• Journal of Information Technology Applications and Management
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• v.17 no.1
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• pp.141-155
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• 2010

We develop an intelligent information system in a multilayer electronic supply chain network. Using the internet for supply chain management (SCM) is a key interest for contemporary managers and researchers. It has been realized that the internet can facilitate SCM by making real time information available and enabling collaboration between trading partners. Here, we propose a multi-agent system to analyze the performance of the elements of a supply network based on the attributes of the information flow. Each layer consists of elements which are differentiated by their performance throughout the supply network. The proposed agents measure and record the performance flow of elements considering their web interactions for a dynamic route selection. A dynamic programming approach is applied to determine the optimal route for a customer in the end-user layer.

• Journal of Digital Convergence
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• v.6 no.2
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• pp.117-125
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• 2008

High-volume web sites often use clusters of servers with load balancing as a way to increase the performance, scalability, and availability of the sites. Load balancing, usually performed by load balancer in front of such clusters, is a technique to spread workload between several computers or resources, in order to get optimal resource utilization or response time. In this paper we examine the performance for several configurations of cluster-based web servers using a simulation approach. We investigate two types of buffering scheme (common and local) for web clusters and three load balancing policies (uniformly random, round robin, and least queue first), using response time as a performance measure. We also examine two basic approaches of scaling web clusters: adding more servers of same type or upgrading the capacity of the servers in the clusters.

• The Journal of Information Systems
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• v.3
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• pp.133-145
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• 1994

Performance evaluation is essential for the successful management and operation of MIS. The more MIS grows and relevant investment enlarges, the more performance evaluation grows in importance. However, MIS managers as well as top management still have difficulty in evaluating the performance of MIS. This arises from various reasons, such as the specialty of MIS, diversified influences of MIS, multidimensionality of evaluation items, and the difference between evaluation levels. In this paper, MIS is understood in a broad sense. MIS's scope is of a very wide range from each application system to system innovation view. The MIS should support the firm's objectives, and, consequently, MIS evaluation should be implemented at corporate level, not merely at application system level. The most critical problem of MIS evaluation is that a systematic frame covering various viewpoints and factors of MIS evaluation does not exist. Not a single measure covers all aspects of MIS evaluation. To help resolve this problem, this paper proposes an hierarchical approach for practical use that includes most aspects of evaluation approaches from previous studies, and, furthermore, emphasizes the evaluation of strategic aspects of MIS.

• Journal of the Korean Data and Information Science Society
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• v.12 no.1
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• pp.11-18
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• 2001

Taguchi parameter design is an approach to reducing performance variation of quality characteristic value in products and processes. Taguchi has used signal-to-noise(SN) ratio to achieve the appropriate set of operating conditions where variability around target is low in the Taguchi parameter design. Many statisticians criticize the Taguchi techniques of analysis, particularly those based on SN ratio. In this paper we propose a substantially simpler optimization procedure for parameter design without resorting to SN ratio.

• Asia pacific journal of information systems
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• v.26 no.4
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• pp.509-525
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• 2016

According to the dynamic changes in the business environment, the structural transformation of firms has had an observable trend. An increasingly large number of firms have been transforming into either project-based organizations or project expert groups. This study aims to investigate the antecedents required for the optimal level of empowerment with consideration of the project-based team environmental nature and job characteristic. Three factors are applied to measure the significant effects on psychological empowerment as the result variables. To determine the antecedents and consequent factors of psychological empowerment, employees' interviews and precedent studies are used. For the empirical study, four determinants of empowerment variables are modeled into a second-order reflective construct. This study finds that psychological empowerment significantly affects performance. Therefore, this study can serve as a guideline for development and operating methods for project success.

• Structural Engineering and Mechanics
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• v.69 no.2
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• pp.163-175
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• 2019

Structural deterioration arises due to aging, environmental effects, deficiencies during design and construction phase, and overloading. Experimental and numerical investigations are carried out in this study to evaluate the performance of control and flexural deficient reinforced concrete (RC) beams under monotonic loading. Three levels of flexural deficiency are considered in this study. After confirming load carrying capacities of control and flexural deficient beams, the flexural deficient RC beams are strengthened with carbon fibre reinforced polymer (CFRP) fabric. CFRP strengthened RC beams are tested under monotonic loading and compared with the performance of control specimen. Further, non-linear finite element analyses are also carried out to evaluate the flexural performance of control, deficient and CFRP strengthened flexural deficient RC beams. There is good correlation between results of experimental and numerical investigations. Numerical approach presented in this study can be adopted for assessing the adequacy of CFRP retrofit measure.

• Journal of Computing Science and Engineering
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• v.8 no.2
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• pp.94-106
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• 2014

Schema matching is widely used in many applications, such as data integration, ontology merging, data warehouse and dataspaces. In this paper, we propose a novel matching technique that is based on the order of attributes appearing in the schema structure of query results. The appearance order embodies the extent of the importance of an attribute for the user examining the query results. The core idea of our approach is to collect statistics about the appearance order of attributes from the query logs, to find correspondences between attributes in the schemas to be matched. As a first step, we employ a matrix to structure the statistics around the appearance order of attributes. Then, two scoring functions are considered to measure the similarity of the collected statistics. Finally, a traditional algorithm is employed to find the mapping with the highest score. Furthermore, our approach can be seen as a complementary member to the family of the existing matchers, and can also be combined with them to obtain more accurate results. We validate our approach with an experimental study, the results of which demonstrate that our approach is effective, and has good performance.

• The Transactions of the Korea Information Processing Society
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• v.4 no.9
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• pp.2299-2308
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• 1997

While most machine learning research has been primarily concerned with the development of systems that implement one type of learning strategy, we use a multistrategy approach which integrates rule induction learning and instance-based learning, and show how this marriage allows for overall better performance. In the rule induction learning phase, we derive an entropy function, based on Hellinger divergence, which can measure the amount of information each inductive rule contains, and show how well the Hellinger divergence measures the importance of each rule. We also propose some heuristics to reduce the computational complexity by analyzing the characteristics of the Hellinger measure. In the instance-based learning phase, we improve the current instance-based learning method in a number of ways. The system has been implemented and tested on a number of well-known machine learning data sets. The performance of the system has been compared with that of other classification learning technique.

• Journal of the Korean Society of Systems Engineering
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• v.15 no.2
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• pp.57-65
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• 2019

The weapon system applies the rule that the system engineering procedure must be applied at the acquisition stage. Naval ships, which are one of the important naval weapon systems, take a long period of time to acquire, and the leadership must be commissioned. Therefore, in order to acquire a naval ship, high risk management is necessary, and it is necessary to promote business success through effective application of system engineering which is a scientific management method. However, in the case of naval ships, there are no specific procedures and methods for applying the system engineering. Therefore, research on application method of system engineering which can be easily used by person in charge is necessary. This should have a simple approach to ensure effective business performance by systematically refining and simplifying existing works. QFD (Quality Function Deployment) is a way to improve product satisfaction, impress customers, reduce defective products, reduce design errors, and reduce costs. This systematically develops these mutual relationships by converting the needs of customers into quality characteristics of products and defining them as the design quality of products considering the functions, quality, and process elements of parts. The purpose of this research is to present concrete methodology at the practical level using QFD in a way to ensure traceability of requirements which is an important element of system engineering.

• Journal of KIISE:Software and Applications
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• v.36 no.4
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• pp.320-328
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• 2009

In general, there are two types of noun phrases(NP): Base Noun Phrase(BNP), and Maximal-Length Noun Phrase(MNP). MNP identification can largely reduce the complexity of full parsing, help analyze the general structure of complex sentences, and provide important clues for detecting main predicates in Chinese sentences. In this paper, we propose a 2-phase hybrid approach for MNP identification which adopts salient features such as expanded chunks and classified punctuations to improve performance. Experimental result shows a high quality performance of 89.66% in $F_1$-measure.