• Korean Management Science Review
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• v.16 no.1
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• pp.115-135
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• 1999

In many industries, competitive advantage is rapidly shifting to the management of suppliers. Especially, in the automotive industry, suppliers' manufacturing performance influences the quality of automobiles which are assembled by motor companies. This study seeks to identify dominant types of supplier relations and to Examine suppliers' performance difference according to types of supplier relations. The findings indicate that the supplier's production performance in the cooperative relationship is higher than that of the suppliers in the other relationships . And then this study examines the relationships between interfirm asset specificity and suppliers' performance. The findings indicate that the greater the interfirm human asset cospecialization and physical asset specialization, the higher the supplier's market and production performance.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.6 no.3
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• pp.3-8
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• 2007

This study is for aspheric lens that is one of a core technology in the optical industry. The feature of a aspheric lens is not to have the spheric aberration. So in optical industry, aspheric lens are essential element to miniaturization, high effectiveness and light weight. In this study we applied a lay back-tracer method using the index of refraction to design aspheric lens. We developed the automatic design program for aspheric lens by user interfacing program VisualLISP in AutoCAD. And we manufactured aspheric lens and measured it.

• Journal of the Ergonomics Society of Korea
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• v.29 no.4
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• pp.423-433
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• 2010

The presence of musculoskeletal burden tasks and work related musculoskeletal disorders (WMSDs) at Industrial workers was not well-known until 2000 in Korea. Since The Occupational Safety & Health Law was registered a business of proprietor duty in preventing work-related MSDs of workers In July of 2003 WMSDs became a big issue in Korea. A social previous interest was focused on the manufacturing industry just like auto and shipping industry in manufacturing sectors but nowadays it is spreading out to non-manufacturing fields gradually. Nevertheless, we have WMSD prevention Law and System in Korea to reduce WMSDs effectively and systematically we recognized some mistakes and problems of WMSD Law and System. In this paper we study these recent problems in Korea from about 10 years experience and proposed some proposals as discussion.

• Journal of Korea Society of Digital Industry and Information Management
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• v.8 no.2
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• pp.49-58
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• 2012

This paper is on an improved orthogonal projection method which can cancel the acoustic feedback signals in the digital hearing aids. Comparing with the NLMS algorithm which is widely used for simplicity and stability, it shows that this method has the improvement of the convergence performances, and has small computational quantities, for signals with the large auto-correlation as speech signals. This uses the improved orthogonal projection algorithm which reduces the correlation of signals. To verify the convergence characteristics of the proposed algorithm, we simulated about various input signals. The acoustic feedback canceller has a 12-bit resolution with 64-tap adaptive FIR filter. And we compared the results of simulation for this algorithm with the ones for the NLMS algorithm. By these works, it is proved that the feedback canceller adopting the proposed algorithm shows about 3.5dB more high SNR than the NLMS algorithm in the colored input signals.

• Journal of Korean Society for Quality Management
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• v.44 no.3
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• pp.661-676
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• 2016

Purpose: This study proposes to derive the quality characteristics recognized by the consumer for the smart car. The study contributes to the policy of the country automotive industry. This study confirms the impact on the customer satisfaction from the quality attribute. This study provides the information necessary for the establishment and management strategies of the Korean auto industry. Methods: This study was conducted adequate theoretical research on the subject first. Kano presents a model for the kind of smart car technology. Set the operational definitions for measuring and developing the questionnaire. Subjected to statistical analysis using the collected data, and carry out analysis Kano. It interprets the results of the study on the basis of the data obtained through the analysis. Results: Directly related to safety smart car technology improves customer satisfaction. Conclusion: The quality characteristics are required for user-centric Smart car.

• Journal of Institute of Control, Robotics and Systems
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• v.14 no.2
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• pp.118-124
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• 2008

Recently fishing industry is interested in efficiency and automation to acquire the international competitive power of national fishing industry. As an automation device of fishing boat, there are electric compasses using GPS and terrestrial magnetic sensor. Electric compass can be minimum size, high effectiveness with keeping the characteristic of a magnetic compass. This can be used a heading angle sensor to construct auto-navigation system in a small size ship. This paper develop electronic compass system that has serial output signal in NMEA 0183 and demonstrates the possibility of the electronics compass in navigation system for a small sized ship.

• Korea Trade Review
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• v.44 no.3
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• pp.271-287
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• 2019

This paper reviews and analyzes the ethical issues of multinational corporations (MNCs) in Africa. First, we find that the transparency and institutions of a host country have a negative relationship with the number of ethical violations of the MNCs. Second, this covers the effects of industry characteristics on each category of ethical issues such as the human rights and the environment. Based on the database of "Ethical Consumer", we show that the Auto, Chemical, Finance, and Telecommunication industries are more likely to violate human rights issues, and that Mining, Oil, Cosmetics, and Chemical industries are more likely to pollute the environments. Further, the country of origin does matter: the US and Asian companies are more likely to be involved with the business ethics violations than are their European counterparts.

• Journal of the Korean Society of Industry Convergence
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• v.26 no.4_2
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• pp.687-696
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• 2023

In recent construction sites, digital maps obtained through drone photogrammetry have garnered increasing attention as indispensable tools for effective construction site management. the strategic placement of Ground Control Points (GCPs) is crucial in drone photogrammetry. Nevertheless, the manual labor and time-intensive nature of GCP surveying pose significant challenges. The purpose of this study is to design the concept of automated GCPs survey technology for enhancing drone photogrammetry efficiency in construction sites. As a result, the productivity of the automated method was analyzed as 118,894.7㎡/hr. It is over 25% productivity improvement compared to traditional methods. In future studies, economic analysis of automated methods should be studied.

• Journal of the Korean Society of Industry Convergence
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• v.27 no.1
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• pp.183-193
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• 2024

Recurrent Neural Network technology that learns past patterns and predicts future patterns using technology for recognizing and classifying objects is being applied to various industries, economies, and languages. And research for practical use is making a lot of progress. However, research on the application of Recurrent Neural Networks for evaluating and predicting the safety of mechanical structures is insufficient. Accurate detection of external load applied to the outside is required to evaluate the safety of mechanical structures. Learning of Recurrent Neural Networks for this requires a large amount of load data. This study applied the Gated Recurrent Unit technique to examine the possibility of load learning and investigated the possibility of applying a stacked Auto Encoder as a way to secure load data. In addition, the usefulness of learning mechanical loads was analyzed with the Gated Recurrent Unit technique, and the basic setting of related functions and parameters was proposed to secure accuracy in the recognition and prediction of loads.

• Journal of the Korean Society of Safety
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• v.25 no.6
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• pp.47-52
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• 2010

Many industrial accidents have occurred over the years in the manufacturing and construction industries in Korea. However, as the service industry has increased continuously, the share of the accident rate in the service industry was 39.07% in 2009, while the manufacturing industry share was 33.73%. The service industry share overtook the manufacturing industry share for the first time. Therefore, this research considers prevention of industrial accidents in the service industry as well as manufacturing and construction industries. This paper describes a procedure and a method to estimate efficient accident rate forecasting and estimated zero accident time in the service industry in order to prevent industrial accidents in the transportation, storage, and telecommunication divisions. This paper proposes a model using an analytical function for the sake of very efficient accident rate forecasting. Accordingly, this paper has develops a program for accident rate forecasting, zero accident time estimating, and calculation of achievement probability through MFC (Microsoft Foundation Class) software Visual Studio 2008 in the transportation, storage, and telecommunication divisions. In results of this paper, ARIMA (Auto Regressive Integrating Moving Average) is regarded as a very efficient forecasting model for the transportation, storage, and telecommunication division. In testing this model, value minimizing the Sum of Square Errors (SSE) was calculated as 0.2532. Finally the results of this paper are sure to help establish easy accident rate forecasting and strategy or method of zero accident time in the service industry for prevention of industrial accidents.