nils-herrmann/clean_scirepeval huggingface dataset:
G-Tree: An Efficient and Scalable Index for Spatial Search on Road Networks

In the recent decades, we have witnessed the rapidly growing popularity of location-based systems. Three types of location-based queries on road networks, single-pair shortest path query, k nearest neighbor (kNN) query, and keyword-based kNN query, are widely used in location-based systems. Inspired by R-tree, we propose a height-balanced and scalable index, namely G-tree, to efficiently support these queries. The space complexity of G-tree is O(|V|log|V|) where |V| is the number of vertices in the road network. Unlike previous works that support these queries separately, G-tree supports all these queries within one framework. The basis for this framework is an assembly-based method to calculate the shortest-path distances between two vertices. Based on the assembly-based method, efficient search algorithms to answer kNN queries and keyword-based kNN queries are developed. Experiment results show G-tree's theoretical and practical superiority over existing methods.
Scene-adaptive Moving Detection with Machine Learning Based on Clustering

Moving detection is a hot research area. Order to detect flexible and improve the detection accuracy, we propose a scene-adaptive moving detection model with machine learning based on clustering. The model uses a group of testing images to train the camera firstly, which means we can get out accurate parameters for one scene. We design a detection algorithm that used in training process based on clustering. Then it uses the parameters and detection algorithm to detect the changes in monitor scene. The experience shows our model has a high adaptability and accuracy.
Generation of 0.19-mJ THz pulses in LiNbO 3 driven by 800-nm femtosecond laser

We proposed a cylindrical lens telescope tilted pulse front pumping scheme for high energy terahertz pulse generation. The optimum pump laser spectral bandwidth and crystal cooling temperature for OR in LN crystal were researched systematically. Excitated by 800-nm laser, more than 0.19 mJ energy and 0.27% efficiency terahertz pulses generation was demonstrated with the optimum bandwidth pumping and 150 K cooling temperature for the first time.
Road recognition in high resolution SAR image based on genetic algorithm

Road recognition from SAR image is a very important problem. In this paper, a new method is proposed which can detect multiple roads in an image. Firstly binary edge image is gained by Canny operator and edge refining. Secondly, edge curves are encoded by reversible chained list, and fitness function is constructed based on SAR image road models, and optimal road boundary curves are linked by improved genetic algorithm. Thirdly, complete road boundaries are detected by curve fitting. At last, mated long road edge curves are found out and road surface are stuffed. The experiment shows that this algorithm can realize roads recognition and eliminate influence of other non-road.
Modeling Ontology of Folksonomy with Latent Semantics of Tags

Modeling ontology of folksonomy provides a way of learning light weight ontology’s which is a hot topic investigated recently. Previous approaches for modeling ontology of folksonomy either ignores semantics (synonymy, hyponymy or polysemy) or do not simultaneously consider relationships between actors (users), concepts (tags) and instances(resources) or are based on the idea that title words are responsible for generating tags for resources. Latent semantics and user-tag dependencies instead of user-word dependencies however are extremely important. In this paper we address these problems by introducing a latent topic layer into the traditional tripartite Actor-Concept-Instance graph. We thus propose an Actor-Concept-Instance-Topic (ACIT) approach to model ontology from folksonomy in a unified way by directly using tags and users of resources. We illustrate on Bibsonomy dataset that our proposed approach ACIT outperforms title words based approaches Tag-Topic (TT) and (User-Word-Topic) UWT for modeling the ontology of folksonomy.
Research on special low-speed, high-torque permanent magnet synchronous motor for screw pump

With the requirement of energy conservation and environmental protection, current induction motor (IM) with gear box for screw pump is unqualified. This paper investigates a special low-speed, high-torque permanent magnet synchronous motor (PMSM) to directly drive the screw pump without gear box. Design constraints are surveyed for the special PMSM, both from the motor's structure and performance. To reduce cogging torque, analytical analysis is done first. Then, a method is proposed that is combination of fractional-slot winding and optimized pole-arc coefficient based on the cogging torque's analytical expression. Computed aided design (CAD) is adopted for PMSM designing. The magnetic field and load performance are analyzed with the finite element method (FEA). The PMSM with a rating of 1000Nm and 125rmp is designed, manufactured and compared with induction motor to verify the proposed method.
Research on Uncertain Knowledge Representation and Processing in the Expert System

Uncertain knowledge representation and processing is a hot issue the expert system has been always studying. Based on the elaboration on the structure and category of the expert system, this paper describes eight methods for uncertain knowledge representation and processing, including deterministic theory, subjective Bayesian approach, fuzzy theory, evidence theory, grey system theory, concept maps, rough set theory, and set pair analysis, and looks forward to the future research direction of uncertain knowledge representation and processing.
Study on No-Insulation HTS Pancake Coils With Iron Core for Superconducting DC Induction Heaters

This paper focuses on no-insulation (NI) HTS pancake coils with iron core for superconducting dc induction heaters. A superconducting coil without turn-to-turn insulation and its conventional counterpart with insulation are wound with YBCO-coated tapes. An iron core is built for a laboratory-scale dc induction heater. The electromagnetic characteristics of the two coils with the iron core are studied focusing on the charging and sudden-discharging processes at 77 K. Three variables are measured, i.e., current, terminal voltage, and magnetic field induced. The results show that NI coil with the iron core incurs a significant delay in the charging and discharging process due to the influence of the iron core. A terminal voltage pulse is observed at the beginning of the sudden-discharging process, which is more than five times of its normal value. A circuit-field coupled method is proposed to analyze the electromagnetic characteristics of the NI coil with an iron core. The results from experiment and simulation exhibits good agreement. The research shows that it is possible to use the NI technique to build a HTS iron core magnet for a dc induction heater, which can simplify the quench protection system.
Interactive SQL query suggestion: Making databases user-friendly

SQL is a classical and powerful tool for querying relational databases. However, it is rather hard for inexperienced users to pose SQL queries, as they are required to be proficient in SQL syntax and have a thorough understanding of the underlying schema. To give users gratification, we propose SQLSUGG, an effective and user-friendly keyword-based method to help various users formulate SQL queries. SQLSUGG suggests SQL queries as users type in keywords, and can save users' typing efforts and help users avoid tedious SQL debugging. To achieve high suggestion effectiveness, we propose queryable templates to model the structures of SQL queries. We propose a template ranking model to suggest templates relevant to query keywords. We generate SQL queries from each suggested template based on the degree of matchings between keywords and attributes. For efficiency, we propose a progressive algorithm to compute top-k templates, and devise an efficient method to generate SQL queries from templates. We have implemented our methods on two real data sets, and the experimental results show that our method achieves high effectiveness and efficiency.
Preparation and Characterization of Ultrafine Eudragit L100 fibers via Electrospinning

In the present study, Eudragit L100 was successfully spun into ultrafine fibers using electrospinning process. The electrospinnability of Eudragit L100 in DMAc, ethanol, methanol, and the mixed solvents of DMAc and methanol with different ratios were examined. The morphologies of the as-spun Eudragit L100 fiber mats were observed using SEM. The results demonstrated that Eudragit L100 was able to be electrospun into ultrafine fibers when the solvents were ethanol, methanol, or mixed solvents of DMAc and methanol with ratios of 80:20, 60:40, 50:50 and 40:60. The fiber mats electrospun from 25% (w/v) Eudragit L100 in a mixed solvents of DMAc and methanol with a ratio of 80:20 had the best morphology. The results obtained here are very useful for preparing ultrafine medicated Eudragit L100 fibers and the corresponding colon-targeted or sustained-release drug delivery systems.
Evaluation of coded structured light methods using ground truth

Until now, the lack of the ground truth has prevented such direct comparisons of coded structured light algorithms. In this paper, an evaluation framework is proposed to compare different kinds of methods. First the ground truth is obtained by the robust space-time analysis. Then our evaluation methodology is introduced to describe the algorithm's performance. Two indices, the accuracy and recall are defined for each method. Finally, quantitative and qualitative comparisons are conducted in our experiments. Four well known coding methods are evaluated using three benchmark datasets. The results show the multi-shot shape acquisition methods have better performances than one-shot shape acquisition methods. When different decoding algorithms are adopted for the same coding method, the accuracies and recalls are changed. This evaluation framework can help to make the quantitative comparison of algorithms and prompt the further advance in algorithm performance.
Research and design of GPU-based network video stream decoding and playing system

We propose a network video stream decoding and playing system based on a programmable graphics processor unit. To resolve the problem that processing of YUV image is hard and converting YUV to RGB is slow when playing and analyzing the H.264 video, the shader programming were used. The parallel processing speed of GPU is a million times as much of a CPU. With a GPU, YUV image could convert a RGB image in real-time, play the video of single/split screen and fulfill subsequent processing.
Storage Appliance System Based on Content Addressable Storage

It is difficult for enterprise to build CAS (Content Addressable Storage) appliance system because the most of CAS systems only provide API interface, to design and implement a new kind of CAS storage system is proposed in this paper. CAS interface based on http is suggested, which will turn the operation of file objects into the WEB semantic operation of URI resources, so that the management and operation of file objects can perform through a WEB browser. The file object is described by the metadata model, and CAS client is established with the help of WEB server and database server, so a storage appliance system with powerful capabilities for content navigation and search can be constructed. It is easy to integrate Storage appliance system with enterprise application. The CAS appliance system is extensible; the test results show that aggregate throughput of CAS appliance client will increase greatly with number of CAS server.
The Empirical Analysis on Shanghai Service Industry Foreign Direct Investment's Effect on Industrial Structure

In recent years, foreign direct investment focus from manufacturing to service industry.This article has tested the Cointegration and Granger causality between the growth of FDI in Shanghai's service industry and the optimization of Shanghai's industrial structure.And the result shows that there is long-term relationship between them and the growth of FDI in Shanghai's service industry can promote the upgrading in Shanghai's industrial structure,but the optimization of Shanghai's industiral structure doesn't cause the growth of FDI in Shanghai's service industry. Based on the results,the article also gives some suggestions on how to utilize FDI efficiently.
A prediction model for dissolved gas in transformer oil based on improved verhulst grey theory

Power transformer is one of the most expensive component of electrical power plants and the failures of such transformer can result in serious power system issues, so fault forecasting for power transformer is very important to insure the whole power system runs normally. In this paper, a new improved non-equal-gap verhulst grey prediction model for dissolved gases in power transformer was developed. The proposed approach has been verified by the non-equal-gap fault dissolved gas analysis data of a power transformer in Shenhai electric factory, and the experimental results show the proposed model has obvious advantages and has comparatively higher prediction accuracy than the traditional grey prediction model.
Analytical calculation of PMSG optimization for compact ER-EVs application

This paper deals with a permanent magnet synchronous generator (PMSG) used for integrated starter generator (ISG) in an urban compact extended-ranger electric vehicles (ER-EVs). Based on the special characteristics of ER-EVs, defined the power demanded of extended-ranger and discussed the design requirement and specification of generator. According to the given requirement of design, an optimizing routine is developed using simplified analytical calculation for finding optimal design of PMSG. The analytical calculation results are validated by FE simulation and proto type test.
Low delay streaming of DASH content with WebRTC data channel

Instantaneous low delay on-demand video streaming with a very low start up and channel switching delay is highly desirable for users. The dominant over-the-top (OTT) solutions like DASH, which is based on HTTP and/or WebSocket, suffer from a slow start of the underlying TCP transport while the typical coding structure of the DASH content introduces additional delays. In this work, we address these issues with a new low delay transport based on a WebRTC data channel along with a new content side packetization scheme based on a new QoE metric driven DASH sub-representation to facilitate a fast start, with an agile and fine granular rate adaptation. Simulations on both NS-3 and the GENI testbed demonstrate the effectiveness of this approach. This can serve as a basis for a further peer assisted low delay over-the-top (OTT) solution for an instantaneous live video streaming solution.
Improvements on Remote Diffuser-Phosphor-Packaged Light-Emitting Diode Systems

By modifying traditional remote phosphor-diffuser-packaged light-emitting diode systems, we have managed to increase the luminous efficacy from 145.7 to 162.3 lm/W. One mechanism responsible for this achievement is associated with randomizing the directions of light beams transmitting through an interior diffuser, whose position is optimized based on an overall merit. The other mechanism is identified as the gradual attenuation of the undesirable blue-ring image along the distance from the diffuser toward the phosphor base. The identification of these two mechanisms is verified by luminous efficacy measurements, 3-D image plots, and combined Monte Carlo algorithm ray tracing simulation results. In addition, merits related to correlated color temperatures and issues pertaining to costs are briefly discussed.
Joint scalable video and digital fountain coding for heterogeneous QoS video broadcasting

Serving broadcasting video to heterogeneous mobile devices with different display size and channel conditions has many valuable applications and technical challenges. In this work, we present a cross-layer, multi-time scale approach solution to this problem. At the outer loop of control, a physical layer diversity-embedded space-time coding scheme is employed to maximize the total effective data rates among mobiles. New spatial-temporal adaptation scheme and metrics are developed to enhance the elasticity and robustness of the broadcasting video, then a joint layered video and digital fountain coding optimization is performed at the inner loop to deliver the best possible QoE among the heterogeneous receivers. Simulation results demonstrated the benefits and effectiveness of the proposed solutions.
High frequency link single-phase grid-connected PV inverter

In this paper, a two-stage high frequency link single-phase grid-connected inverter is proposed for photovoltaic (PV) generation system to improve energy conversion efficiency and reduce the weight and bulk of the overall system. To achieve high quality output sinusoidal current, a Proportional-Integral-Resonant (PIR) controller is applied to the PV inverter. Moreover, a dynamic compensator is proposed to help the PIR controller to overcome the output voltage fluctuation of PV panel under time-varying environment conditions. Simulation results are provided to testify the validity and feasibility of the proposed scheme.
An Inversion-Based Fusion Method for Inland Water Remote Monitoring

Although remote sensing technology has been widely used to monitor inland water bodies, the lack of suitable data with high spatial and spectral resolutions has seriously obstructed the practical development of inland water color remote sensing. An inversion-based fusion (IBF) algorithm is proposed to fuse water color and high-spatial resolution images. The algorithm was applied to two datasets: The Hyperion simulated dataset (dataset #1) and a pair of Environmental Satellite 1 (HJ1, launched by China in 2009) and medium resolution imaging spectrometer images (dataset #2). The fusions are quantitatively and qualitatively compared with three widely used algorithms. The results show that the IBF algorithm performs better using both evaluation indexes and visual comparisons. A discussion of the free parameter window size n and the contribution of the low-resolution image (LRI) to the spatial distribution (WLRI) shows that a largern will result in both greater model errors and better control of geometric errors, whereas WLRI helps stabilize the algorithm. Finally, chlorophyll-a concentration maps are developed from the fusions. The significant advantage of the IBF-derived chlorophyll-a concentration map indicates that the IBF algorithm has the potential to advance the monitoring of optical complex inland water.
Component-based constructing approach for application specific embedded operating systems

Rapid advances in the real-time embedded operating systems necessitate the development of Internet oriented application specific embedded operating systems. The ASOS (application specific embedded operating systems) has now become a promising research direction of the embedded operating system. The paper clarifies the concept of the ASOS, and takes the embedded operating system applied in the traffic signal controller we are now developing to illustrate the main characteristics of the ASOS. Benefits from the CBSE (component-based software engineering) include system quality improvement, shorter time to market, integration of complex systems, etc. However, as for the embedded system, the component-based technology and theories still in an exploration period, though many projects are carried on. In this paper, we present the process of our approach to construct the ASOS based on the component technology.
A novel handoff decision algorithm in TD-LTE based train-ground communication system

Communication Based Train Control (CBTC) system is a kind of advanced train automatic control system that integrates radio communication and automation control technology. Handoff happens frequently in CBTC train ground communication system, which may result in communication interrupt and long latency. In this paper, we propose a new handoff decision algorithm based on improved Grey Verhulst model for the Time Division-Long Term Evolution (TD-LTE) based train-ground communication system. The proposed handoff decision algorithm can be used under free space and leaky coaxial cable equipped environment. Improved Grey Verhulst model is used to predict the Reference Signal Receiving Power (RSRP) values from two Radio Remote Units (RRU). Compared with traditional Verhulst model, improved Grey Verhulst model can optimize parameters to eliminate the inherent errors in data sequence prediction. The handoff decision action is performed based on the predicted RSRP values. Simulation results show that the proposed handoff decision algorithm can decrease ping-pong handoff and improve the handoff delay compared with the traditional A3 event based scheme in LTE systems.
Analysis and modeling of open-circuit airgap field distributions in multi-segment and multilayer interior permanent magnet machines

This paper presents the lumped magnetic circuit models for interior permanent magnet (IPM) machines with multi-segment and multilayer permanent magnets. The open-circuit air gap field distribution, average air gap flux density and leakage fluxes are derived analytically. The FEA is adopted to verify the developed models and analytical method. It shows that for the prototype machines, the errors between the FEA and analytically predicted results are <1% for multi-segment IPM machines and <2% for multilayer IPM machines.
MOS tunneling strain sensor using an AC measurement technique

The increasing requirement for low power sensors is motivating research on new techniques. MOS tunneling sensors consume only nW of power, compared to typical piezoresistive and capacitive sensors which consumes μW to mW. The strain was measured by measuring the tunneling current through a Metal-Oxide-Semiconductor sandwich from a DC voltage. To overcome the electronic noise, substantial averaging was utilized. In this paper an improved method of measuring the strain from the tunneling current is demonstrated in which an AC signal is utilized, and the AC current is measured. This approach substantially reduces the noise by avoiding the 1/f noise. The optimal conditions for the AC technique are to use a high frequency to avoid 1/f noise and a low DC bias.
The research of Vietnamese language news clue extraction method based on converged network semantic knowledge

Lexical chain of continuity caused by semantic relations between words which provides clues about news structure and theme. On the basis of solving the problem of ambiguity resolution semantic knowledge fusion network use of lexical chain, combined with the feature of word frequency, location and agglomeration and a series features of Vietnamese news event to, build the lexical chain. By using semantic similarity for ambiguity resolution and eventually constitutes a lexical chain of the news events clue information.
Topological Patterns of Spatial Urban Street Networks

In this paper we analyze the structural properties of four urban street networks in China based on GIS and complex networks theory. We consider the street networks as spatial networks and use the primal approach to turn the GIS data into graph. The urban street networks display similar topological patterns and deviate from random networks and central planned networks, despite the apparent differences in terms of historical, economic and geographic characters. Multiple centrality measures are introduced and used in the network vulnerability analysis. We show that urban street networks are vulnerable to selected attack but robust to random attack. Degree and betweeness measures are very useful in important nodes identification and crisis prevention.