Two-pass real-time direct isosurface rendering algorithm optimization for HTC Vive and low performance devices

2018 ◽  
Author(s):  
Daniil Savchuk ◽  
Sergey Y. Belyaev
Keyword(s):  
Real Time ◽  
Algorithm Optimization ◽  
Isosurface Rendering ◽  
Low Performance

A Novel Approach in Scheduling Of the Real- Time Tasks In Heterogeneous Multicore Processor with Fuzzy Logic Technique For Micro-grid Power Management

2018 ◽  
Vol 9 (1) ◽  
pp. 80
Author(s):  
Lavanya Dhanesh ◽  
P. Murugesan
Keyword(s):  
Fuzzy Logic ◽  
Real Time ◽  
Power Management ◽  
Execution Time ◽  
High Performance ◽  
Scheduling Algorithm ◽  
Multicore Processor ◽  
Heterogeneous Multicore ◽  
Micro Grid ◽  
Low Performance

Scheduling of tasks based on real time requirement is a major issue in the heterogeneous multicore systemsfor micro-grid power management . Heterogeneous multicore processor schedules the serial tasks in the high performance core and parallel tasks are executed on the low performance cores. The aim of this paper is to implement a scheduling algorithm based on fuzzy logic for heterogeneous multicore processor for effective micro-grid application. Real – time tasks generally have different execution time and dead line. The main idea is to use two fuzzy logic based scheduling algorithm, first is to assign priority based on execution time and deadline of the task. Second , the task which has assigned higher priority get allotted for execution in high performance core and remaining tasks which are assigned low priority get allotted in low performance cores. The main objective of this scheduling algorithm is to increase the throughput and to improve CPU utilization there by reducing the overall power consumption of the micro-grid power management systems. Test cases with different task execution time and deadline were generated to evaluate the algorithms using  MATLAB software.

A massive images classification method based on MapReduce parallel fuzzy C-means clustering

2021 ◽  
pp. 1-13
Author(s):  
Jinping Hu ◽  
Qian Cheng ◽  
Zhicheng Wen
Keyword(s):  
Real Time ◽  
Gray Level ◽  
Processing Efficiency ◽  
Single Node ◽  
Real Time Processing ◽  
Fuzzy C Means ◽  
Fuzzy C Means Clustering ◽  
Low Performance ◽  
Speedup Ratio ◽  
Occurrence Matrix

Aiming at the low performance of classifying images under the computing model of single node. With GLCM (Gray Level Co-occurrence Matrix) which fuses gray level with texture of image, a parallel fuzzy C-means clustering method based on MapReduce is designed to classify massive images and improve the real-time performance of classification. The experimental results show that the speedup ratio of this method is more than 10% higher than that of the other two methods, moreover, the accuracy of image classification has not decreased. It shows that this method has high real-time processing efficiency in massive images classification.

scholarly journals MiniTEE—A Lightweight TrustZone-Assisted TEE for Real-Time Systems

Electronics ◽  
2020 ◽  
Vol 9 (7) ◽  
pp. 1130
Author(s):  
Songran Liu ◽  
Nan Guan ◽  
Zhishan Guo ◽  
Wang Yi
Keyword(s):  
Real Time ◽  
Large Time ◽  
Real Time Systems ◽  
Industry Standard ◽  
Large Memory ◽  
Temporal Predictability ◽  
The Rich ◽  
Low Performance ◽  
Time Systems ◽  
Time Overhead

While trusted execution environments (TEEs) provide industry standard security and isolation, TEE requests through secure monitor calls (SMCs) attribute to large time overhead and weakened temporal predictability. Moreover, as current available TEE solutions are designed for Linux and/or Android initially, it will encounter many constraints (e.g., driver libraries incompatible, large memory footprint, etc.) when integrating with low-end Real-Time Operating Systems, RTOSs. In this paper, we present MiniTEE to understand, evaluate and discuss the benefits and limitations when integrating TrustZone-assisted TEEs with RTOSs. We demonstrate how MiniTEE can be adequately exploited for meeting the real-time needs, while presenting a low performance overhead to the rich OSs (i.e., low-end RTOSs).

A Template Matching Method Based on Genetic Algorithm Optimization

2012 ◽  
Vol 220-223 ◽  
pp. 1298-1302 ◽  
Author(s):  
Xiao Hui Zhang ◽  
Qing Liu ◽  
Mu Li
Keyword(s):  
Genetic Algorithm ◽  
Real Time ◽  
Template Matching ◽  
Fitness Function ◽  
Image Process ◽  
Algorithm Optimization ◽  
Matching Method ◽  
Correlation Degree ◽  
Degree Function ◽  
Effective Performance

This paper presents a method of using Genetic Algorithm (GA) to optimize template and image searching process, using template matching to recognize target. An initial matching template is set manually according to 2D shape and the optimizing template is obtained by GA optimizing to meet the requirement of real-time and effective performance. Then the pixel position is encoded into genes, template correlation degree function works as fitness function to do GA search to recognize the target. The relating image process experiments show that this method has good real-time and robustness performance.

Real-time isosurface rendering of smooth fields

2011 ◽  
Vol 15 (2) ◽  
pp. 179-187 ◽  
Author(s):  
Susumu Nakata ◽  
Shohei Aoyama ◽  
Ryosuke Makino ◽  
Kyoko Hasegawa ◽  
Satoshi Tanaka
Keyword(s):  
Real Time ◽  
Isosurface Rendering

Algorithm optimization for real-time simulation

1997 ◽  
Author(s):  
Harry Heaton ◽  
Jennifer D ◽  
Harry Heaton ◽  
Jennifer De Vilbiss
Keyword(s):  
Real Time ◽  
Algorithm Optimization ◽  
Real Time Simulation ◽  
Time Simulation

Label-free single-cell isolation enabled by microfluidic impact printing and real-time cellular recognition

Lab on a Chip ◽  
2021 ◽  
Author(s):  
Yiming Wang ◽  
Xiaojie Wang ◽  
Tingrui Pan ◽  
Baoqing Li ◽  
Jia-ru Chu
Keyword(s):  
Single Cell ◽  
Real Time ◽  
Cellular Heterogeneity ◽  
Single Cell Level ◽  
Label Free ◽  
Cell Level ◽  
Cellular Recognition ◽  
Single Cell Isolation ◽  
Low Performance ◽  
Cellular Components

Analysis of cellular components at single-cell level is important to reveal cellular heterogeneity. However, current technologies to isolate individual cells are either label-based or with low performance. Here, we present...

Some Recent Results in Quiescent Prominence Spectrometry

1979 ◽  
Vol 44 ◽  
pp. 41-47
Author(s):  
Donald A. Landman
Keyword(s):  
Real Time ◽  
Computer System ◽  
Spectral Response ◽  
Absolute Intensity ◽  
Solar Observatory ◽  
Target Size ◽  
Small Target ◽  
Signal Averaging ◽  
Quiescent Prominence

This paper describes some recent results of our quiescent prominence spectrometry program at the Mees Solar Observatory on Haleakala. The observations were made with the 25 cm coronagraph/coudé spectrograph system using a silicon vidicon detector. This detector consists of 500 contiguous channels covering approximately 6 or 80 Å, depending on the grating used. The instrument is interfaced to the Observatory’s PDP 11/45 computer system, and has the important advantages of wide spectral response, linearity and signal-averaging with real-time display. Its principal drawback is the relatively small target size. For the present work, the aperture was about 3″ × 5″. Absolute intensity calibrations were made by measuring quiet regions near sun center.

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