• The KIPS Transactions:PartB
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• v.18B no.2
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• pp.83-86
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• 2011

In this paper, we present the plan execution model for dynamic mobile computing environments, and then introduce the smart script system developed on these base models. The smart script system includes the smart script language, in which the task knowledge of a mobile personal assistant is represented, and the script execution engine, by which the scripts are dynamically executed in response to the given task goal and the environmental changes. In order to evaluate the utility and the performance of our system, we implement an application service called Smart Reservation and conduct some experiments.

• Korean Management Science Review
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• v.17 no.3
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• pp.19-30
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• 2000

Customization and personalization services are considered as a critical success factor to be a successful Internet store or web service provider. As a representative personalization technique, personalized recommendation techniques are studied and commercialized to suggest products or services to a customer of Internet storefronts based on demographics of the customer or based on an analysis of the past purchasing behavior of the customer. The underlining theories of recommendation techniques are statistics, data mining, artificial intelligence, and/or rule-based matching. In the rule-based approach for personalized recommendation, marketing rules for personalization are usually collected from marketing experts and are used to inference with customers data. however, it is difficult to extract marketing rules from marketing experts, and also difficult to validate and to maintain the constructed knowledge base. In this paper, we proposed a marketing rule extraction technique for personalized recommendation on Internet storefronts using market basket analysis technique, a well-known data mining technique. Using marketing basket analysis technique, marketing rules for cross sales are extracted, and are used to provide personalized advertisement selection when a customer visits in an Internet store. An experiment has been performed to evaluate the effectiveness of proposed approach comparing with preference scoring approach and random selection.

• The Journal of Korea Robotics Society
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• v.2 no.4
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• pp.334-340
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• 2007

This paper introduces a prototype smart home environment that is built in the research building to demonstrate the feasibility of a robot-assisted future home environment. Localization, navigation, object recognition and handling are core functionalities that an intelligent service robot should provide. A huge amount of research effort has been made to make the service robot perform these functions with its own sensors, actuators and a knowledge base. With all complicated configuration of sensors, actuators and a database, the robot could only perform the given tasks in a predefined environment or show the limited capabilities in a natural environment. We started a smart home environment for service robots for simple service robots to provide reliable services by communicating with the environment through the wireless sensor networks. In this paper, we introduce various types of smart devices that are developed for assisting the robot in the environment by providing sensor and actuator capabilities. In addition, we present how the devices are integrated to constitute the smart home environment for service robots.

• Magazine of the Korean Society of Agricultural Engineers
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• v.45 no.7
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• pp.38-48
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• 2003

Lake water quality assessment information is useful to anyone involved in lake management, from lake owners to lake associations. It provides lake water quality criteria, which can improve the ways how to manage out lake resources and how to measure current conditions. It also provides a knowledge base so that the lakes can be protected and restored. Here, the Freshwater Lake Water Quality Management System(FLAQUM) was developed. The results of FLAQUM application by scenario proved that pollutant load at rainfall by the nonpoint sources was much more than normal times at rainfall. From the result of Scenario I (pollutant source increase case), the concentrations of Boryeong freshwater lake were BOD 9.43mg/L, T-N 4.53 mg/L and T-P 0.21 mg/L, respectively, and those values exceed the standard of agricultural water. And in case of Scenario I and II(the present case) excluding Scenario III (pollutant source decrease case), all of T-N and T-P are either mesotrophication or eutrophication, on the other hand when 60% of pollution source is removed, the concentrations of Scenario III were BOD 3.21 mg/L, T-N 0.95 mg/L, T-P 0.11 mg/L, respectively, and which satisfies the standard of agricultural water quality.

• Journal of the Korean Society for information Management
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• v.21 no.2
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• pp.1-21
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• 2004

For the guarantee of retrieval ratio, thesaurus's maintenance for descriptors are necessary. To maintain the optimum scale of thesaurus, new terms and existing terms should be structured to the equivalence relationship. Therefore, equivalence relationships are needed to new standard. This study proposes new standard of the equivalence relationships, which is more specified for better guarantee of retrieval ratios. The relationships have seven facets. These six facets will be used as new knowledge-base, which could be reestablished between the descriptors.

• Journal of Hospice and Palliative Care
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• v.2 no.1
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• pp.46-53
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• 1999

The purpose of this case study is to explore the difference of hospice care and the efficiency of hospice education, by comparing the care of the nurse, the volunteer and the minister who have been trained by the Hospice Education Program. The index of common hospice care delivered by cases is that 1) the physical problems (pain, physical discomfort, incontinece, nausea, vomiting etc.) 2) the family problems(family support, change of family function, inefficiency, preparing the death of family) 3) the psychiatric problems(grief and sadness of death, anxiety, fear, helplessness). The case of volunteer and minister is different with the hospice care by nurse, because it is some what related to Christian's base. The index of care by the volunteer and minister is pertaining to social support and spiritual support for family and dying patient. In conclusion, for the wholistic hospice care, we need the hospice caregiver who have diverse background and expert in knowledge of various dimension. For that, it is necessary to build and develop hospice education program as a team apprach, which indudes a systematic expertizing items for care in consideration of caregiver's background.

• Journal of Internet Computing and Services
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• v.5 no.4
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• pp.115-124
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• 2004

This paper presents a weighted fuzzy backward reasoning algorithm for rule-based systems based on weighted fuzzy Petri nets. The fuzzy production rules in the knowledge base of a rule-based system are modeled by weighted fuzzy Petri nets, where the truth values of the propositions appearing in the fuzzy production rules and the certainty factors of the rules are represented by fuzzy numbers. Furthermore, the weights of the propositions appearing in the rules are also represented by fuzzy numbers. The proposed weighted fuzzy backward reasoning generates the backward reasoning path from the goal node to the initial nodes and then evaluates the certainty factor of the goal node. The algorithm we proposed can allow the rule-based systems to perform weighted fuzzy backward reasoning in more flexible and human-like manner.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.2
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• pp.125-133
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• 2009

RDF is widely used as the ontology language for representing metadata on the semantic web. Since ontology models the real-world, ontology changes overtime. Thus, it is very important to detect and analyze changes in knowledge base system. Earlier studies on detecting changes between RDF models focused on the structural differences. Some techniques which reduce the size of the delta by considering the RDFS entailment rules have been introduced. However, inferencing with RDF models increases data size and upload time. In this paper, we propose a new change detection using RDF reasoning that only computes a small part of the implied triples using backward chaining strategy. We show that our approach efficiently detects changes through experiments with real-life RDF datasets.

• Women's Health Nursing
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• v.19 no.3
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• pp.153-165
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• 2013

Purpose: The purpose of this study was to review the literature on intervention for breast cancer survivors and their partners. Methods: The literature search was performed using MEDLINE, Pubmed, and Proquest to summarize the current state of knowledge regarding intervention for breast cancer survivors and their partners. Articles published between January 2000 and December 2011 were included. Results: A total of 14 studies were identified. Couple-base d intervention was more effective than intervention for survivors alone. Intervention to partners had also effects on their wives. Most studies were conducted in USA with Caucasian women. Sample size of intervention studies was small with most being pilot studies. Conclusion: Providing couple-based intervention to breast cancer survivors could have positive impacts on physical, interpersonal, and social aspects in breast cancer survivors. Future studies with large sample and different ethnicity are needed to confirm the effects of couple-based interventions for breast cancer survivors.

• Journal of the Korean Society for information Management
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• v.26 no.4
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• pp.81-92
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• 2009

This paper proposes a technique for improving performance using word senses and user feedback in web information retrieval, compared with the retrieval based on ambiguous user query and index. Disambiguation using query word senses can eliminating the irrelevant pages from the search result. According to semantic categories of nouns which are used as index for retrieval, we build the word sense knowledge-base and categorize the web pages. It can improve the precision of retrieval system with user feedback deciding the query sense and information seeking behavior to pages.