• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.2
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• pp.72-81
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• 2023

This research proposes a novel approach to tackle the challenge of categorizing unstructured customer complaints in the automotive industry. The goal is to identify potential vehicle defects based on the findings of our algorithm, which can assist automakers in mitigating significant losses and reputational damage caused by mass claims. To achieve this goal, our model uses the Word2Vec method to analyze large volumes of unstructured customer complaint data from the National Highway Traffic Safety Administration (NHTSA). By developing a score dictionary for eight pre-selected criteria, our algorithm can efficiently categorize complaints and detect potential vehicle defects. By calculating the score of each complaint, our algorithm can identify patterns and correlations that can indicate potential defects in the vehicle. One of the key benefits of this approach is its ability to handle a large volume of unstructured data, which can be challenging for traditional methods. By using machine learning techniques, we can extract meaningful insights from customer complaints, which can help automakers prioritize and address potential defects before they become widespread issues. In conclusion, this research provides a promising approach to categorize unstructured customer complaints in the automotive industry and identify potential vehicle defects. By leveraging the power of machine learning, we can help automakers improve the quality of their products and enhance customer satisfaction. Further studies can build upon this approach to explore other potential applications and expand its scope to other industries.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.10a
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• pp.190-192
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• 2018

This paper describes a design of an elliptic curve cryptography (ECC) processor that supports five pseudo-random curves and five Koblitz curves over binary field defined by the NIST standard. The ECC processor adopts the Lopez-Dahab projective coordinate system so that scalar multiplication is computed with modular multiplier and XORs. A word-based Montgomery multiplier of $32-b{\times}32-b$ was designed to implement ECCs of various key lengths using fixed-size hardware. The hardware operation of the ECC processor was verified by FPGA implementation. The ECC processor synthesized using a 0.18-um CMOS cell library occupies 10,674 gate equivalents (GEs) and 9 Kbits RAM at 100 MHz, and the estimated maximum clock frequency is 154 MHz.

• The Journal of the Korea Contents Association
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• v.14 no.1
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• pp.66-75
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• 2014

The purpose of this study is to analyze and illustrate 'Rhizome', a postmodern speculation system based on de-subjectivity and decentralization, presented by Gilles Deleuze. He borrowed the word rhizome, an originally botanical term meaning a horizontal stem under the surface of the earth, to counteract the dominating system grounded on binary, root-tree structure. The study then criticizes the early movements of de-subjectivity with molecular-biological and evolutionary evidences, and proves that these evidences can only be characterized by chance and nomadism, which are the key elements that constitute Rhizome. As a practical example of Rhizome, the study analyzes the film by Gus Van Sant, and demonstrates that both his various cinematic experiments and the result bear the same characteristics as Rhizome.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.8
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• pp.3677-3688
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• 2011

The patent information retrieval system can serve a variety of purposes. In general, the patent information is retrieved using limited key words. To identify earlier technology and priority rights repeated effort is needed. This study proposes a method of content-based retrieval using text mining. Using the proposed algorithm, each of the documents is invested with characteristic value. The characteristic values are used to compare similarities between query documents and database documents. Text analysis is composed of 3 steps: stop-word, keyword analysis and weighted value calculation. In the test results, the general retrieval and the proposed algorithm were compared by using accuracy measurements. As the study arranges the result documents as similarities of the query documents, the surfer can improve the efficiency by reviewing the similar documents first. Also because of being able to input the full-text of patent documents, the users unacquainted with surfing can use it easily and quickly. It can reduce the amount of displayed missing data through the use of content based retrieval instead of keyword based retrieval for extending the scope of the search.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.15 no.1
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• pp.77-84
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• 2015

Most of the existing methods make the index key with every 6 words in every sentence in a document in order to identify copyright infringement between two documents. However, these methods has the disadvantage to take a long time to inspect the copyright infringement because of the long indexing time for the large-scale document. In this paper, we propose a method to select the longest word (called a feature bock) as an index key in the predetermined-sized window which scans a document character by character. This method can be characterized by removing duplicate blocks in the process of scanning a document, dramatically reducing the number of the index keys. The system with this method can find the copyright infringement positions of two documents very accurately and quickly since relatively small number of blocks are compared.

• Journal of IKEEE
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• v.25 no.1
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• pp.174-179
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• 2021

An Edwards curve cryptography (EdCC) core supporting point scalar multiplication (PSM) on Edwards curves of Edwards25519 and Edwards448 was designed. For area-efficient implementation, finite field multiplier based on word-based Montgomery multiplication algorithm was designed, and the extended twisted Edwards coordinates system was adopted to implement point operations without division operation. As a result of synthesizing the EdCC core with 100 MHz clock, it was implemented with 24,073 equivalent gates and 11 kbits RAM, and the maximum operating frequency was estimated to be 285 MHz. The evaluation results show that the EdCC core can compute 299 and 66 PSMs per second on Edwards25519 and Edwards448 curves, respectively. Compared to the ECC core with similar structure, the number of clock cycles required for 256-bit PSM was reduced by about 60%, resulting in 7.3 times improvement in computational performance.

• Journal of Convergence for Information Technology
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• v.11 no.9
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• pp.17-27
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• 2021

The aim of this research was to identify the issue of the work permit system and consciousness of the people on the system, and to suggest some ideas on the government policies on it. To achieve the aim of research, this research used text mining based on social data. This research collected 1,453,272 texts from 6,217 units of online documents which contained 'work permit system' from January to December, 2020 using Textom, and did text-mining and social network analysis. This research extracted 100 key words frequently mentioned from the analyses of data top-level key word frequency, and degree centrality analysis, and constituted job problem, importance of policy process, competitiveness in the respect of industries, and improvement of living conditions of foreign workers as major key words. In addition, through semantic network analysis, this research figured out major awareness like 'employment policy', and various kinds of ambient awareness like 'international cooperation', 'workers' human rights', 'law', 'recruitment of foreigners', 'corporate competitiveness', 'immigrant culture' and 'foreign workforce management'. Finally, this research suggested some ideas worth considering in establishing government policies on the work permit system and doing related researches.

• Annual Conference on Human and Language Technology
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• 1999.10e
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• pp.209-214
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• 1999

패턴기반기계번역방식은 원시언어패턴과 그에 대한 대역언어패턴들의 쌍을 이용하여 구문분석과 변환을 수행하는 기계번역방식이다. 패턴기반 기계번역방식은 번역할 때 발생하는 애매성을 해소하기 위해 패턴의 길이를 문장단위까지 늘이기 때문에, 패턴의 수가 급증하는 문제점을 가진다. 본 논문에서는 패턴의 단위를 구단위로 한정시킬 때 발생하는 애매성을 해소하는 방법으로 시소러스를 기반으로 한 두단계 대역어 선택 방식을 제안함으로써 효과적으로 애매성을 감소시키면서 패턴의 길이를 줄이는 모델을 제시한다. 두단계 대역어 선택 방식은 원시언어의 한 패턴에 대해 여러 가능한 목적언어의 대역패턴들이 있을 때, 첫 번째 단계에서는 원시언어 내에서의 제약조건에 맞는 몇가지 대역패턴들을 선택하고, 두번째 단계에서는 목적언어 내에서의 제약조건에 가장 적합한 하나의 대역패턴을 선택하는 방식이다. 또한 본 논문에서는 이와 같은 모델에서 패턴의 수가 코퍼스의 증가에 따른 수렴가능성을 논한다.

• Journal of Convergence for Information Technology
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• v.7 no.4
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• pp.69-74
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• 2017

ICT(Information Communication Technology) is a key word in our society on today. Various support programs by the government have given many quantitative and qualitative changes to the software industries. Software is instructions(Computer Program) and data structure. Software can be divided into Application program and System program. Application programs have been developed to perform special functions or provide entertainment functions. Because of this rapid growth of software industries, one of the problems is issue on copyright of program. In this paper, we described an analysis method for program similarity based on source code in program.

• The Journal of Korean Association of Computer Education
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• v.7 no.5
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• pp.83-91
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• 2004

Through this research, it was possible to set up classification system between 'Harmful information site' and 'General site' that badly effect to teenagers emotional health. To intercept those entire harmful information sites, it using contents basis isolating. Instead of using existing methods, it picks most frequent using composed key words and adds all those harmful words' harmfulness degree point by using 'ICEC(Information Communication Ethics Committee)' suggested harmful word classification. To testify harmful information blocking system, to classify the harmful information site, set standard harmfulness degree point as 3.5 by the result of a fore study, after that pick up a hundred of each 'Harmful information site' and 'General site' randomly to classify them through new classification system. By this classification could found this new classification system classified 78% of 'Harmful Site' to "Harmful information site' and 96% of 'General Site' to 'General site'. As a result, successfully confirm validity of this new classification system.