2020 3rd International Conference on Information and Computer Technologies (ICICT)最新文献_第2页

Exploring the Influence of Organizational Context on Cross-boundary Information-Sharing Initiatives: The Case of the Saudi’s Government Secure Bus 探讨组织情境对跨界信息共享举措的影响:以沙特政府安全巴士为例

2020 3rd International Conference on Information and Computer Technologies (ICICT) Pub Date : 2020-03-01 DOI: 10.1109/ICICT50521.2020.00036

Mohammed A. Gharawi, Hashim H. Alneami

{"title":"Exploring the Influence of Organizational Context on Cross-boundary Information-Sharing Initiatives: The Case of the Saudi’s Government Secure Bus","authors":"Mohammed A. Gharawi, Hashim H. Alneami","doi":"10.1109/ICICT50521.2020.00036","DOIUrl":"https://doi.org/10.1109/ICICT50521.2020.00036","url":null,"abstract":"This study addresses the organizational factors influencing cross-boundary information sharing (CBIS) initiatives within the context of Saudi Arabia (SA). The study starts by synthesizing the pertinent literature toward implementing an integrated model for the organizational factors influencing CBIS. A qualitative research approach was used to guide the research and the data was collected using interviews and documentation. The study shows that the adoption of the Government Secure Bus (GSB), implemented to facilitate information sharing between government agencies in SA, is influenced by nine factors identified by previous research. These factors include goals and interests of participating organizations, trust, executive support, risks, costs, benefits, authority and hierarchical structures, organizational culture, and leadership. Additionally, the study pointed to three additional factors that influence GSB adoption. The additional factors include mimetic pressures, e-government transformation measurement, and organizations’ perception of data quality.","PeriodicalId":445000,"journal":{"name":"2020 3rd International Conference on Information and Computer Technologies (ICICT)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126560531","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

Intrusion Detection: Issues, Problems and Solutions 入侵检测:问题、问题和解决方案

2020 3rd International Conference on Information and Computer Technologies (ICICT) Pub Date : 2020-03-01 DOI: 10.1109/ICICT50521.2020.00070

O. A. Adeleke

引用次数: 2

Significance of Agile Software Development and SQA Powered by Automation 敏捷软件开发和自动化驱动的SQA的意义

2020 3rd International Conference on Information and Computer Technologies (ICICT) Pub Date : 2020-03-01 DOI: 10.1109/ICICT50521.2020.00009

Bilal Gonen, D. Sawant

{"title":"Significance of Agile Software Development and SQA Powered by Automation","authors":"Bilal Gonen, D. Sawant","doi":"10.1109/ICICT50521.2020.00009","DOIUrl":"https://doi.org/10.1109/ICICT50521.2020.00009","url":null,"abstract":"Today's software industry is fast moving and has daily changing demands. Many organizations are struggling to cope up with these emerging demands and they are looking for change in software development. Agile is most popular software development strategy in today's software industry, Agile provides different methods, organizations can choose suitable method to implement agility. Among all agile methods, Scrum is the most popular as of today. Although, agile is well suitable for large organization with distributed systems. Agile method such as 'scrum' can be improved further and it can work with other process and automation tools coupled with agile artifacts to improve software development team's performance such a solution can be applied to large scale industries. As no one solution is best suitable for today's business, hence the concept of 'Agile Genome' is becoming more popular, which encourages organizations to use combination of other methods and automation tools that can be used based on the application. Hence there is a need of discussing areas where agile and automation can work together and finding different ways of utilizing full potential of agile methods along with automation tools to achieve maximum benefits for the software industries.","PeriodicalId":445000,"journal":{"name":"2020 3rd International Conference on Information and Computer Technologies (ICICT)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114260087","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

Big Data Pipeline with ML-Based and Crowd Sourced Dynamically Created and Maintained Columnar Data Warehouse for Structured and Unstructured Big Data 基于ml和众包的大数据管道，动态创建和维护结构化和非结构化大数据的列式数据仓库

2020 3rd International Conference on Information and Computer Technologies (ICICT) Pub Date : 2020-03-01 DOI: 10.1109/ICICT50521.2020.00018

K. Ghane

引用次数: 2

Coronary Artery Disease Diagnosis Using Feature Selection Based Hybrid Extreme Learning Machine 基于特征选择的混合极限学习机诊断冠状动脉疾病

2020 3rd International Conference on Information and Computer Technologies (ICICT) Pub Date : 2020-03-01 DOI: 10.1109/ICICT50521.2020.00060

Afzal Hussain Shahid, M. Singh, Bishwajit Roy, Aashish Aadarsh

{"title":"Coronary Artery Disease Diagnosis Using Feature Selection Based Hybrid Extreme Learning Machine","authors":"Afzal Hussain Shahid, M. Singh, Bishwajit Roy, Aashish Aadarsh","doi":"10.1109/ICICT50521.2020.00060","DOIUrl":"https://doi.org/10.1109/ICICT50521.2020.00060","url":null,"abstract":"Coronary artery disease (CAD) is the most common cardiovascular disease (CVD) that cause millions of deaths worldwide due to heart failure, heart attack, and angina. The symptoms of the CAD do not appear in the early stage of the disease and it causes deadly conditions; therefore, accurate and early diagnosis of CAD is necessary to take appropriate and timely action for preventing or minimizing such conditions. Angiography, being the most accurate method for diagnosis of CAD, is often used by the clinicians to diagnose the CAD but this is an invasive procedure, costly, and may cause side effects. Therefore, researchers are trying to develop alternative diagnostic modalities for the efficient diagnosis of CAD. To that end, machine learning and data mining techniques have been widely employed. This paper proposes and develops hybrid Particle swarm optimization based Extreme learning machine (PSO-ELM) for diagnosis of CAD using the publicly available Z-Alizadeh sani dataset. To enhance the performance of the proposed model, a feature selection algorithm, namely Fisher, is used to find more discriminative feature subset. In the training period, the PSO algorithm is used to calibrate the ELM input weights and hidden biases. Further, the performance of the proposed model is compared with the basic ELM in terms of accuracy, Pearson correlation coefficient (R2) and Root mean square error (RMSE) goodness-of-fit functions. The results show that the performance of the proposed model is better than the basic ELM. The obtained CAD classification performance in terms of sensitivity, accuracy, specificity, and F1-measure is competitive to the known approaches in the literature.","PeriodicalId":445000,"journal":{"name":"2020 3rd International Conference on Information and Computer Technologies (ICICT)","volume":"143 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121421542","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: 6

Research on Mixed Planning Method of 5G and LTE 5G与LTE混合规划方法研究

2020 3rd International Conference on Information and Computer Technologies (ICICT) Pub Date : 2020-03-01 DOI: 10.1109/ICICT50521.2020.00084

Quan Yuan, Quanzhi Qian, Yong Mo, Hao Chen

{"title":"Research on Mixed Planning Method of 5G and LTE","authors":"Quan Yuan, Quanzhi Qian, Yong Mo, Hao Chen","doi":"10.1109/ICICT50521.2020.00084","DOIUrl":"https://doi.org/10.1109/ICICT50521.2020.00084","url":null,"abstract":"5G will enter the stage of large-scale commercial deployment. It can be said that \"quick deployment of 5G network\" is the choice that telecom operators must make now. Due to the need to seize the 5G competition and the smooth evolution of the architecture, most domestic and foreign operators currently adopt the NSA solution. However, how to implement 5G network deployment can achieve accurate delivery of network resources and avoid waste of network resources and investment costs in 5G network deployment. In view of this problem, at the same time, the current 5G is still in the early stage of development, and there is no experience of large-scale planning and deployment. This paper proposes a hybrid planning method of 5G and LTE under the NSA mode. Firstly, the analysis introduces 5G network performance, NSA networking mode, system network planning indicators, and summarizes 5G network planning indicators, business forecasting, frequency planning, capacity planning and so on. Then, through the uplink and downlink budget, the coverage of 5G and LTE is determined. Finally, the grid analysis method is used to deploy the 5G network, and the simulation results are analyzed. The simulation results show that the proposed method can maintain the existing network structure and reduce the cost of network construction, so that operators can quickly deploy 5G on existing LTE sites, which has important guiding significance for the construction and deployment of the previous 5G network.","PeriodicalId":445000,"journal":{"name":"2020 3rd International Conference on Information and Computer Technologies (ICICT)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131415438","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: 6

Semantic Segmentation and Contextual Information Based Image Scene Interpretation: A Review 基于语义分割和上下文信息的图像场景解释研究进展

2020 3rd International Conference on Information and Computer Technologies (ICICT) Pub Date : 2020-03-01 DOI: 10.1109/ICICT50521.2020.00031

Ajay Koul, Apeksha Koul

引用次数: 2

An IT Service Management Methodology for an Electoral Public Institution 一个选举公共机构的IT服务管理方法

2020 3rd International Conference on Information and Computer Technologies (ICICT) Pub Date : 2020-03-01 DOI: 10.1109/ICICT50521.2020.00041

Mario Barcelo-Valenzuela, Carlos Maximiliano Leal-Pompa, Gerardo Sanchez-Schmitz

{"title":"An IT Service Management Methodology for an Electoral Public Institution","authors":"Mario Barcelo-Valenzuela, Carlos Maximiliano Leal-Pompa, Gerardo Sanchez-Schmitz","doi":"10.1109/ICICT50521.2020.00041","DOIUrl":"https://doi.org/10.1109/ICICT50521.2020.00041","url":null,"abstract":"The document presents an adaptation of the Information Technology Infrastructure Library (ITIL) standards and best practices provided from its service life cycle in the IT department (ITD) of a Local Electoral Public Institution (LEPI) in Mexico. These type of autonomous and public organizations are in charge of organizing elections in each state. The ITD is in charge of IT problem solving and improvement projects related to elections and other needs of the organization. Most of the work is generated from user needs as they arise, but there's a lack of Standard Operating Procedures (SOPs) which prevents continuous monitoring, improvement and follow through. The main challenge to providing quality IT services in Electoral Institutions of this nature, is their adaptability to unexpected changes that occur in regulations. Service requests are caused by untimely changes arising from agreements and resolutions of Institutes and Court; this creates a work environment in which sudden decision-making is encouraged in terms of IT solutions management, which is why having an IT strategy that aligns with the strategic objectives of LEPI is crucial to guarantee a continuous improvement in the local democratic functioning. There is limited research on the application of standards and best practices in IT services for the public sector in Mexico, this methodology can be implemented in each of the 32 IT departments within the country.","PeriodicalId":445000,"journal":{"name":"2020 3rd International Conference on Information and Computer Technologies (ICICT)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123991953","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

Mobile Learning for Just-in-Time Knowledge Acquisition in a Workplace Environment 工作环境中即时知识获取的移动学习

2020 3rd International Conference on Information and Computer Technologies (ICICT) Pub Date : 2020-03-01 DOI: 10.1109/ICICT50521.2020.00038

T. Alade, Ruel Welch, Andrew Robinson, Lynn Nichol

引用次数: 0

Short-Term Prediction Model for Multi-currency Exchange Using Artificial Neural Network 基于人工神经网络的多币种汇兑短期预测模型

2020 3rd International Conference on Information and Computer Technologies (ICICT) Pub Date : 2020-03-01 DOI: 10.1109/ICICT50521.2020.00024

Isha Zameer Memon, Shahnawaz Talpur, Sanam Narejo, Aisha Zahid Junejo, Engr. Fawwad Hassan

{"title":"Short-Term Prediction Model for Multi-currency Exchange Using Artificial Neural Network","authors":"Isha Zameer Memon, Shahnawaz Talpur, Sanam Narejo, Aisha Zahid Junejo, Engr. Fawwad Hassan","doi":"10.1109/ICICT50521.2020.00024","DOIUrl":"https://doi.org/10.1109/ICICT50521.2020.00024","url":null,"abstract":"Forecasting the exchange rates is a serious issue that is getting expanding consideration particularly as a result of its trouble and pragmatic applications. Artificial neural networks (ANNs) have been generally utilized as a promising elective methodology for an anticipating task as a result of a few recognized highlights. Research endeavors on ANNs for gauging exchange rates are extensive. In this paper, we endeavor to give a review of research around there. A few structure factors fundamentally sway the exactness of neural network gauges. These elements incorporate the determination of information factors, getting ready information, and network design. There is no accord about the components. In various cases, different choices have their own adequacy. We additionally depict the combination of ANNs with different strategies and report the correlation between exhibitions of ANNs also, those of other anticipating techniques, and finding blended outcomes. At long last, what's to come inquire about headings around there are examined. This paper presents the forecast of top exchanged monetary utilizing diverse Machine learning models which incorporate top foreign exchange (Forex) monetary standards utilizing a hybrid comparison of Support Vector Regressor (SVR) and Artificial Neural Network (ANN), Short-Term Memory (STM), and Neural Network with Hidden Layers. They anticipate the exchange rate between world's top exchanged monetary forms, for example, USD/PKR, from information by day, 30-39 years till December 2018.","PeriodicalId":445000,"journal":{"name":"2020 3rd International Conference on Information and Computer Technologies (ICICT)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134216552","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