• International Journal of Knowledge Content Development & Technology
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• 제6권2호
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• pp.5-27
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• 2016

This research aims to explore the acceptance of Moodle as a teaching and learning tool by the faculty of the Department of Information Studies (IS) at Sultan Qaboos University (SQU) in the Sultanate of Oman. The researchers employed the Unified Theory of Acceptance and Use of Technology (UTAUT) to examine the effects of performance expectancy, effort expectancy, social influence and facilitating conditions on the behavioural intention of SQU faculty members to employ Moodle in their instruction. Data were collected by the interview method. Results showed the emergence of two faculty groups: one uses Moodle and one does not use Moodle. In group that uses Moodle, performance expectancy, effort expectancy, social influence, facilitating conditions and behavioural intention are positively related, thereby influencing the faculty members' use behavior. In addition to the aforementioned UTAUT constructs, four additional factors affect Moodle's adoption. These moderators are gender, age, experience and the voluntariness of use, amongst which gender exhibits the least influence on Moodle adoption. That is, male and female faculty generally both use the learning platform. Although some members of the group that does not use Moodle exhibit optimistic performance expectancy for technology, the overall perception in this regard for Moodle is negative. The other UTAUT constructs exert no influence on this group's adoption of the learning platform.

• 지식경영연구
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• 제23권2호
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• pp.61-82
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• 2022

메타버스는 Meta(초월)와 Universe(현실세계)의 합성어로 사용자 혹은 아바타가 사회, 경제, 문화적 활동을 하는 세계를 말한다. 본 연구는 Acceleration Studies Foundation(ASF)가 제시한 4가지 세계관(증강현실, 라이프로깅, 미러월드, 가상세계)에 대하여 고객 경험 촉진 요인인 SPICE의 5가지 평가요소를 기준으로 상호 비교해보고자 하였다. 227개의 표본을 분석에 사용하였으며 그 결과 증강현실에서는 연속성, 라이프로깅에서는 상호운영성, 거울세계에서는 실재감, 가상현실에서는 동시성이 가장 높은 것으로 나타났다. 본 연구는 메타버스 플랫폼 분류와 세계관에 따른 모형 설계 방안을 제시하고, 기존 메타버스 플랫폼 운영자 또는 신규 진입자에게는 이에 따른 세부적인 전략적 방향성을 제시한다는 점에서 의의가 있다.

• 디지털콘텐츠학회 논문지
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• 제18권6호
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• pp.1183-1191
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• 2017

과학기술정보 서비스를 효율적으로 지원하기 위해서는 동일한 콘텐츠와 기술을 상호 공유할 수 있는 과학기술정보만의 플랫폼이 필요하다. 따라서 본 논문에서 다양한 콘텐츠 및 기술을 공통의 활용 요소로 사용할 수 있는 플랫폼을 설계함으로써 신속하고 효율적인 서비스를 지원하고자 한다. 더불어 과학기술 데이터와 기술들을 용도에 따라 활용할 수 있는 플랫폼 환경 체제에서의 다양한 API 활용 사례를 제시하였다. 이를 통해 각종 콘텐츠와 기술들은 플랫폼 상에서 API Gateway를 통해 상호작용하고 식별된 연구자, 기관, 용어 데이터를 중심으로 과학기술콘텐츠를 융합할 수 있을 것이다.

• 한국전자거래학회지
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• 제24권1호
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• pp.29-48
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• 2019

최근 기업 간 기술격차 해소로 사용경험 개선을 위한 제품 디자인 혁신이 기업 경쟁력의 핵심 요소로 인식되고 있으나 국내 중소 중견 기업들의 사용경험 평가 지원을 위한 서비스 시스템 개발은 미흡한 실정이다. 본 연구는 국내 중소 중견 제조기업의 차별적인 제품 설계를 지원하기 위한 사용자 관점의 웹 기반 제품 사용경험 인증 평가 시스템 개발을 목표로 한다. 사용자 중심의 웹기반 시스템의 인터페이스 설계를 위해 사용자의 기능적 요구사항을 파악한 후, 이를 바탕으로 사용자 중심의 워크플로우 분석, 사용자별 태스크 정의, 사용자 니즈를 고려한 기능 정의를 수행 하였으며 최종적으로 주요 메뉴를 구성해 시스템을 설계하였다. 본 연구를 통해 개발된 사용경험 인증 평가 시스템은 사용자별 인터랙션을 고려해 설계되었으며, 특히 평가 효율화 데이터베이스를 통해 일정 수준 이상의 사용경험 평가 프로세스 수행을 지원하고, 지식 데이터베이스를 제공하여 평가 설계 및 제품 개선에 활용할 수 있도록 하였다. 본 연구를 통해 개발된 서비스 플랫폼은 사용경험 평가를 수행하는 컨설팅업체와 사용경험 평가에 어려움을 겪고 있는 중소 중견기업을 연결함으로써 기업의 실질적 사용경험 평가를 지원하고 자체적인 제품 개발 역량 제고에 기여할 수 있을 것으로 기대된다.

• 유통과학연구
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• 제14권1호
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• pp.39-49
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• 2016

Purpose - Considering industrialization development stages, an economic effect of ASEAN free trade agreement (FTA) on foreign direct investment (FDI) flows into the ASEAN countries was analyzed. Research design, data, and methodology - utilizing macro-level panel data from 2001 to 2012, panel regression analysis was conducted with a model constructed based on the knowledge-capital model. Results - As for overall ASEAN countries, ASEAN FTA was positively effective to attract vertical FDI to this region, while horizontal FDI was dominant before ASEAN FTA. Meanwhile, for the diversified economy relevant to Singapore, ASEAN FTA was not effective to attract FDI. For the ongoing industrialization economy relevant to Thailand, Malaysia, and the Philippines, ASEAN FTA was negatively effective to attract FDI; ASEAN FTA became a strong incentive to replace foreign investments with trade transactions for the horizontal firms, but an influence of market potentials after ASEAN FTA, which induces to third-country effects such as export platform FDI, has increased. For the incipient industrialization economy relevant to Indonesia, Vietnam, and Cambodia, ASEAN FTA was positively effective to attract vertical FDI. Conclusions - The effectiveness of FTA on FDI inflows varied considerably by the industrialization development stages of host countries.

• Genomics & Informatics
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• 제2권3호
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• pp.142-146
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• 2004

Biological data and analysis tools are accumulated in distributed databases and web servers. For this reason, biologists who want to find information from the web should be aware of the various kinds of resources where it is located and how it is retrieved. Integrating the data from heterogeneous biological resources will enable biologists to discover new knowledge across the specific domain boundaries from sequences to expression, structure, and pathway. And inevitably biological databases contain noisy data. Therefore, consensus among databases will confirm the reliability of its contents. We have developed WeSAT that integrates distributed and heterogeneous biological databases and analysis tools, providing through Web Services protocols. In WeSAT, biologists are retrieved specific entries in SWISS-PROT/EMBL, PDB, and KEGG, which have annotated information about sequence, structure, and pathway. And further analysis is carried by integrated services for example homology search and multiple alignments. WeSAT makes it possible to retrieve real time updated data and analysis from the scattered databases in a single platform through Web Services.

• Journal of Platform Technology
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• 제11권1호
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• pp.72-84
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• 2023

With the rise of the Internet of Things, the security of such lightweight computing environments has become a hot topic. Lightweight block ciphers that can provide efficient performance and security by having a relatively simpler structure and smaller key and block sizes are drawing attention. Due to these characteristics, they can become a target for new attack techniques. One of the new cryptanalytic attacks that have been attracting interest is Neural cryptanalysis, which is a cryptanalytic technique based on neural networks. It showed interesting results with better results than the conventional cryptanalysis method without a great amount of time and cryptographic knowledge. The first work that showed good results was carried out by Aron Gohr in CRYPTO'19, the attack was conducted on the lightweight block cipher SPECK-/32/64 and showed better results than conventional differential cryptanalysis. In this paper, we first apply the Differential Neural Distinguisher proposed by Aron Gohr to the block ciphers HIGHT and GOST to test the applicability of the attack to ciphers with different structures. The performance of the Differential Neural Distinguisher is then analyzed by replacing the neural network attack model with five different models (Multi-Layer Perceptron, AlexNet, ResNext, SE-ResNet, SE-ResNext). We then propose a Related-key Neural Distinguisher and apply it to the SPECK-/32/64, HIGHT, and GOST block ciphers. The proposed Related-key Neural Distinguisher was constructed using the relationship between keys, and this made it possible to distinguish more rounds than the differential distinguisher.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.849-851
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• 2003

A location-based service or LBS in a cellular telephone network is a service provided to the subscriber based on his current geographic location. This position can be known by user entry or a GPS receiver that he carries with him, but most often the term implies the use of a function built into the cell network that uses the known geographic coordinates of the base stations through which the communication takes place. One implication is that knowledge of the coordinates is owned and controlled by the network operator, and not by the end user. Location utility service provides two kinds of functions, geocoder and reverse geocoder. Geocoder converts an address into a coordinate and reverse geocoder changes a coordinate into an address. Because location utility service is the first step to progress LBS, various servises such as directory, routing, presentation, and etc require to access that. In this paper, we will describe the architecture of LBS platform and the concept and the role of location utility service.

• Journal of Astronomy and Space Sciences
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• 제34권2호
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• pp.153-159
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• 2017

The Standard Model of particle physics was established after discovery of the Higgs boson. However, little is known about dark matter, which has mass and constitutes approximately five times the number of standard model particles in space. The cross-section of dark matter is much smaller than that of the existing Standard Model, and the range of the predicted mass is wide, from a few eV to several PeV. Therefore, massive amounts of astronomical, accelerator, and simulation data are required to study dark matter, and efficient processing of these data is vital. Computational science, which can combine experiments, theory, and simulation, is thus necessary for dark matter research. A computational science and deep learning-based dark matter research platform is suggested for enhanced coverage and sharing of data. Such an approach can efficiently add to our existing knowledge on the mystery of dark matter.

• International Journal of Internet, Broadcasting and Communication
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• 제14권3호
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• pp.222-229
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• 2022

Through this technology development, companies that operate online shopping malls and prospective startups will support education, consulting and expert group matching so that they can solve various issues that may arise in the course of the entire business life cycle, from startups to closures. It is expected that differentiated consulting programs will be designed for companies that currently operate shopping malls and start ups, and customized consulting programs will be provided to improve the effectiveness of consulting while improving customer satisfaction. It is planning to develop a "successful start-up and operation helper" that helps successful start-ups. It is a system that primarily diagnoses problems of prospective entrepreneurs and operators through an automation system at the start-up and operation stage, and professional consultants participate to derive and solve problems, and takes care of all stages of shopping mall birth and growth. In this paper Metaverse based shopping mall Creation is also discussed. Through Big Data creation these accumulated data, we intend to help operators start and operate shopping malls through accurate information by managing all knowledge of shopping malls as a system in the long run.