Proceedings of the 7th International Conference on Computer and Communications Management最新文献

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A Systematic Literature Review on Factors Impacting Agile Adaptation in Global Software Development 全球软件开发中影响敏捷适应因素的系统文献综述
Areebah Altaf, U. Fatima, Wasi Haider Butt, Muhammad Waseem Anwar, Maryum Hamdani
{"title":"A Systematic Literature Review on Factors Impacting Agile Adaptation in Global Software Development","authors":"Areebah Altaf, U. Fatima, Wasi Haider Butt, Muhammad Waseem Anwar, Maryum Hamdani","doi":"10.1145/3348445.3348463","DOIUrl":"https://doi.org/10.1145/3348445.3348463","url":null,"abstract":"Agile practices are considered as a major attraction for global software development (GSD) projects owing to its flexible nature. Beside the major benefits it offers to GSD, there are few challenges that hinders its implementation across the global software industry. This study contributes in constructing a systematic literature review for exploring the major factors impacting the agile adaptation at global level. We have identified and analyzed 28 research studies (2015-2019). These selected studies have revealed Scrum and Extreme Programming (XP) as the most popular agile practices that are adapted irrespective of the software type and organizational structure. Furthermore 5 tool categories are also presented i.e. modeling, requirement elicitation, data tracking tools etc. that are commonly used while practicing agile. The major findings of this study conclude that these agile methodologies are heavily adapted due to their iterative model and quick code delivery but basic challenges like poor customer involvement and lack of documentation are badly affecting its growth at global level.","PeriodicalId":314854,"journal":{"name":"Proceedings of the 7th International Conference on Computer and Communications Management","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115615719","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
A Meta-Model to Automatically Generate Evolutionary Prototypes from Software Requirements 从软件需求中自动生成演化原型的元模型
Rubia Anjum, F. Azam, Muhammad Waseem Anwar, Anam Amjad
{"title":"A Meta-Model to Automatically Generate Evolutionary Prototypes from Software Requirements","authors":"Rubia Anjum, F. Azam, Muhammad Waseem Anwar, Anam Amjad","doi":"10.1145/3348445.3351304","DOIUrl":"https://doi.org/10.1145/3348445.3351304","url":null,"abstract":"Requirement validation is the most vital phase of Requirement Engineering (RE) process which provides clear, complete and consistent requirements to software development team. Although several requirement validation approaches have been proposed such as review checklists, prototyping and model-based validation. Among all these existing techniques, prototyping being model-based approach is most widely utilized. It is analyzed that functional implementation and iterations often makes traditional manual prototyping to be inefficient, time consuming and expensive. In order to bridge this gap, a meta-model for automatic generation of prototypes is proposed in this paper. This prototype will be developed directly from the elicited requirements for the purpose of efficient validation of requirements. This approach provides thorough knowledge, reactions foresight and design analysis of a system, steering towards the validation of the necessary, verifiable, traceable and reusable requirements. In addition, after performing requirement validation using proposed approach, rework on design and implementation is avoided.","PeriodicalId":314854,"journal":{"name":"Proceedings of the 7th International Conference on Computer and Communications Management","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122045377","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
Sentiment Analysis on Twitter Data: A Survey Twitter数据的情感分析:一项调查
Abhilash Mittal, Sanjay Patidar
{"title":"Sentiment Analysis on Twitter Data: A Survey","authors":"Abhilash Mittal, Sanjay Patidar","doi":"10.1145/3348445.3348466","DOIUrl":"https://doi.org/10.1145/3348445.3348466","url":null,"abstract":"Twitter is the popular micro blogging site where thousands of people exchange their thoughts daily in the form of tweets. The characteristics of tweet is to be short and simple way of expressions. Though this paper will focus on sentiment analysis of twitter data. The research area of sentiment analysis are text data mining and NLP. In different form we can perform the sentiment analysis on twitter data. This research paper will focus on techniques of sentiment analysis where we will perform how to extract tweets from twitter. Eventually we will compare different sentiment analysis techniques and also the approaches containing twitter dataset.","PeriodicalId":314854,"journal":{"name":"Proceedings of the 7th International Conference on Computer and Communications Management","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128526984","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: 35
WebGIS for Managing Household Data within a Provincial Big Data Project 基于WebGIS的省级大数据项目家庭数据管理
Wichai Puarungroj, Suchada Phromkhot, Narong Boonsirisumpun, Pathapong Pongpatrakant, Satith Sangpradid
{"title":"WebGIS for Managing Household Data within a Provincial Big Data Project","authors":"Wichai Puarungroj, Suchada Phromkhot, Narong Boonsirisumpun, Pathapong Pongpatrakant, Satith Sangpradid","doi":"10.1145/3348445.3348479","DOIUrl":"https://doi.org/10.1145/3348445.3348479","url":null,"abstract":"The government agencies require decision support information before commencing their community development projects in rural areas. However, such information is not always available or does not meet their requirements. This research presents the design and development of the WebGIS, which is intended to store and provide spatially related household information for government agencies. This research has been conducted as a part of a provincial big data project. In this research, the spatial database system and the data visualization of the database were designed and developed by focusing on the details of each house in the targeted villages. The data were collected by the researchers from the study areas, which comprised 5 villages in Loei and Khonkaen Provinces in Thailand. The important household and location data were collected and combined with the community data from the Community Development Office. The GIS was developed using QGIS where the geolocation of each house in the villages was applied on the map derived from Google map. The data were analyzed and visualized in different formats such as color, table, and graph in order to establish the data classification and summarization. The system and data were finally evaluated by the Community Development Office and community leaders in terms of system performance and data accuracy.","PeriodicalId":314854,"journal":{"name":"Proceedings of the 7th International Conference on Computer and Communications Management","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130491990","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
Thai Sign Language Recognition Using 3D Convolutional Neural Networks 使用三维卷积神经网络识别泰文手语
Nutisa Sripairojthikoon, J. Harnsomburana
{"title":"Thai Sign Language Recognition Using 3D Convolutional Neural Networks","authors":"Nutisa Sripairojthikoon, J. Harnsomburana","doi":"10.1145/3348445.3348452","DOIUrl":"https://doi.org/10.1145/3348445.3348452","url":null,"abstract":"Translating sign language is a complicating and challenging task due to complexity of sign language structures including hand shapes, hand orientation, hand movements, and facial expression. Existing approaches generally used complex handcrafted features to recognize a sign language. However, to build a model based on those features is a difficult task. To deal with this problem, we proposed a model of Thai sign language recognition using 3D Convolutional Neural Network (3DCNN) which can automatically learn both temporal and spatial features from data. Our data is a collection of 64 isolated Thai signs language vocabulary as video stream using Microsoft Kinect to acquire information of color, depth, skeleton, hand shapes, and whole body movement. To evaluate our proposed approach, different kind of stream and information are tested with the best empirical model. The selected model is 3DCNN with kernel 3×3×3. The experimental results demonstrated that the accuracy of different input and information is as high as the highest 97.7% which belong to skeleton dataset.","PeriodicalId":314854,"journal":{"name":"Proceedings of the 7th International Conference on Computer and Communications Management","volume":"176 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124309560","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: 4
Prediction of 3D rotation and translation from 2D images 预测三维旋转和平移从二维图像
Bhattarabhorn Wattanacheep, O. Chitsobhuk
{"title":"Prediction of 3D rotation and translation from 2D images","authors":"Bhattarabhorn Wattanacheep, O. Chitsobhuk","doi":"10.1145/3348445.3348485","DOIUrl":"https://doi.org/10.1145/3348445.3348485","url":null,"abstract":"The prediction of three-dimensional (3D) rotation and translation can be retrieved from two-dimensional (2D) images to build 3D models from large collections of images. In this paper, the process starts by extracting the features of images via transfer learning approach from Deep Neural Network model called VGG19. Even though the features extracted from VGG19 are usually adopted in image recognition application; in this research, we apply these features to the prediction model to obtain rotation and translation parameters. Due to the large size of the feature dimensions, it is necessary to perform dimensional reduction technique called latent semantic analysis (LSA) to decrease the feature dimensions and remain only the important ones. Then, the regression estimation technique based on the idea of Support Vector Machine (SVM) is used to predict the rotation and translation parameters. The accuracy is estimated by comparing the prediction results with the corresponding ground truth set. The average errors of rotation and translation of 3D prediction from 2D images are approximately 0.2419 degrees and 1.35 meters respectively.","PeriodicalId":314854,"journal":{"name":"Proceedings of the 7th International Conference on Computer and Communications Management","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128058244","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
Decision Support System for Dairy Cattle Management Using Computational Intelligence Technique 基于计算智能技术的奶牛管理决策支持系统
Anamika Pimpa, Narissara Eiamkanitchat, C. Phatsara, T. Moonmanee
{"title":"Decision Support System for Dairy Cattle Management Using Computational Intelligence Technique","authors":"Anamika Pimpa, Narissara Eiamkanitchat, C. Phatsara, T. Moonmanee","doi":"10.1145/3348445.3348449","DOIUrl":"https://doi.org/10.1145/3348445.3348449","url":null,"abstract":"The good yield of dairy cattle relies upon the quality of the environment and genetic characteristics. This research created a 2-level data classification model for cattle. The data set contains environment of the animal house, factors related to cattle health, nutrition of food and body integrity scores based on the physiological characteristics of ruminants of Thailand. This article utilized artificial intelligence technology by presenting the application of artificial neural networks to classifying the health of cattle so that farmers can take care for daily cattle properly, since healthy cattle can produce good milk. The results of the predictive health of the model are 3 classes: normal, surveillance and risk. The results showed that the models presented in this research were higher than normal neural network structures. The classification results are verified by experts, indicating that the system can accurately analyze data as much as expert 100%. The developed model applies to web applications to facilitate the utilization of farmers and can be additionally created with future livestock use.","PeriodicalId":314854,"journal":{"name":"Proceedings of the 7th International Conference on Computer and Communications Management","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132235707","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
Towards a rooted subgraph classifier for IoT botnet detection 面向物联网僵尸网络检测的根子图分类器
Huy-Trung Nguyen, Doan-Hieu Nguyen, Quoc-Dung Ngo, Vu-Hai Tran, Van-Hoang Le
{"title":"Towards a rooted subgraph classifier for IoT botnet detection","authors":"Huy-Trung Nguyen, Doan-Hieu Nguyen, Quoc-Dung Ngo, Vu-Hai Tran, Van-Hoang Le","doi":"10.1145/3348445.3348474","DOIUrl":"https://doi.org/10.1145/3348445.3348474","url":null,"abstract":"The Internet of Things (IoT) devices provide various benefits for our modern life. However, in recent years, commercial-off-the-shelf devices such as IP-Camera, Router, Smart-TV, etc. are being targeted more and more by IoT Botnet. Therefore, the detection of IoT botnet malware is essential. Recently, some of the studies have used machine learning and deep learning for the automatic detection of malware. However, machine learning and deep learning also have their own advantages and disadvantages. Therefore, in this paper, we have proposed a method that combine deep learning and machine learning to generate a novel feature-based PSI-Rooted sub-graph for detecting cross-architecture IoT botnet malware. This feature is robust enough for various common machine learning classifiers that achieved an accuracy of about 97% and F-score about 98%.","PeriodicalId":314854,"journal":{"name":"Proceedings of the 7th International Conference on Computer and Communications Management","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132573414","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
The Star Selecting and Distributing Algorithm of Beidou/Ground Pseudo-Satellite Integrated System 北斗/地面伪卫星组合系统的选星与配星算法
Huang Ying
{"title":"The Star Selecting and Distributing Algorithm of Beidou/Ground Pseudo-Satellite Integrated System","authors":"Huang Ying","doi":"10.1145/3348445.3348473","DOIUrl":"https://doi.org/10.1145/3348445.3348473","url":null,"abstract":"The number of the traceable satellites and their GDOP(geometric distribution of precision) has significant influence on precision, reliability and availability of Beidou navigation system. Therefore, it is concluded that the construction of the ground pseudo-satellite systems can be solved the bottleneck of the vulnerable navigation signal interfered in the complex electromagnetic environment. However, there are two problems of Beidou/pseudo-satellite system to be solved, one is the increased amount of calculation and satellite positioning fault due to the increased amount of satellites, the other is how to effectively deploy ground pseudo-satellite position. So, the paper provide an effect algorithm. It is directly selected the most similar satellite station location from the optimal GDOP in order to reduce the amount of location solution computation owe to the increased number of Pseudo-satellite, the positioning accuracy can be ensured by optimal GDOP shape, and then the balance between positioning accuracy and rapid positioning is found, and the positioning accuracy can be ensured based on the rapidity. Secondly, to avoid the GDOP time-consuming traversal, the maneuvering satellite station distribution algorithm is deduced through the matrix decomposition and the matrix eigenvalue, and the simulation result is shown that the algorithm without calculating inverse matrix is simple and stable, which can be effectively guided the pseudo-satellites distributing in the specially appointed area. Thus the effectiveness of Beidou satellite navigation system can be effectively enhanced. For all, this result would be great practical significance for promoting the application of the development of the Beidou satellite navigation system.","PeriodicalId":314854,"journal":{"name":"Proceedings of the 7th International Conference on Computer and Communications Management","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115374901","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 Study of Life Cycle Cost Model using Analysis Hierarchy Process for Car Buyer in Thailand 基于层次分析法的泰国汽车购买者生命周期成本模型研究
Nantika Prinyapol
{"title":"The Study of Life Cycle Cost Model using Analysis Hierarchy Process for Car Buyer in Thailand","authors":"Nantika Prinyapol","doi":"10.1145/3348445.3348482","DOIUrl":"https://doi.org/10.1145/3348445.3348482","url":null,"abstract":"The massive demands in buying the new cars of new generation in Thailand shown that young consumers who start working less than five years have more purchasing power than ever, along with, the support of tax benefits since 2011. However, the abilities to pay installment are less. The household debt have increased significantly high. The new car consumers had not realized for the remaining expenses excluded the capital cost. Therefore, the decision to buy the new car is not suitable for the economic conditions and the real usages. In this paper, researcher characterizes the impact factors of the decision and proposes the possible alternatives for consumers with realistic scenarios. Through a combination of buyer behavior analysis, analytic hierarchy process (AHP) and life cycle cost analysis (LCC), researcher demonstrates the decision support system for car buyers. The participants are sixty new employees who works at most five years in IT department of a food corporate industrial in Thailand. The research found that there are five factors of consumer behaviors. The matrix factors of alternatives (brands) are: Toyota 23.82% from Behavior and 20.19% from Product, Proton 13.51% from Price, Honda 19.21% from Distribution channel and 33.18% from Market promotion. From the research results, each alternative brand has influence different aims on the usage when calculated with the LCC, then the consumers are able to choose the right cars more efficiency.","PeriodicalId":314854,"journal":{"name":"Proceedings of the 7th International Conference on Computer and Communications Management","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128477578","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
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