• Korean Journal of Veterinary Research
• /
• v.34 no.2
• /
• pp.315-320
• /
• 1994

The API STAPH-IDENT system was evaluated as a means for identifying Staphylococcus hyicus subsp hyicus straints isolated from swine and poultry. Of 80 strains from swine, 68 (85%) were correctly identified by the API STAPH-IDENT system alone after 5 h of incubation. When results were determined after 24 h of incubation, the accuracy of this system alone was 93.8%. By additional tests in conjunction with the API STAPH-IDENT system, however, all 80 strains could be correctly identified. Of 120 strains from poultry, 87 (72.5%) required additional testing to achieve a correct identification, and 33 (27.5%) were incorrectly identified by this system after 5 h of incubation. After 24 h of incubation, 99 of 120 (82.5%) avian strains were incorrectly identified as Staph epidermidis owing to false-negative mannose and trehalose utilizations. Seventy-seven (96.3%) of swine strains were positive for ${\beta}-glucuronidase$, whereas all 120 strains recovered tram poultry were negative for it.

• IEMEK Journal of Embedded Systems and Applications
• /
• v.16 no.3
• /
• pp.89-97
• /
• 2021

Voice interface can not only make daily life more convenient through artificial intelligence speakers but also improve the working environment of the factory. This paper presents a voice-assisted work management system that supports both speech and speaker recognition. This system is able to provide machine control and authorized worker authentication by voice at the same time. We applied two speech recognition methods, Google's Speech application programming interface (API) service, and DeepSpeech speech-to-text engine. For worker identification, the SincNet architecture for speaker recognition was adopted. We implemented a prototype of the work management system that provides voice control with 26 commands and identifies 100 workers by voice. Worker identification using our model was almost perfect, and the command recognition accuracy was 97.0% in Google API after post- processing and 92.0% in our DeepSpeech model.

• Korean Journal of Veterinary Research
• /
• v.36 no.3
• /
• pp.657-663
• /
• 1996

The API STAPH system was compared with conventional methods for identification of 214 strains of Staphylococcus hyicus subsp. hyicus isolated from cases of exudative epidermitis in piglets, skin of healthy pigs, skin of healthy chickens and bovine intramammary infections, and biochemical characteristics among the swine, avian and bovine strains were also compared. All of the swine and bovine strains produced acid within 24 hours from fructose, lactose and trehalose by conventional methods, but some of the avian strains showed a delayed positive reaction in these carbohydrates. These delayed positive strains in conventional methods gave usually negative results for them in the API STAPH system. With the API STAPH system, eighteen different profile numbers were encountered in 214 strains of swine, avian and bovine origin. The swine and bovine strains, respectively, were distributed among 4 profiles, while the avian strains were distributed among 17 profiles. The profile number observed most frequently in the strains of each animal species was uniformly 6 516 153. By conventional methods, approximately 96% of the swine strains were positive for ${\beta}$-glucuronidase, but not in any strains from chickens and cattle. For hyaluronidase production determined by degradation of sodium hyaluronidate in a solid culture medium, all the swine and bovine strains were positive, but only 37.5% of the avian strains were positive for it. From these findings, there were differences in the production of extracellular active substances between swine strains of Staphylococcus hyicus subsp. hyicus and those isolated from chickens and cattle.

• Korean Journal of Veterinary Service
• /
• v.20 no.1
• /
• pp.37-45
• /
• 1997

The result of API staph-ident system was compared with cellular fatty acid composition for the identification of Staphylococcus species isolated from cattle. Isolated strains from cattle were correctly identified to S aureus, S intermedius, S hyicus, S simulans, S saprophyticus, S epidemis, S sciuri and S xylosus by API staph-ident system. The correlation between bacterial cellular fatty acid profile and Staphylococcus species isolated to API STAPH-IDENT system were. In conclusion, the result presented indicate that Staphylococci can be indentified to the species level by the cellular fatty acid profiles. Moreover, computerized fatty acid profile correlative anaylsis can be applied for determining identify of Staphylococcus species.

• IE interfaces
• /
• v.8 no.3
• /
• pp.249-257
• /
• 1995

Expert system is an effective approach for quality system to be automated and thus to be an essential integrating mechanism in any move towards CIM(Computer Integrated Manufacturing). A quality control expert system is introduced and its relationship to CIM is illustrated in a case study. Process control expert system developed by Kim and Sin[6] has been improved via ODBC(Open DataBase Connectivity) for efficient information network, graph representation using Windows API for rapid response and some new rules for identification of patterns in control charts.

• Korean Journal of Food Science and Technology
• /
• v.32 no.6
• /
• pp.1331-1335
• /
• 2000

The WL6 strain isolated from Kimchi could not be made scientific name because it was identified as three species, i.e., Leuconostoc mesenternides ssp cremoris, Leu. mesenteroides ssp. dextranicum or Lactobacillus bifermentans when it was tested by API kit or Biolog system methods. The unidentifiable WL6 strain was finally reclassified as Lactobacillus bifermentans by genetic identification using two PCR-based specific sequence primer sets which were originated from homologous pepN and 16S rRNA genes.

• Journal of Information Technology Services
• /
• v.9 no.4
• /
• pp.207-217
• /
• 2010

This paper is concerned with a protection system for the mentally handicapped, which is utilizing a GPS receiver and mobile communications. The protection system consists of a location notification equipment, a location identification and management server, and a cell phone of guardian. The location notification equipment is made up of a GPS receiver, a CDMA communication module and a microprocessor. The equipment transfers the location of the mentally impaired to the location identification and management server when the handicapped gets out of a certain bound of the designated facility. The server marks the handicapped's location on the map in the server and also notifies the guardian's cell phone of the locations. With applying the proposed protection system to social welfare organizations related to the mentally handicapped, it is expected to efficiently contribute to the promotion of the handicapped's welfare.

• Journal of KIISE:Software and Applications
• /
• v.31 no.9
• /
• pp.1226-1232
• /
• 2004

Biometric authentication is rising technology for the security market of the next generation. But most of biometric systems are developed using only one of various biological features. Recently, there is a vigorous research for the standardization of various biometric systems. In this paper, we propose a web-based authentication system using three other verifiers based on functional, parametric, and structural approaches for one biometrics of handwritten signature, which is conformable to a specification of BioAPI introduced by BioAPI Consortium for a standardization of biometric technology. This system is developed with a client-server structure, and clients and servers consist of three layers according to the BioAPI structure. The proposed neb-based multiple authentication system of one biometrics can be used to highly increase confidence degree of authentication without additional several biological measurements, although rejection rate is a little increased. That is, the false accept rate(FAR) decreases on the scale of about 1:40,000, although false reject rate(FRR) increases about 2.7 times in the case of combining above three signature verifiers. So the proposed approach can be used as an effective identification method on the internet of an open network. Also, it can be easily extended to a security system using multimodal biometrics.

• Journal of fish pathology
• /
• v.20 no.1
• /
• pp.49-60
• /
• 2007

Non-hemolytic Streptococcus parauberis isolated from diseased olive flounder, Paralichthys olivaceus in the South coast of Korea were identified by physiological, biochemical and genetic analysis in order to define the different characteristics geographically. First, twelve strains of S. parauberis were isolated from catalase-negative gram-positive cocci by multiplex PCR assay. Phenotypic identifications were performed with commercially available kit (API 20 Strep and API ZYM system). Analysis of API profiles of the isolates showed that strains were identified as either of Lactococcus lactis, S. constellatus or S. uberis. Moreover, S. parauberis isolated from olive flounder differed from that of turbot (X89967) to the test of not Voges-Proskauer, arginine, hippurate, alkiline phosphatase and pyrroidonyl arylamidase but β-glucuronidase. All S. parauberis isolates were sensitive to florfenicol, ampicillin, ofloxacin and vancomycin but were resistant to oxolinic acid, flumequine, nalidixic acid and sulfisoxazol. However, the 16S rDNA sequences of the isolates showed 99% similarity to S. parauberis KCTC 3651 (AY584477) and a great homogenecity among the flounder isolates.

• Microbiology and Biotechnology Letters
• /
• v.23 no.5
• /
• pp.580-587
• /
• 1995

In order to produce the bacteriolytic enzyme, bacterial strains capable of excreting a large amount of the enzyme were screened from the coastal sea water samples in Pusan. The bacterial strain SH-1, which showed the highest activity among 43 bacteriolytic enzyme producing bacteria, was finally selected for further studies. The strain SH-1 was an endospore-forming grampositive rod, and the position of spore was paracentral. These morphological characteristics assigned the isolated strain to the morphological group I classified by Gordon. The fatty acid composition of the bacterial stain was analyzed to be consisted of branched chains of iso-Cn and anteiso-Cn. Based on the percent content of the branched chain (93.85%), the isolates could be identified as a species of Bacillus. According to the experimental results of the API system (API 50CHB & API 20E) the strain was identified as Bacillus subtilis. Numerical texonomy, in which 82 major characters were examined using several species of Bacillus as the standard bacteria, indicated that the strain SH-1 showed 90% similarity to Bacillus subtilis. Thus, the isolated strain SH-1 could be identified as Bacillus subtilis.