nils-herrmann/clean_scirepeval huggingface dataset:
Adaptive program filtering under vector space model and relevance feedback

The overabundance of DTV (digital television) programs precipitates a need for smart "filters" to help people obtain programs that they really like. In this paper, we propose an adaptive program filtering system, which is designed to assist users by adapting to their personal preferences. We firstly provide architecture of the program filtering system. Secondly, we present the user profile and program feature representation model and similarity measurement using vector space model. Thirdly, we describe the user profile learning algorithm based on relevance feedback. For user profile learning, we first put forward a primary learning algorithm. With several issues in further consideration, we then present the improved learning algorithm, which is more reasonable and comprehensive than the primary one. Finally, we present the performance evaluation on the prototype of the system.
Clothing Cosegmentation for Shopping Images With Cluttered Background

In this paper, we address an important and practical problem of clothing cosegmentation (CCS): given multiple fashion model photos with natural backgrounds on e-commerce websites, to automatically and simultaneously segment all images and extract the clothing regions. However, cluttered backgrounds, variations in colors and styles, and inconsistent human poses all make it a challenging task. In this paper, a novel CCS algorithm is proposed to improve the accuracy of clothing extraction by exploiting the properties of multiple clothing images with the same apparel. First, the co-salient objects are computed by detecting the upper bodies of fashion models and transferring their locations within multiple images. Based on the coarse clothing regions determined by the upper body localization and co-salient object detection, the foreground (clothing) and background Gaussian mixture models are estimated, respectively. Finally, the clothing region in each image is extracted through energy minimization based on graph cuts iteratively. The proposed cosegmentation algorithm is mainly designed for multiple clothing images. As a byproduct, it can also be applied to single image segmentation without any modification. The experiments demonstrate that the proposed approach outperforms the state-of-the-art cosegmentation methods as well as traditional single image segmentation solution for shopping images.
Experimental and Numerical Investigation on Electromagnetic Absorption and Diffraction by the Plasma-Covered Cavity

To produce a plasma layer (area of 1.3 m2 and power of 1.8 kW) covering the inner surface of a metal cavity (diameter of 45 cm and length of 120 cm), a certain number of standard commercial fluorescent lamps were placed directly against one another. Electromagnetic (EM) scattering of a 1- to 3-GHz EM wave has been studied experimentally and theoretically for a metal cavity and a plasma-covered metal cavity. When the EM wave hits the cavity at the front aspect angle, a significant return loss of as large as 10 dB in the frequency of 1-2 GHz and trends to a peak of 20-30 dB near 1.25-1.5 GHz were observed. Using the finite-difference time-domain method, transient scattered fields of EM wave from cavities were achieved. The loss of the EM wave with covered plasma was proved to be a result of the absorption by the plasma, but not from the turning or bending of the wave entering the plasma.
Independent component analysis combined with compressed sensing for EEG compression in BCI

Considering the limitation of hardware requirement and power dissipation in wearable brain-computer interface (BCI), the electroencephalogram (EEG) data compression implemented by independent component analysis (ICA) combined with compressed sensing (CS) is proposed in this paper. A simple and effective ICA spatial filtering method is used to obtain motor related independent components (MRICs). Furthermore, CS algorithm is introduced to compress MRICs, which have advantage of frequency sparse. So the proposed scheme can make few MRICs compressed transmission instead of the multi-channel EEG data transmission. Based on the measured motor imagery EEG data, the proposed EEG compression scheme is compared with the traditional CS compression scheme. The experimental results show that, the two system schemes have the similar classification accuracy. However, in the proposed compression scheme, the amount of transmission data can be reduced by 75%.
Intellectual capital and firm performance in chinese creative industry firms

Most knowledge development efforts in intellectual capital and creative industries have focused on Western economies and companies. This study develops and tests empirically a theoretical model that focuses on how intellectual capital variables influence firm performance in developing countries under the conditions of knowledge economy. Based on the literature and in-depth interviews, the authors developed 7 research hypotheses and examined empirically these hypotheses using the data collected from 168 Chinese creative industry firms by means of ¿on-site¿ survey. The findings suggest that elements of intellectual capital including human capital, structural capital, intellectual property capital and relationship capital have almost positively direct effects on firm performance. However, control variables including external environment and firm size have negatively direct impacts on firm performance.
The Study on Basic Approaches of Firms' Using IT with a Resource-Based Perspective

The evolution of information technology (IT) in firms can be captured in some stages, and each stage displays distinct characteristics regarding the application of IT and has different objectives. Thus, different IT resources and skills are needed in different stages. The purpose of this paper is to develop the theoretical links between IT capability and the stage of firm's using IT. Firstly, three stages of IT applications in the firms are identified: internal integration focus effectivity, external integration focus effectivity and strategic orientation. Secondly, three levels of IT capability are analyzed in detail. Based on resource-based view (RBV), a model linking the level of IT capability with the stage of IT applications is built finally in this paper. In order to build competitive advantage, firms must cultivate and upgrade its IT capability dynamically according to the evolution of IT applications.
Mission Reliability Evaluation of Development System Based on BDD Method

Iteration is one of main factors that influence mission time of development system. Mission reliability is analyzed under consideration of influence of iteration in mission. At first, the definition of incremental time ratio in iteration is given. Cut set is solved by a new kind of method derived by BDD method through analysis of path of development net. BBD method is used to disjoint cut set, and then mission reliability is solved. An example is given to explain this algorithm. The algorithm is valid and simple
Compact Differential Ultra-Wideband Bandpass Filter With Common-Mode Suppression

A compact differential ultra-wideband (UWB) bandpass filter (BPF) with planar structure is presented. The circuit of the proposed filter is analyzed, showing that the differential-mode circuit, which consists of two short-ended stubs and an open-ended parallel-coupled lines, performs as a UWB BPF. While the common-mode circuit performs as a UWB bandstop filter, and the common-mode responses are suppressed across the whole UWB differential passband. A microstrip differential UWB BPF is designed, simulated and measured. Simulated and measured results show that the proposed filter has compact size (0.35λg×0.7λg), UWB differential passband (3 dB fractional bandwidth 119%) and UWB common-mode suppression (-10 db attenuation across 2.6-12 GHz).
Mental EEG analysis based on independent component analysis

The patterns of EEG changes with the mental tasks performed by the subject. In the field of EEG signal analysis and application, the study to get the patterns of mental EEG and then to use them to classify mental tasks has the significant scientific meaning and great application value. But for the reasons of different artifacts contained in EEG, the pattern detection in EEG produced from normal mental states is a very difficult problem. In this paper, independent component analysis is applied to EEG signals collected from different mental tasks .The experiment results show that when one subject performs a single mental task in different trails, the independent components of EEG are very similar. It means that the independent components can be used as the mental EEG patterns to classify the different mental tasks.
Multiclass Support Vector Machines Theory and Its Data Fusion Application in Network Security Situation Awareness

Network security situation awareness (NSSA) is an emerging technique in the field of network security and helps administrators to monitor the actual security situation of their networks. This paper mainly focuses on NSSA based on heterogeneous multisensor data fusion. We presented a model which adopted Snort and NetFlow as sensors to gather data from real network traffic. We employed Support Vector Machines as the fusion engine of our model and used efficient feature reduction approach to fuse the gathered data from heterogeneous sensors. Furthermore, we discussed the alert aggregation and security awareness generation techniques detailedly. Our model is proved to be feasible and effective through a series of experiments.
RFID Application Framework for pharmaceutical supply chain

Recently, RFID technology is becoming the focus of the research. It can be applied into several industries including pharmaceutical. Most of RFID researchers throw their power on the benefits and investment evaluation, but none of a more comprehensive framework for RFID application exists as a reference for application in pharmaceutical Industry. In this paper, we examine open literature and industry white papers, based on the RFID application framework obtained by multi-case study done in the work before, to revise and perfect it on the side of process steps, data management, as well as critical success factor. Subsequently we analyze the pharmaceutical process based on RFID application process framework, propose RFID-based pharmaceutical process and extract critical success factors (CSF) from the perspective of technology and management. Our research is aim to provide a reference for the enterprises which intend to adopt RFID, and accelerate the pace of RFID application in pharmaceutical supply chain.
The four-chamber hydraulic cylinder

In the control of traditional hydraulic systems, there will be large pressure fluctuations for the ordinary hydraulic cylinders in the condition of varying load. For this case, we design a four-chamber hydraulic cylinder. By using the hollow rod as another cylinder body, we make two-chamber ordinary hydraulic cylinder into four-chambers. In the control of digital fluid power systems, the number of force values can be obtained by increasing the number of supply pressure to fit the varying load. The results show that the four-chamber hydraulic cylinder can save spaces and costs, improve the working efficiency and effectiveness.
A high power efficiency Class AB switched-opamp for low voltage low power sigma-delta modulators

Two-stage Class-A switched-opamp (SO) is the most popular module in previous low voltage low power SO sigma-delta modulators (SDM). The SO saves about 30%∼40% of the total power since its output stage is just turned off at the integrating phase. To further increase efficiency a novel high power efficiency class AB current mirror SO is proposed in this paper. By turning off the entire SO together with its common mode feedback (CMFB) circuit, the power consumption of the SO can be reduced by 50%. A Class-AB load-compensated opamp version improves the power efficiency further. The proposed SO was fabricated in a 0.35µm TSMC CMOS standard process and achieved a DC gain of 62.7dB, a GBW of 4.39MHz and a slew rate of 1.2V/µs when the load capacitor is 10pF. The effective power consumption including the CMFB circuit is 6.6µW under 1.5V supply voltage. The simulation results showed that the proposed SO can be applied to low power low voltage SDM with a frequency of less than 0.5MHz.
Cascade constrained DMC-PID control for SCR denitrification system

This paper develops a novel cascade constrained DMC-PID strategy for control of the Selective Catalytic Reduction (SCR) denitrification system in coal-fired power plant. To deal with the strict input output constraints of the SCR denitrification system while guaranteeing the feasibility of the predictive controller, slack variable is introduced in the controller design to soften the constraints. Simulation results demonstrate the advantages and effectiveness of the proposed approach.
Study on the Turnover Intention of Knowledge Employees Influenced by Person-Organization Fit (POF)

This article abstracts the essential organization influence variable from the variable analysis on the cause influencing the turnover intention of knowledge employees, i.e. the influence of enterprise value on knowledge employees. Meanwhile, basis on the closely relationship between value and POF, it makes a conclusion that the POF can decrease the turnover intention of knowledge employees and designs theoretic hypothesis model. It also proposes outlooks to the further study in future.
Outward foreign direct investment strategy and technological capabilities accumulation: A case study

A number of developing-country firms made headlines when they invest abroad recently. Such headlines increased the interest of researchers in outward foreign direct investment (FDI) from developing countries. This paper focused on the relationship between developing-country firms' outward FDI strategy and their technological capabilities accumulation. This relationship was examined through a case study of a Chinese automotive components manufacturer. This study found out that outward FDI strategy has positive effects on developing-country firms' technological capabilities accumulation. And these effects were positively associated with firm's absorptive capacity.
Coronary Angiography Image Edge Detection Based on Information Measure

A new edge detection method is presented based on the information measure, and the new method is applied to the coronary angiogram. Firstly, the blood vessel path points are found by using the square template, and the quasi-center curve of the vessel segment is obtained by using the minimum gray scale criteria and the smoothing technical. Then the orientation information measure concept of an image is introduced, and the l values of the information measures of the l points in the same row or the same column are calculated according to the quasi center curve. Finally, the point with the maximum information measure is defined to be the edge point and the edge curve is acquired. The experimental results show that the new method can effectively distinguish the noise points and identify the edge points with the better accuracy. This method has a good immunity in noise. The experimental result is quite satisfactory.
Design of a Novel Analog Voltage-Based Maximum Power Point Tracking Control IC

To obtain the maximum power drew from the photovoltaic (PV) array as well as to control small power PV systems more easily and conveniently, a novel analog voltage-based maximum power point tracking control IC was proposed in this paper. Not only is the IC involved in tracking the maximum power point (MPP) of the PV array, but it also renews the value of MPP voltage each interval to detect the real-time output voltage of PV panel. The chip was designed and implemented in 1.5 mum BCD technology. The simulation results showed that the dynamic response time to impulse of either temperature or solar radiation strength was less than 2 ms and the static settling time was about 3 ms with 0.05% ripples.
Half-Face Dictionary Integration for Representation-Based Classification.

This paper presents a half-face dictionary integration (HFDI) algorithm for representation-based classification. The proposed HFDI algorithm measures residuals between an input signal and the reconstructed one, using both the original and the synthesized dual-column (row) half-face training samples. More specifically, we first generate a set of virtual half-face samples for the purpose of training data augmentation. The aim is to obtain high-fidelity collaborative representation of a test sample. In this half-face integrated dictionary, each original training vector is replaced by an integrated dual-column (row) half-face matrix. Second, to reduce the redundancy between the original dictionary and the extended half-face dictionary, we propose an elimination strategy to gain the most robust training atoms. The last contribution of the proposed HFDI method is the use of a competitive fusion method weighting the reconstruction residuals from different dictionaries for robust face classification. Experimental results obtained from the Facial Recognition Technology, Aleix and Robert, Georgia Tech, ORL, and Carnegie Mellon University-pose, illumination and expression data sets demonstrate the effectiveness of the proposed method, especially in the case of the small sample size problem.
Nondestructive evaluation of MEMS devices by laser confocal measurements

This paper proposes an innovative nondestructive evaluation (NDE) setup for MEMS mechanical deformation measurements. The setup is based on an active laser confocal displacement meter, and a computer controlled motor-driven 3-dimension (3D) stage. The out-of-plane measurement resolution of the scanning confocal setup is 0.1 /spl mu/m. The maximum measurement range is 0.3 mm out-of-plane and 60 mm/spl times/60 mm in plane, respectively. The principle of the measurement method is introduced briefly. A multilayer piezoelectric acoustic MEMS membrane was fabricated and measured by using this setup. The profile of membrane was estimated. Nonlinear response feature of the membrane to direct current bias voltage was observed. The residual stresses of individual layer of the membrane were estimated according to Stoney's theory. The test results gave quantificational description of MEMS membrane deformation, which can guide the optimal design of the acoustic devices. The laser confocal technique proved to be a valuable micro-NDE characterization tool.
On Modeling and Verifying of Application Protocols of TTCAN in Flight-Control System with UPPAAL

TTCAN is the most potential protocol used to construct the communication layer of flight control system of unmanned aircraft vehicle (UAV). In this paper, we propose a novel UAV flight control system design which is based on TTCAN. We not only design the model of the system but also verify its non-functional properties such as reliability, security, schedulability and fault-tolerance ability with the model checker UPPAAL. In addition, we design 58 timed automata to verify UAV flight control system. The result of the experiment is also demonstrated to illustrate that the system is feasible and reliable.
The Investigation on Spectrum Properties of Laser-Induced Bubble Sound Waves

The laser-induced bubble sound waves during the highpower laser and matter interaction in liquid are investigated by experiments. By the piezoelectric transducer (PZT) hydrophone, laser-induced cavitation bubble collapse sound waves at different conditions are measured by experiments. The signals of sound waves are analyzed based on fast fourier transform (FFT).The investigation results show the peak of frequency is reflected by the radius of lasergenerated bubble, and the frequency peak decreases with the radius increasing. The results are of values in theoretical and applied research in cavitation noise. Keywords-laser-induced cavitation bubble;sound waves; property of spectrum; PZT hydrophone
Study on the Mechanism of Microorganism Purged Wastewater in Sequence Constructed Wetland Process

The genric and amounts of microorganisms and effects of condition on microorganisms were investigated in sequence constructed wetland process, as well as removal COD, NH4+-N and TP efficiency were investigated. The results obtained from test indicated that: there were 9 kind strains of microorganisms in constructed wetland, the major factor influencing the occurrence of each strain is the dissolved oxygen (DO); the major factor influencing the amounts of each strain is the temperature. lower effluent COD, NH4+-N and TP concentrations and higher percentage COD, NH4+-N and TP of removal are attained in summer, the other way round, higher effluent COD, NH4+-N and TP concentrations and lower percentage COD, NH4+-N and TP of removal are attained in winter.
Ultra-low power MOSFET-only micromation multi-bit quantizer for implantable neural applications

Several power and area efficient multi-bit quantizers are discussed in this paper. Through the comparison and analysis of the reported quantizers, a novel ultra-low power MOSFET-only micromation one for implantable neural applications is proposed to optimize the area and power consumption with the use of high density MOSCAP and dynamic comparators. Simulated in a 0.18µm 1P6M CMOS process, the density of the proposed series-PMOS capacitor reaches 2.1fF/µm2 at a 1.2V supply voltage, which is almost 1.5 times higher than that of the traditional Metal-Insulator-Metal (MIM) capacitor. The current power consumption of the proposed 9-level quantizer is only 0.14µA clocked at 512 kHz, and its area cost is 11200µm2. Compared with the conventional architecture, over 95% power and 80% area are saved. The simulation results show that the proposed quantizer is suitable for Delta-Sigma modulator designs.
Research of Personalized Medical Testing Technology for Healthy Smart Home

This paper proposes design ideas for personalized medical testing technology of healthy smart home. The system architecture and design of physiological parameter detection sensors with wireless, low-costing and low power consumption are expounded. And the study of ECG monitoring in this system is presented to solve the key problem of ambulatory physiological parameter monitoring. Moreover, a design of communication network for healthy smart home is put forward as well, and some research and test on local communication network which is consisted of ZigBee nodes are discussed, the occupants' physiological parameters that have converged can be transmitted over long distance via TCP/IP network. So the smart home and the community health service center will be built up a medical monitoring system.
Direct self control of induction machines fed by a double three-level inverter

For variable speed induction motor drives with very high power and extreme demand on the quality of torque, a novel concept of feeding an induction machine with open windings by two gate-turn-off (GTO) three-level inverters is investigated. For optimal operation with the restricted switching frequency of these high-power inverters, direct self control (DSC) is mostly suited, which is well proven with two-level and three-level inverters in traction, allowing a highly dynamic control of the induction machine. In comparison with two-level and three-level inverters, torque ripple and distortion of motor currents are efficiently reduced, while maintaining the excellent dynamic qualities of DSC.