2022 IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)最新文献_第3页

Using Behavior of Social Network: Bayesian Consideration 社交网络的使用行为:贝叶斯考虑

2022 IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2022-04-23 DOI: 10.1109/icdcece53908.2022.9792752

N. Ngan, Bui Huy Khoi

{"title":"Using Behavior of Social Network: Bayesian Consideration","authors":"N. Ngan, Bui Huy Khoi","doi":"10.1109/icdcece53908.2022.9792752","DOIUrl":"https://doi.org/10.1109/icdcece53908.2022.9792752","url":null,"abstract":"In Vietnam, social media platforms such as Facebook, ZaLo, Youtube, and others have swiftly become a significant and indispensable part of many people's lives, particularly among the younger generations. It plays a significant function and has a significant impact on people. The author proposes a study model with five independent components based on past studies' theoretical foundations and specific information from contemporary research publications: Social influence (SI), Using motivation (UM), Perceived ease of use (PEU), Attitude (ATT) and Perception of usefulness (PU) and a dependent variable is Using the behavior of social network (BSN). An online survey with 147 samples was used to gain analytical data. The findings of the study revealed that two things have a beneficial impact on using the behavior of social networks (BSN). Attitude (ATT) and Perception of usefulness (PU) impact Using the behavior of social network (BSN) is 56.5%. BIC determines the best option, and two variables have a 79.5 percent chance. Then, for each element, we provide the management implications to assist managers in helping businesses improve and improve efficiency while also ensuring that clients remember the social network. This research employs the best BIC for the social network in the Vietnam market.","PeriodicalId":417643,"journal":{"name":"2022 IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127517505","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

Improved Resolution of Dehazed Images with Dark Channel Prior and Super Resolution GAN 利用暗通道先验和超分辨率GAN提高去雾图像的分辨率

2022 IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2022-04-23 DOI: 10.1109/icdcece53908.2022.9793249

Shubham Shubham, S. Deb, Rapti Chaudhuri

{"title":"Improved Resolution of Dehazed Images with Dark Channel Prior and Super Resolution GAN","authors":"Shubham Shubham, S. Deb, Rapti Chaudhuri","doi":"10.1109/icdcece53908.2022.9793249","DOIUrl":"https://doi.org/10.1109/icdcece53908.2022.9793249","url":null,"abstract":"Extracting information from an image becomes difficult when the scene is disrupted due to bad atmospheric conditions. Suspended particles like fog, rain and dust creates haze in the scene. In many real time situations vision algorithms work on clean and sharp images. This makes the task of vision algorithms difficult to operate and get correct results. Moreover, after dehazing an image still a lot of information gets missing because recovery is not perfect. To fill the information gaps resolution of the image needs to be improved. Haze removal and image resolution improvement is a difficult task and this problem is poorly posed. Over the years many methods have come to address the problem of haze and also improvement of resolution of image. However, they have been addressed independently and in many real time environments resolution of dehazed image is low due to which many vision algorithms fail. In this paper, we propose a method combining Dark Channel Prior and Super Resolution GAN removing haze and improving resolution of image simultaneously followed by working principle with proper discussion of algorithm accompanied with visual representation of experimental results.","PeriodicalId":417643,"journal":{"name":"2022 IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130554111","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

Effective Usage of Cognitive Computing for Designing Smart Sensing Systems and Networks in Transportation 认知计算在交通智能感知系统和网络设计中的有效应用

2022 IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2022-04-23 DOI: 10.1109/icdcece53908.2022.9792819

Rebecca M Ruben, Vijaya Kumar B P, N. E.

{"title":"Effective Usage of Cognitive Computing for Designing Smart Sensing Systems and Networks in Transportation","authors":"Rebecca M Ruben, Vijaya Kumar B P, N. E.","doi":"10.1109/icdcece53908.2022.9792819","DOIUrl":"https://doi.org/10.1109/icdcece53908.2022.9792819","url":null,"abstract":"Thousands of people utilize public transit every day all across the world. People travel to new areas on a regular basis using public transportation, and they may feel entirely disoriented in a new environment at times. At this point, this chatbot is here to assist. A chat interface that communicates with humans. It is frequently referred to be one of the most promising technologies used for human-machine interaction. It’s a piece of software that employs deep learning methods and natural language processing (NLP) to conduct an online chat conversation via text/voice. In the form of a GUI, it offers direct communication with a conscious human agent. It is a software program that uses methods for deep learning and natural language processing (NLP) to conduct an online chat conversation via text/voice. In the form of a GUI, it offers direct communication with a conscious human agent. It analyses and extracts from the user’s inquiry the relevant database values. The cognitive Computing technique employed to these chatbots is in charge of effectively comprehending the user’s intents and avoiding any misunderstandings. The chatbots respond to the user’s query request with the most relevant response once the user’s intent is recognized. The user subsequently receives all of the info regarding the bus name as well as their figures, allowing them to comfortably go to their intended place. Proposed research makes use of much accessible Application Programming Interfaces (APIs), including the Dialog flow API for effective NLP combination with our TARS chatbot sensor.","PeriodicalId":417643,"journal":{"name":"2022 IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130717096","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

Note-ing Hill: A Note-Making Application 笔记山:一个笔记制作应用程序

2022 IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2022-04-23 DOI: 10.1109/icdcece53908.2022.9793320

Vishnu Anand, Chinmaya Ravi, Aniket Acharya, Sahithya Papireddy, P. T R

引用次数: 0

Performance Evaluation of Machine Learning Classifiers in Malware Detection 机器学习分类器在恶意软件检测中的性能评价

2022 IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2022-04-23 DOI: 10.1109/icdcece53908.2022.9793102

Umesh V. Nikam, Vaishali M. Deshmuh

引用次数: 3

IoT based Manhole Detection and Monitoring System 基于物联网的人孔检测与监控系统

2022 IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2022-04-23 DOI: 10.1109/icdcece53908.2022.9793287

Varun Krishna Nallamothu, Saahith Medidi, Swetha Priyanka Jannu

引用次数: 2

Design of High Speed 8-Bit Magnitude Comparator for Security Application 用于安全应用的高速8位幅度比较器设计

2022 IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2022-04-23 DOI: 10.1109/icdcece53908.2022.9793032

Shubham Munratiwar, Y. Saikrishna, V. Jyothi

引用次数: 0

An Enhanced Deep Learning Model for Duplicate Question Detection on Quora Question pairs using Siamese LSTM 基于Siamese LSTM的Quora问题对重复问题检测的增强深度学习模型

2022 IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2022-04-23 DOI: 10.1109/icdcece53908.2022.9792906

M. Chandra, Andrea Rodrigues, Jossy P. George

{"title":"An Enhanced Deep Learning Model for Duplicate Question Detection on Quora Question pairs using Siamese LSTM","authors":"M. Chandra, Andrea Rodrigues, Jossy P. George","doi":"10.1109/icdcece53908.2022.9792906","DOIUrl":"https://doi.org/10.1109/icdcece53908.2022.9792906","url":null,"abstract":"The question answering platform Quora has millions of users which increases the probability of questions asked with similar intent. One question may be structured in two different ways by two users, and answering similar questions repeatedly impacts user experience. Manual filtration of such questions is a tedious task, so Quora attempts to detect and remove these duplicate questions by using the Random Forest Model, which is not completely effective. As Quora contains question answers in the form of text data, different Natural Language Processing techniques are used to transform the text data into numerical vectors. In this research, the log loss metric acts as the primary metric to evaluate different models. The primary contribution is that the Siamese network is used to process two questions parallelly and find vectors representation of each question. The vectors computed by this method enables similarity detection which is more effective than existing models. GloVe word embedding is used to understand the semantic similarity between two questions. The random classifier is built as the base model and logistic regression, linear SVM and XGBoost model are used to reduce the log loss. Finally, a Siamese LSTM is proposed which reduces the loss dramatically.","PeriodicalId":417643,"journal":{"name":"2022 IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124969732","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

Wheelchair Operation Using Image Analysis 使用图像分析轮椅操作

2022 IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2022-04-23 DOI: 10.1109/icdcece53908.2022.9793297

Nikita Singh, Nithish Nandikonda, Gopikrishna M

引用次数: 0

An Enhanced Fusion Approach for Meticulous Presaging of HD Detection Using Deep Learning 一种基于深度学习的高清检测精细预测增强融合方法

2022 IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2022-04-23 DOI: 10.1109/icdcece53908.2022.9793141

Ritu Aggarwal, Suneet Kumar

引用次数: 2