• The Journal of the Korea Contents Association
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• v.20 no.7
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• pp.256-262
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• 2020

Since the discussion of Korean writing education began in earnest, the biggest topic of conversation has been genre writing education. And academic writing has become one of the most important research topics in Korean writing education in the past and present days as demand for academic-purpose Korean language education has increased. Academic writing is an area of writing, which is distinct from literary writing as well as practical writing. It takes place with a set of information provided on a particular academic topic or research problem, which generally includes arguments and views on the subject, analyses and criticisms of the issue in question, and alternatives for new perspectives and problem solving. Academic Purpose Korean learners learn Korean for the purpose of academic training. Academic-purpose Korean learners will use the Korean language to write academic articles, and inevitably carry out analytical writing tasks in the process. This paper aims to explore what is the task of analytical writing given to foreign students and to grasp the research problems necessary to educate them. When foreign students encountered analytical writing as an academic writing task, they wanted to clarify what areas of education should be conducted with attention.

• Journal of KIISE:Software and Applications
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• v.37 no.4
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• pp.317-322
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• 2010

This paper proposes how to improve performance of the Korean document sentiment-classification system using semantic properties of the sentiment words. A sentiment word means a word with sentiment, and sentiment features are defined by a set of the sentiment words which are important lexical resource for the sentiment classification. Sentiment feature represents different sentiment intensity in general field and in specific domain. In general field, we can estimate the sentiment intensity using a snippet from a search engine, while in specific domain, training data can be used for this estimation. When the sentiment intensity of the sentiment features are estimated, it is called semantic orientation and is used to estimate the sentiment intensity of the sentences in the text documents. After estimating sentiment intensity of the sentences, we apply that to the weights of sentiment features. In this paper, we evaluate our system in three different cases such as general, domain-specific, and general/domain-specific semantic orientation using support vector machine. Our experimental results show the improved performance in all cases, and, especially in general/domain-specific semantic orientation, our proposed method performs 3.1% better than a baseline system indexed by only content words.

• Journal of Distribution Research
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• v.16 no.3
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• pp.33-75
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• 2011

The ownership structure of a franchise system is determined by the franchisor's strategic choice. A close look at the extant theories and perspectives in economics and management such as resource scarcity theory, agency theory, transaction cost analysis, and mixed ownership theory reveals that firms choose their ownership structure for the sake of economic efficiency, profit potentials, the chance of survival, and other strategic concerns. The present study, on the basis of strategic choice perspective, reviews the divergent theories of a franchise system's ownership structure and its determinants, thus providing a theoretical framework for comparing the contradictory arguments along the several critical dimensions. We also developed and tested the conflicting hypotheses regarding key determinants of ownership structure including firm's age, size, transaction-specific investments, uncertainty, and risk-sharing propensity. Using a FDD (Franchise Disclosure Document) data set of 543 Korean franchisors, we found that the years in business, the total number of employees, days of training, the inverse of the years of franchising, and the requirement of royalty payment have positive relationships with the proportion of company-owned outlets to total number of outlets. On the other hand, the proportion of company-owned outlets was found to have negative relationships with the total number of outlets and the extent of geographic dispersion of outlets, but to have no significant relationships with the initial investment required and the inverse of contract length. Based on the findings, we provide several theoretical and managerial implications for studying ownership structure of franchise systems.

• Journal of Multimedia Information System
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• v.5 no.3
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• pp.147-154
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• 2018

Natural language processing (NLP) is an emerging research area in which we study how machines can be used to perceive and alter the text written in natural languages. We can perform different tasks on natural languages by analyzing them through various annotational tasks like parsing, chunking, part-of-speech tagging and lexical analysis etc. These annotational tasks depend on morphological structure of a particular natural language. The focus of this work is part-of-speech tagging (POS tagging) on Hindi language. Part-of-speech tagging also known as grammatical tagging is a process of assigning different grammatical categories to each word of a given text. These grammatical categories can be noun, verb, time, date, number etc. Hindi is the most widely used and official language of India. It is also among the top five most spoken languages of the world. For English and other languages, a diverse range of POS taggers are available, but these POS taggers can not be applied on the Hindi language as Hindi is one of the most morphologically rich language. Furthermore there is a significant difference between the morphological structures of these languages. Thus in this work, a POS tagger system is presented for the Hindi language. For Hindi POS tagging a hybrid approach is presented in this paper which combines "Probability-based and Rule-based" approaches. For known word tagging a Unigram model of probability class is used, whereas for tagging unknown words various lexical and contextual features are used. Various finite state machine automata are constructed for demonstrating different rules and then regular expressions are used to implement these rules. A tagset is also prepared for this task, which contains 29 standard part-of-speech tags. The tagset also includes two unique tags, i.e., date tag and time tag. These date and time tags support all possible formats. Regular expressions are used to implement all pattern based tags like time, date, number and special symbols. The aim of the presented approach is to increase the correctness of an automatic Hindi POS tagging while bounding the requirement of a large human-made corpus. This hybrid approach uses a probability-based model to increase automatic tagging and a rule-based model to bound the requirement of an already trained corpus. This approach is based on very small labeled training set (around 9,000 words) and yields 96.54% of best precision and 95.08% of average precision. The approach also yields best accuracy of 91.39% and an average accuracy of 88.15%.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.06a
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• pp.895-901
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• 2007

Currently the advancement of the computer and the Internet sees the direction of studying freely to do, it does not receive not to be, the student the environment it will be able to study oneself it is doing the direct help of the teacher and to be possible. Plan and it embodied the high school information society which it follows in 7th curriculum and the WBI of computer subject from the dissertation which it sees. In order to improve the qualify of curriculum ultimately, it endeavored. Territory it analyzes a subject contents first, especially it surveys, foundation it hardens, the actual training semester and pure with studying of self-evaluation do to become accomplished, studying oneself to sleep the possibility of doing own lead studying which is the possibility of studying spontaneously and integrated textbook studying in same tine it does to be with they are composing of the education paradigm the flag for a problem solving ability and an originality accident. In this dissertation used the php, Apache web server and the DBMS used the MySQL. To program member joining, the information society and computer curriculum take a course and test, it questions and, it is composed to data mourge. After taking a course, simultaneously lecturing a paper and online instruction, set up a foundation and quering that gratify one's curiosity thus it will be able to digest a study in once.

• The Journal of the Korea Contents Association
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• v.18 no.10
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• pp.415-424
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• 2018

The purpose of this study was to examine the physical environmental readiness for smart learning and the actual utilization of smart devices by special education teachers, and to suggest ways to vitalize smart education. For this, a 14-item survey questionnaire was developed, which touched upon issues regarding the availability of wireless internet service and teachers' utilization of smart devices. An online survey was conducted among a randomly chosen sample of 991 special education teachers across the nation, including teachers who work at special schools for developmentally disabled students and in special classes at all three levels of regular schools.The collected data was analyzed with the method of a cross-time-frequency analysis using a SPSS 21.0 statistics program. The research findings indicated that both special schools and classes had a poor smart education environment and that special education teachers were having a harding time because of the lack of the infrastructure and additional expenses. In addition, special education teachers were found to use smart device mostly for the purpose of motivating students. These research findings propose that it is urgent to set up a proper smart education environment for special needs students and to provide a systematic training program for special education teachers.

• Journal of Navigation and Port Research
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• v.40 no.4
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• pp.213-222
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• 2016

Recently, as cases of organizations' information disclosure occur continuously, it is urgent to manage security of information and establish measures to enhance security of information by an organization itself. Especially, members of an organization should be prepared with measures for information security, and an organization should do its efforts to raise its members' awareness toward information security. I set a research model to verify what effects an organization's fulfillment of regulations to secure information brings to performance of information security and selected members from maritime and port organizations and financial and insurance institutes as sample. Results of the analysis to identify factors affecting information security performance among members of maritime and port organizations are as follows. Firstly, I found that the factors affecting information security awareness are information security attitude and information security standards. Secondly, the factor giving influence on information security policy of an organization was found to be information security standards. In contrast, information security punishments and information security training were verified not to give influence on compliance of information security policy. Thirdly, information security awareness was identified to give significant influence on compliance of information security policy, information security competence and information security behavior. Fourthly, compliance of information security policy was verified to be those factors that give influence on information security competence and information security behavior. Lastly, information security competence and information security behavior were found to be such factors that give influence on information security performance.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.347-350
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• 2018

In order for an IoT system to automatically make the house temperature pleasant for the user, the system needs to predict the optimal start-up time of air-conditioner or heater to get to the temperature that the user has set. Predicting the optimal start-up time is important because it prevents extra fee from the unnecessary operation of the air-conditioner and heater. This paper introduces an ANN(Artificial Neural Network) and an IoT system that predicts the cooling and heating time in households using air-conditioner and heater. Many variables such as house structure, house size, and external weather condition affect the cooling and heating. Out of the many variables, measurable variables such as house temperature, house humidity, outdoor temperature, outdoor humidity, wind speed, wind direction, and wind chill was used to create training data for constructing the model. After constructing the ANN model, an IoT system that uses the model was developed. The IoT system comprises of a main system powered by Raspberry Pi 3 and a mobile application powered by Android. The mobile's GPS sensor and an developed feature used to predict user's return.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.22 no.11
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• pp.2594-2603
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• 1997

A novel method of adaptive beam forming is presented in this paper. The proposed technique provides for a suboptimal beam pattern that increases the Signal to Noise/Interference Ratio (SNR/SIR), thus, eventually increases the capacity of the communication channel, under an assumption that the desired signal is dominant compared to each component of interferences at the receiver, which is precoditionally achieved in Code Division Multiple Access (CDMA) mobile communications by the chip correlator. The main advantages of the new technique are:(1)The procedure requires neither reference signals nor training period, (2)The signal interchoerency does not affect the performance or complexity of the entire procedure, (3)The number of antennas does not have to be greater than that of the signals of distinct arrival angles, (4)The entire procedure is iterative such that a new suboptimal beam pattern be generated upon the arrival of each new data of which the arrival angle keeps changing due tot he mobility of the signal source, (5)The total amount of computation is tremendously reduced compared to that of most conventional beam forming techniques such that the suboptimal beam pattern be produced at vevery snapshot on a real-time basis. The total computational load for generating a new set of weitht including the update of an N-by-N(N is the number of antenna elements) autocovariance matrix is $0(3N^2 + 12N)$. It can further be reduced down to O(11N) by approximating the matrix with the instantaneous signal vector.

• The KIPS Transactions:PartB
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• v.18B no.5
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• pp.315-324
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• 2011

In Web environment, a flood of spam causes serious social problems such as personal information leak, monetary loss from fishing and distribution of harmful contents. Moreover, types and techniques of spam distribution which must be controlled are varying as days go by. The learning based spam classification method using Bag-of-Words model is the most widely used method until now. However, this method is vulnerable to anti-spam avoidance techniques, which recent spams commonly have, because it classifies spam documents utilizing only keyword occurrence information from classification model training process. In this paper, we propose a spam document detection method using a characteristic of repeating words occurring in spam documents as a solution of anti-spam avoidance techniques. Recently, most spam documents have a trend of repeating key phrases that are designed to spread, and this trend can be used as a measure in classifying spam documents. In this paper, we define six variables, which represent a characteristic of word repetition, and use those variables as a feature set for constructing a classification model. The effectiveness of proposed method is evaluated by an experiment with blog posts and E-mail data. The result of experiment shows that the proposed method outperforms other approaches.