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"Performance Research Methodology."
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Data analysis in sport
\"Making sense of sports performance data can be a challenging task but is nevertheless an essential part of performance analysis investigations. Focusing on techniques used in the analysis of sport performance, this book introduces the fundamental principles of data analysis, explores the most important tools used in data analysis, and offers guidance on the presentation of results. The book covers key topics such as: The purpose of data analysis, from statistical analysis to algorithmic processing Commercial packages for performance and data analysis, including Focus, Sportscode, Dartfish, Prozone, Excel, SPSS and Matlab Effective use of statistical procedures in sport performance analysis Analysing data from manual notation systems, player tracking systems and computerized match analysis systems Creating visually appealing 'dashboard' interfaces for presenting data Assessing reliability. The book includes worked examples from real sport, offering clear guidance to the reader and bringing the subject to life. This book is invaluable reading for any student, researcher or analyst working in sport performance or undertaking a sport-related research project or methods course\"-- Provided by publisher.
Book
Current problems in China’s manufacturing and countermeasures for industry 4.0
Industry 4.0 was proposed by Germany, which will bring a revolution in manufacturing. How does China’s manufacturing sector deal with this revolution? The key is to identify problems and provide solutions. Based on the analysis of statistical data and the qualitative analysis, the paper carries out an in-depth analysis of current situation of China’s manufacturing. Then, main problems in China’s manufacturing industry were analyzed. Finally, the paper puts forward concrete countermeasures for China’s manufacturing sector. The countermeasures were as follows: pushing technological innovation by strengthening cooperation of official-industry-university-research-customer, developing manufacturing technology criteria in line with international practice, setting up the intelligent key projects and launching pilot project, and constructing network infrastructure. China’s manufacturing industry is still not very advanced, so it is necessary to seize the opportunity of industry 4.0. The countermeasures proposed in this paper can be used as suggestions for China’s manufacturing sector in the Industry 4.0 era.
Journal Article
Mapping hotspots and emerging trends of business model innovation under networking in Internet of Things
Networking in Internet of Things (IoT) has had an immeasurable impact on the existing business models. In this context, exploring the hotspots and trends of business model innovation has become particularly necessary. For the topic literature over the past 20 years retrieved from Science Citation Index and Social Sciences Citation Index databases, scientometrics with information visualization technology was used to carry on the knowledge mapping with the following indicator: the co-cited reference networks, reference bursts, keyword bursts, and keyword co-occurrence networks. The results show (1) “e-commerce,” “open source,” “performance,” “entrepreneurship,” etc. are the main hotpots, and “value creation,” “open innovation,” “small business,” “networks,” etc. are the new hotpots; (2) the trends of hotspots transited from early “information technology” to later “self-service,” “mass customization,” and “biotechnology” and to present “cloud manufacturing,” “telemedicine,” “climate change,” and “sustainable development,”. etc.; (3) “intelligent robot,” “3D printing,” and the methodology of business mode innovation may be the future hotspots. This is the first paper visualizing the hotspots and emerging trends of business model innovation specially through scientometrics from a global perspective.
Journal Article
Air quality forecasting based on cloud model granulation
This paper proposes a novel algorithm based on cloud model granulation (CMG) for air quality forecasting. Through data exploration of three different types of monitoring localities in Wuhan City, the determinative pollutants were reduced to NO2, PM10, O3, and PM25 for modeling. After iterative granulation of original time series, the concepts of cloud model were extracted for each granule from original data space to feature space. Then, the cloud model features of future granules were predicted in the new feature space. Finally, the value in the feature space is transformed into the solution in the concept space. In addition, this paper uses the grid search to optimize the parameters in all experiments. Compare with several machine learning approaches, considering the mean squared error, the results on composition model and direct model shows that the proposed algorithm has better in predicting both individual air quality index and air quality index. At ZKX locality, the CMG algorithm can achieve high accuracy 71.43% for prediction of air quality index class. The results show that this algorithm not only can simplify the modeling process of uncertain time series in the form of knowledge abstraction, but also has good prediction performance in IAQI and AQI.
Journal Article
Capacity analysis of LTE-Advanced HetNets with reduced power subframes and range expansion
The use of reduced power subframes in LTE Rel. 11 can improve the capacity of heterogeneous networks (HetNets) while also providing interference coordination to the picocell-edge users. However, in order to obtain maximum benefits from the reduced power subframes, setting the key system parameters, such as the amount of power reduction, carries critical importance. Using stochastic geometry, this paper lays down a theoretical foundation for the performance evaluation of HetNets with reduced power subframes and range expansion bias. The analytic expressions for average capacity and 5th percentile throughput are derived as a function of transmit powers, node densities, and interference coordination parameters in a two-tier HetNet scenario and are validated through Monte Carlo simulations. Joint optimization of range expansion bias, power reduction factor, scheduling thresholds, and duty cycle of reduced power subframes is performed to study the trade-offs between aggregate capacity of a cell and fairness among the users. To validate our analysis, we also compare the stochastic geometry-based theoretical results with the real macro base station (MBS) deployment (in the city of London) and the hexagonal grid model. Our analysis shows that with optimum parameter settings, the LTE Rel. 11 with reduced power subframes can provide substantially better performance than the LTE Rel. 10 with almost blank subframes, in terms of both aggregate capacity and fairness.
Journal Article
High-speed hardware architecture for implementations of multivariate signature generations on FPGAs
Multivariate signature belongs to Multivariate-Quadratic-Equations Public Key Cryptography (MPKC), which is secure to quantum computer attacks. Compared with RSA and ECC, it is required to speed up multivariate signature implementations. A high-speed hardware architecture for signature generations of a multivariate scheme is proposed in this paper. The main computations of signature generations of multivariate schemes are additions, multiplications, inversions, and solving systems of linear equations (LSEs) in a finite field. Thus, we improve the finite field multiplications via using composite field expression and design a finite field inversion via using binary trees. Besides, we improve solving LSEs in a finite field based on a variant algorithm of Gauss-Jordan elimination and use the XOR gates to compute additions. We implement the high-speed hardware architecture based on the above improvements on an Altera Stratix Field-Programmable Gate Array (FPGA), which shows that it takes only 90 clock cycles and 0.9 μs to generate a multivariate signature. The comparison shows that the hardware architecture is much faster than other implementations.
Journal Article
Combination of a geolocation database access with infrastructure sensing in TV bands
This paper describes the implementation and the technical specifications of a geolocation database assisted by a spectrum-monitoring outdoor network. The geolocation database is populated according to Electronic Communications Committee (ECC) report 186 methodology. The application programming interface (API) between the sensor network and the geolocation database implements an effective and secure connection to successfully gather sensing data and sends it to the geolocation database for post-processing. On the other hand, the testbed allows authorized TV white space devices to gain access to the services of the geolocation database, according to a draft implementation of Internet Engineering Task Force (IETF) Protocol to Access White Space (PAWS) Two experimental methodologies are available with the testbed: one focused on coexistence studies with commercial wireless microphones, when the testbed is used for sensing only, and another for demonstration purposes, when the testbed is also used to emulate wireless microphone signals. Overall, this hybrid approach is a promising solution for the effective use of TV white spaces and for the coexistence with digital TV broadcast signals, or dynamic incumbent systems, such as unregistered wireless microphones.
Journal Article
A load-aware weighted round-robin algorithm for IEEE 802.16 networks
The IEEE 802.16 standard was designed to provide quality-of-service (QoS) guarantees for various classes of traffic with diverse QoS requirements. Packet-scheduling algorithms play a critical role in providing such guarantees. Weighted round robin (WRR) is one of the most commonly used scheduling algorithms, because of its simplicity and low computational overhead. However, it suffers from performance degradation under bursty traffic conditions because of the static weights used to determine packet transmissions. We propose a new packet-scheduling discipline for downlink traffic in 802.16 networks to improve performance in such situations. It dynamically determines the weight of each queue in the various classes based on the current traffic characteristics using the static WRR weight at the beginning of each base station round. The goal is not only to reduce the average delay and packet loss but also to improve average throughput. Simulations are used to evaluate the performance of the proposed algorithm load-aware weighted round robin (LAWRR), and show that it reduces average delay and packet loss, as well as it improves average throughput compared with WRR. The effectiveness of LAWRR running under fixed buffer sizes is also investigated.
Journal Article
Heterogeneous spectrum sensing: challenges and methodologies
Distributed sensing is commonly used to obtain accurate spectral information over a large area. More and more heterogeneous devices are being incorporated in distributed sensing with the aim of obtaining more flexible sensing performance at lower cost. Although the concept of combining the strengths of various sensing devices is promising, the question of how to compare and combine the heterogeneous sensing results in a meaningful way is still open. To this end, this paper proposes a set of methodologies that are derived from several spectrum sensing experiments using heterogeneous sensing solutions. Each of the solutions offers different radio frequency front-end flexibility, sensing speed and accuracy and varies in the way the samples are processed and stored. The proposed methodologies cover four fundamental aspects in heterogeneous sensing: (i) storing experiment descriptions and heterogeneous results in a common data format; (ii) coping with different measurement resolutions (in time or frequency domain); (iii) calibrating devices under strictly controlled conditions and (iv) processing techniques to efficiently analyse the obtained results. We believe that this paper provides an important first step towards a standardized and systematic approach of heterogeneous sensing solutions.
Journal Article
CLAWS: Cross-Layer Adaptable Wireless System enabling full cross-layer experimentation on real-time software-defined 802.15.4
Motivation
In recent years, researchers have developed a large and growing set of protocols and algorithms to improve the throughput and capacity of wireless networks. These schemes span the physical (PHY), medium access control (MAC), and higher layers of the protocol stack. Most effective innovations however require cross-layer modifications of both PHY and higher layers. To date, the verification of those designs has been limited to simulations or small setups relying often on off-line processing of the results. MAC layer results that rely on even the tiniest modification of the PHY can only be verified under simplified networking assumptions. Similarly, novel PHY algorithms are typically only verified for a single wireless link, avoiding complex scenarios. Most importantly, there is almost no cooperation between PHY and networking communities, as the tools and testbeds they use are incompatible.
Contributions
In this paper, we propose a methodology for fully flexible PHY, MAC, and network layer verification that is designed to (a) reuse existing software components from PHY and network communities, (b) enable both simple- and expert-level modification and configuration of all components, (c) have real-time performance benchmarked with off-the-shelf systems, and (d) enable large networking experiments including off-the-shelf nodes for rapid experimentation, testing, and comparison. The main contribution of this paper is the introduction of an approach that enables the realization of full software-defined radio (SDR) sensor nodes, all running on a single field-programmable gate array and reusing PHY layer SDR tools and typical operating systems such as Contiki OS. Subsequently, the paper will illustrate the strengths of the proposed approach by demonstrating communication with off-the-shelf sensor nodes. This allows fair benchmarking with state-of-the-art or off-the-shelf solutions. Finally, some cross-layer improvements are proposed and compared with the baseline off-the-shelf system. This proves our claims that the proposed platform is a very useful tool for cross-layer experimentation, in that it allows full cross-layer control of the PHY and network layers, and moreover enables elegant comparison with state-of-the-art designs. This architecture is provided to the open source community (
http://claws.be/
), in order to become a framework for validating and benchmarking wireless cross-layer innovations.
Journal Article