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In this paper, the influence of the stiffness and damping of real elastic shafts on the behavior of a multidrive system driving a tissue paper machine is investigated. The drive system consists of four dc motors, where two of them drive the Yankee drying cylinder and the other two drive the presses section. Six-pulse thyristor bridge power converters that are connected to the same power transformer supply the motors. The inertias of the motors and the driven machines, in conjunction with the shaft stiffness, form mechanical resonators. Thus, resonance phenomena may occur, which may lead to undesirable results. This particular case results to two three-mass and one five-mass systems. This paper presents an analysis of the resonance frequencies of two sections of the machine during startup and machine production, considering the shaft stiffness (shaft diameter, length, and thickness). The elastic shafts eliminate the ripple of the motor electromagnetic torque, which is transferred to the driven machine. The behavior of elastic shafts with different stiffness in the transmission system is studied. Moreover, the steady state and dynamic behavior of the system considering the influence of the elastic shafts and vibration analysis were investigated using simulation. A model algorithm for system simulation was developed using the MATLAB/SIMULINK software. Characteristic simulation results are presented and are expressed in terms of speed and torque response. Considering the resonance frequency analysis and simulation results, mechanical design guidelines can be given for the most significant drive components in order to avoid torsional oscillation resonance phenomena and minimize torsional oscillations of the drive system. [ABSTRACT FROM AUTHOR]

Multiwalled carbon nanotubes (MWNTs) are characterized at X-, Ku-, Ka-, and Q-bands by rectangular wave- guide measurements. The scattering parameters (S-parameters) of thin MWNT papers containing a large ensemble of randomly oriented nanotubes are measured by a vector network analyzer from 8 to 50 GHz. A rigorous extraction algorithm has been developed to compute the effective complex permittivity (ϵ = ϵ′ - jϵ″) and permeability (μ = μ′ - jμ″) of the nanotube papers from the measured S-parameters. The extracted effective medium parameters are verified by finite-element simulations using Ansoft's High Frequency Structure Simulator (HFSS). The uncertainties for this characterization method are analyzed. The systematic uncertainties are found larger at lower frequencies than at higher frequencies. The extracted conductivity of the nanotube papers is in the range of 810-1500 S/m and the dielectric constant is from 250 to 700. The extracted complex permittivity can be fitted with the Drude-Lorentz model for the 8-50-GHz frequency range. The effective medium theory is then applied to remove the impact of air in the nanotube paper. [ABSTRACT FROM AUTHOR]

The article presents invitation for posters and papers for the 2013 IEEE International Reliability Physics Symposium (IRPS) to be held in Monterey, California from April 14-18, 2013. Among the areas where papers should be focused include electronic systems, automotive reliability, and circuit aging simulation. It notes the awards to be given by IRPS including Outstanding Paper, Best Student Talk, Best Poster, and Best Paper.

These instructions give guidelines for preparing papers for this publication. [ABSTRACT FROM AUTHOR]

Focuses on optimal approach to fault tolerant software system design.

This special issue aims to highlight some of the different devices and applications currently being pursued. This volume of the Special Issue has 19 papers that roughly cover five subareas that are important for future applications of graphene in electronic and photonic devices, circuits, and systems. The subareas are: 1) epitaxial growth of graphene; 2) single field-effect transistors (FETs), high-frequency RF mixer circuits, frequency multipliers, and oscillators; 3) multiscale modeling of graphene-based transistors; 4) graphene photonics, including plasmonic applications, graphene-based teraHertz devices, and graphene-based photodetectors; and 5) other graphene-based devices and applications such as resistive memory, on-chip interconnects, microelectromechanical systems, and graphene bioelectronics. The papers are briefly summarized here. [ABSTRACT FROM PUBLISHER]

It is well known that a priority for Communications Society (ComSoc) is to increase the activity in Chapters and student branches and to support initiative projects. One of the projects of the Tomsk Chapter is the annual All-Russia Student Paper Contest on Information Security, based on IEEE (Institute of Electrical and Electronics Engineers) rules, which was successfully held for the third time in April 2003. In connection with the establishment of the Siberian IEEE Section in February 2003, this contest was the first event in the Section with technical support from ComSoc. The suggestion to start the contest came from the Tomsk Chapter Chair, who motivated Tomsk State University of Control systems and Radioelectronics to start this crusade.

The International Computer and Software Applications Conference has celebrated its tenth anniversary in 1986. The conference has been very successful in attracting excellent papers and panels from both academia and industry. It continued the tradition and attracted superb papers for the following tracks: software quality, software engineering, software requirements, development environments, software techniques and knowledge-based systems.

In a recent Special Section published in IEEE Transactions on Consumer Electronics we introduced smart electronics. We presented a set of papers which were selected after rigorous review with a scope of artificial intelligence (AI) or machine learning (ML) approaches used for various levels of system abstractions, from device-level to system-level. In one school of thought energy-smart, security-smart, and response-smart are 3 dimensions of smart electronic systems. [ABSTRACT FROM AUTHOR]

This article reports that the Cypak company has developed a disposable paper computer that can collect, process, encrypt, and store up to 32 kilobytes of data. The Cypak's system contains printable sensors and a small multipurpose application-specific integrated circuit with a radio-frequency identification interface. It detects events or accepts input via graphite-ink circuits. Thus, if a user breaks a seal to remove a product or presses a surface to answer a question, the system recognizes whether the circuit is opened or closed and records the information.

High precision register controls are indispensable in roll-to-roll (R2R) printing systems for mass manufacturing. In R2R printing systems, each gravure cylinder is driven by an individual motor and guiding rolls distributed between two adjacent gravure cylinders are driven by the tension of their wrapped web. In the speed-up phase, tension fluctuations caused by torque balance of guiding rolls generate register errors in each printing unit. Therefore, it is a challenging issue to design a control method to reduce the register errors. In this paper, a mechanical model of R2R printing systems in the speed-up phase is developed based on the principle of mass conservation and torque balance. A model-based feed-forward proportion-derivative controller is designed to reduce the register errors caused by the tension fluctuations. The validity of the proposed method is demonstrated by simulation and experiments carried out on an industrial rotogravure printing press. A comparison with other control methods especially a well-tuned proportion differential control which is widely adopted by printing presses shows that the absolute maximum register error is drastically reduced and the average register error is greatly decreased by the proposed method. The results verify the effectiveness and feasibility of the proposed control method. Note to Practitioners—This paper presents control strategy for the speed-up phase in R2R printing system, particularly for printing systems with electronic line shafts. Few existing systematic research is relevant with the speed-up phase in the R2R printing system. This paper analyses the relationship of the register error and the web tension fluctuations between two adjacent gravure cylinders which are driven by the guiding rolls, then proposes the control strategy based on the identification of the acceleration of guiding rolls. The proposed method can be extended to other similar R2R systems. Simulation and industrial experiments suggest that the control method is feasible and has superior performance compared with the existing methods. In the future research, we will study the adaptive model representing the acceleration of guiding rolls in different R2R web systems. [ABSTRACT FROM AUTHOR]

This paper presents a joint typicality framework for encoding and decoding nested linear codes in multi-user networks. This framework provides a new perspective on compute–forward within the context of discrete memoryless networks. In particular, it establishes an achievable rate region for computing a linear combination over a discrete memoryless multiple-access channel (MAC). When specialized to the Gaussian MAC, this rate region recovers and improves upon the lattice-based compute–forward rate region of Nazer and Gastpar, thus providing a unified approach for discrete memoryless and Gaussian networks. Furthermore, our framework provides some valuable insights on establishing the optimal decoding rate region for compute–forward by considering joint decoders, progressing beyond most previous works that consider successive cancellation decoding. Specifically, this paper establishes an achievable rate region for simultaneously decoding two linear combinations of nested linear codewords from $K$ senders. [ABSTRACT FROM AUTHOR]

This paper presents a two-stage approach to handle fixed-outline floorplanning for mixed size modules, named F-FM. F-FM combines the advantages of the analytical approach and the slicing tree representation. Thus, it is not only suitable for handling fixed-outline floorplanning but also can be extended to handle other important issues in floorplanning such as routability or thermal effect in addition to wirelength. Recently, low power has become big challenges in very large-scale integration designs, which makes voltage-island driven floorplanning more important than ever. Although the problem has been discussed by previous works, no paper considers signal wirelength, powerplanning, and voltage drop at the same time under the fixed-outline constraint. Thus, this paper extends F-FM to handle this problem and consider these issues by properly dividing modules in a voltage domain into several islands. The experimental results show our approach obtains the best results in these problems. [ABSTRACT FROM AUTHOR]

There is an on-going need for faster, more accurate, and easier to implement threat identification systems for concealed electronics, to thwart terrorism and espionage attempts. Common electronics are used in the design of improvised explosive devices (IEDs), targeting military, and civilian populations, while concealed recording devices steal proprietary/confidential data, compromising both government and industrial resources. This paper discusses a novel, nonintrusive, repeatable, reliable, expandable, and simple-to-implement detection and identification (D&I) system for identifying threats by using unintended radiated emissions (URE). This paper differs from current URE proposals, by avoiding energy radiation. The proposed process also addresses big data problems involved in capturing and building databases of URE characteristics. Issue interpretation is utilized with URE data to distinguish between threat/nonthreat devices using multiple criteria decision analysis and other decision-making techniques to determine model and mode of hidden devices. System optimization, verified by testing, is used to improve the speed and accuracy of the identification algorithm. The system is developed with data from 130 devices and validated with 33 separate devices, which are representative of IED and espionage threats. Due to slow progress in the URE D&I field, the properties and potential of a more effective D&I system, compared to current methods, will be of interest to the explosive ordnance disposal, security services, electronic systems manufacturing, automated inventory, mobile application development communities, and potentially others as well. For a field that is not well documented, this paper provides a clear, concise, and detailed model for future research and applications of URE D&I. [ABSTRACT FROM AUTHOR]

Focuses on the advantages of an electronic system Manuscript Central, a state-of-the-art Internet-based reviewing process. Adoption of the service by the Institute of Electrical and Electronics Engineers; Capability of the system in enabling the entire peer-review process to take place online; Introduction of temc.manuscript central.com Web site.

This paper proposes a new methodology for automated design of power electronic systems realized through the use of artificial intelligence. Existing approaches do not consider the system's reliability as a performance metric or are limited to reliability evaluation for a certain fixed set of design parameters. The method proposed in this paper establishes a functional relationship between design parameters and reliability metrics, and uses them as the basis for optimal design. The first step in this new framework is to create a nonparametric surrogate model of the power converter that can quickly map the variables characterizing the operating conditions (e.g., ambient temperature and irradiation) and design parameters (e.g., switching frequency and dc link voltage) into variables characterizing the thermal stress of a converter (e.g., mean temperature and temperature variation of its devices). This step can be carried out by training a dedicated artificial neural network (ANN) either on experimental or simulation data. The resulting network is named as $\text{ANN}_{1}$ and can be deployed as an accurate surrogate converter model. This model can then be used to quickly map the yearly mission profile into a thermal stress profile of any selected device for a large set of design parameter values. The resulting data is then used to train $\text{ANN}_{2}$ , which becomes an overall system representation that explicitly maps the design parameters into a yearly lifetime consumption. To verify the proposed methodology, $\text{ANN}_{2}$ is deployed in conjunction with the standard converter design tools on an exemplary grid-connected PV converter case study. This study showed how to find the optimal balance between the reliability and output filter size in the system with respect to several design constraints. This paper is also accompanied by a comprehensive dataset that was used for training the ANNs. [ABSTRACT FROM AUTHOR]

This paper considers a distributed storage system, where multiple storage nodes can be reconstructed simultaneously at a centralized location. This centralized multi-node repair (CMR) model is a generalization of regenerating codes that allow for bandwidth efficient repair of a single-failed node. This paper focuses on the tradeoff between the amount of data stored and repair bandwidth in the CMR model. In particular, repair bandwidth bounds are derived for the minimum storage multi-node repair (MSMR) and the minimum bandwidth multi-node repair (MBMR) operating points. The tightness of these bounds is analyzed via code constructions. The MSMR point is characterized by codes achieving this point under functional repair for the general set of CMR parameters, as well as with codes enabling exact repair for certain CMR parameters. The MBMR point, on the other hand, is characterized with exact repair codes for all CMR parameters for systems that satisfy a certain entropy accumulation property. Finally, the model proposed here is utilized for the secret sharing problem, where the codes for the multi-node repair problem are used to construct communication efficient secret sharing schemes with the property of bandwidth efficient share repair. [ABSTRACT FROM AUTHOR]

This paper presents a novel system that allows elevating large structures by using a set of lifting towers that, adequately controlled with a synchronized operation, succeed in pulling the spatial mesh up to the height where it should stay. By doing so, the mounting of the spatial mesh can be carried out on the ground in an easier and, most important of all, safer way; it also gives rise to a shorter final time and, thereby, a cost reduction. This paper deals with the elevation system designed to pull the mesh up and specifically focuses on the electronic system that allows controlling their movement. Comments about the overall control that coordinates the operation of all of the mechanical structures involved are also provided. [ABSTRACT FROM AUTHOR]

This paper applies multiple-input multiple-output (MIMO) transmission methods to multiwire communication systems. Using channel matrices generated from a binder MIMO channel model, a performance assessment of digital subscriber line (DSL) technology based on MIMO transmission methods finds that symmetric data rates of more than 1 Gbps are achievable over four twisted pairs (category 3) for a 300 m range. Similar results are also obtained for a ‘quad’ cable. To achieve this data rate, this paper proposes that the source and load be excited using common mode. [ABSTRACT FROM AUTHOR]

We present simple, practical codes designed for the binary and Gaussian dirty-paper channels. We show that the dirty-paper decoding problem can be transformed into an equivalent multiple-access decoding problem, for which we apply superposition coding. Our concept is a generalization of the nested lattices approach of Zamir, Shamai, and Erez. In a theoretical setting, our constructions are capable of achieving capacity using random component codes and maximum-likelihood decoding. We also present practical implementations of the constructions, and simulation results for both dirty-paper channels. Our results for the Gaussian dirty-paper channel are on par with the best known results for nested lattices. We discuss the binary dirty-tape channel, for which we present a simple, effective coding technique. Finally, we propose a framework for extending our approach to general Gel'fand-Pinsker channels. [ABSTRACT FROM AUTHOR]

A call for papers on the Institute of Electrical & Electronics Engineers (IEEE) Conference on Microwaves, Communications, Antennas and Electronic Systems (COMCAS) 2013 is presented.

Modern electronic systems are performing more and more safety-critical tasks, whereby a robust communication is crucial. To protect those communication channels, error detection and correction codes (EDCCs) are widely used. The very construction of an EDCC has an impact on the resiliency against electromagnetic interference. Within this paper, the effectiveness of several EDCCs is assessed and compared. It is found that the effectiveness depends on the ratio between the channel's bit rate and the frequency of the incoming disturbance. Specific focus is being given to incorrect data perceived as correct: false negatives. Each of the considered EDCCs has an increased vulnerability for false negatives at bit rates that have a specific ratio to the disturbance frequency. The main cause behind this is the repetitive or alternating bit patterns within the codes themselves. Finally, foundations are laid to develop codes that are as robust as possible against harsh electromagnetic disturbances. [ABSTRACT FROM AUTHOR]

The safety and reliability of inverters play a significant role in stable power electronic system operations. Considering a railway vehicle air-conditioning inverter as a case study, this paper presents a generic open-circuit fault diagnosis method that can be applied to various inverter and control schemes. First, a detailed model of three-phase output currents under both normal and fault status is derived, and then the concept of space trajectory is introduced based on the three-phase output currents. The open-circuit faults of the inverter lead to output phase current distortion. Therefore, different types of faults have different space trajectories, and the corresponding shape of the space trajectory is considered to be a fault feature. Then, the fault is located by the direction vector and center-of-mass coordinate. The effectiveness and reliability of the diagnosis method are verified and analyzed using a hardware-in-the-loop test platform. [ABSTRACT FROM AUTHOR]

Modern power systems face several problems at frequencies above the range of traditional stability studies due to the increasing penetration of power electronic devices. This phenomenon has been recently referred to as electromagnetic transient stability and is a growing issue in systems with power electronic converters at any power and voltage level, such as FACTS, high-voltage DC, interfaces for grid connection of renewable energies, custom power devices for power quality enhancement, among others. The study of power systems stability is usually carried out by simulation tools that represent the power system through phasor models. However, due to the faster dynamics of modern systems, the harmonic interaction among the controllers, converters, and electric power components, recent research results suggest that some stability analyses should be conducted with models suitable for wider frequency ranges, e.g., electromagnetic transient models. This paper reviews the use of frequency domain methods to analyze the influence of the modeling approach of passive power components on the results of electromagnetic transient stability studies. [ABSTRACT FROM AUTHOR]

During routine commissioning of a steam turbine load-sharing system, serious low-load frequency instabilities were discovered. These instabilities were causing undamped oscillations in power and frequency to escalate until protective relays tripped a generator offline. Root-cause investigation led to a robust solution and some rather startling revelations about the implications of electronic governor controls and small (micro) grids. There are basically two ways to form an electronic governor control loop with droop: 1) speed control with a MW droop; or 2) MW control with a speed droop. The analysis in this paper shows one method to be superior under low-load conditions. The results of this analysis have implications for the frequency stability of the power grid today. Microgrids, green energy, distributed generation, and isolated industrial plants can all be susceptible to this instability. The authors estimate that approximately 60% of today's generation is prone to destabilize the power system frequency under low-load conditions. [ABSTRACT FROM PUBLISHER]

This paper presents the extension of framework for automatic design space exploration (FADSE) tool using a meta-optimization approach, which is used to improve the performance of design space exploration algorithms, by driving two different multiobjective meta-heuristics concurrently. More precisely, we selected two genetic multiobjective algorithms: 1) non-dominated sorting genetic algorithm-II and 2) strength Pareto evolutionary algorithm 2, that work together in order to improve both the solutions’ quality and the convergence speed. With the proposed improvements, we ran FADSE in order to optimize the hardware parameters’ values of the grid ALU processor (GAP) micro-architecture from a bi-objective point of view (performance and hardware complexity). Using our developed approach we obtained better GAP instances (a configuration has for almost the same cycles per instruction – 1.00, the hardware complexity 38% smaller/better – 35.81 versus 58.61) in half of the time compared to a classical sequential optimization approach (5 days versus 10 days). [ABSTRACT FROM PUBLISHER]

In this paper, a 1.1-μm-pitch 33-Mpixel 240-fps backside-illuminated 3-D-stacked CMOS image sensor with three-stage cyclic-cyclic-successive-approximation-register (SAR) analog-to-digital converters (ADCs) is developed. The narrow-pitch interconnection technology that connects the pixels and arrayed ADCs inside the pixel area is described. The 3-D-stacked architecture, constructed using the interconnection technology, makes it possible to place a 1932 (H) × 4 (V) correlated-double-sampling/ADC array underneath the pixel area. Furthermore, the pipelined and parallel operation of the three-stage cyclic-cyclic-SAR ADC architecture effectively reduces the conversion time period and power consumption and achieves 12-b precision within one horizontal scan time of 0.92 μs. As a result, the interconnection technology and ADC architecture achieved a high frame rate of 240 fps in 33 Mpixels. Random noise of 3.6 e- and low power consumption of 3.0 W were attained at an extremely high pixel rate of 7.96 Gpixel/s. A good figure of merit is achieved compared with recently developed image sensors. [ABSTRACT FROM AUTHOR]

Conventional ultrasound probes have inherent limitations in some application scenarios. Because of their fixed shapes and sizes, they can hardly pass through small orifices to examine the target closely. With the recent development of microelectromechanical systems and flexible electronic technologies, collapsible and self-assembling devices are being considered as a potential approach to address this problem. This article presents an innovative transformable ultrasonic transducer (TUT), which can transform between a one-dimensional (1-D) linear array and a 2-D planar array with the ability of switching between different functions including 2-D/3-D imaging and high-intensity focused ultrasound beamforming. The transforming process is accomplished with a specially designed flexible printed circuit board inspired by a paper-folding mechanism. The electrical and acoustic properties of the developed transducer along with the acoustic field distribution in its different forms have been characterized. The 2-D/3-D imaging performances of the TUT have been also evaluated under 1-D and 2-D configurations, respectively. In addition, the performance of a focused concave transforming mode has been also discussed. The evaluation results suggest that TUT can maintain its performance under different structures with precise transforming control. The TUT device has the potential to considerably expand the applications of industrial and clinical ultrasound. [ABSTRACT FROM AUTHOR]

To improve the comfort and user acceptance of the intelligent vehicle braking system, this paper proposes a control strategy for the electronic brake booster (Ebooster) that considers differences in driving behaviors. First, a real-vehicle driving data collection platform is built to collect the driving behavior data of 84 drivers under typical vehicle-following braking conditions. Subsequently, the k-means clustering algorithm optimized by particle swarm optimization (PSO) is used to realize the cluster analysis of driving behaviors, and the support vector machine (SVM) algorithm optimized by the genetic algorithm (GA) is used to complete the identification of driving behaviors. Next, through the analysis of the boost characteristics of the self-designed Ebooster, driving behaviors are matched with boost characteristics, and a personalized basic boosting control strategy based on the driver behavior is designed. Finally, a hardware-in-the-loop (HiL) bench and a real-vehicle test platform are designed and built to verify the effectiveness of the personalized control strategy of the Ebooster. The results show that this method can effectively identify the type of driver and make personalized adjustments to the basic boosting strategy of the Ebooster, which effectively improves the personalization of the braking system, resulting in a higher pedal response and user acceptance. [ABSTRACT FROM AUTHOR]

This paper studies the throughput of spectrum sharing networks utilizing rate adaptation. We use some recent results on the achievable rates of finite block-length codes to analyze the secondary user (SU) throughput with a constraint on the primary user (PU) codeword drop probability. With codewords of finite length, we derive closed-form expressions for the SU activation probability and throughput. The results are obtained in different scenarios with perfect or no channel state information at the SU transmitter. As demonstrated numerically and analytically, using finite-length codewords and rate adaptation, there is considerable potential for the data transmission of unlicensed secondary users under different quality-of-service requirements of the licensed primary users. [ABSTRACT FROM PUBLISHER]

This paper presents an average dwell-time method for fault-tolerant control of a class of uncertain switched linear time-delay systems and also designs an algorithm to determine the parameters pertaining to the dwell-time condition. Compared to the literature results, this paper features the following: 1) the proposed method is independent of switching polices if switchings are slow enough in the average sense; 2) the proposed control design guarantees exponential stabilization of this class of time-delay linear systems with actuator faults; and 3) this method treats all actuators in a unified manner without a need to identify which are faulty or healthy actuators. The proposed method is applied to the water pollution control problem, for the first time, to deal with different ratios of stream flow rates to effluent flow rates. [ABSTRACT FROM AUTHOR]

Central to network tomography is the problem of identifiability, the ability to identify internal network characteristics uniquely from end-to-end measurements. This problem is often underconstrained even when internal network characteristics such as link delays are modeled as additive constants. While it is known that the network topology can play a role in determining the extent of identifiability, there is a lack in the fundamental understanding of being able to quantify it for a given network. In this paper, we consider the problem of identifying additive link metrics in an arbitrary undirected network using measurement nodes and establishing paths/cycles between them. For a given placement of measurement nodes, we define and derive the “link rank” of the network—the maximum number of linearly independent cycles/paths that may be established between the measurement nodes. We achieve this in linear time. The link rank helps quantify the exact extent of identifiability in a network. We also develop a quadratic time algorithm to compute a set of cycles/paths that achieves the maximum rank. [ABSTRACT FROM PUBLISHER]

The article presents the author's views on the winners of M. Barry Carlton award, probability hypothesis density (PHD) filter, and target tracking research. He says that the Carlton award is given to the best paper in the journal "IEEE Transactions on Aerospace and Electronic Systems," every year. He says that 2010 winner are Nick Whiteley, Sumeetpal Singh and Simon Godsill for their paper on PHD filters. He also talks about the impact of the paper on target tracking research.

This paper proposes a technique, GALAXY, to speed up multicircuit simulation, where each circuit under simulation is identical in schematic but different in some parameters. GALAXY is based on the successive chord method, where the inverse Jacobian matrix ( J ^-1 ) is reused to simulate many circuits whose solutions are similar. GALAXY also speeds up single-circuit simulation by reusing J ^-1 between consecutive time steps. Compared with a traditional Newton–Raphson (NR) simulator, on average, GALAXY reduces runtime of single-circuit and multicircuit simulation by 44% and 71%, without loss of accuracy. The number of NR iterations is reduced by 78%. [ABSTRACT FROM PUBLISHER]

This paper proposes a new network-on-chip (NoC)-reused test access mechanism (TAM) for testing multiple identical cores. It can test multiple cores concurrently and identify faulty cores to derate the chip by excluding the core. In order to minimize the test time, the TAM utilizes the majority value of test response data. All of the cores can thereby be tested in parallel and test costs (in both test pins and test time) are exactly the same as those for a single core. The hardware overhead is minimized by reusing the NoC infrastructures and transfer-counters are designed as a majority analyzer. The experimental results in this paper show that the proposed TAM can test multiple cores in the same time as a single core and with negligible hardware overhead. [ABSTRACT FROM PUBLISHER]

In this paper, we propose a novel iron-tunnel recognition method to overcome the deterioration of the target or vehicle detection performance due to iron-tunnel clutters. Although a few studies on the reflection and diffraction on road surfaces have been conducted for automotive radar sensors, most of these studies did not consider the situation in which structures with larger reflection, such as an iron tunnel, are densely distributed. The proposed method measures the degree of spectral spreading through the analysis of the spectrum characteristics of the received radar signal under different road conditions. The proposed method can successfully detect iron tunnels. In addition, experimental results show that early detection and missing problem of a forward target vehicle in an iron tunnel under adaptive cruise control (ACC) is improved. [ABSTRACT FROM PUBLISHER]

In this paper, we develop optimal energy-bandwidth allocation algorithms in fading channels for multiple energy harvesting transmitters. We first assume that the side information of both the channel states and the energy harvesting states is known for $K$ time slots a priori, and the battery capacity and the maximum transmission power in each time slot are bounded. The network consists of N$ transmitter-receiver pairs and the objective is to maximize the sum-rate of all communication links over the K$ time slots by assigning the transmission power and bandwidth for each transmitter in each slot. The problem is formulated as a convex optimization problem with constraints, where N$ is the number of the receivers, making it hard to solve with a generic convex solver. An iterative algorithm is proposed based on efficiently solving two subproblems in each iteration, that has an overall complexity of {\cal O}(NK^2). The convergence and the optimality of this algorithm are also shown. Moreover, a heuristic algorithm is also proposed for energy-bandwidth allocation based on causal information of channel and energy harvesting states. Simulation results show that the proposed causal and noncausal algorithms can make efficient use of the harvested energy and the available bandwidth. And they achieve significantly higher rates than some heuristic policies for energy and bandwidth allocation. [ABSTRACT FROM AUTHOR]

Analysis and monitoring of traffic measurements can provide a useful tool for diagnostics, troubleshooting, and performance analysis in networks. This paper presents a method for traffic analysis based on the theory of extreme values. Numerical time series obtained from traffic measurements are processed to compute statistical indicators and analyze them to detect significant local features, which may point to some critical network behavior. [ABSTRACT FROM AUTHOR]

Mitigation of interference among adjacent radio systems is a topic of growing interest as the spectrum occupation increases. Site-shielding techniques appear as a method of improving millimeter-wave wireless communication system design, allowing frequency reuse and reducing cochannel interference. The viability of applying such techniques to systems operating in frequency bands around 40 GHz is the aim of this paper. Several propagation mechanisms are experimentally studied, including transmission across building obstacles, depolarization, reflection, and diffraction. The performance of some theoretical models of the different scattering mechanisms has been compared with measurement results. The measuring and processing procedures have also been improved. Values of the dielectric parameters of the materials in this frequency band have been obtained and are given in this paper. The attenuation results indicate that various materials, such as mortar, brick, and concrete walls, that present large values of attenuation in decibels per centimeter, can be used to shield base stations, reducing the frequency reuse distance in radio cellular networks. It can also be concluded that there is a significant diffracted field in the shadow region of brick corners. [ABSTRACT FROM AUTHOR]

Efficient water management is a major concern in many cropping systems in semiarid and arid areas. Distributed in-field sensor-based irrigation systems offer a potential solution to support site-specific irrigation management that allows producers to maximize their productivity while saving water. This paper describes details of the design and instrumentation of variable rate irrigation, a wireless sensor network, and software for real-time in-field sensing and control of a site~specific precision linear-move irrigation system. Field conditions were site-specifically monitored by six in-field sensor stations distributed across the field based on a soil property map, and periodically sampled and wirelessly transmitted to a base station. An irrigation machine was converted to be electronically controlled by a programming logic controller that updates georeferenced location of sprinklers from a differential Global Positioning System (GPS) and wirelessly communicates with a computer at the base station. Communication signals from the sensor network and irrigation controller to the base station were successfully interfaced using low-cost Bluetooth wireless radio communication. Graphic user interface-based software developed in this paper offered stable remote access to field conditions and real-time control and monitoring of the variable-rate irrigation controller. [ABSTRACT FROM AUTHOR]

This paper proposes a cross-layer optimization framework for the wireless sensor networks. In a wireless sensor network, each sensor makes a local observation of the underlying physical phenomenon and sends a quantized version of the observation to a central location via wireless links. As the sensor observations are often partial and correlated, the network performance is a complicated and nonseparable function of individual data rates at each sensor. In addition, due to the shared nature of wireless medium, nearby transmissions often interfere with each other. Thus, the traditional "bit-pipe" model for network link capacity no longer holds. This paper deals with the joint optimization of source quantization, routing, and power control in a wireless sensor network. We follow a separate source and channel coding approach and show that the overall network optimization problem can be naturally decomposed into a source coding subproblem at the application layer and a wireless power control subproblem at the physical layer. The interfaces between the layers are precisely the dual optimization variables. In addition, we introduce a novel source coding model at the application layer, which allows the efficient design of practical source quantization schemes at each sensor. Finally, we propose a dual algorithm for the overall network optimization problem. The dual algorithm, when combined with a column-generation method, allows an efficient solution for the overall network optimization problem. [ABSTRACT FROM AUTHOR]

Large portions of a winder's control system software are tested during commissioning. This is inefficient because production is stopped and financial pressures limit the time available for testing. However, it avoids the cost of integrating the winder and electrical drive system before installation. This paper describes a winder simulator that allowed control system software to be tested before installation. Shipping roll build up, parent roll build down, mechanical brakes, and a two-drum windup model were developed. These models were used to simulate the winder, web, and drive system dynamics in real time with a dedicated programmable logic controller (PLC). This PLC provided signals for the winder PLC that would normally be supplied by the drive system and various sensors. The simulator was verified with data from a previously installed winder. The use of the simulator before installation of a new winder demonstrated the benefits of pre-installation software testing. [ABSTRACT FROM AUTHOR]

This article discusses diagnosis of complex systems along with the methodologies of the FDI and DX communities. The proliferation of new technologies has significantly increased the complexity of human designed systems. Typical examples are controlled systems, such as manufacturing plants, aircraft, and spacecraft. Maintaining safety, reliability, and uninterrupted operation of these systems have become very important issues. Given the importance of this problem for safety-critical systems, a broad spectrum of approaches has been developed to cope with the diversity and complexity of the diagnosis task.

High-power electromagnetic (HPEM) signals are a serious threat for modern electronic systems. Intentionally generated electromagnetic interferences might cause upsets or permanent defects in electronics, particularly in the electronics' interface. There are numerous military and especially civil targets, which might be interesting for criminals or terrorists to interfere. Therefore, there is a need to characterize the overall problem by means of simulations and measurements. This paper discusses measurement procedures for conducted HPEM signals. The measurement of transmission line coupled HPEM signals with a steepness in the order of 10.10E14 V/s is a very challenging task. This paper discusses the state of the art in electromagnetic pulse measurements with a focus on conducted ultra wide band and HPEM signals respectively. [ABSTRACT FROM AUTHOR]

In this paper, we address the problem of optimal decentralized traffic engineering when multiple paths are available for each call. More precisely, given a set of possible paths for each call, we aim at distributing the traffic among the available paths in order to maximize a given utility function. To solve this problem, we propose a large family of decentralized sending rate control laws having the property that each of the members of this family “steers” the traffic allocation to an optimal operation point. The approach taken relies on the control theory concept of Sliding Modes. These control laws allow each ingress node to independently adjust its traffic sending rates and/or redistribute its sending rates among multiple paths. The only nonlocal information needed is binary feedback from each congested node in the path. The control laws presented are applicable to a large class of utility functions, namely, utility functions that can be expressed as the sum of concave functions of the sending rates. We show that the technique can be applied not only to usual rate adaptive traffic with multiple paths, but also to rate adaptive traffic with minimum service requirements and/or maximum allowed sending rate and to assured service with targeted rate guarantee, all allowing for multiple paths. It is also shown that these control laws are robust with respect to failures; i.e., they automatically reroute traffic if a link failure occurs. Finally, we provide some insight on how to choose the “right” control law. In particular, we provide a way of choosing a member of the family of control laws that reduces the sending rate oscillation caused by implementation constraints like delays and quantization. An example of application of the approach delineated in this paper is also presented. This example provides some insights on the implementation aspects and illustrates the robustness of the control laws developed in this paper. [ABSTRACT FROM AUTHOR]

All-CMOS radio transceivers and systems-on-a-chip are rapidly making inroads into a wireless market that for years was dominated by bipolar and BiCMOS solutions. It is not a matter of replacing bipolar transistors in known circuit topologies with FETs; the wave of RF CMOS brings with it new architectures and unprecedented levels of integration. What are its origins? What is the commercial impact? How will RF CMOS evolve in the future? This paper offers a retrospective and a perspective. [ABSTRACT FROM AUTHOR]

Computer communication systems are complex systems in which both computing power and communications capabilities play a key role. Examples of such systems range from worldwide data and voice communications networks to local area networks, and even encompass the more recent multiprocessor computer systems. In the past, the design and development of such systems has been done in a fairly ad hoc manner. However, it is increasingly apparent that in order to understand and develop sucy systems, it is necessary to have a more systematic approach to designing and studying such systems.

A passive compressive device (PCD), which works at millimeter waves, is proposed in this paper. In a passive manner, the device allows to compress the signals from multiple separate channels into a single or a reduced number of channels. This permits a simplification of the transmitter or receiver chains for radar imaging applications. The PCD is a 3-D cavity that ensures each channel to be decorrelated with each other. If the transfer functions are known, the compressed signals are decompressed in postprocessing. This paper proposes a suitable method to estimate simultaneously the transfer functions of the PCD. This is validated by measurements in a multiple-input-multiple-output (MIMO) configuration to produce a complex synthetic aperture radar image. Measurements revealed that the point spread function generated by the MIMO configuration with the use of the PCD leads to almost similar results, in terms of spatial resolution and sidelobe level ratio, as those of a single-input-multiple-output configuration (uniform amplitude), with a fewer receiving elements. [ABSTRACT FROM AUTHOR]