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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
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Journal DOI :
Korean Institute of Industrial Engineers
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Volume & Issues
Volume 24, Issue 4 - Dec 2011
Volume 24, Issue 3 - Sep 2011
Volume 24, Issue 2 - Jun 2011
Volume 24, Issue 1 - Mar 2011
Selecting the target year
Feature Selecting and Classifying Integrated Neural Network Algorithm for Multi-variate Classification
Yoon, Hyun-Soo ; Baek, Jun-Geol ;
IE interfaces, volume 24, issue 2, 2011, Pages 97~104
DOI : 10.7232/IEIF.2011.24.2.097
Research for multi-variate classification has been studied through two kinds of procedures which are feature selection and classification. Feature Selection techniques have been applied to select important features and the other one has improved classification performances through classifier applications. In general, each technique has been independently studied, however consideration of the interaction between both procedures has not been widely explored which leads to a degraded performance. In this paper, through integrating these two procedures, classification performance can be improved. The proposed model takes advantage of KBANN (Knowledge-Based Artificial Neural Network) which uses prior knowledge to learn NN (Neural Network) as training information. Each NN learns characteristics of the Feature Selection and Classification techniques as training sets. The integrated NN can be learned again to modify features appropriately and enhance classification performance. This innovative technique is called ALBNN (Algorithm Learning-Based Neural Network). The experiments` results show improved performance in various classification problems.
Development of a 3D Semi-Automatic Measurement Protocol for Hand Anthropometric Measurement
Lee, Won-Sup ; Yoon, Sung-Hye ; You, Hee-Cheon ;
IE interfaces, volume 24, issue 2, 2011, Pages 105~111
DOI : 10.7232/IEIF.2011.24.2.105
Measurement protocols for hand anthropometry have been studied for ergonomic product design. The present study developed a 3D semi-automatic measurement protocol (3D-SAMP) which semi-automatically measures various hand dimensions using a 3D scanner. The 3D-SAMP was compared with the conventional direct measurement method (DMM) to examine its effectiveness. The 3D-SAMP consists of (1) fabricating a plaster cast of the hand, (2) placing landmarks on the plaster hand, (3) scanning the plaster hand with a 3D scanner, (4) identifying automatically the positions of the landmarks on the digital hand, and (5) extracting automatically hand anthropometric measurements (lengths, widths, thicknesses, and circumferences). An evaluation experiment conducted in the study found the 3D-SAMP preferred to the DMM in terms of reliability (the number of dimensions exceeding the variability criteria SD
Dynamic Programming Approach for Prize Colleting Travelling Salesman Problem with Time Windows
Tae, Hyun-Chul ; Kim, Byung-In ;
IE interfaces, volume 24, issue 2, 2011, Pages 112~118
DOI : 10.7232/IEIF.2011.24.2.112
This paper introduces one type of prize collecting travelling salesman problem with time windows (PCTSPTW), proposes a mixed integer programming model for the problem, and shows that the problem can be reduced to the elementary shortest path problem with time windows and capacity constraints (ESPPTC). Then, a new dynamic programming algorithm is proposed to solve ESPPTC quickly. Computational results show the effectiveness of the proposed algorithm.
Developing a Bayesian Network Model for Real-time Project Risk Management
Kim, Jee-Young ; Ahn, Sun-Eung ;
IE interfaces, volume 24, issue 2, 2011, Pages 119~127
DOI : 10.7232/IEIF.2011.24.2.119
Most companies have been increasing temporary work projects to maximize the usage of their resources. They also have been developing the effective techniques for analyzing and managing the state of the projects. In order to monitor the state of a project in real-time and predict the project`s future state more accurately, this paper suggests the Bayesian Network (BN) as a tool for discovering the causes of project risk and presenting the failure probability of the project. The proposed BN modeling method with consideration of the Earned Value Management (EVM) method shows how to induce the predictive and conditional probability of the risk occurrence in the future. The advantages of the suggested model are (1) that the cause of a project risk can be easily figured out via the BN, (2) that the future value of the project can be sufficiently increased by updating relevant components of the project, and (3) that more credible prediction can be made in the similar and future situation by using the data obtained in current analysis. A numerical example is also given.
A Resource Allocation Model for Data QC Activities Using Cost of Quality
Lee, Sang-Cheol ; Shin, Wan-Seon ;
IE interfaces, volume 24, issue 2, 2011, Pages 128~138
DOI : 10.7232/IEIF.2011.24.2.128
This research proposes a resource allocation model of Data QC (Quality Control) activities using COQ (Cost of Quality). The model has been developed based on a series of research efforts such as COQ classifications, weight determination of Data QC activities, and an aggregation approach between COQ and Data QC activities. In the first stage of this research, COQ was divided into the four typical classifications (prevention costs, appraisal costs, internal failure costs and external failure costs) through the opinions from five professionals in Data QC. In the second stage, the weights of Data QC activities were elicited from the field professionals. An aggregation model between COQ and Data QC activities has been then proposed to help the practitioners make a resource allocation strategy. DEA (Data Envelopment Analysis) was utilized for locating efficient decision points. The proposed resource allocation model has been validated using the case of Korea national defense information system. This research is unique in that it applies the concept of COQ to the data management for the first time and that it demonstrates a possible contribution to a real world case for budget allocation of national defense information.
A Model-based Performance Study of the EPCglobal Network
Kang, Yong-Shin ; Son, Kyung-Won ; Lee, Yong-Han ; Rhee, Jong-Tae ;
IE interfaces, volume 24, issue 2, 2011, Pages 139~150
DOI : 10.7232/IEIF.2011.24.2.139
The EPCglobal Network is a computer network used to share product data among trading partners. It provides the supply chain with improved visibility and traceability by using Electronic Product Code (EPC), which is stored on an RFID tag. Although this network model is widely accepted as a global standard and the growth of EPCglobal-subscriber base is considerable, the EPC technology adoption process is still in its infancy. This is because some of the critical issues on this model still remain to be verified such as scalability, data management, security, privacy and the economic value of data sharing. In this paper, we focus on scalability issue among the challenges to overcome and we regard performance of the EPCglobal Network only as a track and trace query-processing cost in the network. We developed performance models consisting of three elements of the EPCglobal Network : Discovery Services (DS), EPC Information Services (EPCIS), Object Naming Services (ONS). Then we abstracted out the track and trace query execution model to evaluate performance of the overall EPCglobal Network. Finally using the proposed models, we carried out simulation analysis based on an RFID-based inbound logistics process of automobile parts. This work is an important step towards the EPC technology diffusion and provides guidelines for businesses looking to buy or build the EPCglobal Network-based systems.
Signomial Classification Method with
Lee, Kyung-Sik ;
IE interfaces, volume 24, issue 2, 2011, Pages 151~155
DOI : 10.7232/IEIF.2011.24.2.151
In this study, we propose a signomial classification method with
-)which seeks a sparse signomial function by solving a mixed-integer program to minimize the weighted sum of the
-norm of the coefficient vector of the resulting function and the
-norm of loss caused by the function.
gives an explicit description of the resulting function with a small number of terms in the original input space, which can be used for prediction purposes as well as interpretation purposes. We present a practical implementation of
based on the mixed-integer programming and the column generation procedure previously proposed for the signomial classification method with
-regularization. Computational study shows that
gives competitive performance compared to other widely used learning methods for classification.
The Automatical Process Map Generation Using Network Representation In Radiopharmaceutical Synthesis
Lee, Cheol-Soo ; Heo, Eun-Young ; Kim, Jong-Min ; Kim, Dong-Soo ;
IE interfaces, volume 24, issue 2, 2011, Pages 156~163
DOI : 10.7232/IEIF.2011.24.2.156
The radiopharmaceutical synthesis for PET (positron emission tomography) is composed of chemical reactions using automated synthetical equipment. Due to the radioactive material, the automated equipment is being frequently developed to replace human operators who conduct dangerous, repetitive and dexterous operations. As to operation, the manipulating program is commonly coded using the spread sheet while the whole actuators are mapped in every step. The process map (program) is changed according to such parameters as temperature of reactor, keeping time, mixture sequence and amount of reagent. In cases of customizing the automated synthetical equipment or developing the new radiopharmaceuticals, lots of experiments should be conducted and the programming mistake is not allowed as it can lead abnormal control of the equipment to leak the radioactive materials. The exact process map has depended on trial and error manner. Thus, this study developed the methodology to tabulate the synthetical process to convert the process map automatically while the synthetical module formation is represented by a network model. The proposed method is validated using the actual radiopharmaceutical synthetical procedure.
Optimizing Empty Container Repositioning at a Global Maritime Company
Choi, Seong-Hoon ; Kim, Hwa-Joong ; Kim, Gwang-Tae ;
IE interfaces, volume 24, issue 2, 2011, Pages 164~172
DOI : 10.7232/IEIF.2011.24.2.164
H maritime company in Korea had a long history of difficulty in obtaining enough empty containers to transport its commodities. Despite efforts to resolve the problem, the repositioning of empty containers between depots was still planned manually, which consumed much worker time. To automate the generation of reposition plans, we developed a planning system to optimize the company`s reposition of empty containers between global depots with a linear programming model functioning as a key decision engine in the system. The model determines the route, volume and mode of transportation for repositioning empty containers from depots with surplus containers to those requiring containers, as well as the empty space of ships generated from the unloading or loading of full and empty containers. The system has been in operation in the company`s global network since March 2008.