• 한국디지털건축인테리어학회논문집
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• 제11권4호
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• pp.21-27
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• 2011

These materials in architecturally glass or metal have weaknesses such as inadequate insulating quality, combustibility and toxic gases in fires substance. However, Autoclaved Lightweight Concrete(ALC) has excellent thermal insulation properties and seem to possess the superb insulating quality as substitute of existing exterior materials. This research is to compare experimentally to the kind of the strength properties of ALC materials which mixed with blast furnace slag pounder and silica fume. For the purpose of increasing the strength, the plastic states of ALC evaluate the physical characteristics as microstructure and strength according to various specific gravity. According to the quicklime quantity the compressive strength is proportionate depend on the absolute dried specific gravity. When not putting in 10% quicklime, the compressive strength appeared most lowly with 14.0MPa. When putting in the quicklime, the strength appeared higher with 15.1MPa. And strength of specimen containing 2.25% silica fume is 15.6MPa increased 10.3% than reference specimen 14.0MPa.

• Journal of electromagnetic engineering and science
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• 제17권1호
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• pp.39-43
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• 2017

In this paper, a systematic and statistical calibration technique was implemented to calibrate a high-speed signal converting system containing multiple digital-to-analog converters (DACs). The systematic error (especially the imbalance between DACs) in the current combining network of the multi-DAC system was modeled and corrected by calculating the path coefficients for individual DACs with wideband reference signals. Furthermore, by applying a Kalman filter to suppress noise from quantization and clock jitter, accurate coefficients with minimum noise were identified. For correcting an arbitrary waveform generator with two DACs, a co-simulation platform was implemented to estimate the system degradation and its corrected performance. Simulation results showed that after correction with 4.8 Gbps QAM signal, the signal-to-noise-ratio improved by approximately 4.5 dB and the error-vector-magnitude improved from 4.1% to 1.12% over 0.96 GHz bandwidth.

• 제어로봇시스템학회논문지
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• 제17권1호
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• pp.47-53
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• 2011

To enable the efficient operation of ITS, it is necessary to collect location data for vehicles on the road. In the case of futuristic transportation systems like ubiquitous transportation and smart highway, a method of data collection that is advanced enough to incorporate road lane recognition is required. To meet this requirement, technology based on radio frequency identification (RFID) has been researched. However, RFID may fail to yield accurate location information during high-speed driving because of the time required for communication between the tag and the reader. Moreover, installing tags across all roads necessarily incurs an enormous cost. One cost-saving alternative currently being researched is to utilize GNSS (global navigation satellite system) carrierbased location information where available. For lane recognition using GNSS, a precise digital map for determining vehicle position by lane is needed in addition to the carrier-based GNSS location data. A "precise digital map" is a map containing the location information of each road lane to enable lane recognition. At present, precise digital maps are being created for lane recognition experiments by measuring the lanes in the test area. However, such work is being carried out through comparison with vehicle driving information, without definitions being established for detailed performance specifications. Therefore, this study analyzes the performance requirements of a precise digital map capable of lane recognition based on the accuracy of GNSS location information and the accuracy of the precise digital map. To analyze the performance of the precise digital map, simulations are carried out. The results show that to have high performance of this system, we need under 0.5m accuracy of the precise digital map.

• 디지털융복합연구
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• 제15권6호
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• pp.545-550
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• 2017

본 연구는 무농약 재배 Pleurotus eringii 추출물을 함유한 화장품의 효능을 평가하여 새로운 천연 화장품 원료를 개발 하고자 실험을 진행하였다. Pleurotus eringii 는 우리나라 경상남도에서 무농약으로 재배된 2016년산을 구입하여 건조한 후 80% EeOH로 상온에서 추출하였다. 추출물의 항산화활성은 DPPH assay와 ROS assay로 평가하여 우수한 효능을 확인하였고, 추출물 5%를 함유한 크림팩을 제조하여 수분, 유분, pH, 색소의 항목을 평가한 결과 T-zone부위의 유, 수분 항목에서 통계적으로 유의미한 차이를 보였으며, U-zone 유분변화, pH, 색소 등의 항목에서는 통계적으로 유의한 차이가 없었다. 그러나 실험군의 피부변화가 대조군에 비해 모든 항목에서 우수한 효능을 보여 Pleurotus eringii 추출물의 화장품 원료로서의 효능을 확인 할 수 있었고, 향 후 농도별, 추출조건 및 재배조건을 고려한다면 더욱 향상된 화장품 소재로서의 가능성을 평가 받을 수 있을 것으로 판단된다.

• 방송공학회논문지
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• 제24권1호
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• pp.67-76
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• 2019

본 연구에서는 다중 라벨링이 되어 있는 이미지 데이터를 대상으로 시멘틱 세그멘테이션을 활용한 효율적인 오브젝트별 영역 분류 기법을 연구한다. 이미지 데이터에 포함된 색상 정보, 윤곽선, 명암, 채도 등 다양한 픽셀 단위 정보와 프로세싱 기법뿐만 아니라 각 오브젝트들이 위치한 세부 영역을 의미 있는 단위로 추출하여 추론 결과에 반영하는 실험을 진행하고 그 결과에 대해 논의한다. 이미지 분류에서 훌륭한 성능을 검증받은 뉴럴 네트워크를 활용하여 비정형성이 심하고 다양한 클래스 오브젝트가 포함된 이미지 데이터를 대상으로 어떤 오브젝트가 어디에 위치하였는지 파악하는 작업을 진행한다. 이러한 연구를 기반으로 향후 다양한 오브젝트가 포함된 복잡한 이미지의 실시간 세부 영역 분류를 진행하는 인공지능 서비스 제공을 목표로 한다.

• 한국콘텐츠학회논문지
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• 제5권1호
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• pp.65-71
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• 2005

최근 정보기술 및 인터넷의 급속한 발전으로 지식정보 자원들이 디지털화 되어 인터넷을 통해 유통되고 있다. 과학기술 연구 현장에서 수시로 발생되는 세미나, 워크숍 등 연구 성과물의 공유를 위해서는 동영상 콘텐츠의 구축과 식별체계 기반의 유통시스템 구축이 필요하다. 본 연구의 목적은 세미나, 워크숍 등 과학기술 동영상 콘텐츠의 효율적인 정보 공유 및 활용을 위한 KOI 식별체계 기반의 정보유통시스템 구축 방안을 제시하는데 있으며, 이를 위해 식별체계 개요 및 현황과 유통시스템의 기능적 요소인 동영상 콘텐츠 과제 및 슬라이드의 KOI 식별체계 적용 방법, 동영상 정보연계 시스템, 식별체계 통합관리 시스템, 동영상 메타데이터 구성 및 검색 방안 등을 기술하였다.

• 한국소음진동공학회논문집
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• 제22권2호
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• pp.156-162
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• 2012

This paper presents differences of road traffic noise maps were generated by using the draft map and two digital maps with different versions. As a first step, the calculation of the areas of excessive noise exposure was made for the draft map and each digital map version. Subsequently, the areas of excessive noise exposure were compared so as to determine how different from each other. Then, comparison of the populations exposed to excessive noise was also conducted in the same way. It was found that the most accurate noise map was obtained when using the combination of the draft map containing all attribute information and the digital map Ver 2.0. This result indicates that more information on the height and the number of floors of the individual building is required in order to obtain more accurate population exposed to excessive noise, thus creating a more accurate noise map.

• ETRI Journal
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• 제27권4호
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• pp.385-393
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• 2005

This paper presents an application of digital signal processing to data acquired by the radio imaging method (RIM) that was adopted to measure moisture distribution inside the human body. RIM was originally developed for the mining industry; we are applying the method to a biomedical measurement because of its simplicity, economy, and safety. When a two-dimensional image was constructed from the measured data, the method provided insufficient resolution because the wavelength of the measurement medium, a weak electromagnetic wave in a VHF band, was longer than human tissues. We built and measured a phantom, a model simulating the human body, consisting of two water tanks representing large internal organs. A digital equalizer was applied to the measured values as a weight function, and images were reconstructed that corresponded to the original shape of the two water tanks. As a result, a two-dimensional image containing two individual peaks corresponding to the original two small water tanks was constructed. The result suggests the method was applicable to biomedical measurement by the assistance of digital signal processing. This technique may be applicable to home-based medical care and other situations in which safety, simplicity, and economy are important.

• 한국인터넷방송통신학회논문지
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• 제21권4호
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• pp.9-13
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• 2021

통신 기술의 발달과 더불어 다양한 형태의 디지털 범죄가 증가하고 있고, 이에 따라 디지털 포렌식에 대한 필요성이 높아지고 있다. 더욱이 특정인이 중요한 데이터를 담고 있는 텍스트 문서를 고의적으로 삭제하거나 수정할 경우 데이터 수정 감지 여부를 확인하는 시스템을 통해 특정인과 범죄와의 연관성을 입증할 수 있는 중요한 자료가 될 수 있을 것이다. 이에 본 논문은 텍스트 파일을 중심으로 암호화 기법 중 하나인 SHA-256의 hash data, 생성 시간, 수정 시간, 접근 시간 및 파일의 크기 등을 분석하여 대상 텍스트 파일의 수정 여부를 비교할 수 있는 데이터 수정 감지 시스템을 제안한다.

• 디지털산업정보학회논문지
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• 제18권4호
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• pp.47-54
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• 2022

In this paper, MEMS embedded system design implemented the sensor events via analyzing the characteristics that dynamically happened to an abnormal status in power IoT environments in order to guarantee a maintainable operation. We used three kinds of tools in this paper, at first Bluetooth Low Energy (BLE) technology which is a suitable protocol that provides a low data rate, low power consumption, and low-cost sensor applications. Secondly LSM6DSOX, a system-in-module containing a 3-axis digital accelerometer and gyroscope with low-power features for optimal motion. Thirdly BM1422AGMV Digital Magnetometer IC, a 3-axis magnetic sensor with an I2C interface and a magnetic measurable range of ±120 uT, which incorporates magneto-impedance elements to detect the magnetic field when the current flowed in the power devices. The proposed MEMS system was developed based on an nRF5340 System on Chip (SoC), previously compared to the standalone embedded system without bluetooth technology via mobile App. And also, MEMS embedded system with BLE 5.0 technology broadcasted the MEMS system status to Android mobile server. The experiment results enhanced the performance of MEMS system design by combination of sensors, BLE technology and mobile application.