nils-herrmann/clean_scirepeval huggingface dataset:
The research on strategies of control-by-wire steering active safety control based on posture forecast

To suppress vehicle rollover and sideslip risk effectively, this paper adopts time AR model to forecast vehicle motion parameters. Based on the forecast parameters, control strategies are established to control the vehicle rollover through the process of control-by-wire steering controller and suppress the vehicle sideslip by means of inhibiting the increase of centroid cornering angle. The way of variable transmission ratio was adopted to prevent the emerge of Yawing moment which cause rollover and increase of centroid cornering angle so that vehicles could be placed out of the dangerous state, The simulation results show that the rollover and sideslip control doesn't affect vehicle's normal driving and also maintains its manipulation stability well. In addition, it can suppress the dangerous posture effectively when vehicles are in the state of rollover and sideslip so that it availably improves the vehicle's active safety performance.
Pricing Based Collaborative Multi-User Video Streamming Over Power Constrained Wireless Downlink

Video streaming is becoming an important application in wireless communications. In a typical scenario, a base station needs to serve multiple video users with a total transmitting power constraint. How to make appropriate video coding decisions and allocate limited transmitting power among users to achieve optimal total utility is an important problem. In this paper we develop a pricing based downlink power allocation scheme with collaborative video summarization among users. The scheme exploits the multi-user diversity in channel states and utility-resource tradeoff characteristics in video contents to achieve better resource utilization. The computational burden can be distributed among video sources and base station. Simulation results demonstrate the effectiveness of the proposed algorithm
Power control for CDMA data communication systems

A distributed power control strategy for CDMA data communication systems is proposed. The data rates of terminals are variable; all terminals adjust their transmitting power to maximize their net utility. A terminal increases its transmitting power to get a desired signal-to-interference ratio, and it pays for this action. Different pricing factors affect the system performance; effects on system performance due to an adaptive price function and a near-far fair price function are analyzed. Simulation results indicate that power control with a price function can improve a terminal's net utility and reduce transmitting power, which is better than power control without a price function.
A Novel Fuzzy Identity-Based Signature with Dynamic Threshold

The fuzzy identity-based signature allows a user with the private key for identity W to verify a signature signed by identity S if and only if W and S are within a certain distance judged by a threshold t. In previous fuzzy identity-based signature schemes, the threshold t is static and cannot be changed according to dynamic environment. This paper proposes a novel FISAT scheme(fuzzy identity-based signature with dynamic threshold), which is based on the bilinear maps and multi-sequence of Diffie-Hellman exponents assumption. The threshold in FISAT can be dynamically selected according to the importance of the message. Furthermore, FISAT only uses constant keys and ciphertext, which improves transmission performance.
The research of electrophysiological data normalization

The identical physiological signal, which is measured by different sources, can not compare directly. In order to process the data further and analysis the impact of uncertainty, a method of electrophysiological data normalization is proposed. In this paper, Mahalanobis scaling method is applied to electrophysiological data normalization in order to reduce the differences between different instruments, random differences. The method extracts the constant parameters and seeks the common relationship of signal as far as possible. In the paper, the measured ECG experiment verifies the efficiency of the proposed method.
Vehicle scheduling problem of hazardous materials based on risk

Vehicle scheduling Optimization of Hazardous materials is one of effective means to prevent accidents and reduce the loss of lives and property. This paper studies the vehicle scheduling problem of Hazardous materials based on the transportation risks which vary with time, taking into account the cost constraints and allowing for waiting at the nodes of the network, that is, our problem is a risk-based constrained path-selection one together with the determination of the departure and waiting times at each node on the selected path in the time-dependent networks. After a mixed integer programming model is proposed, a novel heuristic algorithm is designed. The computational complexity of the algorithm is also analyzed. Finally, a numerical example is presented to show its validity and feasibility of this algorithm.
Fast Dissolution Nanofiber Membrane of Ferulic Acid Prepared Using Electrospinning

Fast dissolution nanofiber membranes were prepared using electrospinning process with Ferulic Acid (FA)--a traditional Chinese medicine as the active pharmaceutical ingredients and a pharmaceutical hydrophilic polymer--polyvinylpyrrolidone K30 as the filament-forming matrix. Field Emission Scanning Electronic Microscopy (FE-SEM), Differential Scanning Calorimetry (DSC), Attenuated Total Reflection Fourier-transform infrared spectra (ATR-FTIR) and in vitro dissolving tests were carried out to characterize the nanofiber membranes. The FE-SEM observations informed that the nanofiber membranes had a uniform structure and smooth surface with a diameter range of 600~800 nm. No any spinning spindles or phase separated drug particles could be discriminated. The results from DSC and ATR-FTIR indicated that the drug had good compatibility with the polymer, the drug was well distributed in the nanofiber membranes as an amorphous physical status through the hydrogen bonding between the C=O group of PVP and -OH group of FA. The in vitro dissolution tests showed that the nanofiber membranes dissolved very quickly, leading to the improving dissolution profiles of the loaded FA. The electrospun nanofiber membranes prepared from pharmaceutical hydrophilic polymers are able to provide novel strategy for ehnancing the dissolution rate of poorly water-soluble traditional Chinese medicine.
Research on machining simulation of turn-milling center based on DVR

In this paper, a simulation system for turn-milling center is designed by VRML and Java/JavaScript based on Distributed Virtual Reality (DVR). The system overcomes the disadvantages of traditional expensive CAD/CAM software and reduces the volume of the machine document which is convenient for transmission through the web. The system includes movement demonstration and machining simulation by inputting NC code. Customers can interact with the system by the control panel to have a deep understanding of the products. The system includes several characteristics: free installation, low-cost, high availability and good portability.
Availability analysis of next generation CBTC data communication systems

Communication-based train control (CBTC) systems are automated train control systems using wireless communications. Data communication is extremely important in CBTC systems. Train ground communication system which includes too many interfaces between various subsystems and excessive ground equipment is used as traditional CBTC data communication system. In next generation CBTC systems, train-to-train communication is adopted with the advantages of higher-speed, larger-capacity per unit time and the briefer structure in comparison with traditional CBTC system. Although train-to-train communication based CBTC systems has been implemented in urban rail systems. The system availability has not been studied before. In this paper, deterministic and stochastic Petri nets(DSPN) is used for the CBTC system to characterize its normal operation probability. Several typical data communication scenarios are depicted and simulated with DSPN. The impact of different scenario parameters on CBTC system operation is discussed. The availability of the next generation CBTC system is compared with the traditional CBTC system as well.
The application of Empirical Mode Decomposition and Gene Expression Programming to short-term load forecasting

A forecasting method of combining Empirical Mode Decomposition(EMD) and Gene Expression Programming(GEP) that's called EMD&GEP method here is suggested, which is applied to short-term load forecasting and higher forecasting precision is obtained. The load samples are handled in order to eliminate the pseudo-data, and the intrinsic mode functions(IMFs) and the residual trend of different frequency are obtained according to EMD. Then the corresponding load series of the same time but different days in the IMFs and the residual trend are chosen as the training samples, and by means of the flexible expressive capacity of GEP, the models of different time points in each IMF and the residual trend are evolved according to time-sharing. And the final forecasting result is obtained by reconstructing the models of each IMF and the residual trend. The method of EMD overcomes the shortcomings of wavelet transform that it's difficult to select proper wavelet function, and the final result indicates that the IMFs can reflect the characteristics of the power load. After comparison with the results forecasted by means of Wavelet and GEP, it proves that the effect of the forecasting method of EMD&GEP in short-term load forecasting is better.
Structure design and kinematic analysis of dual arm robot

The paper proposed dual arm robot carried by the rescue robot according to complex environment of disaster relief and actual work requirements. Based on D-H method, this paper established kinematic models of the two arms, calculates pose of the point at the end of the arm and obtains the inverse solution of the mechanical arms. Then prototype of the dual mechanical arms was obtained and imported into ADAMS, in this way, working region of the virtual prototype of the mechanical arms was solved and analyzed. And the mechanical arms are used to simulate actual work to get the movement curve. The simulation proved correctness of the established kinematic model and reasonableness of the design structure. matlab software and Monte Carlo method can be used to generate the workspace nephogram and collaboration space of the dual mechanical arms. The result of simulation showed that the mechanical arms had the conditions to be flexible when it worked, which laid a solid foundation for later trajectory planning and control of the two arms. This is the paper style requirement for the Chinese Control and Decision Conference. The writers of papers should and must provide normalized electronic documents in order for readers to search and read papers conveniently.
Joint carrier recovery and blind decision feedback equalizer over fast time-varying channels

This paper proposes a joint carrier recovery and blind decision feedback equalizer (DFE) based on Stop-and-Go-MCMA and decision-direct least-mean-square (SG-MCMA-DD-LMS) algorithm. The equalizer initially operates in modified constant modulus algorithm (MCMA) mode under Stop-and-Go principle to compensate the channel distortion and acquire phase offset. When the channel eye is opened equalizer switches to decision-direct least-mean-square (DD-LMS) mode to decrease the Mean Square Error (MSE) further and carrier recovery begins to work at the same time. Simulations show that the proposed scheme could achieve distorted channel equalization and larger carrier acquisition in fast time-varying channels.
A curvature-compensation technique based on the difference of Si and SiGe junction voltages for bandgap voltage circuits

This paper presents a novel curvature-compensation technique for bandgap reference circuits implemented in Silicon-Germanium (SiGe) BiCMOS technology. The technique utilizes the designer's access to both Si-based and SiGe-based p-n junctions. Temperature compensation is achieved in two steps: first, by weighted subtraction of two Complementary to Absolute Temperature (CTAT) currents, one proportional to the base-emitter junction of a Si BJT, and the other proportional to that of SiGe HBTs, the non-linear temperature dependent terms are compensated; and second, by adding a Proportional to Absolute Temperature (PTAT) current, the remaining linear temperature dependent terms are canceled. As a result, an almost complete temperature compensation is achieved. Based on this concept, a circuit is designed and simulated in IBM's SiGe BiCMOS 8HP technology. With a power supply of 2.5 V, simulation results show that the circuit generates an output voltage of 978.5 mV with a temperature coefficient (TC) of 1.0 ppm/°C over the temperature range of -25 °C to 125 °C.
Reducing the Computation of the linear complexity of upv -periodic sequences

We present a fast algorithm that reduced the computation of the linear complexity of the up<sup>v</sup> -periodic <sup>1</sup> sequence under gcd (u, p) = 1 to the computation of maximum of some linear complexities of p<sup>v</sup> -periodic sequences over F<inf>p</inf>. After combining with the Berlekamp-Massy algorithm or generalized Games-Chan algorithm, we could efficiently compute the linear complexity of p<sup>v</sup> -periodic sequence. Thus we present an efficient and attractive algorithm for calculating the linear complexity of up<sup>v</sup> -periodic sequences.
Shape-space based negative selection algorithm and its application on power transformer fault diagnosis

Dissolved gas analysis is an effective and important method for power transformer fault diagnosis. The negative selection algorithm has much advantage for some faults which lack a great deal of training sample data in the power transformer faults. It can examine the abnormality of the infinite categories by using fewer detectors, covering with wide space. However, the existing negative selection algorithm also exists some shortages. For these shortages, this paper researches a shape-space based negative selection algorithm, which uses the shape-space model in the mathematics theory, mapped the data of detector, self space and non-self space to the n dimension space, using the calculation of affinity to carry out matching. Experiments show that the method can make use of few fault data (i.e. antigen) to obtain the mature training set, so it is suitable for the small sample fault diagnosis of which the failure data is difficult to get.
The Study of realization method for the sliding spotlight mode in SAR

In the paper, the different characteristics between the spotlight mode and the sliding spotlight mode of spaceborne SAR are discussed. The system index, especially, antenna azimuth steering angle etc of sliding spotlight mode are studied. The realization method of the mode is presented, At the same time, the Doppler de-ambiguity, the requirement of azimuth steering angle, and the dwell time of azimuth point targets, and the position of rotation center are analyzed. The simulating results provided these analysis are rationality, and could be applied to the high resolution SAR system design.
An object-oriented software design for distributed videoconferencing system

A layered model based on objects for a distributed videoconferencing system is developed. The object orientation of various components consisting of the system and the semantic relations among multimedia are specified also. In this model, the object orientation decomposes the multimedia data streams into a set of objects on I/O level, processing level and network transport level, with different objects handled in parallel. So, it is easier to implement the model by using a "dataflow programming" style. Features of this model are analyzed and techniques used in system implementation are presented in brief.
Joint security and QoS provisioning in cooperative vehicular ad hoc networks

In vehicular ad hoc networks (VANETs), security always comes with a price in terms of QoS performance degradation. In this paper, we take an integrated approach of optimizing both security and QoS parameters, and study the tradeoffs between them in VANETs. Specifically, we use recent advances in cooperative communication to enhance the QoS performance of VANETs. In addition, we present a prevention-based security technique that provides both hop-by-hop and end-to-end authentication and integrity protection. We derive the closed-form effective secure throughput considering both security and QoS provisioning in VANETs with cooperative communications. The system is formulated as a partially observable Markov decision process (POMDP). Simulation results are presented to show that our proposed scheme can substantially improve the effective secure throughput of VANETs with cooperative communications.
JVEC: Joint Video Adaptation and Erasure Code for Wireless Video Streaming Broadcast

Advances in wireless access technologies like WiMax and LTE are driving the wireless video applications and wireless broadcasting video service in particular. Though existing erasure codes are designed to achieve high throughput for wireless broadcast/multicast, their potential for wireless video broadcasting can only be achieved if the distortions associated with video packets and their complex decoding dependency are also considered. In this paper, we propose a Joint Video Adaptation and Erasure Code(JVEC) for wireless video broadcast, taking into consideration the video decoding dependency among temporal scalable decoding dependency among I, P and B frames, and formulate a solution to minimize the average video distortion. Assuming that the source knows the erasure state of transmitted packets at the receiver side through the feedback channel, JVEC can generate erasure codes on the fly to firstly guarantee the decoding of important frames and secondly correct erased frames as many as possible. The simulation result shows that JVEC can achieve less video distortion compared with other erasure codes, such as LT code, RT oblivious code and SLT code.
Improved matter-element model based on cloud model and its application in power transformers fault diagnosis

Because matter-element theory's shortcoming in ignoring the uncertainty of boundary values when setting up a fault diagnosis model, the diagnosing results are deviated from the actual situation. Considering cloud model theory can be applied to represent the uncertainty of the boundary, we combine cloud model theory with matter-element to propose a new diagnosing model. Meanwhile, by using data such as the concentration of dissolved gases, gas production rate and the ratio between gases in oil, the proposed diagnosing model is tested. Compared with other techniques for transformer diagnosing with case analysis, the new proposed model has a higher diagnosing precision.
Studies of Scotopic/Photopic Ratios for Color-Tunable White Light-Emitting Diodes

Three- and four-hump InGaN-based white light-emitting diodes (LEDs) have been computationally investigated. The investigation includes three-hump LEDs precoated with green- and red-emitting quantum dots (QDs) and four-hump LEDs precoated with green-, yellow-, and red-emitting QDs. Results show scotopic/photopic (S/P) ratios 3.80 and color rendering indices (CRIs) ≥ 70 for three-hump LEDs and S/P ratios 3.90 and CRIs ≥ 70 for four-hump LEDs under a correlated color temperature (CCT) of 45 000 K. Furthermore, for both three- and four-hump LEDs under the condition of CCT 5000 K, optimal results in this paper exhibit capabilities of exceeding S/P = 2.50 and simultaneously satisfying the criterion of CRI ≥ 70. Our simulation procedure is conducted under variations of nine CCTs, several wavelengths, and peak heights. Optimized results of S/P ratios and CRIs are identified and retained through filtering off a great number of unqualified candidates. Finally, present findings may help improve the quality of eye visions pertaining to LED illumination and help reduce the electrical energy consumption related to LED usage.
Complicated product oriented collaborative document management system

The researchers and developers of DM system always ignore the fact that the development of complicated product is composed of several phases, each of which has its own management demands to documents. In this paper, we present a collaborative DM (document management) system to manage heterogeneous, distributed data of complicated products in the large size enterprises. A concept of library was introduced as the basic logic unit for storage and management of document data in accordance with phase. The difference of operations permitted in each library promised distinct management demands of specific phase. Typically, a product was divided into three libraries: a design library, a controlled library and a product library. Automatic document transfer between libraries was implemented in the charge of workflow. According to the concept of library, there could be one-to-one correspondence between each product and an independent database. In addition, each library operated with an individual, distributed file server for high throughput.
Cross Layer Design in MIMO-Enabled Communication-Based Train Control Systems

Communication-Based Train Control (CBTC) is an automated control system for railways using data communications. CBTC systems have stringent communication latency requirements. However, in rail transit systems, frequent train handoffs can cause severe communication latency. In this paper, we propose a handoff scheme in CBTC systems based on WLANs with multiple-input and multiple-output (MIMO) technologies to improve the handoff latency performance. Particularly, we consider channel estimation errors and the tradeoff between MIMO multiplexing gain and diversity gain in making handoff decisions. The handoff problem is formulated as a partially observable Markov decision process (POMDP), and the optimal handoff policy can be derived to minimize the handoff latency. Simulations results based on real field channel measurements are presented to show the effectiveness of the proposed scheme.
Context-based Personalized Moblie Tourist Guide

Most tourists today expect a friendly tour guidance and services considering their individual preferences and actual situation while protecting their privacy. The ideal is an intelligent guide taking care of the whole organization and execution in time. This is the main objective of the context-based Personalized Mobile Tourist Guide (PMTG). Tourist's profiles or visiting background is stored in a user model. This paper develops a user model based on information retrieval techniques to rank tourists preferences of POIs. The tour computation is solved using a guided local search metaheuristic which is fast and can produce solutions dynamically meeting the real-time requirements. By integrating various sources like GIS and existing databases or webs, the PMTG is a mobile agent that selects attractions, plans an individual tour, provides navigational guidance and offers context-based service in any possible way with the help of a mobile device. Furthermore, it protects the tourist privacy.