• 제목/요약/키워드: APIs

검색결과 454건 처리시간 0.028초

봉독의 피부자극시험 및 안점막자극시험 (Dermal and Ocular Irritation Studies of Honeybee (Apis mellifera L.) venom)

  • 한상미;이광길;여주홍
    • 생약학회지
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    • 제42권1호
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    • pp.76-81
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    • 2011
  • The study of irritation and toxicity of honeybee(Apis mellifera. L) venom collected by a bee venom collector applied topically to the skin and mucous membrane were carried out to prove the safety of honeybee venom in clinical use. Animal for the research was the rabbit and the solution for the test was made from honeybee venom. Six animals were used for the skin test and nine animals were used for the eye mucous membrane test. In results, both tests proved that honeybee venom makes no irritable reaction on skin and eye mucous membrane of rabbit. We consider that this result is helpful for saying about the safety of honeybee venom in clinical use.

RTOS기반 임베디드 S/W를 위한 API 정변환/역변환기의 개발 (An API Translator for RTOS-Based Embedded Software Considering Forward/Reverse Transformation)

  • 박병률;맹지찬;이종범;유민수;안현식;정구민
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2007년도 심포지엄 논문집 정보 및 제어부문
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    • pp.187-189
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    • 2007
  • In this paper, we present a model-driven approach for RTOS-based embedded software development and an automated tool that produces RTOS-specific code or RTOS-independent code. We define generic RTOS APIs (Application Programming Interface) that are not bound to any specific RTOS but provide most of typical RTOS services. Generic RTOS APIs can be used to describe application's RTOS-related behavior, The proposed API translator translates task code between C-code for specific RTOS and intermediate code using generic API. Also, the result can be extended to other RTOS's modifying XML transformation rule.

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A Chi-Square-Based Decision for Real-Time Malware Detection Using PE-File Features

  • Belaoued, Mohamed;Mazouzi, Smaine
    • Journal of Information Processing Systems
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    • 제12권4호
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    • pp.644-660
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    • 2016
  • The real-time detection of malware remains an open issue, since most of the existing approaches for malware categorization focus on improving the accuracy rather than the detection time. Therefore, finding a proper balance between these two characteristics is very important, especially for such sensitive systems. In this paper, we present a fast portable executable (PE) malware detection system, which is based on the analysis of the set of Application Programming Interfaces (APIs) called by a program and some technical PE features (TPFs). We used an efficient feature selection method, which first selects the most relevant APIs and TPFs using the chi-square ($KHI^2$) measure, and then the Phi (${\varphi}$) coefficient was used to classify the features in different subsets, based on their relevance. We evaluated our method using different classifiers trained on different combinations of feature subsets. We obtained very satisfying results with more than 98% accuracy. Our system is adequate for real-time detection since it is able to categorize a file (Malware or Benign) in 0.09 seconds.

PC기반 지상파 DMB 미들웨어 수신 플랫폼의 구현 (Implementation of PC-based Receiver Platform for T-DMB Middleware)

  • 이광순;김광용;양규태;안충현;이수인
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2006년도 하계종합학술대회
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    • pp.459-460
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    • 2006
  • In this paper we introduce the implementation of PC-based receiver platform to verify T-DMB middleware APIs. Recently, generic APIs in T-DMB middleware (called DMB MATE API) have been designed to enable inter-operable applications to be downloaded from both the broadcast and telecommunication networks in advance and to be executed on T-DMB receivers from any manufacturers. We also verify the designed MATE API through execution of several applications at the PC-based receiver. In future, the T-DMB middleware verified in PC can be implemented at various receivers such as T-DMB phone and portable T-DMB receiver.

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서양뒤영벌(Bombus terrestris)과 서양종꿀벌(Apis mellifera)의 시설참외(Cucumis melo var makuwa) 화분매개 활동 비교

  • 이상범;배태웅;윤형주;김삼은;심하식;김영수;이기열
    • 한국잠사학회:학술대회논문집
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    • 한국잠사학회 2003년도 제46회 춘계 학술연구 발표회
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    • pp.63-63
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    • 2003
  • 서양뒤영벌(Bombus terrestis)과 꿀벌(Apis melltfera)의 시설참외에서 화분 매개특성을 조사한 결과, 봉종별 방화활동에서 서양뒤영벌 일벌은 10시, 서양뒤영벌 수벌과 꿀벌은 12시에 방화활동 정점에 도달하였다. 암꽃 선호시간은 서양뒤영벌 일벌, 꿀벌 그리고 서양뒤영벌 수벌은 각각 10시, 12시 그리고 14-16시에 가장 높았다. 봉군 투입 후 서양뒤영벌 일벌과 꿀벌은 각각 2일과 5일째부터 정상적인 방화활동을 시작하여 24일간 정상적인 활동을 하였으나 서양뒤영벌 수벌은 3차례의 심한 기복이 있는 불안정한 방화활동을 보였다. (중략)

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AEC 시설물의 프로덕트 모델기반 정보공유 기술 개발에 관한 연구 (A Study on the Development of a Product Model-based Information Framework for AEC Products)

  • 강병철;최삼락;김인한;김학두;김미희;원지선;권정민
    • 한국CDE학회논문집
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    • 제11권4호
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    • pp.256-264
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    • 2006
  • Currently, it is necessary to share and exchange drawing information between 2D and 3D data in AEC(Architecture, Engineering & Construction) fields. The authors suggest an information model framework to express IFC(Industry Foundation Classes)-based drawing of 3D AEC products as 2D drawing. In this study, 1) an information framework has been developed to enable sharing and exchange of AEC product model by adding various information factors, 2) standardized APIs and an IFC2DBrowser are developed.

A Study on Optimizing User-Centered Disaster and Safety Information Application Service

  • Gaeun Kim;Byungjoo Park
    • International journal of advanced smart convergence
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    • 제12권4호
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    • pp.35-43
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    • 2023
  • This paper emphasizes that information received in disaster situations can lead to disparities in the effectiveness of communication, potentially causing damage. As a result, there is a growing demand for disaster and safety information among citizens. A user-centered disaster and safety information application service is designed to address the rapid dissemination of disaster and safety-related information, bridge information gaps, and alleviate anxiety. Through the Open API (Open Application Programming Interface), we can obtain clear information about the weather, air quality, and guidelines for disaster-related actions. Using chatbots, we can provide users with information and support decision-making based on their queries and choices, utilizing cloud APIs, public data portal open APIs, and solution knowledge bases. Additionally, through Mashup techniques with the Google Maps API and Twitter API, we can extract various disaster-related information, such as the time and location of disaster occurrences, update this information in the disaster database, and share it with users.