Common Hardware Research Articles

VMI-PL: A monitoring language for virtual platforms using virtual machine introspection

With the growth of virtualization and cloud computing, more and more forensic investigations rely on being able to perform live forensics on a virtual machine using virtual machine introspection (VMI). Inspecting a virtual machine through its hypervisor enables investigation without risking contamination of the evidence, crashing the computer, etc.To further access to these techniques for the investigator/researcher we have developed a new VMI monitoring language. This language is based on a review of the most commonly used VMI-techniques to date, and it enables the user to monitor the virtual machine's memory, events and data streams. A prototype implementation of our monitoring system was implemented in KVM, though implementation on any hypervisor that uses the common x86 virtualization hardware assistance support should be straightforward. Our prototype outperforms the proprietary VMWare VProbes in many cases, with a maximum performance loss of 18% for a realistic test case, which we consider acceptable. Our implementation is freely available under a liberal software distribution license.

Research on the Design and Realization of Electrical Training System Based on the Virtual Reality Technology

This paper is mainly about the process of design and realization of electrical training software based on the virtual reality technology. Some modern computer technique are used in this paper, such as, interface design technology, animation design and manufacture technology, 3D modeling and rendering technology, virtual reality technology, network technology, database technology and the Man-machine interface sensor and communication technology. The electrical technique skill education in occupation post analysis, training project and key information extraction, the analysis of the teaching object have been realized. The overall structure of the system design, media design, copy and script writing have been accomplished. The virtual reality simulation software for technique training introduced in this paper has the characteristics of strong professionalism, situations, procedural, interactivity and intelligence. It is more realistic, more manufacturability and more interactivity than the traditional simulation teaching software. Therefore, it can achieve better teaching training effects. Furthermore it has common hardware training equipment incomparable advantages.

Parallel hybrid PSO with CUDA for lD heat conduction equation

Objectives: We propose a parallel hybrid particle swarm optimization (PHPSO) algorithm to reduce the computation cost because solving the one-dimensional (1D) heat conduction equation requires large computational cost which imposes a great challenge to both common hardware and software equipments.Background: Over the past few years, GPUs have quickly emerged as inexpensive parallel processors due to their high computation power and low price, The CUDA library can be used by Fortran, C, C++, and by other languages and it is easily programmed. Using GPU and CUDA can efficiently reduce the computation time of solving heat conduction equation.Methods: Firstly, a spline difference method is used to discrete 1D heat conduction equation into the form of linear equation systems, secondly, the system of linear equations is transformed into an unconstrained optimization problem, finally, it is solved by using the PHPSO algorithm. The PHPSO is based on CUDA by hybridizing the PSO and conjugate gradient method (CGM).Results: A numerical case is given to illustrate the effectiveness and efficiency of our proposed method. Comparison of three parallel algorithms shows that the PHPSO is competitive in terms of speedup and standard deviation. The results also show that using PHPSO to solve the one-dimensional heat conduction equation can outperform two parallel algorithms as well as HPSO itself.Conclusions: It is concluded that the PHPSO is an efficient and effective approach towards the 1D heat conduction equation, as it is shown to be with strong robustness and high speedup.

Fast, large-scale, particle image velocimetry-based estimations of river surface velocity

A modified high-speed implementation of cross-correlation (CC) based, large-scale particle image velocimetry (LSPIV) was used to estimate the surface velocity of a river with video collected from a gray-scale camera. To improve the quality of results in the high-noise low-signal environment, we introduce a temporal correlation averaging (TCA) scheme that merges a small number of correlation surfaces in the time domain. The TCA scheme is combined with a multi-size macroblock (MMB) sampling method that provides correlation scores from four different macroblock sizes. The TCA scheme is also used in conjunction with a signal-level indicator computed on the macroblock. The signal-level indicator is used to reject correlation scores prior to computation and helps to keep noisy results out of the TCA. These modifications were tested by comparing LSPIV calculations to Acoustic Doppler Current Profiler measurements. The percent difference of measured velocity between LSPIV with TCA and MMB and without TCA and MMB when compared to the ADCP was reduced by as much as 30%. The low processing cost of our modifications along with an efficient multithread implementation of LSPIV facilitates high speed processing of up to a few thousand vector points at rates that exceed the capture speed of common hardware.

Assessment of fully automated antibody homology modeling protocols in molecular operating environment

The success of antibody-based drugs has led to an increased demand for predictive computational tools to assist antibody engineering efforts surrounding the six hypervariable loop regions making up the antigen binding site. Accurate computational modeling of isolated protein loop regions can be quite difficult; consequently, modeling an antigen binding site that includes six loops is particularly challenging. In this work, we present a method for automatic modeling of the FV region of an immunoglobulin based upon the use of a precompiled antibody x-ray structure database, which serves as a source of framework and hypervariable region structural templates that are grafted together. We applied this method (on common desktop hardware) to the Second Antibody Modeling Assessment (AMA-II) target structures as well as an experimental specialized CDR-H3 loop modeling method. The results of the computational structure predictions will be presented and discussed.

Design of a Reconfigurable Extendible Real-Time Multi-Bus Simulation System on the Information Flow in the Control Systems

A simulation system on information flow is designed to emulate the data communication on the RS-485 bus, the 1553B bus and the Ethernet bus. This simulation system has a high requirement for the extendibility, and it must have an ability to regulate and reconfigure the information flow on the three buses. To deal with the above problems, the simulation system has to be designed as a reconfigurable extendible real-time multi-bus simulation system. In order to meet the real-time requirements for the simulation of the information flow and the universal property for the most systems, this simulation system must be carried out based on a real-time operating systems (VxWorks) and a common hardware platforms. Firstly, this simulation system will have a total emulation and a whole simulation for the information flow, the communication status, the monitor nodes and the control nodes on each of the three buses. Secondly, this simulation system defines an extendible protocol between the simulation sever and the simulation terminals, and strictly plan the information flow among the simulation terminals to achieve the design requirements of the actual system. And then the simulation system has to own a reconfigure software components and a complete database functions of recording and stacking the data.

Pallidal deep brain stimulation for dystonia: a case series

Pallidal deep brain stimulation (DBS) is a treatment option for those with early-onset dystonia. However, there are limited data on long-term outcome and treatment complications. The authors report on the short- and long-term effects of pallidal DBS in a cohort of patients with early-onset dystonia. Fourteen consecutive pediatric patients with early-onset dystonia were systematically evaluated and treated. The duration of follow-up ranged from 16 to 84 months. There were no immediate postoperative complications. At last follow-up, 12 of the 14 patients displayed a significant decline in the Burke-Fahn-Marsden Dystonia Rating Scale motor subscale score, with an average decrease of 62% ± 8.4%. The most common hardware complication was lead fracture (14.3%). These data provide further evidence that DBS is a safe and effective treatment for those with earlyonset dystonia.

The Digital Signal Processing Algorithm Implemented on ARM Embedded System

Digital Signal Processing technology is an important tool for modern signal processing. The speedy development ARM embedded processor has powerful computed capability for digital signal processing algorithms. The paper provides a common hardware platform in recent years. In this paper, used assemble language to realize the algorithms and FIR Filter based on ARM-Linux embedded environment. The results shown that the ARM can quickly and efficiently complete a series of digital signal processing algorithms. Digital signal processing algorithm on ARM embedded system provides an effective way.

An Open-Source Hardware and Software Platform for Telesurgical Robotics Research

We present our work to develop a telerobotics research platform that provides complete access to all levels of control via open-source custom electronics and software. The electronics employs an FPGA to enable a centralized computation and distributed I/O architecture in which all control computations are implemented in a familiar development environment (Linux PC) and low-latency I/O is performed over an IEEE-1394a (Firewire) bus at speeds up to 400 Mbits/sec. The mechanical components of the system are provided by the Research Kit for the da Vinci System, which consists of the Master Tool Manipulators (MTMs), Patient Side Manipulators (PSMs), and stereo console of the first-generation da Vinci surgical robot. This system is currently installed, or planned for installation, at 11 research institutions, with additional installations likely in the future, thereby creating a research community around a common open-source hardware and software platform.

A RFID Controller with Contactless Cards for Internet of Things

RFID system is a foundational component for the internet of things. Its applications are more and more popular, such as travel, retail, industry, defense, agriculture, storage and other fields. Controller or reader is an essential part for RFID applications. It can identify tags, process data and issue management instructions. Microcontrollers are common hardware for embedded applications. With microcontrollers, the RFID controller will be smart and easy to be used. In this paper, RFID, internet of things, contactless cards, readers, microcontrollers and design of a RFID controller with microcontrollers are discussed.

저면적 HEVC 코어 변환기 아키텍쳐 설계

This paper proposes and implements an core transform architecture, which is one of the major processes in HEVC video compression standard. The proposed core transform architecture is implemented with only adders and shifters instead of area-consuming multipliers. Shifters in the proposed core transform architecture are implemented in wires and multiplexers, which significantly reduces chip area. Also, it can process from to blocks with common hardware by reusing processing elements. Designed core transform architecture in 0.13um technology can process a block with 2-D transform in 130 cycles, and its gate count is 101,015 gates.

Design and application of a real-time industrial Ethernet protocol under Linux using RTAI

Nowadays, Ethernet networks have been extended down into the field of automation control from the upper planning and scheduling level, which caused the generation of a new form of communication using real-time industrial Ethernet fieldbus. This paper presents a feasible Ethernet-based real-time feildbus scenario for industrial automation control systems. It endeavours to gain high performance in general synchronisation real-time control systems with common hardware and software resources. For this purpose, a master-slave pattern is adopted in constructing the communication protocol. The slave nodes are developed based on universal FPGA and ARM chips, and the first slave node is in charge of precise cyclic timing and synchronisation among all slave nodes with time resolution of 20 nanoseconds. The master protocol stack is developed under Linux using Real Time Application Interface (RTAI), which not only provides application interface for user programs but also is responsible for exchanging process data with slave nodes in real time. A case study of merging this fieldbus into EMC2 to control a three-axis milling machine is also discussed and implemented. The experiment results show that this industrial Ethernet fieldbus platform completely meets the demand of open industrial automation control application.

Managing IT Infrastructure in Banks: Gap Analysis of UAE Banks

IT infrastructure is increasingly seen as an important factor affecting a banks competitive performance. IT infrastructure is the enabling base of shared IT capabilities that provide the foundation for other business systems. Banking IT infrastructure typically consists of IT components like common hardware, software, communication technology, databases, standards, tools etc. These provide the base for shared services between a large range of business application. IT infrastructure differs from business application in that it serves a shared and common enabling foundation for the future applications and services of all business units.

OPTIMIZATION OF COMPOSITIONAL MICROPROGRAMMING CONTROL UNIT WITH COMMON MEMORY

A method for reducing the hardware amount in the circuit of compositional microprogramming control unit with common memory oriented to FPGA technology is proposed . The restrictions of LUT’s input number are taken into account. The method is based on the use of two sources of codes classes of pseudoequivalent operational linear chain and use a multiplexer to choose one of these sources. Also the surplus of FPGA’s embedded memory blocks is used. Such an approach would reduce the number of LUT elements in the addressing subcircuit of compositional microprogramming control unit, that leads to reducing of common hardware amount and price of the unit. An example of the proposed method application is given.

Interactive Level-of-Detail Rendering of Large Graphs.

We propose a technique that allows straight-line graph drawings to be rendered interactively with adjustable level of detail. The approach consists of a novel combination of edge cumulation with density-based node aggregation and is designed to exploit common graphics hardware for speed. It operates directly on graph data and does not require precomputed hierarchies or meshes. As proof of concept, we present an implementation that scales to graphs with millions of nodes and edges, and discuss several example applications.

The Contactless Card Reader Based on Microcontrollers

Contactless cards are smart cards with microprocessor cores. Their applications of are very popular, such as public transports, access control, cashless payment, campus solution and so on. Reader is an essential part for smart card applications. It can identify cards, read/write data on cards. Microcontrollers are common hardware for embedded applications. With microcontrollers, the readers of contactless cards will be smart and easy to be used. In this paper, smart cads, contactless cards, readers, microcontrollers and design of a reader with microcontrollers are discussed.

АНАЛИЗ ОТЕЧЕСТВЕННЫХ И ЗАРУБЕЖНЫХ СИСТЕМ УПРАВЛЕНИЯ СОСТОЯНИЕМ ОБОРУДОВАНИЯ

У статті проведено дослідження найбільш поширених систем управління станом обладнання. Проаналізовано ключові особливості, інструменти, основні учасники, переваги і недоліки систем, що представлені. На основі аналізу і практичного досвіду функціонування систем управління станом обладнання запропонована оптимальна для сучасних машинобудівних і металургійних підприємств України – ефективне обслуговування. В статье проведено исследование наиболее распространённых систем управления состоянием оборудования. Проанализированы ключевые особенности, инструменты, основные участники, преимущества и недостатки представленных систем. На основе анализа и практического опыта функционирования систем управления состоянием оборудования предложена оптимальная для современных машиностроительных и металлургических предприятий Украины– эффективное обслуживание The paper investigated the most common systems management hardware status. Analyzed key features, tools, key players, the advantages and disadvantages presented systems. Based on the analysis and experience of the functioning of control systems the optimum condition of the equipment offered for modern engineering and metallurgical enterprises of Ukraine - Effective Maintenance.

Optimal policies for inventory systems with two types of product sharing common hardware platforms: Single period and finite horizon

In this paper, we consider an inventory system whose products share a common hardware platform but are differentiated by two types of software. Choice of different software results in different installation cost and different selling price of the whole product. Product with different software also faces different customer demand. We investigate the optimal proportion of an order to be installed with software 1 or 2, that maximizes expected profit in the single and multiple period scenarios, respectively. The optimal policy is analytically obtained and proved to be an order-up-to policy in each scenario. Our investigation reveals that whether to replenish, and how much to replenish each product depend not only on its own initial inventory level, and system parameters, but also the initial inventory level of the other product. We perform numerical experiments using the optimal policies we have derived in the paper.

Multimodality Image Fusion–Guided Procedures: Technique, Accuracy, and Applications

Personalized therapies play an increasingly critical role in cancer care: Image guidance with multimodality image fusion facilitates the targeting of specific tissue for tissue characterization and plays a role in drug discovery and optimization of tailored therapies. Positron-emission tomography (PET), magnetic resonance imaging (MRI), and contrast-enhanced computed tomography (CT) may offer additional information not otherwise available to the operator during minimally invasive image-guided procedures, such as biopsy and ablation. With use of multimodality image fusion for image-guided interventions, navigation with advanced modalities does not require the physical presence of the PET, MRI, or CT imaging system. Several commercially available methods of image-fusion and device navigation are reviewed along with an explanation of common tracking hardware and software. An overview of current clinical applications for multimodality navigation is provided.

The Implantable Cardioverter-Defibrillator Minimalist

The implantable cardioverter-defibrillator (ICD) was devised to satisfy the unmet need for an effective, instantaneous therapy to prevent sudden cardiac death (SCD) due to ventricular fibrillation (VF) in at-risk, ambulatory patients. That therapy was a high-voltage electric shock delivered directly into the heart muscle. More than 3 decades later, shocks are still the defining operating characteristic of ICDs, and no other instantaneously effective therapy for VF exists. This elite status was clinched by large randomized clinical trials1,2 which demonstrated that ICDs improved mortality in patients with reduced left ventricular ejection fraction, regardless of pathogenesis or accompanying symptoms of heart failure (HF), by primary prevention of SCD due to ventricular tachyarrhythmia (VTA). Like bradycardia pacemakers for asystole, the ICD resides as a therapy genre of one, with no peer, and no competitor on the horizon. These sibling therapies for lethal heart rhythm disturbances will stand prominently among the greatest medical achievements of the 20th century. The ICD is a mature technology, and neither the technique nor the tools have changed much for several decades. Despite a certain evolutionary elegance of the operating system, the ICD is still a blunt instrument. Although it is true that some innovation has occurred, it is still a matter of a shock delivered by insulated metal conductors residing somewhere in direct proximity to the heart. No innovation beyond the fundamental of a timed shock for VF has proven to enhance mortality benefit. The basic design persists simply because no one can think of a suitable alternative and the self-satisfying aphorism that “shocks save lives.” Yet there is a growing intellectual dissatisfaction with the unintended consequences of this powerful, irreplaceable therapy. The stimulus for this self-inspection is an awareness of the very high morbidity risk overhead borne by the primary prevention patient, in particular, …