• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.9 no.8
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• pp.845-854
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• 2019

In IoT environment, an intelligent agent is an autonomous entity with computing power that interacts with various things for specific purposes without human intervention. Recently, as the development of Internet technology has increased the size of resources and services that intelligent agents can utilize, an environment where intelligent agents can collaborate with each other is needed. To effectively support these changes, a method is needed to provide workspaces where intelligent agents can form various groups and collaborate on them. In this paper, we present TSpace which is an Ethereum-based group workspace for effective collaboration among intelligent agents. In TSpace, intelligent agents in IoT environment can use group service based on the Ethereum blockchain through the developed CoAP/RESTful web service. TSpace also introduces a new mechanism for managing Ethereum wallets of agents accessing group services and for creating Ethereum transactions using them.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.15 no.3
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• pp.77-89
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• 2005

As the ID-based public key cryptosystems become a very active research area, a number of ID-based key agreement protocols have been proposed, but unfortunately many of them were analyzed that there were some security flaws in the protocols. In addition to key agreement protocols, in recent, Liu et al. and Kim et al. proposed the key agreement protocols that multiple session keys are established at once among participated entities. In this paper, we propose an ID-based tripartite key agreement protocol that establishes 8 keys by improving the efficiency of the Liu et al's. Moreover, the proposed protocol can be used in the situation where multiple different private key generators(PKG) are involved. Therefore, because the private key issued by different PKGs belonging to each entity's domain can be used, our proposed scheme is more efficiently applicable to the practical applications.

• Knowledge Management Research
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• v.25 no.2
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• pp.1-18
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• 2024

With the increasing demand for and utilization of large language models (LLMs), the risk of user sensitive information being inputted and leaked during the use of LLMs also escalates. Typically recognized as a tool for mitigating the hallucination issues of LLMs, knowledge graphs, constructed independently from LLMs, can store and manage sensitive user information separately, thereby minimizing the potential for data breaches. This study, therefore, presents a knowledge graph-based chatbot that transforms user-inputted natural language questions into queries appropriate for the knowledge graph using LLMs, subsequently executing these queries and extracting the results. Furthermore, to evaluate the functional validity of the developed knowledge graph-based chatbot, performance tests are conducted to assess the comprehension and adaptability to existing knowledge graphs, the capability to create new entity classes, and the accessibility of LLMs to the knowledge graph content.

• Journal of Science Education
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• v.33 no.2
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• pp.336-345
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• 2009

The purpose of this study is to analysis ERF components patterns of causal questions generated during the observation of biological phenomenon. First, the system that shows pictures causing causal questions based on biological phenomenon (evoked picture system) was developed in a way of cognitive psychology. The ERF patterns of causal questions based on time-series brain processing was observed using MEG. The evoked picture system was developed by R&D method consisting of scientific education experts and researchers. Tasks were classified into animal (A), microbe (M), and plant (P) tasks according to biological species and into interaction (I), all (A), and part (P) based on the interaction between different species. According to the collaboration with MEG team in the hospital of Seoul National University, the paradigm of MEG task was developed. MEG data about the generation of scientific questions in 5 female graduate student were collected. For examining the unique characteristic of causal question, MEG ERF components were analyzed. As a result, total 100 pictures were produced by evoked picture and 4 ERF components, M1(100~130ms), M2(220~280ms), M3(320~390ms), M4(460~520ms). The present study could guide personalized teaching-learning method through the application and development of scientific question learning program.

• Journal of Plant Biotechnology
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• v.38 no.4
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• pp.293-300
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• 2011

This study is conducted to develop an efficient transformation system via particle bombardment with PLBs (Protocorm-like bodies) in Cymbidium. For this, pCAMBIA3301 vector which carries a herbicide-resistant bar gene and gus gene as a reporter gene was used for transformation with Cymbidium cultivars 'Youngflower ${\times}$ masako' line. To select transformants, proper concentration of herbicide, PPT (phosphinotricin), should be determined. As a result, 5 mg/l of PPT was selected as a proper concentration. Further, proper conditions for particle bombardment were determined to obtain a high frequency of transformation. Results showed that 1.0 ${\mu}g$ of DNA concentration, 1,100 and 1,350 psi for helium gas pressure, 1.0 ${\mu}m$ of gold particle and 6 cm of target distance showed the best result for the particle bombardment experiment. Also, pre-treatment with combination 0.2 M sorbitol and 0.2 M mannitol for 4 hrs prior to genetic transformation increased the transformation efficiency up to 2.5 times. Using transformation system developed in this study, 3.2 ~ 4.0 transgenic cymbidium plants can be produced from 100 bombarded PLBs on average. Putative transgenic plants produced in this system confirmed the presence of the bar gene by PCR analysis. Also, leaves from randomely selected five transgenic lines were applied for Basta solution (0.5% v/v) to check the resistance to the PPT herbicide. As a result, three of them showed resistance and one of them showed the strongest resistance with the maintenance of green color as non-transformed plants showed. Using this established transformation system, more genes of interests can be introduced into Cymbidium plants by genetic transformation in the future.

• Proceedings of the Korean Information Science Society Conference
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• 2005.11a
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• pp.292-294
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• 2005

현재의 비즈니스 환3은 조직의 점진적인 거대화, 조직들 간에 비즈니스 프로세스 상호운용을 통해 보다 광범위하고 복잡한 비즈니스 서비스들에 대한 처리를 요구하고 있다. 이것은 곧 워크플로우 프로세스를 워크플로우 도메인의 하나의 서비스 개체로서 인지하고, 워크플로우 프로세스와 관련되는 다양한 리소스들의 상호연계를 통해 질적으로 향상된 워크플로우 서비스를 제공하는 것이 가능해져야 함을 의미한다. 본 논문에서는 지속적으로 진화하고 있는 워크플로우 비즈니스 도메인에서 발생하는 단순 및 복합 워크플로우 서비스룰 처리하는 서비스 지향 워크플로우 관리 시스템 구현의 기반 개념이 될 워크플로우 서비스 트랜잭션 처리 메커니즘에 대해 기술하고자 한다.

• Journal of Institute of Control, Robotics and Systems
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• v.18 no.7
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• pp.658-663
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• 2012

An accurate outdoor localization method using line/arc features is suggested for mobile robots with LRFs (Laser Range Finders) and odometry. Localization is a key process for outdoor mobile robots which are used for autonomous navigation, exploration and so on. In this paper, an accurate pose correction algorithm is proposed for mobile robots using LRFs, which use three feature types: line, circle, and arc. Using this method we can reduce the number of singular cases that robots couldn't find their pose. Finally we have got simulation results to validate the proposed algorithm.

• 제어로봇시스템학회:학술대회논문집
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• 1997.10a
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• pp.608-611
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• 1997

The soccer robot system consists of multi agents, with highly coordinated operation and movements so as to fulfill specific objectives, even under adverse situation. The coordination of the multi-agents is associated with a lot of supplementary work in advance. The associated issues are the position correction, prevention of communication congestion, local information sensing in addition to the need for imitating the human-like decision making. A control structure for soccer robot is designed and several behaviors and actions for a soccer robot are proposed. Variable zone defense as a basic strategy and several special strategies for fouls are applied to SOTY2 team.

• Journal of the Korean Society for Library and Information Science
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• v.38 no.3
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• pp.5-21
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• 2004

FRBR, as is new conceptual model of bibliography based on entity-relation model, direct to revision of AACR. OCLC and other bibliographic utility develop algorithm that cluster relative bibliographic records automatically, which were derived from one original work, and web-based prototype for FRBR browsing. But the state of domestic research level stay at conceptual reconsideration of FRBR model.7his study focused on analyzing FRBR algorithm and application of KORMARC database.

• Review of KIISC
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• v.21 no.5
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• pp.12-20
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• 2011

개인정보보호법이 전면적인 법 시행을 앞두고 있고 지금까지 규제대상이 아니던 기업 종업원의 개인정보는 물론, 종이 문서형태의 개인정보까지를 규제대상으로 삼고 있어 개인정보보호 시장이 크게 확대될 것으로 전망된다. 규제범위도 정보통신, 교육, 의료, 금융 분야까지 다루고 있어서, 정부/공공기관 및 민간기업의 철저한 사전준비가 필요한 시점이다. 개인의 프라이버시 보호에 대한 이러한 발전추세에는 국내외 표준화가구를 통한 활발한 표준화작업이 밑바탕이 되고 있으며, 특히 미국, 영국, 독일, 일본, 한국 등의 나라를 중심으로 국제표준화를 활발히 추진하고 있다[1]. 표준화의 분야에는 개체의 신분확인을 위한 표준, 개인식별정보와 바이오인식 정보가 같이 사용되는 상황에서 이들의 바이오인식 프라이버시 및 보안요구조건을 위한 표준, 프라이버시 프레임워크, 프레임워크 기반 구현을 위한 프라이버시 레퍼런스 아키텍쳐 등 다양한 표준화 분야가 있다. 본 논문에서는 프라이버시 표준화를 위한 국외 표준화 동향을 소개하고, 향후 추진해야할 중점 표준화 항목을 도출한다.