Pub Date : 2016-10-01DOI: 10.1109/MITICON.2016.8025252
Phunthep Vititanane
Since domestic strategy, publish policy, and legal measures for holistic biodiversity management become challenges, investigating and establishing a practical framework in public section are considered. The paper aims to investigate and to introduce a particular law of domestic biodiversity management act based on people participation concept. Statistical social science methodology based on questioner analysis is applied for assessment corresponding to formulation of strategy, public policy, and legal measures for the development of the biodiversity management on public sector in Thailand. With 480 purposive samples selected from stakeholders, check-listed questioners on 5 rate scales are analyzed by the item objective congruence index technique (IOCIT). The investigation results illustrated that IOCIT is dissipated from 0.7 to 100, where calculated statistical values are acceptable. Briefed strategy government policy to improve management of biodiversity by engaging the public is determined.
{"title":"The law development of biodiversity management using IOCI technique based on domestic people participation","authors":"Phunthep Vititanane","doi":"10.1109/MITICON.2016.8025252","DOIUrl":"https://doi.org/10.1109/MITICON.2016.8025252","url":null,"abstract":"Since domestic strategy, publish policy, and legal measures for holistic biodiversity management become challenges, investigating and establishing a practical framework in public section are considered. The paper aims to investigate and to introduce a particular law of domestic biodiversity management act based on people participation concept. Statistical social science methodology based on questioner analysis is applied for assessment corresponding to formulation of strategy, public policy, and legal measures for the development of the biodiversity management on public sector in Thailand. With 480 purposive samples selected from stakeholders, check-listed questioners on 5 rate scales are analyzed by the item objective congruence index technique (IOCIT). The investigation results illustrated that IOCIT is dissipated from 0.7 to 100, where calculated statistical values are acceptable. Briefed strategy government policy to improve management of biodiversity by engaging the public is determined.","PeriodicalId":127868,"journal":{"name":"2016 Management and Innovation Technology International Conference (MITicon)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122507165","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}
Pub Date : 2016-10-01DOI: 10.1109/MITICON.2016.8025227
Kamna Solanki, S. Kumari
Software cloning means duplication of source code. It is most basic means of software reuse. A software clone is a code fragment which is identical to another in the source code. Clones are harmful for software maintenance because it increases the complexity of system and maintenance cost. If we detect software clones it can decrease software maintenance cost. Many code clone detection techniques have been proposed for this purpose. Several studies show that about 5% to 20% of software system can contain duplicated code which is results of copying existing code fragments and around 60% of the efforts of an organization is wasted in maintaining this. The main disadvantage of code duplication is that if a bug is detected in a code fragment; all the other fragments similar to it should be checked for the possible existence of the same bug. By using different clone detection techniques, we can detect code clones which increase the efficiency of software maintenance process and thus decreases the maintenance cost.
{"title":"Comparative study of software clone detection techniques","authors":"Kamna Solanki, S. Kumari","doi":"10.1109/MITICON.2016.8025227","DOIUrl":"https://doi.org/10.1109/MITICON.2016.8025227","url":null,"abstract":"Software cloning means duplication of source code. It is most basic means of software reuse. A software clone is a code fragment which is identical to another in the source code. Clones are harmful for software maintenance because it increases the complexity of system and maintenance cost. If we detect software clones it can decrease software maintenance cost. Many code clone detection techniques have been proposed for this purpose. Several studies show that about 5% to 20% of software system can contain duplicated code which is results of copying existing code fragments and around 60% of the efforts of an organization is wasted in maintaining this. The main disadvantage of code duplication is that if a bug is detected in a code fragment; all the other fragments similar to it should be checked for the possible existence of the same bug. By using different clone detection techniques, we can detect code clones which increase the efficiency of software maintenance process and thus decreases the maintenance cost.","PeriodicalId":127868,"journal":{"name":"2016 Management and Innovation Technology International Conference (MITicon)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115855078","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}
Pub Date : 2016-10-01DOI: 10.1109/MITICON.2016.8025234
Wirapong Chansanam, Seksak Prabpala
This study aimed to developing a knowledge-based systems of traditional Thai foot massage by using ontology techniques and developing its application as a semantic web. Since local knowledge of traditional Thai foot massage is often presented in plain information and lacking in knowledge organization system, clear understanding of the whole perspective of treatment intended to relieve or heal a disorder and knowledge transfer with traditional Thai massage can hardly be attained. To solve this issues ontology has been recommended to create the explicit of traditional Thai foot massage knowledge. An Ontology has the potential to play an important role in the traditional Thai massage instructional design and identify key classes and relationships among the classes in the domain knowledge. The result of this study is Traditional Thai Foot Massage Ontology (TTFMO), covers classes derived from traditional Thai foot massage as well as local wisdom. The TTFMO consists of 13 main classes: massage, objectives, use_method, pharmacy, discipline, material, diseases, diagnosis, patient_information_basic, actions, time_period, sequence, and demeanor. The TTFMO was accurateness evaluated by seven domain experts includes two ontology engineering specialists and five traditional Thai foot massage practitioners. Over all opinions in general strongly agreed with TTFMO regarding concept identification, relationship identification, content, accuracy, format, ease to use, timeliness, and perceived usefulness. As a TTFMO semantic web application was found to improve the efficiency of knowledge retrieval query by synonyms' information.
{"title":"The development of traditional Thai foot massage knowledge-based systems using ontology technique","authors":"Wirapong Chansanam, Seksak Prabpala","doi":"10.1109/MITICON.2016.8025234","DOIUrl":"https://doi.org/10.1109/MITICON.2016.8025234","url":null,"abstract":"This study aimed to developing a knowledge-based systems of traditional Thai foot massage by using ontology techniques and developing its application as a semantic web. Since local knowledge of traditional Thai foot massage is often presented in plain information and lacking in knowledge organization system, clear understanding of the whole perspective of treatment intended to relieve or heal a disorder and knowledge transfer with traditional Thai massage can hardly be attained. To solve this issues ontology has been recommended to create the explicit of traditional Thai foot massage knowledge. An Ontology has the potential to play an important role in the traditional Thai massage instructional design and identify key classes and relationships among the classes in the domain knowledge. The result of this study is Traditional Thai Foot Massage Ontology (TTFMO), covers classes derived from traditional Thai foot massage as well as local wisdom. The TTFMO consists of 13 main classes: massage, objectives, use_method, pharmacy, discipline, material, diseases, diagnosis, patient_information_basic, actions, time_period, sequence, and demeanor. The TTFMO was accurateness evaluated by seven domain experts includes two ontology engineering specialists and five traditional Thai foot massage practitioners. Over all opinions in general strongly agreed with TTFMO regarding concept identification, relationship identification, content, accuracy, format, ease to use, timeliness, and perceived usefulness. As a TTFMO semantic web application was found to improve the efficiency of knowledge retrieval query by synonyms' information.","PeriodicalId":127868,"journal":{"name":"2016 Management and Innovation Technology International Conference (MITicon)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133777677","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}
Pub Date : 2016-10-01DOI: 10.1109/MITICON.2016.8025258
Y. Sukamongkol
At present, many countries are aware of the global warming crisis which is resulted from the pollution of fossil fuels, therefore, the alternative energy especially solar energy is needed to decrease reliance on conventional energy source. In Thailand, solar photovoltaic (PV) rooftops have promoted by the government to install in the private household. After reviewing, this paper presents factors impacting implementation, expansion and execution of PV rooftops. On one hand, the strength factors that support this campaign are high solar irradiance, renewable energy policy and Feed-in-Tariff. On the other hand, the barriers of solar PV rooftop implementation are technologies, economics, socials and regulations. The limitation of domestic technology and technical expertise is one of the main barriers as well as the high initial cost of PV system installation. The conflict of official regulation and the lack of social awareness of energy crisis also lead to the gradual rate of solar rooftop installation. To resolve those obstructions, the government should fully support in financial subsidies on establishing R&D centers to develop and strengthen domestic PV technologies and also should adapt the provided financial supports such as low interest rate and FIT for people who want to install the PV rooftops. In addition, the government must encourage the public to get the right information about the PV rooftop system. Last, the official laws and regulation must be revised and updated to reduce the conflict of each others. Those solutions will be help to enhance the rate of solar PV rooftops implementation in Thailand.
{"title":"Barriers of the solar PV rooftop promoting in Thailand","authors":"Y. Sukamongkol","doi":"10.1109/MITICON.2016.8025258","DOIUrl":"https://doi.org/10.1109/MITICON.2016.8025258","url":null,"abstract":"At present, many countries are aware of the global warming crisis which is resulted from the pollution of fossil fuels, therefore, the alternative energy especially solar energy is needed to decrease reliance on conventional energy source. In Thailand, solar photovoltaic (PV) rooftops have promoted by the government to install in the private household. After reviewing, this paper presents factors impacting implementation, expansion and execution of PV rooftops. On one hand, the strength factors that support this campaign are high solar irradiance, renewable energy policy and Feed-in-Tariff. On the other hand, the barriers of solar PV rooftop implementation are technologies, economics, socials and regulations. The limitation of domestic technology and technical expertise is one of the main barriers as well as the high initial cost of PV system installation. The conflict of official regulation and the lack of social awareness of energy crisis also lead to the gradual rate of solar rooftop installation. To resolve those obstructions, the government should fully support in financial subsidies on establishing R&D centers to develop and strengthen domestic PV technologies and also should adapt the provided financial supports such as low interest rate and FIT for people who want to install the PV rooftops. In addition, the government must encourage the public to get the right information about the PV rooftop system. Last, the official laws and regulation must be revised and updated to reduce the conflict of each others. Those solutions will be help to enhance the rate of solar PV rooftops implementation in Thailand.","PeriodicalId":127868,"journal":{"name":"2016 Management and Innovation Technology International Conference (MITicon)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115952267","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}
Pub Date : 2016-10-01DOI: 10.1109/MITICON.2016.8025240
Kittima Mekhabunchakij
Linked Data, a method of data representation with interlinks of varied data sources, has become a standard for achieving semantic web. This paper presents an approach to Linked Open Data (LOD) Modeling in order to develop Web of Data based on LOD standards and methodologies and to manage the complexity of the domain of interest. An example from the domain Tourism exemplifies the approach applicable for LOD development and focuses on the design methods and techniques: designing relational data model from various standards and stakeholders in tourism industry; transformations between relational and RDF/OWL data models; and tourism ontology development mainly using Protege. The approach uses the process of mapping relational data to Linked Data and key processes of LOD modeling and prototyping of Web of Data. We propose the approach to modeling LOD for industry decision support. Visualization of key tourism indicators is implemented with the resulted LOD to illustrate the key processes of LOD modeling, and prototyping of Web of Data for the industry. This aims at building of a Proof of Concept (POC) application of visualization of Thai tourism datasets of a 18-year period with complete measurements and indicators of the industry.
关联数据(Linked Data)是一种利用不同数据源之间的相互链接来表示数据的方法，已成为实现语义网的标准。本文提出了一种关联开放数据(LOD)建模方法，以开发基于LOD标准和方法的数据网络，并管理感兴趣领域的复杂性。以旅游领域为例，阐述了适用于LOD开发的方法，重点介绍了设计方法和技术:从旅游行业的各种标准和利益相关者出发，设计关系数据模型;关系和RDF/OWL数据模型之间的转换;旅游本体开发主要使用Protege。该方法使用了关系数据到关联数据的映射过程和Web of data的LOD建模和原型设计的关键过程。提出了一种面向行业决策支持的LOD建模方法。利用生成的LOD实现旅游关键指标的可视化，说明LOD建模的关键过程，以及行业数据网络的原型设计。该项目旨在建立一个概念验证(POC)应用程序，对泰国旅游业18年的数据集进行可视化，并对该行业进行完整的测量和指标。
{"title":"Towards modeling linked open data for decision support: An example application of Thailand tourism linked data visualization","authors":"Kittima Mekhabunchakij","doi":"10.1109/MITICON.2016.8025240","DOIUrl":"https://doi.org/10.1109/MITICON.2016.8025240","url":null,"abstract":"Linked Data, a method of data representation with interlinks of varied data sources, has become a standard for achieving semantic web. This paper presents an approach to Linked Open Data (LOD) Modeling in order to develop Web of Data based on LOD standards and methodologies and to manage the complexity of the domain of interest. An example from the domain Tourism exemplifies the approach applicable for LOD development and focuses on the design methods and techniques: designing relational data model from various standards and stakeholders in tourism industry; transformations between relational and RDF/OWL data models; and tourism ontology development mainly using Protege. The approach uses the process of mapping relational data to Linked Data and key processes of LOD modeling and prototyping of Web of Data. We propose the approach to modeling LOD for industry decision support. Visualization of key tourism indicators is implemented with the resulted LOD to illustrate the key processes of LOD modeling, and prototyping of Web of Data for the industry. This aims at building of a Proof of Concept (POC) application of visualization of Thai tourism datasets of a 18-year period with complete measurements and indicators of the industry.","PeriodicalId":127868,"journal":{"name":"2016 Management and Innovation Technology International Conference (MITicon)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125000440","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}
Pub Date : 2016-10-01DOI: 10.1109/MITICON.2016.8025218
Korawit Chaisu
According to recent time the most issue about plastic waste is the big problem of the world. Especially, plastic packaging bags are come from convenience store or department store such as 7–11, Makro. The packaging consists of various kinds of plastic bags in food packaging that use more than 100 years for degradation. Microorganisms such as bacteria and fungi are involved in the degradation of both natural and synthetic plastics. Biodegradation is governed by different factors that include polymer characteristics, type of organism, and nature of pretreatment. The polymer characteristics such as its mobility, tacticity, crystallinity, molecular weight, the type of functional groups and substituents present in its structure, and plasticizers or additives added to the polymer all play an important role in its degradation. The objectives were study of bacteria (Aneurinibacillus migulanus) that can degrading plastic packaging and efficacy of degradation. This research was study on degradation of plastic films in solid and liquid media, concentration of Optical Density (OD) analysis, and concentration of cell dry (g) analysis. This bacteria (Aneurinibacillus migulanus) can degrade bioplastic plastic packaging in liquid medium within 20 days at 30 °C, 180 rpm. The highest rate of degrading activity, OD 600 nm, Cell dry weight (g) in Champion sample (14%, 2.11, and 0.055 g.), followed by S&P sample (1.9%, 2.12, and 0.061 g.) respectively. However, a well-established study on bioplastic degrading microorganism using optimize condition such as RSM technique still requires more research efforts to be generalized and applied to a wider scope of biodegradable plastics production.
{"title":"Study of plastic degrading bacteria by Aneurinibacillus migulanus","authors":"Korawit Chaisu","doi":"10.1109/MITICON.2016.8025218","DOIUrl":"https://doi.org/10.1109/MITICON.2016.8025218","url":null,"abstract":"According to recent time the most issue about plastic waste is the big problem of the world. Especially, plastic packaging bags are come from convenience store or department store such as 7–11, Makro. The packaging consists of various kinds of plastic bags in food packaging that use more than 100 years for degradation. Microorganisms such as bacteria and fungi are involved in the degradation of both natural and synthetic plastics. Biodegradation is governed by different factors that include polymer characteristics, type of organism, and nature of pretreatment. The polymer characteristics such as its mobility, tacticity, crystallinity, molecular weight, the type of functional groups and substituents present in its structure, and plasticizers or additives added to the polymer all play an important role in its degradation. The objectives were study of bacteria (Aneurinibacillus migulanus) that can degrading plastic packaging and efficacy of degradation. This research was study on degradation of plastic films in solid and liquid media, concentration of Optical Density (OD) analysis, and concentration of cell dry (g) analysis. This bacteria (Aneurinibacillus migulanus) can degrade bioplastic plastic packaging in liquid medium within 20 days at 30 °C, 180 rpm. The highest rate of degrading activity, OD 600 nm, Cell dry weight (g) in Champion sample (14%, 2.11, and 0.055 g.), followed by S&P sample (1.9%, 2.12, and 0.061 g.) respectively. However, a well-established study on bioplastic degrading microorganism using optimize condition such as RSM technique still requires more research efforts to be generalized and applied to a wider scope of biodegradable plastics production.","PeriodicalId":127868,"journal":{"name":"2016 Management and Innovation Technology International Conference (MITicon)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127606769","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}
Pub Date : 2016-10-01DOI: 10.1109/MITICON.2016.8025229
Phassarun Iamamphai, Jeerana Noymanee, W. San-Um, Kitsuchart Pasupa
This paper presents an investigation on a Thailand's open government data website and a comparison between this website and the open websites of the top 6 countries and of the top ASEAN country. The objective of this investigation and comparison was to formulate and submit recommendations that can help increase Thailand's open data ranking to the Electronic Government Agency (Public Organization) (EGA). The Thailand's open government data website has been launched recently as a part of a project called “Open Government Data” which was initiated and is operated by EGA. The website domain name is data.go.th. It comprises 730 datasets and has been built to support governance transparency. Although the website has been in operation for a few years, only a small number of users have made access to the data in the website. Therefore, this study is an attempt to promote the website to the public through systematic functional analysis and efficient promotion approaches, i.e. analyses of website features, contents, and web technologies. The results obtained from a comparison to other countries as well as the analysis of current features of Thailand's open government data website itself reveal that a higher ranking can be achieved mainly through an efficient Application Programming Interface (API) service, data preview feature, Data Management System (DMS) provided by the open source data portal software.
{"title":"Investigations and comparisons of government open data websites through systematic functional analysis and efficient promotion approach","authors":"Phassarun Iamamphai, Jeerana Noymanee, W. San-Um, Kitsuchart Pasupa","doi":"10.1109/MITICON.2016.8025229","DOIUrl":"https://doi.org/10.1109/MITICON.2016.8025229","url":null,"abstract":"This paper presents an investigation on a Thailand's open government data website and a comparison between this website and the open websites of the top 6 countries and of the top ASEAN country. The objective of this investigation and comparison was to formulate and submit recommendations that can help increase Thailand's open data ranking to the Electronic Government Agency (Public Organization) (EGA). The Thailand's open government data website has been launched recently as a part of a project called “Open Government Data” which was initiated and is operated by EGA. The website domain name is data.go.th. It comprises 730 datasets and has been built to support governance transparency. Although the website has been in operation for a few years, only a small number of users have made access to the data in the website. Therefore, this study is an attempt to promote the website to the public through systematic functional analysis and efficient promotion approaches, i.e. analyses of website features, contents, and web technologies. The results obtained from a comparison to other countries as well as the analysis of current features of Thailand's open government data website itself reveal that a higher ranking can be achieved mainly through an efficient Application Programming Interface (API) service, data preview feature, Data Management System (DMS) provided by the open source data portal software.","PeriodicalId":127868,"journal":{"name":"2016 Management and Innovation Technology International Conference (MITicon)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134219757","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}
Pub Date : 2016-10-01DOI: 10.1109/MITICON.2016.8025230
Sombut Foithong, P. Srinil, Kattiya T. Yangyuen, Thanawat Phattaraworamet
Feature selection (FS) is an important preprocessing step for many applications in Data Mining. Most existing FS methods based on rough set theory focus on dependency function, which is based on lower approximation as for measuring the goodness of the feature subset. However, by determining only information from a positive region but neglecting a boundary region, mostly relevant information could be invisible. This paper, the minimal boundary region — maximal lower approximation (mBML) criterion, focuses on feature selection methods based on rough set and mutual information (MI) which use the different values among the lower approximation information and the information contained in the boundary region. The use of this criterion can result in higher predictive accuracy than those obtained using the measure based on the positive region alone. Experimental results are illustrated for crisp and real-valued data and compared with other FS methods in terms of subset size, runtime, and classification accuracy.
{"title":"Rough-mutual feature selection based-on minimal-boundary and maximal-lower","authors":"Sombut Foithong, P. Srinil, Kattiya T. Yangyuen, Thanawat Phattaraworamet","doi":"10.1109/MITICON.2016.8025230","DOIUrl":"https://doi.org/10.1109/MITICON.2016.8025230","url":null,"abstract":"Feature selection (FS) is an important preprocessing step for many applications in Data Mining. Most existing FS methods based on rough set theory focus on dependency function, which is based on lower approximation as for measuring the goodness of the feature subset. However, by determining only information from a positive region but neglecting a boundary region, mostly relevant information could be invisible. This paper, the minimal boundary region — maximal lower approximation (mBML) criterion, focuses on feature selection methods based on rough set and mutual information (MI) which use the different values among the lower approximation information and the information contained in the boundary region. The use of this criterion can result in higher predictive accuracy than those obtained using the measure based on the positive region alone. Experimental results are illustrated for crisp and real-valued data and compared with other FS methods in terms of subset size, runtime, and classification accuracy.","PeriodicalId":127868,"journal":{"name":"2016 Management and Innovation Technology International Conference (MITicon)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115406076","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}
Predictive analytics for healthcare using machine learning is a challenged task to help doctors decide the exact treatments for saving lives. In this paper, we present machine learning techniques for predicting the chronic kidney disease using clinical data. Four machine learning methods are explored including K-nearest neighbors (KNN), support vector machine (SVM), logistic regression (LR), and decision tree classifiers. These predictive models are constructed from chronic kidney disease dataset and the performance of these models are compared together in order to select the best classifier for predicting the chronic kidney disease.
利用机器学习对医疗保健进行预测分析是一项具有挑战性的任务，它可以帮助医生决定准确的治疗方法以挽救生命。本文介绍了利用临床数据预测慢性肾病的机器学习技术。本文探讨了四种机器学习方法，包括 K 近邻（KNN）、支持向量机（SVM）、逻辑回归（LR）和决策树分类器。根据慢性肾脏病数据集构建了这些预测模型，并对这些模型的性能进行了比较，以选出预测慢性肾脏病的最佳分类器。
{"title":"Predictive analytics for chronic kidney disease using machine learning techniques","authors":"Anusorn Charleonnan, Thipwan Fufaung, Tippawan Niyomwong, Wandee Chokchueypattanakit, Sathit Suwannawach, Nitat Ninchawee","doi":"10.1109/MITICON.2016.8025242","DOIUrl":"https://doi.org/10.1109/MITICON.2016.8025242","url":null,"abstract":"Predictive analytics for healthcare using machine learning is a challenged task to help doctors decide the exact treatments for saving lives. In this paper, we present machine learning techniques for predicting the chronic kidney disease using clinical data. Four machine learning methods are explored including K-nearest neighbors (KNN), support vector machine (SVM), logistic regression (LR), and decision tree classifiers. These predictive models are constructed from chronic kidney disease dataset and the performance of these models are compared together in order to select the best classifier for predicting the chronic kidney disease.","PeriodicalId":127868,"journal":{"name":"2016 Management and Innovation Technology International Conference (MITicon)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129628296","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}
Pub Date : 2016-10-01DOI: 10.1109/MITICON.2016.8025235
Nopagon Usahanunth, Waranon Kongsong, S. Tuprakay, S. Tuprakay, S. Sinthaworn, Sathian Charoenrien
Bakelite material has been used to produce as various components for cars and consumer products industry in Thailand. The more car and consumer industrial production the more Bakelite waste generation. Bakelite waste is prohibited to dispose for sanitary landfill and direct burning. This waste management becomes necessary issue. There are many applications of concrete product such as ready mixed concrete, pre-casted concrete and mortar etc. The application of Waste Bakelite plastic to replace natural fine aggregate in mortar mixture is one of plastic waste management approach to mitigate the pollution problem in environment as well as preserve the natural resource by the reduction of natural sand usage in a cement mortar. Cement Mortar is composed of cement, sand and water mixed together generally used for masonry work especially in wall plastering, floor leveling work and applied as the core material for manufacturing of wall brick and floor tile. Consequently, the consumption of mortar is still high as long as construction project is growing. There are some studies of recycled plastic mixed in concrete and mortar but there is insufficiently study data of Waste Bakelite Mortar (WBM). This study of Waste Bakelite Mortar (WBM) was done by the inspection of the compressive strength of mortar specimens and find the correlation between Waste Bakelite Fine Aggregate (WBFA) content and compressive strength of the mortar by preparing and testing mortar specimens with 0% 20 % 40%80% and 100 % sand replacement percentage at each curing age 7 14 and 28 days based on testing standard of American Society of Testing Material (ASTM), comparing test results with Thai Industrial Standard(TIS 1776-2542) allowable compressive strength of plastering cement mortar. The specimen test results shown that the WBM compressive strength and density was lower than Conventional Mortar (CM). The correlation between Waste Bakelite Fine Replacement percentage and the compressive strength and the density of Waste Bakelite Mortar can be represented by a linear regression equation. The optimized replacement percentage to meet TIS 1776-2542 minimum compressive strength can be determined by this equation. The compressive strength of WBM can be predicted by the density of WBM mortar with quadratic equation model. The Bakelite Waste utilization in cement mortar by the natural material replacement is possible in strength inspection and sustainable waste management approach.
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