• Transactions of the Korean Society of Mechanical Engineers A
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• v.37 no.11
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• pp.1323-1330
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• 2013

A wheel loader is a type of construction machinery that is capable of performing a variety of tasks, and demands on its functional diversity and structural reliability are growing. A wheel bearing is one of the core components that determine the life of the loader; taper roller bearings are commonly used for this purpose. The lifetime of a bearing is typically calculated based only on its load and revolution speed. The initial preload of a taper roller bearing is a critical factor that directly affects its endurance life. In this study, the relations between the endurance life and preload characteristics including the amount of preload according to the weight, rotational speed, and thermal modification applied to tapered roller bearings are presented. When the temperature is $100^{\circ}C$, an excessive preload condition is expected compared with that at room temperature, and the durable life decreases by 20.3 %.

• Journal of KIISE:Software and Applications
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• v.33 no.8
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• pp.703-717
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• 2006

The Semantic Web has the objective of developing universal media in which machine-processable semantic information can be represented and shared, and it is therefore important to distribute ontologies that represent this kind of semantic information to the Web and make them available to multiple parties. However, the current ontology authoring tools are not operating on the Web, which makes it difficult to distribute ontologies directly to the Web and to create and edit them collaboratively with other people. This paper proposes a framework that facilitates the ontology construction and sharing, realizing easy distribution of ontologies to the Web. Wiki is one of the frameworks for collaborative construction and sharing of knowledge on the Web, and Wiki contents consist of natural language texts and simple markup language for visualization. For better collaboration in creating and sharing ontologies, this paper suggests the Semantic Wiki that embodies the Semantic Web features to the existing Wiki system. The Semantic Wiki framework facilitates the collaboration in ontology co-authoring and sharing for people, and at the same time, makes it possible for the agent software to easily manage the ontology information. Eventually, the Semantic Wiki system accomplishes various tasks including the semantic view, the semantic navigation, and the semantic query.

• Korean Business Review
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• v.14
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• pp.211-235
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• 2001

The level and motivational basis of consumer involvement have been recognized as having important effects on purchase behavior. To explore the importance of hedonic aspects of involvement upon consumer purchase behavior, survey data on involvement degree and type concerning 8 product classes from 388 respondents was analyzed. Major findings of this study are summarized as follow. First of all, hedonic factor is evidenced as an important component of consumer involvement. In addition, hedonic dimension of involvement is proved to have significant effects on consumer purchase behavior in general. Secondly, analysis of the difference in behavioral tendencies between purchasing product with hedonic value(coffee) and utilitarian motive(washing machine) shows that consumers have relatively high in degree of brand differentiation, brand commitment, product knowledge in purchasing product with hedonic value. This means that hedonic aspect of product and thus hedonic involvement has not less important in predicting consumer behavior. Finally, several interactive effects, which suppot to and conflict against the previous research findings, between level and type of involvement upon purchase behaviors are detacted. This implies that hedonically induced involvement has moderating roles in the effects of consumer involvement on purchase behavior.

• Korean Business Review
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• v.11
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• pp.101-122
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• 1998

This study is to analyze the effect of product involvement on consumer purchase process. From review on previous involvement literatures, enduring product involvement can be defined as "a person's arousal and motivational state activated by product on the basis of his basic value, objective and ego-relevance." To evaluate the effect of involvement on product purchase process, 11 hyphotheses concerning behavioral aspects which is expected to comprise consumer purchase process and to be influenced by degree of involvement were constructed: prepurchase information search, alternative brand comparision, utilization of product attribute, brand differentiation, brand commitment, product knowledge, influence of reference group, dependence on price, price awareness, cognitive dissonance and purchase optimization. Hyphotheses are tested with data from 388 housewives through 20 item involvement scale developed with multi-dimensional perspective on involvement. The scale successfully provides rank order of 8 selected products expected to cover the spectrum of product involvement: formal clothes, coffee, washing machine, shampoo, perfume, detergent, soft drink, pain-reliever as the order of product involvement. Major findings of this study are as follow. First of all, incresed differences were found in hihg involvement product like formal clothes with respect to the degree of prepurchase information search, alternative brand comparision, utilization of product attribute, influence of reference group in any method of analysis. Secondly, invlovement should be interpreted as a consumer characteristic rather than a product one. This means that consumers involve themselves with products, instead products themselves do not have any involvement.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.47 no.4
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• pp.7-14
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• 2010

Stable-state behaviors of asynchronous sequential machines represented as finite state machines can be corrected by feedback control schemes. In this paper, we propose a state feedback control scheme for input/state asynchronous machines with uncertain transitions. The considered asynchronous machine is deterministic, but its state transition function is partially known due to model uncertainty or inner logic errors. The control objective is to compensate the behavior of the closed-loop system so that it matches a sub-behavior of a prescribed model despite uncertain transitions. Furthermore, during the execution of corrective action, the controller reflects the exact knowledge of transitions into the next step, i.e., the range of the behavior of the closed-loop system can be enlarged through learning. The design procedure for the proposed controller is described in a case study.

• The Journal of the Korea institute of electronic communication sciences
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• v.7 no.6
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• pp.1259-1273
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• 2012

As a society of knowledge and information has been developed rapidly, because of changing from web environment to ubiquitous environment, a lot of countries across the world as well as S. Korea for national information with electronic Government have a variety of changes with big data. So this study is about development for national information and e-government of S. Korea with public data as big data analysed by the application of scenario planning. And then this research focused on the strategy consulting of national information with e-Government of S. Korea for utilization of public data as big data analysed by the application of 'scenario planning' as a foresight method. As a result, the future policy for utilization of public data as big data for national information with electronic government of S. Korea is to further spur the development of technology for linked data with semantic web for 'understanding of machine' than 'understanding of man'.

• Convergence Security Journal
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• v.14 no.1
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• pp.71-76
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• 2014

In modern society, a social economic change is brought about, because time space limitation regarded to be restrictive in times past was overcome owing to its rapid development on the basis of IT technology. The creation of new knowledge became the basis of competitiveness of nations and companies. As competition intensifies among nations and countries in relation to the development of core technology, companies make investment with placing much weight on the development of new technology, but on the other hand, technology leakage incident continuously occurs due to a lack of understanding to protect technology. This is the largest cause of impeding the competitiveness of nations and companies. And now, it is urgent to take security measures against this. Therefore, this paper analyzes institution and system weakness in the physical security area in the integrated security environment, and then identifies all problems about this, and proposes a plan for solving these.

• Journal of Information Science Theory and Practice
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• v.7 no.4
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• pp.33-44
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• 2019

Altmetrics measure the frequency of references about an article on social media platforms, like Twitter. This paper studies a variety of factors that affect the popularity of articles (i.e., the number of article mentions) in the field of psychology on Twitter. Firstly, in this study, we classify Twitter users mentioning research articles as academic versus non-academic users and experts versus non-experts, using a machine learning approach. Then we build a negative binomial regression model with the number of Twitter mentions of an article as a dependant variable, and nine Twitter related factors (the number of followers, number of friends, number of status, number of lists, number of favourites, number of retweets, number of likes, ratio of academic users, and ratio of expert users) and seven article related factors (the number of authors, title length, abstract length, abstract readability, number of institutions, citation count, and availability of research funding) as independent variables. From our findings, if a research article is mentioned by Twitter users with a greater number of friends, status, favourites, and lists, by tweets with a large number of retweets and likes, and largely by Twitter users with academic and expertise knowledge on the field of psychology, the article gains more Twitter mentions. In addition, articles with a greater number of authors, title length, abstract length, and citation count, and articles with research funding get more attention from Twitter users.

• The KIPS Transactions:PartB
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• v.13B no.2 s.105
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• pp.139-148
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• 2006

In the collaborative product design environment, the communication between designers is important to capture design intents and to share a common view among the different but semantically similar terms. The Semantic Web supports integrated and uniform access to information sources and services as well as intelligent applications by the explicit representation of the semantics buried in ontology. Ontologies provide a source of shared and precisely defined terms that can be used to describe web resources and improve their accessibility to automated processes. Therefore, employing ontologies on assembly modeling makes assembly knowledge accurate and machine interpretable. In this paper, we propose a framework of semantic assembly modeling using ontologies to share design information. An assembly modeling ontology plays as a formal, explicit specification of a shared conceptualization of assembly design modeling. In this paper, implicit assembly constraints are explicitly represented using OWL (Web Ontology Language) and SWRL (Semantic Web Rule Language). The assembly ontology also captures design rationale including joint intent and spatial relationships.

• Korean Medical Education Review
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• v.18 no.2
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• pp.51-57
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• 2016

This literature review explores artificial intelligence (AI) technology trends and IBM Watson health and medical references. This study explains how healthcare will be changed by the evolution of AI technology, and also summarizes key technologies in AI, specifically the technology of IBM Watson. We look at this issue from the perspective of 'information overload,' in that medical literature doubles every three years, with approximately 700,000 new scientific articles being published every year, in addition to the explosion of patient data. Estimates are also forecasting a shortage of oncologists, with the demand expected to grow by 42%. Due to this projected shortage, physicians won't likely be able to explore the best treatment options for patients in clinical trials. This issue can be addressed by the AI Watson motivation to solve healthcare industry issues. In addition, the Watson Oncology solution is reviewed from the end user interface point of view. This study also investigates global company platform business to explain how AI and machine learning technology are expanding in the market with use cases. It emphasizes ecosystem partner business models that can support startup and venture businesses including healthcare models. Finally, we identify a need for healthcare company partnerships to be reviewed from the aspect of solution transformation. AI and Watson will change a lot in the healthcare business. This study addresses what we need to prepare for AI, Cognitive Era those are understanding of AI innovation, Cloud Platform business, the importance of data sets, and needs for further enhancement in our knowledge base.