• International Journal of Computer Science & Network Security
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• v.22 no.10
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• pp.1-10
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• 2022

Nowadays software defect prediction (SDP) is most active research going on in software engineering. Early detection of defects lowers the cost of the software and also improves reliability. Machine learning techniques are widely used to create SDP models based on programming measures. The majority of defect prediction models in the literature have problems with class imbalance and high dimensionality. In this paper, we proposed Centroid and Nearest Neighbor based Class Imbalance Reduction (CNNCIR) technique that considers dataset distribution characteristics to generate symmetry between defective and non-defective records in imbalanced datasets. The proposed approach is compared with SMOTE (Synthetic Minority Oversampling Technique). The high-dimensionality problem is addressed using Ant Colony Optimization (ACO) technique by choosing relevant features. We used nine different classifiers to analyze six open-source software defect datasets from the PROMISE repository and seven performance measures are used to evaluate them. The results of the proposed CNNCIR method with ACO based feature selection reveals that it outperforms SMOTE in the majority of cases.

• Smart Structures and Systems
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• v.29 no.1
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• pp.63-75
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• 2022

The raw data collected by structural health monitoring (SHM) systems may suffer multiple patterns of anomalies, which pose a significant barrier for an automatic and accurate structural condition assessment. Therefore, the detection and classification of these anomalies is an essential pre-processing step for SHM systems. However, the heterogeneous data patterns, scarce anomalous samples and severe class imbalance make data anomaly detection difficult. In this regard, this study proposes a convolutional neural network-based data anomaly detection method. The time and frequency domains data are transferred as images and used as the input of the neural network for training. ResNet18 is adopted as the feature extractor to avoid training with massive labelled data. In addition, the focal loss function is adopted to soften the class imbalance-induced classification bias. The effectiveness of the proposed method is validated using acceleration data collected in a long-span cable-stayed bridge. The proposed approach detects and classifies data anomalies with high accuracy.

• Safety and Health at Work
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• v.13 no.4
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• pp.469-474
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• 2022

Background: Nowadays, counter-productive work behaviors (CWBs) have turned into a common and costly position for many organizations and especially health centers. Therefore, the study was carried out to examine and compare the demand-control-support (DCS) and effort-reward imbalance (ERI) models as predictors of CWBs. Methods: The study was cross-sectional. The population was all nurses working in public hospitals in Hamadan, Iran of whom 320 were selected as the sample based on simple random sampling method. The instruments used were Job Content Questionnaire, Effort-Reward Imbalance Questionnaire, and Counterproductivity Work Behavior Questionnaire. Data were analyzed using correlation and regression analysis in SPSS18. Results: The findings indicated that both ERI and DCS models could predict CWB (p ≤ 0.05); however, the DCS model variables can explain the variance of CWB-I and CWB-O approximately 8% more than the ERI model variables and have more power in predicting these behaviors in the nursing community. Conclusion: According to the results, job stress is a key factor in the incidence of CWBs among nurses. Considering the importance and impact of each component of ERI and DCS models in the occurrence of CWBs, corrective actions can be taken to reduce their incidence in nurses.

• IEMEK Journal of Embedded Systems and Applications
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• v.18 no.2
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• pp.41-50
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• 2023

Gait analysis is an important tool in the clinical management of cerebral palsy, allowing for the assessment of condition severity, identification of potential gait abnormalities, planning and evaluation of interventions, and providing a baseline for future comparisons. However, traditional methods of gait analysis are costly and time-consuming, leading to a need for a more convenient and continuous method. This paper proposes a method for analyzing the posture of cerebral palsy patients using only smartphone videos and deep learning models, including a ResNet-based image tilt correction, AlphaPose for human pose estimation, and SmoothNet for temporal smoothing. The indicators employed in medical practice, such as the imbalance angles of shoulder and pelvis and the joint angles of spine-thighs, knees and ankles, were precisely examined. The proposed system surpassed pose estimation alone, reducing the mean absolute error for imbalance angles in frontal videos from 4.196° to 2.971° and for joint angles in sagittal videos from 5.889° to 5.442°.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.1
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• pp.49-54
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• 2024

Data imbalance is a common issue encountered in classification problems, stemming from a significant disparity in the number of samples between classes within the dataset. Such data imbalance typically leads to problems in classification models, including overfitting, underfitting, and misinterpretation of performance metrics. Methods to address this issue include resampling, augmentation, regularization techniques, and adjustment of loss functions. In this paper, we focus on loss function adjustment, particularly comparing the performance of various configurations of loss functions (Cross Entropy, Balanced Cross Entropy, two settings of Focal Loss: 𝛼 = 1 and 𝛼 = Balanced, Asymmetric Loss) on Multi-Class black-box video data with imbalance issues. The comparison is conducted using the I3D, and R3D_18 models.

• Journal of rehabilitation welfare engineering & assistive technology
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• v.7 no.2
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• pp.101-107
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• 2013

In this paper, we were to investigate effect of correction to muscle imbalance in lower limbs according to reduction of weight bearing methods of four point of horizontal shaft using two-belt treadmill. Participants were divided to two group according to each ten peoples who have difference of muscle function in left and right legs over 20%. Experiment progressed forty minutes a day three days a week, total four weeks and we estimated the maximal peak torque and average power for testing joint torque in hip, knee and ankle. The results showed that the correction effect of muscle imbalance to the maximal muscle strength was the most effective in hip joint. Also in knee joint, correction effect of muscular reaction was the most effective too. We thought that reduction of weight bearing methods could be positive effect to correct muscle imbalance in lower limbs.

• Journal of rehabilitation welfare engineering & assistive technology
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• v.9 no.1
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• pp.37-43
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• 2015

In this paper, an efficient system using 3-axis accelerometer is proposed to diagnose the gait imbalance. The proposed hardware system consists of two 3-axis accelerometers to measure 3 directional acceleration of ankles and an embedded system to transfer the data. The acquired data were normalized and then compared to analyze the symmetry between normal and abnormal gait with ROCC (ratio of correlation coefficient). 10 healthy subjects were participated and each subject repeated the experiment 5 times. To make unbalanced ambulation, the height of the heel of one foot was changed during experiments. From the results, it is verified that ROCC index grew apart from the reference according to growing imbalance and the proposed system could be available for estimation of gait imbalance.

• Journal of the Korean Institute of Landscape Architecture
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• v.35 no.6
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• pp.64-73
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• 2008

The purpose of this study is to classify urban green space, to assess an imbalance by an administrative district (Dong), and to establish the management zone of urban green spaces for the construction of an environmental city in Changwon. The spatial data of 1:5,000 digital maps, park data in Changwon, land cover by the Ministry of Environment, and IKONOS satellite images from 2003 were used for this analysis. The assessment of the imbalance of urban green spaces was analyzed with the Lorenz curve and Gini's coefficient. The establishment of the management zone was performed by network analysis of GIS. The results of this study are as follows: the urban green spaces were classified as a park green space, a natural green space, and a riparian green space. According to the results of assessment of the imbalance of green spaces, Gini's coefficient was analyzed at higher than 0.4. Thus, the spatial imbalance of urban green spaces in Changwon was evident. The management zones to solve the imbalance were established: "rich zone", "fair zone", "poor zone" and "broken zone". Therefore, the rich and fair zones which have rich green spaces must maintain the good conditions through analysis of the green network and a survey of civic attitudes. The poor and broken zones which have poor green spaces must improve quality and quantity through creation of additional green spaces, construction of an eco-industrial park, and utilization of children's parks and pocket parks.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.9 no.4
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• pp.542-551
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• 1998

In this study, a method of error compensation for channel gain imbalance, phase imbalance and local oscillator leakage in the modulator of frequency direct conversion is suggested. The compensation of channel imbalance can be carried out by using the received power after transmitting test signal. By applying this method, the phase imbalance conversion with frequency can be easily compensated since this method is rarely affected by the transmission channel. It is confirmed that the algorithm proposed in this study(iteration coefficient=11) converges faster than conventional algorithm(iteration coefficient=43). From the numerical results, the DC-offset, channel gain, phase imbalance compensation coefficient and iteration number converges into($f_1$=0.0199999, $f_2$=-0.050001, $C_{22}$=0.9133, $C_{12}$=-0.0524, N=13) when the local oscillator leakage is not considered. However, it converges into($f_1$=-0.02, $f_2$=-2.2476, $C_{22}$=0.9133, $C_{12}$=-0.0524, N=16) when the local oscillator leakage is considered.

• The Journal of Korean Academy of Orthopedic Manual Physical Therapy
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• v.15 no.1
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• pp.72-78
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• 2009

Purpose: to recognized that influence of decrease low back pain, change pelvic structure and balance control on unilateral weight bearing after application on pelvic manipulation which low back pain patient in unilateral weight bearing due to pelvic imbalance. Methods: The patient with low back pain in unilateral weight bearing due to pelvic imbalance was 39year female. one subject received intervention of pelvic manipulation on sidelying position and reaching exercise on sitting position which during 2 weak at the 3 time per a weak, each 30 minutes. outcomes measured were Facia l Action Coding System(FACS), Radiograph(Lumbar-Spine Anteroposterior AP.), Pressure Scan. Results: The results of this study were summarized below : 1. FACS score were Pre: min.4 - max.6 and Post: min.2 - max.4. 2. Radiograph measured Ilium width were Pre: Lt.14cm, Rt.12.7cm and Post: Lt.13.4cm, Rt.13cm which discrepancy of Ilium height were Pre: 1cm and Post: 0.2cm. 3. Pressure scan measured Pre: Lt. 36.8%, Rt.40.2% and Post: Lt.41.3%, Rt.36.2%. Conclusion: Pelvic manipulation applied a patient with low back pain in unilateral weight bearing due to pelvic imbalance suggest that can decrease low back pain, change pelvic structure and balance control on unilateral weight bearing.