2020 2nd International Conference on Computer and Information Sciences (ICCIS)最新文献_第7页

Melayu Grid: Sharing Language Service to Bridge Cultural Difference melayyu网格:共享语言服务，跨越文化差异

2020 2nd International Conference on Computer and Information Sciences (ICCIS) Pub Date : 2020-10-13 DOI: 10.1109/ICCIS49240.2020.9257691

Arif Bramantoro, I. Syamsuddin

引用次数: 1

Low-cost Electromechanical Bionic Model for Foot Drop Gait Disability 低成本足下垂步态残疾机电仿生模型

2020 2nd International Conference on Computer and Information Sciences (ICCIS) Pub Date : 2020-10-13 DOI: 10.1109/ICCIS49240.2020.9257672

M. Aboamer, N. Mohamed, Bakheet Alrashide

{"title":"Low-cost Electromechanical Bionic Model for Foot Drop Gait Disability","authors":"M. Aboamer, N. Mohamed, Bakheet Alrashide","doi":"10.1109/ICCIS49240.2020.9257672","DOIUrl":"https://doi.org/10.1109/ICCIS49240.2020.9257672","url":null,"abstract":"Based on reports of the World Health organization there are billion people around the world suffer from disability. Foot drop is a gait abnormality in which a dropping of the forefoot causes a difficulty in lifting the front part of the foot. Unfortunately, large number of existing mechanical models for gait are integrated with another machines, i.e. treadmills or other platforms, which make it impossible to get benefit of using them as portable systems. And as wearable rehabilitation robotic systems or bionic models for personal use - specially for gait rehabilitation and drop foot - are still rare, an electro-mechanical design is introduced here to be a simple and wearable bionic model to help patients with foot drop in walking. The proposed design contains low-cost stepper motor and controller to facilitate patient movement. Stress, strain and displacement analysis were performed on the model using the von Mises finite element analysis, and by applying a 20 kg load on the front area of the foot model the analysis produced a maximum yield strength of 2.0052×108N.m−2 and a maximum displacement of 1.00371 mm.","PeriodicalId":425637,"journal":{"name":"2020 2nd International Conference on Computer and Information Sciences (ICCIS)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128873648","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

Machine Learning for Real-time Data Reduction in Cloud of Things 物云中实时数据缩减的机器学习

2020 2nd International Conference on Computer and Information Sciences (ICCIS) Pub Date : 2020-10-13 DOI: 10.1109/ICCIS49240.2020.9257645

Atheer Alahmed, A. Alrasheedi, Maha Alharbi, Norah Alrebdi, Marwan Aleasa, T. Moulahi

{"title":"Machine Learning for Real-time Data Reduction in Cloud of Things","authors":"Atheer Alahmed, A. Alrasheedi, Maha Alharbi, Norah Alrebdi, Marwan Aleasa, T. Moulahi","doi":"10.1109/ICCIS49240.2020.9257645","DOIUrl":"https://doi.org/10.1109/ICCIS49240.2020.9257645","url":null,"abstract":"In the last few years, the number of Internet of Things devices (e.g., smart sensors) connected to the internet has increased significantly and is expected to exceed ten billion devices in the next few years. These devices generate massive amounts of data continuously that needs to be collected, stored, and analyzed for real-time monitoring and smarter decision making support in underlying systems. In this context, cloud computing provides significant potential to store and analyze data. However, several obstacles exist when applying cloud-based solutions to real-time data analysis, including network bandwidth size, energy consumption, cloud storage, and processing costs all due to overwhelming data generation. The paper aims to evaluate machine learning techniques (e.g., principal component analysis, independent component analysis, and singular value decomposition) to reduce unnecessary data in a network edge (e.g., Internet of Things gateways), minimizing bandwidth and energy consumption while avoiding high storage and processing costs through more efficient cloud analysis.","PeriodicalId":425637,"journal":{"name":"2020 2nd International Conference on Computer and Information Sciences (ICCIS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130055796","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

Design and Implementation of a Hand Gesture Based Digital Lock Demonstrator 基于手势的数字锁演示器的设计与实现

2020 2nd International Conference on Computer and Information Sciences (ICCIS) Pub Date : 2020-10-13 DOI: 10.1109/ICCIS49240.2020.9257688

L. Yaseen, O. Mousa, R. Alawani, S. Qaisar

引用次数: 0

A novel feature selection technique based on Roach Infestation Optimization for Internet Traffic Classification 基于蟑螂入侵优化的网络流量分类特征选择方法

2020 2nd International Conference on Computer and Information Sciences (ICCIS) Pub Date : 2020-10-13 DOI: 10.1109/ICCIS49240.2020.9257694

D. Boughaci, Fatma Belaidi, Imene Kerkouche

引用次数: 1

Exam Questions Classification Based on Bloom's Taxonomy: Approaches and Techniques 基于Bloom分类法的试题分类:方法与技术

2020 2nd International Conference on Computer and Information Sciences (ICCIS) Pub Date : 2020-10-13 DOI: 10.1109/ICCIS49240.2020.9257698

K. Makhlouf, L. Amouri, Nada Chaabane, Nahla El-Haggar

引用次数: 4

Comparative Review of Pipelines Monitoring and Leakage Detection Techniques 管道监测与泄漏检测技术的比较综述

2020 2nd International Conference on Computer and Information Sciences (ICCIS) Pub Date : 2020-10-13 DOI: 10.1109/ICCIS49240.2020.9257602

Khalid Ghanim Aljuaid, Mohammad Abdulwahab Albuoderman, Emad Abdullah AlAhmadi, J. Iqbal

引用次数: 2

Towards a Semantic Web Solution Based on a JSON-LD Mapping Mechanism for an Adaptive Learning System with Experience API 基于JSON-LD映射机制的具有经验API的自适应学习系统语义Web解决方案

2020 2nd International Conference on Computer and Information Sciences (ICCIS) Pub Date : 2020-10-13 DOI: 10.1109/ICCIS49240.2020.9257678

Abdellah Bakhouyi, Amine Dehbi, R. Dehbi, M. Banane, M. Talea

引用次数: 1

A Novel Approach to Classify Electrocardiogram Signals Using Deep Neural Networks 一种基于深度神经网络的心电图信号分类新方法

2020 2nd International Conference on Computer and Information Sciences (ICCIS) Pub Date : 2020-10-13 DOI: 10.1109/ICCIS49240.2020.9257700

Tasnim Ahmed, A. Rahman, Tareque Mohmud Chowdhury, Rafsanjany Kushol, Md. Nishat Raihan

{"title":"A Novel Approach to Classify Electrocardiogram Signals Using Deep Neural Networks","authors":"Tasnim Ahmed, A. Rahman, Tareque Mohmud Chowdhury, Rafsanjany Kushol, Md. Nishat Raihan","doi":"10.1109/ICCIS49240.2020.9257700","DOIUrl":"https://doi.org/10.1109/ICCIS49240.2020.9257700","url":null,"abstract":"Atrial fibrillation (AF) is an unusual heart rhythm condition which is caused by sporadic firing of electrical impulses from multiple places in the atria. AF is considered to be one of the leading cause of stroke in the world. AF is usually screened manually with the help of Electrocardiodiagram (ECG) reading. The manual process of reading ECG is a tedious and time-consuming task which is laden with human errors. Therefore, an automated process is quintessential. However, discerning anomaly in heart function using an efficient automated process has been a challenging task for quite some time. In this paper, the authors propose an intricate Neural Network architecture, CNN+LSTM, for the classification amongst four types of heart condition-Normal, Atrial Fibrillation, Noisy Sinus Rhythm and Alternative Rhythms using a dataset from PhysioNet/2017challenge. Volunteers in PhysioNet/2017 challenge dataset came from diverse backgrounds and had a wide window of variation in their physical attributes, making the dataset sufficiently reliable. In addition, the number of samples in this dataset exceeded any other before it on this topic, which further adds to the comprehensiveness of this dataset. The authors' method reached a summit accuracy of 91.19% using the proposed model.","PeriodicalId":425637,"journal":{"name":"2020 2nd International Conference on Computer and Information Sciences (ICCIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128755887","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

Ransomware: A Framework for Security Challenges in Internet of Things 勒索软件:物联网安全挑战的框架

2020 2nd International Conference on Computer and Information Sciences (ICCIS) Pub Date : 2020-10-13 DOI: 10.1109/ICCIS49240.2020.9257660

S. Saeed, Noor Zaman Jhanjhi, M. Naqvi, M. Humayun, Shakeel Ahmed

{"title":"Ransomware: A Framework for Security Challenges in Internet of Things","authors":"S. Saeed, Noor Zaman Jhanjhi, M. Naqvi, M. Humayun, Shakeel Ahmed","doi":"10.1109/ICCIS49240.2020.9257660","DOIUrl":"https://doi.org/10.1109/ICCIS49240.2020.9257660","url":null,"abstract":"With the increasing volume of smartphones, computers, and sensors in the Internet of Things (IoT) model, enhancing security and preventing ransom attacks have become a major concern. Traditional security mechanisms are no longer applicable due to the involvement of devices with limited resources, which require more computing power and resources. Ransomware is comparatively a new and cruel malware in cyberspace with higher rates of attacks around the world. Ransomware could encrypt entire data to make users unable to access their files and important information. In some cases, the system has been hostage completely by the hackers, and the user may receive a demand for ransom money using different resources o access of his/her own data/system. One of the problems associated with the Internet of Things is how to keep your smartphones secure and keep your data safe as most of the antivirus solutions are not useful in this case. This research concludes the impact of ransomware on the IoT, malware processes, and work on detecting and monitoring smartphone infections. The paper also discusses ransomware awareness to end-user with strategy to defeat it.","PeriodicalId":425637,"journal":{"name":"2020 2nd International Conference on Computer and Information Sciences (ICCIS)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125851389","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: 5