2020 3rd International Conference on Information and Computer Technologies (ICICT)最新文献_第4页

An Improved Agile Framework For Implementing Data Science Initiatives in the Government 在政府推行数据科学措施的改进敏捷框架

2020 3rd International Conference on Information and Computer Technologies (ICICT) Pub Date : 2020-03-01 DOI: 10.1109/ICICT50521.2020.00012

Wafa Qadadeh, Sherief Abdallah

{"title":"An Improved Agile Framework For Implementing Data Science Initiatives in the Government","authors":"Wafa Qadadeh, Sherief Abdallah","doi":"10.1109/ICICT50521.2020.00012","DOIUrl":"https://doi.org/10.1109/ICICT50521.2020.00012","url":null,"abstract":"Implementing data mining projects in governmental organizations is emerging in the Middle East. The literature has been showing that there is a significant gap between the problems defined by the research in data mining and the problems in real world projects. The gap is to the level of semantics between the data scientists and the business users. Trying to fill this gap, we have developed an improved Agile data mining framework to fulfill the government business objectives and needs. The previous works had been claiming that handling such project is not yet mature in the region. For this an Agile implementation framework is required. We are also proposing a systematic way for identifying business problems as part of the framework. The process is Agile, so it would start from investigating the data set dimensions to identify business problems. It also allows early Business people cooperation with data scientist. We've applied the proposed framework in one of the Middle East government organizations. The business team and the data scientists have been showing their satisfaction regarding the results of using the proposed framework. The proposed framework have helped both business and data scientist to implement their first initiative in data mining. The proposed framework also helped in efficiently mapping the project with the core business objectives and problems using real world dataset.","PeriodicalId":445000,"journal":{"name":"2020 3rd International Conference on Information and Computer Technologies (ICICT)","volume":"29 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":"134320486","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

Explainability of SMOTE Based Oversampling for Imbalanced Dataset Problems 基于SMOTE的非平衡数据集过采样的可解释性

2020 3rd International Conference on Information and Computer Technologies (ICICT) Pub Date : 2020-03-01 DOI: 10.1109/ICICT50521.2020.00015

Aum Patil, Aman Framewala, F. Kazi

{"title":"Explainability of SMOTE Based Oversampling for Imbalanced Dataset Problems","authors":"Aum Patil, Aman Framewala, F. Kazi","doi":"10.1109/ICICT50521.2020.00015","DOIUrl":"https://doi.org/10.1109/ICICT50521.2020.00015","url":null,"abstract":"Since the advent of Artificial Intelligence (AI), the problem of imbalanced datasets and the lack of interpretability of complex AI models has been a matter of concern for the research community. These datasets contain a very low proportion of one class (minority class) and very large proportion of another class (majority class). Even though the quantitative representation is less for minority class they have high qualitative importance as the cost associated in case of misclassification in these domains is very high. The paper presents a novel solution to deal with the issue of imbalanced dataset by using the proven method of resampling Synthetic Minority Oversampling Technique (SMOTE). Further, the interpretability of such an approach is demonstrated by some powerful eXplainable AI (XAI) techniques such as LRP, SHAP and LIME. In this paper state-of-art models like Deep Learning and Boosting classifiers were trained to classify fraud instances with high accuracy and proved to be reliable by producing explanations for their predicted instances. The results of confusion matrices and explanations showcase excellent performance and reliability of the models.","PeriodicalId":445000,"journal":{"name":"2020 3rd International Conference on Information and Computer Technologies (ICICT)","volume":"2 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":"130360550","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

Design and Controlling of Low-Cost Prosthetic Hand Using Force Sensor 基于力传感器的低成本假手设计与控制

2020 3rd International Conference on Information and Computer Technologies (ICICT) Pub Date : 2020-03-01 DOI: 10.1109/ICICT50521.2020.00061

S. F. Ahmed, M. H. Tanveer, Isho James Kiwarkis, Herish Badal Basy

引用次数: 0

Optimization Design of LQR Controller Based on Improved Whale Optimization Algorithm 基于改进鲸鱼优化算法的LQR控制器优化设计

2020 3rd International Conference on Information and Computer Technologies (ICICT) Pub Date : 2020-03-01 DOI: 10.1109/ICICT50521.2020.00067

Qianhao Zhai, Xiaoyu Xia, Siling Feng, Mengxing Huang

引用次数: 4

Multiple Anchor Staged Alignment Algorithm – Sensitive (MASAA – S) 多锚分段对齐算法-敏感(MASAA - S)

2020 3rd International Conference on Information and Computer Technologies (ICICT) Pub Date : 2020-03-01 DOI: 10.1109/ICICT50521.2020.00064

Bharath Reddy, Richard Fields

{"title":"Multiple Anchor Staged Alignment Algorithm – Sensitive (MASAA – S)","authors":"Bharath Reddy, Richard Fields","doi":"10.1109/ICICT50521.2020.00064","DOIUrl":"https://doi.org/10.1109/ICICT50521.2020.00064","url":null,"abstract":"Sequence alignment is common nowadays as it is used in computational biology or Bioinformatics to determine how closely two sequences are similar. There are many computational algorithms developed over the course of time to not only align two sequences. The first algorithms developed were based on a technique called Dynamic Programming which rendered them slow but produce optimal alignment. Today, however heuristic approach algorithms are popular as they are faster and yet produce near optimal alignment. In this paper, we are going to improve on a heuristic algorithm called MASAA (Multiple Anchor Staged Local Sequence Alignment Algorithm) - which we published previously. This new algorithm appropriately called MASAA - S stands for MASAA Sensitive. The algorithm is based on suffix tree data structure to identify anchors first, but to improve sensitivity, we employ adaptive seeds, and shorter perfect match seeds in between the already identified anchors. When the Anchors are separated by a greater distance than a threshold 'd', we exclude such anchors. We tested this algorithm on a randomly generated sequences, and Rosetta dataset where the sequence length ranged up to 500 thousand.","PeriodicalId":445000,"journal":{"name":"2020 3rd International Conference on Information and Computer Technologies (ICICT)","volume":"19 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":"129792929","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

Research and Design of a High Isolation 5G Antenna for Smart Phone 智能手机高隔离5G天线的研究与设计

2020 3rd International Conference on Information and Computer Technologies (ICICT) Pub Date : 2020-03-01 DOI: 10.1109/ICICT50521.2020.00086

Kuo Yang

引用次数: 5

Hacking User in Human-Computer Interaction Design (HCI) 人机交互设计(HCI)中的黑客用户

2020 3rd International Conference on Information and Computer Technologies (ICICT) Pub Date : 2020-03-01 DOI: 10.1109/ICICT50521.2020.00042

Duc Son Nguyen, Quynh Mai Le

引用次数: 4

Combating Jamming Attacks in Multi-channel IoT Networks Using Game Theory 利用博弈论对抗多通道物联网网络中的干扰攻击

2020 3rd International Conference on Information and Computer Technologies (ICICT) Pub Date : 2020-03-01 DOI: 10.1109/ICICT50521.2020.00081

M. Guizani, A. Gouissem, K. Abualsaud, E. Yaacoub, T. Khattab

引用次数: 6

On Cybersecurity Education for Non-technical Learners 论非技术学习者的网络安全教育

2020 3rd International Conference on Information and Computer Technologies (ICICT) Pub Date : 2020-03-01 DOI: 10.1109/ICICT50521.2020.00072

Matthew McNulty, H. Kettani

{"title":"On Cybersecurity Education for Non-technical Learners","authors":"Matthew McNulty, H. Kettani","doi":"10.1109/ICICT50521.2020.00072","DOIUrl":"https://doi.org/10.1109/ICICT50521.2020.00072","url":null,"abstract":"In this paper the topic of cybersecurity education for individuals who are not in a technical learning environment will be explored. There are currently several organizations that can certify an education program that is focused on cybersecurity or similar areas. However, for individuals who are not within the cybersecurity field, such as those who are not yet finished with their high school education, those who are within another discipline at the University or College level, or those who are outside of the education system entirely, then there is no such entities or guidelines for programs to inform them about cybersecurity and privacy related issues and topics. This does not mean though, that these individuals have any less of a need for some training in the basics of cybersecurity and privacy protection that will affect everyone's daily life. Since these individuals are not exposed to the curriculums that might enable them to recognize or gain an understanding of the reasons behind practices that are common place for everyone, such as password requirements, then there could be an even greater need for them to be exposed to it in a controlled and consistent manner. The need to understand the security and privacy concerns associated with using various services and devices will continue to increase as more devices become internet and network connected, more jobs increasingly rely on technology, and more of these connected devices are brought into homes.","PeriodicalId":445000,"journal":{"name":"2020 3rd International Conference on Information and Computer Technologies (ICICT)","volume":"6 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":"121715121","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

Optimizing Online Shopping using Genetic Algorithm 利用遗传算法优化网上购物

2020 3rd International Conference on Information and Computer Technologies (ICICT) Pub Date : 2020-03-01 DOI: 10.1109/ICICT50521.2020.00048

Sahil Verma, Akash Sinha, Prabhat Kumar, Ajay Maitin

引用次数: 1