• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.11 no.5
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• pp.57-66
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• 2016

The study aims to examine the impact of Start-Up Business Incubator System on Performance of the Start-up Graduated from the Business Incubator. This has analyzed 813 startups which had supported by Seoul Metropolitan City in particular from 2009 to 2010. Empirical analysis has choosed business room for free, startup grant for operation, education & coaching support, consulting support by practitioner, promotion & new market opening support and collaboration support among startups in the business incubator as independent variables and also implemented startup success satisfaction degree as a depentent variable. The results shows that the degree of satisfaction on start-up activity support fund for entrepreneur and the degree of satisfaction on collaboration support among firms in the business incubator have statistical significant impact on start-up success satisfaction degree. The study has an implication that it provides a basic data on policy support strategies by central and local autonomous governments that facilitate entrepreneurs to achieve start-up business goals by understanding the factors that affect the business performance of entrepreneurs. In addition, the study offers new directions for entrepreneurs in a way that promotes the start-up performance by business room for free, education & coaching support, consulting support by practitioner, promotion & new market opening support which were investigated as statistical insignificant constructs, so that the author expects new studies about more effective business incubator system to enhance the performanc of start-up in business incubator.

• Korean Journal of Cognitive Science
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• v.9 no.1
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• pp.31-39
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• 1998

This paper describes an electronic performance support system called HELPS(Handler Electronic Learning Performence Support) for semiconductor testing e equipment. The purpose of this system is to improve productivity of operators by providing just-in-time, on-the-job, mutimedia-based system information for operational support, training, and knowledge-based trouble shooting and repair. HELPS is composed of a operation module and a trouble shooting module. The operation module uses multimedia and hypermedia to provide the detailed and easily accessible information about equipment to users. Multimedia incorporate multiple. media forms including still and video images. animations 'texts' graphics. and audio. Hypermedia a are provided through a hierarchical information structure which offers not only specific information which is needed to perform a task to experienced operators. but detailed system guidance and information to novice operators. The trouble shooting module is composed of an integrated mutimedia-supported expert system which assists operators in trouble shooting and equipment repair. After diagnosis through the use of the expert system. multimedia advice is presented to the user in either still images with text or motion sequences with sound HELPS is evaluated in term of training time and trouble shooting and repair time. It improved productivity by saving more than 30% of the total time used without the system. This s system has the potential to improve productivity when it is used with ICAIOntellignet Computer Aided Instruction) and virtual reality.

• Journal of the Society of Naval Architects of Korea
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• v.48 no.4
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• pp.325-329
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• 2011

Floating, production, storage and offloading (FPSO) is a production facility that refines and saves the drilled crude oil from a drilling facility in the ocean. The flare system in the FPSO is a major part of the pressure relieving system for hydrocarbon processing plants. The flare system consists of a number of pipes and complicated connection systems. Decision of pipe support types is important since the load on the support and the stress in the pipe are influenced by the pipe support type. In this study, we optimally determined the pipe support types that minimized the support cost while satisfying the design constraints on maximum support load, maximum nozzle load and maximum pipe stress ratio. Performance indices included in the design constraints for a specified design were evaluated by pipe structural analysis using CAESAR II. Since pipe support types were all discrete design variables, an evolutionary algorithm (EA) was used as an optimizer. We successfully obtained the optimal solution that reduced the support cost by 27.2% compared to the initial support cost while all the design requirements were satisfied.

• International Journal of Computer Science & Network Security
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• v.21 no.1
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• pp.214-219
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• 2021

As the number of elderly increased rapidly every year, many elderly still choose to stay independent despite of difficulties and challenges faced in their daily routine. Elderly has desperate needs for support for their living. Internet of Things helps to support and improve elderly's life in many ways to meet the needs and requirements. Home Automation Control (EHAC) is a research based system that support elderly with controlled automation solution that control and operates various home electrical appliances based on the measurement of heart pulse rate and environment temperature. This paper works on EHAC system to evaluate the performance of the system in elderly's daily routine. This paper presented experiments conducted with approach of IoT testing and discussion on analysis of the results.

• Journal of the Korean Society of Safety
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• v.15 no.4
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• pp.157-162
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• 2000

A performance measurement system for safety management was suggested with which performance of a company's safety activities can be expressed rationally, and analysis of impact with performance improvement. A key of the measurement system is performance index of the safety management activities, which consists of 3 perspectives; an external perspective, an internal perspective, and a innovation & learning perspective. Every perspective consists of 18 performance indices and each indices consist of activity unit a such planning, support, implementation, evaluation and review.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1998.10a
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• pp.28-31
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• 1998

This paper describes the differences of the information system's success factors to improve the end-user's performance according to the job characteristics. A modified model of DeLone and McLean's IS success model is proposed with the two added variables of the top management concern and the IS department support. The model is validated using data collected from a field study of 3872 users on 3 Korean companies. ANOVA, correlation analysis, and stepwise regression are used to test research hypotheses. The results of the study indicate the following implications. First the top management concern and the IS department support have the significant relation with the system usage and the user satisfaction. Second, the system quality has an influence on the user satisfaction more than on the system usage. And the information quality has an influence on the system usage more than on the user satisfaction. Third, the system usage has more relations to the user's performance in the logistics function and R&D function. The user satisfaction has more relations to the user's performance in the sales and the A/S function. Therefore information system strategy to increase the user's performance must be differentiated according to job characteristics.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2018.05a
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• pp.109-110
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• 2018

Preloading Strut applied during installation of the wall jack, but additionally serves to minimize the displacement of soil pressure acting upon dissolution due to the difficulty. In this study, we developed an index of support for the release of stress to facilitate the dismantling of the strut uninstall. The refractive support the axial force acting on the strut are supportable, is refracted at minimum load, disassembly should be easy. In order to find the optimal shape and structural stability of the refractive support We have performed the numerical analysis and performance test to determine the final model. We carried out model tests and UTM test in order to understand the refractive performance and durability of the refractive support for optimal model. Results of the test UTM is refracted all shot 5 times within a target hit number, it was found that there is no problem of the refractive performance. Further, the results of model experiments, it was found that to ensure sufficient durability more than the performance target value of the pin joint support structure.

• Journal of Information Technology Services
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• v.10 no.2
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• pp.235-245
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• 2011

Early criticality prediction models that determine whether a design entity is fault-prone or not are becoming more and more important as software development projects are getting larger. Effective predictions can reduce the system development cost and improve software quality by identifying trouble-spots at early phases and proper allocation of effort and resources. Many prediction models have been proposed using statistical and machine learning methods. This paper builds a prediction model using Support Vector Machine(SVM) which is one of the most popular modern classification methods and compares its prediction performance with a well-known prediction model, BackPropagation neural network Model(BPM). SVM is known to generalize well even in high dimensional spaces under small training data conditions. In prediction performance evaluation experiments, dimensionality reduction techniques for data set are not used because the dimension of input data is too small. Experimental results show that the prediction performance of SVM model is slightly better than that of BPM and polynomial kernel function achieves better performance than other SVM kernel functions.

• Journal of Distribution Science
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• v.13 no.10
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• pp.5-13
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• 2015

Purpose - This study aims to suggest appropriate policies and performance indicators for financial aid recipients. It analyzes the existing regular government policy funds support project, especially its propriety and reasonability. Research design, data, and methodology - When financial aid is effective, it should be able to predict small enterprise business results. Additionally, there should be an evaluation, checking before and after performance rates so that the rate of achievement and outcome can be measured. This study's contribution for small enterprises is in researching the best way to improve this support system. Results - The Small Enterprise and Market Service (SEMAS), currently designated as a support organization for implementing the government financial aid project, has assessment indicators. However, these focus mainly on quantitative indicators and survey results. Conclusions - In the future, there is some need to draw up measures, setting the right direction for developing policies for the small enterprise fund loans and improving the management of the plans. Eventually, this effort will dispel concerns about the present support policy, which is considered to be weakening small enterprises.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2000.11a
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• pp.19-22
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• 2000

In this paper, we present forecasting ozone concentration with decision support system. Forecasting ozone concentration with decision support system is acquired to information from human knowledge and experiment data. Fuzzy clustering method uses the acquisition and dynamic polynomial neural network gives us a good performance for ozone prediction with ability of superior data approximation and self-organization.