scholarly journals Comparison of Hardwired and Microprogrammed Statechart Implementations

Electronics ◽  
2020 ◽  
Vol 9 (7) ◽  
pp. 1139
Author(s):  
Javier Cereijo García ◽  
Roberto R. Osorio
Keyword(s):  
Control Systems ◽  
Particle Accelerators ◽  
Description Language ◽  
State Chart ◽  
Finite State ◽  
Hardware Description ◽  
Control Configuration ◽  
And Performance ◽  
The Right ◽  
Short Time

In scientific facilities such as particle accelerators, fast and jitter-free synchronization is required in order to trigger a large number of actuators at the right time in a variety of situations. The behaviour of the control systems and subsystems may be specified by using statechart diagrams, which expand the capabilities of finite state machines allowing concurrency, a hierarchy of states, and history. Hence, there is a need of tools for synthesizing those diagrams so that a new control configuration may be deployed in a short time and an error-free manner in the required environments. In this work, we present a tool that analyses the specification of a variant of the State Chart XML (SCXML) standard tailored to hardware systems and produces a hardware description language (HDL) code suited to implement the required control systems using FPGAs. A number of solutions are provided to deal with the specific features of statecharts, such as multiple triggering events and concurrent super-states. We also present a microprogrammed architecture able to implement statecharts defined as firmware. Finally, we compare the advantages of each strategy in terms of usability, resource usage, and performance, and their applicability to a specific facility is evaluated.

scholarly journals Design, Simulation and Implementation of an Active Sound-Noise Cancellation System for Use in a Cockpit Intercommunication System

2012 ◽  
Vol 10 (5) ◽  
Author(s):  
O. Sharifi-Tehrani
Keyword(s):  
Active Noise Control ◽  
Description Language ◽  
Noise Sources ◽  
Electronic Warfare ◽  
Active Structure ◽  
Hardware Description ◽  
Adaptive Noise ◽  
System On Programmable Chip ◽  
And Performance

In this paper, an active noise control system for denoising the intercommunication signal of an airplane cockpit isproposed. Noise sources such as engines degrade the quality of the intercommunication signal, especially in the caseof the pilot and copilot headsets. A two-microphone active adaptive noise controller is designed by using an adaptiveFIR filter in an active structure. The designed system is simulated and also implemented in real environment usingreal speech signals, periodic noise and AWGN noise. Also, an FPGA-based hardware implementation utilizing a novelmethod is provided. The whole design is considered an FPGA hardware core with low resource utilizations which issuitable for HW/SW codesign and System-on-Programmable-Chip (SoPC) applications. The codes have been writtenby using the VHDL93 hardware description language, the XilKernel embedded operating system and a finite statemachine. The obtained results showed competent functionality and performance of the proposed system. This ICSnoise removal architecture can be used on any cargo, civil or fighter platform (such as C-130, IR-AN 140 and F5-F)and also in radar and electronic warfare (EW) systems (for clutter/interference compensation) with minimum hardwareor software changes.

Implementation of DES Encryption Algorithm Based on FPGA and Performance Analysis

2011 ◽  
Vol 130-134 ◽  
pp. 2953-2956
Author(s):  
Ji Hong Lian ◽  
Kai Chen
Keyword(s):  
Performance Analysis ◽  
Processing Speed ◽  
Hardware Description Language ◽  
Encryption Algorithm ◽  
Pipeline Architecture ◽  
Description Language ◽  
Round Function ◽  
Quartus Ii ◽  
Hardware Description ◽  
And Performance

This paper introduced the principle of DES encryption algorithm, designed and realized the DES encryption algorithm with verilog hardware description language, realized module simulation with Quartus II. Two comprehensive considerations from the resources and performance, one pipeline stage control is set in round function to improve the processing speed, Synchronous pipeline architecture of data XOR key round function and Key transformation function is realized on hardware to reducing logic complexity of the adjacent pipeline, round function multiplexing is realized by setting the round counter and controlling the data selector.

Rancangan Sistem Pengukuran Kinerja Berbasis Human Resource Scorecard Pada Universitas Muhammadiyah Luwuk

2020 ◽  
Vol 10 (1) ◽  
pp. 63-71
Author(s):  
Nurhaeda Abbas ◽  
Anggraini Sukmawati ◽  
Muhammad Syamsun
Keyword(s):  
Performance Measurement ◽  
Human Resource ◽  
Performance Measurement System ◽  
Group Discussions ◽  
Strategic Objectives ◽  
Depth Interview ◽  
And Performance ◽  
The Right ◽  
Hierarchy Process ◽  
The Relationship

Today the performance measurement of Muhammadiyah Luwuk uUniversity’s performance has not formulated yet based on University’s vision and mission. It will affect the strategic steps needed and performance improvement efforts in the future.  Human resource scorecard is the right system to be applied in Muhammadiyah Luwuk University. The purpose of this study is to designed a performance measurement system at Muhammadiyah Luwuk University using the Human Resource Scorecard with four perspectives: stakeholder, academic management and kemuhammadiyaan, operational and innovation, as well as and learning. Data was analyzed by analytical hierarchy process method. This research was conducted by distributing questionnaires, focus group discussions and in-depth interview with stakeholders at Muhammadiyah Luwuk University. The results showed that there were 14 strategic objectives and 33 key performance indicators to be achieved by the priority objectives, which are: empowerment and development of faculty, increased administrative process quality, improved sound budget performance and, improvement of the relationship with stakeholders.

scholarly journals Hand Preference and Performance in Basketball Tasks

2019 ◽  
Vol 16 (22) ◽  
pp. 4336 ◽  
Author(s):  
Emanuela Gualdi-Russo ◽  
Natascia Rinaldo ◽  
Alba Pasini ◽  
Luciana Zaccagni
Keyword(s):  
Professional Training ◽  
Factor Model ◽  
Hand Preference ◽  
Control Group ◽  
Basketball Players ◽  
Confirmatory Factor Analyses ◽  
Left Hand ◽  
Confirmatory Factor ◽  
And Performance ◽  
The Right

The aims of this study were to develop and validate an instrument to quantitatively assess the handedness of basketballers in basketball tasks (Basketball Handedness Inventory, BaHI) and to compare it with their handedness in daily activities by the Edinburgh Handedness Inventory (EHI). The participants were 111 basketballers and 40 controls. All subjects completed the EHI and only basketballers filled in the BaHI. To validate the BaHI, a voluntary subsample of basketballers repeated the BaHI. Exploratory and confirmatory factor analyses supported a two-factor model. Our results show that: (i) Handedness score (R) in daily actions did not differ between basketball players (R by EHI = 69.3 ± 44.6) and the control group (R by EHI = 64.5 ± 58.6); (ii) basketballers more frequently favored performing certain sport tasks with the left hand or mixed hands (as highlighted by R by BaHI = 50.1 ± 47.1), although their choice was primarily the right hand in everyday gestures; and (iii) this preference was especially true for athletes at the highest levels of performance (R by BaHI of A1 league = 38.6 ± 58.3) and for those playing in selected roles (point guard’s R = 29.4 ± 67.4). Our findings suggest that professional training induces handedness changes in basketball tasks. The BaHI provides a valid and reliable measure of the skilled hand in basketball. This will allow coaches to assess mastery of the ball according to the hand used by the athlete in the different tasks and roles.

scholarly journals Deep Learning Approach for Vibration Signals Applications

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3929
Author(s):  
Han-Yun Chen ◽  
Ching-Hung Lee
Keyword(s):  
Surface Roughness ◽  
Tool Wear ◽  
Parameters Optimization ◽  
Frequency Spectra ◽  
Vibration Signals ◽  
Bearing Faults ◽  
Time Frequency ◽  
And Performance ◽  
The One ◽  
Short Time

This study discusses convolutional neural networks (CNNs) for vibration signals analysis, including applications in machining surface roughness estimation, bearing faults diagnosis, and tool wear detection. The one-dimensional CNNs (1DCNN) and two-dimensional CNNs (2DCNN) are applied for regression and classification applications using different types of inputs, e.g., raw signals, and time-frequency spectra images by short time Fourier transform. In the application of regression and the estimation of machining surface roughness, the 1DCNN is utilized and the corresponding CNN structure (hyper parameters) optimization is proposed by using uniform experimental design (UED), neural network, multiple regression, and particle swarm optimization. It demonstrates the effectiveness of the proposed approach to obtain a structure with better performance. In applications of classification, bearing faults and tool wear classification are carried out by vibration signals analysis and CNN. Finally, the experimental results are shown to demonstrate the effectiveness and performance of our approach.

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