• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.27 no.4
• /
• pp.125-132
• /
• 2004

Computer simulation is widely known as a very powerful and practical tool to understand behaviors of considered systems and evaluate design alternatives. However, to use simulation technologies, one should acquire simulation languages, statistics, etc. Also, lots of resources such as time and money are necessary to develop models and analyze statistical data. These obstacles prevent one from adopting simulation tools easily. This paper presents practical guidelines for successful application of simulation. Firstly, we propose how to acquire simulation tools to help one who is going to use simulation techniques. Next guidelines are for introducing simulation software set including simulation and support softwares. Lastly, guidelines for simulation project management are presented.

• Journal of the Korean Recycled Construction Resources Institute
• /
• v.11 no.4
• /
• pp.535-541
• /
• 2023

Friction material, an integral constituent of bearing supports, facilitates frictional interactions between two components. Polytetrafluoroethylene (PTFE), a commonly employed friction material in bearing supports, has assessed resultant friction equilibrium. Nonetheless, protracted utilization diminishes frictional performance as the lubricating agent is progressively depleted. Friction materials can affect the entire structural system. Hence, this study applied ceramic material as a friction material due to its high strength, low friction, and low deformation. The frictional behavior was investigated using a cyclic friction test, considering various friction materials as the primary design variables and examining their covariance in cyclic frictional movements. The results substantiated that the ceramic friction material yielded a low variance and friction coefficients in cyclic frictional movements.

• The Journal of Korean Association of Computer Education
• /
• v.6 no.1
• /
• pp.55-63
• /
• 2003

Elementary schools and middle schools currently manage their student data by using the education administration system. One of its sub-systems called 'the academic affairs support system' is especially dedicated to handle school and academic affairs data. By allowing simple data search and statistical data calculations, it helps teachers easily integrate and manage education information resources. However, it is not easy for teachers to analyze the correlations among student data. In this paper, we showed by examples that a lot of meaningful information can be extracted by analyzing the relations among student data. Based on the results, we designed and implemented SIMS as a tool to provide teachers with such services. SIMS makes use of Association Rules for data correlation analyses. SIMS can be used in connection with the academic affairs support system, and is much easier to use than previously developed commercial products for similar services.

• Journal of Korean Physical Therapy Science
• /
• v.29 no.1
• /
• pp.30-40
• /
• 2022

Background: This study analyzed the reliability of smart guides for gait analysis in patients with stroke. Design: Cross-sectional study. Methods: The participants of the study were 30 patients with stroke who could walk more than 10 m and had an MMSE-K test score of ≥24. Prior to the experiment, the subjects or their guardians entered their demographic characteristics including gender, age, height, weight into the prepared computer. The experiment was conducted in a quiet, comfortable, and independent location, and the patient was reminded of the equipment description, precautions, and safety rules for walking. A smart insole was inserted into the shoes of the patients and the shoes were put on before the patients walked three times on the 5-m gait analysis system mat installed in the laboratory. Results: The reliability of the equipment was compared with that of the gait analysis system, and the results of this study are as follows: among the gait analysis items, velocity had an ICC=0.982, the cadence had an ICC=0.905, the swing phase on the side of the gait cycle had an ICC=0.893, the swing phase on the side of the gait had an ICC=0.839, that on the non-affected side had an ICC=0.939, single support on the affected side had an ICC=0.812, and support on the non-affected side had an ICC=0.767. Conclusion: The results of this study indicate no statistical difference between the smart insole and the gait analysis system. Therefore, it is believed that real-time gait analysis through smart insole measurement could help patients in rehabilitation.

• Proceedings of the Korea Inteligent Information System Society Conference
• /
• 1999.03a
• /
• pp.175-186
• /
• 1999

Detecting the features of significant patterns from their own historical data is so much crucial to good performance specially in time-series forecasting. Recently, a new data filtering method (or multi-scale decomposition) such as wavelet analysis is considered more useful for handling the time-series that contain strong quasi-cyclical components than other methods. The reason is that wavelet analysis theoretically makes much better local information according to different time intervals from the filtered data. Wavelets can process information effectively at different scales. This implies inherent support for multiresolution analysis, which correlates with time series that exhibit self-similar behavior across different time scales. The specific local properties of wavelets can for example be particularly useful to describe signals with sharp spiky, discontinuous or fractal structure in financial markets based on chaos theory and also allows the removal of noise-dependent high frequencies, while conserving the signal bearing high frequency terms of the signal. To data, the existing studies related to wavelet analysis are increasingly being applied to many different fields. In this study, we focus on several wavelet thresholding criteria or techniques to support multi-signal decomposition methods for financial time series forecasting and apply to forecast Korean Won / U.S. Dollar currency market as a case study. One of the most important problems that has to be solved with the application of the filtering is the correct choice of the filter types and the filter parameters. If the threshold is too small or too large then the wavelet shrinkage estimator will tend to overfit or underfit the data. It is often selected arbitrarily or by adopting a certain theoretical or statistical criteria. Recently, new and versatile techniques have been introduced related to that problem. Our study is to analyze thresholding or filtering methods based on wavelet analysis that use multi-signal decomposition algorithms within the neural network architectures specially in complex financial markets. Secondly, through the comparison with different filtering techniques results we introduce the present different filtering criteria of wavelet analysis to support the neural network learning optimization and analyze the critical issues related to the optimal filter design problems in wavelet analysis. That is, those issues include finding the optimal filter parameter to extract significant input features for the forecasting model. Finally, from existing theory or experimental viewpoint concerning the criteria of wavelets thresholding parameters we propose the design of the optimal wavelet for representing a given signal useful in forecasting models, specially a well known neural network models.

• The KIPS Transactions:PartD
• /
• v.13D no.1 s.104
• /
• pp.139-146
• /
• 2006

This paper describes the design and implementation details of a distributed transactional workflow monitoring system. There have been prevalent research and development trends in the workflow literature - workflow systems tend to be completely distributed architectures to support very large-scale workflow applications on object-oriented and internet-based infrastructures. That is, the active (object), distributed (architecture), system-oriented (transaction), and large-scale (application) workflow systems are the key targets in terms of the research and development aspects. While the passive, centralized, human-oriented, and small/medium scale workflow systems are the typical instances of the traditional workflow systems. Unlike in the traditional (the client-server architecture) workflow systems, the workflow monitoring features should not be easily supported in the recent (the fully distributed architecture) workflow systems. At the same time, they need a set of additional monitoring features, such as gathering and displaying statistical (or overload status) information of the workflow architectural components dispersed on the internet. We, in this paper, introduce the additional workflow monitoring features that are necessarily required for the recent workflow systems, and show how to embed those features into a web-based distributed workflow system.

• Health Policy and Management
• /
• v.31 no.3
• /
• pp.280-291
• /
• 2021

Background: Based on the fact that the Korea Medical Dispute Mediation and Arbitration Agency is a public institution established by social demands for medical disputes, this study reviews the publicness of public organization and discusses its policy implications. Methods: Through Moore's strategic triangle, which consists of legitimacy and support, public value and operational capacity, the process of creating public value is examined. For the analysis, case studies were conducted using related literature data from 2012, when the agency was established, to the present. Results: As a result of the analysis, first, the related law examined in the operational capability has been revised dozens of times, but the revised law has its own contradictions and limitations. The human resource system is also being improved, but there is a problem with the fairness and reliability of the arbitration process, especially due to the limitations of the appraiser system. Second, in terms of legitimacy and support, a regional gap occurred despite efforts to improve accessibility through the expansion of the organization. And the arbitration agency failed to reconcile conflicts caused by stakeholders' perception of each other as a trade-off relationship. Third, the public value result shows that, despite many explicit (statistical) achievements, citizens' use of the past dispute resolution means (litigation) has not decreased. Likewise, the perception of value makers (citizens) is important for creating public value as an invisible result, but it has not yet been formally investigated, so the performance can not be recognized. Conclusion: While the organization's efforts for continuous change and improvement are encouraging, it is not perceived as a better means of resolving disputes and improving quality of services. Therefore, it is necessary to reconsider the institutional design centered on value creators.

• Journal of Agricultural Extension & Community Development
• /
• v.18 no.3
• /
• pp.351-384
• /
• 2011

The purpose of this study is to look at the case of the German compensation system for farmers' accidents and to build a basic scheme in our country's compensation system for farmers' accidents. When you view examples of Germany, the social insurance scheme for farmers accidents in korea should be design as an independent institution from the existing industrial accident insurance, and it comes to relationships with other social insurance system, preferably with complementary personalities. A general rule of the compensation system applies to all farmers in principle but the coverage limits part-time farmers. Financial burden consists of the mix of insurance premium and state aid. The type and level of benefits is similar to the current industrial accident insurance, which give priority to places on economic security for keeping farmworks, such as cost for using temporary farmers, rather than income loss. In terms of financial system, pay-as-you-go system would be better because of immediate payment with the introduction of the compensation system. The compensation system might be managed and administrated by the existing nationwide organization. Of course, for operating of system review and further research on the technical details such as premium issues and funding problems of government support, the exact classification of the target coverage, premiums based on estimated income for the farmers' estimation, the exact statistical data on the accumulation of agricultural disaster is needed.

• Journal of Korea Technology Innovation Society
• /
• v.10 no.4
• /
• pp.755-788
• /
• 2007

This study investigates the effects of individual and group level factors on the use of GSS (Group Support System) and task performance from GSS use. GSS facilitates the group work, so that GSS adoption is not necessarily influenced only by individual perceptions on information systems. Adaptive Structuration Theory (AST) in our study to explain the adoption and success from GSS use. AST contends that the success of IS is not necessarily the technical fit between tasks and technology, instead the political outcome among user socializations. We have the following two research inquires: Are the IS use and performance maximized when information technologies are provided properly?; and, Does TTF always influence positively on IS use (or performance)? To research these issues, we investigate the influence of TTF (Task-Technology Fit) on use and performance of GSS, which is introduced to foster collaboration among organizational members. Drawing insights from the AST, we examine if COA (Consensus on Appropriation) among group members and FOA (Faithfulness of Appropriation) between those who use technology and who design it show any moderating effect. A questionnaire survey was conducted on firms using the GSS for one month from June 2 to June 27 2005 and a sample of 303 responses was used for a statistical analysis. The result demonstrates that TTF exerts a positive influence on use and performance of GSS. We find that the stronger the COA, the greater the effect of W on use of GSS and performance. FOA likewise has a positive effect on both use of GSS and performance. The TTF model has been widely applied to studies on individual performance of information system, whereas the AST theory specifically explains members' adaptation process to information system. By integrating the AST theory with the TTF model, the study contributes to heightening our understanding on if and how individual performance varies with the use of GSS.

• The KIPS Transactions:PartB
• /
• v.9B no.2
• /
• pp.147-154
• /
• 2002

In bulding Intelligent Agent Societies (IAS), it is very important to design and implement coordination in accordance with the known requirement and anticipated working conditions. Coordination consists of a set of mechanisms necessary for the effective operation of IAS. Currently, there is little theoretical support that could help in this research is to generate an empirically-based solving systems in which all agent share an identical goal structure and fully cooperate. And we developed a simulation model called "P-System" which produces basic data to be used for statistical analysis to generate a theory of coordination. Coordination among agent in the P-System is dependent on 23 control variables calld TEs(tweakable emtities.)And the level of coordination is represennted by an independent variabe called QMC (Quality Measure Coordination) expressed in numerical terms according tn the definiion of this study. Also, we have studied how to select unbiased subset from the huge total experimental space of the P-System and how to decide the scale of the subset.