2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)最新文献_第10页

Hate Speech Detection in Hindi language using BERT and Convolution Neural Network 基于BERT和卷积神经网络的印地语仇恨语音检测

2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) Pub Date : 2022-11-04 DOI: 10.1109/ICCCIS56430.2022.10037649

Shubham Shukla, Sushama Nagpal, Sangeeta Sabharwal

{"title":"Hate Speech Detection in Hindi language using BERT and Convolution Neural Network","authors":"Shubham Shukla, Sushama Nagpal, Sangeeta Sabharwal","doi":"10.1109/ICCCIS56430.2022.10037649","DOIUrl":"https://doi.org/10.1109/ICCCIS56430.2022.10037649","url":null,"abstract":"Social media has become crucial in our lives; it inculcates our opinions by providing untreated information. Whether we might be not participating actively but indirectly everyone became part of its coverage. Wide spread of information over the internet without any validation made it hard to analyze the impact of misleading information. Cyber hate, which is used as a tool to incite violence against a group of people based on ethnicity, nationality, language, sexual orientation, religious faiths, etc., poses a disgraceful utilization of social media. Previous apposite studies reported hate speech mainly in the English language. Less effort has been made for the resource-constraint language such as Hindi, Marathi, Kannada, etc. This work entitles hate speech detection in low-resource Hindi language using BERT and Deep Convolution Neural Network. The proposed Hindi Hate Speech BERT Convolution Neural Network model intends to detect hate speech in real-time so that any harmful incidence can be avoided as early as possible. This model presents a two-stage architecture: In the first stage, we have applied a pre-trained BERT encoder to generate encodings. In the second stage, a convolution neural network followed by a sigmoid layer is used to detect text as hatred or non-hatred. Our model achieved 0.84 & 0.77 f1-score for Hasoc 2020 and Hasoc 2021 dataset respectively.","PeriodicalId":286808,"journal":{"name":"2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131238149","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: 1

Confluence of Artificial Intelligence and Blockchain Powered Smart Contract in Finance System 人工智能与区块链智能合约在金融系统中的融合

2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) Pub Date : 2022-11-04 DOI: 10.1109/ICCCIS56430.2022.10037701

Chhaya Dubey, D. Kumar, Ashutosh Kumar Singh, V. Dwivedi

{"title":"Confluence of Artificial Intelligence and Blockchain Powered Smart Contract in Finance System","authors":"Chhaya Dubey, D. Kumar, Ashutosh Kumar Singh, V. Dwivedi","doi":"10.1109/ICCCIS56430.2022.10037701","DOIUrl":"https://doi.org/10.1109/ICCCIS56430.2022.10037701","url":null,"abstract":"Artificial intelligence and Blockchain are two of the most important forces driving innovation today. At the point when Blockchain and AI join their assets, this gives a more significant investigation of the viability of the details of the agreement, and the work processes it manages. Consequently, the requirement for human investigation, intercession and check, is enormously diminished. Man-made intelligence alludes to the capacity of machines to grasp, think, and learn likewise to people, demonstrating the chance of utilizing PCs to mimic human knowledge. A smart contract is computer code running on a blockchain that contains a set of norms by which the smart contract’s parties’ consent to communication between one another. Examining AI integration with smart contracts that are enabled by blockchain in the enhancing finance system operations is the main objective of this endeavor. AI is added to well-established smart contracts, their efficiency increases exponentially. This article presumes that AI and blockchain enabled smart contract will have an enormous effect in future for Finance industry and Digital trading.","PeriodicalId":286808,"journal":{"name":"2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114190703","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

An Investigation on Customer Satisfaction and Service Quality in the Indian Banking Sector: A Gender Comparison. 印度银行业客户满意度与服务质量调查:性别比较。

2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) Pub Date : 2022-11-04 DOI: 10.1109/ICCCIS56430.2022.10037745

D. Chauhan, Dr. Mridul Dharwal, Aarti Sharma, Anup Srivastava, S. Sahana

{"title":"An Investigation on Customer Satisfaction and Service Quality in the Indian Banking Sector: A Gender Comparison.","authors":"D. Chauhan, Dr. Mridul Dharwal, Aarti Sharma, Anup Srivastava, S. Sahana","doi":"10.1109/ICCCIS56430.2022.10037745","DOIUrl":"https://doi.org/10.1109/ICCCIS56430.2022.10037745","url":null,"abstract":"The economy growth in all sectors of India has been propelled by the banking sector since its inception and it leads a new dawn of evolution. In present scenario banks are needed to focus on service quality as it helps to cut the operating cost & holds complete benefits of competitive advantage, customer retention, increased profitability, increased efficiency, and financial performance. The competitive environment makes it difficult for individuals in the banking sector to continue to improve internally, to be more focused on capturing the desired target market, so that it forms the foundation for strengthening their position in the banking industry. The primary goal of every business, including banks, is to acquire and retain customers, as customers are a valuable corporate asset and a profit centre that assures the bank’s long-term viability. Service is not the same as a product. Therefore, The main goal of this study is to learn more about high-quality service and the impact of gender in customer satisfaction in the Indian banking business.","PeriodicalId":286808,"journal":{"name":"2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114450305","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

Alstonia Tree Detection using CNN and Inception V3 Algorithms 使用CNN和Inception V3算法的Alstonia树检测

2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) Pub Date : 2022-11-04 DOI: 10.1109/ICCCIS56430.2022.10037697

Mamatha Balipa, Ashton Castalino

引用次数: 1

Driver's Companion-Drowsiness Detection and Emotion Based Music Recommendation System 驾驶员同伴睡意检测及基于情绪的音乐推荐系统

2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) Pub Date : 2022-11-04 DOI: 10.1109/ICCCIS56430.2022.10037226

Mridu Pant, Shreel Trivedi, Samiksha Aggarwal, Ritu Rani, A. Dev, Poonam Bansal

{"title":"Driver's Companion-Drowsiness Detection and Emotion Based Music Recommendation System","authors":"Mridu Pant, Shreel Trivedi, Samiksha Aggarwal, Ritu Rani, A. Dev, Poonam Bansal","doi":"10.1109/ICCCIS56430.2022.10037226","DOIUrl":"https://doi.org/10.1109/ICCCIS56430.2022.10037226","url":null,"abstract":"Recent advancements and development in Deep Learning models and frameworks have opened doors to many possible applications of the same in order to tackle much more complex problems. In this paper, we tackle two major problems-drowsiness detection and emotion detection and create a combined system that can detect both emotional and physical state of user, and respond appropriately by alerting the user when they are showing signs of fatigue, and detecting their emotions in order to recommend appropriate entertainment in the form of music that can positively influence their experience. The driver drowsiness model includes the use of face landmark shape predictor and dlib library to detect the state of eyes in real time. If the eyelid is left closed for a few seconds, an alert is generated. For expression detection, a Convolutional Neural Network (CNN) trained on the FER2013 dataset is used for feature extraction and classification to one of 7 emotions. The music recommendation model is built based on Russell's model which classifies emotions based on valence and energy values. We successfully created a system that can accurately judge drowsiness in user as well as detect emotion with an accuracy of 83% and recommend songs based on user's emotional state.","PeriodicalId":286808,"journal":{"name":"2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117350732","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

Application of Machine Learning Techniques in Slope Failure Analysis 机器学习技术在边坡破坏分析中的应用

2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) Pub Date : 2022-11-04 DOI: 10.1109/ICCCIS56430.2022.10037595

Shatrujit Biswal, Simanchal Sahoo, Sudeep Ranjan Sethi, Sameer Panda, M. S. Chelva, Sameeran Kumar Das, A. K. Sahoo, Jitendra Pramanik

引用次数: 0

Ensemble Learning on a Weak Correlated Android Malware data using Stratified K-Fold 基于分层K-Fold的弱相关Android恶意软件数据集成学习

2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) Pub Date : 2022-11-04 DOI: 10.1109/ICCCIS56430.2022.10037646

P. Soundrapandian, S. Geetha

{"title":"Ensemble Learning on a Weak Correlated Android Malware data using Stratified K-Fold","authors":"P. Soundrapandian, S. Geetha","doi":"10.1109/ICCCIS56430.2022.10037646","DOIUrl":"https://doi.org/10.1109/ICCCIS56430.2022.10037646","url":null,"abstract":"In Android apps communicates with other apps by using Intent or PendingIntent. An Intent enables Android applications to share information between apps (like data, action, etc.,), and the PendingIntent delegate’s authority to other apps to perform the required action in the future. Android supports apps to collaborate with any $3^{mathrm{rd}}$ party apps using a flexible communication model called Implicit Intent-based Communication. Though this communication channel is effective in collaboration it is unprotected and unsafe by default. Any application (even malware) can register to this implicit channel, and thereby can sniff the intents exchanged through the channel, making it vulnerable to malware attacks. In case, if an app is exchanging its sensitive data like GPS location or exchanging PendingIntent using implicit intents, in turn, this leads to unauthorized access and privilege escalation attacks. In this paper, we leverage the machine-learning techniques for security predictions in order to identify such possible threats from the apps’ binary inspection, and thereby our research can assist cyber forensic tools to identify the vulnerabilities caused by dynamic characteristics present in an application before executing the application itself. This paper presents a statistical model to analyze the malware nature of a mobile application: (1) based on the PendingIntent Flag usages, and (2) based on the type of Broadcast across apps. Our app classification achieved an F-score of 78.7%.","PeriodicalId":286808,"journal":{"name":"2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128684655","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

Ultra-low power dB linear variable gain amplifier with minimalistic Noise using Adaptive biasing 超低功率dB线性可变增益放大器，采用自适应偏置，噪声极小

2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) Pub Date : 2022-11-04 DOI: 10.1109/ICCCIS56430.2022.10037602

S. Soni, V. Niranjan, Ashwni Kumar

{"title":"Ultra-low power dB linear variable gain amplifier with minimalistic Noise using Adaptive biasing","authors":"S. Soni, V. Niranjan, Ashwni Kumar","doi":"10.1109/ICCCIS56430.2022.10037602","DOIUrl":"https://doi.org/10.1109/ICCCIS56430.2022.10037602","url":null,"abstract":"In this paper an ultra-low power high bandwidth dB linear circuitry has been proposed. The proposed work exhibits higher dynamic range of gain with zero equaling gain error. The working principle of the circuit is to provide variable gain, which is why it is called variable gain amplifier. The proposed circuitry has been designed in such a way so that we can get zero gain error. The circuit has designed and tested on Cadence EDA tool with UMC_180nm CMOS technology node. Unlikely in general topology, proposed circuit has pull up unit which includes both n-mos and p-mos transistors. In order to achieve linearity in gain, the working of the pair of transistors able to provide exponential function at the output, which improves the circuitry in terms of area. For optimizing minimal gain error, VGA is more challenging to implement because it, s higher gain error which has been reduced in this work by using cross-coupled diode connected load with I-2I technique. The proposed design offers 72dB gain out of which 50dB is dB-linear with less than 0.5 gain error. Input referred noise for one unit is 3.2nV/$surdmathrm{Hz}$. The improvised bandwidth is 219.766 MHz.4 cell VGA has been designed and tested the total power consumption is less than 120uW. Total input referred noise is 6.3nV/$sqrt{mathrm{Hz}}$.","PeriodicalId":286808,"journal":{"name":"2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129886430","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

Breast Cancer Prediction using Ensemble Technique 用集合技术预测乳腺癌

2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) Pub Date : 2022-11-04 DOI: 10.1109/ICCCIS56430.2022.10037589

Sheilla Ann B. Pacheco

引用次数: 0

RNet-SGDG: An Improved Anti-Spoofing Time Efficient Framework for Face Recognition Using Deep Learning RNet-SGDG:一种改进的基于深度学习的抗欺骗高效人脸识别框架

2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) Pub Date : 2022-11-04 DOI: 10.1109/ICCCIS56430.2022.10037703

Shilpa Garg, S. Mittal, Pardeep Kumar

{"title":"RNet-SGDG: An Improved Anti-Spoofing Time Efficient Framework for Face Recognition Using Deep Learning","authors":"Shilpa Garg, S. Mittal, Pardeep Kumar","doi":"10.1109/ICCCIS56430.2022.10037703","DOIUrl":"https://doi.org/10.1109/ICCCIS56430.2022.10037703","url":null,"abstract":"Deep Learning Methods are efficiently used in image classification and computer vision these days like surveillance systems, gender prediction, defense, mobile applications, and face recognition. But due to the problem of different types of Spoofing attacks and the time to recognize a person, robust face recognition is still a challenging problem for researchers. This paper proposed a time efficient and anti-Spoofing face recognition which makes the system robust. Deep residual learning ReSNeTl01 is used to extract the deep features of face images. After the feature extraction, Classification is done in two steps. Firstly, the real spoof attack predictor is used to check the liveness of a person and after that subject-id is predicted in the second step. The stochastic Gradient Descent (SGD) classifier is used to classify the spoof or live person and the Gaussian Naivy Bayes classifier is used to recognize the person. The Replay Attack dataset is used for the experiment and achieves 99.724% accuracy, 99.687% f1-score, and 0.308 Seconds recognition time which is better than the existing techniques.","PeriodicalId":286808,"journal":{"name":"2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126653171","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