Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis and reduction of vibration and acoustic noise in the switched reluctance drive

The authors describe the results of an extensive study into the production and reduction of acoustic noise and vibration in the switched reluctance motor drive. Time domain analysis has been used to draw conclusions about the effects of changing the operating parameters of the power electronic controller on the vibration and acoustic noise. Experimental results have been obtained on a four-phase switched reluctance drive with one, two, or four phase excitation. The results of this time-domain study reveal important information which would not be apparent from frequency spectra. The results have been used to derive operational concepts for the power electronic controller to reduce the acoustic noise and vibration produced by the motor. Based on these results, a successful control technique has been developed. Using this control method, the vibration and acoustic noise can be dramatically reduced without affecting the performance of the drive. <<ETX>>
ERROR DATA ANALYZING OF THE INTEGRATION OF THE SENSORS WITH DIFFERENT MEASURING BOUNDARIES IN DYNAMIC ENVIRONMENTS

Data accuracy is important to determine a target. Mobile robots are used in dynamic environments. At dynamic environments, the noise factor and situation of objects are changeable. A sensor may not work properly in dynamic environmenst. The noise factor affects getting accurate data negatively. These factors depend on sensor types. Therefore, one of the goals of sensor integration i, to quench one or more sensor disadvantages by using other sensor or sensors, get more accurate and reliable data, reduce noise factor, determine and analyze more options of target or targets. Every sensor has a measurement range and this range changes according to the sensor types. The sensor has two boundaries; lower boundary and upper boundary. It is usually zero below the lower boundary. Above the upper boundary it keeps the maximum output value and Is usually stable. Essentially, the sensor data over the range called error data. If the value to be measured in an integration composed of the sensors is out of ranges of some sensors, the data of these sensors is to be eliminated. Eliminated data are bad data. Error data analyzing methods are used to determine bad data. Chauvenet’s criterion is one of these methods. A new model eliminating the sensor data is developed. The logic equations are used in Chauvenet’s criterion in this model to determine the data is over range or not. The logic equations are used in Chauvenet’s criterion in this model to determine if the data is over range or not.
Community Networks or Networked Communities?

The article provides an overview of the state of the art in community networks. Forty community networks were reviewed. A protocol was developed to guide the evaluation of each site. The protocol covered the types of information currently provided and whether the network contributes to the social capital of the community. It was found that communities are now served by several types of Web sites: nonprofit community networks, those administered by local governments, and various commercial sites. It does not appear that either individually or in combination the Web sites are working to strengthen the social capital of the communities they serve. It is recommended that a community’s information networking organizations work together to provide integrated resources and programs that foster community dialogue and help people better meet their citizenship responsibilities, as well as up-to-date information on community events and real-time information about traffic, weather, and the like.
Towards more cost saving under stricter ramping rate constraints of dynamic economic dispatch problems-a genetic based approach

Due to the dynamic ramping rate constraint, the dynamic economic dispatch (DED) problem generates extra burden for the conventional deterministic techniques. These techniques run the high risk of false dispatches, where a cost optimal solution may violate the power limits and/or ramping rate constraint, and power redispatch becomes essential to force the solution to be inside the feasible region. The operational strategy thus obtained may not be optimal, and the search procedure can be time consuming. By working at the reverse way, genetic algorithms only generate and search for the optimal solutions within the feasible operating region, and gradually move them towards the cost optimal solutions. In this way, not only the ramping rate constraint imposes no extra burden to the GA search, it in turn helps in finding a better strategy to operate power system smoother, safer and more economic. The suitability and capability of the GAs in dealing with the rate constraint on the DED problem is clearly demonstrated in this paper on a 25 generator system which is derived from a practical supply system-Northern Ireland Electricity (NIE).
A doubly salient doubly excited variable reluctance motor

A variable reluctance motor is introduced to help solve the energy circulation problems which exist during commutation in conventional variable motors (VRMs). The motor enables the energy stored in the magnetic field to be retained and utilized within the motor instead of being returned back to the source. The operating principles of the motor and associated power converters are presented. The analysis shows that, by employing both short pitch and full pitch windings, this new motor can eliminate the problems of current commutation and energy circulation without extra conductors in the slots. This motor has the following advantages over conventional VRMs: it allows a significant improvement in the turn-off process and therefore allows higher speed capacity than conventional VRMS; the machine has higher output because of the improvement of the turn-off performance and the utilization of the trapped energy. It can have higher output with the same converter or the same output with a smaller converter because of the improvement of the energy conversion ratio. <<ETX>>
Modeling, control and obstacle avoidance of a mobile robot with an onboard manipulator

A systematic approach for modeling and base motion control of a mobile vehicle with an onboard robot is presented. Feedback linearization is used to take into account the complete dynamics with nonholonomic constraints. Methods from potential field theory are incorporated to provide resolution among possibly conflicting performance goals (e.g. maintaining a desired course and speed plus obstacle avoidance). The feedback linearization provides an inner loop that accounts for possible motion of the onboard arm. The case of maintaining a desired course and speed is considered. The outer control loop is designed using potential field theory, with the two objectives of homing and avoiding an obstacle. <<ETX>>
Location-independent access in mobile systems

We report on the design of a protocol for transparent, location-independent access in mobile systems. The protocol, termed Mobile Client/Server Protocol (MCSP) is an implementation of a communication layer on a mobile host and a stationary machine within the network and provides middleware functionality. The MCSP supports communication services through the client/server paradigm to transaction-oriented applications distributed between the mobile and a set of service and information brokers. To support the mobile (and wireless) environment, a surrogate process is created within the fixed network that performs operations on behalf of the mobile within the fixed network. The MCSP then loosely couples the communicating entities, thus reducing the overhead associated with handoffs and disconnects, so characteristic to the mobile environment. Of particular interest is the application of the MCSP to location-based services, for example, the intelligent vehicle highway systems.
Location by collision

The author shows how it is possible to establish location without adding to or modifying the environment. The only sensors required in the scheme are proximity or touch sensors. As the robot moves about its environment it may on occasion collide with environment or object boundaries. The distance between collisions can be used to recalibrate the robot's positon. A collision, after all, unambiguously locates a robot on a line or curve in a 2D representation of the environment, where these lines or curves in the environment map represent the region or object boundaries. The distance between collisions provides considerable information for robot positioning. A probabilistic approach is presented to determining the most likely collision point after a sequence of collisions. <<ETX>>
NEW RESEARCH DIRECTIONS IN THE AREA OF SMART PHONE FORENSIC ANALYSIS

The proliferation of smart mobile phones with diverse features makes it possible to increase their use in criminal activities. The fast technological evolution and presence of different smart phones and their proprietary operating systems pose great difficulties for investigators and law enforcement officials to choose the best tool for forensics examination, accurate recovery and speedy analysis of data present on smart phones. This paper presents a literature review on smart phone forensic techniques for different platform. As a result of comprehensive analysis of these techniques, it has been found that there is no generic forensic technique or tool available which can perform the forensic analysis of all currently available different smart phones. Further, there is a need to develop a generic technique for forensic analysis of a variety of different smart phones. This generic technique should perform the forensic of currently available different smart phones on the crime scene without need to attach the smart phone with computer. Further, it will help the investigators to do their jobs easily and more efficiently. The proposed technique need to be implemented and tested on different smart phones to validate its performance and accuracy.
A model for learning human reaching-movements

Reaching-movement is a fast ballistic voluntary movement towards a given target. The main characteristics of such a movement are straight line and a bell shape speed profile. In this work a mathematical model for the control of the human arm during reaching-movement is presented. In analyzing the model performance in mimicking a Two Degrees Of Freedom (2DOF) human movements, the following results were observed: (I) A nonlinear muscle model yields smooth movements with zero terminal velocity in response to simple control signals. This conclusion agrees with the general idea that the motor control is a combination of muscle dynamics with nervous control. (II) A typical reaching-movement can be performed with a typical rectangular excitation to the muscles, and in this way the dimension of the control problem is reduced.
Analysis and characterization of longitudinal flux single-sided linear switched reluctance machines

Linear switched reluctance motors (LSRMs) have recently gained more popularity for propulsion drives. This paper contributes a certain design improvement to reduce the force ripple in LSRMs. By affixing a pole cap in the stator pole, the target is achieved. Finite element analysis has been carried out to predict the performance of the basic and proposed structures. Motor performances for different load conditions are simulated. The application of fast Fourier transform has been utilized to envisage the vibration frequencies. The experimental results are well correlated with the predicted results.
Using Apriori to Mine IoT Frequent Structures on Compute Cloud

By taking advantages of cloud computing technology and Internet of Things (IoT), an improved approach was proposed in this paper, which offers an efficient, fast algorithm for mining frequent structures in massive IoT datasets. The proposed data processing algorithm is preprocessing and parting data according to the traits of IoT and assuring well data parallelism. We improve Apriori algorithm based on MapReduce model, make it be able to parallel processing massive data on MapReduce model. The first step of the method is to eliminate the redundancy presents in IoT data and conduct data
Wireless local area networks in the manufacturing industry

Based on the definition of IEEE 802.11 and the requirements of real-time control and monitoring, we introduce a new protocol-Prioritized CSMA/CA-for real-time wireless local area networking. For the first time, we propose and validate several new algorithms, a constant penalty, an estimated error order and a lag first order for dynamically scheduling the traffic of wireless networked control systems. All algorithms are compared via simulation and the results show that dynamic scheduling algorithms achieve better system performance on average than static scheduling algorithms, like fixed order polling.
Solution of stereo correspondence in real scene: an analogic CNN algorithm

A multilayer analogic CNN (cellular neural network) algorithm is proposed to reconstruct surfaces from real scene stereo-pairs consisting of two images shot from one and the same camera position. The whole scene is illuminated by randomly structured light to provide texture on otherwise "empty" surfaces. One image is that of the illuminated background, the other one is the image of illuminated objects in front of the same background. <<ETX>>
A hybrid scattering model for surface parameter estimation using polarimetric SAR interferometry

In this work the potential of using the interferometric coherence at different polarization over surface scatterers to extract information about surface parameters is investigated. The sensitivity of the individual coherence contributions to surface roughness and moisture conditions is discussed and simulated using a novel hybrid polarimetric surface scattering model. The model itself consists of a coherent part obtained from the extended Bragg model and incoherent part obtained from the integral equation model. Finally, the experimental airborne SAR data are used to validate the proposed model at different polarizations.
Evaluating Trust in Ad Hoc Network Routing by Induction of Decision Trees

Routing protocols play a vital role to ensure communication on the network, but by default do not address the issues of misbehavior. It is necessary to add mechanisms that make a better selection of paths for mitigating malicious nodes and increasing network performance. The dynamic nature of ad hoc networks requires distributed and adaptive mechanisms, allowing the removal and reintegration of nodes as they change their behavior and acting more severe or mild depending on the circumstances. In this paper we propose an evaluation mechanism that aims to mitigate routing misbehavior and other network failures. Four attributes of the routes are considered: level of activity, trust, mobility and number of hops. We performed simulations using the DSR protocol in scenarios with selfish nodes and dynamic topology in order to cause anomalies in the network. The routing information obtained containing the paths taken, the success rates and the attributes of the routes. To learn the best routes, we trained the decision tree by induction using the C 4.5 algorithm. The results show that the evaluation mechanism adapts to each context and creates harder rules on hostile and unstable environments. This mechanism could improve decision-making from routing protocols, providing greater trust to the network.
An 18-34 GHz dynamic frequency divider based on 0.2 mu m AlGaAs/GaAs/AlGaAs quantum-well transistors

The design and performance of a dynamic frequency divider operating in the 18-34-GHz range are presented. The schematic of the dynamic frequency divider is shown. Two ring oscillators, each consisting of one SBFL inverter and two source followers, are fed back by transfer gates. A memory type flip-flop is used for data storage during the period when the transfer gates show high resistance due to the low voltage applied to the clock input. The circuit design is optimized by SPICE simulation on the basis of a HEMT (high electron mobility transistor) network model. Measurements on the frequency divider give an 18-GHz lower limit for stable operation. 34 GHz is measured for the maximum input frequency. The pulse diagram of the 34-GHz input and the 17-GHz output is shown. <<ETX>>
High-Accuracy Architecture-Level Power Estimation for Partitioned Arrays in a 65-nm CMOS BPTM Process

In this paper, we validate our previously proposed high- level power estimation models for a 65-nm BPTM process, using a physically partitioned 2-kB 6T-SRAM array. Also, we describe a new probing methodology that allows us to accurately capture not only subthreshold leakage, but also all other significant leakage mechanisms. By combining the probing methodology and the power models, we can estimate dynamic, leakage and total power of the partitioned 2-kB memory array with a 97% accuracy of that of full circuit-level simulations of the entire array. We also discuss the effect of partitioning on SRAM array power with respect to process technology scaling: Partitioning has the effect that leakage power constitutes an increasing fraction of total memory power, emphasizing the need to accurately capture leakage power in SRAM power models.
Singular perturbations and time scales in artificial neural networks

The learning and computing processes in a recursive neural network of the Hopfield type are identified as slow and fast phenomena. The corresponding dynamical equations are cast to fit into the framework of the theory of singular perturbations and time scales. The issues of degeneration and asymptotic expansions arising in obtaining approximate solutions are addressed. <<ETX>>
An approach for deriving object-oriented metrics

The object-oriented approach is gaining wider acceptance in the software engineering community as an alternative to structured design methodologies. The major disadvantage of structured methodologies is the discontinuity between analysis, design, and implementation phases. In object-oriented approach this problem has been taken care of as the same concepts have been extended to all the phases of software development. However, some of the common software engineering tools of structured methodologies, such as metrics, are poorly developed for object oriented designs. Software metrics help analysts, designers, programmers, and managers to comprehend software development processes and assess the system complexity. It will help managers in revising their estimates and plans for systems development. In this paper we propose a set of metrics for object-oriented analysis and design efforts. <<ETX>>
Supporting adaptive services in a heterogeneous mobile environment

Future computer environments will include mobile computers which will either be disconnected, weakly interconnected by low-speed wireless networks such as GSM (global system for mobile communications), or fully interconnected by high-speed networks ranging from Ethernet to ATM (asynchronous transfer mode). While the transition between networks is currently a heavyweight operation, we believe that developments in network interface technology will soon enable mobile computers to dynamically select their network service based on cost and performance requirements. Such flexibility, coupled with the inherent unreliability of mobile communications, means that system services and applications will be subject to rapid and massive fluctuations in the quality-of-service provided by their underlying communications infrastructure. In this paper, we discuss the design of a distributed systems platform to support the development of services which are able to tolerate this environment by dynamically adapting to changes in the available communications quality-of-service.
The memory integrated network interface

We are designing a zero-copy ATM interface call MINI, the Memory Integrated Network Interface. MR41 has a target bandwidth of I Gbits/sec and will support appli cation-to-application latency of 1.3 microseconds. MINI is a multi-user ATM interface which resides in the mem ory space of the computer system, as opposed to 1/0 space. Applications will have direct access to pages of memory which are used for the network 1/0-, thus appli cations can send and receive packets with no operating system support needed. An application can initiate packet transmission with one memory write; it can determine if a packet has arrived by checking a per-cir cuit control and status word. At the same time, the oper ating system can use MINI for its own communications and for supporting standard networking software. such as TCPAP and NFS. Initial structural VHDL simulations have shown that for single ATM cells we can "bounce'an ATM cell from appli cation to application in a round-trip-time of 39 microsec onds (including pollaig and copy urne on the relaying no&), at a bandwidth of 10 Mbyfts/secW. For 960-byte packets, the bandwidth is 103 Mbytes/second. The architecture of MINI is motivated by our experiences with applications we have run in cluster and computing envimnments. We have used from 48 to 200 computers per application, and have observed dot success ful applications am ones that use the network very bale. The MRSU design is targeted at the kinds of applications we can not curwridy run, those that need to send or receive data at very frequent intervals.
Indirect sensing for rotor flux position of permanent magnet AC motors operating in a wide speed range

This paper describes an indirect sensing, or sensorless, method for the rotor flux position in permanent magnet (PM) AC motors operating in a wide speed range, while keeping maximum torque per current and/or maximum efficiency capabilities. The method of indirect sensing the rotor flux position proposed here is particularly applicable to trapezoidal back EMF type of PM AC motors. For these types of motors, the open circuit stator phase voltages, also called back EMF, have a trapezoidal shape that contain fundamental and higher order frequency harmonics. In particular, the third harmonic component is extracted from the stator phase voltages while the fundamental and other polyphase components are eliminated via a simple summation of the three phase voltages. The resulting third harmonic signal keeps a constant phase relationship with the rotor flux for any speed and load condition, and is practically free of noises that can be introduced by the inverter switching, making this a very robust sensing method. <<ETX>>
Dithering and its effects on sigma delta and multi-stage sigma delta modulation

The spectrum of quantization noise in a dithered sigma-delta modulator and multistage sigma-delta modulator is derived under the constraint that the dithering signal does not cause overload. It is shown in the case of a simple sigma-delta modulation that no-overload dithering can smooth the noise spectrum and can make the binary quantization noise asymptotically uncorrelated with the input. It does not, however, make the noise white. In the case of multistage sigma-delta modulation with the appropriate dithering, the binary quantization noise becomes asymptotically white, even for a system with only two-stages. The signal-to-quantization-noise ratio is derived for sigma-delta and multistage sigma-delta oversampled analog-to-digital conversion with additive dithering. Simulation results are presented to support the theoretical analysis. <<ETX>>
PENGGUNAAN DATA TORSI UNTUK PENENTUAN PARAMETER MOTOR INDUKSI 3 FASA

To predict induction motor performance, induction motor parameters have to be known. This paper proposes 3 phase induction motor parameters determination with input datas, such as locked rotor torque, full load torque, breakdown torque, rated motor voltage, and full load speed, which will produce optimization problems that can be solved with one of the branch of artificial intelligence science, which is genetic algorithms, that is developed rapidly nowadays and well known has a good performance.