• Journal of the Korean Institute of Gas
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• v.22 no.2
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• pp.1-20
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• 2018

Despite many measures, still from time to time catastrophic events occur, even after reviewing potential scenarios with HAZID tools. Therefore, it is evident that in order to prevent such events, answering the question: "What can go wrong?" requires more enhanced HAZID tools. Recently, new system based approaches have been proposed, such as STPA (system-theoretic process analysis) and Blended Hazid, but for the time being for several reasons their availability for general use is very limited. However, by making use of available advanced software and technology, traditional HAZID tools can still be improved in degree of completeness of identifying possible hazards and in work time efficiency. The new HAZID methodology proposed here, the Data-based semi-Automatic HAZard IDentification (DAHAZID), seeks to identify possible scenarios with a semi-automated system approach. Based on the two traditional HAZID tools, Hazard Operability (HAZOP) Study and Failure Modes, Effects, and Criticality Analysis (FMECA), the new method will minimize the limitations of each method. This will occur by means of a thorough systematic preparation before the tools are applied. Rather than depending on reading drawings to obtain connectivity information of process system equipment elements, this research is generating and presenting in prepopulated work sheets linked components together with all required information and space to note HAZID results. Next, this method can be integrated with proper guidelines regarding process safer design and hazard analysis. To examine its usefulness, the method will be applied to a case study.

• Korean Journal of Cognitive Science
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• v.18 no.2
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• pp.91-112
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• 2007

Two experiments were conducted to examine psychological reality and incremental nature of thematic processing in Korean sentence comprehension. By using two different types of verbs (i.e., transitive and causative verbs), we manipulated necessity of the thematic reanalysis (i.e., consistent vs. inconsistent condition) in the coordinated sentence structures. In Experiment 1, there was no significant difference in the reading times of the verbs between the consistent and the inconsistent condition. However, there was significant differences in question answering times between the two conditions. In Experiment 2 in which we changed a noun phrase of the test sentences into inanimate one, we found significant thematic reanalysis effects in the reading times of the final verbs. Based on these results we discussed the theoretical importance and universality of the thematic processes.

• The Journal of the Korea Contents Association
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• v.18 no.5
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• pp.311-318
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• 2018

This paper presents the artistic background and implementation structure of a conversational artificial intelligence interactive artwork, "An Evolving GAIA". Recent artworks based on artificial intelligence technology are introduced. Development of biomimetics and artificial life technology has burred differentiation of machine and human. In this paper, artworks presenting machine-life metaphor are shown, and the distinct implementation of conversation system is emphasized in detail. The artwork recognizes and follows the movement of audience using its eyes for natural interaction. It listens questions of the audience and replies appropriate answers by text-to-speech voice, using the conversation system implemented with an Android client in the artwork and a webserver based on the question-answering dictionary. The interaction gives to the audience discussion of meaning of life in large scale and draws sympathy for the artwork itself. The paper shows the mechanical structure, the implementation of conversational system of the artwork, and reaction of the audience which can be helpful to direct and make future artificial intelligence interactive artworks.

• Journal of Korean Academy of Nursing
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• v.30 no.1
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• pp.225-239
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• 2000

This study is a research of conceptual development to find the factors of presence. The concept and the definition of presence received from literary review. On the basis of these findings, we formulate the contents of presence through structured interview guide composed of open-ended questionnaire which included the frequency, attitude, and posture. We selected 104 samples who are the patients, doctors, nurses, and other health providers. And then the contents of presence were established after integrating the formulated contents and putting them in order. The categorizing of the presence was made after discussing with specialist in this field. By using the selected contents, we made 25 statements of presence which were categorized into three factors. The results were as follows: 1. The definition of presence is being with at the same time and space, making attention with openness, and the therapeutic interaction with empathy. 2. The contents of presence through personal interviews are The time required is 5 minutes(46.15%), 2-3 minutes(34.61%), and 10 minutes (15.38%) respectively. The frequency of visiting is 3 times(39.20%), every time(23.07%), and more than 5 times(20.19%) respectively. \circled2 In case of being with nurse is having pain(39.42%), suffering trouble or severe fear(9.61%), feeling discomfort(8.65%), taking care of wound(7.69%), and other unfavorable symptoms(6.73%) respectively. \circled3 The posture being with nurse is depends on the situations(63.46%), sitting(26.92%), and standing(9.61%) respectively. Eye contact with nurse is face to face(78.84%), depends on the situations(20.19%), and not face to face(0.96%) respectively. \circled4 The attitudes of comfort are explaining about disease(23.07%), holding on hands (14.42%), touching on the suffering parts (11.53%), and unconditionally being with(7.69%) respectively. \circled5 Nurses' caring actions are kindness (27.88%), replying to the question (12.50%), smiling(10.57%), bright appearances (8.65%), and right and quick treatment(8.65%) respectively. \circled6 The effects of being with are peaceful mind(58.65%), quick recovery(13.46%), and decrease in fear(12.50%) respectively. \circled7 The attitudes of being with are listening (11.53%), recognition(8.65%), talking about discomfort(8.65%), and answering kindly (7.69%) respectively. 3. From the analysis of presence factors, 25 statements and 3 categorized factors are presented.

• Journal of Preventive Medicine and Public Health
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• v.29 no.2 s.53
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• pp.215-225
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• 1996

Decentralization to local governments and amending of Health Center Law are to promote the efforts of health planning at the level of local agencies. In the health facility planning, it is important to take into account that what to be built, where to be located, how far should be service area and so forth, because health facilities are immovable, and require capital as well as personnel and consumable supplies. The aim of our study, answering to the question of 'where to be located?', is to determine the best location of urban health sub-center. At the local level, planning is the matter of finding the best location of specific facilitiy, in relation to population needs. We confine the accessibility, which is basic to location planning, to geographic one. Location-Allocation Model is used to solve the problem where the location is to maximize geographic accessibility. To minimize the weighted travel distance, objective function, $R_k=\sum{\sum}a_{ij}w_{i}d_{ij}$ is used. Distances are measured indirectly by map measure-meter with 1:25,000 Suwon map, and each potential sites, 10 administrative Dongs in Kwonson Gu, Suwon, are weighted by each number of households, total population, maternal age group, child age group, old age group, Relief for the livelihood, and population/primary health clinics. We find that Kuwoon-Dong, Seodun-Dong, Seryu3-Dong, according the descending orders, are best sites which can minimize the weighted distance, and conclude that it is reasonable to determine the location of urban health sub-center among those sites.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.1
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• pp.407-420
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• 2015

Natural Language Question Answering (NLQA) and Prescriptive Analytics (PA) have been identified as innovative, emerging technologies in 2015 by the Gartner group. These technologies require knowledge bases that consist of data that has been extracted from unstructured texts. Every business requires a knowledge base for business analytics as it can enhance companies' competitiveness in their industry. Most intelligent or analytic services depend a lot upon on knowledge bases. However, building a qualified knowledge base is very time consuming and requires a considerable amount of effort, especially if it is to be manually created. Another problem that occurs when creating a knowledge base is that it will be outdated by the time it is completed and will require constant updating even when it is ready in use. For these reason, it is more advisable to create a computerized knowledge base. This research focuses on building a computerized knowledge base for business using a supervised learning and rule-based method. The method proposed in this paper is based on information extraction, but it has been specialized and modified to extract information related only to a business. The business knowledge base created by our system can also be used for advanced functions such as presenting the hierarchy of technologies and products, and the relations between technologies and products. Using our method, these relations can be expanded and customized according to business requirements.

• Journal of the Korean housing association
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• v.22 no.4
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• pp.43-50
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• 2011

In an aging society, as the number of people with disabilities increases concerns are raised about the quality of life of these people and their access to a safe environment becomes important. The purpose of this study is to find out the value of accessibility as an attribute of housing. To estimate the value of accessible, barrier-free housing, this study uses the Contingent Valuation Method (CVM) and analyzes the factors which affect the Willingness To Pay (WTP) of survey respondents by using Survival Analysis. In addition, the importance and satisfaction of barrier-free facilities in the dwellings of survey respondents was investigated. Since aging could be an important factor in influencing the need for accessibility, this study surveyed two age groups, one group (212 respondents) of people below the age of 65 and the other (162 respondents) of people above 65. The results of this study show that respondents would pay on average 2.67% more for being barrier-free when answering an open-ended question and 3.87% more for barrier-free housing when using the double referendum model. This is the increase in value that the respondents perceive as a consequence of removing all the architectural barriers from a dwelling. On average, elderly respondents would pay 2.99% of housing price for accessible features compared to 4.40% of the younger group. However, if the elderly who have willingness to pay for accessibility, the value the older group put on barrier-free housing was higher than the value perceived by the younger group. Factors that influence the WTP are importance of barrier-free facilities, education level and housing type. The value of dwellings without barriers estimated in this study shows the potential size and value of this kind of housing market to the housing development sector.

• Journal of Labour Economics
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• v.39 no.3
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• pp.99-124
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• 2016

This study analyzed the effects of labor unions on the wages of Korean female workers using 'Korean Labor and Income Panel Study.' In the estimation we considered the self-selection bias due to the women's labor force participation decision and a plausible non-response bias from not answering the question about the company size in terms of number of employees. By fixed effect estimation we found that labor unions in Korea do not increase the wages of both the female union workers and non-union workers who work at a company in which a union is organized comparing to female workers who work at company without a union. This results indicates that female workers who work in the company with labor union tend to have unobserved characteristics that are positively correlated with both wages and the probability to enter the company with labor union. We also came to the conclusion that there is no free-rider effects of non-union workers.

• The KIPS Transactions:PartB
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• v.10B no.2
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• pp.229-236
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• 2003

Named entity recognition is the process indispensable to question answering and information extraction systems. This paper presents an HMM based named entity (m) recognition method using the construction principles of compound words. In Korean, many named entities can be decomposed into more than one word. Moreover, there are contextual relationships among nouns in an NE, and among an NE and its surrounding words. In this paper, we classify words into a word as an NE in itself, a word in an NE, and/or a word adjacent to an n, and train an HMM based on NE-related word types and parts of speech. Proposed named entity recognition (NER) system uses trigram model of HMM for considering variable length of NEs. However, the trigram model of HMM has a serious data sparseness problem. In order to solve the problem, we use multi-level back-offs. Experimental results show that our NER system can achieve an F-measure of 87.6% in the economic articles.

• KIPS Transactions on Software and Data Engineering
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• v.3 no.7
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• pp.285-292
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• 2014

A named entity recognition method is used to improve the performance of information retrieval systems, question answering systems, machine translation systems and so on. The targets of the named entity recognition are usually PLOs (persons, locations and organizations). They are usually proper nouns or unregistered words, and traditional named entity recognizers use these characteristics to find out named entity candidates. The titles of books, movies and TV programs have different characteristics than PLO entities. They are sometimes multiple phrases, one sentence, or special characters. This makes it difficult to find the named entity candidates. In this paper we propose a method to quickly extract title named entities from news articles and automatically build a named entity dictionary for the titles. For the candidates identification, the word phrases enclosed with special symbols in a sentence are firstly extracted, and then verified by the SVM with using feature words and their distances. For the classification of the extracted title candidates, SVM is used with the mutual information of word contexts.