• Journal of Korean Academy of Nursing
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• v.40 no.4
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• pp.524-532
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• 2010

Purpose: This study was done to explore the relationship of social support and meaning of life to suicidal thoughts among patients with cancer. Methods: Data were collected by questionnaires from 138 patients who had been in cancer treatment at medical clinics and 8 patients who were members of an internet cancer association. The data were collected between August and November 2009 and analyzed using SPSS 12.0. Results: Of the participants, 47.3% reported having had suicidal thoughts and 16.4% had attempted suicide since the diagnosis of cancer. The study participants received most support from family members, but 73.3% reported experiencing an existential vacuum. The suicide attempt group had significantly higher scores according to gender, age, level of education, diagnosis, treatment modality, level of activity, caregiver and social support compare to the suicide thought group. Suicidal thoughts were negatively related to social support and meaning of life was positively associated with social support. Support from family and friends and diagnosis explained 50.0% of variance for suicidal thoughts with 36.0% of variance being explained by family support. Conclusion: Nurses should be able to identify risk factors for suicide in cancer patients. Prevention and intervention efforts need to be directed toward improving social support, family support in particular, and assisting patients finding meaning in life after a diagnosis of cancer.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.2
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• pp.536-564
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• 2019

Soft faults are inherent in wireless sensor networks (WSNs) due to external and internal errors. The failure of processes in a protocol stack are caused by errors on various layers. In this work, impact of errors and channel misbehavior on process execution is investigated to provide an error classification mechanism. Considering implementation of WSN protocol stack, inter-process correlations of stacked and peer layer processes are modeled. The proposed model is realized through local and global decision trees for fault diagnosis. A hybrid framework is proposed to implement local decision tree on sensor nodes and global decision tree on diagnostic cluster head. Local decision tree is employed to diagnose critical failures due to errors in stacked processes at node level. Global decision tree, diagnoses critical failures due to errors in peer layer processes at network level. The proposed model has been analyzed using fault tree analysis. The framework implementation has been done in Castalia. Simulation results validate the inter-process correlation model-based fault diagnosis. The hybrid framework distributes processing load on sensor nodes and diagnostic cluster head in a decentralized way, reducing communication overhead.

• The Journal of Korean Medicine
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• v.41 no.3
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• pp.1-8
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• 2020

Objectives: This paper aims to investigate the Donguibogam-based pattern diagnosis by applying natural language processing and machine learning. Methods: A database has been constructed by gathering symptoms and pattern diagnosis from Donguibogam. The symptom sentences were tokenized with nouns, verbs, and adjectives with natural language processing tool. To apply symptom sentences into machine learning, Word2Vec model has been established for converting words into numeric vectors. Using the pair of symptom's vector and pattern diagnosis, a pattern prediction model has been trained through Logistic Regression. Results: The Word2Vec model's maximum performance was obtained by optimizing Word2Vec's primary parameters -the number of iterations, the vector's dimensions, and window size. The obtained pattern diagnosis regression model showed 75% (chance level 16.7%) accuracy for the prediction of Six-Qi pattern diagnosis. Conclusions: In this study, we developed pattern diagnosis prediction model based on the symptom and pattern diagnosis from Donguibogam. The prediction accuracy could be increased by the collection of data through future expansions of oriental medicine classics.

• Journal of the Korean Society of Industry Convergence
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• v.7 no.2
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• pp.199-205
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• 2004

This paper describes the fault diagnosis method to order to construct CIM in complex system with hierarchical structure similar to human body structure. Complex system is divided into unit, item and component. For diagnosing this hierarchical complex system, it is necessary to implement a special neural network. Fault diagnosis system can forecast faults in a system and decide from the signal information of current machine state. Comparing with other diagnosis system for a single fault, the developed system deals with multiple fault diagnosis, comprising hierarchical neural network (HNN). HNN consists of four level neural network, i.e. first is fault symptom classification and second fault diagnosis for item, third is symptom classification and forth fault diagnosis for component. UNIX IPC is used for implementing HNN with multitasking and message transfer between processes in SUN workstation with X-Windows (Motif). We tested HNN at four units, seven items per unit, seven components per item in a complex system. Each one neural network represents a separate process in UNIX operating system, information exchanging and cooperating between each neural network was done by message queue.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.5
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• pp.1186-1207
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• 2024

Bearings are one of the main components of mechanical equipment and one of the primary components prone to faults. Therefore, conducting fault diagnosis on bearings is a key issue in mechanical equipment research. Belief rule base (BRB) is essentially an expert system that effectively integrates qualitative and quantitative information, demonstrating excellent performance in fault diagnosis. However, class imbalance often occurs in the diagnosis task, which poses challenges to the diagnosis. Models with interpretability can enhance decision-makers' trust in the output results. However, the randomness in the optimization process can undermine interpretability, thereby reducing the level of trustworthiness in the results. Therefore, a hierarchical BRB model based on extreme gradient boosting (XGBoost) feature selection with interpretability (HFS-IBRB) is proposed in this paper. Utilizing a main BRB alongside multiple sub-BRBs allows for the conversion of a multi-classification challenge into several distinct binary classification tasks, thereby leading to enhanced accuracy. By incorporating interpretability constraints into the model, interpretability is effectively ensured. Finally, the case study of the actual dataset of bearing fault diagnosis demonstrates the ability of the HFS-IBRB model to perform accurate and interpretable diagnosis.

• Korean Journal of Health Education and Promotion
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• v.14 no.2
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• pp.17-42
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• 1997

From September 2, 1995 through October 31, this questionnaire was made by the 1, 200 industrial workers who work for 15 enterprises of 5 types of business. And it was for helping to devise a policy and to develop a program for industrial workers' health promotion by understanding the consciousness behavior level of industrial workers in our country and the related factors which are under the influence of it and health promotion behavior. The summary and conclusions are as follows. 1. In health promotion score level by related factors, the health diagmosis level score was 7. 37(81.9/100) of the perfect score 9, nutrition level score was 7.00(77.8/100), health education behavior level score was 6.00(66.7/100), exercise behavior level score was 6.01(66.8/100), occupational disease knowledge level score was 6.00(66.7/100). 2. Health diagnosis behavior level was significantly high when the age is older, when the occupation term is longer, when the economic status is better. And wjem tje satosfoed degree for vocational aptitude, working environment, and the education contents. 3. Nutrition (dietary habit) status level was high in men, in the age group of 40 over, in the group of having their spouse, in the group of being paid over one million won a month, in the upper economic classes (P〈0.001). It was also high in graduates middle school and in daytime workers (P〈0.05). 4. Health education behavior level was high in the older ahe hroup, in a single life (separation by death, divouce, separation) and in the longer occupation term(P〈0.001). 5. Exercises behavior level was high in men, in the workers who are paid 500～990 thousand won a month, in the better economic classes(P〈0.01). 6. Knowledge level on an occupational disease was high in men, in the older age group, in the group of having a spouse, In the workers who are paid 500～990 thousand won a month, in the group of having a longer occupation term, and in the residents living not in a large city(P〈0.01). 7. When health status was higher, health promotion behavior, behavior level, health diagnosis (P〈0.001), nutrition(P〈0.05), health education behavior (P〈0.05), exercise behavior(P〈0.01) and the knowledge level on an occupation disease was high. 8. The main factors which are under the influence on the degree of practicing healthy life were the level of knowledge and behavior, sex, his/her health status, and the satisfied degree of working environment. These variables could explain it 18.0%. 9. The factors which are under the influence on health promotion behavior and behavior levels were the variables of the satisfied degerr of education contents, sex, health knowledge, economic status, health status, occupation terms, monthly income, working tiredness. These variables could explain it 21.3%. By these results, it is inportant for industrial workers' health promotion to level up the health diagnosis behavior, dietary habit considering nutrition, behavior on health education, behavior for exercise, and knowledge on an occupational disease. Especially we should develop the proper program considered sex, health status, satisfied degree of working environment and education contents, economic status, eccupation terms, knowledge on health, and behavior level. Because health promotion business gies in gear with productivity promotion.

• Journal of Community Nutrition
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• v.6 no.3
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• pp.155-163
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• 2004

In our country, cardiovascular disease (CVD) and Coronary heart diseases (CHD) are the leading causes of death. It is well known that CHD is multifactorial, involving environmental factors such as diet, level of exercise and cigarette smoking, and inherited factors. According to the statistical data in 2003, the cause of death with the highest mortality was including hypertension, ischemic heart disease and atherosclerosis, which accounted for $24.7\%$ of total mortality. In spite of, there have been few study reports on the change of biochemical markers and mechanisms concerned. The development of biochemical markers is required for an early diagnosis and treatment of cardiovascular diseases that are related with dietary habits of Korean people enjoying mixtures of traditional dietary style and westernized food-styles. Therefore, the most efficient cost-saving biochemical marker was established in this study, through analysis of biochemical markers related with dietary habits which are susceptibly being changed in association to cardiovascular diseases from the pre-disease phase, and through reanalysis and assessment of early diagnosis of and preventive effects of diagnosis of cardiovascular diseases by demographical character including sex, age, and socioeconomic level with use of biochemical markers that are identified and selected among the parameters in consideration of the effectiveness and appropriateness of early diagnosis of diseases. The appropriateness of biochemical markers was reviewed by professionals (medical, pharmaceutical area and food/ nutrition area) and CRP(C-Reactive Protein) and was identified to be possible in Korea. It is thought that these biochemical markers may be used as the basic data for early diagnosis and prevention of cardiovascular diseases (CVD) which may be used for Korean people.

• Imaging Science in Dentistry
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• v.50 no.4
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• pp.339-346
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• 2020

Purpose: The purpose of this study was to evaluate the image quality, diagnostic efficacy, and radiation dose associated with the use of a cadmium telluride (CdTe) detector, compared to charge-coupled device (CCD) and complementary metal oxide semiconductor(CMOS) detectors. Materials and Methods: Lateral cephalographs of a phantom (type 1) composed of synthetic polymer filled with water and another phantom (type 2) composed of human skull macerated with polymer coating were obtained with CdTe, CCD, and CMOS detectors. Dosimeters placed on the type 2 phantom were used to measure radiation. Noise levels from each image were also measured. McNamara cephalometric analysis was conducted, the dentoskeletal configurations were assessed, and a subjective evaluation of image quality was conducted. Parametric data were compared via 1-way analysis of variance with the Tukey post-hoc test, with a significance level of 5%. Subjective image quality and dentoskeletal configuration were described qualitatively. Results: A statistically significant difference was found among the images obtained with the 3 detectors(P<0.05), with the lowest noise level observed among the images obtained with the CdTe detector and a higher subjective preference demonstrated for those images. For the cephalometric analyses, no significant difference (P>0.05) was observed, and perfect agreement was seen with regard to the classifications obtained from the images acquired using the 3 detectors. The radiation dose associated with the CMOS detector was higher than the doses associated with the CCD (P<0.05) and CdTe detectors(P<0.05). Conclusion: Considering the evaluated parameters, the CdTe detector is recommended for use in clinical practice.

• Imaging Science in Dentistry
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• v.53 no.1
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• pp.43-51
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• 2023

Purpose: This study aimed to assess texture analysis(TA) of cone-beam computed tomography (CBCT) images as a quantitative tool for the differential diagnosis of odontogenic and non-odontogenic maxillary sinusitis(OS and NOS, respectively). Materials and Methods: CBCT images of 40 patients diagnosed with OS (N=20) and NOS (N=20) were evaluated. The gray level co-occurrence (GLCM) matrix parameters, and gray level run length matrix texture (GLRLM) parameters were extracted using manually placed regions of interest on lesion images. Seven texture parameters were calculated using GLCM and 4 parameters using GLRLM. The Mann-Whitney test was used for comparisons between the groups, and the Levene test was performed to confirm the homogeneity of variance (α=5%). Results: The results showed statistically significant differences(P<0.05) between the OS and NOS patients regarding 3 TA parameters. NOS patients presented higher values for contrast, while OS patients presented higher values for correlation and inverse difference moment. Greater textural homogeneity was observed in the OS patients than in the NOS patients, with statistically significant differences in standard deviations between the groups for correlation, sum of squares, sum of entropy, and entropy. Conclusion: TA enabled quantitative differentiation between OS and NOS on CBCT images by using the parameters of contrast, correlation, and inverse difference moment.

• Journal of East-West Nursing Research
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• v.28 no.2
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• pp.83-90
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• 2022

Purpose: The purpose of this study was to investigate the educational needs and knowledge level of traditional Korean nursing among nurses in Korean medicine hospitals. Methods: A survey design was used. A total of 180 nurses working for more than six months at 10 Korean medicine participated in this study. Data were collected in September of 2019. All data were analyzed by t-test, ANOVA, Scheffé, and paired t-test using SPSS Statistics 25.0 program. Results: The six sub-areas of educational needs for traditional Korean nursing were knowledge of treatments, direct nursing care, types of acupuncture, manipulative therapy, diagnosis, and herbal medicine in order. Average score of the educational needs for nurses in Korean medicine hospitals was 3.77 points out of 5 points. All six sub-areas of the knowledge level were statistically significant. Average score of knowledge level about Korean medicine among nurses was 3.03 out of 5. Conclusion: As a result of this study, it was found that a high level of knowledge is required or Korean medicine education. Knowledge of Korean medicine should be improved through education on thetypes of acupuncture, manipulative therapy, diagnosis, and treatment with relatively low scores. The results of this study can be used as basic data for preparing an educational system to improve the knowledge level of nurses in Korean medicine hospitals.