nils-herrmann/clean_scirepeval huggingface dataset:
Noisy Depth Maps Fusion for Multiview Stereo Via Matrix Completion

This paper introduces a general framework to fuse noisy point clouds from multiview images of the same object. We solve this classical vision problem using a newly emerging signal processing technique known as matrix completion. With this framework, we construct the initial incomplete matrix from the observed point clouds by all the cameras, with the invisible points by any camera denoted as unknown entries. The observed points corresponding to the same object point are put into the same row. When properly completed, the recovered matrix should have rank one, since all the columns describe the same object. Therefore, an intuitive approach to complete the matrix is by minimizing its rank subject to consistency with observed entries. In order to improve the fusion accuracy, we propose a general noisy matrix completion method called log-sum penalty completion (LPC), which is particularly effective in removing outliers. Based on the majorization–minimization algorithm (MM), the non-convex LPC problem is effectively solved by a sequence of convex optimizations. Experimental results on both point cloud fusion and MVS reconstructions verify the effectiveness of the proposed framework and the LPC algorithm.
A defect-aware approach for mapping reconfigurable Single-Electron Transistor arrays

Single-Electron Transistor (SET) at room temperature has been demonstrated as a promising device for extending Moore's law due to its ultra low power consumption. However, early realizations of SET array lacked variability and reliability due to their fixed architectures and high defect rates of nanowire segments. Therefore, a reconfigurable version of SET was proposed to deal with these issues. Recently, several automated mapping approaches were proposed for area minimization of reconfigurable SET arrays. However, to the best of our knowledge, no mapping approaches that consider the existence of defective nanowire segments were proposed. Thus, this paper presents the first defect-aware approach for mapping reconfigurable SET arrays. The experimental results show that our approach can successfully map the SET arrays with 20% width overhead on average in the presence of 5000 ppm defects.
Review on MAC Protocols in Energy-Harvesting Wireless Body Area Networks

Wireless Body Area Networks (WBANs) have become a leading solution in Mobile Health (mHealth). Typically, a WBAN consists of in-body or around-body sensor nodes for collecting data of physiological feature. For a WBAN to provide high throughput and low delay in an energy-efficient way, designing an efficient Medium Access Control (MAC) protocol is of paramount importance because the MAC layer coordinates nodes' access to the shared wireless medium. To show the difference of MAC protocols between Energy-Harvesting wireless body area networks (EH-WBANs) and battery powered WBANs (BT-WBANs), this article surveys the latest progresses in energy harvesting techniques and WBAN MAC protocol designs.
Robust adaptive control of Cohen-Grossberg neural networks with discontinuous activation functions

In this paper, robust adaptive control of Cohen-Grossberg neural networks with discontinuous activation functions is considered. Based on differential inclusion theory and matrix inequality technique, we originally propose the adaptive controller for neural networks with discontinuous activation functions. Our objective is to design the controller to ensure neural networks be globally asymptotically stable at its equilibrium point. The designed controller is accessible. Finally, a numerical example is given to verify the effectiveness and robustness of the proposed result.
Combining wavelet and ridgelet transforms for texture classifications using support vector machines

In this paper, we propose a method using combining features from discrete wavelet transforms and ridgelet transforms for texture classification. Typically, the 2D wavelet transform is good at capturing point singularities, while the ridgelet transform is good at capturing line singularities. Support vector machines (SVMs), which have demonstrated excellent performance in a variety of pattern recognition problems, were used as classifiers. The algorithm is tested on three different datasets, selected from Brodatz and VisTex databases. Experimental results demonstrated the combination of the two feature sets always outperformed each method individually. Compared to other methods, the proposed method produces more accurate classification results.
A Success Story in Inter-Disciplinary, Inter-Continental Engineering Education

In this paper we consider the success of blending the Chinese and UK educational systems in the joint degree programmes between Queen Mary, University of London and Beijing University of Posts and Telecommunications. The paper explore how these programmes have been structured, how we have combined the strengths of both traditions, how the engineering, management and Law disciplines have been blended together and how we have introduced the personal development aspects into this very popular programme that recruits 500 students a year, all scoring higher than the top national line in the national university entrance examinations.
A novel positioning method for WLAN based on propagation modeling

In recent years, many researchers have paid attention to using the existing wireless local area network infrastructure to estimate position. There are two kinds of signal-strength-based modeling for WLAN positioning system: propagation modeling and fingerprinting modeling. The propagation modeling can not have high positioning accuracy; and the fingerprinting modeling will take great effort and time. In this paper, a novel method is proposed to determine the position of user according to the ratio of distances from the difference of RSSI, which improves the more accuracy than traditional propagation modeling and saves the more cost than fingerprinting modeling. Also, one filtering measure is presented to discard incorrect information. It makes the positioning system work efficiently.
Design for Power Distribution & Control System of OMAS

One Man Atmospheric System (OMAS), is an articulated anthropomorphic single person submersible which consists of the Suit, Tether Management Systems (TMS), Launch and Recovery Systems (LARS) and Surface Control Systems (SCS). The submersible is presently capable of allowing a pilot to operate at the worksite. OMAS maintains the internal pressure at one atmosphere. There is no need for decompression schedules and it increases the bottom times. Meanwhile, the pilot is put directly at the worksite where they can observe dexterously and control tools directly. So OMAS are most effective. The images in operation which are transferred synchronously to the surface can be used to monitor and guide the operation. Power Distribution & Control System is the most important system for OMAS. It is charged with power distribution of Suit, TMS and SCS, controlling navigating and working for OMAS. It also provide the channel for exchanging of information, the display and alaming for OMAS. According to physical location, control system is divided into three parts: surface control, TMS control and suit control. And these three parts functionally response their own control requirements. Firstly, this paper introduce the general situation of OMAS. Secondly, the design for power distribution & control system of OMAS is provided. Then, debugging for the system, situation of pool trial and sea trial are given, controlling system is improved through pool trial and sea trial. At last, summarize the design for power distribution & control system. Finally, at the end of the paper, and with the benefit of many years experience of underwater technology, some advice is presented.
Quadrisection-based task mapping on many-core processors for energy-efficient on-chip communication

Network-on-chip (NoC) promises better scalability and power efficiency compared to traditional on-chip interconnects. But in order to fully exploit the benefits offered by the new paradigm, especially as the number of cores in the network increases, challenging resource management questions need to be addressed. Of particular interest and the subject of our study is the question of how to map applications to processors (network nodes) in a NoC so as to minimize the dynamic power consumption of the NoC.
Study on Optimal Culture Conditions of Bioflocculant Produced by Brewery Wastewater and Its Application to Middle Phase Wastewater in Paper Making Process

In order to increase the output of bioflocculant, improve efficiency and stability of flocculation and reduce the cultivating cost, Pseudomonas fluorescensC-2 strain was cultured in brewery wastewater culture medium where brewery wastewater replaced glucose as carbon source and energy source to produce bioflocculant, then the bioflocculant obtained was applied to treat middle phase wastewater in paper making process, and the culture conditions were optimized by orthogonal test. The optimum culture conditions of strain C-2 were as follows: the COD Cr in the brewery wastewater was 8000 mg-L -1 , the initial pH of brewery culture medium was 7.5, the inoculum size was 2.5 mL/(mL-50 mL -1 ), the cultivating temperature was 30degC, the shaking speed was 160 r-min -1 . Under the optimum culture conditions, the maximal COD Cr and turbidity removal efficiency were 88.26% and 95.92%, respectively. In a word, the method was feasible, it achieved resources utilization of wastes. Brewery wastewater has opened up a new way for carbon source and energy source supply.
Palmprint recognition using deep scattering network

Palmprint recognition has drawn a lot of attentions during recent years. Different features and algorithms have been proposed for palmprint recognition in the past such as Gabor-based features, wavelet features, and histogram of oriented lines. In this paper, a powerful image representation, so called deep scattering network, is used for recognition. Scattering network is a convolutional network where its architecture and filters are predefined wavelet transforms. Scattering transform is designed such that the features in its first layer are similar to SIFT descriptors and the higher layers' features capture higher frequency content of the signal which are lost in SIFT. After extraction of scattering features, their dimensionality is reduced by applying principal component analysis (PCA). By doing so, a great amount of computation complexity can be reduced. At the end, the recognition is performed using two different classifiers, multi-class SVM and minimum-distance classifier. The proposed scheme has been tested on a well-known palmprint database and achieved accuracy rates of 99.4% and 99.9% using minimum distance classifier and SVM respectively, outperforming previous algorithms on this dataset.
Multiple description image coding based on lapped orthogonal transforms

This paper considers the use of multiple description coding (MDC) for image transmission in communication systems where long burst errors and sometimes complete channel failures are inevitable. A general framework for MDC is proposed, which uses non-hierarchical signal decomposition at the encoder and image reconstruction at the decoder. A relaxation of this framework using lapped orthogonal transforms (LOTs) is developed. A novel image reconstruction technique is employed, which makes use of the constraints between adjacent LOT coefficient blocks and the smoothness property of common image signals. The tradeoff between coding efficiency and reconstruction quality obtainable by using different LOT bases is investigated.
An extended SDN architecture for network function virtualization with a case study on intrusion prevention

In conventional software-defined networking (SDN), a controller classifies the traffic redirected from a switch to determine the path to network function virtualization (NFV) modules. The redirection generates a large volume of control-plane traffic. We propose an extended SDN architecture to reduce the traffic overhead to the controller for providing NFV. The extension includes two-layer traffic classification in the data plane, extended OpenFlow protocol messages and service chaining mechanisms. Network events are analyzed in the data plane instead of the control plane. The efficiency is evaluated with a case study of intrusion prevention. The evaluation shows that only 0.12 percent of the input traffic is handled by the controller, while 77.23 percent is handled on the controller in conventional SDN.
Digital Terrestrial Television Broadcasting in China

This paper presents a recently developed fourth standard that meets the China's unique needs. In China, the proportion of television viewers using terrestrial reception is pretty high. Other characteristics of China's TV audience made it necessary to develop a new digital terrestrial television broadcasting standard that provides high-quality multimedia service as well. Field trials to date have demonstrated DTTB's good performance, providing a solid foundation for building on these applications. We're very willing to collaborate with people from academic, engineering, and industrial groups to improve the DTTB standard in the future.
Development of glass bottle inspector based on machine vision

This text studies glass bottle intelligent inspector based machine vision instead of manual inspection. The system structure is illustrated in detail in this paper. The text presents the method based on watershed transform methods to segment the possible defective regions and extract features of bottle wall by rules. Then wavelet transform are used to exact features of bottle finish from images. After extracting features, the fuzzy support vector machine ensemble is putted forward as classifier. For ensuring that the fuzzy support vector machines have good classification ability, the GA based ensemble method is used to combining the several fuzzy support vector machines. The experiments demonstrate that using this inspector to inspect glass bottles, the accuracy rate may reach above 97.5%.
Radiation of Arc and Its Application in GTA Welding Measurement and Testing

The arc plasma radiation of gas tungsten arc welding (GTAW) is studied in this paper with the application of Avaspec-2048FT optical fiber digital spectrometer. The spectrum distribution from 200 nm to 1000 nm is analyzed. The result showed that different condition of the welding can provide spectrum with different radiation. The radiation in different frequency is dominant by spectral line of different element. The radiation intensity in the chosen frequency band is closely related to the stability of the arc. Furthermore, in order to detect the defect and disturbance of the process of welding, an in-situ sensing system with dual channel is developed with narrow-band filters. The radiation in visible and infra is collected with the sensor. The system can provide characteristic signal of welding trails with different disturbance factors.
MPEG-4 video object-based rate allocation with variable temporal rates

This paper describes a bit allocation algorithm to achieve a constant bit rate when coding multiple video objects (MVOs), while improving the rate-distortion (R-D) performance over the reference method for MPEG-4 object-based rate control. In object-based coding, bit allocation is performed at the object level and temporal rates of different objects may vary. In this paper, we deal with these two issues. We pay particular attention to maintenance of buffer occupancy levels and propose a new method for spatiotemporal trade-offs for object-based coding. The proposed algorithm is able to successfully achieve the target bit rate, effectively code arbitrarily-shaped MVOs with different temporal rates, and maintain a stable buffer level.
Q-STAR: A Perceptual Video Quality Model Considering Impact of Spatial, Temporal, and Amplitude Resolutions

In this paper, we investigate the impact of spatial, temporal, and amplitude resolution on the perceptual quality of a compressed video. Subjective quality tests were carried out on a mobile device and a total of 189 processed video sequences with 10 source sequences included in the test. Subjective data reveal that the impact of spatial resolution (SR), temporal resolution (TR), and quantization stepsize (QS) can each be captured by a function with a single content-dependent parameter, which indicates the decay rate of the quality with each resolution factor. The joint impact of SR, TR, and QS can be accurately modeled by the product of these three functions with only three parameters. The impact of SR and QS on the quality are independent of that of TR, but there are significant interactions between SR and QS. Furthermore, the model parameters can be predicted accurately from a few content features derived from the original video. The proposed model correlates well with the subjective ratings with a Pearson correlation coefficient of 0.985 when the model parameters are predicted from content features. The quality model is further validated on six other subjective rating data sets with very high accuracy and outperforms several well-known quality models.
Noise and error pattern in shingled magnetic recording

Shingled magnetic recording (SMR) is a promising approach for achieving storage density beyond 1 Tbit/in2. The areal density increase is achieved by overlapping the tracks during writing, which results in increased impairments such as magnetic transition jitter, inter-track interference (ITI), residual and overwriting noise. Such media noises and interference becomes two-dimensional (jitter along the down track direction; ITI, overwriting and residual noise along the cross track direction) due to decreased track pitch in the SMR system, which is more challenging than the one-dimensional impairments seen in conventional magnetic recording. The goal of this effort is to better understand the effects of these 2D impairments in SMR at different channel densities by using the accurate micromagnetic writing model combined with the read channel. Recently, the rotated single head (RSH) has been investigated for its tolerance to ITI. To investigate the extant and effect of these impairments, this research has employed an optimized micromagnetic writer to shingle-write an exchange coupled composite media (Voronoi grains of size 8nm) and readback with both a normally oriented single head (NSH) and rotated single head (RSH) based on the physically accurate reciprocity principle. In this study, the magnetic fly height is 3nm, and the reader has 4nm×18nm×18nm free layer and 11nm shield-shield spacing. The signals are over-sampled at 2nm intervals and processed with a low-pass filter, 2D minimum mean squared error (MMSE) equalizer and detected with a Viterbi detector. In the simulation, the bit width is kept constant at 10nm, while the track width is varied from 20nm, 15nm to 10nm (corresponding to channel densities of 3.22 Tb/in2, 4.30 Tb/in2 and 6.45 Tb/in2, respectively) to mimic the increasing track density.
Simulation of LWD tool response using the dual-primal finite element tearing and interconnecting method incorporated with tree-co-tree splitting

The dual-primal finite element tearing and interconnecting (FETI-DP) method is combined with the tree-co-tree splitting (TCS) method to analyze an electrical logging-while-drilling (LWD) tool. The FETI-DP method decomposes the original complex problem into subdomain problems and deals with them simultaneously using multiple processors. The TCS method is adopted to deal with the low-frequency breakdown problem. Numerical results show that the proposed method can achieve an excellent accuracy and a good convergence rate from several MHz to nearly DC.
Joint shape and texture rate control for MPEG-4 encoders

This paper describes an algorithm which can achieve a constant bit rate when coding multiple video objects. First, an initial target estimate is made for each object. Based on the buffer fullness, the total target is adjusted and then distributed proportional to the relative size, motion, and variance of each object. Based on the new individual target rates and rate distortion model for coding the texture of each object, appropriate quantization parameters are calculated. After each object is encoded, the texture model parameters for each object are updated, and if necessary, frames are skipped to ensure that the buffer does not overflow. To provide a proper trade-off between spatial and temporal coding, the proposed rate control algorithm switches between a high rate coding mode and a low rate one. In the low rate mode, a mechanism to control the parameters for shape coding is included. Overall, the algorithm is able to successfully achieve the target bit rate, effectively code arbitrarily shaped objects, and maintain a stable buffer level.
A Process for Inline Minority Carrier Lifetime Monitoring for the Furnace Performing Denuded Zone Formation

The fluctuation in the minority carrier lifetime (MCLT) measurement is observed when monitoring the metal contamination for the furnace performing denuded zone formation, and the mechanism responsible for this phenomenon is examined in this paper. Among various possible causes, the oxygen precipitates are found to be the main contributor for this MCLT fluctuation because the amount of oxygen precipitates after denuded zone formation is strongly related to the initial oxygen concentration in the wafer and this makes the MCLT value liable to be affected even for tiny initial oxygen difference. A gate oxide recipe is suggested to be adopted for MCLT monitoring in furnace performing denuded zone formation to circumvent the problem. For the gate oxide recipe, not only is the monitoring result stable but it is feasible to produce MCLT test wafers with real products without sacrificing tool productivity.
Design of remote medical monitoring system based on android mobile platform and bluetooth HDP technology

Due to the actual demand of remote medical monitoring system, the overall framework of remote medical monitoring system which based on the Internet of things technology and cloud computing technology is designed. Put forward the application solutions of Android mobile terminal equipment in this system, and discusses the development methods of different types of the Android mobile terminal. First, the overall framework of remote medical monitoring system is introduced. Second, the development of data communication method of Android Bluetooth HDP and HTTP is discussed in detail, which is base on the Android framework. The Internet of Things and cloud computing technologies together to build a remote medical monitoring system. Android mobile terminal development on the medical applications of data processing centres and medical data display applications. Finally, the experimental results show that the system not only runs and transfers data stabilize, but also strong real-time, effective and feasible.
An enhanced verifier-free password authentication scheme for resource-limited environments

To realize secure access to multimedia anywhere, anytime, and with any devices, we need efficient authentication mechanisms suitable for resource-limited environments. Password authentication is regarded as one of the most widely used authentication mechanisms for its convenience, easy implementation, and user-friendliness. Up to now, many verifier-free password authentication schemes that can resist stolen-verifier attacks have been proposed, and each has its pros and cons. Recently, Wang et al. showed that two new verifier-free password authentication schemes are vulnerable to an off-line password guessing attack, a forgery attack, and a denial-of-service attack, and then proposed an improved scheme for the real application in resource-limited environments. Unfortunately, we find that Wang et al.'s scheme is still vulnerable to several attacks. Herein, we propose an enhanced verifier-free password authentication scheme for resource-limited environments with better security strength.