• Proceedings of the Korea Information Processing Society Conference
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• 2004.05a
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• pp.1489-1492
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• 2004

본 논문은 디지털 방송을 수신하고 TV 를 통한 인터넷의 연결이 가능한 IP STB(Set Top Box)가 디지털 방송을 통해 전송되는 프로그램의 서비스 정보(Service Information)을 자동으로 분석하여, 시청자의 휴대 정보 단말 기기로 전송해 줌으로써, 시청자는 개인 휴대 정보 단말 기기를 통해 여러 매체을 통해 전송되는 프로그램의 시간표와 가이드를 볼 수 있으며, 해당 프로그램으로의 채널 변경을 휴대 정보 단말 기기를 통해 수행할 수 있다. 또한 본 논문은 시청자 개개인의 방송 시청 성향을 STB에서 분석하여, 개별 사용자가 전자 프로그램 가이드를 보기 위해 휴대 정보 단말 기기를 통해 STB에 연결되었을 때, 시청자의 성향분석에 기반을 한 추천 프로그램 목록을 제시함으로써, 다채널 다매체의 방송 환경에서 시청자가 원하는 프로그램을 놓치지 않고 시청 할 수 있도록 하며, 집 밖에서도 집안의 STB에 접속하여 자신이 원하는 프로그램을 휴대 정보 단말기기를 통해 예약 시청 또는 녹화가 가능하게 한다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.39C no.5
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• pp.447-455
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• 2014

In this paper, we consider a representative integral imaging method in glasses-free 3D image processing and propose a prioritized transmission scheme for guaranteeing a received video quality in error-prone environments. According to the correlation of pixels consisting of each voxel of integral image, we set the priority differently and apply the modulation level according to this priority value. That is to say, the corresponding pixels with small variance are set to a high priority and transmitted by using a low level modulation that is robust under transmission errors, but the corresponding pixels with greater variance are set to a lower priority and transmitted by using a high level modulation that has a high bit error rate but fast transmission rate. Result shows that the proposed scheme that applies the error-robust modulation level to the important image bit stream with the high priority improves the peak to sidelobe ratio (PSR) of the received 3D image, compared with a typical method that use the same modulation level without distinction of priorities.

• The Journal of the Korea institute of electronic communication sciences
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• v.10 no.1
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• pp.65-72
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• 2015

AMI / HDB-3 method used a scrambling technique is used primarily for long distance data transmission line encoding. In this paper, information communication code standard (KS X 1001; 2014 confirmation), as defined in Hangul Character Code HDLC Flag bit or character stuffing at the data link layer and physical layer with respect to the code set for Hangul AMI / HDB-3 the code set for the new system to increase the data transmission efficiency Hangul consonant and vowel tables presented in terms of scrambling. The result of the existing system and the code set ($4{\times}4$) bit source coding rules for comparing the frequency of use Hangul consonant and vowel tables and statistics showed that about 22.01% of the data processing efficiency is improved.

• Journal of Digital Contents Society
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• v.19 no.7
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• pp.1289-1296
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• 2018

The e-Navigation promoted by the International Maritime Organization is a technology that provides marine-related information necessary for ship and shore side by electronic means for marine safety, security and protecting marine environment. The IHO S-100 standard is a geospatial standard that can express various hydrographic information. Various specifications including S-101 for electronic charts are being developed. In this paper, to help developers who are interested in implementing the technology of S-100, we not only analyze the process to portray the S-100 based data but also implement a case study on S-129 under keel clearance management. The portrayal process consists of data encoding and portrayal engine. Data encoding includes generation of application schema and data set. Portrayal engine is performed by the reform of the generated data set, the XSLT processing, and then the generation of drawing instructions.

• Journal of Digital Contents Society
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• v.19 no.8
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• pp.1593-1601
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• 2018

The International Hydrographic Organization has developed the S-100 standard as a geospatial standard to express various types of hydrographic information. Product specification describes information of data on ENC such as definition, structure, data model, etc. S-129 PS is for under keel clearance management information. In this paper, to help developers to implement S-129 PS using the technology of S-100, we analyze the process to portray the S-100 based data and then implement a case study. This paper introduces the XSLT processing of portrayal engine to reform the generated data set, and the generation of drawing instructions to display the data set on the electronic chart. A case study is experimented to display the portrayal output of under keel clearance management on an electronic chart.

• Smart Structures and Systems
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• v.8 no.1
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• pp.39-52
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• 2011

We are developing a biomimetic robot based on the Sea Lamprey. The robot consists of a cylindrical electronics bay propelled by an undulatory body axis. Shape memory alloy (SMA) actuators generate propagating flexion waves in five undulatory segments of a polyurethane strip. The behavior of the robot is controlled by an electronic nervous system (ENS) composed of networks of discrete-time map-based neurons and synapses that execute on a digital signal processing chip. Motor neuron action potentials gate power transistors that apply current to the SMA actuators. The ENS consists of a set of segmental central pattern generators (CPGs), modulated by layered command and coordinating neuron networks, that integrate input from exteroceptive sensors including a compass, accelerometers, inclinometers and a short baseline sonar array (SBA). The CPGs instantiate the 3-element hemi-segmental network model established from physiological studies. Anterior and posterior propagating pathways between CPGs mediate intersegmental coordination to generate flexion waves for forward and backward swimming. The command network mediates layered exteroceptive reflexes for homing, primary orientation, and impediment compensation. The SBA allows homing on a sonar beacon by indicating deviations in azimuth and inclination. Inclinometers actuate a bending segment between the hull and undulator to allow climb and dive. Accelerometers can distinguish collisions from impediment to allow compensatory reflexes. Modulatory commands mediate speed control and turning. A SBA communications interface is being developed to allow supervised reactive autonomy.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.7 no.1
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• pp.68-80
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• 2013

Lung cancer is considered to be the leading cause of cancer death worldwide. A technique commonly used consists of analyzing sputum images for detecting lung cancer cells. However, the analysis of sputum is time consuming and requires highly trained personnel to avoid errors. The manual screening of sputum samples has to be improved by using image processing techniques. In this paper we present a Computer Aided Diagnosis (CAD) system for early detection and diagnosis of lung cancer based on the analysis of the sputum color image with the aim to attain a high accuracy rate and to reduce the time consumed to analyze such sputum samples. In order to form general diagnostic rules, we present a framework for segmentation and extraction of sputum cells in sputum images using respectively, a Bayesian classification method followed by region detection and feature extraction techniques to determine the shape of the nuclei inside the sputum cells. The final results will be used for a (CAD) system for early detection of lung cancer. We analyzed the performance of a Bayesian classification with respect to the color space representation and quantification. Our methods were validated via a series of experimentation conducted with a data set of 100 images. Our evaluation criteria were based on sensitivity, specificity and accuracy.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.04a
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• pp.447-450
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• 2011

This paper shows the application of P-N Learning [4] method in the soccer ball detection and improvement for increasing the speed of processing. In the P-N learning, the learning process is guided by positive (P) and negative (N) constraints which restrict the labeling of the unlabeled data, identify examples that have been classified in contradiction with structural constraints and augment the training set with the corrected samples in an iterative process. But for the long-view in the soccer game, P-N learning will produce so many ferns that more time is spent than other methods. We propose that color histogram of each frame is constructed to delete the unnecessary details in order to decreasing the number of feature points. We use the mask to eliminate the gallery region and Line Hough Transform to remove the line and adjust the P-N learning's parameters to optimize accurate and speed.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.11 no.4
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• pp.319-324
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• 2018

In this paper, we designed and implemented a code conversion method between ISO/IEC 10646 and the multi-byte code set. The Universal Multiple-Octet Coded Character Set(UCS) provides codes for more than 65,000 characters, huge increase over ASCII's code capacity of 128 characters. It is applicable to the representation, transmission, interchange, processing, storage, input and presentation of the written form of the language throughout the world. Therefore, it is so important to guide on code conversion methods to their customers during customer systems are migrated to the environment which the UCS code system is used and/or the current code systems, i.e., ASCII PC code and EBCDIC host code, are used with the UCS together. Code conversion utility including the mapping table between the UCS and IBM new host code is shown for the purpose of the explanation of code conversion algorithm and its implementation in the system. The programs are successfully executed in the real system environments and so can be delivered to the customer during its migration stage from the UCS to the current IBM code system and vice versa.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.5
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• pp.2156-2170
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• 2020

This paper presents a fire detection algorithm with a minimal false detection rate, intended for a thermal imaging surveillance environment, whose properties vary depending on temporal conditions of day or night and environmental changes. This algorithm was designed to minimize the false detection alarm rate while ensuring a high detection rate, as required in fire detection applications. It was necessary to reduce false fire detections due to non-flame elements occurring when existing fixed threshold-based fire detection methods were applied. To this end, adaptive flame thresholds that varied depending on the characteristics of input images, as well as the center of gravity of the heat-source and hot-source regions, were analyzed in an attempt to minimize such non-flame elements in the phase of selecting flame candidate blocks. Also, to remove any false detection elements caused by camera shaking, one of the most frequently raised issues at outdoor sites, preliminary decision thresholds were adaptively set to the motion pixel ratio of input images to maximize the accuracy of the preliminary decision. Finally, in addition to the preliminary decision results, the texture correlation and intensity of the flame candidate blocks were averaged for a specific period of time and tested for their conformity with the fire decision conditions before making the final decision. To verify the fire detection performance of the proposed algorithm, a total of ten test videos were subjected to computer simulation. As a result, the fire detection accuracy of the proposed algorithm was determined to be 94.24%, with minimum false detection, demonstrating its improved performance and practicality compared to previous fixed threshold-based algorithms.