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Lean is an endless journey to develop and excel the business. Any company would like to build and deal with the whole world pace should adopt lean. Though, in the vast majority of the companies the management philosophy or mentality of people is not so great to adopt change. Lean typically deals with superior quality, lowest cost and quicker lead time. Lean Supply chain technology in the traffic control system has supplied intelligent green interval responses to control the incapability of standard fixed traffic controllers. The researchers have implemented the technology of lean supply chain to boost up the performance of traffic light and control the traffic jam. The limitations of traditional passing vehicles have been solved by the set of rules. The two set of guidance have been monitored the traffic light system by dynamic system; the vehicle, upstream and downstream lane follows red light and the number of vehicles have passed through a green light. These kinds of vehicles have dynamically controlled the timing of red and green. The dynamic traffic controller and a fixed time controller have shown the differences in performance through the Lean supply chain theory. The researchers have compared and stimulate the data of the performance of their algorithm with the undeveloped one. The results have shown that the algorithm has much better than undeveloped one, because it increases the traffic efficiency and decreases the waiting time by 45 minutes.

Computer vision mainly focuses on the automatic extraction, analysis, and understanding of useful information from a single image or video. On the other hand, authenticity is emerging as one of the primary requirements in today's world by developing a system for computer vision complexity. Generally, two robust techniques such as age estimation and face recognition are required to maintain authenticity. In reality, fraud and scams are getting increased, so here this paper has proposed a new combined model for face recognition and age prediction. Face recognition has been implemented and presented in this paper by using a Deep Neural Network. The authenticity problem can be handled by using either facial recognition or age prediction alone; this study has presented a method that employs both of them together to enhance the system's robustness. So, first, this model detects the person's face, and then it predicts the person's age. If the individual is eligible to view the information or perform a task, their access will be limited; otherwise, their access will be restricted. So it helps to solve two difficulties in this case: the person's identification cannot be faked, and their age is also confirmed by the system. (CNN for the face, and mention technique for the age.)

In the version of this article originally published, the e-mail address of corresponding author Patricia B. Munroe was incorrect. The error has been corrected in the HTML and PDF versions of the article.

Friction stir welding (FSW) is presently a significant process still underway of research owing to its dynamic behavior of the process. The process is still in its developing stage for the reason that every change in tool dimensions can lead to a different result altogether. In this present work, one such attempt to redesign the tool geometry is experimented for joining AA7068-T6. The specimens were fabricated with the experimentation matrix developed, using a central composite design. The input parameters particularly Rotation Speed (RS), Transverse speed (TS), Pin Profile (PP) and Axial Load (AL) of the tool have been considered for experimentation. To enhance the mechanical properties of FSW joints regression equation is developed and Response Surface Methodology (RSM) is used to optimize the process parameters. A total of 30 sets of experimental runs and three confirmatory experiments were conducted for prediction and validation purposes. The experimental results illustrated that to improve the tensile and hardness property of the joint, the optimum values of process parameters should be fixed at 1515 rpm, 57.3 mm/min, 10.4 kN, and the welding to be carried out with a tool straight pentagon. The statistical analysis showed that, as compared with the geometry of the tool profile and TS, the parameters RS and the AL influence the tensile and Hardness of FSW joints. A joint efficiency of 88% was found to be achievable when the right combination of process parameters is applied.

The World is moving so fast, so that impatience is seen in every sector. This has increased entropy in breaking the rules, and thereby increasing the number of accidents. Hence, to control the accidents, each vehicle is provided with a microcontroller 8051. The microcontroller kit is used to continuously monitor the speed of the vehicle and data is logged for every second. The acceleration of the vehicle is calculated continuously. The Signal status and time is transmitted to the vehicle at a certain distance infront of the signal through RF Transmitter. The microcontroller once receiving this data via RF Receiver takes up the current speed and acceleration in the calculation and finds the possible distance which the vehicle can cover with that particular speed and time.This distance is then compared with the *cover distance. Based on the result, the signal is sent to the driver, and a message is displayed in LCD Screen. In the negative case, if the driver doesn’t react for 2 seconds the vehicle is made to stop before the signal, by sending an interrupt. Here, in the positive case, the vehicle functions as such manual drive. If the driver has reacted, then the control remains with the driver. With the control being automated, the fuel supplied to the vehicle is reduced. By this way, the power driving the vehicle is cut. Based on the load in the vehicle, the brakes are applied automatically.The connection with each controller is cut as soon as it crosses the signal. The range of the transmission is set such. By this way, the drivers are made to abide by the rules, and hence the accidents can be prevented in the real world. The work is most successful in the case of electric vehicles, where the speed of the vehicle is reduced just by decreasing the supply to the motor. An intermediate module is used to control the speed by varying the supply.

The mortality prediction of the patient becomes an important and critical prediction problem in the area of artificial intelligence. The aim of machine learning algorithms is to help doctors to make critical decisions here. Mortality prediction can be very helpful for taking critical decisions which can help in optimising the resources available in the hospital and also an extra opinion for doctors and family members in cases of euthanasia i.e. ending life of patient to relieve pain and suffering. We have been collecting data many years from multiple sources such as E-commerce sites, government portals, hospitals and etc., now the same massive data is used as a training data for machine learning models. In this paper we are using different artificial intelligence approaches to predict the survival of a patient based on his or her medical record. In this paper we have presented a comparative study of different AI techniques including artificial neural network and widely used machine learning algorithms such as logistic regression, random forest, and support vector machine by calculating the performance for each algorithm. We observed from performance that the logistic regression perform better, hence we selected regression model for predicting the mortality of the patients.

In today's age of technology and exploding internet penetration, customers are rapidly moving toward continuous connectivity across every facet of their lives. Similarly, business is also changing in response to this digital boom. This chapter analyzes digital tools such as virtual communities, social collaboration, and its impact on the multiple generations in managing connected customers for organizations. The technological tools make it simple for customers to be connected at all times, which has become the major challenge for organizations to formulate strategies and be competent in the market. The major types of virtual communities that can be associated with businesses were discussed in detail. This chapter proposes a model for organization to manage their customers effectively. The above-mentioned digital tools are playing vital role in retaining customers and strategies can be formulated to manage the connected customers successfully. Thus, the chapter analyzed the major areas that are important to the organizations in order to succeed in formulating competitive strategy.

In this study, a novel modified T-shaped transmission line, comprised of a transmission line centre tapped with open stub and parallel open stubs is proposed to reduce the size and suppress the unwanted harmonics of branch line coupler (BLC), to a great extent. The low impedance open-stub limitation of traditional T-shaped unit is rectified by the proposed unit for extended harmonic suppression of BLC. Besides, the 35.35 and 50 Ω quarter wavelength transmission lines of the BLC are reduced to 39.6° and 37.8°, respectively. Lossless transmission line model analysis is used to derive the design equations and graphs. To validate the proposed approach, a prototype operating at 0.9 GHz is fabricated. The proposed BLC size is 74% smaller than the conventional one and exhibits a wide-range harmonic suppression of up to at least eighth harmonic.

In this paper, a 3 dB wideband branch line coupler with reduced size and harmonic suppression is presented. New multiple asymmetric π-shaped, cross and T-shaped transmission line techniques are used to reduce the physical size of the coupler. At the operating frequency of f0 = 0.9 GHz, the fabricated coupler achieves 15 dB return loss bandwidth of 44.4% with a size reduction of 76.3%. The designed coupler has insertion loss better than 3.6 dB with a magnitude balance of 0 ± 1 dB over the frequency band 0.67–1.05 GHz. In addition to compact design, the unwanted harmonics are well suppressed up to 4f0 with a level better than 20 dB by maintaining good agreement between the measured results and theoretical predictions.

This article presents the size-miniaturized, wide-bandwidth, and harmonic-suppressed 10 dB branch line coupler (BLC) using cascaded symmetric PI sections. The complete design equations are derived to obtain the physical parameters of cascaded PI sections. To validate the proposed design, a 10 dB BLC operating at 0.9 GHz is designed, fabricated, and tested. The reported BLC is having dimensions of 0.175 λg × 0.25 λg and is 76.6% smaller than the conventional coupler. The measured results show that the designed coupler fractional bandwidth is >52% and up to 4th harmonic is suppressed with a level better than 20 dB. Good agreement is found between the theoretical predictions and experimental results. © 2016 Wiley Periodicals, Inc. Microwave Opt Technol Lett 58:1610–1613, 2016

This paper presents the design of a wideband three section branch line coupler using three cascaded open complementary split ring resonator structures and open stubs connected between them. The slow wave effect offered by the open complementary split ring resonator is utilized to achieve size reduction. The low impedance lines of the conventional three section branch line coupler are replaced by the proposed structure which is 50–52% less in length. The fabricated prototype gives a bandwidth of 53% and occupies an area of 17.46% of the conventional one.

This paper presents the size miniaturized and harmonic suppressed lossless 1:4 T-junction unequal power divider using an open complementary split ring resonator (OCSRR). By embedding the OCSRR structure in the microstrip transmission line, slow wave effect is introduced and thereby size reduction is achieved. The dimensions of OCSRR are optimized to reduce the length of high impedance and low impedance quarter-wavelength transmission lines. In our design high impedance line length is reduced to 58.6%, and low impedance line length is reduced to 12% when compared to the conventional quarter wavelength lines. The proposed power divider is having small dimensions of 0.18 λg × 0.33 λg and is 51.94% smaller than the conventional unequal power divider.

It is commonly understood that misbehavior intends to upset .Law says ,the repeated intentional misbehavior towards women is an offensive. The main concept of this paper can find something interesting that will make us reflect on what is done by women�s rights and gender equality. To solve such problem, in this paper we are interested to adopt CETD matrix.

In power system studies, congestion in transmission lines and utilization of flexible alternating current transmission system (FACTS) devices are closely associated. These devices are very important due to their role in power delivery system enhancement. It is to be noted that the generation companies can exercise their market power which depends on the line flows, line constraints, generators’ location and its share to the individual loads. This issue cannot be overlooked as it creates monopoliness which is against the deregulated market policy. The objective of this paper is to study the impact of market power when FACTS devices like thyristor controlled switching capacitor (TCSC) and thyristor controlled phase angle regulator (TCPAR) are used under steady state operation. The market power is determined using nodal must-run share (NMRS) index for the standard IEEE 14-bus system with and without the above FACTS devices and the results obtained are compared. All the above simulations are conducted in a MATLAB 7.9-R2009b environment.

The concept of market power has gained its importance after the electric power industry started a process of transition and restructuring since early 1990s or so. In this competitive electricity market, the operational and the physical constraints of the network possess major threat to the market by the generation companies in exercising its market power. This paper presents a comprehensive review on market power with various indices which were used in market power analysis and the evolution of research and development in the field of market power. The literature work presented in this paper has been divided into various sections to facilitate the upcoming researchers who carry out their research in the area of market power under various environments.

Introduction: Endoscopes have markedly improved visualization for sinus surgery, but expanding concepts of FESS have outplaced available operative instrumentation. The surgical techniques are continually improved, but the basic concepts of the newer instruments have changed very little. Methods: The main objective of this study is to study the diagnostic nasal endoscopy and sinonasal grading. A total of 60 cases who are diagnosed to have sinonasal polyposis were included in this study. By using 30 degree Hopkin’s rod endoscope of 1 st , 2 nd and 3 rd pass were done. Middle meatus was examined in all patients and the polyps were graded according to the standard classification. Results: Thirty five males and 25 females were included and maximum number of cases belongs to the age group of 31 to 40 years. Among the grading of polyps, 13, 33 and 14 are supported 1, 2 and 3 polyps respectively. The blood loss during surgery was found maximum as 160ml among 1 case and maximum of 13 cases lost 120ml of blood. Conclusion: An understanding of technical aspects of powered instrumentation has led to optimize the choice of practicing surgeon in endoscopic sinus surgery. The preoperative blood loss was found minimal in this study even for grade III polyposis also.

Introduction: Natural killer cells are believed to promote placental and trophoblastic growth and provide immunemodulation at maternal-fetal interface in pregnancy and their role in reproductive failure has been a matter of discussion. Aim: To study CD56+ Natural killer cells in spontaneous pregnancy loss. Materials and Methods: In this prospective observational study, formalin-fixed paraffin embedded sections from products of conception from twenty women each with spontaneous early pregnancy loss (test group) and elective pregnancy termination (control group). Immunohistochemical staining with CD 56 monoclonal antibody was done by avidin-biotin peroxidase technique. CD56+ cells in decidua were counted under light microscopy by two independent observers in ten high power fields (40X) and mean cell count taken. Student’s paired ‘t’-test was used to statistically compare CD56+ NK cell population between the test and control groups. Results: The mean number of CD56+ NK cells was higher in the decidual tissue of women who had spontaneous early pregnancy loss (mean±SD, 57.55±1.79) as compared to the mean number of CD56+ NK cells in the decidual tissue from women who underwent elective termination (mean±SD, 50.9±3.46). The difference was statistically significant (difference of 6.65 with 95% confidence interval of 4.76 to 8.54, p-value

This paper proposes a sophisticate application of redox flow batteries (RFB) coordinate with Interline Power Flow Controller (IPFC) for the improvement of Load Frequency Control (LFC) of a multiple units two- area power system. The Interline Power Flow Controller is to stabilize the frequency oscillations of the inter-area mode in the interconnected power system by the dynamic control of tie-line power flow. The redox flow batteries, which are not aged to the frequent charging and discharging, have a quick response and outstanding function during overload conditions. In addition to leveling load, the battery is advantageous for secondary control in the power system and maintenance of power quality of distributes power resources. The Bacterial Foraging Optimization (BFO) algorithm is use to optimize the parameters of the cost functions for designing the integral controller. Compliance with North American Electric Reliability Council (NERC) standards for Load Frequency Control has also been establishes in this work. Simulation studies reveal that the RFB coordinate with IPFC units has greater potential for improving the system dynamic performance.

The introduction of porous ultralow-k (ULK) dielectrics into Cu metal interconnect continues to pose major BEP integration difficulties beyond 32 nm. As stated in the2009 ITRS Roadmap, “Etching and ashing processes are among the worst processes for inducing damage to low-k materials, affecting not only defectivity, but also electrical reliability”. To decrease the dielectric constant, the porosity of organosilicate glass (OSG) was varied through the replacement of Si-O with Si-C bonds with plasma-enhanced chemical vapor deposition. This carbon-doping process raises the carbon content in OSG and significantly erodes the inherent robustness as compared to inorganic glass dielectrics. On the other hand, the ULK OSG with higher carbon content make it more like an organic photoresist and easily suffers collateral plasma-induced damages during RIE photoresist stripping. In addition, carbon stripping by plasma processes also makes low-k ILD's more prone to water damage during subsequent wet cleans processes. Consequently, the successful patterning of next-generation ULK/Cu interconnects through various non-damaging etching, ashing and cleaning processes represents an increasingly challenging task to the semiconductor industry Besides the challenge of handling weak porous ULK materials, a lack of sensitive metrology to guide systematic development of plasma etching, restoration and cleaning processes is the major stumbling block. Currently, all known characterization techniques in use lack required “specificity or sensitivity” to be useful as a reliable etching process monitoring tool. For example, XPS and TOFSIMS provide only “elemental composition” changes in ULK ILD as well as polymers generated. However, chemical, bonding and structural information are needed to accurately access the ULK ILD integrity, cross linking densities of etch residues and subsequent cleanability. Alternatively, infrared spectroscopy (IR) provides “bonds fraction” data of the ULK ILD and is very useful in revealing plasmainduced ILD damage. However, transmission IR as well as external ATR-IR lacks the “sensitivity” to be useful in monitoring the progression of etching/cleaning processes, especially for deep sidewalls in the patterned wafers. In this presentation, we report the development of a new monitoring metrology that utilizes Multiple Internal Reflection Infrared Spectroscopy (MIR-IR) as a sensitive characterization tool to guide the development of cleans-friendly plasma etches with minimal ULK ILD damages. Previously, we have successfully utilized MIR-IR to characterize chemical bonding of hydrogen termination, trace organic adsorption and plasma deposited polymer thin film on silicon wafer surface with sub-monolayer sensitivity [1-3]. As shown in Figure 1, MIR-IR is capable of monitoring plasma generated polymer thin film of 18 nm with excellent spectra resolution that give useful chemical bonding information. MIR-IR utilizes the silicon wafer (including patterned ULK wafer) itself as an IR waveguide to enable multiple total internal reflections which greatly enhances IR measuring sensitivity. Therefore, MIR-IR possesses a unique capacity of identifying specific functional groups of deposited thin films (sub 10 nm) and monitoring their corresponding reactivity evolution influenced by plasma process. We anticipate new insights obtained on the chemical, structural and bonding modification across ULK ILD interfaces will facilitate development of plasma etching and post etch cleaning techniques that minimize dielectric damage.

Small bowel malrotation is a congenital disorder of midgut rotation usually encountered in paediatric age group. Here is a case report of small bowel sub-acute obstruction due to midgut volvulus precipitated by malrotation. The incidence of microtonal presentation in adults is 0.2%, making this case a rarity. This patient presented with chronic vague symptoms like dyspepsia, diffuse low-grade abdominal pain, non-projectile vomiting which were on and off for 4 to 5 years since he presented to us. Furthermore because of the remitting nature of his symptoms, these symptoms usually pointed out to a more benign ailment, so unless we do a more elaborate study like computed tomography, we might miss the diagnosis. This case report emphasis the wide range of presenting age for certain congenital disorders like malrotation of gut.

Electric Vehicles (EV) are now a days proposed to serve the electric power grid bi-directionally by means of consuming energy from grid and also by injecting back the captive energy within the EV battery upon grid requirements. Thus EV and its known variants like Battery Electric Vehicles (BEV) and Plug-in Hybrid-Electric Vehicle (PHEV) possess unique rewards compared to the conventional fossil fueled vehicle. The increasing number of EVs integration with electricity network could have a significant knock on the performance and planning of a power system especially in the demand side management. The recent studies made by the National laboratory of U S Department of Energy clearly mentions the risks involved in EV integration in terms of its peak demand profile and spinning reserve profile. The work in this paper investigates the behavior of different types of EVs & its impact on the load profile in a grid connected system in terms of EV capacity, EV charging levels and EV penetration time. The charging profile thus obtained for the above different cases clearly conveys very significant and relevant information regarding its influence on the peak time demand. The peak time period is extended to late hours respective of the different charging conditions which has a definite impact of DSM. Also, an intelligent algorithm is developed to take care of the Demand Side Management (DSM) issues. For the same, the algorithm inputs the grid as well as the vehicle parameters. The uniqueness of the proposed algorithm is in its ability to avoid the communication complexities with the Independent System Operator (ISO) & aggregator. The work is done after studying relevant market models of EVs having different similar or different characteristics.

This paper presents a novel system and method for saving battery life by master mobile station network search. The savings in battery life is achieved by preventing the system from constantly searching for available network(s). The protocol requires a mobile station to constantly search and acquire Public Land Mobile Network, other than Home Public Land Mobile Network. This search consumes battery power. This is attenuated when the mobile station is in roaming and moving. This paper solves this problem by the proposed algorithm wherein a group of mobile stations can work in tandem to share the network information avoiding the need for every mobile station to individually search for Public Land Mobile Network. A proof of concept is developed and power measurements done to highlight the savings in battery with the proposed algorithm.

Introduction: The cutting edge Technology of the 21st generation has proven to relinquish major positive enhancements and has left a huge impact in modern day medicine and health care. The Smartphone is one of the most commonly used devices in communication. It’s rightly known as a “Handy-portal computer” which has made infinite contribution by its multitasked usages besides the specifically designed applications programmed to reach a quick and sound clinical decisions, these devices are also helping in health record maintenance, patient Management, education and training of healthcare professionals. This Journey of enhanced technology coverage with existing wisdom of the field can prove to be a major boon for mankind. Objective: To highlight the enhanced contribution of the Smartphone in today`s modern medicine by demonstrating the potential of technology and its future applications, be it for patient, implementation in healthcare and continuing medical education, for cross consultations, patient satisfaction, and removing communication barriers. Care has been taken to define and evaluate utility of evidence based technological advancements in the healthcare sector. Methodology: In this study, a systematic review of literature was done via Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) for systematic review. Google scholar and MEDLINE were used to identify articles that discussed the utility design, development, evaluation, and utility of smartphone-based software for healthcare workers, professionals, medical or nursing students, or patients. A total of 59 articles discussing 88 applications were selected for this study from 2,934 articles initially obtained from the PubMed, scholar, and Medline searches. Conclusions: The role of this technology in medicine and healthcare is seen to be promising and technologically exciting to use. We have tried to analyze and discussed many smartphone/App-based healthcare applications that are available in the literature. We also had found that most of these applications are grouped as per the target users namely the clinicians, administrators, medical and nursing students. Further as these applications were originally not intended to replace old desktop based applications, but to add to existing pool of technologies for better healthcare. The functional uses of these Apps are growing every day. The enhanced mobile connectivity and communication between health care professionals have contributed to ease and validity of medical care besides monitoring, access to evidence based medicine which includes better diagnosis guides, drug references, literature search, and continuing medical education materials at the point of care. Further as easy access is provided to all authorized personal of records, this has resulted in remote consultation and telemedicine. Further, Apps like Netra performing visual acuity test is also viable using a smartphone. The easy and widespread adoption of these mobile health technologies by the general masses further emphasize the opportunity of better mHealth and mobile telemedicine services through patient oriented applications.

This paper presents the design of a miniaturized 3dB branch line coupler (BLC) for wideband applications. Multiple symmetric PI sections are used in this design to replace the quarter-wavelength transmission lines of the conventional coupler. The design formulas are derived and verified with the simulated and measured results. The circuit area of the proposed BLC is only 20.3% of the conventional one. The fractional bandwidth is greater than 75% at the center frequency of 0.9 GHz.

This paper describes a size miniaturized rat-race coupler using defected microstrip structure called meander spurline and folding technique. By etching a meander spurline on microstrip line, slow wave effect is introduced and size reduction is achieved. The length of the quarter wave transmission line is reduced by 25.76%. The proposed rat race coupler is compact and is 60.17 % smaller than the conventional rat race coupler.

Sub wavelength resonators are widely used for size miniaturization and performance enhancement of microwave devices. In this paper, a sub wavelength resonator called an open complementary split ring resonator (OCSRR) is used to design a bandstop filter. Two open stubs of length λ g /4 and a single OCSRR are employed for the design of bandstop filter. The open stubs are folded in opposite direction to achieve compact structure. The proposed bandstop filter is having a rejection band of 2.25 GHz. When compared to the conventional bandstop filter, the proposed bandstop filter rejection bandwidth is increased by 59.11% and size is reduced by 15%.

In this paper, we present a novel video fingerprinting algorithm which leverages the concept of perceptual similarity between different video sequences. Inspired by the popular structural similarity (SSIM) index, we quantify the perceptual similarity between different video sequences by proposing a perceptual distance metric (PDM) which is utilized in the matching stage of our proposed video fingerprinting algorithm. PDM requires very simple features, viz., block means and therefore has extremely low complexity in both the feature extraction part, as well as during the matching stage. We also show how to use an order statistic in the proposed distance measure to improve the system performance for localized block-based artifacts such as the logo artifact. Simulation results for the proposed fingerprinting algorithm show significant gains over other video fingerprinting techniques on different video datasets for numerous heavy video artifacts.

Our paper presents a novel high dimensional probability density estimation technique using any dimensionality reduction method. Our method first performs subspace reduction using any matrix factorization algorithm and estimates the density in the low-dimensional space using sample-point variable bandwidth kernel density estimation. Subsequently, the high dimensional density is approximated from the low dimensional density parameters. The reconstruction error due to dimensionality reduction process is also modeled in a principled and efficient manner to obtain the high dimensional density estimate. We show the effectiveness of our technique by using two popular dimensionality reduction tools, principal component analysis and non-negative matrix factorization. This technique is applied to AT&T, Yale, Pointing'04 and CMU-PIE face recognition datasets and improved performance compared to other dimensionality reduction and density estimation algorithms is obtained.

The aim of our study is the optimization after restoring and reconfigure the faulted area in a distribution network after locating and isolating the faulted block. Restoration involves changing the switch status to maximize the supply to loads that are left unsupplied after fault removal. After system optimization using reconfiguration, Field Programmable Gate Array (FPGA) is used in order to control the switches by generating the pulses for the stable configuration. In the proposed system restoration and reconfiguration process is achieved in 16 bus system and simultaneously load flow analysis is performed before and after the fault and the same is verified in MATLAB. Optimization using Binary Particle Swarm Optimization (BPSO) is done in order to get the most stable configuration for restoration process by minimizing the LBI (load balancing index).

Application of distributed generation (DG) to supply the demands of a diverse customer base plays a vital role in the renewable energy environment. Various DG technologies are being integrated into power systems to provide alternatives to energy sources and to improve reliability of the system. Power evacuation from these remotely located DG's remains a major concern for the power utilities these days. The main cause of concern regarding evacuation is consumption of reactive power for excitation by induction generators (IG) used in wind power production which affects the power system in variety of ways. This paper deals with the issues related to reactive power consumption by Induction generators during power evacuation. A wind farm is modeled and simulations are carried out for studying the various impacts it has on the grid & nearby wind turbines during system event especially on 3-phase to ground fault.

e19566 Background: Nicotinamide phosphoribosyl transferase (NAMPT) is the enzyme that catalyzes the rate limiting step in the salvage pathway of Nicotinamide Adenine Dinucleotide (NAD) biosynthesis...

The use of Bayesian Strategy in pattern recognition problems involves the estimation of probability density function of each of the categories of patterns. If the functional forms of the density functions are not known, the estimation has to be done nonparametrically. A commonly used nonparametric density estimator makes use of the weighting function technique, developed for the one dimensional case by Parzen and later extended to the multi-dimensional case by Murthy. Several authors (Shanmugam, Koontz and Fukunaga, and Duin) have suggested modified forms of Parzen estimator for a variety of applications. In this paper, we derive a form of Parzen estimator which uses a data dependent smoothing matrix and a Gaussian weighting function. We show that this form of Parzen estimator has some desirable parametric properties. We also establish that the estimator is asymptotically consistent.