With increasing interest in health, many people are exercising to lose weight, prevent disease, and improve cardiorespiratory function. For effective exercise, users should proceed with appropriate intensity depending on their physical strength. The system implemented in this paper classifies exercise intensity according to PPG signal using CNN training model for objective exercise intensity classification. The PPG signal was measured after exercise through the PPG sensor, and the training data set was constructed that based on the interval between P-peaks. The training data set is trained on the CNN model to classify the three exercise intensity according to the PPG signal. In order to analyze the accuracy of the implemented CNN training model, the performance evaluation of the classification evaluation metrics and the exercise intensity classification monitoring system was performed. First, the performance evaluation of the CNN model for classifying exercise intensity was conducted. In the performance evaluation, the classification evaluation metrics was calculated according to the training result, the recall rate representing the percentage of successful prediction among the actual correct answers, the precision representing the actual correct answer rate among the predicted data, and the F 1 score representing the harmonic average of recall and precision were confirmed. As a result of CNN training model classification evaluation metrics, it was the accuracy was 99.3%, the recall rate was 99.9%, the precision was 99.8%, and the F 1 score was 99.4%. Second, to evaluate the performance of the exercise intensity classification monitoring system, jump rope experiment was conducted with 5 subjects. The experiment measured PPG at the end of each set after low, moderate, and high intensity jump rope. The classification accuracy was analyzed by entering the measured PPG data into the CNN model 50 times each. As a result of the experiment, the accuracy of low intensity was 98%, moderate intensity was 93.6%, and high intensity was 97.6%, confirming a total accuracy of 96.4%. Some errors are thought to have occurred due to the fact that the data located at the boundary line between the exercise intensity was classified incorrectly. In future studies, we would like to conduct a study of exercise intensity monitoring system that can be applied to various exercises by measuring acceleration signals for each exercise together.
{"title":"Implementation of Photoplethysmography Measurement System Based on Convolution Neural Network for Personalized Exercise Intensity","authors":"Ji-Su Lee, Ji-Yun Seo, Yun-Hong Noh, Do-Un Jeong","doi":"10.1166/jctn.2021.9591","DOIUrl":"https://doi.org/10.1166/jctn.2021.9591","url":null,"abstract":"With increasing interest in health, many people are exercising to lose weight, prevent disease, and improve cardiorespiratory function. For effective exercise, users should proceed with appropriate intensity depending on their physical strength. The system implemented in this paper\u0000 classifies exercise intensity according to PPG signal using CNN training model for objective exercise intensity classification. The PPG signal was measured after exercise through the PPG sensor, and the training data set was constructed that based on the interval between P-peaks. The\u0000 training data set is trained on the CNN model to classify the three exercise intensity according to the PPG signal. In order to analyze the accuracy of the implemented CNN training model, the performance evaluation of the classification evaluation metrics and the exercise intensity classification\u0000 monitoring system was performed. First, the performance evaluation of the CNN model for classifying exercise intensity was conducted. In the performance evaluation, the classification evaluation metrics was calculated according to the training result, the recall rate representing the percentage\u0000 of successful prediction among the actual correct answers, the precision representing the actual correct answer rate among the predicted data, and the F 1 score representing the harmonic average of recall and precision were confirmed. As a result of CNN training model classification\u0000 evaluation metrics, it was the accuracy was 99.3%, the recall rate was 99.9%, the precision was 99.8%, and the F 1 score was 99.4%. Second, to evaluate the performance of the exercise intensity classification monitoring system, jump rope experiment was conducted with 5 subjects. The\u0000 experiment measured PPG at the end of each set after low, moderate, and high intensity jump rope. The classification accuracy was analyzed by entering the measured PPG data into the CNN model 50 times each. As a result of the experiment, the accuracy of low intensity was 98%, moderate intensity\u0000 was 93.6%, and high intensity was 97.6%, confirming a total accuracy of 96.4%. Some errors are thought to have occurred due to the fact that the data located at the boundary line between the exercise intensity was classified incorrectly. In future studies, we would like to conduct a study\u0000 of exercise intensity monitoring system that can be applied to various exercises by measuring acceleration signals for each exercise together.","PeriodicalId":15416,"journal":{"name":"Journal of Computational and Theoretical Nanoscience","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46966799","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Since the visible light communication (VLC) has to perform the functions of communication and illumination at the same time, a method for communication as well as lighting is needed. In this paper, when text data is transmitted through visible light communication, the level of illumination dimming according to the frequency of occurrence of alphabets in sentences is analyzed, and a method of improving the dimming level and Bit Error Rate (BER) performance through error correction codes generated during data transmission is studied. Visible light communication systems must perform both communication and lighting functions, so not only communication but also a method for the lighting role is needed. When transferring data (transfer text), the frequency of occurrence of alphabets in sentences is different. Depending on the frequency of occurrence of these alphabetic characters, if there are many ‘0’s in the code to be transmitted, the dimming level will be lowered and flicker will occur. Also, when a 1-bit error occurs, the alphabet code itself is changed. To solve this problem, an error correction code using parity bits has been added. Through this, it was confirmed that the overall dimming level and Bit Error Rate (BER) performance were improved. Also, in visible light communication, the function of lighting is closely related to the performance of the overall system. As we have seen above, when there is a continuous zero period, the function of the lighting is severely degraded. This reduces the performance of the entire system, not just the lighting. Therefore, the dimming level and BER performance were improved by improving the performance through the algorithm and error correction code to improve the overall dimming level.
{"title":"Dimming Level Improvement Method Through Simple Mapping Error Correction Code in Visible Light Communication","authors":"Doohee Han, Kyujin Lee","doi":"10.1166/jctn.2021.9610","DOIUrl":"https://doi.org/10.1166/jctn.2021.9610","url":null,"abstract":"Since the visible light communication (VLC) has to perform the functions of communication and illumination at the same time, a method for communication as well as lighting is needed. In this paper, when text data is transmitted through visible light communication, the level of illumination\u0000 dimming according to the frequency of occurrence of alphabets in sentences is analyzed, and a method of improving the dimming level and Bit Error Rate (BER) performance through error correction codes generated during data transmission is studied. Visible light communication systems must perform\u0000 both communication and lighting functions, so not only communication but also a method for the lighting role is needed. When transferring data (transfer text), the frequency of occurrence of alphabets in sentences is different. Depending on the frequency of occurrence of these alphabetic characters,\u0000 if there are many ‘0’s in the code to be transmitted, the dimming level will be lowered and flicker will occur. Also, when a 1-bit error occurs, the alphabet code itself is changed. To solve this problem, an error correction code using parity bits has been added. Through this,\u0000 it was confirmed that the overall dimming level and Bit Error Rate (BER) performance were improved. Also, in visible light communication, the function of lighting is closely related to the performance of the overall system. As we have seen above, when there is a continuous zero period, the\u0000 function of the lighting is severely degraded. This reduces the performance of the entire system, not just the lighting. Therefore, the dimming level and BER performance were improved by improving the performance through the algorithm and error correction code to improve the overall dimming\u0000 level.","PeriodicalId":15416,"journal":{"name":"Journal of Computational and Theoretical Nanoscience","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48329719","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this paper, we proposed improved single image super resolution using multiple re-evaluation Process model for use in various image processing fields. The proposed method generates the first super resolution using the input image, and analyzes the change for each region by comparing the features of previous image and super resolution result. According to the analyzed features, the feature map for generate n-th super resolution was selected for improved detail. After then, next generate super resolution using previous super resolution result as input image. This process is repeated for final result. The existing single image super resolution method has two areas to be improved. First, it minimizes artifacts or staircases, which are unnecessary details that can be created during the super resolution process. Second, it is necessary to consider the input image because it affects the result depending on the quality of input image used in the super resolution process. Therefore, in order to minimize unnecessary details, the proposed method analyzed the feature map from the generated super resolution result and applied it according to the amount of change. In addition, aimed to gradually improve the input image to be used in the super resolution process by using the super resolution generated in the previous step. By comparing and evaluating the proposed method with the conventional single image super resolution method with PSNR and SSIM, it is improved by about 3%.
{"title":"Single Image Super Resolution Using Multiple Re-Evaluation Process","authors":"Hyun-Ho Han, Sang Hun Lee","doi":"10.1166/jctn.2021.9607","DOIUrl":"https://doi.org/10.1166/jctn.2021.9607","url":null,"abstract":"In this paper, we proposed improved single image super resolution using multiple re-evaluation Process model for use in various image processing fields. The proposed method generates the first super resolution using the input image, and analyzes the change for each region by comparing\u0000 the features of previous image and super resolution result. According to the analyzed features, the feature map for generate n-th super resolution was selected for improved detail. After then, next generate super resolution using previous super resolution result as input image. This\u0000 process is repeated for final result. The existing single image super resolution method has two areas to be improved. First, it minimizes artifacts or staircases, which are unnecessary details that can be created during the super resolution process. Second, it is necessary to consider the\u0000 input image because it affects the result depending on the quality of input image used in the super resolution process. Therefore, in order to minimize unnecessary details, the proposed method analyzed the feature map from the generated super resolution result and applied it according to the\u0000 amount of change. In addition, aimed to gradually improve the input image to be used in the super resolution process by using the super resolution generated in the previous step. By comparing and evaluating the proposed method with the conventional single image super resolution method with\u0000 PSNR and SSIM, it is improved by about 3%.","PeriodicalId":15416,"journal":{"name":"Journal of Computational and Theoretical Nanoscience","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46040222","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
With the spread of smartphones, it has become common to always listen to music like background music, so it is necessary to create a music database that meets individual needs. By creating a music database using data from social media, music is classified in a different way from collaborative filtering, which is mainly used by existing music source providing platforms. Various other hashtags attached to posts with music titles used as hashtags are collected using web crawling, and music is classified based on the collected hashtags to reflect actual listeners’ opinions on music. It uses crawling to find posts on social media with music titles tagged as hashtags, then collects other hashtags attached to those posts. Hashtags collected by performing the same task with multiple music titles are collected, analyzed, and statistics are then classified to determine when and where the music fits. On social media, the feelings of the person who posted the post and the conditions such as the time zone, place, weather, and situation where the post was posted are reflected as hashtags. By analyzing the hashtags attached to the music title, it is possible to build a social media-based music database in which the opinions of various people are reflected as collective intelligence. It is possible to derive different results from existing collaborative filtering based on the past listening records of users of the platform used by most of the sound source providing platforms. Even if music titles are not written in complete form on social media hashtags, we plan to research them so that they can be used to build a database.
{"title":"Proposal of Classified Music Recommendation Model Based on Social Media","authors":"Kyoung-Rock Chung, Koo-Rack Park, Young-Suk Chung","doi":"10.1166/jctn.2021.9576","DOIUrl":"https://doi.org/10.1166/jctn.2021.9576","url":null,"abstract":"With the spread of smartphones, it has become common to always listen to music like background music, so it is necessary to create a music database that meets individual needs. By creating a music database using data from social media, music is classified in a different way from collaborative\u0000 filtering, which is mainly used by existing music source providing platforms. Various other hashtags attached to posts with music titles used as hashtags are collected using web crawling, and music is classified based on the collected hashtags to reflect actual listeners’ opinions on\u0000 music. It uses crawling to find posts on social media with music titles tagged as hashtags, then collects other hashtags attached to those posts. Hashtags collected by performing the same task with multiple music titles are collected, analyzed, and statistics are then classified to determine\u0000 when and where the music fits. On social media, the feelings of the person who posted the post and the conditions such as the time zone, place, weather, and situation where the post was posted are reflected as hashtags. By analyzing the hashtags attached to the music title, it is possible\u0000 to build a social media-based music database in which the opinions of various people are reflected as collective intelligence. It is possible to derive different results from existing collaborative filtering based on the past listening records of users of the platform used by most of the sound\u0000 source providing platforms. Even if music titles are not written in complete form on social media hashtags, we plan to research them so that they can be used to build a database.","PeriodicalId":15416,"journal":{"name":"Journal of Computational and Theoretical Nanoscience","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45221941","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Minhoon Lee, Ho-Kyoung Kim, Mikyeong Moon, Seung-Min Park
Computer vision is an artificial intelligence technology that studies techniques for extracting information from images. Several studies have been performed to identify and edit music scores using computer vision. This study proposes a system to identify musical notes and print arranged music. Music is produced by general rules; consequently, the components of music have specific patterns. There are four approaches in pattern recognition that can be used classify images using patterns. Our proposed method of identifying music sheets is as follows. Several pretreatment processes (image binary, noise and staff elimination, image resizing) are performed to aid the identification. The components of the music sheet are identified by statistical pattern recognition. Applying an artificial intelligence model (Markov chain) to extracted music data aids in arranging the data. From applying the pattern recognition technique, a recognition rate of 100% was shown for music sheets of low complexity. The components included in the recognition rate are signs, notes, and beats. However, there was a low recognition rate for some music sheet and can be addressed by adding a classification to the navigation process. To increase the recognition rate of the music sheet with intermediate complexity, it is necessary to refine the pre-processing process and pattern recognition algorithm. We will also apply neural network-based models to the arrangement process.
{"title":"Computer-Vision-Based Advanced Optical Music Recognition System","authors":"Minhoon Lee, Ho-Kyoung Kim, Mikyeong Moon, Seung-Min Park","doi":"10.1166/jctn.2021.9626","DOIUrl":"https://doi.org/10.1166/jctn.2021.9626","url":null,"abstract":"Computer vision is an artificial intelligence technology that studies techniques for extracting information from images. Several studies have been performed to identify and edit music scores using computer vision. This study proposes a system to identify musical notes and print arranged\u0000 music. Music is produced by general rules; consequently, the components of music have specific patterns. There are four approaches in pattern recognition that can be used classify images using patterns. Our proposed method of identifying music sheets is as follows. Several pretreatment processes\u0000 (image binary, noise and staff elimination, image resizing) are performed to aid the identification. The components of the music sheet are identified by statistical pattern recognition. Applying an artificial intelligence model (Markov chain) to extracted music data aids in arranging the data.\u0000 From applying the pattern recognition technique, a recognition rate of 100% was shown for music sheets of low complexity. The components included in the recognition rate are signs, notes, and beats. However, there was a low recognition rate for some music sheet and can be addressed by adding\u0000 a classification to the navigation process. To increase the recognition rate of the music sheet with intermediate complexity, it is necessary to refine the pre-processing process and pattern recognition algorithm. We will also apply neural network-based models to the arrangement process.","PeriodicalId":15416,"journal":{"name":"Journal of Computational and Theoretical Nanoscience","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48127876","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The purpose of this study is to suggest a multi-dimensional model that evaluates services in web stores using data mining, text mining and surveys. Unlike other service evaluation model, this study suggests a 4 dimensional approach in evaluating web services. It uses reciprocal evaluation methods on a web service by both services providers and service users. It identifies the cognitive differences on web services between these two groups. The study also uses text mining technologies such as social mining and topic analysis to find images of the web services. The results from the study show that there are significant differences between the evaluations on web services by service providers and service users. There are also differences between images of a service provider from news data and social media data. These differences are represented with keywords related to the service providers. Texts from news are collected and analyzed to have more object images of a web service providers. Texts from social media are collected and analyzed to have more personal images of a web service providers. A decision tree analysis, as a data mining tool, is used to induce and to produce a strategy to understand the cognitive differences and to improve the quality of services. A decision tree analysis is used to find the pattern and to explain the difference between service providers and service users. It can be used to better understand the quality of their services and to improve the quality of service from service provider’s point of view. The approach this study suggests can be used to other evaluation areas such as customer satisfaction on new products or services.
{"title":"A 4-Dimensional Service Evaluation Strategy on Web Services","authors":"Ok-Sun Lim, Jee-Ah Shin, Jin-Hwa Kim","doi":"10.1166/jctn.2021.9597","DOIUrl":"https://doi.org/10.1166/jctn.2021.9597","url":null,"abstract":"The purpose of this study is to suggest a multi-dimensional model that evaluates services in web stores using data mining, text mining and surveys. Unlike other service evaluation model, this study suggests a 4 dimensional approach in evaluating web services. It uses reciprocal evaluation\u0000 methods on a web service by both services providers and service users. It identifies the cognitive differences on web services between these two groups. The study also uses text mining technologies such as social mining and topic analysis to find images of the web services. The results from\u0000 the study show that there are significant differences between the evaluations on web services by service providers and service users. There are also differences between images of a service provider from news data and social media data. These differences are represented with keywords related\u0000 to the service providers. Texts from news are collected and analyzed to have more object images of a web service providers. Texts from social media are collected and analyzed to have more personal images of a web service providers. A decision tree analysis, as a data mining tool, is used to\u0000 induce and to produce a strategy to understand the cognitive differences and to improve the quality of services. A decision tree analysis is used to find the pattern and to explain the difference between service providers and service users. It can be used to better understand the quality of\u0000 their services and to improve the quality of service from service provider’s point of view. The approach this study suggests can be used to other evaluation areas such as customer satisfaction on new products or services.","PeriodicalId":15416,"journal":{"name":"Journal of Computational and Theoretical Nanoscience","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46705295","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study shows O2O (offline to online) based studying abroad platform, we called it as DRM (DoDream), that provides foreign students with various information for studying in Korea and matching platform with Korean universities (Language Institute) (Lim, J.H., et al., 2019. The architecture design of students’ career information management system using blockchain technology. International Journal of Innovative Technology and Exploring Engineering, 8(8S2), pp.188–193). Empirical results reveal studying abroad provides a new environment for foreign students who dream of studying in Korea by innovating structural problems of existing studying abroad market and sharing open information about Korea n universities, and to provide systematic and efficient study abroad support services to Korean universities (Language institutes) and local study abroad. DRM (DoDream) Tokens will be otherwise intended to be generally obtainable by users of the DRM (DoDream) Platform through the methods externally from third party cryptocurrency exchanges or internally on the DRM (DoDream) platform through conversion of “step” points that are awarded to users who have participated in events, promotions and/or who have made positive contributions to the DoDream Platform community.
{"title":"An Analysis of Digital Assets on Exploiting Blockchain Management for Foreign Students","authors":"Jin-Ho Lim, Kwan-Sik Na, Seungcheon Kim","doi":"10.1166/jctn.2021.9586","DOIUrl":"https://doi.org/10.1166/jctn.2021.9586","url":null,"abstract":"This study shows O2O (offline to online) based studying abroad platform, we called it as DRM (DoDream), that provides foreign students with various information for studying in Korea and matching platform with Korean universities (Language Institute) (Lim, J.H., et al., 2019. The architecture\u0000 design of students’ career information management system using blockchain technology. International Journal of Innovative Technology and Exploring Engineering, 8(8S2), pp.188–193). Empirical results reveal studying abroad provides a new environment for foreign students who\u0000 dream of studying in Korea by innovating structural problems of existing studying abroad market and sharing open information about Korea n universities, and to provide systematic and efficient study abroad support services to Korean universities (Language institutes) and local study abroad.\u0000 DRM (DoDream) Tokens will be otherwise intended to be generally obtainable by users of the DRM (DoDream) Platform through the methods externally from third party cryptocurrency exchanges or internally on the DRM (DoDream) platform through conversion of “step” points that are awarded\u0000 to users who have participated in events, promotions and/or who have made positive contributions to the DoDream Platform community.","PeriodicalId":15416,"journal":{"name":"Journal of Computational and Theoretical Nanoscience","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48293993","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Presently, big data is very popular, since it finds helpful in diverse domains like social media, E-commerce transactions, etc. Cloud computing offers services on demand, broader networking access, source collection, quick flexibility and calculated services. The cloud sources are usually different and the application necessities of the end user are rapidly changing from time to time. So, the resource management is the tedious process. At the same time, resource management and scheduling plays a vital part in cloud computing (CC) results, particularly while the environment is employed in the analysis of big data, and minimum predictable workload dynamically enters into the cloud. The identification of the optimal scheduling solutions with diverse variables in varying platform still remains a crucial problem. Under cloud platform, the scheduling techniques should be able to adapt the changes quickly and according to the input workload. In this paper, an improved grey wolf optimization (IGWO) algorithm with oppositional learning principle has been important to carry out the scheduling task in an effective way. The presented IGWO based scheduling algorithm achieves optimal cloud resource usage and offers effective solution over the compared methods in a significant way.
{"title":"A Novel Improved Grey Wolf Optimization Algorithm Based Resource Management Strategy for Big Data Systems","authors":"L. Babu, J. Kumar","doi":"10.1166/JCTN.2021.9383","DOIUrl":"https://doi.org/10.1166/JCTN.2021.9383","url":null,"abstract":"Presently, big data is very popular, since it finds helpful in diverse domains like social media, E-commerce transactions, etc. Cloud computing offers services on demand, broader networking access, source collection, quick flexibility and calculated services. The cloud sources are usually\u0000 different and the application necessities of the end user are rapidly changing from time to time. So, the resource management is the tedious process. At the same time, resource management and scheduling plays a vital part in cloud computing (CC) results, particularly while the environment\u0000 is employed in the analysis of big data, and minimum predictable workload dynamically enters into the cloud. The identification of the optimal scheduling solutions with diverse variables in varying platform still remains a crucial problem. Under cloud platform, the scheduling techniques should\u0000 be able to adapt the changes quickly and according to the input workload. In this paper, an improved grey wolf optimization (IGWO) algorithm with oppositional learning principle has been important to carry out the scheduling task in an effective way. The presented IGWO based scheduling algorithm\u0000 achieves optimal cloud resource usage and offers effective solution over the compared methods in a significant way.","PeriodicalId":15416,"journal":{"name":"Journal of Computational and Theoretical Nanoscience","volume":"18 1","pages":"1227-1232"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48039206","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The 2-Dimensional breakdown characteristics analysis in InAlGaN/GaN high electron mobility transistors (HEMTs) is implemented through including of donor and acceptor atoms inside the barrier layer. Thereby dependences of the relative permittivity εr and the thickness d of passivation layer on the breakdown voltage are related for the parametric analysis. When the relative permittivity εr increases duly affects the breakdown voltage by order of increases, owing to its electric field existence at the drain, there on resulting in εr upsurges. This occurs due to the properties of insulator with the applied voltage evenly drops uniformly. The inducing voltage drop alongside the heterostructure of materials InAlGaN/GaN develops flatter response on the drain terminal of the gate owing to its permittivity εr of higher order. The aforementioned breakdown voltage surges, since of the electric field nearby the drain has weakened as a owing to it thickness of passivating layer d, this resolute InAlGaN/GaN HEMTs of a high-k along with the thicker passivation layer has higher breakdown voltage.
{"title":"Breakdown Voltage Analysis in Quaternary InAlGaN High Electron Mobility Transistor of High-K Passivation Layer for High Power Applications","authors":"N. Anbuselvan, P. Anandan","doi":"10.1166/JCTN.2021.9386","DOIUrl":"https://doi.org/10.1166/JCTN.2021.9386","url":null,"abstract":"The 2-Dimensional breakdown characteristics analysis in InAlGaN/GaN high electron mobility transistors (HEMTs) is implemented through including of donor and acceptor atoms inside the barrier layer. Thereby dependences of the relative permittivity εr and the thickness\u0000 d of passivation layer on the breakdown voltage are related for the parametric analysis. When the relative permittivity εr increases duly affects the breakdown voltage by order of increases, owing to its electric field existence at the drain, there on resulting in εr\u0000 upsurges. This occurs due to the properties of insulator with the applied voltage evenly drops uniformly. The inducing voltage drop alongside the heterostructure of materials InAlGaN/GaN develops flatter response on the drain terminal of the gate owing to its permittivity εr\u0000 of higher order. The aforementioned breakdown voltage surges, since of the electric field nearby the drain has weakened as a owing to it thickness of passivating layer d, this resolute InAlGaN/GaN HEMTs of a high-k along with the thicker passivation layer has higher breakdown voltage.","PeriodicalId":15416,"journal":{"name":"Journal of Computational and Theoretical Nanoscience","volume":"18 1","pages":"1282-1286"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46165287","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This investigated research work and the final decisions were arrived from the specific dynamical analysis of three different new and innovate underground interchange buildings planned and executing currently at Doha and Al khor situated at Qatar is presented. A supplementary study was carried out for an identical two-tier swapping building technique and the approach and outcome have been reported in this research article. The examination of dissimilar ventilation and air-conditioning stratagems has been done initially. The prime objective is to find the efficient and effectual design to invent and so as to uphold to get an attention of pollutant contaminant and thermal temperatures under the modelled and designed values, by investing very low cost even in the operating level. The systematic CFD modelling of dissimilar stratagems was done and the numerical and simulated results are shown in this work. The same has again merged with a dynamical Computational Fluid Dynamics (CFD) coding to reach the optimum result. This was done with the coordination with buses circulation and with the sources of heat and disbursed pollution. The concluding optimal result succeeded is grounded on a substantial partitioning which is connecting between the island area and berth locale. The efficacy of the multifarious design strategies and probable predictions are presented in the conclusions. In order to manage a fire crisis situation, it is primary to check about the planning of the fire and flames struggling measures which comprises of automatic freshening like ventilation along with arrangements of curtains, and explain the smoke sectors which would be able to manage with a fire crisis condition. The main results accessible are temperature fields, concentration of smoke and visibility.
{"title":"Optimization Approach of Ventilation Systems in Heating, Ventilation, and Air Conditioning for an Underground Building’s Transport","authors":"J. Jacob, R. Senanayake","doi":"10.1166/JCTN.2021.9395","DOIUrl":"https://doi.org/10.1166/JCTN.2021.9395","url":null,"abstract":"This investigated research work and the final decisions were arrived from the specific dynamical analysis of three different new and innovate underground interchange buildings planned and executing currently at Doha and Al khor situated at Qatar is presented. A supplementary study was\u0000 carried out for an identical two-tier swapping building technique and the approach and outcome have been reported in this research article. The examination of dissimilar ventilation and air-conditioning stratagems has been done initially. The prime objective is to find the efficient and effectual\u0000 design to invent and so as to uphold to get an attention of pollutant contaminant and thermal temperatures under the modelled and designed values, by investing very low cost even in the operating level. The systematic CFD modelling of dissimilar stratagems was done and the numerical and simulated\u0000 results are shown in this work. The same has again merged with a dynamical Computational Fluid Dynamics (CFD) coding to reach the optimum result. This was done with the coordination with buses circulation and with the sources of heat and disbursed pollution. The concluding optimal result succeeded\u0000 is grounded on a substantial partitioning which is connecting between the island area and berth locale. The efficacy of the multifarious design strategies and probable predictions are presented in the conclusions. In order to manage a fire crisis situation, it is primary to check about the\u0000 planning of the fire and flames struggling measures which comprises of automatic freshening like ventilation along with arrangements of curtains, and explain the smoke sectors which would be able to manage with a fire crisis condition. The main results accessible are temperature fields, concentration\u0000 of smoke and visibility.","PeriodicalId":15416,"journal":{"name":"Journal of Computational and Theoretical Nanoscience","volume":"18 1","pages":"1294-1299"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49324182","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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