• Journal of Korea Spatial Information System Society
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• v.9 no.2
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• pp.93-107
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• 2007

In this paper, an adaptive range aggregation spatial index method is proposed for spatial range query in ubiquitous sensor networks. As the ubiquitous sensor networks are the new information-oriented paradigm, many energy efficient spatial range query methods in ubiquitous sensor networks environment are studied vigorously. In sensor networks, users can monitor environment scalar data such as temperature and humidity during user defined time and spatial ranges. In order to execute spatial range query efficiently, rectangle based index methods are proposed, such as SPIX. But they define the return path as the opposite of its query transmit path. However, the sensor nodes in queried ranges are closed to each other, they can't aggregate the sensed value in a queried range because their query transmission paths are different. As a result, the previous methods waste energy unnecessarily to aggregate sensing data out of the queried range. In this paper, an adaptive aggregation index method is proposed that can aggregate values in a user defined range adaptively by using its neighbor information. It is shown that sensor power is saved efficiently by using the proposed method over the performance evaluation.

• The Journal of the Acoustical Society of Korea
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• v.35 no.5
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• pp.331-339
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• 2016

This paper suggests an estimation method of the source signal and the channel impulse response (CIR) using ray-based blind deconvolution (RBD) in the underwater acoustic channel environment where Doppler effect exists by the relative motion between source and receiver. It is difficult to estimate the CIR on Doppler effect by the matched filter with a highly Doppler-sensitive waveform such as the m-sequence signal because Doppler shift can severely degrade the correlation between the received signal corrupted by Doppler effect and the original source signal. In this study, the Doppler-shifted source-signal's phase is estimated using the RBD, and the received signal is compensated by it to obtain the Doppler-corrected CIR. It is verified that using the matched filter with the received signal from the experimental data fails to estimate the CIR while the obtained CIR by the suggested method has the similarity to the propagation path of the ray model. Also, the results show that the reconstructed source signal using the RBD has the better Doppler shift compensation than the Doppler-shifted source signal derived from scattering function.

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.8
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• pp.187-195
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• 2013

Most of former studies for car license plate detection restrict the image acquisition environment. The aim of this research is to diminish the restrictions by proposing a new method of using SIFT and neural network. SIFT can be used in diverse situations with less restriction because it provides size- and rotation-invariance and large discriminating power. SIFT extracted from the license plate image is divided into the internal(inside class) and the external(outside class) ones and the classifier is trained using them. In the proposed method, by just putting the various types of license plates, the trained neural network classifier can process all of the types. Although the classification performance is not high, the inside class appears densely over the plate region and sparsely over the non-plate regions. These characteristics create a local feature map, from which we can identify the location with the global maximum value as a candidate of license plate region. We collected image database with much less restriction than the conventional researches. The experiment and evaluation were done using this database. In terms of classification accuracy of SIFT keypoints, the correct recognition rate was 97.1%. The precision rate was 62.0% and recall rate was 50.2%. In terms of license plate detection rate, the correct recognition rate was 98.6%.

• Journal of IKEEE
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• v.24 no.2
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• pp.529-535
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• 2020

As the main technology of the 4th industrial revolution, immersive 360-degree video contents are drawing attention. The market size of immersive 360-degree video contents worldwide is projected to increase from $6.7 billion in 2018 to approximately $70 billion in 2020. However, most of the immersive 360-degree video contents are distributed through illegal distribution networks such as Webhard and Torrent, and the damage caused by illegal reproduction is increasing. Existing 2D video industry uses copyright filtering technology to prevent such illegal distribution. The technical difficulties dealing with immersive 360-degree videos arise in that they require ultra-high quality pictures and have the characteristics containing images captured by two or more cameras merged in one image, which results in the creation of distortion regions. There are also technical limitations such as an increase in the amount of feature point data due to the ultra-high definition and the processing speed requirement. These consideration makes it difficult to use the same 2D filtering technology for 360-degree videos. To solve this problem, this paper suggests a feature point extraction and identification technique that select object identification areas excluding regions with severe distortion, recognize objects using deep learning technology in the identification areas, extract feature points using the identified object information. Compared with the previously proposed method of extracting feature points using stitching area for immersive contents, the proposed technique shows excellent performance gain.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.2
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• pp.149-155
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• 2020

The Korea Highway Traffic Authority provides statistics that analyze the causes of traffic accidents that occurred since 2015 using the Traffic Accident Analysis System (TAAS). it was reported Through TAAS that the driver's forward carelessness was the main cause of traffic accidents in 2018. As statistics on the cause of traffic accidents, 51.2 percent used mobile phones and watched DMB while driving, 14 percent did not secure safe distance, and 3.6 percent violated their duty to protect pedestrians, representing a total of 68.8 percent. In this paper, we propose a system that has improved the advanced driver assistance system ADAS (Advanced Driver Assistance Systems) by utilizing CNN (Convolutional Neural Network) among the algorithms of Deep Learning. The proposed system learns a model that classifies the movement of the driver's face and eyes using Conv2D techniques which are mainly used for Image processing, while recognizing and detecting objects around the vehicle with cameras attached to the front of the vehicle to recognize the driving environment. Then, using the learned visual steering model and driving environment data, the hazard is classified and detected in three stages, depending on the driver's view and driving environment to assist the driver with the forward and blind spots.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2003.04a
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• pp.261-267
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• 2003

사회의 빠른 변화 속에서 지자체가 처리해야 할 정보의 양과 행정수요는 점점 증가하고 있으며, 의사결정과 기획을 위한 정보망과 정보시스템의 활용 계획을 수립하여야 하는 필요성은 더욱 증대되고 있다. 도시정보체계(UIS)의 구축은 의사결정의 효율적인 도구로 각광받아 대다수 지자체에서 활발히 진행되고 있다. 그러나 지자체 행정업무의 70～80%가 공간정보와 연계되어 있다는 막연한 기대감에서 출발한 현재의 도시정보체계(UIS) 구축사업은 단지공간정보 관리 중심의 시스템 개발에 치우치게 되었으며, 시설물 관리 분야에 대한 사업을 이미 수행한 지자체에서는 향후 어떠한 사업들을 전개해야 할 지에 대한 보다 다양하고 구체적인 비전을 가지지 못하고 있는 것이 우리의 현실이 아닌가라는 우려를 하게 되었다. 따라서 본 연구에서는 도시정보체계(UIS)의 새로운 비전 수립을 위해서는 막연하게 제시되고 있는 공간정보 관련성 분석을 보다 세분화하여 수행할 수 있는 공간정보 관련성 분석 모형을 제시함으로써 지자체 도시정보체계(UIS) 구축사업의 현재를 돌아보고 보다 발전적인 새로운 사업추진의 시각을 고찰해보고자 한다. 본 연구에서는 지자체 업무영역에 대한 보다 세분화된 공간정보의 관련성 분석을 위해 공간정보를 업무관점, 업무-정보산출물 관점, 데이터구축관점, 정보관점, 서비스관점으로 세분화여 하여 접근하였으며, 이를 종합하여 최종적인 공간정보 관련성 분석 모형을 구성하였다. 또한 지속적인 도시정보체계(UIS) 사업의 추진을 위해 시간적 개념의 변화 양상을 제시함으로써 GIS의 발달단계에 따라 어떠한 부분에 비중을 둔 사업의 추진이 이루어져야 하는지에 대해서 제시하고자 하였다. 본 연구를 통해 시설물 관리 중심의 도시기반정보화에 편중된 도시정보체계의 구축사업의 시각이 행정정보화, 생활정보화, 산업정보화 등 다양한 분야와 결합하여 보다 큰 시너지 효과와 사용자 중심의 서비스 개선을 창출할 수 있는 기반을 제공할 것을 기대해 본다.. 이상의 결과를 종합해볼 때, ${\beta}$-glucan은 고용량일 때 직접적으로 또는 $IFN-{\gamma}$ 존재시에는 저용량에서도 복강 큰 포식세로를 활성화시킬 뿐 아니라, 탐식효율도 높임으로써 면역기능을 증진 시키는 것으로 나타났고, 그 효과는 crude ${\beta}$-glucan의 추출조건에 따라 달라지는 것을 알 수 있었다.eveloped. Design concepts and control methods of a new crane will be introduced in this paper.and momentum balance was applied to the fluid field of bundle. while the movement of′ individual material was taken into account. The constitutive model relating the surface force and the deformation of bundle was introduced by considering a representative prodedure that stands for the bundle movement. Then a fundamental equations system could be simplified considering a steady state of the process. On the basis of the simplified model, the simulation was performed and the results could be confirmed by the experiments under various conditions.뢰, 결속 등 다차원의 개념에 대한 심도 깊은 연구와 최근 제기되고 있는 이론의 확대도 필요하다. 마지막으로 신뢰와 결속에 영향을 미치는 요소간의 개념적 분류, 차이의 검증, 영향력 등

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2003.04a
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• pp.510-516
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• 2003

연안관리 정책을 결정하기 위해서는 다양한 정보의 수집과 이를 체계적으로 관리하고 분석할 수 있는 기법이 필요하다. 특히, 다양한 이해집단과 목적들이 상충하는 지역의 특성을 파악하기 위해서는 환경, 사회, 경제적인 기준 및 의사결정자의 가치체계가 반영될 수 있어야 하며, 선호도가 반영된 요소를 효율적으로 분석할 수 있어야 한다. 이에, 본 연구에서는 공간자료의 처리 및 분석이 용이한 GIS 환경에 다기준 분석법, 그 중에서도 AHP 모형을 결합하는 방법을 다루어 보았다. 분석과정을 살펴보면, 본 연구에서는 지역에 영향을 미치는 사회ㆍ경제적인 지표, 환경 지표를 정하였고, 이런 지표들의 데이터를 GIS라는 도구를 통하여 분석이 용이하도록 변환시켰다. 한편, 이 지역에 영향을 미치는 각 기준들의 중요성을 파악하여 의사결정자의 의견을 반영할 수 있도록 다기준 분석법의 하나인 AHP를 이용하여 가중치를 산정하였다. 다음으로, 다양한 출처의 자료를 표준화하여 GIS의 래스터 자료로 구축한 후, 가중치를 적용한 개별 레이어를 지도대수와 중첩분석을 이용하여 최종 결과 레이어를 생성하였다. 생성된 최종 결과 레이어 상의 공간의 대안인 각 셀 값을 비교ㆍ분석하였다. 이로 인한 결과는 연안의 유한한 자원과 공간의 다양한 이용상태를 관리하기 위한 해안과 육상의 정보를 제공할 수 있다. GIS와 다기준 분석을 통합함으로써 다양한 출처의 공간정보를 분석하고 연안의 현 상태를 밝힐 수 있다. 또한, 이것은 분석 결과가 단순하고 명확하게 설명되어 정책 결정자에게 유용한 정보를 제공할 뿐만 아니라, 이 정보를 이용하여 실질적인 연안관리계획을 수립하는데 도움이 된다.가능성 0.5이상의 면적은 59%를 차지하였다.퇴적이 우세한 것으로 관측되었다.보체계의 구축사업의 시각이 행정정보화, 생활정보화, 산업정보화 등 다양한 분야와 결합하여 보다 큰 시너지 효과와 사용자 중심의 서비스 개선을 창출할 수 있는 기반을 제공할 것을 기대해 본다.. 이상의 결과를 종합해볼 때, ${\beta}$-glucan은 고용량일 때 직접적으로 또는 $IFN-{\gamma}$ 존재시에는 저용량에서도 복강 큰 포식세로를 활성화시킬 뿐 아니라, 탐식효율도 높임으로써 면역기능을 증진 시키는 것으로 나타났고, 그 효과는 crude ${\beta}$-glucan의 추출조건에 따라 달라지는 것을 알 수 있었다.eveloped. Design concepts and control methods of a new crane will be introduced in this paper.and momentum balance was applied to the fluid field of bundle. while the movement of′ individual material was taken into account. The constitutive model relating the surface force and the deformation of bundle was introduced by considering a representative prodedure that stands for the bundle movement. Then a fundamental equations system could be sim

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.46 no.12
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• pp.50-57
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• 2009

This paper proposes a VLSI architecture of CAVLC hardware decoder which is a tool eliminating statistical redundancy in H.264/AVC video compression. The previous CAVLC hardware decoder used four stages to decode five code symbols. The previous CAVLC hardware architectures decreased decoding performance because there was an unnecessary idle cycle in between state transitions. Likewise, the computation of valid bit length includes an unnecessary idle cycle. This paper proposes hardware architecture to eliminate the idle cycle efficiently. Two methods are applied to the architecture. One is a method which eliminates an unnecessary things of buffers storing decoded codes and then makes efficient pipeline architecture. The other one is a shifter control to simplify operations and controls in the process of calculating valid bit length. The experimental result shows that the proposed architecture needs only 89 cycle in average for one macroblock decoding. This architecture improves the performance by about 29% than previous designs. The synthesis result shows that the design achieves the maximum operating frequency at 140Mhz and the hardware cost is about 11.5K under a 0.18um CMOS process. Comparing with the previous design, it can achieve low-power operation because this design is implemented with high throughputs and low gate count.

• Journal of Digital Contents Society
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• v.19 no.8
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• pp.1433-1442
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• 2018

This study develops and improves the EZ Touch App of the scorecard application (app) using the smartphone and the pad, and works with the customer management system (C/S). The research was conducted as follows. First, how do you handle the EZ Touch input method on a scorecard? Second, how to configure the platform of customer (member) management system (C/S) and data server system? Third, does EZ Touch App work organically with customer management system (C/S)? The developed EZ Touch is entered into the scorecard as an input method using the gesture as a result of this research, and it is linked with the C/S system to organize the review function, hall information function, field coaching function through score, It can be used for applications such as information management functions and statistics through differentiated statistics. However, there are some problems and improvements in user convenience in real time use. I think there is a need to study to solve this problem in the future. EZ Touch input method is input to the scorecard by inputting gesture of the finger as a result of this study, and it is linked with this, and it is possible to use differentiated statistics such as review function, hall information function, field coaching function, It is the purpose of the study to improve the technical competitiveness of the product by developing the application.

• Journal of the Korea Society of Computer and Information
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• v.17 no.5
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• pp.1-7
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• 2012

In this paper, we design and implement the simulator for WAN storage replication model performance evaluation in cloud computing environment. Each cloud of simulator is composed of virtual machine emulator and storage emulator. The virtual machine emulator is composed of read/write ratio module, the read/write sequence combination module, and the read/write request module. The storage emulator is composed of storage management module, data transfer module, read/write operations module, and overhead processing module. Using the simulator, we evaluate performance of migration scheme, pre-copy and the post-copy, considering about read/write ratio, network delay, and network bandwidth. Through simulation, we have confirmed that the average migration time of pre-copy was decreased proportional to the read operation. However, average migration time of post-copy was on the increase. Also, the average migration time of post-copy was increased proportional to the network delay. However, average migration time of pre-copy was shown uniformly. Therefore, we show that pre-copy model more effective to reduce the average migration time than the post-copy model. The average migration time of pre-copy and post-copy were not affected by the change of network bandwidth. Therefore, these results show that selects the storage replication model to be, the network bandwidth know not being the important element.