• 한국작물학회:학술대회논문집
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• 한국작물학회 2022년도 추계학술대회
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• pp.106-106
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• 2022

An appropriate amount of nitrogen fertilizer input during rice cultivation is essential for rice growth, quality control, and reduction of greenhouse gases in paddy fields. Therefore, it is necessary to develop a technology that can check whether an appropriate amount of fertilizer is applied in paddy fields. In this study, we tried to derive a method for diagnosing nitrogen fertilization level using spectroscopic diagnosis, physiological analysis, and molecular indicator genes. Nitrogen fertilization treatment was performed in a greenhouse by dividing into five treatment conditions: no fertilization (N0), low fertilization (N0.5), standard fertilization (N1.0), excessive fertilization (N1.5), and double fertilization (N2.0), respectively. Growth characteristics analysis was investigated by nitrogen fertilization conditions and growth stages, and the height of the canopy was analyzed using a laser scanner. Physiological and spectroscopic analyses were performed by analyzing chlorophyll and sugar contents and measuring SPAD and leaf spectrometer on rice leaves. In addition, real-time PCR experiment was performed to check the relative expression levels of several known nitrogen metabolism related genes. These results suggest that spectroscopic techniques can be helpful in diagnosing the level of nitrogen fertilization in rice paddy fields.

• 한국자원식물학회:학술대회논문집
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• 한국자원식물학회 2022년도 추계학술대회
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• pp.29-29
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• 2022

The fast-changing climatic conditions make plants to be vulnerable to many abiotic stresses. Drought stress is one of the limiting factors that affect pepper production in water deficient regions. It affects plant growth and development by altering physiological, morphological, and metabolic processes. Breeding drought tolerant varieties is one of the mitigation strategies to overcome the ever increasing drought disaster. Hence, screening of new drought tolerant pepper genotypes is essential. The current study was aimed to identify new drought tolerant genotypes among the collection of pepper genetic resources. In total, 70 pepper genotypes were screened for drought tolerance after exposure to drought stress condition. The pepper genotypes were classified as highly tolerant, intermediate, or severely sensitive to drought stress based on the phenotypic analysis. Consequently, 13 genotypes significantly exhibited higher recovery rate after drought stress and were classified as highly tolerant. Comparative analysis of morphological and physiological parameters and expression of drought responsive genes between tolerant and susceptible pepper genotypes will be presented and discussed. The identified tolerant genotypes will be useful resources for breeding drought tolerant pepper cultivars.

• 대한의용생체공학회:의공학회지
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• 제20권5호
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• pp.515-527
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• 1999

• Journal of Korean Biological Nursing Science
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• 제2권2호
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• pp.53-66
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• 2000

Objectives: The studies in biological, behavioral and psychosocial perspectives in nursing research are fundamental in the balanced development of nursing knowledge. Many nursing researchers have placed a strong emphasis on developing psychological and behavioral aspects of nursing knowledge as is evidenced by the large body of research in these areas. However, the paucity of nursing research using the principles of biological science for measurements and techniques have often invited open criticism by many nursing researchers. This study attempts to characterize the researches performed in master and doctoral thesis which used physiological variables. Methods: We analyzed masters' thesis from 1962 to 1996 and doctoral thesis from 1982 to 1996 listed in CD from Korean Nurses Association. Results: Out of 3060 masters' thesis from 1962 to 1996, 342 (11.2%) thesis used physiological variables whereas 43 (10.1%) doctoral thesis used physiological ones. Number of thesis with physiological variables was the highest in Seoul National University for masters' thesis whereas for the doctoral thesis the number was the highest in Yonsei University. The research subjects in these thesis with physiological variables were mostly patients (53.5% in masters' and 69.8% in doctoral). Master's thesis often conducted either nonexperimental or survey research (69.9%) whereas experimental research design prevailed vital signs(181 thesis), blood tests(133), body composition(124), microorganisms(74), gastrointestinal functions(36), lab test(33), drug(21), urinary functions(20), movement(17), Apgar Score(15), reproductive functions(9), skin related functions(6), body fluid and electrolytes(4), parasite(4), metabolism(3), and sensory(1), Among the 338 master' thesis which studied the common nursing concepts such as anxiety, pain, stress, and depression, 48(14.2%) thesis utilized physiological variables while 15 out of 35 doctoral thesis addressed these concepts using physiological variables. Conclusion: In summary, our results indicate that despite the large amount of nursing research performed over the last decades, there are a few nursing researches done with physiological variables either in masters' or doctoral thesis. To enrich nursing knowledge with different perspectives of nursing including especially biological ones, the efforts have to be made to conduct bionursing science research.

• 한국멀티미디어학회논문지
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• 제23권9호
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• pp.1147-1154
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• 2020

Nowadays, one of the most common diseases is chronic mental fatigue syndrome. This can be caused by many factors, such as busy life, heavy workload, high population density, and adverse technological impact. Most office workers and students who are sitting all day long while being exposed to this kind of environments are likely to be involved in the mental illness. Therefore, to prevent the illness, it has been highly required to design a device that enables mental fatigue to be monitored continuously without human intervention. This paper proposes a linear regression method to reliably estimating the level of human mental fatigue using wearable physiological sensors, with an estimation error of 0.852. Also, this paper presents an Android application that is able to check mental health conditions in daily life.

• 전기학회논문지
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• 제63권9호
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• pp.1294-1299
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• 2014

The emotion is deeply affected by human behavior and cognitive process, so it is important to do research about the emotion. However, the emotion is ambiguous to clarify because of different ways of life pattern depending on each individual characteristics. To solve this problem, we use not only physiological signal for objective analysis but also hybrid unsupervised-supervised learning classifier for automatic emotion detection. The hybrid emotion classifier is composed of K-means, genetic algorithm and support vector machine. We acquire four different kinds of physiological signal including electroencephalography(EEG), electrocardiography(ECG), galvanic skin response(GSR) and skin temperature(SKT) as well as we use 15 features extracted to be used for hybrid emotion classifier. As a result, hybrid emotion classifier(80.6%) shows better performance than SVM(31.3%).

• 대한인간공학회:학술대회논문집
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• 대한인간공학회 1996년도 추계학술대회논문집
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• pp.33-40
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• 1996

본 연구의 목적은 작업생리학적 접근방법(physiological approach)을 이용하여 생리학적 작업 능력(PWC; physiological work capacity)을 추정할 경우 작업형태와 작업방법에 따른 차이점을 비교분석해 보고자 함이다. 작업유형으로는 자전거 에르고미터(cycle ergometer)와 트레드밀 (treadmill)을 사용하였고, 작업방법으로는 각각의 작업유형에 대하여 램프 테스트(ramp test 와 인크리멘탈 테스트(increemntal test)의 차이점을 비교하였다. 또한 외국인들의 생리학적 작업능력(PWC)과 한국인들의 생리학적 작업능력(PWC)을 비교,검토하여 NIOSH(National Institute of Safety and Healty)기준치를 사용하는데 문제점이 없는가를 검토해 보고자 하였다. 작업방법 에 따른 차이점은 자전거 에르고미터의 경우 램프 테스트(ramp test )253.63 ml/min로서 인크리 멘탈 테스트(increemental test) 2859.74ml/min 의 87.70 % 정도로 나타났으며, 트레드 밑의 경우 ramp test 2859.22ml/min로서 incremental test 289.46ml/min의 98.77%정도로 나타났다. 작업유형 에 따른 결과는 자전거 에르고미터의 ramp test 트레드밀의 ramp test 는 ramp test는 트레드밀의 ramp test의 88.72% 정도로 나타났으며, 자전거 에르고미터의 incremental tests는 트레이드밀 작 업의 98.% 정도로 나타났다.

• 대한인간공학회지
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• 제29권1호
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• pp.55-59
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• 2010

Driver distraction is a major cause of traffic accidents in Korea. Various measures are being introduced to detect and warn driver distraction. The objective of this research is to investigate changes in driver's physiological signals due to distraction during driving. Driving simulator experiments have been carried out to investigate discrepancy in EEG signals among normal driving, DMB watching during driving, and cellular phone use during driving. Based on the discrepancy, combination of EEG signals have been identfied as candidate variables for detecting driver distraction. Statistical analysis has been carried out to verify their statistical significance.

• 융합신호처리학회논문지
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• 제20권1호
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• pp.9-15
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• 2019

As the human population increases in the world, the ratio of health doctors is rapidly decreasing. Therefore, it is an urgent need to create new technologies to monitor the physical and mental health of people during their daily life. In particular, negative mental states like depression and anxiety are big problems in modern societies. Usually this happens due to stressful situations during everyday activities including work. This paper presents a machine learning approach to reliably estimating the level of human mental stress using wearable physiological sensors. And also, this paper presents an Android- and Arduino-based stress monitoring and relief system.

• 정보학연구
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• 제9권1호
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• pp.9-19
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• 2006

Medications or conitive-behavior methods have been mainly used as a treatment of alcoholism. lately the virtualy technology has been applied to the kink of alcoholic disorders. A virtual environment makes him having avility to over come the drink. In this study, we were implemented by making panorama images and 3D object modules using 3D MAX, VRML, JAVA. And the BAR stimulator that composed with a position sensor, head mount display, and audio system, is suggested. To illustrate the physiological difference between a person who has a alcoholism and without a liquor bottle, heart rate was measured during experiment, and also measured a person's HR after the virtual reality training. The system measures the Physiological signals such as ECG, Temperature, analyzes those data automatically. The system has two parts, one is physiological data acquisition part which gets the body signal, and the other one is mobile nuit which includes signal processing and transmission functions, And Bluetooth allows two parts to communicate with each other. we demonstrated the subjective effectiveness of virtual reality psychotherapy through the clinical experiment.