• Journal of IKEEE
• /
• v.23 no.3
• /
• pp.858-864
• /
• 2019

A clock system is proposed to eliminate data loss due to frequency difference between sensor nodes in a sensor utility network. The proposed clock system for each sensor node consists of a bust clock-data recovery (CDR) circuit, a digital phase-locked loop outputting a 32-phase clock, and a digital frequency synthesizer using a programmable open-loop fractional divider. A CMOS oscillator using an active inductor is used instead of a burst CDR circuit for the first sensor node. The proposed clock system is designed by using a 65 nm CMOS process with a 1.2 V supply voltage. When the frequency error between the sensor nodes is 1%, the proposed burst CDR has a time jitter of only 4.95 ns with a frequency multiplied by 64 for a data rate of 5 Mbps as the reference clock. Furthermore, the frequency change of the designed digital frequency synthesizer is performed within one period of the output clock in the frequency range of 100 kHz to 320 MHz.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.19 no.3
• /
• pp.645-650
• /
• 2015

Image restoration is required when the image is blurred due to out of focus or motion during the image acquisition. This type of image restoration is known as ill-posed inverse problem because the estimate of an original image should be derived from only one blurred image. This paper introduces a reference image to facilitate the restoration process. The experimental result shows that computation time is significantly reduced, compared with other methods. The proposed method obtains the estimate of the kernel used in blurring processing. New cost function is defined to update both the image and the kernel alternately. In the last stage, Wiener filter produces the estimate of an original image using the kernel and the reference image.

• Proceedings of the Korean Society of Soil and Groundwater Environment Conference
• /
• 2002.09a
• /
• pp.359-361
• /
• 2002

국내에서는 1990년대 이후부터 주유소 및 유류저장시설 부근의 토양 및 지하수오염에 관한 법이 제정되었으며 그와 관련된 복원 및 정화 기술개발에 관한 연구가 진행되고 있다. 그 중 미생물학적 대사를 이용하는 생물학적복원기술(Bioremediation)은 유류로 오염된 지역에서 정화 및 복원방법으로 적용되고 있으며 또한 경제적인 대안으로 제시되고 있다. Bioremediation기법중 하나인 bloventing은 운전 및 처리비용의 감소와 효율의 향상적인 측면에서 여러 연구자들에 의해 수행되고 있다. 기존에는 오염토양에 대한 물리ㆍ화학적 분석과 미생물 활성에 미치는 인자의 측정이 주를 이루었다. 그러나, 최근에는 토양 가스내 $CO_2$ $O_2$의 측정ㆍ분석을 통한 분해율 평가와 탄화수소 분해에 대한 경과 및 복원시간을 예측하고자 하는 연구가 이루어지고 있는 중이다. 본 연구의 목표는 유류오염지역을 복원하기 위한 기술 중 생물학적 복원기술(bioremediation)의 하나인 bioventing 기술의 국내 적용가능성을 알아보고 궁극적으로 국내 실정에 적합한 bioventing공법의 개발을 목표로 한다. 이를 위해 lab-scale bioventing process를 이용하여 생부해를 최대화시키고 오염성분의 휘발을 최소화시키는 bioventing system의 최적운전 mode(연속식, 간헐식)를 개발하기 위해 공기공급량과 생분해량, 그리고 휘발되는 탄화수소양과의 관계를 평가하는 연구를 수행하였다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
• /
• 2008.02a
• /
• pp.55-58
• /
• 2008

디지털 증거분석 단계에서 조사관은 용의자 시스템을 통해 사건 날짜와 시간에 실행된 응용 프로그램이나 악성 프로그램의 설치 여부 등을 유추하여 관련 증거를 발견할 수 있다. 그러나 대부분의 범죄자는 혐의 부인을 위해 대상 시스템에서 특정 프로그램의 설치 및 사용 정보를 삭제하여 증거를 인멸한다. 이와 같이 디지털 포렌식 조사를 방해하는 기술이나 도구와 관련된 분야를 안티포렌식(Anti-Forensics)이라 한다. 사이버 범죄의 증가로 인해 디지털 포렌식 기술이 발전할수록 범죄의 흔적을 남기지 않기 위한 안티포렌식 기술 또한 발전하고 있다. 이러한 안티포렌식에 대응하기 위해, 본 논문에서는 프로그램 사용 또는 설치와 같은 흔적을 시스템에서 삭제한 경우 시스템 복원지점을 이용한 증거탐지 방법을 제시한다. 또한 실제 발생 가능한 상황을 예로 들어 설명하고 수사 시 유용하게 쓰일 수 있는 도구 개발에 대한 계획을 제시한다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2019.10a
• /
• pp.28-30
• /
• 2019

본 논문은 3차원으로 복원된 데이터를 원격지에 있는 홀로렌즈에 실시간으로 전달하기 위해 개발된 중계서버 시스템을 제안한다. 원격지에 있는 홀로렌즈를 위한 실시간 전송 시스템 구축을 위해서는 복원된 3차원 데이터의 압축 스트림을 복호화 해주는 중계서버 시스템이 필요하다. 이와 같은 3차원 데이터의 구조와 원격지에서 데이터를 전달 받는 홀로렌즈 환경을 고려하여 중계서버 시스템을 설계하고 구축 했다.

• Journal of the Institute of Electronics Engineers of Korea SC
• /
• v.43 no.6 s.312
• /
• pp.16-26
• /
• 2006

In this paper, we propose a 3D shape restoration system which measures height and surface shape of transparent ITO glass and delivers errors in focal length and incident angle of laser beam to femto-second laser micromachining. The proposed system is composed of a line scan laser, a high resolution camera, a linear motion guide synchronized to image capturing, and a control station. Also, we define the sensitivity indices that represent a relation between measurement error and a position of a camera and scan laser, and utilize it for optimum design. The results of the proposed system are compared with results of SPM(Scanning Probe Microscope) and prove the usefulness of the system.

• Journal of Intelligence and Information Systems
• /
• v.21 no.2
• /
• pp.131-150
• /
• 2015

Omission of noun phrases for obligatory cases is a common phenomenon in sentences of Korean and Japanese, which is not observed in English. When an argument of a predicate can be filled with a noun phrase co-referential with the title, the argument is more easily omitted in Encyclopedia texts. The omitted noun phrase is called a zero anaphor or zero pronoun. Encyclopedias like Wikipedia are major source for information extraction by intelligent application systems such as information retrieval and question answering systems. However, omission of noun phrases makes the quality of information extraction poor. This paper deals with the problem of developing a system that can restore omitted noun phrases in encyclopedia documents. The problem that our system deals with is almost similar to zero anaphora resolution which is one of the important problems in natural language processing. A noun phrase existing in the text that can be used for restoration is called an antecedent. An antecedent must be co-referential with the zero anaphor. While the candidates for the antecedent are only noun phrases in the same text in case of zero anaphora resolution, the title is also a candidate in our problem. In our system, the first stage is in charge of detecting the zero anaphor. In the second stage, antecedent search is carried out by considering the candidates. If antecedent search fails, an attempt made, in the third stage, to use the title as the antecedent. The main characteristic of our system is to make use of a structural SVM for finding the antecedent. The noun phrases in the text that appear before the position of zero anaphor comprise the search space. The main technique used in the methods proposed in previous research works is to perform binary classification for all the noun phrases in the search space. The noun phrase classified to be an antecedent with highest confidence is selected as the antecedent. However, we propose in this paper that antecedent search is viewed as the problem of assigning the antecedent indicator labels to a sequence of noun phrases. In other words, sequence labeling is employed in antecedent search in the text. We are the first to suggest this idea. To perform sequence labeling, we suggest to use a structural SVM which receives a sequence of noun phrases as input and returns the sequence of labels as output. An output label takes one of two values: one indicating that the corresponding noun phrase is the antecedent and the other indicating that it is not. The structural SVM we used is based on the modified Pegasos algorithm which exploits a subgradient descent methodology used for optimization problems. To train and test our system we selected a set of Wikipedia texts and constructed the annotated corpus in which gold-standard answers are provided such as zero anaphors and their possible antecedents. Training examples are prepared using the annotated corpus and used to train the SVMs and test the system. For zero anaphor detection, sentences are parsed by a syntactic analyzer and subject or object cases omitted are identified. Thus performance of our system is dependent on that of the syntactic analyzer, which is a limitation of our system. When an antecedent is not found in the text, our system tries to use the title to restore the zero anaphor. This is based on binary classification using the regular SVM. The experiment showed that our system's performance is F1 = 68.58%. This means that state-of-the-art system can be developed with our technique. It is expected that future work that enables the system to utilize semantic information can lead to a significant performance improvement.

• Journal of Environmental Impact Assessment
• /
• v.26 no.6
• /
• pp.508-523
• /
• 2017

This study monitored the changes before and after restoration of ecological stream focusing on the places which are applied Sustainable Structured wetland Biotop (SSB) system and ecological Fish-way for restoration of Maeno stream. A total of 11 species and 191 individuals of fishes were founded out which were not verified inhabitation before restoration at SSB wetlands. Especially, it was could identified that micro habitat and healthy Fish-way was created because the restored target species, Microphysogobio yaluensis and Iksookimia koreensis were identified that habitation was monitored in SSB wetland. Amphibian have been restored to a number of Rana nigromaculata found in and around wetlands at the time of the third survey, which is highly active after restoration. Specified endangered species class 1 and natural monuments designated by the Ministry of Environment, Lutra lutra lutra, as a Mammalian, uses the wetlands and ecological Fish-way as habitat areas, and the his habitat is restored. In the case of Flora, vascular plants emerging in the survey area were increased to 7 and 13 species before restoration and 15 and 19 species directly after restoration, and 22 species and 33 species after restoration. Vegetation after restoration was found to be a basic producer of various ecosystems and a plant community that contributes to the purification of water quality such as Phragmites japonica communities. As the result of water quality monitoring, the average of treatment efficiencies were BOD 64.3%, T-N 47.2%, T-P 80.7%. Successful treatment of the nonpoint pullution source, which is a limiting factor to disturb the ecosystem, creatively restored the target species in the water quality class I, II.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.19 no.8
• /
• pp.329-335
• /
• 2018

Satellite images, which are widely used in various applications, are very useful for monitoring the surface of the earth. Since satellite data is obtained from a remote sensor, it contains a lot of noise and errors depending on observation weather conditions during data acquisition and sensor malfunction status. Since the accuracy of the data affects the accuracy and reliability of the data analysis results, noise removal and data restoration for high quality data is important. In this study, we propose a reconstruction system that models the time dependent dynamic characteristics of satellite data using a multi-period harmonic model and performs adaptive data restoration considering the spatial correlation of data. The proposed method is a real-time restoration method and thus can be employed as a preprocessing algorithm for real-time reconstruction of satellite data. The proposed method was evaluated with both simulated data and MODIS NDVI data for six years from 2011 to 2016. Experimental results show that the proposed method has the potentiality for reconstructing high quality satellite data.

• Proceedings of the Korean Society of Broadcast Engineers Conference
• /
• 2019.11a
• /
• pp.175-176
• /
• 2019

보안 시스템의 중요성이 늘어남에 따라 열악한 CCTV 영상 환경에서의 범죄 예방 및 검거의 중요성이 늘어나고 있다. 본 논문은 CCTV의 제약 환경에 맞는 데이터 취득, 근적외선 및 가시영역 혼합 영상의 분리 및 복원 방법을 제안한다. 데이터 취득 및 학습시킨 데이터의 성능은 PSNR 방법을 이용해 비교하였고, 저조도 영역의 근적외선과 가시영역의 분리 성능은 34dB 이상이 나왔다. 색 복원은 PSNR 측면에서는 22.5dB가 나왔고, 저조도 영역의 분리 성능과 비교하여 낮은 성능을 기록하다. 색복원의 평가 정도는 원본 영상과 주관적 평가방법을 사용하여 비교하였다.