• Journal of Korea Trade
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• v.23 no.4
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• pp.103-114
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• 2019

Purpose - This paper investigates the structure of exports across countries in terms of value added. Exports value added is examined under two categories, domestic and overseas. Using a statistical classification method by distance based on these two value added categories, this paper estimates the similarity of exports value added across countries including Korea. Design/methodology - The model of study is to employ a generalized distance function and then derive the Manhattan and Euclidean distances. The paper also performs cluster analysis using the Partitioning Around Medoids (PAM) and hierarchical methods to classify the 44 sample countries considered in this study. Findings - Our main findings are as follows. The 44 countries can be classified under 5 groups by their domestic and overseas value added in exports. Korea has a sandwich global value chains (GVCs) position between Japan, China, and Taiwan in the East Asian region. Originality/value - Existing papers point out the double counting problem of trade statistics as the intermediate goods trade across borders increases. This paper addresses the double counting problem by using the World Input-Output Table. The paper shows the need to explore the similarity of value added in exports structure across countries and investigate the GVCs position and role of each country.

• Proceedings of the Korean Information Science Society Conference
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• 2000.10c
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• pp.375-377
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• 2000

유선 네트워크 환경을 위해 디자인된 경로설정 프로토콜들은 대역폭의 제한성과 예측할 수 없는 토폴로지의 변화로 인해 ad-hoc 네트워크 환경에 적용하기에는 부적합하다. 최근 들어 ad-hoc 네트워크 환경에 적합한 경로설정 프로토콜들이 많이 개발되었다. 본 논문에서는 기존의 ad-hoc 경로설정 프로토콜을 토폴로지 변화에 대한 적응력을 향상시키기 위해서 GPS(Global Positioning System) 기술을 활용하여 가상 지역(virtual zone) 개념을 제안하고 있다. 본 논문에서 제안하는 프로토콜은 AODV(Ad-hoc On-demand Distance Vector) 경로설정 프로토콜을 기본으로 하고 있다. AODV의 경로설립(route discovery) 과정 시 이러한 가상 지역 개념을 도입함으로써 이동 단말의 이동성에 의한 토폴로지의 변화에도 불구하고 잘 적응할 수 있는 안정된 경로의 설립을 목표로 하고 있다. 본 논문에서는 시뮬레이션을 통하여 다양한 트래픽 상태와 단말들의 이동성 형태에 따른 중요 변수들을 설명하였으며 이에 따라 제안된 경로설정 프로토콜(AODV-GPS)의 효율성을 검증하고 있다.

• International Journal of Computer Science & Network Security
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• v.22 no.6
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• pp.251-255
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• 2022

The article considers the state and trends of distance learning in the world and Ukraine, identifies the main species differences between distance education and other forms of education, analyzes the state of the global market for educational services provided via the Internet. Important features and characteristics of distance learning, examples of its organization in higher education, as well as statistics on the development of distance learning in our country. The main problematic points on the way to the implementation of the distance education system in Ukraine and the factors that hinder the development of this promising form of education are outlined.

• International Journal of Automotive Technology
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• v.8 no.4
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• pp.493-504
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• 2007

This paper proposes a stereo vision-based forward obstacle detection and distance measurement method. In general, stereo vision-based obstacle detection methods in automotive applications can be classified into two categories: IPM (Inverse Perspective Mapping)-based and disparity histogram-based. The existing disparity histogram-based method was developed for stop-and-go applications. The proposed method extends the scope of the disparity histogram-based method to highway applications by 1) replacing the fixed rectangular ROI (Region Of Interest) with the traveling lane-based ROI, and 2) replacing the peak detection with a constant threshold with peak detection using the threshold-line and peakness evaluation. In order to increase the true positive rate while decreasing the false positive rate, multiple candidate peaks were generated and then verified by the edge feature correlation method. By testing the proposed method with images captured on the highway, it was shown that the proposed method was able to overcome problems in previous implementations while being applied successfully to highway collision warning/avoidance conditions, In addition, comparisons with laser radar showed that vision sensors with a wider FOV (Field Of View) provided faster responses to cutting-in vehicles. Finally, we integrated the proposed method into a longitudinal collision avoidance system. Experimental results showed that activated braking by risk assessment using the state of the ego-vehicle and measuring the distance to upcoming obstacles could successfully prevent collisions.

• International Commerce and Information Review
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• v.14 no.2
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• pp.349-367
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• 2012

Recently, the global paradigm on the economic structure has been changed from the price-oriented borderless competition toward the sustainable quality movement due to the ever-increasing global warming and environmental issues. Since Korea hosted the global 20 summit in 2010, it has promoted the green growth policies and asked for the other countries to participate in. Unfortunately, it is not easy to figure out the green growth or green productivity because the economic performance has a side effect of environmental pollution such as CO2 emission. This paper aims to analyzes the methodological comparison for all the related issues with green productivity and suggests the new paradigm of global Malmquist-Lundberger index (GML) as the most flexible field and performance-oriented criteria to measure the green productivity.

• Journal of the korean Society of Automotive Engineers
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• v.24 no.2
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• pp.35-36
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• 2002

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2010.03b
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• pp.23-23
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• 2010

Because of power consumption increase, global warming, and limitation of installation, not only high reliability and interruption capability but also compact and light power apparatuses are needed. In this paper, various models that short and long gap distance were used to analyze E field of each model. Calculation value was estimated of flashover position. As a result, short and long gap distance that vacuum interrupter inner between move electrode and fix electrode not coincided flashover position of each model. short gap distance estimated flashover position at electrode edge. but long gap distance model confirmed $E_{max}$ value at center shield. in this paper was compared electric field value. and estimated of flashover position from electric field calculation.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.5
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• pp.147-153
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• 2018

Beacon enables one to measure distance indoors based on low-power Bluetooth low energy (BLE) technology, while GPS (Global Positioning System) only can be used outdoors. In measuring indoor distance using Beacon, RSSI (Received Signal Strength Indication) is considered as the one of the key factors, however, it is influenced by various environmental factors so that it causes the huge gap between the estimated distance and the real. In order to handle this issue, we propose the adaptive ANN (Artificial Neural Network) based approach to measuring the exact distance using Beacon. First, we has carried out the preprocessing of the RSSI signals by applying the extended Kalman filter and the signal stabilization filter into decreasing the noise. Then, we suggest the multi-layered ANNs, each of which layer is learned by specific training data sets. The results showed an average error of 0.67m, a precision of 0.78.

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.12
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• pp.168-175
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• 2013

Color consistency in stereoscopic contents is important for 3D display systems. Even with a stereo camera of the same model and with the same hardware settings, complex color discrepancies occur when acquiring high quality stereo images. In this paper, we propose an integrated color matching method that use cumulative histogram in global matching and estimated 3D-distance for the stage of local matching. The distance between the current pixel and the target local region is computed using depth information and the spatial distance in the 2D image plane. The 3D-distance is then used to determine the similarity between the current pixel and the target local region. The overall algorithm is described as follow; First, the cumulative histogram matching is introduced for reducing global color discrepancies. Then, the proposed local color matching is established for reducing local discrepancies. Finally, a weight-based combination of global and local matching is computed. Experimental results show the proposed algorithm has improved global and local error correction performance for stereoscopic contents with respect to other approaches.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.37 no.6
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• pp.38-47
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• 2000

In pattern classification, the Bhattacharyya distance has been used as a class separability measure. Furthemore, it is recently reported that the Bhattacharyya distance can be used to estimate error of Gaussian ML classifier within 1-2% margin. In this paper, we propose a feature extraction method utilizing the Bhattacharyya distance. In the proposed method, we first predict the classification error with the error estimation equation based on the Bhauacharyya distance. Then we find the feature vector that minimizes the classification error using two search algorithms: sequential search and global search. Experimental reslts show that the proposed method compares favorably with conventional feature extraction methods. In addition, it is possible to determine how man, feature vectors arc needed for achieving the same classification accuracy as in the original space.