Pub Date : 2019-03-15DOI: 10.1109/ICACCS.2019.8728363
Shubha. P, M. Meenakshi
The proposed work in this paper mainly focuses on the design and development of the assistive robot for the disabled and the patients in need. This work addresses the challenges of the robotic field to improve the supply of health care services to patients in the upcoming development. The assistive robot developed in this work includes both hardware and software design. The combination of the IR sensors, real time clock (RTC) and microcontroller manages the overall operation of the system. Hardware includes grippers with flexible arm which is used to pick and place operations and the sensors are used for the detection of an action. IR sensors are used for obstacle detection, range determination and obstacle avoidance. In order to validate the designed hardware and software a case study of assisting the bed ridden patient by delivering medicines on time is considered so that more importance is given to nursing care residents. Experimental results demonstrated its proper functioning by delivering prescribed tablets by automatically moving towards the patient as per the timeline indicated in real time, which is demonstrated using developed prototype model.
{"title":"Design and Implementation of Healthcare Assistive Robot","authors":"Shubha. P, M. Meenakshi","doi":"10.1109/ICACCS.2019.8728363","DOIUrl":"https://doi.org/10.1109/ICACCS.2019.8728363","url":null,"abstract":"The proposed work in this paper mainly focuses on the design and development of the assistive robot for the disabled and the patients in need. This work addresses the challenges of the robotic field to improve the supply of health care services to patients in the upcoming development. The assistive robot developed in this work includes both hardware and software design. The combination of the IR sensors, real time clock (RTC) and microcontroller manages the overall operation of the system. Hardware includes grippers with flexible arm which is used to pick and place operations and the sensors are used for the detection of an action. IR sensors are used for obstacle detection, range determination and obstacle avoidance. In order to validate the designed hardware and software a case study of assisting the bed ridden patient by delivering medicines on time is considered so that more importance is given to nursing care residents. Experimental results demonstrated its proper functioning by delivering prescribed tablets by automatically moving towards the patient as per the timeline indicated in real time, which is demonstrated using developed prototype model.","PeriodicalId":249139,"journal":{"name":"2019 5th International Conference on Advanced Computing & Communication Systems (ICACCS)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126400937","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 : 2019-03-15DOI: 10.1109/ICACCS.2019.8728372
Haritha A S, J. Jose
The acceptance of electric vehicle around the world, represents a brand new paradigm for the transportation sector and for the particular and future power grids. Generally electric vehicles employ on board chargers. This paper suggests another candidate for isolated unidirectional DC/DC converter in electric vehicle on-board charger based on Full bridge- LLC resonant converter. Here a simple method is proposed to improve the charging profile. The circuit possess the inherent advantages like good voltage regulation performance at light load conditions and soft switching of power devices. The feasibility of proposed model has been verified with MATLAB/Simulink.
{"title":"An Efficient Resonant Converter Based Charging Scheme for Electric Vehicle","authors":"Haritha A S, J. Jose","doi":"10.1109/ICACCS.2019.8728372","DOIUrl":"https://doi.org/10.1109/ICACCS.2019.8728372","url":null,"abstract":"The acceptance of electric vehicle around the world, represents a brand new paradigm for the transportation sector and for the particular and future power grids. Generally electric vehicles employ on board chargers. This paper suggests another candidate for isolated unidirectional DC/DC converter in electric vehicle on-board charger based on Full bridge- LLC resonant converter. Here a simple method is proposed to improve the charging profile. The circuit possess the inherent advantages like good voltage regulation performance at light load conditions and soft switching of power devices. The feasibility of proposed model has been verified with MATLAB/Simulink.","PeriodicalId":249139,"journal":{"name":"2019 5th International Conference on Advanced Computing & Communication Systems (ICACCS)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128377992","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 : 2019-03-15DOI: 10.1109/ICACCS.2019.8728477
R. Kavin, T. Kesavan, S. Sheebarani Gnanamalar, K. Rameshkumar
The increases in fuel consumption, we are in need of Electric Vehicles (EV) supplied by Renewable Energy Sources (RES) like Solar Energy Resources (Photovoltaic system), Photovoltaic cell fixed in solar panels, it convert the sun energy directly into electric energy, the term "Solar Vehicle" usually implies that electricity then fuels the battery that runs the car's motor. Instead of using a battery, some solar cars direct the power straight to an electric motor. Solar cars can accomplish this through photovoltaic cells (PVC). PVCs are the components in solar paneling that convert the sun's energy to electricity. Solar panels installed on your roof work best during daylight hours. When the sun is shining directly onto them, sunlight can be converted into electricity. Your solar panel efficiency drops at night because there is no sunlight to convert to electricity and solar panels can't generate power in darkness.
{"title":"Optimal Charging and Discharging Planning for Electric vehicles in Energy saving system","authors":"R. Kavin, T. Kesavan, S. Sheebarani Gnanamalar, K. Rameshkumar","doi":"10.1109/ICACCS.2019.8728477","DOIUrl":"https://doi.org/10.1109/ICACCS.2019.8728477","url":null,"abstract":"The increases in fuel consumption, we are in need of Electric Vehicles (EV) supplied by Renewable Energy Sources (RES) like Solar Energy Resources (Photovoltaic system), Photovoltaic cell fixed in solar panels, it convert the sun energy directly into electric energy, the term \"Solar Vehicle\" usually implies that electricity then fuels the battery that runs the car's motor. Instead of using a battery, some solar cars direct the power straight to an electric motor. Solar cars can accomplish this through photovoltaic cells (PVC). PVCs are the components in solar paneling that convert the sun's energy to electricity. Solar panels installed on your roof work best during daylight hours. When the sun is shining directly onto them, sunlight can be converted into electricity. Your solar panel efficiency drops at night because there is no sunlight to convert to electricity and solar panels can't generate power in darkness.","PeriodicalId":249139,"journal":{"name":"2019 5th International Conference on Advanced Computing & Communication Systems (ICACCS)","volume":"213 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115944978","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 : 2019-03-15DOI: 10.1109/ICACCS.2019.8728505
Liya Joy, A. Raj
All students dream to obtain a job offer in their hands before they leave their college. A placement chance predictor helps students to have an idea about where they stand and what to be done to obtain a good placement. A placement predictor is a system that could predict the possibility or the type of company a pre-final year student have chances to be placed. Thus a prediction system could help in the academic planning of an institution for future years. With the emergence of data mining and machine learning, many predictor models were introduced by analyzing the previous year student’s dataset. This paper presents a literature survey on different placement prediction models for pre-final year engineering graduate students.
{"title":"A Review on Student Placement Chance Prediction","authors":"Liya Joy, A. Raj","doi":"10.1109/ICACCS.2019.8728505","DOIUrl":"https://doi.org/10.1109/ICACCS.2019.8728505","url":null,"abstract":"All students dream to obtain a job offer in their hands before they leave their college. A placement chance predictor helps students to have an idea about where they stand and what to be done to obtain a good placement. A placement predictor is a system that could predict the possibility or the type of company a pre-final year student have chances to be placed. Thus a prediction system could help in the academic planning of an institution for future years. With the emergence of data mining and machine learning, many predictor models were introduced by analyzing the previous year student’s dataset. This paper presents a literature survey on different placement prediction models for pre-final year engineering graduate students.","PeriodicalId":249139,"journal":{"name":"2019 5th International Conference on Advanced Computing & Communication Systems (ICACCS)","volume":"141 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121728024","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 : 2019-03-15DOI: 10.1109/ICACCS.2019.8728545
F. M, M. Meharban
Realistic Image Synthesis is the process of synthesizing images that constitutes the information of a real scene. Although they have strong relevance in multiple fields, realistic image synthesis from a given input is still a challenging problem. By making use of deep learning, more accurate methods were introduced that synthesize images in a more realistic manner. In this paper, a survey on image synthesis based on deep learning is carried out.
{"title":"Review on Image Synthesis Techniques","authors":"F. M, M. Meharban","doi":"10.1109/ICACCS.2019.8728545","DOIUrl":"https://doi.org/10.1109/ICACCS.2019.8728545","url":null,"abstract":"Realistic Image Synthesis is the process of synthesizing images that constitutes the information of a real scene. Although they have strong relevance in multiple fields, realistic image synthesis from a given input is still a challenging problem. By making use of deep learning, more accurate methods were introduced that synthesize images in a more realistic manner. In this paper, a survey on image synthesis based on deep learning is carried out.","PeriodicalId":249139,"journal":{"name":"2019 5th International Conference on Advanced Computing & Communication Systems (ICACCS)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129955627","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 : 2019-03-15DOI: 10.1109/ICACCS.2019.8728359
Swaroop Joshi, Vinay. S. Vasisht, Rajeshwari Hegde, Sharath Kumar
With the introduction of IoT, there is a need to accommodate a larger group of users in systems like the wireless energy harvesting system where every user needs to be represented and his information needs to be transmitted using the modulation techniques. Every technique can only represent a limited number of users and are prone to errors. Hence, the intention is to combine two modulation techniques: M-ary amplitude modulation technique and the phase-shift keying method such that the number of users can be as many as the product of that which could be accommodated by the modulation techniques each used individually. Wireless energy harvesting happens to be a promising technique for the future. Our scheme is applied to a previously suggested Wireless energy harvesting scheme.
{"title":"An Alternate Method to Distribute Energy for a Wireless Energy Harvesting System","authors":"Swaroop Joshi, Vinay. S. Vasisht, Rajeshwari Hegde, Sharath Kumar","doi":"10.1109/ICACCS.2019.8728359","DOIUrl":"https://doi.org/10.1109/ICACCS.2019.8728359","url":null,"abstract":"With the introduction of IoT, there is a need to accommodate a larger group of users in systems like the wireless energy harvesting system where every user needs to be represented and his information needs to be transmitted using the modulation techniques. Every technique can only represent a limited number of users and are prone to errors. Hence, the intention is to combine two modulation techniques: M-ary amplitude modulation technique and the phase-shift keying method such that the number of users can be as many as the product of that which could be accommodated by the modulation techniques each used individually. Wireless energy harvesting happens to be a promising technique for the future. Our scheme is applied to a previously suggested Wireless energy harvesting scheme.","PeriodicalId":249139,"journal":{"name":"2019 5th International Conference on Advanced Computing & Communication Systems (ICACCS)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124395121","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 : 2019-03-15DOI: 10.1109/ICACCS.2019.8728367
S. Suresh Kumar, R Kaviyaraj., LA Jeni Narayanan, Saleekha
Nowadays electricity is more important in our day-to-day life, Energy is being harvested by using external sources such as a windmill, solar panel, kinetic energy etc. Here we are proposed to produce electricity on roads, the pathway by using the piezoelectric sensors. The Piezoelectric sensor works by converting the mechanical energy (which is created by pressure) into electrical energy. The electricity is produced by the pressure, vibration on the piezoelectric sensor which is placed in roads or pathway. When the vehicle moves sensor generates electrical energy by using the pressure of the vehicle’s weight. Then it is stored and used for Signals, Streetlights etc.
{"title":"Energy Harvesting by Piezoelectric Sensor Array in Road Using Internet of Things","authors":"S. Suresh Kumar, R Kaviyaraj., LA Jeni Narayanan, Saleekha","doi":"10.1109/ICACCS.2019.8728367","DOIUrl":"https://doi.org/10.1109/ICACCS.2019.8728367","url":null,"abstract":"Nowadays electricity is more important in our day-to-day life, Energy is being harvested by using external sources such as a windmill, solar panel, kinetic energy etc. Here we are proposed to produce electricity on roads, the pathway by using the piezoelectric sensors. The Piezoelectric sensor works by converting the mechanical energy (which is created by pressure) into electrical energy. The electricity is produced by the pressure, vibration on the piezoelectric sensor which is placed in roads or pathway. When the vehicle moves sensor generates electrical energy by using the pressure of the vehicle’s weight. Then it is stored and used for Signals, Streetlights etc.","PeriodicalId":249139,"journal":{"name":"2019 5th International Conference on Advanced Computing & Communication Systems (ICACCS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126331776","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 : 2019-03-15DOI: 10.1109/ICACCS.2019.8728409
M. V. Murali, T. Vishnu, Nancy Victor
Recommender system, an information filtering technology used in many items is presented in web sites as per the interest of users, and is implemented in applications like movies, music, venue, books, research articles, tourism and social media in general. In today’s world, time has more value and the researchers have no much time to spend on searching for the right articles according to their research domain. More than 250 research paper recommender systems were published and the quantity of research papers published every day is increasing rapidly. Thus it needs an efficient searching and filtering mechanism to choose the quality research papers, so that the effort and time of researchers can be saved. The recommender system proposed here uses three major factors used for building this system which includes datasets, prediction rating based on users and cosine similarity. The ratings are made by user which will be determined by the number of accurate ratings they provide. The results are then sorted by using cosine similarity. We propose a research-paper recommender system using collaborative filtering approach to recommend a user with best research papers in their domain according to their queries and based on the similarities found from other users on the basis of their queries, which will help in avoiding time consuming searches for the user.
{"title":"A Collaborative Filtering based Recommender System for Suggesting New Trends in Any Domain of Research","authors":"M. V. Murali, T. Vishnu, Nancy Victor","doi":"10.1109/ICACCS.2019.8728409","DOIUrl":"https://doi.org/10.1109/ICACCS.2019.8728409","url":null,"abstract":"Recommender system, an information filtering technology used in many items is presented in web sites as per the interest of users, and is implemented in applications like movies, music, venue, books, research articles, tourism and social media in general. In today’s world, time has more value and the researchers have no much time to spend on searching for the right articles according to their research domain. More than 250 research paper recommender systems were published and the quantity of research papers published every day is increasing rapidly. Thus it needs an efficient searching and filtering mechanism to choose the quality research papers, so that the effort and time of researchers can be saved. The recommender system proposed here uses three major factors used for building this system which includes datasets, prediction rating based on users and cosine similarity. The ratings are made by user which will be determined by the number of accurate ratings they provide. The results are then sorted by using cosine similarity. We propose a research-paper recommender system using collaborative filtering approach to recommend a user with best research papers in their domain according to their queries and based on the similarities found from other users on the basis of their queries, which will help in avoiding time consuming searches for the user.","PeriodicalId":249139,"journal":{"name":"2019 5th International Conference on Advanced Computing & Communication Systems (ICACCS)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132100730","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 : 2019-03-15DOI: 10.1109/ICACCS.2019.8728519
Inthiyaz Basha Kattubadi, Dr. Rama Murthy Garimella
Emotion Classification is an important task for the machines to understand the emotional changes in human beings. In this research paper, we utilize a combination of Convolutional Neural Networks and Auto-Encoders to extract features for Emotion Classification. We proposed a total of six architectures. Among them, two architectures are trained on JAFFE (Japanese Female Facial Expressions), remaining four architectures are trained with Berlin Database of Emotional Speech. Good classification accuracy is attained with these architectures.
情绪分类是机器理解人类情绪变化的一项重要任务。在这篇研究论文中，我们利用卷积神经网络和自动编码器的组合来提取情感分类的特征。我们总共提出了六个架构。其中2个架构使用JAFFE (Japanese Female Facial expression)进行训练，其余4个架构使用Berlin Database of Emotional Speech进行训练。使用这些体系结构可以获得良好的分类精度。
{"title":"Emotion Classification: Novel Deep Learning Architectures","authors":"Inthiyaz Basha Kattubadi, Dr. Rama Murthy Garimella","doi":"10.1109/ICACCS.2019.8728519","DOIUrl":"https://doi.org/10.1109/ICACCS.2019.8728519","url":null,"abstract":"Emotion Classification is an important task for the machines to understand the emotional changes in human beings. In this research paper, we utilize a combination of Convolutional Neural Networks and Auto-Encoders to extract features for Emotion Classification. We proposed a total of six architectures. Among them, two architectures are trained on JAFFE (Japanese Female Facial Expressions), remaining four architectures are trained with Berlin Database of Emotional Speech. Good classification accuracy is attained with these architectures.","PeriodicalId":249139,"journal":{"name":"2019 5th International Conference on Advanced Computing & Communication Systems (ICACCS)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121281243","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 : 2019-03-15DOI: 10.1109/ICACCS.2019.8728462
M. Harikrishnan, K. Lakshmy
Performing a fair exchange without a Trusted Third Party (TTP) was considered to be impossible. With multi party computation and practices like Proof-of-Work (PoW), blockchain accomplishes a fair exchange in a trustless network. Data confidentiality is a key challenge that has to be resolved before adopting blockchain for enterprise applications where tokenized assets will be transferred. Protocols like Zcash are already providing the same for financial transactions but lacks flexibility required to apply in most of the potential use cases of blockchain. Most of the real world application work in a way where a transaction is carried out when a particular action is performed. Also, the zero knowledge proof method used in Zcash, ZKSNARK has certain weaknesses restricting its adoption. One of the major drawbacks of ZKSNARK is that it requires an initial trust setup phase which is difficult to achieve in blockchain ecosystem. ZKSTARK, an interactive zero knowledge proof does not require this phase and also provides security against post quantum attacks. We propose a system that uses two indistinguishable hash functions along with ZKSTARK to improve the flexibility of blockchain platforms. The two indistinguishable hash functions are chosen from SHA3-finalists based on their security, performance and inner designs.
{"title":"Secure Digital Service Payments using Zero Knowledge Proof in Distributed Network","authors":"M. Harikrishnan, K. Lakshmy","doi":"10.1109/ICACCS.2019.8728462","DOIUrl":"https://doi.org/10.1109/ICACCS.2019.8728462","url":null,"abstract":"Performing a fair exchange without a Trusted Third Party (TTP) was considered to be impossible. With multi party computation and practices like Proof-of-Work (PoW), blockchain accomplishes a fair exchange in a trustless network. Data confidentiality is a key challenge that has to be resolved before adopting blockchain for enterprise applications where tokenized assets will be transferred. Protocols like Zcash are already providing the same for financial transactions but lacks flexibility required to apply in most of the potential use cases of blockchain. Most of the real world application work in a way where a transaction is carried out when a particular action is performed. Also, the zero knowledge proof method used in Zcash, ZKSNARK has certain weaknesses restricting its adoption. One of the major drawbacks of ZKSNARK is that it requires an initial trust setup phase which is difficult to achieve in blockchain ecosystem. ZKSTARK, an interactive zero knowledge proof does not require this phase and also provides security against post quantum attacks. We propose a system that uses two indistinguishable hash functions along with ZKSTARK to improve the flexibility of blockchain platforms. The two indistinguishable hash functions are chosen from SHA3-finalists based on their security, performance and inner designs.","PeriodicalId":249139,"journal":{"name":"2019 5th International Conference on Advanced Computing & Communication Systems (ICACCS)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126732321","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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