nils-herrmann/clean_scirepeval huggingface dataset:
Large area graphene layer synthesis

The large area graphene layer is synthesized by a conventional metal melting method (MMM). And we use the mechanism of diamond synthesis in liquid phase and produced graphene of about 5×7cm2. This promising process appears scalable for making device-sized graphene in the near future. This paper also presented many intriguing aspects related to the growth of large graphene. We also proposed a new hypothesis of graphene formation by the recrystallization of graphite in molten iron group alloys.
Research on the Evaluation Method for Enterprise Knowledge Management Performance Based on Triangular Fuzzy Number

To evaluate exactly the performance of knowledge management (KM) is an important part of the construction of enterprise knowledge management systems. Based on enterprise capital, a performance evaluation index system has designed by using intellectual capital, organization capital and market capital as subjects in this paper. In order to realize quantitative calculation for qualitative index, a fuzzy calculation method, that is triangular fuzzy number (TFN) evaluation method is proposed. Then the method’s theory and steps are discussed. Finally, the empirical study has been done on three IT enterprises, use TFN method to evaluate their KM performance, and some improvement suggestions are given based on evaluation results.
Argument-based negotiation strategy based on adaptive PBIL for resolving conflicts in supply chain collaboration

The multi-agent argument-based negotiation is used to resolve the conflicts in supply chain collaboration, and to change the preferences of negotiators in dynamic environment in order to enhance the agent's intelligence and adaptivity. We learn opponents' preferences by PBIL and modify PBIL's learning rate by adding environmental factor to improve PBIL's adaptivity. We verify the effectiveness of PBIL in negotiation and compare PBIL with adaptive PBIL by an example. The results show that PBIL could effectively resolve the conflicts in supply chain collaboration, adaptive PBIL could get a stable solution in dynamic environment and promote the supply chain collaboration.
A digital PLL with a multi-delay coarse-fine TDC

A 5GHz digital frequency synthesizer achieving a low noise for wireless RF application is presented. This architecture uses a multi-delay coarse-fine Time-to-Digital Converter (TDC) to achieve both the large detection range and fine resolution. A Digitally Controlled Oscillator (DCO) based on capacitive degeneration in LC-Tank is also implemented. The DCO achieves frequency quantization step of 300 Hz without any dithering. Simulated phase noise at 5 GHz carrier frequency is −125 and −151 dBc/Hz at 1 MHz and 20 MHz offset, respectively. The Digital phase-locked loop (DPLL) is realized in 90nm CMOS process and consumes 14mA from a 1.2V supply.
Combine user defined region-of-interest and spatial layout for image retrieval

Content-based image retrieval (CBIR) is one of the most active research areas. Many visual feature representations have been explored and many systems built. However, in most of current systems, only the global features such as overall color histogram and texture moments are used which ignore the actual composition of the image in terms of internal objects. Although relevance feedback was proposed (Rui and Huang 1998) to incrementally supply more information, this may fail due to the lack of higher-level information about what exactly was of interest. Since automatic segmentation of the region-of-interest (ROI) is not always reliable, human assistance is necessary. In this paper, a novel approach combining a user defined region-of-interest and spatial layout is proposed for CBIR. Better capture of the image object is achieved by the user rather than the computer. Therefore, more accurate relevance feedback is achieved and thus lends to a more powerful search engine.
Holographic Solar Energy Concentrator Using Angular Multiplexed and Iterative Recording Method

Holographic optical elements can be fabricated to concentrate the solar energy with no sun tracking system. Concentrated diffraction efficiency (CDE) for the holographic solar concentrator is suggested as a new efficiency calculation method. The exposure response of a monochromatic hologram recorded in photopolymer film is presented. The iterative exposure schedules at three different angles are chosen to optimize the uniformity of the CDE using angular multiplexed technique. The experimental results confirm that the angular multiplexing method and newly proposed iterative recording scheduling are appropriate for fabricating the holographic solar concentrator.
Distributed spinning frame monitor system based on DSP and PROFIBUS

In order to improve the management level, promote informationization and automation in textile enterprise, a spinning's monitor management system based on DSP and PROFIBUS is discussed in this article. By using field monitory system, production management system and server system to form three layers network architecture, connecting all computers from workshops (detect real-time computer) with computers from offices (monitor computer) through intranet, it can realize monitoring real-time and auto-control to the production process, trace dynamicly to the parameters. For illustration, there gives the detail design for the monitor system, discuss the architecture of network, the whole software design of the system and the key to design database. Empirical results show that it gives an approach for the textile enterprise to realize information and modernization.
One-Trip-Time based Congestion Control for Distributed Real-time Applications

The traditional loss based congestion control protocol is not suitable for media streaming. because the loss based congestion control can not limit the Round Trip Time and it is also too sensitive about one side congestion, while most ADSL links which often have an asymmetric bandwidth. So in this paper, we present a novel One-Way-Trip Time based congestion control protocol, and prove its performance by simulation experiments.
A Control System for the Duke Booster Synchrotron

The Duke Free Electron Laser Laboratory is developing a booster synchrotron to provide full energy injection into the Duke electron storage ring. In this paper, we describe the development of the control system for the booster. Requirements include the competing needs of simple and reliable turn-key operation for the machine as a booster; and the sophistication and flexibility of operation of the machine as a storage ring for commissioning, machine studies and as a light source. To simplify operations and machine studies, the high level controls will present the system in terms of the physics quantities of the accelerator, allowing a tight integration between the physics model and the low level hardware control, as we have previously implemented for the Duke storage ring.
The dynamic instability of elastic-plastic plate duo to impact loading

Anomalous behaviors of structural dynamic response is an nonlinear behaviors. By ‘anomalous’ here is meant permanent deflection in the direction opposite to direction of the applied loading rather than in its direction. In this paper the full numerical investigations with the circle plate to short pulse loading have been presented with finite element scheme. The results indicate that With laoding increasing, the deflection of plate shows different response model. Anomalous is influenced by structural paramaters, constrains, loading, numerical analysis technique and the final response model of the plate exhibits sensitivities with respect to them small changes.
Accelerator archeology-the resurrection of the Stanford Mark III electron linac at Duke

In the early 1960s, the Mark III accelerator at the Stanford High Energy Physics Laboratory was used as the prototype test-bed for the SLAC two-mile accelerator. In the mid 1980s, the accelerator was dismantled and a large part of it was transported to the Duke University Free-Electron Laser Laboratory to form the basis of the injector for the 1-GeV Duke Storage Ring. The plan was to use the original accelerator sections and some RF equipment with new magnetic optics, vacuum system, gun and a modern control system. The first 295-MeV portion of the linac is now operational at Duke. The linac currently consists of eleven sections from the old linac with a single-cell RF gun. Our guiding principal has been one of economy and simplicity. We have not attempted to restore the accelerator to its original form, but have added modem components where necessary. We discuss some of the more interesting features of the linac, and how we have given new life to this venerable machine here at Duke.
A data-centric executable modeling approach for system-of-systems architecture

A data-centric executable modeling approach is proposed for system-of-Systems (SoS) architecture by taking full advantage of the Department of Defense Architecture Framework (DoDAF) Meta-model (DM2), which provides more flexibility and adaptability to the automated construction of executable models directly from the architectural data. Firstly, the architectural data meta-model is established to guide architectural data modeling of core data elements and associations in DM2 as the common and consistent data dictionary for architecture modeling, and the executable formalism meta-model is designed to formally define executable models. Then, the mapping rules between both meta-models are defined as the common transformation specification regardless of what modeling language or methodology is employed in developing architectural descriptions. Finally, XML (eXtensible Markup Language) technologies are discussed to facilitate the automated transformation of executable models from architectural instance data. Colored Petri Net (CPN) is used as an illustrative executable formalism in the discussion of the proposed approach.
Study of position sensorless control of PMSM based on MRAS

This paper built the adjustable current model which uses the PMSM itself as a reference model with the parameter of speed of revolution adjustable. The self-adaptive law based on Popov hyperstability theory was deduced. The control scheme of PMSM Sensorless control technology based on MRAS was built. The control technology was simulated with Matlab/Simulink softeware. As the results of the simulation proved, this control technology is simple and effective, with considerable high precision in speed estimation, and also has nice steady state response and transient state response performance, besides, it is also capable of anti-jamming with load interfere.
Query-Driven Locally Adaptive Fisher Faces and Expert-Model for Face Recognition

We present a novel expert-model of Query-Driven Locally Adaptive (QDLA) Fisher faces for robust face recognition. For each query face, the proposed method first fits local Fisher models with different appearances. A hybrid expert model then integrates these local models and combines the classification results based on the estimated error rate for each local model. This approach addresses the large size recognition problem, where many local variations can not be adequately handled by a single global model in a single appearance space. To speed up the query process, Locality Sensitive Hash (LSH) is applied for fast nearest neighbor search. Experiments demonstrate the approach to be effective, robust, and fast for large size, multi-class, and multi-variance data sets.
Research on the Model of Knowledge Audit

Knowledge management (KM) system includes KM strategic planning, technique, culture foundation, knowledge resource, process of knowledge transformation and exterior circumstance. Whether the definitude of KM stratagem or the early requirement design of KM implement, it must to evaluate the KM performance, to audit the KM requirement and program and to fulfill the KM process positive and feedback closed loop system. Organizations can set down KM strategy and programming and implement effectively no other than understanding its own knowledge stock, processes and requirement; can optimize KM no other than timely evaluating and auditing KM. This article introduce the concept of knowledge capital which root in intellectual capital as the object of the knowledge audit, thus the research fruit of intellectual capital could be used to study knowledge audit. Based on that, this article put forwards the integrity conception of KM audit, constitutes a conception model of knowledge audit and presents the workflow and currently methods of implementing knowledge audit.
Knowledge Discovery of Service Satisfaction Based on Text Analysis of Critical Incident Dialogues and Clustering Methods

Text mining of consumer's dialogues regarding their service experiences provides a direct and unbiased feedback to service providers. This research proposes an analysis process to analyze unstructured input from consumer dialogues. The goal is to apply the critical incident and text mining methods to discover factors that contribute to customer satisfaction and dissatisfaction. The critical incident method is used to construct an open-ended questionnaire to collect customer's positive and negative opinions toward the service provided. Valid and reliable text mining techniques are used to cluster significant text to help analyze incidents that customers care about. A case study of consumers riding the Kaohsiung Mass Rapid Transit System (KMRT) was cased to evaluate the proposed analysis process. Based on dialogues collected from the open-ended questionnaires, the analysis process extracts key phrases related to consumer's best and worst service experiences, creates significant dialogue clusters, and derives meaningful trends, baselines, and interpretations of consumer satisfaction and dissatisfaction. The results of this case study can be used as a basis for building more complete analytical methods to understand consumer experiences and provide strategic feedback for service providers.
Motion from blur

Motion blur retains some information about motion, based on which motion may be recovered from blurred images. This is a difficult problem, as the situations of motion blur can be quite complicated, such as they may be space-variant, nonlinear, and local. This paper addresses a very challenging problem: can we recover motion blindly from a single motion-blurred image? A major contribution of this paper is a new finding of an elegant motion blur constraint. Exhibiting a very similar mathematical form as the optical flow constraint, this linear constraint applies locally to pixels in the image. Therefore, a number of challenging problems can be addressed, including estimating global affine motion blur, estimating global rotational motion blur, estimating and segmenting multiple motion blur, and estimating nonparametric motion blur field. Extensive experiments on blur estimation and image deblurring on both synthesized and real data demonstrate the accuracy and general applicability of the proposed approach.
Mining discriminative 3D Poselet for cross-view action recognition

This paper presents a novel approach to cross-view action recognition. Traditional cross-view action recognition methods typically rely on local appearance/motion features. In this paper, we take advantage of the recent developments of depth cameras to build a more discriminative cross-view action representation. In this representation, an action is characterized by the spatio-temporal configuration of 3D Poselets, which are discriminatively discovered with a novel Poselet mining algorithm and can be detected with view-invariant 3D Poselet detectors. The Kinect skeleton is employed to facilitate the 3D Poselet mining and 3D Poselet detectors learning, but the recognition is solely based on 2D video input. Extensive experiments have demonstrated that this new action representation significantly improves the accuracy and robustness for cross-view action recognition.
An enhanced smith predictor based robust control over networked control system with random time delays

In this paper, a newly robust control scheme that contains an enhanced smith predictor is proposed to adaptively estimate and identify control law on line to reply to the time-varying network induced delays. A control sequence that contains a series of control signals is generated from a queue of possible future time delays at the controller node and the final option on which control signal is selected is given to the actuator according to the actual transmission delay. Two buffers are used respectively at the controller node and actuator node, which can transform the continuous time-varying delays into several discrete values and make sure time delays exactly predicted. Finally the simulation results demonstrate the effectiveness of the proposed methods to guarantee the robust performance of networked control system with random time-varying delay.
Highly Sensitive Optical Detector for Precision Measurement of Coulomb Coupling Strength Based on a Double-Oscillator Optomechanical System

An optomechanical system combining a Coulomb interaction degree of freedom provides a unique platform for precision measurement of electrical charges via the optomechanically induced transparency. A new property of a second-order sideband in a double-oscillator optomechanical system is investigated beyond the conventional linearized description of optomechanical interaction. The results show that the single-second-order sideband will split into the double-second-order sideband under a weak driving field, and the separation of the split second-order sideband shows a strong dependence on the Coulomb coupling strength. Based on the current experimental conditions, such a Coulomb-interaction-induced split of the second-order sideband may enable an all-optical sensor for precision measurement of the Coulomb coupling strength with lower power.
Learning Inhomogeneous FRAME Models for Object Patterns

We investigate an inhomogeneous version of the FRAME (Filters, Random field, And Maximum Entropy) model and apply it to modeling object patterns. The inhomogeneous FRAME is a non-stationary Markov random field model that reproduces the observed marginal distributions or statistics of filter responses at all the different locations, scales and orientations. Our experiments show that the inhomogeneous FRAME model is capable of generating a wide variety of object patterns in natural images. We then propose a sparsified version of the inhomogeneous FRAME model where the model reproduces observed statistical properties of filter responses at a small number of selected locations, scales and orientations. We propose to select these locations, scales and orientations by a shared sparse coding scheme, and we explore the connection between the sparse FRAME model and the linear additive sparse coding model. Our experiments show that it is possible to learn sparse FRAME models in unsupervised fashion and the learned models are useful for object classification.
Design of Experiment Method for Microsatellite System Simulation and Optimization

A system optimization framework based on design of experiment (DOE) and simulation is proposed. Simulation is effective in the optimization of many complex systems, however, it is time consuming and tough. DOE can reduce the number of test cases drastically while ensuring input combination is of wise coverage of design space. A framework incorporating simulation and DOE is proposed, which provides a methodology to deal with optimization problem. It contains two key technologies: Latin hypercube design and surrogate model optimization, which are all detailed in paper. A problem of micro satellite system optimization is proposed to illustrate the correctness and effectiveness of the framework. The final results are listed. Also effect of each design variable on the system performance is analyzed.
Information analysis and decision system for tax revenue based on Data Warehouse

Tax information system has been developed for many years. Most of the tax management systems that are using now belong to services-faced system. After being used many years, there accumulated a lot of historical data, but most of this data are decentral, static and low aposteriori. This data hasn't been filtered, abstracted, analyzed and predict. They can't supply information support to the leader and has no function of tracking and monitoring to the changing of tax source. In order to solve the problem that has been existed, On the basis of analyzing the taxation information management system, this paper introduces the structure of a tax information decision and analysis system based on data warehouse and the OLAP, discusses the conceptions, techniques and developing prospect of Date Warehouse and OLAP, introduces a method for developing OLAP taking a certain tax- checking system, and discusses the integral frame, functional modules and technical difficulties of this system. It has been used in HeBei Taxation Bureau, practice has proved that it's useful to improve the efficiency of tax operation.
The integrated process of project risk management based on influence diagrams

We show how to apply influence diagrams theory to the whole process of the project risk management, which including risk identification, risk assessment, risk control and risk documentation. First, we propose a frame to construct a graphical risk influence diagram and two ways to construct the functional and numerical risk influence diagram efficiently. Next, we summarize two ways to calculate the risk probability and the project expectation value. Thirdly, we argue to utilize the value of perfect control and value of perfect information to control the project risk. Last, the project risk influence diagram is used as a framework to document the project risk.
Study on Modeling of Troposcatter Communication and MRC in Correlated Channel by Matlab

A modeling method of troposcatter channel and maximal-ratio combining (MRC) were analyzed by Matlab. Based on the theory of sum of sinusoids (SOS), a kind of Rayleigh channel simulation model is established, and the corresponding distributing behaviors of troposcatter channel are gotten. On the basis of channel model, the channel correlation is discussed, and the bit error rate expression of MRC combing with k-branch diversity is deduced fast in correlated channel. The bit error rate succinct formula of 2-branch correlated channel MRC is deduced by the behaviors of complementary error functions. Simulation results show that the introduced method not only feasibility but also is easy to realize, and it can efficient evaluate the performance of diversity reception system.
Spatially Adaptive Block-Based Super-Resolution

Super-resolution technology provides an effective way to increase image resolution by incorporating additional information from successive input images or training samples. Various super-resolution algorithms have been proposed based on different assumptions, and their relative performances can differ in regions of different characteristics within a single image. Based on this observation, an adaptive algorithm is proposed in this paper to integrate a higher level image classification task and a lower level super-resolution process, in which we incorporate reconstruction-based super-resolution algorithms, single-image enhancement, and image/video classification into a single comprehensive framework. The target high-resolution image plane is divided into adaptive-sized blocks, and different suitable super-resolution algorithms are automatically selected for the blocks. Then, a deblocking process is applied to reduce block edge artifacts. A new benchmark is also utilized to measure the performance of super-resolution algorithms. Experimental results with real-life videos indicate encouraging improvements with our method.