• Journal of the Korea Computer Industry Society
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• v.5 no.2
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• pp.193-202
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• 2004

In this paper, we studied about method that instructor and learner execute teaching-learning activities and about the educational effects of a web based practice instruction. And, in practice instruction, we examined about role and influence of instructor, learner and manager. This study shows the method that instructor and learner execute teaching-learning activities and interaction activities in a "construction of e-business system" curriculum to support the informational education for an industrial workers. The research subject was the 15 industrial workers who enrolled a informational instruction coulee provided for two weeks by kimpo college, As a research method, workers survey, interview, and profile analysis were used for this study. The result of this study show that interaction between instructor, learner and manager was not executed actively, but the manner of lecturing about interest of learner, usage of email, question and answer of bulletin board, online-practice were brought an effect on interaction of learner activities and the educational effects.l effects.

• KIPS Transactions on Software and Data Engineering
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• v.4 no.7
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• pp.283-290
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• 2015

In this paper, we propose a hybrid method for the recognition of answer types in the WiseQA system. The answer types are classified into two categories: the lexical answer type (LAT) and the semantic answer type (SAT). This paper proposes two models for the LAT detection. One is a rule-based model using question focuses. The other is a machine learning model based on sequence labeling. We also propose two models for the SAT classification. They are a machine learning model based on multiclass classification and a filtering-rule model based on the lexical answer type. The performance of the LAT detection and the SAT classification shows F1-score of 82.47% and precision of 77.13%, respectively. Compared with IBM Watson for the performance of the LAT, the precision is 1.0% lower and the recall is 7.4% higher.

• The Transactions of the Korea Information Processing Society
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• v.6 no.1
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• pp.134-147
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• 1999

The DNS provides naming services which are the basis for the application of the Internet and the security of the DNS should be provided for the security of the Internet. Recently IETF proposed a method which guarantees the integrity of DNS database contents and DNS queries/replies and distributes host public keys. In this paper we describe the design and implementation of the secure DNS which is built based on the IETF proposal and extended to facilitate its sue and management. In the extended secure DNS, DNS servers are used ad the directory system in a public key infrastructure and stores/distributes user public key certificates. The Web-based management interface and security log functions are added and the extended secure DNS is being built so that new cryptographic algorithms can be easily added.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.38B no.6
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• pp.435-445
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• 2013

One of the most challenging issues in radio frequency identification (RFID) and near field communications (NFC) is to correctly and quickly recognize a number of tag IDs in the reader's field. Unlike the probabilistic anti-collision schemes, a query tree based protocol guarantees to identify all the tags, where the distribution of tag IDs is assumed to be uniform. However, in real implements, the prefix of tag ID is uniquely assigned by the EPCglobal and the remaining part is sequentially given by a company or manufacturer. In this paper, we propose an enhanced M-ary query tree protocol (EMQT), which effectively reduces unnecessary query-response cycles between similar tag IDs using m-bit arbitration and tag expectation. The theoretical analysis and simulation results show that the EMQT significantly outperforms other schemes in terms of identification time, identification efficiency and communications overhead.

• The KIPS Transactions:PartD
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• v.8D no.3
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• pp.221-232
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• 2001

Due to rapid advance of wireless communication technology, demand on data services in mobile environment is gradually increasing. Caching at a mobile client could reduce bandwidth consumption and query response time, and yet a mobile client must maintain cache consistency. It could be efficient for the server to broadcast a periodic cache invalidation report for cache consistency in a cell. In case that long period of disconnection prevents a mobile client from checking validity of its cache based solely on the invalidation report received, the mobile client could request the server to check cache validity. In doing so, some schemes may be more efficient than others depending on the number of available channels and the mobile clients involved. In this paper, we propose new cache consistency schemes, effects, efficient especially (1) when channel capacity is enough to deal with the mobile clients involved or (2) when that is not the case, and evaluate their performance.

• The KIPS Transactions:PartD
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• v.18D no.5
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• pp.329-338
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• 2011

Terminology recognition system which is a preceding research for text mining, information extraction, information retrieval, semantic web, and question-answering has been intensively studied in limited range of domains, especially in bio-medical domain. We propose a domain independent terminology recognition system based on machine learning method using dictionary, syntactic features, and Web search results, since the previous works revealed limitation on applying their approaches to general domain because their resources were domain specific. We achieved F-score 80.8 and 6.5% improvement after comparing the proposed approach with the related approach, C-value, which has been widely used and is based on local domain frequencies. In the second experiment with various combinations of unithood features, the method combined with NGD(Normalized Google Distance) showed the best performance of 81.8 on F-score. We applied three machine learning methods such as Logistic regression, C4.5, and SVMs, and got the best score from the decision tree method, C4.5.

• Journal of Digital Convergence
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• v.19 no.9
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• pp.277-282
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• 2021

The purpose of this thesis is to suggest the direction of various online education media to be developed in the future by studying the necessity and cases of non-face-to-face online craft education programs. To this end, among the online class platforms currently operated in Korea, four places that contain craft education programs were selected and analyzed for comparison. Class101, Hobbyful, Conects-Hobby Class, and Air Klass are examples. As a result of the study, the common features and advantages of the convenience of accessing contents and the diversity of class composition were found. However, there was a limitation in that the real-time inquiry and response system was not systematically implemented in most online class platforms. In particular, as the number of users of the online class platform is gradually increasing in the untact era caused by Covid-19, continuous research and development will be required to ensure that interaction, the most important characteristic of face-to-face, can also be performed well on online platforms.

• Journal of Practical Engineering Education
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• v.12 no.2
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• pp.255-264
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• 2020

In the database design course, the team project is a very important process to develop students' database design competencies. In order to carry out team projects smoothly, active interaction between students and the professor as well as collaboration among team members are very important. However, a full uncontacted class was suddenly decides in the first semester of 2020, it was questionable whether it would be possible to effectively manage this course, where team projects to construct database take up a big portion. However team projects were able to proceed without major problems through interaction using real-time video media such as zoom, and discussions, quizzes, and Q&A supported by the online education support system (LMS), and online presentations, mutual evaluations, and so on. This paper shares the experience of managing engineering team projects in uncontacted classes and based on three surveys introduces desirable improving directions of this instruction and some suggestions to improve uncontacted classes overall.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.1
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• pp.24-29
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• 2022

Semantic role labeling task used in various natural language processing fields, such as information extraction and question answering systems, is the task of identifying the arugments for a given sentence and predicate. Predicate used as semantic role labeling input are extracted using lexical analysis results such as POS-tagging, but the problem is that predicate can't extract all linguistic patterns because predicate in korean language has various patterns, depending on the meaning of sentence. In this paper, we propose a korean predicate recognition method using neural network model with pre-trained embedding models and lexical features. The experiments compare the performance on the hyper parameters of models and with or without the use of embedding models and lexical features. As a result, we confirm that the performance of the proposed neural network model was 92.63%.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.34 no.3
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• pp.451-461
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• 2024

Recently, various AI chatbots based on large language models have been released. Chatbots have the advantage of providing users with quick and easy information through interactive prompts, making them useful in various fields such as question answering, writing, and programming. However, a vulnerability in chatbots called "prompt injection attacks" has been proposed. This attack involves injecting instructions into the chatbot to violate predefined guidelines. Such attacks can be critical as they may lead to the leakage of confidential information within large language models or trigger other malicious activities. However, the vulnerability of Korean prompts has not been adequately validated. Therefore, in this paper, we aim to generate malicious Korean prompts and perform attacks on the popular chatbot to analyze their feasibility. To achieve this, we propose a system that automatically generates malicious Korean prompts by analyzing existing prompt injection attacks. Specifically, we focus on generating malicious prompts that induce harmful expressions from large language models and validate their effectiveness in practice.