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Plants are sensitive to changes projected in climates, such as elevated carbon dioxide (eCO2), high temperature (T), and drought stress (DS), which affect crop growth, development, and yield. These stresses, either alone or in combination, affect all aspects of sweetpotato plant growth and development, including storage root development and yield. We tested three sweetpotato cultivars (Beauregard, Hatteras, and LA1188) responses to eight treatments (Control, DS, T, eCO2, DS + T, T + eCO2, DS + eCO2, DS + T + eCO2). All treatments were imposed 36 days after transplanting (DAP) and continued for 47 days. Treatments substantially affected gas exchange, photosynthetic pigments, growth, and storage root components. Cultivars differed considerably for many of the measured parameters. The most significant negative impact of DS was recorded for the shoot and root weights. The combination of DS + T had a significant negative effect on storage root parameters. eCO2 alleviated some of the damaging effects of DS and high T in sweetpotato. For instance, eCO2 alone or combined with DS increased the storage root weights by 22% or 42% across all three cultivars, respectively. Based on the stress response index, cultivar “Hatteras” was most tolerant to individual and interactive stresses, and “LA 1188” was sensitive. Our findings suggest that eCO2 negates the negative impact of T or DS on the growth and yield of sweetpotato. We identified a set of individual and interactive stress-tolerant traits that can help select stress cultivars or breed new lines for future environments.

This study aims to explain how work stress, work-family conflict, and fatigue affect workers. This study will correlate work fatigue, work stress, and work-family conflict among bank employees. 200 people will be studied. They'll collect study data. "Convenience sampling" was used to sample. Klang Valley was the only factor in selecting this sample. The tests showed that work stress, work-family conflict, and work fatigue have significant p values below 0.05. Work stress, work-family conflict, and fatigue are positive indicators. This study helped us understand how work stress and family conflicts affect individuals and organisations. With the limitations of the study recommendations in the future provided, organisational psychology's growing body of knowledge supports the idea that academics and industry professionals should focus on work-family balance and mental health.

Liquidity Ratio is the most important factor in a plantation company's success. The study examined how Malaysian plantation companies' ROA, ROE, and ROIC are affected by liquidity ratio. Thus, a cause-and-effect analysis is used to determine how the variables current ratio (CR), quick ratio (QR), and cash conversion cycle (CCC) affect return on assets (ROA), return on equity (ROE), and return on capital (ROIC). This study collects data from the Company's Financial Report. A company's financial status can be obtained from its financial reports, which can also be used for research. Company Financial Reports are secondary data. Liquidity ratios with Independent Variables Current Ratio (CR), Quick Ratio (QR), and Cash Conversion Cycle (CCC) are included. The profitability ratio of Return on Assets (ROA), Return on Equity (ROE), and Return on Invested Capital (ROIC) will be the dependent variable. Malaysian plantation companies' profitability is only affected by the quick ratio, according to the findings. This applies only to the quick ratio. The cash conversion cycle negatively impacts return on assets, return on investment capital, and return on investment margin. Despite its small impact, the quick ratio is also said to hurt Malaysian plantation companies' profitability. Discussed are the study's limitations and recommendations for future research.

Plants are sensitive to changes projected in climates, such as elevated carbon dioxide (eCO2), high temperature (T), and drought stress (DS), which affect crop growth, development, and yield. These stresses, either alone or in combination, affect all aspects of sweetpotato plant growth and development, including storage root development and yield. We tested three sweetpotato cultivars (Beauregard, Hatteras, and LA1188) responses to eight treatments (Control, DS, T, eCO2, DS + T, T + eCO2, DS + eCO2, DS + T + eCO2). All treatments were imposed 36 days after transplanting (DAP) and continued for 47 days. Treatments substantially affected gas exchange, photosynthetic pigments, growth, and storage root components. Cultivars differed considerably for many of the measured parameters. The most significant negative impact of DS was recorded for the shoot and root weights. The combination of DS + T had a significant negative effect on storage root parameters. eCO2 alleviated some of the damaging effects of DS and high T in sweetpotato. For instance, eCO2 alone or combined with DS increased the storage root weights by 22% or 42% across all three cultivars, respectively. Based on the stress response index, cultivar “Hatteras” was most tolerant to individual and interactive stresses, and “LA 1188” was sensitive. Our findings suggest that eCO2 negates the negative impact of T or DS on the growth and yield of sweetpotato. We identified a set of individual and interactive stress-tolerant traits that can help select stress cultivars or breed new lines for future environments.

Liquidity Ratio is the most important factor in a plantation company's success. The study examined how Malaysian plantation companies' ROA, ROE, and ROIC are affected by liquidity ratio. Thus, a cause-and-effect analysis is used to determine how the variables current ratio (CR), quick ratio (QR), and cash conversion cycle (CCC) affect return on assets (ROA), return on equity (ROE), and return on capital (ROIC). This study collects data from the Company's Financial Report. A company's financial status can be obtained from its financial reports, which can also be used for research. Company Financial Reports are secondary data. Liquidity ratios with Independent Variables Current Ratio (CR), Quick Ratio (QR), and Cash Conversion Cycle (CCC) are included. The profitability ratio of Return on Assets (ROA), Return on Equity (ROE), and Return on Invested Capital (ROIC) will be the dependent variable. Malaysian plantation companies' profitability is only affected by the quick ratio, according to the findings. This applies only to the quick ratio. The cash conversion cycle negatively impacts return on assets, return on investment capital, and return on investment margin. Despite its small impact, the quick ratio is also said to hurt Malaysian plantation companies' profitability. Discussed are the study's limitations and recommendations for future research.

This study aims to explain how work stress, work-family conflict, and fatigue affect workers. This study will correlate work fatigue, work stress, and work-family conflict among bank employees. 200 people will be studied. They'll collect study data. "Convenience sampling" was used to sample. Klang Valley was the only factor in selecting this sample. The tests showed that work stress, work-family conflict, and work fatigue have significant p values below 0.05. Work stress, work-family conflict, and fatigue are positive indicators. This study helped us understand how work stress and family conflicts affect individuals and organisations. With the limitations of the study recommendations in the future provided, organisational psychology's growing body of knowledge supports the idea that academics and industry professionals should focus on work-family balance and mental health.

Data breaches often affect an organization's reputation and can actually lead to customer churn, loss of revenue, loss of operational continuity, and more. This current study investigated the extent to which Information Security Management System (ISMS) has a positive impact on technology adoption (e-government) of public services in government sector. About 112 data been collected from senior managers, strategists and technicians with management experience) of public services in government department using stratified random sampling. Further data have been analyzed using SPSS and SMART PLS -SEM. Based on results there were, several solutions have been suggested to overcome all the challenges facing the organization with future study suggestion and limitation of the study.

Data breaches often affect an organization's reputation and can actually lead to customer churn, loss of revenue, loss of operational continuity, and more. This current study investigated the extent to which Information Security Management System (ISMS) has a positive impact on technology adoption (e-government) of public services in government sector. About 112 data been collected from senior managers, strategists and technicians with management experience) of public services in government department using stratified random sampling. Further data have been analyzed using SPSS and SMART PLS -SEM. Based on results there were, several solutions have been suggested to overcome all the challenges facing the organization with future study suggestion and limitation of the study.

This study aims to explain how work stress, work-family conflict, and fatigue affect workers. This study will correlate work fatigue, work stress, and work-family conflict among bank employees. 200 people will be studied. They'll collect study data. "Convenience sampling" was used to sample. Klang Valley was the only factor in selecting this sample. The tests showed that work stress, work-family conflict, and work fatigue have significant p values below 0.05. Work stress, work-family conflict, and fatigue are positive indicators. This study helped us understand how work stress and family conflicts affect individuals and organisations. With the limitations of the study recommendations in the future provided, organisational psychology's growing body of knowledge supports the idea that academics and industry professionals should focus on work-family balance and mental health.

Liquidity Ratio is the most important factor in a plantation company's success. The study examined how Malaysian plantation companies' ROA, ROE, and ROIC are affected by liquidity ratio. Thus, a cause-and-effect analysis is used to determine how the variables current ratio (CR), quick ratio (QR), and cash conversion cycle (CCC) affect return on assets (ROA), return on equity (ROE), and return on capital (ROIC). This study collects data from the Company's Financial Report. A company's financial status can be obtained from its financial reports, which can also be used for research. Company Financial Reports are secondary data. Liquidity ratios with Independent Variables Current Ratio (CR), Quick Ratio (QR), and Cash Conversion Cycle (CCC) are included. The profitability ratio of Return on Assets (ROA), Return on Equity (ROE), and Return on Invested Capital (ROIC) will be the dependent variable. Malaysian plantation companies' profitability is only affected by the quick ratio, according to the findings. This applies only to the quick ratio. The cash conversion cycle negatively impacts return on assets, return on investment capital, and return on investment margin. Despite its small impact, the quick ratio is also said to hurt Malaysian plantation companies' profitability. Discussed are the study's limitations and recommendations for future research.

Data breaches often affect an organization's reputation and can actually lead to customer churn, loss of revenue, loss of operational continuity, and more. This current study investigated the extent to which Information Security Management System (ISMS) has a positive impact on technology adoption (e-government) of public services in government sector. About 112 data been collected from senior managers, strategists and technicians with management experience) of public services in government department using stratified random sampling. Further data have been analyzed using SPSS and SMART PLS -SEM. Based on results there were, several solutions have been suggested to overcome all the challenges facing the organization with future study suggestion and limitation of the study.

As changing of time, a large portion of the world is improving them turned out to be more digitalization. In information technology (IT) industry, there have many organizations are contending with one another or they work in various angle. Internet-based life has an immediate impact on an organization's financial record and digital change or change the way of life and conduct at work, HR workers can change the extent of their brains to accomplish more, learn more, and help organisations reduce costs or include esteem. This study examines social media's impact on HRM. The findings show that employees are prepared to face change and innovation according to the development and timing of work demands, and to always perform to expectations. Overall, the study on social media's impact on HRM met its stated objectives and showed a positive level that can be expanded. We've discussed the study's limitations and future research.

As changing of time, a large portion of the world is improving them turned out to be more digitalization. In information technology (IT) industry, there have many organizations are contending with one another or they work in various angle. Internet-based life has an immediate impact on an organization's financial record and digital change or change the way of life and conduct at work, HR workers can change the extent of their brains to accomplish more, learn more, and help organisations reduce costs or include esteem. This study examines social media's impact on HRM. The findings show that employees are prepared to face change and innovation according to the development and timing of work demands, and to always perform to expectations. Overall, the study on social media's impact on HRM met its stated objectives and showed a positive level that can be expanded. We've discussed the study's limitations and future research.

As changing of time, a large portion of the world is improving them turned out to be more digitalization. In information technology (IT) industry, there have many organizations are contending with one another or they work in various angle. Internet-based life has an immediate impact on an organization's financial record and digital change or change the way of life and conduct at work, HR workers can change the extent of their brains to accomplish more, learn more, and help organisations reduce costs or include esteem. This study examines social media's impact on HRM. The findings show that employees are prepared to face change and innovation according to the development and timing of work demands, and to always perform to expectations. Overall, the study on social media's impact on HRM met its stated objectives and showed a positive level that can be expanded. We've discussed the study's limitations and future research.

As changing of time, a large portion of the world is improving them turned out to be more digitalization. In information technology (IT) industry, there have many organizations are contending with one another or they work in various angle. Internet-based life has an immediate impact on an organization's financial record and digital change or change the way of life and conduct at work, HR workers can change the extent of their brains to accomplish more, learn more, and help organisations reduce costs or include esteem. This study examines social media's impact on HRM. The findings show that employees are prepared to face change and innovation according to the development and timing of work demands, and to always perform to expectations. Overall, the study on social media's impact on HRM met its stated objectives and showed a positive level that can be expanded. We've discussed the study's limitations and future research.

As changing of time, a large portion of the world is improving them turned out to be more digitalization. In information technology (IT) industry, there have many organizations are contending with one another or they work in various angle. Internet-based life has an immediate impact on an organization's financial record and digital change or change the way of life and conduct at work, HR workers can change the extent of their brains to accomplish more, learn more, and help organisations reduce costs or include esteem. This study examines social media's impact on HRM. The findings show that employees are prepared to face change and innovation according to the development and timing of work demands, and to always perform to expectations. Overall, the study on social media's impact on HRM met its stated objectives and showed a positive level that can be expanded. We've discussed the study's limitations and future research.

As changing of time, a large portion of the world is improving them turned out to be more digitalization. In information technology (IT) industry, there have many organizations are contending with one another or they work in various angle. Internet-based life has an immediate impact on an organization's financial record and digital change or change the way of life and conduct at work, HR workers can change the extent of their brains to accomplish more, learn more, and help organisations reduce costs or include esteem. This study examines social media's impact on HRM. The findings show that employees are prepared to face change and innovation according to the development and timing of work demands, and to always perform to expectations. Overall, the study on social media's impact on HRM met its stated objectives and showed a positive level that can be expanded. We've discussed the study's limitations and future research.

As changing of time, a large portion of the world is improving them turned out to be more digitalization. In information technology (IT) industry, there have many organizations are contending with one another or they work in various angle. Internet-based life has an immediate impact on an organization's financial record and digital change or change the way of life and conduct at work, HR workers can change the extent of their brains to accomplish more, learn more, and help organisations reduce costs or include esteem. This study examines social media's impact on HRM. The findings show that employees are prepared to face change and innovation according to the development and timing of work demands, and to always perform to expectations. Overall, the study on social media's impact on HRM met its stated objectives and showed a positive level that can be expanded. We've discussed the study's limitations and future research.

As changing of time, a large portion of the world is improving them turned out to be more digitalization. In information technology (IT) industry, there have many organizations are contending with one another or they work in various angle. Internet-based life has an immediate impact on an organization's financial record and digital change or change the way of life and conduct at work, HR workers can change the extent of their brains to accomplish more, learn more, and help organisations reduce costs or include esteem. This study examines social media's impact on HRM. The findings show that employees are prepared to face change and innovation according to the development and timing of work demands, and to always perform to expectations. Overall, the study on social media's impact on HRM met its stated objectives and showed a positive level that can be expanded. We've discussed the study's limitations and future research.

The increasing dynamics in business landscape, such as changing market demands, diminishing product or service lifecycle and technological complexities, makes creating and sustaining competitive advantage a difficult feat for most organisations. The importance of innovation in paving way for business growth has been discussed in many literatures, including governmental reports and industrial white papers. Such an importance stems from the definition of innovation itself which is defined as the use of different resources in a combinative manner to seek differentiation in a competitive market (Dodgson et al., 2006). A similar trait exists in the automotive industry. This study proposed knowledge sharing as a potential mediator for the relationship between organizational factors (organizational climate, structure and leadership) and organizational effectiveness. This study also proposed ICT as a potential moderator for the relationship between organizational factors and knowledge sharing. Major findings of the study are: Most of 359 employees out of 400 forming 89.75 percentage are completed diploma. Employees with diploma qualification are interested to work in automobile industry. They have some awareness about the recent industrial policies which help them most. Majority of 384 employees out of 400 comprising 96 percentage has experience between 6 years to 10 years. Young generation employees have experience of 6 to 10 years. Eight components had extracted for the measuring the determinants of organisational effectiveness in automobile industry with reference to Tamilnadu with the overall influence of 81.59%. It has observed that the Knowledge sharing has the highest level of control based on the eigenvalue is 23.41%, Organizational climate has 19.78% of the variance, stress level has the influence of 10.50%, Organizational structure has 10.42% of control, Organizational leadership has 7.34% of control, Information and communication technology has 4.56% of control

The increasing dynamics in business landscape, such as changing market demands, diminishing product or service lifecycle and technological complexities, makes creating and sustaining competitive advantage a difficult feat for most organisations. The importance of innovation in paving way for business growth has been discussed in many literatures, including governmental reports and industrial white papers. Such an importance stems from the definition of innovation itself which is defined as the use of different resources in a combinative manner to seek differentiation in a competitive market (Dodgson et al., 2006). A similar trait exists in the automotive industry. This study proposed knowledge sharing as a potential mediator for the relationship between organizational factors (organizational climate, structure and leadership) and organizational effectiveness. This study also proposed ICT as a potential moderator for the relationship between organizational factors and knowledge sharing. Major findings of the study are: Most of 359 employees out of 400 forming 89.75 percentage are completed diploma. Employees with diploma qualification are interested to work in automobile industry. They have some awareness about the recent industrial policies which help them most. Majority of 384 employees out of 400 comprising 96 percentage has experience between 6 years to 10 years. Young generation employees have experience of 6 to 10 years. Eight components had extracted for the measuring the determinants of organisational effectiveness in automobile industry with reference to Tamilnadu with the overall influence of 81.59%. It has observed that the Knowledge sharing has the highest level of control based on the eigenvalue is 23.41%, Organizational climate has 19.78% of the variance, stress level has the influence of 10.50%, Organizational structure has 10.42% of control, Organizational leadership has 7.34% of control, Information and communication technology has 4.56% of control

The objective of this paper is to identify the intruder of the wireless local area network based on the network and transport layer while accessing the internet within organizations and industries. The Intrusion detection system is the security that attempts to identify anomalies attributes who are trying to misuse a network without authorization and those who have legitimate access to the system but are abusing their privileges. The fact of the existing system deals with a firewall to protect and detect the unauthorized person using Wireless Local Area Network. Since the administrator may block or unblock the intruder based on the priority. This paper presents an enhanced framework, to detect and monitor the anomalies in the wireless sensor networks in an organization or an institution. The proposed approach to detect and filter the intruder in the wireless local area networks. Hence optimize the intrusion detection system in the particular organization or industries. The proposed IDS results are compared with the existing Decision Tree, Naive Bayes, and Random Forest algorithms.

The objective of this paper is to identify the intruder of the wireless local area network based on the network and transport layer while accessing the internet within organizations and industries. The Intrusion detection system is the security that attempts to identify anomalies attributes who are trying to misuse a network without authorization and those who have legitimate access to the system but are abusing their privileges. The fact of the existing system deals with a firewall to protect and detect the unauthorized person using Wireless Local Area Network. Since the administrator may block or unblock the intruder based on the priority. This paper presents an enhanced framework, to detect and monitor the anomalies in the wireless sensor networks in an organization or an institution. The proposed approach to detect and filter the intruder in the wireless local area networks. Hence optimize the intrusion detection system in the particular organization or industries. The proposed IDS results are compared with the existing Decision Tree, Naive Bayes, and Random Forest algorithms.

Let G be a graph with the vertex set V(G). A subset S of V(G) is an open packing set of G if every pair of vertices in S has no common neighbor in G. The maximum cardinality of an open packing set of G is the open packing number of G and it is denoted by ρo(G). In this paper, the exact values of the open packing numbers for some classes of perfect graphs, such as split graphs, {P4,C4}-free graphs, the complement of a bipartite graph, the trestled graph of a perfect graph are obtained.

This paper describes an experimental study on the effect of Ultra-Violet (UV) exposure on the electrochemical corrosion behavior of 304L stainless steel in 0.1M H2SO4 and 0.5M NaCl medium. The results of study demonstrate that in NaCl medium, exposure of both UV-A and UV-C shifts the Open Circuit Potential (OCP) in active direction (less noble) as compared to the specimen without UV exposure which indicates less stable passive film. While in sulphuric acid both UV-A and UV-C shifts OCP in noble direction which reflects the stability nature of passive film. In H2SO4 medium, exposure of both UV-A and UV-C assist in improving passivity which is indicated by lower passive current density. In NaCl medium, exposure of both UV-A and UV-C, decrease the pitting corrosion resistance as indicated by lower Epit (pitting potential) and higher Icorr (corrosion current density). In H2SO4 uniform dissolution was observed after each polarization experiment as shown in optical micrographs. In NaCl medium pitting sites are more under both type UV exposures as revealed by microstructure after polarization experiment. EIS (Nyquist plots) showed that exposure of both UV-A and UV-C in NaCl medium specimens have lower polarization resistance (Rp) than without UV exposure. Lower Rp confirms lesser protectiveness of passive film. In case of H2SO4, higher arc radius (Rp) is observed under UV exposure for both UV-A and UV-C.

This paper describes an experimental study on the effect of Ultra-Violet (UV) exposure on the electrochemical corrosion behavior of 304L stainless steel in 0.1M H2SO4 and 0.5M NaCl medium. The results of study demonstrate that in NaCl medium, exposure of both UV-A and UV-C shifts the Open Circuit Potential (OCP) in active direction (less noble) as compared to the specimen without UV exposure which indicates less stable passive film. While in sulphuric acid both UV-A and UV-C shifts OCP in noble direction which reflects the stability nature of passive film. In H2SO4 medium, exposure of both UV-A and UV-C assist in improving passivity which is indicated by lower passive current density. In NaCl medium, exposure of both UV-A and UV-C, decrease the pitting corrosion resistance as indicated by lower Epit (pitting potential) and higher Icorr (corrosion current density). In H2SO4 uniform dissolution was observed after each polarization experiment as shown in optical micrographs. In NaCl medium pitting sites are more under both type UV exposures as revealed by microstructure after polarization experiment. EIS (Nyquist plots) showed that exposure of both UV-A and UV-C in NaCl medium specimens have lower polarization resistance (Rp) than without UV exposure. Lower Rp confirms lesser protectiveness of passive film. In case of H2SO4, higher arc radius (Rp) is observed under UV exposure for both UV-A and UV-C.

As of late an AI based free programming device has made it simple to make authentic face swaps in recordings that leaves barely any hints of control, in what are known as "deepfake" recordings. Situations where these genuine istic counterfeit recordings are utilized to make political pain, extort somebody or phony fear based oppression occasions are effectively imagined. This paper proposes a transient mindful pipeline to automat-ically recognize deepfake recordings. Our framework utilizes a convolutional neural system (CNN) to remove outline level highlights. These highlights are then used to prepare a repetitive neural net-work (RNN) that figures out how to characterize if a video has been sub-ject to control or not. We assess our technique against a huge arrangement of deepfake recordings gathered from different video sites. We show how our framework can accomplish aggressive outcomes in this assignment while utilizing a basic design., Comment: This submission has been removed by arXiv administrators due to copyright infringement

Deeplearning has been used to solve complex problems in various domains. As it advances, it also creates applications which become a major threat to our privacy, security and even to our Democracy. Such an application which is being developed recently is the "Deepfake". Deepfake models can create fake images and videos that humans cannot differentiate them from the genuine ones. Therefore, the counter application to automatically detect and analyze the digital visual media is necessary in today world. This paper details retraining the image classification models to apprehend the features from each deepfake video frames. After feeding different sets of deepfake clips of video fringes through a pretrained layer of bottleneck in the neural network is made for every video frame, already stated layer contains condense data for all images and exposes artificial manipulations in Deepfake videos. When checking Deepfake videos, this technique received more than 87 per cent accuracy. This technique has been tested on the Face Forensics dataset and obtained good accuracy in detection., Comment: This submission has been removed by arXiv administrators due to copyright infringement

In this work, we propose advanced pneumonia and Tuberculosis grading system for X-ray images. The proposed system is a very deep fully convolutional classification network with online augmentation that outputs confidence values for diseases prevalence. Its a fully automated system capable of disease feature understanding without any offline preprocessing step or manual feature extraction. We have achieved state- of-the- art performance on the public databases such as ChestXray-14, Mendeley, Shenzhen Hospital X-ray and Belarus X-ray set.

Many methods are in use for undertaking comprehensive testing of standalone embedded systems. Many intricate aspects which include throughput, response time, signal patterns, are be tested to ensure that the embedded have been functioning properly. Distributed embedded systems are being used quite frequently these days for many purposes commencing from Automation of automobiles to Home appliances to home security systems. Some of the Distributed systems are being used for monitoring and controlling safety critical and mission critical systems. The mission and safety critical systems require thorough testing. Many additional aspects are to be considered for testing a distributed embedded system which include testing message flow, arbitration, synchronization Heterogeneity of distributed system, portability etc. This paper presents a Modified Scaffolding method for undertaking testing of a distributed embedded system which is built using many heterogeneous microcontroller based systems. The method has been used for testing a pilot distributed embedded system and the results obtained by undertaking the testing have shown that the bugs existing in the development of embedded system have been thoroughly exposed..

Many distributed embedded systems are being used for implementing different kinds of applications. The trend in embedded systems design in recent years has been towards highly distributed architectures with support for concurrency, data and control flow and scalable distributed computations. Many methods have been proposed in the past for Testing a standalone embedded system and not many methods have been proposed for testing distributed embedded systems Methods such as scaffolding, assert macros, in-circuit emulators, monitors, logic analyzers are used in addition to third party tools for undertaking the testing of standalone systems. However using of the same for testing a distributed embedded system is complicated. In the case of distributed embedded systems, a test case must be tested considering the related processes which are distributed across several embedded systems that are connected within the same network. Some testing has also to be carried for proper messaging /communication taking place between the embedded systems that get connected to the network. Messaging as such is dependent on the type of networking such as I2C, CAN and RS485 is used for establishing the distributed embedded system It is not possible to undertake testing when any part of the network fails during testing. In this paper a method has been proposed for testing distributed embedded system that gets connected through RS485 based communication system through use of in-circuit-emulators that are capable of isolating the processes related to the test cases that must be tested to ensure that the distributed embedded system has been functioning as per the design.

Many distributed embedded systems are being used for implementing different kinds of applications. The trend in embedded systems design in recent years has been towards highly distributed architectures with support for concurrency, data and control flow and scalable distributed computations. Many methods have been proposed in the past for Testing a standalone embedded system and not many methods have been proposed for testing distributed embedded systems Methods such as scaffolding, assert macros, in-circuit emulators, monitors, logic analyzers are used in addition to third party tools for undertaking the testing of standalone systems. However using of the same for testing a distributed embedded system is complicated. In the case of distributed embedded systems, a test case must be tested considering the related processes which are distributed across several embedded systems that are connected within the same network. Some testing has also to be carried for proper messaging /communication taking place between the embedded systems that get connected to the network. Messaging as such is dependent on the type of networking such as I2C, CAN and RS485 is used for establishing the distributed embedded system It is not possible to undertake testing when any part of the network fails during testing. In this paper a method has been proposed for testing distributed embedded system that gets connected through RS485 based communication system through use of in-circuit-emulators that are capable of isolating the processes related to the test cases that must be tested to ensure that the distributed embedded system has been functioning as per the design.

Many methods are in use for undertaking comprehensive testing of standalone embedded systems. Many intricate aspects which include throughput, response time, signal patterns, are be tested to ensure that the embedded have been functioning properly. Distributed embedded systems are being used quite frequently these days for many purposes commencing from Automation of automobiles to Home appliances to home security systems. Some of the Distributed systems are being used for monitoring and controlling safety critical and mission critical systems. The mission and safety critical systems require thorough testing. Many additional aspects are to be considered for testing a distributed embedded system which include testing message flow, arbitration, synchronization Heterogeneity of distributed system, portability etc. This paper presents a Modified Scaffolding method for undertaking testing of a distributed embedded system which is built using many heterogeneous microcontroller based systems. The method has been used for testing a pilot distributed embedded system and the results obtained by undertaking the testing have shown that the bugs existing in the development of embedded system have been thoroughly exposed..

The rising increase of up to date urban and national road networks over the last three decades become known the need of capable monitoring and management of road traffic. Expected techniques for traffic measurements, such as inductive loops, sensors or EM microwave detectors, endure from sober shortcomings, luxurious to install, they demand traffic distraction during installation or maintenance, they are massive and they are unable to notice slow or momentary stop vehicles. On the divergent, systems that are based on video are simple to install, use the existing infrastructure of traffic observation. Currently most reliable method is through the detection of number plates, i.e., automatic number plate recognition (ANPR), which is also branded as automatic license plate recognition (ALPR), or radio frequency transponders. The first revalent step of information is finding of moving objects in video streams and background subtraction is a very accepted approach for foreground segmentation. Next step is License plate extraction which is an essential stage in license plate recognition for automatic transport system. We are planned for two ways for removal of license plates and comparing it with other existing methods. The Extracted license plates are segmented into particular characters by means of a region-based manner. The recognition scheme unites adaptive iterative thresholding with a template matching algorithm. The method is strong to illumination, character size and thickness, skew and small character breaks. The main reward of this system is its real-time capability and that it does not require any extra sensor input (e.g. from infrared sensors) except a video stream. This system is judged on a huge number of vehicle images and videos. The system is also computationally extremely efficient and it is appropriate for others related image recognition applications. This system has broad choice of applications such as access control, ringing, border patrol, traffic co

The rising increase of up to date urban and national road networks over the last three decades become known the need of capable monitoring and management of road traffic. Expected techniques for traffic measurements, such as inductive loops, sensors or EM microwave detectors, endure from sober shortcomings, luxurious to install, they demand traffic distraction during installation or maintenance, they are massive and they are unable to notice slow or momentary stop vehicles. On the divergent, systems that are based on video are simple to install, use the existing infrastructure of traffic observation. Currently most reliable method is through the detection of number plates, i.e., automatic number plate recognition (ANPR), which is also branded as automatic license plate recognition (ALPR), or radio frequency transponders. The first revalent step of information is finding of moving objects in video streams and background subtraction is a very accepted approach for foreground segmentation. Next step is License plate extraction which is an essential stage in license plate recognition for automatic transport system. We are planned for two ways for removal of license plates and comparing it with other existing methods. The Extracted license plates are segmented into particular characters by means of a region-based manner. The recognition scheme unites adaptive iterative thresholding with a template matching algorithm. The method is strong to illumination, character size and thickness, skew and small character breaks. The main reward of this system is its real-time capability and that it does not require any extra sensor input (e.g. from infrared sensors) except a video stream. This system is judged on a huge number of vehicle images and videos. The system is also computationally extremely efficient and it is appropriate for others related image recognition applications. This system has broad choice of applications such as access control, ringing, border patrol, traffic co

The arrangement of things in n-dimensional space is specified as Spatial. Spatial data consists of values that denote the location and shape of objects and areas on the earths surface. Spatial information includes facts such as location of features, the relationship of geographic features and measurements of geographic features. The spatial cognition is a primal area of study in various other fields such as Robotics, Psychology, Geosciences, Geography, Political Sciences, Geographic Economy, Environmental, Mining and Petroleum Engineering, Natural Resources, Epidemiology, Demography etc., Any text document which contains physical location specifications such as place names, geographic coordinates, landmarks, country names etc., are supposed to contain the spatial information. The spatial information may also be represented using vague or fuzzy descriptions involving linguistic terms such as near to, far from, to the east of, very close. Given a query involving events, the aim of this ongoing research work is to extract the relevant information from multiple text documents, resolve the uncertainty and vagueness and translate them in to locations in a map. The input to the system would be a text Corpus and a Spatial Query event. The output of the system is a map showing the most possible, disambiguated location of the event queried. The author proposes Fuzzy Logic Techniques for resolving the uncertainty in the spatial expressions., Comment: National Conference on Future Computing,0975 8887,IJCA,February2013

Information extraction identifies useful and relevant text in a document and converts unstructured text into a form that can be loaded into a database table. Named entity extraction is a main task in the process of information extraction and is a classification problem in which words are assigned to one or more semantic classes or to a default non-entity class. A word which can belong to one or more classes and which has a level of uncertainty in it can be best handled by a self learning Fuzzy Logic Technique. This paper proposes a method for detecting the presence of spatial uncertainty in the text and dealing with spatial ambiguity using named entity extraction techniques coupled with self learning fuzzy logic techniques, Comment: National Conference on Recent Trends in Data Mining and Distributed Systems September 2011

This paper presents the design of Discrete Frequency Coded (DFC) sequences with good auto correlation properties using Particle Swarm Optimization with Cauchy Mutation (PSOCM) technique. The crossambiguity function method is used to detect the stationary and moving targets in various target detection scenarios. The contour plots of the cross-ambiguity function are computed as a function of delay and Doppler frequency shift. The results are compared with DFC sequences of the sequence lengths N = 32 and N = 100.

This paper presents the design of Discrete Frequency Coded (DFC) sequences with good auto correlation properties using Particle Swarm Optimization with Cauchy Mutation (PSOCM) technique. The crossambiguity function method is used to detect the stationary and moving targets in various target detection scenarios. The contour plots of the cross-ambiguity function are computed as a function of delay and Doppler frequency shift. The results are compared with DFC sequences of the sequence lengths N = 32 and N = 100.

This paper presents the design of Discrete Frequency Coded (DFC) sequences with good auto correlation properties using Particle Swarm Optimization with Cauchy Mutation (PSOCM) technique. The crossambiguity function method is used to detect the stationary and moving targets in various target detection scenarios. The contour plots of the cross-ambiguity function are computed as a function of delay and Doppler frequency shift. The results are compared with DFC sequences of the sequence lengths N = 32 and N = 100.

In this paper method available for generating ternary sequences is discussed. These sequences are useful in many applications but specifically in synchronization of block codes and pulse compression in radar. The ternary sequences are derived from chaotic maps. It is feasible to achieve simultaneously superior performances in detection range and range resolution using the proposed ternary sequences. The properties of these sequences like autocorrelation function, Peak Side Lobe Ratio (PSLR), ambiguity diagram and performance under AWGN noise background has been studied. The generation of these sequences is much simpler, and the available number of sequences is virtually infinite and not limited by the length of the sequence.

In this paper method available for generating ternary sequences is discussed. These sequences are useful in many applications but specifically in synchronization of block codes and pulse compression in radar. The ternary sequences are derived from chaotic maps. It is feasible to achieve simultaneously superior performances in detection range and range resolution using the proposed ternary sequences. The properties of these sequences like autocorrelation function, Peak Side Lobe Ratio (PSLR), ambiguity diagram and performance under AWGN noise background has been studied. The generation of these sequences is much simpler, and the available number of sequences is virtually infinite and not limited by the length of the sequence.

In this paper method available for generating ternary sequences is discussed. These sequences are useful in many applications but specifically in synchronization of block codes and pulse compression in radar. The ternary sequences are derived from chaotic maps. It is feasible to achieve simultaneously superior performances in detection range and range resolution using the proposed ternary sequences. The properties of these sequences like autocorrelation function, Peak Side Lobe Ratio (PSLR), ambiguity diagram and performance under AWGN noise background has been studied. The generation of these sequences is much simpler, and the available number of sequences is virtually infinite and not limited by the length of the sequence.

The problem of scheduling activities dynamic for a project, within the available resources and adhering to precedence relationships is NP hard combinatorial. Traditional approaches and their extensions are limited in application for simultaneous scheduling of resources with leveling. Considering the need for improved modeling and scheduling techniques, this paper proposes the use of Petrinet based approach aided by memetic algorithm. Manufacturing projects involving either a single or multi resources can be optimally leveled and scheduled. The effectiveness of this approach is demonstrated with case studies.