• 한국통신학회논문지
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• 제19권5호
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• pp.959-970
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• 1994

본 논문에서는 핸디 스캐너를 사용하여 인쇄 악보를 읽어들여서 이를 최종적으로 매쉬 컴퓨터에서 병렬 수행 하도록 한다. 일차적으로 특정 패턴에 따란 분류하고, 지식을 기반으로하여 인식하게 된다. 본 논문에서 제안하는 알고리즘은 전처리 과정을 최소화하고 단순한 연산을 사용한다. 인쇄 악보의 악상 기호 크기는 여러 가지가 허용되도록하며 악상 기호의 종류의 다양성 때문에 모든 기호를 인식하는 것은 어려운 일이므로 우선 사용 빈도수가 높은 몇가지 기호를 인식하도록 한다. 인식된 결과는 미디 표준파일 형식으로 변환하도록 한다. 영상 처리의 고속성이 요구되므로 다중프로세서를 갖는 병렬처리 시스템이 필요하다. 이차원적인 디지털화된 영상은 SIMD 메쉬 컴퓨터 구조에서 처리되기에 적합하므로 이 구조에 대해서 설명하고 n의 프로세서를 갖는 SIMD 메쉬 컴퓨터 구조상에서의 시간복잡도가 0(n)인 병렬 알고리즘을 기술한다.

• 대한건축학회논문집:계획계
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• 제34권9호
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• pp.9-20
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• 2018

There are many large and small spaces in the interior of the building, and these spaces are arranged and connected to form a systematic spatial structure. A structure is a collection of several parts to form a whole. In other words, the spatial structure in architecture can be seen as a whole organized and organized as individual unit spaces are gathered together. Therefore, in order to understand the spatial structure, we first need to define the unit spaces that form part, how they are interconnected and arranged, and then understand how and how these unit spaces are organized to form a whole. The main purpose of this study is to study the structural system of space based on the shape information of space on architectural plane. This means interpreting the process and method of how the unit spaces defined as a certain shape on the architectural plane are organized step by step, integrated into a higher level, and eventually integrated into one whole. In this paper, the shape and layout of the unit space are identified in the architectural plan, the connection relation is defined, and expressed in the network form. And suggests a new methodology for interpreting the organizational process in which the following spaces are integrated as a whole. This new methodology is based on human perceptual characteristics. When people recognize an object, they recognize the object partly and completely. We want to explain the relationship between parts of space and the whole according to their characteristics.

• 영미문화
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• 제14권2호
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• pp.251-285
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• 2014

Monsters cannot speak. They have been objectified and represented through a particular concept 'monstrosity' that renders the presence of monsters effectively simplified and nullified. In contemporary monster narratives, however, the site of monsters reveals that they could be the complex construction of society, culture, language and ideology. As going into the structure that concept is based on, therefore, meanings of monsters would be seen to be highly unstable. When symbolic language strives to match monsters with a unified concept, their meanings become only further deferred rather than valorized. This shows the language of monsters should disclose the self-contradiction inherent in 'monstrosity,' which has made others—namely beings we define as 'different' from ourselves in culture or physical appearance—embodied as abject and horrifying monsters. Unable to be understood, accepted, or called humans. I analyse Frankenstein and Dracula that firmly converge monstrous bodies into a symbolic meaning, demonstrating how this fusion causes problems in the multicultural society. I especially emphasize the undeniable affirmation of expurgated others we need to have empathetic relations with, because their difference, unfamiliarity, and slight divergences are likely to be defined as abnormalities. In the multicultural society, thus, we must learn to embrace diversity, while also having to recognize there are many others that have been thought of as monsters; ironically enabling us to think about an undeniable imperative of being responsive to other people. In this respect, the monstrous inhuman goes to the heart of the ethical undercurrent of multiculturalism, its resolute attempt to recognize and respect someone else's difference from me. A focus on empathetic relations with others, thus, can strengthen the process of creating social mechanisms that do justice to the competing claims of different cultural groups and individuals.

• 한국의류산업학회지
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• 제24권5호
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• pp.647-654
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• 2022

Wearable devices come in a variety of shapes and sizes in numerous fields in numerous fields and are available in various forms. They can be integrated into clothing, gloves, hats, glasses, and bags and used in healthcare, the medical field, and machine interfaces. These devices keep track individuals' biological and behavioral data to help with health communication and are often used for injury prevention. Those with hearing loss or impaired vision find it more difficult to recognize an approaching person or object; these sensing devices are particularly useful for such individuals, as they assist them with injury prevention by alerting them to the presence of people or objects in their immediate vicinity. Despite these obvious preventive benefits to developing Internet of Things based devices for the disabled, the development of these devices has been sluggish thus far. In particular, when compared with people without disabilities, people with hearing impairment have a much higher probability of averting danger when they are able to notice it in advance. However, research and development remain severely underfunded. In this study, we incorporated a wearable detection system, which uses an infrared proximity sensor, into a backpack. This system helps its users recognize when someone is approaching from behind through visual and tactile notification, even if they have difficulty hearing or seeing the objects in their surroundings. Furthermore, this backpack could help prevent accidents for all users, particularly those with visual or hearing impairments.

• IMMUNE NETWORK
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• 제20권1호
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• pp.5.1-5.15
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• 2020

The γδ T cells are unconventional lymphocytes that function in both innate and adaptive immune responses against various intracellular and infectious stresses. The γδ T cells can be exploited as cancer-killing effector cells since γδ TCRs recognize MHC-like molecules and growth factor receptors that are upregulated in cancer cells, and γδ T cells can differentiate into cytotoxic effector cells. However, γδ T cells may also promote tumor progression by secreting IL-17 or other cytokines. Therefore, it is essential to understand how the differentiation and homeostasis of γδ T cells are regulated and whether distinct γδ T cell subsets have different functions. Human γδ T cells are classified into Vδ2 and non-Vδ2 γδ T cells. The majority of Vδ2 γδ T cells are Vγ9δ2 T cells that recognize pyrophosphorylated isoprenoids generated by the dysregulated mevalonate pathway. In contrast, Vδ1 T cells expand from initially diverse TCR repertoire in patients with infectious diseases and cancers. The ligands of Vδ1 T cells are diverse and include the growth factor receptors such as endothelial protein C receptor. Both Vδ1 and Vδ2 γδ T cells are implicated to have immunotherapeutic potentials for cancers, but the detailed elucidation of the distinct characteristics of 2 populations will be required to enhance the immunotherapeutic potential of γδ T cells. Here, we summarize recent progress regarding cancer immunology of human γδ T cells, including their development, heterogeneity, and plasticity, the putative mechanisms underlying ligand recognition and activation, and their dual effects on tumor progression in the tumor microenvironment.

• 제어로봇시스템학회논문지
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• 제12권4호
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• pp.395-399
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• 2006

A method to recognize unpaved road region using a 3D depth measurement system is proposed for mobile robots. For autonomous maneuvering of mobile robots, recognition of obstacles or recognition of road region is the essential task. In this paper, the 3D depth measurement system which is composed of a rotating mirror, a line laser and mono-camera is employed to detect depth, where the laser light is reflected by the mirror and projected to the scene objects whose locations are to be determined. The obtained depth information is converted into an image. Such depth images of the road region represent even and plane while that of off-road region is irregular or textured. Therefore, the problem falls into a texture identification problem. Road region is detected employing a simple spatial differentiation technique to detect the plain textured area. Identification results of the diverse situation of unpaved trail are included in this paper.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2004년도 ICCAS
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• pp.1802-1807
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• 2004

When a construction company builds a high structure, many piles should be driven into the ground by a hammer whose weight is 7,000 Kg in order to make the ground under the structure safe and strong. So, it is essential to determine whether a pile is penetrated into the ground enough to support the weight of the structure since ground characteristics at different locations are different each other. This paper proposes a visual measurement system for pile rebound and penetration movement including vibration using a high-speed line-scan camera and a specially designed mark to recognize two-dimensional motion parameters of the mark using only a line-scan camera. A mark stacking white and black right-angled triangles is used for the measurement, and movement information for vertical distance, horizontal distance and rotational angle is determined simultaneously

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2003년도 ICCAS
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• pp.839-844
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• 2003

This paper presents a method to segment wafer ID marks on poor quality images under uncontrolled lighting conditions of the semiconductor process. The active multiple templates matching method is suggested to search ID areas on wafers and segment them into meaningful regions and it would have been impossible to recognize characters using general OCR algorithms. This active template model is designed by applying a snake model that is used for active contour tracking. Active multiple template model searches character areas and segments them into single characters optimally, tracking each character that can vary in a flexible manner according to string configurations. Applying active multiple templates, the optimization of the snake energy is done using Greedy algorithm, to maximize its efficiency by automatically controlling each template gap. These vary according to the configuration of character string. Experimental results using wafer images from real FA environment are presented.

• 보건교육건강증진학회지
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• 제10권2호
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• pp.11-21
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• 1993

Recently the structure of disease is changing its form into chronic disease. Taking into consideration this, the health care system doesn't cope with this tendency. With the health care system for acute disease, it is difficult to decrease medical care cost. At this point, Health education like primary health care can reduce risk factors and possibilities of occurrence of disease. This can cut off the medical insurance finance further more cuts off the rates of insurance cost. This is why health education is the principle part of medical insurance service. Though the law shows health education must be executed in the field of Medical insurance, still it is not enough. In order to carry out health education in the medical insurance organization, the efforts we should make are as follows: 1. Recognize the importance of health education. 2. Set the clear goals in health education. 3. Organize health education system. 4. Train health workers. 5. Systematize health education service. 6. Reform the medical insurance system. 7. Evaluate the effect of health education and practice the model.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권4호
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• pp.1704-1720
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• 2020

Recognizing food from photographs presents many applications for machine learning, computer vision and dietetics, etc. Recent progress of deep learning techniques accelerates the recognition of food in a great scale. We build a hierarchical structure composed of deep CNN to recognize and classify food from photographs. We build a dataset for Korean food of 18 classes, which are further categorized in 4 major classes. Our hierarchical recognizer classifies foods into four major classes in the first step. Each food in the major classes is further classified into the exact class in the second step. We employ DenseNet structure for the baseline of our recognizer. The hierarchical structure provides higher accuracy and F1 score than those from the single-structured recognizer.