• Physical Therapy Korea
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• v.27 no.2
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• pp.140-148
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• 2020

Background: Scapular winging (SW) could be caused by tightness or weakness of the periscapular muscles. Although data mining techniques are useful in classifying or predicting risk of musculoskeletal disorder, predictive models for risk of musculoskeletal disorder using the results of clinical test or quantitative data are scarce. Objects: This study aimed to (1) investigate the difference between young women with and without SW, (2) establish a predictive model for presence of SW, and (3) determine the cutoff value of each variable for predicting the risk of SW using the decision tree method. Methods: Fifty young female subjects participated in this study. To classify the presence of SW as the outcome variable, scapular protractor strength, elbow flexor strength, shoulder internal rotation, and whether the scapula is in the dominant or nondominant side were determined. Results: The classification tree selected scapular protractor strength, shoulder internal rotation range of motion, and whether the scapula is in the dominant or nondominant side as predictor variables. The classification tree model correctly classified 78.79% (p = 0.02) of the training data set. The accuracy obtained by the classification tree on the test data set was 82.35% (p = 0.04). Conclusion: The classification tree showed acceptable accuracy (82.35%) and high specificity (95.65%) but low sensitivity (54.55%). Based on the predictive model in this study, we suggested that 20% of body weight in scapular protractor strength is a meaningful cutoff value for presence of SW.

• Journal of Korean Neurosurgical Society
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• v.64 no.1
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• pp.69-77
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• 2021

Objective : Classification systems for cervical ossification of the posterior longitudinal ligament (OPLL) have traditionally focused on the morphological characteristics of ossification. Although the classification describes many clinical features associated with the shape of the ossification, including the concept of spondylosis seems necessary because of the similarity in age distribution. Methods : Patients diagnosed with OPLL who presented with increase signal intensity (ISI) on magnetic resonance imaging were surgically treated in our department. The patients were divided into two groups (pure versus degenerative) according to the presence of disc degeneration. Results : Of 141 patients enrolled in this study, more than half (61%) were classified into the degenerative group. The pure group showed a profound male predominance, early presentation of myelopathy, and a different predilection for ISI compared to the degenerative group. The mean canal compromise ratio (CC) of the ISI was 47% in the degenerative group versus 61% in the pure group (p<0.0000). On the contrary, the global and segment motions were significantly larger in the degenerative group (p<0.0000 and p=0.003, respectively). The canal diameters and global angles did not differ between groups. Conclusion : Classifying cervical OPLL based on the presence of combined disc degeneration is beneficial for understanding the disorder's behavior. CC appears to be the main factor in the development of myelopathy in the pure group, whereas additional dynamic factors appear to affect its development in the degenerative group.

• Geomechanics and Engineering
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• v.37 no.5
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• pp.475-498
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• 2024

The prediction of the susceptibility of soil to liquefaction using a limited set of parameters, particularly when dealing with highly unbalanced databases is a challenging problem. The current study focuses on different ensemble learning classification algorithms using highly unbalanced databases of results from in-situ tests; standard penetration test (SPT), shear wave velocity (V_s) test, and cone penetration test (CPT). The input parameters for these datasets consist of earthquake intensity parameters, strong ground motion parameters, and in-situ soil testing parameters. liquefaction index serving as the binary output parameter. After a rigorous comparison with existing literature, extreme gradient boosting (XGBoost), bagging, and random forest (RF) emerge as the most efficient models for liquefaction instance classification across different datasets. Notably, for SPT and V_s-based models, XGBoost exhibits superior performance, followed by Light gradient boosting machine (LightGBM) and Bagging, while for CPT-based models, Bagging ranks highest, followed by Gradient boosting and random forest, with CPT-based models demonstrating lower G_mean(error), rendering them preferable for soil liquefaction susceptibility prediction. Key parameters influencing model performance include internal friction angle of soil (ϕ) and percentage of fines less than 75 µ (F₇₅) for SPT and V_s data and normalized average cone tip resistance (q_c) and peak horizontal ground acceleration (a_max) for CPT data. It was also observed that the addition of V_s measurement to SPT data increased the efficiency of the prediction in comparison to only SPT data. Furthermore, to enhance usability, a graphical user interface (GUI) for seamless classification operations based on provided input parameters was proposed.

• Clinical and Experimental Pediatrics
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• v.45 no.9
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• pp.1097-1105
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• 2002

Purpose : This study was conducted to estabilish the prevalence, clinical features and relationship between ECG findings and echocardiographic findings of Wolff-Parkinsion-White(WPW) syndrome in asymptomatic preschool children. Methods : An electrocardiographic screening study was performed on 77,824 preschool children in Jeonbuk province from April, 1999 to August, 2001. Patients with WPW syndrome underwent echocardiographic study. Results : Twenty three patients with WPW syndrome were discovered by electrocardiographic screening of preschool children. The prevalence rate was 2.9 per 10,000 preschool children and there was no significant sexual difference. Two patients had a history of symptoms related to tachyarrythmia. According to the ECG classification of Rosenbaum et al., five patients were type A and 18 were type B. Utilizing the criteria of Gallagher et al, right anterior, 12 patients; right anteiror paraseptal, four patients; left anteiror, three patients. Nineteen of 23 patients underwent echocardiographic study. Four of five patients with type A WPW syndrome had abnormal early systolic anterior motion of left ventricular posterior wall. Twelve of 14 patients with type B had abnormal interventricular septal motion characterized by early sytolic posterior motion immediately after inscription of the delta wave. Conclusion : The prevalence rate of preschool children in Jeonbuk province was 2.9/10,000. By the classification according to the electrocardiographic findings, the accessory pathway location was dominant right side than left side. In the echocardiographic study, type A WPW syndrome showed abnormal left ventricular posterior wall motion and type B WPW showed abnormal interventricular septal motion.

• Journal of Korea Multimedia Society
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• v.22 no.12
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• pp.1457-1465
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• 2019

3D convolution is to stack multiple consecutive frames to form a cube, and then apply the 3D convolution kernel in the cube. In this structure, each feature map of the convolutional layer is connected to multiple adjacent sequential frames in the previous layer, thus capturing the motion information. However, due to the changes of pedestrian posture, motion and position, the convolution at the same place is inappropriate, and when the 3D convolution kernel is convoluted in the time domain, only time domain features of three consecutive frames can be extracted, which is not a good enough to get action information. This paper proposes an action recognition method based on feature fusion of 3D convolutional neural network. Based on the VGG16 network model, sending a pre-acquired optical flow image for learning, then get the time domain features, and then the feature of the time domain is extracted from the features extracted by the 3D convolutional neural network. Finally, the behavior classification is done by the SVM classifier.

• KIEAE Journal
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• v.16 no.3
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• pp.35-46
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• 2016

Purpose: This paper aims to analyse the composition system of architectural elements including shape, kinetic and material elements of kinetic facades and establish the design parameter system as a common conceptual and practical knowledge sharing platform with mechanical and electrical experts. Method: This research has been conducted in a three steps. At first, 120 cases of external shading devices are analyzed and their classification criteria have been established. Secondly geometric, kinetic and material elements are categorized in a common kinetic facade coordinates system considering environmental effects and operation method, and the applicability of combination of each element are tested. Lastly core design parameters for each element have been established in a common office building installation coordinate. Result: Geometry elements are categorized into seven geometric shapes and kinetic elements is categorized into basic linear and rotational motion and combinational folding and rolling motion. The combined set of parameters for three elements composes the whole design parameters for architectural elements of kinetic façade. Design parameters of shape elements are composed of shape, installation and arrangement parameters; design parameters for kinetic elements are composed of axis and range parameters; and design parameters of material elements are composed of thermal, lighting and color parameters.

• Journal of International Academy of Physical Therapy Research
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• v.8 no.1
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• pp.1122-1127
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• 2017

The purpose of this case study was to identify the effects of posteroanterior (PA) mobilization on the cervical spine in a patient with chronic whiplash-associated disorder (WAD). The subject of this study was a 58-year-old woman who sustained a chronic WAD as a result of a motor vehicle accident two years prior. The subject has progressively worsening neck pain and stiffness. The subject was determined to have a grade IIb WAD the use of the Modified Quebec Classification. The intervention was central and unilateral PA mobilization on the spinous process of C4 and C5. The PA mobilizations were performed at the end of range to Maitland grade IV. The PA mobilization was conducted once daily for a total of eight days. Two sets of measurements were done one before and one after the intervention. Neck pain, cervical stiffness, range of motion and lordosis of the cervical spine were measured. Experimental intervention decreased the neck pain, and increased the neck stiffness and cervical ROM (range of motion) such as flexion, extension, lateral flexion and rotation. X-ray photographs also represented that cervical curvature increased from $35^{\circ}$ to $40^{\circ}$. This study suggested that PA cervical mobilization applied to hronic WAD is effective in decreasing pain, increasing cervical ROM and cervical curvature.

• Progress in Superconductivity
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• v.3 no.1
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• pp.56-59
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• 2001

We have constructed a multi-channel SQUID magnetometer system for localization and classification of magnetic targets. Ten SQUID magnetometers were arranged to measure 5 independent components of 3 $\times$ 3 magnetic field gradient tensor. To get gradient from the difference of magnetic field measurements, we carefully balanced magnetometers. SQUIDs with slotted washer were used for operation in an unshielded laboratory environment, and noise characteristic in the laboratory was measured. With the multi-channel SQUID magnetometer system, we have successfully traced the motion of a bar magnet moving around it at a distance of about 1 m. In the urban environment, the drift of uniform magnetic field due to the irregular motion of a large magnetic body at distance and earth field causes an error in the position calculation, and this results in the distortion of the calculated trajectory. In this paper, we present the architecture and the performance of the system.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.21-26
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• 2009

A sensor system capable of automatically recognize activities would allow many potential Ubiquitous applications. This paper presents a new system for recognizing the activities of daily living(ADL) like walking, running, standing, sitting, lying etc. The system based on the state-dependent motion analysis using Tri-Accelerometer and Zigbee tag. Two accelerometers are used for the classification of body and hand activities. Classification of the environment and instrumental activities is performed based on the hand interaction with an object ID using.

• Journal of Yeungnam Medical Science
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• v.20 no.2
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• pp.177-186
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• 2003

Background: Clinical and radiological results based on fracture types and associated injuries after the treatment of tibial plateau fracture were evaluated for analyzing prognostic factors. Materials and Methods: From June 1997 to June 2002, 50 cases were followed for at least 1 year. Mean age was 47.4 years, and mean follow period was 30.0 months. Fracture classification was performed by the Schatzker method. Clinical and radiological evaluation were performed by the Porter and Rasmussen method. Evaluation was based on degree of reduction and associated injuries, etc. Results: The most common cause of injury was traffic accident (37 cases, 74%), The common fracture types by Schatzker classification were type II (14 cases) and VI (12 cases). Methods of treatment were screw fixation (15 cases), plate and screw (21 cases), external fixator (5 cases), and conservative treatment (9 cases). The most common associated injuries were ipsilateral fibular fracture (18 cases) and MCL (medial collateral ligament) injury (8 cases). Conclusion: Acceptable results after treatment of tibial plateau fracture were obtained from the anatomical reduction group, non-associated injury group, the young age group, and the early ROM (range of motion) beginning group.