• Title/Summary/Keyword: loss function

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Nutritional Management in Patients with Chronic Obstructive Pulmonary Disease (만성폐쇄성폐질환 환자의 영양관리)

  • Lee, Kwan-Ho
    • Journal of Yeungnam Medical Science
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    • v.21 no.2
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    • pp.133-142
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    • 2004
  • Chronic obstructive pulmonary disease(COPD) is characterized by a not entirely reversible limitation in the airflow. An airflow limitation is progressive and associated with an abnormal inflammatory response of the lung to gases and harmful particles. In COPD, the weight loss is commonly observed and there is a negative impact on the respiratory as well as skeletal muscle function. The pathophysiological mechanisms that result in weight loss in COPD are not fully understood. However, the mechanisms of weight loss in COPD may be the result of an increased energy expenditure unbalanced by an adequate dietary intake. The commonly occurring weight loss and muscle wasting in COPD patients adversely affect the respiratory and peripheral muscle function, the exercise capacity, the health status, and even the survival rates. Therefore, it is very valuable to include management strategies that the increase energy balance in order to increase the weight and fat free mass. A Better understanding of the molecular and cellular pathological mechanisms of COPD can improve the many new directions for both the basic and clinical investigations. The Nutritional supply is an important components of a multidisciplinary pulmonary rehabilitation program. Future studies combining an exercise program, the role of anabolic steroids, nutritional individualization, a more targeted nutritional therapy, and the development of new drugs including anti-cytokines is needed for the effective management of COPD.

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Optimum target values for manufacturing processes when drifting rate in the process mean is normally distributed (공정평균의 변화율이 정규분포인 제조공정의 최적 목표값)

  • Lee, Jae-Hoon;Park, Tae-Ho;Kwon, Hyuck-Moo;Hong, Sung-Hoon;Lee, Min-Koo
    • Journal of Korean Society for Quality Management
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    • v.38 no.4
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    • pp.540-548
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    • 2010
  • We consider the problem of selecting the most profitable initial process mean and length of production cycle for manufacturing processes subject to a constant linear trend during the same cycle that varies after resetting the processes. Assuming that the quality characteristic of interest is normally distributed, the optimum initial process mean and the length of production cycle are jointly obtained by minimizing the expected loss per unit time. We assume that the quality loss function due to the deviation from the target value is quadratic and resetting loss is constant. We consider both cases of symmetric and asymmetric quality loss function. An illustrative example is given and sensitivity analysis performed.

A Canonical Correlation Analysis of the Relationship between Menu Management Variables and Performance in Contract-Foodservice Operations (위탁 급식 점포의 메뉴 운영 요인과 성과의 연관성에 관한 연구)

  • Park, Ju-Yeon;Kim, Tae-Hee
    • Journal of the East Asian Society of Dietary Life
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    • v.18 no.6
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    • pp.1089-1098
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    • 2008
  • The principal objective of this study was to reveal the relationship between the menu management indicators and menu performance indicators in contract-foodservice operations. Menu indicators differed according to the type of business, type of contract, type of serving, and number of service lines. In accordance with the results of our correlation analysis, we noted significant correlations between menu performance indicators and menu management indicators. The first of these was the correlation between the food cost ration and meal counts, food loss, and the use of prepared vegetables. The second of these was the correlation between food cost per meal and forecasting error, food loss, and inventory turnover. The last of these correlations was the negative correlation between menu CSI(customer satisfaction index) and the use of prepared vegetables. According to the results of our canonical correlation analysis, 2 significant functions were identified. In the first function, we noted significant correlations between meal counts, use of prepared vegetables, food loss, and food cost ratio. Additionally, we noted significant correlations between forecasting error, inventory turnover, food loss, and food cost per meal in the second function. Menu management indicators had no influence on customer satisfaction.

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A Study on the Farming Decision-making Process of Onion and Garlic Farmers by the Perspective of Behavioral Economics (양파와 마늘 농가의 행동경제학적 영농 의사결정 과정에 관한 연구)

  • Lee, Su-Mi;Kim, Ho
    • Korean Journal of Organic Agriculture
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    • v.32 no.1
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    • pp.25-37
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    • 2024
  • This study is to apply behavioral economics-an economics that studies actual human behavior based on cognitive psychology-to the farming decision-making process of onion and garlic farmers. Of behavioral economic theories, dual system theory and prospect theory (value function), heuristic and bias were surveyed and examined in the field. The reference point of farmers was farming experience of the previous year, and so they showed reference dependence and anchoring heuristic, not rational thinking on production cost plan. And they showed status quo bias that cultivated continuously the previous year or the present crop. This status quo bias is related to loss aversion propensity. Farmers did not usually change cultivating crops, in other words, they showed diminishing sensitivity-insensitive to those that the more revenue or loss was increased. This diminishing sensitivity is related to loss aversion propensity and status quo bias. Also, farmers had representativeness heuristic because they regarded auction price of Garakdong wholesale market as the standard price level despite various prices by production region. And farmers had the affect heuristic that they depended on producers' organization data more than the state-run research institute ones about cultivation intentions and actual situations.

Development of Deep Learning Model for Detecting Road Cracks Based on Drone Image Data (드론 촬영 이미지 데이터를 기반으로 한 도로 균열 탐지 딥러닝 모델 개발)

  • Young-Ju Kwon;Sung-ho Mun
    • Land and Housing Review
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    • v.14 no.2
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    • pp.125-135
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    • 2023
  • Drones are used in various fields, including land survey, transportation, forestry/agriculture, marine, environment, disaster prevention, water resources, cultural assets, and construction, as their industrial importance and market size have increased. In this study, image data for deep learning was collected using a mavic3 drone capturing images at a shooting altitude was 20 m with ×7 magnification. Swin Transformer and UperNet were employed as the backbone and architecture of the deep learning model. About 800 sheets of labeled data were augmented to increase the amount of data. The learning process encompassed three rounds. The Cross-Entropy loss function was used in the first and second learning; the Tversky loss function was used in the third learning. In the future, when the crack detection model is advanced through convergence with the Internet of Things (IoT) through additional research, it will be possible to detect patching or potholes. In addition, it is expected that real-time detection tasks of drones can quickly secure the detection of pavement maintenance sections.

Approximate Method of Multi-Layer Green's Function Using FDTD Scheme and Rational Function Approximation (FDTD 방법과 분수 함수 근사법을 이용한 다층 구조에서의 Green 함수 근사화)

  • Kim, Yong-June;Koh, Il-Suek;Lee, Yong-Shik
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.22 no.2
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    • pp.191-198
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    • 2011
  • In this paper, a method to approximate a multi-layer Green's function is proposed based on a FDTD scheme and a rational function approximation. For a given horizontal propagation wavenumber, time domain response is calculated and then Fourier transformed to the spectral domain Green's function. Using the rational function approximation, the pole and residue of the Green's function can be estimated, which are crucial for a calculation of a path loss. The proposed method can provide a wideband Green's function, while the conventional normal mode method can be applied to a single frequency problem. To validate the proposed method, We consider two problems, one of which has a analytical solution. The other is about multi-layer case, for which the proposed method is compared with the known normal mode solution, Kraken.

Conversion Function and Relationship of Loss of Load Expectation Indices on Two Kinds of Load Duration Curve (두 종류의 부하곡선에 관한 공급지장시간기대치(LOLE)의 상호 변환관계성)

  • Lee, Yeonchan;Oh, Ungjin;Choi, Jaeseok;Cha, Junmin;Choi, Hongseok;Jeon, Donghun
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.66 no.3
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    • pp.475-485
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    • 2017
  • This paper develops a conversion function and method transforming from daily peak load curve used $LOLE_D$ [days/year] to hourly load curve used $LOLE_H$[hours/year]and describes relationship between $LOLE_D$ [days/year] and $LOLE_H$ [hours/year]. The indices can not only be transformed just arithmetically but also have different characteristics physically because of using their different load curves. The conversion function is formulated as variables of capacity and forced outage rate of generator, hourly load daily load factor and daily peak load yearly load factor, etc. Therefore, the conversion function (${\gamma}={\varphi}$(.)) can not be simple. In this study, therefore, the function is formulated as linear times of separated two functions. One is an exponential formed conversion function of daily load factor. Another is formulated with an exponential typed conversion function of daily peak load yearly load factor. Futhermore, this paper presents algorithm and flow chart for transforming from $LOLE_D$[days/year] to $LOLE_H$[hours/year]. The proposed conversion function is applied to sample system and actual KPS(Korea Power System) in 2015. The exponent coefficients of the conversion functions are assessed using proposed method. Finally, assessment errors using conversion function for case studies of sample system and actual system are evaluated to certify the firstly proposed method.

Effect of Exercise on the Physiological Changes of Korean Cyclists (한국 사람의 생리적 변화에 미치는 운동의 영향)

  • Kim, Chong-Kook;Lee, Beom-Jin
    • Journal of Pharmaceutical Investigation
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    • v.25 no.2
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    • pp.95-100
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    • 1995
  • Serum electrolyte concentration and body weight were determined before and after exercise for 2h in Korean cyclists. The serum concentration of electrolytes (Na, Ca, Zn, K, P and Cl) was increased but that of Mg was decreased as a result of exercise. The increase of serum K and P concentration was statistically significant after exercise. As the exercise time increased, the loss of body weight also increased due to dehydration and sweat. The loss of body weight ranged 1.0 to 2.3 Kg as a function of exercise time but cyclists showed the exhaustion and muscle fatigue 2h after exercise. As the ambient temperature increased, the loss of body weight was slightly increased. However, frequent drinking water was required because of dehydration and thirst. Although frequent drinking water may reduce weight loss and thirst during exercise, sports drinking beverages simultaneously containing electrolytes and nutrients are more useful to replenish loss of water and electrolytes in an exhausted condition, resulting in the improvement of physical performance.

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Pin Fin Optimization Based on the Ratio of Heat Loss to the Maximum Heat Loss (최대 열손실에 대한 열손실 비에 기준한 Pin 핀의 최적화)

  • Kang, Hyung-Suk
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.32 no.11
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    • pp.817-823
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    • 2008
  • A pin fin with variable fin base thickness is optimized based on the ratio of heat loss to the maximum heat loss using a two-dimensional analytic method. The temperature profile along the normalized radius position in the fin is presented. For fixed fin outer radius, the optimum heat loss, fin length and efficiency as a function of fin base thickness, outer radius, convection characteristic numbers ratio and ambient convection characteristic number are presented. One of the results shows that the effect of fin outer radius and ambient convection characteristic number on the optimum fin length is remarkable.

New Method for Measurement and Validation of In-situ Sound Transmission Loss (In-situ 소음투과손실 측정 및 검증을 위한 기법 개발)

  • Lee, Hwa-Soo;Park, Hong-Cheol;Yoon, Seong-Ho
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2008.04a
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    • pp.795-800
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    • 2008
  • The sound transmission loss is a key index to evaluate the acoustic performance of a car-body structure at the high frequency range. From this paper, a new validation method for in-situ sound transmission loss is proposed. First, in-situ sound transmission loss is measured by using PU intensity probe on the condition of complete vehicle. Second, validation test, which is consisted of internal, external and total frequency response function test, is performed by using volume acceleration source and microphones. Then, these test results are compared to validate the accuracy of in-situ sound transmission loss. Finally, the test result of in-site method is compared with results of two reverberant room test method and SEA analytical method. The reliability of in-situ method is confirmed by these procedures.

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