• 한국지반환경공학회 논문집
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• 제11권12호
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• pp.19-25
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• 2010

기초조사란 위험비탈면에 실시하는 정밀조사와는 달리 비탈면의 현황을 파악하고자 실시한다. 과거 기초조사자료를 토대로 하여 전국 국도변에 분포하고 있는 비탈면의 일반현황을 분석하였다. 또한 비탈면 일반 현황과 붕괴가 발생한 비탈면에 대한 비교분석을 통하여 유지관리 시 중요한 사항에 대하여 연구를 수행하였다. 10년 전 붕괴가 발생된 자료와 현재 붕괴된 자료를 통하여 비탈면 파괴 유형 및 대책공법의 적용에 대한 변화 추이를 분석하였다. 추후 원인별 붕괴형태 분석 및 대책공법과의 연관성을 연구하려 한다.

• 대한음성학회지:말소리
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• 제56호
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• pp.185-194
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• 2005

In this paper, we present POSSDM (POSTECH Situation-Based Dialogue Manager) for a spoken dialogue system using a new example and situation-based dialogue management technique for effective generation of appropriate system responses. Spoken dialogue system should generate cooperative responses to smoothly control dialogue flow with the users. We introduce a new dialogue management technique incorporating dialogue examples and situation-based rules for EPG (Electronic Program Guide) domain. For the system response inference, we automatically construct and index a dialogue example database from dialogue corpus, and the best dialogue example is retrieved for a proper system response with the query from a dialogue situation including a current user utterance, dialogue act, and discourse history. When dialogue corpus is not enough to cover the domain, we also apply manually constructed situation-based rules mainly for meta-level dialogue management.

• Journal of Electrical Engineering and Technology
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• 제9권3호
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• pp.1051-1059
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• 2014

In this paper, we propose an intelligent situation recognition model by collecting and analyzing multiple sensor signals. Multiple sensor signals are collected for fixed time window. A training set of collected sensor data for each situation is provided to K2-learning algorithm to generate Bayesian networks representing causal relationship between sensors for the situation. Statistical characteristics of sensor values and topological characteristics of generated graphs are learned for each situation. A neural network is designed to classify the current situation based on the extracted features from collected multiple sensor values. The proposed method is implemented and tested with UCI machine learning repository data.

• 대한음성학회:학술대회논문집
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• 대한음성학회 2005년도 추계 학술대회 발표논문집
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• pp.113-115
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• 2005

In this paper, we present POSSDM (POSTECH Situation-Based Dialogue Manager) for a spoken dialogue system using a new example and situation-based dialogue management techniques for effective generation of appropriate system responses. Spoken dialogue system should generate cooperative responses to smoothly control dialogue flow with the users. We introduce a new dialogue management technique incorporating dialogue examples and situation-based rules for EPG (Electronic Program Guide) domain. For the system response inference, we automatically construct and index a dialogue example database from dialogue corpus, and the best dialogue example is retrieved for a proper system response with the query from a dialogue situation including a current user utterance, dialogue act, and discourse history. When dialogue corpus is not enough to cover the domain, we also apply manually constructed situation-based rules mainly for meta-level dialogue management.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권5호
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• pp.2414-2428
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• 2018

In order to solve the problem that the current network security situation assessment methods just focus on the attack behaviors, this paper proposes a kind of network security situation assessment method based on Markov Decision Process and Game theory. The method takes the Markov Game model as the core, and uses the 4 levels data fusion to realize the evaluation of the network security situation. In this process, the Nash equilibrium point of the game is used to determine the impact on the network security. Experiments show that the results of this method are basically consistent with the expert evaluation data. As the method takes full account of the interaction between the attackers and defenders, it is closer to reality, and can accurately assess network security situation.

• 대한방사선협회지
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• 제28권1호
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• pp.153-160
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• 2002

The MRI to be established currently in march in pusan city medical treatment engine about the activate situation on hand current situation of the operation accrual condition we investigate from 2002 year February 8 days of march 9. 2002 the analysis exami

• 한국분말야금학회:학술대회논문집
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• 한국분말야금학회 2006년도 Extended Abstracts of 2006 POWDER METALLURGY World Congress Part 1
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• pp.229-230
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• 2006

The global metal injection moulding industry is getting mature. The technology is on its way to grow from a niche technology to a widely accepted manufacturing process. This paper addresses the latest technological trends in MIM. Challenges in materials development as well as the current limits of the technology are discussed. Trends in processing like 2-component injection moulding and micro injection moulding are presented. The European MIM market situation is described and some key factors for business success are addressed. In the discussion of future business opportunities best practice examples are included.

• 한국항해항만학회지
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• 제39권2호
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• pp.131-140
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• 2015

The main aim of this paper, via the method of statistical data analysis, is to analyze the current situation of the shipping industry and policies of the shipping industry in Vietnam. Section 1 gives some key information about the current situation of the shipping industry in Vietnam such as: shipping companies and their fleets, seafarers and ports. In view of the many restrictions faced by the Vietnamese shipping industry, section 2 is used to disclose the policies issued by the Vietnamese government in order to help the domestic maritime industry develop further in the near future, and the outcomes of implementing these policies. Besides the fact that some of the measures were feasible and reasonable, some others were not as effective as they were supposed to be, or in fact the initial forecast of their effectiveness was far-fetched. In the last section, after analyzing reasons for the failures, the author proposes that focusing on coastal transportation routes, fleet and port restructuring and skilled labour training were truly necessary to the development of the industry in the immediate period. Furthermore, this paper is also expected to provide a basic foundation for further research by the authors about 'the strategical approach for the development of shipping industry in developing countries: a case of Vietnam' in the near future.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2001년도 The 6th International Symposium of East Asian Resources Recycling Technology
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• pp.252-256
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• 2001

The rapid development of communication equipment and information processing technology has led to a constant improvement in cordless communication. Lithium ion batteries used in cellular phones and laptop computers, in particular, have been in the forefront of the above revolution. These batteries use high value added raw materials and have a high and stable energy output and are increasingly coming into common use. The development of the material for the negative terminal has led to an improvement in the quality and efficiency of the batteries, whereas a reduction in the cost of the battery by researching new materials for the positive anode has become a research theme by itself. These long life batteries, it is being increasingly realized, can have value added to them by recycling. Research is increasingly being done on recycling the aluminum case and the load casing for the negative diode. This paper aims to introduce the current situation of recycling of lithium ion batteries. 1. Introduction 2. Various types of batteries and the situation of their recycling and the facts regarding recycling. 3. Example of cobalt recycling from waste Lithium ion secondary cell. 3-1) Flow Chart of Lithium ion battery recycling 3-2) Materials that make a lithium ion secondary cell. 3-3) Coarse grinding of Lithium ion secondary cell, and stabilization of current discharge 3-4) Burning 3-5) Grinding 3-6) Magnetic Separation 3-7) Dry sieving 3-8) Dry Classifying 3-9) Content Ratio of recycled cobalt parts 3-10) Summary of the Line used for the recovery of Cobalt from waste Lithium ion battery. 4. Conclusion.

• 한국산업정보학회논문지
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• 제19권6호
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• pp.63-76
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• 2014

최근 많은 사람들이 스마트폰을 이용해 다양한 방법으로 원하는 정보를 추천 받고 있다. 그와 관련해 추천을 위한 많은 어플리케이션이 존재하지만, 현재 사용자 상황에 맞는 정보를 추천해 주는 것은 없다. 자동으로 사용자의 상황에 맞는 추천을 하기 위해서는 사용자의 과거 행위이력으로 부터 미래의 행위를 예측할 필요가 있다. 이에 본 논문에서는 스마트폰을 이용해 사용자의 현재 상황을 수집하고, 수집된 데이터를 라이프로그를 분석하여 구축한 베이지안 네트워크에 적용하여 현 행동을 판별한 후 연관분석을 통해 사용자가 미래에 하게 될 행동을 예측하는 방법을 제안한다. 5명의 실제 학생과 5명의 가상의 직장인에 대해서 실험 및 분석해 본 결과 그 유용성을 확인할 수 있었다.