Pub Date : 2017-11-01DOI: 10.1109/ICAWST.2017.8256466
Hiroaki Yuze, S. Nabeta, M. Sagara
Since 1999, University of Shizuoka has been developing and operating an Internet-based safety confirmation system for students and university staffs. In the instance of Kumamoto Earthquake in 2016, University of Shizuoka provided Prefectural University of Kumamoto with the safety confirmation system. In this study, we used safety data collected through the safety confirmation system at University of Shizuoka during the Great East Japan Earthquake in 2011 and at Prefectural University of Kumamoto during the Kumamoto Earthquake in 2016 to comparatively analyze the users' safety information registration behaviors.
{"title":"Analysis of information registration behavior to safety confirmation system for university","authors":"Hiroaki Yuze, S. Nabeta, M. Sagara","doi":"10.1109/ICAWST.2017.8256466","DOIUrl":"https://doi.org/10.1109/ICAWST.2017.8256466","url":null,"abstract":"Since 1999, University of Shizuoka has been developing and operating an Internet-based safety confirmation system for students and university staffs. In the instance of Kumamoto Earthquake in 2016, University of Shizuoka provided Prefectural University of Kumamoto with the safety confirmation system. In this study, we used safety data collected through the safety confirmation system at University of Shizuoka during the Great East Japan Earthquake in 2011 and at Prefectural University of Kumamoto during the Kumamoto Earthquake in 2016 to comparatively analyze the users' safety information registration behaviors.","PeriodicalId":378618,"journal":{"name":"2017 IEEE 8th International Conference on Awareness Science and Technology (iCAST)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117035012","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 : 2017-11-01DOI: 10.1109/ICAWST.2017.8256435
Arian Dhini, B. Kusumoputro, I. Surjandari
Steam turbine is the main system of a steam power plant and critical for power generation. Therefore, there is urgency for maintaining the reliability and availability of a steam turbine. A fast and accurate fault detection and diagnosis (FDD) system should be developed as an integral part to prevent a system from catastrophic disaster due to unhandled failures. Many previous studies applied model-based methods to build the FDD system. However, using those approaches required prior knowledge of the system. The power plant is a complex system, where comprehensive process knowledge is a real challenge. On the other hand, power plants have implemented condition monitoring which resulted in process monitoring data. Therefore, this study proposed a data-driven FDD system in a steam turbine of thermal power plant. The study used the process monitoring data from an Indonesian government owned steam power plant. A neural network based classifier was constructed to detect and diagnose faults as well as normal operating condition based on three scenarios. The result showed that the last two scenarios, with and without PCA approach, outperformed the first scenario which only used selected process parameters. The study demonstrated the superiority of data driven approach in the fault detection and diagnosis area.
{"title":"Neural network based system for detecting and diagnosing faults in steam turbine of thermal power plant","authors":"Arian Dhini, B. Kusumoputro, I. Surjandari","doi":"10.1109/ICAWST.2017.8256435","DOIUrl":"https://doi.org/10.1109/ICAWST.2017.8256435","url":null,"abstract":"Steam turbine is the main system of a steam power plant and critical for power generation. Therefore, there is urgency for maintaining the reliability and availability of a steam turbine. A fast and accurate fault detection and diagnosis (FDD) system should be developed as an integral part to prevent a system from catastrophic disaster due to unhandled failures. Many previous studies applied model-based methods to build the FDD system. However, using those approaches required prior knowledge of the system. The power plant is a complex system, where comprehensive process knowledge is a real challenge. On the other hand, power plants have implemented condition monitoring which resulted in process monitoring data. Therefore, this study proposed a data-driven FDD system in a steam turbine of thermal power plant. The study used the process monitoring data from an Indonesian government owned steam power plant. A neural network based classifier was constructed to detect and diagnose faults as well as normal operating condition based on three scenarios. The result showed that the last two scenarios, with and without PCA approach, outperformed the first scenario which only used selected process parameters. The study demonstrated the superiority of data driven approach in the fault detection and diagnosis area.","PeriodicalId":378618,"journal":{"name":"2017 IEEE 8th International Conference on Awareness Science and Technology (iCAST)","volume":"397 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122859862","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 : 2017-11-01DOI: 10.1109/ICAWST.2017.8256467
Chin-Feng Lee, Ying-Xiang Wang
Image data hiding technology is a secret communication which carries hidden data in such a way that no one apart from the sender and intended recipient can even realize there is a hidden message. High embedding capacity, good images quality and security are three important essentials. In this paper, each confidential hexadecimal will be carried by two cover pixels based on a magic matrix generated from a square template to reach the goal of higher embedding capacity while keeping good image visualization. Experimental results reveal that the proposed scheme guarantees higher embedding capacity of 2 bits per pixel and has the PSNR of 44.7 dB on average. Moreover, secret keys are used to ensure security consideration.
{"title":"An image hiding scheme based on magic square","authors":"Chin-Feng Lee, Ying-Xiang Wang","doi":"10.1109/ICAWST.2017.8256467","DOIUrl":"https://doi.org/10.1109/ICAWST.2017.8256467","url":null,"abstract":"Image data hiding technology is a secret communication which carries hidden data in such a way that no one apart from the sender and intended recipient can even realize there is a hidden message. High embedding capacity, good images quality and security are three important essentials. In this paper, each confidential hexadecimal will be carried by two cover pixels based on a magic matrix generated from a square template to reach the goal of higher embedding capacity while keeping good image visualization. Experimental results reveal that the proposed scheme guarantees higher embedding capacity of 2 bits per pixel and has the PSNR of 44.7 dB on average. Moreover, secret keys are used to ensure security consideration.","PeriodicalId":378618,"journal":{"name":"2017 IEEE 8th International Conference on Awareness Science and Technology (iCAST)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122077430","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 : 2017-11-01DOI: 10.1109/ICAWST.2017.8256521
Atsushi Kawamura, B. Chakraborty
Feature subset selection is very important as a preprocessing step for pattern recognition and data mining problems. The selected feature subset is expected to produce maximum possible classification accuracy with a minimum possible number of features. For optimal feature selection, a suitable evaluation function and an efficient search method are needed. There are two main approaches. In filter approach, the inherent characteristics of the data set is used for feature evaluation while in wrapper approach, the classification accuracy is used as the evaluation function. Both the approaches have relative merits and demerits. In this paper a suitable combination of both filter and wrapper approch is proposed for selection of optimal feature subset with evolutionary algorithm. Correlation based feature selection (CFS) and minimum redundancy and maximum relevance (mRMR) algorithms are used as filter evaluation approach, binary genetic algorithm (BGA) and binary particle swarm optimization (BPSO) are used as evolutionary serach algorithms. The simulation experiments are done with benchmark data sets. The simulation results show that proper hybridization approach is effective in achieving optimal feature subset selection with minimum number of features having high classification accuracy and low computational cost.
{"title":"A hybrid approach for optimal feature subset selection with evolutionary algorithms","authors":"Atsushi Kawamura, B. Chakraborty","doi":"10.1109/ICAWST.2017.8256521","DOIUrl":"https://doi.org/10.1109/ICAWST.2017.8256521","url":null,"abstract":"Feature subset selection is very important as a preprocessing step for pattern recognition and data mining problems. The selected feature subset is expected to produce maximum possible classification accuracy with a minimum possible number of features. For optimal feature selection, a suitable evaluation function and an efficient search method are needed. There are two main approaches. In filter approach, the inherent characteristics of the data set is used for feature evaluation while in wrapper approach, the classification accuracy is used as the evaluation function. Both the approaches have relative merits and demerits. In this paper a suitable combination of both filter and wrapper approch is proposed for selection of optimal feature subset with evolutionary algorithm. Correlation based feature selection (CFS) and minimum redundancy and maximum relevance (mRMR) algorithms are used as filter evaluation approach, binary genetic algorithm (BGA) and binary particle swarm optimization (BPSO) are used as evolutionary serach algorithms. The simulation experiments are done with benchmark data sets. The simulation results show that proper hybridization approach is effective in achieving optimal feature subset selection with minimum number of features having high classification accuracy and low computational cost.","PeriodicalId":378618,"journal":{"name":"2017 IEEE 8th International Conference on Awareness Science and Technology (iCAST)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123117466","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 : 2017-11-01DOI: 10.1109/ICAWST.2017.8256459
Yueh-Hsun Shih, C. Hsiao, W. Chu
Nowadays, the medical institutions still lack of real demonstration of meaningful use of personal healthcare services for healthcare. In this research, we planned to bring the personal healthcare service into real usage by taking the radiation oncology department as an example. The personal healthcare integration framework is composed of the following systems: A Single sign-on (SSO) portal, an e-learning platform (Moodle) and a radiation oncology information system (ARIATM). In this research, we integrate the patient's health information in the hospital and provide the right-time digital patient instruction service. There are 792 cancer patients registered in our system, and 85% of them agreed that their experience with the system were positive, and almost 4 in 5 said they are confident that they or their families had received proper cancer knowledge they needed during the cancer treatment period.
{"title":"Establishing the application of personal healthcare service system for cancer patients","authors":"Yueh-Hsun Shih, C. Hsiao, W. Chu","doi":"10.1109/ICAWST.2017.8256459","DOIUrl":"https://doi.org/10.1109/ICAWST.2017.8256459","url":null,"abstract":"Nowadays, the medical institutions still lack of real demonstration of meaningful use of personal healthcare services for healthcare. In this research, we planned to bring the personal healthcare service into real usage by taking the radiation oncology department as an example. The personal healthcare integration framework is composed of the following systems: A Single sign-on (SSO) portal, an e-learning platform (Moodle) and a radiation oncology information system (ARIATM). In this research, we integrate the patient's health information in the hospital and provide the right-time digital patient instruction service. There are 792 cancer patients registered in our system, and 85% of them agreed that their experience with the system were positive, and almost 4 in 5 said they are confident that they or their families had received proper cancer knowledge they needed during the cancer treatment period.","PeriodicalId":378618,"journal":{"name":"2017 IEEE 8th International Conference on Awareness Science and Technology (iCAST)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114074899","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 : 2017-11-01DOI: 10.1109/ICAWST.2017.8256511
K. Chiou, Ming-min Lo, Guo-Wei Wu
In this study, we have adopted factors such as intellectual capital, financial ratios and corporate governance variables to construct a financial distress forecasting model by logistic regression. Furthermore, we employ the criteria of minimizing the sum of the two error probability in models I and II to determine the optimal threshold value, so as to increase the forecasting ability of a financial crisis forecasting model. We have taken 54 electronics companies listed in Taiwan Stock Exchange (TSE) and Over the Counter (OTC) during the periods from 2012 to 2015 to be our observation. 18 companies out of the 54 has been financially distressed in 2015. The results show that we could effectively construct a lower threshold value on the basis of the dynamic threshold value to carry out early warning (such as p = 0.32 ∼ 0.43 < p = 0.5) than those in terms of the traditional one half rule. The total error prediction probability could be reduced by 8.33% to 30.56%. In addition, the empirical evidence shows that after adding the intellectual capital variables, it could enhance the forecasting power.
{"title":"The minimizing prediction error on corporate financial distress forecasting model: An application of dynamic distress threshold value","authors":"K. Chiou, Ming-min Lo, Guo-Wei Wu","doi":"10.1109/ICAWST.2017.8256511","DOIUrl":"https://doi.org/10.1109/ICAWST.2017.8256511","url":null,"abstract":"In this study, we have adopted factors such as intellectual capital, financial ratios and corporate governance variables to construct a financial distress forecasting model by logistic regression. Furthermore, we employ the criteria of minimizing the sum of the two error probability in models I and II to determine the optimal threshold value, so as to increase the forecasting ability of a financial crisis forecasting model. We have taken 54 electronics companies listed in Taiwan Stock Exchange (TSE) and Over the Counter (OTC) during the periods from 2012 to 2015 to be our observation. 18 companies out of the 54 has been financially distressed in 2015. The results show that we could effectively construct a lower threshold value on the basis of the dynamic threshold value to carry out early warning (such as p = 0.32 ∼ 0.43 < p = 0.5) than those in terms of the traditional one half rule. The total error prediction probability could be reduced by 8.33% to 30.56%. In addition, the empirical evidence shows that after adding the intellectual capital variables, it could enhance the forecasting power.","PeriodicalId":378618,"journal":{"name":"2017 IEEE 8th International Conference on Awareness Science and Technology (iCAST)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121148799","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 : 2017-11-01DOI: 10.1109/ICAWST.2017.8256529
Roozbeh Sadeghian Broujeny, K. Madani, A. Chebira, Laurent Hurtard
The challenging problem of energy consumption of building, and in a more general way of cities, and its enormous growth due to recent decades' human activities leaded to an appealing development of fields focusing smart buildings and smart cities regarding energy efficiency. Ability to avoid of wasting energy is appealing now and thus researchers are looking for new energy consumption trend and new way for building energy management system. However, such smart edifices or cities have to integrate the ability of their own awareness as well about the environment in which they evolve as about the impact of their users on their energy efficiency. Within this context, in this paper we introduce a multi-layer system able as well to monitor as to control energy consumption and state of a building, proffering the buildings a kind of self-awareness about its energetic state. The investigated system has been implemented in a five-floors building of Senart Campus of UPEC (one of main campuses of this Parisian university) providing an appealing experimental platform for validation of the investigated concept. The present paper describes the aforementioned system and gives first results of validation of the investigated system.
{"title":"A multi-layer system for smart-buildings' functional and energy-efficiency awareness: Implementation on a real five-floors building","authors":"Roozbeh Sadeghian Broujeny, K. Madani, A. Chebira, Laurent Hurtard","doi":"10.1109/ICAWST.2017.8256529","DOIUrl":"https://doi.org/10.1109/ICAWST.2017.8256529","url":null,"abstract":"The challenging problem of energy consumption of building, and in a more general way of cities, and its enormous growth due to recent decades' human activities leaded to an appealing development of fields focusing smart buildings and smart cities regarding energy efficiency. Ability to avoid of wasting energy is appealing now and thus researchers are looking for new energy consumption trend and new way for building energy management system. However, such smart edifices or cities have to integrate the ability of their own awareness as well about the environment in which they evolve as about the impact of their users on their energy efficiency. Within this context, in this paper we introduce a multi-layer system able as well to monitor as to control energy consumption and state of a building, proffering the buildings a kind of self-awareness about its energetic state. The investigated system has been implemented in a five-floors building of Senart Campus of UPEC (one of main campuses of this Parisian university) providing an appealing experimental platform for validation of the investigated concept. The present paper describes the aforementioned system and gives first results of validation of the investigated system.","PeriodicalId":378618,"journal":{"name":"2017 IEEE 8th International Conference on Awareness Science and Technology (iCAST)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126802377","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 : 2017-11-01DOI: 10.1109/ICAWST.2017.8256487
S. Horng, Shieh-Shing Lin
In this work, a two-stage approach is proposed for solving a class of Quadratic programming Problems containing Continuous and Discrete control variables (QPCD). In the firststage, a heuristic search technique was used to choose N excellent solutions from entire solution space. In the second-stage, the sensitivity theory was utilized to evaluate the N excellent solutions and pick the top S solutions to build the candidate subset. These S candidate solutions in the candidate subset were evaluated using the exact model. The Ordinal Optimization theory showed that the optimal solution chosen from candidate subset belongs to the good enough solution with high probability. The proposed approach was compared with the traditional Lagrange relaxing method for solving the IEEE 30-bus power systems. The performances were evaluated by two compared indexes, Time Reducing Index and Objective value Reducing Index. Test results demonstrate that the proposed approach outperforms the traditional Lagrange relaxing method.
{"title":"Apply ordinal optimization to solve the quadratic programming problems","authors":"S. Horng, Shieh-Shing Lin","doi":"10.1109/ICAWST.2017.8256487","DOIUrl":"https://doi.org/10.1109/ICAWST.2017.8256487","url":null,"abstract":"In this work, a two-stage approach is proposed for solving a class of Quadratic programming Problems containing Continuous and Discrete control variables (QPCD). In the firststage, a heuristic search technique was used to choose N excellent solutions from entire solution space. In the second-stage, the sensitivity theory was utilized to evaluate the N excellent solutions and pick the top S solutions to build the candidate subset. These S candidate solutions in the candidate subset were evaluated using the exact model. The Ordinal Optimization theory showed that the optimal solution chosen from candidate subset belongs to the good enough solution with high probability. The proposed approach was compared with the traditional Lagrange relaxing method for solving the IEEE 30-bus power systems. The performances were evaluated by two compared indexes, Time Reducing Index and Objective value Reducing Index. Test results demonstrate that the proposed approach outperforms the traditional Lagrange relaxing method.","PeriodicalId":378618,"journal":{"name":"2017 IEEE 8th International Conference on Awareness Science and Technology (iCAST)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127654317","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 : 2017-11-01DOI: 10.1109/ICAWST.2017.8256463
C. Hsieh, Shih-Cheng Homg, Zen-Jun Huang, Qiangfu Zhao
Recently, single image haze removal has been investigated extensively. However, its performance is evaluated mainly based on subjective visual quality of recovered images. Several objective assessments have been attempted to evaluate haze removal schemes objectively, such as no-reference image quality model and edge-based assessments. Unfortunately, these objective assessments are not able to measure visual quality of recovered images appropriately, since the visual quality of recovered images is not concerned. Note that an objective assessment for haze removal should consider dehazing effect and distortions introduced during the haze removal process. In this paper, an objective assessment for haze removal based on two-objective optimization is presented where both dehazing effect and distortions of color and artifacts in recovered images are considered. The two indicators are combined with a weighted Euclidean distance. Two examples with two dehazing schemes are provided to justify the proposed objective assessment for haze removal. The simulation indicates that the objective results are consistent with their subjective visual quality of recovered images. It suggests that the proposed objective assessment may be applied to evaluate different haze removal schemes objectively.
{"title":"Objective haze removal assessment based (Two-objective optimization","authors":"C. Hsieh, Shih-Cheng Homg, Zen-Jun Huang, Qiangfu Zhao","doi":"10.1109/ICAWST.2017.8256463","DOIUrl":"https://doi.org/10.1109/ICAWST.2017.8256463","url":null,"abstract":"Recently, single image haze removal has been investigated extensively. However, its performance is evaluated mainly based on subjective visual quality of recovered images. Several objective assessments have been attempted to evaluate haze removal schemes objectively, such as no-reference image quality model and edge-based assessments. Unfortunately, these objective assessments are not able to measure visual quality of recovered images appropriately, since the visual quality of recovered images is not concerned. Note that an objective assessment for haze removal should consider dehazing effect and distortions introduced during the haze removal process. In this paper, an objective assessment for haze removal based on two-objective optimization is presented where both dehazing effect and distortions of color and artifacts in recovered images are considered. The two indicators are combined with a weighted Euclidean distance. Two examples with two dehazing schemes are provided to justify the proposed objective assessment for haze removal. The simulation indicates that the objective results are consistent with their subjective visual quality of recovered images. It suggests that the proposed objective assessment may be applied to evaluate different haze removal schemes objectively.","PeriodicalId":378618,"journal":{"name":"2017 IEEE 8th International Conference on Awareness Science and Technology (iCAST)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121745318","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 : 2017-11-01DOI: 10.1109/ICAWST.2017.8256427
I. Surjandari, Asma Rosyidah
Implementation of marketing strategy plays an important role in increasing the number of sales and market penetration, especially in competitive market. In geo-marketing approach, spatial analysis of customer distribution patterns is used as a parameter to determine a comprehensive marketing strategy. Hence, this study was conducted to find the spatial patterns of fixed broadband customer distribution from geographic information system based customer data. This research was conducted using spatial analysis method, which is kernel density estimation. The results obtained from this study provide an overview of customer area mapping in the form of heatmap.
{"title":"Fixed broadband customer area mapping using spatial analysis","authors":"I. Surjandari, Asma Rosyidah","doi":"10.1109/ICAWST.2017.8256427","DOIUrl":"https://doi.org/10.1109/ICAWST.2017.8256427","url":null,"abstract":"Implementation of marketing strategy plays an important role in increasing the number of sales and market penetration, especially in competitive market. In geo-marketing approach, spatial analysis of customer distribution patterns is used as a parameter to determine a comprehensive marketing strategy. Hence, this study was conducted to find the spatial patterns of fixed broadband customer distribution from geographic information system based customer data. This research was conducted using spatial analysis method, which is kernel density estimation. The results obtained from this study provide an overview of customer area mapping in the form of heatmap.","PeriodicalId":378618,"journal":{"name":"2017 IEEE 8th International Conference on Awareness Science and Technology (iCAST)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125771380","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}
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