• Phonetics and Speech Sciences
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• v.16 no.1
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• pp.25-31
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• 2024

This study examines the perceptual motivation behind dissimilation. Consistent with previous arguments suggesting that dissimilation originates from perception rather than production (Coetzee, 2005; Kiparsky, 2003; Scheer, 2013), we hypothesized that an oral stop with short of voice onset time (VOT) would be recognized as non-aspirated more often when it is followed by an aspirated stop with a long VOT. This hypothesis was tested through a perception experiment in which 32 Korean listeners made judgments on the first consonant of C₁VC₂V words manipulated with C₁ VOT and C₂ types. The results revealed that aspirated-based C₁ was recognized as aspirated or tense depending on the duration of VOT, while lenis-based C₁ was consistently recognized as lenis. The dissimilatory effect of aspirated C₂ was confirmed as anticipated, and furthermore, tense C₂ increased the ratio of tense responses more than aspirated C₂. These results provide evidence of a perceptual bias against recurrent aspirated stops, which may play a role in activating a dissimilatory rule or constraint in a language. The assimilatory effect of tense C₂ is in consistent with findings indicating that word-initial tensification is facilitated by the following tense stop in Korean (Kang & Oh, 2016; H. Kim, 2016).

• Journal of KIISE:Software and Applications
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• v.31 no.3
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• pp.369-378
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• 2004

In partially free word order languages like Korean and Japanese, the rule-based method is effective for text chunking, and shows the performance as high as machine learning methods even with a few rules due to the well-developed overt Postpositions and endings. However, it has no ability to handle the exceptions of the rules. Exception handling is an important work in natural language processing, and the exceptions can be efficiently processed in memory-based teaming. In this paper, we propose a hybrid of rule-based method and memory-based learning for Korean text chunking. The proposed method is primarily based on the rules, and then the chunks estimated by the rules are verified by memory-based classifier. An evaluation of the proposed method on Korean STEP 2000 corpus yields the improvement in F-score over the rules or various machine teaming methods alone. The final F-score is 94.19, while those of the rules and SVMs, the best machine learning method for this task, are just 91.87 and 92.54 respectively.

• Journal of KIISE:Software and Applications
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• v.36 no.5
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• pp.411-419
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• 2009

In order to derive hidden Information (concept subsumption, concept satisfiability and realization) of OWL ontologies, a number of OWL reasoners have been introduced. Most of the reasoners were implemented to be based on tableau algorithm. However this approach has certain limitation. This paper presents architecture for Medusa. The Medusa is an extended DL-reasoner for SWRL(Semantic Web Rule Language) reasoning under well-founded semantics with ontologies specified in Description Logic. Description logic based ontology reasoners theoretically explore knowledge representation and its reasoning in concept languages. However these logics are not equipped with rule-based reasoning mechanisms for assertional knowledge base; specifically, rule and facts in logic programming, or interaction of rules and facts with terminology. In order to deal with the enriched reasoning, The Medusa provides combining DL-knowledge base and rule based reasoner. The described prototype uses $Prot{\acute{e}}g{\acute{e}}$ API[1] for controlling communication with the ontology reasoner.

• Cartoon and Animation Studies
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• s.23
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• pp.51-66
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• 2011

Rodolphe Toepfer invented cartoon frames and following cartoonists developed this idea. But cartoon frames defineed before in historical documens and artifacts give a hint of the structure of a cartoon frame. In historical documents and artifacts show various form of the quadrangle frames. Now we see the cartoon frame is a result of historical things. Artists input in the framework, dubbed as a cartoon frame, all kinds of icons that belong to cartoon's language. Readers accept messages that artists want to say by considering this formation. Although cartoon frames are similar to camera frames they are more flexible than other general frames. By this flexibility, different shapes of frame influence reader's experiences. Applying these various cartoon frames extends function of framework. And if used by many cartoonists, you gradually get a rule. A time-tested rule standardizes it. In theory, shapes of frame are changeable in many ways. But frequently used frames are standardized in just one formation. In the process, I think it is a tacit rule of human lifestyle. That is a quadrangle. Why is the quadrangle chosen by a long term polished rule of frame? This study is to realise why a quadrangle form is used and its relation to human lifestyle.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.5
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• pp.341-346
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• 2013

In this paper, we propose a rule extraction method using a modified Fuzzy Min-Max (FMM) neural network. The suggested method supplements the hyperbox definition with a frequency factor of feature values in the learning data set. We have defined a relevance factor between features and pattern classes. The proposed model can solve the ambiguity problem without using the overlapping test process and the contraction process. The hyperbox membership function based on the fuzzy partitions is defined for each dimension of a pattern class. The weight values are trained by the feature range and the frequency of feature values. The excitatory features and the inhibitory features can be classified by the proposed method and they can be used for the rule generation process. From the experiments of sign language recognition, the proposed method is evaluated empirically.

• The Journal of the Korea Contents Association
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• v.9 no.2
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• pp.152-162
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• 2009

At present, Authoring tools, which are used to develop the WIPI applications are less convenient to be coded. Usually, the programming tools only focus on the grammar while scarcity of visualization. Developer forced directly codes all times during the development by this cause. As a procedure for rapid WIPI Application Development, in this paper, WIPI API High Level Component is first visualized, in order words, graphic control is developed. Second this control is used in designing the mobile layout. Then UI Markup Language and source code can be generated automatically. With this view, we propose the JIML(Jlet Interface Markup Language) with UI Markup Language based XML of WIPI Jlet Platform and also present the transformable rule for generation to the WIPI code about WIPI Jlet UI from offered JIML. Also we implement the WIPI Jlet Generation System to make the generation to JIML, WIPI code. The Implemented System provides efficiency when developing WIPI Business Application, and helps to enable rapid development.

• The KIPS Transactions:PartD
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• v.12D no.7 s.103
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• pp.1007-1016
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• 2005

A key issue for process language design is balancing the need for semantic richness with the need for ease of use. Most process modeling languages fail to satisfy above two conflicting aspects, which is an impediment to the widespread adoption of process modeling languages in the software industry despite of a variety of software process language studies. This paper describes a process modeling language RAiSE attempting to resolve such problem and presents the result of applying RAiSE to a well-known benchmark process, ISPW-6 software process example. RAiSE provides rigorous, yet clear semantics through combing essential features in various modeling paradigms and defining them in a well-structured graphical notation. Process models represented in RAiSE are interpreted and enacted by process engine implemented using CLiPS, a rule based expert system tool.

• Journal of Korea Multimedia Society
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• v.7 no.11
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• pp.1620-1629
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• 2004

The objectives of access control are to protect computing and communication resources from illegal use, alteration, disclosure and destruction by unauthorized users. Although Biba security model is well suited for protecting the integrity of information, it is considered too restrictive to be an access control model for commercial environments. And, Role-Based Access Control(RBAC) model, a flexible and policy-neutral security model that is being widely accepted in commercial areas, has a possibility for compromising integrity of information. In this paper, We present the role graph model which enhanced flexibility and integrity to management of many access permission. Also, In order to represent those rule and constraints clearly, formal descriptions of role assignment rule and constraints in Z language are also given.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.11
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• pp.235-244
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• 2017

This paper aims to design a system for psychological diagnosis in sandbox play by applying rule based expert system. Sandbox play is one of play therapy and it is a technique that can be combined with psychological diagnosis and treatment using sand and various kinds of figures. In this technique, we focus on psychological diagnostic factors and try to implement a system that automatically diagnoses psychological types when input values are given. Therefore, six kinds of language objects are set and the rules are created according to the types of figures, arrangement of figures, and production time in the sand box used as a reference element in the diagnosis method. In this system, it is assumed that the client recognizes the finished sandbox as a sensor device. Then, when the recognized state enters the input value, the rules based on the language object are ignited in order. Through this, the client is diagnosed with one of 26 types of psychology. As a result, the diagnostic process is simplified and automated. Accordingly, a more detailed psychological diagnosis and treatments are provided.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.11
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• pp.515-524
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• 2017

In this paper, we design and implement an expert system for diagnosing ADHD. As a result of the analysis with DSM-IV-TR, the ADHD diagnostic criteria are changed according to the age group. With this analyzed diagnostic, objects and their values are set and rules are created. We design a diagnostic system consisting of 'ADHD diagnostic system engine' and 'user query response program'. The ADHD diagnostic system engine is a rule-based reasoning engine that is implemented in the Prolog language and receives INPUT from the user query response program. By INPUT, the rule is executed based on the ADHD diagnostic criteria and the OUTPUT is sent back to the 'user query response program' by inferring the diagnostic result. The 'user query response program' is implemented in the Python language and serves as an interface for handling conversation with the user. The bridge between 'ADHD diagnostic system engine' and 'user query response program' is performed through the Pyswip library. As a result, the ADHD Diagnostic Expert System will help you plan your treatment with reduced diagnostic costs and use-complexity.