• 정보화연구
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• 제10권1호
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• pp.1-11
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• 2013

Various computing systems are used in naval ships. Since each system has a single purpose and its applications are tightly coupled with the physical machine, applications cannot share physical resources with each other. It is hard to utilize resources efficiently in conventional naval shipboard computing environment. In this paper, we present an integration architecture for virtualized naval shipboard computing systems based on open architecture. Our proposed architecture integrates individual computing resources into one single integrated hardware pool so that the OS and applications are encapsulated as a VM. We consider the issue of varying needs of all applications in a naval ship that have different purposes, priorities and requirements. We also present parallel VM migration algorithm that improves the process time of resource reallocation of given architecture. The evaluation results with the prototype system show that our algorithm performs better than conventional resource reallocation algorithm in process time.

• Journal of information and communication convergence engineering
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• 제18권3호
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• pp.183-187
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• 2020

The general Wi-Fi network connection structure is that a number of IoT (Internet of Things) sensor nodes are directly connected to one AP (Access Point) node. In this structure, the range of the network that can be established within the specified specifications such as the range of signal strength (RSSI) to which the AP node can connect and the maximum connection capacity is limited. To overcome these limitations, multiple middleware bridge technologies for dynamic scalability and load balancing were studied. However, these network expansion technologies have difficulties in terms of the rules and conditions of AP nodes installed during the initial network deployment phase In this paper, an intelligent edge computing IoT device is developed for constructing an intelligent autonomous cluster edge computing network and applying it to real-time road danger context aware and notification system through an intelligent risk situation recognition algorithm.

• 대한산업공학회지
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• 제41권5호
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• pp.439-446
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• 2015

Recently, the importance of one-class classification problem is more increasing. However, most of existing algorithms have the limitation on providing the information that effects on the prediction of the target value. Motivated by this remark, in this paper, we suggest an efficient one-class classifier using hyper-rectangles (H-RTGLs) that can be produced from intervals including observations. Specifically, we generate intervals for each feature and integrate them. For generating intervals, we consider two approaches : (i) interval merging and (ii) clustering. We evaluate the performance of the suggested methods by computing classification accuracy using area under the roc curve and compare them with other one-class classification algorithms using four datasets from UCI repository. Since H-RTGLs constructed for a given data set enable classification factors to be visible, we can discern which features effect on the classification result and extract patterns that a data set originally has.

• International Journal of Contents
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• 제2권4호
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• pp.25-30
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• 2006

The mutual exclusion (MX) paradigm can be used as a building block in many practical problems such as group communication, atomic commitment and replicated data management where the exclusive use of an object might be useful. The problem has been widely studied in the research community since one reason for this wide interest is that many distributed protocols need a mutual exclusion protocol. However, despite its usefulness, to our knowledge there is no work that has been devoted to this problem in a mobile computing environment. In this paper, we describe a solution to the mutual exclusion problem from mobile computing systems. This solution is based on the token-based mutual exclusion algorithm.

• ETRI Journal
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• 제27권6호
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• pp.666-676
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• 2005

In recent years, motivated by the emergence of ubiquitous computing technologies, a new class of networked robots, ubiquitous robots, has been introduced. The Ubiquitous Robotic Companion (URC) is our conceptual vision of ubiquitous service robots that provide users with the services they need, anytime and anywhere in ubiquitous computing environments. To realize the vision of URC, one of the essential requirements for robotic systems is to support ubiquity of services: that is, a robot service must be always available even though there are changes in the service environments. Specifically robotic systems need to be automatically interoperable with sensors and devices in current service environments, rather than statically preprogrammed for them. In this paper, the design and implementation of a semantic-based ubiquitous robotic space (SemanticURS) is presented. SemanticURS enables automated integration of networked robots into ubiquitous computing environments exploiting Semantic Web Services and AI-based planning technologies.

• International Journal of Computer Science & Network Security
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• 제22권3호
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• pp.95-100
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• 2022

Cloud computing platform is a shared pool of resources and services with various kind of models delivered to the customers through the Internet. The methods include an on-demand dynamically-scalable form charged using a pay-per-use model. The main problem with this model is the allocation of resource in dynamic. In this paper, we have proposed a mechanism to optimize the resource provisioning task by reducing the job completion time while, minimizing the associated cost. We present the Cooperative Agents Dynamic Resource Allocation and Monitoring in Cloud Computing CADRAM system, which includes more than one agent in order to manage and observe resource provided by the service provider while considering the Clients' quality of service (QoS) requirements as defined in the service-level agreement (SLA). Moreover, CADRAM contains a new Virtual Machine (VM) selection algorithm called the Node Failure Discovery (NFD) algorithm. The performance of the CADRAM system is evaluated using the CloudSim tool. The results illustrated that CADRAM system increases resource utilization and decreases power consumption while avoiding SLA violations.

• Communications for Statistical Applications and Methods
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• 제6권1호
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• pp.293-303
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• 1999

When test outcomes of units are dichotomous and he infection rate is small group testing is more efficient that noe-to-one testing in estimating the true p and classifying units as infected or not. In this paper two-sided hypothesis testing and confidence intervals are derived based on the UMP(uniformly most powerful) unbiased test. The UMP unbiased approach is compared with Thompson's and Bhattacharyya et al.'s approaches by computing the length of confidence intervals and capture probabilities and shown to have a number of desirable properties. Unequal allocation one of advantages of the proposed approach is also mentioned.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2001년도 ICCAS
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• pp.154.1-154
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• 2001

The paper describes a new type of robot called "artificial liferobot" which is able to learn, make decisions, and behave by itself based on a brain-type computing technique called "artificial brain". The artificial liferobot has self-learning ability from the environment by the interactions between human being and it. The artificial brain makes the artificial liferobot to behave by itself with its intensions like living things as human being. We briefly introduce one attempt of our researches for developing cognitive and behavioral intelligent artificial liferobot in out laboratory. One of our purposes is the development of the artificial liferobot, which plays an Important role in taking care of elderly and infirm people in a rapidly aging society.

• 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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• 제12권1호
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• pp.31-42
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• 2006

상황인식 처리기술은 사용자의 컨텍스트에 근거하여 사용자와 장치간의 상호 운용성을 지원해 줌으로써, 사용자로 하여금 정보 획득 및 실행을 보다 용이하게 하도록 해주는 기술이다. 이는 유비쿼터스 컴퓨팅 환경에서 가장 중요한 핵심 기술중의 하나이다. 따라서 본 논문에서는 유비쿼터스 컴퓨팅에서 상황인식 처리를 위한 미들웨어 및 컨텍스트 서버를 제안하고, 이를 이용한 응용시스템을 구현한다. 본 연구에서 제안하는 미들웨어는 블루투스 무선 통신 기술을 이용하여 이동성을 지닌 이동 노드를 발견하고 컨텍스트 서버로부터 해당 컨텍스트에 적합한 실행 모듈을 실행하는 기능을 담당한다. 한편, 제안하는 컨텍스트 서버는 사용자의 현재 상태, 물리적 환경, 컴퓨팅 시스템의 리소스 등의 상황 정보를 효율적으로 데이타베이스 서버에 저장하는 관리자의 역할을 수행한다. 마지막으로 본 연구에서 구현된 응용시스템은 상황정보에 근거하여 음악 재생 서비스를 제공하는 응용 시스템으로써, 아울러 본 연구에서 구축된 미들웨어 및 컨텍스트 서버의 유용성을 보이고 있다.

• 정보처리학회논문지D
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• 제9D권3호
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• pp.457-466
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• 2002

본 논문에서는 인터넷을 통해 실시간으로 항상 최신의 컴퓨터 용어 검색 서비스를 제공할 수 있는 웹을 기반으로 한 컴퓨터 용어 사전을 설계하고 구현하였다. 본 용어사전은 FOLDOC(Free On-Line Dictionary Of Computing)의 사전을 기본으로 영문 해설을 제공하고 각 용어에 대해 한 명 이상의 번역자가 번역할 수 있도록 함으로써 기존 컴퓨터 사전에서 제공하지 않는 기능을 추가하였다. 그리고 SQL Server DBMS와 SQL을 이용한 다양한 검색 인터페이스(입력 문자로 시작하는 용어 검색, 입력 문자가 해설에 들어간 용어 검색 등)를 제공함으로써 적은 정보만으로도 원하는 용어를 검색할 수 있게 하였다. 본 컴퓨터 용어 사전의 성능 평가를 위해서 FOLDOC Mirror Site의 로그를 분석하여 CPU 부하율을 측정하였다. 실험 결과 본 컴퓨터 용어 사전은 최대 1780여명 이상의 동시 사용자를 수용할 수 있다는 결론을 얻었다.