• Current Optics and Photonics
• /
• v.4 no.3
• /
• pp.221-228
• /
• 2020

We developed an all-fiber RGB laser light source module for application in an automobile head-up display. It is based on laser diodes and an optical fiber combiner that substantially enhances the flexibility of configuration and stability against harsh working conditions for automobiles. We coupled 13 laser diodes with optical fibers and merged them into a single output with a beam combiner device. Red (R), green (G), and blue (B) laser sources were employed to produce primary colors that were mixed into a white light output. An optical output power of approximately 1.5 W was achieved, and the color balance of the output lights was assessed based on the CIE 1931 color space. The optical output power was shown to be stable for over 160 h within an optical fluctuation of less than 0.27%.

• Journal of Institute of Control, Robotics and Systems
• /
• v.16 no.7
• /
• pp.695-702
• /
• 2010

This paper presents an image alignment algorithm for application of AOI (Automatic Optical Inspection) based on SIFT. Since the correspondences result using SIFT descriptor have many wrong points for aligning, this paper modified and classified those points by five measures called the CCFMR (Cascade Classifier for False Matching Reduction) After reduced the false matching, rotation and translation are estimated by point selection method. Experimental results show that the proposed method has fewer fail matching in comparison to commercial software MIL 8.0, and specially, less than twice with the well-controlled environment’s data sets (such as AOI system). The rotation and translation accuracy is robust than MIL in the noise data sets, but the errors are higher than in a rotation variation data sets although that also meaningful result in the practical system. In addition to, the computational time consumed by the proposed method is four times shorter than that by MIL which increases linearly according to noise.

• Proceeding of Spring/Autumn Annual Conference of KHA
• /
• 2005.11a
• /
• pp.337-340
• /
• 2005

The aim of this study is to provide primary data to propel business intended for the entire nation through the analytic assessment of the propulsion process of the newly attempted 'Dagagu' Housing Purchase and Public Rental Program (DPPRP) for the cities low income bracket. The study method was to conduct analysis of data, interview survey, onsite tenant interviews and examination of the locale in order to analyze the execution of the program and experiences of the administrator in charge of executing the model program. In the case of the enforcement of the 'Dagagu' Housing Purchase and Public Rental Program(DPPRP), combined teams of the specialty fields of purchase, rental, and management are needed; operation propulsion system of the purchase process of the housing, rental process for selecting the tenant, and the entire process of management afterwards needs to be maintained; and a collaboration system with related organizations need to be constructed.

• Smart Structures and Systems
• /
• v.11 no.4
• /
• pp.331-348
• /
• 2013

Effective monitoring, reliable data analysis, and rational data interpretations are challenges for engineers who are specialized in bridge health monitoring. This paper demonstrates how to use the Global Positioning System (GPS) and accelerometer data to accurately extract static and quasi-static displacements of the bridge induced by ambient effects. To eliminate the disadvantages of the two separate units, based on the characteristics of the bias terms derived from the GPS and accelerometer respectively, a wavelet based multi-step filtering method by combining the merits of the continuous wavelet transform (CWT) with the discrete stationary wavelet transform (SWT) is proposed so as to address the GPS deformation monitoring application more efficiently. The field measurements are carried out on an existing suspension bridge under the normal operation without any traffic interference. Experimental results showed that the frequencies and absolute displacements of the bridge can be accurate extracted by the proposed method. The integration of GPS and accelerometer can be used as a reliable tool to characterize the dynamic behavior of large structures such as suspension bridges undergoing environmental loads.

• Smart Structures and Systems
• /
• v.15 no.1
• /
• pp.191-207
• /
• 2015

Proper placement of sensors plays a key role in construction and implementation of an effective structural health monitoring (SHM) system. This paper proposes a novel methodology called the distributed monkey algorithm (DMA) for the optimum design of SHM system sensor arrays. Different from the existing algorithms, the dual-structure coding method is adopted for the representation of design variables and the single large population is partitioned into subsets and each subpopulation searches the space in different directions separately, leading to quicker convergence and higher searching capability. After the personal areas of all subpopulations have been finished, the initial optimal solutions in every subpopulation are extracted and reordered into a new subpopulation, and the harmony search algorithm (HSA) is incorporated to find the final optimal solution. A computational case of a high-rise building has been implemented to demonstrate the effectiveness of the proposed method. Investigations have clearly suggested that the proposed DMA is simple in concept, few in parameters, easy in implementation, and could generate sensor configurations superior to other conventional algorithms both in terms of generating optimal solutions as well as faster convergence.

• Journal of the Korean Society for Aviation and Aeronautics
• /
• v.30 no.4
• /
• pp.159-168
• /
• 2022

본 연구의 목적은 공항 세금 환급시스템의 혁신적 특성과 중국인 탑승객의 개인 통제신념이 수용 의도에 미치는 영향을 규명하고자 하였다. 본 연구는 계획된 행동이 세금환급을 받으려는 의도에 미치는 영향에 대해 이론적으로 고찰하고 분석하였다. 공항에서 세금환급시스템을 이용한 경험이 있는 중국인 탑승객 343명을 대상으로 자료를 수집하였다. 실증 분석 결과, 시스템 혁신적 특성에서 상대적 이점, 적합성 및 복잡성이 높고, 인식된 위험이 낮을수록, 개인 통제신념에서 행동신념, 규범신념 및 통제신념이 높을수록 이용자의 수용의도가 높은 것으로 판명되었다. 이용자 채택 단계에 따른 수용 의도 간의 차이를 분석한 결과, 초기 수용자 집단이 후기 수용자 집단보다 수용 의도가 높은 것으로 나타났다. 이용자의 채택 단계에 따라 수용 의도에 영향을 미치는 요인은 차이가 있었는데, 초기 수용자 집단에서는 시스템 혁신적 특성 중 적합성과 개인 통제신념이 중요한 변수였으며, 후기 수용자 집단에서는 시스템 혁신 특성 중 인식된 위험과 규범신념을 제외한 개인의 통제신념이 중요한 변수로 분석되었다. 따라서 공항 세금 환급시스템에 대한 초기 수용자들에게는 더 많은 확신을 줄 필요가 있으며, 후기 수용자들에게는 지각된 위험을 감소시켜 주어야 할 것이다.

• The Korean Journal of Physiology and Pharmacology
• /
• v.1 no.3
• /
• pp.315-323
• /
• 1997

Central tryptaminergic system has been shown to play an important role in the regulation of renal function: $5-HT_1(5-hydroxytryptamine_1)$ receptors might seem to mediate the diuresis and natriuresis, whereas the $5-HT_2\;and\;5-HT_3$ receptors mediate the antidiuretic and antinatriuretic effects. This study attempted to delineate the role of central $5-HT_{1A}$ subtype in the regulation of rabbit renal function by observing the renal effects of intracerebrovent-ricularly(icv)-administered PAPP(p-aminorhenylethyl-m-trifluoromethytphenyl piperazine, LY165163), a selective agonist of $5-HT_{1A}$ receptors. PAPP in doses ranging from 40 to $350{\mu}g/kg$ icv induced significantly diuresis, natriuresis, and kaliuresis, along with increased renal perfusion and glomerular filtration. Systemic blood pressure was also increased. Free water reabsorption$(T^cH_2O)$, a measure of ADH(antidiuretic hormone) secretion, was increased also. Intravenous $350{\mu}g/kg$ of PAPP elicited antidiuresis and antinatriuresis together with decreased blood pressure, thus indicating that the effects of icv PAPP were brought about through the central mechanisms, not by direct peripheral effects of the drug on kidney. Ketanserin, a selective $5-HT_2$ antagonist, $40{\mu}g/kg$ icv, did not affect the renal effects of the icv PAPP. Methysergide, a non-selective $5-HT_1$ antagonist, also did not block the renal functional responses by the icv PAPP. NAN-190, a $5-HT_{1A}$ antagonist, also did not antagonized the renal action of the icv PAPP. However the increased free water reabsorption was abolished by both methysergide or ketanserin pretreatment. The increments of blood pressure by icv PAPP was blocked only by NAN-190 pretreatment. These observations suggest that the central $5-HT_{1A}$ receptor might be involved in the central regulation of rabbit renal function by exerting the diuretic and natriuretic influences.

• The KIPS Transactions:PartD
• /
• v.16D no.4
• /
• pp.613-620
• /
• 2009

It is necessary to develop a system of judging whether or not the parts are defective easily at low cost, especially in a small scale factory which manufactures a large variety of products in small amounts. To develop such system, we require to recognize objects using human's cognitive ability under various circumstances. Human's high intelligence originates mostly from neocortex of human brain. The HTM theory, which is proposed by Jeff Hopkins, is one of the recent researches to model the operation principle of neocortex. In this paper we developed PRESM (Parts image REcognition System for small scale Manufacturing industry) system based on the HTM theory to judge badness of manufactured products. As a result of application to the real field of workplace environments we identified the superiority of our recognition system.

• Journal of Korea Multimedia Society
• /
• v.12 no.7
• /
• pp.1006-1015
• /
• 2009

This paper developed FRESH(Face image REcognition System for intelligent Home), proposed by Hopkins, which was to recognize the face of family members applying for HTM system that integrates a principal movement of human brain's neocortex with computers. For the purpose of confirming a result of the works, we took real photographs of both clear and distorted images, but the result produced higher accuracy about the distorted images providing by a real environment as well as clear images. In addition, the existing studies were focused on the recognition of facial zone that it was difficult to adapt for System for intelligent home. However, this thesis developed a system suitable for intelligent home which corresponds a facial image to his or her name.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.12 no.1
• /
• pp.413-435
• /
• 2018

Although the accuracy of handwritten character recognition based on deep networks has been shown to be superior to that of the traditional method, the use of an overly deep network significantly increases time consumption during parameter training. For this reason, this paper took the training time and recognition accuracy into consideration and proposed a novel handwritten character recognition algorithm with newly designed network structure, which is based on an extended nonlinear kernel residual network. This network is a non-extremely deep network, and its main design is as follows:(1) Design of an unsupervised apriori algorithm for intra-class clustering, making the subsequent network training more pertinent; (2) presentation of an intermediate convolution model with a pre-processed width level of 2;(3) presentation of a composite residual structure that designs a multi-level quick link; and (4) addition of a Dropout layer after the parameter optimization. The algorithm shows superior results on MNIST and SVHN dataset, which are two character benchmark recognition datasets, and achieves better recognition accuracy and higher recognition efficiency than other deep structures with the same number of layers.