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The data protection is always a vital problem in the network era. High-speed cryptographic chip is an important part to ensure data security in information interaction. This paper aims to provide a new peripheral component interconnect express (PCIe) encryption card solution with high performance, high integration and low cost.

This work proposes a System on Chip architecture scheme of high-speed cryptographic chip for PCIe encryption card. It integrated CPU, direct memory access, the national and international cipher algorithm (data encryption standard/3 data encryption standard, Rivest–Shamir–Adleman, HASH, SM1, SM2, SM3, SM4, SM7), PCIe and other communication interfaces with advanced extensible interface-advanced high-performance bus three-level bus architecture.

This paper presents a high-speed cryptographic chip that integrates several high-speed parallel processing algorithm units. The test results of post-silicon sample shows that the high-speed cryptographic chip can achieve Gbps-level speed. That means only one single chip can fully meet the requirements of cryptographic operation performance for most cryptographic applications.

The typical application in this work is PCIe encryption card. Besides server’s applications, it can also be applied in terminal products such as high-definition video encryption, security gateway, secure routing, cloud terminal devices and industrial real-time monitoring system, which require high performance on data encryption.

It can be well applied on many other fields such as power, banking, insurance, transportation and e-commerce.

Compared with the current strategy of high-speed encryption card, which mostly uses hardware field-programmable gate arrays or several low-speed algorithm chips through parallel processing in one printed circuit board, this work has provided a new PCIe encryption card solution with high performance, high integration and low cost only in one chip.

The purpose of this paper is to investigate possibilities to adopt state-of-the-art computer graphics technologies for big data visualization in engineering applications. Toward this purpose, a conceptual heterogeneous system is proposed for graphical rendering, which is established with multiple central processing unit cores and multiple graphics processing unit GPUs.

The design of the system supports both general-purpose computation and graphics-related computation. Three processing components are discussed to fulfill the execution requirements in load balancing, data streaming and display. This design fully uses computational and memory resources and enhances the performance with the support of GPU-based parallelization.

The advantages and disadvantages of particular technical methods for each processing component are discussed. The possible ways to integrate them are analyzed.

This work has contributions of using computer graphics technologies in engineering applications.

Computer matching is a mass surveillance technique involving the comparison of data about many people, which have been acquired from multiple sources. Its use offers potential benefits, particularly financial savings. It is also error‐prone, and its power results in threats to established patterns and values. The imperatives of efficiency and equity demand that computer matching be used, and the information privacy interest demands that it be used only where justified, and be subjected to effective controls. Provides background to this important technique, including its development and application in the USA and in Australia, and a detailed technical description. Contends that the technique, its use, and controls over its use are very important issues which demand research. Computing, telecommunications and robotics artefacts which have the capacity to change society radically need to be subjected to early and careful analysis, not only by sociologists, lawyers and philosophers, but also by information technologists themselves.

The purpose of this paper is to review the challenges present in the development of hand exoskeletons powered by pneumatic artificial muscles. This paper also presents the development of a novel strain sensor and its application in a five‐fingered hand exoskeleton.

The issues of current hand exoskeletons powered by pneumatic artificial muscles are examined by studying the artificial muscles and the human hand anatomy. Traditional sensors are no longer suitable for applications in hand exoskeletons. A novel strain sensor was developed by depositing a conducting polymer called polypyrrole onto a natural rubber substrate through vapor phase polymerization and is used in the authors' five‐fingered hand exoskeleton.

The error of measurements from the polypyrrole strain sensor in controlling the actuation of pneumatic artificial muscles is within 1.5 mm. The small physical size and weight of the novel polypyrrole strain sensor also helped to keep the exoskeleton's profile (less than 20 mm) and total weight low (<1 kg).

The novel strain sensor allows the realization of hand exoskeletons that are lightweight, portable and low profile. This improves the comfort and practicality of hand exoskeletons to allow their usage outside the research environment.

Deep learning techniques are unavoidable in a variety of domains such as health care, computer vision, cyber-security and so on. These algorithms demand high data transfers but require bottlenecks in achieving the high speed and low latency synchronization while being implemented in the real hardware architectures. Though direct memory access controller (DMAC) has gained a brighter light of research for achieving bulk data transfers, existing direct memory access (DMA) systems continue to face the challenges of achieving high-speed communication. The purpose of this study is to develop an adaptive-configured DMA architecture for bulk data transfer with high throughput and less time-delayed computation.

The proposed methodology consists of a heterogeneous computing system integrated with specialized hardware and software. For the hardware, the authors propose an field programmable gate array (FPGA)-based DMAC, which transfers the data to the graphics processing unit (GPU) using PCI-Express. The workload characterization technique is designed using Python software and is implementable for the advanced risk machine Cortex architecture with a suitable communication interface. This module offloads the input streams of data to the FPGA and initiates the FPGA for the control flow of data to the GPU that can achieve efficient processing.

This paper presents an evaluation of a configurable workload-based DMA controller for collecting the data from the input devices and concurrently applying it to the GPU architecture, bypassing the hardware and software extraneous copies and bottlenecks via PCI Express. It also investigates the usage of adaptive DMA memory buffer allocation and workload characterization techniques. The proposed DMA architecture is compared with the other existing DMA architectures in which the performance of the proposed DMAC outperforms traditional DMA by achieving 96% throughput and 50% less latency synchronization.

The proposed gated recurrent unit has produced 95.6% accuracy in characterization of the workloads into heavy, medium and normal. The proposed model has outperformed the other algorithms and proves its strength for workload characterization.

This article examines the technological changes that have occurred in information processing since the passage of the Privacy Act in 1974 and concludes that new computer and telecommunications applications have undermined the goal of the Act that individuals be able to control information about themselves.

We investigate whether auditor size is associated with the disclosure of internal control exceptions among Circular A-133 audits of nonprofit healthcare organizations. Our analysis is motivated by recent growth and transparency concerns within the sector. Using a sample of 1,180 audit reports from 2004 to 2008, we find evidence that audits performed by Big 4 firms are less likely to disclose internal control weaknesses than those performed by smaller firms. Additional analyses indicate this relation only remains statistically significant for a subsample of small organizations, possibly due to greater selectivity or lower efforts by the Big 4 auditors. We discuss the implications of these findings from an audit quality, market dominance, and client size perspective. The results are relevant to hospital financial managers seeking high quality audits at low cost.

This paper aims to analyze the impact of non-perfect reference plane on the integrity of microstrip differential signals at multi-gigabit transmission on a printed circuit board (PCB). The effects of non-perfect reference contributed by signal crossing over split plane such as impedance discontinuity and crosstalk are investigated by performing analysis in two phases.

The first phase involves three-dimensional electromagnetic modeling extraction using Keysight EMPro software. Meanwhile, the second phase involves the import of model extracted from EMPro into simulation using Keysight Advanced Design System that covers insertion loss, return loss, crosstalk, time domain reflectometry and eye diagram.

A non-perfect reference plane has a negative impact on signal reflection, attenuation and crosstalk. The analysis results are presented and discussed in detail in the later section of this paper.

The work that studied the impact of the width and the amount of gaps due to crossing of split planes being experienced on the signal integrity was performed by other researchers. Meanwhile, this paper focused on the impact of length and depth of the gap on signal integrity. These research papers serve as a reference guide for high-speed PCB layout design.

This paper aims to propose a pulsing type joint servo driver-based obstacle surmounting method for a humanoid robot according to the whole-body dynamics model, which fully takes into account the relationship between the whole-body stability margin and instantaneous torque.

First, the authors designed a new practical instantaneous large torque strategy for a pulsing type joint servo driver by modeling the whole-body dynamics of the humanoid robot. The work also considered joint angle planning based on the dynamic model for crossing obstacles. Second, in the simulation and experimentation, the instantaneous torque of the driver is used to realize successful crossing of obstacles by the humanoid robot. This verifies the correctness of the whole-body dynamics model and the feasibility of the method for crossing obstacles.

The experimental data and results are described and analyzed, showing that the proposed method is feasible and effective through simulation and implementation.

The main contribution is the humanoid robot’s actuation control technology and humanoid action realization, which could be used for squatting and moving heavy objects to help a humanoid robot adapt effectively.