2023 World Conference on Communication & Computing (WCONF)最新文献_第7页

Design and Performance Analysis of 6T SRAM Cell on Different CMOS Technologies 基于不同CMOS技术的6T SRAM单元设计与性能分析

2023 World Conference on Communication & Computing (WCONF) Pub Date : 2023-07-14 DOI: 10.1109/wconf58270.2023.10235118

Sd Nageena Parveen, V. Charishma, P. Summit, A. Sandeep, R. S. Rahul

引用次数: 0

Software Reliability Analysis with Various Metrics using Ensembling Machine Learning Approach 基于集成机器学习方法的软件可靠性分析

2023 World Conference on Communication & Computing (WCONF) Pub Date : 2023-07-14 DOI: 10.1109/WCONF58270.2023.10235066

Dr. P. William, Dr. A. Kakoli Rao, Dr. Shalini Singh, Akhilesh Kumar Khan, Yogendra Kumar, Devendra Singh

{"title":"Software Reliability Analysis with Various Metrics using Ensembling Machine Learning Approach","authors":"Dr. P. William, Dr. A. Kakoli Rao, Dr. Shalini Singh, Akhilesh Kumar Khan, Yogendra Kumar, Devendra Singh","doi":"10.1109/WCONF58270.2023.10235066","DOIUrl":"https://doi.org/10.1109/WCONF58270.2023.10235066","url":null,"abstract":"In recent years, there has been an increasing need for remote surveillance and monitoring of our boundary. Nowadays, it is a difficult duty for military to monitor international border regions. Our goal is to incorporate robots in military security systems in order to provide the highest level of protection, since robotics are being adopted by all fields in order to enhance current systems. In this study, we propose a surveillance robot that is capable of monitoring and identifying intrusions near international boundaries. As a result, the surveillance robot is programmed to automatically identify border intruders and notify surrounding security staff through Internet of Things video streaming. When motion is detected, the Raspberry Pi 3 Model B, which is in charge of the bot’s computer, is programmed to turn on the camera so that it may transmit live footage. Moreover, an infrared sensor is used to detect obstructions and avoid collisions. The raspberry pi camera is connected to a microcontroller that keeps watch over the premises and sounds an alarm if an intruder is spotted. Enabling WiFi enables the Internet of Things to be used for the surveillance robot’s transmission function. The camera footage may be analysed from any Internet-connected place due to Raspberry Pi’s live streaming capability. As the IoT module serves as both the transmitter and receiver, the node’s footprint, price tag, and level of complexity are all reduced. To that purpose, this project proposes using a surveillance robot running the Raspbian operating system.","PeriodicalId":202864,"journal":{"name":"2023 World Conference on Communication & Computing (WCONF)","volume":"50 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120994717","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: 2

An Analytical Study of Reading Habits of Undergraduate Students 大学生阅读习惯的分析研究

2023 World Conference on Communication & Computing (WCONF) Pub Date : 2023-07-14 DOI: 10.1109/WCONF58270.2023.10235142

Shanmukha Priya Sreenidhi Appalabatla

{"title":"An Analytical Study of Reading Habits of Undergraduate Students","authors":"Shanmukha Priya Sreenidhi Appalabatla","doi":"10.1109/WCONF58270.2023.10235142","DOIUrl":"https://doi.org/10.1109/WCONF58270.2023.10235142","url":null,"abstract":"Reading habit opens up the door to succeed in learning. It is the soul of education. It is therefore essential to explore the reading habits of professional students to access their interest in reading in turn their personality, communication skills. The practice of reading does not mirror the lifestyle of most undergraduates in Academics and Universities. It is assumed that quite handful of professional students are aware of how to read, what to read, when to read and where to read. Basically, reading for refreshment or relieving stress is quite common among the educated population.The study is a concise survey on “Reading Habits of Professional Students.” Data is collected using a validated online questionnaire. It is analysed using Pandas – a Python library for analysis and manipulation of data. Further matplotlib – a popular python package for data visualisation is used to showcase the results in the form of plots and graphs. Interpretations are drawn based on the varied responses from the respondents. The findings disclosed that nearly all the respondents understand the importance of reading. The study revealed that 91.95% love to read from their various fields while 8.05% showed their unwillingness towards book reading. 43.34% of the student population likes reading fiction books, whereas only 1.24% of professional students go with non-fictional books besides 55.42% showed interest to read both. It is observed that reading habit among professional students pursuing their engineering stream is encouraging. It is recommended that students should develop and show curiosity towards book reading. Parents should function as catalysts encouraging their children by supplementing them with needed reading resources besides creating a conducive atmosphere for them.","PeriodicalId":202864,"journal":{"name":"2023 World Conference on Communication & Computing (WCONF)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121199456","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

Categorization of Chocolates Using Robust Sequential Model on RMS Prop Optimizer 基于RMS Prop优化器鲁棒序列模型的巧克力分类

2023 World Conference on Communication & Computing (WCONF) Pub Date : 2023-07-14 DOI: 10.1109/WCONF58270.2023.10235169

Kanwarpartap Singh Gill, Vatsala Anand, Rupesh Gupta

引用次数: 0

Analysis and Research of 5G Access Authentication Protocol of New Generation Mobile Communication Network Under AHP Algorithm AHP算法下新一代移动通信网络5G接入认证协议分析与研究

2023 World Conference on Communication & Computing (WCONF) Pub Date : 2023-07-14 DOI: 10.1109/WCONF58270.2023.10235065

Juanjuan Gong

{"title":"Analysis and Research of 5G Access Authentication Protocol of New Generation Mobile Communication Network Under AHP Algorithm","authors":"Juanjuan Gong","doi":"10.1109/WCONF58270.2023.10235065","DOIUrl":"https://doi.org/10.1109/WCONF58270.2023.10235065","url":null,"abstract":"The role of authentication protocol in the 5G access of the new generation mobile communication network is very important, but there is a problem that the content of the authentication protocol is unreasonable. Ordinary methods cannot solve the authentication protocol problem in 5G access of the new generation of mobile communication networks, and the results are not ideal. Therefore, this paper proposes an AHP algorithm for authentication protocol analysis. Firstly, the analysis hierarchy is used to analyze the content of the protocol, and the indicators are divided according to the requirements of the certification protocol to reduce the authentication protocol in the interfering factor. Then, the hierarchy analyzes the analysis results of the 5G access authentication protocol of the new generation of mobile communication network, forms the authentication protocol scheme, and corrects Comprehensive analysis of certification protocol results. MATLAB simulation shows that under certain evaluation criteria, the AHP algorithm is the authentication protocol for 5G access of the new generation of mobile communication network The accuracy and reasonableness of the certification protocol are better than ordinary methods.","PeriodicalId":202864,"journal":{"name":"2023 World Conference on Communication & Computing (WCONF)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126555574","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

New Modified Adaptive Learning Neural Network for Coverage and Connectivity Issues in WSN Using Energy Efficient Routing Algorithm 基于节能路由算法的改进自适应学习神经网络解决无线传感器网络的覆盖和连通性问题

2023 World Conference on Communication & Computing (WCONF) Pub Date : 2023-07-14 DOI: 10.1109/WCONF58270.2023.10235038

Manish Chandna

{"title":"New Modified Adaptive Learning Neural Network for Coverage and Connectivity Issues in WSN Using Energy Efficient Routing Algorithm","authors":"Manish Chandna","doi":"10.1109/WCONF58270.2023.10235038","DOIUrl":"https://doi.org/10.1109/WCONF58270.2023.10235038","url":null,"abstract":"Wireless Sensor Networks (WSNs) are increasingly being employed in a variety of applications ranging from military to infrastructure monitoring. However, with the ever-increasing demand of higher coverage, better connectivity, and accuracy, optimization of such networks is becoming a complex task. To address this challenge, this paper proposes a novel Modified Adaptive Learning Neural Network (M-ALNN).This new method is designed to address both coverage and connectivity issues within a given WSN. The MALNN adaptively optimizes WSNs by taking advantage of state-of-the-art reinforcement learning algorithms. The proposed algorithm uses a combination of two different algorithms, viz., the Supervised Neuron Algorithm (SNA) and the K-Means Clustering Algorithm, to achieve optimal coverage and reconfiguration of network topology. Both SNA and K-Means Algorithm are trained through a reinforcement learning algorithm to adaptively adjust their parameters as per the current application requirements. After optimization, the proposed M-ALNN algorithm improves the coverage and connectivity of WSNs by adjusting the network parameters. Simulation experiments are conducted to verify the effectiveness of the proposed method. Results show that our proposed network outperforms the conventional WSN in terms of coverage and connectivity when tested under various scenarios.","PeriodicalId":202864,"journal":{"name":"2023 World Conference on Communication & Computing (WCONF)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125722957","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

Enhancing Organizational Collaboration and Communication through a Social Management Platform 通过社会管理平台加强组织协作和沟通

2023 World Conference on Communication & Computing (WCONF) Pub Date : 2023-07-14 DOI: 10.1109/WCONF58270.2023.10235215

Riya Sinha, Jaineel Petiwale, Lokesh Devendra Satpute, Vikram Pratap Singh Tomer, Basab Nath

引用次数: 0

A Novel Approach for Analyzing Broadcast Overheads in Underwater Sensor Networks 水下传感器网络广播开销分析的新方法

2023 World Conference on Communication & Computing (WCONF) Pub Date : 2023-07-14 DOI: 10.1109/WCONF58270.2023.10235223

R. N. Kumar, S. Tamilselvan

{"title":"A Novel Approach for Analyzing Broadcast Overheads in Underwater Sensor Networks","authors":"R. N. Kumar, S. Tamilselvan","doi":"10.1109/WCONF58270.2023.10235223","DOIUrl":"https://doi.org/10.1109/WCONF58270.2023.10235223","url":null,"abstract":"Though a lot of technological advancements were achieved in wireless communication systems leading towards a 6G era, underwater acoustic communication is still a challenging and open area for research. Because, the acoustic signals that are used in underwater communication of underwater sensor networks (UWSN’s) causes large propagation delay and high error probability. Because of this error prone nature of UWSN, broadcast-based medium access control (MAC) protocols and routing protocols are commonly used in the design of UWSN systems for reliable data delivery in practical scenarios – but they lead to a lot of broadcast overhead. The location-based routing algorithms of UWSN are also mostly based on broadcast-based message forwarding mechanisms. The objective of this work is to realize the existence of broadcast overhead in the design of underwater MAC (Medium Access Control) and routing protocols using suitable metrics. In this analysis, we will use a location-free routing protocol underwater flooding (UWF) and a location-based routing protocol vector-based forwarding (VBF). The suitable metrics to understand the broadcast overhead in a unique way through MAC and network layer, made in this work will make one to understand the nature of UWSN and its routing protocols and help them to design a better protocol for UWSN.","PeriodicalId":202864,"journal":{"name":"2023 World Conference on Communication & Computing (WCONF)","volume":"156 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128747887","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

A Deep Learning Framework for Multiclass Categorization of Pulmonary Diseases 肺部疾病多类分类的深度学习框架

2023 World Conference on Communication & Computing (WCONF) Pub Date : 2023-07-14 DOI: 10.1109/WCONF58270.2023.10235057

st Khanaghavalle, Allen Manoj, Janani Karthikeyan, Ritunjay Murali

{"title":"A Deep Learning Framework for Multiclass Categorization of Pulmonary Diseases","authors":"st Khanaghavalle, Allen Manoj, Janani Karthikeyan, Ritunjay Murali","doi":"10.1109/WCONF58270.2023.10235057","DOIUrl":"https://doi.org/10.1109/WCONF58270.2023.10235057","url":null,"abstract":"Lung diseases such as pulmonary disease affect the lungs and respiratory organs which causes trouble in breathing and blocks the airflow in the body. This disease may be caused by infections, smoking tobacco, or other forms of air pollution. Pulmonary auscultation becomes the primary technique to identify the disease in the respiratory system. The sounds of air flowing inside and outside the lungs during the breathing process can be auscultated by a pulmonologist to identify the underlying disease in the respiratory system. With the immense development in technology, an automated framework for the multiclass categorization of respiratory disease is developed. The automated system uses Deep Learning techniques to do the classification. A Deep Neural Network such as Convolutional Neural Network is used for the classification of pulmonary disease using lung sounds. This will also aid in efficiently identifying diseases in a safe, non-invasive, environment-friendly, and sustainable way, improving the lives of the patients. This paper shows the implementation of Binary classification and Multiclass classification (8 classes) with the highest accuracy of 80% and 67% respectively. The obtained results are best to our knowledge when compared to the existing ones.","PeriodicalId":202864,"journal":{"name":"2023 World Conference on Communication & Computing (WCONF)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130720615","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

The Smart Performance Enhancement of Utterance Intensity Sentimental Optimization for Social Data Harvesting in Big Data Management 面向大数据管理中社会数据采集的话语强度情感优化智能性能提升

2023 World Conference on Communication & Computing (WCONF) Pub Date : 2023-07-14 DOI: 10.1109/WCONF58270.2023.10235217

Prabhjot Kaur

引用次数: 0