nils-herrmann/clean_scirepeval huggingface dataset:
A Target-Predicting DR Algorithm in ROIA Cloud Platform

Cloud computing has attracted widespread attentions in recent years. Real-time Online Interactive Application (ROIA) is also an emerging distributed application. And the research on cloud ROIA is just beginning. Traditionally, Dead Reckoning (DR) algorithm will be used to reduce network traffic and mitigate consistency problem caused by network delay in ROIA. But traditional DR algorithm is mostly based on the classic formula of physics to predict, without taking the influence of the user's goal under the different situations into account, so there are some limitations. This paper proposes an improved DR algorithm based on target-predicting in a cloud platform for ROIA, and elaborates the basic idea of the improved algorithm and the computational model formula, and then carries out a simulation experiment. The analyses of the simulation results show that the improved algorithm is superior to traditional one. And the result of this study sheds a little light to the related further research on cloud ROIA.
Stability analysis and design of fuzzy control systems based on interval approach

Based on the equivalent representation of interval matrix, the stability problem of fuzzy control system is converted into the robust stability problem of linear system with time-varying uncertainty. A necessary and sufficient condition for the quadratic stability of T-S fuzzy system is given, then, the controller design procedure is shown. In the case that the input matrices are identical, a necessary and sufficient condition for the quadratic stabilizability of the system is obtained, the fuzzy controller can be constructed directly. Simulation result shows the effectiveness and advantage of the proposed method.
An Improved MAD Prediction Method for H.264 Rate Control

H.264 is becoming the worldwide digital video standard for consumer electronics and personal computers. In particular, H.264 has already been selected as a key compression codec for the next generation of optical disc formats, HD-DVD and Blue-ray disc. Rate Control(RC) plays an important role in allocating H.264 bits to adapt to the actual channel bandwidth and meanwhile achieve high-quality reconstructed images. In this paper, a novel achievement to improve the precision of Mean Absolute Difference (MAD) prediction in H.264/AVC rate control is presented, which is different from the current standardized RC scheme (JVT-G012) in H.264 that uses a simple linear model, instead an formula is developed to dynamically calculate a ratio factor in the direct mean absolute difference method to optimize the bit allocation. Experimental results show that our method both improves the MAD prediction precision and decrease PSNR fluctuation between frames with less computing complexity.
Temperature gradient effect on the transition process of Taylor-Couette flow

The flow between two concentric cylinders with the inner cylinder rotating with an imposed radial temperature gradient was studied using a digital particle image velocimetry method. Two outer cylinders without and with slits number of 18 are considered, and the radius ratio and aspect ratio of each models were 0.825 and 48, respectively. The heating film wrapped around the inner cylinder was used for generating the constant heat flux and we ensured the constant temperature condition at the outer space of the outer cylinder. The flow regime of Taylor-Couette flow was studied by increasing Reynolds number. The results showed the existence of slits accelerated the transition process in both isothermal and non-isothermal conditions. It is also shown that the presence of temperature gradient increased the flow instability obviously as the Richardson number larger than 0.0045.
An Innovation Approach to $H_{\infty }$ Fixed-Lag Smoothing for Descriptor Systems

The finite horizon Hinfin fixed-lag smoothing problem for linear descriptor systems is considered and a sufficient condition for the existence of an Hinfin smoother is derived. The key approach applied for deriving the Hinfin fixed-lag smoother is the re-organization innovation analysis in Krein space. Under the Krein space, the Hinfin fixed-lag smoothing is converted into an H2 estimation problem for the system with current and delayed measurements. By using innovation re-organization approach, we show that the H2 estimation with delayed measurements is transformed into a problem of delay-free measurements and thus a simple solution to Hinfin smoothing is given. At last, an illustrative example shows the efficiency of the proposed estimator
Experiment Study on Secondary Startup of EGSB Reactor

After the EGSB (expanded granular sludge bed) reactor had been stopped for several months, the secondary startup research was taken place, and we have achieved the rules of EGSB reactor's startup and running. It is observed that we can identify when the secondary startup has been finished and whether the reactor could run regularly was according to the running efficiency conditions, i.e. whether organic loading of the reactor can fulfill the requirements. Aiming at original conditions, we could increase the COD removal efficiency obviously by controlling the inlet water COD suitably, and the biological activity of granular sludge had been resumed ultimately. When the secondary startup of EGSB reactor had been finished completely, the characteristics of granular sludge had become excellent, and the EGSB reactor had been provided with the strong capacity against shocking organic loading, so that the EGSB reactor could achieve the stable and high COD removal efficiency.
Application of model predictive control in active distribution network

Active distribution network is an effective solution to realize the optimizing operation of integrating large-scale distributed energy into distribution network. The intermittency of distributed energy makes the traditional PI control dissatisfying the requirement on the active distribution network control, this paper proposed a method based on model predictive control to apply to the coordination control of active distribution network according to the multi-layer coordination control characteristics of the active distribution network. And uses the dynamic matrix control algorithm to simulate the regional autonomous control in active distribution network with Matlab/Simulink, the simulation results show the effectiveness of the model predictive control method.
A boosting method to detect noisy data

Noisy data is inherent in the field of data mining. If prior knowledge of such data was available, it would be a simple process to remove or account for noise and improve model robustness. Unfortunately, in the majority of learning situations, the presence of underlying noise is suspected but difficult to detect. Ensemble classification techniques such as bagging, boosting and arcing algorithms have received much attention in recent literature. Such techniques have been shown to lead to reduced classification error on unseen cases, and this paper demonstrates that they may also be employed as noise detectors. In this paper, a brief overview of ensemble methods is presented, and a boosting method based on instance weights and attribute weights information gain is proposed to make boosting method useful for detecting noisy data. The result of experiments on one city endowment insurance database shows this to be a successful approach.
A Novel Content-Based Side-Information Generation Approach for Distributed Video Coding

the performance of Distributed Video Coding (DVC) has a great reliance on the accuracy of side-information, which is estimated according to the intra-coded key frames that are assumed to be reconstructed lossless in this paper. A novel content-based side-information generation approach is proposed to improve the Wyner-Ziv frame estimation. First, the motion features and texture features are extracted and used to segment the side-information into different regions with different confidence. Then the low-confident regions’ side information could be corrected by the information obtained from the adjacent high-confident regions. At last, an adaptive block (AB) technique is implemented to improve performance on the base of the results from the content-based approach. Experiments illustrated that the average PSNR of side-information obtained by the content-based side-information approach with adaptive block is about 0.9dB higher the cases without it.
Modified thermal circuit model for distribution transformers in three-phase unbalanced operation

The three-phase unbalanced operation of distribution transformer is unavoidable in practice. Under this situation, accidents arising from internal overheating occur easily. Therefore, the hot spot temperature analysis and calculation is of great concern. Thermal circuit model method is widely used to calculate the hot spot temperature of power transformer for the advantages of simple calculation and good accuracy. However, the existing thermal circuit model is a kind of single-phase model, ignoring the interphase thermal coupling effect. To make the model suitable for distribution transformer, we modify the single-phase thermal circuit model by analyzing the internal heat source, reconsidering the influence of environment factors, and implementing the temperature-rising test to calculate the interphase thermal coupling coefficient. The thermal circuit model presented in this paper can accurately calculate the hot spot temperature of distribution transformers both in balanced operating and unbalanced operating. This model can provide a reference for the safe operation of distribution transformers.
Relation Extraction from Wikipedia Leveraging Intrinsic Patterns

Enormous efforts of human volunteers have made Wikipedia become a treasure of textual knowledge. Relation extraction that aims at extracting structured knowledge in the unstructured texts in Wikipedia is an appealing but quite challenging problem because it's hard for machines to understand plain texts. Existing methods are not effective enough because they understand relation types in textual level without exploiting knowledge behind plain texts. In this paper, we propose a novel framework called Athena leveraging Intrinsic Patterns which are patterns that can understand relation types in semantic level to solve this problem. Extensive experiments show that Athena significantly outperforms existing methods.
LMI-based D-stabilization for a class of networked control systems via dynamic output feedback

This paper is concerned with the design problem of D - stabilizing dynamic output feedback controllers for a class of discrete - time systems with time - varying network - induced delays. By separating the delays into several small units, the D - stabilization problem for the original networked control system is equivalently transferred into the stabilization problem for a delay - free switching system with arbitrary switching. Then, a sufficient condition for the D-stability of the closed - loop system is derived in terms of linear matrix inequalities (LMIs), and a construction of the desired controllers which guarantee that all the closed - loop poles remain inside the specified disk D (α, r) is provided. Finally, an illustrative example is given to demonstrate the effectiveness of the proposed results.
The control system research of paving machine for the modified asphalt coiled material

The modified asphalt coiled material is widely used as waterproofs in the construction of highway, railway and other engineering. The asphalt is usually paved by manual work. The quality of paving is easily affected by conditions such as the weather and the worker's skill. However the working condition is very bad for the paving worker. It is necessary to research a paving machine in order to improve the paving quality and working conditions. A new paving machine for the modified asphalt coiled material is designed in this paper. Some anti-interference measures were adopted in order to adapt the bad environments. For example, PLC is used as the controller, AC servo motor and stepping motor is used as executive component. Photoelectrical coupling is used in circuit connection. This new paving machine two controls modes. One is manual control mode. The other is automatic mode. The worker controls the paving machine through operate the control panel in manual mode. The PLC control the direction and speed of the machine in the automatic mode with the photosensor seek the position of ground markers and send the signal to PLC. The proportional controlling means and the backlash compensation were adopted in this paper in order to achieve accuracy control. After numerous experiments, the paving machine can adapt to the construction requirements.
A contention-oriented node sleeping MAC protocol for WBAN

The wireless body area network (WBAN) is a new-type wireless sensor network which has a steep demand for improving energy efficiency and reducing packet delay. However, in a multi-priority environment, the current IEEE Std. 802.15.6 MAC protocol for WBAN may result in excess transmission delay and power consumption due to the selfishness of high-priority sensor nodes. To overcome the deficiency, in this paper, a contention-oriented node sleeping MAC protocol is proposed. The MAC protocol utilizes a contention orientation mechanism between different contention levels to achieve a fair resource allocation. Furthermore, the sleeping scheme of redundant nodes yields energy efficiency. Finally, simulation results show that our proposed protocol outperforms 802.15.6 MAC, AD-MAC as well as DTD-MAC protocols in terms of both packet delay and energy efficiency.
An engineering applicable dynamic equivalent method for large-scale AC system connected to VSC-HVDC

To test the software and hardware functions of VSC-HVDC control and protection device, an efficient way is to carry out the hardware-in-loop (HIL) tests and setup a detailed AC/DC transient model in real-time digital simulator. However, taking into account capability of the simulator and details of the simulation, the large scale AC network outside the converters should be simplified and equivalent. In this paper, based on a principle that the short circuit levels should be consistent before and after equivalent, a new equivalent method to calculate the equivalent generator parameters for large scale AC power system is proposed. Firstly, rated capacity and access reactance of equivalent generators are calculated according to equivalent bus's short-current. Secondly, a new criterion is provided based on short-current contribution ratio, according to short-current and short-reactance of the equivalent bus. Finally, this criterion is used to choose dominate controller of the equivalent generators, and calculate controller parameters. At the same time, the Ward method is improved. The negative line resistance and generator active output are corrected. Finally, the proposed method is used for Xiamen equivalent grid which derived from a large scale of “Sanhua” China power grids and validated by comparison of the bus voltages, power flows, short-circuit levels and the dynamic response characteristics of the equivalent network, the validity of the proposed method is proved.
Distribution network reconfiguration based on ant colony system algorithm

In this paper, a novel algorithm based on ant colony system algorithm (ACSA) is presented which is used for the reconfiguration of distribution network in order to reduce the power energy losses under normal operation conditions. Combined with the features of distribution network, it applies the ant colony algorithm (ACA) to solve the problem of distribution network reconfiguration. The corresponding mathematical models are established and corresponding algorithms are given. An example of network reconfiguration is given which adopts the network reconfiguration mathematical mode of ACSA for power loss reduction. The main drawbacks of the basic ACA are the slow convergence and stagnation behavior, so some new measures to overcome these shortcomings are proposed in this paper.
Research on innovation of initiative service faced on automobile classified customers

According to the behavioral features of automobile customer, the author uses the ID3 algorithm in the data mining. First, classify the automobile customers into groups, and then form many smaller customer groups with their own common features. Secondly, aiming at every customer group, we take ID3 algorithm to build service-item trees and produce the service principle according to the request of different customer groups. Based on the service principle and specific group's feature, we build service scheme, Service provider then provide customers with perfect service initiatively according to the service scheme, achieving service innovation. Under new service scheme, develop new customers, stabilize the old customers, and improve the loyalty of the customers to attain a situation benefitting to both sides.
Exponential stability of a class of switched fuzzy delay systems

This paper considers the exponential stability problem for a class of switched fuzzy (SF) delay systems. A new method based on a switching technique is presented to solve this problem. A switched fuzzy delay system, which differs from existing ones, is firstly employed to describe a nonlinear system, and then some new concepts about the innovated SF delay system are introduced. Usually, this class of systems can precisely describe continuous and discrete dynamics as well as their interactions in the complex real-world systems. Next, based on the scheme of average dwell time, the switched state feedback controllers for the proposed SF delay systems are built to ensure that the relevant closed-loop system is exponentially stable. A bound on the average dwell time guaranteeing exponential stability can be explicitly calculated via the solutions of some linear matrix inequalities (LMIs). Finally, various comparisons of the elaborated examples are conducted to demonstrate the effectiveness of the proposed control design approach. All results illustrate good control performances as desired.
Hybrid control and steering logic for the CMG-based spacecraft attitude control system

Considering the momentum singularity characteristics, an integrated control strategy for the control moment gyros based attitude control systems is proposed, in which the angular momentum conservation between the spacecraft and the CMG is utilized to improved the system performance both in the closed loop responsiveness and the singularity controllability. The moment exchange capability of the CMGs can be fully developed by the control logic under normal operation, while the exchange space is specifically restrained to guarantee the effectiveness of the singularity avoidance steering when gimbal lock occurs. An online uncertainty identification method based on the momentum exchange property is applied in the hybrid control logic to improve the robustness of the system for the first place, and the remaining uncertainty is further handled by an adaptive control law. Numerical simulations for the practical agile spacecraft maneuvering are conducted to verify the effectiveness of the proposed algorithms.
A stochastic model for cascading failures in smart grid under cyber attack

The coupling of power systems with cyber networks poses security issues that may threaten the safety and robustness of power systems. In this paper, by combining stochastic process with a state transition description, a stochastic model is presented for describing cascading failure in a cyber-coupled smart grid. A dedicated algorithm is developed to simulate the dynamic profile of the cascading failures, with consideration of the effect of power overloading, malware contagion and interdependency between the power grid and cyber network. Stimulation results on two test cases show that the dynamic profile of the cascading failures in the coupled system displays a “staircase-like” pattern, which can be interpreted as a combined feature of the typical step propagation profile triggered repeatedly by cyber attacks due to network coupling. Furthermore, compared with the isolated power system without coupling cyber network, both the extent and rapidity of power blackouts were intensified by the cyber coupling especially under the cyber attack.
Influence Analysis Based Expert Finding Model and Its Applications in Enterprise Social Network

In this paper, we propose a novel model for finding experts on a given topic using social influence analysis in enterprise social network. In enterprise social networks, employees usually talk about some topics relevant to their tasks. With the integration of social technology in BPM (Business Process Management), more expertise characteristics are reflected by their actions in social networks. Social networks became an important place for sharing expertise. We explore the potential of enterprise social networks, such as Yammer and IBM Connections, as a source of expertise evidence. In this work, we utilized influence analysis approach to find experts in enterprise social network. Generally, not all experts have the habit of sharing their expertise in social networks. So expert finding approaches, such as simply using link analysis, are of limited use. Our approach can address this problem. The experimental results show that the proposed approach can find real experts, not just managers with higher influence. Empirical results have also been presented to demonstrate the effectiveness of the proposed models.
System performance of the upgraded POST

POST (POrtable Submillimeter Telescope) is a submillimeter telescope working in the 500 GHz band. The antenna is a dual-offset Cassegrain type with a diameter of 30 cm. Here we present its performance including the receiver noise temperature, RF noise temperature and far-field antenna beam pattern measured at 462 GHz and 493 GHz respectively. Antenna pointing accuracy is also evaluated. Detailed measurement results will be presented.
Managing location stream using moving object database

Advances in wireless Internet and mobile computing require a new service model for location aware services to support push services and personalization services based on mobility patterns of mobile users. This paper presents a prototype of CAMEL (Continuous, Active Monitor Engine for Location-based Services), a high performance location stream engine to manage large numbers of moving objects in support of intelligent location aware services. We introduce the location model employed by CAMEL, the component architecture and key components of CAMEL, including a Database component, Location Listener, Query Engine, Location Filter, Trigger Handler and Data Server. Also we present an enhanced processing algorithm using Max-Velocity constraint for improving performance of Binary Moving Object Trigger.
Improved hybrid SiGe HBT class-AB power amplifier efficiency using varactor-based tunable matching networks

This paper presents a 1.8GHz prototype class-AB power amplifier using a QUBIC4G (SiGe, f/sub t/ = 40GHz) handset device with adaptive in- and output matching networks. The realized amplifier provides: 13dB gain, 28 dBm output power, with an efficiency greater than 33-51% over a 10dB output power control range.
A novel method for automatic 2D-to-3D video conversion

In this paper, we propose an efficient scheme to automatically convert existing 2D videos to 3D ones. The proposed method extracts motion information from two consecutive frames to estimate depth map for each of them. In the method, we first develop a region-based Graph cut method to fast and accurately perform motion segmentation, which is robust to large interframe motions. Then, a depth assigning step for the segments is conducted to obtain a smooth depth map for each frame. Experimental results on standard testing sequences demonstrate that our scheme achieves accurate motion segmentation and accordingly smooth depth map.