• 제목/요약/키워드: FP

검색결과 879건 처리시간 0.033초

Performance Evaluation of Improved Fast PMIPv6-Based Network Mobility for Intelligent Transportation Systems

  • Ryu, Seonggeun;Choi, Ji-Woong;Park, Kyung-Joon
    • Journal of Communications and Networks
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    • 제15권2호
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    • pp.142-152
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    • 2013
  • The network mobility basic support (NEMO BS) protocol has been investigated to provide Internet connectivity for a group of nodes, which is suitable for intelligent transportation systems (ITS) applications. NEMO BS often increases the traffic load and handover latency because it is designed on the basis of mobile Internet protocol version 6 (MIPv6). Therefore, schemes combining proxy MIPv6 with NEMO (P-NEMO) have emerged to solve these problems. However, these schemes still suffer from packet loss and long handover latency during handover. Fast P-NEMO (FP-NEMO) has emerged to prevent these problems. Although the FP-NEMO accelerates handover, it can cause a serious tunneling burden between the mobile access gateways (MAGs) during handover. This problem becomes more critical as the traffic between the MAGs increases. Therefore, we propose a scheme for designing an improved FP-NEMO (IFP-NEMO) to eliminate the tunneling burden by registering a new address in advance. When the registration is completed before the layer 2 handover, the packets are forwarded to the new MAG directly and thereby the IFP-NEMO avoids the use of the tunnel between the MAGs during handover. For the evaluation of the performance of the IFP-NEMO compared with the FP-NEMO, we develop an analytical framework for fast handovers on the basis of P-NEMO. Finally, we demonstrate that the IFP-NEMO outperforms the FP-NEMO through numerical results.

Independent Component Analysis Based on Neural Networks Using Hybrid Fixed-Point Algorithm (조합형 고정점 알고리즘에 의한 신경망 기반 독립성분분석)

  • Cho, Yong-Hyun
    • The KIPS Transactions:PartB
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    • 제9B권5호
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    • pp.643-652
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    • 2002
  • This paper proposes an efficient hybrid fixed-point (FP) algorithm for improving performances of the independent component analysis (ICA) based on neural networks. The proposed algorithm is the FP algorithm based on secant method and momentum for ICA. Secant method is applied to improve the separation performance by simplifying the computation process for estimating the root of objective function, which is to minimize the mutual informations of the independent components. The momentum is applied for high-speed convergence by restraining the oscillation if the process of converging to the optimal solution. It can simultaneously achieve a superior properties of the secant method and the momentum. The proposed algorithm has been applied to the composite fingerprints and the images generated by random mixing matrix in the 8 fingerprints of $256\times{256}$-pixel and the 10 images of $512\times{512}$-pixel, respectively. The simulation results show that the proposed algorithm has better performances of the separation speed and rate than those using the FP algorithm based on Newton and secant method. Especially, the secant FP algorithm can be solved the separating performances depending on initial points settings and the nonrealistic learning time for separating the large size images by using the Newton FP algorithm.

Effect of Pilates Gymball Exercises on the Electroencephalogram and Cognitive Function in Mentally Disabled Persons

  • Son, Yu-Joung;Lim, Jae-Heon
    • The Journal of Korean Physical Therapy
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    • 제29권5호
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    • pp.227-233
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    • 2017
  • Purpose: The aim of this study was to determine if Pilates gymball exercise can change the electroencephalogram and cognitive function of mentally disabled people. Methods: Twenty-one mentally disabled people were enrolled in this study. They were assigned randomly to one of two groups: Pilates gymball exercise group (PGEG, n=11), and control group (CG, n=10). The subjects in the PGEG group performed the exercises for 50 minutes a day, three days per week for 6 weeks. The PGEG program consisted of warm up (10 minutes), main workout (30 minutes), and cool down (10 minutes). The main workout consisted of 10 exercise programs. The electroencephalogram (EEG) of Fp1, Fp2, F3, F4, C3, C4, O1, and O2 were measured using an PolyG-I system. The cognitive function was evaluated using a mini-mental state examination (MMSE). The measurements were performed before exercise, and 6 weeks after exercise. Covariance analysis (ANCOVA) was performed to determine the difference between the two groups Results: A significant difference in Fp1, Fp2, and F3 on the relative alpha power was observed between the PGEG and CG groups (p<0.05). A significant difference in Fp1 on the relative beta power was observed between the PGEG and CG groups (p<0.05). No significant difference in the MMSE score was observed between the PGEG and CG groups. Conclusion: Pilates gymball exercise did positively change the EEG in the frontal lobe. On the other hand, the effect related to cognitive was limited. Pilates gymball exercise appears to be more effective in facilitating brain stimulation related to cognition.

Perceptions of Contraception and Patterns of Switching Contraceptive Methods Among Family-planning Acceptors in West Nusa Tenggara, Indonesia

  • Amran, Yuli;Nasir, Narila Mutia;Dachlia, Dini;Yelda, Fitra;Utomo, Budi;Ariawan, Iwan;Damayanti, Rita
    • Journal of Preventive Medicine and Public Health
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    • 제52권4호
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    • pp.258-264
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    • 2019
  • Objectives: The perceptions of family-planning (FP) acceptors regarding contraception influence the reasons for which they choose to switch their method of contraception. The objective of this study was to analyze the perceptions of contraception and rationales for switching contraceptive methods among female FP acceptors in West Nusa Tenggara, Indonesia. Methods: This study involved the analysis of secondary data from the Improve Contraceptive Method Mix study, which was conducted in 2013 by the Center for Health Research, University of Indonesia. The design of the study was cross-sectional. We performed 3 stages of sampling using the cluster technique and selected 4819 women who were FP acceptors in West Nusa Tenggara Province, Indonesia as the subjects of this study. The data were analyzed using multiple logistic regression. Results: The predominant pattern of switching contraceptive methods was switching from one non-long-term method of contraception to another. Only 31.0% of the acceptors reported a rational pattern of switching contraceptive methods given their age, number of children, and FP motivations. Perceptions of the side effects of contraceptive methods, the ease of contraceptive use, and the cost of the contraceptives were significantly associated (at the level of ${\alpha}=0.05$) with rational patterns of switching contraceptive methods. Conclusions: Perceptions among FP-accepting women were found to play an important role in their patterns of switching contraceptive methods. Hence, fostering a better understanding of contraception through high-quality counseling is needed to improve perceptions and thereby to encourage rational, effective, and efficient contraceptive use.

A pilot study on differential expression of microRNAs in the ventromedial prefrontal cortex and serum of sows in activity restricted crates or activity free pens

  • Yin, Guoan;Guan, Liwei;Yu, Langchao;Huang, Dapeng
    • Asian-Australasian Journal of Animal Sciences
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    • 제32권9호
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    • pp.1469-1474
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    • 2019
  • Objective: Physical activity restriction in sows may lead to behavioral abnormalities and affective disorders. However, the psychophysiological state of these sows is still unclear. As miRNAs can be used as effective markers of psychopathy, the present study aimed to assess the difference in microRNA expression between the long-term activity restricted sows and activity free sows, thus contributing to the understanding of abnormal sow behavior. Methods: Four dry sows (sixth parity, Large${\times}$White genetic line) were selected from activity restricted crates (RC) or activity free pens (FP) separately. microRNAs in the ventromedial prefrontal cortex (vMPFC) and serum were examined using real-time polymerase chain reaction, and the correlation between the miRNAs expressed in the vMPFC and serum was evaluated. Results: miR-134 (1.11 vs 0.84) and miR-1202 (1.09 vs 0.85) levels were higher in the vMPFC of the RC sows than in the FP sows (p<0.01). Furthermore, miR-132 (1.27 vs 1.08) and miR-335 (1.03 vs 0.84) levels were also higher in the RC sows than in FP sows (p<0.05); however, miR-135a, miR-135b, miR-16, and miR-124 levels were not different (p>0.05). The relative expression of serum miR-1202 was higher in the RC sows than in the FP sows (1.04 vs 0.54) (p<0.05), and there was a strong correlation (R = 0.757, p<0.05) between vMPFC and Serum levels of miR-1202. However, no significant difference was observed in miR-16 levels in the serum of the RC sows and FP sows (p>0.05). Conclusion: This pilot study demonstrates that long-term activity restriction in sows likely results in autism or other complex psychopathies with depression-like behaviors. These observations may provide new insights for future studies on abnormal behavior in sows and contribute to research on human psychopathy.

Comparison of postural control between subgroups of persons with nonspecific chronic low back and healthy controls during the modified Star Excursion Balance Test

  • Shallan, Amjad;Lohman, Everett;Alshammari, Faris;Dudley, Robert;Gharisia, Omar;Al-Marzouki, Rana;Hsu, Helen;Daher, Noha
    • Physical Therapy Rehabilitation Science
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    • 제8권3호
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    • pp.125-133
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    • 2019
  • Objective: To compare the postural control between non-specific chronic low back pain (NSCLBP) subgroups and healthy people during dynamic balance performance using a modified Star Excursion Balance Test (mSEBT). Design: Cross-sectional study. Methods: Eighteen NSCLBP subjects (9 active extension pattern [AEP], 9 flexion pattern [FP]), and 10 healthy controls were enrolled in this study. All subjects performed mSEBT on their dominant leg on a force plate. Normalized reach distance and balance parameters, including the center of pressure (COP) displacement and velocity, were recorded. Results: There were significant differences in mean reach distances in both posterolateral and posteromedial (PM) reach directions between AEP and healthy subjects (p<0.001) and between FP and healthy subjects (p<0.001). However, there were no significant differences among the three groups in the anterior reach direction. Also, the results showed no significant differences in mean COP variables (velocity and displacement) between pooled NSCLBP and healthy subjects. However, the subjects were reclassified into AEP, FP and healthy groups and the results showed a significant difference in mean COP velocity in the PM direction between AEP and FP subjects (p=0.048), and between AEP and healthy subjects (p=0.024). Conclusions: The findings in this study highlight the heterogeneity of the individuals with NSCLBP and the importance of identifying the homogenous subgroups. Individuals with AEP and FP experience deficits in dynamic postural control compared to healthy controls. In addition, the findings of this study support the concept of the Multidimensional Classification System.

Study of Machine Learning based on EEG for the Control of Drone Flight (뇌파기반 드론제어를 위한 기계학습에 관한 연구)

  • Hong, Yejin;Cho, Seongmin;Cha, Dowan
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 한국정보통신학회 2022년도 춘계학술대회
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    • pp.249-251
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    • 2022
  • In this paper, we present machine learning to control drone flight using EEG signals. We defined takeoff, forward, backward, left movement and right movement as control targets and measured EEG signals from the frontal lobe for controlling using Fp1. Fp2 Fp2 two-channel dry electrode (NeuroNicle FX2) measuring at 250Hz sampling rate. And the collected data were filtered at 6~20Hz cutoff frequency. We measured the motion image of the action associated with each control target open for 5.19 seconds. Using Matlab's classification learner for the measured EEG signal, the triple layer neural network, logistic regression kernel, nonlinear polynomial Support Vector Machine(SVM) learning was performed, logistic regression kernel was confirmed as the highest accuracy for takeoff and forward, backward, left movement and right movement of the drone in learning by class True Positive Rate(TPR).

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The Physiological Effects of Controlled Respiration on the Electroencephalogram (호흡유도(呼吸誘導)에 따른 전두부(前頭部) 뇌파(腦波)에 관한 연구(硏究))

  • Kim, Hye-Kyung;Shin, Sang-Hoon;Nam, Tong-Hyun;Park, Yong-Jae;Hong, In-Ki;Lee, Dong-Hoon;Lee, Sang-Chul;Park, Young-Bae
    • The Journal of the Society of Korean Medicine Diagnostics
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    • 제10권1호
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    • pp.109-140
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    • 2006
  • Background: In practicing qigong, People must achieve three Points : adjust their Posture, control their breathing and have a peace of mind. That is, Cho-Sin [調身] , Cho-Sik [調息] , Cho-Sim [調心] . Slow respiration is the important pattern of respiration to improve the human health. However, unsuitable breathing training have been occurred to mental disorder such as insomnia, anorexia etc. So, we think that the breathing training to consider the individual variations are desired. Objectives: We performed this study to examine the physiological effects of controlled respiration on the normal range of frequency domain electroencephalogram(EEC) in healthy subjects Also, to study examine individual variations according to the physiological effects between controlled respiration and Han-Yeol [寒熱] , respiration period, gender and age-related groups on the EEC in healthy subjects. Methods: When the subjects controlled the time of breathing (inspiration and expiration time) consciously, compared with natural respiration, and that their physiological phenomena are measured by EEC. In this research we used breathing time as in a qigong training (The Six-Word Excise) and observed physiological phenomena of the controlled natural respiration period with the ratio of seven to three(longer inspiration) and three to seven(longer expiration) . We determined, heat-cold score by Han-Yeol [寒熱] questionnaire, average of natural respiration period, according to decade, EEC of 140 healthy subjects (14 to 68 years old; 38 males, 102 females) by means of alpha, beta spectral relative power. Results: 1) In Controlled respiration compared with the natural respiration, ${\alpha}\;I\;(Fp2)\;and\;{\beta}$ I (Fpl, Fp2, F3, F4) decreased on the EEC. 2) In controlled respiration compared with the natural respiration, ${\beta}$ I (Fpl, Fp2, F3, F4) increased with cold group, ${\alpha}/{\beta}$(F3) decreased with heat group, ${\alpha}$ I (Fp2)increased with cold group in longer inspiration. But by means of compound effects, ${\alpha}$ II(F3) increased with cold group in longer inspiration, the other side ${\alpha}$ I (F3) decreased with heat group in controlled respiration on the EEC. 3) In controlled respiration compared with the natural respiration, ${\alpha}$ I (Fp2) decreased with decreased-respiratory-rate(D.R.R.) group, ${\beta}$ I (Fpl, Fp2, F3, F4) increased with D.R.R. and D.R.R. groups, ${\alpha}/{\beta}$(F3) decreased with D.R.R. group. But by means of compound effects, in controlled respiration compared with the natural respiration, ${\alpha}/{\beta}$(F3) decreased with D.R.R. group on the EEG. 4) In controlled respiration compared with the natural respiration, ${\beta}$ I (Fpl, F3, F4) increased with female cup, ${\beta}$ I (Fp2) increased with male and female groups, ${\alpha}/{\beta}$(F3) decreased with male group. But by means of compound effects, in controlled respiration compared with the natural respiration, ${\alpha}$ I (Fp2) increased with female group on the EEC. 5) Compared with the natural respiration, in longer expiration ${\alpha}$ I (Fp2) increased in their forties group, in longer inspiration ${\alpha}$ I (Fp2) increased in their fifties group. But by means of compound effects, in controlled respiration compared with the natural respiration, ${\beta}$ I (Fpl) decreased in teens group on the EEG.

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Advanced Improvement for Frequent Pattern Mining using Bit-Clustering (비트 클러스터링을 이용한 빈발 패턴 탐사의 성능 개선 방안)

  • Kim, Eui-Chan;Kim, Kye-Hyun;Lee, Chul-Yong;Park, Eun-Ji
    • Journal of Korea Spatial Information System Society
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    • 제9권1호
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    • pp.105-115
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    • 2007
  • Data mining extracts interesting knowledge from a large database. Among numerous data mining techniques, research work is primarily concentrated on clustering and association rules. The clustering technique of the active research topics mainly deals with analyzing spatial and attribute data. And, the technique of association rules deals with identifying frequent patterns. There was an advanced apriori algorithm using an existing bit-clustering algorithm. In an effort to identify an alternative algorithm to improve apriori, we investigated FP-Growth and discussed the possibility of adopting bit-clustering as the alternative method to solve the problems with FP-Growth. FP-Growth using bit-clustering demonstrated better performance than the existing method. We used chess data in our experiments. Chess data were used in the pattern mining evaluation. We made a creation of FP-Tree with different minimum support values. In the case of high minimum support values, similar results that the existing techniques demonstrated were obtained. In other cases, however, the performance of the technique proposed in this paper showed better results in comparison with the existing technique. As a result, the technique proposed in this paper was considered to lead to higher performance. In addition, the method to apply bit-clustering to GML data was proposed.

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The Discriminating Nature of Dopamine Transporter Image in Parkinsonism: The Competency of Dopaminergic Transporter Imaging in Differential Diagnosis of Parkinsonism: $^{123}I-FP-CIT$ SPECT Study (도파민운반체 영상의 파킨슨증 감별진단 성능: $^{123}I-FP-CIT$ SPECT 연구)

  • Kim, Bom-Sahn;Jang, Sung-June;Eo, Jae-Seon;Park, Eun-Kyung;Kim, Yu-Kyeong;Kim, Jong-Min;Lee, Won-Woo;Kim, Sang-Eun
    • Nuclear Medicine and Molecular Imaging
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    • 제41권4호
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    • pp.272-279
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    • 2007
  • Purpose: The aim of this study was to evaluate the discriminating nature of $^{123}I-FP-CIT$ SPECT in patients with parkinsonism. Methods: $^{123}I-FP-CIT$ SPECT images acquired from the 18 normal controls; NC ($60.4{\pm}10.0$ yr) and 237 patients with parkinsonism ($65.9{\pm}9.2$ yr) were analyzed. From spatialIy normalized images, regional counts of the caudate, putamen, and occipital lobe were obtained using region of interest method. Binding potential (BP) was calculated with the ratio of specific to nonspecific binding activity at equilibrium. Additionally, the BP ratio of putamen to caudate (PCR) and asymmetric Index (ASI) were measured. Results: BPs of NC $3.37{\pm}0.57,\; 3.10{\pm}0.41,\; 3.23{\pm}0.48$ for caudate, putamen, whole striatum, respectively) had no significant difference with those of essential tremor; ET ($3.31{\pm}0.64,\; 3.06{\pm}0.61,\; 3.14{\pm}0.63$) and Alzheimer's disease; AD (3.33 $\pm$0.60, 3.29$\pm$0.79, 3.31$\pm$0.70), but were higher than those of Parkinson's disease; PD (1.92$\pm$0.74, 1.39$\pm$0.68, 1.64$\pm$0.68), multiple system atrophy; MSA (2.36$\pm$1.07, 2.16$\pm$0.91, 2.26$\pm$0.96), and dementia with Lewy body; DLB (1.95$\pm$0.72, 1.64$\pm$0.65, 1.79$\pm$0.66)(p<0.005). PD had statisticalIy lower values of PER and higher values of ASI than those of NC (p<0.005). And PD had significantIy lower value of PCR, higher ASI and lower BP in the putamen and whole striatum than MSA (p<0.05). Conclusion: Dopamine transporter image of $^{123}I-FP-CIT$ SPECT was a good value in differential diagnosis of parkinsonism.