• Journal of the Korean Institute of Intelligent Systems
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• v.26 no.3
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• pp.233-238
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• 2016

In this paper, we propose the algorithms of processing the uncertainty data using data fusion for the next generation intrusion detection. In the next generation intrusion detection, a lot of data are collected by many of network sensors to discover knowledge from generating information in cyber space. It is necessary the data fusion process to extract knowledge from collected sensors data. In this paper, we have proposed method to represent the uncertainty data, by classifying where is a confidence interval in interval of uncertainty data through feature analysis of different data using inference method with Dempster-Shafer Evidence Theory. In this paper, we have implemented a detection experiment that is classified by the confidence interval using IRIS plant Data Set for anomaly detection of uncertainty data. As a result, we found that it is possible to classify data by confidence interval.

• Journal of Intelligence and Information Systems
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• v.14 no.4
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• pp.1-18
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• 2008

By using previous similar case plans, the case-based planning (CBP) systems can generate efficiently plans for new problems. However, most existing CBP systems show limited functionalities for case retrieval and case generalization. Moreover, they do not allow their users to participate in the process of plan generation. To support efficient memory use and case retrieval, the proposed case-based planning system, JCBP, groups the set of cases sharing the same goal in each domain into individual case bases and maintains indexes to these individual case bases. The system applies the heuristic knowledge automatically extracted from the problem model to the case adaptation phase. It provides a sort of case generalization through goal regression. Also JCBP can operate in an interactive mode to support a mixed-initiative planning. Since it considers and utilizes user's preference and knowledge for solving the given planning problems, it can generate solution plans satisfying more user's needs and reduce the complexity of plan generation.

• KIPS Transactions on Software and Data Engineering
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• v.8 no.5
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• pp.205-212
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• 2019

Scene graph is a kind of knowledge graph that represents both objects and their relationships found in a image. This paper proposes a 3D scene graph generation model for three-dimensional indoor environments. An 3D scene graph includes not only object types, their positions and attributes, but also three-dimensional spatial relationships between them, An 3D scene graph can be viewed as a prior knowledge base describing the given environment within that the agent will be deployed later. Therefore, 3D scene graphs can be used in many useful applications, such as visual question answering (VQA) and service robots. This proposed 3D scene graph generation model consists of four sub-networks: object detection network (ObjNet), attribute prediction network (AttNet), transfer network (TransNet), relationship prediction network (RelNet). Conducting several experiments with 3D simulated indoor environments provided by AI2-THOR, we confirmed that the proposed model shows high performance.

• Knowledge Management Research
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• v.23 no.4
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• pp.295-314
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• 2022

Effectiveness of corporate promotion using SNS will be meaningful from theoretical and practical perspectives. This study attempts to explore the implications of running corporate ambassador programs composed of university students, different from previous studies focused mainly on celebrity influencers. To this end, the research model was generated and the hypotheses were tested by the responses of 287 subjects who received promotional messages from university student ambassadors of a public corporation. Research findings confirmed that ambassador characteristics (intimacy, expertise) had a significant influence on corporate promotion by mediating SNS information characteristics (information provision, information playfulness, and information reliability). Furthermore, it is found that MZ generation perceived the higher intimacy, the higher information playfulness, while the older generation perceived the higher expertise, the higher information reliability. In order to generalize these research findings, further research considering more diverse demographic characteristics is necessary.

• CELLMED
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• v.6 no.3
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• pp.21.1-21.15
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• 2016

In Kenya, traditional knowledge on herbal medicine has remained a mainstream source of maintaining wellbeing for generations in many communities. However, the knowledge has been eroded in the course of time due to sociocultural dynamics virtually advanced by Christianity and formal education especially in the Kikuyu community. The study documented current ethnobotanical knowledge and threat to the traditional knowledge on medicinal plants among the Kikuyu community. A survey was carried out in Mathira, Tetu, Kieni, Othaya, Mukurweini, and Nyeri Town constituencies. Thirty practicing herbalists were purposively sampled; 5 per constituency. Data was obtained through semi - structured questionnaires and analyzed both qualitatively and quantitatively. A total of 80 ailments treated using 111 medicinal plant species distributed within 98 genera and 56 families were documented. Prevalent communicable diseases treated using herbal medicine included; gonorrhea (17.5%), malaria (15%), respiratory infections (12%), colds (10%) and amoebiasis (10%). Non-communicable diseases were; joint pains (11.1%), ulcers/hyperacidity (8.7%), high blood pressure (8.7%), intestinal worms (11.1%) and arthritis/gout (10%). Frequently harvested plant materials were; roots, barks and leaves. The study concluded that, traditional medicine practitioners in Nyeri County possessed wide knowledge of herbal medicine but this knowledge was on the verge of disappearing as it was largely a preserve of the aged generation. The study recommended massive campaign about the benefits of using herbal medicine in the study area. Further pharmacological studies are recommended on the mentioned plant species aimed at establishing their efficacy and safety as well as standardization as potential drugs.

• Journal of Korean Library and Information Science Society
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• v.40 no.4
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• pp.243-259
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• 2009

This study introduces strengths theory, a core subject of career development and job-getting, and discusses about the factors of strengths(namely talents, knowledge and skills), the processes of strengths personalization, and generating employability. It searches for opportunities to apply the concept of employability to the field of Library and Information Science now thrown under hard pressure from information and communication technology. Employability is defined here as competence to make oneself employable as needed by discovering or creating work opportunities using one's own tested personalized strengths. Employability is a package of systematically organized information about the essential abilities and productive personalities of a person, and it is essential to be duly cognitive of one's employability if one seriously intends to succeed in jobs and career. Since generation of employability heavily involves complex processes of information and knowledge-making, expertise from LIS, particularly from areas of personal information management(PIM) and personal knowledge management(PKM), is expected to help for process facilitation.

• Journal of the Korean Society for information Management
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• v.21 no.3
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• pp.251-267
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• 2004

The purpose of this study is to generate the local level knowledge structure of a single document, similar to end-of-the-book indexes and table of contents of printed material through the use of term clustering and cluster representative term selection. Furthermore, it aims to analyze the functionalities of the knowledge structure. and to confirm the applicability of these methods in user-friend1y information services. The results of the term clustering experiment showed that the performance of the Ward's method was superior to that of the fuzzy K -means clustering method. In the cluster representative term selection experiment, using the highest passage frequency term as the representative yielded the best performance. Finally, the result of user task-based functionality tests illustrate that the automatically generated knowledge structure in this study functions similarly to the local level knowledge structure presented In printed material.

• Journal of The Korean Association For Science Education
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• v.25 no.5
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• pp.595-602
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• 2005

The purpose of this study was to test effects of the Triple Abduction Model (TAM) for improving the skills of scientific hypothesis generation in science learning. Twenty-six students were selected for the TAM group and 27 others were selected for a traditional group from one high school. Researchers developed and administered 10 TAM and traditional-style activities. The degree of hypothesis explanation was evaluated during the experimental treatment. Each Subjects' ability in scientific hypothesis generation was assessed by the Science Knowledge Generation Test A and B. Test A was used as a protest and B for a posttest. The results of this study revealed that the degree of hypothesis explanation of TAM was significantly higher than the degree of the traditional group, and the mean of the TAM group was equal to the mean of traditional group on the pretest. Additionally, the mean of the TAM group was significantly higher than the mean of the control group on the posttest. Therefore, instruction with TAM was more effective than the instruction using traditionals method for increasing students' hypothesis generation skills.

• Journal of Korean Society for Geospatial Information Science
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• v.13 no.1 s.31
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• pp.55-61
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• 2005

Digital Elevation Model (DEM) generation from remotely sensed imagery is crucial for a variety of mapping applications such as ortho-photo generation, city modeling. High resolution imaging satellites such as SPOT-5, IKONOS, QUICK-BIRD, ORBVIEW constitute an excellent source for efficient and economic generation of DEM data. However, prerequisite knowledge in the areas of sensor modeling, epipolar resampling, and image matching is required to generate DEM from these high resolution satellite imagery. From the above requirements, epipolar resampling emerges as the most important factors. Research attempts in this area are still in high demand and short supply. Another cause that adds to the complication of the problem is that most studies of DEM generation from IKONOS scenes have been based on rational function model. In this paper, we proposed a new methodology for DEM generation from satellite scenes using parallel projection model which is sensor independent, makes it possible for sensor modeling and epipolar resampling by only few control points. The performance and feasibility of the developed methodology is evaluated through real dataset captured by IKONOS.

• Knowledge Management Research
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• v.24 no.2
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• pp.117-135
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• 2023

With the spread of COVID-19 and the preference for untact services, kiosks, which is one of self-service technologies, have been expanding into various service fields. Kiosks have some advantages of reducing labor costs and increasing work efficiency, but they often cause difficulties in the process of using kiosks. In this vein, this study examines the key antecedents affecting consumer's continuance intention toward kiosks by integrating technology anxiety and innovativeness into the expanded expectation-confirmation model. The research model was verified for the MZ generation to examine the perceptions of MZ generation about Kiosks. This is because if the MZ generation feels technical anxiety or difficualty about using kiosks, customers of other generations can expect to feel even more uncomfortable. As a result of the analysis of this study, it was confirmed that technical anxiety has a significantly negative effect on consumer's continuance intention toward kiosks. However, among the characteristic factors of customers, innovativeness did not significantly consumer's continuance intention toward kiosks. Based on our findings, it is expected that service companies will be able to understand the mechanism of forming consumer's continuance intention toward kiosks and pursuit several management activities for successfully adopting kiosks.