nils-herrmann/clean_scirepeval huggingface dataset:
Low Voltage Low Power Current Mirror OTA for Sigma-Delta Modulator

A low voltage low power class-AB operational transconductance amplifier (OTA) used in Sigma-Delta modulator is presented in this paper. To reduce the power consumption under low voltage, a current mirror topology with near rail-to-rail output swing is proposed. Its DC gain is enhanced by gain enhancement architecture without extra power consumption. Moreover, to achieve very low errors and smaller settle time, a novel switched-capacitor common-mode feedback (SC CMFB) circuit is introduced. Using 0.35 mum TSMC CMOS standard process, the OTA is designed to operate at 1.5 V supply voltage. For a 2.5 pF load capacitor the OTA achieves a DC gain of 60.58 dB, a GBW of 6.30 MHz and a slew rate of 3.24 V/ mus. The static power consumption is about 22 muW exclusive of that of CMFB circuit. It shows that the proposed OTA topology could be applied to low voltage low power switched- capacitor application.
An embedded voltage harmonic compensation strategy for current controlled DG interfacing converters

Harmonics have been considered as one of the major issues in future power grids. With the increasing demand in advanced control functions, power electronic converter interfaced Distributed Generators (DGs) are expected to perform harmonic compensation when necessary. It has been demonstrated in a number of studies that DG converters operating in Voltage-Controlled Mode (VCM) can be easily configured to realize voltage harmonic suppression utilizing naturally embedded voltage control loop. While for DG converters operating in Current-Controlled Mode (CCM), such function was rarely studied. Considering that CCM is commonly used in renewable energy based generators and energy storage systems, it has certain significance to achieve the same function with CCM operated converters. Aiming at such objective, this paper proposes a voltage detection based embedded Harmonic Compensator (HC) for CCM converters. The novelty and main advantages of the proposed method include: 1) it realizes seamless interface of HC with inner fundamental current control loop; 2) compared with conventional active power filtering method, it does not require remote load harmonic current measurement since it is based on local voltage detection; 3) compared with conventional voltage detection based method, it offers better performance because of direct harmonic voltage regulation. Experimental results are presented to demonstrate the effectiveness of the method.
The EEG Signal Preprocessing Based on Empirical Mode Decomposition

The electroencephalogram (EEG) is widely used by physicians for interpretation and identification of physiological and pathological phenomena. However, the EEG signals are often corrupted by power line interferences noise and EMG induced noise. These artifacts strongly influence the utility of recorded EEGs and need to be removed for better clinical diagnosis. How to eliminate the effect of the noise is an important preprocessing problem in signal processing. In this paper, a novel and efficient power interferences reduction algorithm by the recently developed empirical mode decomposition (EMD) for the EEG signal is proposed. The principle of this method consists of decompositions of the EEG signal into a limited number of intrinsic mode function (IMF). This algorithm can effectively detect, separate and remove a wide variety of artifacts from EEG recording. Experimental results show that the proposed EMD- based algorithm is possible to achieve an excellent balance between suppresses power interference and EMG noise effectively and preserves as many target characteristics of original signal as possible.
High-conversion-ratio buck regulator for SoC in 0.13µm digital CMOS process

Aiming to SoC (System-on-Chip) power supply in portable devices, a high-conversion-ratio buck regulator is proposed. The operation duty cycle is expanded to 100% due to the emulated current mode. The 2.5V to 4.5V input voltage range makes it ideally suited for single cell Li-Ion battery supplied devices. The range of output voltage is from 1.2V to input voltage accord to different kinds of SoC IP cores. At the same time, a high efficiency light load operation is introduced in to prolong battery lifetime. To obtain good compatibility with digital systems, the proposed buck regulator is designed in SMIC 0.13µm standard digital CMOS process (the I/O can withstand an input voltage up to 4.6V). The simulation results are consistent with expectations well.
A New Gait Analyzing Method Under Monocular Camera

View point is a key factor in the field of gait analysis. This paper put forward a novel gait analyzing method which can avoid the affection of view points in some extent. It sponsors a new way of 3D point reconstruction from an image captured by a monocular camera with a coordinate conversion factor from the view of projective geometry through parallel restriction. In gait analysis, the human body is modeled by three connected sticks. Then we make use of the coordinate conversion factor to obtain the gait feature composed of five elements represented by the parameters of that model. In the experiments, our algorithm is tested by estimating the trajectory of walking people. The results reveal that the reconstruction is simple and effective. Moreover, the extracted features can partially avoid the affect of view points.
Discover partially copied web videos

In this paper we address the problem of detecting partially copied web video. Discovery of copy relationship among web videos could facilitates clustering, recommendation and other applications. A hierarchical framework for rapid copy location is proposed. Utilizing the near neighbor search of ANN kdtree algorithm, the copy location problem can be converted into an optimal problem to solve. To retrieval copies from large scale database, we use image edge histogram and key-point trajectory base features for matching. Experiments on web video dataset demonstrate that propose framework is capable to discover common segments. Based on discovered copied matches we explore the migration relationship of web videos.
E-commerce in Industry Cluster

The pair of economic phenomena - industry cluster based on the geographical gather of the economic activities and e-commerce based on the geographical expansion of economic activities - looks contradictory, however, they have unified actually. In many economic regions, e-commerce can depend on industry clusters and develop with them interactively. This article takes Zhejiang province as a case, discusses problems of e-commerce in industry cluster's production mechanism and the characteristics of the operation and organization
Establisher or manager? when a firm is diversification

Diversification means entry into new industrial areas. Based on the theories of the two strategic mainstream schools: the Industrial Organization and the Resource-based view, this paper introduces two kinds of diversification strategies, saying the opportunity-oriented strategy and the resource-oriented strategy, which are usually adopted by a firm's establisher and manager respectively. From the first perspective, an entry of new industrial area follows the process of "opportunity-strategy-resource" which is usually taken by the risk-favored establishers. From the second perspective, an entry follows the opposite process of "resource-opportunity-strategy" which is usually taken by the risk-averse managers. By combining with the establishing phase and developing phase of the whole life of firms, a matrix of "phase/strategy" is introduced. The matrix shows that different strategies are needed in different phases when a firm is diversifying. And it also indicates that whether or not a firm's decision maker is still the establisher, who cannot change his opportunity-oriented strategic intent to the resource-oriented strategic thought, determines the success opportunity of diversification. In the final part, through a case study from China, the view of this paper is verified.
Fast implicit surface reconstruction method based on normal constraints

In this paper, a new procedure for implicit surface reconstruction from oriented points is presented. A normal constraints based implicit polynomials fitting method and the partition of unity approach are fused into our framework. Firstly, a large scale input data is subdivided into some overlapping patches by octree. Then the global implicit surface is transferred into local implicit patch fitting and blending of them. To fit the local implicit polynomials, we build an energy by three steps corresponding to enforcement of the interpolatory constraints, satisfying of normal constraints and enhancement of fitting stability. The unkowns in an implicit polynomial are determined by minimizing this quadratic energy function. It is demonstrated in some experiments with several real data sets that this combination provides an intuitive and effective means to approximate the scattered point data associated normals.
Integrity Measurement Enhanced Security for Mobile Agent Based on Trusted Computing Platform

As an important new paradigm for distributed computing, the mobile agent (MA) technology has a lot of potential applications in practical fields. However, the success of MA depends on its security. In all security problems of MA system, the malicious host issue is always a difficult problem. If the computing environment could report its integrity attestation, MA could validate the trustworthiness of computing platform. Then it could execute itself function on the trusted platform. This paper discusses the secure framework on trusted computing platform accord with trusted computing group (TCG) specification and trusted loading of mobile agent environment program on trusted computing platform. The integrity challenge protocol between mobile agent and computing platform was designed and proved to enhance security of MA.
Shape prior based foreground segmentation with local rotation and structural changes

Shape prior based segmentation method has the advantage of robustly tracking moving object. But, it can not deal with local rotations or changes of object structure. In this paper, we propose an algorithm that can accurately segment the moving foreground object with local rotation and object structure change from the low resolution gray scale images based on Schoenemann's method. Two new terms, turning angle and a distance function, are added to the energy function. When estimating the similarity between the prior shape template and the object contour, turning angle is used to measure the curve match, which is rotational invariance and translational invariance. To deal with the object structure change, a distance function is added to the energy function. The experimental results show that the improved new energy function can robustly segment and track the foreground object with local rotations and structure change.
The Dynamic Optimal Strategic Analysis for a Monopolist Advertising and Pricing Based on Goodwill

In this paper, we extend the well-known Nerlove-Arrow dynamic model by adding both price and advertising, and study the dynamic optimal strategic pricing and advertising decisions of a monopolist, and obtain the following three main findings. First, a product's price higher than the myopic price on considering the price and advertising effects on goodwill. This result is consistent with the product differentiation policy that facilitates higher prices. Second, the ratio of goodwill to profit is directly proportional to the goodwill elasticity and inversely proportional to the sum of the marginal opportunity cost of investment. Third, if demand increases by more than the value of the new goodwill, then the firm should make profits through pricing and advertising based on cost considerations only. On the other hand, if the value of the new goodwill increases by more than the demand, then the firm should make profits from the goodwill improvements by advertising with a high goodwill.
Hysteresis modulation-based sliding mode current control of Z-source DC-DC converter

The Z-source dc-dc converter is a boost-type converter with high voltage gain than conventional boost converter. However, like boost converter, the Z-source dc-dc converter is also a non-minimum phase system, it transfers energy to load indirectly via the Z-network inductors. This paper presents the hysteresis modulation-based control for Z-source converter. Using differential geometry it is proved that Z-source converter with load voltage as the output is a non-minimum phase system. The coordinate sliding function based on inductor current error ensures the stability of zero dynamics. With that proved, a sliding mode current control for Z-source dc-dc converter is proposed. The switching frequency of the converter is constrained by introducing a hysteresis band. The Matlab/Simulink is used for the system simulation and results are presented for the validation of proposed theoretical technique.
Stabilization for a Class of Stochastic Nonlinear Systems via Output Feedback

In this paper, an output feedback stabilization is considered for a class of stochastic nonlinear systems, whose nonlinear terms admit an incremental rate depending only on the measured output. First, a high-gain observer is designed with a gain coming from a Riccatti equation. Second, by the backstepping approach, an output feedback controller is obtained, which guarantees global stability in probability and regulation of the state of the plant to zero with probability one. Third, an example is delivered to illustrate the proposed technique.
Effect of electromagnetic pulse on the changes of myocardial enzyme spectrumin in the canis familiaris

This article aim to investigate the effects of electromagnetic pulses (EMP) on the changes of myocardial enzyme spectrumin in the canis familiaris. To activitives of creatine kinase(CK), creatine kinase isoenzyme(CK-mb), lactic dehydrogenase(LDH) and α-hydroxybutyric dehydrogenase (α-HBDH) in the blood serum of canis familiaris were examined by Half Routine Blood Biochemical Analyses at the 1 day, 3 day, 5 day after EMP exposure ( 100, 1000, 10000 pulses). The results showed that myocardial enzyme spectrum disturbance occurred after EMP irradiation. Compared with the control, the activitives of CK, CK-mb and LDH were increased, but a-HBDH was decreased. In conclusions EMP exposure can markedly changed on myocardial enzyme activities in the blood serum of canis familiaris.
Establishing the security foundations for network protocol design

The foundation of network security have not been paid enough concentrations, and the comprehensive considerations for the solution models in network security have not been explored thoroughly. In this paper, we make the first attempt to establish several models for the security of network protocols. We divide the security of network protocols into two folders: the implementation security of network protocols, and the design security of network protocols. Four models are proposed to clarify the security problems: software vulnerability model, scalability model, authentication model, and covert model. We also propose several defense principles for all models. The security reduction is also proposed to transform the solution method for security problems to other available security verification and testing approaches. For example, the implementation security of network protocols is reduced to the security of software implementation for parsing protocols, so that the fuzzy test can be used for verification. The pressure test are used for scalability model. The exploration of the paper can help to stimulate the further discussions on the foundations of network security, especially the design security of network protocols.
A study of stereoscopic display technology and visual fatigue caused by viewing stereoscopic images

The stereoscopic display technology has become a main topic in recent years and it still exists visual fatigue problem which aspects our experience greatly when view stereoscopic images. This paper analyzed the principle of stereoscopic display and then briefly introduced the stereoscopic technologies based on binocular parallax, meanwhile we also talked about the visual fatigue caused by viewing 3-D images include of the definition, phenomenon and research methods of. Finally, it prospected the developing trend of stereoscopic display technology as well as visual fatigue's impact on our health.
Structure Design of Intelligent Fault Diagnosis System Based on Data Mining

To solve the limitations of intelligent fault diagnosis system, a new intelligent fault diagnosis method based on data mining is presented. After a brief discussion of the general structure of intelligent fault diagnosis system based on data mining (IFDSDM), the function of its subsystem is described, followed with the structure of knowledge base and the method of knowledge representation. IFDSDM efficiently integrates the knowledge acquisition, reasoning mechanism, IKDD (improved knowledge discovery in databases system) mining and Web-based open fault diagnosis system into IFDS. Thus, IFDSDM is a new type of integrated intelligent fault diagnosis system with two networks and six bases. It improves and expands the function of conventional IFDS. What's more, it overcomes some of the limitations of IFDS
Resource Scheduling Research of Polymorphism Task Based on Manycore Architecture

In complex runtime system with many core architecture, resource scheduling policy can significantly affect the processing capability of the system, which can make resource allocation adapting to the need of tasks. This paper proposes a resource scheduling model of polymorphism Based on many core architecture and defines polymorphism task in formal way. According to the resource scheduling model, Many core Resource Schedule Algorithm (MRSA) is proposed. In addition, we set up the experiment environment Based on many core architecture, the simulation result illustrates that the proposed algorithm 'MRSA' can well response to the need of tasks, MRSA algorithm also improve the utilization ratio of system resources.
Implementation of the EOG-Based Human Computer Interface System

Bio-based human computer interface(HCI) has attracted more and more attention of researches all over the world in recent years. In this paper, an EOG-based HCI system is introduced. It is composed of three parts: EOG amplifying and acquisition, EOG pattern recognition and control command output. Three plane electrodes are employed to detects the EOG signals, which contains the information related to the eye blinking and vertical( or horizontal ) eye movements referred to pre-designed command table. An online signal processing algorithm is designated to get the command information contained in EOG signals, and these commands could be used to control the computer or other instruments. Based on this HCI system, the remote control experiments driven by EOG are realized.
Equivalent sliding mode control for multi-level buck converter

This work describes the design and implementation of the equivalent sliding mode control for Multi-level buck converter in aircraft applications. The multilevel buck converter has been applied in the field of variation of input voltage and high power application, and is a nonlinear system with multi-input, multi-output and strong coupling. This paper designed a strong robust equivalent sliding mode controller for multi-level buck converter to reduce the sensitivity to parameter variations and load disturbances. The detailed design procedure and parameter selection method are presented. Simulation results show that, compared with the PID controller, the multi-level buck converter controlled by the equivalent sliding mode has good dynamic response and stronger robustness under the disturbances in input and output.
Management system research of large-scale new energy development based on energy internet

Energy internet means in-depth fusion of energy and the Internet, which is widely concerned by scholars and related businesses, both at home and abroad. Firstly, energy internet development situation is combed in this paper. Based on energy internet interpretation, five core research contents, such as implementing principle, main participation body, absorption process, management mechanism, optimizing strategy, which are related to new energy inter-district trade, are well researched in this paper, showing a management system research of large-scale new energy development based on energy internet. New energy inter-district deal is an effective path for promoting energy scale development, and realizing energy structure adjustment, which provides reference for future energy internet development.
Parameter optimization and initial value methods of PTA method for DC analysis

Recently, an efficient damped pseudo transient analysis method was proposed to find DC solutions for nonlinear circuits. However, the simulation efficiency is still not satisfactory. In this paper, for different kinds of circuits, we get some groups of PTRAN algorithm control parameters values by using a parameter optimization algorithm for pseudo-transient analysis to obtain higher efficiency during the DC analysis. Besides, an initial solution method for pseudo-transient analysis is proposed too. The simulation effectiveness is demonstrated by numerical examples.
The Research of Audio and Video Public Network Platform Based on CDN and P2P

The paper first analyzes the basic theory of the CDN (Content Delivery Network) audio and video system and the P2P (peer to peer) audio and video system, and presents its own limitations of each kind of the architecture. Then a hybrid model has been proposed, which integrates CDN and P2P to build the audio and video public network platform. The paper describes the architecture of the hybrid model, its work processes and characters in detail. The model takes full advantage of the two kinds of technologies, reducing the construction cost of the CDN as well as promoting the effective supervision of the P2P, so it gives us a brand new view of building the audio and video public network platform.
The Algorithm for Creating Weighted Voronoi Diagrams based on Cellular Automata

An algorithm model based on cellular automata for constructing Voronoi diagram of complex entities in grid space is proposed in this paper. The grids are abstracted as cells in the model take advantage of the discrete quality of CA. The belonging of cell is determined in the transaction process of cell's states. Voronoi diagrams in grid space are generated along with the evolution of CA. Not only the model could be applied to complex entities, but also it don't depend on some certain distance calculate ways. As the experiment demonstrated that the model based on cellular automata is effective for creating weighted Voronoi diagram of complex entities
An Approach on Suppressing Speckle in Ultrasound Images

Due to the logarithmic compression of the echo envelope by clinical ultrasound systems, Nakagami distribution can be more general to described the statistics of speckle and be used to design an unsharp mask filter to adaptively reduce speckle. This paper provides a novel adaptive speckle suppressing anisotropic diffusion(ASS-ANDl) method for medical B-scan ultrasonic images. The unsharp mask filter is evolved and combined with anisotropic diffusion method by introducing coefficient of variation based on local statistics of speckle. Performance of the new method has been tested on the ultrasonic images experimentally, we demonstrate that ASS-AND1 approach outperforms the conventional anisotropic diffusion(ANDl) in reducing speckle and preserving useful details.
9μW 88dB DR fully-clocked switched-opamp ΔΣ modulator with novel efficient resonator

A 9µW 88dB dynamic range (DR) switched-opamp (SO) ΔΣ modulator is presented. A new SO with a fully switched-off scheme is proposed, which results in a 50% power saving and double figure-of-merit over the traditional structure. Also, a novel resonator is applied to realise a zero-optimising coefficient of 1/100 with 75% power and 70% area reduction compared with the conventional one.