• Proceedings of the Korea Information Processing Society Conference
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• 2012.04a
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• pp.1421-1423
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• 2012

온실가스 저감에 필요한 기술에는 온실가스 배출량 관리를 비롯하여 배출권 할당, 인증, 거래, 분석, 계획 등의 기술들이 있다. 본 논문은 유통 물류 부문 기업 들이 배출하는 온실가스를 체계적으로 관리 하기 위해 필요한 온실가스 관리 시스템 구현에 관한 연구로서 온실가스 벤토리를 포함한 통합관리 시스템 구현에 대해 설명하고 있다. 구현된 온실가스 관리 시스템은 최신의 웹어플리케이션 개발 방법론에 따라 기능 및 서비스를 SaaS 방식으로 제공할 수 있도록 설계 되었다. 기능별로 서비스 관리와 사용자 관리 그리고 온실가스 인벤토리 기능으로 나누었으며 유통 물류 분야에 적합하도록 데이터 수집에 있어서 편리성을 제공하도록 설계하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.11a
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• pp.184-187
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• 2013

클라우드 컴퓨팅 기술로 인한 정보기술 영역의 파라다임의 변혁에 따라서, 다양한 산업의 기업들이 운영비용 및 투자비용 절감효과를 목적으로 클라우드 컴퓨팅을 도입하며 성공 사례를 논의하고 있으나, 기업의 프로세스 개선을 위하여 클라우드 서비스를 이용하는 접근방법은 아직 국내 사례에서는 부족하다. 본 논문에서는 클라우드 서비스를 관리하는 CSB(Cloud Service Brokerage) 플랫폼에서 서비스의 Orchestration을 지원하는 SOA(Service Oriented Architecture)의 WS-BPEL 기술을 적용하여 프로세스 자동화를 구축할 수 있는 아키텍처를 제시하였다. 클라우드의 SaaS 도입 시 어플리케이션뿐만 아니라, 인프라 서비스를 이용하는 IaaS 적용과 다른 프로세스와의 호환과 연동 작업을 구축하는 PaaS를 같이 적용함으로써 비즈니스 프로세스의 가치 향상이 가능하도록 본 논문에서는 클라우드 서비스 브로커 도입에 대한 시스템 아키텍처를 제안한다.

• International Journal of Computer Science & Network Security
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• v.22 no.2
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• pp.290-296
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• 2022

Big Data is a data analysis technology empowered by late advances in innovations and engineering. In any case, big data involves a colossal responsibility of equipment and handling assets, making reception expenses of big data innovation restrictive to little and medium estimated organizations. Cloud computing offers the guarantee of big data execution to little and medium measured organizations. Big Data preparing is performed through a programming worldview known as MapReduce. Normally, execution of the MapReduce worldview requires organized joined stockpiling and equal preparing. The computing needs of MapReduce writing computer programs are frequently past what little and medium measured business can submit. Cloud computing is on-request network admittance to computing assets, given by an external element. Normal arrangement models for cloud computing incorporate platform as a service (PaaS), software as a service (SaaS), framework as a service (IaaS), and equipment as a service (HaaS).

• Information Systems Review
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• v.15 no.3
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• pp.129-139
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• 2013

The Internet of Things (or IoT for short) which refers to uniquely identifiable objects and their virtual representations in an Internet-like structure is to be reality today. The amount of data on IoT is expected to increase abruptly and there are several key issues like usefulness interoperability between multiple distributes systems, services and databases. In this paper a methodology is proposed to realize a recently developed cloud service model, Contents as a Service (CaaS), which is contents delivery model referred to as 'on-demand contents'. In the proposed method, the global object identification, ePosition, comprising the structured form of two sorts of text strings with a separation symbol like # is applied to identify a specific content and registered with the content at the same server. It is easy-to-realize and effective to solve the interoperability problem systematically and logically. Some APIs for the proposed CaaS service are to be converged to provide some upgraded cloud service model such as 'CaaS supported SaaS' and 'CaaS supported PaaS'.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.37B no.9
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• pp.806-813
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• 2012

In a cloud computing environment, various solutions were introduced to provide the service to users such as Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS) and Desktop as a Service (DaaS). Nowadays, Mobile as a Service (MaaS) to provide the mobility in a cloud environment. In other words, users must have access to data and applications even when they are moving. Thus, to support the mobility to a mobile Thin-Client is the key factor. Related works to support the mobility for mobile devices were Mobile IPv6 and Proxy Mobile IPv6 which showed performance drawbacks such as packet loss during hand-over which could be very critical when collaborating with cloud computing environment. The proposed model in this paper deploys middleware and replica servers to support the data transmission among cloud and PMIPv6 domain. It supports efficient mobility during high-speed movement as well as high-density of mobile nodes in local mobility anchor. In this paper, through performance evaluation, the proposed scheme shows the cost comparison between previous PMIPv6 and verifies its significant efficiency.

• Food Science of Animal Resources
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• v.26 no.3
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• pp.349-355
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• 2006

A total of 120 pigs (Berkshire) were used to investigate the effect of dietary supplementation with artificial culture medium ot wild ginseng (CMWG) on the fatty acid composition, amino acid composition and sensory characteristics or pork About $60{\pm}3kg$ pigs were randomly assigned to one of four experimental diet groups[(both sexes)${\times}$(C: commercial diet feed; T: commercial diet+1 L CMWG per day for 70 days)]. Pigs were slaughtered at approximately 110 kg live weight, and fatty acid composition, amino acid composition and sensory characteristics were measured in pork loin. The monounsaturated and saturated fatty acid contents was greater in barrow fed a diet containing CMWG than those of the gilt pork and control groups, however the polyunsaturated fatty acid composition decreased. The EAA (essential amino acid) content was lower in pigs fed diets containing CMWG than that of the control groups, whereas the SAA (amino acid with sulfide) and FRAA (fragrant amino acid) contents were higher. The EAA and FAA (amino acid in relation to flavor) contents were lower for harrow than for gilt, however the SAAA (amino acid in relation to saccarinity), SAA and FRAA the contents were higher. Regarding the sensory evaluation of fresh meat, the color of gilt pork increased with diets containing CMWG relative to the control group. Drip loss and the marbling score for pigs fed with diets containing CMWG were higher in barrow than in gilt. The flavor and overall acceptability of cooked meat from the control group was higher for barrow than for silt.

• Journal of Adhesion and Interface
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• v.17 no.2
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• pp.49-55
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• 2016

In this study, we designed an environment friendly, water-based adhesive using the acrylic emulsion method as a replacement for solvent-based adhesives, which are most commonly used in layered laminates for flexible food packaging. We designed adhesives with different combinations of anionic, non-ionic, and phosphoric ester surfactants, and with different concentrations of chain transfer agent (CTA). We also examined the effect of the degree of cross-linking by synthesizing and comparing 8 test group adhesives with different types of functional monomers. Additionally, we synthesized 2 other test group pressure-sensitive adhesives (PSA) using styrene/alpha-methyl styrene/acrylic acid (SAA) semipolymer dispersing agents (with molecular weights of 13,000 g/mol and 8,600 g/mol, respectively) to replace the conventional surfactants. We evaluated whether the 10 test group pressure-sensitive adhesives met the basic physical property criteria required for flexible food packaging by carrying out a physical analysis of their glass transition temperature (Tg), particle size, adhesion, and molecular weight. In our test, 2 test group adhesives manufactured with the combination of anionic and non-ionic surfactants, CTA concentration of 0.2%, and functional monomers of hydroxyethyl acrylate (HEA) and glycidyl methacrylate (GMA) demonstrated molecular weight and flexibility suitable for flexible packaging, with low adhesiveness and small particle size.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.32 no.5
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• pp.1019-1034
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• 2022

Malware attacks become more prevalent in the hyper-connected society of the 4th industrial revolution. To respond to such malware, automation of malware detection using artificial intelligence technology is attracting attention as a new alternative. However, using artificial intelligence without collateral for its reliability poses greater risks and side effects. The EU and the United States are seeking ways to secure the reliability of artificial intelligence, and the government announced a reliable strategy for realizing artificial intelligence in 2021. The government's AI reliability has five attributes: Safety, Explainability, Transparency, Robustness and Fairness. We develop four elements of safety, explainable, transparent, and fairness, excluding robustness in the malware detection model. In particular, we demonstrated stable generalization performance, which is model accuracy, through the verification of external agencies, and developed focusing on explainability including transparency. The artificial intelligence model, of which learning is determined by changing data, requires life cycle management. As a result, demand for the MLops framework is increasing, which integrates data, model development, and service operations. EXE-executable malware and documented malware response services become data collector as well as service operation at the same time, and connect with data pipelines which obtain information for labeling and purification through external APIs. We have facilitated other security service associations or infrastructure scaling using cloud SaaS and standard APIs.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.430-432
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• 2022

With the recent increase in interest in the open science movement in science and technology fields such as open access, open data, and open source, the movement to share and utilize publicly funded research products is materializing and revitalizing. In line with this trend, many efforts are being made to establish and revitalize a system for sharing and utilizing research data, which is a key resource for research in Korea. These efforts are mainly focused on collecting research data by field and institution, and linking it with DataON, a national research data platform, to search and utilize it. However, developed countries are building a system that can share and utilize not only such research data but also various types of R&D-related computing resources such as IaaS, PaaS, SaaS, and MLaaS. EOSC (European Open Science Cloud), ARDC (Australian Research Data Commons), and CSTCloud (China S&T Cloud) are representative examples. In Korea, the Korea Research Data Commons (KRDC) is designed and a core framework is being developed to facilitate the sharing of these computing resources. In this study, the necessity, concept, composition, and future plans of KRDC are introduced.

• Journal of the Korea Society of Computer and Information
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• v.28 no.12
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• pp.147-153
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• 2023

As it spreads to all industries of artificial intelligence technology, AIaaS equipped with artificial intelligence services is emerging. In particular, non-IT companies are suffering from the absence of software experts, difficulties in training big data models, and difficulties in collecting and analyzing various types of data. AIaaS makes it easier and more economical for users to build a system by providing various IT resources necessary for artificial intelligence software development as well as functions necessary for artificial intelligence software in the form of a service. Therefore, the supply and demand for such cloud-based AIaaS services will increase rapidly. However, the quality of services provided by AIaaS becomes an important factor in what is required as the supply and demand for AIaaS increases. However, research on a comprehensive and practical quality evaluation metric to measure this is currently insufficient. Therefore, in this paper, we develop and propose a usability, replacement, scalability, and publicity metric, which are the four metrics necessary for measuring reusability, based on implementation, convenience, efficiency, and accessibility, which are characteristics of AIaaS, for reusability evaluation among the service quality measurement factors of AIaaS. The proposed metrics can be used as a tool to predict how much services provided by AIaaS can be reused for potential users in the future.