• Title/Summary/Keyword: API

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Asthma predictive index in children with recurrent wheezing (반복성 천명을 가진 소아에서 천식 발생 예측 지표의 적용)

  • Jang, Joo Young;Kim, Hyo Bin;Lee, So Yeon;Kim, Ja Hyung;Kim, Bong Seong;Seo, Hee Jung;Hong, Soo-Jong
    • Clinical and Experimental Pediatrics
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    • v.49 no.3
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    • pp.298-304
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    • 2006
  • Purpose : We compared the asthma predictive index(API) and the modified asthma predictive index (mAPI) of the Tuscon Children's Respiratory Study Group in Korean children with recurrent wheezing. We investigated the atopic profiles and presence of allergen sensitization of each risk group, and ascertained the significant clinical risk factors. Methods : Two hundred and sixty two children, who visited for recurrent wheezing from 1998 to 2005, were enrolled and divided into groups by API and mAPI. We investigated the history of the patients and their families, atopic profiles, and sensitization to aeroallergen and food allergens. Twenty nine children were followed up to 6 years of age and we evaluated the sensitivity, specificity and positive and negative predictive value of both indices. Results : The high risk group of API were of older age, were more likely to be sensitized to aeroallergen(P=0.001) and food allergen(P=0.034) and had higher levels of total eosinophil count, eosinophil percent, serum ECP, total IgE, and D.p-, D.f-specific IgE. High risk group of mAPI showed higher levels of atopic markers such as egg-, milk-, D.p- and D.f-specific IgE. Even though API did not include allergen sensitization, the high risk group was more significantly sensitized to common allergens than the low risk group. Twenty nine children were followed up until 6 years of age; therefore 15 children were diagnosed as asthma, clinically. The sensitivity, specificity, positive and negative predictive values of mAPI were higher than API. Conclusion : Both high risk groups of API and mAPI had higher levels of atopic markers and were more sensitized to common allergens. These findings suggest that sensitization to aeroallergens and food allergens are more objective markers as asthma predictive indices. In addition, mAPI is a more reliable index in predicting asthma in Korean children with recurrent wheezing than is API. But only 29 patients were followed until the age of 6, so we need to include more children with long term follow up for future study.

A Semantic-Based Mashup Development Tool Supporting Various Open API Types (다양한 Open API 타입들을 지원하는 시맨틱 기반 매쉬업 개발 툴)

  • Lee, Yong-Ju
    • Journal of Internet Computing and Services
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    • v.13 no.3
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    • pp.115-126
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    • 2012
  • Mashups have become very popular over the last few years, and their use also varies for IT convergency services. In spite of their popularity, there are several challenging issues when combining Open APIs into mashups, First, since portal sites may have a large number of APIs available for mashups, manually searching and finding compatible APIs can be a tedious and time-consuming task. Second, none of the existing portal sites provides a way to leverage semantic techniques that have been developed to assist users in locating and integrating APIs like those seen in traditional SOAP-based web services. Third, although suitable APIs have been discovered, the integration of these APIs is required for in-depth programming knowledge. To solve these issues, we first show that existing techniques and algorithms used for finding and matching SOAP-based web services can be reused, with only minor changes. Next, we show how the characteristics of APIs can be syntactically defined and semantically described, and how to use the syntactic and semantic descriptions to aid the easy discovery and composition of Open APIs. Finally, we propose a goal-directed interactive approach for the dynamic composition of APIs, where the final mashup is gradually generated by a forward chaining of APIs. At each step, a new API is added to the composition.

A Study on the Automatic Generation of Test Case Based on Source Code for Quality Improvement (소프트웨어 품질향상을 위한 소스코드 기반의 테스트 케이스 자동 생성에 관한 연구)

  • Son, Ung-Jin;Lee, Seung-Ho
    • Journal of IKEEE
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    • v.19 no.2
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    • pp.186-192
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    • 2015
  • This paper proposes an automatic generation technology of test case based on API in source code for software's quality improvement. The proposed technology is comprised of four processes which are analyzing source code by using the Doxygen open source tool, defining API specification by using analyzed results, creating test design, generating a test case by adapting Pairwise test technology. Analyzing source code by using the Doxygen open source tool is the phase in which API information in source code such as the API name, input parameter and return parameter are extracted. Defined API specification by using analyzed results is the phase where API informations, which is needed to generate test case, are defined as a form of database by SQLite database on the basis of extracted API information. Creating test design is the phase in which the scenario is designed in order to be composed as database by defining threshold of input and return parameters and setting limitations based on the defined API. Generating a test case by adapting Pairwise test technique is the phase where real test cases are created and changed into database by adapting Pairwise technique on the base of test design information. To evaluate the efficiency of proposed technology, the research was conducted by begin compared to specification based test case creation. The result shows wider test coverage which means the more cases were created in the similar duration of time. The reduction of manpower and time for developing products is expected by changing the process of quality improving in software developing from man-powered handwork system into automatic test case generation based on API of source code.

A Study on Malware Clustering Technique Using API Call Sequence and Locality Sensitive Hashing (API 콜 시퀀스와 Locality Sensitive Hashing을 이용한 악성코드 클러스터링 기법에 관한 연구)

  • Goh, Dong Woo;Kim, Huy Kang
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.27 no.1
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    • pp.91-101
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    • 2017
  • API call sequence analysis is a kind of analysis using API call information extracted in target program. Compared to other techniques, this is advantageous as it can characterize the behavior of the target. However, existing API call sequence analysis has an issue of identifying same characteristics to different function during the analysis. To resolve the identification issue and improve performance of analysis, this study includes the method of API abstraction technique in addition to existing analysis. From there on, similarity between target programs is computed and clustered into similar types by applying LSH to abstracted API call sequence from analyzed target. Thus, this study can attribute in improving the accuracy of the malware analysis based on discovered information on the types of malware identified.

A Study of Pull and Push Service Based on Sensor Networks (센서 네트워크 기반의 Pull 및 Push 서비스 연구)

  • Kim, Kyu-Li;Kim, Do-Hyeun;Byun, Yung-Cheol
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.9 no.5
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    • pp.1289-1295
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    • 2008
  • Recently, it is progressing a study for supporting various application services using OpenAPI(Application Program Interface). But it is not enough a study related OpenAPI(Open Application Interface) to access many collected context data of sensor networks for ubiquitous application services. Therefor, this paper presents Pull/Push service model based on sensor networks, and implements OpenAPI fer Pull/push application services. And, we design and implement OpenAPI using web service for Pull application services. This Pull OpenAPI supports users the context data of temperature and humidity using the remote service based on .Net framework in sensor networks. And, we design and implement OpenAPI using TCP/IP socket interface for Push application services in sensor network. This Push OpenAPI provides users a state of temperature, humidity collecting in sensor networks. Consequently, user can develop easily various application services as supporting OpenAPI instead of closed application interface of sensor networks based on existed specific database.

A Study on the Bibliographic Records and the Expansion of Library Catalog Using Open API (Open API를 이용한 서지레코드와 목록 확장에 관한 연구)

  • Gu, Jung-Eok;Lee, Eung-Bong
    • Journal of the Korean Society for Library and Information Science
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    • v.43 no.2
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    • pp.299-328
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    • 2009
  • In this study, the present condition of 8 Open APIs for books, such as Naver, Daum, Aladdin, Amazon, Google, KERIS, LibraryThing, and OCLC, were compared and analyzed. In addition, the bibliographic records of 167 samples of visible 'light & paraphotic' (DDC 535) classifications were selected from the bibliographic records of the library of C university, and the effectiveness of the Open APIs were compared and analyzed. On the basis of the results of this analysis, 12 Open API application models, which were judged to be useful in expanding the function of the access point of the bibliographic records and enhancing the library catalog using Open API, were experimentally implemented. Various methods of augmenting access points of bibliographic records and expanded library catalogue were investigated using the unique identifier described in the KORMARC fields of 001, 010, 012, 020, 035, 246, 505, 520, 850, 856 for the integrated format for bibliographic data, and Open API. Finally, using Open API for the brief display and detailed display screen as a result of search of the OPAC of the sample bibliographic records, the devices for the expanding library catalog were implemented as examples.

Malicious Codes Re-grouping Methods using Fuzzy Clustering based on Native API Frequency (Native API 빈도 기반의 퍼지 군집화를 이용한 악성코드 재그룹화 기법연구)

  • Kwon, O-Chul;Bae, Seong-Jae;Cho, Jae-Ik;Moon, Jung-Sub
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.18 no.6A
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    • pp.115-127
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    • 2008
  • The Native API is a system call which can only be accessed with the authentication of the administrator. It can be used to detect a variety of malicious codes which can only be executed with the administrator's authority. Therefore, much research is being done on detection methods using the characteristics of the Native API. Most of these researches are being done by using supervised learning methods of machine learning. However, the classification standards of Anti-Virus companies do not reflect the characteristics of the Native API. As a result the population data used in the supervised learning methods are not accurate. Therefore, more research is needed on the topic of classification standards using the Native API for detection. This paper proposes a method for re-grouping malicious codes using fuzzy clustering methods with the Native API standard. The accuracy of the proposed re-grouping method uses machine learning to compare detection rates with previous classifying methods for evaluation.

A Study On the Design of MyData API G/W (마이데이터 API G/W 설계 연구)

  • Sehjoon Dokko;Changwon Choi
    • Journal of Internet of Things and Convergence
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    • v.9 no.2
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    • pp.47-54
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    • 2023
  • The MyData service makes anyone possible to apply the personal information for the personal credit management or the financial management by proactive managing his/her own information. The MyData means that the anyone is able to control or manage the its own information by changing from the company-oriented or the organization-oriented information to his/her own information. It is mandatory to develop the API G/W which transforms the different user format to the standard format to support the MyData service. This study is to design the API G/W for the MyData service and the designed API G/W supports the 4 major functions - Validation function, Throttling function, Authentication&Authorization function, Mediation function. The designed API G/W make it possible to support the safely and efficient MyData service by serving the various queries with the different formats.

Web 2.0-based Teaching-Learning Strategy using Open API and Mashup Services (오픈 API와 매쉬업을 활용한 Web 2.0 수업전략)

  • Han, Seon-Kwan;Lee, Eun-Mi
    • 한국정보교육학회:학술대회논문집
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    • 2011.01a
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    • pp.195-202
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    • 2011
  • In the latest internet environment based on Web 2.0, the open API in the form of mash-ups have emerged. In this study, we analyzed the contents of textbooks and curriculum related Web 2.0. We also designed the teaching and learning strategies using open API and mashup services. Firstly, we divided into four specific types of teaching-learning procedures and suggested the lesson plans. Moreover we developed the prototype on open API and mashup service-based contents and sites. Through this study, we presented special teaching strategies using new technology like an open API and mashup.

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A Study on applying the CSSM API for Security Interface to Electronic Commerce (전자상거래 보안 인터페이스를 위한 CSSM API의 적용방안에 대한 연구)

  • 김영덕;신동명;최용락
    • Journal of the Korea Society of Computer and Information
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    • v.5 no.4
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    • pp.13-20
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    • 2000
  • There are many security problems with Electronic Commerce since insecure public networks, especially Internet, are used. Therefore, for implementing secure Electronic Commerce, CAPI(Cryptographic Application Programming Interfaces) is expected to use various form of security applications. The Cryptographic Application Programming Interface supports cryptographic services for each level and various security services. The CSSM API(Common Security Service Management Application Programming Interface) Provides modularity, simplicity, and extensibility in terms of various add-in modules and interfaces in contract to other CAPIs. This paper proposed an applying method of CSSM API having various extensibility and supporting multi-platforms to Electronic Commerce. we describe encryption, digital signature operation of CSSM API's CSP interface and evaluate secureness by matching relation of theratening factors to security services.

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