nils-herrmann/clean_scirepeval huggingface dataset:
Open-Loop and Closed-Loop Differential Duopolistic Models of Optimal Sticky Prices and Advertising in Product Differentiation Market

This paper develops a differential duopolistic game model of optimal sticky prices and advertising in product differentiation market, and investigates the properties of open-loop, and closed-loop memoryless Nash equilibrium. Specifically, we have made two contributions with respect to the available literature. First, we have proposed the new assumption of the price adjustment speed is decided by the goodwill levels that are composed of consumer preference structure, the levels of the product differentiation and advertising expenditures, which extend the assumptions in existing literature. Second, we have analyzed the case of the closed-loop (memoryless) solution concept, in addition to the open-loop solution. We show that the latter equilibrium entails a larger level of steady state production as compared to the former; both equilibriums entail a larger level of production in steady state than the static Cournot game.
Nonlinear Systems Modeling Based on Self-Organizing Fuzzy-Neural-Network With Adaptive Computation Algorithm

In this paper, a self-organizing fuzzy-neural-network with adaptive computation algorithm (SOFNN-ACA) is proposed for modeling a class of nonlinear systems. This SOFNN-ACA is constructed online via simultaneous structure and parameter learning processes. In structure learning, a set of fuzzy rules can be self-designed using an information-theoretic methodology. The fuzzy rules with high spiking intensities (SI) are divided into new ones. And the fuzzy rules with a small relative mutual information (RMI) value will be pruned in order to simplify the FNN structure. In parameter learning, the consequent part parameters are learned through the use of an ACA that incorporates an adaptive learning rate strategy into the learning process to accelerate the convergence speed. Then, the convergence of SOFNN-ACA is analyzed. Finally, the proposed SOFNN-ACA is used to model nonlinear systems. The modeling results demonstrate that this proposed SOFNN-ACA can model nonlinear systems effectively.
Design and Implementation of the Zigbee-Based Body Sensor Network System

Tranditionally the medical monitoring used in hospital brought a lot inconvenience because of the complex wires between patients and equipments. In order to solve these problems, a human health wireless monitoring system based on Zigbee wireless communications is proposed. The system proposes multiple wireless physiological sensors to form a expandable wireless sensor network system architecture. Then the structure of the system used in wireless sensor nodes is introduced and the purpose is to collect the patients' physiological information, such as pulse, temperature, basically realize remote medical monitoring for patients. This system can not only realize accurate measurement of indicators, but also save the patients' travel between home and the hospital.
Mems capacitive force sensors for micro-scale compression testing of biomaterials

This paper reports on recently developed MEMS capacitive force sensors and their application to micro-scale compression testing of hydrogel microcapsules for drug delivery. The bulk microfabricated capacitive force sensors are capable of resolving forces up to 165 muN and a resolution of 33.2 nN along two independent axes. Employing tri-plate differential comb drives and a two-frame design, the sensors demonstrate a high input-output linearity and suppressed cross-axis coupling. The MEMS capacitive force sensors have been applied to the quantification of mechanical parameters (Young's modulus and coefficient of viscosity) of individual drug-delivery microcapsules through micro-scale compression testing.
Study on automatic routing algorithm for medium voltage powerline communication

This paper gives the analysis of the feature of the medium voltage powerline communication in the view of reliability, investment and flexibility and the discussion of the necessity of routing automatically, compares the advantages and shortcomings of the bionic algorithms people research on a lot. It proposed an improved automatically dynamic routing algorithm for medium voltage powerline communication based on a project. The algorithm based on the communication optimality theory and non-overlapping clustering-based routing algorithm, combined with the corresponding communication protocol to achieve automatic network. Using the master and slave stations as network nodes, it decides logic layer according to the communication mode, creates the initial routing table, optimizes the communication quality, updates and sets reconstruction strategy. Simulation of the algorithm in Matlab and analysis of the communication quality and time-consuming are given. The simulation results show that the algorithm can achieve the automatically routing for medium voltage powerline carrier and improve the reliability and invulnerability of the network.
A glucose-responsive insulin delivery micro device embedded with nanohydrogel particles as “smart valves”

This paper presents a glucose-responsive micro device capable of modulating drug diffusion rates according to changes in environmental glucose levels. New glucose-responsive composite membranes with enhanced mechanical strength were developed, in which chemically immobilized glucose oxidase and pH-responsive hydrogel nanoparticles were embedded within PDMS micro grids, functioning as intelligent ‘nano-valves’ in response to surrounding glucose concentration variations. Membrane responsive release profiles were quantified by testing model drug diffusion (bovine insulin), with an increase in release rates in response to increasing glucose levels. The composite membranes were integrated with PDMS drug reservoirs to form proof-of-concept devices. Release profiles of the glucose-responsive micro devices were also measured, demonstrating a marked increase in release rates of insulin when glucose levels in the surrounding media increased from 100 to 300 mg/dL.
Terrestrial distribution of soil microbial quantity in natural wetland of the Xilin River at Mongolian Plateau

Terrestrial distribution with soil bacteria, fungi and actinomycetes amount of the Xilin River natural wetland was investigated. The result that soil microbial community compositions of typical grasslands and natural wetlands, with the elevation changes gradually reduce the soil moisture content from bed sludge (HX) to typical steppe (DT), changed significantly. The total microbial and aerobic bacteria numbers were gradually increased in order of HX, riparian mire (HB) and low flood plain (DQ). DQ is 2.74 times as aerobic bacteria number as HB and 5.53 times as aerobic bacteria number as HX. The total microbial and aerobic bacteria numbers were gradually decreased in order of DQ, high flood plain (EQ) and DT. DQ is 1.36 times as aerobic bacteria number as EQ and 9.89 times as aerobic bacteria number as DT. The tendency of microbial terrestrial distribution from HX to DT is single peak which appear DQ, indicating that DQ environment is more suitable for growth and reproduction of aerobic bacteria. Spore-forming bacteria and fungi numbers were gradually increased with soil moisture decreasing from HX to DT, in addition, the positive correlations are found between Spore-forming bacteria and fungi numbers and organic matter, total nitrogen, total phosphorus and microbial biomass C contents. Spore-forming bacteria numbers have significant differences between HX, HB and other three samples, and significant differences were found among DQ, EQ, DT. Fungi numbers have significant differences between HX, HB, DQ and EQ, DT, and significant differences were found between EQ and DT. DT included the largest number of actinomycetes and its numbers have significant differences between DT and wetlands.
A novel coefficient automatic calculation method for sinc filter in sigma-delta ADCs

A novel coefficient automatic calculation (CAC) method for Sinc filter is proposed. Using CAC method, filter coefficients at full accuracy could be accessed with state transition and accumulator chain, without any coefficients storage. The illustrated method is an alternative to standard cascaded integrators and comb (CIC) approach and reaches maximum 41% power saving at cases. The performances of the proposed CAC and CIC approach are compared for general cases under different filter orders and decimation factors. Comparison shows that when filter order is low, the proposed CAC approach could be preferable for that in this case its power dissipation is much lower than CIC while keeping the acceptable area. All synthesis results are obtained under supply voltage of 1.62 V using TSMC 0.18 mum CMOS technology.
A Scene-Driven Modeling Reconfigurable Hardware-in-Loop Simulation Environment for the Verification of an Autonomous CPS

Cyber-Physical System(CPS) is now a new evolutional morphology of embedded systems. With features of merging computation and physical processes together, the traditional verification and simulation methods have being challenged recently. After analyzed the state-of-art of related research, a new simulation environment is studied according to the characters of a special autonomous cyber-physical system-Unmanned Aerial Vehicle, and designed to be scene-driven, modeling and reconfigurable. In this environment, a novel CPS-in-loop architecture, which can support simulations under different customized scenes, is studied firstly to ensure its opening and flexibility. And as another foundation, some dynamics models of CPS and atmospheric ones of relative sensors are introduced to simulate the motion of CPS and the change of its posture. On the basis above, the reconfigurable scene-driven mechanisms that are Based on hybrid events are mainly excogitated. Then, different scenes can be configured in terms of special verification requirements, and then each scene will be decomposed into a spatio-temporal event sequence and scheduled by a scene executor. With this environment, not only the posture of CPS, but also the autonomy of its behavior can be verified and observed. It will be meaningful for the design of such autonomous CPS.
The Research of an XML-based Grid Information Modelling and Retrieval System

To achieve the goal of grid computing, scalable and effective mechanisms for representing, managing, and retrieving diversiform grid information are required. This paper presents an XML-based Grid Information Management System (XGIMS), which implements grid information modelling and retrieval. With GLUE specification, an extensible schema service is proposed, which supports user-defined resource schemas. Different from lots of existing approaches, an index- based XML parser is used to build indexes of grid resources based on the model. Furthermore an index- based XPath engine is presented for efficient and flexible query. XGIMS has been applied to the Information Service in ChinaGrid and the experiment results proved its efficiency.
Improving PWF Method of Despeckle in Polarimetric SAR Image by Fusion Based on Nonsubsampled Contourlet Transform

A novel and efficient improving PWF method of speckle reduction in polarimetric SAR image by fusion based on nonsubsampled contourlet transform is proposed. First, the three complex elements (HH, HV, and VV) of the polarimetric scattering matrix were decorrelated to form a new elements matrix. Then we show that the sub-band decompositions of the three elements using nonsubsampled contourlet transform, and fusion factor is applied to the decomposed directional high-frequency coefficients to create new sub-band coefficients. Finally, we process and reconstruct multi-resolution contourlet coefficients according to the PWF method. Experimental results show that compared with PWF de-speckling algorithm, the proposed algorithm can achieve an excellent balance between suppresses speckle effectively and preserves image details, and the significant information of original image like textures and contour details is well maintained.
Prominent network position: Value creation and value protection

The challenge of interfirm network management has prompted firms to design a dedicated alliances network with desirable properties in order to deliver maximum value. By using a longitudinal case study, this paper shows strategic action that a firm may take to construct and motivate a prominent network position through alliance with multiple well-endowed partners. More specifically, it discusses networking strategies regarding network membership, tie modality and network structure in terms of value creation and value protection.
Toward cyber-physical networks and smartly active sensing IETM for equipment maintenance in marine ships

The equipment maintenance for marine ships is of upmost importance especially in a long-distance voyage. This problem becomes more challengeable as the numbers and sorts of equipments become much larger in very large ships. Traditional on-board equipment maintenance heavily relies on a technology called IETM (Interactive Electronic Technical Manual). However, traditional IETM technology has several limitations: 1) It cannot automatically and actively collect diagnose information; 2) The manual input or operation for IETM is frequent and time-consuming; 3) IETM is standalone or heavily rely on central servers. Therefore, the response for removal of faults imposes a large delay and low accuracy. In this paper, we make the first attempt to incorporate Cyber-Physical Networks and active IETM together to tackle aforementioned limitations. IETM can sense equipment status and environmental parameters in real time. IETM can also respond diagnosing guidance smartly. Cyber-Physical network is a network of Cyber-Physical Systems (CPS) that physical object may be embedded sensing and acting functions. The function models, architectures, and reasoning models are proposed. The diagnosing algorithm is also presented for clarity and off-the-shelf implementation. The discussion in the paper makes the first attempt to incorporate CPS into IETM for equipment maintenance, which stimulate further novel and promising discussions in the future.
Micromachined piezoelectric acoustic device

Micromachined technology has been widely used to reduce device size and improve performance. In this paper, our research activities on micromachined piezoelectric acoustic devices at wide frequency range, from audio microphones to ultrasonic transducers, are reviewed. These devices are based on ferroelectric thin films, and exceed the conventional acoustic devices in excellent performance, miniaturized size, high reliability and compatibility with conventional integrated circuit fabrication. Resonance frequency can be determined by the thickness of each layer composing the thin film. Compact arrays of these devices are designed, fabricated and characterized to enhance sensitivity and pointing. Micromachined acoustic devices could find extensive applications in practical systems.
A trusted computing approach to building trusted connect between entities in mobile agents environment

Mobile agents can provide many benefits to the development of distributed applications. But the mobile agent system will face some security threat since it will run in an opening network environment. In this paper, we analyzed the security threats in mobile agent system and provided a method to build the trusted connect between entities in mobile agent environment. This method uses the trusted platform module in trusted computing platform as the trusted base. When a mobile agent wants to migrate to another platform, it should use a trusted connect between the source host and the goal host. The agent and agent platform can trust with each other. This method will be helpful to build a trusted computing environment for the mobile agent system.
A PDM Design Based on the Clothing Plate-Type

This paper proposes a PDM design based on the clothing plate-type, and integrates the various different tools and software used in the stages of the product life cycle. So that the data can be used unhindered by the designers, producers, managers and marketers at all stages. It solved the problem that date can only be used in a phase-specific. In this paper, we construct the two three-tier structure based on J2EE and teamcenter to adapt to the different needs of different users. And according to the requirement of PDM implementation, the problems in the process of PDM modeling are researched, Three models in the process of implementation including Plate-type database, the framework of the PDM system based on teamcenter, and server architecture are established, and the report system is developed by the research of the pick-up method of the relative information of teamcenter product. In addition, the paper integrates the existing idea of ERP. The study has some reference value to the digital garment enterprises
Online Infomax Algorithm and its Application to Remove EEG Artifacts

An online infomax algorithm is proposed in this paper. The performances and properties of this online algorithm is investigated in detail. To the problem of the artifacts removal in real life EEG signal, both the online-and batch infomax algorithm are applied and compared. The experiment results show that the online infomax algorithm proposed in this paper has the good performance both in artifacts removal and convergence in time-varying mixing system
Coplanar waveguide feed linear tapered slot antenna

The authors present the design and performance of a linear tapered slot antenna with a coplanar waveguide feed. The measured radiation patterns of the antenna are linear with cross polarization levels 12 dB down in both E and H-plane. The return loss is below -20 dB over a bandwidth of 1.55 GHz. The measured gain of the antenna is 7 dBi at 9.2 GHz.<<ETX>>
Compact wideband bandpass filter with sharp selectivity using short-ended parallel-coupled-line-stub resonator

A compact wideband bandpass filter is presented in this paper. By loading the short-ended parallel-coupled-line-stub (PCLS) at the center of the uniform-impedance half-wavelength line, the tri-mode resonator is realized. Two transmission zeros, due to the PCLS, are generated at the lower and upper cut-off frequencies and sharp selectivity can be obtained. The short-ended PCLS resonator is theoretically analyzed and applied to design a bandpass filter with fractional bandwidths 45%, good in-band return loss (>12.2dB) and low insertion loss (0.9dB at the center frequency 4.0GHz).
Personal innovativeness and initial adoption of M-Commerce: Toward an integrated model

M-Commerce is playing an increasingly important role in our daily life, but we still do not know what factors contribute to user initial adoption of M-Commerce. Based on TAM, TPB and IDT, this paper presented an integrated M-Commerce initial adoption model, then represented an in-depth discussion on the mechanism that how personal innovativeness influence user initial adoption of M-Commerce. Data collected from 196 persons in the China were tested against the model. Results indicated perceived usefulness, perceived ease of use, perceived behavior control, subjective norm toward M-commerce are significantly attributed to personal innovativeness. Important implications for M-commerce promotion were also discussed.
Automatic Recognition of Books Based on Machine Learning

The content-based image recognition is a research focus in the field of computer vision. Machine learning especially deep learning has a great potential in the field of image recognition. This paper adopts the support vector machine algorithm and deep learning method convolutional neural network to recognize books in the digital image library and compares their performance. Experiments show that both methods used in this paper realize a fast and efficient image classification and help improve the intelligence of books retrieval.
Wireless extension mechanism and logic design for FPGA-based Ethernet Powerlink node

Real-time networks, such as industrial network, field bus and so on, have been becoming one vital component to develop large-scale and cooperative embedded systems. As one important branch, the wireless mode of realtime networks also raises more and more attentions in recent years since its conveniences to construct a flexible control system. Ethernet Powerlink is such a typical real-time industrial network protocol, and provides a master-slave, time-slot mechanism that can well avoid radio collisions. With the designed FPGA-based hardware node, in this paper, a new method to extend wireless capability of Powerlink is explored and described. Concretely, Powerlink architecture and especially its original mechanisms are analyzed at first. For effectively connecting OpenMAC module of Powerlink and RF module, an interface logic at MAC layer is introduced and is typically designed in a multiplexing mode with a dual-FIFO logic according to the limited resource on FPGA, some key designs and mechanisms of which are detailed later. Finally, all designed mechanisms and logics are implemented as an extension part of IP core of Powerlink in VHDL language, and the communication functions and performance of such extended protocol are verified.
Cloud Computing System Based on Trusted Computing Platform

Cloud computing provides people a way to share large mount of distributed resources belonging to different organizations. That is a good way to share many kinds of distributed resources, but it also makes security problems more complicate and more important for users than before. In this paper, we analyze some security requirements in cloud computing environment. Since the security problems both in software and hardware, we provided a method to build a trusted computing environment for cloud computing by integrating the trusted computing platform (TCP) into cloud computing system. We propose a new prototype system, in which cloud computing system is combined with Trusted Platform Support Service (TSS) and TSS is based on Trusted Platform Module (TPM). In this design, better effect can be obtained in authentication, role based access and data protection in cloud computing environment.
Two odds-radio-based text classification algorithms

Since 1990's, the exponential growth of theseWeb documents has led to a great deal of interestin developing efficient tools and software toassist users in finding relevant information. Textclassification has been proved to be useful inhelping organize and search text information onthe Web. Although there have been existed anumber of text classification algorithms, most ofthem are either inefficient or too complex. In thispaper we present two Odds-Radio-Based textclassification algorithms, which are called ORand TF*OR respectively. We have evaluated ouralgorithm on two text collections and compared itagainst k-NN and SVM. Experimental resultsshow that OR and TF*OR are competitive withk-NN and SVM. Furthermore, OR and TF*OR ismuch simpler and faster than them. The resultsalso indicate that it is not TF but relevancefactors derived from Odds Radio that play thedecisive role in document categorization.
A Study of Inter-Firm Network Impact Mechanism on Absorption Capacity under the Dynamic Environment

This paper propose and test a model of how inter-firm network effect firmpsilas absorptive capacity in a dynamic operating environment. Using data of manufacturing firms, the results indicate that the intensity of network has a positive impact on potential absorptive capacity, and the intensity of weak tie network are more important; the scale of weak tiespsila network has a positive impact on potential absorptive capacity; and the location of weak tiespsila network has a negative impact on potential absorptive capacity. The empirical results suggest that the potential absorptive capacity has mediating effects on the relationships between firm network and firmpsilas realized absorptive capacity. In addition, coordination knowledge integration mechanism has moderation effects on the relationships between firmpsilas potential absorptive capacity and realized absorptive capacity.