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Metallic cables are still frequently used in access telecommunications networks, especially in the last-mile network segments, together with digital subscriber line (DSL) technologies. Recently, the G.fast system for reaching gigabit transmission speed over short metallic lines has been introduced. In order to achieve such performance, the frequency band of G.fast was extended up to 106 MHz or 212...
In this paper, we develop a model of braincontrolled vehicles. This model includes an extended driver model based on the Queuing-network cognitive architecture, a brain-computer interface (BCI) model representing the performance of the BCI system that can issue three classes of direction control commands, an interface model converting the actual steering command from the BCI system to the steering...
Considering the facts that people access to item information more easily than to user information given user privacy, and the features of items selected by the user always imply his/her preferences, we hope to utilize item features to mine user preferences besides ratings. What is more, ratings are often linguistic labels and fuzzy set is tailor-made to represent them. Therefore, we propose a novel...
Next generation embedded systems will massively adopt on-chip many core architectures to provide both performance and energy-efficiency. This trend will definitely establish the convergence of embedded computing and high-performance computing. In such a context, one major design challenge will concern the choice of adequate architecture parameters given system requirements. Moreover, it will affect...
This paper presents a low-offset comparator based on n-type amorphous indium gallium zinc oxide thin-film transistors (TFTs). An a-Si:H TFT model was adapted to fit the electrical characterization data obtained for these devices. The proposed comparator comprises three pre-amplification stages, a positive-feedback analog latch and a fully dynamic digital latch. Simulation results show that the proposed...
Optimizing wet etch recipe for meeting a target (e.g. Uniformity) typically involves the tuning of multiple parameters; a process that is time consuming and expensive (in terms of tool time, engineering time and material used). In addition, because the process is ultimately constrained by the handful of nozzle test positions available due to hardware limitations, very often the final settings are...
Modeling of numerical differentiation of position sensor signals is carried out. Formulas with variable number of terms of series are compared. Accuracy ranking for each equation is done.
The hybrid localization system applications nowadays not only mitigate the inaccuracy of standalone RF localization approach, but also increase the reliability in the absence of supporting Radio Frequency (RF) infrastructure. One of the outstanding hybrid approaches is the Radio Frequency Identification(RFID) assisted inertial navigation system, which is notable for its low cost, simple implementation...
A case study of the trade off between fidelity and complexity is presented for a passive radar simulator. Although it is possible to accurately model the underlying physics, signal processing, and environment of a radar, the resulting model might be both too complex and too costly to evaluate. Instead, simplifications of various model attributes reduce the complexity and permit fast evaluation of...
The potential of Markov chain and cellular automata model with help of agents that play a vital role in a cities urbanisation through fuzziness in the data and hierarchal weights (for principal agents) have been used to understand and predict the urban growth for the Pune city, India. The model utilizes temporal land use changes with probable growth agents such as roads drainage networks, railway...
Nanotoxicity modeling can reveal the relationship between nanomaterial properties and unintended adverse effects. Traditional modeling usually builds a prediction model on the whole dataset. It does not examine the subsets of the data and their quality for model building. In this paper, we introduce a prediction cube approach to nanotoxicity modeling. Prediction cube is a new type of data cube for...
This paper describes SPICE-compatible macromodels to model the nonlinear behavior of operational amplifiers (Op Amp) and current feedback operational amplifiers (CFOA). The proposed macro-models include not only those performance parameters more important of the Op Amp and CFOA like the dynamic range, slew-rate, DC gain and gain-bandwidth product, but parasitic resistors and capacitors associated...
Modelling and simulation (Mod-Sim) tools are becoming a crucial component in the design and evaluation of cyber and physical security systems. Many Mod-Sim tools exist for the elucidation of attack scenarios, characterization of facility vulnerabilities, and the construction and maintenance of optimal protection systems. The growing use of Mod-Sim tools for assessment of physical and cyber security...
In this paper, we focus on 1D shape that IPMC film forms, and we propose a method of designing target displacement which minimizes the errors between real 1D shape and desired 1D shape for multivariable system, and experimentally evaluate the method using IPMC. We identified a dynamic model of a square IPMC's edge by applying voltage for patterned surface electrode and we determine target value by...
The most critical part of the synchrophasor technology is the availability of accurate UTC time. Usually an external GPS clock device feeds PMU with 1 pulse per second time signals. During the second, PMU's internal clock keeps the pace until the next time signal arrives. Because of various reasons, time skews have been observed in some real life synchrophasor data. Two fundamental types of time skews...
Photovoltaic (PV) technology permits us to harness and transform solar radiation into electricity. However, PV power generators are still a marginal share in the global power generation capacity. One of the main reasons for it is that PV systems are greatly dependent on the atmospheric conditions affecting their operation. Furthermore, series connection of PV cells is prone to power losses when the...
In this paper we introduce a new approach for modeling covert channel algorithms utilizing automated code generation and evaluation in real network environments. Our proposed framework is called Automated Covert Channel Modeling over Networks (ACCM-Net), which allows the user to convert any general description of a covert channel algorithm into executable code using an automated process. The resulting...
The dexterity of body motion when performing skills are being actively studied. In this paper, singular value decomposition is used to extract the dexterous features from the time-series data of body motion. A matrix is composed by overlapping the subsets of the time-series data. The left singular vectors of the matrix are extracted as the patterns of the motion and the singular values as a scalar,...
Li-ion batteries are a very attractive energy storage technology due to their high energy density and their capability for high charge and discharge rates. This makes them very suitable for power applications such as Electric Vehicles (EV), Hybrid Electric Vehicles (HEV) or electric grid oriented applications. However, in order to take advantage of Li-ion batteries' good properties, an accurate battery...
We address the problem of estimating the neighborhood cardinality of nodes in dynamic wireless networks. Different from previous studies, we consider networks with high densities (a hundred neighbors per node) and where all nodes estimate cardinality concurrently. Performing concurrent estimations on dense mobile networks is hard; we need estimators that are not only accurate, but also fast, asynchronous...
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