2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)最新文献_第7页

Towards an Effective Intrusion Detection System using Machine Learning techniques: Comprehensive Analysis and Review 利用机器学习技术实现有效的入侵检测系统:综合分析与回顾

2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) Pub Date : 2021-09-03 DOI: 10.1109/icrito51393.2021.9596369

S. Gupta, Meenakshi Tripathi, J. Grover

引用次数: 1

Antenna Array System with Enhanced Gain Using Cross Dipole for the LTE 基于交叉偶极子的LTE增益增强天线阵列系统

2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) Pub Date : 2021-09-03 DOI: 10.1109/icrito51393.2021.9596151

Mohd Wasim, Shelej Khera

引用次数: 1

Detection of Corn Gray Leaf Spot Severity Levels using Deep Learning Approach 利用深度学习方法检测玉米灰斑严重程度

2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) Pub Date : 2021-09-03 DOI: 10.1109/icrito51393.2021.9596540

Anupam Baliyan, V. Kukreja, Vikas Salonki, K. Kaswan

引用次数: 2

A Qualitative and Quantitative Parametric Estimation of the Ethereum and TRON Blockchain Networks 以太坊和波场区块链网络的定性和定量参数估计

2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) Pub Date : 2021-09-03 DOI: 10.1109/icrito51393.2021.9596420

J. Yadav, N. Yadav, A. Sharma

引用次数: 1

Design and Development of Ultra-Violet Light Disinfectant Robot 紫外线消毒机器人的设计与研制

2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) Pub Date : 2021-09-03 DOI: 10.1109/icrito51393.2021.9596288

A. Rai, Shylaja C, Tanya Singh, Shrey M. Trivedi

{"title":"Design and Development of Ultra-Violet Light Disinfectant Robot","authors":"A. Rai, Shylaja C, Tanya Singh, Shrey M. Trivedi","doi":"10.1109/icrito51393.2021.9596288","DOIUrl":"https://doi.org/10.1109/icrito51393.2021.9596288","url":null,"abstract":"The flare-up of COVID-19 has now gotten a pandemic. The new Covid 19 has influenced almost landmasses; at the hour of composing, South Korea, Iran, USA, Italy, Britain, India and other European nations have encountered sharp expansions in analyzed cases. Worldwide exertion is thusly needed to break the chains of infection transmission. For infection avoidance, robot-controlled noncontact bright (UV) surface disinfection is being utilized in light of the fact that COVID-19 spreads not just from one individual to another through close contact respiratory drop move yet in addition by means of defiled surfaces. The point of the current work is to contribute in the battle against the spread of Covid 19. In this examination, we have embraced the actual disinfection strategy by utilizing UVC light as specialist. The UVC gadgets are examined and characterized concurring their sanitizer units, reciprocal gadgets, consolidated disinfection specialists, portability, and request types. Our discovering shows that a versatile robot is the most productive gadget to inactivate microorganisms, so we have built up a robot called UVC Robot. The robot is furnished with an UVC light. This light is fixed on a moving robot that is constrained by an android portable application through a Bluetooth gadget. UVC robot cleans rooms and gear with bright light. The robot can kill approx. 99.99% microbes and infection through UVC lights drove.","PeriodicalId":259978,"journal":{"name":"2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127750540","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

Workflow Automation of Routing Rules in the Accounting Process for Online Travel Agency 在线旅行社会计流程中路由规则的工作流自动化

2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) Pub Date : 2021-09-03 DOI: 10.1109/icrito51393.2021.9596274

Mamta Nanda, Ashok Kumar

引用次数: 0

Consumer Characteristics and Consumption Patterns of Soft Drinks 软饮料消费者特征与消费模式

2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) Pub Date : 2021-09-03 DOI: 10.1109/icrito51393.2021.9596207

S. Sinha, Deepti Sinha, Neetu Mittal

{"title":"Consumer Characteristics and Consumption Patterns of Soft Drinks","authors":"S. Sinha, Deepti Sinha, Neetu Mittal","doi":"10.1109/icrito51393.2021.9596207","DOIUrl":"https://doi.org/10.1109/icrito51393.2021.9596207","url":null,"abstract":"A soft drink is generally treated as very common product aimed at a very casual consumption. Normally, not much of attention is paid to this product, which has almost become ‘commoditized’. But, a deeper and more careful observation would reveal that soft drinks are strong demographic descriptors of their consumers. Key insights into the characteristics and consumption patterns of consumers can be obtained through an incisive study of the soft drinks market. This research paper makes a concerted effort at unearthing the demographic details and consumption contours of the soft drink users in Kanpur, Agra, Varanasi, Allahabad, and Lucknow - the five representative cities of Uttar Pradesh, the most populous state of India. It has been conclusively established through this research that the residents of these five cities - which are demographically similar in nature - exhibit varying consumption patterns when it comes to soft drinks. It was also found that demographic variables like age, gender, educational qualification, income, and marital status do not significantly impact the consumption of soft drinks, whereas employment status is a key influencer of the same.","PeriodicalId":259978,"journal":{"name":"2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116587637","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

Fake News Detection Using Intelligent Techniques 利用智能技术检测假新闻

2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) Pub Date : 2021-09-03 DOI: 10.1109/icrito51393.2021.9596438

A. Vora, N. Shekokar

引用次数: 3

A Novel Technique to Detect the Hotspots in Swine Flu Effected Regions 猪流感疫区热点检测新技术

2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) Pub Date : 2021-09-03 DOI: 10.1109/icrito51393.2021.9596422

P. Nagaraj, A. K. Prasad

引用次数: 2

AI & ML Based Anamoly Detection and Response Using Ember Dataset 基于Ember数据集的异常检测和响应

2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) Pub Date : 2021-09-03 DOI: 10.1109/icrito51393.2021.9596451

Viraj Rathod, C. Parekh, Dharati Dholariya

{"title":"AI & ML Based Anamoly Detection and Response Using Ember Dataset","authors":"Viraj Rathod, C. Parekh, Dharati Dholariya","doi":"10.1109/icrito51393.2021.9596451","DOIUrl":"https://doi.org/10.1109/icrito51393.2021.9596451","url":null,"abstract":"In the era of rapid technological growth, malicious traffic has drawn increased attention. Most well-known offensive security assessment todays are heavily focused on pre-compromise. The amount of anomalous data in today's context is massive. Analyzing the data using primitive methods would be highly challenging. Solution to it is: If we can detect adversary behaviors in the early stage of compromise, one can prevent and safeguard themselves from various attacks including ransomwares and Zero-day attacks. Integration of new technologies Artificial Intelligence & Machine Learning with manual Anomaly Detection can provide automated machine-based detection which in return can provide the fast, error free, simplify & scalable Threat Detection & Response System. Endpoint Detection & Response (EDR) tools provide a unified view of complex intrusions using known adversarial behaviors to identify intrusion events. We have used the EMBER dataset, which is a labelled benchmark dataset. It is used to train machine learning models to detect malicious portable executable files. This dataset consists of features derived from 1.1 million binary files: 900,000 training samples among which 300,000 were malicious, 300,000 were benevolent, 300,000 un-labelled, and 200,000 evaluation samples among which 100K were malicious, 100K were benign. We have also included open-source code for extracting features from additional binaries, enabling the addition of additional sample features to the dataset.","PeriodicalId":259978,"journal":{"name":"2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122796170","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