• The Journal of Information Systems
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• v.27 no.2
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• pp.1-28
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• 2018

Purpose More than 7.6 million mobile apps could be approved on both Apple iTunes Store and Google Play. For managing those existed Apps, Apple Inc. established twenty-four primary categories, as well as Google Play had thirty-three primary categories. However, all of their categorizations have appeared more and more problems in managing and classifying numerous apps, such as app miscategorized, cross-attribution problems, lack of categorization keywords index, etc. The purpose of this study focused on introducing individual information cognitive processing as the classification criteria to update the current categorization on Apple iTunes Store. Meanwhile, we tried to observe the effectiveness of the new criteria from a classification process on Apple iTunes Store. Design/Methodology/Approach A research approach with four research stages were performed and a series of mixed methods was developed to identify the feasibility of adopting individual information cognitive processing as categorization criteria. By using machine-learning techniques with Term Frequency-Inverse Document Frequency and Singular Value Decomposition, keyword lists were extracted. By using the prior research results related to car app's categorization, we developed individual information cognitive processing. Further keywords extracting process from the extracted keyword lists was performed. Findings By TF-IDF and SVD, keyword lists from more than five thousand apps were extracted. Furthermore, we developed individual information cognitive processing that included a categorization teaching process and learning process. Three top three keywords for each category were extracted. By comparing the extracted results with prior studies, the inter-rater reliability for two different methods shows significant reliable, which proved the individual information cognitive processing to be reliable as criteria of categorization on Apple iTunes Store. The updating suggestions for Apple iTunes Store were discussed in this paper and the results of this paper may be useful for app store hosts to improve the current categorizations on app stores as well as increasing the efficiency of app discovering and locating process for both app developers and users.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.05a
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• pp.861-864
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• 2013

기존의 애플리케이션 개발방식은 각각의 스마트폰 플랫폼에 종속되어 있기 때문에 플랫폼별로 매번 따로 개발하여야 하므로 비효율적이다. 반면, HTML5 기반 스마트 애플리케이션은 사용자의 스마트 폰이 안드로이드/iOS 여부에 관계없이 동일하게 동작한다. 본 연구에서는 Web DB와 Store를 활용한 캘린더를 구현하였으며, HTML5 UI Framework인 Sencha Touch를 사용하여 HTML5 기반 하이브리드 애플리케이션으로 제작하였다. 특히, Web DB와 Store를 활용하여 날짜 데이터를 다루는 방법, 날짜 기반 검색방법을 소개한다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.15 no.6
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• pp.31-35
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• 2015

The IoE service process for maximizing efficiency of information storage and utilization classifies in step five which are interconnected, data collection, storage, organize, analyze, and share. Two key processing elements are store and forward. Keeping the useful knowledge in safe location is "store processing", and utilization of stored useful knowledge is defined as "forward processing" during the IoE service process. Where, past experience data can tell us how to prepare the future utilization. That is, past experience is organized store processing, and preparation for the future is shared forward processing through analysis. To maximize the utilization and storage of information effectively, the various methodologies for IoE service process propose and research in this paper.

• Proceedings of the Korea Information Processing Society Conference
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• 2005.05a
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• pp.369-372
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• 2005

자바의 문제점은 실행속도의 저하이다. 실행속도 저하의 해결 방법으로 네이티브 코드로 변환, JIT컴파일러, 바이트코드 최적화등의 연구가 되어 왔다. 그중에 바이트코드 최적화 방법을 사용하는 CTOC(Class To Optimized Classes)에서 3-주소 코드를 스택-기반 코드로 코드 확장 기법으로 변환 시 불필요한 store/load 코드가 생성된다. 따라서 본 논문은 불필요한 store/load 코드를 제거하기 위해서 부분 중복 코드 제거 후 불필요한 store/load문을 제거함으로서 불필요한 store/load 코드의 양을 줄이는 변환기를 제안하고, 거기에 대한 간단한 예를 들어 설명한다.

• Korea Information Processing Society Review
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• v.23 no.4
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• pp.19-26
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• 2016

• Journal of Food Hygiene and Safety
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• v.13 no.3
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• pp.238-242
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• 1998

Chicken carcass microflora were evaluated for aerobic microorganisms after defeathering, evisceration, washing, chilling, and sanitizing during a commercial chicken processing and storage at wholesale and retailsale levels. Sampling was at between December 1997, and March, 1998. Tap water washing and sanitizing with 25 ppm chlorine for 10 sec significantly (P<0.05) reduced aerobic plate counts (APC) and gram-negative bacterial counts (GNC) on chicken carcasses from a commercial chicken-processing plant. After 4 days at $2{\pm}2^{\circ}C$, APC and GNC on chicken carcasses in retailsale store rapidly increased compared to those in wholesale store (P<0.05). Chicken wings from retailsale store significantly (P<0.05) decreased generation time (GT) compared to other chicken carcasses.

• Journal of Korea Society of Digital Industry and Information Management
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• v.7 no.3
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• pp.25-35
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• 2011

In the Semantic Web, storage models are required to efficiently store and retrieve metadata and ontology represented using OWL that can provide expressive power and reasoning support. In this paper, we propose an OWL storage model that can store and retrieve many restrictions and semantic relations defined on ontology with metadata. In addition, we propose some methods and rules to improve query processing efficiency of the proposed storage model. The proposed storage model can store and process large amounts of ontology and metadata because it consists of tables based on the relational database. And the proposed model can quickly provide more accurate results to users because of performing two different types of ontology reasoning and using the prime number labeling scheme to easily identify hierarchy relationships between classes or properties. The comparative evaluation results show that our storage model provides better performance than the existing storage model.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.04a
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• pp.1121-1124
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• 2012

열-지향 데이터베이스 시스템인 C-Store는 많은 상용 데이터베이스 시스템과는 달리 데이터를 행(row) 위주가 아닌 열(column) 위주로 저장을 하여, 데이터 웨어하우스와 같이 주로 읽기 IO를 유발하는 환경에서 데이터의 전송량을 줄임으로써, 높은 성능을 보였다. 본 논문에서는 대표적인 열 지향 저장 DBMS인 C-Store와 행 위주의 저장구조를 사용하는 기존 DBMS와의 차이점을 알아보고, C-Store의 저장장치로 하드디스크와 차세대 저장장치로 주목받고 있는 플래시 SSD(Solid State Disk)를 사용하였을 때, 발생할 수 있는 장단점에 대해 분석하였다.

• Journal of information and communication convergence engineering
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• v.9 no.6
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• pp.625-628
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• 2011

Dynamic sensor network(DSN) technology which is based on swarming flight type air node offers analyzed and acquired information on target data gathered by air nodes in rotation flight or 3 dimension array flight. Efficient operation of dynamic sensor network based on air node is possible when problems of processing time, data transmission reliability, power consumption and intermittent connectivity are solved. Delay tolerant network (DTN) can be a desirable alternative to solve those problems. DTN using store-and-forward message switching technology is a solution to intermittent network connectivity, long and variable delay time, asymmetric data rates, and high error rates. However, all processes are performed at the bundle layer, so high power consumption, long processing time, and repeated reliability technique occur. DSN based on swarming flight type air node need to adopt store-and-forward message switching technique of DTN, the cancelation scheme of repeated reliability technique, fast processing time with simplified layer composition.

• Spatial Information Research
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• v.1 no.1
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• pp.7-16
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• 1993

Current computer technologies developing. our requirements are changing from simple alpha-numeric processing to graphic and image. spatial data processing which are easy for user to understand and use. Geographic information system is a kind of spatial database system that can not only print out the data in the form of maps but also manipulate. store. retrieve. and analyze the geographic data. It is efficient system that can process the spatial data which has a geographical feature and its relative attribute data. Conventional relational database management systems are not suitable for spatial data processing, so we need to design the spatial database mana-gement system which is suitable for efficient spatial data processing. In this paper we design the extended storage management system that supports the spatial index technique that allows user to access fast and store and manage the enormous spatial data efficiently like geographic information system.