检索结果-内蒙古大学图书馆

Applications of Flying Ad-hoc Network During COVID-19 Pandemic

IOP Conference Series: Materials science and engineering 2021年第1期1099卷

作者： Manisha Devi Sunil Kumar Maakar Deepak Sinwar Mahesh Jangid Poonam Sangwan Scholar Department of Computer Science and Engineering BRCM College of Engineering and Technology Bahal Haryana India Assistant Professor Department of Computer Science and Engineering BRCM College of Engineering and Technology Bahal Haryana India Assistant Professor Department of Computer and Communication Engineering Manipal University Jaipur Dehmi Kalan Jaipur Rajasthan India Associate Professor Department of Computer Science and Engineering Manipal University Jaipur Dehmi Kalan Jaipur Rajasthan India Assistant Professor Department of Chemistry Government College Hisar Haryana India

The 2019 novel coronavirus (2019-nCoV), with a beginning stage in Wuhan (China), has spread quickly among people living in different nations and has affected more than 6 million lives. Researchers around the globe are trying to device a solution in the form of the vaccine but unfortunately, till date, there is no full-proof vaccine for 2019-nCoV. Most of the countries are adopting prolonged lockdown and social distancing strategies to counter this pandemic. Flying Ad-hoc Network (FANET) on the other hand, can provide several services such as the delivery of essential items, disinfecting common areas, surveillance, traffic monitoring, communication, temperature monitoring, etc. Availing such services using FANETs during Corona Virus Disease (COVID-19) outbreak is like a boon that can minimize the general problems of mankind to some extent during lockdowns. Nowadays, it is foremost required to deploy solutions that can automate the process of availing several services using FANETs and the same is attracting researchers in great demand. This paper has presented a brief survey of several applications of FANETs (especially UAVs and Drones) that can facilitate mankind in coping with the general problems during COVDI-19 outbreak and subsequent lockdowns. We hope that this survey has covered most of the applications of UAVs and can provide new insights into the research community.

关键词：

来源：评论

学校读者我要写书评

暂无评论

An Automated Optimize Utilization of Water and Crop Monitoring in Agriculture Using IoT

引用

IOP Conference Series: Materials science and engineering 2021年第1期1131卷

作者： Sanwta Ram Dogiwal Pankaj Dadheech Ankit Kumar Linesh Raja Abhishek Kumar Mahender Kumar Beniwal Associate Professor Department of Information Technology Swami Keshvanand Institute of Technology Management & Gramothan Jaipur Rajasthan India Associate Professor Department of Computer Science & Engineering Swami Keshvanand Institute of Technology Management & Gramothan Jaipur Rajasthan India Assistant Professor Department of Computer Science & Engineering Swami Keshvanand Institute of Technology Management & Gramothan Jaipur Rajasthan India Assistant Professor Department of Computer Applications Manipal University Jaipur Rajasthan India Assistant Professor Department of Computer Science & IT Jain (Deemed to be University) Bangalore India

AI Solution for Farmers is an agricultural based project, created to help farmers and to help them in increasing their productivity. Since the technologies are running the world, why agriculture must be deprived of it. Agriculture is one of the most important areas that have major impacts on the economy and society of a country. Technological developments serve as tools to share knowledge and practices of agricultural products and make more satisfactory lives for farmers, traders, policymakers, and the overall society. It is evident that knowledge has become a crucial component in production, society, food security, health, poverty, and other millennium development goals. The use of technology may provide a better approach to solve the problems arising from sowing the seed to harvest the crop. The new technologies like Machine Learning and Data science may be great help to have an eye on the deciding factors to the growth of crop.

关键词：

来源：评论

学校读者我要写书评

暂无评论

(CSM2-RA-R2-TI): Cyber Security Maturity Model for Risk Assessment Using Risk Register for Threat Intelligence

引用

Journal of Physics: Conference Series 2021年第1期2040卷

作者： B Lakshmi Prasanna M SaidiReddy Research Scholar Department of Computer Science and Engineering Koneru Lakshmaiah Education Foundation Hyderabad Telangana India. Assistant Professor Department of Computer Science RBVRR Women's College Hyderabad Telangana India. Associate Professor Department of Computer Science and Engineering Koneru Lakshmaiah Education Foundation Hyderabad Telangana India.

Because of the growing frequency sophistication, and severity of cyber security attacks, all businesses should ensure that cyber security risk is properly addressed in their enterprise risk management (ERM) programs. Risk Management, agreeing with the NIST Guide 8286 is the arrangement of 'composed exercises to direct and control an association concerning risk'. NISTIR 8286 characterizes a system and framework for hazard the executives. In any case, executing this norm without an in-depth plan can turn into a risk on associations. This paper provides a capability maturity model for risk assessment for threat intelligence using a risk register. This model helps the organization as reference and set clear path to survey risk assessments in accordance with latest threats.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Optimized Sequential model for Plant Recognition in Keras

引用

IOP Conference Series: Materials science and engineering 2021年第1期1022卷

作者： Shilpi Aggarwal Madhulika Bhatia Rosy Madaan Hari Mohan Pandey Faculty of Engineering and Technology ManavRachna International Institute of Research and Studies Faridabad (Haryana) India Associate Professor Department of Computer Science Engineering Amity University Noida (Uttar Pradesh) India Associate Professor Faculty of Engineering and Technology ManavRachna International Institute of Research and Studies Faridabad (Haryana) India Department of Computer Science Edge Hill University Lancashire United Kingdom

There are huge varieties of floras in the world. Lots of varieties of species are beneficial to the human's life. Plant recognition is a very important task to segregate the huge amount of floras which belong to various categories. Various researchers have applied different approaches to recognize the plant family. Deep learning is a subset of machine learning. This is one of the accepted technologies that automatically extracts features, processes them and yields the best results. Keras is a widely used deep learning framework which is employed in this work. Five different plant species are chosen as samples among the Indian species, namely OcimumTenuiflorum, Sansevieriatrifasciata, Chlorophytumcomosum, Azadirachtaindica, Aloe Vera. These samples are rich in oxygen. From these samples the features like shape, color, texture, corners are extracted. One hot encoding is also applied onto the target values to optimize the results of recognition. The extracted features are fed into the sequential keras model which recognizes the plant species. The accuracy of the training set is 100 percent and the testing set is 96.7percent. Confusion matrix is drawn to show the correctly classified and misclassified samples.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A study on vulnerable risks in security of cloud computing and proposal of its remedies

引用

Journal of Physics: Conference Series 2021年第1期2040卷

作者： Rashi Saxena E. Gayathri Research Scholar Department of Computer Science & Engineering K L Deemed to be University Hyderabad Telangana India. Associate Professor Department of Computer Science & Engineering K L Deemed to be University Hyderabad Telangana India.

Data innovation worldview empowers pervasive access to shared pools of configurable framework assets and more significant level administrations that can be quickly provisioned with minimal administration exertion, regularly over the Internet. Cloud computing provides dynamic asset administrations for the client on request, and it is becoming increasingly popular. Cloud administrations are conveyed from server farms all through the world (as it is otherwise called Networks of systems). Outsider associations are additionally present there, because of which some significant security dangers came and make organize helplessly so the security of cloud information is imperative to keep over Cloud architecture to offer better support, ease administrations, and so forth. Despite that there are a few undermined hazards in cloud computing security. We will be concentrating majorly on cloud computing fraught with threats and how to overcome those threats. This paper is intended to introduce information about the most current attacks on cloud computing, just as safety efforts. The seriousness and impact of these attacks are talked about alongside genuine instances of these attacks. The paper likewise proposes alleviation strategies that can be utilized to decrease or dispose of the risks of the threats talked about. Moreover, the general cloud security proposals are given.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Renewable Energy Sources Efficient Detection in Triangulation for Wireless Sensor Networks

引用

IOP Conference Series: Materials science and engineering 2021年第1期1055卷

作者： B Barani Sundaram Nunu Srinivas N Kannaiya Raja Manish Kumar Mishra Dhanabal Thirumoorthy NR Reddy Professor & Associate Dean-ICT Department of Computer Science BuleHora University Bulehora Ethiopia Assistant Professor School of Electrical and Computer Engineering Addis Ababa Institute of Technology Addis Ababa University Addis Ababa Ethiopia Professor Department of Computer Science School of Informatics and Electrical Engineering Ambo University IOT Campus Ambo Ethiopia Department of Computer Science University of Gondar Gondar Ethiopia Lecturer BuleHora University Bulehora Ethiopia Assistant Professor Department of Computer Science Mekelle University Mekelle Ethiopia

It is important for wireless sensor networks (WSNs) to determine whether hubs can be restricted, called localizability recognition. This progression is important for confining hubs, achieving minimal organizations of effort and distinguishing critical in field-based applications. Because of their high calculation and communication costs, centralized graph algorithms are meaningless to an asset-restricted WSN, whereas distributed methodologies can skip a large number of hypothetically locatable hubs in a resource-limited WSN. In this document we are proposing a efficient and successful distributed methodology to solve that address of issue. In addition, we demonstrate our calculation accuracy and analyze the reasons why our calculation will discover increasingly localizable hubs while requiring less established area hubs. The paper introduces a new RSSI-based localization approach triangle as well as centroid placement, utilizing triangle as well as centroid approach to minimize RSSI measurement error. Modelling simulations show that this algorithm can significantly increase the precision of the location compared to the trilateration.

关键词：

来源：评论

学校读者我要写书评

暂无评论

An empirical research on consumer online buying behaviour during the COVID-19 pandemic

引用

IOP Conference Series: Materials science and engineering 2021年第1期1055卷

作者： C Jamunadevi S Deepa K T Kalaiselvi R Suguna A Dharshini Assistant Professor Department of Computer Technology-PG Kongu Engineering College Perundurai Erode India Associate Professor Department of Management Studies Erode Sengunthar Engineering College Erode India Assistant Professor Department of Computer Science and Engineering Bannariamman Institute of Technology Sathyamangalam India Student Department of Computer Technology-PG Kongu Engineering College Perundurai Erode India

The extraordinary episode of the 2019 novel Corona-virus named as COVID-19 by the World Health Organization (WHO) has put various governments around the globe in a shaky position. The shortage of health care facilities to bear the COVID-19 has forced the countries to go with the hand of complete or partial lock down. According to the World Health Organization (WHO) report 32.6 million cases has been recorded as on 26 September 2020. Corona-virus have its major influence on consumer buying behaviour which is going to change the consumers' future hopping habits. This article highlights the change in consumer behaviour from physical store to online shopping. The present study was conducted during the month of July- August 2020, where questionnaires' are formed and data collected using Google forms. Analysis of the data is made through Simple percentage method, ANOVA test, Chi square test and ranking method. After analysis it found that the majority holding 21-30 age group of customers prefer shopping while free shipping and their cart behaviour is also analysed for the same.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Object Identification Model using Deep Reinforcement Machine Learning Concept for Image

引用

IOP Conference Series: Materials science and engineering 2021年第1期1085卷

作者： Saurabh Tiwari S Veenadhari Sanjeev K Gupta Phd Research Scholar Department of Computer Science and Engineering RNTU Bhopal 462003 Madhya Pradesh India Associate Professor RNTU Department of Computer Science and Engineering RNTU Bhopal 462003 Madhya Pradesh India Professor RNTU Department of Electronics and Communication Engineering RNTU Bhopal 462003 Madhya Pradesh India

This paper presents a model which gives the detailed process of object identification. We need to identify class and location of object in image for completing process of objet identification. Proposed model works on the principal of reinforcement learning which takes action on the basis of rewards and experiences. Normally methods in literature uses sliding window which moves in same direction but proposed algorithm provides a variable mask which moves 360 degree for identifying object using action history vector proposed with RL also not only this work focuses on localization like other work but also used class information with Softmax classification able to classify multiple object in single image with efficient time which is novel. Proposed mask acts as agent and focuses on proposed candidate reason this saves time and works in efficient manner for identification. Agent depends on transformation action and by applying top down reasoning it gives location of object. Classification is done using Softmax classification as we are having features of image by CNN. Reinforcement learning concept used for training of agent and Pascal voc dataset used for testing. Analysis of only 10 to 25 regions is sufficient with proposed work to identify first instance of object. Experiment and performance evaluation shows the efficiency of proposed work.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Secure IoT via Blockchain

引用

IOP Conference Series: Materials science and engineering 2021年第1期1022卷

作者： Ruchi Garg Poonam Gupta Amandeep Kaur Assistant Professor Electronics and Communication Engineering Department M.M.(Deemed to be University) Mullana Ambala Haryana India Assistant Professor Computer Science and Engineering Department M.M.(Deemed to be University) Mullana Ambala Haryana India Associate Professor Computer Science and Engineering Department M.M. University Sadopur Ambala Haryana. India

Block chain technology had gained popularity because of its use in crypto-currencies like bitcoin. Today uses of blockchain are growing in number of areas like banking, industries, health centers and even security of IOT. Moreover, the use of IOT is growing exponentially every year with its aim in 5G technologies like e- health, smart homes, distributed intelligence etc. but it faces challenges in security and privacy. The privacy of a user data is at a risk because of its (i.e. IoT) centralized client-server model. This centralized approach of the server poses a serious vulnerability to the data security. This data at the server attracts the attackers to enter into the network and invade through the data and schedule attacks or inject a malware. It indicates that the central architecture of IoT possess a compromised confidentiality, integrity, and security of data which disrupts its use as the widespread adoption of this technology. Therefore, it is essential to evade the hostile centralized server architecture for IoT to enhance its security. It implies a need for decentralized architecture to maintain the data. The data can be kept at the different users without any central control with the help of blocks as suggested by Blockchain. This paper addresses the various security issues in IOT and how block chain helps in solving these issues.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Soft Computing Techniques for Clustering in WSN

引用

IOP Conference Series: Materials science and engineering 2021年第1期1022卷

作者： Amandeep Kaur Poonam Gupta Ruchi Garg Associate Professor Computer Science and Engineering Department M.M. University Sadopur Ambala Haryana India Assistant Professor Computer Science and Engineering Department M.M. (Deemed to be) University Mullana Ambala Haryana India Assistant Professor Electronics and Communication Engineering Department M.M. (Deemed to be) University Mullana Ambala Haryana India

The large Wireless Senor Networks (WSNs) comprises Sensor Nodes (SN) in some hundreds with sensing and communication capabilities. Major limitation of WSN is limited energy source of SN. Clustering is one of energy efficient method for energy conservation in WSNs. Clustering is the process to distribute SN in various logical groups known as cluster. Each cluster bears a Cluster Head (CH), who is responsible for transmitting aggregated data of its cluster to Base Station (BS). The literature is enriched by various clustering protocols proposed with the assistance of soft computing. This paper, presents the survey of soft computing paradigm-based clustering protocols.

关键词：

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：