A New General Linear Convolution Model for fMRI Data Process

General linear model (GLM) is the most popular method for functional magnetic resource imaging (fMRI) data analysis. However, its theory is imperfect. The key of this model is how to constitute the design-matrix to model the interesting effects better and separate noises better. For the purpose of detecting brain function activation, according to the principle of GLM, a new convolution model is presented by a new dynamic function convolving with design-matrix, which combining with t-test can be used to detect brain active signal. The fMRI imaging result of visual stimulus experiment indicates that brain activities mainly concentrate among vland v2 areas of visual cortex, and also verified the validity of this technique.     

Development and Application of Big Data Platform for “Bohai granary”

Vehicular ad-hoc network (VANET) is an emerging paradigm for road transportation which minimizes traffic, accidents and improves fuel efficiency. VANET uses the position of the vehicle obtained from satellite system such as global positioning system (GPS), global navigation satellite system, Compass and Galileo as a location id in position-based routing protocol. The position obtained from the satellite system is likely to have an error due to environmental and technical issues which effect the routing performance. Thus, this paper proposes a position-based routing protocol which uses Kalman filter based location prediction technique to improve routing performance by minimizing location error. The routing protocol performance is evaluated on NS-3.23 simulator with real time GPS traces and simulator generated mobility on Two-ray ground and Winner-II propagation model for 500 m transmission range. Further, performance is compared with other prediction-based routing protocol on the metrics of packet delivery ratio, average delay and throughput.     

Editor’s Note: Special Issue on Big Data Analysis and Privacy

Journal of Signal Processing Systems -     

Editor’s Note: Special Issue on Big Data Analytics and Privacy

Journal of Signal Processing Systems -     

The Optimizing QoS Miss Rate Scheme for the Data Centers

1IntroductionThe third-party services are hosted on the data cen-ters where the service owner pays rent for server re-sources,and in return,the service is provided guaran-tees on sufficient resources to meet service Quality ofService(QoS)requirement.In th…     

On the Extended Holstein–Hubbard Model for Epitaxial Graphene on Metal

A model that combines the extended Hubbard model involving intra-atomic and interatomic Coulomb repulsion and the Holstein model describing the interaction of a band electron with an Einstein phonon is proposed. Three regions of the phase diagram are considered. The regions correspond to the states of spin- and charge-density waves and the state uniform in spin and charge. Numerical estimations for the Rh, Ir, and Pt substrates show that Coulomb interaction plays a leading part, making possible transitions from the uniform state to the states of spin- and charge-density waves.     

Analytical Model for the Piecewise Linearly Graded Doping Drift Region in LDMOS

提出了体硅LDMOS漂移区杂质浓度分布的一种二维理论模型,根据该模型,如果要使带有场极板的LDMOS得到最佳的性能,那么LDMOS漂移区的杂质浓度必须呈分段线性分布.用半导体专业软件Tsuprem-4和Medici模拟证明了该模型十分有效,根据该模型优化得到的新型LDMOS的击穿电压和导通电阻分别比常规LDMOS增加58.8%和降低87.4%.     

Model of a “Two-Dimensional Metal–Graphene-Like Compound” Junction: Consideration for Interaction between the Components

Semiconductors - A graphene-like compound–two-dimensional d metal system is studied with consideration for interaction between the layer components. The Green’s functions of the layers...     

A Model for the Handover Traffic and Channel Occupancy Timein LEO Satellite Networks

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Stacked InAs/InGaAs quantum dot heterostructures for optical sources emitting in the 1.3 µm wavelength range

A method is proposed for growing stacked InAs/InGaAs self-organized quantum dots on GaAs substrates. The technique allows fabrication of structures exhibiting intense and narrow-line photoluminescence in the 1.3 μm wavelength region. The influence of growth conditions on structural and optical characteristics was studied. The proposed structures show promise in developing vertical-cavity surface-emitting devices. __________ Translated from Fizika i Tekhnika Poluprovodnikov, Vol. 34, No. 5, 2000, pp. 612–616. Original Russian Text Copyright ? 2000 by Maleev, Zhukov, Kovsh, Mikhrin, Ustinov, Bedarev, Volovik, Krestnikov, Kayander, Odnoblyudov, Suvorova, Tsatsul’nikov, Shernyakov, Ledentsov, Kop’ev, Alferov, Bimberg.     

Dynamic Recrystallization (DRX) as the Mechanism for Sn Whisker Development. Part I: A Model

A model is proposed that attributes whisker growth in metals and alloys to dynamic recrystallization (DRX) and, in particular, DRX at the material surface. Each step in the DRX process was correlated to the development of whiskers. The DRX model depends upon the details of the deformation process(es) responsible for new grain initiation and growth. The dependencies exhibited by DRX as a function of deformation strain rate, temperature, and microstructure correlate with the behaviors of whisker development. Anomalous or ultrafast diffusion mechanisms, either by themselves or associated with the deformation structures, provide the means of mass transport necessary to grow whiskers. In Part II of this study, the strain and rate kinetics data are determined for Sn. Parts I and II, together, provide a critical step towards developing a capability to predict the conditions that are likely to cause whisker growth in engineering applications.     

τ-Access Policy:Attribute-Based Encryption Scheme for Social Network Based Data Trading

The rapid development of social technol-ogy has replaced physical interaction in the trading market. The implication of this technology is to pro-vide access to...     

DART—a High Level Software-Defined Radio Platform Model for Developing the Run-Time Controller

Novel cognitive radio platforms, such as IMEC’s COgnitive Baseband RAdio (COBRA), should ensure the feasibility of multiple streams and their reconfigurability and scalability during run-time. The control over these tasks should be dedicated to a run-time controller that (re)allocates the resources on the platform. E.g., when the channel conditions change requiring a switching to different modulation and coding scheme or a user starts a new stream. Current transaction level models are too detailed for rapid exploration of all run-time options and the high-level data-flow frameworks (such as Kahn process networks) lack the dynamism and reconfigurability that is essential for the exploration. In this paper we propose the DAtaflow for Run-Time (DART), the high-level dynamic data-flow platform model framework, suited for rapid run-time control development. We sketch how to use this framework to develop such a controller in the reactive and more challenging, proactive way. We derive the component timing based on Instruction Set Simulator (ISS) simulation and the reconfiguration timing based on Transaction Level Modeling (TLM) simulation. Finally, we verify results of our DART approach with full TLM simulation of our platform.     

Data Service: Characteristics, Market Structure, and the Role of Operator

1　Introduction　Since the development of telecommunication technologymake the operator able to offer data service to subscribers inthe mid 1990s, operators of various countries have madeenormous efforts to develop data service. Currently, the ar gument on 3G ( 3rd Generation, International MobileTelecommunications 2000) focuses on how to find, develop,and popularize application services in data service markettoo. Some researchers propose that even NTT DoCoMo can n…     

Model Scenarios for Direction-Selective Adaptive Antennas in Cellular Mobile Communication Systems – Scanning the Literature

Intelligent antennas offer the possibility of greatly increasing the capacity of cellular mobile radio systems. We give a comprehensive overview of the literature concerning model scenarios for applications of direction-selective intelligent antennas. Measurement campaigns and simplified models are described that have been derived from these measurements or from physical considerations. Furthermore, directional fading simulators are reviewed which are essential for testing of smart antenna systems.     

A Model for Identifying the Behavior of Alzheimer’s Disease Patients in Smart Homes

Wireless Personal Communications - In recent years, Smart Cities and Smart Homes have been studied as an important field of research. The design and construction of smart homes have flourished so...     

A Fully-Settled Linear Behavior Plus Noise Model for Evaluating the Digital Stimuli of the Design-for-Digital-Testability Σ-Δ Modulators

Evaluating the digital stimuli used in the design-for-digital-testability (DfDT) Σ-Δ modulator is a time-consuming task due to its oversampling and non-linear nature. Although behavioral simulations can substantially improve the simulation speed, conventional behavioral models fail to provide accurate enough signal-to-noise ratio (SNR) predictions for this particular application. In this paper, a fully-settled linear behavior plus noise (FSLB+N) model for the DfDT Σ-Δ modulator is presented to improve both the accuracy and the speed of the behavioral simulations. The model includes the following parameters: the finite open-loop gains, the offsets, the finite output swings, the flicker noise of the operational amplifiers (OPAMPs), as well as the thermal noises of the switched capacitors, the OPAMPs, and the reference supplies. With the proposed model, the behavioral simulation results demonstrate a high correlation with the measurement data. On average, the SNR difference between the simulation and the measurement is –1.1 dB with a maximum of 0.05 dB and a minimum of –2.2 dB. Comparing with the circuit-level simulation using HSPICE, the behavioral simulation with the FSLB+N model is 1,190,000 times faster. The proposed model not only can be used for evaluating the digital stimulus candidates, but also can be applied to system-level simulations of the mixed-signal design with an embedded DfDT Σ-Δ modulator.

An Analytical Model for the Surface Electrical Field Distribution and Optimization of Bulk-Silicon Double RESURF Devices

提出了体硅double RESURF器件的表面电场和电势的解析模型.基于分区求解二维Poisson方程,获得double RESURF表面电场的解析表达式.借助此模型,研究了p-top区的结深,掺杂浓度和位置,漂移区的厚度和掺杂浓度,及衬底浓度对表面电场的影响;计算了漂移区长度,掺杂浓度和击穿电压的关系.从理论上揭示了获得最大击穿电压的条件.解析结果、验证结果和数值结果吻合良好.     

An introduction to data warehousing: what are the implications for the network?

Data warehousing is an information systems environment, rather than a product. It has emerged as an essential business entity for sophisticated analysis of data. This article presents a clear overview of the implications of data warehousing for business. © 1998 John Wiley & Sons, Ltd.