• Science of Emotion and Sensibility
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• v.3 no.2
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• pp.1-8
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• 2000

본 연구에서는 기존의 공조방식 및 본 연구에 제안된 개별환경제어시스템(PEM)으로부터 재실자가 거주하여 사용하고 있는 컴퓨터룸(CR)에 대해 기하학적으로 3차원 시뮬레이션을 수행하여 CR의 열취득과 재실자 온열 쾌적감을 감성공학적 측면에서 분석하였다. 본 연구로부터 바닥으로부터 공기를 유입하여 천정으로 유출하는 바닥취출공조(TAM)방식이 실내 환경 개선에 유리하고 디퓨저만을 통하여 공기가 유입되어 천정과 바닥으로 공가가 유출되는 개별공조(PEM) 방식은 열적 냉각 성능은 좋으나 컴퓨터와 재실자 주변에 강력한 ㅐ순환 유동을 유인하여 실내 환경의 쾌적감 측면에서는 불리하다. 그러나 PEM과 TAM방식의 결합이 감성공학적 온열특성 분포로부터 CR의 재실자 주변온도 분포에 최적임을 알 수 있다.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.10a
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• pp.154-155
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• 2015

본 연구에서는 온도와 습도 데이터를 수집하여 주택의 실내 온습도를 제어하는 시스템을 제안한다. 제안하는 시스템은 IoT 기반이 되는 아두이노와 센서들을 활용하여 수집한 데이터를 에이전트 서버에 저장 관리한다. 에이전트 서버는 저장된 데이터를 기반으로 하여 주택의 실내 온습도를 제어하여 쾌적한 주거 환경을 제공한다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.1
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• pp.199-207
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• 2016

In this paper, we propose efficient smart indoor emotional lighting control system based on android platform using the biological signal. The proposed smart indoor smart emotional lighting control system were configured as the biological signal measurement device and removable smart wall pad, lighting driver, luminaire. The control system was extracts the emotional language by measured the biological signal, and it was transmitted a control signal to each lighting driver using a bluetooth in the wall pad. The lighting driver were designed to control the lighting device through an expansion board by collected control signal and the illuminance information the surrounding. In this case, the wall pad can be selecting of manual control and the bio signal mode by that indoor emotional lighting control algorithms, and it was implemented the control program that possible to partial control by selecting the wanted light. Experiment results of the proposed smart indoor emotional lighting control system, it were possible to the optional control about the luminaire of required area, and the manual control by to adjustable of color temperature with that the efficiently adjustable of lighting by to biological signal and emotional language. Therefore, were possible to effective control for improvement of concentration and business capability of indoor space business conduct by controlling the color and brightness that is appropriate for your situation. And, was reduced power consumption and dimmer voltage, lighting-current than the existing-emotional lighting control system.

• The Journal of the Korea institute of electronic communication sciences
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• v.12 no.3
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• pp.465-470
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• 2017

This paper designs and implements a smart garden system using probabilistic filter algorithm using SLAM that can be used in apartment or veranda. To do this, we used Arduino and environtal sensors, which are open hardware controllers, and designed to control and observe automatic water supply, lighting, and growth monitoring with three wireless systems (Bluetooth, Ethernet, WiFi). This system has been developed to make it possible to use it in an indoor space such as an apartment, rather than a large-scale cultivation system such as a conventional plant factory which has already been widely used. The developed system collects environmental data by using soil sensor, illuminance sensor, humidity sensor and temperature sensor as well as control through smartphone app, analyzes the collected data, and controls water pump, LED lamp, air ventilation fan and so on. As a wireless remote control method, we implemented Bluetooth, Ethernet and WiFi. Finally, it is designed for users to enable remote control and monitoring when the user is not in the house.

• The Magazine of the Society of Air-Conditioning and Refrigerating Engineers of Korea
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• v.26 no.3
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• pp.193-199
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• 1997

• Journal of the Korean Society for Geothermal and Hydrothermal Energy
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• v.12 no.4
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• pp.21-26
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• 2016

In this study, the control strategies of indoor air temperature in floor radiant heating system were researched by computer simulation. The temperature difference based time control method using the difference of indoor set temperature and indoor temperature is compared with the existing On-Off control one for heating control performances. As a result, the temperature difference based time control method shows better thermal environmental characteristics in case of selected operational conditions in comparison with existing control one.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.12
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• pp.6610-6617
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• 2013

This study examined the current and future Indoor Air Quality (IAQ) control device markets and analyzed the recent studies on indoor air pollutantr emoval to develop a new technology for fine dust control. Currently, the mechanical filter technique occupies the bulk of the IAQ control market but the electronic technique is emerging as an alternative to control fine dust efficiently. Among the gaseous VOCs and fine dust particles contaminating the indoor air quality, fine dust particles are more problematic because they threaten human health by penetrating deep into the body and producing secondary contaminants by chemical reaction with VOCs. The electronic IAQ control device using dielectrophoretic and electrostatic forces is a good option for public spaces where many people pass, and at the same time, it needs to consider temperature, humidity, and the particle properties of specific areas to highlight the control efficiency. Electronic-related technology is expected to be used widely in many public/private spaces wherever a dust-free environment is required.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.10
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• pp.2201-2206
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• 2010

The shortage of fossil fuel drives researchers to find a new way to increases energy efficiency. In this paper, we propose a method to control the direction and speed of an air conditioner using a thermal image and fuzzy controlling method, which results in the increase of energy efficiency. The thermal image is first converted into a color temperature image which represents the temperature range from $24.0^{\circ}C$ to $27.0^{\circ}C$. The temperature image is divided into 5 columns and the distribution of them is used to analyze room temperature and control an air conditioner. The proposed method was applied to 300 by 400 thermal images. When the performance of the proposed method was compared to existing systems in energy efficiency, the proposed method was better than existing methods, which is clear from experimental results.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.15 no.2
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• pp.181-187
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• 2015

In this study, an LED emotional lighting algorithm optimized to the situation was implemented using fuzzy inference for users in exercise and resting situations in indoor environment. The fuzzy theory was used instead of the conventional simple color temperature control in order to control the colors and color temperatures of LED light sources in line with user environment under complex conditions. An LED emotional lighting system based on fuzzy theory was designed through a combination of colors according to the color and temperature of emotional language based on the user behavior. As a result, the color and color temperature can give a good effect on user's emotions for an emotional lighting that is effective for resting and exercise.

• Korean Journal of Air-Conditioning and Refrigeration Engineering
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• v.27 no.5
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• pp.247-253
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• 2015

The presented work demonstrates the effects of flow rate on the secondary side of DHS (District Heating System). Increasing flow rate at the secondary side of DHS decreases energy consumption and time to reach the set-point of the heated room while increasing heat flux on the floor in the heating space. When flow rate increases, the overall heat transfer rate of radiant floor also increases. However, the results also show overall heat transfer rateto not increased linearly and thus the existence of an optimal flow rate for the secondary side of DHS. Control of the radiant floor with hot water may be more effectively accomplished with a combined control strategy that includes heat flux and a temperature set-point. This experimental analysis has been performed using a lab-scaled DHS pilot plant located at Jeonju University in Korea.