• Journal of the Institute of Electronics Engineers of Korea SP
• /
• v.48 no.2
• /
• pp.88-95
• /
• 2011

Stereo matching is the research area that regarding the estimation of the distance between objects and camera using different view points and it still needs lot of improvements in aspects of speed and accuracy. This paper presents a fast stereo matching algorithm based on plane-converging belief propagation that uses message passing convergence in hierarchical belief propagation. Also, stereo matching technique is developed using GPU and it is available for real-time applications. The error rate of proposed Plane-converging Belief Propagation algorithm is similar to the conventional Hierarchical Belief Propagation algorithm, while speed-up factor reaches 2.7 times.

• The Transactions of The Korean Institute of Electrical Engineers
• /
• v.58 no.12
• /
• pp.2520-2528
• /
• 2009

In this paper, we proposed tracking detection methodology using information granulation-based fuzzy radial basis function neural networks (IG-FRBFNN). According to IEC 60112, tracking device is manufactured and utilized for experiment. We consider 12 features that can be used to decide whether tracking phenomenon happened or not. These features are considered by signal processing methods such as filtering, Fast Fourier Transform(FFT) and Wavelet. Such some effective features are used as the inputs of the IG-FRBFNN, the tracking phenomenon is confirmed by using the IG-FRBFNN. The learning of the premise and the consequent part of rules in the IG-FRBFNN is carried out by Fuzzy C-Means (FCM) clustering algorithm and weighted least squares method (WLSE), respectively. Also, Hierarchical Fair Competition-based Parallel Genetic Algorithm (HFC-PGA) is exploited to optimize the IG-FRBFNN. Effective features to be selected and the number of fuzzy rules, the order of polynomial of fuzzy rules, the fuzzification coefficient used in FCM are optimized by the HFC-PGA. Tracking inference engine is implemented by using the LabVIEW and loaded into embedded system. We show the superb performance and feasibility of the tracking detection system through some experiments.

• Journal of the Institute of Convergence Signal Processing
• /
• v.15 no.4
• /
• pp.155-161
• /
• 2014

In this paper, a cluster-based routing protocol in distributed sensor network is proposed, which enable the balanced energy consumption in the sensor nodes densely deployed in the sensor fields. This routing protocol is implemented based on clusters with hierarchical scheme. The clusters are formed by the closely located sensor nodes. A cluster node with maximum residual energy in the cluster, can be selected as cluster head node. In routing, one of the nodes in the intersection area between two clusters is selected as a relay-node and this method can extend the lifetime of all the sensor nodes in view of the balanced consumption of communication energy.

• Journal of Navigation and Port Research
• /
• v.31 no.4
• /
• pp.317-323
• /
• 2007

As economic trade between Korea and China has been encouraged with the rapid growth of Chinese economy and port competition in Northeast Asia, Korean government is trying to promote development and consolidation of ports to cope with the lack of facilities. Thus, many projects for port development have been propelled including the enactment the 'Private investment promotion law for social overhead capital 1994.' However, there are still some unsettled issues since considerable part of risk is still allocated to the Government when it has to support the private businesses in these port investments whenever unexpected problems arise. Allocation of risk among the participants - in this case especially - is a very subtle issue, however, it was revealed that not many precedent researches were done on the subject. In my previous research, I classified and analyzed 4 principle risks i.e, construction, management, financial and social risk. This research investigates the reasonable allocation of the risks among the participants using the Hierarchial Fuzzy Process. In the result of analysis, responsibility of private party is the most important and it must put the responsibility before Government' roll concerned. Also, this research displayed and proposed the direction of management method on port development in a view of minimizing risk and maximizing initiative of a private party.

• The Transactions of the Korea Information Processing Society
• /
• v.4 no.10
• /
• pp.2493-2500
• /
• 1997

We propose a new key management scheme for multiuser group which is classified as hierarchical structure (sometimes it is called a multilevel security hierarchy) in the symmetric key cryptosystem. The proposed scheme is based on the trapdoor one-way permutations which are generated by the pseudo-random permutation algorithm, and it is avaliable for multilevel hierarchical structure composed of a totally ordered set and a partially ordered set, since it has advantage for time and storage from an implemental point of view. Moreover, we obtain a performance analysis by comparing with the other scheme, and show that the proposed scheme is very efficient for computing time of key generation and memory size of key storage.

• Educational Technology International
• /
• v.18 no.2
• /
• pp.159-191
• /
• 2017

Academic analytics guides university decision-makers to assign limited resources more effectively. Especially, diverse academic courses clustered by the usage patterns and levels on Learning Management System(LMS) help understanding instructors' pedagogical approach and the integration level of technologies. Further, the clustering results can contribute deciding proper range and levels of financial and technical supports. However, in spite of diverse analytic methodologies, clustering analysis methods often provide different results. The purpose of this study is to present implications by using three different clustering analysis including Gaussian Mixture Model, K-Means clustering, and Hierarchical clustering. As a case, we have clustered academic courses based on the usage levels and patterns of LMS in higher education using those three clustering techniques. In this study, 2,639 courses opened during 2013 fall semester in a large private university located in South Korea were analyzed with 13 observation variables that represent the characteristics of academic courses. The results of analysis show that the strengths and weakness of each clustering analysis and suggest that academic leaders and university staff should look into the usage levels and patterns of LMS with more elaborated view and take an integrated approach with different analytic methods for their strategic decision on development of LMS.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.35 no.5
• /
• pp.561-574
• /
• 2011

This study investigates the ultimate factor structure of consumer dissatisfaction with the off-line purchase and usage of clothing. It identifies the determinant dimensions of consumer dissatisfaction on clothing purchase and usage and investigates the hierarchical structure of consumer dissatisfaction by assessing and comparing the effectiveness of five alternative factor structure models. A total of 300 women were online-surveyed to assess the level of dissatisfaction based on their dissatisfying experience with clothing purchases and usage in terms of product quality, price, salesperson's attitude, and store environment. The exploratory factor analysis identified the underlying dimensions of dissatisfaction: Handling, Aesthetics, Salesperson, Size, Price, Product Quality, Service, and Environment. By employing a first-order confirmatory factor analysis and higher-order confirmatory factor analysis, consumer dissatisfaction was confirmed to have a hierarchical structure with three second-order constructs Intrinsic instrument is manifested by handling, quality, and size, Intrinsic expression consists of service, salesperson, and environment, and Extrinsic circumstance contains aesthetics and price. On empirically demonstrating the multi-dimensional constructs of consumer dissatisfaction by identifying its hierarchical structure, the study provides the theoretical and practical insights to comprehend consumer purchase and post-purchase behavior. Specifically, it affords an empirical platform to extend the scope of research with condensed concepts of dissatisfaction to researchers. In addition, it also enables marketers to take a broader view of consumer dissatisfaction by providing cues about potential problems and identifying the source of those problems.

• Journal of the Korean Geographical Society
• /
• v.32 no.1
• /
• pp.113-124
• /
• 1997

The purpose of this article is to analyze some problems of the present curriculum of social studies education and develop a newer hierarchical curriculum system for the 7th Curriculum Reformation in the primary and secondary school of Korea. Most of the major problems of social studies education come from the mixture of different subject matters without reasonable education logic. Most of teachers feel some difficulties in teaching the social studies for the lack of other subject knowledges. For the better teaching, it is needed to control the integrating level according to the learner's intellectual ability from the elementary school to high school. So, it is necessary to enhance students' thinking skills by their own ability of restructuring knowledges from all subject matters in more advanced curriculum. Also, it is required to develop a new hierarchical system of curriculum concerning the geographical view of the world. Students can have many kinds of geographical view points if teachers can well organize learning activities logically for the students to enhance their understanding of geography by adjusting scale of regional unit, geographical theme, and resolution level of interpretation. And then, in the elementary school curriculum, the students are required to understand the spatial variation of places, and various environments in the world, scale. In the junior high school, students have to understand the relationship between man and nature in the context of large scale environments. The high school curriculum needs to be focused on the student's understanding of the spatial contexts of places by theoretical application in the smaller scale region different from elementary and junior high school curriculums.

• Journal of the Korea Safety Management & Science
• /
• v.15 no.3
• /
• pp.61-69
• /
• 2013

According to ISO 26262 (the international standard on functional safety for automotive industry), the functional safety should be considered during the whole automotive systems life cycle from the design phase throughout the production phase. In order to satisfy the standard, the automotive and related industry needs to take appropriate actions while carrying out a variety of development activities. This paper presents an approach to coping with the standard. Analyzing the standard indicates that the safety issues of the automotive systems should be handled with a system's view whereas the conventional approach to solving the issues has been practiced with focus on the component's level. The aforementioned system's view implies that the functional safety shall be incorporated in the system design from both the system's life-cycle view and the hierarchical view for the structure. In light of this, the systems engineering framework can be quite appropriate in the functional safety development and thus has been taken in this paper as a problem solving approach. Of various design issues, the analysis and verification of the safety requirements for functional safety is a key study subject of the paper. Note, in particular, that the conventional FMEA (failure mode effects analysis) and FTA (fault tree analysis) methods seem to be partly relying on the insufficient experience and knowledge of the engineers. To improve this, a systematic method is studied here and the result is applied in the design of an ABS braking system as a case study.

• The Journal of the Korea Contents Association
• /
• v.17 no.3
• /
• pp.329-336
• /
• 2017

In video compression, Motion Estimation(ME) limits the performance of image quality and generated bit rates. However, it requires much complexity in the encoder part. Multi-view video uses many cameras at different positions. Multi-view video coding needs huge computational complexity in proportion to the number of the cameras. To reduce computational complexity and maintain the image quality, an effective motion estimation method is proposed in this paper. The proposed method exploiting the characteristics of motion vector distribution and the motion of video. The proposed is a kind of a hierarchical search strategy. This strategy consists of multi-grid rhombus pattern, diagonal pattern, rectangle pattern, and refinement pattern. Experiment results show that the complexity reduction of the proposed method over TZ search method and PBS (Pel Block Search) on JMVC (Joint Multiview Video Coding) can be up to 40~75% and 98% respectively while maintaining similar video image quality and generated bit rates.