• Title/Summary/Keyword: secondary path model

Search Result 58, Processing Time 0.021 seconds

A Received Signal Strength-based Primary User Localization Scheme for Cognitive Radio Sensor Networks Using Underlay Model-based Spectrum Access

  • Lee, Young-Doo;Koo, Insoo
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • v.8 no.8
    • /
    • pp.2663-2674
    • /
    • 2014
  • For cognitive radio sensor networks (CRSNs) that use underlay-based spectrum access, the location of the primary user (PU) plays an important role in the power control of the secondary users (SUs), because the SUs must keep the minimum interference level required by the PU. Received signal strength (RSS)-based localization schemes provide low-cost implementation and low complexity, thus it is suitable for the PU localization in CRSNs. However, the RSS-based localization schemes have a high localization error because they use an inexact path loss exponent (PLE). Thus, applying a RSS-based localization scheme into the PU localization would cause a high interference to the PU. In order to reduce the localization error and improve the channel reuse rate, we propose a RSS-based PU localization scheme that uses distance calibration for CRSNs using underlay model-based spectrum access. Through the simulation results, it is shown that the proposed scheme can provide less localization error as well as more spectrum utilization than the RSS-based PU localization using the mean and the maximum likelihood calibration.

Time-dependent compressibility characteristics of Montmorillonite Clay using EVPS Model

  • Singh, Moirangthem Johnson;Feng, Wei-Qiang;Xu, Dong-Sheng;Borana, Lalit
    • Geomechanics and Engineering
    • /
    • v.28 no.2
    • /
    • pp.171-180
    • /
    • 2022
  • Time-dependent stress-strain behaviour significantly influences the compressibility characteristics of the clayey soil. In this paper, a series of oedometer tests were conducted in two loading patterns and investigated the time-dependent compressibility characteristics of Indian Montmorillonite Clay, also known as black cotton soil (BC) soil, during loading-unloading stages. The experimental data are analyzed using a new non-linear function of the Elasto-Visco-Plastic Model considering Swelling behaviour (EVPS model). From the experimental result, it is found that BC soil exhibits significant time-dependent behaviour during creep compared to the swelling stage. Pore water entrance restriction due to consolidated overburden pressure and decrease in cation hydrations are responsible factors. Apart from it, particle sliding is also evident during creep. The time-dependent parameters like strain limit, creep coefficient and Cαe/Cc are observed to be significant during the loading stage than the swelling stage. The relationship between creep coefficients and applied stresses is found to be nonlinear. The creep coefficient increases significantly up to 630 kPa-760 kPa (during reloading), and beyond it, the creep coefficient decreases continuously. Several parameters like loading duration, the magnitude of applied stress, loading history, and loading path have also influenced secondary compressibility characteristics. The time-dependent compressibility characteristics of BC soil are presented and discussed in detail.

Adaptive Active Noise Control of Single Sensor Method (단일 센서 방식의 적응 능동 소음제어)

  • 김영달;장석구
    • Journal of KSNVE
    • /
    • v.10 no.6
    • /
    • pp.941-948
    • /
    • 2000
  • Active noise control is an approach to reduce the noise by utilizing a secondary noise source that destructively interferes with the unwanted noise. In general, active noise control systems rely on multiple sensors to measure the unwanted noise field and the effect of the cancellation. This paper develops an approach that utilizes a single sensor. The noise field is modeled as a stochastic process, and an adaptive algorithm is used to adaptively estimate the parameters of the process. Based on these parameter estimates, a canceling signal is generated. Oppenheim assumed that transfer function characteristics from the canceling source to the error sensor is only a propagation delay. This paper proposes a modified Oppenheim algorithm by considering transfer characteristics of speaker-path-sensor This transfer characteristics is adaptively cancelled by the proposed adaptive modeling technique. Feasibility of the proposed method is proved by computer simulations with artificially generated random noises and sine wave noise. The details of the proposed architecture. and theoretical simulation of the noise cancellation system for three dimension enclosure are presented in the Paper.

  • PDF

Development of ETSS for the SG Secondary Side Loose Part Signal Detection and Characterization (SG전열관 2차측 이물질 검출 및 특성분석을 위한 ETSS 개발)

  • Shin, Ki Seok;Moon, Yong Sig;Min, Kyong Mahn
    • Transactions of the Korean Society of Pressure Vessels and Piping
    • /
    • v.7 no.3
    • /
    • pp.61-66
    • /
    • 2011
  • The integrity of the SG(Steam Generator) tubes has been challenged by numerous factors such as flaws, operation, atmosphere, inherently degraded materials, loose parts and even human errors. Of the factors, loose parts(or foreign materials) on the secondary side of the tubes can bring about volumetric defects and even leakage from the primary to the secondary side in a short period of time. More serious concerns about the loose parts are their unknown influx path and rapid growth rate of the defects affected by the loose parts. Therefore it is imperative to detect and characterize the foreign materials and the defects. As a part of the measures for loose part detection, TTS(Top of Tubesheet) MRPC(Motorized Rotating Pancake Coils) ECT has been carried out especially to the restricted high probability area of the loose part. However, in the presence of loose parts in the other areas, wide range loose part detection techniques are required. In this study, loose part standard tube was presented as a way to accurately detect and characterize loose part signals. And the SG tube ECT bobbin coil and MRPC ISI(In-service Inspection) data of domestic OPR-1000 and Westinghouse Model F(W_F) were reviewed and consequently, comprehensive loose part detection technique is derived especially by applying bobbin coil signals

The Effects of Parental and Peer Attachment in Elementary School Children on Early Adolescent Delinquency : The Mediating Role of Problem Behavior and Delinquent Peers (초등학교 아동의 부모애착과 친구애착이 남녀 청소년 비행에 미치는 영향 : 문제행동과 비행친구 유무의 매개효과)

  • Song, Ji-Young;Park, Seong-Yeon
    • Korean Journal of Child Studies
    • /
    • v.31 no.3
    • /
    • pp.51-66
    • /
    • 2010
  • This study examined the effects of parental attachment and peer attachment in elementary school children upon early adolescent delinquency. The participants were 2,844 taken from data from the Korean Youth Panel Survey (KYPS). Data from secondary questionnaires data on parent and peer attachment, problem behavior, delinquent peers, and delinquency were used for this study. Data were analyzed by means of a Structural Equation Model using AMOS 5.0. Our results indicated that, firstly, parental attachment was negatively related to problem behavior for both male and female adolescents, whereas peer attachment was positively related to problem behavior only for males, but not for females. Secondly, problem behavior in childhood has a direct effect on adolescent delinquency, which also can be indirectly mediated by contact with delinquent peers. In conclusion, the path model from parental and peer attachment in early childhood to adolescent delinquency was supported only in the case of males.

A Study on the Acceptance Intention for Smart Phone by the Innovation Diffusion Theory: Focused on Smart Phone Non-Users (혁신확산이론에 따른 스마트폰 수용의도에 관한 연구: 스마트폰 미사용자를 중심으로)

  • Kim, Jeong-Wook;Kim, Seong-Il
    • Journal of Information Technology Services
    • /
    • v.11 no.1
    • /
    • pp.15-37
    • /
    • 2012
  • This study is progressed for understanding of the acceptance intention differentiated through the view of smart phone non-user's adopting plan. And the research model is proposed in the view of new technology adopting, Innovation Diffusion Theory, Rogers 1995, and Technology Acceptance Model, Davis 1989. In the survey, SPSS 18.0 and AMOS 18.0 are used to analyze the 685 smart phone non-users data. The results of the feasibility analysis and the factor analysis show the measured variables determined in the statistical significant range. Also, 11 hypotheses, among the 16 hypotheses, are adopted by the hypothesis tests through the path analysis, one-way-ANOVA and hierarchial regression analysis. The results indicate variables affect on the non-smart phone user's adopting intention. The primary factor is the perceived usefulness, secondary factor is the social property, and the rest is the playfulness. And, the primary adoption factor is affected to early majority and late majority among each innovation adopters.

Traffic Analysis of a Cognitive Radio Network Based on the Concept of Medium Access Probability

  • Khan, Risala T.;Islam, Md. Imdadul;Amin, M.R.
    • Journal of Information Processing Systems
    • /
    • v.10 no.4
    • /
    • pp.602-617
    • /
    • 2014
  • The performance of a cognitive radio network (CRN) solely depends on how precisely the secondary users can sense the presence or absence of primary users. The incorporation of a spatial false alarm makes deriving the probability of a correct decision a cumbersome task. Previous literature performed this task for the case of a received signal under a Normal probability density function case. In this paper we enhance the previous work, including the impact of carrier frequency, the gain of antennas on both sides, and antenna heights so as to observe the robustness against noise and interference and to make the correct decision of detection. Three small scale fading channels: Rayleigh, Normal, and Weibull were considered to get the real scenario of a CRN in an urban area. The incorporation of a maximal-ratio combining and selection combing with a variation of the number of received antennas have also been studied in order to achieve the correct decision of spectral sensing, so as to serve the cognitive users. Finally, we applied the above concept to a traffic model of the CRN, which we based on a two-dimensional state transition chain.

Analysis of the Moderating Effect of School Levels on the Structural Relationship between Stress in Interpersonal Relationships at Work and Rumination in Teachers' Depression (교원의 우울에 대한 직무 관계스트레스와 반추의 구조적 관계에서 학교급에 의한 조절효과 분석)

  • Yang, Sung-Jin;Lee, Eun-Chul
    • The Journal of the Korea Contents Association
    • /
    • v.19 no.11
    • /
    • pp.122-131
    • /
    • 2019
  • This study analyzed the moderating effect according to school levels in the structural relationship between stressful interpersonal relationships at work and rumination in teachers' depression. For this study, a research model was formed based on theoretical understandings and a literature review. The researchers surveyed 811 teachers at primary and secondary schools to measure scales of depression, rumination, and stress in interpersonal relationships at work. Primary education and secondary education were the grouping variables for the school levels, and the collected data was analyzed using multi-group structural equation modeling. Also, to affirm equivalence between the two models, the data was investigated using the constrained model of measurement equivalence. The research results verified the equivalence between the two models and the moderating effect by comparing the path coefficients of the two models on the assumption of equivalence constraint. As a result, the moderating effect according to school levels was revealed on the path from stressful interpersonal relationships at work to depression. Grounded on this analysis, stress in interpersonal relationships at work mediates the impact of rumination in teachers' depression. In addition, the research revealed that the moderating effects on stressful interpersonal relationships at work varied according to school level, and the moderating effect of stress in interpersonal relationships at work affected middle school teachers but not primary school teachers.

Multiple model switching adaptive control for vibration control of cantilever beam with varying load using MFC actuators and sensors

  • Gao, Zhiyuan;Huang, Jiaqi;Miao, Zhonghua;Zhu, Xiaojin
    • Smart Structures and Systems
    • /
    • v.25 no.5
    • /
    • pp.559-567
    • /
    • 2020
  • Vibration at the tip of various flexible manipulators may affect their operation accuracy and work efficiency. To suppress such vibrations, the feasibility of using MFC actuators and sensors is investigated in this paper. Considering the convergence of the famous filtered-x least mean square (FXLMS) algorithm could not be guaranteed while it is employed for vibration suppression of plants with varying secondary path, this paper proposes a new multiple model switching adaptive control algorithm to implement the real time active vibration suppression tests with a new multiple switching strategy. The new switching strategy is based on a cost function with reconstructed error signal and disturbance signal instead of the error signal from the error sensor. And from a robustness perspective, a new variable step-size sign algorithm (VSSA) based FXLMS algorithm is proposed to improve the convergence rate. A cantilever beam with varying tip mass is employed as flexible manipulator model. MFC layers are attached on both sides of it as sensors and actuators. A co-simulation platform was built using ADAMS and MATLAB to test the feasibility of the proposed algorithms. And an experimental platform was constructed to verify the effectiveness of MFC actuators and sensors and the real-time vibration control performance. Simulation and experiment results show that the proposed FXLMS algorithm based multiple model adaptive control approach has good convergence performance under varying load conditions for the flexible cantilever beam, and the proposed FX-VSSA-LMS algorithm based multiple model adaptive control algorithm has the best vibration suppression performance.

An Analysis of the Flow and Bed Topography Characteristics of Curved Channels with Numerical Model (수치모형에 의한 만곡수로의 흐름 및 하상 특성 분석)

  • Jeong, Jae-Uk;Han, Jeong-Seok;Yun, Se-Ui
    • Journal of Korea Water Resources Association
    • /
    • v.33 no.1
    • /
    • pp.111-121
    • /
    • 2000
  • A numerical model which can analyze the flow and bed topography characteristics of a single bend and continuous one was suggested using the equations of mass, momentum, the vertical distribution of secondary flow, and the transverse bed slope. The calculated flow and bed topography characteristic values were compared with the experimental data in a single bend, and the predicted path of maximum streamwise velocity in continuous bends also compared with the Vadnal and Chang's data. The comparisons gave good results. A curved channel with 180 degrees was used. Sand and anthracite were selected as bed materials in the movable bed experiments. The model application of this model to the sand bed and the anthracite one accorded well with the observed values in the experiments. This model was proved to be useful for predicting the flow and bed topography with the change of bed materials. The results of this research could be used to construct and control curved channels as a fundamental information.mation.

  • PDF