铁汉柔情音乐传真A3.224bit Up—sampling CS播放机

面前 这台A3.2合并式 CD播放机,是英国Musi cal Fidelity(音乐传真)公司 新近投放市场的中高级机种。在过去 的三年里,其前身A3 CD机凭借着优异的综合 实力已成为同级产品中的佼佼者。那么A3.2能否取 得同样的成就呢? 如今,音乐传真的产品不论是CD机还是放大器,     

Sensorless position control with a hydraulic stepper drive — Concept,compression modeling and experimental investigation

This paper presents a new type of a linear hydraulic stepper drive for sensorless positioning tasks in hydraulics. The drive transforms pulses sent to switching valves into quite precise motion steps. The drive is realized by a hydraulic cylinder piston unit which displaces defined fluid quantums by limited forward strokes of that piston.A test rig (hydraulic cylinder with a hydraulic stepper unit) was built and experiments were performed to study the positioning accuracy, repeatability, linearity and scattering range of the proposed stepper drive concept. Two different step sizes (5 µm and 15 µm) were tested and investigated. Also a computation model was developed for sensorless position estimation and verified by measurements. The results show the quite good accuracy of the model for all tested operating conditions.An application example is studied, the sensorless control of the deflection of an elastic beam. Its experimental testing was done by hardware in the loop simulation, where the computed beam force is imposed to the physical stepper drive via a controlled hydraulic force. The results proof the practical suitability of the drive concept.     

Deep learning and RGB-D based human action,human–human and human–object interaction recognition: A survey

Human activity recognition is one of the most studied topics in the field of computer vision. In recent years, with the availability of RGB-D sensors and powerful deep learning techniques, research on human activity recognition has gained momentum. From simple human atomic actions, the research has advanced towards recognizing more complex human activities using RGB-D data. This paper presents a comprehensive survey of the advanced deep learning based recognition methods and categorizes them in human atomic action, human–human interaction, human–object interaction. The reviewed methods are further classified based on the individual modality used for recognition i.e. RGB based, depth based, skeleton based, and hybrid. We also review and categorize recent challenging RGB-D datasets for the same. In addition, the paper also briefly reviews RGB-D datasets and methods for online activity recognition. The paper concludes with a discussion on limitations, challenges, and recent trends for promising future directions.     

A novel hybrid image encryption–compression scheme by combining chaos theory and number theory

Compression and encryption are often performed together for image sharing and/or storage. The order in which the two operations are carried out affects the overall efficiency of digital image services. For example, the encrypted data has less or no compressibility. On the other hand, it is challenging to ensure reasonable security without downgrading the compression performance. Therefore, incorporating one requirement into another is an interesting approach. In this study, we propose a novel hybrid image encryption and compression scheme that allows compression in the encryption domain. The encryption is based on Chaos theory and is carried out in two steps, i.e., permutation and substitution. The lossless compression is performed on the shuffled image and then the compressed bitstream is grouped into 8-bit elements for substitution stage. The lossless nature of the proposed method makes it suitable for medical image compression and encryption applications. The experimental results shows that the proposed method achieves the necessary level of security and preserves the compression efficiency of a lossless algorithm. In addition, to improve the performance of the entropy encoder of the compression algorithm, we propose a data-to-symbol mapping method based on number theory to represent adjacent pixel values as a block. With such representation, the compression saving is improved on average from 5.76% to 15.45% for UCID dataset.     

Shorts of block operators and infinite networks—A note on the shorted operator: II

Let A_ij i, j=1, 2,..., be operators on a Hilbert spaceX, such that the compound operatorA =A _{ij i, j=1} induces a bounded positive operator onl ₂(X). We show that S(A , theshorted operator (orgeneralized Schur complement), of A can be obtained as the limits of shorts of the operators A_n, where A_n is the truncated version ofA , thenA _n=A _{ij i, j=1} ⁿ . We use these results to study the short-circuit approximations to infinite networks.     

ZTE''''s View on HR Management——A summary of the Interview with Hou Weigui,CEO of ZTE,by Business Celebrities,CCTV

Anchorman:Today, being people-oriented has become acommon concern in manybusiness organizations.What does“being peo-ple-oriented”mean? Fora product,it meansbringing maximum satis-faction to the customer.     

A Novel Admission Control Algorithm Based on Negotiation and Price

1　Introduction　In a media server that supports Quality of Service (QoS),an admission control algorithm determines whether or not anew request can be admitted to the server such that all userswill receive their required performance[1]. In general, ad mission control algorithms can be divided into deterministic,observation based and statistical ones. Deterministic algo rithms guarantee the specific QoS requirement by reservingthe resources for the worst case requirement of each applic…     

The pure rotational spectrum of water vapor—A millimeter,submillimeter, and far infrared analysis

Line positions, strengths, and absolute energies are calculated for the pure rotational spectrum of water in the region between 0 cm^?1 and 877 cm^?1. These calculations are done in the context of a reduced centrifugal distortion Hamiltonian, and are based on microwave measurements of this spectrum to 1 THz, and Far Infrared measurements between 32 cm^?1 and 715 cm^?1.     

Mismatch Modeling and Simulation—A Comprehensive Approach

This article describes a comprehensive approach to mismatch simulation and modeling as needed for integrated circuit design. Local device mismatch as well as global process variations and parameter correlations are regarded. A method for mismatch modeling based on spatial frequencies is described, which enables to overcome insufficiencies of the first order models. Measurement results are presented to demonstrate the achieved modeling precision. All models and methods mentioned here are commercially available in the simulation tool GAME (General Analysis of Mismatch Effects) which is used in the semiconductor industry since 1998.     

Guest Editorial——TTA Special Section on Terahertz Materials and Devices

Lying between radio frequency and infrared radiation,terahertz(THz)wave encounters lots of difficulties to produce,detect,transmit,and modulate.Great efforts have been made to construct THz devices,including sources,detectors,switches,modulators,lenses,and filters.However,only moderate progresses have been made in THz generation and detection.Furthermore,the devices and techniques to control and manipulate THz waves are still in its infancy.Therefore,it is still a challenge to date to     

A Versatile High-speed Image Processing System Based on DSP and CPLD

In this paper, we present an optimized design method for high-speed embedded image processing system using 32 bit floating-point Digital Signal Processor （DSP） and Complex Programmable Logic Device （CPLD）. The DSP acts as the main processor of the system： executes digital image processing algorithms and operates other devices such as image sensor and CPLD. The CPLD is used to acquire images and achieve complex logic control of the whole system. Some key technologies are introduced to enhance the performance of our system. In particular, the use of DSP/BIOS tool to develop DSP applications makes our program run much more efficiently. As a result, this system can provide an excellent computing platform not only for executing complex image processing algorithms, but also for other digital signal processing or multi-channel data collection by choosing different sensors or Analog-to-Digital （A/D） converters.     

Cloud service performance evaluation: status,challenges, and opportunities – a survey from the system modeling perspective

With rapid advancement of Cloud computing and networking technologies, a wide spectrum of Cloud services have been developed by various providers and utilized by numerous organizations as indispensable ingredients of their information systems. Cloud service performance has a significant impact on performance of the future information infrastructure. Thorough evaluation on Cloud service performance is crucial and beneficial to both service providers and consumers; thus forming an active research area. Some key technologies for Cloud computing, such as virtualization and the Service-Oriented Architecture (SOA), bring in special challenges to service performance evaluation. A tremendous amount of effort has been put by the research community to address these challenges and exciting progress has been made. Among the work on Cloud performance analysis, evaluation approaches developed with a system modeling perspective play an important role. However, related works have been reported in different sections of the literature; thus lacking a big picture that shows the latest status of this area. The objectives of this article is to present a survey that reflects the state of the art of Cloud service performance evaluation from the system modeling perspective. This articles also examines open issues and challenges to the surveyed evaluation approaches and identifies possible opportunities for future research in this important field.     

Millennials’ socio-psychology and blood donation intention developed from social media communications: A survey of university students

Less than 1% of South-Africans donate blood annually. New donors are required, especially from Millennials, who are large in numbers and influential. Being more receptive to social media communications and altruistic, millennials are the hope of safe blood supply. However, the drivers of millennials’ positive attitude and behavioural intentions (BI) towards donating blood need examination. This study used ideas from Social Cognition Theory, Health Belief Model and Theory of Planned Behaviour to examine how social media communications impact blood donation attitudes and behavioural intention through some socio-psychological outcomes among young adult Millennials at a university in South-Africa. Quantitative data was collected from 650 respondents. Structural equation modelling results revealed that social media communications positively impacted awareness, perception, peers, family, and behavioural intention. Motivation, awareness, peers and family positively influenced attitudes, which in turn, predicted blood donation intention. Blood donations agencies and public policy-makers should seek ways to convert Millennials’ positive attitudes and BI into actual blood donation.