nils-herrmann/clean_scirepeval huggingface dataset:
Research on Data Security of the Storage Network

The storage network (unified storage network, for short USN) by combining a NAS and a SAN has the both advantages of NAS and SAN. Because the USN needs to serve the block I/O requests and the file I/O requests simultaneously, data security is a very difficult to achieve. In order to improve the security for the USN, this paper introduces a solution in two aspects. Firstly, the MUVFS (the multi-user view file system) is presented, which offers a storage volume view for each authorized user, who can only access the data in his own storage volume. Secondly, all users can encrypt and decrypt the data of the themselves storage volume at clients, and the USN server only need to check the users' identities and the data's integrality. Through integration of the MUVFS and security scheme into the USN, the data security mechanism has been realized perfectly with little influence on the system performance. As shown in the experiments, the security mechanism of the USN provides reasonable compromises between the data security and performance
Multi-stage Dynamic Coordination Model for Large-Scale Crowd's Activities Based on Multi-agent

In order to reduce the phenomena of long time queuing and congestion in large-scale crowds’ activities, improve the visitors’ satisfaction and increase social welfare, a multi-stage dynamic coordination model for large scale crowds’ activities based on multi-agent is proposed and a coordination algorithm PCI is designed. Three types of basic coordination algorithms are tested by computer simulation, and the simulation results are used to discuss the basic characteristics of the problem. The results indicate that coordination algorithm PCI can reduce the congestion significantly and ensure better social welfare while meeting the real-time requirement.
The new type of composite board water turbine sealing ring

Carbon/carbon composite materials has superior performance in underwater corrosion resistance, high temperature resistance and high abrasion resistance that promises to be a new applied materials in the water turbine seal ring. But in turbine abnormal vibrations occur during operation, resulting in carbon/carbon composite material fracture. In this paper, four kinds of adhesive materials consisting composite board was used to be a new type of sealing ring structure. The impact-resistance had more than double than the original structure of two-layer. Meanwhile, 60% of the cost was reduced.
The relationship between energy consumption and economic structure in China

This paper investigates the influence on energy consumption by economic structure in China using panel cointegration and Granger causal test with panel vector error correction (VEC) model. The panel cointegration test reveals the long equilibrium relationship between energy consumption and economic structure in China. The Granger causal test with panel VEC model reveals the unidirectional causality from economic structure to energy consumption and the bidirectional causality between energy consumption and economic growth in the short and long run. The influence on energy consumption by economic growth is greater in the short run and the influence by economic structure is greater in the long run. Thus when the “energy saving and emission reduction” are in work in China, more attention should be paid to the measures involving the economic structure adjustment. The measures include decreasing the proportion of the high energy consumption industries and supporting the development of the service industries. Thus the target of “energy saving and emission reduction” will be achieved without influencing the economic growth.
Strength and stability of a meniscus in a slider-disk interface

The behaviour of a meniscus in a slider-disk interface is analyzed in three cases. In a quasi-steady state, normal force due to the meniscus pressure and surface tension are compared. Bimodal distribution of the fly/stiction is explained by the availability of a wick. In the absence of slider-disk movement, the tendency of meniscus growth is studied. A constant volume is sustainable only in a concave gap. In the onset of slider-disk motion, the change in stiction is analyzed. A meniscus is more resilient against a steady force than against a short pulse.
Complete Extended Independent Set Collision Immune Algorithm for Wireless Channel Assignment

Single channel is a severe capacity bottleneck in wireless mesh networks (WMNs). Multiple channels enhance the wireless network capacity by simultaneous transmissions and decrease the interference among nodes. Due to the scarcity of non-overlapped channels, the way of assigning channels becomes extremely important for throughput optimization in WMNs. This article presents a channel assignment algorithm, which divides WMNs into separate multiple collision domains by setting up a complete extended independent set, maximizing the number of interference independent nodes; then assigns channels on collision immune model, minimizing the co-channel collisions in overall network. This algorithm provides more impartiality in channel assignment than in dynamic algorithms. Simulated experiments illustrate that the algorithm is more efficient.
Data Mining on Imbalanced Data Sets

The majority of machine learning algorithms previously designed usually assume that their training sets are well-balanced, and implicitly assume that all misclassification errors cost equally. But data in real-world is usually imbalanced. The class imbalance problem is pervasive and ubiquitous, causing trouble to a large segment of the data mining community. The tradition machine learning algorithms have bad performance when they learn from imbalanced data sets. Thus, machine learning on imbalanced data sets becomes an urgent problem. The importance of imbalanced data sets and their broad application domains in data mining are introduced, and then methods to deal with the class imbalance problem are discussed and their effectiveness are compared. Last but not least, the existing evaluation measures of class imbalance problem are systematically analyzed.
The empirical analysis on the relationship between foreign direct investment and China's service industry growth efficiency

In recent years, foreign direct investment focus from manufacturing to service industry. China's total service sector has also been rapid growth, however, its output efficiency is still at a low level. This paper has tested the Cointegration and Granger causality between China's FDI and services output efficiency. And the result shows that there is no clear causal relationship between both of them. The paper also analyzes the reasons why both of them have no Granger causal relationship and gives some suggestions on how to utilize FDI efficiently.
Dynamics simulation for flexible parallel robot

In this paper the slender rods of the parallel robot is considered to be flexible bodies for solving the dynamics of parallel robot more accurately, but it is very complex to build the mathematic multibody model, we put forward a method to easily resolve it by software. First, the Lagrange equation and modal synthesis method for flexible body are given, and then the cooperative simulation method using ADAMS and ANSYS is presents for solving flexible multibody dynamics of flexible robots, and the concrete steps also are introduced. At last we take a kind of 3-TPT parallel robot as an example to carry out dynamic simulation using the method, and compared simulation results of rigid bodies with ones of flexible bodies. All the results show that: the forces applied on flexible bodies appear high nonlinear, which is more close to the truth, so the simulation results of flexible multibody system are more authentic and can reflect actual dynamic characteristic of parallel robot.
Comparison of Off-Line and On-Line Solid Phase Extraction and High Performance Liquid Chromatographic Analysis of Polycyclic Aromatic Hydrocarbons (PAHs) in Water

Methods of the off-line and on-line solid phase extraction (SPE) combined with liquid chromatographic (LC) analysis were compared in respects of separation effect, breakthrough volume, precision and detection limits for polycyclic aromatic hydrocarbons (PAHs). Results showed that the on-line mode is slightly preferred than the off-line one except for the early eluting compounds, naphthalene and biphenyl, due to the overshadowing of the matrix. Measurement of PAHs was performed for surface water with both off-line and on-line systems. Comparison results have shown that four polycyclic aromatic hydrocarbons: naphthalene, fluorene, phenanthrene and anthracene were detected in the surface water and both the techniques fit linear regression mode for fluorene, phenanthrene and anthracene at trace levels. With removal of the matrix interference, such as humic acids and fulvic acids, the precision of on-line system for naphthalene could be improved.
Data Mining Techniques for Materials Informatics: Datasets Preparing and Applications

The goal of this paper is to discuss how data mining can be applied in materials informatics by using materials data. Firstly, general background and some critical concepts in materials informatics were summarized. Secondly, based on data warehouse techniques, we proposed a novel data integration solution among homogeneous materials databases. Lastly, we reviewed some recent works in the area of data mining in materials informatics, and discussed some of their representative applications and related methods. From discussed above, we provides a useful reference for researchers who are new to apply data mining in materials informatics. This preliminary study suggests that data mining techniques may contribute to the investigation of materials informatics.
Smooth Streaming With MPEG-DASH Using SDN-Based Application-Aware Networking

Dynamic adaptive streaming over HTTP (DASH) establishes a simple architecture and enables new video applications to fully utilize the existing physical IP network infrastructure fully. However, given the limitation of a traditional TCP/IP network for supporting video transmission, existing streaming algorithms can easily lead to a suboptimal streaming experience. In this work, we propose a DASH application-aware network (AAN) architecture that can increase the users’ quality of experience by optimizing DASH traffic. This paper contributes insights on the design of such an AAN network. Our evaluation results demonstrate that our proposed AAN framework can provide a smooth streaming experience for users regarding lowering the DASH segment bitrate switchover frequency by 260%, and increasing the download bitrate by 36% via an adaptive path selection with SDN.
Grassmann Hashing for approximate nearest neighbor search in high dimensional space

Locality-Sensitive Hashing (LSH) approximates nearest neighbors in high dimensions by projecting original data into low-dimensional subspaces. The basic idea is to hash data samples to ensure that the probability of collision is much higher for samples that are close to each other than for those that are far apart. However, by applying k random hashing functions on original data, LSH fails to find the most discriminant hashing-subspaces, so the nearest neighbor approximation is inefficient. To alleviate this problem, we propose the Grassmann Hashing (GRASH) for approximate nearest neighbor search in high dimensions. GRASH first introduces a set of subspace candidates from Linear Discriminant Analysis (LDA). Then it applies Grassmann metric to select the optimal subspaces for hashing. Finally, it generates hashing codes based on non-uniform bucket size design motivated by Lloyd-Max quantization. The proposed GRASH model enjoys a number of merits: 1) GRASH introduces the Grassmann metric to measure the similarity between different hashing subspaces, so the hashing function can better capture the data diversity; 2) GRASH obtains the subspace candidates from LDA, so it incorporates the discriminant information into the hashing functions; 3) GRASH extends LSH's 1-d hashing subspaces to m-d, i.e. it is a multidimensional extension of hashing approximation; 4) motivated by Lloyd-Max quantization, GRASH applies non-uniform size bucket to generate hashing codes, so the distortion can be minimized. Experimental results on a number of datasets confirm the validity of our proposed model.
Efficiency Droop Improvement in InGaN/GaN Light-Emitting Diodes by Graded-Composition Multiple Quantum Wells

InGaN/GaN light-emitting diodes (LEDs) with a graded-composition multiple quantum well (GQW) were designed not only to investigate the effect of polarization field on the efficiency droop in InGaN/GaN multiple quantum wells (MQWs) but to find out possible solutions to prevent or reduce the efficiency droop in GaN-based LEDs as well. Pulsed electroluminescence measurement, to avoid heating effects partly, revealed that the output intensity peak occurs at ~280A/cm2 current density for the GQW structure, whereas for a conventional structure, it occurs at a much lower current density of ~150A/cm2. The relative quantum efficiency indicates that the efficiency droop in GQW LEDs was reduced effectively due to the reduction in polarization field in the active layer. In the test GQW structure with inverse indium composition variation direction, electrons escape from the active region, which is in company with rapid saturation of output power and decrease in efficiency observed at high current density. It indicates that at high current density, the electron leakage is obvious. These results suggest that the polarization field in the active layer and the consequent electron leakage are probably the main mechanism responsible for the efficiency droop at high current injection levels.
WebME-Web mining environment

WebME is a Web mining environment (system) developed by Tsinghua University. It integrates many functions including: customization-based gathering, rough and subtle filtering, storing, indexing, recognizing, schema and data extracting, classifying, clustering and summarizing of Web pages, intelligent search engine, Web navigation, recommendation of Web information based on association of concept etc. We aim to utilize it as an experimental platform of Web mining on which we can design, implement, test and evaluate various algorithms of Web mining. In the paper, its architecture, main function and running environment are described.
Experiment Study on Magnetic Field Homogeneity of the Persistent Current Mode Helmholtz Coils Made of HTS-Coated Conductors

High-temperature superconducting (HTS) magnet made out of coated conductors (CCs) is considered as a possible alternative for conventional LTS magnet used in MRI and nuclear magnetic resonance (NMR) because of the high critical temperature and excellent performance under strong field. However, due to the difficulty of fabricating the superconducting joints of CCs, the HTS magnet made of CCs cannot yet operate in persistent current mode (PCM). In this study, a new type of PCM coils made of CCs, called double-slit coil, is developed to fabricate a pair of Helmholtz coils with an inner diameter of 50 mm. The angle deflection of the magnetic field trapped by the double-slit coil can be reduced due to its symmetric structure on the z-axis and therefore improve the field homogeneity. Both of z-axial and y-axial components of magnetic field distribution along the z-axis is measured at 77 K by a motor-driven hall probe with an automatic data acquisition system. The result shows that the double-slit Helmholtz coils perform similarly to circular coils on the z -axial component and the y-axial harmonic component can be reduced to less than 0.2% of the total trapped magnetic field. Finally, a conceptual structure of HTS shielding coils applied in MRI/NMR.
Neural Networks Based Test Cases Selection Strategy for GUI Testing*

The purpose of graphical user interfaces (GUI) testing is to diagnose and expose faults in planning time. It is difficult because the input space of GUI is extremely large due to different permutations of inputs and events. To test GUI needs to run a lot of test cases. Neural networks (NN) were explored to reduce test cases to expose new faults. The main idea is as follows. Firstly, NN was trained by subset of test cases that had executed and their test results. Trained NN could recognize fault patterns that had been exposed. Secondly, from the test suite that hadn't been executed, trained NN was used to select test cases that don't belong to the fault patterns. The test cases selected were more likely to expose new faults in GUI. By the method new faults could be exposed by executing fewer test cases. The experimental results show that the strategy is effective
User Demand Behavior Based Adaptive Algorithm for Service Composition of Streaming Media

Service composition is a technique to recompose various heterogeneous network services for a new business. A modern streaming media system may run multiple businesses. Their resources can easily be improperly distributed and under utilized. This paper studies service composition in the context of streaming media applications. A three-layer model is adopted to describe the system. The optimal service composition is formulated as a constraint optimization problem. By applying linear programming to the proposed cost function, a user demand behavior based adaptive algorithm (UDBA) for service composition is presented. The simulation results show that our UDBA algorithm improves the performance of the streaming media system.
Influence of radar systems electromagnetic compatibility on radar range

In order to analyze the influence of radar systems electromagnetic compatibility (EMC) on radar range better, first of all, the radar receiving performance under interference from neighbouring radar is analyzed, then the radar range equation under interference is deduced. Finally, as the example of two radars which are electromagnetic incompatibility on the same platform, the radar range is discussed based on above radar range equation. Simulation results indicate that increasing the range between radars, decreasing radar sidelobe gain and decreasing interference power can increase the radar range and achieve better radar EMC.
Path-Sensitive Reachability Analysis of Web Service Interfaces (Short Paper)

WCFA (Web service interface control flow automata) is enhanced by allowing pre/post-conditions for certain Web service invocations to be declared. The formal definition of WCFA is given. Global behaviors of web service compositions (described by a set of WCFA) are captured by ARG (abstract reachability graph), in which each control point is equipped with a state formula and a call stack. The algorithm for constructing ARG uses a path-sensitive analysis to compute the state formulas. Pre/post-conditions are verified during the construction, where unreachable states are detected and pruned. Assertions can be made at nodes of ARG to express both safety properties and call stack inspection properties. Then a SAT solver is used to check whether the assertions are logical consequences of the state formulas(or/and call stacks).
MikiWiki: A meta-design framework for collaboration

The Hive-Mind Space (HMS) model has been proposed to support distributed multidisciplinary design teams' collaboration and to tackle co-evolution of systems and users. The evolving design problems that cannot be predicted at design time require systems that have enough flexibility and tailorability to cope with emergent unexpected requirements. This paper presents MikiWiki, a prototype and meta-design framework developed to test the feasibility of the HMS model and to evaluate it. Habitable environments and boundary objects notions, being core elements of the HMS, are explicitly supported by MikiWiki on top of a programmable wiki modelled around meta-design principles. MikiWiki provides a common collaboration context and provides opportunities for design communities to build domain-oriented environments. Tailorable environments and pages provide users with the opportunity to autonomously evolve their tools and practices, while being aware of activities of others.
Route Guidance Mechanism with Centralized Information Control in Large-scale Crowd's Activities

In this research, our aim is to increase the efficiency of individual visitors and the whole system by reducing traffic congestion in large-scale crowd’s activities. To achieve the goal, a route guidance mechanism with centralized information control (CIC) is proposed by granting priority to visitors using CIC. Through multi-agent simulation, we confirmed that the CIC mechanism was effective in improving the traffic efficiency of visitors and could avoid the phenomena of social dilemma in large-scale crowd’s activities at the same time.
Mobile robot navigation based on improved CA-CMAC and Q-learning in dynamic environment

An algorithm based on Credit Assigned Cerebellar Model Articulation Controller(CA-CMAC) fitting Q-learning and improved by a learning parameter of adaptive adjusting balance, is proposed in this paper, which is applied for solving the mobile robot navigation problem in complex environment. Compared to the traditional navigation algorithm, this algorithm avoids local minimum problem, and has a better adaptability and real-time policy-making ability. The local approximation characteristic of the cerebellum model is used to overcome the problem of conventional universal neural network, such as BP, which results in slow convergence speed of neural network or cannot converge. Furthermore, the convergence speed of this algorithm is further accelerated due to introduction of the adaptive adjustment balance parameter. Simulation results indicate that the proposed algorithm improves the algorithm performance, at the same time, whether it is a path, in the simple static obstacles environment or in the complex dynamic obstacles environment, can be successful planned by mobile robot.
Research of container transport process reengineering - a case study of Minsheng auto parts logistics

The current market competition between enterprises in essence has been transformed into the competition between supply chain and supply chain. In the face of increasingly open international and domestic markets, Chinese automobile manufacturers must pay attention to the logistics cost control. Transportation cost and warehousing cost are two major cost in the logistic cost. Whether Chinese automobile enterprises can effectively control the cost of transportation and warehousing costs will be the key to the future survival and development. This paper mainly studies the cost control problems of container transportation in the Changan Ford automobile parts inbound logistics supply chain. Using PERT network analysis of the existing process cost,and the optimization is carried out. Finally the control effect and the degree of optimization of the container transportation process reengineering is discussed.
Self-crosslinked Fluorinated Acrylic Copolymer with Improved Stability

Researchers for fluorinated acrylic copolymer latexes have long been puzzled by the relatively poor stability which due to the tremendous polarity difference between the fluorine-containing and the fluorine-free acrylic monomers. A self-cross linked fluorinated acrylic copolymer with improved stability was synthesized from methyl methacrylate (MMA), butyl acrylate (BA), diethylene glycol diacrylate (DEGDA, cross linker) together with functional monomers, methacrylic acid (MAA), 2-hydroxy ethyl methacrylate (HEMA) and hexafluorobutyl methacrylate (HFMA) via seed emulsion polymerization. The structure of the copolymer was characterized by FT-IR. Thermal behaviour of the resulting copolymer was investigated by DSC and TGA. The analysis results indicated that both the polymerization stability and the fluorinated co polymeric latex stability were improved when a fluorinated nonionic surfactant was added during the polymerization process. Only one glass transition temperature (Tg) was observed for the fluorinated copolymer.