• Journal of the Korean Society of Marine Environment & Safety
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• v.26 no.2
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• pp.121-128
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• 2020

The Marine Safety Culture Index (MSCI) was developed in the year 2018 for objectively assessing the public safety culture levels and for incorporating it as data to spread knowledge regarding the marine safety culture. The method for calculating the safety culture index should include issues that may affect the safety culture and should consist of appropriate attributes for estimating the current status. In addition, continuous verification and supplementation are required for addressing social and economic changes. In this study, to determine whether the questionnaire designed by marine experts reflects the people's interests and needs, we analyzed 915 marine safety proposals. Text mining was employed for analyzing the unstructured data of the marine safety proposals, and network analysis and topic modeling were subsequently performed. Analysis of the marine safety proposals was centered on attributes such as education, public relations, safety rules, awareness, skilled workers, and systems. Eighteen questions were modified and supplemented for reflecting the marine safety proposals, and reliability of the revised questions was analyzed. Furthermore, compared to the previous year, the questionnaire's internal consistency was improved upon and was rated at a high value of 0.895. It is expected that by employing the derived marine safety culture index and incorporating the improved questionnaire that reflects the requirements of marine experts and the people, the improved questionnaire will contribute to the establishment of policies for spreading knowledge regarding the marine safety culture.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.5 no.2
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• pp.237-256
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• 1998

Death and dying of human being is a comprehensive system, and death orientation, the subjective meaning related to every component of the death system is developed throughout life. This study was designed and carried out to identify, describe and classify the orientations of Korean adult towards the death system. In an attempt to measure the subjective meaning of death and dying, unstructured Q-methodology was used. The 65 Q-statements developed by Kim(1994), used by Kim(1994) and Park(1996) were adopted as Q-population and 39 Q-statements were selected by the three researchers for Q-items for this study. Thirty-three P-samples were sampled from P-population of literate Korean men and women, 35 and 55 years of age, lived in urban Korea for the last 10 years. Sortings of the 39 Q-items according to the level of personal agreement, and a forced normal distribution into the 9 levels were carried out by the P-samples. The Z-scores of the Q-sort data were computed, and the principal components factor analysis by PC-QUANL Program were carried out. The demographic, socio-cultural and health-related attributes of the P-samples were descriptively analysed. Eight types of death orientation were identified ; Type I ; 'naturalist'. Six P-samples. Death is a natural phenomena, to be accepted as it is and to follow its natural course. Prefer to be informed of all facts and possibilities concernig the course of dying and death to occur to self. Type II ; 'life-after-life negator'. Three P-samples. Time and process of death is the destiny of each person. Death means 'darkness' and 'end to every thing, the absolute end'. Yet, wish physical integrity at the dying and after death. Type III ; 'life-after-life believer'. Six P-samples. Men are travellers passing by this life bound to the life-after-life. Priority concerns are on the activities to prepare self for the eternal life ahead. Disregard premature and sudden death. Type IV ; 'here-now believer' Five P-samples. Positive regard to the cremation of the body and donation of the organs on death. Regard religious and customary post-motem rituals meaningless. Negate life-after life. Type V; 'believer of rituals'. Five P-samples. Death being accepted as a part of, a natural end to, and destiny of human life. Concerned to ensure a dignified end to personal life and dignified post-mortem rituals. Type VI ; 'Realist'(derived from Type I). Two P-samples. Life and death as universal reality. The abrupt death at golden age at the peak of happiness is favored to avoid inevitable physical and mental distress of self and the family. Agreed to the cremation of the body. Disregard rituals. Type VII : 'Fatalist' (derived from Type II). Five P-samples. Not favored, yet, all man are destined to death, the inevitable end of all living beings. To ensure dignified end by personal consummation, information on one's dying and imminent death are to be shared. Type VIII ; 'reality avoider'(derived from Type III). One P-sample. Negative to longevity, artificial prolongation of, meaningless and distressful life. Highly positive to postmortem organ donation.

• The Journal of Society for e-Business Studies
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• v.25 no.1
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• pp.13-33
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• 2020

This study proposes a Korean sentimental analysis algorithm that utilizes a letter-unit embedding and convolutional neural networks. Sentimental analysis is a natural language processing technique for subjective data analysis, such as a person's attitude, opinion, and propensity, as shown in the text. Recently, Korean sentimental analysis research has been steadily increased. However, it has failed to use a general-purpose sentimental dictionary and has built-up and used its own sentimental dictionary in each field. The problem with this phenomenon is that it does not conform to the characteristics of Korean. In this study, we have developed a model for analyzing emotions by producing syllable vectors based on the onset, peak, and coda, excluding morphology analysis during the emotional analysis procedure. As a result, we were able to minimize the problem of word learning and the problem of unregistered words, and the accuracy of the model was 88%. The model is less influenced by the unstructured nature of the input data and allows for polarized classification according to the context of the text. We hope that through this developed model will be easier for non-experts who wish to perform Korean sentimental analysis.

• Journal of Korea Water Resources Association
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• v.51 no.6
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• pp.481-490
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• 2018

Recently, the spatiotemporal patterns of flood disasters have become more complex and unpredictable due to climate change. Flood hazard map including information on flood risk level has been widely used as an unstructured measure against flooding damages. In order to product a high-precision flood hazard map by combination of hydrologic and hydraulic modeling, huge digital information such as topography, geology, climate, landuse and various database related to social economic are required. However, in some areas, especially in developing countries, flood hazard mapping is difficult or impossible and its accuracy is insufficient because such data is lacking or inaccessible. Therefore, this study suggests a method to delineate large scale flood-prone area based on topographic factors produced by linear binary classifier and ROC (Receiver Operation Characteristics) using globally-available geographic data such as ASTER or SRTM. We applied the proposed methodology to five different countries: North Korea Bangladesh, Indonesia, Thailand and Myanmar. The results show that model performances on flood area detection ranges from 38% (Bangladesh) to 78% (Thailand). The flood-prone area detection based on the topographical factors has a great advantage in order to easily distinguish the large-scale inundation-potent area using only digital elevation model (DEM) for ungauged watersheds.

• Journal of Biosystems Engineering
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• v.28 no.6
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• pp.511-516
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• 2003

Computer vision technology has been utilized as one of the most powerful tools to automate various agricultural operations. Though it has demonstrated successful results in various applications, the current status of technology is still for behind the human's capability typically for the unstructured and variable task environment. In this paper, a man-machine interactive hybrid decision-making system which utilized a concept of tole-operation was proposed to overcome limitations of computer image processing and cognitive capability. Tasks of greenhouse watermelon cultivation such as pruning, watering, pesticide application, and harvest require identification of target object. Identifying water-melons including position data from the field image is very difficult because of the ambiguity among stems, leaves, shades. and fruits, especially when watermelon is covered partly by leaves or stems. Watermelon identification from the cultivation field image transmitted by wireless was selected to realize the proposed concept. The system was designed such that operator(farmer), computer, and machinery share their roles utilizing their maximum merits to accomplish given tasks successfully. And the developed system was composed of the image monitoring and task control module, wireless remote image acquisition and data transmission module, and man-machine interface module. Once task was selected from the task control and monitoring module, the analog signal of the color image of the field was captured and transmitted to the host computer using R.F. module by wireless. Operator communicated with computer through touch screen interface. And then a sequence of algorithms to identify the location and size of the watermelon was performed based on the local image processing. And the system showed practical and feasible way of automation for the volatile bio-production process.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.3 no.2
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• pp.153-169
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• 1996

This study was designed to identify, describe and classify orientations of cancer patient's family members to death and to identify factors related to their attitudes on death. Death to the male is understood as a comprehensive system and believed to be highly subjective experience. Therefore attitude on death is affected by personalities. As an attempt to measure the subjective meaning toward death, the unstructured Q-methodology was used. Korean Death Orientation Questonaire prepared by Kim was used. Item-reliability and Sorting-reliability were tested. Forty five cancer patients' family members hospitalized in one university medical center in Seoul were sampled. Sorting the 65 Q-itmes according to the level of personal agreement ; A forced normal distribution into the 11 levels, were carried out by the 45 P-samples. The demographic data and information related to death orientation of the P-sample was collected through face to face in depth interviews. Data was gathered from August 30 till September 22, 1995. The Z-scores of the Q-items were computed and principal component factor analysis was carried out by PC-QUANL Program. Three unique types of the death orientation were identified and labeled. Type I consists of twenty P-samples. Life and death was accepted as people's destiny, They firmly believed the existence of life after life. They kept aloof from death and their concern was facing the and of the life with dignity, They were in favor of organ donation. Type II consists of Nine P-Samples. They considered that death was the end of everything and did not believed the life after life. They were very concerned about the present life. Type III consists of Sixteen P-samples. They regarded the death as a natural phenomena. And they considered that the man is just a traveller and is bound to head for the next life which is believed to be free of agony, pain or darkness. They neither feared death nor its process. Their conserns were on the activities to prepare themselves for the eternal-life after death. Thus, it was concluded that there were three distinctiven type of attitudes on death among cancer patient family members, and their death attitudes were affected by demographic and socio-cultural factors such as sex, education, and religion.

• Informatization Policy
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• v.24 no.3
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• pp.3-26
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• 2017

The amount of unstructured data generated online is increasing exponentially and the analysis of text data is being done in various fields. In order to identify the research trends on the platform government, the title, year, academic society, and abstract information of the academic papers on the subject of platform government were collected from the database of the domestic papers, DBPIA(www.dbpia.co.kr). The results of the existing research on the platform government and related fields were analyzed based on each stage of the national informatization promotion. The technology, service, and governance topics were extracted from papers on platform government and the trends of core topics were analyzed by year. Entering the era of the intelligent information society, this study has significance for providing the basis for defining a new role of government - the platform government that sets the stage for the private sector to lead the innovation, and plays the role of an 'enabler' and 'facilitator' instead. The purpose of this study is to understand the platform government research through objective analysis of its trends. Looking for future directions, this study will contribute to future research by providing reference materials.

• KIPS Transactions on Software and Data Engineering
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• v.7 no.12
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• pp.485-496
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• 2018

So far, the deep learning, a field of artificial intelligence, has achieved remarkable results in solving problems from unstructured data. However, it is difficult to comprehensively judge situations like humans, and did not reach the level of intelligence that deduced their relations and predicted the next situation. Recently, deep neural networks show that artificial intelligence can possess powerful relational reasoning that is core intellectual ability of human being. In this paper, to analyze and observe the performance of Relation Networks (RN) among the neural networks for relational reasoning, two types of RN-based deep neural network models were constructed and compared with the baseline model. One is a visual question answering RN model using Sort-of-CLEVR and the other is a text-based question answering RN model using bAbI task. In order to maximize the performance of the RN-based model, various performance improvement experiments such as hyper parameters tuning have been proposed and performed. The effectiveness of the proposed performance improvement methods has been verified by applying to the visual QA RN model and the text-based QA RN model, and the new domain model using the dialogue-based LL dataset. As a result of the various experiments, it is found that the initial learning rate is a key factor in determining the performance of the model in both types of RN models. We have observed that the optimal initial learning rate setting found by the proposed random search method can improve the performance of the model up to 99.8%.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.309-311
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• 2014

Despite increasing demands for big data application based on the analysis of scattered unstructured data, few relevant studies have been reported. Accordingly, the present study suggests a technique enabling a sentence-based semantic analysis by extracting objects from collected web information and automatically analyzing the relationships between such objects with collective intelligence and language processing technology. To be specific, collected information is stored in DBMS in a structured form, and then morpheme and feature information is analyzed. Obtained morphemes are classified into objects of interest, marginal objects and objects of non-interest. Then, with an inter-object attribute recognition technique, the relationships between objects are analyzed in terms of the degree, scope and nature of such relationships. As a result, the analysis of relevance between the information was based on certain keywords and used an inter-object relationship extraction technique that can determine positivity and negativity. Also, the present study suggested a method to design a system fit for real-time large-capacity processing and applicable to high value-added services.

• Science of Emotion and Sensibility
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• v.22 no.2
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• pp.49-58
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• 2019

In the era of the 4th Industrial Revolution, artificial intelligence (AI) has become one of the core technologies in terms of the business strategy among information technology companies. Both international and domestic major portal companies are launching AI search services. These AI search services utilize voice, images, and other unstructured data to provide different experiences from existing text-based search services. An unfamiliar experience is a factor that can hinder the usability of the service. Therefore, the usability testing of the AI search services is necessary. This study examines the usability of the AI search service on the Naver App 8.9.3 beta version by comparing it with the search services of the current Naver App and targets 30 people in their 20s and 30s, who have experience using Naver apps. The usability of Smart Lens, Smart Voice, Smart Around, and AiRS, which are the Naver App beta versions of their artificial intelligence search service, is evaluated and statistically significant usability changes are revealed. Smart Lens, Smart Voice, and Smart Around exhibited positive changes, whereas AiRS exhibited negative changes in terms of usability. This study evaluates the change in usability according to the application of the artificial intelligence search services and investigates the correlation between the evaluation factors. The obtained data are expected to be useful for the usability evaluation of services that use AI.