Advances in Computers and Electronics (ACE) (ISSN: 2705-0661) is an international, peer-reviewed, open access journal on the science of advances in the development and application of computer hardware, software, electronic instrumentation, and control systems, etc. It publishes reviews, research articles, short communications, applications notes and letters pertaining to advances in the use of computers or electronics. Manuscripts regarding research proposals and research ideas will be particularly welcomed. Electronic files or software regarding the full details of the calculation and experimental procedure, if unable to be published in a normal way, can be deposited as supplementary material.

Topics of interest include, but are not limited to the following:
--Computer hardware
--Computer software
--Electrical circuits & devices
--Microelectronics and computer technology
--Computer science and engineering
--Communications & information processing
--Electrical engineering communications
--Signal processing
--Measurements technology
--Microwave and electronic system engineering
--Microelectronics and optoelectronics
--Systems & control engineering
--Power electronics and energy systems

Vol 2 No 1 (2021)

Published: 2021-04-28

Abstract views: 175   PDF downloads: 57  

Page 10-21

Motion-core assistive tools using pervasive embedded intelligence

blankpage S.M. Namal Arosha Senanayake

Real-time human movement monitoring anywhere at any time is time critical depending on core human motion activities, in particular nation’s valuable asserts; athletes and soldiers considered as reference standard of any society. Light weight wearable technologies are the key measurements and instruments system integrated to develop human motion-core assistive tools (MAT) using pervasive embedded intelligence. Unlike many existing motion analysis models, motion-core models are based on domain specific data service architectures beyond cloud technologies using inner data structures and data models created. Four layered micro system architecture that consists of sensing, networking, service and Motion-core IoT (MIoT) is proposed. Knowledge base was designed as a distributed and networked data center based on transient and resident data addressing modes in order to guarantee the secure data accessing, propagating, visualizing and control between these two modes of operations. While transient data change and avail in relevant clouds storages, corresponding resident data and processed data retain inside local servers or/and private clouds. Data mapping and translation techniques are applied for the formation of complete motion-core data packet related to the test subject under consideration. Thus, hybrid MIoT system is  developed using 3D decision fusion models which are the internationally quantifiable standards for assessing human motion set by trainers, coachers, physiotherapists and orthopedics. MIoT built as motion-core assistive tools have been tested for rehabilitation monitoring, injury prevention and performance optimization of athletes, soldiers, and general public. The hybrid system introduced in this work is novel and proves lower down the latency and connectivity independence by allowing human movement analysis during daily active lifestyle.

Abstract views: 344   PDF downloads: 88  

Page 8-9

Mathematical developments in the simulation hypothesis

blankpage Ravin Kumar

Simulation Hypothesis is based on the idea that it might be the case that we all are present inside a computer. In this paper, we have performed some mathematical calculations based on the well-known equations of physics to further progress and understand the abilities and features of such a computer. One of our finding is the relationship of the essence of time between the computer and the simulation.

View All Issues

Dr. Rongli Gao  ISSN: 2705-0661
 Editor-in-Chief: Dr. Rongli Gao(China)
 Publishing Frequency: Bi-annual
 Article Processing Charges (APC):
Click  here   for more details
 Publishing Model:
Open Access