• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.11
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• pp.2032-2038
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• 2006

The recognition of human gestures in image sequences is an important and challenging problem that enables a host of human-computer interaction applications. This paper describes a gesture recognition algorithm based on the particle filters, namely CONDENSATION. The particle filter is more efficient than any other tracking algorithm because the tracking mechanism follows Bayesian estimation rule of conditional probability propagation. We used two models for the evaluation of particle Inter and apply the MATLAB for the preprocessing of the image sequence. But we implement the particle filter using the C++ to get the high speed processing. In the experimental results, it is demonstrated that the proposed algorithm prove to be robust in the cluttered environment.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.11 no.3
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• pp.584-591
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• 2007

The recognition of human gestures in image sequences is an important and challenging problem that enables a host of human-computer interaction applications. This paper describes a gesture recognition algorithm based on the particle filters, namely CONDENSATION. The particle filter is more efficient than any other tracking algorithm because the tracking mechanism follows Bayesian estimation rule of conditional probability propagation. We used two models for the evaluation of particle filter and apply the MAILAB for the preprocessing of the image sequence. But we implement the particle filter using the C++ to get the high speed processing. In the experimental results, it is demonstrated that the proposed algorithm prove to be robust in the cluttered environment.

• Journal of the Korea Convergence Society
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• v.12 no.9
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• pp.127-136
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• 2021

Using the perspective of cultural philosophy, this paper aims to consider the possibility that the future metaverse will be developed into a cultural space for human beings. The redirection of the approach to understanding the metaverse space is necessary. And, this paper critically reviews the dangers of understanding the dichotomous space of reality and virtuality, and mobilized humanistic imagination through the film Ready Player One. Ultimately, the space the future metaverse grows into will be a cultural space run by both homo fabre and homo ludens.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.10-10
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• 2021

하천은 인간뿐만 아니라 다양한 생물이 서식하는 장소로 하천생태계 보전은 수많은 생물들에게 있어 중요한 요소이다. 1970년대의 국내 하천은 대부분 자연하천의 모습을 경제 성장과 더불어 도시화, 공업화 등으로 용수 수요가 급속히 증가함에 따라 기능 위주의 하천관리가 이루어졌으며, 이로 인해 하천유황의 장기적인 변화가 나타났다. 변화가 발생한 하천은 본래의 모습인 자연 하천으로 완벽하게 복원될 수 없다는 한계점이 있으나, 자연과 인간이 서로 유익하게 도움을 주는 양방향 관계로 발전한다면 하천의 기능도 유지하고 하천수생생물 보존에도 긍정적인 영향을 미칠 수 있다. 즉, 하천이 갖고 있는 하천공학적 기능을 최대한 유지하면서도 다양한 수생생물의 서식처의 기능도 되살아나게 해야하는 복합적인 목적을 갖고 있다. 하천 수생생물의 서식처 복원을 위해서는 하천생태계에 필요한 환경유량의 정량적인 평가와 확보방안 및 공급방안의 검토가 필요하다. 본 연구에서는 HEC-EFM(Ecosystem Function Model)을 활용하여 하천 수생생물의 서식조건을 고려한 환경유량을 산정하였다. 연구 대상유역은 2013년 김천부항댐이 준공된 감천유역을 연구대상유역으로 선정하였으며, 댐 건설에 따른 환경유량의 변화와 기후변화를 고려한 가까운 미래의 수문환경 변화 및 이에 따른 환경유량과 하천생태계 서식처 변화를 살펴보고자 하였다.

• The Journal of the Korea Contents Association
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• v.16 no.3
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• pp.184-197
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• 2016

This study investigates human-robot interactions in a museum environment. Unlike robots in movies, robots in real life do not have 'personality,' but instead have a specific purpose and function. This research is primarily about the assignment of specific and appropriate personalities to robots in different contexts. Methods by which a definite personality can be imparted on a robot are discussed in this research. Previous research has addressed attempts to assign a robot personality based on the task context. However, the discussion of robot personality is incomplete. Therefore, we assumed that a robot's character was dependent on the characteristics of its location of use. We planned a $2{\times}2$ comparison of various robot personalities, i.e., introverted or extroverted paired with either a traditional museum or a process-oriented experiential experience. Based on Schmitt's (1999) strategic experiential modules, experiential factors were derived for each set of conditions. To achieve the objectives of the research, theoretical and empirical research were conducted simultaneously. The software JMP 9 was used to verify the research model and hypotheses.

• The Transactions of the Korea Information Processing Society
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• v.6 no.12
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• pp.3718-3726
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• 1999

Color image is more effective than gray one in human visual perception. Therefore, color image processing becomes important area. Color images are often corrupted by noises due to the input sensor, channel transmission errors and so on. Some filtering techniques such as vector median, mean filter, and vector $\alpha-trimmed$ mean filter have been used for color noise removal. Among them, vector $\alpha-trimmed$ mean filter gave the best performance in the mixed color noise. But, there are edge shift and blurring effect because vector $\alpha-trimmed$ mean filter is uniformly processed across the image. So, we proposed a conditional fuzzy cluster filter to improve this problems. Simulation results showed that the proposed scheme improves the NCD measure and visual quality over the conventional vector $\alpha-trimmed$ mean filter in the mixed color noise.

• Journal of the Korea Society of Computer and Information
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• v.14 no.3
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• pp.161-171
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• 2009

In this paper, we propose an automatic method for setting data constraints of a data cleansing service, which is for managing the quality of data exchanged between composite services based on SOA(Service-Oriented Architecture) and enables to minimize human intervention during the process. Because it is impossible to deal with all kinds of real-world data, we focus on business data (i.e. costumer order, order processing) which are frequently used in services such as CRM(Customer Relationship Management) and ERP(Enterprise Resource Planning). We first generate an extended-element vector by extending semantics of data exchanged between composite services and then build a rule-based system for setting data constraints automatically using the decision tree learning algorithm. We applied this rule-based system into the data cleansing service and showed the automation rate over 41% by learning data from multiple registered services in the field of business.

• Journal of the Korean Chemical Society
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• v.54 no.1
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• pp.38-42
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• 2010

A sensitive quantitative method for the determination of matrine alkaloids in human urine was developed based on hollow fiber liquid-phase microextraction (HF-LPME) combined with HPLC. The influence of the different factors on the HF-LPME efficiency including the pH and ion strength of the donar solution, the pH of the acceptor solution, stirring rate and extraction time were examined. The best HF-LPME conditions were as follows: 1-octanol impregnated in the pores of the hollow fiber, 100 mmol/L of $H_3PO_4$ at pH 1.50 as the acceptor solution injected into the lumen of the hollow fiber, 1 mol/L NaOH used to adjust the pH of the donor solution, stirring rate of 600 rpm and extraction time of 60 min. The LPME method was applied successfully to the analysis of matrine and sophocarpine in real urine samples.

• Journal of the Korean Institute of Intelligent Systems
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• v.23 no.5
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• pp.436-443
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• 2013

This paper presents design methods of a fuzzy controller and an operator model for a wire-driven heavy material lifting system helping human workers. The wire-driven heavy material lifting system is a kind of human-assistive systems in which a human is involved in the control loop. Thus, human's control characteristics and requirement of reducing worker's force to lift a heavy material are considered in the design process of the proposed fuzzy controller. An automatic weight measurement algorithm during the early stage of lifting is also introduced. Finally, the effectiveness and performance of the proposed system are proved by experiments.

• Archives of design research
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• v.12 no.4
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• pp.305-315
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• 1999

Most people react emotionally and are impressed for natural seen such as act, paint, sculpture, music, science, discovery, act include movie, opera. For empathy, people should make efforts feeling about sense from watching by themselves. Usually we are looking for meaning from art and intend to relate wth the content of music, drama, paint, and movie. The trend of statical order in modern design is strong in this time. However, we need to research the motive order for progressive design. And also, designer who want to give motive order to something must need to study motive order in design. This thesis explains the way of effective approach so that designer can apply the thinking such like bring in emotion. Also this research introduces the way of thinking to do progressive imagination and try to research through case study.