• Title/Summary/Keyword: ambiguousness

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Self-Evolving Expert Systems based on Fuzzy Neural Network and RDB Inference Engine

  • Kim, Jin-Sung
    • Journal of Intelligence and Information Systems
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    • v.9 no.2
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    • pp.19-38
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    • 2003
  • In this research, we propose the mechanism to develop self-evolving expert systems (SEES) based on data mining (DM), fuzzy neural networks (FNN), and relational database (RDB)-driven forward/backward inference engine. Most researchers had tried to develop a text-oriented knowledge base (KB) and inference engine (IE). However, this approach had some limitations such as 1) automatic rule extraction, 2) manipulation of ambiguousness in knowledge, 3) expandability of knowledge base, and 4) speed of inference. To overcome these limitations, knowledge engineers had tried to develop an automatic knowledge extraction mechanism. As a result, the adaptability of the expert systems was improved. Nonetheless, they didn't suggest a hybrid and generalized solution to develop self-evolving expert systems. To this purpose, we propose an automatic knowledge acquisition and composite inference mechanism based on DM, FNN, and RDB-driven inference engine. Our proposed mechanism has five advantages. First, it can extract and reduce the specific domain knowledge from incomplete database by using data mining technology. Second, our proposed mechanism can manipulate the ambiguousness in knowledge by using fuzzy membership functions. Third, it can construct the relational knowledge base and expand the knowledge base unlimitedly with RDBMS (relational database management systems) module. Fourth, our proposed hybrid data mining mechanism can reflect both association rule-based logical inference and complicate fuzzy relationships. Fifth, RDB-driven forward and backward inference time is shorter than the traditional text-oriented inference time.

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Data Mining and FNN-Driven Knowledge Acquisition and Inference Mechanism for Developing A Self-Evolving Expert Systems

  • Kim, Jin-Sung
    • Proceedings of the KAIS Fall Conference
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    • 2003.11a
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    • pp.99-104
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    • 2003
  • In this research, we proposed the mechanism to develop self evolving expert systems (SEES) based on data mining (DM), fuzzy neural networks (FNN), and relational database (RDB)-driven forward/backward inference engine. Most former researchers tried to develop a text-oriented knowledge base (KB) and inference engine (IE). However, thy have some limitations such as 1) automatic rule extraction, 2) manipulation of ambiguousness in knowledge, 3) expandability of knowledge base, and 4) speed of inference. To overcome these limitations, many of researchers had tried to develop an automatic knowledge extraction and refining mechanisms. As a result, the adaptability of the expert systems was improved. Nonetheless, they didn't suggest a hybrid and generalized solution to develop self-evolving expert systems. To this purpose, in this study, we propose an automatic knowledge acquisition and composite inference mechanism based on DM, FNN, and RDB-driven inference. Our proposed mechanism has five advantages empirically. First, it could extract and reduce the specific domain knowledge from incomplete database by using data mining algorithm. Second, our proposed mechanism could manipulate the ambiguousness in knowledge by using fuzzy membership functions. Third, it could construct the relational knowledge base and expand the knowledge base unlimitedly with RDBMS (relational database management systems). Fourth, our proposed hybrid data mining mechanism can reflect both association rule-based logical inference and complicate fuzzy logic. Fifth, RDB-driven forward and backward inference is faster than the traditional text-oriented inference.

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A Study on the PN-Spatial Characteristics of Japanese Contemporary Architecture - Focused on the Projects of Four Contemporary Young Architects - (일본 현대 건축의 PN-space적 특징에 관한 연구 - 동시대의 신진 건축가 4인의 작품을 중심으로 -)

  • Seo, Sung-Min;Lim, Yeong-Hwan
    • Journal of the Architectural Institute of Korea Planning & Design
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    • v.34 no.4
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    • pp.45-55
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    • 2018
  • The purpose of this study is to analyze common features and methodological differences of PN-spatial characteristics found in architectural theories and works of contemporary young architects in Japan, such as Sou Fujimoto, Yo shimada, Keisuke Maeda and Junya Ishigami. These architects have paid attention to space between nature and inner space and have tried to establish their own architectural theory on that. Such space is ambiguous and PN-spatial in a way that it has features of both nature and inner space. Ambiguousness is a characteristic of modern architecture and PN-spatial characteristics are one of the features of Japanese architecture. This study aims to analyze the architectural theories and works of contemporary young architects in Japan from the perspective of PN-space and to draw methodological differences and common features. Their theories and works have common features in terms of 'ambiguous spatial boundary', 'unregulated spatial territory', 'detoured circulation' and 'architectural motifs', but each has their own methodology. To sum up, the works and theories of the Japanese young architects contain the philosophy and discourse of modern architecture in general. To be sure, they clearly have characteristics of Japanese architecture, which needs to be studied constantly.

Probability-Based Context-Generation Model with Situation Propagation Network (상황 전파 네트워크를 이용한 확률기반 상황생성 모델)

  • Cheon, Seong-Pyo;Kim, Sung-Shin
    • The Journal of Korea Robotics Society
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    • v.4 no.1
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    • pp.56-61
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    • 2009
  • A probability-based data generation is a typical context-generation method that is a not only simple and strong data generation method but also easy to update generation conditions. However, the probability-based context-generation method has been found its natural-born ambiguousness and confliction problems in generated context data. In order to compensate for the disadvantages of the probabilistic random data generation method, a situation propagation network is proposed in this paper. The situation propagating network is designed to update parameters of probability functions are included in probability-based data generation model. The proposed probability-based context-generation model generates two kinds of contexts: one is related to independent contexts, and the other is related to conditional contexts. The results of the proposed model are compared with the results of the probabilitybased model with respect to performance, reduction of ambiguity, and confliction.

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Effects of the Counseling and the Working Environment on Burnout in Child Counselor (아동상담자의 의욕상실에 영향을 미치는 상담 및 업무환경 변인)

  • Park, Hui Hyun;Kim, Kwang Woong
    • Korean Journal of Child Studies
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    • v.27 no.4
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    • pp.201-218
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    • 2006
  • Using an instrument validated in an antecedent study, this study explored the effect of counseling and working environment variables on burnout in child counselors. The 191 counselors of this study worked with children under 18 years of age. Data were analyzed by Cronbach's a, quantification methods I. Counseling and working environment variables have 33% of ad-$R^2$ over the total score of burnout in child counselors. Variables contributing to burnout were workload, position in an institution, income from counseling, theoretical approach, and job stress. Counselors with 1-5 cases per week, working independent of an institution and using a single theory of counseling experienced more burnout, and counselors without challenge on the job, excessive role conflict, role ambiguousness, and excessive workload experienced more burnout.

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Evaluating the Importance of Certification Criteria for Call Center Services (콜센터 서비스인증 심사기준의 중요도 평가)

  • Lee, Mi-na;So, Soon-Hu
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2016.10a
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    • pp.139-141
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    • 2016
  • With the introduction of national standards (KS) for call centers, customers are expected to have access to better-quality services in the future. The purpose of this study is to evaluate the relative importance of certification criteria for call center services using the Fuzzy AHP(Analytic Hierarchy Process) approach. Fuzzy AHP is the combination of the fuzzy set theory and AHP to deal with the uncertainty or ambiguousness of the decision-making process. The evaluation method proposed in this study can be applied to the KS services certification promoted by government.

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Analysis of Flat-Band-Voltage Dependent Breakdown Voltage for 10 nm Double Gate MOSFET

  • Jung, Hakkee;Dimitrijev, Sima
    • Journal of information and communication convergence engineering
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    • v.16 no.1
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    • pp.43-47
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    • 2018
  • The existing modeling of avalanche dominated breakdown in double gate MOSFETs (DGMOSFETs) is not relevant for 10 nm gate lengths, because the avalanche mechanism does not occur when the channel length approaches the carrier scattering length. This paper focuses on the punch through mechanism to analyze the breakdown characteristics in 10 nm DGMOSFETs. The analysis is based on an analytical model for the thermionic-emission and tunneling currents, which is based on two-dimensional distributions of the electric potential, obtained from the Poisson equation, and the Wentzel-Kramers-Brillouin (WKB) approximation for the tunneling probability. The analysis shows that corresponding flat-band-voltage for fixed threshold voltage has a significant impact on the breakdown voltage. To investigate ambiguousness of number of dopants in channel, we compared breakdown voltages of high doping and undoped DGMOSFET and show undoped DGMOSFET is more realistic due to simple flat-band-voltage shift. Given that the flat-band-voltage is a process dependent parameter, the new model can be used to quantify the impact of process-parameter fluctuations on the breakdown voltage.

Emotional Responses to e-Magazine Published with Cinemagraph Images

  • Park, Ji Seob;Bae, Jin Hwa;Cho, Kwang Su
    • Agribusiness and Information Management
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    • v.7 no.1
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    • pp.10-20
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    • 2015
  • This study aims to compare and analyze the differences of emotional responses between two types of e-magazines published - one with cinemagraph images and another with general still images. To conduct this study, a total of nine pages were prepared with different contents according to each theme and samples of e-magazine with a total of nineteen sections of images were exposed to a total of thirty persons of subjects. Fifteen persons were assigned to the experimental group viewing the cinemagraph images, and other fifteen persons were assigned to the control group viewing the general still images. As a result of the experiment, the emotional responses of the experimental group and the control group were significantly different. Twenty-eight items of positive emotional responses out of forty-two items of the emotional responses were more found in the experimental group, and fourteen items of negative emotional responses affected the control group more. In the experimental group where the differences in the mean value and significant differences were found, negative emotional responses were not examined but fourteen positive emotional response items such as Loveliness, Merriness, Freshness, Activeness, Attractiveness, Powerfulness, Heartwarming, Joyfulness, Interesting, Confidence, Excitement, Cheerfulness, Humorousness, and Amazement were found; in the control group, positive emotional responses were not found but three items of negative emotional responses such as Ambiguousness, Stuffiness, and Boredom were found.

Comparative study on Focalization in Film from a Narratological Perspective (서사학적 관점에서 본 영화의 초점화 양상 연구)

  • Kim, Jong-Wan
    • The Journal of the Korea Contents Association
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    • v.14 no.2
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    • pp.72-83
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    • 2014
  • Film is a visual art. A process of film totally depends on our sense of sight. It indicates that a way of delivering narrative in the film is "showing", not "telling". There has already been established theories about "who sees" and "who tells" in narratology. It explains who the narrator is and how the narrator delivers in literary works which is represented in terms of "Point-of View". Therefore the study contents construct internal formal elements of the narrator and point of view into 2 individual researches, and the result can be summed up as below. From a narratological perspective, the narrator has roles and deeds as a narrative mediator who mediates the story and leads the story as presenting the origin with images and voices in the text extra and intra world through the process of producing the narrative inferred. To eliminate ambiguousness the term 'point-of view', this article applies 'focalization' theory to analyze narrative structure of film. The result of analysis shows that there are three focalizers in film; director, protagonist-character and camera. And aspects of film can be varied by distance of each focalizer. These distances between focalizers limit amount of visual information.

"Statistics is difficult"? - Textbooks problems ("통계학은 어렵다"? - 통계학교재의 문제점)

  • Lee, Wonwoo
    • Journal of the Korean Data and Information Science Society
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    • v.24 no.6
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    • pp.1253-1262
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    • 2013
  • This study observes not only how much those who studied Statistics during the college years feel that Statistics is difficult but also why they felt it was difficult. Most of the targeted researchers, 80.8 percent, say "Statistics was difficult". They selected the item "textbooks were hard to understand" as the main reason (62.5%). Based on the explanatory survey of text books, many textbooks do not distinguish the small letter, x from the capital letter, X. Hence, in this study, one of the main reasons why most of the researchers felt Statistics was difficult must be the ambiguousness of the notations. If authors keep in mind the importance of the difference between capital letters and small letters in Statistics, the Statistics learners' recognition of difficulty of Statistics will decline.