nils-herrmann/clean_scirepeval huggingface dataset:
Fast Visualization Algorithm for Implicit Surfaces

One extended cell partitioning algorithm is proposed for improving the efficiency of extracting isosurface. A "ring" shape zone is constructed near isosurface. The bound threshold of the zone is determined by the half length of the cell diagonal. The cells inside the zone are processed, and the cells outside the zone are removed. The fast visualization algorithm is applied to the implicit surfaces represented by radial basis functions and multi-level partition of unity. By utilizing the mathematical properties of these implicit functions, the difficulty of calculating the shortest distance from one space point to the surface is solved. Consequently, a fast algorithm of extracting isosurface is implemented. Experimental results show that the new algorithm speeds up the process of extracting the isosurface.
System Level Power Optimization of Sigma-Delta Modulator

A new approach to power optimization of the sigma delta modulators was presented based on the modeling of noise performance while deciding its system functions and the sub-circuit specifications. And a system model of a 2nd order modulator with a Matlab algorithm to optimize its power specifications was developed. The system simulation results showed that all specifications were consistent with the expectations well. By using the proposed architecture, a resolution of 16-bit was achieved
The LaSalle stability theorem of general stochastic hybrid systems

This paper deals with the LaSalle stability theorem of general stochastic hybrid systems. In general the hybrid systems have discontinuous trajectories. And such property brings some difficulty in stability analysis. To overcome this difficulty a new concept named by finite-extraction systems is proposed. For finite-extraction systems their trajectories vary little in a very short time. Depending on this concept and the extended generator formula for GSHS, the LaSalle stability Theorem is extended to general stochastic hybrid systems.
An Importance Based Algorithm for Reliability-Redundancy Allocation of Phased Mission Systems

In engineering applications, there are systems that have both newly developed components with optimized reliability parameters and existed components with fixed reliability parameters. The reliability-redundancy allocation problem (RRAP) is raised to solve these cases by simultaneous optimizing components reliability and providing redundant components. However, most of the existed literature does not consider this kind of systems and they mainly focuses on series-parallel system, this paper propose a hybrid heuristic measure to solve RRAP of phased mission systems (PMS). Importance analysis can estimate the relative importance of components to system reliability, and provide useful information for reliability allocation or redundancy allocation for improving system performance. In this study, an importance based heuristic algorithm is hybridized with well-known genetic algorithm (GA). By embedding the reliability-importance based local search operator in standard GA, the local exploration ability has been further improved. Two PMS examples are presented and the results are compared with standard GA to validate the effectiveness of the provided algorithm.
Boiler combustion optimization using multi-objective model predictive control

This paper proposes the application of multi-objective model predictive control to achieve a dynamic optimization of boiler combustion system. The utopia point of the multi-objective model predictive control system is firstly calculated, and the optimal control sequence is then determined by finding the trade-off solution closed to the utopia point. By using this approach, the arbitrary weighting functions, which are generally used in the multi-objective model predictive control approach are not necessary, and moreover, the procedures of pareto front calculation and final solution decision in the conventional multi-objective optimization can be avoided. Simulation results demonstrate the effectiveness of the proposed multi-objective model predictive control.
An Approach Based on Immune Algorithm and SVM for Detection and Classification of Microcalcifications

As the feature based detection and classification of microcalcifications (MCs) in digital mammograms is considered here as a machine-leaning problem, we investigate an approach using immune algorithm (IA) and support vector machine (SVM), called IA-SVM, to solve it. Firstly, because only support vectors (SVs) are needed to build the classification hyperplane, we compress the training set according to their intra-class and inter-class Euclidean distances without losing any SVs. Meanwhile, an IA based MCs' features selector is provided to select an optimal feature subset, which can construct the input vectors for the latter SVM training; Secondly, the compressed and optimized training samples are fed to a SVM based classifier to make the optimal classification hyperplane more efficiently and more effectively. Experiments demonstrate that our method has better computing performance than other traditional classifiers (training samples were compressed by about 15%) and yields a satisfying Az value (about 0.83).
Robust Fault-Tolerant Control of Multi-Time-Delay Continuous Systems

The problem of fault-tolerant control for a certain kind of multi-time-delay continuous systems is analyzed. Based on Lyapunov stability theory, the sufficient conditions of the systems with fault-tolerance under sensor or actuator failures are given respectively. Then, using optimal control theory, the design method of fault-tolerant controller is presented. Considering the uncertain parameters of practical systems, the sufficient conditions are generalized to uncertain multi-time-delay continuous systems, and the robustness of the fault-tolerant controller is enhanced. Finally, an illustrative example is also given to demonstrate the effectiveness of the proposed method of this paper, and single-time-delay systems and multi-time-delay systems are compared
Segmentation of Complicated Liver Lesion Based on Local Multiphase Level Set

In this paper, we proposes a local multiphase C-V level set algorithm integrated with multilevel OTSU method for the segmentation of complicated liver lesion. We first construct a local liver lesion image, then pre-segment the lesion with multilevel OTSU method to get the initial contour, finally evolve the active contour with multiphase C-V level set method to get the final contour of lesion. Experiments showed that the method can efficiently extract complicated liver lesion.
A 36nV/√Hz noise PSD chopper-stabilized CMOS amplifier with a new ripple-spur-filter scheme

A low-noise, low-power CMOS amplifier is developed using the chopper-stabilized technique. A new filter scheme is employed to suppress chopping ripple and spur. It composes of a band-pass amplifier, a novel low-pass-chopper (LPC) and a low-pass class-AB output stage. With the LPC, the amplifier rejects unexpected high frequency signal by about extra -12dB, which shares burden of the band-pass amplifier. The proposed amplifier is simulated in TSMC 0.35-μm CMOS process and a noise PSD of 36nV/√Hz and a unity gain bandwidth of 1MHz with an overall current consumption of 14.5μA are achieved.
DCT Based Null Space Method for Face Recognition

An improved null space LDA method based on discrete cosine transform (DCT) is proposed to solve both problems. First, by employing DCT instead of "pixel grouping" process and using different definition of the within-class scatter matrix, an improved null space method is proposed. Then, we combine this method with fractional-LDA (F-LDA) and an efficient new feature extraction algorithm to perform face recognition. Experimental results show that the proposed method achieves better performance than other existing ones.
String stability of a class of interconnected nonlinear system from the input to state view

This paper proposes a new definition of string stability from the input-to-state view. By viewing the interconnection as a kind of input to a subsystem, it specifies sufficient conditions of string stability for a class of directed circular interconnected nonlinear systems, which is based on the input-to-state stability analysis and singular perturbation theory. The proof is first conducted on a system with two subsystems, and then expanded to N subsystems. Furthermore, directed graph is used as an illustrative tool in this paper.
An Improved Fingerprint Singular Point Detection Algorithm Based on Continuous Orientation Field

It is very important to detect singular points (core and delta) accurately and reliably for classification and matching of fingerprint. In this paper, an improved method for singularity detection in fingerprint images, which based on continuous orientation field, is proposed to improve accuracy of the position and reliability of the singularity. Firstly, the blocks which may contain singularities are detected by computing the Poincare Index. Then, the singularities are detected in the block images. Experiment show that the proposed method can overcome the shortcoming of the traditional method to great extend and is robust to poor quality images.
Customer equity promotion strategies for commercial banks based on four-dimensional drivers

Using the customer equity measurement model with four-dimensional drivers, the authors establish an index system for the customer equity of commercial banks. Then the data are collected through a sample survey based on the index system. After the principal component analysis and logistic regression are carried out on the data, the weights of all sub-drivers of the customer equity of commercial banks are achieved, as well as explained. Incorporated with the previous qualitative analysis of the customer equity drivers for commercial banks, relevant strategies to promote the customer equity of commercial banks are proposed separately on value driver, brand driver, relationship driver and perception driver. The result also provides theoretical basis for customer equity management and operation for the commercial banks in China.
The Evolution of Technological Capabilities at Chery Automobile: A Dynamic Resource-based Analysis

Can catching-up firms in other developing countries emulate Hyundai's learning model? This question, raised by Linsu Kim in his pioneering work, has been answered by Chery Automobile and other catching-up firms in China with their superior performance. In this article we classify four distinct and complementary dimensions of an organization's technological capability by the pattern and orientation of problem-solving: duplicative imitation, creative imitation, exploitative innovation and explorative innovation. Incorporating those technological capabilities into Helfat and Peteraf's dynamic resource-based model of capability lifecycle, we analyze the particular evolution trajectory of Chery's technological capabilities and highlight the role of selection events in capability transformation to explain how Chery achieves and sustains its competitive advantage in such a dynamic catching-up environment
Extracting Web table information in cooperative learning activities based on abstract semantic model

A great deal of Web table information exists in cooperative learning activities. The paper presents a new method that extracts information from tables of Web documents. Using a tabled abstract semantic model to describe complicated tables and understand tables from the point of view of semantics, the method reduces the dependence for the design difference of table constructions in the extraction process. At the same time, it utilizes the characteristics of HTML and the techniques of natural language processing to design some heuristic rules, and thus aids the identification of table items. On the above basis, we design a prototype, "EXTable", and then gain a better result according to experimentation.
Monitoring object motion using passive RFID technology

This paper presents a novel approach that uses the passive radio frequency identification (RFID) technologies to automatically classify tagged objects in a noisy environment and detect their motion status in a real-time manner. We use the relative variance of response rate from the RFID data and propose an extended Hidden Markov Model (HMM) to annotate and an online Viterbi algorithm to decode the data sequences. An adaptive change-point detection algorithm is applied to dynamically adjust to the changing environment, based upon which to detect motion status. The performance of the approach was evaluated using several measurements including accuracy and latency under a diverse set of conditions. With appropriate configurations, high average recognition accuracy and low average latency can be achieved.
Modeling Natural Image for Estimating DCT Coefficient Properties of Intra Prediction

An elliptical symmetric model in spatial domain of natural image is proposed in this paper. Based on the model, the statistical properties of intra prediction error are studied. Furthermore, using the linear characteristic of discrete cosine transform (DCT) and the proposed model, we offer a mathematical analysis of the properties of DCT coefficient for intra prediction error. The horizontal intra prediction mode is selected as the example. DCT coefficient properties of the rest prediction modes can be derived by the same method.
A Grid Access Control Model Based on Dynamic Negotiating

The same grid user may have another identity in different domains, and same to grid resource which have been restored and maintained in different domains. It is a challenging task for executing grid jobs successfully to make the same user have the consistent privileges in grid. However, distributed characteristic of grid makes it difficult to define and maintain global privileges consistency. And dynamic characteristic of grid seriously threatens global privileges consistency defined in grid access control. This paper proposes a dynamic access control model embodying access policies and its dynamic negotiating. The model supports to define global privileges consistency and automatically resume consistency when conflict has occurred. We also describe a prototype implementation of this model and its performance
Study on TV-Anytime and Intelligent Agent Based Personalization Service in PDR

This paper introduces the research and design of an intelligent multi-agent personalization service system for personal digital recorder, a new generation of personal digital media storage device specified by TV-Anytime specifications. This paper presents the key research results: XML-based metadata representation technique, feature representation and similarity measurement algorithm, preference knowledge learning and update methods, and inter-agent communication mechanism in the system. This paper also presents the design of the demonstration intelligent multi-agent personalization service system for personal digital recorder.
Experimental demonstration of 1600 km SSMF transmission of a generalized direct detection optical virtual SSB-OFDM system

We experimentally demonstrate a generalized VSSB-OFDM format that judiciously determines the frequency gap between an inserted RF tone and the signal. The proposed scheme for 10 Gbps exhibits ~3 dB penalty after 1600 km SSMF transmission, and has an 8 dB improvement over the regular VSSB-OFDM.
A new video segmentation approach: GrabCut in local window

GrabCut is a classical efficient algorithm used in image segmentation. In this paper we provide an approach of video segmentation—an algorithm which is called “GrabCut in local window algorithm” based on GrabCut algorithm. First, make cutout with GrabCut in series of overlap local windows and get corresponding local contour boundaries. Then the contour boundaries in local windows are linked to get foreground contour boundary. Finally foreground segmentation result is obtained by filling the global contour boundary. The comparison with the original GrabCut algorithm is demonstrated at the end of this paper, proving the method is efficient.
Research of rheo model of semi-solid Mg2Si/AM60 magnesium matrix composites

The apparent viscosities of semi-solid Mg<inf>2</inf>Si/AM60 magnesium matrix composites at steady state were tested‥ The results show that the apparent viscosities of semi-solid Mg<inf>2</inf>Si/AM60 magnesium matrix composites at steady state increase with increasing solid fraction f<inf>α-Mg</inf> and volume fraction of Mg<inf>2</inf>Si f<inf>Mg2Si</inf> and decrease with increasing shearing rate γ. An equation that shows the effect of f<inf>Mg2Si</inf>, f<inf>α-Mg</inf>, γ on the apparent viscosities was established as following, equations.
Gait Recognition Based on Fast Shape Matching

This paper proposes a novel gait recognition method based on fast shape matching algorithm. First, we propose a simple but effective gait cycle estimating method and analyze the periodic property of gait sequences. Each frame in the sequence is assigned a phase. Those frames with the same phase are averaged to clean noises. As a result, the original long sequence with dozens of frames is simply represented by a shorter representative sequence with half of cycle length. Shape context descriptor is introduced to depict the distribution of the boundary point of each frame. In order to decrease the computational cost of point matching, we propose a fast shape matching method. The computational efficiency is at least upgraded by two orders of magnitude. The experiments on NLPR database verify the effectiveness of the proposed method. Moreover, we also discuss the influence of the number of the most similar frame and the number of sample point.
Monolithic quasi-sliding-mode controller for SIDO buck converter in PCCM

An analog implementation of a novel fixed-frequency nonlinear controller for single-inductor dual-output (SIDO) buck converter in pseudo-continuous conduction mode (PCCM) is presented in this paper. Both the small and large signal variations around the operation point are considered to achieve better transient response so as to further reduce the cross regulation of this SIDO buck converter. Moreover, an internal integral loop is added to suppress the steady-state regulation error introduced by conventional PWM-based sliding mode controller. To verify the feasibility of this novel fixed-frequency quasi-sliding mode controller, a SIDO buck converter with two regulated output voltages (1.8V and 3.3V) is designed and fabricated in HEJIAN 0.35μm CMOS process. Simulation and experiment results show that when the first load changes from 50mA to 100mA, the transient time of this SIDO buck converter can be as low as 10μs while cross regulation is almost eliminated.
Using mobile learning way to support learning of the deaf

With the rapid development of computer technology, network technology and communication technology, mobile learning has becoming the focus of educational technology currently. Today, the scale of China's special education is expanding, our enrollment of deaf students is increasing, the quality of special education is getting more and more important. In this article the author will firstly introduce the mobile learning, and then combing with the status quo of education for deaf students introduce to use mobile learning way to support selective learning, combination of virtual and real learning, both formal and informal learning, collaborative learning of the deaf.
A Method of Information Security Risk Assessment Using Fuzzy Number Operations

After systematic analysis of risk factors of information security and assessment process, a quantitative security assessment method is presented based on fuzzy number operations. Both the fuzziness of the indices and the uncertainty of weight determination are considered. Then the grades of fuzzy language variables are given, and the opinions of multi experts are integrated to triangular fuzzy numbers. Hence, comprehensive fuzzy assessment is made by using the operation rules defined on the triangular fuzzy number. Finally, by using fuzzy number ranking method, the assessment result is defuzzified and the risk grade is determined. An illustrative example is given to show the effectiveness and validity of this method.
Optimization of Multiple Control Parameters of Mathematical Model of Cardiopulmonary Resuscitation Based on Genetic Algorithm

The objective of the study is to improve the aortic pressure and myocardial perfusion pressure during cardiac arrest through optimized control parameters of external force for cardiopulmonary resuscitation (CPR). The CPR technology described in this paper was active compression-decompression CPR with enhanced external counter-pulsation and inspiratory impedance threshold valve (AEI-CPR). A genetic algorithm (GA) was applied on an established mathematical model of human circulatory system to obtain optimum control parameters of external force for AEI-CPR. Three groups of optimal control parameters were found after running the algorithm for three times. The average number of model running was 149. Obvious hemodynamic effect was attained when the frequency of compression was about 110 min -1 and the lower limbs compression began at the end of chest compression.
The Dynamic Information Technology Capability and Firm Performance: A Resource-Based Perspective

The evolution of information technology (IT) applications in firms can be captured in some stages, and each stage displays distinct characteristics regarding the application of IT and has different objectives. Thus, the different IT capabilities are needed in the different stages. The purpose of this paper is to develop the theoretical links between IT capability and the stage of firm's using IT. Based on resource-based view, a model linking the level of IT capability with the stage of IT applications is built in this paper. Then, using the revised Balance Scorecard, two hypotheses are produced. In order to gain higher performance, firms must cultivate and advance its IT capability dynamically according the evolution of IT applications.
An effective implementation and embedding algorithm of PTA method for finding DC operating points

Recently, the compound element pseudo transient analysis method, CEPTA, is regarded as an efficient practical method to find DC operating points of nonlinear circuits when the Newton-Raphson method fails. In this paper, an effective SPICE3 implementation algorithm for the CEPTA method is proposed. It can significantly improve simulation efficiency with smaller limitations during simulation. Besides, the influence of different pseudo-elements' embedding positions on the simulation efficiency is also discussed and presented with numerical examples. Several numerical examples demonstrate the improvement of simulation efficiency and convergence performance.
Containment Control of Single-Integrator Network With Limited Communication Data Rate

This technical note investigates distributed containment control for a single-integrator continuous-time multi-agent system with a limited communication data rate. Network topology is a directed communication graph. The containment control with quantized communication for each follower is designed using only its neighbour's quantized information so that all followers move into the convex hull spanned by the leaders. Necessary and sufficient criteria which guarantee achievement of containment consensus are given if the communication data rates are unfixed or fixed. Under a given bound on communication data rate, an algorithm is established to achieve the containment consensus. Finally, all the theoretical results are illustrated by numerical simulations.