Proceedings of the 2019 3rd International Conference on Software and e-Business最新文献_第4页

Proceedings of the 2019 3rd International Conference on Software and e-Business Pub Date : 2019-12-09 DOI: 10.1145/3374549.3374577

J. D. Goma, Oscar Jensen D. Binsol, Alexander Michael T. Nadado, Jose Peter A. Casela

{"title":"Age-related Macular Degeneration Detection through Fundus Image Analysis Using Image Processing Techniques","authors":"J. D. Goma, Oscar Jensen D. Binsol, Alexander Michael T. Nadado, Jose Peter A. Casela","doi":"10.1145/3374549.3374577","DOIUrl":"https://doi.org/10.1145/3374549.3374577","url":null,"abstract":"Age-Related Macular Degeneration (AMD) is a leading retinal disease that causes vision loss affect people from age fifty five(55) and older. The disease is characterized by the formation of drusen or the yellow deposits containing lipids forming within the macula region of the eye. One of the various ways to diagnose AMD is through obtaining fundus photography using a specialized retinal camera. This study assesses the accuracy of the proposed methodology in recognizing AMD-positive fundus images using Digital Image Processing and various Machine Learning models such as Naïve Bayes (NB), Neural Network (NN), Support Vector Machine (SVM) and Random Forest (RF). The fundus images undergo intensity adjustment and bilateral filter it is then followed by optic disc extraction and Superpixel segmentation using Simple Linear Iterative Clustering. Features, such as Intensity-based statistics and Texton-map Histogram, are extracted and normalized. The resulting values are classified by various Machine Learning algorithms as positive or negative for AMD. The proposed methodology is able to determine Healthy and AMD-positive images while also providing accuracy comparison among Machine Learning models.","PeriodicalId":187087,"journal":{"name":"Proceedings of the 2019 3rd International Conference on Software and e-Business","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121560842","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

Transforming Flowchart into Coloured Petri Nets 将流程图转换为彩色Petri网

Proceedings of the 2019 3rd International Conference on Software and e-Business Pub Date : 2019-12-09 DOI: 10.1145/3374549.3374568

Utumporn Gulati, W. Vatanawood

引用次数: 3

Victoria's Secret Performance Report 2019 2019维密秀业绩报告

Proceedings of the 2019 3rd International Conference on Software and e-Business Pub Date : 2019-12-09 DOI: 10.1145/3374549.3374585

Yi Feng

引用次数: 1

The Relationship between Road Infrastructure Development and Long-run Economic Growth in Ethiopia: The ARDL Approach 埃塞俄比亚道路基础设施发展与长期经济增长的关系:ARDL方法

Proceedings of the 2019 3rd International Conference on Software and e-Business Pub Date : 2019-12-09 DOI: 10.1145/3374549.3374555

Bayissa Badada, Baiqing Sun

{"title":"The Relationship between Road Infrastructure Development and Long-run Economic Growth in Ethiopia: The ARDL Approach","authors":"Bayissa Badada, Baiqing Sun","doi":"10.1145/3374549.3374555","DOIUrl":"https://doi.org/10.1145/3374549.3374555","url":null,"abstract":"Considering Ethiopia as one of the landlocked countries and has given a high priority to the road transport infrastructure sector in east Africa, this study examines the effect of road transport infrastructure development on economic growth throughout 1981-2017. To assess the economic effect of road infrastructure, we first perform unit root tests using the augmented dickey-fuller (ADF) unit root test approach. Then, we assess the co-integration between road transport infrastructure and economic growth using the autoregressive distributed lag bound test model by conducting an F test. Once co-integration is established, the Ordinary Least Square estimation technique was used to estimate the elasticity of economic growth using autoregressive distributed lag-error correction model approaches; the obtained result shows that road infrastructure has a considerable positive effect on long-term economic growth in Ethiopia. The study concludes that road infrastructure is essential for growth in the economy and the study highlights substantial issues that policymakers should give due attention to the effective formulation and implementation of road infrastructure development policies in Ethiopia.","PeriodicalId":187087,"journal":{"name":"Proceedings of the 2019 3rd International Conference on Software and e-Business","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114687535","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

Towards the Development of WellFix: A Mobile-based Multi-Job Platform 迈向WellFix:基于移动的多作业平台

Proceedings of the 2019 3rd International Conference on Software and e-Business Pub Date : 2019-12-09 DOI: 10.1145/3374549.3374562

R. Bringula, Josiah Eleazar T. Regencia, R. Reyes

引用次数: 0

Identification of Software Problem Report Types Using Multiclass Classification 使用多类分类识别软件问题报告类型

Proceedings of the 2019 3rd International Conference on Software and e-Business Pub Date : 2019-12-09 DOI: 10.1145/3374549.3374570

Phatcharaporn Kaewnoo, T. Senivongse

{"title":"Identification of Software Problem Report Types Using Multiclass Classification","authors":"Phatcharaporn Kaewnoo, T. Senivongse","doi":"10.1145/3374549.3374570","DOIUrl":"https://doi.org/10.1145/3374549.3374570","url":null,"abstract":"Users often experience failures, have problems, or have further requests with regard to the software they use. Software companies provide customer care service or customer support to handle such issues or problems which sometimes can be resolved right away and sometimes have to be forwarded to responsible persons. Efficiency of problem handling is very important to software companies to maintain customer satisfaction. This paper reports a case of a software company in Thailand whose derivatives trading software is used by a large number of broker companies and their customers. The software company has experienced problems where the reported software problems are classified incorrectly and hence are directed to the wrong persons and have to be reclassified. Assigning the problem reports to the responsible persons in a timely and correct manner is crucial especially for the nature of the trading software. This paper presents a multiclass classification method to classify 11 problem report types that are found in this trading software. Machine learning algorithms that are applied include Multinomial Naïve Bayes, Linear SVC, Random Forest, and Logistic Regression, and consider both lexical features and metadata of the problem reports. In an experiment, Linear SVC performed best, having the F1 score of 91.69% and accuracy of 91.79% when using unigram and trigram features of the problem report text which is written in Thai and English. The paper presents a support tool for classifying new problem reports and providing a dashboard of the problems found in this derivatives trading software for the software team to manage its maintenance.","PeriodicalId":187087,"journal":{"name":"Proceedings of the 2019 3rd International Conference on Software and e-Business","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132385545","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

Construct TRIZ Conflict Resolution Matrix for Business Management Innovation by MBA Case Analysis 通过MBA案例分析构建企业管理创新的TRIZ冲突解决矩阵

Proceedings of the 2019 3rd International Conference on Software and e-Business Pub Date : 2019-12-09 DOI: 10.1145/3374549.3374584

Min Wang, X. Shen, Dongsheng Zhang

{"title":"Construct TRIZ Conflict Resolution Matrix for Business Management Innovation by MBA Case Analysis","authors":"Min Wang, X. Shen, Dongsheng Zhang","doi":"10.1145/3374549.3374584","DOIUrl":"https://doi.org/10.1145/3374549.3374584","url":null,"abstract":"TRIZ method is a common method of solving innovative problems. Recently, the conflict resolution matrix and 40 invention principles are the most widely used tools in the TRIZ method. However, to establish a management conflict resolution matrix is a huge task, especially for the screening of general innovation principles and management parameters. This article follows the TRIZ theory and the analysis of 211 MBA (Master of Business Administration) classic teaching cases to address the screening problems of general innovation principles in the business management. First, we analyzed 361 management conflicts from the 211 MBA cases, and located the conflicts in the management conflict matrix. Secondly, analyze the MBA cases and clarify the basic innovation principles applicable to each conflict in conjunction with the abstract analysis. Again, data analysis is performed on the management conflict resolution matrix formed by the case data. Finally, this paper combines the description statistics to clarify the principles with higher applied frequency, so as to provide application guidance for TRIZ users in the business management innovation.","PeriodicalId":187087,"journal":{"name":"Proceedings of the 2019 3rd International Conference on Software and e-Business","volume":"156 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127359188","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