• 복식
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• 제61권8호
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• pp.18-31
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• 2011

Gianni Versace was a designer who established his unique fashion world by thinking creatively and using rich design sources. The purpose of this study is to present designers a methodology for creative and characteristic design development by searching Gianni Versace's idea source for fashion design. As a method of the study, visual and textual data were investigated for Versace's fashion and design source especially focusing on those elements that inspired him. Versace was born in the southern area of Italy in 1946. Ever since his childhood, he had a lot of experience with clothes because his mother was a dressmaker. His first collection was made in 1978, and Versace became one of the most famous fashion designers in the world within 20 years. He used a wide range of design sources such as history, culture, and art and created his design world with it. He focused on four important epochs. They were classicism, Byzantium, the eighteenth century centering on Baroque, and the 1920s and 1930s centering on Madeleine Vionnet and Madame Gres. Among cultural elements, costume design for ballet and opera and rock 'n' roll music inspired him greatly. Also, Pop art and various paintings such as Chagall's and Delaunay's had a huge effect on Versace. With these elements, he created a bold and unique coordination of style by mixing & matching history, genre, material, and style into his design. Thus he completed an extraordinary and original fashion style by emphasizing on decorative and glamorous points and changing a way of thinking.

• 한국철도학회논문집
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• 제20권5호
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• pp.692-702
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• 2017

최근 데이터 중심적 교통정책수립 필요성 인식에 따라 교통카드데이터 활용에 관심이 고조되고 있다. 하지만 수도권 외의 많은 지역의 데이터에 하차 정보가 없어 활용에 제약이 있다. 이 논문은 승차 정보만 포함된 교통카드데이터에서 하차 정류장을 추정하는 방법론을 제시하였다. 검증은 서울시와 광주시의 데이터를 활용하였다. 추정 성공률은 서울시, 광주시 각각 78.2%, 81.6%로 나타났다. 정확도는 각각 54.2%, 33.4%로 나타났는데, 2개 정류장 오차까지 허용하는 경우 정확도가 서울시 93.6%, 광주시 94.0%로 크게 높아진다. 또한 광주시와 서울시가 오차 양상이 다름을 밝혔다. 통행사슬 방법의 핵심 매개변수인 허용 도보거리 조정에 따른 추정 성공률 및 정확도의 변화도 다루었다. 허용 도보거리가 증가됨에 따라 추정 성공률은 높아지는 반면 추정 정확도는 낮아지는 것을 확인하였으며, 500m를 전후하여 추정 결과의 변화 양상이 있음을 발견하였다.

• JSTS:Journal of Semiconductor Technology and Science
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• 제14권1호
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• pp.100-108
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• 2014

Low noise amplifier (LNA) is an integral component of RF receiver and frequently required to operate at wide frequency bands for various wireless system applications. For wideband operation, important performance metrics such as voltage gain, return loss, noise figure and linearity have been carefully investigated and characterized for the proposed LNA. An inductive shunt feedback configuration is successfully employed in the input stage of the proposed LNA which incorporates cascaded networks with a peaking inductor in the buffer stage. Design equations for obtaining low and high impedance-matching frequencies are easily derived, leading to a relatively simple method for circuit implementation. Careful theoretical analysis explains that input impedance can be described in the form of second-order frequency response, where poles and zeros are characterized and utilized for realizing the wideband response. Linearity is significantly improved because the inductor located between the gate and the drain decreases the third-order harmonics at the output. Fabricated in $0.18{\mu}m$ CMOS process, the chip area of this wideband LNA is $0.202mm^2$, including pads. Measurement results illustrate that the input return loss shows less than -7 dB, voltage gain greater than 8 dB, and a little high noise figure around 6-8 dB over 1.5 - 13 GHz. In addition, good linearity (IIP3) of 2.5 dBm is achieved at 8 GHz and 14 mA of current is consumed from a 1.8 V supply.

• International journal of advanced smart convergence
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• 제4권2호
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• pp.109-119
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• 2015

The interaction between wireless sensors such as Internet of Things (IoT) and Cloud is a new paradigm of communication virtualization to overcome resource and efficiency restriction. Cloud computing provides unlimited platform, resources, services and also covers almost every area of computing. On the other hand, Wireless Sensor Networks (WSN) has gained attention for their potential supports and attractive solutions such as IoT, environment monitoring, healthcare, military, critical infrastructure monitoring, home and industrial automation, transportation, business, etc. Besides, our virtual groups and social networks are in main role of information sharing. However, this sensor network lacks resource, storage capacity and computational power along with extensibility, fault-tolerance, reliability and openness. These data are not available to community groups or cloud environment for general purpose research or utilization yet. If we reduce the gap between real and virtual world by adding this WSN driven data to cloud environment and virtual communities, then it can gain a remarkable attention from all over, along with giving us the benefit in various sectors. We have proposed a Pub/Sub-based sensor virtualization framework Cloud environment. This integration provides resource, service, and storage with sensor driven data to the community. We have virtualized physical sensors as virtual sensors on cloud computing, while this middleware and virtual sensors are provisioned automatically to end users whenever they required. Our architecture provides service to end users without being concerned about its implementation details. Furthermore, we have proposed an efficient content-based event matching algorithm to analyze subscriptions and to publish proper contents in a cost-effective manner. We have evaluated our algorithm which shows better performance while comparing to that of previously proposed algorithms.

• 농업과학연구
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• 제47권2호
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• pp.315-326
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• 2020

In this study, a real-time crop recognition system was developed for an unmanned farm machine for upland farming. The crop recognition system was developed based on a stereo camera, and an image processing framework was proposed that consists of disparity matching, localization of crop area, and estimation of crop height with coordinate transformations. The performance was evaluated by attaching the crop recognition system to a tractor for five representative crops (cabbage, potato, sesame, radish, and soybean). The test condition was set at 3 levels of distances to the crop (100, 150, and 200 cm) and 5 levels of camera height (42, 44, 46, 48, and 50 cm). The mean relative error (MRE) was used to compare the height between the measured and estimated results. As a result, the MRE of Chinese cabbage was the lowest at 1.70%, and the MRE of soybean was the highest at 4.97%. It is considered that the MRE of the crop which has more similar distribution lower. the results showed that all crop height was estimated with less than 5% MRE. The developed crop recognition system can be applied to various agricultural machinery which enhances the accuracy of crop detection and its performance in various illumination conditions.

• 한국게임학회 논문지
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• 제14권2호
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• pp.55-66
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• 2014

영상 워핑은 입력 영상을 주어진 조건에 적합하게 변형하는 기술로, 최근 영화나 애니메이션 분야에서 캐릭터의 얼굴 형상을 변형하는데 활용되고 있다. 얼굴 특징을 기반으로 형상을 변형하는 워핑 방법 가운데 하나인 메쉬 워핑은 입력 영상에서 눈, 코, 입 주변의 사각형 모양의 메쉬 그룹을 형성하여 1:1정합시킴으로써 워핑 영상을 생성하는 방법이다. 이는 메쉬 제어점 좌표에 오차가 있거나 작은 면적의 메쉬로 세분화되어 생성된 경우 메쉬들의 경계 선분에서 결과 영상이 일그러지는 문제점이 있다. 본 연구는 얼굴의 자연스러운 워핑 영상을 생성하는 과정에서 오류 발생을 최소로 하며 정확한 결과를 적은 연산량과 시간에 처리하기 위해 삼각형기반의 영상 보간 기법을 제안한다. 우선 얼굴을 대표하는 특징점들을 찾고 이들을 연결하여 기본 삼각형 메쉬를 구성한다. 제안하는 방법은 기존의 메쉬 워핑과 비교하여 연산 처리량과 시간은 단축되면서 워핑 과정에서의 오류 발생을 줄일 수 있음을 실험으로 보인다.

• 한국산학기술학회논문지
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• 제16권11호
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• pp.7855-7862
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• 2015

지적도면정보는 필지단위로 소재지, 지번, 지목, 경계 등의 일정한 사항을 지적측량 등에 의해 등록함으로써 생성된다. 그러나 전산화된 지적도면정보는 경계점좌표가 소수점 3자리인 mm 단위의 등록과 소수점 2자리인 cm 단위로 이원화되어 등록되고 있어 지적행정과 지적측량에 혼란을 초래하고 있다. 본 연구에서는 지적도면정보의 좌표등록과 면적산정에 대한 문제점 분석을 통하여 지적도면정보 좌표등록의 소수점 자리수 통일방안을 제시하고자 하였다. 소수점 자리수에 의한 면적의 변화량을 실험한 결과 토지이동으로 인한 면적의 변동과 미세폴리곤의 발생은 좌표의 등록을 소수점 2자리의 등록을 소수점 3자리로 변경한다면 해결이 가능함을 제시할 수 있었고, 이를 위해 제도적으로 소수점 3자리까지 등록할 수 있도록 법을 개정하여 운용하여야 함을 제시하였다.

• 센서학회지
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• 제18권5호
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• pp.377-384
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• 2009

The ultrasonic hyperthermia for oncology has been developed and studied. The HIFU(high intensity focused ultrasound) is the most recent method to treat the tumor by using ultrasound. In this study, an insertion-type transducer for treating a prostate cancer, which can focus the ultrasonic beam mechanically and electrically, was designed and developed. The developed transducer was composed of three arrays, and each array has 32 elements. For the purpose of the mechanical focusing, both side arrays are slanted to the center array by $15^{\circ}$. With this structure, NFL(near field length) was set up as 30 mm. The PZT-4 and two matching layers were used, and the backing layer was excepted to prevent energy losses. The acoustic field analysis and the heating test were performed to evaluate the performance of developed transducer. The shape of an acoustic field, peak pressure, and acoustic pressure distribution were compared with numerical simulation. The NFL was 32 mm, the beam width was 5 mm, focal area was $40\;mm^2$, and peak pressure was 5.5 MPa. With heating by using developed transducer, the temperature increased up to $33^{\circ}C$ at focal zone. As a result of this study, the usefulness of suggested transducer for prostate cancer hyperthermia was confirmed by the acoustic field analysis and the heating test with TMM(tissue mimicking) phantom.

• Journal of Biosystems Engineering
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• 제27권2호
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• pp.151-160
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• 2002

Cow image processing technique would be useful not only for recognizing an individual but also for establishing the image database and analyzing the shape of cows. A cow (Holstein) has usually the unique speckle pattern. In this study, the individual recognition of cow was carried out using the speckle pattern and the content-based image retrieval technique. Sixty cow images of 16 heads were captured under outdoor illumination, which were complicated images due to shadow, obstacles and walking posture of cow. Sixteen images were selected as the reference image for each cow and 44 query images were used for evaluating the efficiency of individual recognition by matching to each reference image. Run-lengths and positions of runs across speckle area were calculated from 40 horizontal line profiles for ROI (region of interest) in a cow body image after 3 passes of 5$\times$5 median filtering. A similarity measure for recognizing cow individuals was calculated using Euclidean distance of normalized G-frame histogram (GH). normalized speckle run-length (BRL), normalized x and y positions (BRX, BRY) of speckle runs. This study evaluated the efficiency of individual recognition of cow using Recall(Success rate) and AVRR(Average rank of relevant images). Success rate of individual recognition was 100% when GH, BRL, BRX and BRY were used as image query indices. It was concluded that the histogram as global property and the information of speckle runs as local properties were good image features for individual recognition and the developed system of individual recognition was reliable.

• 한국산학기술학회논문지
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• 제9권3호
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• pp.621-627
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• 2008

본 논문은 824-849MHz 주파수용 무선통신 단말기의 송신전력을 모니터링하는 역할을 위한 소형화된 LTCC(low temperature to-fired ceramics) 전력검출부에 대하여 기술한다. 제안된 LTCC 전력검출부는 검출기 다이오드, 정합회로를 위한 집중 소자들, 그리고 LTCC 스트립선로 방향성결합기로 구성된다. 소형화를 위하여 실제로 점유된 면적을 줄이기 위해서 다수의 벤드(bend) 소자를 지닌 스트립선로 방향성합기가 설계, 제작되며, 최소 손실과 고속 동작을 위하여 제로 바이어스 쇼트키 다이오드가 사용된다. 제작된 LTCC 전력검출부의 측정결과는 유효 RF 입력 전력영역에서 우수한 선형성을 지니며 예측 결과와 잘 일치한다.