nils-herrmann/clean_scirepeval huggingface dataset:
An Information System Security Risk Assessment Model Based on Fuzzy Analytic Hierarchy Process

Information system is a large-scale complex system. It includes many uncertain factors, as software, hardware, people and so on. As a result, information systems security risk is related to many ambiguous factors, what are difficult to measure, with ambiguity. This paper introduces the information system security risk generating mechanism, and based on the risk assessment of factors, builds information system security risk assessment model based on fuzzy analytic hierarchy process, which could be used to evaluate the security situation of information system.
Event-e-ISS for discrete-time impulsive dynamical networks

This paper investigates the exponential input-to-state stability under impulsive events (called as event-e-ISS) for discrete-time impulsive dynamical networks (DIDNs). Two cases (with/without coupling time-delays) are studied respectively for the event-e-ISS of DIDNs. By employing the IS-E properties of subsystems, the gains of events, and the method of multiple Lyapunov-like functions, criteria of event-e-ISS are established. Finally, one example is worked out for illustration.
A vacuum interrupters internal pressure on-line condition monitoring system

The reliability and intelligence of vacuum circuit breakers related to the digitization of the substations directly, however, the internal pressure in vacuum interrupters (VIs) is an important indicator parameter of the breaking capability and life. To realize the On-line condition monitor of VIs' internal pressure, weighting the domestic and international on-line monitoring method, we select the coupling capacitance sensor with Advantages of simple composition, long service life and low cost, Real-time monitoring the AC component variables(Δ UAC) and DC component variables(Δ UDC) potential on shield of VIs. Two processors was configured on the monitor system respectively EP2C8Q (FPGA) and TMS320LF2812 (DSP), trying to play the superiority of the two processors and achieve the optimal efficiency. Besides, the conversion algorithm of changing potential on shield of VIs to internal pressure values was studied and the Ethernet communication module based on IEC61850 was designed for uploading data in IED of process level to BAY/UNIT level. Besides, the system was designed with high EMC to ensure the anti-jamming capability. Experimental data and on-site operating results proved that the monitor devices get the advantages of high sensitivity, reliability and strong EMC, and it was applicable in new generation of smart grid.
Almost exponential stabilization for stochastic dynamical systems under event-triggered impulsive control

This paper studies the issue of the almost exponential stabilization for stochastic dynamical systems (SDS) by using event-triggered impulsive control (ETIC). The ETIC scheme is designed by setting three levels of event conditions. The criteria on almost exponential stabilization are derived for the controlled SDS. Thus the almost exponential stabilization is achieved for SDS under the designed ETIC. Finally, one example is given for illustration.
Studies on thermally induced packaging effects of surface acoustic wave devices: Simulation and experiment verification

This paper presents the studies on the influences of thermally induced package effects on radio frequency (RF) characteristics of surface acoustic wave (SAW) devices. A packaged SAW resonator is modeled based on finite element method (FEM), and surface deformation of the chip substrate during packaging process is analyzed. RF characteristics of the device are simulated and compared before and after packaging. Experiments are conducted to validate the simulation and analyses results. Both the simulation and experiments show a frequency shift of dozens of kHz between naked and packaged device.
Coupling Analysis for Wires in a Cable Tray Using Circuit Extraction Based on Mixed-Potential Integral Equation Formulation

The China high-speed trains use cable trays to neatly arrange the cables running through the distributed systems. On one hand, they protect cables against external electromagnetic interference and reduce external radiation from the cables. On the other hand, the cable trays create waveguide structures that affect the coupling among cables inside the cable trays. To simplify coupling analysis for cables going through a cable tray, a lumped circuit model was built using admittance blocks extracted from a mixed-potential integral equation (MPIE) formulation. In the MPIE formulation, either the half-free space or the waveguide dyadic Green's function was used depending on the region where the cables were. A test case was investigated. Results by the proposed circuit model were validated by measurement and full-wave simulation results.
Site and Size Selection Strategies of Energy Storage System Based on Power Supply and Storage Capability Index

Energy Storage System (ESS) is the implementation basis of active control in smart distribution grid, benefiting the smoothing of output power, load fluctuations, and the voltage quality. Firstly, a Supply and Storage Capacity Index (SSC) considering the variety constraints of power conversion, power flow and network topology is proposed, so as to quantitatively analyse the charging and discharging capability of ESS interconnected into power grid. Secondly, the safe operation objective function of the load transfer capability, which is based on SSC, is calculated. This can be used to evaluate the safety margin of ESS and DG integrated distribution network. Based on these, the ESS sitting and sizing problem, which considers both the system security and economics, is solved with the improved nondominated sorting genetic algorithm. The proposed method has been validated in a representative area in China, which is the pilot demonstration region in Guizhou province according to the project of research and application of intermittent energy consumption and optimization for Active Distribution Network, which is supported by the National High-tech R&D Program (863) of China.
Modeling and simulation of Parallel Current Mode controlled boost converter

In this paper, Parallel Current Mode Control method for Boost DC-DC converter is proposed. The parallel current mode control strategy is composed of two parallel terms: one is voltage term, the other is current term. They are calculated based on the input voltage, reference output voltage, inductor current and reference inductor current. The Parallel Current Mode Control method essentially distinguishes itself from the conventional current mode control method with two regulators, one for voltage regulation and the other for current regulation. Under the conventional Voltage Mode Control method and the new control method, small-signal models of Boost DC-DC converter are derived. The simulation result (based on the transfer functions) using Matlab/Simulink is compared with the simulation result based on the circuit simulation model, using PSIM. Results both in Matlab/Simulink environment and in PSIM environment are in good agreement, confirming the validity of the small-signal model. Both the small-signal analysis and simulation results demonstrate that Parallel Current Mode Control has superior performance as compared with Voltage Mode Control.
A study on multiple information fusion technology in obstacle avoidance of robots

On the basis of previous rationales of multiple information fusion, this article suggests the process of information fusion on the basis of intelligence technologies of artificial neural network by adopting human-simulating intelligence algorithm. It is verified that a better fusion effect may be achieved. In consideration of actual conditions of laboratory, we performed fusion of information collected by the multiple sensors of intelligent mobile robot, and apply the human-simulating multiple information fusion method in the obstacle avoidance experiment of intelligent mobile robot. We compared the new test results with that of traditional logical judgment-based obstacle avoidance, summed up the advantages of human-simulating multiple information fusion method in mobile robot obstacle avoidance, depicted the traveling path of robot by picture and indicated apparent obstacle avoidance effect.
A convolutional neural network approach for half-pel interpolation in video coding

Motion compensation is a fundamental technology in video coding to remove the temporal redundancy between video frames. To further improve the coding efficiency, sub-pel motion compensation has been utilized, which requires interpolation of fractional samples. The video coding standards usually adopt fixed interpolation filters that are derived from the signal processing theory. However, as video signal is not stationary, the fixed interpolation filters may turn out less efficient. Inspired by the great success of convolutional neural network (CNN) in computer vision, we propose to design a CNN-based interpolation filter (CNNIF) for video coding. Different from previous studies, one difficulty for training CNNIF is the lack of ground-truth since the fractional samples are actually not available. Our solution for this problem is to derive the “ground-truth” of fractional samples by smoothing high-resolution images, which is verified to be effective by the conducted experiments. Compared to the fixed half-pel interpolation filter for luma in High Efficiency Video Coding (HEVC), our proposed CNNIF achieves up to 3.2% and on average 0.9% BD-rate reduction under low-delay P configuration.
2-D FFT for Periodic Noise Removal on Strain Image & &

Elastography is a non-invasive method in which stiffness of soft tissue is displayed as strain images to assist in detecting or classifying tumors. External tissue compression causes axial displacements which are subsequently computed and converted to strain. However, in this processing, periodic artifacts often corrupt the image quality severely. This paper presents a 2-D FFT removal algorithm for reducing such artifacts in ultrasonic strain imaging. Because the periodic pattern of the artifacts, we apply the 2-D FFT in the strain image to extract and remove the peaks which are corresponding to artifacts in the frequency domain. Computer simulations and in vitro testing demonstrate our proposed method performs quite well in removing strain image artifacts.
Embeded EEPROM Memory Achieving Lower Power - New design of EEPROM memory for RFID tag IC

A 2-kb embedded EEPROM memory, operating over a wide voltage range (typically 2.5 V-5 V), was designed and fabricated using the SMIC 0.35-mum 2P3M CMOS embedded EEPROM process. The chip size is about 0.6 mm2. The method of adding control transistors improved the static power dissipation. The transient power consumption of the charge pump circuit was greatly reduced by using a slowly varying clock. The proposed SA using a voltage sensing method also significantly improved the read power dissipation. By employing these techniques, a low-power embedded EEPROM memory with 40 muA read current and 250 muA page write current was developed, that achieved much lower power than EEPROM memory designs reported in scientific journals or conferences. This EEPROM memory was used in the ISO/IEC 15693-compatible RFID tag IC project
A Rapid Dimension Hierarchical Aggregation Algorithm on High Dimensional Olap

In the high dimensional DW, we full materialized the data cube impossibly. In this paper, we propose a novel aggregation algorithm, DHEPA, to vertically partition a high dimensional dataset into a set of disjoint low dimensional datasets called fragment mini-cubes. Using inverted hierarchical encoding indices and pre-aggregated results, OLAP queries are computed online by dynamically constructing cuboids from the fragment mini-cubes. As a result, the method we proposed in this paper can greatly reduce the disk I/Os and highly improve the efficiency of OLAP queries
Research on calculation method of the scope of groundwater environmental impact assessment for mountain tunnels

It is urgent to study on groundwater environmental impact assessment of mountain tunnel projects as the growing tension between tunnel construction and groundwater environment protection. Determination the assessment scope is an essential step while few of the researches on this subject were carried out except some qualitative analysis. In this study, a preliminary exploration on how to determine the assessment scope of groundwater was obtained with both quantitative calculation and qualitative analysis. Of note, it is difficult to determine assessment scope accurately as the successful determination depends on various factors. But based on predicting the water gushing effected area of tunnel, it can be comprehensively determined combined with hydrogeological conditions in tunnel site. By analyzing existing calculation methods of the effect range of tunnel water gushing, a new prediction method was derived from water yield formula of infiltration channels, and applied to two typical tunnels in Karst area and Redrock region southwest respectively and the scopes of their evaluation were also predicted out combined with hydrogeological conditions in tunnel sites.
Setup and performance of a combined hardware-in-loop and software-in-loop test for MMC-HVDC control and protection system

Despite the rapid development of VSC-HVDC technology, the practical experience to operate modular multi-level converter (MMC) has not yet been sufficiently accumulated. Real-time simulation is one of the most efficient approaches to verify the control and protection (C & P) scheme under various contingencies. With the increasing number of sub-modules, the accurate simulation of the MMC-HVDC becomes more difficult, as it requires larger computing resources and more complex interface between the test platform and the C&P system hardware devices. This paper proposes an application of real-time simulation, which combines the hardware-in-loop (HIL) and software-in-loop (SIL) approach to test a control and protection system for MMC-based HVDC links. In the proposed system, a pole control and protection (PCP) will be tested using the HIL approach, while the valve base controller (VBC) is tested using the SIL method. The setup of the test rig and performance is demonstrated in this paper.
Distributed Relational Data Sharing Based on P2P

Due to having many benefits, P2P is attracting the attentions of industries and academia. Data sharing is one of the fields which P2P has been exploited in. However, data sharing in current P2P Systems is mostly restricted to file-system-like capabilities, and can’t directly deal with relational data. Furthermore, under some situations, data integration methods in traditional database field can’t carry out. The merge of P2P and database technology provides a new approach to solving the problem. In this paper, firstly we present the backgrounds of the emergence of PDBS (P2P Database System). Secondly, we give an overview of related work. Then we simply review P2P technology form the aspects of character and overlay network’s classification, and analyze the similarities and differences between PDBS and DDBS (Distributed Database System). We also present a PDBS prototype instance: PeerDB.
Static Output Feedback Control of Uncertain Dynamic Fuzzy Systems

This paper examines the problem of static output feedback control of a T-S fuzzy system. The existence of an uncertain static output feedback control is given in terms of the solvability of bilinear matrix inequalities (BMI). An iterative algorithm based on linear matrix inequality (LMI) is developed to compute the uncertain static output feedback gain. A numerical simulation example is used to illustrate the effectiveness and the convergence of the design methodologies.
Business models and solution architectures for SMB financing in a supply chain ecosystem

In this paper, characteristics of financing requests from SMB supply chain trading partners is investigated, and new financing models are proposed: transaction based credit financing is developed for SMB suppliers to raise financing requests using transaction related documents, risk is mitigated by the credit line transferred from downstream core manufacturer; Mortgage based warehouse financing is explored for SMB dealer and distributor to raise financing requests using stock deposit at the warehouse. In this way risk is reduced by the control of stock. Business integration and risk control related techniques are essential for the proposed business models. Key technologies and architecture that support the proposed financing models are discussed
Improving Inverse Wavelet Transform by Compressive Sensing Decoding with Deconvolution

By virtue of compressive sensing (CS) that can recover sparse signals from a few linear and non-adaptive measurements, we propose an alternative decoding method for inverse wavelet transform when only partial coefficients are available. Classic CS decoding such as $l_1$-minimization indeed provides better reconstruction of sparse signals than inverse wavelet transform. Since many natural images are not sparse, we propose to further improve CS decoding from the Bayesian point of view. Specifically, as wavelet transform can be described as convolution, we present an iterative deconvolution method for CS decoding in the case of partial wavelet coefficients. Experimental results demonstrate the efficiency of our method. We conclude that such findings indicate promising applications in compression.
The Development of Verisimilar Information Security Training Platform Based on Virtual Host

This paper clarifies the importance of developing an information security training platform and expounds the composition of knowledge system and platform architecture of the training system which aims to train students’ practical ability, design ability, communication skills and team cooperation ability. And finally it puts forward to a solution about real environment and virtual host of information security training platform which makes the teaching easier, the learning environment more relaxing and interesting and makes the teaching paperless in entire process.
Cost Coordination Mechanism of New and Remanufactured Products

For firms remanufacturing their products, the total life-cycle costs and revenues from new and remanufactured products determine their profitability. In many firms, manufacturing and remanufacturing operations are carried out in different divisions. Each division is responsible for only part of the product's life cycle. Practices regarding transfer pricing across divisions vary significantly among companies, affecting the life-cycle profit performance of the product. In this research, we investigate the consequences of different types of transfer pricing approaches. In a two-period model, we analyze the profitability of different transfer pricing approaches. We determine that a cost coordination mechanism that allocates a portion of the initial production cost to each of the two stages of the product life-cycle is the most effective. We conclude with managerial recommendations concerning cost management.
Microfluidic pumping based on dielectrophoresis for thermal management of microelectronics

Micropumps that can be directly integrated into microelectronic devices or microchannel heat sinks are of great interest due to performance, reliability, packaging and cost issues. One alternative is to generate the required flow directly in the microfluidic channels by inducing strong electromechanical forces in the fluid using integrated microelectrodes. In this work, a novel microfluidic pumping approach using traveling-wave dielectrophoresis (twDEP) of microparticles is presented. The dielectrophoretic motion of small particles arises when the suspended particles in a fluid medium are exposed to non-uniform electric fields causing interaction between the induced dipole on the particles and the fields. As the particles move, the surrounding fluid is dragged in the same direction due to viscous effects. The fluidic driving mechanisms due to the particle-fluid and particle-particle hydrodynamic interactions under twDEP are analyzed, and quantitative information on the induced flow field is obtained from numerical simulations. Experimental measurements of the flow velocity in a prototype DEP micropumping device using micro-particle image velocimetry show satisfactory agreement with the numerical predications. Results from this work indicate that the DEP-induced micropumping scheme holds promise for devising chip-integrated micropumping systems for thermal management.
AODVjr routing protocol with multiple feedback policy for ZigBee network

AODVjr(AODV junior) is a simplified specification of AODV(Ad hoc On-demand Distance Vector) routing protocol and suitable for ZigBee network. To enhance its routing strategy in a ZigBee network, in this paper, we proposed an AODVjr routing protocol with multiple feedback policy by means of processing main message during route discovery. The source node starts the route discovery, the destination node processes every Route Request (RREQ) and sends every Route Reply (RREP) as feedback information to the source node, and the source node processes multiple RREP messages for routing decision. The improved AODVjr changes the routing decision commander from destination to source and make a proactive routing decision on the basis of multiple feedback information. Through practical sensor platform, the improved AODVjr routing protocol demonstrates a better routing flexibility compared to original routing protocol so that high level routing strategy such as load balance can be implemented. We can verify that the AODVjr routing protocol with multiple feedback policy has larger flexible application in ZigBee-centered consumer electronics.
An improved method on Chinese character recognition

Genetic algorithm (GA) is an effective method to optimize system parameters. Chinese character recognition post-processing (CCRP) based on GA gets good result, but the better results are obtained after the method is improved. GA relies on the Chinese character itself and context information. In improved method, the parameters of single character recognition (SCR) model are conditional probabilities that can be converted into posterior probabilities by theoretic analysis. On the basis of SCR output analysis, posterior probabilities of candidates are obtained by statistical method. Experiment shows that post-processing performance depends on efficient evaluation of posterior probability, besides proper method. The character recognition average rate of the tested texts is from 96.93% to 97.98%, from 96.93% to 98.47% after improvement, and improves 0.49%.
Cache-enabled heterogeneous cellular networks: Comparison and tradeoffs

Caching popular contents at base stations (BSs) is a promising way to unleash the potential of cellular heterogeneous networks (HetNets), where backhaul has become a bottleneck. In this paper, we compare a cache-enabled HetNet where a tier of multi-antenna macro BSs is overlaid by a tier of helper nodes having caches but no backhaul with a conventional HetNet where the macro BSs tier is overlaid by a tier of pico BSs with limited-capacity backhaul. We resort stochastic geometry theory to derive the area spectral efficiencies (ASEs) of these two kinds of HetNets and obtain the closed-form expressions under a special case. We use numerical results to show that the helper density is only 1/4 of the pico BS density to achieve the same target ASE, and the helper density can be further reduced by increasing cache capacity. With given total cache capacity within an area, there exists an optimal helper node density that maximizes the ASE.