nils-herrmann/clean_scirepeval huggingface dataset:
Locally Assembled Binary (LAB) feature with feature-centric cascade for fast and accurate face detection

In this paper, we describe a novel type of feature for fast and accurate face detection. The feature is called Locally Assembled Binary (LAB) Haar feature. LAB feature is basically inspired by the success of Haar feature and Local Binary Pattern (LBP) for face detection, but it is far beyond a simple combination. In our method, Haar features are modified to keep only the ordinal relationship (named by binary Haar feature) rather than the difference between the accumulated intensities. Several neighboring binary Haar features are then assembled to capture their co-occurrence with similar idea to LBP. We show that the feature is more efficient than Haar feature and LBP both in discriminating power and computational cost. Furthermore, a novel efficient detection method called feature-centric cascade is proposed to build an efficient detector, which is developed from the feature-centric method. Experimental results on the CMU+MIT frontal face test set and CMU profile test set show that the proposed method can achieve very good results and amazing detection speed.
Distributed load adaptive scheduling for high speed input queued switch

Input queued switching architectures have become predominant in high speed switches and routers. In this paper, we change the point of view from weight-based matching to weight-based service, and propose a distributed load adaptive scheduling (DLAS) algorithm. In DLAS, the round robin arbiters are used to find a matching between the input ports and output ports. Once the matching between an input-output pair is established, the scheduler will keep it for a certain period, which is a function of the number of cells queued in the corresponding VOQ. Simulation results show that our scheme achieves high throughput and low delay under admissible traffic. For uniform Bernoulli i.i.d. traffic, it achieves 100% throughput, and for nonuniform traffic, its throughput is almost 100%.
Error resilience video coding in H.264 encoder with potential distortion tracking

In this paper, an efficient rate-distortion (RD) model for an H.264 video encoder in a packet loss environment is presented. The encoder keeps tracking the potential error propagation on a block basis by taking into account the source characteristics, network conditions as well as the error concealment method. The end-to-end distortion invoked in this RD model is estimated according to the potential error-propagated distortion stored in a distortion map. The distortion map, in terms of each frame, is derived after the frame is encoded, which can be used for the RD-based encoding of the subsequent frames. Since the channel distortion has been considered in the proposed RD model, the new Lagarangian parameter is derived accordingly. The proposed method outperforms the error robust rate-distortion optimization method in the H.264 test model better in terms of both transmission efficiency and computational complexity.
Research on integrated modeling method and maximum power point tracking control of photovoltaic systems

To improve the energy sources efficiency, maximum power point tracking (MPPT) is usually used in the control of photovoltaic (PV) systems and is implemented by the buck converter, the boost converter and the buck-boost converter. In this article, through studying deeply the output current-voltage (V-I) characteristic of solar photovoltaic and the mathematic model of three basic DC/DC converters, an integrated modeling method interpreting the theoretical relationship between the output power and the control signal has been proposed by using MATLAB software. After building the integrated model, the ranges of output loads of PV MPPT systems with the three different DC/DC converter have been studied respectively. Finally, the three integrated MATLAB models have been built and the experimental studies have been conducted respectively. The results of simulation experiments have shown the feasibility, availability and convenience of research on MPPT control of PV systems by using this integrated modeling method.
Seamless switching of scalable video bitstreams for efficient streaming

Proposes a seamless switching scheme for scalable video bitstreams that fully takes advantage of both the high coding efficiency of non-scalable bitstreams and the flexibility of scalable bitstreams. Small bandwidth fluctuations are accommodated by the scalability of the bitstreams, while large bandwidth fluctuations are tolerated by switching between scalable bitstreams. The major contribution of this paper is a flexible and effective scheme for seamless switching between scalable bitstreams that significantly improves the efficiency of scalable video coding over a broad bit rate range. When the channel bandwidth drops below the effective range of a scalable bitstream operated at higher rates, the proposed scheme can switch at any frame from the current scalable bitstream to one operated at lower rates without sending any overhead bits. Additional bits are only necessary when switching from a scalable bitstream operated at lower rates to one operated at higher rates. Experimental results show that the proposed scheme significantly outperforms both the approach with a single scalable bitstream and the approach of switching among multiple non-scalable bitstreams.
Power system load modeling in virtual test bed

The performance of a power system during transient operating conditions is highly dependent on the type of loads connected to its nodes. Accurate load flow analysis for different system configuration is needed to determine the best power system reconfigurations. In this paper, the load modeling concept for power system simulation and analysis is explained. Several load models are derived and implemented in virtual test bed (VTB). The new models are tested and validated with Matlab/SimPowerSystem simulation results.
A Novel Volumetric Shape from Silhouette Algorithm Based on a Centripetal Pentahedron Model

In this paper we present a novel volumetric shape from silhouette algorithm based on a centripetal pentahedron model. The algorithm first partitions the space with a set of infinite triangular pyramids derived from a geodesic sphere. Then the pyramids are cut by silhouettes into a set of pentahedrons, which together constitute the centripetal pentahedron model of the visual hull. This process is accelerated by pre-computed polar silhouette graphs (PSGs) and reduced PSGs. Finally a mesh surface model is extracted by marching pentahedrons. Our algorithm has the advantages of robustness, speediness and preciseness
Group-sensitive multiple kernel learning for object categorization

In this paper, we propose a group-sensitive multiple kernel learning (GS-MKL) method to accommodate the intra-class diversity and the inter-class correlation for object categorization. By introducing an intermediate representation “group” between images and object categories, GS-MKL attempts to find appropriate kernel combination for each group to get a finer depiction of object categories. For each category, images within a group share a set of kernel weights while images from different groups may employ distinct sets of kernel weights. In GS-MKL, such group-sensitive kernel combinations together with the multi-kernels based classifier are optimized in a joint manner to seek a trade-off between capturing the diversity and keeping the invariance for each category. Extensive experiments show that our proposed GS-MKL method has achieved encouraging performance over three challenging datasets.
Depth image segmentation for improved virtual view image quality in 3-DTV

A new 3-D data representation format consisting of monoscopic color video and its associated per-pixel depth information is a most promising technique applied in future three-dimensional television system. Despite many advantages of this representation, a large problem which is so-called disocclusion still exists when synthesizing one or more virtual views of a real-world scene by means of depth image based rendering technique. In this paper, we first give an interpretation to the occurrence of disocclusion from a mathematical view, and then analyze the reasons why smoothing depth image can have some effects on disocclusion and its several drawbacks. Finally, we propose a global processing method using depth image segmentation to solve the disocclusion. Analytical and experiment results show that our proposed method can improve the quality of virtual view images to a large extent, and no geometric distortion arises.
Joint optimization of JPEG quantization table and coefficient thresholding for low bitrate mobile visual search

Low latency query delivery over wireless network is a key problem for mobile visual search. Extracting compact descriptors directly on the mobile device is computational expensive, an alternate approach is to send highly compressed JPEG query images. As JPEG baseline optimizes the rate-distortion from a perceptual perspective rather than maintaining search performance, recent work proposed to learn a feature-preserving JPEG quantization table for improved search accuracy. However, this method is data-dependent and the quantization table cannot adapt to image blocks. To address these issues, we propose to jointly optimize the JPEG quantization table and coefficient thresholding. The matching score between uncompressed image and its compressed JPEG image is employed as the distortion measure to avoid time consuming image labeling, and coefficient thresholding eliminates the redundant coefficients. Extensive experiments on benchmark datasets show that our approach obtains superior performance than state-of-the-art at low bitrates, meanwhile, it consumes lower cost including processing time, memory and battery on mobile device.
Direct Mode Coding for B Pictures using Virtual Reference Picture

The direct mode used in the bi-predictive pictures (B-pictures) can efficiently improve the coding performance of B pictures, because it has small overhead and obtains a predictive picture from two reference pictures. The traditional temporal direct mode (TDM) derives the motion vector of the current block by scaling the motion vector of the co-located block in the backward reference picture. However, when the current block and its co-located block in backward reference picture belong to different objects with different motion directions, the prediction efficiency of TDM is drastically reduced. In this paper, we propose an improved direct mode prediction method. In the method, a virtual reference picture is generated using the pixel projection technique. Then the virtual reference picture is used to predict the direct mode blocks in B pictures. The proposed method can enhance the prediction performance of the direct mode blocks and achieve a higher coding efficiency.
The applications of computational intelligence in system reliability optimization

Reliability indicates the probability implementing specific performance or function of products and achieving successfully the objectives within a time schedule under a certain environment. The optimization of system reliability plays an important role in systems maintenance planning and logistics requirements. In order to achieve more reliable systems, using redundancy is the most widely used approach in complex technical design. Solutions to those problems intend to identify the optimal combination of component selections and redundancy levels given constraints on the overall system. In general, reliability optimization problems are nonlinear programming problems and proved to be NP-hard from computation point of view. Recently, a class of heuristic search strategies, known as computational intelligence (CI), has emerged to solve the problems due to their ability to find an almost global optimal solution in a reasonable time. This paper presents an overview of the various CI methods to solve the reliability optimization problems. Guidelines for the successful use and implementation of reliability optimization are discussed and several decision variables are described that can be used to distinguish between different reliability problem types. Based on this review, several opportunities to improve and extend the current research are showed.
Learning the trip suggestion from landmark photos on the web

In this paper, we introduce a novel touristic trip suggestion system to facilitate the traveling of mobile users in a given city. Given the current user location and his touristic destination, our system can suggest a shortest trip path that visits as many popular landmarks as possible. To this end, we collect geographical tagged photos from Flickr [1] and Panoramio  photo sharing websites. Then a geographical graph is constructed by modeling photos as vertices and their geographical and visual closenesses as connection strengths. In this graph, we mine a dominant subgraph by quantizing nearby and visually duplicated vertices, and then trimming unpopular subgraphs. Such dominant subgraph only retains the popular landmarks from the consensus of travelers in this city. In online suggestion, we map the current user location and the target location to the nearest vertices in this subgraph, based on which an optimal trip is suggested through a shortest path search. We have quantitatively validated our system in typical areas including Beijing and New York City, with quantitative comparisons to alternative approaches.
Influence of the different power frequency on interruption simulation for a self-blast type 252kV SF6 circuit breaker

In this paper, an interruption simulation model for 252kV Self-blast SF6 circuit breaker is built according to the MHD theory, using real gas model and dynamic mesh method. Aiming at acquiring the characteristics and the differences of interruption under different power frequency, the gas flow field at different power frequency 50Hz and 60Hz are simulated and compared. Seven analysis points at the key area within the arc extinguishing chamber are chosen, the variation characteristics of gas pressure, temperature, velocity and Mach number at these points are obtained. Much attention is paid to the comparison of arc performance under the two frequency at current passing zero. The calculation results with 40kA current show that the distributions of gas flow field and the interruption characteristics of arc are related to the power frequency. The increment of gas pressure under 60Hz is faster than that under 50Hz at the cylinder, the temperature at the current zero under 60Hz is higher than that under 50Hz. The simulation results are the arc at 60Hz is harder to extinguish. More improvements should be carried out according to the 60Hz period for meeting the market demand.
Rotated face detection in color images using radial template (RT)

We propose a face detection algorithm to locate faces rotated in any orientation. Detecting rotated faces is important for a face detection system. First, we present a novel model named radial template (RT) to detect rotated faces. This template is designed to find stable features of center-rotated objects in edge maps. Based on skin detection and edge extraction, our method searches for face-like areas and gets their orientations by RT searching. Then the candidates are rotated upright and a frontal face detector is used to determine the existence of faces. A system integrating these techniques is presented. Experimental results show that our algorithm is effective for detecting human faces rotated at any angle with different sizes, lighting conditions and backgrounds.
Texture Feature Analysis on Erosion and Wear in Artillery Chamber

Interior ballistic performance, which is an important tactical characteristic of the gun, is affected directly by erosion and wear of the bore. With the more and more application of the gun in the modern war, the researches on erosion-wear and its influence on the interior ballistic performance have become important. In the past several years, photoelectric test technology has become the key technology in artillery bore peeping and measurement. With lots of image information, we could appropriately test the erosion and wear in artillery chamber. The image data shows that there would be a certain relationship between the texture features of the erosion and wear image and the total round number that the gun has shoot during its useful life. In this paper, the relationship was established along with the erosion and wear feature was extracted by an improved algorithm based on the Differential Box Count. It is showed by our elementary experiment that the relationship proposed has a better coefficient of correlativity than the existing one and easy to operate.
A faster checkpointing and recovery algorithm with a hierarchical storage approach

Fault tolerance is an inevitable part of cluster operating system. In Score cluster system, it provides coordinated checkpointing, rollback recovery mechanism and watch-dog timer detector for fault tolerance. In the checkpointing algorithm in Score, disk write is the bottleneck. To eliminate disk write overhead, this paper proposes a new diskless checkpointing and rollback recovery algorithm. Since the proposed algorithm does not need to calculate parity and write the checkpointing data into disk, it is analyzed to be a faster checkpointing algorithm than the original one. Based on comparison, the recovery time of the proposed algorithm is also less. However, the cluster can not tolerant multiple transient failure using this diskless checkpointing algorithm. To compensate this drawback, a hierarchical storage strategy is adopted. An experimental result shows that this diskless algorithm with a hierarchical storage approach is fast and effective
PV - wind - fuel cell - electrolyzer micro-grid modeling and control in Real Time Digital Simulator

Micro-grid consisting of Photovoltaic (PV) arrays, Wind Turbine Generator (WTG), Fuel Cell, Supercapacitor and Electrolyzer (EL) serving a village load is modeled and implemented in Real Time Digital Simulator (RTDS). Operating scenarios under fluctuating load conditions using an appropriate control strategy are simulated and analyzed. The advantages of using RTDS for micro-grid studies are presented.
Motion vector prediction in multiview video coding

In video coding, motion vectors always account for a large number of bits and affect coding efficiency largely. In this paper, we propose an efficient motion vector prediction algorithm for multiview video coding (MVC), which can predict motion vectors from adjacent views and achieve good prediction accuracy. We first investigate the correlations among different views and describe the disparity between adjacent views as global motion. The affine model is used to compute the global parameters between frames of adjacent views. At least one view is coded independently without interview prediction. After that, motion vectors of the frame to be coded can be derived from the motion vectors of the co-located coded frame in adjacent view using the global motion information. A rate-distortion optimization scheme is used to choose between the proposed method and traditional motion compensated prediction method. Experimental results show that, compared to simulcast coding, the proposed algorithm can achieve good performance and improve the coding efficiency up to 0.8 dB in PSNR.
Real-time scheduling on scalable media stream delivery

Scalable streams provide a layered representation for transmitting media contents over a channel with packet losses and variable delay. In general, real-time streaming scalable media to audience has timing constraints, and different layers in a frame have different importance to the playback quality reconstructed in client. In this paper, we proposes an efficient and simple real-time scheduling algorithm, Layer-Based Earliest Deadline First (LB-EDF) algorithm, which decides how to transmit/re-transmit video packets at any given time for delivery of scalable streaming media over a lossy channel. Besides real-time constraint, unequal priorities of scalable source bitstream in different layers are taken into account in the proposed algorithm. This guarantees the better usage of available bandwidth and the smoother playback. Simulated results show that, with the proposed approach, the playback quality has a greatly improvement.
A high efficient error concealment scheme based on auto-regressive model for video coding

In this paper, a high efficient temporal error concealment scheme based on auto-regressive (AR) model is proposed for video coding. The proposed AR based error concealment scheme includes a forward AR model for P slice, and a bi-direction AR model for B slice. First, we utilize the block matching algorithm (BMA) to select the best motions for lost blocks from the motions of available neighboring blocks. Then, the proposed AR model coefficients are computed according to the spatial neighboring pixels and their temporal-correlated pixels indicated by the selected best motions. Finally, applying the AR model, each pixel of the lost block is interpolated as a weighted summation of pixels in the reference frame along the selected best motions. Simulation results show that the performance of the proposed scheme is superior to conventional temporal error concealment methods.
Survey on coke oven gas-collector pressure control

This paper introduces the research status of the coke oven gas-collector pressure control and also analyzes the problems in control. Four parts are introduced in the research status: the research status of the coke oven gas-collector modeling; the traditional control methods in the coke oven gas-collector pressure control; the control methods based on fuzzy control method or some other intelligent control methods. Finally, according to the prospects of the coke oven gas-collector pressure control, this paper makes out a summarization and a prediction.
Multiscale load adaptive scheduling for energy efficient transmission over wireless networks

Some wireless communication systems, such as mobile ad hoc network, operate on a limited battery supply, and energy efficiency is therefore crucial to the network survival time. This paper proposes a multiscale load adaptive scheduling (MLAS) scheme to determine the transmission time of the packets. In MLAS, traffic is predicted over the scale of time window, and then a transmission time stretching algorithm is proposed to adjust the packet transmission time packet by packet. Compared with the fixed transmission time scheme, MLAS can reduce the energy consumption of data transmission by up to 90% corresponding to the load factor and the burst characteristic. MLAS also outperforms the look ahead based scheme in the performance of energy efficiency with the same average delay.
A comprehensive comparison of current operating reserve methodologies

Electric power systems are currently experiencing a paradigm shift from a traditionally static system to a system that is becoming increasingly more dynamic and variable. Emerging technologies are forcing power system operators to adapt to their performance characteristics. These technologies, such as distributed generation and energy storage systems, have changed the traditional idea of a distribution system with power flowing in one direction into a distribution system with bidirectional flows. Variable generation, in the form of wind and solar generation, also increases the variability and uncertainty in the system. As such, power system operators are revisiting the ways in which they treat this evolving power system, namely by modifying their operating reserve methodologies. This paper intends to show an in-depth analysis on different operating reserve methodologies and investigate their impacts on power system reliability and economic efficiency.