2021 International Conference on Computing, Communication and Green Engineering (CCGE)最新文献_第4页

Secure Data Contribution and Retrieval in Social Networks Using Effective Privacy Preserving Data Mining Techniques 基于有效隐私保护数据挖掘技术的社交网络安全数据贡献与检索

2021 International Conference on Computing, Communication and Green Engineering (CCGE) Pub Date : 2021-09-23 DOI: 10.1109/CCGE50943.2021.9776454

Dharmendra Ambani, Kishor H. Atkotiya

{"title":"Secure Data Contribution and Retrieval in Social Networks Using Effective Privacy Preserving Data Mining Techniques","authors":"Dharmendra Ambani, Kishor H. Atkotiya","doi":"10.1109/CCGE50943.2021.9776454","DOIUrl":"https://doi.org/10.1109/CCGE50943.2021.9776454","url":null,"abstract":"Privacy Preserving Data-Mining is the major use of data- mining methods for ensuring privacy of personal information. Data-mining algorithms search for the information that is most valuable. A major aspect of Privacy Preserving Data Mining is the safeguarding of sensitive information against unauthorized access. The Secure Data Contribution Retrieval algorithm assigns a privacy policy and security is assigned depending on the application needs and compatibility. This method is capable of meeting the requirements for numerous datasets. Currently, social media sites such as Facebook, Twitter, and YouTube are quite popular. Then, the expanded attribute-based encryption methodology allows users to transfer data contents across orbit software networks. Data leakage occurs during the gathering and storage of user Orbit Software Networks in an insecure distributed or centralized system. Third, the suggested Level by Level Security Optimization and Content Visualization algorithm helps prevent privacy problems when sharing information and visualizing data. They use privacy levels at the individual level following the assessment of the privacy compatibility of orbit software networks application. Experimental analysis employs the data from social datasets.","PeriodicalId":130452,"journal":{"name":"2021 International Conference on Computing, Communication and Green Engineering (CCGE)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129831598","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

Adaptive Headlight System for Reducing the Dazzling Effect to Prevent Road Accident 自适应前照灯系统减少刺眼效应，预防交通事故

2021 International Conference on Computing, Communication and Green Engineering (CCGE) Pub Date : 2021-09-23 DOI: 10.1109/CCGE50943.2021.9776464

A. Dubey, Anmol Gulati, Ayush Choubey, S. Jaikar, Pranav More

{"title":"Adaptive Headlight System for Reducing the Dazzling Effect to Prevent Road Accident","authors":"A. Dubey, Anmol Gulati, Ayush Choubey, S. Jaikar, Pranav More","doi":"10.1109/CCGE50943.2021.9776464","DOIUrl":"https://doi.org/10.1109/CCGE50943.2021.9776464","url":null,"abstract":"Driving a vehicle at night or in low levels of natural light poses many risks, one of which is caused by the vehicle's headlight. Many drivers prefer to use high beam headlights while driving at night, which improves visibility by allowing them to see a larger area ahead of them. Aside from providing increased visibility and a clearer view of the road ahead, these high beams can strain the eyes of the driver of the vehicle approaching from the opposite direction. This strain on the eyes of the driver can cause a glare effect for a slight duration which can disrupt the vision of the driver and may cause accidents. The glare effect is caused by the use of high beam headlights from the opposite end of the vehicle. The system under consideration uses a LED matrix (Hardware module) in addition to a trained object detection module and a live camera feed (Software module) to detect vehicles, acquire their positions to control the LEDs in our matrix, and control the intensities of those LEDs. Using this system, we aim to control the headlights in an optimized way to reduce the glare effect from impacting the drivers of oncoming vehicles and also illuminate the road ahead without compromising the visibility of the driver. The model assists in overcoming the dizziness or glare effect that a driver may encounter while driving in the dark. It also aims to eliminate the need for the driver to manually control the headlights, which is rarely used.","PeriodicalId":130452,"journal":{"name":"2021 International Conference on Computing, Communication and Green Engineering (CCGE)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128381485","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 Complete Chatbot based Architecture for answering user's Course-related queries in MOOC platforms 一个完整的基于聊天机器人的架构，用于回答用户在MOOC平台上与课程相关的查询

2021 International Conference on Computing, Communication and Green Engineering (CCGE) Pub Date : 2021-09-23 DOI: 10.1109/CCGE50943.2021.9776437

Sparsh Amarnani, N. Bhagat, Hritwik Ekade, Ajay Gupta, Sunita Sahu

引用次数: 1

A Compact Multiband 2x2 MIMO Antenna For 5G 28GHz/38GHz IoT and Smart City Applications 用于5G 28GHz/38GHz物联网和智慧城市应用的紧凑型多频段2x2 MIMO天线

2021 International Conference on Computing, Communication and Green Engineering (CCGE) Pub Date : 2021-09-23 DOI: 10.1109/CCGE50943.2021.9776458

Manish Sharma, Namrata Choudhary, Rakesh Ahuja, S. Malhotra

引用次数: 0

Recognition of Human Emotion through effective estimations of Features and Classification Model 通过有效的特征估计和分类模型识别人类情感

2021 International Conference on Computing, Communication and Green Engineering (CCGE) Pub Date : 2021-09-23 DOI: 10.1109/CCGE50943.2021.9776405

S. Pangaonkar, R. Gunjan, Virendra Shete

{"title":"Recognition of Human Emotion through effective estimations of Features and Classification Model","authors":"S. Pangaonkar, R. Gunjan, Virendra Shete","doi":"10.1109/CCGE50943.2021.9776405","DOIUrl":"https://doi.org/10.1109/CCGE50943.2021.9776405","url":null,"abstract":"Voice Emotion Recognition (VER) is a dynamic and has implications on a wide range of research areas. Use of a computer for voice emotion recognition is a way to study the voice signal of a speaker, as well as is a process that is altered by inner emotions. Human Machine Interface (HMI) is very vital and opted to implement this effectively and an innovative way. To develop new recognition methods, this research paper evaluates the basic emotions of human. Accurate detection of emotional states can be further used as a machine learning database for interdisciplinary experiments. The proposed system is an algorithmic method that first extracts the audio signal from the microphone, preprocesses it, and then evaluates the parameters based on various characteristics. The model is trained through the Mel Frequency Cepstral Coefficient (MFCC) and PRAAT (Speech Analysis in Phonetics) coefficients. By creating a feature map using these, Convolutional Neural Networks (CNN) effectively learn and classify the attributes of perceived signals of basic emotions such as sadness, surprise, happiness, anger, fear, neutral and disgust. The proposed method provides good recognition rate.","PeriodicalId":130452,"journal":{"name":"2021 International Conference on Computing, Communication and Green Engineering (CCGE)","volume":"312 10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120983874","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

Application for Multi-Agent System: A Case of Customised eLearning 多智能体系统的应用:以个性化电子学习为例

2021 International Conference on Computing, Communication and Green Engineering (CCGE) Pub Date : 2021-09-23 DOI: 10.1109/CCGE50943.2021.9776390

Monika Patel, P. Sajja

{"title":"Application for Multi-Agent System: A Case of Customised eLearning","authors":"Monika Patel, P. Sajja","doi":"10.1109/CCGE50943.2021.9776390","DOIUrl":"https://doi.org/10.1109/CCGE50943.2021.9776390","url":null,"abstract":"The whole world is completely upset because of the unexpected ejection of a lethal disease called Covid-19. Every single region is absolutely closed because of the effect of Covid. To prevent the unfold of this unwellness, everybody needs to maintain social distancing. Students are considered as the eventual fate of the country. To save the understudies from this infection the academic institute has begun internet educating and learning. Yet, giving information in online mode has become a testing task for understudies similarly as a tutor. Because of e-learning, customize learning has become vanish. To help intelligent instructing and learning systems an upgraded model is needed to boost the academic activities. This paper presents a style of projected model utilizing Reinforcement learning. The reinforcement learning (RL) approach provides effective pedagogical strategies for educating the learners with their interest in the subject. With the assistance of RL, the introduced model chooses the training difficulty level of scholars and recommends the student's understanding level to access the reading content. The proposed structure is planned in such a manner with the goal that the educator isn't needed to continually screen the understudy. Experimental results show that these approaches scale back the number of attentions needed from the teacher and enhance the training capability of understudy. The presented framework enhances personalized learning.","PeriodicalId":130452,"journal":{"name":"2021 International Conference on Computing, Communication and Green Engineering (CCGE)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125071467","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

Efficient Attribute Based Encryption Outsourcing in Cloud Storage with User Revocation 基于用户撤销的云存储高效属性加密外包

2021 International Conference on Computing, Communication and Green Engineering (CCGE) Pub Date : 2021-09-23 DOI: 10.1109/CCGE50943.2021.9776354

Shweta Sharad Chavan, J. Jayaseeli

{"title":"Efficient Attribute Based Encryption Outsourcing in Cloud Storage with User Revocation","authors":"Shweta Sharad Chavan, J. Jayaseeli","doi":"10.1109/CCGE50943.2021.9776354","DOIUrl":"https://doi.org/10.1109/CCGE50943.2021.9776354","url":null,"abstract":"By providing a function called Cloud Storage, the company let participants outsource their confidential data to a third party and use the on-demand services and applications of data on the organization's cloud storage server. With this, researchers would be able to encrypt details, which would will be crucial in preventing security breaches of confidential details. In this exchange conference, businesses have to encrypt their data before they process it to the Cloud framework. Attribute Based Encryption (ABE) system is a symmetric key dependent cryptosystem used in cloud system that lets device users, software, data and programmers access managed digital data. Unfortunately, BAE suffers from a performance downside with outsourcing the operation of decrypting the secret. There has been a lot of suggestions put forward as to how to boost the performance of the method. It would be to the same investigation that was stated in the research study. We take the case of the Robust Paraphrasing and conclude there is a new implementation of the Electronic Referencing tool, even though it depends on the Actuals. The load testing strategy is used to minimize the expense of outsourcing the decryption phase to a third-party data decryption service provider. Load balancing may occur by considering features such as file space, memory, hard drive disc usage, etc. For the intent of revocation of key for a community, we often discuss the problem of the key consumer quitting the group. Therefore, in the case of the key user leaving the group, the latest key to open a group should be modified and circulated to all current key holders. The experimental findings of this proposed method proves that the time and memory consumptions of this proposed system were comparable to, if not higher than, the current system of time consumptions and memory usage.","PeriodicalId":130452,"journal":{"name":"2021 International Conference on Computing, Communication and Green Engineering (CCGE)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125101895","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 Automatic Lighting System based on Intensity of Sunlight using BH-1750 基于日照强度的BH-1750自动照明系统设计

2021 International Conference on Computing, Communication and Green Engineering (CCGE) Pub Date : 2021-09-23 DOI: 10.1109/CCGE50943.2021.9776411

Harsh Sudhanshu Sahu, Nellutla Himanish, K. Hiran, Janapala Leha

引用次数: 2

Methodological Review of Emotion Recognition for Social Media: A Sentiment Analysis Approach 社交媒体情感识别的方法论回顾:一种情感分析方法

2021 International Conference on Computing, Communication and Green Engineering (CCGE) Pub Date : 2021-09-23 DOI: 10.1109/CCGE50943.2021.9776385

Madhavi S. Darokar, A. D. Raut, V. Thakre

{"title":"Methodological Review of Emotion Recognition for Social Media: A Sentiment Analysis Approach","authors":"Madhavi S. Darokar, A. D. Raut, V. Thakre","doi":"10.1109/CCGE50943.2021.9776385","DOIUrl":"https://doi.org/10.1109/CCGE50943.2021.9776385","url":null,"abstract":"Emotion recognition and their analysis have become a very popular topic nowadays, as most of the world using the social media in the form of various applications such as Twitter, Facebook, Whatsapp, Instagram and many more. Also, there are quite a large number of users, who buy the different daily life products through the online shopping websites like Amazon, Flipkart where the online behaviors and emotions of the consumer buying the product is of great interest to the e-commerce industry. In accordance to, the development in the artificial intelligence field, there exist various algorithms that are programmed to analyze the user behavior and trap their emotions through various tools for analyzing the market trends and to increase the percentage of profit. Furthermore, a prolific rate of development is observed in the AI field. This now can be noticed presently, in the form of ‘Deep learning’ where a very huge amount of data is available and the decision-making process is very crucial. If the tremendous amount of data is accessible, “Machine Learning” algorithms are of utmost importance.","PeriodicalId":130452,"journal":{"name":"2021 International Conference on Computing, Communication and Green Engineering (CCGE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125301594","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

Temperature Monitoring and Application of Machine Learning in Radiology for COVID-19 Pandemic 温度监测及机器学习在新冠肺炎大流行放射学中的应用

2021 International Conference on Computing, Communication and Green Engineering (CCGE) Pub Date : 2021-09-23 DOI: 10.1109/CCGE50943.2021.9776395

Priyanka Pitale, D. Karia, Manish Parmar

{"title":"Temperature Monitoring and Application of Machine Learning in Radiology for COVID-19 Pandemic","authors":"Priyanka Pitale, D. Karia, Manish Parmar","doi":"10.1109/CCGE50943.2021.9776395","DOIUrl":"https://doi.org/10.1109/CCGE50943.2021.9776395","url":null,"abstract":"Entire world got hit by a pandemic due to COVID-19 virus. This virus had a huge toll on the human race which is the reason there is a need to detect such a threat on anearly stage. To detect the virus, some of its symptoms like high fever, cough, cold, and congestion in lungs. Spreading of this virus occurs due to a physical touch between two living or non-living surfaces. Therefore, constant sanitization is required in the contaminated zones. An advanced machine that can take a human X-ray and analyze for infection, check the temperature of the body as well as sanitize while a person is leaving can be a boon to detect cases early. In the entry stage, an X-ray machinewill take a chest X-ray of the person and use machine learning classifiers in order to detect any infection in lungs. On the second stage a temperature monitoring device using infrared sensor will check for high or low temperatures. Alongside, a sterilizing unit having UVC rays will disinfect the person in front of it. In this way, an instant checkup for COVID-19symptoms can help to eradicate the virus. This system can be used for offices, public places as well as medical facilities for detection of the virus.","PeriodicalId":130452,"journal":{"name":"2021 International Conference on Computing, Communication and Green Engineering (CCGE)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121679232","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