nils-herrmann/clean_scirepeval huggingface dataset:
Energy-Efficient Video Transmission Scheduling for Wireless Peer-to-Peer Live Streaming

The Peer-to-Peer (P2P) streaming has shown as an effective solution for wireline video applications, while for the wireless video streaming applications, the limited radio resource and battery energy are the main constraints on the way of P2P applications. An important issue in live video streaming quality of service is to avoid playback buffer underflow, and a challenge from wireless applications is the desire of energy efficiency. The problem we try to solve is how to utilize P2P schemes in video streaming and schedule the video transmission among peers to minimize the "freeze-ups" in playback caused by buffer underflow. In this work, we propose energy-efficient algorithm for the video transmission scheduling in wireless P2P live streaming system, to minimize the playback freeze-ups among peers. Further the algorithm is extended to two scenarios: peers' reluctance of consuming battery energy and allowing overhearing, with alternative energy-efficient algorithms proposed for the second scenario. Numerical results show the effectiveness of the proposed algorithms. The results also demonstrate that peers' selfishness may reduce the energy efficiency, but allowing overhearing could increase energy efficiency.
A Study about the Evaluation of Beauty of the Body Type of Female Students in College

provide referential comprehensive model for evaluation of beauty of the body type of female students in college.  basing on the test data of series of body shape indicators of female students in college aged 18 to 23 and the subjective ratings of their beauty of body type by teachers, use statistics analysis to select typical indicators and build the mathematical model of evaluation of beauty of the body type of female students in college. Our research methods include searching documentations, experimenting and statistics analyzing. Then do t test between the composite score calculated by the model and the subjective ratings by teachers.  The composite score calculated by the model and the subjective ratings by teachers have little difference, P>0.05.  the evaluating model of beauty of the body type of female students in college built by this research gives a scientific, rational and applicable evaluation for beauty of the body type of female students in college aged 18 to 23.
Calligraphy Imitation System Based on Virtual Brush and Scale-Invariant Feature Transform

Developing a calligraphy imitation system, for example, based on the Android OS, is significant to the heritage of Chinese culture, especially for the Chinese calligraphy lovers or the beginning learner. In this paper, we proposed a calligraphy imitation system based on a virtual brush and scale-invariant feature transform (SIFT). According to the movement rate and strength of users finger touching on the screen of mobile phone, we can simulate a specified Chinese character with the virtual brush. Meanwhile, the SIFT is employed to train the feature library of a large number of Chinese characters. And then, we take advantage of the photograph method or virtual brush to obtain an imitated calligraphy character. By means of SIFT matching the feature library, the basic information of the imitated characters can be acquired, such as dynasty, calligrapher, character font, source, etc. The experiment results indicate that this system is able to imitate the Chinese characters exactly and match the accurate images efficiently.
Personalizing Web Page Recommendation via Collaborative Filtering and Topic-Aware Markov Model

Web-page recommendation is to predict the next request of pages that Web users are potentially interested in when surfing the Web. This technique can guide Web users to find more useful pages without asking for them explicitly and has attracted much attention in the community of Web mining. However, few studies on Web page recommendation consider personalization, which is an indispensable feature to meet various preferences of users. In this paper, we propose a personalized Web page recommendation model called PIGEON (abbr. for PersonalIzed web paGe rEcommendatiON) via collaborative filtering and a topic-aware Markov model. We propose a graph-based iteration algorithm to discover users' interested topics, based on which user similarities are measured. To recommend topically coherent pages, we propose a topic-aware Markov model to learn users' navigation patterns which capture both temporal and topical relevance of pages. A thorough experimental evaluation conducted on a large real dataset demonstrates PIGEON's effectiveness and efficiency.
A Robust Transform Domain Narrowband Interference Suppression Technique in Wireless Communications

In this paper, we propose a robust narrowband interference excision technique in wireless communications based on modulated lapped biorthogonal transform (MLBT), including the Malvar's MLBT and the MLBT constructed by Matviyenko's optimized window. First, we study the bit error rate (BER) performance of the MLBT-based exciser in direct sequence spread spectrum (DSSS) system theoretically. Then we study the application of MLBT to narrowband interference suppression in orthogonal frequency division multiplexing spread spectrum (OFDM-SS) and multiband (MB)-OFDM-based ultra wideband (UWB) communications by simulations. Simulation results show that the Matviyenko-MLBT-based narrowband excision technique has the improved BER performance and increased robustness with respect to the interference frequency offset relative to the modulated lapped transform (MLT)-based technique in DSSS. It is also superior to the fast Fourier transform (FFT) and the MLT-based interference suppression technique in OFDM-SS and MB-OFDM-based UWB communications.
Contextual ranking of query results with incomplete preferences

Context-aware database is frequently used in user-centric applications. The users normally tend to express their preferences through comparisons. For example, Bob prefers Cornell to USC. Because the users only compare a small proportion of the products under difference contexts, “incomplete” preferences are a common occurrence. We propose a ranking approach which can contextually rank the query results when the users preferences are incomplete. We empirically evaluate the practical effectiveness of our method.
Study on adaptive distance protection using multi-agent technology

This paper presents the study of adaptive distance protection using multi-agent technology. The proposed distance protection system is realized with a layered and distributed structure based on multi-agent technology, and it is capable of performing beyond the traditional function. Intelligent algorithms based on data collected locally or shared with other devices can be processed, and adaptive protection function can be achieved. Simulations are used to illustrate the proposed methods to distance protection function. Preliminary results show that the adaptive distance protection is capable of improving performance of traditional protection system
Light Reference Video Quality Estimation with Embedding of Compact Features

One key issue in the content delivery network service is efficient and effective video quality assessment. Yet the legacy method obtaining the results via detailed calculation based on the original sequence or subjective experiments which lacks efficiency. In this work, we developed a compact feature based solution that allows for on-demand quality assessment with limited light references. Compact feature subspace embedding and SVM classifiers are trained to derive Quality of Experience (QoE) labels from the combination of the original and corresponding reconstructed compact features. Overhead in computation complexity and communication cost is minimum. Simulation results demonstrated the robustness and universality of the proposed solution.
Loss Test for a 5-m YBCO Cable Sample of the 22.9-kV KEPCO System Under Grid Operation

We have operated the 22.9-kV high temperature superconductor cable system installed at Icheon Substation of Korea Electric Power Corporation (KEPCO), which consists of a conductor and a shield using YBCO-NiW wires. We prepared the same 5-m cable sample as the Icheon Substation in order to understand its ac loss characteristic. Especially, the contact resistance between copper current leads and YBCO wires was minimized through the increased soldering surface between them. Besides, four voltage leads are attached to both the conductor and the shield with an equal angle of 90°. Under ac transport current, which was supplied to the conductor and shield in opposite direction, losses of the 5-m sample were tested for various contact positions of voltage leads, frequencies, and transport periods. The result shows that the measured ac losses for various contact positions in the conductor and shield are the same. However, their loss exponents are very different. More details will be presented in this work.
The application of high order multi-resolution singular entropy in fault phase selection of high-voltage transmission lines

Considering that the fault current component is not affected by the normal load current and the high order muti-resolution singular entropy can mine the characteristics of the fault current component effectively, a practical fault phase selection method based on the high order muti-resolution singular entropy of the current fault component is presented, which provides a solution for the intelligent fault handling. Finally, all kinds of fault conditions are verified by simulation. The fault phase selection process is simple and reliable, and the results indicate that the fault phase selection method is effective and feasible.
An experimental study of rectangular leaky waveguide in CBTC

Train-ground communication system is one of the essential subsystems of CBTC. Rectangular leaky waveguide laid continuously along the track has been used as transmission medium by some enterprises. Beginning with introducing the principles of leaky waveguide, we do some measurements of leaky waveguide. Compared with the communication by free space propagation, the measurement result shows that communication through leaky waveguide has several advantages when used in CBTC system. A simple architecture of train-ground communication system based on rectangular leaky waveguide is designed as well.
Determining Junction Temperature of LEDs by the Relative Reflected Intensity of the Incident Exciting Light

Relative reflected intensity of the incident exciting light is proposed to measure the junction temperature of light-emitting diodes (LEDs) under test. Reflectance spectra at a wide junction temperature range are acquired. Multichannel optical fibers greatly increase the collecting efficiency of the reflected light. Lock-in technique is utilized to exclude the interference of the emitting light from LEDs under test and to increase the dynamic range greatly. The results are in good agreement with those directly tested by a microthermocouple. To avoid extra carrier absorption and modulation effect, the incident exciting light should harbor smaller bandgap than that of LEDs under test.
Ontology-Based Research on Wind Power Plant Information Interaction

At present, wind power industry has developed rapidly in our country, and has also promoted the step of wind power plant information construction. But in this process, it's impossible to set up a uniform wind power plant management information system using conventional technology and method, because the wind power plant's devices span a long time, have many categories and the information model and communication protocol are also diverse in different wind turbines. Thus, this paper imports knowledge-sharing-based ontology semantic technology, builds the ontology on the basis of wind power plant information model and describes it using OWL. It achieves the wind power plant information sharing, interaction and procession at the semantic level, and provides a new method to build a uniform wind power plant management information system.
A business opportunity in the e-era: Apparel network marketing

E-commerce transactions in the present market play an increasingly large proportion, and apparel consumption in the e-era has great business opportunities, to make in-depth study of apparel network marketing is necessary. Compared to the traditional marketing model, apparel network marketing has an advantage in the operating cost, convenience, interactivity, etc., but there are many deficiencies: Virtual technical problems, after sales inconvenience and user information security weaknesses. Enterprises must make innovation in product development and virtual technology, improve the quality of network services and combine traditional marketing with network marketing, in order to ultimately achieve the desired effect of network marketing. So the enterprise wireless internet technology will provide the opportunity for the business of future.
Compact scalable hash from deep learning features aggregation for content de-duplication

Unprecedented growth in media content generation, communication and consumption has taken over the vast majority of storage spaces in devices, network caches, and clouds. How to identify duplications from network caches is an important issue for fast and efficient content delivery network (CDN) communication and storage. In this work, we developed a novel hash scheme which is scalable and robust to typical CDN induced transcoding and manipulations. Scalable hash design is constructed in essentially two stages: images are first represented as 512 channels of thumbnail images from the deep learning VGG-16 networks, and then a Fisher Vector aggregation is performed on the features which offer scalability in both underlying Gaussian Mixture Model (GMM) PCA embedding and component posterior likelihood. Hash is generated by direct binarizing the Fisher Vector with component/dimensionality priority optimization. Simulation results have demonstrated that this is a very compact and accurate scheme for CDN content de-duplication.
A video retrieval algorithm using random projections

In this paper, we propose a fast and accurate video retrieval algorithm using random projections, an indexing structure and parallel computing. The video sequences are represented by low dimensional temporal trajectories in a set of low dimensional spaces through scaling and random projections. A kd-tree structure is used for efficient data access. We also develop an efficient retrieval algorithm. Simulation results demonstrate that the proposed algorithm is very fast and accurate in retrieval performance.
Analysis of Utility of Employee's Quality of Working Life and Assessment Model

Quality of working life (QWL) is one of the important content for human resources management. Based on the comments towards the research on the quality of working life, its concept is redefined from the perspective of experienced utility. According to the degree of conspicuousness of the experienced items, five utility factors of the quality of working life are put forward. It also analyzes the characteristics of isoutility curve of QWL and establishes the utility assessment model of quality of working life, which consists of expected utility level of utility factors, satisfaction level and weighting value.
Automated Test Oracle Based on Neural Networks

In this paper an attempt has been made to explore the possibility of the usage of artificial neural networks as automated test oracle. Automated test oracle includes capabilities to generate expected output and compare it with actual output automatically. It is important for automated software testing. But there are very few techniques to implement it. In this paper, an insensitive oracle is proposed. It generates approximate output that is close to expected output. The actual output is then compared with the approximate output in an interval. The relation between inputs and outputs of an application under testing is described as a function. When it is a continue function, neural networks are used to estimate the output after training. By the method, automated oracle can be implemented and precision be adjusted by parameters. It can save a lot of time and labor in software testing
Study on improving the operation performance of composite insulator by interpolation electrode structure

In power grid, higher is the voltage level, longer is the composite insulator string, uneven is the potential distribution, especially the sheds near the conductor, its withstand voltage is several times higher than other sheds. For the electric field strength of composite insulator at high end is high, it is easy to produce corona which resulted in insulator degradation, life shortening and acid corrosion intensified by electric corrosion. A new interpolation electrode structure equipped with optimized grading ring is designed and developed to effectively improve potential distribution of composite insulator. Based on fuzzy clustering analysis method, the test data of 330kV composite insulator with different structures is analyzed and modeled. Field strength distribution function of composite insulator with different structure has obtained. Through field strength analysis, it is proposed to introduce the potential into 1~2 sheds of composite insulator core rod for reducing field strength at high end. Based on above method, a new interpolation electrode structure is designed; optimal design is conducted to grading ring of interpolation electrode structure through finite element algorithm simulation. The product has passed all type tests. Field strength and potential distribution of insulator shed are measured by fiber optic field strength measuring instrument. It is shown that the potential distribution of composite insulator has been improved greatly. The product has been applied and operated on a 330kV transmission line in Shaanxi Province for 3 years, and is under good operation condition.
Parallelism and Auto-Tuner of Irregular Iteration in Reservoir Simulation

In the field of reservoir numerical simulation, irregular iteration problem is one of the most important reasons to affect the efficiency of large-scale computing. Memory access patterns can't be determined at compiler-time, which brings us difficulties to parallel. This library uses Inspector/Executor model based on distributed clusters, and improves parallel efficiency utilizing alternate tiling technology. Besides, we get the optimal efficiency by auto-tuner, which can find the right parameters. Finally, numerical results on CLUSTER show that the method has a good parallel efficiency as well as scalability, and the auto-tuner possesses practicality to a certain extent.
CPW-Fed Multiband Monopole Antenna Loaded With DCRLH-TL Unit Cell

A coplanar waveguide (CPW)-fed multiband monopole antenna based on loading one dual composite right/left-handed (DCRLH) transmission line (TL) unit cell is presented. The antenna works at 3.22 GHz, 4.57 GHz, and 5.71 GHz. The first resonant frequency (3.22 GHz) is a little lower than the first resonance (3.38 GHz) of the corresponding conventional monopole, the second (4.42 GHz) is much lower than the second resonance (9 GHz) of the conventional monopole, and the third one achieves the zeroth-order (ZOR) resonance. Also the electromagnetic (EM) simulation results demonstrate that the proposed antenna has satisfactory omni-directional radiation patterns with reasonable gains. Finally the antenna is fabricated and measured; measurements and EM simulations are in good agreement.
Research and implementation of tsinghua architecture digital library

Tsinghua University Architecture Digital Library (THADL) is constructing as a small but comprehensive prototype system. The aims of THADL are: 1) to study the theories, methods and key techniques in digital library, 2) to provide learning environment and mechanism for university education, and 3) to pave the way for constructing future large-scale digital library. In this paper, we propose the architecture for THADL that assures acquisition, organization, management, retrieval, and distribution of materials on Chinese ancient architecture. We discuss the information model of THADL and implement a Web-based courseware environment for university education via Internet. Finally, we establish the metadata specification--THADL Metadata for marking and describing the digital materials in THADL.
Charrelation matrix based blind identification of underdetermined mixtures

In this paper, we propose a novel algorithm for underdetermined blind identification problem in blind source separation. The proposed algorithm is based on the charrelation matrix of observed signals. The charrelation matrix not only can be considered as a generalized second-order covariance matrix, but also incorporates higher-order information. It is significant for blind separation problem based on statistic characteristics to extract statistical information. The problem of underdetermined blind identification is converted as a tensor decomposition model. The mixing matrix can be estimated from the rank-1 terms of the tensor decomposition. Theoretical analysis and simulation results illustrate the proposed algorithm performs competitive estimation performance compared to the underdetermined blind identification algorithm based on second-order covariance and fourth-order cumulant.
Modeling piezoelectric actuator hysteresis with a family of ellipses

In this paper, a new mathematic model is developed to describe the frequency-dependent and amplitude-dependent hysteresis in a piezoelectric actuator. The developed hysteresis model consists of a family of ellipses with arbitrary major and minor axes and orientation in the 2D plane, relating with frequencies and amplitudes of the control input. To describe the hysteresis characteristics, experiments are performed with designed harmonic excitations under different frequencies in the range 0.5 Hz to 300 Hz. Both the input voltage and the feedback displacement are analyzed through the direct least square method to identify the elliptic models. In the developed model, the length of the minor radius describes the hysteresis height varying with the input frequencies and amplitudes, while the length of major radius and the orientation of the ellipses describe peak-to-peak output amplitudes. The simulation results are compared with the measured data from the actuator to demonstrate the validity of the proposed model. The results show that the elliptic model can completely match the rate-dependent hysteresis of the piezoelectric actuator at both the lower and higher frequencies.
A Unified Distance Function Framework for Workpiece Fixturing Modeling and Analysis

Fixtures are used in almost all modern manufacturing operations. In practice, there is a wide range of specifications on the manufacturing precision and thus different requirements on workpiece locating accuracy during each production process. In view of that, this paper developed a unified signed distance function framework. Under this framework, three systems of sensitivity equations, which link the locator source errors to the resulting workpiece localization error, were derived. Accordingly, unique linear, one-sided quadratic, and two-sided quadratic models have been developed. These three models, distinguished by whether or not taking into account workpiece and/or locator curvature effects, provide a range of locating precision analysis which is illustrated and verified by several examples. The developed modeling technique can handle general fixture locating rather than being limited to certain locating schemes. The proposed models are of practical relevance and have great potential to be applied towards locating scheme evaluation, fixture design, fault diagnosis, and tolerance analysis.