• The Plant Pathology Journal
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• v.39 no.4
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• pp.319-334
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• 2023

Plant disease is an important factor affecting crop yield. With various types and complex conditions, plant diseases cause serious economic losses, as well as modern agriculture constraints. Hence, rapid, accurate, and early identification of crop diseases is of great significance. Recent developments in deep learning, especially convolutional neural network (CNN), have shown impressive performance in plant disease classification. However, most of the existing datasets for plant disease classification are a single background environment rather than a real field environment. In addition, the classification can only obtain the category of a single disease and fail to obtain the location of multiple different diseases, which limits the practical application. Therefore, the object detection method based on CNN can overcome these shortcomings and has broad application prospects. In this study, an annotated apple leaf disease dataset in a real field environment was first constructed to compensate for the lack of existing datasets. Moreover, the Faster R-CNN and YOLOv3 architectures were trained to detect apple leaf diseases in our dataset. Finally, comparative experiments were conducted and a variety of evaluation indicators were analyzed. The experimental results demonstrate that deep learning algorithms represented by YOLOv3 and Faster R-CNN are feasible for plant disease detection and have their own strong points and weaknesses.

• Nuclear Engineering and Technology
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• v.41 no.5
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• pp.603-616
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• 2009

The past two decades were mainly devoted to model validation and computer code verification against global corium experiments, code application to reactor situations, and investigation of the role of melt properties in steam explosion energetics. Corium data were essentially provided by JRC-Ispra in the FARO and KROTOS facilities and by KAERI in the TROI facility. Verification of code applicability to reactor situations was performed essentially in the frame of the international OECD/SERENA programme. The paper makes a synthesis of the findings made during the above-mentioned period and expresses a personal view of the author with respect to the progress made and expected for the resolution of the steam explosion issue for light water reactors.

• Smart Structures and Systems
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• v.20 no.3
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• pp.343-350
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• 2017

An experimental study is presented of the application of fiber Bragg grating (FBG) interrogation method based on optical time-domain reflectometery (OTDR) to monitoring strain in bent reinforced concrete beams. The results obtained with the OTDR-based method are shown to agree well with the direct spectral measurements. Strain sensitivity, resolution and measurement range amounted to $0.0028dB/{\mu}strain$; $30{\mu}strain$; $4000{\mu}strain$, correspondingly. Significant differences are observed in surface and inner deformations of the test beams which can be attributed to different mechanical properties of concrete and steel reinforcement. The prospects of using OTDR-based FBG interrogation technique in real-life applications are discussed.

• Electronics and Telecommunications Trends
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• v.35 no.3
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• pp.76-84
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• 2020

Neuromorphic hardware refers to brain-inspired computers or components that model an artificial neural network comprising densely connected parallel neurons and synapses. The major element in the widespread deployment of neural networks in embedded devices are efficient architecture for neuromorphic hardware with regard to performance, power consumption, and chip area. Spiking neural networks (SiNNs) are brain-inspired in which the communication among neurons is modeled in the form of spikes. Owing to brainlike operating modes, SNNs can be power efficient. However, issues still exist with research and actual application of SNNs. In this issue, we focus on the technology development cases and market trends of two typical tracks, which are listed above, from the point of view of artificial intelligence neuromorphic circuits and subsequently describe their future development prospects.

• Journal of Korean Society of Forest Science
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• v.77 no.1
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• pp.109-115
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• 1988

Decrease of the planting area reduced fertilized area of forest. To accomplish the aims of natural regeneration, mini-rotation plantation, diminishing the rotation length, maintaining healthy forest and production of good quality timber, forest fertilization should be continued. In order to improve the deteriorate situation, slow-release fertilizer applied on top soil needs to be developed and aerial application will give diminished cost. Fertilization with tending before tree felling in forest will increase the effect of fertilizer more, Proper quantity of fertilizer by tree species and soil fertility should be found out in the future, Street trees, environmental forest near city and ornamental trees in the residential areas could be also included in this field.

• BMB Reports
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• v.48 no.4
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• pp.234-237
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• 2015

Aptamers, composed of single-stranded DNA or RNA oligonucleotides that interact with target molecules through a specific three-dimensional structure, are selected from pools of combinatorial oligonucleotide libraries. With their high specificity and affinity for target proteins, ease of synthesis and modification, and low immunogenicity and toxicity, aptamers are considered to be attractive molecules for development as anticancer therapeutics. Two aptamers - one targeting nucleolin and a second targeting CXCL12 - are currently undergoing clinical trials for treating cancer patients, and many more are under study. In this mini-review, we present the current clinical status of aptamers and aptamer-based cancer therapeutics. We also discuss advantages, limitations, and prospects for aptamers as cancer therapeutics. [BMB Reports 2015; 48(4): 234-237]

• Proceedings of the KSRS Conference
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• 1999.11a
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• pp.54-59
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• 1999

The KITSAT-3, launched on May 26th of 1999, is equiped with a high-resolution earth-watch sensor that has spectral bands similar to that of the SPOT. In this paper, the primary discussion is on Investigation of possible application of images acquired from this sensor The secondary discussion is on the comparison of the images with those of Landsat TM and SPOT.

• The Journal of the Korean dental association
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• v.41 no.2 s.405
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• pp.116-123
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• 2003

Antimicrobial Peptides are natural antibiotics evolved by many plants, invertebrate, and vertebrate to defend against the microbial infection. Antimicrobial peptides show a broad-spectrum antimicrobial activity with little opportunity for the development of resistance since they target microbial membranes that distinguish microbes from enkaryotic cells. The oral cavity is constantly exposed to microbial challenges and antimicrobial peptides play an important role in managing the oral health. With the increase of resistant micro-organisms to conventional antibiotics, antimicrobial peptides are attracting interests as novel antibiotics. In this review, the characteristics of antimicrobial of antimicrobial peptides including the classification, mechanism of action, resistance, and expression in the oral cavity have been discussed in the prospects of application to oral disease.

• Journal of Biomedical Engineering Research
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• v.30 no.5
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• pp.355-361
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• 2009

Mitochondria play a key role in maintaining life by producing ATP and heat. Recent researches have demonstrated that degenerative diseases such as heart failure, obesity/diabetes, cardiovascular disease, and psychiatric diseases are accompanied by mitochondria dysfunction. In this sense, mitochondria medicine considers the significance of mitochondria in human pathology and tries to explain degenerative diseases as a fatal consequence of mitochondria dysfunction. Here, I introduce the fundamentals of mitochondria physiology and present examples showing the relationship between mitochondria dysfunction and chronic complex diseases. Although mitochondria medicine uses a molecular biological approach predominantly, a biomedical engineering approach might play a critical role in unveiling the complexity of mitochondria medicine and in its application to the diagnosis and treatment of chronic diseases. Thus, I also briefly review the prospects of research using biomedical engineering methods.

• Proceedings of the KIEE Conference
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• 2009.07a
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• pp.2004_2006
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• 2009

2009년 기준으로 국내 전력회사에서 관리 운영하고 있는 전력량계는 약 1,800 여 만대로 이중 약 16만 여대의 고압용 전력량계는 전자식화를 완료하였고 기타 저압용 전력량계는 2015년 이내에 전자식화를 완료할 예정이다. 국내에 전자식 전력량계가 본격적으로 도입된 지 채 10여년이 되지 않은 상황에서 국내의 전력계량 기술분야는 단순한 전자식화의 틀을 벗어나 국가적 스마트그리드 사업의 추진과 연계하여 지능화된 스마트 전력계량시스템으로 급격하게 진보하고 있다. 본 논문 에서는 최근 사내 현안 연구과제로 수행된 '전자식 전력량계를 활용한 부가서비스 시행방안 연구'의 연구결과를 토대로 하여, 국외 주요국가의 차세대 전자식 전력량계 부가서비스 기술개발 추세를 조망하고 향후 국내환경에 적합한 차세대 스마트급 전력량계의 부가서비스 도출방안과 항목선정을 위한 평가 그리고 구체적 적용전망을 살펴보고자 한다.