• Journal of Korean Biological Nursing Science
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• v.12 no.3
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• pp.166-174
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• 2010

Purpose: The purpose of this study was to compare the cardiac knowledge and symptoms recognition between men and women with acute coronary syndrome (ACS). Methods: Cross-sectional survey research design and convenience sampling were used in this study. 64 men and 42 women from a university medical center were participated in this study. Data collection were used with self reported questionnaires and medical records. Results: There was no difference in cardiac knowledge by gender. Women marked the higher score in symptoms recognition than men. Significant gender differences were observed in the reports of several symptoms (headache, nausea, palpitation, hand paresthesia, and leg numbness) and with ACS. There was significant correlation between cardiac knowledge and symptom recognition on both men and women. Conclusion: These findings suggest that health care professionals should pay attention to the differences in clinical symptoms between women and men. Furthermore, tailored information about possible symptoms of coronary artery disease according to the patient's gender is needed.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.157.1-157
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• 2001

A new methodology is presented to diagnose faults in equipment plasma. This is accomplished by using neural networks as a pattern recognizer of radio frequency(rf) impedance match data. Using a realtime match monitor system, the match data were collected. The monitor system consisted mainly of a multifunction board and a signal flow diagram coded by Visual Designer. Plasma anomaly was effectively represented by electrical match positions. Twenty sets of fault-symptom patterns were experimentally simulated with experimental variations in process factors, which include rf source power, pressure, Ar and O$_2$ flow rates. As the inputs to neural networks, two means and standard deviations of positions were used ...

• Nuclear Engineering and Technology
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• v.36 no.3
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• pp.219-228
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• 2004

[1] and [2] present an approach to diagnosing possible defects in the mechanical systems of a nuclear power plant. In this paper, by using a fault library as a database and training data, we develop a diagnostic algorithm 1) to decide whether an Air Operated Valve system is sound or not and 2) to identify the defect from which an Air-Operated Valve system suffers, if any. This algorithm is composed of three stages: a neural net stage, a non-neural net stage, and an integration stage. The neural net stage is a simple perceptron, a pattern-recognition module, using a neural net. The non-neural net stage is a simple pattern-matching algorithm, which translates the degree of matching into a corresponding number. The integration stage collects each output and makes a decision. We present a simulation result and confirm that the developed algorithm works accurately, if the input matches one in the database.

• Journal of the Korea Computer Graphics Society
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• v.24 no.4
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• pp.1-9
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• 2018

We propose an emotional training framework that can determine the initial symptom of schizophrenia by using emotional analysis method through facial expression change. We use Emotion API in Microsoft to obtain facial expressions and emotion values at the present time. We analyzed these values and recognized subtle facial expressions that change with time. The emotion states were classified according to the peak analysis-based variance method in order to measure the emotions appearing in facial expressions according to time. The proposed method analyzes the lack of emotional recognition and expressive ability by using characteristics that are different from the emotional state changes classified according to the six basic emotions proposed by Ekman. As a result, the analyzed values are integrated into the image color transfer framework so that users can easily recognize and train their own emotional changes.

• Journal of Korean society of Dental Hygiene
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• v.15 no.2
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• pp.205-216
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• 2015

Objectives: The purpose of the study is to investigate the psychological state of the patients according to skeletal class III malocclusion symptoms. Methods: The subjects were 200 skeletal class III malocclusion patients. The questionnaire consisted of general characteristics, clinical manifestation, and T score of Korean version of self-rated Symptom Checklist-90-Revision modified by Jae-hwan Kim. The data were analyzed using SAS version 9.2 and t-test, ANOVA, and ANCOVA were used. Clinical manifestation included subjective recognition and radiological analysis. The subjective recognition of the patients consisted of self-satisfaction of the appearance, phonation, mastication, and temporomandibular joint pain. T score consisted of somatization, obsessive-compulsive, interpersonal sensitivity, depression, anxiety, hostility, phobic anxiety, paranoid ideation, and psychoticism. Results: The most serious factor in 9 scales was the severe TMJ pain by ANCOVA. Male patients had a higher T score in phobic anxiety, psyochoticism, somatization and depression than female patients. Those having low appearance satisfaction had the problem in interpersonal sensitivity. Obsessive-compulsive symptoms were conspicuous in phonation difficulty and temporomandibular pain. Conclusions: The patients with skeletal class III malocclusion have more satisfaction with appearance, pronunciation, and phonation than those with skeletal class III malocclusion and overjet. Proper dental treatment will improve the communication and quality of life.

• Pediatric Infection and Vaccine
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• v.14 no.1
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• pp.55-61
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• 2007

Purpose : Fever, the most common presenting symptom in pediatric clinics, has been believed to be a dangerous symptom by many parents. Proper recognition about fever will relieve unnecessary anxiety of parents and help them understand the course of the disease. Our objectives of this study were to investigate current parental recognition about fever and to compare these results with those described in 1992. Methods : Between May and July 2006, we questioned caregivers who visited the pediatric outpatient clinic in St.Paul hospital. The questionnaire consisted of 19 items asking about recognition, attitude and management of fever. Results : A total of 136 caregivers were interviewed. Compared with 10 years ago, there were no significant improvements in misconception about fever. Many caregivers (61%) had wrong information about a definition and the way to measure body temperature. There were still high concerns about febrile convulsion and brain damage from fever. Caregivers started treatment at the body temperature which actually needed no therapy. Conclusion : Parents were not aware that fever is just one of physiologic responses and has benefits, which led to unnecessary anxiety and treatment. This misconception has not been changed over the years. Pediatrician should inform parents that fever itself is not harmful and only rational reason for use of antipyretics is to relieve a discomfort of a febrile child. An educational interventions offered by pediatricians will be helpful for parents to have right attitude and understandings toward fever.

• Phonetics and Speech Sciences
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• v.8 no.2
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• pp.31-39
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• 2016

In emergency dispatching at 119 Command & Dispatch Center, some inconsistencies between the 'standard emergency aid system' and 'dispatch protocol,' which are both mandatory to follow, cause inefficiency in the dispatcher's performance. If an emergency dispatch system uses automatic speech recognition (ASR) to process the dispatcher's protocol speech during the case registration, it instantly extracts and provides the required information specified in the 'standard emergency aid system,' making the rescue command more efficient. For this purpose, we have developed a Korean large vocabulary continuous speech recognition system for 400,000 words to be used for the emergency dispatch system. The 400,000 words include vocabulary from news, SNS, blogs and emergency rescue domains. Acoustic model is constructed by using 1,300 hours of telephone call (8 kHz) speech, whereas language model is constructed by using 13 GB text corpus. From the transcribed corpus of 6,600 real telephone calls, call logs with emergency rescue command class and identified major symptom are extracted in connection with the rescue activity log and National Emergency Department Information System (NEDIS). ASR is applied to emergency dispatcher's repetition utterances about the patient information. Based on the Levenshtein distance between the ASR result and the template information, the emergency patient information is extracted. Experimental results show that 9.15% Word Error Rate of the speech recognition performance and 95.8% of emergency response detection performance are obtained for the emergency dispatch system.

• Korean Journal of Air-Conditioning and Refrigeration Engineering
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• v.27 no.11
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• pp.587-595
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• 2015

In this study, fault symptoms were simulated and analyzed for a single-effect absorption chiller. The fault patterns of fault detection parameters were tabulated using the fault symptom simulation results. Fault detection and diagnosis by a process history-based method were performed for the in-situ experiment of a single-effect absorption chiller. Simulated fault modes for the in-situ experimental study are the decreases in cooling water and chilled water mass flow rates. Five no-fault reference models for fault detection of a single-effect absorption chiller were developed using fault-free steady-state data. A sensitivity analysis of fault detection using the normalized distance method was carried out with respect to fault progress. When mass flow rates of the cooling and chilled water decrease by more than 19.3% and 17.8%, respectively, the fault can be detected using the normalized distance method, and COP reductions are 6.8% and 4.7%, respectively, compared with normal operation performance. The pattern recognition method for fault diagnosis of a single-effect absorption chiller was found to indicate each failure mode accurately.

• Journal of Oriental Neuropsychiatry
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• v.24 no.3
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• pp.257-262
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• 2013

Objectives : Aripiprazole is unique drug among the SGA (Second generation antipsychotics) in its pharmacology and pharmacokinetics,but is similar in clinical efficacy. Aripiprazole acts as a partial agonist at dopamine D2 receptors, activating the receptor but eliciting a reduced response compared to the natural neurotransmitter. There are some side effects of aripiprazole, the most common side effects of aripiprazole are headache, nausea, vomiting, insomnia, tremor, constipation and EPS. Difficulty in opening eyes is not defined EPS yet, but it is a rare but important side-effect symptom of aripiprazole. Methods : This article is about a case of side-effect symptom of aripiprazole, 26-year-old single female suffering from schizophrenia had difficulty in opening eyes while she was taking antipsychotics. During the hospitalization, the relaxation therapy is helpful not only to reduce tension in the eyelids but also to headache. Results : It is important that early recognition of aripiprazole-induced oculogyric dystonia can prevent life-threatening complications. Education medical staff to this easily treatable reaction will improve overall quality of health care. Conclusions : This case notifies the need for awareness of the risk of acute oculogyric dystonia in adolescent female patients receiving aripiprazole.

• Nuclear Engineering and Technology
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• v.52 no.6
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• pp.1188-1200
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• 2020

In this paper, we consider a SDMS (Self-Diagnostic Monitoring System) for a reciprocating pump for the purpose of not only diagnosis but also prognosis. We have replaced a multi class estimator that selects only the most probable one with a multi label estimator such that we are able to see the state of each of the components. We have introduced a measure called certainty so that we are able to represent the symptom and its state. We have built a flow loop for a reciprocating pump system and presented some results. With these changes, we are not only able to detect both the dominant symptom as well as others but also to monitor how the degree of severity of each component changes. About the dominant ones, we found that the overall recognition rate of our algorithm is about 99.7% which is slightly better than that of the former SDMS. Also, we are able to see the trend and to make a base to find prognostics to estimate the remaining useful life. With this we hope that we have gone one step closer to the final goal of prognosis of SDMS.