nils-herrmann/clean_scirepeval huggingface dataset:
Making Communication a First-Class Citizen in Multicore Partitioning

Computation-intensive image processing applications need to be implemented on multicore architectures. If they are to be executed efficiently on such platforms, the underlying data and/or functions should be partitioned and distributed among the processors. The optimal partitioning approach is the one which aims to minimize the inter-processor communication while maximizing the load balance. With the continuously increasing number of cores which exacerbates the demand for more complex memory hierarchies, non-uniform memory access, etc., on-chip communication has gained a significant role in taking advantage of the multicore chips. Therefore, making partitioning decisions just based on conventional performance results and without communication profiling is suboptimal. In this paper, we explore the behavior of a mesh decoder as a case study in terms of communication and computation, and propose models that allow early prediction of the application's behavior. Using these models, profiling the application for all of the input samples is not necessary anymore. As a result, communication- and computation-aware parallelization could be performed faster and easier.
Distributed Video Coding with Shared Encoder/Decoder Complexity

Distributed video coding is a coding paradigm that allows complexity to be shared between encoder and decoder. In this context, video coding systems have been developed with encoder complexities similar to H.263+ intra-coding, while obtaining compression performance comparable to H.263+ inter coding. The decoders in these systems typically employ motion-compensated frame interpolation or extrapolation to generate side-information. However, as motion complexity of the video sequence increases, such generators fail to provide reliable side information. This paper proposes a pixel-domain distributed video coding method, combining low-complexity encoder-side bitplane motion estimation with decoder-side motion-compensated frame interpolation. It is shown that such a system is more suitable for sequences with increased motion complexity, compared to codecs that employ motion estimation at the decoder only.
On The Possibility To Use A Hybrid Synchronous Machine As An Integrated Starter-Generator

The hybrid and mild hybrid cars require high performance integrated starter-generators (ISG). Several electrical machines were designed and used as ISGs up today. A hybrid synchronous machine (HSM) to be employed for such purpose is proposed in this paper. The HSM has the excitation field produced both by permanent magnets and auxiliary excitation winding. Three construction variants of the HSM were studied comparatively. A prototype was designed, constructed and tested. The background of the HSM, operating as a generator is discussed, too. All the obtained results, by tests or by computer simulations, emphasise that HSM could be an excellent ISG for a hybrid car.
Optimized quantization of wavelet subbands for high quality real-time texture compression

This paper proposes a new wavelet-based system for fixed-rate texture compression in 3D graphics applications. An analysis of the optimized quantization of the wavelet subbands is carried out, focusing on Lloyd-Max quantization of subband blocks as well as on quantization techniques employed in existing texture compression formats on GPUs. The results demonstrate that the proposed compression technique yields higher performance compared to existing GPU texture compression schemes and previously proposed transformed-based systems. Moreover, compared to conventional schemes, the wide range of quantization schemes results in a much wider range of available bitrates. Additionally, the proposed scheme offers real-time execution, being suitable for real time rendering applications.
Wireless low cost embedded solution for electrical motors control

The use of remote control is more and more popular as the wireless devices evolve and are easier to use. This paper describes a simple low power wireless protocol from Texas Instruments called SimpliciTI and presents a remote embedded control application. A DC motor with brushes is monitored over a wireless communication network, the speed reference is sent from a user interface running on a PC and the same interface displays the actual speed and current of the motor. For the implementation of the control algorithm and for wireless communication the EZ430-RF2500 development tool is used.
Five phase permanent magnet synchronous generator distributed winding to fractional slot concentrated winding

A comparative study of a 5 phase PMSG with classical distributed winding and one with fractional slot winding is presented in this paper. Finite element analysis has been used for both models in order to estimate there performances. Two initial conditions have been considered: keeping the same volume of permanent magnet and the same total slots section for stator winding. The main goal was to design an equivalent machine with higher power density at the same power and operation speed.
Fractional slot permanent magnet machine with outer rotor

This paper deals with the study of fractional slot permanent magnet synchronous machine, under 9 slots/10 poles structure, with outer rotor. It reports some results obtained by means of FEM-based simulation, which have as main goal the improvement of output characteristics. More specific, the inner diameter of the rotor and the stator shoe shape are modified. The analysis takes into consideration both motoring and generating duty and refer mainly to cogging torque and back emf.
Distributed Joint Source-Channel Coding With Copula-Function-Based Correlation Modeling for Wireless Sensors Measuring Temperature

Wireless sensor networks (WSNs) deployed for temperature monitoring in indoor environments call for systems that perform efficient compression and reliable transmission of the measurements. This is known to be a challenging problem in such deployments, as highly efficient compression mechanisms impose a high computational cost at the encoder. In this paper, we propose a new distributed joint source-channel coding (DJSCC) solution for this problem. Our design allows for efficient compression and error-resilient transmission, with low computational complexity at the sensor. A new Slepian-Wolf code construction, based on non-systematic Raptor codes, is devised that achieves good performance at short code lengths, which are appropriate for temperature monitoring applications. A key contribution of this paper is a novel Copula-function-based modeling approach that accurately expresses the correlation amongst the temperature readings from colocated sensors. Experimental results using a WSN deployment reveal that, for lossless compression, the proposed Copula-function-based model leads to a notable encoding rate reduction (of up to 17.56%) compared with the state-of-the-art model in the literature. Using the proposed model, our DJSCC system achieves significant rate savings (up to 41.81%) against a baseline system that performs arithmetic entropy encoding of the measurements. Moreover, under channel losses, the transmission rate reduction against the state-of-the-art model reaches 19.64%, which leads to energy savings between 18.68% to 24.36% with respect to the baseline system.
Error-resilient video coding using motion compensated temporal filtering and embedded multiple description scalar quantizers

Real time delivery of video over best-effort networks requires compression systems that dynamically adapt the rate to the available channel capacity and exhibit robustness to data loss as retransmission is often impractical. Error-resilience, however, significantly lowers the coding performance when rigid design is performed based on a worst-case scenario. This paper presents an original scalable video coding scheme that couples the compression efficiency of the open-loop architecture with the robustness of multiple description source coding. The use of embedded multiple description quantization and a novel channel-aware rate-allocation allow for shaping on-the-fly the output bit-rate and the degree of resilience. As a result, robustness to data losses is traded for better visual quality when transmission occurs over reliable channels, while error-resilience is introduced when noisy links are involved. The advantage of our proposal is demonstrated in the context of packet-lossy networks.
Efficient intra-frame video coding for low resolution wireless visual sensors

This paper proposes a low-complexity intra-frame video coding system for very low resolution sequences. The application focuses on power constrained wireless visual sensors, recording extremely low-resolution video, namely, 30×30 pixels. In the proposed framework, high-performance video coding techniques such as block-based transforms, intra prediction and entropy coding are employed. The proposed system features several different configurations, all of which are evaluated both in terms of coding efficiency and computational complexity. Based on the experimental results, the best configuration is identified. Experimental results show that the proposed configuration achieves better coding performance than the H.264/AVC Intra frame codec, at only 23.7% of its encoding complexity.
On the Rate-Distortion Function for Binary Source Coding With Side Information

We present an in-depth analysis of the problem of lossy compression of binary sources in the presence of correlated side information, where the correlation is given by a generic binary asymmetric channel and the Hamming distance is the distortion metric. Our analysis is motivated by systematic rate-distortion gains observed when applying asymmetric correlation models in Wyner-Ziv video coding. First, we derive for the first time the rate-distortion function for conventional predictive coding in the binary-asymmetric-correlation-channel scenario. Second, we propose a new bound for the case where the side information is only available at the decoder-Wyner-Ziv coding. We conjecture this bound to be tight. We show that the maximum rate needed to encode as well as the maximum rate-loss of Wyner-Ziv coding relative to predictive coding corresponds to uniform sources and symmetric correlations. Importantly, we show that the upper bound on the rate-loss established by Zamir is not tight and that the maximum value is actually significantly lower. Moreover, we prove that the only binary correlation channel that incurs no rate-loss for Wyner-Ziv coding compared with predictive coding is the Z-channel. Finally, we complement our analysis with new compression performance results obtained with our state-of-the-art Wyner-Ziv video coding system.
Combined Wavelet-Domain and Motion-Compensated Video Denoising Based on Video Codec Motion Estimation Methods

Integrating video coding and denoising is a novel processing paradigm, bringing mutual benefits to both video processing tools. In this paper, we propose a novel video denoising approach of which the main idea is reusing motion estimation resources from the video coding module for video denoising. In most cases, the motion fields produced by real-time video codecs cannot be directly employed in video denoising, since they, as opposed to noise filters, tolerate errors in the motion field. In order to solve this problem, we propose a novel motion-field filtering step that refines the accuracy of the motion estimates to a degree that is required for denoising. Additionally, a novel temporal filter is proposed that is robust against errors in the estimated motion field. Numerical results demonstrate that the proposed denoising scheme is of low-complexity and compares favorably to the state-of-the-art video denoising methods.
Environmental footprint created by thermal stresses of electrical equipment

The paper presents an impact analysis of the thermal stresses of electrical equipment impact on the environment temperature. To accomplish this were determined the steady-state overtemperatures and thermal time constants for three different sections of a busbar system, from a low voltage electric switchboard, in order to determine the thermal stresses for each case. To see how much the value of thermal stresses of electrical equipment influences the climate change was performed a study. Electricity saved from reducing Joule effect losses was equated into number of trees saved. This was realized by equating the amount of electricity saved into emission in kg of CO2, and then by knowing the amount of CO2 emission absorbed by a mature tree was determined the number of trees.
Monitoring power breakers using vibro acoustic techniques

Speaking about the commutation's equipment, it can be said that the best solution in increasing reliability and lowering the maintenance costs is a continuous monitoring of the equipment. However, if the price/quality ratio is considered, it is obvious that, for the moment, the diagnosis can be also an acceptable solution. Nowadays the predictive maintenance for equipment's diagnosis is currently replacing the preventive diagnosis. An efficient modality of lowering the maintenance costs is to online monitoring the power breakers, during their operation in the power systems. Consequently any connecting/disconnecting operations may be used in diagnosing a power breaker. Thus any supplementary and superfluous tests and/or maintenance maneuvers are avoided. The paper presents the operational maintenance in a power station with three high voltage active breakers, Areva type. The method of establishing the state of a breaker consists in the comparison between the signature of the acoustic signal provided by the manufacturer and the signal issued from the testing operation of the breaker's state. The software processing procedure and the methodology of determining the faults of the monitored equipment are also developed.
Diagnosis of industrial systems driven by electrical machines with a low cost platform

A low cost hardware platform consisting of a measurement system, a communication system and a data processing system is presented. Wired and wireless sensors are developed for supporting motor current signature analysis (MCSA), vibration signature analysis (VSA) and operational temperature monitoring. A “plug and play” software application is implemented for allowing remote computers to share this sensor data using OPC technology. Using Matlab as an OPC client, time-domain and frequency-domain signal processing techniques are used in order to determine the signatures associated with faults of locally or remote operating electrical machines.
A model-based analysis of scalable Multiple Description Coding

This paper proposes a novel Rate-Distortion (R-D) model for a generic Embedded Multiple Description Scalar Quantizer (EMDSQ). The proposed model is experimentally validated for several quantizer instantiations, showing notable accuracy. Driven by the proposed model, a detailed theoretical analysis of a general EMDSQ-based Multiple Description Coding (MDC) system is carried out. In this context, an optimized packet transmission strategy for a scalable MDC system is theoretically investigated. The analysis reveals important insights into the optimal overall redundancy and average Signal-to-Noise-Ratio (SNR) variations of the system. Our analysis, being independent of the quantizer realization, allows for drawing valuable conclusions on the theoretically achievable performance of EMDSQ-based MDC systems.
Inverse currents injection module for direct current interrupters

It is well known, actual trend in power electronics about exchange power thyristors with devices more flexible from point of view of commutation and possibility of command (IGBT, MOS transistors, GTO). There are applications, for example, DC high voltage electrical energy transmission, where because of high power switched, power thyristors remain an efficient solution. In this paper, is presented a thyristors modulator used for d.c intrerupters disconnecting at short-circuit. Design methodology of turn off groups for autonomous modulator with LC turn off circuit, it is processed by Mc. Murray and Shattuck paper. The expressions proposed for designing turn off groups are calculated in the following steps: calculation of reverse polarization time, by solving transcendental equation; determination of accumulated energy in turn off coil and finally result expressions for turn off inductivity, respective for turn off capacity.
3D Mesh coding with predefined region-of-interest

We introduce a novel functionality for wavelet-based irregular mesh codecs which allows for prioritizing at the encoding side a region-of-interest (ROI) over a background (BG), and for transmitting the encoded data such that the quality in these regions increases first. This is made possible by appropriately scaling wavelet coefficients. To improve the decoded geometry in the BG, we propose an ROI-aware inverse wavelet transform which only upscales the connectivity in the required regions. Results show clear bitrate and vertex savings. For a trivial front-back selection of the ROI and BG, rendering from the front saves up to 5 bits per vertex and up to 50% of the geometry, while appearing visually lossless.
Binary rate distortion with side information: The asymmetric correlation channel case

Advancing over up-to-date information theoretic results that assume symmetric correlation models, in this work we consider the problem of lossy binary source coding with side information, where the correlation is expressed by a generic binary asymmetric channel. Specifically, we present an in-depth analysis of rate distortion with side information available to both the encoder and decoder (conventional predictive), as well as the Wyner-Ziv problem for this particular setup. Prompted by our recent results for the Z-channel correlation case, we evaluate the rate loss between the Wyner-Ziv and the conventional predictive coding, as a function of the parameters of the binary asymmetric correlation channel.
Spatio-temporal-SNR scalable wavelet coding with motion-compensated DCT base-layer architectures

It has been demonstrated recently that 3-D wavelet coding with motion-compensated temporal filtering (MCTF) provides a wide range of spatio-temporal-SNR scalability with state-of-the-art coding performance. However, the coding system is very different from the already standardized motion-compensated DCT (MC-DCT) video coders such as MPEG-2, MPEG-4, or H.26L. Nonetheless, the market acceptance of the new scalable technology will come much easier if backward compatibility to such previous standards would exist. In this paper, we present a new coder architecture where the base layer can be a standard MC-DCT coder, while the enhancement layer is an in-band MCTF codec operating in the overcomplete wavelet domain. First, we propose a simple extension of the scalable 3-D wavelet codec with a standard MC-DCT base layer. As a second step, to improve the performance of the proposed scalable coder over a wide range of bit-rates, we describe several small extensions to the standardized MC-DCT codec structure that can be applied for the base layer coding.
Wavelet-based fixed and embedded L-infinite-constrained coding

A new wavelet-based L-infinite-constrained fixed and embedded coding technique is proposed in this paper. For any desired distortion bound, the embedded bit stream can be truncated at a corresponding bit-rate, for which the required upper bound on the individual elements of the reconstruction error signal is guaranteed. The original signal can also be coded up to a fixed a priori user-defined distortion bound, ranging up to lossless coding. The proposed coding technique supports both 2D (images) and 3D (volumetric) input data.
Embedded Multiple Description Coding of Video

Real-time delivery of video over best-effort error-prone packet networks requires scalable erasure-resilient compression systems in order to 1) meet the users' requirements in terms of quality, resolution, and frame-rate; 2) dynamically adapt the rate to the available channel capacity; and 3) provide robustness to data losses, as retransmission is often impractical. Furthermore, the employed erasure-resilience mechanisms should be scalable in order to adapt the degree of resiliency against transmission errors to the varying channel conditions. Driven by these constraints, we propose in this paper a novel design for scalable erasure-resilient video coding that couples the compression efficiency of the open-loop architecture with the robustness provided by multiple description coding. In our approach, scalability and packet-erasure resilience are jointly provided via embedded multiple description scalar quantization. Furthermore, a novel channel-aware rate-allocation technique is proposed that allows for shaping on-the-fly the output bit rate and the degree of resiliency without resorting to channel coding. As a result, robustness to data losses is traded for better visual quality when transmission occurs over reliable channels, while erasure resilience is introduced when noisy links are involved. Numerical results clearly demonstrate the advantages of the proposed approach over equivalent codec instantiations employing 1) no erasure-resilience mechanisms, 2) erasure-resilience with nonscalable redundancy, or 3) data-partitioning principles
Embedded platform for Web-based monitoring and control of a smart home

This paper presents the architecture of a low cost embedded platform for Web-based monitoring and control of a smart home. The platform consists of a distributed sensing and control network, devices for access control and a residential gateway with touch-screen display offering an easy to use interface to the user as well as providing remote, Web based access. The key issues related to the design of the proposed platform were addressed: the problem of security, the robustness of the distributed control network to faults and a low cost hardware implementation.
Fuzzy controller design of the wire feeder of invasive vascular interventional surgery robot

A fuzzy controller is established for the wire feeder of the invasive vascular interventional surgery robot in this paper. First of all, the mechanism of the wire feeder is introduced, and the axial motion is analyzed. Second, the dynamic model of the wire feeder is established. Next, the fuzzy PID controller is established to improve the positional accuracy and dynamic performance. At last, the controller is simulated by MATLAB. Comparing with normal PID controller, the fuzzy PID controller has better dynamic properties and anti-jamming ability.
Scalable motion vector coding

Recently proposed scalable wavelet-based video codecs using spatial-domain motion compensated temporal filtering (SDMCTF) offer competitive compression performance when compared to H.264 and generate embedded bit-streams supporting quality, resolution and temporal scalability. To be able to support a large range of bit-rates with optimal compression efficiency, these codecs require a quality-scalable motion vector coding technique. Such an algorithm based on the integer wavelet transform followed by embedded coding of the wavelet coefficients was proposed in the recent past. In this paper, we present a quality-scalable motion vector coding algorithm using median-based motion vector prediction. The compression performance of the proposed algorithm is compared to that of the wavelet-based technique and is found to be superior. Additionally, the proposed motion vector codec is incorporated into an SDMCTF-based video codec and the benefits of using quality-scalable motion vector representations are experimentally demonstrated.