• Journal of Information Processing Systems
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• v.13 no.6
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• pp.1527-1543
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• 2017

MiRNA is a biological short sequence, which plays a crucial role in almost all important biological process. MiRNA patterns are common sequence segments of multiple mature miRNA sequences, and they are of significance in identifying miRNAs due to the functional implication in miRNA patterns. In the proposed approach, the primary miRNA patterns are produced from sequence alignment, and they are then cut into short segment miRNA patterns. From the segment miRNA patterns, the candidate miRNA patterns are selected based on estimated probability, and from which, the potential miRNA patterns are further selected according to the classification performance between authentic and artificial miRNA sequences. Three parameters are suggested that bi-nucleotides are employed to compute the estimated probability of segment miRNA patterns, and top 1% segment miRNA patterns of length four in the order of estimated probabilities are selected as potential miRNA patterns.

• Journal of the Korea Society of Computer and Information
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• v.7 no.3
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• pp.49-55
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• 2002

This paper proposes speaker recognition algorithm which includes both the pitch parameter and the fuzzy. This study proposes a pitch detection method for the peak and valley pitch detection function by means of comparing spectra which utilizes the transform characteristics between time and frequency. It measures the similarity to the original spectrum while arbitrarily varying the period in the time domain. It heavily weights the error due to the changing characteristics of the phonemes, while it is strong against noise. In this paper, makes reference pattern using membership function and performs vocal track recognition of common character using fuzzy pattern matching in odor to include time variation width for non-linear utterance time.

• Journal of the Korea Society of Computer and Information
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• v.5 no.3
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• pp.51-57
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• 2000

This paper proposes speaker recognition algorithm which includes both the pitch and the fuzzy. This study proposes a pitch detection method for the peak and valley pitch detection function by means of comparing spectra which utilizes the transform characteristics between time and frequency. It measures the similarity to the original spectrum while arbitrarily varying the period in the time domain. It heavily weights the error due to the changing characteristics of the phonemes, while it is strong against noise. In this paper, makes reference pattern using membership function and performs vocal track recognition of common character using fuzzy pattern matching in order to include time variation width for non-linear utterance time.

• Progress in Superconductivity and Cryogenics
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• v.23 no.4
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• pp.49-55
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• 2021

The Cable in Conduit Conductor (CICC) configurations are designed, tested and realized to make high field superconducting (SC) magnets. The evolution of CICC design makes it challenging to forecast thermo-hydraulic behavior. A common objective of thermo-hydraulic studies is to obtain the most reliable predictive correlation for friction factor in CICC geometries and to reduce the dependency on the experiment. So far, only the void fraction and Reynolds number have been considered in the predictive correlations in an explicit way. In the present paper, the CICC twisting pattern dependency, called tortuosity (τ), on the pressure drop prediction, has been assessed through a numerical simulation approach. The CICC twisting pattern with 6+1 petals (solid conductor in the present study) with different twisting pitches is mimicked in the numerical simulation for the range 100 ≤ Re ≤10000 and 1 < τ < 1.08 and a correlation for friction factor, f, has been proposed as a function of Re and τ.

• Anatomy and Cell Biology
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• v.51 no.4
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• pp.302-304
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• 2018

Prior knowledge of arterial supply to the head and neck is of substantial importance for well-planned surgeries involving the concerned region. We are reporting an unusual and rare variation in the branching pattern of external carotid artery in a 60-year-old female cadaver. A common trunk known as thyrolinguofacial trunk, originating from the anterior surface of the external carotid artery (right and left) giving of superior thyroid artery and a linguofacial trunk during a routine neck dissection. The linguofacial trunk then divided into a lingual and a facial artery. Vascular abnormalities are usually detected either on the dissection table or by the radiologists during imaging or accidently during surgeries leading to serious consequences.

• The Journal of the Korean dental association
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• v.57 no.6
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• pp.344-351
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• 2019

Skeletal Class III malocclusion is a relatively common form of malocclusion in Korea. In borderline cases where only mild skeletal discrepancy exists and if worsening of the facial profile is expected as a result of premolar extraction, mandibular full arch distalization with miniscrews is the treatment of choice. The purpose of this study was to investigate the pattern of tooth movement and evaluate the stability of mandibular full arch distalization and to identify correlation between stability and factors such as initial skeletal pattern, dental changes during treatment and alveolar bone in symphysis region using lateral cephalograms.

• Journal of Yeungnam Medical Science
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• v.39 no.2
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• pp.172-177
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• 2022

Takotsubo or reverse Takotsubo cardiomyopathy is a well-known cardiac complication of subarachnoid hemorrhage (SAH) that shows transient left ventricular wall motion abnormalities with electrocardiogram (ECG) changes. ST change followed by T inversion is a common ECG finding complicated with these disorders, left bundle branch block (LBBB) may be a potential ECG pattern which is seen. In this case, we describe the clinical profile and outcomes of a patient with LBBB and reverse Takotsubo cardiomyopathy after anesthetic induction, which was scheduled as an emergent external ventricular drainage after SAH. This is the first report of an LBBB pattern in reverse Takotsubo cardiomyopathy.

• Korean Journal of Head & Neck Oncology
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• v.20 no.1
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• pp.24-28
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• 2004

Background and Objectives: Salivary gland tumors are relatively rare and constitute 3% to 4% of all head and neck neoplasms. Their relative infrequency, inconsistent classification, and highly variable biologic behavior make some difficulty, but some general features can be drawn regarding the incidence, pathology, and pattern of behavior of the various benign and malignant tumors of salivary glands. The present study aims to provide a clinical characteristics of salivary gland tumors. Materials and Methods: We analyzed retrospectively clinical features of the 138 patients who were treated surgically at Chonbuk National University Hospital from 1992 through 2002. Results: We found 107 benign and 31 malignant tumors. Among the patients, 58 were males and 80 were females. The most common age group was the fifties. The most common site of both benign and malignant was parotid gland in major salivary glands and palatal region in minor salivary glands. The most common presenting symptom was palpable mass in both benign and malignant tumor. Histopathologically, the most common type was pleomorphic adenoma in benign tumor and mucoepidermoid carcinoma in malignant tumor. All cases were treated surgically and the most common postoperative complications was transient facial nerve weakness. Conclusion: 138 cases of salivary gland tumors were presented with respect to their clinical features.

• Archives of Plastic Surgery
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• v.35 no.3
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• pp.289-294
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• 2008

Purpose: The nasal bone fracture is known as the most common facial fracture. Several authors reported the classification of nasal bone fracture. Stranc classified the type of nasal fractures based on a pattern of impaction and level of injuries. Stranc classification proposed here is based on careful clinical observation and relates to both treatment and prognosis. The aim of this study is to determine any predictive value to the preoperative classification of nasal fracture, using the description by Stranc and Robertson. Methods: We reviewed 310 patients with nasal bone fracture treated at our hospital for last two years. Results: Lateral impact type of nasal bone fracture predominated more than frontal impact in the ratio of 2.3:1. The most common type of Stranc classification was lateral impact plane I(48.4%). Male predominated more than female in the ratio of 3:1. The most frequent age group was first decade(27.1%), second decade in frontal impact(30.5%), first decade in lateral impact (30.7%). The most common etiology was violence (31.3%) followed by slip down(21.3%), and traffic accident(18.1 %).The most common associated fracture was orbital(22.9%) followed by zygoma(10%), and maxilla (6.1%). The most common complication was septal deviation(20.0%) in frontal impact, and nasal deformity (26.0%) in lateral impact. The incidence of nasal deformity in lateral impact(26.0%) was more higher than frontal impact(15.8%) Conclusion: By assessing the pathomechanics and resultant degree of injury to the nasal skeleton, a better understanding of the treatment plan and prognosis was obtained. Using this information, satisfactory informed patient consent can be obtained.

• The KIPS Transactions:PartC
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• v.10C no.7
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• pp.857-866
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• 2003

For detecting an intrusion based on the anomaly of a user's activities, previous works are concentrated on statistical techniques in order to analyze an audit data set. However. since they mainly analyze the average behavior of a user's activities, some anomalies can be detected inaccurately. In this paper, a new clustering algorithm for modeling the normal pattern of a user's activities is proposed. Since clustering can identify an arbitrary number of dense ranges in an analysis domain, it can eliminate the inaccuracy caused by statistical analysis. Also, clustering can be used to model common knowledge occurring frequently in a set of transactions. Consequently, the common activities of a user can be found more accurately. The common knowledge is represented by the occurrence frequency of similar data objects by the unit of a transaction as veil as the common repetitive ratio of similar data objects in each transaction. Furthermore, the proposed method also addresses how to maintain identified common knowledge as a concise profile. As a result, the profile can be used to detect any anomalous behavior In an online transaction.