• Journal of the Korean Regional Science Association
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• v.39 no.2
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• pp.63-76
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• 2023

Recently, due to the location of residential complexes in commercial areas of large cities, the urban function is shifting from commercial to residential.In order to improve the use volume system in the commercial area of Daejeon Metropolitan City, the system of special and metropolitan cities was compared and analyzed, and problems were derived by analyzing 8 cases. First, use classification of mixed-residential buildings, Second, unbalance of urban planning for functional loss of commercial area, Thrid, damage on urban environment due to difference of development density. Accordingly, improvement measures include First, securing the ratio of residential function and mixed use at least 10%, Second, securing urban competitiveness by inducing facilities that combine various uses and functions. The overall floor area ratio of housing is applied, Third, the development density is presented through the establishment of the district unit plan and consultation.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.2
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• pp.165-170
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• 2021

Machine learning has recently been applied to research in most areas. This is because the results of machine learning are not determined, but the learning of input data creates the objective function, which enables the determination of new data. In addition, the increase in accumulated data affects the accuracy of machine learning results. The data collected here is an important factor in machine learning. The proposed system is a convergence system of cloud systems and local fog systems for service delivery. Thus, the cloud system provides machine learning and infrastructure for services, while the fog system is located in the middle of the cloud and the user to collect and refine data. The data for this application shall be based on the Sensitive data generated by smart devices. The machine learning technique applied to this system uses SVM algorithm for classification and RNN algorithm for status recognition.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.30 no.6
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• pp.507-517
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• 2019

Multi-function radar(MFR) is a system that uses various functions such as detection, tracking, and classification. To operate the functions in real-time, the detection stage in MFR usually uses radar signals for short measurement time. We can utilize several conventional detectors in the MFR system to detect low radar cross section maritime targets in the sea-clutter; however, the detectors, which have been developed to be effective for radar signals measured for a longer time, may be inappropriate for MFR. In this study, we proposed a modelling technique of sea-clutter short measurement time. We combined the modeled sea-clutter signal with the maritime-target signal, which was obtained by the numerical analysis method. Using this combined model, we exploited four independent detectors and analyzed the detection performances.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.67 no.1
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• pp.114-123
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• 2018

This paper concerns a design and learning method of softmax function neural networks based on K-means clustering. The partial discharge data Information is preliminarily processed through simulation using an Epoxy Mica Coupling sensor and an internal Phase Resolved Partial Discharge Analysis algorithm. The obtained information is processed according to the characteristics of the pattern using a Motor Insulation Monitoring System program. At this time, the processed data are total 4 types that void discharge, corona discharge, surface discharge and slot discharge. The partial discharge data with high dimensional input variables are secondarily processed by principal component analysis method and reduced with keeping the characteristics of pattern as low dimensional input variables. And therefore, the pattern classifier processing speed exhibits improved effects. In addition, in the process of extracting the partial discharge data through the MIMS program, the magnitude of amplitude is divided into the maximum value and the average value, and two pattern characteristics are set and compared and analyzed. In the first half of the proposed partial discharge pattern classifier, the input and hidden layers are classified by using the K-means clustering method and the output of the hidden layer is obtained. In the latter part, the cross entropy error function is used for parameter learning between the hidden layer and the output layer. The final output layer is output as a normalized probability value between 0 and 1 using the softmax function. The advantage of using the softmax function is that it allows access and application of multiple class problems and stochastic interpretation. First of all, there is an advantage that one output value affects the remaining output value and its accompanying learning is accelerated. Also, to solve the overfitting problem, L2-normalization is applied. To prove the superiority of the proposed pattern classifier, we compare and analyze the classification rate with conventional radial basis function neural networks.

• The Journal of Information Systems
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• v.32 no.1
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• pp.109-146
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• 2023

Purpose With Intelligent public service (IPS), it is possible to automate the quality of civil affairs, provide customized services for citizens, and provide timely public services. However, empirical studies on factors for the successful use of IPS are still insufficient. Hence, the purpose of this study is to empirically analyze the factors that affect the success of IPS with classification function. ISSM (Information System Success Model) is considered as the underlying research model, and how the algorithm quality, data quality, and environmental quality of the discrimination system affect the relationship between utilization intentions is analyzed. Design/methodology/approach In this study, a survey was conducted targeting users using IPS. After giving them a preliminary explanation of the intelligent public service centered on the discrimination system, they briefly experienced two types of IPS currently being used in the public sector. Structural model analysis was conducted using Smart-PLS 4.0 with a total of 415 valid samples. Findings First, it was confirmed that algorithm quality and data quality had a significant positive (+) effect on information quality and system quality. Second, it was confirmed that information quality, system quality, and environmental quality had a positive (+) effect on the use of IPS. Thirdly, it was confirmed that the use of IPS had a positive (+) effect on the net profit for the use of IPS. In addition, the moderating effect of the degree of knowledge on AI, the perceived accuracy of discriminative experience and IPS, and the user was analyzed. The results suggest that ISSM and TOE framework can expand the understanding of the success of IPS.

• The Journal of Society for e-Business Studies
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• v.14 no.4
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• pp.1-17
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• 2009

E-Catalogs which describe products or services are one of the most important data for the electronic commerce. E-Catalogs are created, updated, and removed in order to keep up-to-date information in e-Catalog database. However, when the number of catalogs increases, information integrity is violated by the several reasons like catalog duplication and abnormal classification. Catalog search, duplication checking, and automatic classification are important functions to utilize e-Catalogs and keep the integrity of e-Catalog database. To implement these functions, probabilistic models that use statistics of index words extracted from e-Catalogs had been suggested and the feasibility of the methods had been shown in several papers. However, even though these functions are used together in the e-Catalog management system, there has not been enough consideration about how to share common data used for each function and how to effectively manage statistics of index words. In this paper, we suggest a method to implement these three functions by using simple SQL supported by relational database management system. In addition, we use materialized views to reduce the load for implementing an application that manages statistics of index words. This brings the efficiency of managing statistics of index words by putting database management systems optimize statistics updating. We showed that our method is feasible to implement three functions and effective to manage statistics of index words with empirical evaluation.

• The Journal of the Korea Contents Association
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• v.18 no.12
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• pp.646-659
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• 2018

This study proposed "Reservoir Park", which added disaster prevention function to urban green spaces such as city parks through domestic and overseas related laws review, case studies, field trips. This is a combination of urban parks and reservoirs as urban planning facilities, which can provide both space for daily use by urban residents and disaster mitigation functions in case of emergency. In order to prevent flooding in urban areas due to climate change, facilities should be installed in the form of parks, etc., as the reservoir facility should be systematically reviewed together with urban planning facilities. However it was found that the reservoir park was not clear as a theme park. In this study, the types of storage facilities in urban areas were reclassified into five types of storage parks reflecting the characteristics of urban green spaces through domestic case studies and field trips. The classification of the reservoir parks is classified into 5 kinds such as ecological type, vegetation cover type, exercise facility type, underground burial type and hybrid type based on groundwater level, human use, and reservoir size. This classification system can be used to determine the types of facilities to be built after designating the location of future storage facilities.

• Journal of Practical Engineering Education
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• v.11 no.2
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• pp.239-249
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• 2019

Currently financial support for vocational skills development training is provided based on the NCS standard unit price set according to the NCS occupational classification. Such a standard unit price system has the advantage of reducing administrative burdens required in managing the training levy-grant system. In this paper, it is pointed out that current unit price system may distort the social integration function of vocational training policy as it is based on the tuition fees of training course. As a basis for finding a more appropriate financial support system, we analyzed what factors are influencing the training course fees set by training institutions. As a result, it was confirmed that the monopolistic nature of the training courses or the high level of willingness of pay of training participants influenced the training course fees. Therefore, the necessity of removing the influence of such factors from unit price system was suggested so as that the training policy contributes to the social integration. Furthermore, it is required to establish new support criteria centered on the government's policy judgment if the training costs of all training courses cannot be exactly estimated.

• Korean Journal of Construction Engineering and Management
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• v.12 no.5
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• pp.3-11
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• 2011

The Project Management Information System (PMIS), the core of construction information, performs the function of handling large volumes of data and information in the actual layout and construction, and supports the manager in making a prompt decision. The purpose of this study is to develop a construction PMIS integrated form system prototype for process and quality control forms, submitted between project groups, as the method of data sharing and communication among an owner, supervisor, and site manager. This study of the integrated form classification system was carried out with limited case studies and interviews of professionals due to lack of data from the previous thesis and related research material From the results of this study, an Excel-based integrated form system was established for a complete site.

• Journal of the Korean Institute of Landscape Architecture
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• v.31 no.4
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• pp.1-12
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• 2003

The urban park provides a safe rest and leisure area, and offers the beauty of nature to counter the drearyness of urban space. It can provide benefits such as the reduction of environmental pollution, the regulation of the local climate, and it can also provide a safe area during times of disaster. However, there was no interest in urban park development and control in Korea during the economic boom of the mid 1960s. Furthermore, during the industrialization process, the population grew significantly in the cities and the cities' scales were noticeably extended; as a result of this, the living environment and the natural environment in the cities worsened. With rapid urbanization and industrialization, urban green area diminished, and it became necessary to organize the urban park system to improve quality of life. 45% of south korea's population lives in 6 cities, which is only 4% of Korea's land size. The Urban park system has to be considered in the urban planning process. Paris' urban green system can be a role-model for Korea's urban green development plan to function organically. Urban public park concepts have been used in Paris's urban planning since 1850. There were hardly any parks, gardens and squares for the public before the middle of the 19th century. For improving life-styles for the poor, Napoleon III strongly supported the development of green space systems in Paris by G.E. Haussmann. Napoleon III and Haussmann established and applied the urban green regulation within Paris urban planning. The purpose of this study is to investigate the green regulations Haussmann's Paris urban plan and urban green space system: and as a result of this, it can be an indicator for urban green space development in Korea.