2021 First International Conference on Advances in Computing and Future Communication Technologies (ICACFCT)最新文献_第4页

Metamorphic Cryptography using 8-Way Dynamic DNA Sequencing & KIMLA Method 利用8路动态DNA测序和KIMLA方法的变质密码

2021 First International Conference on Advances in Computing and Future Communication Technologies (ICACFCT) Pub Date : 2021-12-16 DOI: 10.1109/icacfct53978.2021.9837376

Ritima Tripathi, Lokendra Singh Umarao, Abhinandan Tripathi

引用次数: 0

Improved Image Encryption Technique for Reversible Data Hiding using Binary Block Embedding 基于二进制块嵌入的改进图像加密技术的可逆数据隐藏

2021 First International Conference on Advances in Computing and Future Communication Technologies (ICACFCT) Pub Date : 2021-12-16 DOI: 10.1109/icacfct53978.2021.9837358

Subodh Kumar, Rajendra Kumar

引用次数: 0

Designing A Secure Vehicular Internet of Things (IoT) using Blockchain: A Review 使用区块链设计安全的车辆物联网(IoT):综述

2021 First International Conference on Advances in Computing and Future Communication Technologies (ICACFCT) Pub Date : 2021-12-16 DOI: 10.1109/icacfct53978.2021.9837373

Atul Lal Shrivastava, Rajendra Kumar Dwivedi

{"title":"Designing A Secure Vehicular Internet of Things (IoT) using Blockchain: A Review","authors":"Atul Lal Shrivastava, Rajendra Kumar Dwivedi","doi":"10.1109/icacfct53978.2021.9837373","DOIUrl":"https://doi.org/10.1109/icacfct53978.2021.9837373","url":null,"abstract":"In the modern era developments in many technologies and customers’ ability to link gadgets such as cellphones to home PCs, the future of IoT is essentially infinite. Despite its growing popularity around the world, the Internet of Things (IoT) still has privacy and security concerns. There are enabling technologies for a variety of essential applications in the vehicular Internet of Things (IoT), such as collaborative automatic driving and enhanced transportation systems. Traditional centralized control fails to provide sufficient quality of service for connected vehicles, due to vehicle mobility, strict application requirements, and limited communication resources. It requires a decentralized approach to meet the needs of delay-sensitive and mission-critical applications. This paper presents a brief survey on Security in Vehicular Internet of Things using blockchain. In this paper, we are going to develop an understanding of the concept of blockchain technology as well as recent research advances. We are going to focus on how to adapt blockchain security to Internet of Vehicles in detail, as well as the available secure options.","PeriodicalId":312952,"journal":{"name":"2021 First International Conference on Advances in Computing and Future Communication Technologies (ICACFCT)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122274768","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: 9

Employing Unsupervised Learning Algorithm for Stock Market Analysis and Prediction 应用无监督学习算法进行股票市场分析与预测

2021 First International Conference on Advances in Computing and Future Communication Technologies (ICACFCT) Pub Date : 2021-12-16 DOI: 10.1109/icacfct53978.2021.9837372

Anurag Sinha, Pawan Mishra, Md. Ramish, Hassan Raza Mahmood, K. K. Upadhyay

引用次数: 3

Identification of Anxiety and Depression Using DASS-21 Questionnaire and Machine Learning 使用DASS-21问卷和机器学习识别焦虑和抑郁

2021 First International Conference on Advances in Computing and Future Communication Technologies (ICACFCT) Pub Date : 2021-12-16 DOI: 10.1109/icacfct53978.2021.9837365

Astha Singh, Divya Kumar

{"title":"Identification of Anxiety and Depression Using DASS-21 Questionnaire and Machine Learning","authors":"Astha Singh, Divya Kumar","doi":"10.1109/icacfct53978.2021.9837365","DOIUrl":"https://doi.org/10.1109/icacfct53978.2021.9837365","url":null,"abstract":"Identification or psychologically associated emotional activities through machine learning techniques and artificial intelligence is found to be widely explored in various research publications. Studies revealed the relevance of machine learning techniques along with artificial intelligence for the recognition of human emotions such as sadness, anger, happiness, etc. using datasets like face image, person video, audio, questionnaire-response, etc. Human emotions come from psychological activities that may he affected by outside daily life routines. The proposed study reveals the configuration of anxiety and depression symptoms from the questionnaire-based dataset. In the present manuscript, we have used the standard DASS-21 questionnaire for the identification of anxiety and depression by applying machine learning algorithms on the user responses. We have analyzed and presented the comparative performance or five classification algorithms i.e., SVM, Decision Trees, Random Forest, Naïve Bayes and KNN on the aforementioned problem of identification of users under Depression and Anxiety.","PeriodicalId":312952,"journal":{"name":"2021 First International Conference on Advances in Computing and Future Communication Technologies (ICACFCT)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127493219","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

Design of TFET with Ferroelectric Gate Material for Low Power Applications 用于低功耗应用的铁电栅极材料TFET的设计

2021 First International Conference on Advances in Computing and Future Communication Technologies (ICACFCT) Pub Date : 2021-12-16 DOI: 10.1109/icacfct53978.2021.9837374

Rituraj Kawale, Ankit Pachouri, Yogendra Pratap Singh, Lucky Agarwal

引用次数: 2

Crop Disease Classification Through Image Processing and Machine Learning Techniques Using Leaf Images 利用叶片图像进行图像处理和机器学习技术的作物病害分类

2021 First International Conference on Advances in Computing and Future Communication Technologies (ICACFCT) Pub Date : 2021-12-16 DOI: 10.1109/icacfct53978.2021.9837353

Vibhor Kumar Vishnoi, K. Kumar, B. Kumar

{"title":"Crop Disease Classification Through Image Processing and Machine Learning Techniques Using Leaf Images","authors":"Vibhor Kumar Vishnoi, K. Kumar, B. Kumar","doi":"10.1109/icacfct53978.2021.9837353","DOIUrl":"https://doi.org/10.1109/icacfct53978.2021.9837353","url":null,"abstract":"The role of the agriculture sector in global economic development is important. The development of agriculture and growth in production is essential for achieving global food security. Diseases in plants/crops are the responsible agents for the loss of agricultural production globally. Most of the diseases in plants initially strike the leaves of the plant, later its symptoms are evident on all parts of the plant. The diseases significantly affect the quality and quantity of total crop production. Typically, plant diseases are identified through visual observation or laboratory investigations by phytopathologists, but this is very challenging for farmers or non-specialists. Image processing and machine learning together can play an important role in helping farmers to identify the diseases in crops. The major steps in such methods generally include image acquisition, image pre-processing, image segmentation, feature extraction, and disease classification. This paper presents an analysis of some of the major classification techniques used in such methods. The experiments are carried out for two important crops Apple (Malus domestica) and Blackgram (Vigna mungo) to analyze baseline classifiers such as decision tree, naive Bayes, logistic regression, k-nearest neighbor, linear discriminant analysis, support vector machine, and random forest using plant leaf images. The leaf images of apple are taken from a benchmark PlantVillage dataset, while images of blackgram (urdbean) leaves are obtained from a self-prepared dataset. In both datasets, the leaf images contain a simple eliminated background.","PeriodicalId":312952,"journal":{"name":"2021 First International Conference on Advances in Computing and Future Communication Technologies (ICACFCT)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116357323","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

Performance Evaluation of a Hybrid Medium Access Control Protocol for Machine-to-Machine Networks 机器对机器网络混合介质访问控制协议的性能评估

2021 First International Conference on Advances in Computing and Future Communication Technologies (ICACFCT) Pub Date : 2021-12-16 DOI: 10.1109/icacfct53978.2021.9837337

Rohit Khatri, Ansh Verma, P. Verma, R. Verma

引用次数: 0

Wind Turbine Fed Dynamic Voltage Restorer Using Fuzzy Logic Controller for Voltage Disturbance Mitigation 基于模糊控制器的风力发电机馈动电压恢复器电压干扰抑制

2021 First International Conference on Advances in Computing and Future Communication Technologies (ICACFCT) Pub Date : 2021-12-16 DOI: 10.1109/icacfct53978.2021.9837378

Apoorva Srivastava, K. Kumar, Akhilesh Kr. Maurya

{"title":"Wind Turbine Fed Dynamic Voltage Restorer Using Fuzzy Logic Controller for Voltage Disturbance Mitigation","authors":"Apoorva Srivastava, K. Kumar, Akhilesh Kr. Maurya","doi":"10.1109/icacfct53978.2021.9837378","DOIUrl":"https://doi.org/10.1109/icacfct53978.2021.9837378","url":null,"abstract":"In order to mitigate disturbances in the distributed system the use of Dynamic Voltage Restorer plays a very important role. A DVR deployed in a wind system which is connected to the grid, is typically used to protect voltage across grid voltage swell and sag which behaves normally under nominal voltage condition across the grid. Therefore for improving DVR’s utilities, this paper proposes the correctness of swell and sag conditions for voltages across the grid, a wind farm is to be included in the DVR so that the same DVR is used to generate energy and fed to the grid from wind farm. The current model makes use of a wind turbine to power Dynamic Voltage Restorer fed by Permanent Magnet Synchronous Generator (WT-PMSG-DVR). The paper presents DVR with fuzzy logic controller which is connected across the wind systems. Propose technique like DVR design to compensate for disturbances in voltages like swell or sag for keeping the load voltages at the desired level. The performance of a traditional DVR topologies can be improved by using controlled strategies like FLC. Simulink modelling depicts use of wind system having DVR functioning in order to compensate for voltage variations. In a MATLAB/SIMULINK environment, performances in WT-PMSG-DVR with controlling techniques like FLC and traditional Proportional Integral (PI) controller was compared. Simulations show that when DVR is supplied from a wind farm, it performs better.","PeriodicalId":312952,"journal":{"name":"2021 First International Conference on Advances in Computing and Future Communication Technologies (ICACFCT)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126341216","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

Classification of Security Attacks in Healthcare and associated Cyber-harms 医疗安全攻击分类及相关网络危害

2021 First International Conference on Advances in Computing and Future Communication Technologies (ICACFCT) Pub Date : 2021-12-16 DOI: 10.1109/icacfct53978.2021.9837349

M. Aijaz, Mohammed Nazir, Malik Nadeem Anwar

引用次数: 2