nils-herrmann/clean_scirepeval huggingface dataset:
A Platform of Mobile Agent Based on Distributed WEB Database

The issue of how to combine a distributed database based Web with the technology of mobile agent has attracted more and more attention. However there are some problems in the combination of the present existed platform of mobile agent and a Web database, especially in respect of security, conformity and interaction. So the structure and function of the present existed platform of mobile agent should be modified, then a platform of mobile agent possessed different function will be created and compose a new distributed platform of mobile agent. On this base the layer of application management should be introduced to intensify the conformity of the combination of a platform of mobile agent and an application of Web database, which could decrease the difficulty of developing a database application at the platform of mobile agent and the difficulty of such application. At the same time it could increase the performance of this kind of application
A security model of flow label based QoS mechanism in Evolved Packet System

The rapid development of Mobile Internet, especially the emergence and popularity of smart mobile terminals has been making data traffic increase dramatically. As the next generation mobile communication network, EPS(Evolved Packet System) is to commit to addressing the exist problems. Security problems are important to EPS core network since leaking user information will seriously impact the user experience. The existing flow label based QoS mechanism can solve problems of bearer ID based QoS mechanism in EPS core network. However, this mechanism also introduces some security problems with the combination of flow label and EPS. This paper focuses on the research of security of flow label based QoS mechanism and proposes a security model of the roaming and non-roaming scenarios in EPS core network. Moreover, according to the proposed security model, simulation has been done based on OpenIMSCore platform to validate the proposed security model, and the results show that the proposed scheme is able to solve the security problem.
Improving service coordination in municipal government with the Shared Data Manager

In this paper, we describe our work in the design and evaluation of a tool, the Shared Data Manager, to be used to enable automatic data sharing capabilities for municipal government applications. In an earlier study, we determined that municipal government employees rely heavily on manual methods for data sharing, which is time-consuming and error-prone. We describe in detail our findings from a two-week evaluation of the Shared Data Manager system with municipal employees. Overall, municipal employees found the tool to be useful for sharing data between departments and customizing data sharing access controls.
Spaceborne D-InSAR system: Conceptual overview

Spaceborne D-InSAR system is a kind of SAR satellite system aiming at differential interferometry application. It provides us a capability of measuring subtle deformation on the ground with phase difference. Different from existing satellite SAR missions, during the system conceptual design period, the primary objectives is improving the deformation measurement accuracy of the system. This paper is an overall conceptual description of the system, which paves the way for future research works. First of all, the system performance analysis is the key point as a theoretical foundation. The mathematical analysis model should have two typical characters. On one hand, various practical engineering errors in SAR satellite system need to be considered in mathematical modeling work. On the other hand, how to balance conventional 2/3-pass D-InSAR mode with time-series Persistent Scatterer D-InSAR mode is a big challenge. When we finish the model, experimental verification is also needed. Secondly, the satellite constellation configuration has to be designed to evaluate the system observation capability. Of course, we have to sort out the potential industry applications of the system in all kinds of modes that the system can achieve.
Research on Surface Modification of Polytetrafluoroethylene Coupled With Argon Dielectric Barrier Discharge Plasma Jet Characteristics

An argon dielectric barrier discharge (DBD) atmospheric-pressure plasma jet (APPJ) is designed and employed for surface modification of polytetrafluoroethylene (PTFE). The plasma diagnostics and dielectric surface analysis are coupled together to investigate the mechanisms of plasma modification. The discharge power is obtained by Lissajous figure, and electron excitation temperature (EET) is measured through an optical emission spectrum and calculated by a Boltzmann diagrammatic method. The surface properties of modified PTFE samples are characterized by the static contact angle, surface resistivity, scanning electron microscope (SEM), and X-ray photoelectron spectroscopy. The results show that the discharge power, EET, and surface wettability increase with the Ar flowing rate, and a slight decrease of surface resistivity is revealed after plasma treatment. The surface roughness of PTFE is enhanced, and the oxygen-containing hydrophilic groups are incorporated by the impacts of APPJ radical species. Moreover, the hydrophilicity of PTFE can be improved by a surface presanding process, particularly after APPJ treatment. Finally, the surface modification mechanisms of APPJ on PTFE are discussed.
Experimental study on the movement performance of elastic legs in the sand

Attracted by the fact that there are lots of demands for robots working in the amphibious environment, this paper proposes a novel, simple and efficient leg for amphibious robots. That leg is made of the elastic material. The leg could deform a curve-like one passively, forced by the resistance when moving on the ground. Moreover, the leg would recover straight, fin-like, promoting the robots swimming in the water. The deformation of the leg is realized passively without any auxiliary structure. In addition, with the characteristic of elasticity, the elastic leg may help the robot improve the movement performance. In this paper, an experiment platform is designed for the locomotion performance of the elastic legs in the sand terrain. With that platform, the movement parameters of the elastic legs could be obtained and analyzed. A series of experiments were performed. The results verify our assumption, which is meaningful for the robot moving though the amphibious environment. Besides, robot with those legs could also simplify its motion module and reduce the weight for more working load.
Layout-driven high level synthesis for FPGA based architectures

In this paper, we address the problem of layout-driven scheduling-binding as these steps have a direct relevance on the final performance of the design. The importance of effective and efficient accounting of layout effects is well-established in High-Level Synthesis (HLS), since it allows more efficient exploration of the design space and the generation of solutions with predictable metrics. This feature is highly desirable in order to avoid unnecessary iterations through the design process. By producing not only an RTL netlist but also an approximate physical topology of implementation at the chip level, we ensure that the solution will perform at the predicted metric once implemented, thus avoiding unnecessary delays in the design process.
Transmission-line modeling characterization for multi-wall carbon nanotube antenna radiation

This paper presents an equivalent single conductor (ESC) model for multi-wall carbon nanotubes (MWCNTs) using transmission line theory. Based on the model, for the first time, it gives the radiation properties of the symmetrical dipole antenna of MWCNTs. The results show that, for 1V excitation and 100 nm length, the resonant frequency of the antenna is in the terahertz band, and with the number of MWCNT shells increasing, the radiation resistance, the resonant frequency and the radiation efficiency increase accordingly at the same time. We can also find unique feature of that return loss of the antenna is fairly high and the radiation efficiency is fairly low compared with traditional antennas.
Time-frequency domain adaptive filters

A linear system representation called the double convolution model, which combines the impulse response and transfer function, is presented. It is based on Fourier transformation by block of the impulse response. Its main advantage is that the model order and the window size are not imposed by the response length. This property makes the adaptation of systems with long impulse response easier because it may be possible to use a moderate order and to avoid large processing delay. Simulation results are presented for an acoustic channel, the impulse response of which is measured in a reverberant room.<<ETX>>
Notice of RetractionNano Air Vehicle wing concepts design and experimental study of nano rotor hovering performance

Nano Air Vehicles (NAVs) were proposed as unmanned aerial robots to fulfill the missions in cluster environment. This study designs two types of wing concept as rotary wing and flapping wing for NAV based on the minimum energy loss theory and biologically inspired theory. The hovering performance of the two concepts is compared each other to demonstrate the concept superiority. And the experimental study of nano rotor hovering performance is carried out. A test bench with highly sensitive mechanism systems is designed in view of being able to measure the thrust and torque of nano-rotors simultaneously and response to the change of variables rapidly with sufficient accuracy. Then experimental and computational studies are performed with a micro brushless motor and a nano rotor. The results of concept design show that the flapping-wing concept is slightly more efficient than the rotary-wing concept base on the hovering power. The analysis of experimental and computational studies suggests that the motor efficiency and rotor efficiency degrade dramatically with the reduction of motor and rotor size.
A Novel Contour Extraction Approach Based on Q-Learning

Contour extraction is an important and challenging issue in image processing. The common contour extraction approaches are sensitive to the initial searching position and image noise, and the extracted contours are coarse. In this paper, we propose a novel contour extraction approach based on Q-learning. According to the grayscale gradient value and similarity in gray space, the Q-learning agent searches and pursues the optimal contour in a step-by-step manner. In order to accelerate the Q-learning speed, we suggest state-reduction and exploration restriction measures. From the experimental results, the novel contour extraction approach based on Q-learning is effective
An optimal measure choosing strategy to AUVs Cooperative Localization

Cooperative Localization(CL) is a crucial loop in navigation with multiple Autonomous Underwater Vehicles( AUVs). Measuring and communicating are essential for CL to improve the position performance, which two are still difficult challenges until now, due to the terrible underwater environment. To make the furthest use of the measurements, in this paper, an Optimal Measure Choosing Strategy(OMCS) is proposed based on the value function established in this paper. The object is that minimizing the measurement and communication of AUVs to reduce the consumption arising from the cooperative course, meanwhile, without loss of performance. Then, in order to weight the different importance relative to different costs, the importance factors are imposed into the consumption function to improve the OMCS. Finally, experimental simulations illustrate the advantages of the proposed algorithm.
Price discount of private equity placement and wealth effects comparison between controlling shareholders and institution investors

In this paper, we propose a new wealth tunneling model between larger controlling shareholders and institution investors, and then analyze the related relationship between price discount of private equity placement and wealth-transferring effects. Price discount ratio and wealth transferring effects of private equity placement are closely related with subscribing private placement objects. Firm wealth transferring effects owned by larger controlling shareholders and institution investors exhibit an increasing trend with an increase of price discount ratio of private placement and the difference between share-subscribing ratio after private placement and original share-holding ratio owned by controlling shareholders and institution investors. In the event of larger controlling shareholders and institution investors participation, Larger controlling shareholders and institution investors have greater incentive to transfer firm wealth through private equity placement with an increase of the degree of interest deviation among larger controlling shareholders, institution investors and minority shareholders outside.
Kinetic model of metabolic network for xiamenmycin biosynthetic optimisation

Xiamenmycins, a series of prenylated benzopyran compounds with anti‐fibrotic bioactivities, were isolated from a mangrove‐derived Streptomyces xiamenensis. To fulfil the requirements of pharmaceutical investigations, a high production of xiamenmycin is needed. In this study,, the authors present a kinetic metabolic model to evaluate fluxes in an engineered Streptomyces lividans with xiamenmycin‐oriented genetic modification based on generic enzymatic rate equations and stability constraints. Lyapunov function was used for a viability optimisation. From their kinetic model, the flux distributions for the engineered S. lividans fed on glucose and glycerol as carbon sources were calculated. They found that if the bacterium can utilise glucose simultaneously with glycerol, xiamenmycin production can be enhanced by 40% theoretically, while maintaining the same growth rate. Glycerol may increase the flux for phosphoenolpyruvate synthesis without interfering citric acid cycle. They therefore believe this study demonstrates a possible new direction for bioengineering of S. lividans.
Short-term traffic flow prediction using a methodology based on ARIMA and RBF-ANN

The accurate short-term traffic flow forecasting is fundamental to both theoretical and empirical aspects of intelligent transportation systems deployment. In order to play the ARIMA model with good linear fitting ability and artificial neural network model with strong nonlinear relation mapping ability, this study aimed to develop a simple and effective hybrid model for forecasting traffic volume that combines the AutoRegressive Integrated Moving Average (ARIMA) and the Radial Basis Function Artificial Neural Networks (RBF-ANN) models. By combining different models, different aspects of the underlying patterns of traffic flow could be captured. The ARIMA model was used to model the linear component of the traffic flow time series. Then the RBF-ANN model was applied to capture the nonlinear component by modelling the residuals from the ARIMA model. The hybrid models were fitted for five minutes time-aggregations. The validations of the proposed hybrid methodology were performed by using traffic data from Shinan Avenue in Nansha District, Guangzhou, China. The results indicated that the hybrid models had better predictive performance than utilizing only ARIMA model as well as RBF-ANN model. The combination method played the advantages of the two models is an effective method for short-term traffic flow forecasting.
Improving Visual Saliency Computing With Emotion Intensity

Saliency maps that integrate individual feature maps into a global measure of visual attention are widely used to estimate human gaze density. Most of the existing methods consider low-level visual features and locations of objects, and/or emphasize the spatial position with center prior. Recent psychology research suggests that emotions strongly influence human visual attention. In this paper, we explore the influence of emotional content on visual attention. On top of the traditional bottom-up saliency map generation, our saliency map is generated in cooperation with three emotion factors, i.e., general emotional content, facial expression intensity, and emotional object locations. Experiments, carried out on National University of Singapore Eye Fixation (a public eye tracking data set), demonstrate that incorporating emotion does improve the quality of visual saliency maps computed by bottom-up approaches for the gaze density estimation. Our method increases about 0.1 on an average of area under the curve of receiver operation characteristic curve, compared with the four baseline bottom-up approaches (Itti's, attention based on information maximization, saliency using natural, and graph-based vision saliency).
Adaptive profiling framework and system for service provisioning

Effectively profiling customer, merchant and service information is critical to today's e-commerce (electronic commerce) environment. The challenge is to build a flexible profiling system to dynamically collect relevant information about consumers according to diverse profiling requirements of different services, so that the services can get provisioned. We present a service hub based two-phase profiling framework equipped with two profiling methods namely Delegated Profiling and Punchout Profiling to address this challenge. Powered by D3Form (Data Driven Dynamic Form) technology, Delegated Profiling is able to cost-effectively collect consumers' information for services in addition to a common base profiling requirement by specifying service-specific delta. Punchout Profiling enables seamless integration between services' profiling systems and the hub by the Profiling Punchout Protocol.
Product Strength Properties Study of Waste Printed Circuit Board with Pyrolysis Process Approach

Pyrolysis process is advanced as a former-treatment for waste printed circuit broad (PCB). The results show that at above 500 pyrolysis was complete The mechanical properties of PCBs that are pyrolyzed. It is observed that at 600 ¡æ pyrolysis temperature the tensile strength and the punching strength of PCB is lower than those of original samples.
Data Fusion for Trip Prediction in Transit Information System

In the paper a transit information system for trip prediction is introduced. Several models, including ARIMA, neural network and data fusion, can be employed to forecast the number of passengers entering or leaving a station in a period in transit networks. The data fusion model combines two individual predictions from ARIMA and neural networks models. The objective of data fusion is to provide a better solution than could otherwise be achieved from the use of single-source data alone. Realistic transit networks in Guangzhou are selected as case studies in the development of the system.
Experimental study on morphology and kinematics of mudskipper in amphibious environments

Mudskippers exhibit the unusual feature of the fact that they not only can walk on land, but also uniquely adapt to intertidal habitats, their excellent amphibious performance inspire many researchers to develop amphibious biomimetic robots. In this paper, the morphological parameters of the mudskipper were measured Then, a simple and efficient high speed photography system was introduced to investigate the kinematics of live mudskipper. In order to explore the kinematics of the mudskipper in amphibious environment, gelatin was used as an analogue for mud on the basis of their similar mechanical properties. Then, the image sequence of the mudskipper in water, on gelatin and glass were concretely studied with the help of digital image process, respectively. The tracked body midline of the mudskipper in water and on gelatin are obtained, we demonstrate that the mudskipper uses both body and pectoral fins for locomotion in water and on gelatin simultaneously, while only uses pectoral fins for locomotion on land. The speed and the related angle of the mudskipper were also calculated, the speed in water is much faster than on gelatin. The displacement of the center of mass of the mudskipper on glass is also calculated. The performance of the mudskipper in different environments is very instructional and actual significance to mimic an amphibious robot.
Experimental study and DEM analysis on rigid driving wheel's performance for off-road vehicles moving on loose soil

An experimental and numerical investigation was carried out on the performance of a single-wheel travelling over various kinds of loose soil, including dry sand, wet sand, and mud. The experiments were conducted using a testbed equipped with a displacement transducer, a torque sensor, etc., to get the information on sinkage, driving torque, and drawbar pull. It was found that within certain water content, the trafficability of wet sand is better than that of the dry sand. On the other hand, the behaviour of a wheel when running over mud is very different comparing to the case of sand, for which the shear force tends to be negligible because of the near-flow property of the mud. It was also demonstrated that the cohesion of the mud can't be ignored since the mud will attach to the wheel so that the shear force is offered by the internal friction angle of mud rather than the friction between wheel and soil. In the numerical work, DEM (discrete element method) was used to simulate the interaction between wheel and sand, and the agreement with the experiments was fairly good.
Affective content detection in sitcom using subtitle and audio

From a personalized media point of view, many users favor a flexible tool to quickly browse the affective content in a video. Such affective content may cause audiences' strong reactions or special emotional experiences, such as anger, sadness, fear, joy and love. This paper attempts to extract affective content for digital videos by analyzing the subtitle files of DVD/DivX videos and utilize audio event to assist affective content detection. Firstly, videos are segmented by dialogue script partition. Compared to traditional video shot, video segmented by scripts is not affected by camera changes and shooting angles and easy to include video segments with compact content. Secondly, emotion-related vocabularies in video script are detected to locate affective video content. Using script to directly access video content avoids complex video analysis. Thirdly, audio event detection is utilized to assist affective content detection. Compared with traditional video semantic analysis, affective content analysis puts much more emphasis on the audience's reactions and emotions. Initial experiments are carried on sitcom videos because its simple video structure provides useful domain knowledge. The experimental results demonstrate that subtitle file analysis and audio event detection provides effective and efficient clues to determine the emotional content of the videos
Preliminary research of a novel soft robot with three locomotion modes

Many researchers have developed some soft robots which mimic the mollusks movements having power ability to interact with their environments, but these soft robots usually have only one locomotion mode, which cannot effectively take into account the movement efficiency and the environment adaptability simultaneously. This paper presents the design of a novel soft robot which has three locomotion modes; namely, rolling, Omega crawling and vermiculation. It can effectively give consideration to the high efficiency for the rolling, the strong obstacle climbing capability for the Omega crawling and the capacity passing through a narrow space for the vermiculation. By controlling the body deformation and the connection mechanism of the head and the tail separation, we can realize the three locomotion modes and their switching. Firstly, we present the principle of three locomotion modes and how to switch them, and then the detailed structure design of the soft robot is delivered. Secondly, the initial simulation and experiment for the rolling locomotion are fulfilled to verify the feasibility of the soft robot, as the rolling locomotion is most difficult to realize in three locomotion modes.