nils-herrmann/clean_scirepeval huggingface dataset:
Compact quasi-elliptic filter using mixed EM coupling λ/4 stepped-impedance resonators

A compact third-order bandpass filter with quasi-elliptic function response is synthesized with λ/4 stepped-impedance resonators (SIRs). The filter has enhanced transition response since two transmission zeros are generated on both sides of the passband. Existence of these two transmission zeros is investigated by the mixed electric and magnetic (EM) coupling. Strong and controllable electric and magnetic couplings are realizing by the open-end and short-end coupling sections, respectively. This property leads to creation transmission zero very close to passband. Simulation and measurement results show good performances of the proposed filter such as low insertion loss, high rejection level and compact size.
Research of a Real-time Hand Tracking Algorithm

Gesture analysis is an important region in HCI (human computer interaction) technology and hand tracking is a key step of gesture analysis. A modified CAMSHIFT (continuously adaptive mean shift) algorithm, which can track hand in real time, is presented in this paper. Considering the hand motion and skin color probability distribution all together, the modified algorithm, which enhances anti-noise ability, avoids distracters and deals well with shelter problem, is put forward. Tracking precision is improved. Experiment results show this algorithm is fast, accurate, and robust. It can be used in other region tracking special color
Geometric Calibration of IR Camera Using Trinocular Vision

A three-dimensional (3-D) thermogram can provide spatial information; however, it is rarely applied because it lacks an accurate method in obtaining the intrinsic and extrinsic parameters of an infrared (IR) camera. Conventional methods cannot be used for such calibration because an IR camera cannot capture visible calibration patterns. Therefore, in the current study, a trinocular vision system composed of two visible cameras and an IR camera is constructed and a calibration board with miniature bulbs is designed. The two visible cameras compose a binocular vision system that obtains 3-D information from the miniature bulbs while the IR camera captures the calibration board to obtain the two dimensional subpixel coordinates of miniature bulbs. The corresponding algorithm is proposed to calibrate the IR camera based on the gathered information. Experimental results show that the proposed calibration can accurately obtain the intrinsic and extrinsic parameters of the IR camera, and meet the requirements of its application.
Smooth test for uniformity on the surface of a unit sphere

In this paper, we suggest the smooth test procedures for testing uniformity on the surface of a unit sphere against the embedding alternatives based on spherical harmonics. The limiting distribution of the test statistic under null hypothesis is obtained, the order of the alternatives is suggested. The analysis of the usual classes of distribution shows that the embedding alternatives represents a sufficiently broad class of distribution on the surface of a unit sphere. Furthermore the smooth test is suitable for detecting arbitrary alternatives being approximated by the embedding alternatives.
Attitude plus angular rate rapid transfer alignment

Transfer alignment is applied for the alignment of strapdown inertial navigation system (SINS) on moving base conventionally, and ‘velocity’ is often utilized as the observation message of the transfer alignment filter, but the leaver arm error will induced simultaneously, which can't be compensated accurately. An improved rapid transfer alignment algorithm called ‘attitude plus angular rate’ matching is presented in this paper, which is based on the rapid transfer alignment model introduced by the American scientist Kain, while the ‘velocity’ measurement is replaced by ‘angular rate’, avoid the compensation of the leaver arm error. The widely used Kalman filter has been chosen to estimate the misalignment of the SINS. A simulation system has been investigated to test the ‘attitude plus angular rate’ matching transfer alignment algorithm, compared with the ‘velocity plus attitude’ matching algorithm, results show that the method presented here can achieve the accuracy better than 1 mrad in 10 second, without leaver arm error compensation.
Thin film thermal conductivity metrology using photoluminescence of quantum dots

Studying thin film thermal conduction is important in the development of many heat related sensors, actuators and microsystems. Emerging non-contact metrologies of membrane thermal conductivity show several advantages when devices are scaling down or novel materials are utilized. In this paper, a method to evaluate membrane thermal conductivity is presented using quantum dots as temperature markers. As an example, the thermal conductivity of 290nm-thick crystalline silicon thin film is measured as 106±10W/(m·K). Compared to conventional methods, the features of this method, like fine spatial resolution and non-contact temperature probe, bring the measurement robustness against ambient disturbance and the reduction on measurement system error. Furthermore, this metrology is eligible for thin films of other materials.
Dummy Based Privacy Preservation in Continuous Querying Road Network Services

Dummies are useful for improving success rate because they can be always available, however, using dummies have two main challenges. The first is how to generate a dummy that is indistinguishable from a real user especially on road networks which have varied movement trends. Secondly, dummies can be used to launch attacks on the location based server by malicious clients which affects the business of the service providers. In this paper, we propose a novel client orientated privacy preserving scheme for continuously querying road network service that is also capable of protecting location based servers from attacks. We employed an offline trajectory clustering algorithm that clustered users' trajectory and used the derived parameters to generate a cost effective reusable realistic dummies on road network. To overcome malicious clients using dummies to launch attacks on location based servers, we developed a privacy preserving verification protocol capable of checking the activities of all clients in privacy preserving manner to curb such attacks. We tested the efficiency of our algorithm with some defined evaluation metrics, and it provided an effective privacy protection, satisfied clients at all times within an excellent processing time at a reasonable dummy processing cost when continuously querying road network services.
Motor Imagery EEG Classification Based on Dynamic ICA Mixing Matrix

Recently the mu rhythm by motor imagination has been used as a reliable EEG pattern for brain-computer interface (BCI) system. To motor-imagery-based BCI, feature extraction and classification are two critical stages. This paper explores a dynamic ICA base on sliding window Infomax algorithm to analyze motor imagery EEG. The method can get a dynamic mixing matrix with the new data inputting, which is unlike the static mixing matrix in traditional ICA algorithm. And by using the feature patterns based on total energy of dynamic mixing matrix coefficients in a certain time window, the classification accuracy without training can be achieved beyond 85% for BCI competition 2003 data set &#8546;. The results demonstrate that the method can be used for the extraction and classification of motor imagery EEG. In the present study, it suggests that the proposed algorithm may provide a valuable alternative to study motor imagery EEG for BCI applications.
Reliability Evaluation in Substations Considering Operating Conditions and Failure Modes

A novel algorithm considering the operation conditions and failure types is proposed to evaluate the substation reliability. As some devices' outage probabilities vary with their operation conditions, such as preventive maintenance measures and external weather and internal aging conditions, a time-varying failure-rate model is presented first. In order to deduce the failure events of the system, including passive failures, active failures, breaker stuck conditions, and overlapping failures, a substation zone graph is created, and with the minimal cutsets from the zone graph to complete the failure events, the bus scheme reliability calculation model is proposed. Applying the model and algorithm to evaluate some substation systems, the results show that the operating conditions and failure types have a great impact on system reliability.
Partner selection of Chinese firms' in cross-boarder M&A: Perspectives from complementary assets and global value chain

Choosing a target firm in M&A is always challenging, since it greatly affects post-acquiring performance. This paper analyzes three overseas M & A cases presented firms positioned in upstream, midstream and downstream sections of global value chain, the result showed each company have different focus while selecting target firms: technology-based enterprises which positioned in upstream of global value chain often emphasize on technology capability of the target company; firms in the midstream intend to expand to both ends of global value chain: technology and brand extension; occupied in downstream of global value chain often focus on marketing, capabilities and brand influence.
Global convergence of the newton fixed-point homotopy method for MOS transistor circuits

In circuit simulation, it is of great importance to compute DC operating points of nonlinear circuits. However, the Newton-Raphson method employed in some SPICE-like simulators often fails to obtain a solution. To solve the non-convergence problem, homotopy methods receive abundant attention and have been studied from various standpoints. As to homotopy methods, the convergence property is fundamentally important. However, the global convergence theorems and conditions of homotopy methods for MOS transistor circuits are still open problems. This paper presents the Newton fixed-point homotopy method (NFPH) for MOS transistor circuits and proves detailedly how to satisfy the uniqueness condition and the boundary free condition. Moreover, it is also proved that the MOS Newton fixed-point homotopy method is quite possible to converges to a stable operating point from any initial solution.
Least-squares auto-correlation wavelet kernel method for regression estimation

Based on the auto-correlation wavelet kernel, a novel notion of least squares support vector machine (LS-SVM) with universal auto-correlation wavelet kernels is proposed for approximating arbitrary nonlinear functions. The translation invariant property of the auto-correlation wavelet kernel function enhances the generalization ability of the LS-SVM method and some experimental results are included to demonstrate the efficiency and validity of the proposed method.
Novel ferroelectrics-based micro-acoustic devices and their ultrasonic applications

Novel ferroelectric thin film based micro-acoustic devices have been designed and fabricated using silicon based micro-machining process. These devices have excellent performance, miniature size and high reliability, and could be compatible with conventional integrated circuit process. And more important, they can be both used as microphone and microspeaker. The micro-acoustic devices could find wide and novel application in practical ultrasonic systems.
Numerical analysis of uniaxial strain ratcheting of conductive adhesives

Under the condition of uniaxial strain(Amplitude is ±0.025%), the elastic-plastic finite element method was used to analyze the bonding of conductive/copper wire. The result shows that the plastic strain of X and Y direction is mainly occurred at two positions: one is at the left arc side; the other is at the right arc side of the Department. The maximum value of the von Mises equivalent stress occurs near the point outside the left arc as the strain cycle process. The peak value of von Mises equivalent stress in epoxy adhesive was higher than that in the ASA acrylon adhesive (91.1MPa to 59.5MPa). However, because the former has a higher yield strength, and therefore conductive epoxy adhesive failure is not easy
Technology introduction in China's industrial cluster: a case study

Introducing external technology is becoming a prevalent approach to gain competitive advantage in developing economies. In this paper we develop a framework to analyze the characteristics of industrial clusters that influence on the choice of technology introduction mode and apply this to the cases in Zhejiang Province, East China. The results indicate that previous researches over simplify the situation of technology introduction in different clusters. In traditional industrial clusters current technology transfer is dominated by hardware transplantation due to technological capability reasons, while cooperative production and research are adopted as the primary modes in high-tech industrial clusters at growth phase. The research also reveals that different modes of introduction exert different influence on the upgrading of technological capability and market performance of firms in these clusters.
Modeling and algorithm to mission reliability allocation of spaceflight TT&C system based on radial basis function neural network

To study mission reliability allocation of the tracking, telemetry and command (TT&C) system, which is difficult to describe with a precise mathematical model and time-consumed to compute, a radial basis function neural network (RBFNN) modeling method with adaptive hybrid learning algorithm (AHL) is proposed. Principal component analysis (PCA) is used to determine the initial number of hidden units. Advanced gradient learning algorithm (AGL) to compute gradient information of network parameters is improved to accelerate convergence. Finally, realization details are provided, and simulation results show the effectiveness of the proposed method.
Possibilistic Fuzzy c-Means Clustering Model Using Kernel Methods

A fuzzy clustering method is presented based on kernel methods. The proposed model is called kernel possibilistic fuzzy c-means model (KPFCM). It is claimed that KPFCM is an extension of possibilistic fuzzy c-means model (PFCM) which is superior to fuzzy c-means (FCM) model. Different from PFCM and FCM which are based on Euclidean distance, the proposed model is based on non-Euclidean distance by using kernel methods. Furthermore, with kernel methods the input data can be mapped implicitly into a high-dimensional feature space where the nonlinear pattern now appears linear. KPFCM can deal with noises or outliers better than PFCM. The proposed model is interesting and provides good solution. The experimental results show better performance of KPFCM
Research on UML-Based Green Alignment Selection Decision Making Model

In accordance with the characteristics of green alignment selection and problems existing in the current intelligent alignment selection design, this paper integrates the advantages of Unified Modeling Language (UML) in the software engineering and, then proposes comprehensive solution based on decision making model of UML green alignment selection. Furthermore, this paper elucidates ideas of each decision making model and each object-oriented view, represents the complex system, via the manifest and simple visual graphs, from different perspective, and finally enables developer and decision maker to acquire clear understanding of it. In addition, this paper completes the requirements analysis, modular decomposition, object model construction and relevance analysis between objects with the application of UML-based green alignment selection decision making model.
Design and Operation of Dual/Triple-Band Asymmetric M-Shaped Microstrip Patch Antennas

Novel designs for compact dual/triple-band microstrip antennas are proposed with an asymmetric M-shaped patch. The designs utilize vias on the longer arm of the patch for the purposes of compactness and separating of the operational bands. As the two resonant frequencies of antenna 1 are related to certain parts of the patch, one resonant frequency can be flexibly tuned with little effect on the other. A prototype of antenna 1 operating at 2.44 and 5.77 GHz is fabricated and measured. It has a low profile of 0.016 λr1, where λr1 is the wavelength of the first resonant frequency fr1 = 2.44 GHz at free space, and a compact patch size of 0.195 λr1 × 0.177 λr1. The antenna also presents low cross polarization and symmetrical patterns in both E- and H-planes. Finally, a triple-band antenna (antenna 2) with enhanced bandwidth is designed.
Effective classification image space which can solve small sample size problem

Linear discriminant analysis (LDA) is one of the most popular methods in feature extraction and dimension reduction. However, in many real applications, particularly in image recognition applications such as face recognition, conventional LDA algorithm will often encounter small sample size problem. In this paper, an effective classification image space is defined and optimal features are extracted from this space. With the proposed method, an effective classification image space of each original image is first obtained. Then, optimal features are extracted from this space. The small sample size problem is solved effectively with the proposed method. Experimental results on XM2VTS face database demonstrate the effectiveness of the proposed method
Static Human Gesture grading based on Kinect

We presented a static human gesture grading system based on the skeletal tracking module of Kinect sensor. We captured the 2-D skeleton wireframe of a poser's body and represented the data as limb vectors. The distance metric is defined as the included angle array computed between the real-time and the standard gesture. We proposed a grading formula to simulate the gesture judging scenario, of which the parameters can be adaptively computed or manually set. The system worked efficiently under the low computational complexity and was robust to input noise.
An Improved Security Method for Mobile Agent System by Using Trusted Computing Platform

The security problem of mobile agent is important for applications using mobile agent technology. In this paper, we analyzed the security problems of mobile agent system exposed in opening environment and proposed a method to improve the authentication and credentials management in mobile agent environment. In our design, the trusted computing platform is used as the basic platform to running mobile agent systems, and the trusted platform module will used to help the authentication and credentials management. We also gave a model system for building trusted mobile agent system. In this system, the security of mobile agent is improved by using trusted computing platform which is linked with upper layer applications through the trusted software stack. Then, trusted services for mobile agent, including authentication, credential management and key storage, are supported.
Research on design and realization of steering flight visual simulation system

Steering visualization technology (SVT) is one of the most important research directions of visualization in scientific computation (VISC) recently. Based on the design idea of SVT, the design architecture of steering flight visual simulation system (SFVSS) is proposed. According to the design architecture and function requirement of the system, based on system modeling and simulation (M&S) technology and SVT, this paper researches on the subject of realization of trajectory simulation subsystem (TSS) and visual simulation subsystem (VSS) in SFVSS respectively. Finally, centering on the application of SVT in SFVSS, two examples are given respectively to express the application of local steering visualization and remote steering visualization in SFVSS.
Near-optimal Waveforms for Improving Hemodynamic Effects during EDCPR

To find out near-optimal compression waveforms for electro ventilation double pump cardiopulmonary resuscitation (EDCPR), a Cardiopulmonary resuscitation (CPR) technique, performed on a mathematical circulatory system model.  At first, a mathematical circulatory system model was established. Second, the hemodynamic effects of EDCPR to the circulatory system model were performed. Third, a sequential lower limb compression pressure (LLCP) coupled with chest compression-decompression was performed.  The proper value and the time sequence of the LLCP were found. And they were in accordance with the results of parallel animal experiments and the data published before.  Chest compression-decompression coupled with a sequential LLCP could improve the aortic pressure and myocardial perfusion pressure better than current CPR technique, during cardiac arrest.
Dual frequency coplanar strip dipole antenna

The paper presents a novel coplanar waveguide (CPW) fed coplanar strip (CPS) dipole antenna which operates at dual frequencies. The transition from CPW to CPS is accomplished with the use of a wideband balun which exhibits less than 1 dB insertion loss up to 4.8 GHz. Return loss data for a single frequency CPS dipole is presented in addition to data showing the two resonant frequencies of the dual frequency CPS dipole antenna. The antenna patterns for both the single and dual frequency antennas were measured and found to be virtually identical.<<ETX>>
Strategic Alignment Methods Based on Demands Classification of Information Technology

Information technologies have already become the critical tools of the strategy execution and drive in the enterprises. In the strategic information system era, the alignment degree between IT strategy and enterprise strategy directly determines the effectiveness of the application of the information technologies, and has a huge influence on the enterprises. According to McFarlan's strategic grid and Henderson's strategic alignment model, bases on four different kinds of strategic alignment viewpoints, this paper proposes a new strategic alignment method with rather good universality and strong feasibility when the idea that different industries have their different demands on IT is considered,. The application of this method is helpful to improve the alignment level of the IT strategy and the enterprise strategic in different types of enterprises.
The Security Analysis of Graphical Passwords

nowadays, graphical password has not been widely used in practical. Most of the graphical password authentication schemes are only discussed in laboratory. In this paper, some typical graphical password authentication schemes are introduced, and the security of them are analyzed according to its estimate criterions. One conclusion is drawn that the memorability and security of graphical password are better than that of text-based password. In addition, it’s shown that the graphical password scheme has better resistance to major password attacks than others.
A novel routing recovery strategy based on particle swarm algorithm for wireless sensor networks with multiple mobile sinks

In the wireless sensor networks with multiple mobile sinks, the movement of sinks or failure of sensor nodes may leads to the breakage of existing routes. In order to repair broken path with lower communication overhead in terms of both energy and delay, we propose an efficient routing recovery protocol with endocrine cooperative particle swarm optimization algorithm to establish and optimize the alternative path. With this method, the alternative path from source nodes to the sink with the optimal QoS parameters can be selected. Simulation results demonstrate that ECPSOA can adapt to rapid topological changes with multiple mobile sinks, while decreasing communication overhead and efficiently reducing the energy consumption.