2021 4th International Conference on Computing & Information Sciences (ICCIS)最新文献_第3页

E-Health Care With Smart Hospital in Pervasive Environment 普及环境下的电子医疗与智慧医院

2021 4th International Conference on Computing & Information Sciences (ICCIS) Pub Date : 2021-11-29 DOI: 10.1109/ICCIS54243.2021.9676380

Laila Nawaz, Imam Dad

{"title":"E-Health Care With Smart Hospital in Pervasive Environment","authors":"Laila Nawaz, Imam Dad","doi":"10.1109/ICCIS54243.2021.9676380","DOIUrl":"https://doi.org/10.1109/ICCIS54243.2021.9676380","url":null,"abstract":"Human life is so precious thing in the world. To cure patient from critical condition, along with pharmaceutical medicine many biomedical devices are also implanted on patient. Some devices are used to assist the patient i.e. Defibrillator, Ventilator, Infant Incubator etc. Some devices i.e. Patient Monitor, ECG etc. are used to acquire different vital signs that can be used to keep abreast the doctor with patient“s current situation and alert them on abnormal symptoms. When a patient gets into critical condition then there is a situation of hassle to find out the required biomedical device in near far location. These devices are costly and cannot be purchased in bulk quantity that's why central and short term management of said devices especially in worldwide pandemic i.e. COVID 19 are mandatory. The main focus of our research is to offer the biomedical device which is available in close proximity/ near far location from place of occurrence. Asset management systems are exist which can only be provided the location of desired biomedical device but did not consider the near far location from the place of occurrence. Moreover our system is also capable to keep track the biomedical devices by its location. To implement the said system, we used the different sensors, Arduino, communication protocol, Dijkstra Algorithm etc. A web interface is developed to run on hospital gadgets and all the information related to patient and biomedical devices are automatically be updated. We analyzed our system with accuracy, precision, recall and F-secure and found the results.","PeriodicalId":165673,"journal":{"name":"2021 4th International Conference on Computing & Information Sciences (ICCIS)","volume":"1 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":"130242463","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

An ARM Cortex Microcontroller Based Solution for Real-Time Extraction and Classification of Autoregressive EEG Features 基于ARM Cortex微控制器的自回归脑电特征实时提取与分类解决方案

2021 4th International Conference on Computing & Information Sciences (ICCIS) Pub Date : 2021-11-29 DOI: 10.1109/ICCIS54243.2021.9676188

Faisal Mehmood, Abdul Haseeb, M. Aqil

{"title":"An ARM Cortex Microcontroller Based Solution for Real-Time Extraction and Classification of Autoregressive EEG Features","authors":"Faisal Mehmood, Abdul Haseeb, M. Aqil","doi":"10.1109/ICCIS54243.2021.9676188","DOIUrl":"https://doi.org/10.1109/ICCIS54243.2021.9676188","url":null,"abstract":"Recent years have seen a boom in the use of Electroencephalography (EEG) to catch brain waves because of its high temporal resolution, non-invasive nature, and affordability. However, most of the EEG processing solutions are based on computers or proprietary ASICs. This paper presents a low-cost general-purpose microcontroller based system that can extract and classify EEG features in real-time (up to 40k samples/sec/channel) for the purpose of controlling the movement of a robot in two directions: left and right. The microcontroller employs Recursive Least Squares (RLS) algorithm to extract the autoregressive (AR) features from EEG signals, and then classifies them using Linear Discriminant Analysis (LDA) classifier. A microcontroller implementation has various advantages over computer based systems: reduced power consumption, weight and cost. Also, availability of low-level I/O controls make it possible to handle sensors and actuators without the need of additional hardware. These advantages are most prominent in embedded systems (such as wheel chairs, powered prosthesis etc.) where limited energy is available to power the processor and carry weights.","PeriodicalId":165673,"journal":{"name":"2021 4th International Conference on Computing & Information Sciences (ICCIS)","volume":"86 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":"122492102","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 Comprehensive Survey of Sentiment Analysis Based on User Opinion 基于用户意见的情感分析研究综述

2021 4th International Conference on Computing & Information Sciences (ICCIS) Pub Date : 2021-11-29 DOI: 10.1109/ICCIS54243.2021.9676400

Amber Haroon, Toqeer Mahmood, Rehan Ashraf, Muhammad Asif, S. Naseem, Abdul Wahab Khan

{"title":"A Comprehensive Survey of Sentiment Analysis Based on User Opinion","authors":"Amber Haroon, Toqeer Mahmood, Rehan Ashraf, Muhammad Asif, S. Naseem, Abdul Wahab Khan","doi":"10.1109/ICCIS54243.2021.9676400","DOIUrl":"https://doi.org/10.1109/ICCIS54243.2021.9676400","url":null,"abstract":"In this modern era online shopping is getting a lot of attention. Thousands of reviews are available from the customers on different social media platforms which makes it difficult for the user to make a purchasing decision. For a better understanding of user opinion, sentiment analysis (also known as opinion mining) has been conducted which makes a major effect on the purchasing decision of the user. Opinion mining is defined in terms of entities, emotions, and textual relationships. User opinions on e-commerce websites or social media apps have a huge impact on product stakeholders. Over the past decades, researchers, the public sector, and the service industry are carrying out opinion mining, to eradicate and examine community sentiments and opinions. This paper presents a survey of recent studies conducted for sentiment analysis based on user opinion through machine learning techniques (focusing on supervised, semi-supervised, reinforcement, and unsupervised learning), deep learning techniques (focusing on CNN, RNN, and LSTM), and provide the background knowledge.","PeriodicalId":165673,"journal":{"name":"2021 4th International Conference on Computing & Information Sciences (ICCIS)","volume":"77 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":"128828150","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

Evolution of IoT in Cloud Computing: Risk Analysis and Potential Solutions 云计算中的物联网演进:风险分析和潜在解决方案

2021 4th International Conference on Computing & Information Sciences (ICCIS) Pub Date : 2021-11-29 DOI: 10.1109/ICCIS54243.2021.9676397

Sadia Zar, S. Gilani, Abdur Rehman Riaz, Rafia Mukhtar Abbasi, Isma Hameed

{"title":"Evolution of IoT in Cloud Computing: Risk Analysis and Potential Solutions","authors":"Sadia Zar, S. Gilani, Abdur Rehman Riaz, Rafia Mukhtar Abbasi, Isma Hameed","doi":"10.1109/ICCIS54243.2021.9676397","DOIUrl":"https://doi.org/10.1109/ICCIS54243.2021.9676397","url":null,"abstract":"The Internet of Things (IoT) has become a part of every field of life and is growing rapidly with time. However, IoT faces many challenges such as storage capability, processing, accessibility, security, energy consumption etc. Cloud computing is a technology used to store and compute data more efficiently over the internet so that it can be accessible to its users anywhere at any time. The evolution of IoT in cloud computing opens a new arena of innovation research and rapid development of upcoming tools and technologies. Using Cloud computing in integration with IoT brings many advantages to IoT and the cloud. IoT and cloud both shield gaps of each other, however still, some issues need to be addressed for network efficiency such as security risk identification and management. This paper presents the difference between the cloud computing and internet of things by using some common variables and analyze the particular key challenges. Afterword we propose significant solutions to the problems occurring with the integration of IoT in Cloud Computing. This research analysis helps the researcher to understand the security threats to build efficient network policies.","PeriodicalId":165673,"journal":{"name":"2021 4th International Conference on Computing & Information Sciences (ICCIS)","volume":"75 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":"130744423","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

The Identification of Influential Factors to Evaluate the Kids Smartphone Addiction: A Literature Review 儿童智能手机成瘾影响因素的识别:文献综述

2021 4th International Conference on Computing & Information Sciences (ICCIS) Pub Date : 2021-11-29 DOI: 10.1109/ICCIS54243.2021.9676392

Bilal Khan, U. Janjua, Tahir Mustafa Madni

{"title":"The Identification of Influential Factors to Evaluate the Kids Smartphone Addiction: A Literature Review","authors":"Bilal Khan, U. Janjua, Tahir Mustafa Madni","doi":"10.1109/ICCIS54243.2021.9676392","DOIUrl":"https://doi.org/10.1109/ICCIS54243.2021.9676392","url":null,"abstract":"In this contemporary epoch of digitization, the smartphone is the key technological invention that influences the life of everyone. Among the users, kids are the emerging group as they have faced the ubiquity of such devices. Kids spend a considerable amount of time using smartphones at homes, schools, and public places, which leads to addiction. The relevant addiction and adverse effects have become a critical problem among adolescents. However, to our knowledge, there is no comprehensive study that investigates the cell phone usage pattern, multifaceted influencing factors, and negative consequences of a smartphone on kids. To address these issues, we conducted a two-fold exploratory study. We performed a systematic literature review to identify the influential factors and adverse effects related to kid's smartphone addiction. Subsequently, we presented a conceptual smartphone addiction model to highlight the significance of the influencing factors and their consequences. The results show that 1) parental usage, peer influence, watching videos, learning applications and playing games are critical factors that have a significant impact on smartphone addiction among kids. 2) withdrawal, silence, anxiety and depression are the main adverse effects of addiction. 3) the proposed conceptual addiction model enables the significance of factors and aids parents to mitigate the causes accordingly.","PeriodicalId":165673,"journal":{"name":"2021 4th International Conference on Computing & Information Sciences (ICCIS)","volume":"38 1 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":"125874810","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

Analyzing the quality of responses of Pakistani software developers over stack overflow 分析巴基斯坦软件开发人员对堆栈溢出的响应质量

2021 4th International Conference on Computing & Information Sciences (ICCIS) Pub Date : 2021-11-29 DOI: 10.1109/ICCIS54243.2021.9676399

Noman Islam, S. Rizvi, Maaz Anzar

引用次数: 0

Attention based Covid-19 Detection using Generative Adversarial Network 基于注意力的生成对抗网络Covid-19检测

2021 4th International Conference on Computing & Information Sciences (ICCIS) Pub Date : 2021-11-29 DOI: 10.1109/ICCIS54243.2021.9676189

A. Siddiqui, A. Ahmed, A. Saleem, Zeshan Khan Alvi, T. Alam, Rizwan Qureshi

引用次数: 1

Comparative Study of Deep Learning Models For Automatic Detection of Metastases in H&E Stained Images H&E染色图像转移自动检测的深度学习模型比较研究

2021 4th International Conference on Computing & Information Sciences (ICCIS) Pub Date : 2021-11-29 DOI: 10.1109/ICCIS54243.2021.9676187

Bilal Ahmad, Sun Jun, Jinxing Li, Bai Lidan

{"title":"Comparative Study of Deep Learning Models For Automatic Detection of Metastases in H&E Stained Images","authors":"Bilal Ahmad, Sun Jun, Jinxing Li, Bai Lidan","doi":"10.1109/ICCIS54243.2021.9676187","DOIUrl":"https://doi.org/10.1109/ICCIS54243.2021.9676187","url":null,"abstract":"Deep learning has gained the attention of researchers around the world. We used several deep learning models to check whether they could potentially be used as a clinical utility by pathologists to detect lymph node metastases in tissue sections of women with breast cancer to save time and reduce the burden on healthcare. For that purpose, we selected three deep learning models of different depths. The deepest one (DenseNet201), medium depth (Resent50), lightweight (Mobie/Net) and trained them in different experiments under various hyperparameters settings from scratch. The test set consists of 32000 histopathological images. We used absolute accuracy, sensitivity, specificity, and F1-score as a performance measure. Apart from these measures, we observe the effect of data augmentation and the number of epochs on the classification performance. We achieved an average accuracy of 85.6%, 87.5%, and 88.4% for MobileNet V1, ResNet50, and DenseNet201, respectively, which further improves to 91.1 %, 93.8%, and 95.7%, respectively, when augmented images are used in the training set. The performance of all deep learning models was on par with that of expert pathologists reported in different studies. We may expect that deep learning could be an exceptional utility for clinicians in real-time diagnosis too.","PeriodicalId":165673,"journal":{"name":"2021 4th International Conference on Computing & Information Sciences (ICCIS)","volume":"83 2 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":"132968287","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

Factors Influencing Student Satisfaction in Distance Learning Environment: A Systematic Literature Review 远程教育环境中影响学生满意度的因素:系统文献综述

2021 4th International Conference on Computing & Information Sciences (ICCIS) Pub Date : 2021-11-29 DOI: 10.1109/ICCIS54243.2021.9676373

Irfan Kazim, U. Janjua

引用次数: 0

Communication System For Non-Verbal Paralyzed Patients Using Computer Vision 基于计算机视觉的非语言瘫痪患者交流系统

2021 4th International Conference on Computing & Information Sciences (ICCIS) Pub Date : 2021-11-29 DOI: 10.1109/ICCIS54243.2021.9676383

Usman Hassan, Hamza Ahmed Khan, Hamdah Khan, M. Owais

引用次数: 0