• 정보학연구
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• 제3권1호
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• pp.45-59
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• 2000

본 연구에서는 의사결정의 유형에 따라 의사결정시 사용하는 정보에 내재된 잡음(noises)을 완화시키거나 제거할 수 있는지를 분석한다. 이러한 분석을 수행하기 위해 각 증권사가 투자 유망종목으로 추천한 한국증권거래소에 상장된 기업의 주식수익률을 의사결정성과의 대용치로 하여 분석을 수행한다. 분석결과 각 개별증권사가 추천한 개별의사결정 성과는 의사결정자의 정보분석능력의 차이로 개별의사결정자간에 상당한 차이가 있는 것으로 나타났다. 또한 개별의사결정과 개별의사결정자의 합의로 도출된 집단의사결정의 성과간에도 차이가 있어 합의의 과정에서 개별정보 속에 내재된 잡음(noises)이 제거됨을 알 수 있다. 그러나 정보능력이 뛰어난 개별의사결정자의 성과와 집단의사결정의 성과간에는 유의한 차이를 나타내지 않아 집단의사결정시 합의의 과정에서 개별의사결정정보를 평균화하는 것으로 보인다. 본 연구는 한국증권거래소에 상장된 주식수익률을 대용치로 하여 의사결정성과를 분석하였다. 따라서 우리나라 주식시장에서 투자자들이 정보를 주가에 매우 신속하고 정확하게 반영하고 있다는 것을 전제한다.

• 복식
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• 제62권2호
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• pp.13-25
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• 2012

The purpose of this research is to study the influence over confidence and Word-Of-Mouth (WOM) effect in the acceptance process of WOM by information characteristics(consensus, vividness, and message neutrality) of individual cosmetic blog, reflecting that it is widely spreading over the public. Online survey for the consumers using such blogs was performed to collect data(N=200), and credibility analysis through Cronbach-${\alpha}$ and Structural Equation Model(SEM) analysis using AMOS 18.0 were performed. The analysis results are as follows; First, vivid information and neutral message increase WOM effect through the improvement of consumers' credibility whereas information consensus doesn't positively influence over credibility. Second, the examination of a moderating effect by type of cosmetics demonstrated that the consumers of basic cosmetics have most confidence in vivid information, and those of color cosmetics do more confidence in neutral message. Therefore, there is a difference in the credibility factor of online WOM depending on the type of cosmetics consumption so that differentiated information provision strategies for cosmetics groups should be established based on it.

• 한국문헌정보학회지
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• 제50권1호
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• pp.313-330
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• 2016

A coalition of information schools, called the iSchools Organization, was established to increase the visibility of library and information science and to cope with the new demands of the digital age. As of 2015, sixty-five schools from many different countries have joined the iSchools Organization. While some other schools are interested in adopting iSchools, there are still some issues that need to be considered before adopting the iSchool charter. This paper presents those issues from the perspectives of the 5C groups: curriculum, competencies, convergence, collaboration, and consensus. A survey was conducted to investigate some aspects of the 5Cs. This study identifies five iSchool-related issues - 5Cs. Providing perspectives in the areas of the 5Cs will be useful to establish stronger iSchools. These five Cs will resolve information problems that we are facing, prepare students or any organizations for the digital age, give students digital service skills, and train future data scientists. This paper represents practical guidelines to build a strong iSchool. With the success of iSchools, societies see us as more than the traditional librarian.

• 한국조리학회지
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• 제23권3호
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• pp.50-62
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• 2017

The purpose of this study was to verify the effects of SNS WOM information characteristics on trust, purchase intention and WOM intention with regards to food products. In addition, the moderating role of social capital was also examined between SNS WOM information characteristics and trust of food products. This survey was conducted on those who used SNS from 13th to 27th on October, 2016 in Seoul and Kyonggi area, using convenience sampling method. A total of 380 responses were collected, of which 365 were used for analysis after excluding responses containing missing data. The results from this study are as follows. First, it was found that neutrality than consensus of SNS WOM information characteristics had a greater effect on the trust of food products. Second, only bonding capital was found to moderate the relationships between consensus of SNS WOM information characteristics and trust of food products. Third, trust of food products significantly impacted purchase intention and WOM intention of food products. These findings intend to propose the effective marketing strategy on the SNS to executives or marketers of food companies.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권5호
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• pp.2299-2318
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• 2019

Location-aware networks are of great importance for both civil lives and military applications. Methods based on line-of-sight (LOS) measurements suffer sever performance loss in harsh environments such as indoor scenarios, where sensors can receive both LOS and non-line-of-sight (NLOS) measurements. In this paper, we propose a data association (DA) process based on the expectation maximization (EM) algorithm, which enables us to exploit multipath components (MPCs). By setting the mapping relationship between the measurements and scatters as a latent variable, coefficients of the Gaussian mixture model are estimated. Moreover, considering the misalignment of sensor position, we propose a space-alternating generalized expectation maximization (SAGE)-based algorithms to jointly update the target localization and sensor position information. A two dimensional (2-D) circularly symmetric Gaussian distribution is employed to approximate the probability density function of the sensor's position uncertainty via the minimization of the Kullback-Leibler divergence (KLD), which enables us to calculate the expectation step with low computational complexity. Moreover, a distributed implementation is derived based on the average consensus method to improve the scalability of the proposed algorithm. Simulation results demonstrate that the proposed centralized and distributed algorithms can perform close to the Monte Carlo-based method with much lower communication overhead and computational complexity.

• 전자공학회논문지B
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• 제32B권1호
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• pp.39-49
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• 1995

Stereo vision is useful to obtain three dimensional depth information from two images taken from different view points. In this paper, we reduce searching area for correspondence by using the intra-scanline constraint, and utilize the inter-scanline constraint and the property of disparity continuity among the neighboring pixels for relaxation. Nodes with 3-D stucture are located on the axes of two views, and have matching possibility of correspondent pixels of two images. A matching is accepted if a node at the intersection of the disparity axes has the greatest matching possibility. Otherwise, the matching possibility of the node is updated by relaxation with the cooperation of neighboring nodes. Further relaxation with competition of two views is applied to a matching possibility of randomly selected node. The consensus of two views increases the confidence of matching, and removes a blurring phenomenon on the discontinuity of object. This approach has been tested with various types of image such as random dot stereogram and aerial image, and the experimental results show good matching performance.

• 한국생물정보학회:학술대회논문집
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• 한국생물정보시스템생물학회 2003년도 제2차 연례학술대회 발표논문집
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• pp.4-4
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• 2003

A large number of in-vitro experiments on the inhibition of kinases and pretenses are reported in literature, and compiled by ProLINT database. Using this powerful wealth of knowledge, we have carried our an analysis of ligand specificity of these two classes of proteins. Each of the pretenses and kinases included in the database has been assigned a consensus ligand fragment signature, based on the available information about its interaction with different ligands. A set of 43 fragments efficiently represent every ligand. We have then organized the consensus fragment signatures for every protein in form of a cluster-tree diagram. This tree is also constructed from other sequence, structure and physical considerations. Cluster-cluster comparison between these analyzes provide a valuable information about ligand specific interactions and similarities between proteins.

• 한국컴퓨터정보학회논문지
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• 제24권2호
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• pp.67-74
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• 2019

Since the announcement of bitcoin, new cryptocurrencies have been launched steadily and blockchain technology is also evolving with cryptocurrcies. In particular, security-related technologies such as consensus algorithm and hash algorithm have been improved and transaction processing speed has also been drastically improved to a level that can replace a centralized system. In addition, the advent of smart contract technology and the DApp platform also provides a means for cryptocurrency to decentralize social services beyond just payment. In this paper, we first describe the technologies for implementing cryptocurrency. And the major cryptocurrencies are described with a focus on the technical characteristics. In addition, the development of cryptocurrency technology is expanding the scope of use, so we tried to introduce various cryptocurrencies.

• Journal of Information Technology Applications and Management
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• 제16권4호
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• pp.41-58
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• 2009

This research investigated how people are influenced to adopt online review. We applied the Elaboration Likelihood Model (ELM) and the Technology Acceptance Model (TAM) to this study. Our research model highlights the assessment of online review usefulness as a mediator from online review quality to online review adoption. This research predicted online review consensus has a role to bulid up online reviw usefulness. This study also includes vividness and perceived similarity as determinants of online review quality. Survey data reflect user's perceptions of actual online review they read. Results support most of research hypotheses except hypothesis related to moderating effect of user involvement. This research offers a model for understanding online review user's acceptance. Additional theoretical and practical implications are also discussed in the paper.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2018년도 제57차 동계학술대회논문집 26권1호
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• pp.17-18
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• 2018

현재 우리나라를 비롯해 전 세계적으로 핀테크, 빅데이터, 사물 인터넷, 인공 지능, 공유 경제 등 향후 다가올 미래 세상에서의 주요 기술에 대해 전략적으로 개발 및 산업화를 추진하고 있으며 이러한 흐름을 4차 산업혁명으로 명명하고 있다. 4차 산업혁명의 근간 중에서 분산 데이터베이스의 한 형태로 지속적으로 성장하는 데이터 기록 리스트로써 분산노드의 운영자에 의한 임의 조작이 불가능하도록 고안된 블록체인의 정의와 블록체인에서 사용되는 합의 알고리즘에 대해 설명하였다.