• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.15 no.2
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• pp.152-163
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• 2022

In this paper, we present a method to enable an unmanned aerial vehicle to drop the sonobuoy, an essential element of anti-submarine warfare, in an optimal deployment. To this end, an environment simulating the distribution of sound detection performance was configured through the Unity game engine, and the environment directly configured using Unity ML-Agents and the reinforcement learning algorithm written in Python from the outside communicated with each other and learned. In particular, reinforcement learning is introduced to prevent the accumulation of wrong actions and affect learning, and to secure the maximum detection area for the sonobuoy while the vehicle flies to the target point in the shortest time. The optimal placement of the sonobuoy was achieved by applying the Deep Deterministic Policy Gradient (DDPG) algorithm. As a result of the learning, the agent flew through the sea area and passed only the points to achieve the optimal placement among the 70 target candidates. This means that an autonomous aerial vehicle that deploys a sonobuoy in the shortest time and maximum detection area, which is the requirement for optimal placement, has been implemented.

• Bulletin of the Korean Chemical Society
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• v.25 no.4
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• pp.517-524
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• 2004

Two simple and sensitive spectrophotometric methods were developed for the determination of carbocisteine, penicillamine, ethionamide and thioctic acid in bulk and in their pharmaceutical preparations using alkaline potassium permanganate as an oxidizing agent. The first one involves determination of ethionamide and thioctic acid by spectrophotometric investigation of the oxidation reaction of the two drugs. The second method involves determination of carbocisteine and penicillamine by kinetic studies of the oxidation reaction of these two drugs at room temperature for a fixed time of 20 minutes. The absorbance of the colored manganate ions was measured at 610 nm in both methods. 1-10 ${\mu}$g/mL of ethionamide and thioctic acid could be etermined by the spectrophotometric method with detection limits of 0.11 and 0.089 ${\mu}$g/mL for the two drugs respectively. 2-10 ${\mu}$g/mL of carbocisteine and penicillamine could be determined by the kinetic method with detection limits of 0.14 and 0.21 ${\mu}$g/mL respectively. The two methods were successfully applied for the determination of these drugs in their dosage forms.

• Korean Journal of Veterinary Service
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• v.21 no.1
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• pp.13-20
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• 1998

This survey was carried out to detect the residual antibiotics and sulfonamides in emergency slaughtered cattle(n=265) from slaughter houses in Kyeonggi province by EEC 4-plates method, Charm II and HPLC. The results were summarized as follows ; 1. Antimicrobial substances were detected from 24 samples(9.1%) by EEC 4-plates method and the detection ratio were highest in summer(13.8%). 2. Twenty-two of the 24 positive samples were classified as sulfonamide(34.4%), TCs(31.3%), $\beta$-lactam(23.5%) and aminoglycoside(9.3%) by Charm II test. 13(59.1%) of the 22 samples contained single agent and 9 samples(40.9%) contained 2 or more agents. 3. Oxytetracycline(27.3%), penicillin G (27.3%) and sulfathiazole(18.2%) were detected in 20 from 22 samples by the HPLC and Charm II test. 4. The residual concentration of oxytetracycline, penicillin G and sulfonamide were 0.29~9.30 ppm, 0.05~9.58 ppm and 0.04~7.59 ppm, respectively and 19 samples(7.2%) were exceeded tolerance levels.

• Research in Plant Disease
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• v.10 no.4
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• pp.310-312
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• 2004

Pseudomonas syringae pv. actinidiae is the causative agent of bacterial canker in kiwifruit. A nested PCR detection method that uses primers designed from the cfl gene, involved in production of the phytotoxin coronatine, was applied on soil samples. These primers yielded 665 and 310-bp fragments in consecutive PCR amplification step with DNA from soil inoculated with Korean strain of P. syringae pv. actinidiae. This system was applied to survey soil samples from a kiwifruit orchard destroyed by bacterial canker. A specific 310-bp PCR product was obtained from all six samples of soil tested.

• Journal of Sensor Science and Technology
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• v.28 no.6
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• pp.377-384
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• 2019

People currently spend more than 80% of their time indoors; therefore, the management of indoor air quality has become an important issue. The contamination of indoor air can cause sick house syndrome and various environmental diseases such as atopy and nephropathy. Formaldehyde gas, which is the main contaminant of indoor air, is lethal even with microscopic exposure; however, it is commonly used as an adhesive and waterproofing agent for indoor building materials. Therefore, there is a need for a gas sensor capable of detecting trace amounts of formaldehyde gas. In this review, we summarize recent studies on metal oxide-based semiconductor gas sensors for formaldehyde gas detection, methods to improve the gas-sensing properties of metal oxides of various dimensions, and the effects of catalysts for the detection of parts-per-billion level gases. Through this, we discuss the necessary characteristics of the metal oxidebased semiconductors for gas sensors for the development of next-generation sensors.

• Journal of Microbiology and Biotechnology
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• v.24 no.10
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• pp.1445-1454
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• 2014

Severe acute respiratory syndrome (SARS), a disease that spread widely in the world during late 2002 to 2004, severely threatened public health. Although there have been no reported infections since 2004, the extremely pathogenic SARS coronavirus (SARS-CoV), as the causative agent of SARS, has recently been identified in animals, showing the potential for the re-emergence of this disease. Previous studies showed that 27 single nucleotide polymorphism (SNP) mutations among the spike (S) gene of this virus are correlated closely with the SARS pathogenicity and epidemicity. We have developed a SNP DNA microarray in order to detect and genotype these SNPs, and to obtain related information on the pathogenicity and epidemicity of a given strain. The microarray was hybridized with PCR products amplified from cDNAs obtained from different SARS-CoV strains. We were able to detect 24 SNPs and determine the type of a given strain. The hybridization profile showed that 19 samples were detected and genotyped correctly by using our microarray, with 100% accuracy. Our microarray provides a novel method for the detection and epidemiological surveillance of SARS-CoV.

• Korean Journal of Veterinary Service
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• v.42 no.4
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• pp.237-243
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• 2019

Avian reovirus (ARV) is the pathogenic agent of tenosynovitis and malabsorption syndrome in broiler, which has caused significant economical losses due to poor feeder efficiency and stunting. In order to determine the prevalence of ARV infection in poultry farms in Jeonbuk province, Korea, we performed a surveillance study by testing 179 cecal samples from 131 broiler farms for virus detection, and 1,181 serum samples from 33 broiler farms (n=292) and 22 broiler breeder farms (n=1,525) for antibody detection in the province. Virological examination using RT-PCR showed that ARV were detected in 26.0% of the tested farms (34/131),with the highest positive rates in broilers of 6 days old or more in summer season. In serological test using ELISA, broiler and broiler breeder farms examined were all ARV antibody positive. In broiler, the positive rate and antibody titers showed a tendency to decrease with age in contrast to those of broiler breeders. Our results indicate that ARV is ubiquitous in broilers and broiler breeders in the province.

• Asian-Australasian Journal of Animal Sciences
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• v.16 no.3
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• pp.425-429
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• 2003

Staphylococcus aureus is a major pathogen for cattle, causing various forms of subclinical and clinical mastitis and could be a causative agent of food poisoning, it produces various superantigenic exotoxins which have a great public health significance. A total of 72 S. aureus clinical isolates from dairy farms located in Kyunggi Province Korea were examined for the species identification by biochemical method, and for the detection of $\beta$-lactamase, enterotoxin and other exotoxins genes by PCR. The results of species identification by biochemical method agreed with those of PCR done with species specific primer STA-AU. $\beta$-lactamase is an enzyme closely associated with the resistance to antibiotic penicillin, which is an important means of treatment of mastitis, all the isolates were positive for the presence of genes encoding $\beta$-lactamase, which were reproduced in penicillin susceptibility disc assay. Six types of toxin genes, Staphylococcal enterotoxin (SE)A, SEB, SEC, SEE, toxic shock syndrome toxin (TSST-1) and exfoliative toxin A (ET A) were detected in 72 isolates by PCR associated genotypic method in this study, none of the isolates carried the genes for enterotoxin D (SED) and exfoliative toxin B (ETB). The occurrence rate of exotoxin genes rated as 12.5%, and the precision of the PCR identification results has been confirmed using the reference strains.

• Journal of the Korea Computer Industry Society
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• v.5 no.2
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• pp.235-242
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• 2004

As e-business being rapidly developed the importance of security is on the rise in network. Intrusion detection systems which are a core security system detect the network intrusion trial. As intrusions become more sophisticated, it is beyond the scope of any one IDS to deal with them. Thus we placed multiple IDS agents in the network and the information helpful for detecting the intrusions is shared among these agents to cope effectively with attackers. Each agent cooperates through the BBA (Black Board Architecture) and CNP (Contract Net Protocol) for detecting intrusions. In this paper, we propose the effective method comparing the blackboard architecture to contract net protocol.

• The Plant Pathology Journal
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• v.27 no.2
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• pp.120-127
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• 2011

While many isolates of Alternaria alternata are common saprophytes on trees and shrubs, this study clearly demonstrated that A. alternata is a primary pathogen in lilac (Syringa sp.), causing a leaf-blight that affects different Syringa species. Isolates of Alternaria sp. were collected from leaf blight samples of lilacs in the field. The internal transcribed spacer (ITS) region and morphological characterization were used to identify lilac blight pathogen. Based on 100% ITS nucleotide sequence identities to the Alternaria genus in the GenBank and morphological features, these isolates were identified as A. alternata. Disease symptoms were reproduced in lilac plants inoculated with A. alternata mycelial plugs and sprayed with a fungus-free culture filtrate, indicating that pathogenesis in lilac involves secondary metabolites or toxins. Diagnostic primers were developed to detect Alternaria sp. and A. alternata in lilac leaf blight based on ITS region and four known genes associated with pathogenesis in A. alternata: mixed-linked glucanase precursor, endopolygalacturonase, hsp70, and histone genes. The results from our study indicated A. alternata is a primary pathogen in lilac leaf blight, and these diagnostic primers can be used as a tool for the fast detection of A. alternata associated with lilac leaf blight.