• Journal of People, Plants, and Environment
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• v.23 no.3
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• pp.267-276
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• 2020

Background and objective: Agro-healing is crucial with urban farming in the domestic. It is beyond the conventional agriculture. This study was carried out to assess the 2010s researches on domestic agro-healing and predict the future direction of agro-healing development. Methods: Among the articles published from 2010 to 2018, we collected some articles by searching keywords including agro-healing, garden activity, gardening, horticultural activity, horticultural program, horticultural therapy, plant effect, plant environment, plant growing program, plant impact, social gardening, urban agriculture and vegetable garden activity, selected 83 articles that were evaluated in advance, and analyzed by frequency analysis, t-test, and one-way ANOVA with SPSS 20.0. Results: Agro-healing journal articles were published the most in 2010, and have declined since then. In the classification according to the academic society, most of the journal articles were published by the Society for People, Plants, and Environment. The main targets of domestic agro-healing related to activities and programs were preschoolers, children and adolescents, accounting for 52.4% of the total. By the characteristics of the subjects, agro-healing programs and studies were conducted with special participants who needed special care compared to the general participants. The dependent variables were classified into six areas according to their attributes and the share of psychological and emotional areas was highest (42.6%) among them. In terms of the composition of the program, the share of those with 9-12 sessions was highest (36.7%) and the share of those with more than 20 participants was also highest (39.8%). Conclusion: It is recommended to operate agro-healing programs or industries focusing on the socially disadvantaged including those who have special needs or the underprivileged, but in order to create income for farms and expand the demand for agro-healing, it will be necessary to spread the perception that anyone without any physical or emotional issue can be the targets of and experience agro-healing. To meet the different needs of targets of agro-healing, it will be necessary to conduct objective and practical studies on broader areas and in the process the healing functions of agriculture and the strength of agro-healing needs to be further highlighted.

• The Journal of the Korea Contents Association
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• v.22 no.8
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• pp.149-158
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• 2022

For this study, a total of 297 TV advertisements and digital video advertisements were selected as analysis targets among domestic corporate advertisements executed for two years from 2020 to 2021. As a result of the content analysis, it was found that CSR public service advertisements, CSV advertisements, and ESG advertisements in 2020, when the corona pandemic began in earnest and ESG of companies emerged as a business management topic, showed a markedly higher execution frequency than in 2021. As a result of examining the distribution of corporate advertisement types by media, it was found that companies were executing various corporate advertisements through digital media rather than traditional media such as TV. As a result of examining the advertising appeal strategies according to the types of corporate advertisements, it was found that the emotional appeal strategy was most frequently used among the rational appeal, emotional appeal, and mixed appeal as a whole in corporate advertising. As a result of analyzing the advertisement model types according to the classification of corporate advertisements, it was found that corporate advertisements use a general model differently from brand advertisements. Lastly, as a result of examining the distribution of advertisement model types according to media types, it was found that the celebrity model is more frequently used in TV advertisements for digital advertisements.

• The Journal of the Acoustical Society of Korea
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• v.28 no.2
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• pp.112-118
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• 2009

This paper proposes a rapid detection algorithm of a salient region for music video browsing system, which can be applied to mobile device and digital video recorder (DVR). The input music video is decomposed into the music and video tracks. For the music track, the music highlight including musical chorus is detected based on structure analysis using energy-based peak position detection. Using the emotional models generated by SVM-AdaBoost learning algorithm, the music signal of the music videos is classified into one of the predefined emotional classes of the music automatically. For the video track, the face scene including the singer or actor/actress is detected based on a boosted cascade of simple features. Finally, the salient region is generated based on the alignment of boundaries of the music highlight and the visual face scene. First, the users select their favorite music videos from various music videos in the mobile devices or DVR with the information of a music video's emotion and thereafter they can browse the salient region with a length of 30-seconds using the proposed algorithm quickly. A mean opinion score (MOS) test with a database of 200 music videos is conducted to compare the detected salient region with the predefined manual part. The MOS test results show that the detected salient region using the proposed method performed much better than the predefined manual part without audiovisual processing.

• Journal of Intelligence and Information Systems
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• v.26 no.4
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• pp.1-25
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• 2020

Sentiment Analysis (SA) is a Natural Language Processing (NLP) task that analyzes the sentiments consumers or the public feel about an arbitrary object from written texts. Furthermore, Aspect-Based Sentiment Analysis (ABSA) is a fine-grained analysis of the sentiments towards each aspect of an object. Since having a more practical value in terms of business, ABSA is drawing attention from both academic and industrial organizations. When there is a review that says "The restaurant is expensive but the food is really fantastic", for example, the general SA evaluates the overall sentiment towards the 'restaurant' as 'positive', while ABSA identifies the restaurant's aspect 'price' as 'negative' and 'food' aspect as 'positive'. Thus, ABSA enables a more specific and effective marketing strategy. In order to perform ABSA, it is necessary to identify what are the aspect terms or aspect categories included in the text, and judge the sentiments towards them. Accordingly, there exist four main areas in ABSA; aspect term extraction, aspect category detection, Aspect Term Sentiment Classification (ATSC), and Aspect Category Sentiment Classification (ACSC). It is usually conducted by extracting aspect terms and then performing ATSC to analyze sentiments for the given aspect terms, or by extracting aspect categories and then performing ACSC to analyze sentiments for the given aspect category. Here, an aspect category is expressed in one or more aspect terms, or indirectly inferred by other words. In the preceding example sentence, 'price' and 'food' are both aspect categories, and the aspect category 'food' is expressed by the aspect term 'food' included in the review. If the review sentence includes 'pasta', 'steak', or 'grilled chicken special', these can all be aspect terms for the aspect category 'food'. As such, an aspect category referred to by one or more specific aspect terms is called an explicit aspect. On the other hand, the aspect category like 'price', which does not have any specific aspect terms but can be indirectly guessed with an emotional word 'expensive,' is called an implicit aspect. So far, the 'aspect category' has been used to avoid confusion about 'aspect term'. From now on, we will consider 'aspect category' and 'aspect' as the same concept and use the word 'aspect' more for convenience. And one thing to note is that ATSC analyzes the sentiment towards given aspect terms, so it deals only with explicit aspects, and ACSC treats not only explicit aspects but also implicit aspects. This study seeks to find answers to the following issues ignored in the previous studies when applying the BERT pre-trained language model to ACSC and derives superior ACSC models. First, is it more effective to reflect the output vector of tokens for aspect categories than to use only the final output vector of [CLS] token as a classification vector? Second, is there any performance difference between QA (Question Answering) and NLI (Natural Language Inference) types in the sentence-pair configuration of input data? Third, is there any performance difference according to the order of sentence including aspect category in the QA or NLI type sentence-pair configuration of input data? To achieve these research objectives, we implemented 12 ACSC models and conducted experiments on 4 English benchmark datasets. As a result, ACSC models that provide performance beyond the existing studies without expanding the training dataset were derived. In addition, it was found that it is more effective to reflect the output vector of the aspect category token than to use only the output vector for the [CLS] token as a classification vector. It was also found that QA type input generally provides better performance than NLI, and the order of the sentence with the aspect category in QA type is irrelevant with performance. There may be some differences depending on the characteristics of the dataset, but when using NLI type sentence-pair input, placing the sentence containing the aspect category second seems to provide better performance. The new methodology for designing the ACSC model used in this study could be similarly applied to other studies such as ATSC.

• Journal of Korean Academy of Nursing Administration
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• v.5 no.2
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• pp.297-316
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• 1999

The purpose of this study is searching for hemodialysis nursing bahaviors by hemodialysis room nurses and analyzing them. Then, it estimates hemodialysis nursing costs and obtains basic data for development of proper nursing costs. First, it searched for hemodialysis nursing behaviors at a tertiary hospital hemodialysis room in Seoul and classified them. After the content validity was verified by 6 experts, Tool of hemodialysis nursing behaviors was developed. patients who recived hemodialysis were classified by dialysis patient classification tool. The searcher observed hemodialysis nursing behaviors applied to classified patients per 5 minutes. Then hemodialysis nursing hours spent to classified patients were calculated respectively. The direct expenditures and indirect expenditures were estimated. Ultimately, hemodialysis nursing costs were estimated. The results of the study were as follows ; 1. hemodialysis nursing behaviors were grouped by the same knowledge and skills. then, the content validity of them was verified by evaluation tool of nursing intervention classification by expert groups. They consisted of 9 hemodialysis activity domains and 71 hemodialysis nursing behaviors. The predialysis activity domain included 15 nursing behaviors, the activity domain of start-dialysis included 12 nursing behaviors, the activity domain of during- dialysis included 9 nursing behaviors, the activity domain of finish-dialysis included 5 nursing behaviors, the activity domain of after-dialysis included 5 nursing behaviors, the nursing documentation & undertaking and transfering included 5 nursing behaviors, the supply, drug, equipment & environment management activity domain included 7 nursing behaviors, the patient emotional support & education activity domain included 4 nursing behaviors, the emergency activity domain included 9 nursing behaviors. 2. The acute hemodialysis nursing hours were 106.42 minutes per a dialysis and the chroni hemodialysis nursing hours were 72.23 minutes per a dialysis. 3. The direct expenditure was 11.971 won per hour and indirect expenditure was 288won. 4. Finally, the cost of acute hemodialysis was 21,745 won and that of chronic hemodialysis was 14,759 won. By search of hemodialysis nursing behaviors, they will be used as hemodialysis nursing care standard and will be tended toward high qualitative care. Estimation of hemodialysis nursing costs will be used as fundamental data for development of proper nursing costs.

• Journal of Korean Academy of Nursing
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• v.30 no.6
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• pp.1455-1466
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• 2000

The purpose of this study was to develop the framework of community-based home care nursing delivery system, and to demonstrate and evaluate the efficiency of it. The study was carned out over a period of 3years from September 1996 to August 1999. The researchers developed Standards for operations, this was all aimed toward a home care recording system, and an assessment intervention algorithm for various diseases quality control and standardization. In the center, 185 patients enrolled, and of the enrollments cerebrovascular disorder and cancer were the most prevailment diseases. Also, a home care nursing activity classification was developed in six domains. Those domains were assessment, medication, treatment, education and consultation, emotional care, and referral or follow-up care. Ten sub-domains were divided according to the systematic needs. Among these nursing activities, treatment, assessment, and education and consultation were frequently performed. In sub-domain classification, skin integrity, respiration, circulation, and immobility related care were provided most frequently. The cost of home care nursing per visit was also suggested. The cost include direct and indirect nursing care, management, and transportation cost. Also, the researchers tried to overcome the limitations of hospital-based home care to provide more accessible, efficient, safe, and stable home care nursing. Therefore, clients were referred from other patients, families, public health care centers, industries, and even hospitals. As a result of this study, several limitations of operation were found. First, it was difficult to manage and communicate with doctor in the emergency situations. Second, there was too much time spent for transportation. This was because they are only five nurses, who cover all of the areas of Seoul and nearby cities. Third, preparation for special care of home care nurses was lacking. Fourth, criteria for the termination of care and the frequency of home visits were ambiguous. Finally, interconnection with home care machinery company was so yely needed. New paragraphs' strategies for solving these problems were suggested. This study will be the basis of community-based home care nursing, and the computerized information delivery system for home care nursing in Korea.

• Journal of Korean Academy of Nursing Administration
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• v.5 no.3
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• pp.547-561
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• 1999

The purpose of this study was to determine which nursing activities are performed for patients in each of the nine KDRGs and to examine common nursing activities between patients with the nine KDRGs and special nursing activities which were not common to patients with the nine KDRGs. The study will provide basic data for estimation of nursing fees. The nine KDRGs in model project are Lens procedures, tonsillectomy, &/or adenoidectomy, appendectomy &/or not complicate principal diagnosis, vaginal delivery, cesarean section, anal & stomal procedures, inguinal & femoral hernia, uterine & adneza procedure for nonmalignancy, and simple pneumonia & pleurisy. To determine the nursing activities for each of the nine KDRG, checklists of nursing activities in each nine KDRG were developed from the literature and a total of 115 records of patients 'who were diagnosed and discharged between January and April, 1999 from a tertiary medical center. Nursing activities for each of the nine KDRG were verified through two consecutive content analyses. The results of study are followed as: 1. The checklists of nursing activities developed included direct and indirect nursing activities, for a total of 241 nursing activities. Direct nursing consisted of physical, educational, emotional-socioecomomic-spiritual nursing in 17 areas. Indirect nursing had four areas. 2. Through the two consecutive content analyses, 197 nursing activities were selected, having item CVIs of .83 or more. Those included 81 nursing activities for Lens procedures, 95 for Tonsillectomy &/or Adenoidectomy. 93 in Appendectomy &/or not complicated principal diagnosis, 155 for vaginal delivery, 172 for cesarean section, 89 for anal & stomal procedures, 93 for inguinal & femoral hernia, 108 for uterine & adneza procedures for non-malignancy, and 68 for simple pneumonia & pleurisy. 3. Nursing activities for each of the nine KDRG were compared. Activities with 80% or higher commonality within the nine KDRGs consisted of 86 of 197 nursing activities for the total designated common nursing activities, 30 common nursing activities for patients in the operation group, 45 common activities for patients in the delivery Group. Special nursing activities not common within the nine KDRGs were : 3 for Lens procedures, 1 for Tonsillectomy &/or Adenoidectomy. 2 for Appendectomy &/or not complicated principal diagnosis, 27 for vaginal delivery, 21 for Cesarean section, 6 for anal & stomal procedures, 3 for inguinal & femoral hernia, 16 for uterine & adneza procedure for non-malignancy, 8 for simple pneumonia & pleurisy. In this study, nursing activities for each of the nine KDRGs verified through two consecutive content analyses are those that are performed in the hospital. And, nursing activities for each of the nine KDRGs included all nursing activities from hospital admission to discharge. So. the checklists consisted of nursing activities that allow for an estimation of nursing fees under PPS. The classification of nursing activities in the study will provide a reference for the development of a nursing activity classification.

• Journal of Sasang Constitutional Medicine
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• v.8 no.2
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• pp.41-68
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• 1996

This thesis is a try for examining the historical characteristics of Constiutional medicine. For this purpose, I have examined their theory, and made a comparison carefully. Through this study, I have obtained several results as following. Both Chang and Lee lived in the time of change, which was unstable and uncertain. Under the condition, they both rejected following the existing trends of learned circles, and developed new thoughts and clinical techniques. They rejected superstitious beliefs and fatalism, and conducted the pursuit of experimental knowledge and rationale idea. Clinical experience was the very base of their study. They both criticized the bad habits of abuse of tonifing medication and health seeking. Especially Lee regarded control of emotion and regulation of a way of life as the best way for preservation of one's health. Chang regarded pathogenic factors as the ultimate factor of diseases, and strived for eliminating pathogenic factors, but L brought to a conclusion that the final factor of diseases was what is called "heart" itself, and emotional changes were the most essential causes of disease. It can be said that the pathogenesis insisted by Chang can be called The insistence that pathologic factors are the very etiology of all the disease (邪氣致病論), or all the diseases result from pathologic factors. And his whole remedy can be summarized as following, A study on the method of eliminating pathogenic factors. But the purpose of Constitutional medicine is to correct imbalance intrinsic to one's internal organs. In this aspect, Constitutional medicine is a "regulatory medicine". Depending on the classification of six vital substances, Chang classified all disease into six categories. These were based on symptoms and sings represented. While classification of diseases made by Lee was likely to rely upon constitutional characteristics. Chang thought that the three remedies made up of perspiration, purgation, vomiting were the most efficient way of eliminating pathogenic factors. Lee, however, thought those weren't methods of eliminating pathogenic factors but the best ways restoring one's self-regulation power. Chang thought that all the febrile disease essentially has a tendency in properties to belong to "heat", but Lee pointed out that pathologic processes are variable in accordance with constitutional features. They both regarded pathogenesis of diabetes as fire. That is to say, fire is the most essential factor of diabetes. And there are many risk factors such as inappropriate foods, drugs, climate, etc., but Lee thought what is most important is heart. Putting all accounts together, medical characteristics of Chang are similar to those of T aiyinjen and Shaoyangjen, and have no relation to those of those of Shaoyinjen. Therefore we can conclude that Chang understood pathologic processes of disease of T aiyinjen and Shaoyangjen, whether he knew about constitutional features or not.

• Journal of IKEEE
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• v.21 no.4
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• pp.397-403
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• 2017

In the modern society, psychological diseases and impulsive crimes due to stress are occurring. In order to reduce the stress, the existing treatment methods consisted of continuous visit counseling to determine the psychological state and prescribe medication or psychotherapy. Although this face-to-face counseling method is effective, it takes much time to determine the state of the patient, and there is a problem of treatment efficiency that is difficult to be continuously managed depending on the individual situation. In this paper, we propose an artificial intelligence emotion management system that emotions of user monitor in real time and induced to a table state. The system measures multiple bio-signals based on the PPG and the GSR sensors, preprocesses the data into appropriate data types, and classifies four typical emotional states such as pleasure, relax, sadness, and horror through the SVM algorithm. We verify that the emotion of the user is guided to a stable state by providing a real-time emotion management service when the classification result is judged to be a negative state such as sadness or fear through experiments.

• Journal of the Korean Society for information Management
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• v.39 no.1
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• pp.91-117
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• 2022

The number of depressed patients in Korea and around the world is rapidly increasing every year. However, most of the mentally ill patients are not aware that they are suffering from the disease, so adequate treatment is not being performed. If depressive symptoms are neglected, it can lead to suicide, anxiety, and other psychological problems. Therefore, early detection and treatment of depression are very important in improving mental health. To improve this problem, this study presented a deep learning-based depression tendency model using Korean social media text. After collecting data from Naver KonwledgeiN, Naver Blog, Hidoc, and Twitter, DSM-5 major depressive disorder diagnosis criteria were used to classify and annotate classes according to the number of depressive symptoms. Afterwards, TF-IDF analysis and simultaneous word analysis were performed to examine the characteristics of each class of the corpus constructed. In addition, word embedding, dictionary-based sentiment analysis, and LDA topic modeling were performed to generate a depression tendency classification model using various text features. Through this, the embedded text, sentiment score, and topic number for each document were calculated and used as text features. As a result, it was confirmed that the highest accuracy rate of 83.28% was achieved when the depression tendency was classified based on the KorBERT algorithm by combining both the emotional score and the topic of the document with the embedded text. This study establishes a classification model for Korean depression trends with improved performance using various text features, and detects potential depressive patients early among Korean online community users, enabling rapid treatment and prevention, thereby enabling the mental health of Korean society. It is significant in that it can help in promotion.