• Journal of Internet Computing and Services
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• v.12 no.3
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• pp.27-36
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• 2011

The sensor nodes of sensor network system are capable of wireless communication with sink nodes. They also acquire and transmit sensor data in broad region where people cannot access easily. However, the transmission of redundant data from sensor nodes reduces the lifetime of the entire system and substantial amount of resulted data needs to be resorted before implementing them to the specific applications. In this paper, the mobile agent middleware to eliminate the redundant sensor data is designed and implemented. In the proposed system, the mobile agent visits the destination sensor nodes according to the migration list offered by the meta table in the name space of the naming agent, eliminates the redundant sensor data corresponding to user condition, and acquires and transmits sensor data according to the purpose and needs. Thus, the excess transmission of the sensor data is avoided and the lifetime of the entire system can be extended. Moreover, the experiments using the mobile agent middleware with the conditions and limitations that are possible in real situation ore done to verify the successful elimination of the redundant sensor data and the efficiency of the data acquisition. Also, we show the potential applicability of the mobile agent middleware in various active sensor networks through the active rule based mobile agent middleware or the interaction with the active rule system.

• The KIPS Transactions:PartC
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• v.8C no.5
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• pp.507-516
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• 2001

In this paper, we implement sequence-based anomaly detection sensor using SOM and HMM, and analyze what is important information in system call and how a threshold is decided. The new filtering and reduction rules of SOM reduces the input size of HMM. This gives real-time processing to HMM-based anomaly detection sensor. Also, we introduced an anomaly count into the sensor. Due to lessened sensibility, a user easily understand easily the detection information and false-positive was decreased. And the active coordination of the threshold value makes the detection sensor adapt according to the system condition.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.4 no.2
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• pp.397-406
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• 2000

Genetic algorithm is used as a means of search, optimization md machine learning, its structure is simple but it is applied to various areas. And it is about an active and effective controller which can flexibly prepare for changeable circumstances. For this study, research about an action base system evolving by itself is also being considered. There is to have a problem that depended entirely on heuristic knowledge of expert forming membership function and control rule for fuzzy controller design. In this paper, for forming the fuzzy control to perform self-organization, we tuned the membership function to the most optimal using a genetic algorithm(GA) and improved the control efficiency by the self-correction and generation of control rules.

• Journal of Digital Contents Society
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• v.13 no.3
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• pp.291-299
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• 2012

Ubiquitous computing is a technique to provide users with appropriate services, collecting the context information in somewhere by attached sensor. An intelligent system needs to automatically update services according to the user's various circumstances. To do this, in this paper, we propose a design of context ontology, trigger rule for mining service pattern related to users activity and an active mining architecture integrating trigger system. The proposed system is a framework for active mining user activity and service pattern by considering the relation between user context and object based on trigger system.

• Journal of Internet Computing and Services
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• v.2 no.2
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• pp.105-116
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• 2001

According to increase of the factory-automation's(FA) in the field of production, the autonomous guided vehicle's(AGV) role is also increased, The study about an active and effective controller which can flexibly prepare for the changeable circumstance is in progressed. For this study. the research about ac1ion base system to evolve by itself is also being actively considered In this paper. we composed an ac1ive and effective AGV fuzzy controller to be able to do self-organization, For composing it. we tuned suboptimally membership function using genetic algorithm(GA) and improved the control efficiency by the self-correction and generating the control rules. self-organizing controlled(SOC) fuzzy controller proposed in this paper is capable of Self-organizing by using the characteristics of fuzzy controller and genetic algorithm. It intuitionally controls AGV and easily adapts to the circumstance.

• The Transactions of the Korean Institute of Power Electronics
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• v.2 no.4
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• pp.45-55
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• 1997

According to the increase of factory-automation in the field of production, the importance of autonomous guided vehicle's(AGV) role is also increased. The study about an active and effective controller which can flexibly prepare for the changeable circumstance is in progressed. For this study, the research about action base system to evolve by itself is also being actively considered. In this paper, we composed an active and effective AGV fuzzy controller to be able to do self-organization. For composing it, we tuned suboptimally membership function using genetic algorithm(GA) and improved the control efficiency by the self-correction and generating the control rules. Self-organizing controlled(S0C) fuzzy controller proposed in the paper is capable of self-organizing by using the characteristics of fuzzy controller and genetic algorithm. It intuitionally controls AGV and easily adapts to the circumstance.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.5
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• pp.1043-1057
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• 2015

In order to recognize intelligent threats quickly and detect and respond to them actively, major public bodies and private institutions operate and administer an Intrusion Detection Systems (IDS), which plays a very important role in finding and detecting attacks. However, most IDS alerts have a problem that they generate false positives. In addition, in order to detect unknown malicious codes and recognize and respond to their threats in advance, APT response solutions or actions based systems are introduced and operated. These execute malicious codes directly using virtual technology and detect abnormal activities in virtual environments or unknown attacks with other methods. However, these, too, have weaknesses such as the avoidance of the virtual environments, the problem of performance about total inspection of traffic and errors in policy. Accordingly, for the effective detection of intrusion, it is very important to enhance security monitoring, consequentially. This study discusses a plan for the reduction of false positives as a plan for the enhancement of security monitoring. As a result of an experiment based on the empirical data of G, rules were drawn in three types and 11 kinds. As a result of a test following these rules, it was verified that the overall detection rate decreased by 30% to 50%, and the performance was improved by over 30%.

• Proceedings of the Korean Society of Disaster Information Conference
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• 2023.11a
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• pp.295-296
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• 2023

2023년 우리나라에 발생한 재난은 남부지방의 가뭄, 태풍 카눈에 의한 폭우, 7월~9월 폭염 등의 자연재난과 4월 5일 분당 정자교 붕괴, 4월 29일 검단신도시 붕괴사고, 7월 13일 대구 염색산업단지 황산 누출 등의 사회재난이 발생하였다. 이전 2022년에는 022년 10월 29일, 서울 이태원역 부근에 대규모 인파가 한번에 몰리며 압사사고가 발생하여 159명이 목숨을 잃고 196명의 부상자가 발생하였다. 이처럼 다양한 형태로 발생하는 재난에 대하여 우리나라는 「헌법」과 「재난 및 안전관리 기본법」에서 재난으로부터 국민의 생명·신체 및 재산과 국가의 피해를 줄이기 위해 노력하여야 한다고 명시하고 있다. 재난은 다양한 특성을 지니고 있으며, 학자들의 일반적 견해는 누적성, 불확실성, 복잡성, 인지성 등의 특성을 들고 있다(재난관리론, 2020). 특히, 사회재난은 발생위치, 시점, 피해, 규모를 예측하기가 상대적으로 매우 어렵기에(장대원 외, 2019) 불확실성의 특성을 강하게 보여주고 있다. 이러한 사회재난의 특성은 자연재난과 비교하여 사람들에게 물리적·심리적 영향을 크게 미칠 뿐만 아니라 단기간에 회복하기 어려운 특성을 지닌다(신재헌 외, 2020). 이에 대하여 많은 국민들은 심각한 사회재난이 발생할 때마다 정부차원의 적극적 재난관리 및 통제능력 향상을 요구하고 있으나, 사회재난 특성 상 특정 기관 중심으로 대응하기에는 많은 어려움이 있다(신재헌 외, 2020). 우리나라 경찰은 2021년 7월부터 자치경찰제도를 실시하며 국민의 생명·신체 및 재산의 보호, 범죄예방, 수사 및 질서유지업무 이외에 국민들의 봉사·서비스 행정 요구의 증대로 인한 적극적·능동적 경찰활동으로 변화하게 되었다(조호대, 2014). 이에 따라 경찰은 경찰의 재난관리체계를 확립하고, 경찰의 재난관리에 관한 사항을 규정함을 목적으로 2012년 「경찰 재난관리규칙」을 제정하였다. 이에 본 연구에서는 경찰의 재난 발생 시 역할이 무엇이며, 특히 사회재난 시 경찰의 적극적 대응 방안은 무엇인가에 대하여 살펴보고자 한다.

• Journal of KSNVE
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• v.10 no.6
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• pp.1059-1066
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• 2000

In this paper. a new indirect feedback active noise control (ANC) scheme barred on the fundamental frequency estimation is proposed for systems with a harmonic noise. When reference signals necessary for feedforward ANC configuration are difficult to obtain, the conventional ANC algorithms for multi-tonal noise do not measure the reference signals but generate them with the estimated frequencies.$^{(4)}$ However, the beating phenomena, in which certain frequency components of the noise vanish intermittently, may make the adaptive frequency estimation difficult. The confusion in the estimated frequencies due to the beating phenomena makes the generated reference signals worthless. The proposed algorithm consists of two parts. The first part is a reference generator using the fundamental frequency estimation and the second one is the conventional feedforward control. We propose the fundamental frequency estimation algorithm using decision rules. which is insensitive to the beating phenomena. In addition, the proposed fundamental frequency estimation algorithm has good tracking capability and lower variance of frequency estimation error than that of the conventional cascade ANF method.$^{(4)}$ We are also able to control all interested modes of the noise, even which cannot be estimated by the conventional frequency estimation method because of the poor S/N ratio. We verify the performance of the proposed ANC method through simulations for the measured cabin noise of a passenger ship and the measured time-varying engine booming noise of a passenger vehicle.

• 한국HCI학회:학술대회논문집
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• 2006.02a
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• pp.1168-1174
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• 2006

본 논문에서는 실감형 Networked Virtual Environment (NVE)의 사실성 증진을 위한 Non Player Character (NPC)의 지능적 제어 프레임워크를 제안한다. 이 프레임워크는 반응의 다양성, 실시간성 그리고 NPC의 능동성면에서 기존 게임에서 사용되는 NPC 구현 기법과 차이가 있다. 기존 NPC 제어구조의 경우, 휴먼 사용자의 행동에 따른 NPC의 반응이 일정 스크립트나 규칙에 따르기 때문에 정형적이며, 또한 NPC의 반응시간에 대한 실시간성을 고려하지 않고 있다. 또한 NPC는 휴먼 사용자의 액션에 반응하는 종속적이고 수동적인 역할만을 담당한다. 제안하는 프레임워크에서는 NPC는 각자의 취향을 가지고 있어 다양한 반응과 행동양식을 보일 수 있으며, NPC의 행동 결정 시간에 어느 정도 실시간성을 부여할 수 있으며, 또한 NPC의 역할이 수동적 형태에서 벗어나 능동적으로 계획하여 행동을 실행할 수 있다. 프레임워크의 구현을 위해 SWI-Prolog의 Rule based 추론엔진과 유전자 알고리즘을 사용하였다.