• Spatial Information Research
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• v.19 no.3
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• pp.83-93
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• 2011

Since urban facilities have a signigicant meaning that represents the degree of development of nations and cities, it is very important to effectively manage and operate the facilities. In this paper, we propose a context-awareness system for managing urban underground facilities intelligently and develop its algorithm and prototype. The algorithm of the suggested system includes the period from the point when various sensors set up in USN environments sense abnormal signals and make alarms to the point when the context-awareness system analyzes the alarm and sends the analysis results to integrated platform and related modules. We then implement the prototype of the proposed context awareness system and verify the effectiveness of the system by performing unit tests. Our developed prototype will become the basis of actual system development. We expect that the suggested system will be used as a good reference model of related systems managing various types of urban facilities.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.535-537
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• 2013

Recently, the quality of the incident of school violence is getting worse and the frequency of its occurrence is gradually increasing. One of the biggest reasons that violence in schools does not reduce is because the attitude that they mean to hide damage from the violence, thus the improvement of such conditions enables school violence to decrease in the short-term effect. This study designed an intelligent reporting platform to prevent additional violence and victim's suicide, by related agencies and parents reporting the circumstance of school violence real-time, as both victims and attackers register real-time troubles anonymously, at any time, anywhere, then are provided 1:1 counseling and customized services, and all contents of the counseling are accumulated in the intelligent reporting platform.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2007.11a
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• pp.82-85
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• 2007

현재 가정을 비롯한 여러 분야에서 서비스 로봇(청소 로봇, 애완용 로봇, 멀티미디어 로봇 둥)의 사용이 증가하고 있는 시장상황을 보이고 있다. 개인용 서비스 로봇은 인간 친화적 특성을 가져야 그 선호도가 높아질 수 있는데 이를 위해서 사용자의 감정 인식 및 표현 기술은 필수적인 요소이다. 사람들의 감정 인식을 위해 많은 연구자들은 음성, 사람의 얼굴 표정, 생체신호, 제스쳐를 통해서 사람들의 감정 인식을 하고 있다. 특히, 음성을 인식하고 적용하는 것에 관한 연구가 활발히 진행되고 있다. 본 논문은 감정 인식 시스템을 두 가지 방법으로 제안하였다. 현재 많이 개발 되어지고 있는 음성인식 모듈을 사용하여 단어별 감정을 분류하여 감정 표현 시스템에 적용하는 것과 마이크로폰을 통해 습득된 음성신호로부터 특정들을 검출하여 Bayesian Learning(BL)을 적용시켜 normal, happy, sad, surprise, anger 등 5가지의 감정 상태로 패턴 분류를 한 후 이것을 동적 감정 표현 알고리즘의 입력값으로 하여 dynamic emotion space에 사람의 감정을 표현할 수 있는 ARM 플랫폼 기반의 음성 인식 및 감정 표현 시스템 제안한 것이다.

• Smart Media Journal
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• v.8 no.2
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• pp.66-73
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• 2019

Recently, object recognition technology using computer vision has attracted attention as a technology to replace sensor-based object recognition technology. It is often difficult to commercialize sensor-based object recognition technology because such approach requires an expensive sensor. On the other hand, object recognition technology using computer vision may replace sensors with inexpensive cameras. Moreover, Real-time recognition is viable due to the growth of CNN, which is actively introduced into other fields such as IoT and autonomous vehicles. Because object recognition model applications demand expert knowledge on deep learning to select and learn the model, such method, however, is challenging for non-experts to use it. Therefore, in this paper, we analyze the structure of deep - learning - based object recognition models, and propose a platform that can automatically select a deep - running object recognition model based on a user 's desired condition. We also present the reason we need to select statistics-based object recognition model through conducted experiments on different models.

• The Journal of the Korea institute of electronic communication sciences
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• v.8 no.8
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• pp.1171-1177
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• 2013

Since existing location-based services suggest a search result, not considering user's environment, intention, or preference, situational awareness is required to resolve this problem. In this paper, an Android-based situational-awareness dynamic scheduling will be suggested and a tourist information service application will be embodied and tested. In other words, a real-time tourist scheduling service that calculates an estimated travel time from user's location to destination and reminds a user before the expected departure time will be developed. In addition to tourist information, an added scheduler provides convenience and improves its functionality.

• The KIPS Transactions:PartA
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• v.12A no.6 s.96
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• pp.477-484
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• 2005

Applications in ubiquitous environments should provide the best services to users by considering the changes of users requirements and service environments, and should adapt service behaviors to the underlying platform's behaviors according to contextual changes. To reflect users requirements actively and provide more flexible services, we propose 2-level context adaptation method for supporting dynamic application adaptability in contextual changes. We offend the range of contexts to users requirements for supporting context adaptation. It can reflect users preferences in offering application services. For application adaptability, we use adaptation policies to allow applications require how they adapt to specific contexts, and to make them react actively on such situations.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.31 no.10A
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• pp.960-967
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• 2006

Mobile communication is evolving toward next generation system that is capable to provide ubiquitous human-centric services with giving no restriction on time and location. In particular, context-awareness will be realized using various sensors and devices and related technologies under the ubiquitous Next Generation (NG) mobile communications environment where user's demand and surrounding context are changing dynamically. By such context awareness, context aware service which provides best suitable services for a user by analyzing user's needs and situational information, will be one of the promising NG mobile services. In this article, we propose NG mobile service environment with focusing on generic service traffic flows supported by the NG service platform which gives various means of connecting users and service providers. Then, we propose evolutional phases of context-aware services based on ranges of context information and evolutional trend of telecommunication technologies and networking environment in NG mobile service environment.

• Proceedings of The KACE
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• 2017.08a
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• pp.197-199
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• 2017

재난 상황이나 우주 공간과 같은 환경에서는 인간이 직접 작업을 수행하기가 매우 어렵다. 따라서 이러한 환경에서 인명 구조나 탐사 등을 진행할 때에는 원격으로 제어가능한 로봇을 활용하는 것이 효과적이다. 특히 이 로봇이 인간의 움직임을 실시간으로 모방한다면 직관적이고 순발력 있는 제어가 가능해진다. 본 연구에서는 키넥트 센서를 이용해 인간의 움직임을 인식하고 이 움직임을 모방하는 로봇핸드와 로봇암을 구현하였다. 하드웨어는 TETRIX와 EV3 플랫폼을 이용하여 설계하였고, 소프트웨어는 C# 기반의 KINECT for Windows SDK와 Visual Studio 2015로 구현하였다. 본 연구에서 구현한 시스템은 재난 현장에서의 인명 구조, 복구 상황에서와 우주 공간에서의 탐사 상황에서 유용하게 사용될 수 있을 것이다.

• KIPS Transactions on Software and Data Engineering
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• v.1 no.1
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• pp.19-30
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• 2012

The context aware service is the service to provide useful information to the users by recognizing surroundings around people who receive the service via computer based on computing and communication, and by conducting self-decision. But CAS(Context Awareness System) shows the weak point of small-scale context awareness processing capacity due to restricted mobile function under the current mobile environment, memory space, and inference cost increment. In this paper, we propose a mobile cloud context system with using Google App Engine based on PaaS(Platform as a Service) in order to get context service in various mobile devices without any subordination to any specific platform. Inference design method of the proposed system makes use of knowledge-based framework with semantic inference that is presented by SWRL rule and OWL ontology and Jess with rule-based inference engine. As well as, it is intended to shorten the context service reasoning time with mapping the regular reasoning of SWRL to Jess reasoning engine by connecting the values such as Class, Property and Individual which are regular information in the form of SWRL to Jess reasoning engine via JessTab plug-in in order to overcome the demerit of queries reasoning method of SparQL in semantic search which is a previous reasoning method.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2023.05a
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• pp.123-125
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• 2023

4차 산업혁명의 가속화에 따라 해운 항만 산업 분야 또한 정보적 측면에서 빅 데이터에 대한 업종별 통합과 공유를 통해 연계 산업 간 산업활동 효율화를 위한 노력이 요구된다. 현재 물류 분야에 다양한 플랫폼들이 도입되고 있지만 대부분 화물운송업 또는 창고 중개업 분야에 편중되어 있다. 항만산업의 경우 코로나 펜데믹 이후 발생한 컨테이너 반입 제한 및 장치율 증가 등에 따라 운송사와 컨테이너터미널 간 갈등이 지속적으로 유발되는 상황이 발생되었다. 이에 따라 본 연구는 플랫폼을 활용한 컨테이너터미널과 운송사 간 플랫폼 개발의 필요성을 인지하고 상호 기업 간 연계 효율성을 높일 수 있는 방안을 모색하였으며 산업 관계자인 컨테이너터미널 운영사, 운송사, 포워더 업종 종사자들을 대상으로 설문지 기반 실증 분석을 수행하였다. 결과적으로 EFA를 통해 추출된 14가지 요인으로 IPA 분석을 수행한 결과 1사분면(사용 용이성, 보안성, 정보 정확성, 정보 적시성, 차량 반출/반입정보, 공컨테이너 반입/반출 정보, 풀컨테이너 반입/반출정보)으로 품질에 대한 지속적인 개선이 수행되어야 하며 2사분면(APP 시스템 품질)에 대한 고려가 종합적으로 수행되어야 함이 도출되었다. 또한, 플랫폼 개발의 주체와 이용자의 참여 유도가 필요하며 상호 이해관계자 간 효율적인 연계와 효율화를 위한 인식 구조 개선이 필요하다고 나타났다. 연구결과는 향후 컨테이너터미널과 내륙운송의 효율적인 연계를 위한 플랫폼 구축에 중대한 시사점을 제공한다.