• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.4
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• pp.691-697
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• 2016

In this paper, we propose the antenna to appropriate for a UWB communication system, and it meets characteristics for location recognition in predetermined range. Proposed tapered slot antenna was designed through the HFSS simulation tool of Ansys. Inc., it was produced by Taconic TRF-45 based on dielectric constant of 4.5, loss tangent 0.0035, thickness 1.62mm. The tapered slot antenna is analyzed the standing wave ratio and reflection coefficient, radiation pattern in the frequency domain. The impedance bandwidth range of the produced tapered slot antenna is from 3.8 ~ 8.9GHz to 5.1GHz, E-plane and H-plane radiation pattern meet directional antenna characteristics for indoor and outdoor location recognition in predetermined range. The antenna gain is 7.4 dBi(6GHz)in the simulation, the result of measurement demonstrated 7.4 dBi(6 GHz) of antenna maximum gain. Proposed tapered slot antenna meets UWB communication system but simulated and measured results were slightly different.

• Journal of the Institute of Convergence Signal Processing
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• v.11 no.1
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• pp.88-91
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• 2010

In this paper, We are composed the position recognition and speed control using the moving robot in the shield Room with a RF Module and Ultrasonic Sensors. Double look up tables are selected a reference value/duty ratio. The moving robot with the dual fuzzy rules which can decrease a Conversion time than basic fuzzy control rules at start point and curve region. Also, a changing times of double look up table are rise at specific points b1,c1,d1 in the e-${\Delta}e$ phase plane and the one of the look up table is used which for increase rising time at transition area, the other used for rapidly conversion to the reference value. We verified that a dual fuzzy control rules get the good response compare with the basic fuzzy control rule.

• Journal of the Korea Society of Computer and Information
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• v.16 no.9
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• pp.27-33
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• 2011

In this paper, we propose an efficient on-line handwritten digit recognition base on Convex-Concave curves feature which is extracted by a chain code sequence using Smith-Waterman alignment algorithm. The time sequential signal from mouse movement on the writing pad is described as a sequence of consecutive points on the x-y plane. So, we can create data-set which are successive and time-sequential pixel position data by preprocessing. Data preprocessed is used for Convex-Concave curves feature extraction. This feature is scale-, translation-, and rotation-invariant. The extracted specific feature is fed to a Smith-Waterman alignment algorithm, which in turn classifies it as one of the nine digits. In comparison with backpropagation neural network, Smith-Waterman alignment has the more outstanding performance.

• Journal of IKEEE
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• v.21 no.4
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• pp.412-415
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• 2017

In this paper, we propose a multi license plate recognition system using high resolution $360^{\circ}$ omnidirectional IP camera. The proposed system consists of a planar division part of $360^{\circ}$ circular image and a multi license plate recognition part. The planar division part of the $360^{\circ}$ circular image are divided into a planar image with enhanced image quality through processes such as circular image acquisition, circular image segmentation, conversion to plane image, pixel correction using color interpolation, color correction and edge correction in a high resolution $360^{\circ}$ omnidirectional IP Camera. Multi license plate recognition part is through the multi-plate extraction candidate region, a multi-plate candidate area normalized and restore, multiple license plate number, character recognition using a neural network in the process of recognizing a multi-planar imaging plates. In order to evaluate the multi license plate recognition system using the proposed high resolution $360^{\circ}$ omnidirectional IP camera, we experimented with a specialist in the operation of intelligent parking control system, and 97.8% of high plate recognition rate was confirmed.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.05a
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• pp.155-157
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• 2012

In this paper, we propose a nonlinear 3D image correlator using computational reconstruction of 3D images based on integral imaging. In the proposed method, the elemental images for reference 3D object and target 3D object are recorded through the lens array. The recorded elemental images are reconstructed as reference plane image and target plane images using the computational integral imaging reconstruction algorithm and the nonolinear correlation between them is performed for object recognition. To show the usefulness of the proposed method, the preliminary experiments are carried out and the experimental results are presented compared with the conventional results.

• Journal of Acupuncture Research
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• v.23 no.3
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• pp.231-239
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• 2006

Functional medicine is a system which utilizes certain investigative and treatment methods that are primarily oriented toward the recognition of functional disorder. Functional disorders take place on an energetic plane. This plane is not capturable using our regular investigatory techniques, such as X -ray. ultrasound, computer tomography and laboratory analyses. The 7-zone-diagnostic system(VEGA-DFM 722 and ABR-2000, etc) is a diagnostic device Which applies pulse signals to predetermined bodily locations. Applying alternating positive and negative stress to tissues with positive and negative pulses first manifests itself as negative and positive wave forms. The skin has many functions as an organ. It is the organism's interlace with the outsider world. Hence, the manner in which the skin reacts to external stimuli reflects the current state of the organism(as meridian systems). This system make a diagnosis of functional disorder or some typical organic diseases include stress of the mind or the body, and the energetic situation, reserves. We are known a disorder or disease throw the result chart. This result chart contain disorder flow wave forms and some valuable diagnostic hints (letters ; S, OM, RA, etc). In spite of this 7-zone-diagnostic system that is applied plentifully in the clinical application, there is not a statistics which is suitable. Therefor we must carry out many various research in the future.

• KIPS Transactions on Software and Data Engineering
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• v.4 no.5
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• pp.241-246
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• 2015

Although many different methods have been used to solve stereo correspondent problems, the deviation of accuracy is too big. Among those many methods, the one that uses segmentation information of input image has received high attention in academic field since it is very close to vision recognition. In this thesis, the existing method of acquiring a single value by using the segment information and initial disparity value was viewed in NP-hard problem to propose a new method. In order to verify the validity of the proposed method, well-known data were used for experiment and the resulted data was analyzed. Although there were some disadvantages in the time aspect, it showed somewhat useful results in the accuracy aspect.

• Korean Journal of Human Ecology
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• v.24 no.3
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• pp.407-421
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• 2015

This study examined the pixel's expression trend and nature featured in contemporary fashion, which works as a basic unit symbolizing the digital image, paying attention to its formativeness. The work through this process aimed at suggesting an opportunity for recognition about pixel image utilized as a formative component beyond its simple meaning of unit and providing the fundamental materials for usage in creative fashion design reflecting the digital emotion in the future, In research method, literature review was followed on pixel and the empirical study about its image was also performed that was found in the modern fashion. As a result, the trend in pixel has these characteristics. Its first nature lies in its plane expression. It was printed as mosaic or graphic grid image or expressed through patchwork technique. Also, rather than a certain form or figure, its unique image was emphasized according to the applied color, size, and position. Second, a stepwise pattern in pixel was applied to external format for part of clothing, eye glass and necktie, indicating some interest and wit. Third, in application to plane and external shape, the graphically modernized effect was realized, not to mention the illusive image with cubic expression. As shown, the characteristics in contemporary fashion via pixel expression were given in fantastic image, optical humor, and reflection of digital value.

• Journal of the Korean Institute of Rural Architecture
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• v.12 no.2
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• pp.77-84
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• 2010

Hanok has been widely distributed as a support policy by local governments for the purpose of improving residential environment. In this study, Hanok in a rural area was founded was to evaluate the user's satisfaction. Hanok between residents and the perception of architects and tries to figure out the difference. Current Hanok residents showed higher satisfaction, but they showed negative response for high construct cost, plane form of building, insulation performance and noise. According to the comparison of recognition between residents and architectural designers, they showed differences in "Low soundproofing", "lack of storage space", "Equipment", "Tile", "The modularity of the flat panel design", and "The modularity of construction materials" and it was examined that architectural designers group had higher preference for traditional materials and forms. For succeeding to the traditional architectural factors of Hanok and distributing it as modern house, the research on use of modern materials and modulation of plane and members should be performed for reducing construction cost and improving insulation performance.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.11
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• pp.5436-5458
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• 2017

Automatic Video Surveillance System (AVSS) has become important to computer vision researchers as crime has increased in the twenty-first century. As a new branch of AVSS, baggage detection has a wide area of security applications. Some of them are, detecting baggage in baggage restricted super shop, detecting unclaimed baggage in public space etc. However, in this paper, a detection & classification framework of baggage is proposed. Initially, background subtraction is performed instead of sliding window approach to speed up the system and HSI model is used to deal with different illumination conditions. Then, a model is introduced to overcome shadow effect. Then, occlusion of objects is detected using proposed mirroring algorithm to track individual objects. Extraction of rotational signal descriptor (SP-RSD-HOG) with support plane from Region of Interest (ROI) add rotation invariance nature in HOG. Finally, dynamic human body parameter setting approach enables the system to detect & classify single or multiple pieces of carried baggage even if some portions of human are absent. In baggage detection, a strong classifier is generated by boosting similarity measure based multi layer Support Vector Machine (SVM)s into HOG based SVM. This boosting technique has been used to deal with various texture patterns of baggage. Experimental results have discovered the system satisfactorily accurate and faster comparative to other alternatives.