• 산업공학
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• 제12권1호
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• pp.121-131
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• 1999

In this article, a simulation model of a microwave oven assembly line is developed to identify system parameters to improve the system performances such as work-in-process inventories, production lead time, mean earliness, mean tardiness and in-time completion rate. System parameters investigated include dispatching rules, lot sizing, setup time reduction, demand increase, productivity improvement, production scheduling, hardware characteristics, etc. The model has been developed using SIMAN simulation language which has been demonstrated to be a powerful tool to simulate complex manufacturing systems. We have suggested the results obtained to improve the system performances of an existing production line.

• 한국정보시스템학회지:정보시스템연구
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• 제14권3호
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• pp.31-36
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• 2005

Firms seldom survive and prosper solely through their individual efforts. Each firm's performance depends upon the activities and performance of others and hence upon the nature and quality of the direct and indirect relationships a firm develops with its counterparts. Textile companies have tried to improve their organizational competitiveness in order to survive in the digital age global market. The challenge in textile supply chain management is the development of collaboration network which accommodates diverse concerns of various participants while explicitly recognizing interdependencies and promoting effective relationship management. Major contents of the study are as follows. First, ideal collaboration network model from the supply chain of the textile industry is suggested. Second, utilizing the collaboration model, A framework for textile e-marketplaces supply chians is designed to improve customer services and delivery time, to promote information sharing, and shorten product life cycle time. The framework suggested is expected to promote corporate innovation and information sharing, generate infrastructure which provides appropriate communication and operations capabilities for the textile companies.

• 대한안전경영과학회지
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• 제13권3호
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• pp.9-18
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• 2011

The occupational safety and health expenses in construction since 1988 has contributed significantly to the reduction of injury occurrence rate. But the appropriation standards for the Occupational Safety and Health Expenses in Construction(OSHEC) have been pointed out so many issues. The purpose of this study is to present ways to improve the appropriation standards for OSHEC through the reviewing of several issues about the current system and analysis of existing statistical data. Based on the result of the research, it is proposed the new model for OSHEC.

• 대한안전경영과학회지
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• 제20권1호
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• pp.23-31
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• 2018

Industrial disasters cause lots of damages from individuals to companies and country. Especially, damages caused by constructional disasters take very large portion in the whole industry and are accompanied by huge personal physical damages. For the prevention of disasters, roles of safety manager are very important and especially, effects of disaster prevention can be changed by occupational ability of construction safety manager. To improve job abilities of safety manager, job education is very important. This research suggested a model for job education management of construction safety manager and proposed improvements as a study on improvement of curriculum for vitalization of job education of construction safety manager so as to improve occupational ability of safety manager. To achieve them, this research examined standard and operation status of current job education of safety manager and the problems and suggested a model materializing job educational contents as a measure to vitalize job education system of safety manager.

• Journal of Information Processing Systems
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• 제13권4호
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• pp.928-940
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• 2017

State-of-the-art speaker recognition systems may work better for the English language. However, if the same system is used for recognizing those who speak different languages, the systems may yield a poor performance. In this work, the decisions of a Gaussian mixture model-universal background model (GMM-UBM) and a learning vector quantization (LVQ) are combined to improve the recognition performance of a multilingual speaker identification system. The difference between these classifiers is in their modeling techniques. The former one is based on probabilistic approach and the latter one is based on the fine-tuning of neurons. Since the approaches are different, each modeling technique identifies different sets of speakers for the same database set. Therefore, the decisions of the classifiers may be used to improve the performance. In this study, multitaper mel-frequency cepstral coefficients (MFCCs) are used as the features and the monolingual and cross-lingual speaker identification studies are conducted using NIST-2003 and our own database. The experimental results show that the combined system improves the performance by nearly 10% compared with that of the individual classifier.

• 품질경영학회지
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• 제30권4호
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• pp.154-163
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• 2002

This study tries to analyze how TPM works in domestic manufacturing industry by estimating two-stage model. First stage tests the effects of five TPM-factor variables (TFV : (1) Small group activity & Autonomous maintenance, (2) Education & Training, (3) Planned maintenance, (4) improving effectiveness of each piece of facility (5) Safety & Environment) to two TPM-performance variables. Second stage tests how two TPVs affect the industry's productivity level. By combining these two stages, this study uses a model to explain how TPM, represented by TFVs, works to improve productivity via TPVs. Multivariate and univariate regression and correlation analyses were peformed. It is shown that five TFVs works in two different ways to improve the industry's productivity level. In the second stage, overall equipment effectiveness has relatively more significant effects to the productivity level.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2004년도 추계학술대회논문집
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• pp.826-829
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• 2004

Structural Dynamics Modification is very effective technique to improve structure's dynamic characteristics by adding or removing auxiliary structures, changing material property, changing shape of structure. In this research, using the surface grooving technique, shape of base structure was changed to improve its first natural frequency. Utilizing the result of frequency variation analysis, groove shape was formed gathering the many small embossing elements. For this process, Criterion Factor was introduced. To reduce its amount of calculation, the range of target area was restricted to their neighboring area and initial grooving point was selected using high-strain energy. This surface grooving technique was successfully applied to the HDD cover model.

• ETRI Journal
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• 제43권3호
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• pp.538-548
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• 2021

This paper proposes an approach to improve the performance of no-reference video quality assessment for sports videos with dynamic motion scenes using an efficient spatiotemporal model. In the proposed method, we divide the video sequences into video blocks and apply a 3D shearlet transform that can efficiently extract primary spatiotemporal features to capture dynamic natural motion scene statistics from the incoming video blocks. The concatenation of a deep residual bidirectional gated recurrent neural network and logistic regression is used to learn the spatiotemporal correlation more robustly and predict the perceptual quality score. In addition, conditional video block-wise constraints are incorporated into the objective function to improve quality estimation performance for the entire video. The experimental results show that the proposed method extracts spatiotemporal motion information more effectively and predicts the video quality with higher accuracy than the conventional no-reference video quality assessment methods.

• 한국산업융합학회 논문집
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• 제24권6_1호
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• pp.645-658
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• 2021

In this paper, we propose a new approach to intelligent control based on fuzzy logic for work efficiency improvement of smart factory by the applicaion of ariticulated robot. The intelligent control that is applied to the working process by the joint of robotic manipulator is the main focus to improve a work efficiency for implimentation of smart factory in general manufacturing process. In this study, we propose a new method of a fuzzy model and then develop a nonlinear relationship between interaction forces and manipulator position using a fuzzy model. The reliability of the proposed control method is illustrated by simulation and experiments.

• Journal of Platform Technology
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• 제11권4호
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• pp.13-18
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• 2023

3D content rendering is one of the important factors that give a sense of realism when creating content, and this process takes a lot of time. In this paper, we proposed a method to improve rendering performance by reducing the vast amount of 3D data in the web environment, and conducted a performance test using DEM and 3D model elevation data. As a result of the experiment, the digital elevation model showed faster performance than the Blender-based 3D modeling, but when the screen was moved using OrbitControl, the fps dropped momentarily. In the case of Terrain, if the range is limited to a speed that maintains 24 to 60 fps using frustum culling and LOD techniques, it is considered that a higher quality map can be produced than GeoTIFF.