• Toxicological Research
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• v.24 no.4
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• pp.235-243
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• 2008

While in some instances, loss of diversity results from acute toxicity (e.g. major pollution incidents), in most cases it results from long-term sub-lethal effects that alter the relative competitive ability and fitness of certain organisms. In such cases the sub-lethal effects will cause a physiological response in the organism that ultimately leads to community level changes. Very sensitive tools are now available to study sub-lethal responses at the molecular level. However, relating such laboratory measurements to ecological effects represents a substantial challenge that can only be met by investigation at all scales (molecular, individual organism and community level) with an appropriate group of organisms. Among the various in vertebrates which can be used as model organisms in such a way, the soil nematode, Caenorhabditis elegans appear to be a promising biological model to diagnose environmental quality. This paper reviews the current status of multilevel biomarkers in environmental toxicology, and C. elegans as promising organisms for this approach.

• Pediatric Gastroenterology, Hepatology & Nutrition
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• v.12 no.sup1
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• pp.77-84
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• 2009

Pediatric dysphagia comes from disturbances in swallowing process, which has 'preparatory phase', 'oral phase', 'pharyngeal phase', and 'esophageal phase', and mainly the causes are neuro-muscular discoor-dination. It is necessary to recognize clinical manifestation if they have accompanied organic disorder and diagnose accurately. Videofluoroscopic study evaluation is a valuable method to find out abnormal swallowing mechanism at each phases. Treatment should be diagnosis specific, and multidisciplinary team approach is desirable. We can use various behavioral techniques to facilitate normal swallowing mechanism including conditioning of oral and pharyngeal structures, bolus manipulation, postural compensation, and adaptive feeding utensils. Important point is that the diagnosis and treatment for pediatric dysphagia should not be delayed because children are under development.

• Journal of the Korean Society for Precision Engineering
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• v.15 no.1
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• pp.19-25
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• 1998

Remote fault diagnosis and maintenance system using general telecommunication network is necessary for an effective fault diagnosis and higher productivity of NC machine tools. In order to monitor machine tool condition and diagnose alarm states due to electrical and mechanical faults, a remote data communication system for monitoring of NC machine fault diagnosis and status is developed. The developed system consists of (1) remote communication module among NC's and host PC using PSTN. (2) 8 channels analog data sensing module, (3) digital I/O module for control or NC machine, (4) communication module between NC machine and remote data communication system via RS-232C, and (5) software man-machine interface. Diagnostic monitoring results generated through a successive type inference engine are displayed in user-friendly graphics. The validity and reliability of the developed system is verified to be a powerful commercial version on a vertical machining center through a series of experiments.

• Proceedings of the Technology Innovation Conference
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• 2000.06a
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• pp.65-83
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• 2000

In this study, we propose an expert system aided model necessary for extracting the rules, which can diagnose the success level of new product development project. For this purpose, first, we design a classification model to analyze the characteristics of $\ulcorner$parts development projects$\lrcorner$. Second, in order to select success factors, we explore literatures and interview with project managers working at large sized companies of electronic parts. And we conduct the enquete survey and statistical analysis to extract key success factors. Third, in order to decide the level of project success, we use the concept of 'Recearchitivity' as a framework of judgement criteria. Fourth, in order to extract diagnosis rules, we use expert system development tool.

• Proceedings of the Korean Society for Technology of Plasticity Conference
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• 2004.08a
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• pp.101-108
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• 2004

It is very important to diagnose state of knife and strip cutting face in real time in the side trimming process due to improvement of quality of trimming face. In this study, diagnosis system for knife and strip cutting face was developed. CCD camera was installed at the both side of strip in the entry of burr masher roll. This system offer to operator the diagnosis result that was analyzed image obtained from CCD camera. As a result, bad quality of trimming face is decreased below 1/10 and knife breakage is detected $100\%$.

• Journal of Veterinary Clinics
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• v.11 no.1
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• pp.479-484
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• 1994

An English Bulldog 4 years old, Queen was hospitalized three weeks after mating as anorexia, decreased activity, hamorrhagic pus like vaginal discharge, and high fever. It was very difficult to diagnose by clinical signs and clinical pathological findings, at the first. Eenlarged uterus cavity, fluid accumulation in uterus was clearly identified by radiography and ultrasonography. The results suggest that X-ray and ultrasound is very important diagnostic method for pyometra to know disease progress.

• Proceedings of the Korean Society of Veterinary Pathology Conference
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• 2003.10a
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• pp.39-39
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• 2003

Balantidiasis is an infectious disease worldwide which is produced by a protozoan Balantidium coli. This single-celled organism is characterized by their large size ranging from 50 $\mu\textrm{m}$ to more than 500 $\mu\textrm{m}$ [1] which indicated by the presence of cilia on its cell surface. The parasite occurs in the lumen of cecum and colon of swine, humans and nonhuman primates as commensal, but can turn opportunist and invade injury tissues by other diseases [2]. It is difficult to diagnose the disease clinically since they are asymptomatic [3]; and can be complicated with other disease or parasitism. Here we report the incidental findings of Balantidiasis in the lymphatic ducts of gastric lymph node of Barbary sheep (Ammotragus lervia). (omitted)

• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.28 no.2
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• pp.144-150
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• 1992

This paper describes an application of artificial neural network to diagnose the defects of rotating machiner. Induction motor was used to the object of defect diagnosis. For defect diagnosis, the frequency spectrum of vibration was utilized. Learning method of applied neural network was back propagation. Neural network has following advantage; Once it has been learned, inference time is very short and it can provide a reasonable conclusion regardless of insufficient input data. So, this defect diagnosis system can be used superiorly to rule based expert system as quality inspection of rotating machinery in the shop.

• The Journal of the Korean dental association
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• v.55 no.8
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• pp.565-573
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• 2017

Root canal perforations are defined as the communication between the pulp cavity, the periodontal tissue and alveolar bone. The occurrence of perforations during endodontic treatment is reported to range from 2.3%~12%, which is not a complication rarely happens. Perforations have iatrogenic or pathological etiologies that involve caries or resorption. It leads to inflammation and the destruction of periodontal fibers and alveolar bone, followed by periodontal defects. Mineral trioxide aggregate (MTA) is currently the most indicated material for repair of root perforation, because of its favorable biocompatibility and sealing ability. Using magnification with dental operating microscope enhance the accessibility and visibility to manage the root perforation. It is important to diagnose and repair perforations immediately if possible.

• Journal of Institute of Control, Robotics and Systems
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• v.8 no.10
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• pp.851-855
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• 2002

This paper proposes a method of fault detection and diagnosis of agitators based on the wavelet analysis of the current and vibration signals. The wavelet transform has received considerable interest in the fields of acoustics, communication, image compression, vision. and seismic since it provides the fast and effective means of analyzing signals recorded during operation. Neural network is used to diagnose the fault. Specifically, the proposed approach consists of (i) fault detection, (ii) feature extraction, and (iii) classification of fault types. The results show an effective application of the wavelet analysis on the monitoring of an agitator.