2021 2nd International Conference on Computation, Automation and Knowledge Management (ICCAKM)最新文献_第6页

Prediction Performance of Crime Against Women Using Rule Based Decision Tree J48 Classification Algorithms in various states of India 在印度各邦使用基于规则的决策树J48分类算法预测针对妇女的犯罪行为

2021 2nd International Conference on Computation, Automation and Knowledge Management (ICCAKM) Pub Date : 2021-01-19 DOI: 10.1109/ICCAKM50778.2021.9357746

S. Lavanya, D. Akila

{"title":"Prediction Performance of Crime Against Women Using Rule Based Decision Tree J48 Classification Algorithms in various states of India","authors":"S. Lavanya, D. Akila","doi":"10.1109/ICCAKM50778.2021.9357746","DOIUrl":"https://doi.org/10.1109/ICCAKM50778.2021.9357746","url":null,"abstract":"Crimes against women be situated collective societal difficult distressing eminence of lifecycle in addition monetary development of a civilization. Through expanding violations, rule implementations organizations remain proceeding towards request propelled frameworks and new ways to deal with improving wrongdoing investigation and better ensure their networks. Rule Based Decision tree (RBDT J48) and Naive Bayesian algorithm functional happening framework of commandment implementation then cleverness investigation embraces capacity of improving problems. Information Mining stands method in the direction of citation information available, frequently huge record sets; the widest collection of machine learning solicitations consumes prepared this one significant field of exploration. Crime type stands progression intentions towards classify law-breaking individualities. Exploration measured improvement in wrongdoing expectation model utilizing Rule Based Decision Tree (RBDT J48) calculation and Naive bayes since it has been considered as the most effective AI calculation for a forecast of wrongdoing information. And furthermore think about the two distinctive grouping calculations to be specific, Naive bayes and Rule Based Decision Tree J48 for anticipating wrongdoing type for various states in India.","PeriodicalId":165854,"journal":{"name":"2021 2nd International Conference on Computation, Automation and Knowledge Management (ICCAKM)","volume":"220 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127736821","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

Heart atherosclerosis detection using FCM+kMeans Algorithm FCM+kMeans算法检测心脏动脉粥样硬化

2021 2nd International Conference on Computation, Automation and Knowledge Management (ICCAKM) Pub Date : 2021-01-19 DOI: 10.1109/ICCAKM50778.2021.9357719

V. Elangovan, A. Joe, D. Akila, K. Shankari, G. Suseendran

引用次数: 0

Laying the table from the cloud during Lockdown: Impact of Covid crisis on Cloud Kitchens in India 在封锁期间从云端摆放餐桌:新冠疫情对印度云厨房的影响

2021 2nd International Conference on Computation, Automation and Knowledge Management (ICCAKM) Pub Date : 2021-01-19 DOI: 10.1109/iccakm50778.2021.9357768

A. Maurya, G. Subramaniam, Sweta Dixit

引用次数: 2

Enhancement of Retinal Image by Hybrid Approach 混合方法增强视网膜图像

2021 2nd International Conference on Computation, Automation and Knowledge Management (ICCAKM) Pub Date : 2021-01-19 DOI: 10.1109/iccakm50778.2021.9357753

M. Kaur, A. Kamra

引用次数: 0

A Neuro-fuzzy based Medical Intelligent System for the Diagnosis of Hepatitis B 基于神经模糊的乙型肝炎智能诊断系统

2021 2nd International Conference on Computation, Automation and Knowledge Management (ICCAKM) Pub Date : 2021-01-19 DOI: 10.1109/ICCAKM50778.2021.9357765

Dalwinder Singh, Sahil Verma, Jimmy Singla

{"title":"A Neuro-fuzzy based Medical Intelligent System for the Diagnosis of Hepatitis B","authors":"Dalwinder Singh, Sahil Verma, Jimmy Singla","doi":"10.1109/ICCAKM50778.2021.9357765","DOIUrl":"https://doi.org/10.1109/ICCAKM50778.2021.9357765","url":null,"abstract":"Hepatitis B is an infection, which grows the deadly virus in the patients' liver. This severe infection will lead to the various deadly diseases that can infect the liver of an individual completely. Therefore, it is very crucial and become a necessity to detect or identify this Hepatitis B virus at the very first stage or at an introductory stage. by doing so, the life of an individual can be saved for good. Hence, the main purpose of this research effort is to propose an intelligent system that assists in the identification and diagnosis of the Hepatitis B virus in stage 1. This medical diagnostic system is proposed by using the neurofuzzy technique. The input variables or linguistic variables that are used in this study are HBsAg, Anti-HBs or HBsAb, Anti-HBc or HBcAb, HBV DNA and Anti-HBcAg-IgM. Similarly, the output variables of this system are no HBV, acute disease or chronic disease. This hybrid system has been developed by using software named as MATLAB. The diverse parameters that assist in the evaluation of performance are also determined by using the observed values from the proposed system. The accuracy with which the developed medical diagnostic system classifies the result corresponding to the given input is 95.55%.","PeriodicalId":165854,"journal":{"name":"2021 2nd International Conference on Computation, Automation and Knowledge Management (ICCAKM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131178085","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: 8

Enhancing Marketing Strategies and Analytics Through Artificial Intelligence 通过人工智能增强营销策略和分析

2021 2nd International Conference on Computation, Automation and Knowledge Management (ICCAKM) Pub Date : 2021-01-19 DOI: 10.1109/ICCAKM50778.2021.9357763

Anubhuti Gupta, Komal Tomar

{"title":"Enhancing Marketing Strategies and Analytics Through Artificial Intelligence","authors":"Anubhuti Gupta, Komal Tomar","doi":"10.1109/ICCAKM50778.2021.9357763","DOIUrl":"https://doi.org/10.1109/ICCAKM50778.2021.9357763","url":null,"abstract":"Marketing and marketing analytics are going through an evolution. In present scenario it is not at all acceptable to send out bulk email or to use mass communication to an entire customer list for any marketing campaign. Marketers today have understood that they need to be much more selective and to be more unique in their all dealings with customers. Customer journeys nowadays have become more dynamic than ever before. Hence, they require multitude of channels to deal with and want to understand the customer journey across them. Potential customers, they are dealing with are increasingly both tech savvy and data savvy. Marketers are more liable than ever to verify the value of marketing campaigns. Marketing analytic involves the technologies and processes marketers used to evaluate the outcome and value of their marketing initiatives. Marketing analytic gathers data from across all sources and marketing channels and coalesces into a single view, from which marketers extract analytical results, further used to evaluate performance of marketing initiatives and to identify opportunities for improvement.. In order to achieve this, marketers use advanced analytics focusing on customer behavior, customer intelligence and marketing optimization. This research paper centers around how AI can be connected to upgrade marketing analytics and marketing techniques to help organizations both better comprehend their customers and convey an incredible experience to them.. It likewise gives a model too to demonstrate on how associations can utilize what they may as of now be doing to wind up increasingly viable in advertising.","PeriodicalId":165854,"journal":{"name":"2021 2nd International Conference on Computation, Automation and Knowledge Management (ICCAKM)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124927032","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

Telecommunication & Networking � Changing Customer Profile & Preferences 电信和网络——改变客户档案和偏好

2021 2nd International Conference on Computation, Automation and Knowledge Management (ICCAKM) Pub Date : 2021-01-19 DOI: 10.1109/iccakm50778.2021.9357766

Anupam Mehrotra, S. Menon

{"title":"Telecommunication & Networking � Changing Customer Profile & Preferences","authors":"Anupam Mehrotra, S. Menon","doi":"10.1109/iccakm50778.2021.9357766","DOIUrl":"https://doi.org/10.1109/iccakm50778.2021.9357766","url":null,"abstract":"Over the last two and half decades, the Indian telecom industry has evolved rapidly. Beginning with the basic telephony provided by BSNL, a public sector company, the telecom industry today is not just for providing the calling facilities; it includes services like 3G, 4G, 5G broadband, Netflix, amazon-prime, online payment banks, 24 hour recharge facilities voicemail, ringtones, easy bill payment services and much more. Internet is just one of the important additions to the services. While many big players in the private sector came on the scene and disappeared, others struggled to survive through mergers, acquisitions and restructuring of the business models in the wake of competition. Sometime back Reliance Jio offered free Internet and Voice usage as pre � launch offer and grabbed the customer's attention. This all came as a big game changer in the telecom industry as customers have multiple options and the telephonic and data service providers face new challenges to cope up with the situation. It is estimated that a large number of new customers coming into the mobile fold come from the underprivileged geographies with sub-optimal telecommunication infrastructure and poor connectivity; their prime preference is for low call tariffs and several other value added services like information about markets, commodity prices, weather forecasts and the ability to transact business in their regional languages. The theme of the paper is to examine if the telecommunication industry is prepared to face and respond to changing customer perceptions, preferences and expectations.","PeriodicalId":165854,"journal":{"name":"2021 2nd International Conference on Computation, Automation and Knowledge Management (ICCAKM)","volume":"28 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122514631","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

Sharding Database for Fault Tolerance and Scalability of Data 分片数据库的数据容错性和可扩展性

2021 2nd International Conference on Computation, Automation and Knowledge Management (ICCAKM) Pub Date : 2021-01-19 DOI: 10.1109/iccakm50778.2021.9357711

Bahaa Mahmoud Abdelhafiz, M. Elhadef

{"title":"Sharding Database for Fault Tolerance and Scalability of Data","authors":"Bahaa Mahmoud Abdelhafiz, M. Elhadef","doi":"10.1109/iccakm50778.2021.9357711","DOIUrl":"https://doi.org/10.1109/iccakm50778.2021.9357711","url":null,"abstract":"In this paper, presenting the database system responsible for storing all this information scales have to be used to handle heavy loads. Database sharding is the process of segmenting the data into partitions that are spread on multiple database instances this is essentially to speed up query and scale the system. The sharding process that have database servers which takes the load of the request which are being sent into it, serve must have some kind of user id and each of the database is serve by one database server, with the advent of cloud computing, scaling database systems has become an affordable solution, making speed scaling, or horizontal distribution, a viable scalability option. If applications prefer standard relative database technology and have to Scale with mass data. Because sharding relevant databases in the public cloud is especially useful Used pay-per-view models, which already include licenses, and virtually unlimited high-speed delivery servers. Our goal is to create a catalog in the form of a database scalability pattern that involves accelerating data between database clusters nodes can be used using hash partitioning techniques to better balance loads between database servers. We intend to make the mapping between the scenario and its solution publicly available, to help developers identify when to adopt this model instead of other high-speed techniques.","PeriodicalId":165854,"journal":{"name":"2021 2nd International Conference on Computation, Automation and Knowledge Management (ICCAKM)","volume":"195 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115651475","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: 6

Incremental Multi-Feature Tensor Subspace Learning Based Smart Traffic Control System and Traffic Density Calculation Using Image Processing 基于增量多特征张量子空间学习的智能交通控制系统及基于图像处理的交通密度计算

2021 2nd International Conference on Computation, Automation and Knowledge Management (ICCAKM) Pub Date : 2021-01-19 DOI: 10.1109/iccakm50778.2021.9357743

G. Suseendran, D. Akila, D. Balaganesh, V. Elangovan, V. Vijayalakshmi

{"title":"Incremental Multi-Feature Tensor Subspace Learning Based Smart Traffic Control System and Traffic Density Calculation Using Image Processing","authors":"G. Suseendran, D. Akila, D. Balaganesh, V. Elangovan, V. Vijayalakshmi","doi":"10.1109/iccakm50778.2021.9357743","DOIUrl":"https://doi.org/10.1109/iccakm50778.2021.9357743","url":null,"abstract":"In times, urban centers are growing at a high rate. Growing with them is a road traffic jam. Traffic jams, especially at peak hours, became routine. As a result, traffic management is one of the foremost pressing issues in today's towns. Several alternatives are being sought to affect the matter. These include expanding road networks, regulating the number of vehicles on the roads, and deployment of Intelligent Transportation Systems (ITSs). Aside from the ITSs, the opposite alternatives (however significant) have many practical challenges in their implementation. ITSs have supported a good range of technologies like loop sensors and video surveillance systems. Vision-based ITSs have proved advantageous over the standard methods supported loop sensors. In these modern systems, video surveillance cameras are installed along the roads and road intersections where they're wont to collect traffic data. The info is then analyzed to get traffic parameters like road traffic density. This paper presents a comfortable and stylish approach for estimating the road traffic density during daytime using image processing and computer vision algorithms. The video data collected is first weakened into frames, which are then preprocessed during a series of steps. Finally, the vehicles are detected and extracted from the pictures and Density estimated. The traffic density is then obtained because of the number of vehicles per unit area of the road section. The proposed approach was implemented in MATLAB R2013a and average vehicle detection accuracy of 96.0% and 82.1% were achieved for fast-paced and slow-moving traffic scenes.","PeriodicalId":165854,"journal":{"name":"2021 2nd International Conference on Computation, Automation and Knowledge Management (ICCAKM)","volume":"PC-25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126676105","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

Key element in online education to activate students with real-time tools 在线教育的关键要素是用实时工具激活学生

2021 2nd International Conference on Computation, Automation and Knowledge Management (ICCAKM) Pub Date : 2021-01-19 DOI: 10.1109/ICCAKM50778.2021.9357714

V. Bakonyi, Z. Illés, C. Verma

引用次数: 4