• Korean Security Journal
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• no.43
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• pp.177-204
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• 2015

The Korean Criminal Code ${\S}10$ (1) provides that "The act of a person who, because of mental disorder, is unable to make discriminations or to control one's will, shall not be punished". Therefore, it'll not be able to be given criminal punishment if a mentally defective person is determined to lack the criminal liability. The problem about judging the criminal liability for the mentally defective person exists in areas where the criminal law intersects with psychiatry. Although the supreme court ultimately judges whether the criminal liability by mental defectiveness exists or not, the judgment of mental defectiveness, which is biological element, needs psychiatric knowledge and it is no wonder to rely on this. In particular, a change is required in the procedure and contents of mental examination for a mentally defective person as implementation of the Civil Participation in Criminal Jury Trial. It is needed the improvement of procedure to submit more accurate mental examination and the result of it in order that jurors are able to understand the result of mental examination and make an decision. This is because jurors consisting of ordinary citizens take part in trial. For guaranteeing the precise result of mental examination in the criminal justice procedure, it is necessary to establish the pool of manpower consisting of psychiatrists or psychologists who have completed the specific educational programs about the criminal justice and legal psychiatry, and it is desired to carry out the psychiatric test with selecting appraisers who belong to a pool of manpower. Furthermore, it is required to draw up and submit the written appraisal of mental examination which is easy to be known because of considering the nonprofessional of jurors consisting of ordinary citizens in the Civil Participation in Criminal Jury Trial. In order to gain a fair verdict of the jury about whether mental defectiveness exists or not, it is recommended the prompt submission of the written appraisal of mental examination, the presentation of the written appraisal of mental examination summarizing the important contents, and making out the written appraisal of mental examination for jurors to understand it easily.

• KIPS Transactions on Software and Data Engineering
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• v.11 no.8
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• pp.315-324
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• 2022

In this paper, we propose KoEPT, a Transformer-based generative model for automatic math word problems solving. A math word problem written in human language which describes everyday situations in a mathematical form. Math word problem solving requires an artificial intelligence model to understand the implied logic within the problem. Therefore, it is being studied variously across the world to improve the language understanding ability of artificial intelligence. In the case of the Korean language, studies so far have mainly attempted to solve problems by classifying them into templates, but there is a limitation in that these techniques are difficult to apply to datasets with high classification difficulty. To solve this problem, this paper used the KoEPT model which uses 'expression' tokens and pointer networks. To measure the performance of this model, the classification difficulty scores of IL, CC, and ALG514, which are existing Korean mathematical sentence problem datasets, were measured, and then the performance of KoEPT was evaluated using 5-fold cross-validation. For the Korean datasets used for evaluation, KoEPT obtained the state-of-the-art(SOTA) performance with 99.1% in CC, which is comparable to the existing SOTA performance, and 89.3% and 80.5% in IL and ALG514, respectively. In addition, as a result of evaluation, KoEPT showed a relatively improved performance for datasets with high classification difficulty. Through an ablation study, we uncovered that the use of the 'expression' tokens and pointer networks contributed to KoEPT's state of being less affected by classification difficulty while obtaining good performance.

• Journal of KIISE:Databases
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• v.31 no.5
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• pp.445-456
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• 2004

The database schema is assumed to be stable enough to remain valid even as the modeled environment changes. However, in practice. data models are not nearly as stable as commonly assumed by the database designers. Even though a rich set of schema change operations is provided in current database systems, the users suffer from the problem that schema change usually impacts existing application programs that have been written against the schema. In this paper, we are exploring the possible solutions to overcome this problem of impacts on the application programs. We believe that for continued support of the existing programs on the old schema, the old schema should continue to allow updates and queries, as before. Furthermore, its associated data has to be kept up-to-date. We call this the program independency property of schema change tools. For this property. we devise so-called program independency schema evolution (PISE) methodology. For each of the set of schema change operations in the relational schemas, the sketch of the additional algorithms due to the PISE compliance is presented in order to prove the comprehensiveness and soundness of our PISE methodology.

• Journal of The Korean Association of Information Education
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• v.16 no.4
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• pp.439-450
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• 2012

This paper explores effectiveness of integrating Problem-Based Learning with Web 2.0 technologies in Computer subject matter education for improving quality of lessons and adapting of social needs for pre-service teachers. Students have studied about computer subject matter for 4 times. The process of leaning have recorded by Web 2.0 tools that is one of the cloud services. Also the students have written reflection journals about experiences of PBL process and results. The PBL process and reflection journals have been analyzed by qualitative data analysis. Conclusions are drawn as to potential for the use of Web 2.0 tools for PBL in computer subject matter. The results of the analyses showed the following: 1) Increasing the understanding of the computer subject matter education, 2) enhancing students' competence in using ICT potentially, 3) cultivating teaching and learning strategies on Web 2.0 environment and 4) enhancing competence of future teaching activities through experiencing e-portfolio as a performance-assessment tool.

• International Journal of Internet, Broadcasting and Communication
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• v.9 no.2
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• pp.64-69
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• 2017

The abstract should summarize the contents of the paper and written below the author information. Use th In Wide-area Wireless Sensor Networks, network lifetime is short due to energy consumption due to transmission distance. To improve this, we divide the sensor field into layers and reduce transmission distance through multi-hop transmission. However, there is a problem in that the transmission rate drops because there is no Cluster Head in the layer, or the transmission distance increases due to the layer, and energy is wasted. There are DL-LEACH and EDL-LEACH as Protocols to improve this. DL-LEACH uses either single-hop transmission or multi-hop transmission depending on the situation. As a result, the transmission distance is optimized, thereby reducing energy consumption. In case of EDL-LEACH, it is proposed to improve the data rate in DL-LEACH. It is the same as DL-LEACH, but the Cluster Head is mandatory for all layers to improve the transmission rate. Although there is no Cluster Head for each layer, the transmission rate is improved, but the network life is shortened. In this paper, we try to improve the network lifetime while maintaining the EDL-LEACH transmission rate. The shortened network lifetime is due to Cluster Head overload near the base station. To improve this, the Cluster Head distribution method is improved and the network lifetime is improved.

• 한국사회복지학회:학술대회논문집
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• 2004.04a
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• pp.705-731
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• 2004

This study is to be used for research material for pastoral counseling, by analyzing grounded-theoretically how substance abusers' awareness of self and experience of relations affects problems in abusing drugs. The subject of this study was chosen as 9 prisoners who were able to participate in group counseling, among those who were in prison for substance abuse and had more than 6 months of penal servitude left. In addition, in order to indicate counseling research methods through this study, 12 group counselings were carried out during October 24th. 2002 and February 14th. 2003 and verbatim were written out to be used as original material. After the research material was analyzed, they could be categorized into 60 concepts on the whole from 'conflict' and 'constraining thinking' to 'rationalization' and 'avoidance'. When these concepts were organized into groups of similarity, there were all together 20 categories. From this study, it can be found that substance abusers had "problems about self" and "problems about relations". The factor which affected their use of drugs was the area of relations, where as henceforth their use of drugs, the situation in which they could not escape from the use of substances was affected by problems within the area of self. When facing such problems as substance abuse, the pastoral counselor must create a holding environment through counseling, and perform good enough mothering by being insightful and providing active support on the problem. They must also help one's growth into "an empathizing self", "an accepting self", "a trusting self", "a hopeful self", who can empathize, accept, trust and hope, through experience in separation from the problem, conversion, meta-communication, self-rumination, relations and inspiration of hope. Likewise, the church must be able to act as a "place of growth and skill" which aids in the forming of relations and helps to be aware of self through experience in, and understanding of, relations.

• The KIPS Transactions:PartB
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• v.13B no.4 s.107
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• pp.439-448
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• 2006

Previous recognition/clustering algorithms such as Kohonen SOM(Self-Organizing Map), MLP(Multi-Layer Percecptron) and SVM(Support Vector Machine) might not adapt to unexpected input pattern. And it's recognition rate depends highly on the complexity of own training patterns. We could make up for and improve the weak points with lowering complexity of original problem without losing original characteristics. There are so many ways to lower complexity of the problem, and we chose a kernel concepts as an approach to do it. In this paper, using a kernel concepts, original data are mapped to hyper-dimension space which is near infinite dimension. Therefore, transferred data into the hyper-dimension are distributed spasely rather than originally distributed so as to guarantee the rate to be risen. Estimating ratio of recognition is based on a new similarity-probing and learning method that are proposed in this paper. Using CEDAR DB which data is written in cursive letters, 0 to 9, we compare a recognition/clustering performance of kSOM that is proposed in this paper with previous SOM.

• KIISE Transactions on Computing Practices
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• v.23 no.5
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• pp.316-321
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• 2017

We analyze the online Hangul handwriting recognition problem (HHR) and present solutions based on recurrent neural networks. The solutions are organized according to the three kinds of sequence labeling problem - sequence classifications, segment classification, and temporal classification, with additional consideration of the structural constitution of Hangul characters. We present a stacked gated recurrent unit (GRU) based model as the natural HHR solution in the sequence classification level. The proposed model shows 86.2% accuracy for recognizing 2350 Hangul characters and 98.2% accuracy for recognizing the six types of Hangul characters. We show that the type recognizing model successfully follows the type change as strokes are sequentially written. These results show the potential for RNN models to learn high-level structural information from sequential data.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.23 no.3
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• pp.395-404
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• 2013

A pattern matching algorithm plays an important role in traffic identification and classification based on predefined patterns for intrusion detection and prevention. As attacks become prevalent and complex, current patterns are written using regular expressions, called regexes, which are expressed into the deterministic finite automata(DFA) due to the guaranteed worst-case performance in pattern matching process. Currently, because of the increased complexity of regex patterns and their large number, memory-efficient DFA from states reduction have become the mainstay of pattern matching process. However, most of the previous works have focused on reducing only the number of states on a single automaton, and thus there still exists a state blowup problem under the large number of patterns. To solve the above problem, we propose a new state compression algorithm that merges states on multiple automata. We show that by merging states with the same input character on multiple automata, the proposed algorithm can lead to a significant reduction of the number of states in the original DFA by as much as 40.0% on average.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.652-654
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• 2018

Recently there are many people who suffer from a mental problem like depression or anxiety caused by the stress of employment or school works. Some mental care agencies serve a campaign for them, but it's less accessible due to the geographic distance. And before taking the service, people should find out what is a better psychological test for them to diagnose the problem. Furthermore, it is inconvenient that keeping the diagnosis which is written in some papers. In his paper, in order to solve these problems, suggests the novel platform that serves psychological tests to users and stores results into database so that involved agencies could contact quickly. The psychological tests BAI, BDI, PHQ-15, and Q-15 were used to verify the reliability and effectiveness of the platform.