• Title/Summary/Keyword: Backward-forward

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Analysis on Forward/Backward Current Distribution and Off-current for Doping Concentration of Double Gate MOSFET (DGMOSFET의 도핑분포에 따른 상 · 하단 전류분포 및 차단전류 분석)

  • Jung, Hakkee
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.17 no.10
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    • pp.2403-2408
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    • 2013
  • This paper has analyzed the change of forward and backward current for channel doping concentration to analyze off-current of double gate(DG) MOSFET. The Gaussian function as channel doping distribution has been used to compare with experimental ones, and the two dimensional analytical potential distribution model derived from Poisson's equation has been used to analyze the off-current. The off-current has been analyzed for the change of projected range and standard projected range of Gaussian function with device parameters such as channel length, channel thickness, gate oxide thickness and channel doping concentration. As a result, this research shows the off-current has greatly influenced on forward and backward current for device parameters, especially for the shape of Gaussian function for channel doping concentration.

Secure and Fine-grained Electricity Consumption Aggregation Scheme for Smart Grid

  • Shen, Gang;Su, Yixin;Zhang, Danhong;Zhang, Huajun;Xiong, Binyu;Zhang, Mingwu
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.4
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    • pp.1553-1571
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    • 2018
  • Currently, many of schemes for smart grid data aggregation are based on a one-level gateway (GW) topology. Since the data aggregation granularity in this topology is too single, the control center (CC) is unable to obtain more fine-grained data aggregation results for better monitoring smart grid. To improve this issue, Shen et al. propose an efficient privacy-preserving cube-data aggregation scheme in which the system model consists of two-level GW. However, a risk exists in their scheme that attacker could forge the signature by using leaked signing keys. In this paper, we propose a secure and fine-grained electricity consumption aggregation scheme for smart grid, which employs the homomorphic encryption to implement privacy-preserving aggregation of users' electricity consumption in the two-level GW smart grid. In our scheme, CC can achieve a flexible electricity regulation by obtaining data aggregation results of various granularities. In addition, our scheme uses the forward-secure signature with backward-secure detection (FSBD) technique to ensure the forward-backward secrecy of the signing keys. Security analysis and experimental results demonstrate that the proposed scheme can achieve forward-backward security of user's electricity consumption signature. Compared with related schemes, our scheme is more secure and efficient.

Motion Field Estimation Using U-disparity Map and Forward-Backward Error Removal in Vehicle Environment (U-시차 지도와 정/역방향 에러 제거를 통한 자동차 환경에서의 모션 필드 예측)

  • Seo, Seungwoo;Lee, Gyucheol;Lee, Sangyong;Yoo, Jisang
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.40 no.12
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    • pp.2343-2352
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    • 2015
  • In this paper, we propose novel motion field estimation method using U-disparity map and forward-backward error removal in vehicles environment. Generally, in an image obtained from a camera attached in a vehicle, a motion vector occurs according to the movement of the vehicle. but this motion vector is less accurate by effect of surrounding environment. In particular, it is difficult to extract an accurate motion vector because of adjacent pixels which are similar each other on the road surface. Therefore, proposed method removes road surface by using U-disparity map and performs optical flow about remaining portion. forward-backward error removal method is used to improve the accuracy of the motion vector. Finally, we predict motion of the vehicle by applying RANSAC(RANdom SAmple Consensus) from acquired motion vector and then generate motion field. Through experimental results, we show that the proposed algorithm performs better than old schemes.

Effect of Forward-and-Backward Shift Trunk Exercise Using Proprioceptive Neuromuscular Facilitation Diagonal Pattern in Closed Kinematic Chain Exercises on Upper Limb Function and ADL in Stroke Patient -A Single-Subject Design- (닫힌사슬에서의 PNF 대각선 패턴을 이용한 몸통 전·후방 이동운동이 뇌졸중환자의 상지 기능 및 일상생활에 미치는 영향 -단일 사례 연구-)

  • Park, Si-Eun;Moon, Sang-Hyun
    • PNF and Movement
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    • v.15 no.3
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    • pp.237-246
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    • 2017
  • Purpose: The purpose of this study was to investigate the effects of forward-and-backward shift trunk exercise using a proprioceptive neuromuscular facilitation (PNF) diagonal pattern in a closed kinematic chain exercise on the upper limb function and activity of daily living (ADL) in a stroke patient. Methods: One subject participated in this study. The study used a reversal A-B-A' design, where A and A' were the baseline period (no intervention), and B was the intervention period. The intervention was a forward-and-backward trunk shift exercise, using a PNF diagonal pattern on both a stand-on-hand position and a quadruped position of closed kinematic chain exercises, for 20 min per day for 2 weeks. The range of motion (ROM) of the shoulder joint was measured and a Fugl-Meyer assessment of upper extremity (FMA-UE) and a functional independence measure (FIM) were performed to measure upper limb function and activity of daily living (ADL). Results: ROMs of shoulder joint (flexion, extension, abduction, and external rotation) increased in the intervention phase. The FMA-UE score increased (from 28 to 36) in the intervention phase. The FIM score increased (from 20 to 25) in the intervention phase. These increases were maintained after intervention (Baseline II). Conclusion: These results suggest that forward-and-backward shift trunk exercises using a PNF diagonal pattern in a closed kinematic chain exercise have a positive effect on stroke patients' upper limb function and ADL ability.

Optimal Control Scheme for SEIR Model in Viral Communications (Viral 통신에서의 SEIR모델을 위한 최적제어 기법)

  • Radwan, Amr
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.20 no.8
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    • pp.1487-1493
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    • 2016
  • The susceptible, exposed, infectious, and recovered model (SEIR) is used extensively in the field of epidemiology. On the other hand, dissemination information among users through internet grows exponentially. This information spreading can be modeled as an epidemic. In this paper, we derive the mathematical model of SEIR in viral communication from the view of optimal control theory. Overall the methods based on classical calculus, In order to solve the optimal control problem, proved to be more efficient and accurate. According to Pontryagin's minimum principle (PMP) the Hamiltonian function must be optimized by the control variables at all points along the solution trajectory. We present our method based on the PMP and forward backward algorithm. In this algorithm, one should integrate forward in time for the state equations then integrate backward in time for the adjoint equations resulting from the optimality conditions. The problem is mathematically analyzed and numerically solved as well.

Potential of Bidirectional Long Short-Term Memory Networks for Crop Classification with Multitemporal Remote Sensing Images

  • Kwak, Geun-Ho;Park, Chan-Won;Ahn, Ho-Yong;Na, Sang-Il;Lee, Kyung-Do;Park, No-Wook
    • Korean Journal of Remote Sensing
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    • v.36 no.4
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    • pp.515-525
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    • 2020
  • This study investigates the potential of bidirectional long short-term memory (Bi-LSTM) for efficient modeling of temporal information in crop classification using multitemporal remote sensing images. Unlike unidirectional LSTM models that consider only either forward or backward states, Bi-LSTM could account for temporal dependency of time-series images in both forward and backward directions. This property of Bi-LSTM can be effectively applied to crop classification when it is difficult to obtain full time-series images covering the entire growth cycle of crops. The classification performance of the Bi-LSTM is compared with that of two unidirectional LSTM architectures (forward and backward) with respect to different input image combinations via a case study of crop classification in Anbadegi, Korea. When full time-series images were used as inputs for classification, the Bi-LSTM outperformed the other unidirectional LSTM architectures; however, the difference in classification accuracy from unidirectional LSTM was not substantial. On the contrary, when using multitemporal images that did not include useful information for the discrimination of crops, the Bi-LSTM could compensate for the information deficiency by including temporal information from both forward and backward states, thereby achieving the best classification accuracy, compared with the unidirectional LSTM. These case study results indicate the efficiency of the Bi-LSTM for crop classification, particularly when limited input images are available.

A Study on the Backward and Forward Linkage Effects among Korea, China and Japan by International Input-Output Analysis (한·중·일 3국간 전후방연쇄 효과의 변화와 특징)

  • Kim, Hong-Youl;Cui, Hua-Wei
    • International Commerce and Information Review
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    • v.17 no.1
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    • pp.241-264
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    • 2015
  • This study analyzed backward and forward linkage effects among Korea, China and Japan by International Input-Output(I-O) tables. Index of dispersion power and sensitivity degrees were measured after making 'Korea, China and Japan International Input-Output(I-O) Table'. The study showed that the inter-dependency between Korea and China was increased while the influences of Japanese was decreased among the 3 countries. Under the de-industrialization, the 3 countries decreased influences over their domestic industry but increased the inter-dependency over the other countries. In addition, backward and forward linkage effects was significantly high in some industrial sectors such as petroleum, transportation, machinery equipment, service and public administration in 3 countries. In the case of service, the linkage effects among the 3 countries increased which means that the roles and inter-dependency of service was also gradually increasing in 3 countries.

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Effects of forward & backward walking training with progressive body weight supported on stroke patients' ambulatory ability

  • Kim, Kyung-Hoon;Lee, Suk-Min
    • Physical Therapy Rehabilitation Science
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    • v.3 no.2
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    • pp.77-85
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    • 2014
  • Objective: In the present study, the effects of progressive body weight support treadmill forward & backward walking training (FBWT), progressive body weight support treadmill forward walking training (FWT), and progressive body weight support treadmill backward walking training (BWT), and on stroke patients' ambulatory abilities were examined. Design: Randomized controlled trial. Methods: A total of 36 chronic stroke patients were divided into three groups with 12 subjects in each group. Each of the groups performed one of the progressive body weight supported treadmill training methods for 30 minute, six times per week for three weeks, and then received general physical therapy without any other intervention until the follow-up tests. For the assessment of the step length, total double support, cadence, gait were measured using optogait and the 10-m walk test (10MWT), 6 minutes walk test (6MWT). Results: In the within group comparisons, all the three groups showed significant differences between before and after the intervention (p<0.05). In the comparison of the three groups, there were significant differences among the three groups in stride length, double limb support stance, cadence, 10MWT, and 6MWT in the third week, and only in stride length, 10MWT, and 6MWT test in the sixth week (p<0.05). Conclusions: This study verified that progressive body weight-supported treadmill gait training positively affected the gait ability of stroke patients in an actual gait environment. It also showed that FBWT group was more effective than FWT group and BWT group training.

Effect of Forward, Backward Walking using Partial Weight Bearing on Walking of the Patient with Incomplete Spinal Cord Injury (부분 체중지지를 이용한 앞, 뒤로 걷기 운동이 불완전 척수손상환자의 보행에 미치는 효과)

  • Kim, Seok-Hwan;Chung, Jae-Hoon
    • PNF and Movement
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    • v.9 no.2
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    • pp.29-37
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    • 2011
  • Purpose : The purpose of this study was to find out of an effect of forward, backward walking using partial weight bearing on walking of the patient with incomplete spinal cord injury. Methods : The average age, and the term of being sick of 6 patients who were selected as the subjects with incomplete spinal cord injury and who received medical attention in the National Rehabilitation Hospital, was 50.3 years old, and 10.7 months, and those were also the patients that were classified as ASIA-C or D by ASIA. The forward, backward walking using a partial weight bearing system as the research method, took total 6 weeks, 3 days per week, 3 times per day, total 45 minutes for each time(15 minutes for a time, 5 minutes for a breathing time), and the 15 minutes was used for forward walking 7.30 minutes, backward walking for 7.30 minutes, to find out before and after the test of WISCI, PCI, Walking Speed, Motor Score of Lower Limbs for the selected patients with incomplete spinal cord injury. Results : The result was showed WISCI from 17 points to 17 points that is, no change occurred at all, and PCI from $161.01{\pm}103.06$ to $74.97{\pm}58.19$, some amount of reduction that is not statistically significant(p<.05). Regarding walking speed, it increased from $24{\pm}.07m/sec$ to. $61{\pm}.35m/sec$, that is statistically significant(p<.05), and motor score of lower limbs showed statistically significant increase like from $33.17{\pm}7.08$ to $37{\pm}5.14$(P<.05). Conclusion : The 4 evaluation categories seem to have shown differences due to an insufficient number of subjects, and short test term, and it seems the more diverse task-oriented walking exercises should be studied in the coming days.

Assessment of real-time bias correction method for rainfall forecast using the Backward-Forward tracking (Backward-Forward tracking 기반 예측강우 편의보정 기법의 실시간 적용 및 평가)

  • Na, Wooyoung;Kang, Minseok;Kim, Yu-Min;Yoo, Chulsang
    • Proceedings of the Korea Water Resources Association Conference
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    • 2021.06a
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    • pp.371-371
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    • 2021
  • 돌발홍수 예경보시스템의 입력자료로 예측강우가 활용된다. 기상청과 환경부에서는 초단기 예보의 목적으로 MAPLE(McGill Algorithm for Precipitation nowcasting and Lagrangian Extrapolation)을 생산하고 있다. MAPLE은 선행 30분까지의 예측품질은 어느 정도 정확하다고 볼 수 있으나 그 이후 특히 3시간 이상이 되면 예측품질이 크게 떨어지는 문제가 있다. 예측강우의 편의보정을 위한 여러 시도들이 있었으나 호우의 규모 및 이동특성을 고려한 사례는 제한적이다. 호우의 이동특성을 고려해야하는 이유로는 첫째, 예측의 특성상 예측강우가 생성되고 편의보정이 이루어지는 시간 동안 호우는 이동을 하기 때문이다. 둘째, 호우가 이동을 하면서 편의보정의 대상이 되는 지역에 적합한 보정계수의 결정이 어렵기 때문이다. 마지막으로 돌발홍수는 장마와 같은 전선형 강수가 아닌 국지성 호우와 같이 빠르게 움직이며 강한 호우를 내리는 강수에 의해 발생하기 때문이다. 본 연구에서는 이러한 문제점을 극복하기 위해 호우의 이동특성을 고려하여 예측강우 보정계수를 결정하고 이를 예측강우에 실시간으로 적용할 수 있는 방법을 제시하였다. 이 과정에서 Backward tracking은 미래에 호우가 도달할 지역(대상지역)으로부터 현재 호우가 위치하는 지역을 추적하는데 이용된다. 추적된 지역에서 보정계수가 결정된다. Forward tracking은 현재 호우가 위치하는 지역으로부터 대상지역을 다시 추적하는데 이용된다. 앞서 결정된 보정계수는 대상지역의 예측강우에 적용된다. 해당 방법론을 2019년에 발생한 주요 호우사상에 실시간 적용하고 평가하였다. 그 결과, Backward-Forward tracking 기반 예측강우 보정방법을 적용한 경우에는 실제 관측된 강우와 매우 유사한 보정결과가 도출됨을 확인되었다.

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