• PNF and Movement
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• v.5 no.2
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• pp.63-71
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• 2007

Objective : Respiratory muscle weakness and decreased chest mobility has been suggested to result from the deconditioning that accompanied activity level in chronic elderly stokes. The benefits of respiratory exercise programmes on exercise capacity and muscle strength in hemiplegia. This study aimed to determine the effects of selective inspiratory and expiratory muscles training and chest mobility exercise on patients with strokes to establish if an improved exercise capacity can be obtained in patients that are not limited in their daily activities. Methods & Intervention : Twelve patients were assigned to the intensive respiratory exercise group participated in a measures design that evaluated the subjects with pre-treatment and post-treatment. Thirteen subjects who were assigned to a control group received training with breathing exercise and resistance exercise of skeletal muscles. The subjects performed spirometry then undertook a 6-week programme of respiratory muscle and chest mobility training. Training for the two groups was carried out 2 times a week for 6 weeks. Measurements and Results : Spirometry(Forced Vital Capacity: FVC and Closed Circuit Spiromety: CCS) and thoracic mobility were measured before and after the 6 weeks. The experimental group improved significantly compared to control group in FVC, $FEV_1$, MVV, IRV and ERV, and upper chest wall expansion(p<0.05). No significant improvement was seen in thoracic mobility or lung function in control group(p>0.05). Conclusion : The major findings in this study were that a intensive 6week exercise programme of resistive breathing and chest mobility in patients with hemiplegia led to an increase in lung capacity. The resistive breathing exercise programme used here resulted in a significant increase in the chest excursion during breathing.

• The KIPS Transactions:PartC
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• v.13C no.2 s.105
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• pp.211-218
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• 2006

The Mobile IPv6 provides the enhanced internet services to user by supporting a node's mobility. In Mobile IPv6(MIPv6), the mobile node sends the binding message which binds home address(HoA) with care-of address(CoA) to the home agent whenever it changes its point of attachment to the internet. To reduce the mobility management signal message the Paging Hierarchical Mobile IPv6(PHMIPv6) is proposed. The mobile node does not send the binding message within the domain if the mobile node's state is idle. Therefore the mobility signal message cost can be reduced. However, when the mobile node's session arrival rate is high the many mobility management signal cost are needed because the paging cost is very high. In this paper, we analysis the drawback of PHMIPv6 and propose the scheme which can reduce the mobility management signal cost. The proposed scheme works independent of the number of subnet in the domain. Therefore the proposed scheme can improve the mobile node's mobility management scheme.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.32 no.1B
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• pp.40-52
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• 2007

Mobile IP allows mobile end-systems to maintain on-going connections while moving to other links. Based on the Internet Protocol Version 6 (IPv6), mobile IPv6 provides a set of new mobility functions such as route optimization in addition to the functions in mobile IPv4. This paper describes the hardware-based mobile IPv6 implementation which provides all the mobility functionalities in hardware. The hardware-based mobile IPv6 provides faster mobility support than software-based implementation as well as it reduces the number of packet losses which can be caused during the movement. In end-systems equipped with hardware-based mobility support, the CPU can concentrate more on running application programs without wasting its effort for mobility support, and hence it is expected the overall performance improvement.

• The korean journal of orthodontics
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• v.46 no.4
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• pp.228-241
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• 2016

Objective: Root mobility due to reciprocating movement of the tooth (jiggling) may exacerbate orthodontic root resorption (ORR). "Jiggling" describes mesiodistal or buccolingual movement of the roots of the teeth during orthodontic treatment. In the present study, buccolingual movement is described as "jiggling." We aimed to investigate the relationship between ORR and jiggling and to test for positive cell expression in odontoclasts in resorbed roots during experimental tooth movement (jiggling) in vivo. Methods: Male Wistar rats were divided into control, heavy force (HF), optimal force (OF), and jiggling force (JF) groups. The expression levels of cathepsin K, matrix metalloproteinase (MMP)-9 protein, interleukin (IL)-6, cytokine-induced neutrophil chemoattractant 1 (CINC-1; an IL-8-related protein in rodents), receptor activator of nuclear factor ${\kappa}B$ ligand (RANKL), and osteoprotegerin protein in the dental root were determined using immunohistochemistry. Results: On day 21, a greater number of root resorption lacunae, which contained multinucleated odontoclasts, were observed in the palatal roots of rats in the JF group than in rats from other groups. Furthermore, there was a significant increase in the numbers of cathepsin K-positive and MMP-9-positive odontoclasts in the JF group on day 21. Immunoreactivities for IL-6, CINC-1, and RANKL were stronger in resorbed roots exposed to jiggling than in the other groups on day 21. Negative reactivity was observed in the controls. Conclusions: These results suggest that jiggling may induce ORR via inflammatory cytokine production during orthodontic tooth movement, and that jiggling may be a risk factor for ORR.

• Journal of KIISE:Information Networking
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• v.29 no.4
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• pp.412-427
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• 2002

This paper proposes a restoration scheme based on mobility learning and prediction in the presence of the failure of mobility databases in mobile communication systems. In mobile communication systems, mobility databases must maintain the current location information of users to provide a fast connection for them. However, the failure of mobility databases may cause some location information to be lost. As a result, without an explicit restoration procedure, incoming calls to users may be rejected. Therefore, an explicit restoration scheme against the failure of mobility databases is needed to guarantee continuous service availability to users. Introducing mobility learning and prediction into the restoration process allows systems to locate users after a failure of mobility databases. In failure-free operations, the movement patterns of users are learned by a Neuro-Fuzzy Inference System (NFIS). After a failure, an inference process of the NFIS is initiated and the users' future location is predicted. This is used to locate lost users after a failure. This proposal differs from previous approaches using checkpoint because it does not need a backup process nor additional storage space to store checkpoint information. In addition, simulations show that our proposal can reduce the cost needed to restore the location records of lost users after a failure when compared to the checkpointing scheme

• Physical Therapy Korea
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• v.17 no.3
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• pp.48-58
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• 2010

The aim of this study was performed to determine the inter-rater reliability of the Stroke Rehabilitation Assessment of Movement (STREAM) translated in Korean. This was a new clinical measurement tool for evaluating the recovery of voluntary movement and basic mobility following stroke. A direct-observation reliability study was conducted on 20 patients who had strokes and were in a rehabilitation setting. Subjects were assessed by two physical therapists. The reliability of the STREAM scores was demonstrated by weighted kappa statistics for inter-rater agreement on scores for individual items ranged from .83 to 1.0, intraclass correlation coefficients for total score was .99, and for subscale scores was ranged from .96 to .99. The internal consistency of the STREAM scores was demonstrated by Cronbach alphas of greater than .99 on the subscales and overall. These high levels of reliability support the use of the STREAM translated in Korean instrument for the measurement of motor recovery following stroke.

• Journal of Korean Clinical Nursing Research
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• v.14 no.3
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• pp.15-25
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• 2008

Purpose: This study was aimed to investigate the effects of gum-chewing on the recovery of bowel movement and oral cavity discomfort after abdominal surgery. Method: The nonequivalent control group, non-syncronized repeated treatment design was used. A total of 99 patients were participated in the study. The 44 patients were in the experimental group and the rest in the control group. The experimental group chewed gum three times a day until they passed gas. As the patient reported gas-passing, bowel movement time, subjective symptoms of oral cavity, and oral status were recorded precisely. The frequency, percentage, $x^2$-test and t-test were analyzed by SPSS PC 12.0. Results: There were significant differences in bowel movement, gas passing, oral cavity symptoms, and oral status scores between the experimental and the control group. Conclusion: The findings of the study demonstrated the fact that gum-chewing helps early recovery from post-operative ileus and thirst. It is because gum chewing stimulates bowel mobility and secretion of saliva. Thus gum-chewing seems to be an effective nursing intervention in reducing post-operative side effects for patients with abdominal surgery.

• International Journal of Internet, Broadcasting and Communication
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• v.14 no.4
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• pp.88-95
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• 2022

Detecting anomalies in human movement is an important task in industrial applications, such as monitoring industrial disasters or accidents and recognizing unauthorized factory intruders. In this paper, we propose an abnormal worker movement detection system based on data stream processing and hierarchical clustering. In the proposed system, Apache Spark is used for streaming the location data of people. A hierarchical clustering-based anomalous trajectory detection algorithm is designed for detecting anomalies in human movement. The algorithm is integrated into Apache Spark for detecting anomalies from location data. Specifically, the location information is streamed to Apache Spark using the message queuing telemetry transport protocol. Then, Apache Spark processes and stores location data in a data frame. When there is a request from a client, the processed data in the data frame is taken and put into the proposed algorithm for detecting anomalies. A real mobility trace of people is used to evaluate the proposed system. The obtained results show that the system has high performance and can be used for a wide range of industrial applications.

• Journal of the Korean Society of Physical Medicine
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• v.5 no.3
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• pp.363-373
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• 2010

Purpose : The purpose of this study was to compare differences in thoracolumbar ranges of motions by comparing ratios among 4 type diagnosis for patient with chronic low back pain. Methods : The subjects were 58 chronic low back pain patients. A motion analysis program (Global Postural System) was used after photography for posture measurement. To analyze differences in mobility percentages and ratios of thoracolumbar ranges of motion, one-way ANOVA was used. Results : Regional difference spinal posture and movement were found to diagnosis patients with chronic low back pain. Comparison of thoracolumbar ranges of motion revealed significant differences in the thoracic region during forward-bending of the trunk (p<.05). In the upper thoracic region, the herniated intervertebral lumbar disc (HILD) group was significantly larger than the spinal stenosis/herniated intervertebral lumbar disc (SS/HILD) group (p<.05). In the lower thoracic region, chronic sprains (CS) were significantly greater than in the spinal stenosis (SS) group and in the (SS/HJLD) group (p<.05). Comparative analysis of thoracic/lumbar mobility ratio showed the CS group's ratio during forward bending was largest: 1.66, while the HILD group's ratio was smallest: 84 a significant difference between the two groups (p<.01). Diagnosis was not associated with difference in thoracolumbar backward-bending range of motion (p>.05). Conclusion : Theses results indicate the clinical efficacy of diagnosing for chronic low back pain by evaluating spinal mobility.

• PNF and Movement
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• v.20 no.3
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• pp.451-459
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• 2022

Purpose: Temporomandibular disorder (TMD) is a common musculoskeletal problem that causes pain in and disability of masticatory muscles, the temporo-mandibular joint (TMJ), and related structures. The purpose of this study was to compare pressure pain thresholds (PPTs) of masticatory muscles, cervical ranges of motion (ROM), and pelvic mobility during gait of subjects with or without TMD. Methods: In this study, pain thresholds and changes in the mobility of the cervical vertebrae and pelvis were measured in 25 patients with TMD and 25 healthy controls. Using a pressure algometer, the pressure pain thresholds (PPTs) of the masseter and temporalis muscles were measured in both groups. A gyroscope sensor with a mobile application was used to determine cervical ROM in the frontal and sagittal planes. A 3D-motion analysis system was used to evaluate pelvic mobility in the sagittal, frontal, and transverse planes during gait. Results: The TMD group showed significantly decreased PPTs of masseter and temporalis muscles compared with the control group (p < 0.05). Cervical ROM in flexion, extension, and lateral bending were significantly decreased in the TMD group compared with the control group (p < 0.05). In addition, antero-posterior pelvic tilt was significantly decreased in the TMD group (p < 0.05). Conclusion: The results of the current study suggest that there are close anatomical and functional relationships between TMD and muscle chains related to the cervical spine and pelvis. Therefore, more comprehensive body posture assessments, especially of painful areas, should be undertaken when studying TMD patients.