• 한국정보디스플레이학회:학술대회논문집
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• 한국정보디스플레이학회 2005년도 International Meeting on Information Displayvol.I
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• pp.234-235
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• 2005

True electronic paper displays are being enabled by the development of two core technologies - plastic electronics for display backplanes and electrophoretic ink for use as the imaging layer. Electrophoretic ink developed by E Ink Corporation continues to advance performance along with parallel technology breakthroughs in flexible TFT backplanes. An overview of these advances in the ink imaging material will be discussed with special emphasis of the expected impact on the emerging flexible display applications.

• 한국지구물리탐사학회:학술대회논문집
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• 한국지구물리탐사학회 2003년도 Proceedings of the international symposium on the fusion technology
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• pp.35-41
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• 2003

Rock mass characterization is an integral part of rock engineering design. Much of the information for rock mass characterization comes from field fracture mapping and data collecting. This paper describes two technologies that can be used to assist with the field mapping and data collecting activities associated with rock mass characterization: digital image processing and 3D laserscanning. The basis for these techniques is described, as well as the results of field case studies and an analysis of the error in estimating fracture orientation.

• 한국마이크로전자및패키징학회:학술대회논문집
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• 한국마이크로전자및패키징학회 2003년도 International Symposium
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• pp.65-89
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• 2003

Next Highly sophisticated communication generation of the Advanced Electronics and Imaging processing society will require a vast information volume and super high speed signal transport and information instruction. This means that super high technology should be created for satisfying the demand. It's also required the high reliability of the communication system itself, It will be supported the new advanced packaging technology of the 3 Dimensional structured system and system integration technology. Here is introduced the new 3 Dimensional technology for IC nnd LSI packaging and Opt-electronics Packaging of ASET activity in Japan.

• 전자통신동향분석
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• 제32권6호
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• pp.66-72
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• 2017

The frequency range of a radio wave is from 3kHz to 300GHz, and radio technologies use this range to improve the quality of human lives. Radio technologies have entered a new phase of communication. The core infrastructure used as the basis for technologies leading the fourth industrial evolution, such as artificial intelligence, the Internet of Things, autonomous cars/drones, augmented reality, robots, and remote medical diagnoses, is the 5G network. The 5G network enables transmitting and receiving large amounts of data at very high speed. In particular, application technologies with artificial intelligence have been studied, including radar, wireless charging, electromagnetic devices and their effects on humans, EMI/EMC, and microwave imaging. In this study, we present a future radio technology that is needed to prepare for the upcoming industrial revolution and digital transformation.

• 복식문화연구
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• 제18권6호
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• pp.1305-1317
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• 2010

본 연구는 다양한 3D imaging 기술이 생산해낼 수 있는 환영효과를 직물에 적용할 수 있는지에 대한 가능성을 통해서, 현실과 허구의 경계가 없어지는 새로운 환경을 조성하기 위한 직물을 개발하여 변형 가능한 삼차원의 살아있는 직물 같은, 관점에 따라 패턴과 색깔의 이미지가 바뀌는 흥미로운 직물패턴의 실현 가능성을 알아본다. 본 논문은 I, II로 나뉘어 있으며, 각 논문에서 각기 다른 실험을 실시하여 결과로의 적용가능성과 제한점을 살펴봄으로써 Holography, Lenticular, 등 가상의 3D 테크놀로지를 통해 2D 평면의 구조에 3D 가상 이미지의 텍스타일 적용 가능성을 기계적 실험을 통해 확인하며, 3D imaging 기술에 대한 경험과 이해를 얻고, 3D imaging 기술을 적용할 수 있는 잠재력을 연구하기 위한 것으로, 실험은 현장에 있는 전문 텍스타일연구가, 과학자, 예술가 그리고 디자이너들의 협업으로 이루어졌다.

• 한국융합학회논문지
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• 제10권11호
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• pp.173-179
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• 2019

DICOM 영상은 인체의 진단과 치료에 중요한 역할을 하고 있으며 설계모델링은 목적에 따라 형상을 3차원으로 계획하는 기술이다. 본 연구는 이러한 두 가지 기술을 융합하여 외이도의 형태적 변화에 대한 횡단면, 부피, 표면적의 관계를 관찰하고자 하였다. 실험은 인체의 단면 획득 의료영상기술을 적용하여 19귀의 외이도를 추출한 3차원 형상을 스테레오리소그래피, 3-매틱(matic) 프로그램으로 센터라인 생성 및 분할 기술을 적용하였다. 그 결과 외이도의 횡단면 구조는 타원형(38.5%), 반원형(28.2%), 혼재형(17.9%), 네모형(10.2%), 주름형(5.1%)등 다양한 형태가 나타났다. 또한 외이도 길이가 길수록 위상별 횡단면 면적은 크게 나타났으며 부피와 표면적은 고막방향으로 갈수록 감소하였지만 그 감소율은 상대적으로 낮게 나타났다. 이는 외이도의 형태가 고막방향으로 갈수록 불규칙한 구조로 되어 있음을 나타냈다.

• 한국음향학회지
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• 제41권5호
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• pp.534-544
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• 2022

초음파진단기는 실시간으로 손쉽고 안전하게 환자의 병변을 관찰할 수 있는 등의 다양한 장점으로 인해 병원, 의원 등의 의료현장에서 널리 활용되고 있다. 이 초음파진단기 신호처리 블록 중 하나인 빔포머는 초음파진단기 영상의 화질을 결정하는 부분 중 하나이다. 초음파진단기 기술의 발전과 더불어 이 빔포머와 관련된 기술들도 장기간 많은 발전을 이루어 왔는데, 이 기술들 중 하나의 주요 방법인 합성구경영상법(Synthetic Aperture Imaging method, SAI)은 프로브를 통해 수신한 신호가 운반해 온 환자로부터의 정보를 최대로 활용하기 위한 방법으로, 1990년대 경 최초로 초음파진단기에 도입된 이래 획기적 화질 향상에 기여해 왔고, 수십년동안 다양한 형태의 발전을 거쳐왔다. 이 논문에서는 이러한 진화과정을 살펴보고, 이 기술의 미래의 발전 방향을 예상해 본다.

• Journal of Animal Science and Technology
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• 제64권5호
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• pp.813-829
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• 2022

Internal and external defects of eggs should be detected to prevent cross-contamination of intact eggs by abnormal eggs during storage. Emerging detection technologies for abnormal eggs were introduced as an alternative to human inspection. The advanced technologies could rapidly detect abnormal eggs. Abnormal egg detection technologies using acoustic response, machine vision, and spectroscopy have been commercialized in the poultry industry. Non-destructive egg quality assessment methods meanwhile could preserve the value of eggs and improve detection efficiency. In order to improve detection efficiency, it is essential to select a proper algorithm for classifying the types of abnormal eggs. This review deals with the performance of the detection technologies for various types of abnormal eggs in recently published resources. In addition, the discriminant methods and detection algorithms of abnormal eggs reported in the published literature were investigated. Although the majority of the studies were conducted on a laboratory scale, the developed detection technologies for internal and external defects in eggs were technically feasible to obtain the excellent detection accuracy. To apply the developed detection technologies to the poultry industry, it is necessary to achieve the detection rates required from the industry.

• Nuclear Engineering and Technology
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• 제38권5호
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• pp.399-404
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• 2006

Noninvasive molecular targeting in living subjects is highly demanded for better understanding of such diverse topics as the efficient delivery of drugs, genes, or radionuclides for the diagnosis or treatment of diseases. Progress in molecular biology, genetic engineering and polymer chemistry provides various tools to target molecules and cells in vivo. We used chitosan as a polymer, and $^{99m}Tc$ as a radionuclide. We developed $^{99m}Tc-galactosylated$ chitosan to target asialoglycoprotein receptors for nuclear imaging. We also developed $^{99m}Tc-HYNIC-chitosan-transferrin$ to target inflammatory cells, which was more effective than $^{67}Ga-citrate$ for imaging inflammatory lesions. For an effective delivery of molecules, a longer circulation time is needed. We found that around 10% PEGylation was most effective to prolong the circulation time of liposomes for nuclear imaging of $^{99m}Tc-HMPAO-labeled$ liposomes in rats. Using various characteristics of molecules, we can deliver drugs into targets more effectively. We found that $^{99m}Tc-labeled$ biodegradable pullulan-derivatives are retained in tumor tissue in response to extracellular ion-strength. For the trafficking of various cells or bacteria in an intact animal, we used optical imaging techniques or radiolabeled cells. We monitored tumor-targeting bacteria by bioluminescent imaging techniques, dentritic cells by radiolabeling and neuronal stem cells by sodium-iodide symporter reporter gene imaging. In summary, we introduced recent achievements of molecular nuclear imaging technologies in targeting receptors for hepatocyte or inflammatory cells and in trafficking bacterial, immune and stem cells using molecular nuclear imaging techniques.

• Journal of Gastric Cancer
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• 제23권3호
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• pp.388-399
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• 2023

Gastric cancer remains a significant global health concern, coercing the need for advancements in imaging techniques for ensuring accurate diagnosis and effective treatment planning. Artificial intelligence (AI) has emerged as a potent tool for gastric-cancer imaging, particularly for diagnostic imaging and body morphometry. This review article offers a comprehensive overview of the recent developments and applications of AI in gastric cancer imaging. We investigated the role of AI imaging in gastric cancer diagnosis and staging, showcasing its potential to enhance the accuracy and efficiency of these crucial aspects of patient management. Additionally, we explored the application of AI body morphometry specifically for assessing the clinical impact of gastrectomy. This aspect of AI utilization holds significant promise for understanding postoperative changes and optimizing patient outcomes. Furthermore, we examine the current state of AI techniques for the prognosis of patients with gastric cancer. These prognostic models leverage AI algorithms to predict long-term survival outcomes and assist clinicians in making informed treatment decisions. However, the implementation of AI techniques for gastric cancer imaging has several limitations. As AI continues to evolve, we hope to witness the translation of cutting-edge technologies into routine clinical practice, ultimately improving patient care and outcomes in the fight against gastric cancer.