• Title/Summary/Keyword: 리소스 평가

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An Effective Employment and Execution Performance Improvement Method of Mobile Web Widget Resources Based on the OMTP BONDI (OMTP BONDI 기반 모바일 웹 위젯 리소스의 효율적 운용 및 구동 성능 개선 기법 연구)

  • Bang, Ji-Woong;Kim, Dae-Won
    • Journal of Korea Multimedia Society
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    • v.14 no.2
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    • pp.153-170
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    • 2011
  • OMTP (Open Mobile Terminal Platform) is a global forum made by telecommunications providers to promote user-oriented mobile services and data business. Devised by OMTP, BONDI is a browser-based application or a mobile web run-time platform to help widgets make good use of functions of mobile devices in a secure way. BONDI enables applications programmed with web standard technologies such as HTML, JavaScript, CSS, and AJAX to reach the internal functions of mobile devices. Since BONDI, which is not just a simple network application, can reach the internal resources of devices in standard ways, it enables the application and widgets to be developed regardless of tile OS or platform. Web browser-based widgets are vulnerable to the network environment, and their exeeution speed can be slowed as the operations of the widgets or applications become heavy. However, those web widgets will be continuously used thanks to the user-friendly simple interface and the faster speed in using web resources more than the native widgets inside the device. This study suggested a method to effectively operate and manage the resource of OMTP BONDI web widget and then provided an improved result based on a running performance evaluation experiment. The experiment was carried to improve the entire operating time by enhancing the module-loading speed. In this regard, only indispensable modules were allowed to be loaded while the BONDI widget was underway. For the purpose, the widget resource list, able to make the operating speed of the BONDI widget faster, was redefined while a widget cache was employed. In addition, the widget box, a management tool for removed widgets, was devised to store temporarily idle widgets.

Development of a Lowload Emotion Estimation Algorithm Using Biosignal (생체신호를 이용한 저부하형 감성평가알고리즘의 개발)

  • Kim, Dong-Wook
    • Proceedings of the KAIS Fall Conference
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    • 2006.05a
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    • pp.252-257
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    • 2006
  • 감성은 인간의 생활에서 논리적 사고와 의사결정, 감정의 발생, 행동 등 모든 부분에 깊숙이 영향을 미치고 있어, 최근 감성의 개념을 도입한 공학적 제품의 도입이 활성화되어 여러 분야에 다양하게 사용 되어지고 있다. 그러나 감성을 평가함에 있어서는 단순한 해석의 의미 수준을 벗어 인간의 삶을 향상시키기 위한 제품이나 환경의 개발을 위해서는 인간의 감성을 정확하게 이해한다는 것은 체계적인 연구와 활용을 위한 선행 조건이라 할 수 있어, 생리신호등을 이용한 정량화된 감성평가 알고리즘의 개발 필요성이 있다. 특히, 최근 여러 IT기기들이 주변의 다양한 기술을 융합하여 다기능의 기기로 변모를 하고 있으며, 이러한 IT기기들에 인간의 감성을 평가할 수 있는 모듈을 부가하여 인간친화적인 기기로의 변모를 도모하고 있는 실정이다. 따라서, 본 연구에서는 측정이 용이한 소수의 생리신호만으로 간단하게 인간감성을 정량적으로 평가가 가능하며, SoC등에 간단하게 탑재할 수 있도록 시스템의 리소스를 적게 소비하는 소형 경량의 감성평가알고리즘을 개발하였다.

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Design and implementation of Android obfuscation technique using layout file transformation (레이아웃 파일 변환을 이용한 안드로이드 난독화 기법의 설계 및 구현)

  • Park, Heewan
    • Journal of the Korea Convergence Society
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    • v.11 no.11
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    • pp.1-7
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    • 2020
  • Android apps are mostly distributed as an apk files, and when the apk file is uncompressed, resource files such as xml files, images, and sounds related to app design can be extracted. If the resources of banking or finance-related apps are stolen and fake apps are distributed, personal information could be stolen or financial fraud may occur. Therefore, it is necessary to make it difficult to steal the design as well as the code when distributing the app. In this paper, we implemented a tool to convert the xml file into Java code and obfuscate using the Proguard, and evaluated the execution performance. If the layout obfuscation technique proposed in this paper is used, it is expected that the app operation performance can be improved and the illegal copying damage caused by the theft of the screen design can be prevented.

Implementation and Evaluation of IoT Service System for Security Enhancement (보안성 향상을 위한 IoT 서비스 시스템 구현 및 평가)

  • Kim, Jin-bo;Kim, Mi-sun;Seo, Jae-hyun
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.27 no.2
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    • pp.181-192
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    • 2017
  • Internet of Things includes the whole process of collected information generated from a variety of objects, as well as analyzing and sharing it, and providing useful information services to people. This study seeks ways to improve security and safety in the areas of service security technology, ID management technology and service access control, all of which take place in the IoT environment. We have implemented the services that can design and issue C&C (Certificate and Capability) service token authentication, which is based on a public key, to improve the service security. In addition, we suggest LCRS (Left Child-Right Sibling) resource model management for the efficient control of resources when generating the resource services from the data collected from node devices. We also implemented an IoT services platform to manage URL security of the resource services and perform access control for services.

A Resource-Aware Mapping Algorithm for Coarse-Grained Reconfigurable Architecture Using List Scheduling (리스트 스케줄링을 통한 Coarse-Grained 재구성 구조의 맵핑 알고리즘 개발)

  • Kim, Hyun-Jin;Hong, Hye-Jeong;Kim, Hong-Sik;Kang, Sung-Ho
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.46 no.6
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    • pp.58-64
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    • 2009
  • For the success of the reconfigurable computing, the algorithm for mapping operations onto coarse-grained reconfigurable architecture is very important. This paper proposes a resource-aware mapping system for the coarse-grained reconfigurable architecture and its own underlying heuristic algorithm. The operation assignment and the routing path allocation are simultaneously performed with a cycle-accurate time-exclusive resource model. The proposed algorithm minimizes the communication resource usage and the global memory access with the list scheduling heuristic. The operation to be mapped are prioritized with general properties of data flow. The evaluations of the proposed algorithm show that the performance is significantly enhanced in several benchmark applications.

An Analysis of Software Metrics Using the SPEM(Software Project Estimation Model) (소프트웨어 프로젝트 평가모델을 통한 소프트 웨어 메트릭스 분석)

  • Lee, J.K.;Shin, S.K.;Nam, S.S.;Park, K.C.
    • Electronics and Telecommunications Trends
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    • v.17 no.5 s.77
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    • pp.107-118
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    • 2002
  • 본 논문은 대형 프로젝트를 수행하는 데 있어서 필요한 리소스, 인력, 개발비용 및 소프트웨어 소스에 대한 데이터를 추정하여 프로젝트의 효율성을 평가하는 모델인 소프트웨어 프로젝트 평가모델을 이용하여 기 수행된 프로젝트의 경험데이터와 수행되고 있는 프로젝트의 소프트웨어 메트릭스(metrics) 데이터를 활용하여 생산성, 품질, 자원투입 효과, 개발될 소프트웨어 소스 규모 등을 추정해 보고 이를 경험적인 모델(empirical model)에 적용하여 프로젝트 별로 평가, 비교 분석해 본다. 또 향후 유사 프로젝트 관리(similar project management)에 필요한 사항들을 제안한다.

The Performance Evaluation and Implementation of Transaction Service on Java-Based WAP (WAP상의 트랜잭션 서비스의 구현 및 성능평가)

  • 임경수;우시남;안순신
    • Proceedings of the Korean Information Science Society Conference
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    • 2002.04a
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    • pp.565-567
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    • 2002
  • 인터넷과 무선 이동통신 등이 보편화되면서 두 기술을 접목한 WAP (Wireless Application Protocol)[1]이 등장하였으며, 다수의 사용자 요구를 동시에 효율적으로 처리하면서 다양한 무선 단말기로부터 요청을 신속하게 처리할 수 있는 WAP 게이트웨이(gateway)에 대한 연구가 여러 연구 그룹에서 수행되고 있다. 본 논문에서는 Java의 기본적인 서비스인 멀티쓰레드를 이용하고, 컨테이너 유효 리소스의 효율적 관리를 위해 접속 풀링(connection pooling) 기능과 우선순위 큐를 적용하여 WTP (Wireless Transaction Protocol)[2]를 구현한다. 우선순위에 입각하여 구현된 트랜잭션 서비스를 시뮬레이션을 통하여 성능을 분석한다.

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A Clock Synchronization protocol for Distributed Embedded Systems in wireless environments (무선환경에서 분산 임베디드 시스템을 위한 시간 동기화 기법)

  • 이윤준;홍영식
    • Proceedings of the Korean Information Science Society Conference
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    • 2003.10c
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    • pp.220-222
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    • 2003
  • 최근 무선 임베디드 시스템의 사용이 증가하면서 기존의 분산 환경에 무선 임베디드 시스템이 포함되기 시작하였고, 이를 고려한 분산 어플리케이션들이 개발되고 있다. Global clock과 동기화할 수 있는 GPS가 모든 무선 임베디드 시스템에 장착되지 않은 상황에서 분산된 임베디드 시스템간 혹은 고성능 컴퓨터와의 내부 동기화를 수행할 동기화 기법이 필요하다. 현재 무선환경에서의 동기화에 대한 연구들이 이루어지고 있지만 제한된 리소스의 임베디드 시스템에 그대로 적용하기 어렵다. 이에 본 논문에서는 무선 임베디드 시스템만이 가지는 제한사항을 고려하여 메시지 지연값의 변화량을 측정하여 적용할 수 있는 시간 동기화 기법을 제시하고 실험을 통해 그 성능을 평가한다.

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A Crowdsourcing-Based Paraphrased Opinion Spam Dataset and Its Implication on Detection Performance (크라우드소싱 기반 문장재구성 방법을 통한 의견 스팸 데이터셋 구축 및 평가)

  • Lee, Seongwoon;Kim, Seongsoon;Park, Donghyeon;Kang, Jaewoo
    • KIISE Transactions on Computing Practices
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    • v.22 no.7
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    • pp.338-343
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    • 2016
  • Today, opinion reviews on the Web are often used as a means of information exchange. As the importance of opinion reviews continues to grow, the number of issues for opinion spam also increases. Even though many research studies on detecting spam reviews have been conducted, some limitations of gold-standard datasets hinder research. Therefore, we introduce a new dataset called "Paraphrased Opinion Spam (POS)" that contains a new type of review spam that imitates truthful reviews. We have noticed that spammers refer to existing truthful reviews to fabricate spam reviews. To create such a seemingly truthful review spam dataset, we asked task participants to paraphrase truthful reviews to create a new deceptive review. The experiment results show that classifying our POS dataset is more difficult than classifying the existing spam datasets since the reviews in our dataset more linguistically look like truthful reviews. Also, training volume has been found to be an important factor for classification model performance.

An Automated Approach for Exception Suggestion in Python-based AI Projects (Python 기반 AI 프로젝트에서 예외 제안을 위한 자동화 접근 방식)

  • Kang, Mingu;Kim, Suntae;Ryu, Duksan
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.22 no.4
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    • pp.73-79
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    • 2022
  • The Python language widely used in artificial intelligence (AI) projects is an interpreter language, and errors occur at runtime. In order to prevent project failure due to errors, it is necessary to handle exceptions in code that can cause exceptional situations in advance. In particular, in AI projects that require a lot of resources, exceptions that occur after long execution lead to a large waste of resources. However, since exception handling depends on the developer's experience, developers have difficulty determining the appropriate exception to catch. To solve this need, we propose an approach that recommends exceptions to catch to developers during development by learning the existing exception handling statements. The proposed method receives the source code of the try block as input and recommends exceptions to be handled in the except block. We evaluate our approach for a large project consisting of two frameworks. According to our evaluation results, the average AUPRC is 0.92 or higher when performing exception recommendation. The study results show that the proposed method can support the developer's exception handling with exception recommendation performance that outperforms the comparative models.