2020 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA)最新文献_第3页

Using Machine Learning to Forecast Time Series in Spacecrafts 利用机器学习预测航天器时间序列

2020 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA) Pub Date : 2020-11-25 DOI: 10.1109/CITISIA50690.2020.9371812

Bed Prasad Dhakal, Angelika Maag, Nirosha Gunasekera

{"title":"Using Machine Learning to Forecast Time Series in Spacecrafts","authors":"Bed Prasad Dhakal, Angelika Maag, Nirosha Gunasekera","doi":"10.1109/CITISIA50690.2020.9371812","DOIUrl":"https://doi.org/10.1109/CITISIA50690.2020.9371812","url":null,"abstract":"Spacecrafts are intelligent and highly sensitive systems that are constantly exposed to environmental impact. Complex systems like those found in spacecrafts are designed to reduce faults and fatalities utilizing machine learning - more specifically known as Telemetry Mining. This analysis predicts satellite behavior which allows spacecrafts to correct their course or take other measures to mitigate potential negative impact. This paper aims to implement the statistical Autoregressive Integrated Moving Average (ARIMA) algorithm, used to forecast time series to predict spacecraft failure with the aim of saving investment and lives. To identify potential failure, results from predictions are evaluated through mean, standard deviation, covariance and Pearson's correlation square using the ARIMA algorithm. The data received from the Egyptsat-1 satellite's battery temperature is used as the parameter for input into Matlab This paper summarizes the performance and health of the spacecraft with the result of the implementation of the ARIMA algorithm on the basis of input parameters. Finally, the output from this algorithm is compared. This paper proposes a new framework for Machine Learning to Forecast Time Series in Spacecrafts. Prediction accuracy helps to decrease the failure rate of and improves the performance of the spacecraft.","PeriodicalId":145272,"journal":{"name":"2020 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114660886","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

Reverse Engineering UML Sequence Diagrams for Program Comprehension Activities 用于程序理解活动的逆向工程UML序列图

2020 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA) Pub Date : 2020-11-25 DOI: 10.1109/CITISIA50690.2020.9371851

Hayden Cheers, Yuqing Lin

{"title":"Reverse Engineering UML Sequence Diagrams for Program Comprehension Activities","authors":"Hayden Cheers, Yuqing Lin","doi":"10.1109/CITISIA50690.2020.9371851","DOIUrl":"https://doi.org/10.1109/CITISIA50690.2020.9371851","url":null,"abstract":"Program comprehension is a required activity for many software development and maintenance tasks. A common means of understanding software is though UML diagrams. UML diagrams model the design and implementation of an application, describing both its structure and behaviour. However with rapid software development life cycles, UML diagrams often become inconsistent with the implementation of an application. This limits their effectiveness in program comprehension activities. This paper presents a program analysis framework to reverse engineer sequence diagrams from application source code. Part of this framework is the ability to filter out irrelevant operations from a sequence diagram in order to simplify the representation of an application. This is achieved by identifying important data, and following its use in the application. The purpose of this framework is to aid in program comprehension activities by providing up to date representations of an application; while also enabling developers to identify the logical operation of a program without interference from irrelevant or supporting operations.","PeriodicalId":145272,"journal":{"name":"2020 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA)","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122054017","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

RNN-CNN MODEL:A Bi-directional Long Short-Term Memory Deep Learning Network For Story Point Estimation RNN-CNN模型:用于故事点估计的双向长短期记忆深度学习网络

2020 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA) Pub Date : 2020-11-25 DOI: 10.1109/CITISIA50690.2020.9371770

Bhaskar Marapelli, Anil Carie, S. Islam

{"title":"RNN-CNN MODEL:A Bi-directional Long Short-Term Memory Deep Learning Network For Story Point Estimation","authors":"Bhaskar Marapelli, Anil Carie, S. Islam","doi":"10.1109/CITISIA50690.2020.9371770","DOIUrl":"https://doi.org/10.1109/CITISIA50690.2020.9371770","url":null,"abstract":"In recent years, an increased interest in the adaption of agile software development by companies. Using iterative methodology enables them to do issue-based estimation and respond quickly to changes in the requirements. Agile methodology adopts Story Point Approach to estimate the effort that involves a user story or a resolving issue. Unlike traditional estimation, Agile Methodology focuses on individual programming task estimation instead of whole project estimation. In this work, we approach story point estimation using the RNN-CNN model. We consider the contextual information in a user story in both forward and backward directions to build the RNN-CNN model. The proposed model adopts a Bi-directional Long Short-Term Memory (BiLSTM), a tree-structured Recurrent Neural Network (RNN) with Convolutional Neural Network (CNN), tries to predict a story point for a user story description. Here, BiLSTM forward and backward feature learning will make network preserve the sequence data and CNN makes feature extraction accurate. The experimental results show the improvement in estimating the story points with a user story as an input using the proposed RNN-CNN. Furthermore, the analysis shows that the proposed RNN-CNN model outperforms the existing model and gives 74.2 % R2 Score on the Bamboo data set.","PeriodicalId":145272,"journal":{"name":"2020 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130190999","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: 7

CITISIA 2020 International Advisory Committee CITISIA 2020国际咨询委员会

2020 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA) Pub Date : 2020-11-25 DOI: 10.1109/citisia50690.2020.9371833

引用次数: 0

Augmented Reality Navigation in Spine Surgery 增强现实导航在脊柱外科

2020 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA) Pub Date : 2020-11-25 DOI: 10.1109/CITISIA50690.2020.9371792

R. Huang, Angelika Maag, Moshiur Bhuiyan

{"title":"Augmented Reality Navigation in Spine Surgery","authors":"R. Huang, Angelika Maag, Moshiur Bhuiyan","doi":"10.1109/CITISIA50690.2020.9371792","DOIUrl":"https://doi.org/10.1109/CITISIA50690.2020.9371792","url":null,"abstract":"Spine has several complicated joints and nerves that need to look after well during the surgery procedure. Spine surgery in some ways easily creates scoliosis, degenerative disc disease, spinal stability problem. All these procedures need highly skilled operators with a specific program. The previous traditional program has, unfortunately, plenty of variations in image registration over precision rate and technical issues. As the technical problem, human mistakes, and shortage of standard equipment happen widely, the aim of this research is to increase the surgeon’s efficiency in navigation location assurance and to decrease the exposure of radiation for patients and operators. This study is a review-based approach. A variety of methods are applied to evaluate the different works conducted across the similar circumstances. 30 state of the art publications are categorised to elaborate and further elaborate the utility of the Augmented Reality (AR) navigation system in spine surgery. The criterions recognised for verifying AR navigation in spine surgery are system recognition, system comparison and its robustness. This paper will provide an analysis of the navigation systems methodology to spine surgery by Augmented Reality in present studies and propose an improved navigation framework that emphasises the characteristics and effectiveness of AR in regard of accuracy, radiation exposure and reliability in surgery compared to the present surgical procedure.","PeriodicalId":145272,"journal":{"name":"2020 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122512731","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

Motion Classification Using CNN Based on Image Difference 基于图像差分的CNN运动分类

2020 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA) Pub Date : 2020-11-25 DOI: 10.1109/CITISIA50690.2020.9371835

Wafaa Ahmed, A. Karim

引用次数: 5

Web-based Enhancement of Employees Continuous Professional Development 网络促进员工持续专业发展

2020 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA) Pub Date : 2020-11-25 DOI: 10.1109/CITISIA50690.2020.9371855

Chamadi Anusari Withana, Jonathan Lavaro, P. Prasad, A. Elchouemi

{"title":"Web-based Enhancement of Employees Continuous Professional Development","authors":"Chamadi Anusari Withana, Jonathan Lavaro, P. Prasad, A. Elchouemi","doi":"10.1109/CITISIA50690.2020.9371855","DOIUrl":"https://doi.org/10.1109/CITISIA50690.2020.9371855","url":null,"abstract":"The abstract of this paper is to identify the factors that will help improve employee performance through continuous professional development in organizations. The study includes research articles that express the current continuous professional development factors in organizations and to identify the problems faced by employees with regards to their continuous professional development. Structured System Analysis and Design Method (SSADM) was used for analysing the data and processes in the research. In particular, SSADM was used to gather requirements for the research, analyse the data, design the proposed solution, implement the solution and test the proposed solution. The key findings of the research help to understand the importance of continuous professional development factors and how those factors affected the development of employees in the organizations. This study will be useful for employers to understand about the continuous professional development factors as well as for the organizations to implement a new solution with proposed factors to enhance employees’ performances. This study yields important suggestions for the employers to develop continuous professional development programs in the organization. The paper tries to focus on employee’s continuous professional development and its linkage between organisational progress. The study contributes to the employee’s performances development within the organisations as well as organisational improvement.","PeriodicalId":145272,"journal":{"name":"2020 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127951568","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

Text Analysis for Honeypot Misuse Inference 蜜罐误用推理的文本分析

2020 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA) Pub Date : 2020-11-25 DOI: 10.1109/CITISIA50690.2020.9371771

Toivo Herman Kamati, D. Jat, Saurabh Chamotra

引用次数: 1

Convolutional Neural Network with Segmentation in Brain Tumour Diagnosis: An extensive review 卷积神经网络分割在脑肿瘤诊断中的应用综述

2020 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA) Pub Date : 2020-11-25 DOI: 10.1109/CITISIA50690.2020.9371858

Milan Shahi, O. H. Alsadoon, Nada AlSallami

引用次数: 0

Human-System Interaction Interface Utilizing 3D Gesture Recognition Techniques based on Wearable Technology 基于可穿戴技术的三维手势识别人机交互界面

2020 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA) Pub Date : 2020-11-25 DOI: 10.1109/CITISIA50690.2020.9371806

Hetika Ishan Patel, S. M. N. Arosha Senanayake, Joko Triloka

{"title":"Human-System Interaction Interface Utilizing 3D Gesture Recognition Techniques based on Wearable Technology","authors":"Hetika Ishan Patel, S. M. N. Arosha Senanayake, Joko Triloka","doi":"10.1109/CITISIA50690.2020.9371806","DOIUrl":"https://doi.org/10.1109/CITISIA50690.2020.9371806","url":null,"abstract":"Working with robots has the risk of safety and security of human interaction that limits the robots fine motion within a factory floor. Thus, it requires the improving human system interaction interface in a robotic assembly line. Gesture recognition can be used as an assistive tool to reduce the interaction complexities associated during human intervention with robots and machines. The aim of this research is to recognize 3D gesture using wearable devices in order to improve human-robot/machine collaboration through better interaction interface. The derived systems consist of Data Classification, Recognition, and interaction. The novel system proposed improves human-machine interaction interface and reduces the system complexity through improving the interaction system leading to better working environment. The recognition of gestures helps to improve the interaction between humans and robots and helps in performing different robotic tasks. The method proposed in this research proves better performance compared to the currently existing gesture recognition methods. The data for gesture recognition is taken using different wearable devices, pressure and motion sensors. Reducing the interaction complexity will help to provide better working environment and gives assurance to worker about their security and safety with better working environment","PeriodicalId":145272,"journal":{"name":"2020 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124432417","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