2021 IEEE International Conference on Technology, Research, and Innovation for Betterment of Society (TRIBES)最新文献

WordNet Based Hybrid Model for Query Expansion 基于WordNet的混合查询扩展模型

2021 IEEE International Conference on Technology, Research, and Innovation for Betterment of Society (TRIBES) Pub Date : 2021-12-17 DOI: 10.1109/tribes52498.2021.9751671

A. Shukla, Sujoy Das, Pushpendra Kumar

引用次数: 2

Predictive Performance Analysis of Ensemble Learners on BCD Dataset 基于BCD数据集的集成学习器预测性能分析

2021 IEEE International Conference on Technology, Research, and Innovation for Betterment of Society (TRIBES) Pub Date : 2021-12-17 DOI: 10.1109/tribes52498.2021.9751648

G. S. Lalotra, Vinod Kumar, D. Rajput

引用次数: 1

QoS Aware Resource Scheduling in LTE Network for Smart City M2M Communication 面向智慧城市M2M通信的LTE网络QoS感知资源调度

2021 IEEE International Conference on Technology, Research, and Innovation for Betterment of Society (TRIBES) Pub Date : 2021-12-17 DOI: 10.1109/tribes52498.2021.9751661

P. K. Baheti, A. Khunteta

{"title":"QoS Aware Resource Scheduling in LTE Network for Smart City M2M Communication","authors":"P. K. Baheti, A. Khunteta","doi":"10.1109/tribes52498.2021.9751661","DOIUrl":"https://doi.org/10.1109/tribes52498.2021.9751661","url":null,"abstract":"Machine-to-machine (M2M) communications, also referred to as machine-type communications (MTC), is the cornerstone of the Internet of Things (IoT) and refers to the communication of smart devices in mobile networks without the need for human interaction. Fourth Generation (4G) Long Term Evolution (LTE) and Long Term Evolution Advanced (LTE-A) infrastructure are now anticipated to be among the promising mobile technology for delivering direct access. This work focuses on smart city MTC. We evaluate a simulated M2M application model for smart city services and applications using intelligently networked streetlights and analyzed packet loss rate (PLR), packet delay budget (PDB), and average delay estimation for huge MTC over mobile networks. The smart streetlight is transformed into a sensor node with multiple sensors competent in gathering and conveying real-time data. Sensors and wireless connectivity are included in a smart streetlight. So every intelligent streetlight node is expected to operate several basic control system services, including mission-critical implementations with stringent requirements criteria of reliability and latency, focusing on cameras for vehicular traffic monitoring.","PeriodicalId":337344,"journal":{"name":"2021 IEEE International Conference on Technology, Research, and Innovation for Betterment of Society (TRIBES)","volume":"272 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116436045","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: 0

Study and Analysis of an Approach Towards the Classification of Tooth Wear in Dentistry Using Machine Learning Technique 基于机器学习技术的牙磨耗分类方法研究与分析

2021 IEEE International Conference on Technology, Research, and Innovation for Betterment of Society (TRIBES) Pub Date : 2021-12-17 DOI: 10.1109/tribes52498.2021.9751650

Priyanka Jaiswal, S. Bhirud

{"title":"Study and Analysis of an Approach Towards the Classification of Tooth Wear in Dentistry Using Machine Learning Technique","authors":"Priyanka Jaiswal, S. Bhirud","doi":"10.1109/tribes52498.2021.9751650","DOIUrl":"https://doi.org/10.1109/tribes52498.2021.9751650","url":null,"abstract":"In current decades, an automatic detection system in healthcare field is an emergent research area. Extensive use of machine learning and deep learning algorithms can be observed in fields of medicine. A lot of research work is done in medicine but some area of oral health care in still unexplored. The emphasis is given to this field only because it is a difficult mission, due to the shortage of precise data available in dentistry for diagnosis and prediction. In this paper, an approach towards the diagnosis, prediction, and classification of oral health diseases in dentistry is implemented and discussed with the help of machine learning techniques on the self-created dataset. Dental tooth wear is considered for evaluation with its different sub categories. Mainly tooth wear is multifactorial situation, leading to the loss of dental hard tissues. Physiological enamel wears is slow process that usually does not lead to any subjective symptoms. When situation progresses periodically, it becomes difficult to restore it to normal phase easily. So to prevent this loss experimentation is performed to diagnose, classify and predict disease at an early stage. This experimentation is done by using several machine learning algorithms and its performance evaluation is done.","PeriodicalId":337344,"journal":{"name":"2021 IEEE International Conference on Technology, Research, and Innovation for Betterment of Society (TRIBES)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115876492","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

Transforming Ontology from CSV file and Relational Databases: A Methodology 从CSV文件和关系数据库转换本体:一种方法

2021 IEEE International Conference on Technology, Research, and Innovation for Betterment of Society (TRIBES) Pub Date : 2021-12-17 DOI: 10.1109/tribes52498.2021.9751669

Deepak Vats, Avinash Sharma

引用次数: 2

Cyber Risk Management in Power Grid System 电网系统中的网络风险管理

2021 IEEE International Conference on Technology, Research, and Innovation for Betterment of Society (TRIBES) Pub Date : 2021-12-17 DOI: 10.1109/tribes52498.2021.9751657

Prasad Bhingarde, U. Pujeri

{"title":"Cyber Risk Management in Power Grid System","authors":"Prasad Bhingarde, U. Pujeri","doi":"10.1109/tribes52498.2021.9751657","DOIUrl":"https://doi.org/10.1109/tribes52498.2021.9751657","url":null,"abstract":"Rapid expansion at smart grids on conjunction with IOT devices has resulted in security flaws, allowing attackers to launch attacks for variety of reasons. IOT has played major role to control electric application anywhere from the world. Number of devices are now connected with it. It can be applied to control variety of electric application like TV, AC, geyser etc. Wireless technology can be used to control all devices where all devices are centrally connected to IOT. The basic idea of cyber risk management is to identify the type of the risk and to propose a strategy to handle the risk according to its type. Different author has proposed different method to analyse and manage cyber risk present in the power grid system. Author has used various methods and algorithms like probability response model, Ensemble prediction algorithm based on Time Series (EPABT), characteristics of protection system product, Multiarmed bandit approach and Integration of Electricity and Gas System (IEGS) method. The probability response model works according to response values of the particular risk. Probability of the risk may vary according to its type. Various methods and algorithms are used to calculate and analyse the risk present in the power grid system. EPABT works according to log types. Characteristics of protection system product get varied as per their use. Multiarmed bandit approach is worked according to the attack behaviour. The IEGS method mainly focus on the false data injection attack. This method is useful against malicious cyber-attack while using the renewable energy. After analysing the various algorithm and approaches it is found that every approach has its own advantages and disadvantages. Hence research is needed to develop a system which could be used to manage the risk in power grid system with more accuracy","PeriodicalId":337344,"journal":{"name":"2021 IEEE International Conference on Technology, Research, and Innovation for Betterment of Society (TRIBES)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130082122","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: 0

Dynamic Device-centric Fog Networks Architecture for Cellular Communication System 蜂窝通信系统中以设备为中心的动态雾网络体系结构

2021 IEEE International Conference on Technology, Research, and Innovation for Betterment of Society (TRIBES) Pub Date : 2021-12-17 DOI: 10.1109/tribes52498.2021.9751662

S. K. Biswash

引用次数: 0

Hybrid Security Mechanism to Enhance the Security and Performance of IoT System 提高物联网系统安全性和性能的混合安全机制

2021 IEEE International Conference on Technology, Research, and Innovation for Betterment of Society (TRIBES) Pub Date : 2021-12-17 DOI: 10.1109/tribes52498.2021.9751455

Sakshi Anand, Avinash Sharma

{"title":"Hybrid Security Mechanism to Enhance the Security and Performance of IoT System","authors":"Sakshi Anand, Avinash Sharma","doi":"10.1109/tribes52498.2021.9751455","DOIUrl":"https://doi.org/10.1109/tribes52498.2021.9751455","url":null,"abstract":"Research has centred on the security of IoT system by orchestrating cryptography, packet filtering, user defined port and packet compression mechanism. It has been espied that there have been numerous researches that have posed security by making use of cryptography approach. But this approach is not checking the intruders or unauthentic data transmission. It only safeguards the data from getting into wrong hands. It makes data non comprehensible for unauthorized person but could not protect it from being ruined or altered. On other hand packet filtering and IP filtering has deterred such intruders but cryptography was overlooked. Some researchers did integrate aforementioned approaches but the overall performance was degraded. One of the major reasons for the reduction of performance is that a lot of time is consumed in transmission of data when cryptographic and packet filtering operations are performed together. Thus, the proposed research is making use of packet compression technique along with packet filter and cryptographic approach. Moreover, adding an extra layer of security, the proposed work made use of user defined ports because predefined ports might be accountable for unsecure transmissions.","PeriodicalId":337344,"journal":{"name":"2021 IEEE International Conference on Technology, Research, and Innovation for Betterment of Society (TRIBES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134299927","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

Utilizing Location-based Social Networking to Suggest Travel Paths and Places of Interest 利用基于位置的社交网络建议旅行路径和感兴趣的地方

2021 IEEE International Conference on Technology, Research, and Innovation for Betterment of Society (TRIBES) Pub Date : 2021-12-17 DOI: 10.1109/tribes52498.2021.9751660

K. Mohbey, Gaurav Meena, Ajay Indian

{"title":"Utilizing Location-based Social Networking to Suggest Travel Paths and Places of Interest","authors":"K. Mohbey, Gaurav Meena, Ajay Indian","doi":"10.1109/tribes52498.2021.9751660","DOIUrl":"https://doi.org/10.1109/tribes52498.2021.9751660","url":null,"abstract":"Location-based social networks (LBSN) allow users to publish their locations and offer their thoughts on interesting areas to visit. These recommendations can then be made to other users based on these viewpoints. The goal of a recommendation system is to provide lists of places and packages that closely fit the user’s preferences. There is an important feature for location networks that rewards customers for visiting their favourite POIs, such as a shopping mall or a restaurant. Recommendations are produced with the user’s desire, choice, and space-time problem or difficulty in mind. Various methods, such as the trip path planning technique, were developed to create a travel package. We created a prototype system that anticipates users’ travel needs and produces package tours with several POIs and their visiting sequence. Furthermore, this study provides the top k fascinating locations to visit. All of these recommendations are based on the users’ preferences. The experiments are carried out on well-known LSBN datasets such as Gowalla.","PeriodicalId":337344,"journal":{"name":"2021 IEEE International Conference on Technology, Research, and Innovation for Betterment of Society (TRIBES)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123567581","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: 0

IWePam - Intelligent Warehouse Environmental Parameters Analysis and Monitoring 智能仓库环境参数分析与监测

2021 IEEE International Conference on Technology, Research, and Innovation for Betterment of Society (TRIBES) Pub Date : 2021-12-17 DOI: 10.1109/tribes52498.2021.9751634

H. P, S. P, V. S, Lok Sai Manohar. S, R. P

{"title":"IWePam - Intelligent Warehouse Environmental Parameters Analysis and Monitoring","authors":"H. P, S. P, V. S, Lok Sai Manohar. S, R. P","doi":"10.1109/tribes52498.2021.9751634","DOIUrl":"https://doi.org/10.1109/tribes52498.2021.9751634","url":null,"abstract":"Many factors like dust, pest, loss of moisture, aging, decay, rodents, insects, fire affect the goods stored in the warehouses. In India usually, store managers are responsible for monitoring and measuring all these environmental factors manually to ensure safety. As there is manual monitoring involved, there is a chance of errors and delays. By integrating Light sensor, Air Quality sensor, Smoke sensor, Flammable gases sensor, Rain sensor, IR sensor, PIR sensor for motion detection, LDR sensor, Low-power camera sensor for thermal image sensing, humidity, and temperature sensors into the warehouse, warehouse members can detect the dust, pest, rodents, insects, chance of fire accidents inside the storage area. Intelligent warehouse environmental parameters analysis and monitoring system collects the data and it will send the data to the Blynk cloud. It will analyse the data inside the cloud. After analyzing the data, it will visualise this data onto a platform so that the warehouse managers can easily monitor and visualise the warehouse's environmental parameters and take precautions if necessary.","PeriodicalId":337344,"journal":{"name":"2021 IEEE International Conference on Technology, Research, and Innovation for Betterment of Society (TRIBES)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125921810","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: 0