• Journal of Korean Foot and Ankle Society
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• v.20 no.1
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• pp.1-5
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• 2016

Flatfoot is defined as loss of medial arch with hindfoot valgus, but normal condition is obscure due to wide individual variance. Loss or decreasing of medial longitudinal arch with radiographic image is clinically diagnosed as flatfoot. Flatfoot without symptoms is not an indication for treatment. The etiologies of flatfoot are congenital cause, hypermobility, tarsal coalition, neuromuscular disease, post-traumatic deformity, Charcot arthropathy, and posterior tibial tendon dysfuction. The flatfoot is classified as congenital and acquired, flexible, and rigid. The diagnosis is made by physical examination and radiographic findings. In particular, the posterior tibial tendon dysfunction is known as adult acquired flatfoot.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.23 no.6
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• pp.624-629
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• 2014

The purpose of this study is to carry out the task of engine hesitation which occurred intermittently in driving due to the defective CKPS of LPI vehicles. As the result of the wrong data from the equipment of D-logger, the signal error of CKPS caused the engine hesitation. We performed a study in the followings to analyze and investigate the cause effectively. First, we have investigated the control wiring harness and connector pin contact defect inspection. Second, we have inspected the defection of CKPS separately. From this study, it was found that the engine hesitation were caused by the bad durability and we have showed how to diagnosis the fault of the engine hesitation intermittently while driving. Therefore, it is determined that we have to improve the durability of the CKPS through a strict quality control and to increase the reliability.

• Genomics & Informatics
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• v.17 no.3
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• pp.30.1-30.4
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• 2019

Neuroblastoma is a major cause of cancer death in early childhood, and its timely and correct diagnosis is critical. Gene expression datasets have recently been considered as a powerful tool for cancer diagnosis and subtype classification. However, no attempts have yet been made to apply deep learning using gene expression to neuroblastoma classification, although deep learning has been applied to cancer diagnosis using image data. Taking the International Neuroblastoma Staging System stages as multiple classes, we designed a deep neural network using the gene expression patterns and stages of neuroblastoma patients. Despite a small patient population (n = 280), stage 1 and 4 patients were well distinguished. If it is possible to replicate this approach in a larger population, deep learning could play an important role in neuroblastoma staging.

• Tuberculosis and Respiratory Diseases
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• v.73 no.2
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• pp.77-83
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• 2012

Pneumonia is the cause of significant morbidity and mortality, despite advances in diagnosis and antibacterial treatment. Pneumonia is often misdiagnosed and mistreated up until recently. Recent classification of pneumonia consists of community-acquired pneumonia, health care-associated pneumonia, hospital-acquired pneumonia, and ventilator-associated pneumonia. The etiology, risk factors, and treatment are different among them. This article briefly introduces new concepts and ideas in biomarkers, diagnosis, treatment, prognosis, and prevention of pneumonia during the past 2 years. One of the most frequent subjects of recent papers was those about pandemic H1N1 in 2009.

• KIEE International Transactions on Power Engineering
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• v.4A no.3
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• pp.152-158
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• 2004

The passive filter is economic and efficient in suppressing harmonics but it may cause resonance problems and its performance is constantly dependent on power system impedance or working conditions of loads. This paper presents the DSP (Digital Signal Processor)-based control system, which automatically controls the passive filter in order to solve these problems. The control system can automatically control the passive filter according to working conditions of loads and measured harmonics, reactive power, power factor and so on. Experimental results in the power system using the 100HP DC motor drive are presented in order to verify the performance of the control system.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.61 no.4
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• pp.228-233
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• 2012

In power system, substation facilities have become too complex and larger according to an extended power system. Also, customers require the high quality of electrical power system. However, some facilities become old and often break down unexpectedly. The unexpected failure may cause a break in power system and loss of profits. Therefore it is important to prevent abrupt faults by monitoring the condition of power systems. Among the various power facilities, power transformers play an important role in the transmission and distribution systems. In this research, we develop intelligent diagnosis technique for monitoring of power transformer by FCM(Fuzzy c-means) and ELM(Extreme Learning Machine). The proposed technique make it possible to diagnosis the faults occurred in transformer. To demonstrate the validity of proposed method, various experiments are performed and their results are presented.

• Maxillofacial Plastic and Reconstructive Surgery
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• v.17 no.3
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• pp.302-308
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• 1995

It is very difficult to differentiate the malignant tumor from the maxillofacial infections that have unclear cause, severe indurated swelling, pain and nonresponsiveness to antibioitic treatment and incision and drainage. Incisional biopsy, CT, and MRI examination may not distinguish between infection and a malignant tumors. And then, the clinicians can make a mistake that they perform a unnecessary radical surgery because of inaccurate diagnosis. We present three case reports of maxillofacial infectious disease with diagnosis process, treatment and differential diagnosis. The infectious disease were not resolved with antibiotic and surgical drainage. The progression of clinical sign and radiographic, indings of these disease were masqueraded as malignant tumors.

• Annals of Clinical Neurophysiology
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• v.22 no.2
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• pp.75-81
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• 2020

This paper introduces new diagnostic criteria and differential diagnosis of orthostatic dizziness to help clinicians to diagnose hemodynamic orthostatic dizziness. Clinicians need to be able to discriminate hemodynamic orthostatic dizziness from other types of dizziness that are induced or aggravated when standing or walking. Measurements of the orthostatic blood pressure and heart rate are important when screening hemodynamic orthostatic dizziness. Detailed history-taking, a physical examination, and laboratory tests are essential for finding the cause of hemodynamic orthostatic dizziness. The differential diagnosis of hemodynamic orthostatic dizziness is crucial because it can be caused by various autonomic neuropathies.

• Journal of Korean Foot and Ankle Society
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• v.18 no.3
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• pp.87-92
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• 2014

Acquired adult flatfoot is a deformity characterized by a decreased medial longitudinal arch and a hindfoot valgus with or without forefoot abduction. The etiologies of this deformity include posterior tibial tendon dysfunction, rheumatoid arthritis, trauma, Charcot's joint, neurologic deficit, and damage to the medial spring ligament complex or plantar fascia. Among these, posterior tibial tendon dysfunction is the most well-known cause. Although posterior tibial tendon dysfunction has been regarded as a synonym of acquired adult acquired flatfoot, failure of the ligaments supporting the arch can also result in progressive deformity even without a posterior tibial tendon problem. The authors describe the pathophysiology, diagnosis, and nonoperative treatment of acquired adult flatfoot, focusing on posterior tibial tendon dysfunction.

• KIEE International Transactions on Power Engineering
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• v.5A no.1
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• pp.40-45
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• 2005

Substation facilities have become extremely large and complex parts of electric power systems. The development of condition monitoring and diagnosis techniques has been a very significant factor in the improvement of substation transformer security. This paper presents a method to analyze the cause, the degree, and the aging process power transformers by the Self Organizing Map (SOM) method. Dissolved gas data were non-linearly transformed by the sigmoid function in SOM that works much the same way as the human decision making process. The potential for failure and the degree of aging of normal transformers are identified by using the proposed quantitative criterion. Furthermore, transformer aging is monitored by the proposed criterion for a set of transformers. To demonstrate the validity of the proposed method, a case study is performed and its results are presented.