Pub Date : 2021-12-20DOI: 10.33130/ajct.2021v07i03.009
Khadeja M. Mohamed, Dr. Mohammed H. Ali
Ultrasound is one of the most important imaging modalities in medical practice. It is the most technique development with a lot benefits and with little challenges that include low imaging quality and high variability. Medical field is the most application that exploit the ultrasonic technique widely in body imaging, especially the real time Feature which take advantage of diagnostic time. This research makes a survey on the ultrasound image reconstruction and Display. First, the Ultrasound Imaging are reviewed as overall studying include the frequency ranges, advantages, main limitations, and applications. Second, the 2D or B-mode ultrasound imaging according to generation steps and mathematic studying are reviewed. Third, the stages of the 3D ultrasound object formation which is the data acquisition, data preprocessing, reconstruction method and 3D visualization, are discussed. Fourth, MATLAB Simulation to create B-Mode Ultrasound image with Synthetic phantom of a fetus in the third month of age, by using Field II software made specially for ultrasound environment, after initializing the ultrasound environment a phantom used to yield the BMode image. The complete B-Mode fetus scanned image creation need 5 hours and approximately 20 mins, that each line takes around 2min and 30 sec, with a processor 1.8 GHz Dual-Core Intel Core i5, MacOS. When the parameters of transducer have been changing then the clearness of the generated image the time taken will change in response.
{"title":"Medical B-Mode Ultrasound Imaging Reconstruction Algorithms: Evaluation and Simulation","authors":"Khadeja M. Mohamed, Dr. Mohammed H. Ali","doi":"10.33130/ajct.2021v07i03.009","DOIUrl":"https://doi.org/10.33130/ajct.2021v07i03.009","url":null,"abstract":"Ultrasound is one of the most important imaging modalities in medical practice. It is the most technique development with a lot benefits and with little challenges that include low imaging quality and high variability. Medical field is the most application that exploit the ultrasonic technique widely in body imaging, especially the real time Feature which take advantage of diagnostic time. This research makes a survey on the ultrasound image reconstruction and Display. First, the Ultrasound Imaging are reviewed as overall studying include the frequency ranges, advantages, main limitations, and applications. Second, the 2D or B-mode ultrasound imaging according to generation steps and mathematic studying are reviewed. Third, the stages of the 3D ultrasound object formation which is the data acquisition, data preprocessing, reconstruction method and 3D visualization, are discussed. Fourth, MATLAB Simulation to create B-Mode Ultrasound image with Synthetic phantom of a fetus in the third month of age, by using Field II software made specially for ultrasound environment, after initializing the ultrasound environment a phantom used to yield the BMode image. The complete B-Mode fetus scanned image creation need 5 hours and approximately 20 mins, that each line takes around 2min and 30 sec, with a processor 1.8 GHz Dual-Core Intel Core i5, MacOS. When the parameters of transducer have been changing then the clearness of the generated image the time taken will change in response.","PeriodicalId":138101,"journal":{"name":"ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY","volume":"2016 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127366890","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}
Pub Date : 2021-12-20DOI: 10.33130/ajct.2021v07i03.007
Davut Çulha
Global Positioning System is very critical for many applications. If it is out of service, there may be chaotic situations for the applications. For this reason, there should be other types of sources for location information. In this work, a blockchain is proposed for location information. Blockchain provides a resilient system, and it can also provide reliable location information. Reliability of location information is also supported by short-range communication. Short-range communication eliminates location information errors outside the communication range. Therefore, it helps to minimize location information errors. In the blockchain, there are special devices to provide location information. The proposed blockchain is a market for location trade with its own cryptocurrency, which is used mostly to incentivize the devices to share location information among themselves. Moreover, the proposed blockchain respect location privacy using encryption mechanism. Keywords—blockchain, location information, GPS, internet of things, cryptocurrency, short-range communication, location privacy
{"title":"Blockchain for an Alternative GPS","authors":"Davut Çulha","doi":"10.33130/ajct.2021v07i03.007","DOIUrl":"https://doi.org/10.33130/ajct.2021v07i03.007","url":null,"abstract":"Global Positioning System is very critical for many applications. If it is out of service, there may be chaotic situations for the applications. For this reason, there should be other types of sources for location information. In this work, a blockchain is proposed for location information. Blockchain provides a resilient system, and it can also provide reliable location information. Reliability of location information is also supported by short-range communication. Short-range communication eliminates location information errors outside the communication range. Therefore, it helps to minimize location information errors. In the blockchain, there are special devices to provide location information. The proposed blockchain is a market for location trade with its own cryptocurrency, which is used mostly to incentivize the devices to share location information among themselves. Moreover, the proposed blockchain respect location privacy using encryption mechanism. Keywords—blockchain, location information, GPS, internet of things, cryptocurrency, short-range communication, location privacy","PeriodicalId":138101,"journal":{"name":"ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128226085","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}
Pub Date : 2021-12-20DOI: 10.33130/ajct.2021v07i03.002
D. Joshi
This paper reviews and revisits the concepts, algorithm followed, the flow of sequence of actions and different operators used by Genetic Algorithm. GAs are the metaheuristic algorithm used for solving the searching problems. We will see that Genetic Algorithms has good searching properties which selects its operators depending upon the nature of the problem at hand, that is, if the problem has one optimal solution, Genetic Algorithm as well as Simulated Annealing can be used to solve it but if a problem has more than one solution, then only Genetic Algorithm proves to be suitable and the better choice as it creates several solutions for a problem. Keywords— Genetic Algorithm, working, components, mutation, selection, crossover, K-Point
{"title":"Genetic Algorithm and its Applications - A Brief Study","authors":"D. Joshi","doi":"10.33130/ajct.2021v07i03.002","DOIUrl":"https://doi.org/10.33130/ajct.2021v07i03.002","url":null,"abstract":"This paper reviews and revisits the concepts, algorithm followed, the flow of sequence of actions and different operators used by Genetic Algorithm. GAs are the metaheuristic algorithm used for solving the searching problems. We will see that Genetic Algorithms has good searching properties which selects its operators depending upon the nature of the problem at hand, that is, if the problem has one optimal solution, Genetic Algorithm as well as Simulated Annealing can be used to solve it but if a problem has more than one solution, then only Genetic Algorithm proves to be suitable and the better choice as it creates several solutions for a problem. Keywords— Genetic Algorithm, working, components, mutation, selection, crossover, K-Point","PeriodicalId":138101,"journal":{"name":"ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126023525","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}
Pub Date : 2021-12-20DOI: 10.33130/ajct.2021v07i03.011
Advait Patil, Richa Gupta
: The fashion industry is one of the biggest industries in the world and we are living in the” Insta- age” where new technological innovations have emerged into the fashion industry and affected the lifestyles of people today. New technology also termed an emerging technology is defined as innovation in any beneficial methods that offer critical improvement based on established machinery. Technologies like Artificial Intelligence, Magic mirrors, 3-D printing, and Virtual Reality, etc. have played major roles in reshaping the fashion market. Consumers are intertwined in the digital world, and designers embrace the latest innovations in their designs, manufacturing, and marketing. This paper explores the blend of traditional designs from the Gulf region, with inbuilt hi-tech and digital inclusions using LED (Light Emitting Diode). The objective of the paper is to retain the value of heritage and yet align with existing and future trends.
{"title":"Re-Visualizing Modest Fashion: Use of LED in changing Fashion Trends","authors":"Advait Patil, Richa Gupta","doi":"10.33130/ajct.2021v07i03.011","DOIUrl":"https://doi.org/10.33130/ajct.2021v07i03.011","url":null,"abstract":": The fashion industry is one of the biggest industries in the world and we are living in the” Insta- age” where new technological innovations have emerged into the fashion industry and affected the lifestyles of people today. New technology also termed an emerging technology is defined as innovation in any beneficial methods that offer critical improvement based on established machinery. Technologies like Artificial Intelligence, Magic mirrors, 3-D printing, and Virtual Reality, etc. have played major roles in reshaping the fashion market. Consumers are intertwined in the digital world, and designers embrace the latest innovations in their designs, manufacturing, and marketing. This paper explores the blend of traditional designs from the Gulf region, with inbuilt hi-tech and digital inclusions using LED (Light Emitting Diode). The objective of the paper is to retain the value of heritage and yet align with existing and future trends.","PeriodicalId":138101,"journal":{"name":"ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128906522","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}
Pub Date : 2021-12-20DOI: 10.33130/ajct.2021v07i03.010
Reddy Anuradha
Cancer is the world's second largest cause of death. In 2018, 9.6 million people died from cancer. In any medical sickness, breast cancer is one of the most delicate and endemic diseases. This is one of the primary causes of female death in the world. Breast cancer kills one out of every eleven women around the world. "Early detection equals improved odds of survival," says a well-known cancer adage. As a result, early detection is essential for successfully preventing breast cancer and lowering morality. Breast Cancer is a type of cancer that affects one of the most significant issues that humanity has faced in recent decades has been diagnosis and prediction. Cancer detection that is accurate can save millions of lives. Effective technologies for diagnosing malignant breasts aid healthcare providers in diagnosing and treating patients in a fast and accurate manner. Experiments were carried out in this study to categorize breast cancer as benign or malignant using the Wisconsin Diagnosis Breast Cancer (WDBC) database. Support Vector Machine is a supervised learning technique (SVM). The SVM classifier's classification performance is evaluated. Experiments demonstrate that the SVM model has a fantastic performance, with a classification accuracy of 96.09 percent on the testing subset. KeywordsWisconsin Breast Cancer Breast cancer, Mammography, Artificial intelligence, support vector machine, Wisconsin Breast Cancer dataset
{"title":"Support Vector Machine Classifier for Prediction of Breast Malignancy using Wisconsin Breast Cancer Dataset","authors":"Reddy Anuradha","doi":"10.33130/ajct.2021v07i03.010","DOIUrl":"https://doi.org/10.33130/ajct.2021v07i03.010","url":null,"abstract":"Cancer is the world's second largest cause of death. In 2018, 9.6 million people died from cancer. In any medical sickness, breast cancer is one of the most delicate and endemic diseases. This is one of the primary causes of female death in the world. Breast cancer kills one out of every eleven women around the world. \"Early detection equals improved odds of survival,\" says a well-known cancer adage. As a result, early detection is essential for successfully preventing breast cancer and lowering morality. Breast Cancer is a type of cancer that affects one of the most significant issues that humanity has faced in recent decades has been diagnosis and prediction. Cancer detection that is accurate can save millions of lives. Effective technologies for diagnosing malignant breasts aid healthcare providers in diagnosing and treating patients in a fast and accurate manner. Experiments were carried out in this study to categorize breast cancer as benign or malignant using the Wisconsin Diagnosis Breast Cancer (WDBC) database. Support Vector Machine is a supervised learning technique (SVM). The SVM classifier's classification performance is evaluated. Experiments demonstrate that the SVM model has a fantastic performance, with a classification accuracy of 96.09 percent on the testing subset. KeywordsWisconsin Breast Cancer Breast cancer, Mammography, Artificial intelligence, support vector machine, Wisconsin Breast Cancer dataset","PeriodicalId":138101,"journal":{"name":"ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133113124","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}
Pub Date : 2021-12-20DOI: 10.33130/ajct.2021v07i03.008
Bhagvan Kommadi
Self-aware, Self-Defending Adaptive Network is a network that defends itself from security breaches in the deployment of smart cities. An adaptive system that knows and recognizes the level of threat faced by an intrusion across a network of smart cities. To detect and separate security threats, the AI program uses a new method of machine learning to track any aspect of a network. Threats include ransomware, high-jacking code, intrusion and illegal entry, theft, and unauthorized use. An autonomous system comprises of a collection of autonomous modules that are introduced and removed dynamically. To order to achieve machine objectives, nodes inside such an ensemble will cooperate. In response to changes in its operating environment, the self-adaptive network modifies its own behavior. We mean anything that the network can observe, such as user interaction, network devices and sensors, or instrumentation, by operating environment. Keywords—adaptive network, AI defined infrastructure,
{"title":"AI based Adaptive Network for Smart Cities","authors":"Bhagvan Kommadi","doi":"10.33130/ajct.2021v07i03.008","DOIUrl":"https://doi.org/10.33130/ajct.2021v07i03.008","url":null,"abstract":"Self-aware, Self-Defending Adaptive Network is a network that defends itself from security breaches in the deployment of smart cities. An adaptive system that knows and recognizes the level of threat faced by an intrusion across a network of smart cities. To detect and separate security threats, the AI program uses a new method of machine learning to track any aspect of a network. Threats include ransomware, high-jacking code, intrusion and illegal entry, theft, and unauthorized use. An autonomous system comprises of a collection of autonomous modules that are introduced and removed dynamically. To order to achieve machine objectives, nodes inside such an ensemble will cooperate. In response to changes in its operating environment, the self-adaptive network modifies its own behavior. We mean anything that the network can observe, such as user interaction, network devices and sensors, or instrumentation, by operating environment. Keywords—adaptive network, AI defined infrastructure,","PeriodicalId":138101,"journal":{"name":"ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY","volume":"12 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129767509","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}
Pub Date : 2021-12-20DOI: 10.33130/ajct.2021v07i03.003
Nupoor Shailendra Kangle, D. R. Kannan, S. Vispute
Now-a-days with the increasing demand of the web , online marketing is additionally becoming progressively popular. This is often because; tons of products and services are easily available online. Hence, reviews of these products and services are vital for customers also as sellers. But, to gain profit or promotion, scammers produce fake reviews. These fake reviews written by scammers prevent customers and sellers reaching actual opinion about the products. Hence, fake reviews or spam reviews must be detected and eliminated so as to prevent misleading potential customers. In our work, supervised and semi supervised learning techniques are applied to detect spam review.
{"title":"Application Of Machine Learning Techniques For Fake Customer Review Detection","authors":"Nupoor Shailendra Kangle, D. R. Kannan, S. Vispute","doi":"10.33130/ajct.2021v07i03.003","DOIUrl":"https://doi.org/10.33130/ajct.2021v07i03.003","url":null,"abstract":"Now-a-days with the increasing demand of the web , online marketing is additionally becoming progressively popular. This is often because; tons of products and services are easily available online. Hence, reviews of these products and services are vital for customers also as sellers. But, to gain profit or promotion, scammers produce fake reviews. These fake reviews written by scammers prevent customers and sellers reaching actual opinion about the products. Hence, fake reviews or spam reviews must be detected and eliminated so as to prevent misleading potential customers. In our work, supervised and semi supervised learning techniques are applied to detect spam review.","PeriodicalId":138101,"journal":{"name":"ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY","volume":"143 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126766309","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}
Pub Date : 2021-12-20DOI: 10.33130/ajct.2021v07i03.001
Pragati Kanchan, Nikhilkumar B. Shardoor
Agriculture is the primary component of the Indian economy. It is the primary source of food supply and is essential to our livelihoods. The majority of Indians rely on agriculture for their employment. Agriculture production declines as a result of unpredictable weather, wrong selection of crops, unbalanced fertilizer use, and a lack of market awareness. Farmers face numerous challenges in traditional farming, and many times, farmers fail to select the appropriate crop for cultivation. Crop growth is affected by a variety of factors such as weather, soil parameters, and fertilizers. A crop recommendation system is proposed in this paper to assist farmers in selecting the appropriate crop based on the location, weather data, crop sowing season, and soil parameter. Various Machine Learning techniques, such as Decision Tree (DT), Random Forest (RF), Gaussian Naive Bayes, and XGBoost Classifier methods, were used for recommendation. The XGBoost classifier gives the best results with a 97% accuracy, hence the final model was developed using the XGBoost classifier. This system will help farmers in selecting the best crop for their fields while increasing agricultural yield. Keywords— Crop Recommendation, Decision Tree, Random Forest, Naive Bayes, XGBoost Classifier.
{"title":"Krashignyan: A Farmer Support System","authors":"Pragati Kanchan, Nikhilkumar B. Shardoor","doi":"10.33130/ajct.2021v07i03.001","DOIUrl":"https://doi.org/10.33130/ajct.2021v07i03.001","url":null,"abstract":"Agriculture is the primary component of the Indian economy. It is the primary source of food supply and is essential to our livelihoods. The majority of Indians rely on agriculture for their employment. Agriculture production declines as a result of unpredictable weather, wrong selection of crops, unbalanced fertilizer use, and a lack of market awareness. Farmers face numerous challenges in traditional farming, and many times, farmers fail to select the appropriate crop for cultivation. Crop growth is affected by a variety of factors such as weather, soil parameters, and fertilizers. A crop recommendation system is proposed in this paper to assist farmers in selecting the appropriate crop based on the location, weather data, crop sowing season, and soil parameter. Various Machine Learning techniques, such as Decision Tree (DT), Random Forest (RF), Gaussian Naive Bayes, and XGBoost Classifier methods, were used for recommendation. The XGBoost classifier gives the best results with a 97% accuracy, hence the final model was developed using the XGBoost classifier. This system will help farmers in selecting the best crop for their fields while increasing agricultural yield. Keywords— Crop Recommendation, Decision Tree, Random Forest, Naive Bayes, XGBoost Classifier.","PeriodicalId":138101,"journal":{"name":"ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123465188","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}
Pub Date : 2021-08-20DOI: 10.33130/ajct.2021v07i02.022
Nibras AJ. Khaleel, Anas L. Mahmood
{"title":"Solar Photovoltaic Array Reconfiguration for Reducing Partial Shading Effect","authors":"Nibras AJ. Khaleel, Anas L. Mahmood","doi":"10.33130/ajct.2021v07i02.022","DOIUrl":"https://doi.org/10.33130/ajct.2021v07i02.022","url":null,"abstract":"","PeriodicalId":138101,"journal":{"name":"ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134449033","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}
Pub Date : 2021-08-18DOI: 10.33130/ajct.2021v07i02.001
Azra Batool, S. Naz
{"title":"THIRD EYE FOR BLIND","authors":"Azra Batool, S. Naz","doi":"10.33130/ajct.2021v07i02.001","DOIUrl":"https://doi.org/10.33130/ajct.2021v07i02.001","url":null,"abstract":"","PeriodicalId":138101,"journal":{"name":"ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123120712","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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