• 지능정보연구
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• 제17권4호
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• pp.293-304
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• 2011

본 연구는 NFC(Near Field Communication) 기술 기반의 세렌디피티 시스템의 설계와 구현을 목적으로 한다. NFC 기능이 탑재된 스마트폰은 계속 출시되고 있다. NFC 스마트폰의 보급으로 많은 장소에 NFC 태그가 설치되고 사용자들은 이를 터치하여 정보와 서비스를 제공받을 것으로 예상이 된다. 이러한 NFC가 활용되는 환경에서 사용자들이 어떤 NFC 태그를 터치할 때, 의외의 가치가 있는 발견을 하게 하는 세렌디피티(Serendipity) 서비스가 매우 핵심적인 생활 서비스로 등장할 가능성이 있다. 이에 본 연구는 태그 터치 데이터베이스, 세렌디피티 사례 베이스 데이터베이스, 세렌디피티 Rule 패턴 데이터베이스, 사용자 프로파일 데이터베이스를 활용하여, 사용자가 NFC 태그를 터치하면 사용자가 흥미, 유용성, 새로움을 느낄만한 거래 정보, 컨텐트, 서비스를 부가적으로 제공하는 신개념 서비스인 세렌디피티 서비스를 설계하고 이를 위한 발생 가능한 시나리오와 시스템을 설계한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권7호
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• pp.1951-1975
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• 2023

Recent advances in Cognitive Radio Networks (CRN) have elevated them to the status of a critical instrument for overcoming spectrum limits and achieving severe future wireless communication requirements. Collaborative spectrum sensing is presented for efficient channel selection because spectrum sensing is an essential part of CRNs. This study presents an innovative cooperative spectrum sensing (CSS) model that is built on the Firefly Algorithm (FA), as well as machine learning artificial neural networks (ANN). This system makes use of user grouping strategies to improve detection performance dramatically while lowering collaboration costs. Cooperative sensing wasn't used until after cognitive radio users had been correctly identified using energy data samples and an ANN model. Cooperative sensing strategies produce a user base that is either secure, requires less effort, or is faultless. The suggested method's purpose is to choose the best transmission channel. Clustering is utilized by the suggested ANN-FA model to reduce spectrum sensing inaccuracy. The transmission channel that has the highest weight is chosen by employing the method that has been provided for computing channel weight. The proposed ANN-FA model computes channel weight based on three sets of input parameters: PU utilization, CR count, and channel capacity. Using an improved evolutionary algorithm, the key principles of the ANN-FA scheme are optimized to boost the overall efficiency of the CRN channel selection technique. This study proposes the Artificial Neural Network with Firefly Algorithm (ANN-FA) for cognitive radio networks to overcome the obstacles. This proposed work focuses primarily on sensing the optimal secondary user channel and reducing the spectrum handoff delay in wireless networks. Several benchmark functions are utilized We analyze the efficacy of this innovative strategy by evaluating its performance. The performance of ANN-FA is 22.72 percent more robust and effective than that of the other metaheuristic algorithm, according to experimental findings. The proposed ANN-FA model is simulated using the NS2 simulator, The results are evaluated in terms of average interference ratio, spectrum opportunity utilization, three metrics are measured: packet delivery ratio (PDR), end-to-end delay, and end-to-average throughput for a variety of different CRs found in the network.

• 디지털콘텐츠학회 논문지
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• 제16권5호
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• pp.691-697
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• 2015

슈퍼컴퓨터는 대량의 계산이 필요한 첨단 과학기술분야의 수치계산뿐만 아니라 산업분야의 신제품 설계 및 개발에도 다양하게 접목되어 사용되고 있다. KISTI의 슈퍼컴퓨터 4호기 Tachyon은 SUN Blade 서버기반으로 구성된 초병렬 컴퓨팅 시스템으로 3,200개의 컴퓨팅 노드와 인프라 노드들로 구분된다. 이 시스템은 현재 만여 명의 사용자와 170여개의 기관이 사용 중에 있으며, 수많은 작업들이 스케줄러를 통해 배치형태로 작업을 수행하고 있다. 또한 Tachyon에서는 작업 제출부터 종료까지 관련된 해당 스크립트와 수행 환경, 라이브러리, 작업수행로그 등을 저장하게 된다. 본 논문에서는 스케줄러로 사용되고 있는 Sun Grid Engine의 배치작업정보와 Tachyon 작업수행로그를 가지고 분석을 진행하였다. 특히, Tachyon에서 사용자가 수행했던 작업 결과 중 실패 작업을 구분하여 원인을 분석하고 그중 일부 작업에 대한 개선을 통해 정상 작업을 추출함으로써 시스템의 전체 성공률을 향상시킬 수 있다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2002년도 ITC-CSCC -1
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• pp.238-241
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• 2002

With the popularity of utilization of the Internet among people, the amount of data in the network rapidly increased. So that, the fall of response time from WWW server, which is caused by the network traffic and the burden on m server, has become more of an issue. This problem is encouraged the rearch by redundancy of requesting the same pages by many people, even though they browse the same the ones. To reduce these redundancy, WWW cache server is used commonly in order to store m page data and reuse them. However, the technical uses of WWW cache that different from CPU and Disk cache, is known for its difficulty of improving the cache hit rate. Consecuently, it is difficult to choose effective WWW data to be stored from all data flowing through the WWW cache server. On the other hand, there are room for improvement in commonly used cache replacement algorithms by WWW cache server. In our study, we try to realize a WWW cache server that stresses on the improvement of the stresses of response time. To this end, we propose the new cache replacement algorithm by focusing on the utilizable information of network distance from the WWW cache server to WWW server that possessing the page data of the user requesting.

• 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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• 제9권3호
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• pp.278-288
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• 2003

소프트웨어 제품을 실행시키기 위해 요구되는 데이타의 품질은 소프트웨어 품질에 영향을 미치고 있다 특히 대용량의 데이타로부터 의미 있는 지식을 추출하는 지식공학 시스템에서 원시 데이터의 품질을 보장하는 일은 매우 중요하다. 본 논문에서는 데이타의 측정 도구인 DAQUM도구를 설계 구현하였다. 본 논문에서는 DAQUM도구의 설계 및 구현에 관한 주요내용을 기술하고, 사례연구를 통하여 DAQUM도구가 오류데이타를 검색하여 데이타 사용자 관점에서 데이타의 품질을 정량적으로 측정 가능하도록 함을 나타낸다. DAQUM도구는 데이타의 품질 측정 및 품질 제어를 가능하게 함으로써 데이타를 주로 처리하는 소프트웨어 제품의 품질 향상에 기여할 수 있다.

• 산업경영시스템학회지
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• 제41권3호
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• pp.170-175
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• 2018

While the term online shopping refers to all online transactions, cross-border online shopping means shopping activities purchasing products or services over the internet for the customers abroad. As Internet use for the international shopping activity increasing, cross border online shopping has grown substantially for last decade. This study is about the problem regarding the cross border online shopping for two different countries and the variables that influence their shopping behavior. The cross border online shopping has been increased by the growth of Internet access. However, the growth of the Internet use does not guarantee a successful development of cross border e-commerce for every country. To find out the perception for cross-border online shopping for two different cultures, shoppers from two countries with different cultural background were chosen, and the perception for cross-border online shopping from each culture is contrasted. For statistical Analysis, ANOVA is used to find the relationship between a single non-metric independent variable, and multiple metric dependent variables. Hofstede's cultural dimensions model is adopted for this study as a tool to find out the patterns of cross border online shopping. This study showed what the variables would affect the perception in cross border online shopping. The results of this study indicated that cross border online shoppers with different culture were notably different on two variables identified-timeliness and ease of use.

• 한국정보과학회논문지:소프트웨어및응용
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• 제30권11호
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• pp.1102-1111
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• 2003

스프레드시트는 사용하기 쉽기 때문에 가장 널리 사용되는 프로그래밍 도구이지만, 아직까지 스프레드시트 응용프로그램 개발에 객체지향 기술을 적용하려는 시도는 상대적으로 적었다. 일반적으로 스프레드시트 응용프로그램은 내부에 많은 오류를 포함하고 있으며, 재사용성이 낮고, 유지 보수가 어려운 단점을 가지고 있다. 이러한 문제를 해결하기 위해서 본 논문에서는 XCEL이라는 객체지향 스프레드시트를 소개한다. XCEL은 스프레드시트 응용프로그램을 체계적으로 개발하기 위한 데이타 모델링 방법과 스프레드시트에서 객체지향 프로그래밍을 표현하기 위한 방법을 지원한다. XCEL은 데이타 모델링에서 XML과 플로우차트를 이용해서 클래스를 정의하고, 스프레드시트에서는 연속된 셀들의 영역을 이용해서 객체들을 표현한다. XCEL을 이용하면 스프레드시트 응용프로그램 개발에 객체지향 기술들을 그대로 적용할 수 있는 장점이 있다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권11호
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• pp.5404-5424
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• 2018

This work is mainly focused on two major topics in cloud platforms by using OpenStack as a case study: management and provisioning of resources to meet the requirements of a service demanded by remote end-user and relocation of virtual machines (VMs) requests to offload the encumbered compute nodes. The general framework architecture contains two subsystems: 1) An orchestrator that allows to systematize provisioning and resource management in OpenStack, and 2) A resource utilization based subsystem for vibrant VM relocation in OpenStack. The suggested orchestrator provisions and manages resources by: 1) manipulating application program interfaces (APIs) delivered by the cloud supplier in order to allocate/control/manage storage and compute resources; 2) interrelating with software-defined networking (SDN) controller to acquire the details of the accessible resources, and training the variations/rules to manage the network based on the requirements of cloud service. For resource provisioning, an algorithm is suggested, which provisions resources on the basis of unused resources in a pool of VMs. A sub-system is suggested for VM relocation in a cloud computing platform. The framework decides the proposed overload recognition, VM allocation algorithms for VM relocation in clouds and VM selection.

• International Journal of Computer Science & Network Security
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• 제21권8호
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• pp.182-186
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• 2021

The market for smart phones has been booming in the past few years. There are now over 400,000 applications on the Android market. Over 10 billion Android applications have been downloaded from the Android market. Due to the Android popularity, there are now a large number of malicious vendors targeting the platform. Many honest end users are being successfully hacked on a regular basis. In this work, a cloud based reputation security model has been proposed as a solution which greatly mitigates the malicious attacks targeting the Android market. Our security solution takes advantage of the fact that each application in the android platform is assigned a unique user id (UID). Our solution stores the reputation of Android applications in an anti-malware providers' cloud (AM Cloud). The experimental results witness that the proposed model could well identify the reputation index of a given application and hence its potential of being risky or not.

• 한국BIM학회 논문집
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• 제9권4호
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• pp.62-74
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• 2019

Because the existing BIM platform is based on user services, the focus is on the development of SaaS (Software as a Service), which provides business services online. However, since a harbor is a security facility, the harbor BIM platform is preferably provided in a private form, rather than relying on the infrastructure environment provided by external cloud providers. Therefore, this study analyzes and reviews the main functions to be provided as SaaS services of the harbor BIM platform. The goal is to build a cloud-based harbor BIM platform that can provide this service to users. To this end, we built IaaS (Infrastructure as a Service) environment of the harbor BIM platform based on the open source Open Stack and integrate and develop PaaS environment with Open Shift applied with IaaS. We applied the GPU to the harbor BIM platform to verify the performance of the harbor BIM platform, and found that the rendering and loading times are improved. In particular, it is expected to reduce the cost of introduction and provide it as the basic cloud environment of similar BIM platform for infrastructure facilities.