2021 4th International Conference on Computing & Information Sciences (ICCIS)最新文献_第4页

œ-Boids Consensus Algorithm using Adaptive Flocking Model œ-Boids基于自适应群集模型的共识算法

2021 4th International Conference on Computing & Information Sciences (ICCIS) Pub Date : 2021-11-29 DOI: 10.1109/ICCIS54243.2021.9676404

M. Gulzar, Muhammad Munawar, Javaria Khalil, Daud Sibtain, Adeel Ahmed

引用次数: 4

DeepFake Detection Using Error Level Analysis and Deep Learning 使用错误级别分析和深度学习的深度伪造检测

2021 4th International Conference on Computing & Information Sciences (ICCIS) Pub Date : 2021-11-29 DOI: 10.1109/ICCIS54243.2021.9676375

Rimsha Rafique, M. Nawaz, Hareem Kibriya, Momina Masood

{"title":"DeepFake Detection Using Error Level Analysis and Deep Learning","authors":"Rimsha Rafique, M. Nawaz, Hareem Kibriya, Momina Masood","doi":"10.1109/ICCIS54243.2021.9676375","DOIUrl":"https://doi.org/10.1109/ICCIS54243.2021.9676375","url":null,"abstract":"The image recognition software is used in numerous distinctive industries that include entertainment and media. The deep learning (DL) algorithms have been of great help in the development of several techniques used for creating, altering, and locating any data. The deepfake method is a photo-faking technique that includes replacing two people's faces to an extent that it becomes very difficult to identify it with a naked eye. The convolution neural network (CNN) models including Alex Net and Shuffle Net are used to recognize genuine and counterfeit face images in this article. The technique analyzes the performance and working of all distinctive algorithms using the real/fake face recognition collection from Yonsei University's Computational Intelligence Photography Lab. The first step in the process starts by the normalizing of pictures then the Error Level Analysis is carried out before it is put into several difference CNN models. Then the in-depth features are extracted from the CNN models utilizing the Support Vector Machine and the K-nearest neighbor methods. The most perfect accuracy of 88.2% of Shuffle Net via KNN was analyzed while Alex Net's vector had the accuracy of 86.8%.","PeriodicalId":165673,"journal":{"name":"2021 4th International Conference on Computing & Information Sciences (ICCIS)","volume":"133 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125799711","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: 8

A Support Vector Regression based Machine Learning method for on-chip Aging Estimation 基于支持向量回归的片上老化估计机器学习方法

2021 4th International Conference on Computing & Information Sciences (ICCIS) Pub Date : 2021-11-29 DOI: 10.1109/ICCIS54243.2021.9676376

Turki Alnuayri, A. L. H. Martínez, S. Khursheed, Daniele Rossi

{"title":"A Support Vector Regression based Machine Learning method for on-chip Aging Estimation","authors":"Turki Alnuayri, A. L. H. Martínez, S. Khursheed, Daniele Rossi","doi":"10.1109/ICCIS54243.2021.9676376","DOIUrl":"https://doi.org/10.1109/ICCIS54243.2021.9676376","url":null,"abstract":"Semiconductor supply chain industry is spread worldwide to reduce cost and to meet the electronic systems high demand for ICs, and with the era of internet of things (IoT), the estimated numbers of electronic devices will rise over trillions. This drift in the semiconductor supply chain produces high volume of e-waste, which affects integrated circuits (ICs) security and reliability through counterfeiting, i.e., recycled and remarked ICs. Utilising recycled IC as a new one or a remarked IC to upgrade its level into critical infrastructure such as defence or medical electronics may cause systems failure, compromising human lives and financial loss. This paper harvests aging degradation induced by BTI and HCI, observing frequency and discharge time affected by changes in drain current and sub-threshold leakage current over time, respectively. Such task is undertaken by Cadence simulations, implementing a 51-stage ring oscillator (51-RO) using 22nm CMOS technology library and aging model provided by GlobalFoundries (GF). Machine learning (ML) algorithm of support vector regression (SVR) is adapted for this application, using a training process that involves operating temperature, discharge time, frequency, and aging time. The data sampling is performed over an emulated 12 years period with four representative temperatures of 20° C, 40° C, 60° C, and 80° C with additional testing data from temperatures of 25° C and 50° C. The results demonstrate a high accuracy on aging estimation by SVR, reported as a normal distribution with the mean (µ) equal to 0.01 years (3.6 days) and a standard deviation (σ) of ±0.1 years (±36 days).","PeriodicalId":165673,"journal":{"name":"2021 4th International Conference on Computing & Information Sciences (ICCIS)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126464810","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

Geographical Distance Issues and their Mitigation Strategies in GSD: A Systematic Literature Review towards Conceptual Framework GSD中的地理距离问题及其缓解策略:对概念框架的系统文献综述

2021 4th International Conference on Computing & Information Sciences (ICCIS) Pub Date : 2021-11-29 DOI: 10.1109/ICCIS54243.2021.9676377

Nadia Ka e nat, U. Janjua, Tahir Mustafa Madni

引用次数: 4

Multi-Sensor SLAM for efficient Navigation of a Mobile Robot 基于多传感器SLAM的移动机器人高效导航

2021 4th International Conference on Computing & Information Sciences (ICCIS) Pub Date : 2021-11-29 DOI: 10.1109/ICCIS54243.2021.9676374

Muhammad Shahzad Alam Khan, Danish Hussian, Yasir Ali, Faisal Rehman, A. B. Aqeel, U. S. Khan

引用次数: 1

Leukocytes Segmentation and Classification in Digital Microscopic Images 数字显微图像中白细胞的分割与分类

2021 4th International Conference on Computing & Information Sciences (ICCIS) Pub Date : 2021-11-29 DOI: 10.1109/ICCIS54243.2021.9676191

Muhammad Abbas Hussain, Ibtihaj Ahmad, A. Shaukat, Zain UI Islam

{"title":"Leukocytes Segmentation and Classification in Digital Microscopic Images","authors":"Muhammad Abbas Hussain, Ibtihaj Ahmad, A. Shaukat, Zain UI Islam","doi":"10.1109/ICCIS54243.2021.9676191","DOIUrl":"https://doi.org/10.1109/ICCIS54243.2021.9676191","url":null,"abstract":"Image processing and machine learning have recently gained positive contributions to various medical procedures. One of the diagnostic processes' essential requirements in many diseases is laboratory tests, such as the Complete Blood Count (CBC) test. In CBC, various leukocytes, also known as White Blood Cells (WBC), are segmented, classified, and counted by a lab technician in microscopic slides. This process is very tiresome and requires a human technician with specialized skill sets. This research proposes a fully automatic algorithm for the segmentation and classification of white blood cells. The proposed method applies pre-processing techniques to digital microscopic images. White blood cells are then segmented based on color pallets. Hybrid features are extracted from the segmented images based on the fusion of local binary patterns and statistical features. Then various classifiers are used for the classification of WBC. Results suggest that the Support Vector Machine (SVM) and Artificial Neural Networks (ANN) outclass other classifiers. It was observed that the proposed methodology outperformed existing methods in terms of classification accuracy (97.5%).","PeriodicalId":165673,"journal":{"name":"2021 4th International Conference on Computing & Information Sciences (ICCIS)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116005361","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

Evaluation of descriptive answers of open ended questions using NLP techniques 使用NLP技术评估开放式问题的描述性答案

2021 4th International Conference on Computing & Information Sciences (ICCIS) Pub Date : 2021-11-29 DOI: 10.1109/ICCIS54243.2021.9676405

Hira Ahmed, Saman Hina, R. Asif

引用次数: 1