nils-herrmann/clean_scirepeval huggingface dataset:
MINMAX optimal video summarization

The need for video summarization originates primarily from a viewing time constraint. A shorter version of the original video sequence is desirable in a number of applications. Clearly, a shorter version is also necessary in applications where storage, communication bandwidth and/or power are limited. In this paper, our work is based on a MINMAX optimization formulation with viewing time, frame skip and bit rate constraints. New metrics for missing frame and video summary distortions are introduced. Optimal algorithm based on dynamic programming is presented along with experimental results.
Optimal video summarization with a bit budget constraint

The need for video summarization originates primarily from a viewing time or a bit budget constraint. A shorter version of the original video sequence is desirable in a number of applications. Clearly, a shorter version is also necessary in applications where storage, communication bandwidth and/or power are limited, which translates into a bit budget constraint. Our work is based on a bit rate-summary distortion optimization formulation. New metrics for video summary distortion are introduced. An optimal algorithm based on Lagrangian relaxation and dynamic programming is presented.
Deployment strategies of wireless sensor network mobile nodes based on graph theory

Aiming at the problem of decline in monitoring performance, caused by failure nodes, of wireless sensor network. We propose an effective wireless sensor network deployment program based on the foundation of completing setting the fixed nodes, focusing on considering the case on condition that the fixed node uneven distribution and discuss the significance of nodes in cut vertex of wireless sensor network topology. By employing the k-means clustering algorithm, the initial number and location of the mobile nodes in this configuration program can be determined and selected effectively. Furthermore, we analyze the stability and lifetime of the network topology. Experimental results show that the proposed program can improve the stability of sensor network by introducing the least number of mobile nodes.
Can we identify smartphone app by power trace? [Extended abstract for special session]

Power trace of a smartphone, as time series data, carries important information of the system behavior and is useful for many applications, such as energy management [1-3], software optimization [4-6] and anomaly detection [7, 8]. However, the power trace measured from the battery terminals include the power consumption by all the hardware components and thus describes the activity of the whole system. Yet modern smartphones are multiprocessing, i.e., multiple applications can be running simultaneously in the same system. Our goal is to answer the following question: “Can we identify smartphone app by power trace?” That is, whether the power trace of a smartphone can be different by running different applications.
Notice of Retraction Application of Response Surface Methodology for the Optimization of Partition Conditions of Emodin in Aqueous Two-Phase System

The purification of emodin in an aqueous two-phase system (ATPS) composed of tert-Butanal and sodium chloride was optimized by using response surface methodology (RSM). A central composite design was used to evaluate the influence of initial emodin concentration, pH, and concentration of tert-Butanol and sodium chloride on the extraction yield of emodin. The optimum conditions were determined as emodin 6.49μg/ml, pH 4.27, tert-Butanol 0.25% (v/v) and sodium chloride 011g/ml. It was observed that sodium chloride increased emodin partitioning. The optimal condition gave a yield of 92.04% for emodin partitioning and it was a good result for a first step purification.
Temporal rate-distortion based optimal video summary generation

Video summary work originates from a viewing time constraint. A shorter version of the original video sequence is desirable in some applications. Clearly, a shorter version is necessary in applications where storage or bandwidth is limited. Our work is based on visual significance analysis of frames in a video sequence and a video temporal rate-distortion optimization framework. Temporal rate defines the number of frames allowable into the video summary, while temporal distortion is computed based on MPEG-7 metrics between mismatched frames. Several one-pass and two-pass algorithms are proposed along with discussions on experimental results.
A slacks-based measure of super-efficiency in DEA with interval data

Data envelopment analysis (DEA) is a non-parametric technique for measuring the efficiency of decision making units (DMU) with exact input and output terms. So far, a number of DEA models with interval data have been developed. The radial DEA model such as CCR or BCC model with interval data are well known as basic DEA models with interval data. However, these radial DEA models have some defects. In this study, we develop a new approach based upon the slacks-based measurement (SBM) of super-efficiency model for dealing with interval data in DEA. The SBM super-efficiency DEA model can not only discriminate the performance of efficient DMUs from inefficient ones, but can distinguish between the efficient DMUs. In addition, this model can overcome the drawback that the super-efficiency model can be infeasible under variable returns to scale (VRS) assumption. An illustrative example is provided to verify the idea of this paper and show its potential application and validity.
Fast video shot retrieval based on trace geometry matching

Content-based video retrieval technology holds the key to the efficient management and sharing of video content from different sources, in different scales, across different platforms, and over different communication channels. In this work fast video shot retrieval algorithms based on the geometry of video sequence traces in the principal component space are presented. Techniques to address scale (spatial and temporal) issues, in addition to noise and other possible distortions, such as frame dropping, are discussed. Experimental results demonstrate the effectiveness of the proposed approach.
Experimental Study on Quench Detection of a No-Insulation HTS Coil Based on Raman-Scattering Technology in Optical Fiber

In the high-temperature superconducting (HTS) magnets applications, fast quench detection is very important to protect the magnets from burning out. Usually, the method of voltage measurement is widely applied to detect quench. However, this method is not satisfied for large HTS magnets intrinsically. Besides, a novel quench detection, which is measured by Raman-scattering-based distributed temperature sensors (DTS) using flexible optical fibers, is suggested to be a potential candidate. To verify the feasibility of this method, we prepared a DTS system based on interrogating Raman-scattering signals and a no-insulation (NI) HTS coil mounted by a 2-m length optical fiber as a test sample. The main results show that critical current of the NI coil is 111 A. In the continued overcurrent-induced quench state under coil current of 160 A, the temperature rise was observed obviously at the position of 1.2 m in the optical fiber, and the temperature was up to 94 K in the near middle region of top surface in the NI coil.
Permanent magnet reduction of IPMSM on efficiency map simulation

Reduction of permanent magnet materials is of interest to many designers as cost of rare earth increasing. In the paper, it is studied 20 % reduction of magnet size by optimizing shape of the magnets in Interior Permanent Magnet Synchronous Motor (IPMSM) and the aims to maintain the high efficiency map over the operating region. Finally, the Finite Element Method (FEM) Simulation result is verified by the testing.
A fractional-order active damping control approach for piezo-actuated nanopositioning stages

In this paper, a fractional-order control (FOC) based approach is proposed for piezo-actuated nanopositioning stage. The developed controller is not only to suppress the vibration of the low-damped resonant mode, but also to minimize the tracking error for nanopositioning applications. Firstly, an inverse hysteresis compensator is utilized to compensate for the inherent hysteresis nonlinearity of the piezoelectric actuator. Then, the fractional-order control technique is developed to suppress the unwanted vibration. For implementation, an Oustaloup method is presented to realize the approximation of the fractional differential operator. Meanwhile, the closed-loop poles placement method is employed to optimize the controller parameters. In this sense, a high-gain feedback controller can be designed to minimize the tracking errors of the nanopositioning stage. Finally, the effectiveness of the proposed control approach is demonstrated by comparative experiments on a custom-built nanopositioning stage. The results show that the fractional-order based control approach damps the resonant mode of the nanopositioning stage and improves the bandwidth from 108 Hz to 733 Hz.
Preparation and Release Dynamic of Ibuprofen Polymeric Prodrug with Glucose Pendant

A kind of polymeric prodrug of ibuprofen with glucose pendant was prepared through chemo-enzymatic method. The obtained polymeric prodrug was characterized by FT-IR, NMR and GPC. The molecular weight of the polymeric prodrug reached 2.126 × 104. Furthermore, the in vitro release behaviors of ibuprofen (raw drug) and the polymeric prodrug were investigated in pH 7.4 buffer solution at 37 oC. It was suggested that low-molecular-weight ibuprofen was fast released and the cumulative release amount was almost 100% after 3 h, while only about 4 % of parent drug was released from polymeric prodrug in the same time. The continuous release investigation showed that the cumulative parent drug amount released from the polymeric prodrug reached 32% after 10 days. Compared to the raw drug, the polymeric prodrug of ibuprofen with glucose pendant had a better effect of prolonged release, and the release of ibuprofen from polymeric prodrug exhibited first order kinetic equation.
Modeling of Communication-Based Train Control (CBTC) Radio Channel With Leaky Waveguide

In urban rail transit systems using communication-based train control (CBTC), leaky waveguide has been used as the propagation medium for the viaduct scenarios, as it can provide better performance and stronger anti-interference ability than free space. Based on the measurements of leaky waveguide, a model of CBTC radio channel with leaky waveguide is proposed in this letter. Our model shows that the large-scale fading is linear, and the path-loss exponent can be approximated by the transmission loss of leaky waveguide. The small-scale fading follows Log-normal distribution. In addition, the corresponding parameters of Log-normal distribution are also determined from the measurement results.
Robust adaptive control of piezo-actuated positioning stages with an ellipse-based hysteresis model

Piezo-actuated positioning stages are widely applied in many industrial applications for nanometer or sub-nanometer displacement resolution. However, the non-smooth hysteresis nonlinearity inherent to the piezoelectric material usually degrades the tracking performance of the controlled system. The challenge is that there is no general method to design control laws with general hysteresis models. The control algorithms are always developed based on a specific hysteresis model. In this paper, an ellipse-based hysteresis model is used to describe the hysteresis behaviors observed on the piezo-actuated positioning stages. The benefit for such a model lies on the fact that the expressions of the model are completely analytical and can be determined easily by a set of parameters. It is therefore convenient to fuse this model with the available robust control approach to mitigate the effects of hysteresis. To illustrate this advantage, a discontinue-projection-based robust adaptive controller is specifically designed, which guarantees the global stability of the closed control system and achieves excellent tracking performance within a desired precision. Simulation performed on a piezo-actuated positioning stage validates the effectiveness of the developed control approach.
A systems chemical biology approach to identify targets of antibacterial agents: A case study of Chelerythrine and Rhein

Mycobacterium tuberculosis (MTB) and Staphylococcus aureus (STA) are very common and complicated diseases that infect both humans and animals. The emergence of multidrug-resistant bacterium represents an urgent need to identify new drug targets and therapeutic drugs. In this study, we propose a systems chemical biology method to identify targets of anti-bacterial agents. This method integrates gene expression profiles of MTB upon chemical treatment and prior knowledge of protein-protein interactions (PPI) to predict antibacterial targets. We first validate the method by examining the targets of two approved anti-MTB drugs. Then, we predict the targets for Chelerythrine and Rhein, an anti-MTB natural product extracted from Chelidonium majus and a natural anti-bacterial agent for STA respectively. The identified targets are further evaluated visually by molecular docking and molecular dynamics simulation. The results show that our method is applicable for predicting the potential targets of anti-bacterial agents and has stable performance among multiple datasets across different species. Our strategy is expected to be used in target identification for other antibacterial.
Efficient human action recognition by luminance field trajectory and geometry information

In recent years the video event understanding is an active research topic, with many applications in surveillance, security, and multimedia search and mining. In this paper we focus on the human action recognition problem and propose a new Curve-Distance approach based on the geometry modeling of video appearance manifold and the human action time series statistics on the geometry information. Experimental results on the KTH database demonstrate the solution to be effective and promising.
Energy-Efficient Artificial Synapses Based on Flexible IGZO Electric-Double-Layer Transistors

Flexible low-voltage indium-gallium-zincoxide (IGZO) electric-double-layer transistors are fabricated on polyethylene terephthalate substrates at room temperature and proposed for energy-efficient artificial synapse application. The IGZO channel conductance and the gate voltage pulse are regarded as synaptic weight and synaptic spike, respectively. The energy consumption of our IGZO synaptic transistor is estimated to be as low as ~0.23 pJ/spike. Short-term synaptic plasticity and high-pass filtering behaviors are also mimicked in an individual IGZO synaptic transistor.
Based on the Attribute Encrypted Cloud Storage Scheme

With the wide application of cloud storage service, its security problem is apparent. The conspiracy resistance is a major problem. Aiming at this issue, we proposed a limited length of the ciphertext hidden control policies, which enhance the safety and at the same time improve efficiency. We establish cloud access control model, ABE encryption mode structure access control policies, and give the user revocation and access policies update method. Safety analysis shows that the scheme can resist conspiracy attack between users.
Low Power Tunneling Current Strain Sensor Using MOS Capacitors

Although microelectromechanical systems (MEMS) strain sensors have been widely researched and commercialized for decades, the increasing requirement for low power sensors is motivating research on new techniques. We present a new technology to make very low power sensors by measuring the tunneling current through a MOS capacitor. The tunneling current can be in the nanoamp range, which is a good alternative for low power sensing. We demonstrate a power consumption of a couple of nano-Watts with a minimum detectable strain of 0.00036%. The fabrication process is very simple and compatible with CMOS processes. We find that noise is lower in inversion region, and therefore, it is better to bias device to inversion region. To study the sensitivity in the inversion region, a model was developed to compute the strained tunneling current comprised of electron conduction band tunneling current and electron valence band tunneling current. The model fits our experiment very well.
Motion Control of Piezoelectric Positioning Stages: Modeling, Controller Design, and Experimental Evaluation

In this paper, a general skeleton on modeling, controller design, and applications of the piezoelectric positioning stages is presented. Toward this framework, a general model is first proposed to characterize dynamic behaviors of the stage, including frequency response of the stage, voltage-charge hysteresis and nonlinear electric behavior. To illustrate the validity of the proposed general model, a dynamic backlash-like model is adopted as one of hysteresis models to describe the hysteresis effect, which is confirmed by experimental tests. Thus, the developed model provides a general frame for controller design. As an illustration to this aspect, a robust adaptive controller is developed based on a reduced dynamic model under both unknown hysteresis nonlinearities and parameter uncertainties. The proposed control law ensures the boundedness of the closed-loop signals and desired tracking precision. Finally, experimental tests with different motion trajectories are conducted to verify the proposed general model and the robust control law. Experimental results demonstrate the excellent tracking performance, which validates the feasibility and effectiveness of the proposed approach.
Large Visual Repository Search with Hash Collision Design Optimization

Visual search over large image repositories in real time is one of the key challenges for applications such as mobile visual query-by-capture, augmented reality, and biometrics-based identification. Search accuracy and response speed are two important performance factors. This article focuses on one of the important elements of this technology that enables large-scale visual search: indexing (or hashing). Indexing is the process of organizing a database of searchable elements into an efficiently searchable configuration. The searchable elements in our case are compact features extracted from images. This article explores a new indexing scheme. The authors optimize the design of a hash-code collision and counting scheme to enable fast search of visual features of MPEG CDVS.
Multi-rate hybrid codec and its performance evaluation for image compression

A new multi-rate hybrid codec algorithm, MRHC, is proposed in this paper. It uses the embedded code stream of the wavelet image and combines both the source coding and the channel coding into one procedure. By applying puncture factor to a convolution code, the error correction codes can also be implemented while the image compression is carried out. This method can optimize the rate allocation and greatly enhance the wavelet image resilience to channel errors.
A fault diagnosis model for power transformer based on statistical theory

A multi-level fault diagnosis model for power transformer fault diagnosis based on Statistical theory is presented The fault information within Dissolved Gas Analysis (DGA) is used to build fault diagnosis model and the fault diagnosis is accomplished according to the concentration distribution of typical fault gases in higher dimensional space. The proposed approach is constructing the most accuracy model from few training samples supporting, and it is very suitable to solve the problems of less typical fault data for diagnosis. The results of using the proposed model to analyze some known samples of testing data of faulty transformers show that the model possesses strong solving ability to deal with the problem. Moreover, by comparing with the traditional dissolved gas analysis methods like the neural network, there is less fault data discriminated by the proposed model and the accuracy for power transformer fault diagnosis is improved using our proposed model.
CRG Godel Based High-level Test Generation algorithm for VLSI

The development of IC technique, makes IC test to become more and more difficult, and the test expenses has been taken higher proportion in total cost of the IC product, the test expenses even may go higher than the manufacturing cost. Existed high-level circuit models usually can not behave well to demonstrate the controllability, the observability, and the sequence information. Aimed at settle this common problem, a new CRG circuit model was abstracted in this paper. The model is based on the widely adopted techniques in the circuit design, the register transfer level (RTL) behavioral descriptions. The model has the capacity to show the circuit control manner and the data relationships. And on the base of this circuit model, directly test generation method or testability analysis method was proposed. The experimental result indicated that, the proposed model and corresponding algorithm are effective, and the generating test sequence can be used not only in design confirmations or chip test, but also have ability for helping testability analysis for high level description.
Content-aware utility-fair video streaming in wireless broadcasting networks

In wireless multi-content video broadcasting system, a critical problem is fairness among contents with respect to heterogeneous characteristics. To address this problem, we propose an approach of content-aware utility-fair streaming control scheme, which aims at heterogeneous QoS video provision and ensures max-min utility-fair sharing among video streams. First, we introduce a hybrid temporal-spatial quality metric to model content-aware utility so as to serve mobile users with heterogeneous QoS requirements. Second, we use max-min utility-fair scheme to guide rate allocation and video content generation among multi-content video broadcasting. Simulation results demonstrate the proposed approach can achieve utility fair among multiple video contents, and provide better quality of service to all broadcasting users especially when available bandwidth is limited.
Imitation of Plants Inflorescence Based on Fusion of L-System and IFS

Plants simulation is one of the research domains which are full of challenges. Since the L-System and IFS both have limitations in the field of plant inflorescence simulation, the images of plant organs generated by using L-System or IFS are lack of enough real changes. The paper proposed a method that integrated iterated function system with L-System using Visual Basic6.0 as development environment for programming tools, and produced plant inflorescence finally which was more realistic.
AC Loss Characteristics of HTS Wires Carrying Currents With Different Waveforms

When applying high-temperature superconductor (HTS) devices in power systems, ac loss is a significant obstacle from an economic perspective. Many studies have been performed to investigate this issue, but the ac losses for different current waveforms have rarely been reported. However, in power systems, many nonlinear devices can distort current waveforms. For example, currents of converters have ripples, no-load currents of transformers are peaked waveforms, and currents of motors are normally nonsinusoidal. To investigate the influence of current waveforms on ac losses, three types of currents with different waveforms, namely, sine waves, peaked waves, and flat-topped waves, are studied using three types of HTS wires, namely, Bi2223 wire, YBCO wire with nonmagnetic substrate (Hastelloy C276), and YBCO wire whose substrate is ferromagnetic (Ni-5at.%W). The experimental results show that ac losses of HTS wires are independent of frequency when carrying sine currents and that they are dependent on frequency when carrying peaked and flat-topped wave currents. Moreover, for all types of measured wires, particularly YBCO wire with ferromagnetic substrate, measured ac losses are highly dependent on current waveforms. In the end, the authors provide a discussion for the experiment phenomenon from the point of magnetic flux creep.