• 한국정보통신설비학회:학술대회논문집
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• 2009.08a
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• pp.25-27
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• 2009

In this paper, a sensor network system for providing intelligent home network services is suggested. It steadily collects biological data of resident people and automatically detects emergency situations LEID(Lighting Embedded Information Device) system are the most essential component of the sensor network. They embed sensor network technology into lightening devices which are indispensable most living spaces. To verify practicality of the proposed intelligent home network service system, a prototypical system is realized in the Smart Home Industrialization Support Center at Kookmin University, and is tested within many practical circumstances.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.11a
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• pp.1162-1165
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• 2017

4차 산업혁명이 대두되고 있어 IoT사물인터넷이 각광받고 있다. Bluetooth 4.0 Low Energy를 사용하여 LED조명이 기존의 단순한 조명역할에서 벗어나 IoT(Internet of Things)기술을 결합시켜 사용자가 손쉽게 환경변화에 의한 LED On/Off, Color Control, 밝기 조절을 통해 높은 부가가치를 실현하여 사람의 생활의 가치를 높이도록 한다. 또한, LED소자는 반영구적인 것에 비해 실제 상용화 된 LED등을 사용할 시 드라이버 회로의 문제로 인해 1년 정도의 수명을 가진다. 이러한 드라이버 회로의 문제를 개선하여 LED소자의 반영구적인 특성을 최대한 활용하여 LED조명의 수명을 높이고자 한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.11a
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• pp.1127-1129
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• 2017

상품의 매출은 진열 환경에 크게 영향을 받기 때문에 백화점을 비롯한 각급 매장에서는 다양한 연구를 진행하고 있다. 특히 조명에 따라 의류나 가구는 물론이고 과일을 비롯한 식료품의 매출액도 많은 영향을 받는 것으로 알려져 있다. 이에 따라 어떤 색상의 배경이나 조명이 소비자의 주목을 끌고 호감을 줄 수 있는지에 대한 연구들이 디자인 학자들을 중심으로 이루어지고 있으나, 실제 매장에서는 상품 색상에 맞춰 배경이나 조명을 변경하는 것이 거의 불가능한 실정이다. 따라서 본 연구에서는 상품 색상별로 소비자의 주목을 끌고 호감을 이끌어내서 상품 구매로 이어질 수 있는 IoT 기반의 스마트 LED 조명 시스템을 아두이노 보드를 이용하여 구현하고자 한다.

• International journal of advanced smart convergence
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• v.4 no.2
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• pp.6-13
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• 2015

With the spread of various kinds of cameras such as digital cameras and DSLR and a growing interest in high-definition and high-resolution images, a method that synthesizes multiple images is being studied among various methods. High Dynamic Range (HDR) images store light exposure with even wider range of number than normal digital images. Therefore, it can store the intensity of light inherent in specific scenes expressed by light sources in real life quite accurately. This study suggests feature points synthesis algorithm to improve the performance of HDR panorama recognition method (algorithm) at recognition and coordination level through classifying the feature points for image recognition using more than one multi frames.

• International journal of advanced smart convergence
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• v.7 no.4
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• pp.40-49
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• 2018

We propose a more stable robust recognition algorithm which detects faces reliably even in cases where there are changes in lighting and angle of view, as well it satisfies efficiency in calculation and detection performance. We propose detects the face area alone after normalization through pre-processing and obtains a feature vector using (PCA). The feature vector is applied to LDA and using Euclidean distance of intra-class variance and inter class variance in the 2nd dimension, the final analysis and matching is performed. Experimental results show that the proposed method has a wider distribution when the input image is rotated $45^{\circ}$ left / right. We can improve the recognition rate by applying this feature value to a single algorithm and complex algorithm, and it is possible to recognize in real time because it does not require much calculation amount due to dimensional reduction.

• International journal of advanced smart convergence
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• v.7 no.4
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• pp.114-120
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• 2018

The purpose of this paper is to develop simulations that can be used for virtual education in dentistry. This development goal is to allow dental students to learn the necessary surgical techniques at the point of their choice, not going into the operating room, away from time, space, and physical limits. In this paper configuration, the optimization method is applied convergent, and when the operation of the VR contents is performed, the content data is extracted from the interaction analysis formed in the VR engine, and the data is processed by the content algorithm. It also computes events and dental operations generated within the 3D engine programming and generates corresponding events through data processing according to the input signal. The visualization information is output to the HMD using the rendering information. In addition, the operating room environment was constructed by studying lighting and material for actual operating room environment. We applied the ratio of actual space to virtual space and the ratio between character and actual person to create a spatial composition at a similar rate to actual space.

• Journal of the Korea Society of Computer and Information
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• v.23 no.12
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• pp.145-151
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• 2018

While commercialization of IoT technologies in the safety management sector is being promoted in terms of industrial safety of large indoor businesses, implementing a system for risk management of small outdoor work sites with frequent site movements is not actively implemented. In this paper, we propose an efficient dynamic workload balancing strategy which combined low-power, wide-bandwidth (LPWA) communication and low-power Bluetooth (BLE) communication technologies to support customized risk management alarm systems for each individual (driver/operator/manager). This study was designed to enable long-term low-power collection and transmission of traffic information in outdoor environment, as well as to implement an integrated real-time safety management system that notifies a whole field worker who does not carry a separate smart device in advance. Performance assessments of the system, including risk alerts to drivers and workers via Bluetooth communication, the speed at which critical text messages are received, and the operation of warning/lighting lamps are all well suited to field application.

• ETRI Journal
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• v.41 no.4
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• pp.506-514
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• 2019

Currently, studies on autonomous driving are being actively conducted. Vehicle positioning techniques are very important in the autonomous driving area. Currently, the global positioning system (GPS) is the most widely used technology for vehicle positioning. Although technologies such as the inertial navigation system and vision are used in combination with GPS to enhance precision, there is a limitation in measuring the lane and position in shaded areas of GPS, like tunnels. To solve such problems, this paper presents the use of LED lighting for position estimation in GPS shadow areas. This paper presents simulations in the environment of three-lane tunnels with LEDs of different color temperatures, and the results show that position estimation is possible by the analyzing chromaticity of LED lights. To improve the precision of positioning, a fuzzy logic system is added to the location function in the literature [1]. The experimental results showed that the average error was 0.0619 cm, and verify that the performance of developed position estimation system is viable compared with previous works.

• Journal of Information Processing Systems
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• v.15 no.1
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• pp.47-54
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• 2019

This study is concerned with the mechanism and structure of an optical microscope and an automatic multi-focus algorithm for automatically selecting sharp images from multiple foci of a cell. To obtain precise cell images quickly, a z-axis actuator with a resolution of $0.1{\mu}m$ was designed to control an optical microscope Moreover, a lighting control system was constructed to select the color and brightness of light that best suit the object being viewed. Cell images are captured by the instrument and the sharpness of each image is determined using Gaussian and Laplacian filters. Next, cubic spline interpolation and peak detection algorithms are applied to automatically find the most vivid points among multiple images of a single object. A cancer cell imaging experiment using propidium iodide staining confirmed that a sharp multipoint image can be obtained using this microscope. The proposed system is expected to save time and effort required to extract suitable cell images and increase the convenience of cell analysis.

• International journal of advanced smart convergence
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• v.12 no.2
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• pp.96-101
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• 2023

Digital art creation has become an indispensable part of today's society, but traditional digital art production methods have been difficult to meet the growing creative needs of artists. Therefore, this study takes the cloud series works of artist Morten Lasskogen as an example and explores the application value of 3D Max and Unreal Engine in digital art created by analyzing the lighting effects in the works of art. This research aims to form reference materials through actual case analysis and provide artists with more efficient ideas for digital art creation.