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Proceedings of the Third International Conference on Advanced Informatics for Computing Research - ICAICR '19最新文献

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Question classification system for health care: a review 卫生保健问题分类系统综述
Proceedings of the Third International Conference on Advanced Informatics for Computing Research - ICAICR '19 Pub Date : 2019-06-15 DOI: 10.1145/3339311.3339341
Shubham Agrawal, N. Mishra
{"title":"Question classification system for health care: a review","authors":"Shubham Agrawal, N. Mishra","doi":"10.1145/3339311.3339341","DOIUrl":"https://doi.org/10.1145/3339311.3339341","url":null,"abstract":"When we want to analyze something we can search on Internet. Varied form of questions are available online but we are mostly used medical domain has many advantages as it can help us to answer the questions related to health. Answering System for Questions has gained considerable growth in which Question Classification has a major part. The various classification modes are Rule based, Machine learning and Hybrid. This paper presents the various research work done for classifying the questions for healthcare domain.","PeriodicalId":206653,"journal":{"name":"Proceedings of the Third International Conference on Advanced Informatics for Computing Research - ICAICR '19","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121040735","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}
引用次数: 4
Review on dental image based biometric system 基于牙齿图像的生物识别系统研究进展
Proceedings of the Third International Conference on Advanced Informatics for Computing Research - ICAICR '19 Pub Date : 2019-06-15 DOI: 10.1145/3339311.3339345
V. Chandran, Philomina Simon
{"title":"Review on dental image based biometric system","authors":"V. Chandran, Philomina Simon","doi":"10.1145/3339311.3339345","DOIUrl":"https://doi.org/10.1145/3339311.3339345","url":null,"abstract":"A biometric system uniquely identifies a person based on the features captured from the biometric data of that person. A dental biometric system identifies an individual based on their unique dental features obtained from the dental images. With the growth of latest technologies, forensic identification of humans is a vast growing research area. In Dental biometric system, initial step is to perform preprocessing and then to capture the features of dental image. In the final step segmentation and dental matching is done for person authentication. In this paper, we throw light into made to the latest contribution made to this research field. This paper also presents a general frame work of the dental biometric system and the reviews the research work and also considering the technological advancements in the dental biometric field.","PeriodicalId":206653,"journal":{"name":"Proceedings of the Third International Conference on Advanced Informatics for Computing Research - ICAICR '19","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122841898","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}
引用次数: 3
A comparative analysis of data collection methods in internet of things 物联网中数据采集方法的比较分析
Proceedings of the Third International Conference on Advanced Informatics for Computing Research - ICAICR '19 Pub Date : 2019-06-15 DOI: 10.1145/3339311.3339354
Sofia, Isha Batra, V. Verma, A. Malik
{"title":"A comparative analysis of data collection methods in internet of things","authors":"Sofia, Isha Batra, V. Verma, A. Malik","doi":"10.1145/3339311.3339354","DOIUrl":"https://doi.org/10.1145/3339311.3339354","url":null,"abstract":"With the increase in demand of Internet of Things using smart devices, different architectures are available for collecting the data in IoT platforms. Data collection phase is one of the most critical phase in the whole process of communication between device and human. Numerous data collection solutions were proposed in the literature. But still these existing solutions are lacking rationale and can be further improvised. Therefore, this paper conducts a detailed review on the existing methods for data collection. Later, a comparison is made among the existing concurrent tree method, low-density parity check code method and context awareness routing method in terms of their research objectives, techniques, input and output. Finally this paper evaluates the energy consumption, latency and storage requirements for different data collection methods. Results show that concurrent data collection tree method provides maximum storage, consumes more energy and possess less latency.","PeriodicalId":206653,"journal":{"name":"Proceedings of the Third International Conference on Advanced Informatics for Computing Research - ICAICR '19","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117311438","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}
引用次数: 1
Convolutional neural network based tracking for human following mobile robot with LQG based control system 基于卷积神经网络的人跟随移动机器人跟踪与LQG控制系统
Proceedings of the Third International Conference on Advanced Informatics for Computing Research - ICAICR '19 Pub Date : 2019-06-15 DOI: 10.1145/3339311.3339325
S. C. Gupta, J. Majumdar
{"title":"Convolutional neural network based tracking for human following mobile robot with LQG based control system","authors":"S. C. Gupta, J. Majumdar","doi":"10.1145/3339311.3339325","DOIUrl":"https://doi.org/10.1145/3339311.3339325","url":null,"abstract":"Visual object Tracking is one of the most challenging tasks in computer vision due to various complications like environmental clutter and object clutter. In this paper we propose the use of Masked RCNN and YoloV2 based CNN architecture to overcome the challenges of tracking and we have also compared their performance in real-time application on a Mobile Robot. The type of dataset required, and approach considered for each of the approach to increase the accuracy as well as implantability on real-time system is also discussed. A Skid Steer Mobile Robot (SSMR) is used to follow the human detected by the CNN algorithms. Te Robot Control is done by use of Linear Quadratic Gaussian Controller for velocity control.","PeriodicalId":206653,"journal":{"name":"Proceedings of the Third International Conference on Advanced Informatics for Computing Research - ICAICR '19","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121689201","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}
引用次数: 1
Investigating factors influencing scholastic execution at undergrad level using network analytics 运用网络分析法调查大学生学业执行力的影响因素
Proceedings of the Third International Conference on Advanced Informatics for Computing Research - ICAICR '19 Pub Date : 2019-06-15 DOI: 10.1145/3339311.3339319
N. Arora, Reena Jain, Vandana Gupta, Umang Aggarwal, Chetna Gupta, Mahima Kumari, Naina Chaudhary, Pankhuri Jain, Rekha Pal
{"title":"Investigating factors influencing scholastic execution at undergrad level using network analytics","authors":"N. Arora, Reena Jain, Vandana Gupta, Umang Aggarwal, Chetna Gupta, Mahima Kumari, Naina Chaudhary, Pankhuri Jain, Rekha Pal","doi":"10.1145/3339311.3339319","DOIUrl":"https://doi.org/10.1145/3339311.3339319","url":null,"abstract":"Study of relationships/interactions among students and teachers in structured learning environments have been a keen area of interests among educational analysts since decades. These relationships have been found to have direct as well as indirect impacts on the performance of students through varied interdisciplinary researches. The study presented in this paper is a novel application of Social Network Analytics to deeply understand and quantify direct or indirect relational impacts on undergrad level student's scholastic execution in India. Undergrad Computer Science students from a class of Kalindi College are surveyed to pull-together information on varied relational parameters of student-student and student-teacher relationships for generating varied networks and deep analytical analysis using specialized graph (network) analytic software `Gephi'. The quantitative results generated with the help of `Gephi' software successfully signaled significant relational aspects which have direct impact on students's performance. The generated results hence can be utilized in various ways to target specific issues beforehand with the sole aim to improve student's performance. The presented study displays a scope for substantial future research and can help in leading to fresh perspectives in handling relationships data for decision making and reframing educational policies for betterment.","PeriodicalId":206653,"journal":{"name":"Proceedings of the Third International Conference on Advanced Informatics for Computing Research - ICAICR '19","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115840150","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}
引用次数: 1
Fuzzy based medicine recommendation system: an example of thyroid medicine 基于模糊的药物推荐系统:以甲状腺药物为例
Proceedings of the Third International Conference on Advanced Informatics for Computing Research - ICAICR '19 Pub Date : 2019-06-15 DOI: 10.1145/3339311.3339346
P. Kumari, Shilpa Sharma
{"title":"Fuzzy based medicine recommendation system: an example of thyroid medicine","authors":"P. Kumari, Shilpa Sharma","doi":"10.1145/3339311.3339346","DOIUrl":"https://doi.org/10.1145/3339311.3339346","url":null,"abstract":"Many expert system or decision support system or recommendation system is developed to assist medical experts for better result and immediate result. Everyday there is new advancement comes into play with the help of Machine learning algorithms (neural network, Bayesian network) and data mining (clustering, classification) algorithms for effective prediction of disease like cancer, heart disease, diabetes and many more. Now, researchers using machine learning with datamining to automate the medicine recommendation. So, the risk of prescribing incorrect medicine can be decreased as many deaths comes in news are due to wrong medication or patients can have some allergies which medical experts don't know The motive of this work is to draft an Expert system for diagnosis of Thyroid disease as well as to prescribe medicine for the same. The system has 7 inputs and and on basis of these, two outputs are drawn which is disease and medicine The output field refers to the presence of thyroid disease in the patient as well as medicine according to level of disease.","PeriodicalId":206653,"journal":{"name":"Proceedings of the Third International Conference on Advanced Informatics for Computing Research - ICAICR '19","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114832161","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}
引用次数: 5
A stratified RR model using the polya's URN process 使用polya的URN过程的分层RR模型
Proceedings of the Third International Conference on Advanced Informatics for Computing Research - ICAICR '19 Pub Date : 2019-06-15 DOI: 10.1145/3339311.3339318
T. A. Tarray, Zahoor Ahmad, Baziga Youssuf
{"title":"A stratified RR model using the polya's URN process","authors":"T. A. Tarray, Zahoor Ahmad, Baziga Youssuf","doi":"10.1145/3339311.3339318","DOIUrl":"https://doi.org/10.1145/3339311.3339318","url":null,"abstract":"Taking the clue from the pioneering work of [1] we have advocated an innovative stratified RR ideal. The belongings of the succumbed stratified RR ideal have been studied under proportional and \"Neyman\" allocations. Numerical illustrations are also given in provision of the current reading.","PeriodicalId":206653,"journal":{"name":"Proceedings of the Third International Conference on Advanced Informatics for Computing Research - ICAICR '19","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116332323","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}
引用次数: 1
A review: intelligent load prediction techniques for CloudIoT 综述:CloudIoT智能负荷预测技术
Proceedings of the Third International Conference on Advanced Informatics for Computing Research - ICAICR '19 Pub Date : 2019-06-15 DOI: 10.1145/3339311.3339342
Shveta Verma, A. Bala
{"title":"A review: intelligent load prediction techniques for CloudIoT","authors":"Shveta Verma, A. Bala","doi":"10.1145/3339311.3339342","DOIUrl":"https://doi.org/10.1145/3339311.3339342","url":null,"abstract":"Cloud Computing technology has intense effects for delivery of various internet based applications that can strongly influence today's life. CloudIoT provides on demand storage, infrastructure and processing capability for the deployment of smart controls, e-health, smart cities, concurrent engineering applications, etc. So, due to the intrinsic nature and dynamic demand of resources, intelligent techniques need to be reviewed for above said applications in CloudIoT. Therefore, in this paper, intelligent load prediction techniques such as time-series forecasting techniques and machine learning have been reviewed in terms of load prediction by deliberating the state-of-the-art. This review would also be useful for proactive prediction of resources as per the applications deployment.","PeriodicalId":206653,"journal":{"name":"Proceedings of the Third International Conference on Advanced Informatics for Computing Research - ICAICR '19","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131223068","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}
引用次数: 1
Novel algorithm for software planning & development 软件规划与开发的新算法
Proceedings of the Third International Conference on Advanced Informatics for Computing Research - ICAICR '19 Pub Date : 2019-06-15 DOI: 10.1145/3339311.3339315
G. Saini, S. Dubey, S. K. Bharti
{"title":"Novel algorithm for software planning & development","authors":"G. Saini, S. Dubey, S. K. Bharti","doi":"10.1145/3339311.3339315","DOIUrl":"https://doi.org/10.1145/3339311.3339315","url":null,"abstract":"A software project has a complete process of developing software from requirement specification to its implementation and maintenance, which is carried out as per the execution methodology to get the desired software product. The scope of a software project is the requirements specified by the user for the results and being a fundamental step of project life cycle if these requirements are not specified accurately, it will lead to the creation of a software product that does not fit the user's need and results in project failure. This research paper presents a fuzzy-based approach for prioritizing and dividing the requirements such that it brings efficiency in software development and contributes to a project success as well as in the improvement of project management. For the development of an efficient project deliverable, the paper presents a model based on fuzzy logic, which helps in assigning weights to the requirements such that they can be serialized or run in parallel, and can reduce the duration of development. The process of stable allocation of resources to the project's module will be efficient towards the effective completion of work. The collaborative efforts made at the initial stage of project life cycle will help in reducing the risk of failure in project development process.","PeriodicalId":206653,"journal":{"name":"Proceedings of the Third International Conference on Advanced Informatics for Computing Research - ICAICR '19","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126957617","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}
引用次数: 3
Prediction on diabetes patient's hospital readmission rates 糖尿病患者再入院率预测
Proceedings of the Third International Conference on Advanced Informatics for Computing Research - ICAICR '19 Pub Date : 2019-06-15 DOI: 10.1145/3339311.3339349
Abhishek Sharma, Prateek Agrawal, Vishu Madaan, Shubham Goyal
{"title":"Prediction on diabetes patient's hospital readmission rates","authors":"Abhishek Sharma, Prateek Agrawal, Vishu Madaan, Shubham Goyal","doi":"10.1145/3339311.3339349","DOIUrl":"https://doi.org/10.1145/3339311.3339349","url":null,"abstract":"Hospital Readmission is considered as an effective measurement of service and care provided within the hospital. Emergency readmission to hospital is frequently used as a measure of the quality of a hospital because a high proportion of readmissions should be preventable if the preceding care is adequate. The objective of this study to develop a model to predict 30-day hospital readmission. We have data of 1-lac diabetes patients with 50 features. We used machine learning algorithms: Logistic Regression, Decision Tree, Random Forest, Adaboost and XGBoost for prediction. We achieved the highest accuracy 94% using Random forest among all other algorithms. The results from this study are encouraging and can help healthcare providers to improve their services.","PeriodicalId":206653,"journal":{"name":"Proceedings of the Third International Conference on Advanced Informatics for Computing Research - ICAICR '19","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127568574","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}
引用次数: 11
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