nils-herrmann/clean_scirepeval huggingface dataset:
LF-fusion: Dense and accurate 3D reconstruction from light field images

Light field (LF) cameras offer the capability of depth estimation in a single shot, which facilitates real-time 3D reconstruction of dynamic scenes. However, the accuracy of depth estimated from LF is still limited. Different from previous methods that generally focus on improving the fidelity of the central view depth, we argue that depth maps obtained at different views contain complementary information. Inspired by the principle of Kinect-fusion, we then propose a novel method for dense and accurate 3D reconstruction from LF images, namely, LF-fusion. Specifically, we use the iterative closest point (ICP) algorithm to register the point clouds generated from different views, and then employ a volumetric integration algorithm based on the truncated signed distance function (TSDF) to reconstruct the final 3D surface. Experiments demonstrate that the proposed method produces superior 3D reconstruction results on two representative LF datasets.
Progressive tone mapping of brain images at single-neuron resolution

This paper presents a novel tone mapping method for the display of high dynamic range (HDR) 3D brain images at single-neuron resolution, where the fluorescent labeled neurons exhibit extremely high local contrast. Existing tone mapping methods fit for natural images cannot well preserve the details of neurons in the 3D brain image, and require huge memory when the image resolution is ultra high. Therefore, we propose a block-wise, progressive tone mapping strategy for efficient and high quality display of such image, which further offers two different modes for optimum global or local visual experience. Experimental results demonstrate that the proposed approach significantly improves the visualization quality of high contrast neurons in HDR brain images compared with existing methods.
An efficient 2D to 3D video conversion method based on skeleton line tracking

3DTV is becoming more and more popular but the 3D sequences are still very few. In this paper, we proposed an efficient 2D to 3D video conversion method based on skeleton line tracking. In our method, for a key frame, the foreground object and the corresponding depth image can be obtained by interactive method. For a non-key frame, we first generate the skeleton lines of the object in the previous frame and predict them in the current frame, then recover the object by the Lazy Snapping method. A robust and fast optical flow method is introduced to make the prediction better. At last, the depth image is generated to composite the stereo image. Because only the skeleton lines of the object rather than the whole object are tracked, the computational complexity is much lower than other tracking methods. The experimental results show that our method is feasible.
TDHA-A One-Way Hash Algorithm Based on Extended Integer Tent Maps with Dynamic Properties

This paper proposes a one-way hashing algorithm called TDHA. TDHA compresses a message of arbitrary length into a fingerprint of 160 bits. The compression function in-use was constructed based on the analysis of uniform distribution property of Extended Integer Tent Maps. This algorithm takes the Extended Integer Tent Maps as major nonlinear component of compression function, propagates strong dynamic differential diffusion, turns the constant words used in the traditional Hash function into dynamic parameter words. Parallel iteration structure is adopted in the compression functions. In addition, the MD structure is improved so that the capacity of collision resistance of the middle iteration process of the Hash function is enhanced without extending intermediate states. Preliminary security testing indicates that, this Hash function has a high degree of security, and it can be realized easily with great rapidity. Therefore, it is an ideal substitution for conventional Hash function.
The effect of drilling parameters on the wicking in high density PCB processing

Wicking is one of the important factors that cause the internal short of Printed Circuit Board (PCB), and directly restrict the pitch of holes. In this paper, orthogonal experimental design method is used to study the effect of five drilling parameters on the wicking. The five factors are rotation speed, feeding speed, retracting speed, drill life and stack number. The result shows that the order of the influencing factors is as follows: stack number, drill life rotation speed, retracting speed, feeding speed. It is found that the optimum parameters combination is rotation speed of 150 kr/min, feeding speed of 38 mm/sec, retracting speed of 280 mm/sec, drill life of 1600 hits and stack number of 1 PNL/stack.
Spectram-sculpting-aided interference avoidance for OFDM-based cognitive networks

This paper studies how to efficiently reduce the mutual interference between primary and secondary networks. Different to conventional cognitive system, in which primary and secondary networks have no information exchange, the media access control mechanism we propose allow an operating PU to share the length of its remaining occupation time to SUs. With the help of such information exchange, the primary network can be better protected and the secondary network has the potential to reduce the energy consumed by spectrum sensing. To realize such a dynamic information sharing, we propose a novel spectrum-sculpting-aided scheme in this paper. Specifically, the PU deliberately inserts one zero-subcarrier into its data carriers, and uses the zero-subcarrier's position to claim its status. Through two-step sensing, each SU can attain the PU's remaining operation time, and then adjust its sensing strategy to avoid interference to the PU. Analysis of interference probability, together with simulation results, clearly exhibit the advantages of the proposed scheme in terms of the mutual interference and the amount of SU's sensing times.
A high efficiency linear power amplifier with Switch-Linear Hybrid Scheme

This paper presents a Switch-Linear Hybrid (SLH) power amplifier whose idea is originated from conventional class B linear power amplifier instead of the most commonly used switching power amplifier. The linear power unit of the SLH power amplifier is fed by dynamic tracking power supplies to boost the efficiency of the linear power unit without scarifying any virtues of linear power amplifier. Therefore, by combining the linear power amplifier with the switching power amplifier, the SLH power amplifier has synthetic performance of high fidelity, high efficiency and excellent dynamic characteristics. Analysis and experimental results verify the validity of the SLH power amplifier.
Inter-Operation of Distributed Workflow Engine on Asynchronous Web Services

To solve workflow engines inter-operation each other, and achieve information interaction among distributed engines, this paper presents an inter-operation model among distributed workflow engines based on Shark and Asynchronous Web Services. Inter-operation model interface among workflow engines regards as service resources provided by Web Services, and uses observer design pattern and extensible markup language SOAP protocol as inter-operation communication mechanism, and regards inter-operation service provided by Web Services as external applications, to implement inter-operation among distributed workflow engines. The model used to achieve the J2EE platform distributed workflow engine dynamic interoperation and achieve a goal of Enterprise Application Integration.
Research and simulation of parallel current-mode controlled buck converter

This paper introduces parallel current-mode control algorithm for DC-DC converters. The remarkable advantage of this new control is that it is derived directly in a discrete form and optimized for digital implementation. The duty cycle consists of two terms: voltage term and current term. They are calculated directly by the reference current, sensed inductor current, input voltage and output voltage, and only need three additions and two multiplications. Due to this, the algorithm is simple for digital implementation. At the same time, the proposed control method can also obtain good dynamic performance under load and input voltage variations. The assumptions are verified by simulations on synchronous buck converter for this new strategy using PSIM. Meanwhile, conventional peak current-mode control is presented and simulated as comparison. The proposed method can be applied to other topology such as boost, Buck-Boost, etc.
Moving Horizon Estimation for Networked Systems With Quantized Measurements and Packet Dropouts

This paper is concerned with the moving horizon estimation (MHE) problem for linear discrete-time systems with limited communication, including quantized measurements and packet dropouts. The measured output is quantized by a logarithmic quantizer and the packet dropout phenomena is modeled by a binary switching random sequence. The main purpose of this paper is to design an estimator such that, for all possible quantized errors and packet dropouts, the state estimation error sequence is convergent. By choosing a stochastic cost function, the optimal estimator is obtained by solving a regularized least-squares problem with uncertain parameters. The proposed method can be used to deal with the estimation and prediction problems for systems with quantized errors and packet dropouts in a unified framework. The stability properties of the optimal estimator are also studied. The obtained stability condition implicitly establishes a relation between the upper bound of the estimation error and two parameters, namely, the quantization density and the packet dropout probability. Moreover, the maximum quantization density and the maximum packet dropout probability are given to ensure the convergence of the upper bound of the estimation error sequence. Finally, an illustrative example is given to demonstrate the effectiveness of the proposed method.
A novel design of voltage controlled temperature compensated crystal oscillator

A novel design of voltage controlled temperature compensated crystal oscillator (VCTCXO) is presented. This design will consider the current temperature compensation and the voltage-controlled voltage of regulation of the central frequency as a whole. A variable capacitance diode is adopted to fit the function of two variables, which avoids the problem that the temperature of the crystal oscillator is decreased after the mutual interference between the load capacitance of the two varactor diodes and the change of the central frequency. On this basis, by the debug and work switch on the user control voltage of the output frequency control and microcontroller output voltage-controlled voltage switch, the voltage-controlled temperature compensation crystal oscillator can adapt to the user's output frequency control in the control voltage situation. This new approach provides a novel design of VCTCXO. The results show that this design achieve desired frequency temperature compensation effect.
SIFT-preserving compression of mobile-captured license plate images for recognition

Image compression had been extensively studied for reducing coding rate yet producing acceptable visual quality. However, there are many application scenarios where the compressed images are used for automatic recognition rather than human viewing, thus the visual quality is no longer critical for compression. SIFT features have demonstrated their utility in many recognition scenarios and SIFT-preserving compression is developed recently. In this paper, we firstly study the SIFT-preserving compression of license plate images for recognition accuracy rather than visual quality. According to extracted SIFT features, each image is divided into SIFT coding-units and non-SIFT coding-units. Each coding-unit is assigned with a different quality parameter when using JPEG for compression. We compare our proposed scheme with the standard JPEG that uses a unified quality parameter. Experimental results with manually tuned parameters show that on average 14% bit-rate can be saved by our scheme, without any loss of recognition accuracy.
A fast two-way IP lookup algorithm based multibit-trie

Due to the rapid growth of traffic in the Internet, backbone links of several gigabits per second are commonly deployed, which means backbone routers must be able to forward millions of packets per second. One of the most important steps of routing is lookup in the routing table, which is also the bottleneck in high-speed routing process. Some traditional IP lookup algorithms are focused at memory consumption, searching speed or update complexity respectively, with which we design an evaluation function to make this tradeoff. This evaluation function provides a new method to measure the integrated performance of routing lookup algorithm. Finally we provide a fast two-way IP lookup algorithm based multibit-trie, which makes one single lookup to the IP address to be processed in parallelism. In this article, we have analyzed the algorithm complexity in two aspects: memory using and lookup speed. Furthermore, we compare the performance of our two-way IP lookup algorithm with some former classic algorithms. The analytical result indicates the two-way algorithm has more superiority than other software lookup algorithms in integrated performance.
An Automatic Detection of the ROI Using Otsu Thresholding in Nonlinear Difference EIT Imaging

Inverse problem of electrical impedance tomography is highly ill-posed therefore often prior information is used to have a satisfactory and stable solution. Recently, introduced non-linear differential imaging method estimates the initial and difference in conductivities simultaneously and is efficient in handling modeling errors. The non-linear parameterization of conductivity enables to use different regularization schemes for background and region of interest (ROI). Identifying the ROI without any prior information can be beneficial in improving the reconstruction performance. Therefore, in this paper, automatic detection of ROI is introduced using Otsu thresholding method and is then used with non-linear differential imaging. The proposed non-linear differential imaging with Otsu method (NDIWO) considers different regularization methods, i.e., total variational approach with ROI and smoothness prior with background regions during reconstruction. Numerical and experimental studies are performed to test NDIWO method for two-phase flow and thorax imaging and the performance is compared with absolute and linear difference imaging. The results indicate that the proposed NDIWO method has improved reconstruction performance compared with conventional absolute and linear difference imaging.
An Overlapping Architecture for ROIA in Cloud

Real-time online interactive application (ROIA) is an emerging large scale distributed application in recent years. To satisfy the high demands on performance, ROIA needs a highly robust and efficient architecture to cope with the huge concurrent users. Previous works are almost based on the C/S and P2P mode, and these architectures cannot be simply copied to cloud computing environment. In this paper, we propose an overlapping architecture for ROIA in cloud, which based on zoning technique. This new architecture provides redundancy to ensure the robust and enhance the scalability of ROIA. We focus on analyze the two merits of new architecture: seamless migration across zones and protecting against server crash. This paper sheds a little light to the related further research on ROIA.
Research on the Core of Industrial Engineering

It is the core of Eliminating Ineffective Work (EIW) of Industrial Engineering (IE), which stores in IE itself, that has been generalized in this paper, having been dated back to the theory upon “ husbanding labor & simplifying labor” established by Adam Smith as a classical economist, to the management idea upon “ eliminating dawdling work” & “ eliminating ineffective motion” expounded by F.W.Taylor as a pioneer of IE, to the management thinking upon “ eliminating waste(Muda)” extracted by TOYOTA Production and Lean Production, to the “ methods and applications of Life Cycle Cost” discovered by Mrs. Mary Earles as a logistic expert, and so on; And it is pointed out that the nature of IE core of EIW is to liberate the productive forces; And the task in the primary stage of IE is to liberate physical labor with classical IE methods and the objective during the higher stage of IE is to liberate mental labor.
Dual-frequency planar inverted-F antenna

Cellular telephone handsets are now being designed to have dual-mode capabilities. In particular, there is a requirement for internal antennas for GSM and DCS1800 systems. This paper describes a novel planar dual-band inverted-F antenna for cellular handsets, which operates at the 0.9-GHz and 1.8-GHz bands. The dual-band antenna has almost the same size as a conventional inverted-F antenna operating at 0.9 GHz and has an isolation between bands of better than 17 dB. The bandwidths of the antenna are close to those required for the above systems. Good dual-band action is also obtained for other frequency ratios in the range of 1.3-2.4. Studies also show that the dual-band antenna can operate with one or two feeds. A finite-difference time-domain analysis has been shown to give calculated results close to those measured.
Regime recognition of two-phase pipe flow based on D-S evidence theory

Flow regime recognition plays a fundamental role in two-phase flow measurement. Based on the characters information provided by dual-plane electrical resistance tomography (ERT) system, a method of flow regime recognition in horizontal pipe based on D-S evidence theory is brought forward. A particular way to acquire the basic probability assignment function in D-S evidence theory is introduced. Every single plane of the dual-plane ERT system has been regarded as an independent information resource. Through the fusion of features from both of the planes, less features are needed to be extracted, and better flow regime identifying result is achieved.
A New 256-Bit Hash Function THA-256

THA(Tent map-based Hash Algorithm)-256 is a dedicated hash function with output length of 256 bits. “Tent map-based” means that message expansion of the algorithm is realized through the rolled-out and folded-over of the integer tent maps and the algorithm combines integer tent maps with traditional logic functions as major nonlinear component of compression function. Compared with SHA-256, THA-256 has ideal properties of diffusion and confusion, and improves the computation efficiency. In addition, the parallel iteration structure is adopted in the compression functions of THA-256¿which is advantag-eous to high speed parallel operation of software and hardware. Preliminary security testing indicates that, THA-256 has a high degree of security, and it can be realized easily with great rapidity. Therefore, it is an ideal substitution for conventional Hash function.
IATC Improved Adaptive Transmission Control Mechanism for Underwater Acoustic Sensor Network

An improved adaptive transmission control mechanism (IATC) for underwater acoustic sensor networks is proposed in this paper. This mechanism controls transmission delay and releases collisions adaptively according to different conditions of the wireless links periodically feed back by the receiver. Our work is succeeding in releasing collisions and reducing propagation delay. Further more, the energy is reserved by reducing repeated transmission. Simulations show IATC can amend the transmission time adaptively depending on users and can save about 50% energy when bit error rate is high.
Stream Algorithm for 4*4 Integer Transform in H.264

The 4*4 integer transform, as one of the key techniques in H.264 video compression standard, is very important for the whole performance of H.264 codec. Based on stream processing model, this paper presents an interleaved streaming transform (IST) algorithm for 4*4 integer transform in H.264, and maps it onto Imagine stream processor. Experimental results show that the streaming implementation of IST processes a 4*4 integer transform only in 4.5ns for CIF image format, far beyond the real-time requirement of current video applications. In addition, stream processors can take advantage of their flexibility to use IST widely in the future.
A Distributed Charging Coordination for Large-Scale Plug-In Electric Vehicles Considering Battery Degradation Cost

Much research has focused on the issue of how to effectively coordinate the charging behaviors of large-scale plug-in electric vehicles (PEVs), like the valley-fill strategy, to minimize their impacts on the power grid. However, high charging rates under the valley-fill strategy may result in a higher battery degradation cost. Consequently, in this brief, we formulate a class of PEV charging coordination problems that deal with the tradeoff between the total generation cost and the accumulated battery degradation cost of PEV populations. Due to the autonomy of individual PEVs and the computational complexity of the system with large-scale PEVs, it is impractical to implement the solution in a centralized way. Alternatively, in this brief, we propose a distributed method such that all of the individual PEVs simultaneously update their own best charging behaviors with respect to a common electricity price curve, which is updated as the generation marginal cost with respect to the aggregated charging behaviors of the PEV populations implemented at the last step. The iteration procedure terminates in case the price curve does not update any longer. We show that by applying the proposed distributed method and under certain mild conditions, the system can converge to a unique charging strategy, which is nearly socially optimal. Simulation examples are studied to illustrate the results developed in this brief.
Partial discharge location by cross-talk phenomena between three phase stator coils of generators

Online detecting PD of the stator insulation of generators is a good way to find some primary defects. But there are many kinds of pulse noises must be eliminated. In this paper, cross-talk phenomenon among the three phases of stator coils is described. A digital oscilloscope measured the signals coming from three high voltage buses of a real 50 MW generator. The coupling rule of PD pulse from one stator bar to another bar is analyzed. It is found that PD pulses can travel through the terminal part of stator coils by diffused capacitor between bar to bar. More closely the PD source is to the terminal bar where sensor is put on, more bigly the signal of this sensor is. From the amplitude of the output of the three sensors, the phase that the PD source belong to can be decided easily. Further more, the bar of PD source can be estimated by the decrease rule of PD pulse when it travels through the circle of the terminal part of stator coils.
Signal processing on heart rate signals using the wavelet-based contourlet transform and multifractal

This paper presents a Signal Processing method on Heart Rate Signals Using The Wavelet-based Contourlet Transform and multifractal. The method is based on the Wavelet-based Contourlet transform and filter banks. The algorithm implementation process is as follows. Firstly the Wavelet-based contourlet transform orthogonal decomposes heart rate variability signal fractal component. Power spectrum of heart rate variability signal fractal component is estimated by the self regression model. The Walker equation Yule is used to fit the fractal components of the double logarithm coordinate power spectrum, and the slope is estimated. Finally, the fractal dimension of the heart rate variability signal is estimated by formula D=2-(γ-1)/2. In order to validate the feasibility of the proposed algorithm of stability and reliability, the MIT-BIH ECG database fractal signal is verified. The results show that the algorithm is applied to calculate the heart rate variability signal fractal dimension is feasible.