• Korean Journal of Poultry Science
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• v.21 no.3
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• pp.207-217
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• 1994

This is to provide basic information and technical data, supported by literature search, for use in designing and /or evaluating ventilation systems for broiler shelters. At first, the general design information including weather data, building requirements, ventilation requirements, and supplemental heating and cooling, was presented. Then, environment requirements for broilers, which are for temperature, humidity, air movement, radiant heat, were described and the optimal ventilation systems for broiler were developed.

• Journal of Korea Society of Industrial Information Systems
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• v.23 no.3
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• pp.25-34
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• 2018

This paper presents a heating source of carbon nanofibers for the efficiency and the drying performance of laundry dryer, and focuses on the applicability-evaluation of its source. To design the proposed heating module, experiments were conducted in terms of surface temperature and surface temperature distribution characteristics of carbon nanofiber lamps. The surface temperature of the lamps increased linearly with increment of a current to flow a lamp and revealing the increasing pattern as the length of the ramps is shorter. The proposed heating source was evaluated based on drying efficiency, moisture evaporation rate at laundry, and internal temperature of a drum during drying process. The drying efficiency satisfied a 45% which is specified in KS C 9319. The moisture evaporation rate and the internal temperature of the drum were respectively 98.88% and $61.1^{\circ}C$, which are similar to that of S's company dryer. From the evaluation and actual drying test results, the proposed carbon nanofiber lamp heating module is considered to be applicable as a heat source for laundry dryer in terms of drying efficiency and drying performance. it is possible to obtain a heat source at a high temperature, an excellent calorific value, an improvement in drying performance, and an effect of sterilizing laundry due to the emission of far-infrared rays. In addition to the applicability, the difference of the drying efficiency between the dryers was analyzed in detail based on the power consumption of the heat sources.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.04a
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• pp.693-695
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• 2016

축산 농가에서 돈사의 효율적인 관리를 위해 카메라를 이용한 자동 모니터링 기법이 중요한 이슈로 떠오르고 있다. 그러나 컬러 영상에서 돈사의 보온등 조명에 직접 노출된 돼지들이 노출 과다 현상에 의해 탐지되지 않는 문제가 발생한다. 본 논문에서는 컬러 영상에서 돼지가 탐지되지 않는 문제를 해결하기 위해 Kinect 2 카메라로부터 획득한 깊이 영상을 이용하여 돼지를 탐지하는 방법을 제안한다. 즉, 깊이 영상을 이용하여 깊이 정보 값을 보정한 후 바닥과 돼지의 깊이 정보 값의 차이를 통해 돼지들의 영역을 탐지한다. 실험 결과, 깊이 영상을 이용하여 보온등 조명에 과다 노출된 돼지의 영역을 탐지하고 히스토그램 평활화를 적용함으로써, 컬러 영상에서 돼지들이 탐지되지 않는 문제를 해결하였다.

• Journal of Advanced Marine Engineering and Technology
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• v.38 no.6
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• pp.688-697
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• 2014

In this study, electrode bonding technology needed for high density of rechargeable battery is studied, which is recently researched for electric vehicle, the small leisure vessel. For the alternative overcoming the limit of stacking amount able to be stacked by conventional ultrasonic welding, the low temperature bonding method, eligible for minimum of degeneration of chemical activator on the electrode surface which is generated by thermal effect as well as the increase of conductivity and tension strength caused by electrode bonding using filler metal, not using conventional direct heating on the electrode material method, is studied. Specifically to say, recently used more generally the ultrasonic welding and spot welding method are not usable for satisfying stable electric conductivity and bonding strength when much electrode is stacking bonded. If the electrical power is unreasonably increased for the welding, due to the effect of welding temperature, deformation of electrode and activating material degeneration are caused, and after the last packaging, decline of electrical output and generating heat cause to reduce stability of battery. Therefore, in this study, induction heating system bonding method using high frequency heating and differentiated electrode method using filler metal pre-treatment of hot dipping are introduced.

• Journal of the Society of Naval Architects of Korea
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• v.34 no.1
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• pp.122-129
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• 1997

Thermo-elastic-plastic analyses used in solving plate forming process are often computationally expensive. To obtain an optimal process of line heating typically requires numerous iterations between the simulation and a finite element analysis. This process often becomes prohibitive due to the amount of computer time required for numerical simulation of line heating process. Therefore, a new techniques that could significantly reduce the computer time required to solve a complex analysis problem would be beneficial. In this paper, we considered factors that influence the bending effect by line heating and developed inference engine by using the concept of artificial neural network. To verify the validity of the neural network, we used results obtained from numerical analysis. We trained the neural network with the data made from numerical analysis and experiments varying the structure of neural network, in other words varying the number of hidden layers and the number of neurons in each hidden layers. From that we concluded that if the number of neurons in each hidden layers is large enough neural network having two hidden layers can be trained easily and errors between exact value and results obtained from trained network are not so large. Consequently, if there are enough number of training pairs, artificial neural network can infer similar results. Based on the numerical results, we applied the artificial neural network technique to deal with mechanical behavior of line heating at simulation stage effectively.

• KIPS Transactions on Software and Data Engineering
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• v.7 no.4
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• pp.129-134
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• 2018

Recently, the artificial neural network (ANN) model is a promising technique in the prediction, numerical control, robot control and pattern recognition. We predicted the outside temperature of greenhouse using ANN and utilized the model in greenhouse control. The performance of ANN model was evaluated and compared with multiple regression model(MRM) and support vector machine (SVM) model. The 10-fold cross validation was used as the evaluation method. In order to improve the prediction performance, the data reduction was performed by correlation analysis and new factor were extracted from measured data to improve the reliability of training data. The backpropagation algorithm was used for constructing ANN, multiple regression model was constructed by M5 method. And SVM model was constructed by epsilon-SVM method. As the result showed that the RMSE (Root Mean Squared Error) value of ANN, MRM and SVM were 0.9256, 1.8503 and 7.5521 respectively. In addition, by applying the prediction model to greenhouse heating load calculation, it can increase the income by reducing the energy cost in the greenhouse. The heating load of the experimented greenhouse was 3326.4kcal/h and the fuel consumption was estimated to be 453.8L as the total heating time is $10000^{\circ}C/h$. Therefore, data mining technology of ANN can be applied to various agricultural fields such as precise greenhouse control, cultivation techniques, and harvest prediction, thereby contributing to the development of smart agriculture.

• Journal of Information Processing Systems
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• v.13 no.5
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• pp.1358-1371
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• 2017

Dynamic thermal rating (DTR) system is an effective method to improve the capacity of existing overhead line. According to the methodology based on CIGRE (International Council on Large Electric systems) standard, ampacity values under steady-state heating balance can be calculated from ambient environmental conditions. In this study, simulation analysis of relations between parameters and ampacity is described as functional dependence, which can provide an effective basis for the design and research of overhead transmission lines. The simulation of ampacity variation in different rating scales is described in this paper, which are determined from real-time meteorological data and conductor state parameters. To test the performance of DTR in different rating scales, capacity improvement and risk level are presented. And the experimental results show that the capacity of transmission line by using DTR has significant improvement, with low probability of risk. The information of this study has an important reference value to the operation management of power grid.

• Proceedings of the KIPE Conference
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• 2013.11a
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• pp.224-226
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• 2013

본 논문은 유도가열 시스템의 자성체 판별 알고리즘을 제안한다. 코일의 형상 및 구성에 따른 임피던스를 수학적으로 분석하여 자성체와 비자성체 동시 가열을 위한 유도 코일을 능동적으로 설계 한다. 또한 인버터 출력전압과 부하 전류를 센싱하여 계산한 임피던스 값과 수식으로 구한 부하 임피던스를 비교해 가열 용기의 재질을 판별한다. 제안된 알고리즘을 통해 자성체 및 비자성체 유도가열을 하나의 공진형 인버터로 구현할 수 있다. 제안된 판별법은 시뮬레이션을 통해 검증한다.

• Proceedings of the Korea Institutes of Information Security and Cryptology Conference
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• 2006.06a
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• pp.604-607
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• 2006

Self-heating 키 분배 기법은 불안정한 네트워크 환경에서 그룹 키를 설정할 수 있게 하며, 그룹을 가입하거나 탈퇴하는 멤버 노드들에 의한 공모 공격에 대한 안전성으로 인하여, 센서 네트워크 환경에 적합한 방식이다. 하지만 기존에 제안된 Self-healing 키 분배 기법들은 브로드캐스트 되는 메시지의 통신량과 그룹 멤버의 그룹 키 복원을 위한 정보 저장량 측면에서 비효율적인 문제가 있다. 본 논문에서는 슬라이딩 윈도우(Sliding Window) 개념을 도입함으로써 향상된 Self-healing 키 분배 기법을 제안하여, 브로드캐스트 되는 메시지의 크기를 줄이고 멤버 노드 단위의 메모리에 대한 효율성을 향상시킨다.

• Proceedings of the KIEE Conference
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• 2006.07d
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• pp.1852-1853
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• 2006

This paper describes the development of temperature controller using program control method for small heating system. This system consists of three parts; sensing part, control part that includes the PID control algorithm, and actuating part. We introduce a zero-crossing control method of TRIAC and firmware technique using single chip micro-controller(ATmega8535) in the control part.