• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.21 no.3
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• pp.269-275
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• 2003

The cadastral system which accomplishes the base of national land administration with accuracy of proper data and the cadastral maintenance quickly is agreeing with the actual place in information ages in Inundation. But even in spite of many efforts, various Problems are exposed in accuracy of the data on the cadastral maps and local situation must agree accurately from the process which propels cadastral information systems. Therefore, it must be carried out the cadastral non correspondence arrangement first of all in link of the plan which it corrects the error of existing data and computerization quickly. It summarizes the research as follows ; Cadastral non correspondence of the land boundaries on the map and actual circumstance does not agree with cadastral maps accurately, The lands which exceed the standards with the position error excess of 50cm on lil ,200 and 240cm on 1/6,000 areas on the map scale are the registration correction objectives. It is investigated that the cadastral non correspondence parcels occur in various cause and long period, the area error corrections are mainly objectives, and about 80% of the test area comes to reveal within permitted the limit of the measurement of planimetric area for cadastral survey, so it is not difficult with the fact that the compensation back which it follows in area increase and decrease and the location error correction becomes the important object fer the cadastral non correspondence arrangement projects.

• The Korean Journal of Applied Statistics
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• v.33 no.5
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• pp.615-625
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• 2020

The document-term frequency matrix is a term extracted from documents in which the group information exists in text mining. In this study, we generated the document-term frequency matrix for document classification according to research field. We applied the traditional term weighting function term frequency-inverse document frequency (TF-IDF) to the generated document-term frequency matrix. In addition, we applied term frequency-inverse gravity moment (TF-IGM). We also generated a document-keyword weighted matrix by extracting keywords to improve the document classification accuracy. Based on the keywords matrix extracted, we classify documents using a deep neural network. In order to find the optimal model in the deep neural network, the accuracy of document classification was verified by changing the number of hidden layers and hidden nodes. Consequently, the model with eight hidden layers showed the highest accuracy and all TF-IGM document classification accuracy (according to parameter changes) were higher than TF-IDF. In addition, the deep neural network was confirmed to have better accuracy than the support vector machine. Therefore, we propose a method to apply TF-IGM and a deep neural network in the document classification.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.37 no.5
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• pp.927-940
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• 2017

Landslide has been a major disaster in Indonesia, and recent climate change and indiscriminate urban development around the mountains have increased landslide risks. Java Island, Indonesia, where more than half of Indonesia's population lives, is experiencing a great deal of damage due to frequent landslides. However, even in such a dangerous situation, the number of inhabitants residing in the landslide-prone area increases year by year, and it is necessary to develop a technique for analyzing landslide-hazardous and vulnerable areas. In this regard, this study aims to evaluate landslide susceptibility of Java, an island of Indonesia, by using GIS-based spatial prediction models. We constructed the geospatial database such as landslide locations, topography, hydrology, soil type, and land cover over the study area and created spatial prediction models by applying Weight of Evidence (WoE), decision trees algorithm and artificial neural network. The three models showed prediction accuracy of 66.95%, 67.04%, and 69.67%, respectively. The results of the study are expected to be useful for prevention of landslide damage for the future and landslide disaster management policies in Indonesia.

• Economic and Environmental Geology
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• v.49 no.4
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• pp.325-333
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• 2016

The Ministry of Science, ICT and Future Planning (MSIP) introduced its new Mission Oriented Evaluation System (MOES) for government affiliated research institutes and Government Supported Research Institutes (GSRI) on science and technology in 2013. The Korea Institute of Geoscience and Mineral Resources (KIGAM) is the first MOES applied Science and Technology (S&T) GSRI, that has research divisions focusing on geoscience and geological surveys, mineral resources extraction and utilization, petroleum extraction and marine mineral research, and geological applied and environment research. In appling the final evaluation of MOES on KIGAM, we found difficulty classifing the concepts of research excellence and risk (innovativeness) in guidelines of Research Evaluation Indicators (REIs) of MSIP. We have developed quantitative and qualitative indicators that can present research excellence and risk (innovativeness) through the KIGAM World Class Laboratory (WCL) strategy and related studies, innovative research and development guidelines of MSIP (2013a) and honorable R&D failure guidelines of MSIP (2013b). We have applied our developed REIs in KIGAM which handles basic research, applied and development research and public services. Therefore, our developed REIs can be effectively applied in every S&T GSRI.

• Korean Journal of Food Science and Technology
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• v.43 no.3
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• pp.282-290
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• 2011

Two species of demersal fish, Liparis tessellates (cubed snailfish) and Hemitripterus villosus (shaggy sea raven), were investigated in relation to seasonal chemical composition. Total fat contents of the two fish were very low and were not appreciably different throughout the year, whereas their fatty acid compositions were significantly different depending on season. Noticeable changes in the moisture and protein contents in the two fishes were observed before and after spawning. Cubed snailfish showed relatively high amounts of total amino acids and free amino acids during summer months, whereas the levels of those in shaggy sea raven remained relatively unchanged throughout the year. Regardless of season, the major fatty acid of the two fishes was palmitic acid and most of polyunsaturated fatty acids (PUFAs) were n-3 PUFAs. Lead was over the legislative limit in some samples of the two fishes.

• Journal of Hospice and Palliative Care
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• v.3 no.1
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• pp.28-38
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• 2000

Purpose : This study examined characteristics of, problems of and services provided to hospice recipients and their family members at a home hospice organization. Methods : The subjects were 113 people who were discharged from one free-standing home hospice organization between November, 1994 and lune, 1999. Since the opening of the organization in November of 1994, it has provided hospice services at patients' homes with no charge. Data were collected from those subjects' records. Results : The average age of the subjects was 57.1 years; those aged 60 and over were 54%. Spouse was the most frequent(50.9%) primary caregiver followed by daughter-in-law and daughter. All the subjects were diagnosed as having cancer. Of those 41 subjects who did not know their terminal stage in the beginning, 31 subjects came to know their states. Of the subjects, 72.7% were referred from their physicians. On the average, the service duration and the number of home visits were 6.8 weeks and 7.2 times, respectively. Pain was the most prevalent problem of the subjects(89.4%). Medication management was the most frequently provided service followed by psychological supports. The reasons for discharge were death(88.5%) and refusal(8%). Home was the most frequent place of death(60%). Conclusion Home hospice service providers should be trained particularly in working with elders and in managing cancer pain. People need to be referred at an appropriate time for achieving goals of hospice. Community recognition of hospice services needs to be promoted.

• Journal of Hospice and Palliative Care
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• v.16 no.1
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• pp.20-32
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• 2013

Purpose: The purpose of the study was to develop a feasible form of a Korean version of advance directives (K-AD). Methods: Sixteen adults participated in this study: 10 aged 20~50 years and nine aged 65 years or older. Using a draft version of the K-AD, cognitive interview was conducted on the participants to establish a culturally acceptable form of advance directives whose directions can be understood and responded accordingly by the general population. Results: Cognitive interviews revealed areas of concerns for the draft version of K-AD: lack of instructions or clarity for technical and medical terms, context complexity and inadequate response categories. The draft version was revised by rewording, offering examples and rearranging the context. Editorial style was added with appropriate uses of bold fonts, bullet-points and underlines to facilitate interviewees' cognitive responses. Conclusion: Study results feasibility of the revised version of the K-AD. Further study should be performed with a larger number of participants to develop a K-AD with an acceptable level of reliability and validity.

• Science of Emotion and Sensibility
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• v.14 no.1
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• pp.17-26
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• 2011

Health care service's added value and sustainability has been formed, through the product developing about sports equipment and special equipment for disabled in order to improve the life quality, with the increasing population of elderly and the attention about health care. This research's design and 3 testing sections has been done according to design process for design development of functional bike. 1st test is done through researching from 4 aspects: structure, aesthetic, function and using. In the 2nd testing, 10 universal design items were used to evaluate 10 modeling samples, and sample F which has high evaluation overall was chosen. In 3rd test, evaluation was done from the user service scene about the mock-up with 1/4 scale size. PPP (product performance program) which is constructed with 60 evaluation items about functional bike's service was tested, and these items were fixed through discussing with experts. Through the result we knew the aesthetic elements had relationship with proportion, unity and typicality. In 10 items (55 survey items), the scores of items with physical exposure's minimization, simple and intuitively usage showed high, on the contrary, the other items' scores was very low, such as information delivery's consideration and thought, failure preventing. The evaluation will be done once more by health care experts, designers and elderly together if the physical model could be made for getting accurate measurement about above test result in the future.

• Science of Emotion and Sensibility
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• v.21 no.1
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• pp.177-186
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• 2018

The mechanism of emotion is complex and influenced by a variety of factors, so that it is crucial to analyze emotion in broad and diversified perspectives. In this study, we classified neutral and negative emotions(sadness, fear, surprise) using arousal evaluation, which is one of the psychological evaluation scales, as well as physiological signals. We have not only revealed the difference between physiological signals coupled to the emotions, but also assessed how accurate these emotions can be classified by our emotional recognizer based on neural network algorithm. A total of 146 participants(mean age $20.1{\pm}4.0$, male 41%) were emotionally stimulated while their physiological signals of the electrocardiogram, blood flow, and dermal activity were recorded. In addition, the participants evaluated their psychological states on the emotional rating scale in response to the emotional stimuli. Heart rate(HR), standard deviation(SDNN), blood flow(BVP), pulse wave transmission time(PTT), skin conduction level(SCL) and skin conduction response(SCR) were calculated before and after the emotional stimulation. As a result, the difference between physiological responses was verified corresponding to the emotions, and the highest emotion classification performance of 86.9% was obtained using the combined analysis of arousal and physiological features. This study suggests that negative emotion can be categorized by psychological and physiological evaluation along with the application of machine learning algorithm, which can contribute to the science and technology of detecting human emotion.

• Journal of Biomedical Engineering Research
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• v.25 no.5
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• pp.329-334
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• 2004

The electronic nose (E-nose) recently finds its applications in medical diagnosis, specifically on detection of diabetes, pulmonary or gastrointestinal problem, or infections by examining odors in the breath or tissues with its odor characterizing ability. The odor recognition performance of E-nose can be improved by manipulating the sensor array responses of vapors in time-profile forms. The different chemical interactions between the sensor materials and the volatile organic compounds (VOC's) leave unique marks in the signal profiles giving more information than collection of the conventional piecemal features, i.e., maximum sensitivity, signal slopes, rising time. In this study, to use them in vapor recognition task conveniently, a novel time-profile method was proposed, which is adopted from digital image pattern matching. The degrees of matching between 8 different vapors were evaluated by using the proposed method. The test vapors are measured by the silicon-based gas sensor array with 16 CB-polymer composites installed in membrane structure. The results by the proposed method showed clear discrimination of vapor species than by the conventional method.