• Journal of Institute of Control, Robotics and Systems
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• v.17 no.3
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• pp.206-210
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• 2011

Vision-based robot localization is challenging due to the vast amount of visual information available, requiring extensive storage and processing time. To deal with these challenges, we propose the use of features extracted from omni-directional panoramic images and present a method for localization of a mobile robot equipped with an omni-directional camera. The core of the proposed scheme may be summarized as follows : First, we utilize an omni-directional camera which can capture instantaneous $360^{\circ}$ panoramic images around a robot. Second, Nodes around the robot are extracted by the correlation coefficients of Circular Horizontal Line between the landmark and the current captured image. Third, the robot position is determined from the locations by the proposed correlation-based landmark image matching. To accelerate computations, we have assigned the node candidates using color information and the correlation values are calculated based on Fast Fourier Transforms. Experiments show that the proposed method is effective in global localization of mobile robots and robust to lighting variations.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.31 no.4
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• pp.517-524
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• 2007

This paper presents a global localization method using circular correlation of an omni-directional image. The localization of a mobile robot, especially in indoor conditions, is a key component in the development of useful service robots. Though stereo vision is widely used for localization, its performance is limited due to computational complexity and its narrow view angle. To compensate for these shortcomings, we utilize a single omni-directional camera which can capture instantaneous $360^{\circ}$ panoramic images around a robot. Nodes around a robot are extracted by the correlation coefficients of CHL (Circular Horizontal Line) between the landmark and the current captured image. After finding possible near nodes, the robot moves to the nearest node based on the correlation values and the positions of these nodes. To accelerate computation, correlation values are calculated based on Fast Fourier Transforms. Experimental results and performance in a real home environment have shown the feasibility of the method.

• Korean Journal of Veterinary Research
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• v.44 no.4
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• pp.625-635
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• 2004

Trichnuris suis does not excrete eggs during larval stage as well as in particular adult stage, It is impossible to diagnose by use of fecal examination method in those periods. Therefore, serological diagnostic method can be very useful for those stages. In order to produce monoclonal antibody, specific somatic and secretory-excretory (SE) antigens of T. suis were identified and analyzed by SDS-PAGE and Western blot. Monoclonal antibody-producing hybridoma cells were cloned, which were made of popliteal lymph node of BALB/c mice immunized with a 45 kDa somatic antigen of T. suis. Five clones (1B9, 2C4, n2C5, 2D7 and 2D8) showing strong responses to T. suis antigens were selected and the isotype identified. All monoclonal antibodies were IgG1 isotype and the light chains were k chain. Established monoclonal antibodies reacted specifically to somatic and SE antigens of T. suis and did not cross-reacted to antigens of ascaris suum, trichuris vulpis, or Trichinella spiralis. The sensitivity of somatic and SE antigens against these monoclonal antibodies were significant (p<0.01) associated with those of positive and negative sera.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.3
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• pp.814-836
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• 2021

Wildlife ecologists and biologists recapture deer to collect tracking data from deer collars or wait for a drop-off of a deer collar construction that is automatically detached and disconnected. The research teams need to manage a base camp with medical trailers, helicopters, and airplanes to capture deer or wait for several months until the deer collar drops off of the deer's neck. We propose an intelligent robust base-station research with a low-cost and time saving method to obtain recording sensor data from their collars to a listener node, and readings are obtained without opening the weatherproof deer collar. We successfully designed the and implemented a robust base station system for automatically collecting data of the collars and listener motes in harsh wilderness environments. Intelligent solutions were also analyzed for improved data collections and pattern predictions with drone-based detection and tracking algorithms.

• Journal of the Korea Society for Simulation
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• v.16 no.2
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• pp.27-35
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• 2007

When sensor networks are deployed in open environments, all the sensor nodes are vulnerable to physical threat. An attacker can physically capture a sensor node and obtain the security information including the keys used for data authentication. An attacker can easily inject false reports into the sensor network through the compromised node. False report can lead to not only false alarms but also the depletion of limited energy resource in battery powered sensor networks. To overcome this threat, Fan Ye et al. proposed that statistical on-route filtering scheme(SEF) can do verify the false report during the forwarding process. In this scheme, the choice of a security threshold value is important since it trades off detection power and energy, where security threshold value is the number of message authentication code for verification of false report. In this paper, we propose a fuzzy rule-based system for security threshold determination that can conserve energy, while it provides sufficient detection power in the SEF based sensor networks. The fuzzy logic determines a security threshold by considering the probability of a node having non-compromised keys, the number of compromised partitions, and the remaining energy of nodes. The fuzzy based threshold value can conserve energy, while it provides sufficient detection power.

• The Journal of the Korea Contents Association
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• v.17 no.6
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• pp.39-54
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• 2017

This study started from the consciousness that the community media practice studies have been confined to the traditional terrestrial broadcasting. The following research results and implications were obtained by analyzing Daedeok-valley Radio's case to elucidate characteristics of online-based community media and content production and distribution characteristics neglected in previous researches. First, online community media activities are civic/citizen media activities that capture the value of local communities, and this locality is realized through media content production and its online distribution. Second, contents of online community media link members of the community, and individuals become nodes, interacting both online and offline. Therefore, online-based citizen media activities can be utilized effectively as a means to enhance civic participation and to achieve the locality of community in online and offline spaces depending on strategies for online contents production and distribution. Utilizing online infrastructures for media content creation and distribution in Korea demonstrates potential opportunities of local online media to be considered as niche media that can increase its own sustainability.

• Journal of the Korean Society of Clothing and Textiles
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• v.33 no.12
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• pp.1853-1861
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• 2009

Body sizing of has been recognized as an important element affecting the degree of customer satisfaction in the apparel industry. Recent developments in IT technologies have enabled more studies in custom-made apparel systems that comply with the diverse demands from customers in many countries. Diverse methods to obtain personal physical size are being studied. This study estimates the accuracy by developing the system in which the data of length and girth can be calculated through changing a modeling by comparing the data with circular 3-dimensional physical configuration data. This information was computed from the process (such as the conversion to a standardize image) which utilizes the image capture of 2-dimensional three sides (front, side, and rear), contour tracing, and key-node selection and by realizing it in the real world.

• Journal of KIISE:Software and Applications
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• v.32 no.8
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• pp.769-780
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• 2005

This paper addresses a novel application of meshes to analyzing the deformation patterns of 2D signals. The proposed mesh is distinguished form the previous models in that it includes simulated charges in each node that interact with external charges comprising an input pattern. Therelaxation of the mesh given an input is carried out by any of the well-known numerical integration techniques. The result of the relaxation is a deformed mesh. This Paper provides four criterion functions for measuring the pattern deformation. A set of trained meshes was created from the simple average of target patterns. Experimental results show that these measures, although highly intuitive, are not good enough to capture the amount and characteristics of pattern deformation. If more sophisticated measures are found and incorporated into the relaxation process, we expect that a better and high-performance mesh framework is realized.

• Journal of the Korea Society of Computer and Information
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• v.25 no.11
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• pp.83-88
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• 2020

This paper proposes a method of applying an advanced preamble detection technology to wireless sensor nodes and analyzes the trade-off relationship between throughput and fairness that may occur when sensor nodes equipped with the MIM function compete with the legacy IEEE 802.15.4 sensors. Sensor nodes employing the MIM capability have more chances of concurrent transmissions than the legacy IEEE 802.15.4-based sensor nodes, resulting in gains in terms of throughput, whereas the transmission opportunities of 802.15.4 sensor nodes might be limited due to the additional simultaneous transmissions of the MIM sensor nodes. The extensive evaluation results performed under a test environment built using Python program with reflecting the setting value of a commercial sensor node shows MIM sensor nodes outperform up to 40% over the legacy 802.11 sensors. Meanwhile, it was confirmed that a balance can be achieved in terms of throughput and fairness by properly adjusting the concurrent transmission threshold.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.12 no.12
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• pp.2323-2329
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• 2008

Advances in wireless communication and hardware technology have made it possible to manufacture high-performance tiny sensor nodes. More recently, the availability of inexpensive cameras modules that are able to capture multimedia data from the environment has fostered the development of Wireless Multimedia Sensor Networks(WMSNs). WMSN supplements the a advanced technique that senses, transmits, and processes the multimedia contents upon the text based traditional wireless sensor network. Since the amount of data which the multimedia contents have, is significantly larger than that of text based data, multimedia contents require lots of computing power and high network bandwidth. To process the multimedia contents on the wireless sensor node which has very limited computing power and energy, a technique for WMSN should take account of computing resource and efficient transmission. In the paper, we propose a new image compression technique YWCE for efficient compression and transmission of image data in WMSN. YWCE introduces 4 type of technique for motion estimation and compensation based on the Resolution Scalability of Wavelet. Experimental result shows that YWCE has high compression performance with different set of 4 type.