• 한국정보통신학회논문지
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• 제10권11호
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• pp.2083-2090
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• 2006

제안된 OSGi 플렛폼(Platform) 기반의 상황인식 서비스지향 아키텍쳐에서 서비스공급자는 다양한 센서들로부터 상대적인 서비스들을 통합하여 각각 서비스를 SOAP 메시지로 묶어서 웹서비스를 서비스중재자의 UDDI서버에 등록하면, 서비스요청자는 UDDI서버에서 특정한 서비스를 검색하고, 서비스공급자에게 해당 SOAP메시지를 호출한다. 최근 유비쿼터스 홈네트워크 상황인식기술은 RFID/USN. 위치기반 기술을 중심으로 연구가 진행되고 있으나 이를 위한 서비스 지향 아키텍쳐에 대한 연구는 원만하게 진행되지 않고 있다. 따라서, 본 논문에서는 OSGi Platform 기반에서 다양한 센서 들로부터 수많은 상황인식 서비스가 동적 으로 움직이게 되고 사용자 요구 및 필요성에 따라 신규서비스의 제공 및 기존 서비스의 변경과 제공된 서비스간에 데이터 공유, 서비스 라이프사이클, 서비스분배의 효과적인 관리를 위하여 ATAM으로부터 추출된 성능 유티리티 트리에서 이산 Little's Law를 적용함에 따라 546 TPS 에서 초당 상황인식트랜잭션 처리횟수를 향상시키는 OSGi Platform을 이용한 eclipse STP 기반의 상황인식 SOA를 제안하고자 한다.

• Molecules and Cells
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• 제39권2호
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• pp.77-86
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• 2016

Cancer is a heterogeneous disease caused by diverse genomic alterations in oncogenes and tumor suppressor genes. Despite recent advances in high-throughput sequencing technologies and development of targeted therapies, novel cancer drug development is limited due to the high attrition rate from clinical studies. Patient-derived xenografts (PDX), which are established by the transfer of patient tumors into immunodeficient mice, serve as a platform for co-clinical trials by enabling the integration of clinical data, genomic profiles, and drug responsiveness data to determine precisely targeted therapies. PDX models retain many of the key characteristics of patients' tumors including histology, genomic signature, cellular heterogeneity, and drug responsiveness. These models can also be applied to the development of biomarkers for drug responsiveness and personalized drug selection. This review summarizes our current knowledge of this field, including methodologic aspects, applications in drug development, challenges and limitations, and utilization for precision cancer medicine.

• International Journal of Contents
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• 제8권4호
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• pp.42-49
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• 2012

Recently the unprecedented progress of Android platform and Google Play has brought more opportunities for individual mobile game developers. When playing an Android 3D game, users can accidentally hit HOME Key or BACK Key or receive an incoming message. Subsequently, another screen will appear on top and make the game application lose focus, or the operating system pause that game. These interruption events may also lead to the loss of game information or the game runs out of user control if that game cannot catch interruption events itself and resume at the exact time. As same as other mobile platforms, Android platform also provides Activity Lifecycle methods to help the game application control interruption problems. However, these methods are not adequate to solve all the interruption events. By implementing ANDCube game, we examine most of the possible interruption cases and propose some solutions to help Android game developers avoid some common interruption cases. Concurrently, we show the ways how a game application can catch all unavoidable interruption events and effectively resume from interruption to obtain a high quality game.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2016년도 추계학술발표대회
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• pp.50-53
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• 2016

Image processing techniques play an increasingly important role in many aspects of our daily life. For example, it has been shown to improve agricultural productivity in a number of ways such as plant pest detecting or fruit grading. However, massive quantities of images generated in real-time through multi-devices such as remote sensors during monitoring plant growth lead to the challenges of big data. Meanwhile, most current image processing systems are designed for small-scale and local computation, and they do not scale well to handle big data problems with their large requirements for computational resources and storage. In this paper, we have proposed an IPABigData (Image Processing Algorithm BigData) platform which provides algorithms to support large-scale image processing in agriculture based on Hadoop framework. Hadoop provides a parallel computation model MapReduce and Hadoop distributed file system (HDFS) module. It can also handle parallel pipelines, which are frequently used in image processing. In our experiment, we show that our platform outperforms traditional system in a scenario of image segmentation.

• 농촌계획
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• 제19권4호
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• pp.177-189
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• 2013

3D modeling and rendering technologies are getting more attention from landscape planners and architects because the virtual reality based on 3D graphic technology could give more realistic experience to landscape simulation users and boost promotional effects. The 3D landscape simulation, however, not only requires a lot of cost and time in production, but also demands efforts to distribute to consumers due to various computing environment of them. The purpose of this study is to suggest a process for developing an interactive 3D landscape simulator with low-cost, which can support multi-platform functionality in high quality through reviewing related current software and web services. We select GIMP for 2D image texturing, SketchUpfor 3D modeling, Unity for real-time rendering, and Google Earth for terrain modeling considering price and workability and apply the developed process for Windows, Web, and Android versions to test the applicability for Sangji-ri, Gosam-myeon, Gyeonggi-do, Korea.

• Mycobiology
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• 제48권5호
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• pp.373-382
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• 2020

Laccases (EC 1.10.3.2), a group of multi-copper oxidases (MCOs), play multiple biological functions and widely exist in many species. Fungal laccases have been extensively studied for their industrial applications, however, there was no database specially focused on fungal laccases. To provide a comparative genomics platform for fungal laccases, we have developed a comparative genomics platform for laccases and MCOs (http://laccase.riceblast.snu.ac. kr/). Based on protein domain profiles of characterized sequences, 3,571 laccases were predicted from 690 genomes including 253 fungi. The number of putative laccases and their properties exhibited dynamic distribution across the taxonomy. A total of 505 laccases from 68 genomes were selected and subjected to phylogenetic analysis. As a result, four clades comprised of nine subclades were phylogenetically grouped by their putative functions and analyzed at the sequence level. Our work would provide a workbench for putative laccases mainly focused on the fungal kingdom as well as a new perspective in the identification and classification of putative laccases and MCOs.

• KEPCO Journal on Electric Power and Energy
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• 제8권2호
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• pp.127-135
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• 2022

With the advent of high technologies such as the 4th Industrial Revolution and artificial intelligence and big data, efforts are being made to solve urban problems and improve the quality of life by applying new technologies in the smart city field. In addition, as carbon neutrality has emerged as an important issue due to global warming, smart city energy platform technologies such as urban energy management, efficiency improvement, and carbon reduction are in the spotlight. In order to effectively manage urban energy, energy resource information such as electricity, water, gas, hot water, heating, etc. must be collected from the management system of various energy utilities and managed on the central platform. The centrally integrated data is delivered to external city management systems that require city energy information through an energy platform. This study developed a CIM profile for smart city energy monitoring required to provide energy data to external systems. Electric data model were designed using the CIM class of IEC 61970, and water, gas, and heat data model were designed in compliance with the UML-based design ideas of IEC 61970.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2011년도 정기총회 및 추계학술대회 논문집
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• pp.1397-1404
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• 2011

Metro serves more than a basic function of transporting passengers between short distances but became a crucial part of civic culture due to the fact that citizens demand various facilities for better life style. Therefore, domestic metro cuts off train noise and air dust, provides pleasant platform surroundings by offering effective HVAC, and establishes PSD (Platform Screen Door) system to prevent falls into train tracks. To control and interlock EMU Door and PSD to avoid passenger complaint and revenue service obstructions, stability and reliability of on-board & wayside equipment are required foremost and each line needs to build optimum interface between on-board & wayside equipment. To control PSD, we would like to introduce examples of Busan Metro(BTC : Busan Transportation Corporation) which already utilizes interface between on-board & wayside equipment in various ways and consider optimum interface between on-board & wayside equipment in future PSD system.

• Journal of Platform Technology
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• 제6권3호
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• pp.3-9
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• 2018

This paper describes the design and trial development of a system that supports continuous hazard mapping by local residents in their daily life. We performed an interview survey to design our system in a model traditional town in Saga Prefecture, Japan. The results show that despite continued efforts, many practical problems remain and residents feel unsafe. Considering these results, we designed and developed a unique information and communication technology-based support system that contributes to community-based disaster prevention and reduction. The continuous resident participation and posting design are the core concept for our community-based approach. Our system continues to support making a hazard map by integrating the community-based hazard information. Local residents register information (disaster types, risk level, photographs, comments, positional information) about locations that could be dangerous in a disaster. In addition, our system enables information sharing through a Web server. We expect that this information sharing will allow local hazard information for each district to be used.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제7권7호
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• pp.1569-1584
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• 2013

Ubiquitous interaction in a pervasive environment is the main attribute of smart spaces. Pervasive systems are weaving themselves in our daily life, making it possible to collect user information invisibly, in an unobtrusive manner by known and even unknown parties. Huge number of interactions between users and pervasive devices necessitate a comprehensive trust model which unifies different trust factors like context, recommendation, and history to calculate the trust level of each party precisely. Trusted computing enables effective solutions to verify the trustworthiness of computing platforms. In this paper, we elaborate Unified Trust Model (UTM) which calculates entity's trustworthiness based on history, recommendation, context and platform integrity measurement, and formally use these factors in trustworthiness calculation. We evaluate UTM behaviour by simulating in different scenario experiments using a Trust and Reputation Models Simulator for Wireless Sensor Networks. We show that UTM offers responsive behaviour and can be used effectively in the low interaction environments.