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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
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Journal of Intelligence and Information Systems
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Korea Inteligent Information System Society
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Volume & Issues
Volume 14, Issue 4 - Dec 2008
Volume 14, Issue 3 - Sep 2008
Volume 14, Issue 2 - Jun 2008
Volume 14, Issue 1 - Mar 2008
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JCBP : A Case-Based Planning System
Kim, In-Cheol ; Kim, Man-Soo ;
Journal of Intelligence and Information Systems , volume 14, issue 4, 2008, Pages 1~18
By using previous similar case plans, the case-based planning (CBP) systems can generate efficiently plans for new problems. However, most existing CBP systems show limited functionalities for case retrieval and case generalization. Moreover, they do not allow their users to participate in the process of plan generation. To support efficient memory use and case retrieval, the proposed case-based planning system, JCBP, groups the set of cases sharing the same goal in each domain into individual case bases and maintains indexes to these individual case bases. The system applies the heuristic knowledge automatically extracted from the problem model to the case adaptation phase. It provides a sort of case generalization through goal regression. Also JCBP can operate in an interactive mode to support a mixed-initiative planning. Since it considers and utilizes user's preference and knowledge for solving the given planning problems, it can generate solution plans satisfying more user's needs and reduce the complexity of plan generation.
Ontology Mapping Composition for Query Transformation on Distributed Environments
Jung, Jason J. ;
Journal of Intelligence and Information Systems , volume 14, issue 4, 2008, Pages 19~30
Semantic heterogeneity should be overcome to support automated information sharing process between information systems in ontology-based distributed environments. To do so, traditional approaches have been based on explicit mapping between ontologies from human experts of the domain. However, the manual tasks are very expensive, so that it is difficult to obtain ontology mappings between all possible pairs of information systems. Thereby, in this paper, we propose a system to make the existing mapping information sharable and exchangeable. It means that the proposed system can collect the existing mapping information and aggregate them. Consequently, we can estimate the ontology mappings in an indirect manner. In particular, this paper focuses on query propagation on the distributed networks. Once we have the indirect mapping between systems, the queries can be efficiently transformed to automatically exchange knowledge between heterogeneous information systems.
Planning for Intra-Block Remarshaling to Enhance the Efficiency of Loading Operations in an Automated Container Terminal
Park, Ki-Yeok ; Park, Tae-Jin ; Kim, Min-Jung ; Ryu, Kwang-Ryel ;
Journal of Intelligence and Information Systems , volume 14, issue 4, 2008, Pages 31~46
A stacking yard of a container terminal is a space for temporarily storing the containers that are carried in or imported until they are carried out or exported. If the containers are stacked in an inappropriate way, the efficiency of operation at the time of loading decreases significantly due to the rehandlings. The remarshaling is the task of rearranging containers during the idle time of transfer crane for the effective loading operations. This paper proposes a method of planning for remarshaling in a yard block of an automated container terminal. Our method conducts a search in two stages. In the first stage, the target stacking configuration is determined in such a way that the throughput of loading is maximized. In the second stage, the crane schedule is determined so that the remarshaling task can be completed as fast as possible in moving the containers from the source configuration to the target configuration. Simulation experiments have been conducted to compare the efficiency of loading operations before and after remarshaling. The results show that our remarshaling plan is really effective in increasing the efficiency of loading operation.
Design and Analysis of Business Model using Mobile RFID in the Exhibition Space and its Cases
Jun, Jung-Ho ; Lee, Kyoung-Jun ;
Journal of Intelligence and Information Systems , volume 14, issue 4, 2008, Pages 47~68
The aim of this research is to develop a new business model using mobile RFID in exhibition spaces such as museums and art galleries. Using mobile RFID, the exhibition space is expected to be evolved from a simple media space only for the exhibition to an extended space integrating media, commerce and entertainment. This paper proposes a u-Exhibition business model and its scenario in the u-Exhibition space. We discuss the real-world issues for the implementation and show the ways of investigating working conditions for the business model through revenue simulation and analyzing the expected value of tag installed on the exhibition space by so-called 'tag evaluation model.'
Measurement Criteria for Ontology Extraction Tools
Park, Jin-Soo ; Cho, Won-Chin ; Rho, Sang-Kyu ;
Journal of Intelligence and Information Systems , volume 14, issue 4, 2008, Pages 69~87
The Web is evolving toward the Semantic Web. Ontologies are considered as a crucial component of the Semantic Web since it is the backbone of knowledge representation for this Web. However, most of these ontologies are still built manually. Manual building of an ontology is time-consuming activity which requires many resources. Consequently, the need for automatic ontology extraction tools has been increased for the last decade, and many tools have been developed for this purpose. Yet, there is no comprehensive framework for evaluating such tools. In this paper, we proposed a set of criteria for evaluating ontology extraction tools and carried out an experiment on four popular ontology extraction tools (i.e., OntoLT, Text-To-Onto, TERMINAE, and OntoBuilder) using our proposed evaluation framework. The proposed framework can be applied as a useful benchmark when developers want to develop ontology extraction tools.
Building the Quality Management System for Compact Camera Module(CCM) Assembly Line
Yu, Song-Jin ; Kang, Boo-Sik ; Hong, Han-Kook ;
Journal of Intelligence and Information Systems , volume 14, issue 4, 2008, Pages 89~101
The most used tool for quality control is control chart in manufacturing industry. But it has limitations at current situation where most of manufacturing facilities are automated and several manufacturing processes have interdependent relationship such as CCM assembly line. To Solve problems, we propose quality management system based on data mining that are consisted of monitoring system where it monitors flows of processes at single window and feature extraction system where it predicts the yield of final product and identifies which processes have impact on the quality of final product. The quality management system uses decision tree, neural network, self-organizing map for data mining. We hope that the proposed system can help manufacturing process to produce stable quality of products and provides engineers useful information such as the predicted yield for current status, identification of causal processes for lots of abnormality.
Quay Crane Scheduling Considering the Workload of Yard Blocks in an Automated Container Terminal
Lee, Seung-Hwan ; Choe, Ri ; Park, Tae-Jin ; Kim, Kap-Hwan ; Ryu, Kwang-Ryel ;
Journal of Intelligence and Information Systems , volume 14, issue 4, 2008, Pages 103~116
This paper proposes quay crane (QC) scheduling algorithms that determine the working sequence of QCs over ship bays in a container vessel in automated container terminals. We propose two scheduling algorithms that examine the distribution of export containers in the stacking yard and determine the sequence of ship bays to balance the workload distribution among the yard blocks. One of the algorithms is a simple heuristic algorithm which dynamically selects the next ship bay based on the entropy of workloads among yard blocks whenever a QC finishes loading containers at a ship bay and the other uses genetic algorithm to search the optimal sequence of ship bays. To evaluate the fitness of each chromosome in the genetic algorithm, we have devised a method that is able to calculate an approximation of loading time of container vessels considering the workloads among yard blocks. Simulation experiments have been carried out to compare the efficiency of the proposed algorithms. The results show that our QC scheduling algorithms are efficient in reducing the turn-around time of container vessels.
Personalization of Brick-and-Mortar Retail Stores
Kim, Chan-Young ; Cho, Yoon-Ho ;
Journal of Intelligence and Information Systems , volume 14, issue 4, 2008, Pages 117~134
The outpaced growth of online channel sales over the traditional retail sales is a result from superior shopping convenience that online stores offer to their customers. One major source of online shopping convenience is a personalized store that reduces customer's shopping time. Personalization of an online store is accomplished by using various in-store shopping behavior data that the Internet and Web Technology provides. Brick-and-mortar retailers have not been able to make this type of data available for their stores until now. However, RFID technology has now opened a new possibility to personalization of traditional retail stores. In this paper, we propose BRIMPS (BRIck-and-Mortar Personalization System) as a system that brick-and-mortar retailers may use to personalize their business and become more competitive against online retailers.
A New Multi-layer Multimedia for Copyright Protection
Bae, Kyoung-Yul ;
Journal of Intelligence and Information Systems , volume 14, issue 4, 2008, Pages 135~145
Needs for copyright protection of multimedia content are getting increased because of the internet growth. In this paper, a new technology which protects the content copyright to provide different content services by user level using the digital watermarking technology was proposed. The service can be provided by two layers of a paid user and a free user. By the proposed method, the paid user can use the high quality content and the free user only can use the low quality content. The digital watermarking technology was used to hide information to be able to improve the content quality.
Search Tree Generation for Efficient Management of Business Process Repository in e-commerce Delivery Exception Handling
Choi, Doug-Won ; Shin, Jin-Gyu ;
Journal of Intelligence and Information Systems , volume 14, issue 4, 2008, Pages 147~160
BPMS(business process management system) facilitates defining new processes or updating existing processes. However, processing of exceptional or nonroutine task requires the intervention of domain experts or introduction of the situation specific resolution process. This paper assumes sufficient amount of business process exception handling cases are stored in the process repository. Since the retrieval of the best exception handling process requires a good understanding about the exceptional situation, context awareness is an important issue. To facilitate the understanding of exceptional situation and to enable the efficient selection of the best exception handling process, we adopted the 'situation variable' and 'decision variable' construct. A case example for exception handling in the e-commerce delivery process is provided to illustrate how the proposed construct works. Application of the C5.0 algorithm guarantees the construction of an optimum search tree. It also implies that an efficient search path has been identified for the context aware selection of the best exception handling process.
A System Development of Generating Ubiquitous Service Scenarios and System Analysis
Lee, Yon-Nim ; Jung, Dong-Young ; Kwon, Oh-Byung ;
Journal of Intelligence and Information Systems , volume 14, issue 4, 2008, Pages 161~178
Development and realization of ubiquitous services in physical space is now in progress to develop ubiquitous smart space (USS). As the development methodologies for USS, scenario development is performed before requirement analysis and design, or vice versa. However, even though lots of redundant elements could be found between scenarios and requirement analysis results, a sort of structural approaches to join them together has been still very rare. Hence, the aim of this paper is to propose a system which generates ubiquitous service senarios and system analysis specifications according to a novel integration methodology. To do so, scenario and requirement analysis are integrated in a structured manner.
A Hybrid Feature Selection Method using Univariate Analysis and LVF Algorithm
Lee, Jae-Sik ; Jeong, Mi-Kyoung ;
Journal of Intelligence and Information Systems , volume 14, issue 4, 2008, Pages 179~200
We develop a feature selection method that can improve both the efficiency and the effectiveness of classification technique. In this research, we employ case-based reasoning as a classification technique. Basically, this research integrates the two existing feature selection methods, i.e., the univariate analysis and the LVF algorithm. First, we sift some predictive features from the whole set of features using the univariate analysis. Then, we generate all possible subsets of features from these predictive features and measure the inconsistency rate of each subset using the LVF algorithm. Finally, the subset having the lowest inconsistency rate is selected as the best subset of features. We measure the performances of our feature selection method using the data obtained from UCI Machine Learning Repository, and compare them with those of existing methods. The number of selected features and the accuracy of our feature selection method are so satisfactory that the improvements both in efficiency and effectiveness are achieved.
An Extended Content-based Procedure to Solve a New Item Problem
Jang, Moon-Kyoung ; Kim, Hyea-Kyeong ; Kim, Jae-Kyeong ;
Journal of Intelligence and Information Systems , volume 14, issue 4, 2008, Pages 201~216
Nowadays various new items are available, but limitation of searching effort makes it difficult for customers to search new items which they want to purchase. Therefore new item providers and customers need recommendation systems which recommend right items for right customers. In this research, we focus on the new item recommendation issue, and suggest preference boundary- based procedures which extend traditional content-based algorithm. We introduce the concept of preference boundary in a feature space to recommend new items. To find the preference boundary of a target customer, we suggest heuristic algorithms to find the centroid and the radius of preference boundary. To evaluate the performance of suggested procedures, we have conducted several experiments using real mobile transaction data and analyzed their results. Some discussions about our experimental results are also given with a further research area.