• Proceedings of the KIEE Conference
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• 1997.07b
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• pp.663-666
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• 1997

This paper presents the development of Distributied Control System for Bookjeju fossil plant. The original analog control system for the power plants has a complex and large-scale structure in their hardware configuration and much difficulties have been experienced for maintenance due to lack of original components. This system connects three different control systems in Bookjeju fossil plant by cue network, The result shows that optimal Distributied Control System has standardization of control system, effective operation management and convenient maintenance of power plant.

• The Korean Journal of Mycology
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• v.44 no.4
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• pp.263-270
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• 2016

Freshwater is a diverse and complex environment for fungi and provides several types of habitat including plant litter, sediment, and carcasses. We collected plant litter from the main stream and branch streams of Nakdong River, Sohancheon in Samcheok, and Geumoreum in Jeju. From several samples of plant litter, we isolated 8 fungal strains belonging to 4 Montagnulaceae species unrecorded in Korea: Paraconiothyrium archidendri, Paraphaeosphaeria sporulosa, Paraphaeosphaeria michotii, and Paraphaeosphaeria viridescens. These fungi were identified by phylogenetic analysis using the internal transcribed spacer (ITS) region and examination of morphological characteristics. Montagnulaceae is known as one of the families in Pleosporales and includes coniothyrium-like fungi. In this study, we described phylogenetic analysis and mycological characteristics of these species, and this is the first report of these taxa in Korea.

• Journal of Applied Biological Chemistry
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• v.43 no.4
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• pp.192-196
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• 2000

The molecular basis of plant adaptation to the environment is one of the most complex areas of plant science and an understanding of this subject is critical to our ability to feed an increasing word population. Research on plant adaptation to the environment often involves two complementary approaches; top-down studies of well-adapted plants with the goal of identifying and describing the biochemical basis of adaptation and bottom-up targeted analysis of specific biochemical mechanisms with the goal of understanding how these mechanisms contribute to overall plant performance. This brief review will provide examples of both of these approaches by describing the study of sorghum's adaptation to dry environments and the role of a blue light responsive chloroplast promoter that helps protect plants against damage by high irradiance.

• Korean Journal of Medicinal Crop Science
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• v.18 no.3
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• pp.191-200
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• 2010

Anthocyanin and polyphenolic compounds present in fruits of mulberry (Morus alba L.) were determined and the influence of temperature and UV irradiation on stability of the anthocyanin-copigment complex were investigated. The copigmentation substance selected in non-anthocyanin fraction from mulberry for the study included: phenolic acid (hydroxybenzoic acid) and flavonoid (quercetin-3-O-$\beta$-D-glucopyranoside). The copigmentation effect increased with the copigment content. UV irradiation had a stronger degradation effect on the copigmentation complex than heating at $80^{\circ}C$. The non-anthocyanin fraction of mulberry and isolated flavonoid (quercetin-3-O-$\beta$-D-glucopyranoside) from mulberry fruit predominated over other copigment substances.

• International Journal of Reliability and Applications
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• v.13 no.1
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• pp.1-17
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• 2012

This Paper deals with the stochastic behavior and failure analysis of a Viscose Staple Fibre Plant which produces fibre for making clothes. The fibre making plant is a complex system with various subsystems as: Vendor (supplies Charcoal and Sulphur, raw materials for the process), Carbon di sulphide Plant, Acid Plant, Pulp Plant and Processing Plant. The considered system can completely fail due to failure of any of the subsystems. The Carbon di Sulphide Plant can fail in two different ways, due to lack of Sulphur or Charcoal. Processing Plant has the configuration 5-out-of-10: d and 6-out-of-10: f. It is also assumed that the system can fail due to workers strike and catastrophic failure. All failures follow exponential time distribution whereas all repairs follow general time distribution. Preventive Maintenance policy has been applied to reduce the failure in the system. Various reliability characteristics such as transition state probabilities, steady state behavior, reliability, availability, M.T.T.F and the cost analysis have been obtained using supplementary variable technique and Gumbel-Hougaard copula methodology.

• Microbiology and Biotechnology Letters
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• v.47 no.1
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• pp.1-10
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• 2019

Saline soils comprise more than half a billion hectares worldwide. Thus, they warrant attention for their efficient, economical, and environmentally acceptable management. Halophytes are being progressively utilized for human benefits. The halophyte microbiome contributes significantly to plant performance and can provide information regarding complex ecological processes involved in the osmoregulation of halophytes. Microbial communities associated with the rhizosphere, phyllosphere, and endosphere of halophytes play an important role in plant health and productivity. Members of the plant microbiome belonging to domains Archaea, Bacteria, and kingdom Fungi are involved in the osmoregulation of halophytes. Halophilic microorganisms principally use compatible solutes, such as glycine, betaine, proline, trehalose, ectoine, and glutamic acid, to survive under salinity stress conditions. Plant growth-promoting rhizobacteria (PGPR) enhance plant growth and help to elucidate tolerance to salinity. Detailed studies of the metabolic pathways of plants have shown that plant growth-promoting rhizobacteria contribute to plant tolerance by affecting the signaling network of plants. Phytohormones (indole-3-acetic acid and cytokinin), 1-aminocyclopropane-1-carboxylic acid deaminase biosynthesis, exopolysaccharides, halocins, and volatile organic compounds function as signaling molecules for plants to elicit salinity stress. This review focuses on the functions of plant microbiome and on understanding how the microorganisms affect halophyte health and growth.

• The Plant Pathology Journal
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• v.39 no.1
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• pp.28-38
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• 2023

Plant viruses are responsible for worldwide production losses of numerous economically important crops. The most common plant RNA viruses are positivesense single-stranded RNA viruses [(+)ss RNA viruses]. These viruses have small genomes that encode a limited number of proteins. The viruses depend on their host's machinery for the replication of their RNA genome, assembly, movement, and attraction to the vectors for dispersal. Recently researchers have reported that chloroplast proteins are crucial for replicating (+)ss plant RNA viruses. Some chloroplast proteins, including translation initiation factor [eIF(iso)4E] and 75 DEAD-box RNA helicase RH8, help viruses fulfill their infection cycle in plants. In contrast, other chloroplast proteins such as PAP2.1, PSaC, and ATPsyn-α play active roles in plant defense against viruses. This is also consistent with the idea that reactive oxygen species, salicylic acid, jasmonic acid, and abscisic acid are produced in chloroplast. However, knowledge of molecular mechanisms and functions underlying these chloroplast host factors during the virus infection is still scarce and remains largely unknown. Our review briefly summarizes the latest knowledge regarding the possible role of chloroplast in plant virus replication, emphasizing chloroplast-related proteins. We have highlighted current advances regarding chloroplast-related proteins' role in replicating plant (+)ss RNA viruses.

• 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.

• Archives of Pharmacal Research
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• v.8 no.4
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• pp.261-266
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• 1985

Many monoterpen-erivatives are contained in edible plants. Some monoterpen-derivatives have been assessed as negative factors in the food safety. Among them thuone and 4-caranone are important toxic constituents of many plant essential oils. In this study, convenient detection methods of thujone and 4-caranone in oil were developed. The colour reactions of toxic thujone and 4-caranone were performed in oder to detect those in foods and oils. Sodium pentacyanonitrosylferrate (II) react with thujone to produce thujzoximinocarboxylic acid which becomes the six ligand in the ferrate complex (red colour reaction for thujone). Sodium pentacyanonitrosylferrate (II) cleaves 4-caranone to the red ferrate complex of caranketonic acid.

• Journal of Environmental Health Sciences
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• v.33 no.2 s.95
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• pp.83-91
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• 2007

This study investigated the health effects of offensive odor in residents living near the petrochemical industry complex area(PICA) and the thermoelectric power plant(TPP) by using questionnaire. Residents who felt the offensive odor were 58.3% at PICA, 50.9% at TPP and 24.4% at classical fishing and agrarian villages (CFAV)(p=0.000). People who answered that the offensive odor was sever at CFAV were 95.2% only on summer, but at PICA and TPP, were 44.1% and 57.3% on Spring, 62.4% and 68.8% on Summer, 22.0% and 31.7% on Autumn, and 21.7% and 25.7% on Winter, respectively. Average days that the odor occurred were 4.4 days/month at CFAV, but 12.0 and 9.5 days/month at PICA and TPP, respectively. People who experienced the sleep disturbance were 28.0% and 27.1% at PICA and TPP, respectively. The most frequently subjective symptoms were headache(0.953), frequently sneezing(0.825), itchy eyes(0.766), and stimulating eyes(0.709) at PICA, and headache(1.082), itchy eyes(0.931), itchy skin(0.826), and frequent sneezing(0.674) at TPP, respectively. At PICA and TPP, the occurrence rates of diseases in respondents' families were 15.4% and 15.6% for asthma, 12.4% and 9.2% for respiratory diseases, 27.8% and 31.2% for skin diseases, and 9.1% and 6.9% for nervous diseases, respectively. In conclusion, many residents who living near the PICA and TPP experienced the offensive odor during four seasons, especially high on summer, the most frequently subjective symptoms such as headache, itchy and stimulating eyes, frequently sneezing, and some diseases among their families such as asthma, respiratory diseases, skin diseases, and nervous diseases.