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This study aims to evaluate the performance of the machine tool industry in Taiwan between 2010 and 2014 by using a dynamic network data envelopment analysis (DN-DEA) model. Taiwanese machine tool ...

Low-rank matrix factorization algorithms using the randomized sampling paradigm have recently gained momentum, owing to their computational efficiency, high accuracy, robustness, and efficient parallelization. This paper presents a randomized factorization algorithm tailored for low-rank matrices, called Randomized Partial UTV (RaP-UTV) factorization. RaP-Utvis efficient in arithmetic operations, and can harness the parallel structure of advanced computational platforms. The effectiveness of RaP-Utvis demonstrated through synthetic and real-world data. Applications treated in this work include image reconstruction and robust principal component analysis. The results of RaP-UTV are compared with those of multiple algorithms from the literature.

Matrices with low-rank structure are frequently encountered in a myriad of application domains, due to Big Data generation and consumption. Low-rank matrix decomposition algorithms, such as the truncated singular value decomposition (TSVD), play a pivotal role in processing and extracting patterns of such data matrices. We present in this work an algorithm termed Randomized Rank-k QLP (RR-QLP). It utilizes randomization and efficiently constructs a low-rank decomposition of an input matrix, thus providing an approximation to the TSVD. Its advantage over TSVD, however, is that RR-QLP is computationally more efficient and can leverage the parallel structure of modern computers, thereby tackling a major bottle- neck associated with TSVD. To show the effectiveness of RR-QLP, different classes of data matrices are treated and the results are compared with those of several algorithms from the literature.

In the process of acquiring English resources, information retrieval based only on keywords has great limitations in many cases. Moreover, the process of browsing irrelevant information will undoubtedly lead to the loss of customers. In addition, search engines are even more powerless for users who have no clear needs. Based on this, this paper combines the symmetric SDAE collaborative filtering algorithm to construct an intelligent English resource recommendation model. The symmetric SDAE model is composed of two stacked denoising automatic codes, one is used to train item information to obtain the item feature matrix, and the other is used to train user information to obtain the user feature matrix. At the same time, in order to study the performance of the model, this paper takes expert ratings and student user ratings as examples for analysis, uses mathematical statistics and machine learning for data processing, and displays the results in graphs. The research results show that the model constructed in this paper has good results, and the next research direction is proposed.

This article authorizes all relevant participants to join the private blockchain network and form a stakeholder alliance to jointly maintain the operation of the blockchain. It not only ensures the legal compliance of the participants in the transaction system, increases mutual trust between the participants, but also provides an open and collaborative environment, and realizes the benign circulation of aerospace industry resources. The data transaction method in this article covers the entire life cycle process of data production and transaction, and uses blockchain technology to ensure data credibility, data security, and transaction traceability. It solves the problems of proof of the value of aerospace test data, data security and network transaction trust, protects the interests of both parties in the transaction, and effectively expands the application scope of aerospace industry resources.

Purpose This study aims to present the key systemic changes in the Polish book evaluation model to focus on the publisher list, as inspired by the Norwegian Model. Design/methodology/approach In this study we reconstruct the framework of the 2010 and 2018 models of book evaluation in Poland within the performance-based research funding system. Findings For almost 20 years the book evaluation system in Poland has been based on the verification of various technical criteria (e.g. length of the book). The new 2018 model is based on the principle of prestige inheritance (a book is worth as much as its publisher is) and is inspired by the publisher list used in the Norwegian Model. In this paper, we argue that this solution may be a more balanced policy instrument than the previous 2010 model in which neither the quality of the publisher nor the quality of the book played any role in the evaluation. Research limitations We work from the framework of the 2018 model of book evaluation specified in the law on higher education and science from 20 July 2018, as implementation acts are not available yet. Practical implications This study may provide a valuable point of reference on how structural reforms in the research evaluation model were implemented on a country level. The results of this study may be interesting to policy makers, stakeholders and researchers focused on science policy. Originality/value This is the very first study that presents the new framework of the Polish research evaluation model and policy instruments for scholarly book evaluation. We describe what motivated policy makers to change the book evaluation model, and what arguments were explicitly raised to argue for the new solution.

The aerodynamic noise of high-speed train power car was investigated in this article. The full-scale power car was first modeled, and the external steady flow field was computed by a realizable k-ε turbulence model. The aerodynamic noise sources of the power car surface and the external transient flow field were then calculated by broadband noise source model and large eddy simulation (LES) model, respectively. The static pressures on the train surface were obtained from the results of the transient model. Considering the transient flow field, the far-field aerodynamic noise generated by the power car was finally derived from Lighthill-Curle theory. It was validated by means of on-line tests that have been performed along a real high-speed railway line. Through comparisons between simulations and measurements, it is shown that the simulation model gives reliable aerodynamic noise predictions. We foresee numerous applications for modeling and control of the aerodynamic noise in high-speed train.

To solve the problems that safety status information was not timely and information accuracy guarantee was costly in the production, transportation and preservation of hazardous chemicals, the safety state control model for hazardous chemicals with four layers of data perception, data cleaning, data fusion and state evaluation is proposed. Firstly, aiming at the inaccuracy of collected data, a data cleaning method was put forward. Secondly, A data fusion method based on rough set and D-S evidence theory was put forward to acquire technical state real-timely and accurately. Thirdly, the migration of technical state would be grasped through evaluation between physical state and target state. Finally, a hazardous chemical factory was taken as the application object to verify the feasibility of proposed technology.

Due to the low accuracy of video classification, this paper proposes a video classification method based on temporal and spatial feature. Firstly, obtain the video descriptor and extract the spatio-temporal features from the video. Then the video encoding is generated by using the word bag model. Finally, compare spatial and temporal features respectively to generate the final judgement and train the classifier area to divide into video categories. SVM (Support Vector Machine) is used to train a multi-class classifier to classify video and it can get better results in small sample training set and has excellent generalization ability. Experimental results indicate that the above method is efficient to process and illustrate video classification to some extent.

This paper describes the transient vibration analysis of a single-axis inertial vibration machine. In order to avoid the disadvantage of excessive amplitude caused by the resonance zone during starting and stopping, a dynamic model of SDOF (single degree of freedom) is established based on the dynamic analysis of the physical phenomena during starting. According to the Runge-Kutta method in numerical analysis, a vibration differential equation based on linear vibration is established, and the variation of variables over time during starting and stopping of the vibration machine is analyzed, providing the theoretical evidence for the amplitude control. By means of computer programming, variables in the changing process are simulated and solved, data are processed to a certain extent, and numerical simulation is carried out. Finally, the rationality of the theoretical analysis is verified by experiments, which provides a reference for solving the problem of excessive amplitude increase in engineering.

The whole process security of power information system is the key to make power grid operation safe and stable. Firstly, the concept and characteristics of whole life cycle management (WLCM) are summarized by this paper systematically. Secondly, the power network security architecture based on full life cycle security management is constructed, which is designed to protect the cyber security of power grid from three aspects: control flow, technical support system and mechanism guarantee system. Thirdly, the cyber security’s management and control flow of power grid, the technical support system of power grid cyber security (PGIS) and the mechanism guarantee system based on life cycle management are proposed. And the control flow, technical support and guarantee mechanism were designed in detail. Finally, the method proposed in this paper is carried out in a provincial power-grid company. The results show that this method can significantly reduce the power network security risk and improve the power grid network security level, which is of great significance to the operation safety of the power grid and has strong engineering application value.

The excessive exploitation and utilization of non-renewable resources by humans has caused a lot of energy depletion, which has caused great changes in the climate system and has a great impact on human production and life. The development and utilization of new energy by human beings has become a hot issue in recent years. As the most important renewable green energy source, solar energy resources have been widely used in many countries and regions. The paper analyzes the solar radiation in the Hexi region for about 21 years in time and space to analyze the availability of solar energy resources in Hexi area.

In order to improve the data security in the computing environment, a "public auditing" scheme PARCC was proposed for the regenerative coding data in the cloud computing system. PARCC allows the user to use a third-party auditor TPA to remote check the integrity of the data. In addition, in order to solve the data owner without online failure data/signature of regeneration, was introduced to the system in one and a half-trusted agent, and designed a new data signature scheme, allowing the agent to replace the data owner to provide renewable data valid signatures. Considering the privacy protection of data, the random cover method of coefficient in PARCC scheme ensures that the user data will not be leaked during the audit and repair process. The safety of the scheme is proved, and the performance of the scheme is comprehensively evaluated and analyzed through the theory. The results show that the scheme has good performance.

A novel reversible watermarking scheme is proposed,which is robust against high-quality JPEG compression.By computing the difference between the means of two adjacent image blocks,employing it to embed the watermark,and using block histogram shifting to avoid overflow/underflow,this technique receives both losslessness and robustness.If the watermarked image does not change at all,the watermark can be extracted out correctly and the original image can be recovered losslessly.If the watermarked image is compressed to some extent,the watermark can still be correctly extracted for semi-fragile authentication.The scheme is successfully applied to three kinds of medical images and commonly used images.Experimental results show that the high visual quality of images,the pure payload,and the robustness of the proposed scheme against compression are acceptable for many applications,including semi-fragile image authentication.

The rapid development of Internet provides a more convenient, effective platform for science and technology communication. In recent years, many websites in China have played an important role for science and technology communication, and promote the popularization of science and technology. But at the same time, there are some problems inevitably in the process of development. How to objectively evaluate the current Internet communication competence for science and technology is the important content of this paper. The paper consists of five parts: the first part is to introduce the current development situation of Internet for Science and technology communication, and outline the architecture of Internet for science and technology communication; the second part is to establish the index evaluation system from quantitative and qualitative aspects on the basis of the characteristics of Internet; the third part is according to the data of typical examples obtained by monitoring, to analyze the Internet communication competence for science and technology through the index system; the forth part draws some conclusions; the last part gives relevant suggestions.

Route search has been studied extensively. However existing solutions for route search are often insufficient in offering users the flexibility to specify their requirements. Recently, a new kind of keyword-aware optimal route (KOR) query is proposed for finding an optimal route such that it covers a set of user-specified keywords, it satisfies a budget constraint (e.g., time), and the total popularity of the route is maximized. For example, a user may search for the route passing through cinema and bookstore within a travel time of 3 hours, which has the highest total rating score. KOR only returns one result regardless of user preferences:however some may care more about bookstore, while others think cinema more important. Apparently, it is not user-friendly for users to specify their own preference explicitly. To meet the various user preferences, this paper presents a new route search query called Keyword-aware Dominant Routes (KDR) query, which returns all possible preferable routes, covering a set of keywords under a specified budget constraint. We devise a novel algorithm DR for efficiently finding the exact result of a KDR query and a heuristic algorithm FDR to approximately answer a KDR query. Experimental results show that our algorithms are efficient.

Study of technological knowledge diffusion can provide a basis for R&D planners to invest new R&D projects with a proper direction. In this paper, we introduce a modified method to analyze the diffusion degree of technological knowledge among different technological fields using patent data at the technology patent class level. This method first generates a patent citation network related to a specific research area and then establishes a technological field diffusion matrix according to the concordance between the patent document and the corresponding patent class. After that indicators are set up to measure the diffusion degree of technological field from two aspects of diffusion depth and breadth and then we discern the diffusion type of typical fields. Finally, we conduct microfluidic technology as a case study to prove the feasibility of the method.

Remote Direct Memory Access (RDMA) is one of the basic communication fabrics for parallel computers. Its performance is crucial for most parallel workloads. For next generation super computers, the system usually extends to extremely large scale with millions of computation cores connected through the interconnection network. Most interconnection network features out of order packets delivery and low system-wide network reliability. Building high performance and reliable point-to-point communication over next generation interconnection network is a challenging task. Current system usually implements RDMA through two approaches: 1) the receiver side counters approach; 2) sender side sliding window approach. We see that current approach works better on reliable interconnection networks, but has obvious performance degradation over the un-reliable network. This paper proposes a new hardware approach for fast RDMA transmission, which can provide scalable performance on un-reliable network. Our approach uses a novel receiver side sliding window to support out-of-order packets delivery. Our approach proposes a new implementation of the traditional sliding window approach, which uses receiver side sliding window to efficiently retransmit partial RDMA data when part of the packets fail to reach the receiver. The experiments show that for low reliability interconnection network, our approach has scalable performance benefit over current RDMA implementations.

We use the permutation group of order 4 to classify the fourth order tree QCD Feynman diagrams, which contribute to the gg to process. (There are 159 of them.) We also provide new methods to make the color sum, and to check the gauge symmetry of the matrix elements and Feynman parts.

MPI collective communication overhead dominates the communication cost for large scale parallel computers, scalability and operation latency for collective communication is critical for next generation computers. This paper proposes a fast and scalable barrier communication offload approach which supports millions of compute cores. Following our approach, the barrier operation sequence is packed by host MPI driver into the barrier “descriptor”, which is pushed to the NIC (Network-Interfaces). The NIC can complete the barrier automatically following its algorithm descriptor. Our approach accelerates both intra-node and inter-node barrier communication. We show that our approach achieves both barrier performance and scalability, especially for large scale computer system. This paper also proposes an extendable and easy-to-implement NIC architecture supporting barrier offload communication and also other communication pattern.

With reference to the common vehicle abnormal behaviors, the article presents a video-based vehicle abnormal behavior detection system. on the basis of background subtraction methods to detect vehicles, the vehicle tracking and abnormal behavior identification was realized by building up information chain of tracked vehicles. the system solves effectively the problems of traditional method, such as losing detection and wrong matching. the experiments showed that the system could not only detect vehicle abnormal behavior correctly, but also calculate the traffic flow and count the number of vehicles which broke traffic rules accurately.

User Program has significant percentage of memory requests that target only private data, which does not need to resolve cache coherence conflicts. Yet traditional coherence protocol does not distinguish between shared and private blocks, which leaves much optimization space for memory reference latency and power consumption. This paper proposes an optimized cache coherence protocol, called PMESI, which dynamically deactivates cache coherence maintenance for private memory space. PMESI achieves two distinguishing features: the reduction of memory access latency and system power consumption. Simulation results on the cycle accurate simulator for wide range of industry benchmarks show that 54\% memory references can be efficiently optimized and program execution time is reduced 9\% on average.

The real-time video transmission demands not only tremendous bandwidth, but also a strict requirement on delay. In this paper, on the basis of research on the present situation of multi-interface multi-channel Ad Hoc networks, we analysis the extant routing protocols' advantages and disadvantages for video transmission. Firstly, we applied multi-interface multichannel extension method to the AOMDV (Ad-hoc On-demand Multipath Distance Vector) routing protocol, and improved extant channel switching algorithm, called MIMC-AOMDV (Multi-Interface Multi-Channel AOMDV) routing protocol. Secondly, we proposed video streaming delay QoS constraint and link-quality metrics, which used the multi interface queue's total used length to get QMMIMC-AOMDV (Quality metric MIMC-AOMDV) routing protocol. The results show that the proposed QMMIMC-AOMDV can reduce the frame delay effetely and raise frame decodable rate and peak signal to noise ratio (PSNR), so it is more suitable for real-time video streams.

Security policy system is critical to the security sensitive implementation systems. To increase confidence in the correctness of the security policies, policy developers can conduct policy testing to ensure security policies are correctly implemented in these systems. In this paper we present a novel framework for security policy testing. The framework takes the security policy as a support for the secure operation of the functional systems and seizes the dynamic characteristic of the security policies which change with the refinement of functional systems. The testing framework is model based and includes three parts. They are security policy integration; refinement based testing scenario acquisition and risk-based testing organization. The framework covers all elements for the model-based testing and provides a comprehensive solution for the security policy testing.

Informatization construction in the small and medium building material enterprise in China has been pressing for the moment. However, due to the restrictions of financing, human resources, technology and so forth, the achievement of informatization has none the less many difficulties. The managing concept of “software as a service” (the mode of SaaS) has been used to design and realize the management system in such enterprise. In this paper, the author takes up with the following aspects in exploding and actualizing the management system based on SaaS: First of all, the overall designing of the management system make software to cover the core areas in management including the stocking, the vendition and the stockpile. Secondly, the application of the designing concept based on the shared database realizes the share of multi-users and make sure of the uniqueness, the integrality and the security for their information. Finally, the last question discusses how to maintain an effective assistant system for the service provider in order to provide the efficient and timely technological assistants other than reducing the cost.

The new form factor is one of the important drivers for future electronic devices. In nature, there are many form factors with evolution process that are elegant and adaptive. In this paper, we explore the characteristics of arthrosis, with the focus on the difference between the arthrosis and machine joints. Then three types of joints are introduced, which are simulated from body arthrosis. With the analyses of the structure and motion track of these joints, the strongpoint of such joints is introduced.

To make the modulation classification system more suitable for signals in a wide range of signal to noise rate (SNR), a novel support vector machine fuzzy network (SVMFN) is presented in this paper. The SVMFN employs a new definition of fuzzy density which incorporates accuracy and uncertainty of the classifiers to improve recognition reliability. Further, three efficient features with high robustness and less computation are extracted from intercepted signals to classify eleven digital modulation types (i.e. 2ASK, 4ASK, 2FSK, 4FSK, 2PSK, 4PSK, 8PSK, 16QAM, TFM, /spl pi//4QPSK and OQPSK). Computer simulation shows that the proposed scheme has the advantages of high accuracy and reliability (success rates are over 97.5% when SNR is not lower than 0 dB), and adapt to engineering applications.

This paper deals with automatic modulation classification of communication signals. A new scheme of automatic modulation classification using wavelet analysis and wavelet support vector machine (WSVM) is proposed. Further, a new way of training for wavelet features is carried out to adapt to signals which are non-stable and varied in a wide range of signal-to-noise rates (SNR). Through such training, a single classifier can classify modulation types with high accuracy without knowing signals' SNR if only the SNR is in a certain range. Computer simulation shows that the classifier can separate ten modulation types, i.e. 2ASK, 4ASK, 2FSK, 4FSK, 2PSK, 4PSK, 16QAM, TFM, pi/4QPSK, OQPSK and success rates are over 96.5% when SNR is not lower than 3 dB. Accuracy and efficiency of the proposed scheme are obviously improved