• 한국실내디자인학회논문집
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• 제16권2호
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• pp.209-216
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• 2007

Some may call Peter Marine as 'an ego-less architect', or 'palace maker' due to his designs or attitudes that appearantly please world's most well known clients. However, his eclectic taste and artistic expressions combined with his minimal and abstract architectural approaches are being recognized in many places globally, especially in many fashion brand stores such as Channel, Louis Vuitton, Christian Dior, and Fendi. Born and educated in U.S., Peter Marino designs are influenced by two most famous designers of our modern art history Andy Warhol and Jean-Micheal Franks, that are obvious in his traditionally modern French style designs and abstract expressions. The current study introduces Peter Marine designs through analyses of Channel and Louis Vuitton. The objectives are to understand the designer and find patterns in his brand store designs that has made him now one of the most famous fashion store designers. Educational, social, and personal interest were found to strongly form his design characteristics and four main characteristics were identified by the researcher that are use of LED lightings, emphasis on vortical circulations, graphical application of brand identities, and repetition of simple geometric forms.

• 한국콘텐츠학회논문지
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• 제7권10호
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• pp.175-182
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• 2007

본 논문은 현대장신구속에 나타난 미니멀리즘의 성향을 분석하고자 하였다. 이를 위해 장신구의 특성을 파악하고, 이들 장신구속에 나타난 미니멀리즘의 개념적, 형태적 그리고 조형적 성향을 연구하였다. 미니멀 아트는 시각적 단순함을 선호하는 사람들에게 새로운 감흥을 주었고, 이는 '장식'에 치중해 왔던 기존의 디자인의 개념을 변화시키는 데에 많은 영향을 주었다. 따라서 본 연구에서는 이러한 미니멀리즘의 특성과 장신구에서 나타나는 미니멀리즘의 성향을 파악하고, 이를 활용한 다양한 디자인의 개발에 도움이 되고자 한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제8권11호
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• pp.3711-3730
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• 2014

Cognitive radio networks (CRNs) have emerged as a promising solution to enhance spectrum utilization by using unused or less used spectrum in radio environments. The basic idea of CRNs is to allow secondary users (SUs) access to licensed spectrum, under the condition that the interference perceived by the primary users (PUs) is minimal. In CRNs, the channel availability is uncertainty due to the existence of PUs, resulting in intermittent communication. Transmission control protocol (TCP) performance may significantly degrade in such conditions. To address the challenges, some transport protocols have been proposed for reliable transmission in CRNs. In this paper we survey the state-of-the-art transport protocols for CRNs. We firstly highlight the unique aspects of CRNs, and describe the challenges of transport protocols in terms of PU behavior, spectrum sensing, spectrum changing and TCP mechanism itself over CRNs. Then, we provide a summary and comparison of existing transport protocols for CRNs. Finally, we discuss several open issues and research challenges. To the best of our knowledge, our work is the first survey on transport protocols for CRNs.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1993년도 Fifth International Fuzzy Systems Association World Congress 93
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• pp.1005-1008
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• 1993

Supervised learnmg 01 recurrent neural networks (RNNs) is discussed. First, we review the present state of art, featuring their major properties in contrast of those of the multilayer neural networks. Then, we concisely describe one of the most practical learning algorithms, i.e. backpropagation through time. Revising the basic formulation of the learning algorithms, we derive a general formula to solve for the exact solution(s) of the whole connection weights w of RNNs. On this basis we introduce a novel interpretation of the supervised learning. Namely, we define a multidimensional Euclidean space, by assigning the cost function E(w) and every component of w to each coordinate axis. Since E=E(w) turns up as a hyper surface in this space, we refer to the surface as learning surface. We see that topological features of the learning surface are valleys and hills. Finally, after explicating that the numerical procedures of learning are equivalent to descending slopes of the learning surface along the steepest gradient, we show that a minimal value of E(w) is the intersection of curved valleys.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권1호
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• pp.147-165
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• 2021

In this work, we empirically evaluated the efficiency of the recent EfficientNetB0 model to identify and diagnose malaria parasite infections in blood smears. The dataset used was collected and classified by relevant experts from the Lister Hill National Centre for Biomedical Communications (LHNCBC). We prepared our samples with minimal image transformations as opposed to others, as we focused more on the feature extraction capability of the EfficientNetB0 baseline model. We applied transfer learning to increase the initial feature sets and reduced the training time to train our model. We then fine-tuned it to work with our proposed layers and re-trained the entire model to learn from our prepared dataset. The highest overall accuracy attained from our evaluated results was 94.70% from fifty epochs and followed by 94.68% within just ten. Additional visualization and analysis using the Gradient-weighted Class Activation Mapping (Grad-CAM) algorithm visualized how effectively our fine-tuned EfficientNetB0 detected infections better than other recent state-of-the-art DCNN models. This study, therefore, concludes that when fine-tuned, the recent EfficientNetB0 will generate highly accurate deep learning solutions for the identification of malaria parasites in blood smears without the need for stringent pre-processing, optimization, or data augmentation of images.

• International Journal of Computer Science & Network Security
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• 제22권7호
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• pp.220-228
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• 2022

Image always carry useful information, detecting a text from scene images is imperative. The proposed work's purpose is to recognize scene text image, example boarding image kept on highways. Scene text detection on highways boarding's plays a vital role in road safety measures. At initial stage applying preprocessing techniques to the image is to sharpen and improve the features exist in the image. Likely, morphological operator were applied on images to remove the close gaps exists between objects. Here we proposed a two phase algorithm for extracting and recognizing text from scene images. In phase I text from scenery image is extracted by applying various image preprocessing techniques like blurring, erosion, tophat followed by applying thresholding, morphological gradient and by fixing kernel sizes, then canny edge detector is applied to detect the text contained in the scene images. In phase II text from scenery image recognized using MSER (Maximally Stable Extremal Region) and OCR; Proposed work aimed to detect the text contained in the scenery images from popular dataset repositories SVT, ICDAR 2003, MSRA-TD 500; these images were captured at various illumination and angles. Proposed algorithm produces higher accuracy in minimal execution time compared with state-of-the-art methodologies.

• 패션비즈니스
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• 제27권6호
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• pp.1-17
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• 2023

This study aimed to develop a modern textile design based on the formability of Frank Stella's paintings and to develop and present a fashion design that combines modern sensibility as a 3D virtual clothing program. The formative characteristics of Frank Stella's work were 'unity due to regular stripes', 'asymmetry due to geometric surface division', and 'decorabilitydue to colorful use'. Based on this, costume patterns and textiles based on Frank Stella's paintings were developed and six 3D virtual fashion design works were produced. The conclusion was as follows. First, it was confirmed that Frank Stella's work has a very wide range of applications to fashion products as abstract expression and minimal simplicity coexist visually. Second, various colors and forms of Frank Stella's paintings could be developed using textiles with visual formability, and originality as a fashion work applied with paintings could be maximized. Third, the development of 3D fashion using virtual programs had the ease of time efficiency, cost reduction, and spatiotemporal expansion of work processing compared to the actual costume production process. In addition, the simulation of 3D virtual wear made it easy to modify and recover the position of the textile to be applied to the costume and create a new design in the process of transforming the position of various textiles. It is expected that this study results will be used as basic data for the future conversion content industry in the painting and fashion industries.

• 감성과학
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• 제14권1호
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• pp.49-58
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• 2011

본 연구는 스타일리시 호텔에 대한 공간이미지와 선호도에 관한 연구이며, 아울러 선행연구인 성별 및 연령에 따른 스타일리시의 언어이미지와 색채이미지에 관해 조사 결과 중 미니멀스타일배색에 대한 검증연구이다. 연구결과 성별 및 연령에 있어서 유의한 차이를 보이지 않았으며, 스타일리시 호텔의 공간이미지와 언어이미지의 상관성을 알아보고자 대표 언어를 추출한 결과, 개성적인, 감각적인, 심플한, 도시적인 등으로 인식하여 공간이미지에 대해 스타일리시하게 느끼는 것으로 파악되었다. 또한 공간이미지와 선호도에서는 로비공간의 B호텔, 식음공간의 C호텔, 객실공간의 A호텔로 나타났으며, 색채이미지와 선호도에서는 각각 고명도 저채도, 저명도 저채도로 나타났다. 이것은 선행연구의 가장 스타일리시 한 것으로 인식한 미니멀스타일배색과 동일한 결과로 응답자들은 스타일리시 호텔의 공간이미지에 대해 언어적으로는 세련되고 감각적이며 개성적인 것으로 인식하면서 시각적으로는 고명도 저채도, 저명도 저채도의 공간을 스타일리시 한 것으로 인식하고 있음이 밝혀졌다. 본 연구는 향후 스타일리시한 공간 연출 및 디자인 마케팅을 위해 새로운 디자인 방향을 제시하는 데 그 목적이 있다.

• 대한전자공학회논문지SP
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• 제37권1호
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• pp.27-36
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• 2000

본 연구에서는 초음파와 tomography 기법을 기반으로 콘크리트 구조물의 비파괴 시험에 대한 방법론을 정립하고 검증하였다 일반적인 X-ray tomography에서는 물체를 통과하는 파동의 감쇠(attenuation) 데이터에 기초를 두고있는 반면에, 본 연구에서는 time-of-flight(TOF) 데이터를 사용하여 매질의 굴절률(refractive index)을 포괄적으로 표현하는 단층영상을 복원한다 X-ray tomography에서는 측정된 감쇠 데이터를 영상복원(Image reconstruction) 알고리즘에 의해서 처리하며, 파동의 굴절은 고려할 필요가 없다 그러나 초음파는 매질(medium)의 굴절률(refractive index)에 따라 초음파의 경보가 변경되므로 초음파 tomography에서는 초음파 경로의 연산이 선행되어야만 단층영상을 복원할 수 있게 된다 초음파 정보의 연산은 가하광학(Geometrical Optic)에서 사용되는 굴절률과 경로의 관계에 기초를 둔다 영상 복원은 대수학적 접근 방법인 ART (algebraic reconstruction technique) 또는 SIRT(simultaneous iterative reconstruction technique)를 기초로 연산된 초음파의 경로를 따라 선적분한 TOF 값과 측정된 TOF 값의 차이를 기반으로 수행된다 실제 구현에서는 초음파가 직진한다는 가정하에 영상을 복원하고, 이를 기반으로 초음파의 경로를 연산하였다 본 논문에서는 이들 두 과정(경로연산 및 영상복원)의 반복연산을 통하여 영상을 복원하였다. 세안하는 알고리즘을 모의실험으로 평가하였고, 실제 콘크리트 구조물에 적용하여 본 방법론의 무한한 가능성을 입증하였다.

• Clinics in Shoulder and Elbow
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• 제2권1호
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• pp.60-73
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• 1999

Purpose : The purpose of this study was to compare patients with anterior shoulder instability who were treated with an open Bankart procedure with those treated with an arthroscopic procedure, and to evaluate factors influencing the final outcomes and recurrence. Materials & Methods : One hundred seven shoulders underwent open Bankart repair, and fifty-one shoulders were treated arthroscopically. Average followup for open group was 34 months, and for arthroscopy group was 25 months. The Bankart Rating System by Rowe was used to evaluate the clinical outcome of the procedure. And, the patients were asked about any changes concerning their sports and professional activities. Results: According to Bankart Rating system by Rowe, open group had 97% fair to excellent results with 2 recurrent dislocation(1.8%) and 4 recurrent subluxation(3.6%), and arthroscopy group had 94% fair to excellent results with 3 recurrent dislocation(5.8%) and 4 recurrent subluxation(8%). In open group, 9 shoulders(8.4%) had the mild limitation of range of motion at the time of followup, and 2 shoulders(3.9%) in arthroscopy group. Age and gender do not seem to be a significant factor contributing to an increased re-recurrence rate. The incidence of re-recurrence seems to be affected by dominance, frequency, and patient's activity. The size of Bank art lesion might be also considered as a contributing factor. Conclusion: Either open or arthroscopic Bankart procedures are safe and effective methods with acceptable results if an adequate patient's selection, precise surgical technique and proper postoperative care are done. And arthroscopic surgery could be considered if the anterior instability is non-dominant, non-athlete, traumatic unidirectional and Bankart lesion has minimal erosion of the glenoid and it has thick and mobile labrum.