• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.18 no.5
• /
• pp.147-153
• /
• 2018

Beacon enables one to measure distance indoors based on low-power Bluetooth low energy (BLE) technology, while GPS (Global Positioning System) only can be used outdoors. In measuring indoor distance using Beacon, RSSI (Received Signal Strength Indication) is considered as the one of the key factors, however, it is influenced by various environmental factors so that it causes the huge gap between the estimated distance and the real. In order to handle this issue, we propose the adaptive ANN (Artificial Neural Network) based approach to measuring the exact distance using Beacon. First, we has carried out the preprocessing of the RSSI signals by applying the extended Kalman filter and the signal stabilization filter into decreasing the noise. Then, we suggest the multi-layered ANNs, each of which layer is learned by specific training data sets. The results showed an average error of 0.67m, a precision of 0.78.

• Transactions of the Korean Society of Mechanical Engineers B
• /
• v.40 no.2
• /
• pp.85-91
• /
• 2016

The Positive Temperature Coefficient (PTC) is used for cabin air heating of a battery electric vehicle, which is different from conventional vehicles. Since the PTC heater consumes a large quantity of power in a parasitic manner, many valuable studies have been reported in the field of alternative heat pumps. In this study, a model for an R134a heat pump taking into account the thermal environment of the cabin was developed for a MATLAB/SIMULINK(R) platform. Component and cabin models are validated with reference values. Results show that the heat pump is more competitive for parasitic power consumption over all ambient temperature conditions. Additionally, the method of waste heat recovery to overcome disadvantages when temperatures are below zero is applied to efficiently operate the heat pump.

• Journal of Korean Society for Geospatial Information Science
• /
• v.25 no.1
• /
• pp.63-70
• /
• 2017

On the spatial information open platform, the national spatial data are released to provide services that the people can use freely. Recently, the demand for high quality 3D geospatial information and indoor spatial information is increasing. However, open platform is not able to provide seamless service because spatial data of indoor and outdoor are composed of different formats and storage structures. In addition, the 3D data format used in the current service does not reflect the recent changes in service environment and new technology. Therefore, in this study, we proposed new format of 3D data used in service to improve interoperability and service of open platform 3D data. The proposed format is lighter than the existing format and the rendering speed is improved.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2007.10a
• /
• pp.127-130
• /
• 2007

Skin detection research is important role in the 3G of mobile phone for video telephony and security system by using face recognition. We propose skin detection algorithm as preprocessing to the face recognition, and use YCbCr color space. In existing skin detection algorithm using CbCr, skin colors that is brightened by camera flash or sunlight at outdoor in images doesn't acknowledged the skin region. In order to detect skin region accuracy into any circumstance, this paper proposes 3-channel skin detection algorithm.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.20 no.12
• /
• pp.1-7
• /
• 2019

This paper presents low-complexity single-image dehazing to enhance the visibility of outdoor images that are susceptible to degradation due to weather and environmental conditions, and applies it to various devices. The conventional methods involve refinement of coarse transmission with high computational complexity and extensive memory requirements. But the proposed transmission estimation method includes excellent edge-preserving performance from comparison of the pixel-based dark channel and the patch-based dark channel in the vicinity of edges, and transmission can be estimated with low complexity since no refinement is required. Moreover, it is possible to accurately estimate transmissions and adaptively remove haze according to the characteristics of the images via prediction of the atmospheric light for each pixel using joint bright and dark channel (JBDC). Comprehensive experiments on various hazy images show that the proposed method exhibits reduced computational complexity and excellent dehazing performance, compared to the existing methods; thus, it can be applied to various fields including real-time devices.

• 한국신재생에너지학회:학술대회논문집
• /
• 2011.11a
• /
• pp.82.1-82.1
• /
• 2011

최근 국내에서 발생된 대규모 정전사태로 인해 안정적인 전력공급에 대한 국민들의 요구가 커져, 지난 3월 일본 후쿠시마 원전사고 이후 다시 한번 분산전원에 대한 필요성이 대두되어지고 있다. 여러 분산전원 중 연료전지는 다른 에너지원에 비해 에너지의 지속성이 우수하여 가장 안정적인 분산전원 형태의 하나이다. 이에 따라 국내의 경우 우수한 도시가스 인프라로 인해 건물용 연료전지라는 신기술에 대한 국민의 수용성은 점점 높아질 것으로 기대된다. 현재 건물용 연료전지의 경우, 주로 1kW급 연료전지가 시범보급되어 각 가정에 설치되어지고 있으나, 상가, 주유소 및 편의점 등의 상업시설과 생활관 및 소형빌라 등의 집단 주거시설 같은 1kW급 보다 용량을 더 필요로 하는 응용처에 국내에서 개발된 5kW급 연료전지시스템이 적용되어지기를 기대한다. 본 연구에서는 국내 제작된 5kW급 고분자전해질 연료전지시스템의 보급이전에 안전성능 평가를 통해 시스템의 성능 및 안전성 평가결과를 제조사에 피드백 하여 5kW급 건물용 연료전지시스템의 조기 상업화에 앞장서고자 한다. 5kW급 연료전지시스템의 기술개발은 핵심부품인 연료변환기, 스택 및 BOP 기술의 경우 1kW급 연료전지시스템에 적용된 것과는 다른 기술이 필요하고, 단순한 scale-up 과정이 아닌 새로운 기술개발로 제품에 적용시켜야 하는 난점을 가지고 있다. 특히, 연료변환기의 경우 연료 유량의 증가로 인하여 reformer, CO shift 및 Prox 반응기의 유체역학, 열교환 흐름 및 촉매반응 공학적으로 이론을 응용한 새로운 반응기 설계와 제작기술 확립이 선행되어 전체적인 시스템 제작 설계에 반영되어져야 한다. 그러므로 본 연구에서는 연료전지시스템 안전성능 평가를 위해 용량증대에 따른 안전성평가 항목을 검토하고, 5kW급 연료전지시스템평가를 수행하여 시스템의 제품성능, 작동성능 및 계통연계성능에서의 안전성을 확인하였고, 정전 유풍과 같은 이상조건 및 실외 환경에 대한 시스템의 안전성도 확인하였다. 또한 부하운전 조건을 75% 및 50%로 변화시켰을 때 빠른 응답시간과 안정적인 부하변동운전을 확인하였다.

• Journal of Korea Society of Industrial Information Systems
• /
• v.16 no.2
• /
• pp.65-72
• /
• 2011

In this paper, a real-time monocular vision based navigation system is developed for the disabled people, where online background learning and vector field histogram are used for identifying obstacles and recognizing avoidable paths. The proposed system is performed by three steps: obstacle classification, occupancy grid map generation and VFH-based path recommendation. Firstly, the obstacles are discriminated from images by subtracting with background model which is learned in real time. Thereafter, based on the classification results, an occupancy map sized at $32{\times}24$ is produced, each cell of which represents its own risk by 10 gray levels. Finally, the polar histogram is drawn from the occupancy map, then the sectors corresponding to the valley are chosen as safe paths. To assess the effectiveness of the proposed system, it was tested with a variety of obstacles at indoors and outdoors, then it showed the a'ccuracy of 88%. Moreover, it showed the superior performance when comparing with sensor based navigation systems, which proved the feasibility of the proposed system in using assistive devices of disabled people.

• Journal of the Korean Wood Science and Technology
• /
• v.37 no.4
• /
• pp.320-329
• /
• 2009

The purpose of this study was reducing the moisture accumulation in a wall, which can threaten the structural safety of light-frame wall and make residential environment poor. For the purpose, the laboratory test was carried out with different wall assemblies. Vapor retarder and air gap for ventilation were added to the typical wall. The improved performance of the proposed walls was examined through the test with distinct difference of temperature and relative humidity between outdoor and indoor air conditions. Increased dampproofing performance of additional vapor retarder was effective on reduction of moisture transmission from inside the house into the wall. However, unexpected high relative humidity was shown in the wall with two additional vapor retarder because of excessive dampproofing performance or inadequate location of vapor retarder. And, the open air gap induced the moisture transfer from inside the wall into outdoor air by ventilation. If the alternative to the induction of moisture transmission from inside the house into the wall with open air gap can be found, moisture reduction effect of that will be increased obviously.

• Journal of the Korea Convergence Society
• /
• v.8 no.3
• /
• pp.31-40
• /
• 2017

The rise of eco-friendly personal electric mobility is a worldwide trend and the first Korean-made IT convergence electric skateboard, Youth Board, is developed to lead the trend. Youth Board is remotely controllable using either Youth Wearable Controller or Youth App through Bluetooth v4.0 communication, can speed up to 25 km/hr, and operating time is approximately 1.5 hr. A LED display located in the front side of Youth Board deck shows three different states to a rider for user convenience: remaining battery SOC, current driving speed, and braking amount. Indoor EMC test results between Youth Board and Youth Wearable Controller and outdoor Youth Board driving test results are analyzed. In particular, driving test results show the maximum current output is about 15% lowered compared to the other competitor electric skateboard and it lessens the power burden of the motor ESC. These results show Youth Board's usefulness as a personal mobility in the sense of small, light, and inexpensive aspects.

• Journal of Advanced Marine Engineering and Technology
• /
• v.37 no.2
• /
• pp.213-219
• /
• 2013

Recently, with the rapid advancement in information and communication technology, indoor location-based services(LBSs) that require precise position tracking have been actively studied with outdoor-LBS using GPS. However, in case of a ship which consists of steel structure, it is difficult to measure a precise localization due to significant ranging error by the diffraction and refraction of radio waves. In order to reduce location measurement errors that occur in these indoor environments, this paper presents distance compensation algorithms that are suitable for a narrow passage such as ship corridors without any additional sensors by using UWB(Ultra-wide-band), which is robust to multi-path and has an error in the range of a few centimeters in free space. These improvement methods are that Pythagorean theory and adjacent node technique are used to solve the distance error due to the node deployment and distance variation analysis technique is applied to reduce the ranging errors which are significantly fluctuated in the corner section. The experimental results show that the number of nodes and the distance error are reduced to 66% and 57.41%, respectively, compared with conventional CSS(Chirp spread spectrum) method.