C. Fang, Chung-Wen Ma, Meng-Lin Chiang, Sei-Wang Chen
{"title":"An infant emotion recognition system using visual and audio information","authors":"C. Fang, Chung-Wen Ma, Meng-Lin Chiang, Sei-Wang Chen","doi":"10.1109/IEA.2017.7939223","DOIUrl":"https://doi.org/10.1109/IEA.2017.7939223","url":null,"abstract":"This study presents an infant emotion recognition system using visual and audio information for infants aged 1 to 7 months. The system is divided into two parts, image processing and speech processing. The image processing part detects the infant's face and extracts facial expressions features. In the face detection stage, the system selects the largest skin color region as the facial area, while in the facial expressions feature extraction stage, the system uses the local ternary pattern (LTP) technology to label facial contours and calculates their corresponding Zernike moments. In the speech processing part, the system uses common mel-frequency cepstral coefficients (MFCCs) and its delta cepstrum coefficients as vocalization features. Finally, the system uses support vector machines (SVMs) to classify the facial expressions features and vocalization features, respectively. By combining these types of classification results, the system reaches a decision about the infant's emotion. The average recognition rate of infant emotions is 85.3% in the experiments which, in our view, makes the proposed system robust and efficient.","PeriodicalId":239397,"journal":{"name":"2017 4th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130211915","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}
S. A. S. Mustaffa, I. Musirin, Muhammad Murtadha Othman, N. Rosli
{"title":"Multi DGPV installation in transmission system for loss minimization","authors":"S. A. S. Mustaffa, I. Musirin, Muhammad Murtadha Othman, N. Rosli","doi":"10.1109/IEA.2017.7939236","DOIUrl":"https://doi.org/10.1109/IEA.2017.7939236","url":null,"abstract":"Most developing countries in the world have witnessed unavoidable increasing power demand. This phenomenon can lead to high power losses and increase in temperature of the transmission lines. Moreover, the continuous increment of the demand can cause reduction of the voltage profile and affect the system stability, which can lead to failure of the power system network due to the stressed condition. Currently, the renewable energy is gaining attention around the globe to meet the generation expansion capacity and to match the increasing load demand. Moreover, the impacts of the renewable energy integration should be studied carefully to avoid any unwanted issues that may lead to power system instability. In this paper, optimal placement and sizing of distributed-generation photovoltaic (DGPV) system are formulated in order to minimize the losses using Adaptive Evolutionary Programming (AEP) on IEEE-30 bus system. DGPV sizes and loadability of selected buses are varied and transmission losses are recorded. The results indicate that the integration of multi DGPV unit in the transmission line improves the line losses of the system.","PeriodicalId":239397,"journal":{"name":"2017 4th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114170649","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}
{"title":"Immune Log-Normal Evolutionary Programming (ILNEP) for solving economic dispatch problem with prohibited operating zones","authors":"M. Manser, I. Musirin, Muhammad Murtadha Othman","doi":"10.1109/IEA.2017.7939199","DOIUrl":"https://doi.org/10.1109/IEA.2017.7939199","url":null,"abstract":"Economic dispatch is an important issue in electrical power system planning and operation. Its aim is to dispatch electricity to the consumers at minimal economic cost, while satisfying system constraints. Prohibited operating zones is one of the constraints which requires attention. This paper presents an efficient optimization technique termed as Immune Log-Normal Evolutionary Programming (ILNEP) to solve economic dispatch problem with prohibited operating zones. The proposed ILNEP optimization technique to solve economic dispatch problem with prohibited operating zones has been tested on the IEEE 26-Bus Reliability Test System (RTS). The proposed method has been tested on three case studies with different load conditions, for validation of its effectiveness. The three case studies are lightly loaded, mediumly loaded and heavily loaded. Comparison of results among ILNEP, artificial immune system (AIS) and evolutionary programming (EP) have been made and it revealed that ILNEP outperformed AIS and EP in giving the lowest total production cost.","PeriodicalId":239397,"journal":{"name":"2017 4th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133080903","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}
{"title":"Application of 7 quality control (7 QC) tools for quality management: A case study of a liquid chemical warehousing","authors":"Punyisa Kuendee","doi":"10.1109/IEA.2017.7939188","DOIUrl":"https://doi.org/10.1109/IEA.2017.7939188","url":null,"abstract":"The purpose of the study was to apply some of the seven quality control tools (7 QC tools) for reducing delay the delivery problem. The Cause and Effect Diagram was found out the root causes of this problem and the Pareto Chart was used to help ordering the important of delay the delivery problem, it was found that coordination problem was the major cause. Finally, the Matrix Diagram was used to solve the problem for assigning responsibilities by improving the cause of three reasons: 1. work system 2.work equipment and 3.employees. The results showed that the percentage of operations with reduced error from between 5–10% to 2–3%. The paper is dedicated to present concepts to show how the quality tools can be used to solve problems and improve quality.","PeriodicalId":239397,"journal":{"name":"2017 4th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"66 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121002312","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}
{"title":"Minimizing waste using lean manufacturing: A case in cement production","authors":"E. Amrina, Angela Artha A. Lubis","doi":"10.1109/IEA.2017.7939181","DOIUrl":"https://doi.org/10.1109/IEA.2017.7939181","url":null,"abstract":"Cement is one of the strategic commodities that supporting acceleration of infrastructure development and economic growth. It forces the cement companies to improve the production process to be more effective and efficient. Therefore, the cement companies are required to understand which of activities can increase the value added to the product. This study aims to minimize wastes in the cement production process using lean manufacturing approach. Waste Relationship Matrix (WRM), Waste Assessment Questionnaire (WAQ), and Value Stream Analysis Tools (VALSAT) are applied to identify and minimize the wastes. Cause and Effect Diagram and Failure Mode and Effect Analysis (FMEA) are then used to determine the root cause of problems and the action plans. The results of WRM and WAQ indicated the three highest wastes in the cement production consist of defects, over production, and inventory. Based on the analysis using Process Activity Mapping (PAM) tool, it obtained the activities in the cement production are mostly categorized into non value added but necessary activities. The most failure mode is founded in the raw mill process. Low quality of material is suggested as the highest potential risk that needs high attention from the production manager. Then, improvements suggested to reduce the production cycle time and maintain the quality of material. It hoped the cement companies can improve their production process performance as well as increasing the company's competitiveness.","PeriodicalId":239397,"journal":{"name":"2017 4th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124000211","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}
P. Pitayachaval, Kittichai Chittrakool, W. Arjharn
{"title":"Integration of Business Model Canvas (BMC) and Quality Function Deployment (QFD) to design product","authors":"P. Pitayachaval, Kittichai Chittrakool, W. Arjharn","doi":"10.1109/IEA.2017.7939182","DOIUrl":"https://doi.org/10.1109/IEA.2017.7939182","url":null,"abstract":"Under rapidly changing customer requirement and increased competitiveness in marketplace force the company to rethink the way of product development. Since, the company's ability to survival in business depends on providing to respond customer requirements. In order to respond customer requirements, the product development is the key success factor in the modern business. A popular techniques in a product development is a Quality Function Deployment (QFD). This paper presents the analyses and apply the Business Model Canvas (BMC) integrated process model for Quality Function Deployment (QfD).","PeriodicalId":239397,"journal":{"name":"2017 4th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114441760","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}
{"title":"Enhancement of forced convection heat transfer on LED by ionic wind","authors":"J. Lee, E. V. Lau","doi":"10.1109/IEA.2017.7939174","DOIUrl":"https://doi.org/10.1109/IEA.2017.7939174","url":null,"abstract":"The main purpose of this study is to investigate the heat transfer enhancement provided by ionic wind on LED. Ionic wind is applied onto a bulk flow in order to distort the boundary layer in an effort to increase the cooling effect on the LED. The ionic wind generator used in this case involved a stainless steel needle acting as emitter electrode while a copper tape is used as collector electrode. Both electrodes are placed in parallel to each other. An axial fan is placed at the inlet of a flow channel to provide the bulk flow. A maximum heat transfer enhancement of 38 % by ionic wind is recorded at applied voltage of 16.3 kV as compared to the case without ionic wind. The heat transfer enhancement is found to be independent of the bulk flow velocities and the ratio of heat transfer coefficient over total consumption is found to be at 63.75 W/m2K per unit power at the maximum heat transfer enhancement.","PeriodicalId":239397,"journal":{"name":"2017 4th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123466691","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}
{"title":"Feed rate and volume of material effects in fused deposition modeling nozzle wear","authors":"P. Pitayachaval, Kriengsak Masnok","doi":"10.1109/IEA.2017.7939175","DOIUrl":"https://doi.org/10.1109/IEA.2017.7939175","url":null,"abstract":"Fused deposition modeling (FDM) is a fast growing technology due to its ability to build functional parts having complex geometrical shape in reasonable time period. Traditionally, FDM have been able to build parts only in thermoplastic but the modern FDM can process parts in composite material filaments such as poly lactic acid (PLA) filled bronze, iron or stainless steel in which these materials will cause nozzle wear. The wear of the nozzle depends on many process variables. In this study, two important process parameters include feed rate and volume of material are considered. Experiments were conducted by using standard nozzle, fitted with FDM machine and printed PLA metal-filled material, then nozzle wear was investigated by microscope. The results showed the effects of these process parameters that significant effect on the FDM nozzle wear.","PeriodicalId":239397,"journal":{"name":"2017 4th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"331 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121840193","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}
I. Siregar, U. Tarigan, Dicky Ardilles Siregar, Anizar, R. M. Sari, M. Tambunan, E. Ginting, Amalia, T. Nasution
{"title":"Determination of optimal production planning in palm oil company (Case study)","authors":"I. Siregar, U. Tarigan, Dicky Ardilles Siregar, Anizar, R. M. Sari, M. Tambunan, E. Ginting, Amalia, T. Nasution","doi":"10.1109/IEA.2017.7939178","DOIUrl":"https://doi.org/10.1109/IEA.2017.7939178","url":null,"abstract":"This case study was conducted at a company engaged in the processing of palm oil into Crude Palm Oil (CPO). During this time, the company's factory is not operating effectively and efficiently. The production planning in the company is done with estimation that based on past demand. But the estimation made less effective because the companies are often faced with some situations such as incompatibility between production volume demands with fluctuates demand. The impact of production and mismatch of demand volume results a high opportunity cost loss. This research will use an approach to optimize production planning by using goal programming. This method is used to perform the maximization or minimization of resources from several owned company with the objective function. Goal programming is a mathematical model that is deemed suitable for solving multi-purpose problems because of using variable deviation. The purpose of the study is to plan optimal amount of production with a view to capacity constraints, material and resources provided by the company to lower the cost of opportunity lost. The specific objective of this study is to determine the determinants of production planning, conducting formulation factor constraints and objectives as well as optimization of the number of products produced. The achievements obtained from the optimization of production planning for 12 periods (one year) are respectively 66%, 67%, 58%, 64%, 73%, 81%, 84%, 95%, 96%, 86%, 80% and 75%. This study proves the success of this method applied to the company, so the company can plan production more optimal than before.","PeriodicalId":239397,"journal":{"name":"2017 4th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116757470","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}
{"title":"Scheduling problems of automated guided vehicles in job shop, flow shop, and container terminals","authors":"Essam Kaoud, Mahmoud A. El-Sharief, M. El-Sebaie","doi":"10.1109/IEA.2017.7939179","DOIUrl":"https://doi.org/10.1109/IEA.2017.7939179","url":null,"abstract":"Automated guided vehicles have been widely used in flexible manufacturing systems especially in a job shop and flow shop. Recently, they are included in other fields such as container terminals. This paper demonstrates a literature review of the last three decades about the scheduling problems of the automated guided vehicles in three main classes, namely job shops, flow shops, and container terminals. We classify the literature according to the scheduling problems and the solution approaches. The results of the survey are that the solution methods mainly focus on using simulation as a key performance analysis tool, whereas, the big computation times of the developed mathematical models make heuristics approaches are dominant for solving such models. After that, we discuss research gaps to the purpose of finding new research directions.","PeriodicalId":239397,"journal":{"name":"2017 4th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122658383","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}