• The Journal of Korean Physical Therapy
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• v.14 no.1
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• pp.117-124
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• 2002

Poor posture of the neck and head long been recognized as a factor contributing to the onset and perpetuation of pain in the head and neck region. The purposes of the study were to evaluate the changes in forward head posture and pressure pain threshold in tension type headache group and control group. Forward head posture were measured to craniovertebral angle and cranial rotation angle. Craniovertebral angle was smaller in tension type headache group(p<0.05), and cranial rotation angle was larger in tension type headache group(p<0.05). Pressure pain threshold was similar between tension type headache group and control group with the exception of right suboccipitalis and left temporalis(p<0.05).

• Journal of Institute of Control, Robotics and Systems
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• v.7 no.11
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• pp.962-966
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• 2001

The major problem at a branch point for point-to-multipoint available bit rate(ABR) services in asynchronous transfer mode (ATM) networks is how to consolidate backward resource management(BRM) cells from each branch for a multicast connection. In this paper, we propose an efficient feedback consolidation algorithm based on an adaptive dynamic threshold(ADT) to eliminate the consolidation noise and the reduce the consolidation delay. The main idea of the ADT algorithm lies in that each branch point estimates the ABR traffic condition of the network through the virtual queue estimation and the transmission threshold of the queue level in branch points is adaptively controlled according to the estimation. Simulation results show that the proposed ADT algorithm can achieve a faster response in congestion status and a higher link utilization compared with the previous works.

• Journal of Institute of Control, Robotics and Systems
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• v.6 no.11
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• pp.968-973
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• 2000

Fault diagnosis plays an important role in the performance and safe operation of many modern engineering plants. This paper investigates the problem of fault detection using neural networks in dynamic systems. A general framework for constructing a nonlinear fault detection scheme for nonlinear dynamic systems containing modeling uncertaintly is proposed. The main idea behind the proposed approach is to monitor the physical system with an off -line learning neural network and then to approximate the upper and lower thresholds of acceleration of the nominal system with the model-based threshold(ThMB) method, The performance of the proposed fault detection scheme is investigated through simulations of a pendulum with uncertainty.

• International Journal of Internet, Broadcasting and Communication
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• v.10 no.1
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• pp.48-60
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• 2018

The experiments were carried out during a total of nine sessions, that is, 3 sessions over 3 days. The CK levels decreased depending on the experiment session ($P{\leq}0.05$), but there was no significant difference ($P{\leq}0.05$) between the experimental group and the control group. Pressure threshold levels significantly decreased depending on the experiment session and the treatments had higher effects in the experimental group. VAS figures significantly decreased depending on the experiment session ($P{\leq}0.005$) and the treatments had higher effects in the experimental group. The results of this study verified the contention that applying vibration treatment immediately after inducing DOMS is more effective in terms of pressure pain threshold (PPT) and VAS, but not CK levels, than applying the treatment 24 hours after inducing DOMS. In addition, the experimental group showed a statistically significant difference compared to the control group. Therefore, it was concluded that applying vibration treatment immediately after inducing DOMS can be used as a DOMS treatment method.

• Journal of information and communication convergence engineering
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• v.5 no.3
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• pp.259-264
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• 2007

According to the development and wide use of broad band internet etc., diverse application technologies using large capacity data such as images have been progressed and in these systems, for accurate acquisition and precise applications of an original signal, the degradation phenomenon generated in the transmission process etc. should be removed. Noises have become known as the main cause of the degradation phenomenon and especially Gaussian noise represents characteristics occurring dependently in image signals and degrades detail information such as edge. In this paper, we removed Gaussian noise using a subdivided nonlinear function according to a threshold value and analyzed the histogram acquired from an edge image to establish a threshold value adaptively, and strengthened detail information of image by using the postprocessing. In simulation results, the proposed method represented excellent performance from comparison of MSE with existing methods.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.9
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• pp.2101-2108
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• 2014

Automatic fall-detection algorithms using video-data are proposed. Six types of fall-feature parameters are defined applying the optical flows extracted from differential images to principal component analysis(PCA). One fall-detection algorithm is the simple threshold method that a fall is detected when a fall-feature parameter is over a threshold, another is to use the HMM, and the other is to combine the simple threshold and HMM. Comparing the performances of three types of fall-detection algorithm, the algorithm combining the simple threshold and HMM requires less computational resources than HMM and exhibits a higher accuracy than the simple threshold method.

• Journal of Oral Medicine and Pain
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• v.47 no.2
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• pp.87-94
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• 2022

Purpose: This study aimed to evaluate the differences between clinical and quantitative sensory testing (QST) results among persistent idiopathic dentoalveolar pain (PIDP), inflammatory dental pain, and control group subjects to identify discriminative clinical features for differential diagnosis. Methods: Thirty-three patients (5 PIDP-a without surgical procedures 10 PIDP-b with surgical procedures, 8 dental pain patients, and 10 controls) were evaluated for clinical features and QST results. Cold pain threshold, heat pain threshold, mechanical pain threshold (MPT), mechanical pain sensitivity, and pressure pain threshold (PPT) were performed. Psychological factors were assessed using Symptom Checklist-90-Revision (SCL-90-R) and a chart review was conducted to evaluate additional discriminative clinical features such as pain quality and treatment prognosis. Results: The dental pain group had lower PPT than the PIDP-b and the control group. The PIDP-a group showed higher MPT and PPT than the PIDP-b and dental pain group but the difference was not statistically significant. Differences in SCL-90-R SOM (Somatization), O-C (obsessive-compulsive), ANX (anxiety), and PSY (Psychoticism) values were statistically significant among groups. PIDP-a and PIDP-b groups showed remaining symptoms after treatment and the pain tended to spread widely, whereas, in toothache patients, symptoms disappeared after treatment. However, factors that confound the diagnosis, such as an increase in pain during chewing and a decrease in the pain threshold at the affected site, could also be identified. Conclusions: PIDP and dental pain groups have distinct clinical symptoms, but there are also factors that cause confusing in diagnosis. Therefore, various clinical examination results should be carefully reviewed and comprehensively evaluated in the differential diagnosis process.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.323-324
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• 2019

For flash memory devices with Ge-MONOS(metal-Oxide-Nitride-Oxide-Silicon) structures, variations of threshold voltage with programming voltage were investigated. The programming voltage was observed in steps of 1V from 10V to 17V and programmed for 1 second. The threshold voltage from 10V to 14V was about 0.5V, which is not much different from that before programing, and the threshold voltages at 15V, 16V and 17V were 1.25V, 2.01V and 3.84V, respectively, which differed 0.75V, 1.49V and 3.44V from that before programing.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.121-122
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• 2022

In this paper, the device performance with the structure of Nanosheet FET (NSFET) and FinFET is simulated through a three-dimensional device simulator. Current-voltage characteristics of NSFET and FinFET were simulated with respect to channel doping concentrations, and the performance such as threshold voltage and subthreshold swing extracted from the current-voltage characteristics was compared. NSFET flows more drain current and has a higher threshold voltage in current-voltage characteristics depending on channel doping concentration than that of FinFET. The subthreshold voltage swing (SS) of NSFET is steeper than that of FinFET

• International Journal of Advanced Culture Technology
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• v.8 no.3
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• pp.254-259
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• 2020

The medical bed developed in this study is an electrically driven segmental keyboard. First describe the instrument of the segmental bed specially designed for pressure ulcer prevention, then the motor control system and pressure ulcer prevention operation of the bed. The main factor of pressure ulcer generation is displayed as body pressure x time, and when the keyboard falls, the body pressure becomes zero, and the pressure becomes higher than the threshold even if the body pressure is above the threshold, the pressure control algorithm has been developed. Therefore, using the proposed pressure control method, it has no particular ulcer occurred theoretically.