nils-herrmann/clean_scirepeval huggingface dataset:
An Expedited Predictive Distributed Antenna System Based Handover Scheme for High-Speed Railway

High-speed train (HST) has drawn considerable attention and become one of the most preferable conveyance mechanisms. Every year the manufacture corporations achieve a higher speed record and expect to attain 1000 km/h by 2021 using hyperloop one technology. Moving at such a high speed results in a high handover rate which makes it challenging for high speed railway (HSR) mobile wireless communication to preserve steady link performance. Employing distributed antenna systems (DASs) along with the two-hop architecture, this paper proposes a fast predictive handover algorithm. In this strategy, the serving cell starts the handover preparation phase in advance by inferring the train's current location. Issuing the handover preparation phase in advance reduces the handover latency and handover command failure probability as well. Lower handover command failure probability means lower handover failure probability which could greatly improve the end-users' quality of services (QoS). The analytical results show that the proposed scheme outperforms the conventional handover scheme.
Performance of turbo coded FH/MFSK in shallow water acoustic channel

This paper is concerned with the performance of turbo coded FH/MFSK system in adverse shallow water acoustic channel. A soft decision statistic extraction algorithm suitable for noncoherent orthogonal M-ary FSK demodulation is presented. Then the system's bit error probability performance with SOVA and Log-MAP decoding algorithm is carefully investigated through computer simulations and lake trials. Both simulations and analyses of lake trials demonstrate the excellent performance of this integrated approach to reliable acoustic communications.
The correlation analysis and prediction between mobile phone users complaints and telecom equipment failures under big data environments

According to cellphone customer complaints data and telecommunications equipment failures data provided by company, the correlation analysis and prediction are carried out under environment of Hadoop2.0 for fault prediction timely. Firstly, the main cause of customer's complaints was found out by using hierarchical clustering method. Then, the association rules between customer complaints and equipment failures were mined by using APRIOR algorithm, Finally, the prediction model was established based on decision tree, using it to predict the equipment failures with the main cause of customer complaints. The single-node fault problem of Hadoop1.0 was solved and the cluster implemented independent resource management and scheduling under the architecture of Hadoop2.0.
Flexible Mode Selection and Complexity Allocation in High Efficiency Video Coding

To improve compression performance, High Efficiency Video Coding (HEVC) employs a quad-tree based block representation, namely Coding Tree Unit (CTU), which can support larger partitions and more coding modes than a traditional macroblock. Despite its high compression efficiency, the number of combinations of coding modes increases dramatically, which results in high computational complexity at the encoder. Here we propose a flexible framework for HEVC coding mode selection, with a user-defined global complexity factor. Based on linear programming, a hierarchical complexity allocation scheme is developed to allocate computational complexities among frames and Coding Units (CUs) to maximize the overall Rate-Distortion (RD) performance. In each CU, with the allocated complexity factor, a mode mapping based approach is employed for coding mode selection. Extensive experiments demonstrate that, with a series of global complexity factors, the proposed model can achieve good trade-offs between computational complexity and RD performance.
Group MAD Competition? A New Methodology to Compare Objective Image Quality Models

Objective image quality assessment (IQA) models aim to automatically predict human visual perception of image quality and are of fundamental importance in the field of image processing and computer vision. With an increasing number of IQA models proposed, how to fairly compare their performance becomes a major challenge due to the enormous size of image space and the limited resource for subjective testing. The standard approach in literature is to compute several correlation metrics between subjective mean opinion scores (MOSs) and objective model predictions on several well-known subject-rated databases that contain distorted images generated from a few dozens of source images, which however provide an extremely limited representation of real-world images. Moreover, most IQA models developed on these databases often involve machine learning and/or manual parameter tuning steps to boost their performance, and thus their generalization capabilities are questionable. Here we propose a novel methodology to compare IQA models. We first build a database that contains 4,744 source natural images, together with 94,880 distorted images created from them. We then propose a new mechanism, namely group MAximum Differentiation (gMAD) competition, which automatically selects subsets of image pairs from the database that provide the strongest test to let the IQA models compete with each other. Subjective testing on the selected subsets reveals the relative performance of the IQA models and provides useful insights on potential ways to improve them. We report the gMAD competition results between 16 well-known IQA models, but the framework is extendable, allowing future IQA models to be added into the competition.
Multi-exposure image fusion: A patch-wise approach

We propose a patch-wise approach for multi-exposure image fusion (MEF). A key step in our approach is to decompose each color image patch into three conceptually independent components: signal strength, signal structure and mean intensity. Upon processing the three components separately based on patch strength and exposedness measures, we uniquely reconstruct a color image patch and place it back into the fused image. Unlike most pixel-wise MEF methods in the literature, the proposed algorithm does not require significant pre/postprocessing steps to improve visual quality or to reduce spatial artifacts. Moreover, the novel patch decomposition allows us to handle RGB color channels jointly and thus produces fused images with more vivid color appearances. Extensive experiments demonstrate the superiority of the proposed algorithm both qualitatively and quantitatively.
Perceptual Image Coding Based on a Maximum of Minimal Structural Similarity Criterion

Perceptual image coding algorithms typically impose perceptual modeling in a preprocessing stage. A perceptual normalization model is often used to transform the original image signal into a perceptually uniform space, in which all the transform coefficients have equal perceptual importance. Standard coding schemes are then applied uniformly to all coefficients. Here we use a different approach, in which we iteratively reallocates the available bits over the image space based on a maximum of minimal structural similarity criterion. We demonstrate the proposed method by incorporating it with the bitplane coding scheme in the set partitioning in hierarchical trees algorithm.
Optimum subpacket transmission for hybrid ARQ systems

Hybrid automatic-repeat-request (ARQ) is a flexible and efficient technique for data transmissions. In hybrid ARQ, subpacket schemes are more attractive for systems with burst errors than complete packet schemes. Although subpacket schemes were proposed in ARQ systems, optimum subpacket transmission is more effective to maximize throughput in a dynamic channel. Since convolutional codes have properties of burst errors in decoding, the optimum subpacket can be applied to convolutional codes. This paper investigates the performance of subpacket transmission for convolutionally coded systems. An efficient method is proposed to estimate the optimum number of subpackets, and adaptive subpacket schemes, i.e., schemes that enable a system to employ different optimum numbers of subpackets under various conditions, are suggested to achieve the maximum throughput of the system. Numerical and simulation results show that the adaptive subpacket scheme is very effective for the convolutionally coded hybrid ARQ system, and it can provide higher throughput, smaller delay,and lower dropping rate than complete packet schemes. Moreover, the adaptive subpacket scheme can be flexibly used with packet combining techniques to further improve the system throughput.
An Imaging and Measurement System for Robust Reconstruction of Weld Pool During Arc Welding

Robust measurement of the specular weld pool surface can help better understand the complex welding processes and provide feedback for robotic welding. The strong arc light and the specular surface of the weld pool make it difficult for the direct sensing measurement. In this paper, a novel imaging and measurement system is proposed, and it makes use of the strong penetrability of the laser to avoid the interference of arc light and obtain the surface information of the weld pool. By intercepting the reflection of a projected laser pattern twice, the proposed system gives a closed-form solution for each reflected ray and a closed-form solution for the corresponding point on the weld pool surface. The weld pool surface can be thus reconstructed by one-shot structured light projection. To increase the robustness of the measurement system, the least deformation principle is proposed to rectify the coefficient errors of the computed plane equation. Finally, a sequence of 3-D weld pools is reconstructed and compared with state-of-art literature. The comparison verifies that our method is significantly better than all the other methods in measuring the 3-D weld pool shapes.
Adaptive Chunk-Based Allocation in Multiuser OFDM Systems

Chunk-based resource allocation can effectively reduce the complexity of resource allocation in multiuser orthogonal frequency division multiplexing (OFDM) systems by grouping a number of neighboring subcarriers into a chunk and being carried out chunk by chunk. To ensure the bit error rate (BER) constraint within a chunk, an adaptive BER-based chunk allocation scheme is proposed and analyzed in this paper with the objective of maximizing the average throughput under a limited total transmit power. Numerical results illustrate that under the same power constraint, the average throughput of the adaptive chunk allocation is very close to that of the subcarrier-based allocation in the multiuser OFDM system.
Performance of Turbo-coded OFCDM Systems with Soft MCI Cancellation

This paper investigates the performance of turbo-coded orthogonal frequency and code division multiplexing (OFCDM) systems with soft multi-code interference (MCI) cancellation. In order to regenerate the soft interference signal, the conventional turbo decoding algorithm must be modified to provide log likelihood ratio (LLR) values for all coded bits. Based on the LLR outputs of turbo decoder, two soft decision functions are proposed, i.e., LLR-soft-decision and Gaussian-soft-decision functions. By means of computer simulations, it is shown that in a highly frequency selective channel, soft MCI cancellation and MMSE detection can significantly improve the performance of turbo-coded OFCDM systems. Two iterations in turbo decoding are sufficient for both hard and soft decision functions. The proposed soft decision functions outperform the hard decision function with various channel conditions and system parameters.
The silicon matrix for the prototype for the Dark Matter Particle Explorer

In this paper, a silicon matrix detector is described and the results of the cosmic ray test are given. The silicon matrix is composed by the 180 silicon PIN detectors, which covers an area of 32 * 20cm2. The data of whole detectors is read out by the ASIC chips, and suppressed by an FPGA. In the test system, the trigger is given by two plastic scintillators, which are placed above and beneath the silicon matrix. The MIPs energy spectrum is shown in this paper. In further test, a small plastic scintillator is inserted to give a differential cosmic ray counting response.
A testing platform for on-drone computation

This paper describes the development of a test bed for an on-drone computation system, in which the drone plays the game of ping-pong competitively (YCCD: The Yorktown Cognitive Competition Drone). Unlike other drone systems and demonstrators YCCD will be completely autonomous with no external support from cameras, servers, GPS etc. YCCD will have ultra-low power computation capabilities including on-drone real-time processing for vision and localization (non-GPS based). Architectural design and processing algorithms of the system are discussed in detail.
Hybrid DS/SFH-SSMA with predetection diversity and coding over indoor radio multipath Rician-fading channels

The authors investigate the bit-error-rate (BER) performance of hybrid direct-sequence/slow-frequency-hopped spread-spectrum multiple-access (DS/SFH-SSMA) systems operating over a multipath Rician-fading channel (which models indoor radio propagation in factories). They consider both phase-shift-keying (PSK) modulation with coherent demodulation and differential phase-shift-keying (DPSK) modulation with noncoherent demodulation. Predetection multipath diversity (maximal ratio combining for coherent reception and equal gain combining for noncoherent reception) and simple interleaved channel coding are employed for improving the BER performance. The BER of both coherent and noncoherent hybrid systems is obtained using a Gaussian interference approximation.
QAM with interference cancellation for high-speed multicode CDMA

The potential of multi-level modulation for forward link of multicode CDMA systems with interference cancellation to support high data rate service is studied. In third generation (3G) CDMA systems, multicode and/or multicarrier modulation schemes are used to support high data rate service, meanwhile, quadrature amplitude modulation (QAM) is a more promising candidate for transmission of even higher rate data due to its high spectrum efficiency. In this paper, the BER performance of the M-QAM WCDMA system with interference cancellation is evaluated. Numerical results show that a M-QAM wideband CDMA system is more sensitive to the channel estimation error. Moreover, with high quality channel estimates, 16-QAM or 64-QAM with multicode interference cancellation in the WCDMA system is more attractive to increase the system capacity.
MMSE receiver for multicarrier CDMA overlay in ultra-wide-band communications

Multicarrier direct-sequence code-division multiple-access (MC-CDMA) overlay has been proposed to be used for ultra-wide-band (UWB) communications. Interference reduction and interference suppression are the key issues for sharing the spectrum in harmony between the established narrow-band systems and the overlaid UWB system. In this paper, investigation is carried out on the use of compromising measures incorporated to the MC-CDMA overlay to meet these goals, as well as on their impacts to the involving parties. At the transmitter, interference reduction to the established narrow-band systems is done by using notch filters. A multipath Nakagami fading channel is assumed. At the receiver, the interference suppression from those narrow-band systems is fulfilled by minimum mean square error (MMSE) detection technique. Numerical results show that precombining MMSE with selective-maximal combining provides the UWB system with much better performance than the receiver made up of notch filter in cascade with code correlator.
Research on Innovative Education Thoughts and Teaching Methods for China Universities

The age of knowledge-based economy is a full new information age when economic resource is based on knowledge, establishing the innovative education thoughts and innovative talent training mode adapted to the age will be an important topic for higher education to face and resolve. Based on the background of knowledge-based economy and information society, and combining with the features and current status of china universities education and talent training, the university innovating educational ideas and talent training methods are proposed and systematically discussed.
The OODA loop robustness evaluation based on OSOS combat network

It is a difficult issue to design metrics of measure of the OSOS capabilities, which are emergent properties of OSOS. The concept of the OODA loop robustness is proposed in this paper and it is closely related to the overall capabilities of OSOS. A new method to measure the OODA loop robustness is discussed. Firstly, we established the OSOS combat network model. Based on the weighted network, then we proposed to use the Perron-Frobenius Eigenvalue (PFE) of the adjacency matrix of the network to measure the OODA loop robustness. Simulations showed that there was a strong correlation between the PFE and the metric of OSOS operational effectiveness, which verified that the PFE metric was useful in the OSOS capabilities evaluation.
Two-Stage Acquisition in Time-Hopping Impulse Radio Systems for UWB Communications

Ultra wideband impulse radio is a promising radio technology for networks delivering extremely high data rates at short ranges. The use of extremely short duration pulses however makes synchronization task more difficult. In this paper a two-stage acquisition with serial search noncoherent correlator for time hopping impulse radio is proposed. The proposed two-stage acquisition scheme gets chip timing synchronization, and aligns phase of the local time-hopping code in two stages successively. With the aid of flow-graph approach, the analytical expressions are presented for the mean acquisition time and the probability of acquisition. Numerical results in a slow fading channel show that the proposed two-stage acquisition method can offer much shorter mean acquisition time or much higher probability of acquisition than that of the conventional acquisition.
Complex Wavelet Structural Similarity: A New Image Similarity Index

We introduce a new measure of image similarity called the complex wavelet structural similarity (CW-SSIM) index and show its applicability as a general purpose image similarity index. The key idea behind CW-SSIM is that certain image distortions lead to consistent phase changes in the local wavelet coefficients, and that a consistent phase shift of the coefficients does not change the structural content of the image. By conducting four case studies, we have demonstrated the superiority of the CW-SSIM index against other indices (e.g., Dice, Hausdorff distance) commonly used for assessing the similarity of a given pair of images. In addition, we show that the CW-SSIM index has a number of advantages. It is robust to small rotations and translations. It provides useful comparisons even without a preprocessing image registration step, which is essential for other indices. Moreover, it is computationally less expensive.
Auction-Based Scheduling in Non-Cooperative Multiuser OFDM Systems

We study the problem of achieving proportional fair resource allocation in a non-cooperative multiuser OFDM network. We propose an auction-based scheduling algorithm, which combines the merits of the VCG auction and the greedy MC PF algorithm, to ensure that wireless users truthfully declare their resource requirements even though the users are inherently selfish. Through simulations, we find that users lying about their resource requirements are severely penalized by very high payments so that they should rather declare true valuations of subcarriers to the scheduler. Thus, the proposed auction-based scheduling algorithm can be used efficiently in a non-cooperative situation to realize proportional fairness.
Chunk-based resource allocation in OFDMA systems - part I: chunk allocation

In this paper, throughput performance analysis of the chunk-based subcarrier allocation is presented by considering the average bit-error-rate (BER) constraint over a chunk in downlink multiuser orthogonal frequency division multiplexing (OFDM) transmission. The outage probabilities per subcarrier are compared between the average BER-constraint based chunk allocation and the average signal-to-noise-ratio (SNR) based chunk allocation. The effects of system parameters, such as the number of users, the number of subcarriers per chunk, and the coherence bandwidth, are evaluated. The numerical results show that, when the chunk bandwidth is smaller than the coherence bandwidth, the average downlink throughput of the chunk-based subcarrier allocation is very close to that of the single-subcarrier-based allocation. When the number of users is small, the average throughput increases dramatically with increasing the number of users due to multiuser diversity, whereas when the number of users is large, the multiuser diversity gain is saturated. The effective throughput of the average BER-constraint based chunk allocation is higher than that of the average SNR based chunk allocation, especially when the number of users is large or when the ratio of the chunk bandwidth to the coherence bandwidth is large.
Multiple hops/symbol fast frequency-hopping spread spectrum multiple access with coding for indoor radio

The paper is concerned with the bit error rate (BER) performance of multiple hops/ symbol fast-frequency-hopped spread-spectrum multiple-access (FFH-SSMA) systems operating through an indoor radio multipath Rayleigh fading channel. M-ary frequency-shift-keying (MFSK) modulation with noncoherent square-law envelope demodulation and Reed-Solomon (RS) coding is considered. Results obtained in this study show that an FFH-SSMA system is not sensitive to the changes in the number of paths. Employing RS coding with an increased number M of MFSK signals yields a significant improvement in BER performance. Assuming a given system bandwidth, using a single hop per symbol is the best solution when the multiaccess interference can be large. Using several hops per symbol is more advantageous when the multiaccess interference is small.
Effect of imperfect channel estimation on transmit diversity in CDMA systems

In this paper, the effect of imperfect channel estimation on the transmit diversity based on space-time block coding for the downlink of a direct-sequence code-division multiple-access system is studied. Two transmit antenna and one receiving antennas are employed. However, the results of this paper can be extended to the system with more receiving antennas. Each channel is modeled as frequency-selective Rayleigh fading and the pair of channels corresponding to two transmit antennas are mutually independent. Both spatial diversity gain and multipath diversity gain are obtained in the system. The system performance is evaluated in terms of bit-error rate under the perfect and imperfect channel estimation. A pilot-assisted channel-estimation scheme with one common spreading code sequence is exploited. It is shown that the inaccurate channel estimates suffering from multiple access and multipath interference significantly degrade the system performance and can be effectively improved by use of a simple low-pass filter. The investigation of the power ratio of pilot to data channels illustrates that the base station should dynamically adjust the transmit power of the pilot channel according to the varying system configurations in order to achieve the best performance.
Optimal service policy in the presence of demand referral and online word-of-mouth

This paper studies an online retailing supply chain system in which infomediary provides demand referral service to Internet retailer. We assume that the online demand is affected by retailer price, referral service effort and word-of-mouth. The demand function is developed based on Bass's model. A service cooperation model is established and then the optimal decisions of retailer's price and infomediary's effort in decentralized supply chain are presented. Moreover, the supply chain profits and cumulative sales in supply chain equilibrium are analyzed under several parameters respectively.