• Journal of the Korean Society of Industry Convergence
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• v.7 no.1
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• pp.41-46
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• 2004

This paper proposes a separation of mixed signals by using the robust independent component analysis(RICA) based on neural networks. RICA is based on the temporal correlations and the second order statistics of signal. This method e is applied for improving the analysis rate and speed in which the sources have very small or zero kurtosis. The proposed method has been applied for separating the 10 mixed finger prints of $256{\times}256$-pixel and the 4 mixed images of $512{\times}512$-pixel, respectively. The simulation results show that RICA has the separating rate and speed better than those using the conventional FP algorithm based on Newton method.

• Journal of Korea Society of Digital Industry and Information Management
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• v.17 no.4
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• pp.85-94
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• 2021

The LPR system's trigger sensor makes problem occasionally due to the heave weight of vehicle or the obsolescence equipment. If we replace the hardware sensor to the deep-learning based software sensor in order to generate the trigger signal, LPR system maintenance would be a lot easier. In this paper we proposed the deep-learning sliding window based object detection and tracking algorithm for the LPR system's trigger signal generation. The gate passing vehicle's license plate recognition results are combined into the normal tracking algorithm to catch the position of the vehicle on the trigger line. The experimental results show that the deep learning sliding window based trigger signal generating performance was 100% for the gate passing vehicles including the 5.5% trigger signal position errors due to the minimum bounding box location errors in the vehicle detection process.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.1
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• pp.130-133
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• 2020

Smart pig farm which is based on IoT has been widely adopted by many pig farmers. In order to achieve optimal control of smart pig farm, the relation between environmental conditions and performance metric should be characterized. In this study, the relation between multiple environmental conditions including temperature, humidity and various performance metrics, which are daily gain, feed intake, and MSY, is analyzed based on data obtained from 55 real pig farm. Especially, based on preprocessing of data, various regression based machine learning algorithms are considered. Through performance evaluation, we show that the performance can be predicted with high precision, which can improve the efficiency of management.

• Journal of Korean Institute of Industrial Engineers
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• v.43 no.3
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• pp.154-163
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• 2017

Research collaboration is regarded as core source to lead various innovations in all countries. This paper compares and analyzes the performance of Industry-University-Government Research Institutes (GRI) collaboration based on the four types of research collaborations; GRI-GRI, Industry-GRI, University-GRI and Industry-University-GRI. So this paper will show which collaboration type has the best work on each R&D step. We use four R&D steps; research, development, commercialization and overall. We also evaluate the performance of research collaboration of GRIs based on the collaboration types. In order to evaluate the performance of research collaboration, Data Envelopment Analysis (DEA) is employed for measuring the efficiency of GRIs in this paper. DEA is a non-parametric approach to measuring the relative efficiency of decision-making units (DMUs) with multiple inputs and outputs. The empirical results represent that the performance of collaboration with industry is generally superior to other collaboration types. These findings from this paper are expected to provide basic information for national collaboration strategy making.

• Journal of the Korea Fashion and Costume Design Association
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• v.22 no.3
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• pp.75-87
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• 2020

As the online industry is vitalized by the fashion market, there is a tendency to believe that the recruitment of manpower in the online distribution field is increasing. Thus, this study attempts to analyze the job types and job functions for recruitment in the fashion industry based on job search sites and based on this, suggest an educational direction within the department of fashion design. First, when examining the size (number of employees) of fashion companies that posted jobs, the fashion companies with 30 or fewer employees accounted for 60.7% of the postings, and the location of the fashion companies was most commonly in Seoul with 144 companies located in Gangnam (Seocho-gu, Gangnam-gu). As for the recruitment conditions of the fashion companies, "academic level-irrelevant" was the highest with 42.6%, and in terms of gender and age, 59.3% of the cases were marked as "gender and/or age-irrelevant". Examining the types of jobs for recruitment in the fashion industry, fashion designers were the most popular at 52.6%, followed by on and off-line companies' MD, VMD, and stylist in that order. In the results of examining job function change, it is thought that the fashion design department should have basic educationon in that respect.

• Journal of Information Technology Applications and Management
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• v.21 no.1
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• pp.85-105
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• 2014

Exhibition industry is important business domains to many countries. Not only lots of countries designated the exhibition industry as tools to stimulate national economics, but also many companies offer millions of service or products to customers. Recommender systems can help visitors navigate through large information spaces of various booths. However, no study before has proposed a methodology for identifying and acquiring prospective visitors although it is important to acquire them. Accordingly, we propose a methodology for identifying, acquiring prospective visitors, and recommending the adequate booth information to their preferences in the exhibition industry. We assume that a visitor will be interested in an exhibition within same class of exhibition taxonomy as exhibition which the visitor already saw. Moreover, we use user-based collaborative filtering in order to recommend personalized booths before exhibition. A prototype recommender system is implemented to evaluate the proposed methodology. Our experiments show that the proposed methodology is better than the item-based CF and have an effect on the choice of exhibition or exhibit booth through automation of word-of-mouth communication.

• Journal of the Korea Society of Computer and Information
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• v.22 no.1
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• pp.41-48
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• 2017

In this study, we proposed GIS-based Regional Crime Prevention Index (RCPI) development method designed to support local governments with systematic crime prevention activities. The public interest in safe urban environment is increasing rapidly. The government is putting efforts into crime prevention activities to eliminate the criminal opportunities in advance. CPTED is method to prevent crimes in the city by improving environmental factors that cause crime. It is used by local governments to promote the crime prevention activities centering on the expansion of CCTVs and street lamps and the improvement of street environment. However, most policies were terminated as one-off programs and it is necessary to monitor the effect of such policies on a continuous basis. In order to alleviate issues, this study proposed RCPI as part of crime safety assessment in urban environments. The estimation of RCPI in City A of Gyeonggi-do showed relative differences in 31 districts (dong), indicating that it is also possible to evaluate the crime safety in the local community on the level of the administrative dong, the smallest administrative district in the urban environments. As a crime map, the RCPI will be used effectively as he reference to support the decision making process for local government in the future.

• East Asian Journal of Business Economics (EAJBE)
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• v.5 no.4
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• pp.67-74
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• 2017

Purpose - The main purpose of this study is to contribute to the elevation of producers' production at various levels by proposing the creation of producer improvement indexes that can be used for the successful 6th industrialization of Korean agribusiness based on the Kano model and has synergistic effects on the development of the 6th industry through scientific researches. Research design, data, methodology - To this end, this study derived better and worse index from the same estimation of Timko's customer satisfaction index as in the evaluation charts used in previous researches and theoretical studies on the Kano model. Results - In this paper, we suggested that the formula for producing PSCI Index be applied to yield the producer improvement index in the 6th industry, in order to draw SIPPI. Conclusions - If this suggestion is realized, then a lot of researchers will be supported to more systematically study producers, and it is expected to contribute to the development of the 1th industry, a basis for the successful 6th industry. Moreover, the central government and municipalities are expected to provide a variety of clues for applying various policies for successful agribusiness.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.440-444
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• 2015

As domestic construction investment has been gradually reduced, expanding overseas construction is one of the most important issues for Korean construction companies. Among these issues, strategies for overseas CM services have widely been discussed, because the CM services have features of high growth potential and value-added area when compared with other construction sectors. Therefore, recent efforts focus on further development in advanced CM capabilities and expansion to overseas market. However, there has been lack of quantitative research to investigate current status and future direction of CM industry. In this sense, this research investigated what CM has achieved for the past 17years (between 1997 and 2013) and what CM should accomplish for future strategies. The purpose of this research is to statistically analyze total of 2,983 CM service contracts over the past 17 years published in KISCON (Knowledge Information System of Construction Industry) in order to examine current status of CM industry in terms of market type, contract size, commodity type, and owner's type. Based on this research, it is expected to suggest for future strategies and development directions from the CM industry perspective that could provide quantitative analyses, improve current CM statistics systems and strengthen the competitiveness in international CM market.

• Journal of Technology Innovation
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• v.28 no.4
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• pp.165-175
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• 2020

In this viewpoint paper, we overlook the potential of the data industry and the strategies needed in order to survive in this new socio-economic order brought by COVID-19. The social distancing culture is leading to the expansion and centralization of data. The government established the development plan of the data industry ecosystem and the capital flow is following this stream, so this is an opportunity for those in the data business. To survive and grow in the data industry ecosystem, we need to identify quality characteristics that have a comparative advantage over competitors based on high data quality and need to determine the target business segmentation to avoid wasting resources and make efficient investments.