• The Journal of Korea Robotics Society
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• v.5 no.2
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• pp.152-159
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• 2010

Finding a head of a person in a scene is very important for taking a well composed picture by a robot photographer because it depends on the position of the head. So in this paper, we propose a robust head tracking algorithm using a hybrid of an omega shape tracker and local binary pattern (LBP) AdaBoost face detector for the robot photographer to take a fine picture automatically. Face detection algorithms have good performance in terms of finding frontal faces, but it is not the same for rotated faces. In addition, when the face is occluded by a hat or hands, it has a hard time finding the face. In order to solve this problem, the omega shape tracker based on active shape model (ASM) is presented. The omega shape tracker is robust to occlusion and illuminationchange. However, whenthe environment is dynamic,such as when people move fast and when there is a complex background, its performance is unsatisfactory. Therefore, a method combining the face detection algorithm and the omega shape tracker by probabilistic method using histograms of oriented gradient (HOG) descriptor is proposed in this paper, in order to robustly find human head. A robot photographer was also implemented to abide by the 'rule of thirds' and to take photos when people smile.

• Korean Institute of Interior Design Journal
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• v.25 no.3
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• pp.90-101
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• 2016

The Homeshare program, which was introduced in 2012, has been implemented with the purpose of reduction of housing costs for young students and economic support for the senior to prevent isolation and help themselves. Nonetheless, the program has not being activated and the research about it has not progressed well. Therefore, this study as a basic research of the program aims to analyze and evaluate the program in progress in district offices to push it forward. This study was undertaken on documentary research and interviews, which analyzed advanced researches and open materials from the websites of district offices. The interviews were conducted in 4 gu-district offices (Nowon-gu, Gwangjin-gu, Seodaemun-gu, and Seongdong-gu) and did interviews with officials in charge on July in 2015. The result of this study is as follows. First, the Homeshare is being activated around the university town, which has advantage of housing welfare aspects for young students and social welfare aspects for the senior. Second, the support structures of the Homeshare can be categorized as the gu-districts offices, local resources and different structures funded by the Seoul City. Third, the process of the Homeshare takes 5 steps consisted of advertisement, reception/counseling, matching, contract, follow-up management. Fourth, the matching makes it a rule to match the same gender considering safety. In the case of the participation of the official in charge, it has a advantage of solving problems that can occur when the matching, which can lead to smooth progress. Fifth, joint consultation is divided into the contract among participants and the contract between participants and the gu-district office. Sixth, the follow-up management takes rather passive approaches such as calls once or twice a month and visits when necessary. For the activation of the Homeshare, it is required to improve it through the various methods such as regular visits, satisfaction researches and so on. This study resulted from investigating and analyzing the Homeshare operation system between generations will be considered to be a reference to the underlying management.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.3
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• pp.847-852
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• 2010

Text in natural images has a various and important feature of image. Therefore, to detect text and extraction of text, recognizing it is a studied as an important research area. Lately, many applications of various fields is being developed based on mobile phone camera technology. Detecting edge component form gray-scale image and detect an boundary of text regions by local standard deviation and get an connected components using Euclidean distance of RGB color space. Labeling the detected edges and connected component and get bounding boxes each regions. Candidate of text achieved with heuristic rule of text. Detected candidate text regions was merged for generation for one candidate text region, then text region detected with verifying candidate text region using ectilarity characterization of adjacency and ectilarity between candidate text regions. Experctental results, We improved text region detection rate using completentary of edge and color connected component.

• Journal of Veterinary Clinics
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• v.30 no.2
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• pp.131-133
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• 2013

A 9-year-old, intact female Jindo dog weighing 23 kg was presented to the Veterinary Medical Teaching Hospital of Chungnam National University with a history of two months of ocular discharge. Initial ocular examination showed a 2 cm elongated mass arising from the ventral bulbar conjunctiva of the left eye. Ocular ultrasound, performed to rule out any orbital and intraocular involvement, was negative. Thoracic radiographs and abdominal ultrasonography revealed no abnormalities. Fine needle aspiration (FNA) of mass was performed. Aspiration cytology showed the presence of a round cell population mostly characterized. A moderate amount of eosinophils was present among round cells. The mass was excised and identified hitologically as a mast cell tumor. Six months after surgical treatment, thoracic radiographs and abdominal ultrasonography did not reveal any clinical signs of local recurrence or metastatic disease.

• Journal of KIISE:Software and Applications
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• v.27 no.8
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• pp.834-845
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• 2000

Most agents are associated with plan rules for their tasks when they are created. In a multi-agent system in which many agents are interacting, the direct use of predefined plan rules of each agents may slow down the system due to the lack of recognition of the relationship among plan rules of the agents. In order to overcome this, we need to analyze and integrate the agent's plan rules to facilitate concurrent rule execution. This paper proposes a method that integrates and executes local plan rules of task agents in a multi-agent environment. The results of the integration are represented in a network structure. For domain task execution, a task agent collects other task agents' plan rules and builds an integrated domain network, which is exploited to achieve the goal. The agent problem solving by using the domain network enables not only the concurrent plan execution but the solution of coordination problems.

• Coupled systems mechanics
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• v.8 no.1
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• pp.71-93
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• 2019

Finite element simulations of solid mechanics problems often involve the use of Non-Confirming Meshes (NCM) to increase accuracy in capturing nonlinear behavior, including damage and plasticity, in part of a solid domain without an undue increase in computational costs. In the presence of material nonlinearity and plasticity, higher-order variables are often needed to capture nonlinear behavior and material history on non-conforming interfaces. The most popular formulations for coupling non-conforming meshes are dual methods that involve the interpolation of a traction field on the interface. These methods are subject to the Ladyzhenskaya-Babuska-Brezzi (LBB) stability condition, and are therefore limited in their implementation with the higher-order elements needed to capture nonlinear material behavior. Alternatively, the enriched discontinuous Galerkin approach (EDGA) (Haikal and Hjelmstad 2010) is a primal method that provides higher order kinematic fields on the interface, and in which interface tractions are computed from local finite element estimates, therefore facilitating its implementation with nonlinear material models. The inclusion of higher-order interface variables, however, presents the issue of preserving material history at integration points when a increase in integration order is needed. In this study, the enriched discontinuous Galerkin approach (EDGA) is extended to the case of small-deformation plasticity. An interface-driven Gauss-Kronrod integration rule is proposed to enable adaptive enrichment on the interface while preserving history-dependent material data at existing integration points. The method is implemented using classical J2 plasticity theory as well as the pressure-dependent Drucker-Prager material model. We show that an efficient treatment of interface variables can improve algorithmic performance and provide a consistent approach for coupling non-conforming meshes in inelasticity.

• Journal of the Korean Society for Library and Information Science
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• v.56 no.3
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• pp.93-117
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• 2022

This study attempted to analyze the contents of the public library steering committee-related ordinances, derive problems and implications, and based on this, suggest the contents and supplementations necessary for the construction of the library steering committee ordinance. To this end, first, we looked at the theoretical background such as the significance and role of the public library steering committee, and the nature of the ordinance. Second, it was analyzed by dividing it into five areas: the status of enactment of ordinances related to library steering committee, whether provisions related to library steering committee are included, composition content, composition method, function, conference and regulation enactment, and allowance payment. Based on this analysis, it was mentioned that it is necessary to establish a department in charge of ordinances, a library steering committee, guarantee the participation of library directors and library experts, hold regular meetings, disclose minutes, and reflect the results of committee deliberation. In addition, when enacting a standard ordinance items containing the name, nature and role, composition, meeting, sub-organization, rule of the library steering committee.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.2A
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• pp.233-242
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• 2008

This study presents a non-prismatic beam element for modeling the elastic and inelastic behavior of steel beams, which have the post-Northridge(cover plate) connections in steel moment frames that are subjected to earthquake ground motions. The elastic stiffness matrix for non-prismatric members with increased beam section (IBS) connection is in the closed-form. The plasticity model is of a discrete type and is composed of a series of nonlinear hinges connected by rigid links. The hardening rules can model the inelastic behavior for monotonic and random cyclic loading, and the effects of local buckling. Moreover the determination of yield surfaces, stiffness parameters, and hardening (or softening) rule parameters for IBS beam element were described. Analytical results of the IBS beam element show good correlation with test data and FEM results.

• International Journal of Computer Science & Network Security
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• v.24 no.1
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• pp.163-177
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• 2024

The fingerprint image quality relies on the clearness of separated ridges by valleys and the uniformity of the separation. The condition of skin still dominate the overall quality of the fingerprint. However, the identification performance of such system is very sensitive to the quality of the captured fingerprint image. Fingerprint image quality analysis and enhancement are useful in improving the performance of fingerprint identification systems. A fuzzy technique is introduced in this paper for both fingerprint image quality analysis and enhancement. First, the quality analysis is performed by extracting four features from a fingerprint image which are the local clarity score (LCS), global clarity score (GCS), ridge_valley thickness ratio (RVTR), and the Global Contrast Factor (GCF). A fuzzy logic technique that uses Mamdani fuzzy rule model is designed. The fuzzy inference system is able to analyse and determinate the fingerprint image type (oily, dry or neutral) based on the extracted feature values and the fuzzy inference rules. The percentages of the test fuzzy inference system for each type is as follow: For dry fingerprint the percentage is 81.33, for oily the percentage is 54.75, and for neutral the percentage is 68.48. Secondly, a fuzzy morphology is applied to enhance the dry and oily fingerprint images. The fuzzy morphology method improves the quality of a fingerprint image, thus improving the performance of the fingerprint identification system significantly. All experimental work which was done for both quality analysis and image enhancement was done using the DB_ITS_2009 database which is a private database collected by the department of electrical engineering, institute of technology Sepuluh Nopember Surabaya, Indonesia. The performance evaluation was done using the Feature Similarity index (FSIM). Where the FSIM is an image quality assessment (IQA) metric, which uses computational models to measure the image quality consistently with subjective evaluations. The new proposed system outperformed the classical system by 900% for the dry fingerprint images and 14% for the oily fingerprint images.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.9 no.5
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• pp.38-48
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• 2010

Adverse weather (e.g. strong winds, snow and ice) will probably appear as a more serious and frequent threat to road traffic than in clear climate. Another consequence of climate change with a natural disastrous on road traffic is respond to traffic accident more the large and high-rise bridge zone, tunnel zone, inclined plane zone and de-icing zone than any other zone, which in turn calls for continuous adaption of monitoring procedures. Accident mitigating measures against this accident category may consist of intense winter maintenance, the use of road weather information systems for data collection and early warnings, road surveillance and traffic control. While hazard from reduced road friction due to snow and ice may be eliminated by snow removal and de-icing measures, the effect of strong winds on road traffic are not easily avoided. The purpose of the study described here, was to design of amber information the relationship between traffic safety, weather, user information on road weather and driving conditions in local-scale Geographic. The most applications are the optimization of the amber information definition, improvements to road surveillance, road weather monitoring and improved accuracy of user information delivery. Also, statistics on wind gust, surface condition, vehicle category and other relevant parameters for wind induced accidents provide basis for traffic control, early warning policies and driver education for improved road safety at bad weather-exposed locations.