293 results on '"Reddy, E. P."'
Search Results
2. Comparing the performance of support vector machine and K neighbors classifier in predicting airline passenger satisfaction with high accuracy
- Author
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Kumari, V. Sheeja, Reddy, E. Prem Vardhan, and Ramesh, S.
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- 2024
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3. Simulation and design of novel free space log periodic array antenna to reduce the VSWR and compared with dipole antenna at the frequency range of 35 MHz to 60 MHz
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Reddy, E. Manoj Kumar, Nithya, R., and Sathish, T.
- Published
- 2024
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4. The product of split and annihilator dominance of fuzzy graphs
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Aparna, P., Rao, K. V. Suryanarayana, and Reddy, E. Keshava
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- 2023
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5. Improved generalised fuzzy peer group with modified trilateral filter to remove mixed impulse and adaptive white Gaussian noise from colour images
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Suneetha, Akula and Reddy, E. Srinivasa
- Abstract
In image processing applications, image denoising is an emerging area that recovers the original image from noisy image, which is essential in the applications like pattern analysis. The main aim of this study is to propose an effective filtering technique with peer groups for effective image restoration processes. Existing bilateral filter has lower performance in smoothing the high curvature and high gradient regions due to nearby input signals are outliers that miss the filter window. In this research paper, a new approach is proposed that includes fuzzy-based approach and similarity function for filtering the mixed noise. In a peer group, the similarity function was adaptive to edge information and local noise level, which was utilised for detecting the similarity among pixels. In addition, a new filtering method modified trilateral filter (MTF) with improved generalised fuzzy peer group (IGFPG) is proposed to remove mixed impulse and adaptive white Gaussian noise from colour images. The modified trilateral filter includes Kikuchi algorithm and loopy belief propagation to solve the inference issues on the basis of passing local message. In this research work, the images were collected from KODAK dataset and a few real time multimedia images like Lena were also used for testing the effectiveness of the proposed methodology. The collected colour images were contaminated with adaptive white Gaussian noise (AWGN) of standard deviation σε[05,20] and impulse noise of probability pε[0.05, 0.20]. The proposed MTF-IGFPG method has the advantages of consider image photometric and geometric similarities. The local structural similarity and narrow spatial window is applied for smoothing the images to effectively preserve the images. From the simulation, the proposed MTF-IGFPG approach attained better performance related to the existing approaches in light of normalised colour difference (NCD), peak signal-to-noise ratio (PSNR), and mean absolute error (MAE). Hence, the proposed approach almost achieved PSNR of 36 dB, which shows 0.2 dB to 2 dB improvement than the existing methods.
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- 2023
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6. Optimizing the Quality of Predicting the Ill Effects of Intensive Human Exposure to Social Networks Using Ensemble Method.
- Author
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Gadiparthi, Manjunath and Reddy, E. Srinivasa
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SOCIAL networks ,FEATURE extraction ,SUPPORT vector machines ,PLURALITY voting ,RANDOM forest algorithms - Abstract
People may quickly obtain information through a variety of channels including social media, blogs, websites, and other online resources. These platforms have made it possible for information to be shared more easily. As a result, the amount of time that individuals spend on various social networking applications has increased. This research predicts the effects of human exposure to social networks in the near future. In this work a competent model for predicting the ill-effects is provided, that is both accurate and efficient. This model represents a combination of the independent models that have been operating independently so far. Thus each of these models makes a forecast and ultimate selection is decided based on whether or not there exists a majority of convergence of results from the operation of various models. By employing the majority voting system, this strategy attempts to take the benefits of the predictions produced by all the models while also to reduce the inaccuracies generated by each model. Theoretically, this model should outperform the use of individual models in terms of performance. Important features are extracted from the datasets using the proposed model, and the extracted features are then classified using an ensemble model that consists of four popular machine learning models: support vector machines (SVMs), logistic regression (logistic regression), random forest (random forest classification), and neural networks (NN). We have analyzed our prediction performance with the existing methods for number of times by changing the train set and test set data. In all the cases our novel method has been predicting with 3% to 4% improved performance in accuracy, precision, F-1 score, and specificity. From the dataset it has been achievable to attain the highest training and testing accuracy from among the existing models. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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7. A novel energy-efficient clustering protocol in wireless sensor network: multi-objective analysis based on hybrid meta-heuristic algorithm
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Rani, Y. Alekya and Reddy, E. Sreenivasa
- Abstract
Energy efficiency is one of the major challenges in the growing WSNs. Since communication offers a vast place in the consumption of energy, effective routing is the best solution to handle this problem. The lifetime improvement is an important problem since the majority of the WSNs function in an unattended environment, in which monitoring, as well as human access, is not possible in a practical manner. Clustering is one of the powerful approaches, which arranges the system operation for the enhanced lifetime of the network, improves energy efficiency, reduces the consumption of energy, and also attend the scalability of the network. To handle this issue, the present researchers have considered the usage of various clustering algorithms. Yet, the cluster head is burdened by the majority of the suggested algorithms in the process of cluster formation. To handle this problem, this paper plans to develop the energy-efficient clustering for WSN using the improved LEACH protocol. Here, the concept of a hybrid meta-heuristic algorithm is used for the optimal cluster head selection through energy-efficient clustering. The optimal solutions are rated based on the multi-objective function considering the objective constraints like energy, distance, delay, quality of service (QoS), load, and time of death. Communication between the sink node and cluster head uses the distance of separation as a parameter for reducing energy consumption. Two well-performing algorithms, like salp swarm algorithm (SSA) and grasshopper optimization algorithm (GOA) are merged to develop the proposed hybrid algorithm called salp-swarm grasshopper optimization (SS-GO). From the results, for 200 nodes, the normalized energy of SS-GO at 1400th round is 5.41%, 11.43%, 14.71%, and 25.81%, superior to GOA, SSO, O-EHO, and FU-CSA, respectively.Here, the performance of the proposed SS-GO is also higher in the other distance, delay, time of death node, and QOS. The performance of the introduced hybrid algorithm-based LEACH is evaluated in several different scenarios, and it is shown that the proposed protocol improves network lifetime in comparison to a number of the recent similar protocol.
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- 2022
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8. Transient analysis of 5 finned brake drum of a truck
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Raju, A. Bala, Chakradhar, K. V. P., and Reddy, E. Jayakiran
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- 2022
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9. Multimodal Optimal Score Level Fusion Method In Multimodal Biometric System.
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Rao, T. Srinivasa and Reddy, E. Srinivasa
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An invariable mix of Biometric recognition as well as authentication process is used in almost every application for prevention of unauthorized access to computing resources. Though several research initiatives have been undertaken in recent years for making biometric algorithms more accurate for various kinds of features, they have largely ignored the critical aspects like reliability and robustness. Typically, information from multiple modalities is fused in a Multimodal biometric system to counter the shortcomings an individual classifier. This work primarily seeks to make optimum integration of biometric traits viz., iris, fingerprint and finger vein that have great complementary relation among them. It is basically done through optimization of performance in every single classifier through a novel Search Optimization Algorithm with backtracking function. Moreover, it tries to resolve conflicting beliefs affecting individual classifiers through use of proportional conflict redistribution rules, before obtaining a concurrent solution. Optimal behavior under a dynamic environment is shown in this system, either by boosting or, even by suppressing concurrent classifiers, thereby ensuring that classifiers do not have any more issues between them. The suggested multimodal system is developed by applying multimodal datasets generated using benchmarked digital imagery. Our system performs better averaging precision at 98.43% having 1.57% EER, thereby outperforming the existing techniques and promising to develop an advanced multimodal biometric system in subsequent efforts. [ABSTRACT FROM AUTHOR]
- Published
- 2022
10. Stability-aware Energy Efficient Clustering Protocol in WSN using Opposition-based Elephant Herding Optimisation
- Author
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Alekya Rani, Y. and Sreenivasa Reddy, E.
- Abstract
The main intent of this paper is to implement the stability-aware energy-efficient clustering protocol in WSN. This paper plans to derive a multi-objective function with the constraints like energy, distance, delay, stability period, and intents to attain the objective by developing a new well-performing meta-heuristic algorithm called Opposition-based Elephant Herding Optimisation (O-EHO). The objective function diminishes the energy consumption of sensor nodes by optimum selection of cluster heads that leads to maintain the energy balance between the normal nodes. In this way, there is a remarkable enhancement in the performance parameters such as throughput, stability period, and network lifetime. It is proved that the network lifetime is enhanced by the stability period and thus it is considered as the most significant parameter. The experimental analysis proves the competitive performance of the proposed model over other heuristic methods.
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- 2022
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11. ETS-Related Gene Activation Preserves Adherens Junctions and Permeability in Microvascular Endothelial Cells
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Tharakan, Binu, Hunter, Felicia A., Muthusamy, Saravanakumar, Randolph, Sonya, Byrd, Crystal, Rao, Veena N., Reddy, E Shyam P., and Childs, Ed. W.
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- 2022
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12. Extensive parapharyngeal lymphangioma in a adult—Case report and review of literature.
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Balineni, Pradeep, C.H., Venkata Pavan Kumar, Reddy E., Debaraju, and Reddy, Janani S.
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• Lymphangiomas are benign swellings most commonly seen in paediatric population. • MRI is the superior imaging technique to diagnose lymphangiomas. • Surgical excision is the mainstay of treatment. Lymphangiomas are benign swellings most commonly seen in paediatric population. Head and neck are the common sites of presentation rarely can also been seen other sites as axilla, chest, abdomen, liver, spleen. Even though many different modalities have come up surgical excision remains the main stay of treatment. A 24 year male patient presented with complaints of a swelling the neck since 2 months, which was 8 × 5 cms, soft, cystic and transilluminant in the anterior triangle of the neck. MRI study showed features suggestive of a para pharyngeal lymphangioma. Patient had undergone surgical excision through trans mandibular trans cervical approach for extra cranial part and for intra cranial part has got OK-432 sclerosant therapy. Lymphangiomas are benign, hamartamatous swellings. They are mostly noticed due to their large size causing disfigurement, dyspnoea or dysphagia. They are diagnosed prenatally by using ultrasound scanning. MRI is the superior imaging technique to diagnose lymphangiomas. Surgical excision is the mainstay of treatment, other treatment modalities as scelerotherapy, laser excision, radiotherapy, unroofing, aspiration or steroids are also used. [ABSTRACT FROM AUTHOR]
- Published
- 2020
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13. Robust Gaussian Noise Detection and Removal in Color Images using Modified Fuzzy Set Filter
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Suneetha, Akula and Srinivasa Reddy, E.
- Abstract
In the data collection phase, the digital images are captured using sensors that often contaminated by noise (undesired random signal). In digital image processing task, enhancing the image quality and reducing the noise is a central process. Image denoising effectively preserves the image edges to a higher extend in the flat regions. Several adaptive filters (median filter, Gaussian filter, fuzzy filter, etc.) have been utilized to improve the smoothness of digital image, but these filters failed to preserve the image edges while removing noise. In this paper, a modified fuzzy set filter has been proposed to eliminate noise for restoring the digital image. Usually in fuzzy set filter, sixteen fuzzy rules are generated to find the noisy pixels in the digital image. In modified fuzzy set filter, a set of twenty-four fuzzy rules are generated with additional four pixel locations for determining the noisy pixels in the digital image. The additional eight fuzzy rules ease the process of finding the image pixels,whether it required averaging or not. In this scenario, the input digital images were collected from the underwater photography fish dataset. The efficiency of the modified fuzzy set filter was evaluated by varying degrees of Gaussian noise (0.01, 0.03, and 0.1 levels of Gaussian noise). For performance evaluation, Structural Similarity (SSIM), Mean Structural Similarity (MSSIM), Mean Square Error (MSE), Normalized Mean Square Error (NMSE), Universal Image Quality Index (UIQI), Peak Signal to Noise Ratio (PSNR), and Visual Information Fidelity (VIF) were used. The experimental results showed that the modified fuzzy set filter improved PSNR value up to 2-3 dB, MSSIM up to 0.12-0.03, and NMSE value up to 0.38-0.1 compared to the traditional filtering techniques.
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- 2021
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14. RETRACTED ARTICLE: Moving object detection based on unified model
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Bondalapati, Anjanadevi, Bhavanam, S. Nagakishore, and Reddy, E. Srinivasa
- Abstract
Moving object detection is an essential step in several computer visions like salient object detection, visual object tracking, and video surveillance etc. Many existing methods have a drawback of low efficiency in the challenging scenes like dynamic background, camera jitter, and bad weather images. In this research, Unified model (Yolov3-Improved Non-Maximum Suppression (INMS)) method is proposed to increases the performance in moving object detection. The Change Detection net (CDNET) dataset was trained and also COCO 2014 and PascalVOC data sets were applied to analyse the performance of the developed model. The experimental analysis shows that the developed method has higher efficiency in detecting objects in camera jitter and dynamic background scene. The performance evaluation has been done using the precision, recall, IoU and the accuracy metrics for the proposed model. The results show that the developed model has the ability to effectively identify multiple objects in the dynamic background, while the existing method has the capacity to identify only single object.
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- 2021
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15. Graph classification system using normalised graph convolutional networks
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Chandrika, G. Naga and Reddy, E. Srinivasa
- Abstract
Recent years have authenticated a dramatic increase in graph applications due to their advancements in their informative and social connectivity. In large-scale networks, graph data contains huge information and exhibits distinct characteristics. Traditional graph convolutional networks cannot handle the problem of covariate-shift in the neural-networks during analysing the patterns. This research presents an intelligence-based graph-classification model for citation networks by using normalised graph convolution networks to handle covariate-shift problem and provides greater regularisation with a decrement in loss to a greater extent. This problem is vanquished by utilising the normalisation constraint for the individual batch constructed as per network developed for graph-structures which eventually lead to building a robust model. The model classifies the underlying connectivity patterns of the structural and informative relationships with appropriate embeddings. This information is fed to neural-network and learns hidden layer representation that encode both local graphs and features of the nodes in the citation network.
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- 2021
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16. Social Media as a Marketing Tool for Political Purpose and Its Implications on Political Knowledge, Participation, and Interest
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Ganduri, Rakesh, Reddy, E., and Reddy, T.
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Social media usage is one of the most popular online activities these days. In 2018, it is estimated that 2.65 billion people were using social media worldwide and these numbers are expected to reach almost 3.1 billion by 2021, the majority of whom are young people. With some notable exceptions, there are few studies that have been undertaken in the field of politics and social media. This study examines how usage of social media for political purpose influences the voting behavior of the voter in this realm. The authors test the proposition that using social media for political use offers a new pathway to their political participation, interest, and knowledge using path analysis. Results demonstrate that political use of social media impacted both levels of and growth in traditional political participation, interest, and knowledge during the 2019 election.
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- 2020
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17. Development of knowledge based parametric CAD modeling system for spur gear: An approach.
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Jayakiran Reddy, E. and Pandu Rangadu, V.
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PARAMETER estimation ,COMPUTER-aided design ,SPUR gearing ,MATHEMATICAL optimization ,COMPUTATIONAL complexity - Abstract
Abstract In almost every mechanism, gears are extensively used machine parts to transmit power from one shaft to other with or without change of speed or direction. The need for better and efficient power transmission has increased the demand for effective gear design systems. All renowned formal gear design systems use AGMA (American Gear Manufacturers Association) standards for design. The conventional processes demand 150 to 200 man-hours to design the new optimized typical gear. Significant time reduction in design calculations can be obtained by using the soft computing tool. Additionally, advanced CAD Modeling techniques like parametric modeling can further trim down the design time. Hence, the present work is aimed to develop a knowledge-based parametric CAD modeling system for Spur Gear Design. This framework or system utilizes Knowledge Based Engineering (KBE) incorporating the rules of AGMA in design computations and parametric modeling in CAD. SolidWorks customization is carried out to generate the spur gear CAD model based on AGMA standards. Further, this system is proven as standard, faster, and simpler gear design system when compared with conventional design system. Results of this system are reasonably close to AGMA results under specific conditions. [ABSTRACT FROM AUTHOR]
- Published
- 2018
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18. Classification of fingerprint images with the aid of morphological operation and AGNN classifier.
- Author
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Borra, Subba Reddy, Jagadeeswar Reddy, G., and Sreenivasa Reddy, E.
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HUMAN fingerprints ,BIOMETRIC identification ,ARTIFICIAL neural networks ,DIGITAL image processing ,IMAGE segmentation - Abstract
The uniqueness, public recognition, firmness, and their least jeopardy of fingerprints made an extensively and proficiently utilized personal authentication metrics. Fingerprint technology is a biometric method that is used to recognize persons on the basis of their physical traits. These physical forms comprise of ridges and valleys prevailing on the surface of fingertips. Fingerprint images are direction-oriented pattern fashioned using ridges and valleys. The reputation of the fingerprint image regulates the durability of a fingerprint authentication scheme. For enhancing the restrictions of prevailing fingerprint image augmentation approaches we have proposed an effectual method to pact with various fingerprint images. The proposed methodology alienated into three modules. Primarily, the fingerprint image is endangered to denoising procedure where Wave atom transform is used. Once this procedure is accomplished the image augmentation is achieved for improving the classification rate. The morphological operation is used in our proposed technique in order to augment the image. The morphological operators such as dilation and area opening are used here for improvement. Finally the ordering of fingerprint image is done. Adaptive Genetic Neural Network (AGNN) is used for classification of images efficiently. [ABSTRACT FROM AUTHOR]
- Published
- 2018
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19. Effect of supplementing germinated sprouts of millets on performance, carcass variables, immune and anti-oxidant responses in commercial broiler chickens.
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RAO, S. V. RAMA, RAJU, M. V. L. N., PRAKASH, B., RAJKUMAR, U., and REDDY, E. P. K.
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MILLETS as feed ,DIETARY supplements ,ANIMAL nutrition ,SORGHUM as feed ,GERMINATION - Abstract
Germination of millets (sprouts) increases activity of enzymes in grains and availability of amino acid, vitamins and trace minerals to chicken. These nutrients are required for growth, immunity and anti-oxidant system in biological system. An experiment was conducted to study the effects of feeding sprouts of korra, ragi, bajra and sorghum at 5% of expected feed intake from day one to 42 d of age. Total phenolic content among the millets was higher in sprouts of bajra followed by ragi, korra and sorghum in order (148, 110, 95 and 90 mg GAE/g, respectively). A group without feeding sprouts was kept as control. Maize-soybean meal diets having recommended concentrations of nutrients for starter (1-21 d) and finisher (22-42 d of age) phases were fed to all the groups. Maximum and minimum temperature and humidity during the 6-week experimental period were 32.17 and 25.1°C and 60.8 and 33.4%, respectively. Body weight gain and feed efficiency at 42 d of age, slaughter variables (ready to cook yield, relative weights of liver, breast, abdominal fat) and immune responses (antibody titres against ND vaccine, CMI response to PHA-P) were not affected due to feeding of sprouted grains. Lipid peroxidation and activities of glutathione peroxidase, glutathione reductase and super oxide dismutase were significantly less in broilers fed sprouted millets compared to the control group. Based on the results, it is concluded that oxidative stress could be reduced in broiler chicks reared during summer season in open sided poultry house without affecting performance, carcass variables and immune responses. [ABSTRACT FROM AUTHOR]
- Published
- 2018
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20. Pattern analysis and texture classification using finite state automata scheme
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Reddy, B. Eswara, Reddy, Ramireddy Obulakonda, and Reddy, E. Keshava
- Abstract
The paper proposes a complete modelling of finite state automata along with the associated classifier for texture classification. Pattern analysis of the texture image is performed by proposing a symbolic pattern-based algorithm. This algorithm is developed based on the symbolic dynamics and finite state automata theory for estimating the state transition of the texture variations. Texture image is divided into several partitions, i.e., texture, background of the texture, shadow of the texture, etc. Finite automata state transitions are used to extract the features from the symbolised image. A binary classifier is designed to classify the texture categories based on the feature extraction from the finite automata theory. Pattern analysis is performed on the KITH-TIPS dataset for ten varied categories of texture. 99.12% classification accuracy is achieved when compared with other state-of-art techniques. The experimental study shows the better efficiency of the proposed system when compared to other existing methods.
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- 2019
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21. Utilization of enzyme incubated rape seed meal as a source of protein in commercial broiler diets.
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RAO, S. V RAMA, RAJU, M. V. L. N., PRAKASH, B., VERMA, S. K., RAJKUMAR, U., and REDDY, E. P. K.
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BROILER chickens ,ANIMAL feeding behavior ,PROTEIN content of food ,SEEDS as food ,BODY weight ,PHYSIOLOGY - Abstract
Two experiments were conducted to study the possibility of utilizing enzyme incubated rape seed meal (RSM) in broiler diets (1 to 42 day of age). The RSM was anaerobically incubated with non-starch polysaccharide hydrolyzing enzymes (cellulase 1,500 IU, xylanase 250 IU and pectinase 125 IU per kilogram) for 300 minutes (processed RSM1, experiments 1 and 2) and 600 min (processed RSM2, experiment 2). Processed and raw RSM contained similar concentration of glucosinolates (275 and 288 mM/g, respectively). During the experiment 1, maize-soybean meal control diet (CD), two diets with raw (RRSM) and processed RSM (PRSM1) at 100 g/kg each were prepared. In the experiment 2, RRSM, PRSM1 and PRSM2 were included each at 3 levels (50, 100 and 150 g/kg). Each diet was offered to 9 replicates having 5 birds in each. Body weight gain (BWG), feed intake (FI), feed efficiency (FE), ready to cook (RTC) yield and breast weight were depressed by incorporating RRSM (experiments 1, 2). As a result of this study, PRSM1 significantly reduced FI, maintained BWG and improved FE compared to the control group. BWG was not affected by including PRSM1 and PRSM2 up to 100 and 50 g/kg, respectively but depressed at higher inclusion levels compared to the CD. The BWG in processed RSM fed groups were higher than the respective level of raw RSM fed groups. Retention of energy and protein were improved by incorporating processed RSM compared to those fed RRSM. Based on the data, it is concluded that enzyme (cellulase, xylanase and pectinase) incubated RSM for 300 minutes improved the nutritional value, which can be incorporated up to 100 g/kg in broiler diet without affecting performance and slaughter variables, which can be attributed to the improved retention of energy and protein in RSM based diets. [ABSTRACT FROM AUTHOR]
- Published
- 2017
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22. Computational study of Jeffrey’s non-Newtonian fluid past a semi-infinite vertical plate with thermal radiation and heat generation/absorption.
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Abdul Gaffar, S., Ramachandra Prasad, V., and Keshava Reddy, E.
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NON-Newtonian fluids ,HEAT radiation & absorption ,STRUCTURAL plates ,BOUNDARY layer (Aerodynamics) ,MASS transfer ,FINITE difference method - Abstract
The nonlinear, steady state boundary layer flow, heat and mass transfer of an incompressible non-Newtonian Jeffrey’s fluid past a semi-infinite vertical plate is examined in this article. The transformed conservation equations are solved numerically subject to physically appropriate boundary conditions using a versatile, implicit finite-difference Keller box technique. The influence of a number of emerging non-dimensional parameters, namely Deborah number ( De) , ratio of relaxation to retardation times ( λ ) , Buoyancy ratio parameter ( N ), suction/injection parameter ( f w ) , Radiation parameter ( F ), Prandtl number ( Pr ), Schmidt number ( Sc ), heat generation/absorption parameter ( Δ ) and dimensionless tangential coordinate ( ξ ) on velocity, temperature and concentration evolution in the boundary layer regime is examined in detail. Also, the effects of these parameters on surface heat transfer rate, mass transfer rate and local skin friction are investigated. This model finds applications in metallurgical materials processing, chemical engineering flow control, etc. [ABSTRACT FROM AUTHOR]
- Published
- 2017
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23. Mixed convection boundary layer flows of a non-Newtonian Jeffrey’s fluid from a non-isothermal wedge.
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Gaffar, S. Abdul, Prasad, V. Ramachandra, and Keshava Reddy, E.
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NEWTONIAN fluids ,BOUNDARY layer (Aerodynamics) ,CONVECTIVE flow ,INCOMPRESSIBLE flow ,FINITE difference method - Abstract
This article presents the nonlinear, steady state mixed convection boundary layer flow, heat and mass transfer of an incompressible non-Newtonian Jeffrey’s fluid past a non-isothermal wedge. The transformed conservation equations are solved numerically subject to physically appropriate boundary conditions using a versatile, implicit finite-difference Keller box technique. The influence of a number of emerging non-dimensional parameters, namely Deborah number ( De ), ratio of relaxation to retardation times ( λ ), pressure gradient parameter ( m ), Buoyancy ratio parameter ( N ), mixed convection parameter ( λ 1 ) , radiation parameter ( F ) and heat generation/absorption parameter ( Δ ) on velocity, temperature and concentration evolution in the boundary layer regime is examined in detail. Also, the effects of these parameters on surface heat transfer rate , mass transfer rate and local skin friction are investigated. [ABSTRACT FROM AUTHOR]
- Published
- 2017
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24. Magnetohydrodynamics Flow of Non-Newtonian Fluid from a Vertical Permeable Cone in the Presence of Thermal Radiation and Heat Generation/Absorption
- Author
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Abdul Gaffar, S., Prasad, V., and Reddy, E.
- Abstract
The nonlinear, steady state magnetohydrodynamics natural convection boundary layer flow, heat and mass transfer of an viscoelastic incompressible Jeffrey’s fluid from a vertical permeable cone with thermal radiation and heat generation/absorption effects is investigated in this article. The transformed conservation equations are solved numerically subject to physically appropriate boundary conditions using a versatile, implicit finite-difference Keller box technique. The Rosseland diffusion algebraic approximation is utilized to simulate thermal radiation effects. The surface of the cones is maintained at a constant temperature and concentration with mass flux present. Excellent correlation of the present results with previous studies is obtained to validate the numerical code. The influence of Deborah number (De), ratio of relaxation to retardation times ($$\lambda $$ λ ), radiation parameter (F), heat generation/absorption parameter ($$\Delta $$ Δ ), suction/injection parameter ($$f_{w}$$ fw ), magnetic parameter (M) and dimensionless tangential coordinate ($$\xi $$ ξ ) on velocity, temperature and concentration evolution in the boundary layer regime are examined in detail. Also, the effects of these parameters on local skin friction, heat transfer rate and mass transfer rateare investigated.
- Published
- 2017
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25. Retraction Note to: Moving object detection based on unified model
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Bondalapati, Anjanadevi, Bhavanam, S. Nagakishore, and Reddy, E. Srinivasa
- Published
- 2023
- Full Text
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26. An Efficient Fingerprint Enhancement Technique Using Wave Atom Transform and MCS Algorithm.
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Borra, Subba Reddy, Reddy, G. Jagadeeswar, and Reddy, E. Sreenivasa
- Subjects
HUMAN fingerprints ,INTRUSION detection systems (Computer security) ,BIOMETRIC identification ,DATA security ,IMAGE quality analysis - Abstract
Fingerprints are widely and successfully used for personal identification. This is mainly due to their individuality, stability through life, uniqueness among people, public acceptance and their minimum risk of intrusion. Fingerprint technology is a biometric technique utilized to identify persons based on their physical traits. The physical patterns of this technique consist of ridges and valleys that exist on the surface of fingertips. Fingerprint images are direction-oriented patterns formed by ridges and valleys. The eminence of the fingerprint image is determined by the sturdiness of a fingerprint authentication system. In order to improve the limitations of existing fingerprint image enhancement methods an efficient technique is proposed to deal with low quality fingerprint images. The proposed methodology can be divided into three modules. In the first module, the fingerprint image is subjected to denoising process where Wave atom transform is utilized. After the completion of this process the image enhancement is performed with the help of optimization algorithm. In our enhancement approach, a Modified Cuckoo Search (MCS) algorithm is used as an optimizer. This helps to look for the best gray level distribution that maximizes the objective function. [ABSTRACT FROM AUTHOR]
- Published
- 2016
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27. MHD free convection flow of Eyring–Powell fluid from vertical surface in porous media with Hall/ionslip currents and ohmic dissipation.
- Author
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Abdul Gaffar, S., Ramachandra Prasad, V., and Keshava Reddy, E.
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POROUS materials ,CARBON foams ,ENERGY dissipation ,HEAT transfer ,MASS transfer - Abstract
A mathematical study is presented to analyze the nonlinear, non-isothermal, magnetohydrodynamic (MHD) free convection boundary layer flow, heat and mass transfer of non-Newtonian Eyring–Powell fluid from a vertical surface in a non-Darcy, isotropic, homogenous porous medium, in the presence of Hall currents and ionslip currents. The governing nonlinear coupled partial differential equations for momentum conservation in the x , and z directions, heat and mass conservation, in the flow regime are transformed from an ( x , y , z ) coordinate system to a ( ξ , η ) coordinate system in terms of dimensionless x -direction velocity ( f ′) and z -direction velocity ( G ), dimensionless temperature and concentration functions ( θ and ϕ ) under appropriate boundary conditions. Both Darcian and Forchheimer porous impedances are incorporated in both momentum equations. Computations are also provided for the variation of the x and z direction shear stress components and also heat and mass transfer rates. It is observed that with increasing ɛ , primary velocity, secondary velocity, heat and mass transfer rates are decreased whereas, the temperature, concentration and skin friction are increased. An increasing δ is found to increase primary and secondary velocities, skin friction, heat and mass transfer rates. But the temperature and concentration decrease. Increasing β e and β i are seen to increase primary velocity, skin friction, heat and mass transfer rates whereas secondary velocity, temperature and concentration are decreased. Excellent correlation is achieved with a Nakamura tridiagonal finite difference scheme ( NTM ) . The model finds applications in magnetic materials processing, MHD power generators and purification of crude oils. [ABSTRACT FROM AUTHOR]
- Published
- 2016
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28. An Efficient QBIR System Using Adaptive Segmentation and Multiple Features.
- Author
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Neelima, N., Reddy, E. Sreenivasa, and Kalpitha, N.
- Subjects
CONTENT-based image retrieval ,IMAGE retrieval ,K-means clustering ,BIG data ,IMAGE segmentation - Abstract
Query by Image Content Retrieval abbreviated as QBIR, has become new thirst now a days. By using this systems, user can retrieve the similar images of an already existed image (or) a rough sketch (or) a symbolic representation. To make more efficient and user friendly QBIR multiple features areemployed. This paper proposes a novel approach for image retrieval using adaptive k-means clustering and shape, texture features. The experimental results portraystheperformance of the proposed retrieval system in terms of better precision. To evaluate the proposed method COIL and MPEG-7 shape 1 datasets are used. [ABSTRACT FROM AUTHOR]
- Published
- 2016
- Full Text
- View/download PDF
29. Drugging the 'undruggable' cancer targets
- Author
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Dang, Chi V., Reddy, E. Premkumar, Shokat, Kevan M., and Soucek, Laura
- Abstract
In this Viewpoint article, we asked four scientists working to target important, but so-called 'undruggable', proteins in cancer for their opinions on the most crucial advances, as well as the challenges and what the future holds for this important area of cancer research.
- Published
- 2017
- Full Text
- View/download PDF
30. Computational Study of MHD Free Convection Flow of Non-Newtonian Tangent Hyperbolic Fluid from a Vertical Surface in Porous Media with Hall/Ionslip Currents and Ohmic Dissipation
- Author
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Gaffar, S., Prasad, V., and Reddy, E.
- Abstract
A numerical study is presented to analyze the nonlinear, non-isothermal, magnetohydrodynamic (MHD) free convection boundary layer flows of non-Newtonian tangent hyperbolic fluid past a vertical surface in a non-Darcy, isotropic, homogenous porous medium in the presence of Hall currents and Ionslip currents. The governing nonlinear coupled partial differential equations for momentum conservation in x and z directions, heat and mass conservation in the flow regime are transformed from an (x, y, z) coordinate system to ($$\upxi ,\upeta $$ ξ,η ) coordinate system in terms of dimensionless x-direction velocity ($$f^{\prime }$$ f′ ) and z-direction velocity (G), dimensionless temperature and concentration functions ($$\uptheta $$ θ and $$\upphi $$ ϕ ) under appropriate boundary conditions. Both Darcian and Forchheimer porous impedances are incorporated in both momentum equations. Computations are also provided for the variation of the x and z direction shear stress components and also heat and mass transfer rates. Increasing Weissenberg number (We) is observed to decrease primary and secondary velocity and concentration but increase temperature. It is found that the primary and secondary velocity is increased with increasing power law index (n) whereas the temperature and concentration are decreased. Increasing hall and Ionslip current ($$\beta _{e}$$ βe and $$\beta _{i}$$ βi ) is observed to increase primary velocity but decreases secondary velocity, temperature and concentration. Increasing magnetic parameter ($$N_{m}$$ Nm ) is seen to decrease primary velocity but decreases secondary velocity, temperature and concentration. Increasing Darcy number (Da) is found to increase primary and secondary velocity whereas decreases temperature and concentration. Increasing Forchheimer parameter (Fs) is seen to decrease primary and secondary velocity but increases temperature and concentration. The model finds applications in magnetic materials processing, MHD power generators and purification of crude oils.
- Published
- 2017
- Full Text
- View/download PDF
31. Magnetohydrodynamic Free Convection Flow and Heat Transfer of Non-Newtonian Tangent Hyperbolic Fluid from Horizontal Circular Cylinder with Biot Number Effects
- Author
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Gaffar, S., Prasad, V., and Reddy, E.
- Abstract
This article presents the nonlinear, steady boundary layer flow and heat transfer of an incompressible Tangent Hyperbolic non-Newtonian fluid from a Horizontal Circular Cylinder in the presence of magnetic field and Biot number effects. The transformed conservation equations are solved numerically subject to physically appropriate boundary conditions using a second-order accurate implicit finite-difference Keller Box technique. The numerical code is validated with previous studies. The influence of a number of emerging non-dimensional parameters, namely the Weissenberg number (We), power law index (n), Prandtl number (Pr), Biot number $$(\upgamma )$$ (γ) , the magnetic parameter (M) and dimensionless tangential coordinate ($$\xi $$ ξ ) on velocity and temperature evolution on the boundary layer regime are examined in detail. Furthermore, the effects of these parameters on surface heat transfer rate and local skin frictionare also investigated. Validation with earlier Newtonianstudies is presented and excellent correlation achieved. It is found that the velocity, skin friction and heat transfer rate reduce with increasing We. Whereas, there is slight increase in temperature. Increasing nis observed to increase the velocity and heat transfer rate but decreases temperature and skin friction. An increasing $$\upgamma $$ γ is seen to increase velocity, temperature, local skin friction and heat transfer rate. And an increasing Mis found to decrease velocity, skin friction and heat transfer rate but increases the temperature. The study is relevant to chemical materials processing applications.
- Published
- 2017
- Full Text
- View/download PDF
32. An experimental investigation of PCM based thermal energy storage system using diesel engine exhaust-gas
- Author
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Reddy, R. Meenakshi, Maheswari, C. Uma, Reddy, E. Siva, and Reddy, K. Krishna
- Abstract
Waste heat recovery is one of the energy conservation options. About 30% of heat produced by diesel engines that are coupled to electric power generators are carried away by exhaust gases as waste part of the heat energy produced. In the present work, CFD and experimental analysis was made to study the utilisation of the waste heat energy carried by exhaust gases to obtain hot water used for various purposes in commercial buildings, hostels, etc. The effect of fins arranged on the outer periphery of inner cylinder is also studied. Fin arrangement increases the heat transfer rate by reducing the charging time of TESS. Theoretical, numerical and experimental results were compared and found that the values are closer about 10%. The performance of the TESS is evaluated by calculating performance characteristics such as charging and discharging rates and 14% of heat can be recovered from the 30% energy being wasted.
- Published
- 2017
- Full Text
- View/download PDF
33. Evaluation of remineralizing potential of Calcium Sucrose Phosphate and CPP-ACP: An in vitro study
- Author
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Thabitha Rani, S., Manjula, M., Rajendra Reddy, E., VinayKumar, L., Ajay Mohan, T., and Sowmya, B.
- Abstract
In depth understanding of dental caries progression and improved diagnostic methodologies to assess early demineralization has enabled development of novel remineralizing therapeutics. Hence, an emerging goal of modern dentistry is to manage non-cavitated carious lesions non-invasively through remineralization.
- Published
- 2016
- Full Text
- View/download PDF
34. Thermal radiation and heat generation/absorption effects on viscoelastic double-diffusive convection from an isothermal sphere in porous media.
- Author
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Abdul Gaffar, S., Ramachandra Prasad, V., Keshava Reddy, E., and Anwar Bég, O.
- Subjects
HEAT radiation & absorption ,VISCOELASTICITY ,CONVECTIVE flow ,POROUS materials ,DRAG force - Abstract
Buoyancy-driven convective heat and mass transfer in boundary layer flow of a viscoelastic Jeffrey fluid from a permeable isothermal sphere embedded in a porous medium is studied. Thermal radiation flux and heat generation/absorption are also incorporated in the model. A non-Darcy drag force model is employed to simulate the effects of linear porous media drag and second order Forchheimer drag. The Rosseland diffusion algebraic approximation is utilized to simulate thermal radiation effects. The non-dimensionalized boundary layer equations are solved using implicit, finite-difference scheme. The influence of Darcy number ( Da ), Deborah number ( De ), ratio of relaxation to retardation times ( λ ) , radiation parameter ( F ), Forchheimer inertial parameter ( Λ ) and heat generation/absorption parameter ( Δ ) , on normalized velocity, temperature, concentration, skin friction, heat and mass transfer rates are also studied. The present study has applications in the storage of nuclear waste materials. [ABSTRACT FROM AUTHOR]
- Published
- 2015
- Full Text
- View/download PDF
35. Efficient Design and Deployment of Aqua Monitoring Systems Using WSNs and Correlation Analysis.
- Author
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Chandanapalli, S. Babu, Reddy, E. Sreenivasa, and Lakshmi, D. Rajya
- Subjects
AQUACULTURE ,ENVIRONMENTAL monitoring ,WIRELESS sensor networks ,STATISTICAL correlation ,PONDS ,DATA transmission systems - Abstract
The roots of innovation are extending towards every field to provide ace solution. We cater an ace solution for aquaculture, where their yields (shrimp, fish, etc.) depends on the ponds water characteristics. The parameters depending on water must kept at certain optimal levels for better cultivation of Aqua. The parameters of water extremely project alterations during the day and also alter depending upon the environmental conditions i.e., it is necessary to monitor these parameters with high frequency. We adopt wireless sensor networks to monitor aqua forms. This system consists of two modules, they are transmitter and receiver station. We navigate data to database at receiver station through the GSM. The graphical user interface was designed in such a manner that the observations are forwarded to the farmer as message in their respective local languages to their mobile phones. That alerts them in unhygienic environmental conditions for adopting suitable measures. [ABSTRACT FROM AUTHOR]
- Published
- 2015
- Full Text
- View/download PDF
36. Comparative Study of Linear and Non-Linear Theories of Radial Consolidation of Lightly OC Clays.
- Author
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Ayub Khan, P., Madhav, M., and Saibaba Reddy, E.
- Published
- 2015
- Full Text
- View/download PDF
37. Software Test Automation: An Algorithm for Solving System Management Automation Problems.
- Author
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Rauf, E.M. Abdul and Reddy, E. Madhusudhana
- Subjects
AUTOMATION ,TECHNOLOGICAL revolution ,ALGORITHMS ,COMPUTER programming ,MACHINE theory - Abstract
In software industry, automation plays a major role for improving the test efficiency of software test organisation. For ensuring test coverage satisfaction and thereby reducing risk, projects use more people for manual testing or use automation tools or techniques to improve the level of test automation. The choice of selection depends on reduction in project cycle time or reduction in time for test. This paper discusses about software automation steps and explains an algorithm for addressing the issues faced in system management automation of various services like DHCP, DNS, Firewall etc. Paper is written based on author's experience using various automation frame works. [ABSTRACT FROM AUTHOR]
- Published
- 2015
- Full Text
- View/download PDF
38. Age Group Classification of Facial Images Using Rank Based Edge Texture Unit (RETU).
- Author
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Babu, Ch. Rajendra, Reddy, E. Sreenivasa, and Rao, B. Prabhakara
- Subjects
AGE groups ,DEMOGRAPHIC characteristics ,MATRICES (Mathematics) ,ALGEBRA ,BOOLEAN matrices - Abstract
Human beings can easily categorize a person's age group from a facial image where as this ability has not been promising in the computer vision community. To address this problem very important area of research, the present paper proposes a novel scheme of age classification system using features derived from co-occurrence parameters using Rank based Edge Texture Unit (RETU). The Co-occurrence Matrix (CM) on RETU characterizes the relationship between the neighbouring edge values, while preserving local information. The novelty of the proposed RETU is it classifies the age of human into seven categories i.e. in the age groups of 1-10, 11-20, 21-30, 31-40, 41-50, 51-60, and greater than 60. The TU of the proposed RETU ranges from 0 to 17 and thus reduces overall complexity in evaluating features from CM. The co occurrence features extracted from the RETU provide complete facial image information for age classification purpose. The RETU reduces each 3×3 sub image into 2×2 sub image while preserving the texture features and thus reduces the overall dimensionality of the image. [ABSTRACT FROM AUTHOR]
- Published
- 2015
- Full Text
- View/download PDF
39. Analysis of the microstructure of superconducting YBCO foams by means of AFM and EBSD.
- Author
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Koblischka, Michael, Koblischka-Veneva, Anjela, Reddy, E., and Schmitz, Gregor
- Published
- 2014
- Full Text
- View/download PDF
40. Retention of fissure sealants in young permanent molars affected by dental fluorosis: a 12-month clinical study.
- Author
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Hasanuddin, S., Reddy, E., Manjula, M., Srilaxmi, N., Rani, S., and Rajesh, A.
- Subjects
PIT & fissure sealants (Dentistry) ,FLUOROSIS ,DENTAL caries research ,PEDIATRIC dentistry ,DENTITION ,NUTRITION & oral health - Abstract
Aim: To evaluate and compare retention and caries occurance following placement of Clinpro and FUJI VII fissure sealants, by two different techniques simultaneously in unsealed, contralateral young permanent molars of 7- to 10-year-old children affected by mild to moderate dental fluorosis at various recall intervals of 1 week, 1, 3, 6 and 12 months. Study design: 80 schoolchildren with mild to moderate dental fluorosis were assigned to Group A and Group B with 40 children in each group. In Group A Clinpro fissure sealant and in Group B Fuji VII fissure sealant was used. In both the groups fissure sealants were applied by conventional fissure sealant technique (CST) on one side and enameloplasty sealant technique (EST) on the other side of the same arch. The applied fissure sealants were evaluated clinically for retention and caries incidence. Results: Clinpro fissure sealant showed a retention rate of 95% when compared with Fuji VII (57.5%) at the end of 12 months, which was statistically significant. Regarding techniques, EST showed better results than CST in both the groups. Statistics: Comparison of groups with respect to retention and techniques at different time periods was performed using Mann-Whitney U test ( p < 0.05). Comparison of different time periods with respect to retention and technique in all the groups was performed using Wilcoxon matched pairs test by ranks ( p < 0.05). Conclusion: Clinpro fissure sealant showed better retention at all treatment intervals, when compared with Fuji VII. Further follow-up is required to study the efficacy of the fissure sealant placement techniques. [ABSTRACT FROM AUTHOR]
- Published
- 2014
- Full Text
- View/download PDF
41. Flow and Heat Transfer of Jeffreys Non-Newtonian Fluid from Horizontal Circular Cylinder.
- Author
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Prasad, V. Ramachandra, Gaffar, S. Abdul, and Reddy, E. Keshava
- Abstract
The boundary-layer flow and heat transfer of an incompressible Jeffreys viscoelastic fluid from a permeable horizontal circular cylinder is analyzed. The surface of the cylinder is maintained at a constant temperature. The boundary-layer conservation equations, which are parabolic in nature, are normalized into nonsimilar form and then solved numerically with the well-tested, efficient, implicit, stable Keller-box finite difference scheme. The variation of the reduced Nusselt number and local skin-friction coefficient with Deborah number and suction parameter, for various values of Prandtl number, and ratio of relaxation to retardation times are tabulated and provided in graphical form. It is found that the velocity is reduced with increasing Deborah number, whereas the temperature is increased. Increasing the ratio of relaxation to retardation times enhances the velocity but decreases the temperature. Increasing the Deborah number is observed to decrease the Nusselt number (heat transfer rate) and the skin-friction coefficient. Increasing the ratio of relaxation to retardation times is found to increase the Nusselt number (heat transfer rate) and the local skin friction. [ABSTRACT FROM AUTHOR]
- Published
- 2014
- Full Text
- View/download PDF
42. Neural Networks for Intrusion Detection and Its Applications.
- Author
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Reddy, E. Kesavulu
- Subjects
INTRUSION detection systems (Computer security) ,ARTIFICIAL neural networks ,INFORMATION technology security ,OPTIMAL control theory ,SOFT computing - Abstract
With rapid expansion of computer networks during the past decade, security has become a crucial issue for computer system. Different soft-computing based methods have been proposed in recent years for the development of intrusion detection system. Different neural network structures are analyzed to find the optimal neural network with regards to the number of hidden layers. Misuse detection is the process of attempting to identify instances of network attacks by comparing current activity against the expected actions of an intruder. Most current approaches to misuse detection involve the use of Rule-based expert systems to identify indications of known attacks. These techniques are less successful in identifying attacks which vary from expected patterns. Artificial neural networks provide the potential to identify and classify network activity based on limited, incomplete, and nonlinear data sources. [ABSTRACT FROM AUTHOR]
- Published
- 2013
43. E.Kesavulu Reddy Cryptosystem to Resistance against Simple Power Analysis Attacks in Mobile Devices.
- Author
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Kesavulu Reddy, E. and Govindarajulu, P.
- Subjects
CRYPTOSYSTEMS ,MOBILE communication systems ,STATISTICAL power analysis ,RSA algorithm ,INFORMATION retrieval - Abstract
Elliptic curve cryptosystems are more efficient and secure than the conventional cryptosystems like RSA cryptosystems. We develop a Secret Key in the EKR Modified Montgomery Inversion Algorithm to avoid leaks the value of function f in Almost Montgomery Inversion Algorithm. The attacker can not guess the Secret key (t) to retrieve the valuable information in smart cards and mobile devices. We want to develop the new cryptosystem based on EKR Modified Montgomery Inversion Algorithm to resistance against Simple Power Analysis Attacks in Side- channel Attacks in Elliptic Curve Cryptosystems like RSA Cryptosystems. [ABSTRACT FROM AUTHOR]
- Published
- 2012
44. A Study of Intrusion Detection in Data Mining.
- Author
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Reddy, E. Kesavulu, Reddy, V. Naveen, and Rajulu, P. Govinda
- Subjects
INTRUSION detection systems (Computer security) ,DATA mining ,ROBUST control ,COMPUTER network security ,COMPUTER engineering - Abstract
Network security technology has become crucial in protecting government and industry computing infrastructure. Modern intrusion detection applications facing complex problems. These applications has to be require reliable, extensible, easy to manage, and have low maintenance cost. In recent years, data mining-based intrusion detection systems (IDSs) have demonstrated high accuracy, good generalization to novel types of intrusion, and robust behavior in a changing environment. Still, significant challenges exist in the design and implementation of production quality IDSs. Instrumenting components such as of data transformations, model deployment, cooperative distributed detection and complex engineering endeavor. [ABSTRACT FROM AUTHOR]
- Published
- 2011
45. Influence of blends of alkali resistant fibres and polypropylene fibres on fresh and hardened properties of early strength self compacting concrete
- Author
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Diddi, Pavan Kumar, Sharma, Pushpendra K., Srivastava, Amit, Madduru, Sri Rama Chand, and Reddy, E. Sreenivas
- Abstract
Research outcome on merger of discrete short length fibres like steel fibre, polypropylene fibre (PPF), alkali resistant fibre (ARF) etc. to produce fibre reinforced concrete (FRC) gave a momentous thrust to FRC to use it for shrinkage resistance, crack bridging as well as improving the tensile load carrying resilience. Continuous research is going on FRC by incorporation of various size/shape combinations of similar fibre material or combinations of different fibre material to further improve the performance of FRC. The challenge of using combinations of various industrial by products having reactive and slow pozzolanic nature as part replacement of cement to reduce greenhouse gas emissions is also experimented world over for achieving sustainability in concrete construction activities. These pozzolanic materials [supplementary cementitious materials (SCM)] are also useful in proportioning self compacting concrete (SCC) which offer higher quantities of powder size material (0.125 mm size) as required for achieving qualifying characteristics of SCC. Innovations for improving the SCC to use it in fast track construction and repair projects is being made by several researches, by the way of incorporating various reactive material to attain fast setting, early strength and combine different fibres in to the SCC to have resistance to shrinkage, cracks and develop enough tensile strength in early age for opening the structure to users. Hence there exists a vast scope for research in FRC for improvement of performance by the way of incorporation of compatible materials and fibre combinations. In this study two types of hybrid fibre reinforced self compacting concrete were proportioned with part replacement of cement with metakaolin as reactive SCM and ground granulated blast furnace slag as normal reactive SCM. Various combinations of PPF and ARF investigated in SCC mix with a target to achieve 1 day compressive strength of 25 N/mm2and split tensile strength of 2 N/mm2for use in fast track construction and repair works. Mechanical strength tests and durability tests at early ages as well as up to 56 days conducted.
- Published
- 2022
- Full Text
- View/download PDF
46. A-Myb In Development And Cancer.
- Author
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Ridley, Anne, Frampton, Jon, Tantravahi, Ramana V., Baker, Stacey J., and Reddy, E. Premkumar
- Abstract
The mammalian myb gene family consists of a set of three genes, c-myb, Amyb, and B-myb. Of these, c-myb is the most extensively studied. The three myb genes encode transcription factors that bind DNA in a sequence specific manner and regulate complex cellular processes, such as proliferation, differentiation and histogenesis. Myb proteins play a central role in the maintenance of the differentiation state of cells; thus implicating deregulated myb gene expression or Myb protein function in establishment or maintenance of the neoplastic state. Myb gene sequences are conserved through evolution. While the three myb genes appear to code for proteins that bind to similar DNA sequences, each of these proteins exhibits a characteristic pattern of expression and intrinsic biochemical activity. This review describes the structure, function and regulation of the A-myb gene and its protein product and compares the properties of A-Myb with the more extensively studied c- Myb protein. [ABSTRACT FROM AUTHOR]
- Published
- 2004
- Full Text
- View/download PDF
47. Dual inhibition of CDK4/Rb and PI3K/AKT/mTOR pathways by ON123300 induces synthetic lethality in mantle cell lymphomas
- Author
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Divakar, S K A, Ramana Reddy, M V, Cosenza, S C, Baker, S J, Perumal, D, Antonelli, A C, Brody, J, Akula, B, Parekh, S, and Premkumar Reddy, E
- Abstract
This study describes the characterization of a novel kinase inhibitor, ON123300, which inhibits CDK4/6 (cyclin-dependent kinases 4 and 6) and phosphatidylinositol 3 kinase-d (PI3K-d) and exhibits potent activity against mantle cell lymphomas (MCLs) both in vitroand in vivo. We examined the effects of PD0332991 and ON123300 on cell cycle progression, modulation of the retinoblastoma (Rb) and PI3K/AKT pathways, and the induction of apoptosis in MCL cell lines and patient-derived samples. When Granta 519 and Z138C cells were incubated with PD0332991 and ON123300, both compounds were equally efficient in their ability to inhibit the phosphorylation of Rb family proteins. However, only ON123300 inhibited the phosphorylation of proteins associated with the PI3K/AKT pathway. Cells treated with PD0332991 rapidly accumulated in the G0/G1phase of cell cycle as a function of increasing concentration. Although ON123300-treated cells arrested similarly at lower concentrations, higher concentrations resulted in the induction of apoptosis, which was not observed in PD0332991-treated samples. Mouse xenograft assays also showed a strong inhibition of MCL tumor growth in ON123300-treated animals. Finally, treatment of ibrutinib-sensitive and -resistant patient-derived MCLs with ON123300 also triggered apoptosis and inhibition of the Rb and PI3K/AKT pathways, suggesting that this compound might be an effective agent in MCL, including ibrutinib-resistant forms of the disease.
- Published
- 2016
- Full Text
- View/download PDF
48. Numerical study of non-Newtonian Jeffreys fluid from a permeable horizontal isothermal cylinder in non-Darcy porous medium
- Author
-
Prasad, V., Abdul Gaffar, S., Keshava Reddy, E., and Bég, O.
- Abstract
In this article, we investigate the non-linear steady free convection heat and mass transfer of an incompressible Jeffrey’s non-Newtonian fluid from a permeable horizontal isothermal cylinder in a non-Darcy porous medium. A non-Darcy drag force model is employed to simulate the effects of linear porous media drag and second-order Forchheimer drag. The transformed conservation equations are solved numerically subject to physically appropriate boundary conditions using a versatile, implicit, finite difference technique. The numerical code is validated with previous studies. The influence of a number of emerging non-dimensional parameters, namely Deborah number (De), surface suction parameter (fw), Prandtl number (Pr), ratio of relaxation to retardation times (λ), Darcy number (Da), Forchheimer inertial parameter (Λ) and dimensionless tangential coordinate (ξ) on velocity, temperature and concentration evolution in the boundary layer regime are examined in detail. Furthermore, the effects of these parameters on surface heat transfer rate, mass transfer rate and local skin friction are also investigated. It is observed that velocity decreases with increasing Deborah number and Forchheimer parameter, whereas temperature and concentration are enhanced. Increasing λand Daenhances velocity but reduces temperature and concentration. The heat transfer rate and mass transfer rate are found to decrease with increasing Deborah number, De, and increase with increasing λ. Local skin friction is found to decrease with a rise in Deborah number whereas it is elevated with increasing values of relaxation to retardation time ratio (λ). Increasing suction decelerates the flow and also cools the boundary layer, i.e., reduces temperature and also concentration. With increasing tangential coordinate, the flow is decelerated; whereas, the temperature and concentration are enhanced.
- Published
- 2015
- Full Text
- View/download PDF
49. Discovery of 8-Cyclopentyl-2-[4-(4-methyl-piperazin-1-yl)-phenylamino]-7-oxo-7,8-dihydro-pyrido[2,3-d]pyrimidine-6-carbonitrile (7x) as a PotentInhibitor of Cyclin-Dependent Kinase 4 (CDK4) and AMPK-Related Kinase5 (ARK5).
- Author
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Reddy, M. V. Ramana, Akula, Balireddy, Cosenza, Stephen C., Athuluridivakar, Saikrishna, Mallireddigari, Muralidhar R., Pallela, Venkat R., Billa, Vinay K., Subbaiah, D. R. C. Venkata, Bharathi, E. Vijaya, Vasquez-Del Carpio, Rodrigo, Padgaonkar, Amol, Baker, Stacey J., and Reddy, E. Premkumar
- Published
- 2014
- Full Text
- View/download PDF
50. Fabrication and Mechanical Characterization of Glass Fiber Reinforced Epoxy with CFA and SiC
- Author
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Mayana, Pachakhan, Kavyasree, G, Lakshmi Narasimhulu, P, Althaf Hussain, SG, Maheshwar Reddy, E, and Syman, N
- Abstract
From early history, builders, manufacturers, and engineers continued to develop composites of wide assortments of materials. Furthermore, chemical upheaval changed the composite development of plastics such as polyvinyl, polystyrene, etc., and reinforcement was reinforced essential to provide strength and rigidity. At present composites finds many applications in every aspects of day to day life. The utilization of raw materials like coal, baggase and agricultural wastes are used in large scales in industries for power generation and food production. The utilization of these fuels causing huge environmental pollution liberating in the form of ashes. These ashes can be utilized in effective way for manufacturing and structural applications with their incorporation in polymer matrix composites. To enhance the mechanical properties and in reducing the manufacturing cost, these industrial wastes plays a major role. The present research work mainly focuses on the influence of Coal Fly Ash (CFA), Silicon Carbide (SiC) and a mixture of CFA & SiC as filler materials on the mechanical behavior of Epoxy Glass fiber composite. Various types of composites are fabricated by manual hand lay-up process with varying weight percentages of the filler materials and epoxy resin as matrix material. The filler materials weight proportions are taken as 5%, 10% and 15%. The prepared composites are cut into tests specimen as per the ASTM standards of mechanical characterization. The mechanical properties of the composites (like Tensile strength (ASTM D3039/D3039M: 2017), Flexural strength (ASTM D790: 2015), Impact strength (ASTM D 229 el: 2019), Interlaminar shear strength (ASTM D2240: 2015), Hardness (ASTM D2240: 2015)) are determined by using corresponding testing machines and it is observed that the properties exhibited by the composites are enhanced with the incorporation of CFA, SiC & mixture of CFA and SiC when compared with the unfilled composites. So, these composites are considered a multifunctional composite material where the individual fillers are used in some applications and the combined proportions are used in different applications. They replace the existing materials that are very high in cost and cause more pollution at the time of manufacturing. These composites give the ability to improve and increase the efficiency, autonomy, and life expectancy of a structure.
- Published
- 2022
- Full Text
- View/download PDF
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