• 감성과학
• /
• 제12권2호
• /
• pp.215-224
• /
• 2009

본 연구에서는 사용하는 제품의 유형에 따라 표출되는 감성어휘에 차이가 있는지 알아보기 위하여 휴대폰 및 웹을 사용하는 도중에 표출되는 사용자의 감성을 측정하기에 적합한 감성어휘들을 추출하여 비교해 보았다. 본 연구의 결과를 종합해 보면, 휴대폰과 같이 하드웨어적인 특성이 강하고 사용자가 어떤 특정한 목적을 가지고 사용하는 상황이 많은 제품에 대해서는 사용상황 및 태스크 수행에 직접적으로 관련된 '사용적 만족성'과 '유쾌성' 등에 관련된 감성어휘가 많이 추출되었고, 제품의 외관이나 다양한 시각정보에 의해 표출된 '심미성'과 참신하고 새로운 것에 의해 표출된 '신규성'에 관련된 감성어휘는 다수가 제외되었음을 발견할 수 있었다. 반면에 웹과 같이 소프트웨어적인 특성이 강하고 사용자들이 특정한 목적의 태스크를 수행해야 하는 상황보다는 뭔가 새로운 정보를 찾거나 보다 우수한 것을 찾기 위하여 사용하는 제품의 경우에는 '신규성'과 같이 직접적인 사용에 관련된 것보다는 시각적이고 새로운 정보에 관련된 감성어휘가 많이 추출됨을 알 수 있었다. 따라서 본 연구의 결과는 해당 제품의 특성과 사용목적에 적합한 감성어휘를 중심으로 제품의 유형에 따라 구분하여 각각의 제품에 적합한 주관적 평가스케일을 도출하는 것이 바람직하다는 것을 반증해 준다고 할 수 있다.

• Toxicological Research
• /
• 제32권3호
• /
• pp.259-267
• /
• 2016

Animal testing was used traditionally in the cosmetics industry to confirm product safety, but has begun to be banned; alternative methods to replace animal experiments are either in development, or are being validated, worldwide. Research data related to test substances are critical for developing novel alternative tests. Moreover, safety information on cosmetic materials has neither been collected in a database nor shared among researchers. Therefore, it is imperative to build and share a database of safety information on toxicological mechanisms and pathways collected through in vivo, in vitro, and in silico methods. We developed the CAMSEC database (named after the research team; the Consortium of Alternative Methods for Safety Evaluation of Cosmetics) to fulfill this purpose. On the same website, our aim is to provide updates on current alternative research methods in Korea. The database will not be used directly to conduct safety evaluations, but researchers or regulatory individuals can use it to facilitate their work in formulating safety evaluations for cosmetic materials. We hope this database will help establish new alternative research methods to conduct efficient safety evaluations of cosmetic materials.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제8권3호
• /
• pp.1071-1092
• /
• 2014

Annotating images with tags that describe the content of the images facilitates image retrieval. However, this task is challenging for both humans and computers. In response, a new approach has been proposed that converts the manual image annotation task into CAPTCHA challenges. However, this approach has not been widely used because of its weak security and the fact that it can be applied only to annotate for a specific type of attribute clearly separated into mutually exclusive categories (e.g., gender). In this paper, we propose a novel image annotation CAPTCHA scheme, which can successfully differentiate between humans and computers, annotate image content difficult to separate into mutually exclusive categories, and generate verified test images difficult for computers to identify but easy for humans. To test its feasibility, we applied our scheme to annotate images of human faces with their age groups and conducted user studies. The results showed that our proposed system, called AgeCAPTCHA, annotated images of human faces with high reliability, yet the process was completed by the subjects quickly and accurately enough for practical use. As a result, we have not only verified the effectiveness of our scheme but also increased the applicability of image annotation CAPTCHAs.

• Spatial Information Research
• /
• 제15권4호
• /
• pp.385-395
• /
• 2007

컴퓨터의 사용과 인터넷이 발달로 인해 데이터의 사용과 공유가 매우 증가하고 있으며, 그에 따라 불법적인 데이터의 보급도 발생하고 있다. 본 연구에서는 이러한 불법적인 데이터의 복제 문제를 해결하기 위해 디지털 워터마킹 기법을 제안한다. 특히, GIS에서 많이 사용하고 있는 데이터인 벡터데이터에 워터마크를 삽입하고, 소유권을 주장할 수 있는 워터마킹 방법을 제안한다. 연구에서 제안한 방법은 벡터데이터의 좌표에 이진 연산을 이용하여 워터마크를 직접 삽입을 하고, 워터마크를 삽입하는 역과정을 통해 워터마크를 추출하는 것이다. 실험 결과를 통해 제안한 방법이 벡터데이터에 대한 다양한 공격에 대해 강인함을 알 수 있었다.

• 정보교육학회논문지
• /
• 제7권1호
• /
• pp.69-79
• /
• 2003

초등학교에서의 궁극적인 교육 목표는 학생의 학습과 일상생활에 필요한 기초능력의 배양과 바람직한 기본생활습관의 정착에 있으며 이를 효과적으로 지도하기 위해서는 아동에 대해 가장 영향력 있는 부모와의 협력이 절대적으로 필요하다. 본 연구에서는 학부모의 적극적인 교육 참여를 유도하고, 동반자적 협력관계를 구축하기 위한 방안으로, 자녀들의 학교생활을 학부모에게 적극적으로 안내해주기 위한 학교생활정 보안내 시스템을 설계 구현하고자 한다. 학교생활정보안내 시스템은 교사와 학부모 모두에게 아동에 대한 올바른 이해를 돕고, 나아가 당면한 문제 해결을 위한 상호 협력 관계 기반을 조성함으로써 아동의 기본생활습관을 바람직하게 정착시키는데 많은 도움이 될 수 있을 것이다.

• IEIE Transactions on Smart Processing and Computing
• /
• 제5권3호
• /
• pp.222-229
• /
• 2016

Linked Data is a powerful technology for storing and publishing the structures of data. It is helpful for web applications because of its usefulness through semantic query data. However, using Linked Data is not easy for ordinary users who lack knowledge about the structure of data or the query syntax of Linked Data. For that problem, we propose a translator component that is used for translating RESTful/JSON request messages into SPARQL commands based on ontology - a metadata that describes the structure of data. Clients do not need to worry about the structure of stored data or SPARQL, a kind of query language used for querying linked data that not many people know, when they insert a new instance or query for all instances of any specific class with those complex structure data. In addition, the translator component has the search function that can find a set of data from multiple classes based on finding the shortest paths between the target classes - the original set that user provide, and target classes- the users want to get. This translator component will be applied for any dynamic ontological structure as well as automatically generate a SPARQL command based on users' request message.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제11권6호
• /
• pp.2996-3011
• /
• 2017

With rapid growth of web technology and dissemination of smart devices, social networking service(SNS) is widely used. As a result, huge amount of data are generated from SNS such as Twitter, and sentiment analysis of SNS data is very important for various applications and services. In the existing sentiment analysis based on the $Na{\ddot{i}}ve$ Bayes algorithm, a same number of attributes is usually employed to estimate the weight of each class. Moreover, uncountable and meaningless attributes are included. This results in decreased accuracy of sentiment analysis. In this paper two methods are proposed to resolve these issues, which reflect the difference of the number of positive words and negative words in calculating the weights, and eliminate insignificant words in the feature selection step using Multinomial $Na{\ddot{i}}ve$ Bayes(MNB) algorithm. Performance comparison demonstrates that the proposed scheme significantly increases the accuracy compared to the existing Multivariate Bernoulli $Na{\ddot{i}}ve$ Bayes(BNB) algorithm and MNB scheme.

• 대한산업공학회지
• /
• 제41권4호
• /
• pp.344-351
• /
• 2015

Recently, an ERP (Enterprise resource Planning) system has been becoming an essential S/W tool for companies to manage their business processes and manufacturing resources. As the information exchange becomes more complex, not only corporate companies but also small- and mid- sized enterprises (SMEs) are required to build an ERP system. However, for small- and middle- sized companies, the adoption of ERP systems becomes challenging due to high cost and long installation time of the system. This paper presents a novel concept of an adaptive ERP system incorporating the ontology structure of the business supply chain information. The proposed ERP installation methodology is illustrated with an example of a door-trim manufacturing company in the automotive supply chain.

• 한국콘텐츠학회:학술대회논문집
• /
• 한국콘텐츠학회 2015년도 춘계 종합학술대회 논문집
• /
• pp.15-16
• /
• 2015

Measuring sensor, equipment, ICT facilities and their software have relatively short life time comparing to constructional structure so that we should exchange or fix them continuously in the process of maintenance and management. In this paper, we propose a novel design of integrated maintenance, management, and measuring monitoring system applying the concept of mobile cloud. For the sake of disaster prevention for constructional structures such as bridge, tunnel, and other traditional buildings in the village of local heritage, we analyze status of these structures in the long term or short term period as well as disaster situations. Collecting data based on mobile cloud and analyzing future expectations based on probabilistic and statistical techniques, we implement our integrated monitoring system for constructional structures to solve these existing problems. Final results of this design and implementation are basically applied to the monitoring system for more than 10,000 structures spread over national land in Korea. In addition, we can specifically apply the monitoring system presented here to a bridge of timber structure in Asan Oeam Village and a traditional house in Andong Hahoe Village to watch them from possible disasters. Total procedure of system design and implementation as well as development of the platform LinkSaaS and application services of monitoring functions implemented on the platform. We prove a good performance of our system by fulfilling TTA authentication test, web accommodation test, and operation test using real measuring data.

• International Journal of Contents
• /
• 제4권2호
• /
• pp.19-23
• /
• 2008

This paper presents a novel method to construct a personalized e-Learning system based on dynamic estimations of item parameters and learners' abilities, where the learning content objects are of the same intrinsic quality or homogeneously distributed and the estimations are carried out using IRT(Item Response Theory). The system dynamically connects the test and the corresponding learning procedures. Test results are directly applied to estimate examinee's ability and are used to modify the item parameters and the difficulties of learning content objects during the learning procedure is being operated. We define the learning unit 'Node' as an amount of learning objects operated so that new parameters can be re-estimated. There are various content objects in a Node and the parameters estimated at the end of current Node are directly applied to the next Node. We offer the most appropriate learning Node for a person's ability throughout the estimation processes of IRT. As a result, this scheme improves learning efficiency in web-base e-Learning environments offering the most appropriate learning objects and items to the individual students according to their estimated abilities. This scheme can be applied to any e-Learning subject having homogeneous learning objects and unidimensional test items. In order to construct the system, we present an operation scenario using the proposed system architecture with the essential databases and agents.