• Korean Journal of Veterinary Research
• /
• v.53 no.3
• /
• pp.149-153
• /
• 2013

Animal poisoning has been occurred in Korea. However, the lack of the data about animal poisoning in Korea makes clinicians and diagnostician difficult to obtain information on poisoning cases. In this paper, we tried to gather information about animal poisoning from 1974 to June 2013 in Korea. Animal and Plant Quarantine Agency (QIA) record database were used to examine recent trends in animal poisoning. The analysis showed that the cattle was reported to be the most common species involved in animal poisoning and botulinum toxin constituted the primary group of toxicants. Animal poisoning occurred frequently on January and in Gyenggi-do. Although the data present in this manuscript is a little, it will be helpful to understand the general trend of animal poisoning in Korea.

• Research in Plant Disease
• /
• v.22 no.3
• /
• pp.158-167
• /
• 2016

A pathogen that causes a new disease on green pumpkin in the nursery and the field was characterized and identified. Symptoms of the disease on green pumpkin were water soaking lesions and spots with strong yellow halo on leaf, brown lesion on flower, and yellow spot on fruit. The bacterial isolates from the leaf spot were pathogenic on the 8 curcubitaceae crop plants, green pumpkin, figleaf gourd, wax gourd, young pumpkin, zucchini, cucumber, melon, and oriental melon, whereas they did not cause the disease on sweet pumpkin and watermelon. They were Gram-negative, rod shape with polar flagella, fluorescent on King's B agar and LOPAT group 1a by LOPAT test. Their Biolog substrate utilization patterns were similar to Pseudomonas syringae pv. syringae's in Biolog database. Phylogenetic trees with 16S rRNA gene sequences and multilocus sequence typing (MLST) with nucleotide sequences of 4 housekeeping genes, gapA, gltA, gyrB, rpoD and those of P. syringae complex strains in the Plant Associated and Environmental Microbes Database (PAMDB) showed that the green pumpkin isolates formed in the same clade with P. syringae pv. syringae strains. The clade in MLST tree was in the genomospecies 1 group. The phenotypic and genotypic characteristics suggested that the isolates from green pumpkin lesion were P. syringae pv. syringae.

• Korean Journal of Plant Taxonomy
• /
• v.47 no.2
• /
• pp.161-169
• /
• 2017

The genome size is one of the basic characters of an organism, and it is widely applied in various fields of biology, such as systematics, breeding biology, population biology, and evolutionary biology. This factor was recently highlighted in genome studies because choosing a representative of a plant group having the smallest genome size is important for the efficiency of a genome project. For the estimation of the genome size, flow cytometry has recently been highlighted because it is a convenient, fast, and reliable method. In this study, we report the genome sizes of 15 taxa of Lamiaceae from nine genera distributed in Korea using flow cytometry. Data pertaining to the genome size for all of our species have not been reported thus far, and the data from Agastache, Clinopodium, Elsholtzia, and Isodon are the first reported for each genus. The genome sizes of 15 genera and 39 species were reported to the Plant DNA C-values Database (http://data.kew.org/cvalues/). Scutellaria indica L. has a genome size of 0.37 pg (1C). This is the fourth smallest value among the 98 Lamiaceae taxa in the Angiosperm DNA C-value Database, indicating that this taxon can be used as a reference species in the genome studies in Lamiaceae as a native Korean species. The largest genome size observed in this study is in Phlomis umbrosa Turcz. (1C=2.60 pg), representing the possible polyploidy origin of this species in the family.

• Proceedings of the Korea Database Society Conference
• /
• 1999.06a
• /
• pp.261-270
• /
• 1999

Sintering transforms powdered ore into lumped ore so that the latter can be used in a blast furnace. The powdered ore combined with coke and other materials is loaded into a container and moved along by a pallet while the ignited coke bums. The speed by which the pallet moves determines how much sintering takes place. Since the process is complicated and lacks an accurate mathematical model, human operators manually control the speed by monitoring various factors in the plant. In this paper, we propose a neural network-based pallet speed controller which copies human operator knowledge. Actual process data were collected from a sintering plant fer eight months and preprocessed to remove noisy and inconsistent data. A multilayer perceptron was trained using a back-propagation learning algorithm. In on-line testing at the sinter plant, the proposed model reliably controlled pallet speed during normal operation without the help of human operators. Moreover, the duality and productivity was as good as with human operators.

• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 1996.04a
• /
• pp.658-661
• /
• 1996

Information that can be obtained from nuclear power plant trip cases is important for the efforts to reduce the trip occurrences. However, trip case reports, generally printed in documents, have shortcomings in using the contents. A database system called Information System of Trip Event Cases (INSTEC) is being developed to improve the use of trip information. INSTEC will provide the information obtained from the analysis of Korean nuclear power plant trips, such as component failures or human errors that induced the trips, problems contributed to the trips, and the sequence of unit events. In this study, in the process of INSTEC development, information analysis has been performed and a prototype of the system was developed. The prototype of INSTEC with user interface was presented to plant personnel to collect their opinion on INSTEC by using a questioninnaire. As results, it is confirmed that INSTEC would be helpful and useful for plant personnel to review the trip case information.

• Journal of Multimedia Information System
• /
• v.5 no.3
• /
• pp.215-220
• /
• 2018

This work presents a smart water quality sensor for hydroponic plant growing applications. The proposed sensor can effectively measure pH level and electrical conductivity of the water solution. The micro-controller incorporated in the sensor processes the raw sensor data, and converts it into a readable format. In addition, through the mobile interface realized using a WiFi module, the sensor can send data to the web server database that collects and stores the data. The data stored in the web server can be accessed by a personal computer or smart phone. The prototype sensor has been implemented, and the operations have been verified under an actual hydroponic plant growing application.

• Genomics & Informatics
• /
• v.1 no.2
• /
• pp.108-112
• /
• 2003

We have constructed a molecular linkage map of pepper (Capsicum spp.) in an interspecific $F_2$ population of 107 plants with 320 RFLP, 136 AFLP, and 46 SSR markers. The resulting linkage map consists of 15 linkage groups covering 1,720 cM with an average map distance of 3.7 cM between framework markers. Most RFLP markers ($80\%$) were pepper-derived clones and these markers were evenly distributed all over the genome. Genes for defense and biosynthesis of carotenoids and capsaicinoids were mapped on this linkage map. By using 30 primer combinations, AFLP markers were generated in the $F_2$ population. For development of SSR markers in Capsicum, microsatellites were isolated from two small-insert genomic libraries and the GenBank database. This combined map provides a starting point for high-resolution QTL analysis, gene isolation, and molecular breeding.

• Journal of the Korean Solar Energy Society
• /
• v.30 no.3
• /
• pp.65-70
• /
• 2010

As for the present wind power industry, most of the computerization for monitoring and control is based on the traditional development methodology, but it is necessary to improve SCADA system since it has a phenomenon of backlog accumulation in the applicable aspect of back-data as well as in the operational aspect in the future. Especially for a system like offshore wind power where a superintendent cannot reside, it is desirable to operate a remote control system. Therefore, it is essential to establish a monitoring system with appropriate control and monitoring inevitably premised on the integrity and independence of data. As a result, a study was carried out on the modeling of offshore wind power data-centered database. In this paper, a logical data modeling method was proposed and designed to establish the database of offshore wind power. In order for designing the logical data modeling of an offshore wind power system, this study carried out an analysis of design elements for the database of offshore wind power and described considerations and problems as well. Through a comparative analysis of the final database of the newly-designed off-shore wind power system against the existing SCADA System, this study proposed a new direction to bring about progress toward a smart wind power system, showing a possibility of a service-oriented smart wind power system, such as future prediction, hindrance-cause examination and fault analyses, through the database integrating various control signals, geographical information and data about surrounding environments.

• The Plant Pathology Journal
• /
• v.33 no.1
• /
• pp.34-42
• /
• 2017

Grapevine rupestris stem pitting-associated virus (GRSPaV) is a worldwide-distributed pathogen in grapevines with a high genetic variability. Our study revealed differences in the complexity of GRSPaV population in a single host. A single-variant GRSPaV infection was detected from the SK30 grapevine plant. On the contrary, SK704 grapevine was infected by three different GRSPaV variants. Variant-specific RT-PCR detection protocols have been developed in this work to study distribution of the three different variants in the same plant during the season. This study showed their randomized distribution in the infected SK704 grapevine plant. Comparative analysis of full-length genome sequences of four Slovak GRSPaV isolates determined in this work and 14 database sequences showed that population of the virus cluster into four major phylogenetic lineages. Moreover, our analyses suggest that genetic recombination along with point mutations could play a significant role in shaping evolutionary history of GRSPaV and contributed to its extant genetic diversification.

• Journal of Plant Biotechnology
• /
• v.37 no.2
• /
• pp.133-143
• /
• 2010

Rice (Oryza sativa) is a major cereal crop that has been developed as a monocot model species. In past decades rice researchers have established valuable resources for functional genomics in rice, such as complete genome sequencing, high-density genetic maps, a full length cDNA database, genome-wide transcriptome data, and a large number of mutants. Of these, rice mutant lines are very important to definitively determine functions of genes associated with valuable agronomic traits. In this review we summarize the progress of functional genomics approaches in rice using T-DNA mutants.