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Keyword: computingFine Tuning the Performance of Parallel Codes
We propose a multilevel method to speed highly optimized parallel codes whose runtime increases faster than their workload. This method requires the ability to solve large in- stances by decomposing them into smaller instances. Using a simple parallel computing model, we derive a mathematical model that predicts whether or not our method can im- prove…
Read MoreApplication of EARLYBREAK for Line Segment Hausdorff Distance for Face Recognition
The Hausdorff distance (HD) is defined as MAX-MIN distance between two geometric objects for measuring the dissimilarity between two objects. Because MAX-MIN distance is sensitive with the outliers, in face recognition field, average Hausdorff distance is used for measuring the dissimilarity between two sets of features. The computational complexity of HD, and also average HD,…
Read MoreEstimation of Influential Parameter Using Gravitational Search Optimization Algorithm for Soccer
Competitive sport has one phenomenal or fundamental aspect of selecting players into playing squad for a game that can influence a Club or a team in almost all major aspects. Various Characteristics or behavioral aspects of players will be instrumental towards the selection of a specific player into a team depending on the nature, level,…
Read MoreBased on Reconfiguring the Supercomputers Runtime Environment New Security Methods
This paper is an extension of work originally presented in 2019 Third World Conference on Smart Trends in Systems Security and Sustainability (WorldS4). Author describes two new methods: reactive protection method (without delay after detecting an attack), which consists in virtualizing the execution environment of supercomputers processes if the calculated state descriptor falls into the…
Read MoreEvolution of Privacy Preservation Models in Location-Based Services
Location-based services have become increasingly prevalent with the advancement in the positioning capabilities of smart devices and their emergence in social networking. In order to acquire a service, users must submit their identity, query interest and location details to service providers. Such information shared by users are accumulated continuously, stored and analyzed in order to…
Read MoreROS Based Multimode Control of Wheeled Robot
This research work mainly presents the design and development of a small-scaled wheeled robot, which can be controlled using multiple controlling interfaces using some new technological trends. Raspberry Pi 3 as the main controller, Python as the programming language integrated with the Robot Operating System (ROS) and Virtual Network Computing (VNC) for screen sharing are…
Read MoreA Comparative Analysis of ARIMA and Feed-Forward Neural Network Prognostic Model for Bull Services
Bull service is the natural copulation by a purebred male carabao with a female counterpart. This is part of the bull loan agenda of the Philippine Carabao Center-Visayas State University (PCC-VSU), one of the 12 regional centers of PCC. For the past years, PCC-VSU used averaging of bull services count of previous years and sometimes…
Read MoreA Sustainable Multi-layered Open Data Processing Model for Agriculture: IoT Based Case Study Using Semantic Web for Hazelnut Fields
In recent years, several projects which are supported by information and communications technologies (ICT) have been developed in the agricultural domain to promote more precise agricultural activities. These projects account for different kinds of key ICT terms such as internet of things (IoT), wireless sensors networks (WSN), cloud computing (CC). These projects are used for…
Read MoreAn Algorithm to Improve Data Accuracy of PMs Concentration Measured with IoT Devices
Air pollution is responsible for increased morbidity and mortality due to respiratory problems mainly caused by long term exposure. Although the emissions of principal air pollutants are highly regulated, there is a lack of information about the real extent of personal exposure for an accurate health impact assessment. To tackle these challenges, local air pollution…
Read MorePerformance Evaluation and Examination of Data Transfer: A Review of Parallel Migration in Cloud Storage
Recent years have seen a continued pattern of development in the cloud computing field. Numerous approaches to maximize file transfer capacity are still completely standing for use on cloud computing storage; however, they do not maximize the advantage of data migration scalability and elasticity in cloud storage. One potential problem is that elasticity takes time;…
Read MoreDesign and Validation of a Meter Band Rate in OpenFlow and OpenDaylight for Optimizing QoS
Technological developments in the Internet and communications have created a vastly complex and dynamic context with diverse heterogeneous networks and fast growth of mobile devices and multimedia. As the Internet becomes the primary mode of communication for many organisations there is requirement to enhance quality of service (QoS) from heterogeneous systems and networks. Traditional networks…
Read MoreResource Selection Service Based on Neural Network in Fog Environment
As an emergent technology in Internet of Things (IoT), the ultimate target of fog computing is to provide a widely distributed computational resources and data repository closer to the network edge providing heterogeneous systems both in terms of software and hardware. The fog system must have the capability to deal with huge number of resources…
Read MoreEnabling 3D Heterogeneous Structures Towards Smart Chips: A Review
This review paper discusses recent research outcomes of fabricating three-dimensional (3D) heterogeneous structures in complementary metal-oxide-semiconductor (CMOS) integrated circuit (IC) technologies to enable smart future chips. The CMOS-based 3D heterogeneous structures demonstrated are vertical magnetic-cored inductors for radio-frequency (RF) ICs, through-back-end-of-line (BEOL) metal wall structures for global flying noise isolation, above-IC nano crossbar array electrostatic…
Read MorePerformance Portability and Unified Profiling for Finite Element Methods on Parallel Systems
The currently available variety of modern, highly-parallel universal processors includes multi-core CPU and many-core GPU (Graphics Processing Units) from different vendors. Systems composed of such processors enable high-performance execution of demanding applications like numerical Finite Element Methods. However, today’s application pro- gramming for parallel systems lacks performance portability: the same program code cannot achieve stable…
Read MoreDevelopment of Evaluation Metrics for Learners in Unplugged Activity
As well as physical computing, unplugged activity is important in ICT (Information and Communication Technology) education, that uses information and communications technology to support, enhance, and optimize the delivery of information, and software education. In order to achieve educational objectives in unplugged activity, evaluation metrics of learners are necessary. However, there is little work on…
Read MoreFuzzy Simulation of Historical Associative Thesaurus
Research is dedicated to fuzzy reconstructions in the diachronic associative linguistics, and encompasses several simulation practices. The principles of an associative memory model and fuzzy computing with words are adopted in the working methodology. The evolved mathematical model reanimates the older patterns of Scottish associative map by means of fuzzy logic. The compiled fuzzy associative…
Read MoreDevelopment of Teaching Aids Selection Standards in Maker Education
Due to the recent development of information and communication technology, such as sensor technology, IoT technology, and smart technology, interest in maker education is increasing. Maker education offers students experience-based education that allows them to make their own results, giving them various interests and motivations. Recently, various research results on maker education have been under…
Read MoreEmbedded Artificial Neural Network FPGA Controlled Cart
An artificial neural network (ANN) computing system can be significantly influenced by its implementation type. The software implemented ANN can produce high accuracy output with slow computation time performance compared to hardware implemented ANN which runs at a faster computation time but with low accuracy. Normally, software implementation reduces the proficiency and efficiency of the…
Read MoreQuantitative Traffic Congestion Analysis Approach in Ahmedabad
This study is the extension of the previous study about “Traffic Service Quantitative Analysis Method under Developing Country” in 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI). In the previous study, it is introduced how to make quantitative calculation for traffic congestion by traffic parameters and its characteristics curve such as traffic…
Read MoreCloud Service Level Agreements and Resource Management
Cloud computing is a technical “as-a-service” usage model utilizing virtualization. Virtual machines are the core of cloud computing that runs as independent machine grouped into different networks within the hypervisor. Practically done by deployment of clouds computing hosts enterprise servers in virtual machines on an array of high-end servers. Managing cloud resources has to do…
Read MoreVirtualization in Cloud Environment: Bandwidth Management
Cloud computing recently emerged as an interesting model that enables computing and other related internet activities to take place anywhere, anytime. Cloud service providers centralize all servers, networks, and applications to allow their users’ access at any time and from any location. Cloud computing uses already existing resources like server, CPU and storage memory but…
Read MoreA Systematic Mapping Study of Cloud, Fog, and Edge/Mobile Devices Management, Hierarchy Models and Business Models
Cloud computing is an exceptional paradigm, which is facilitating the developments and utilization of resources over the internet. Fog computing operates at the edge of the network saving bandwidth, by not sending all information to the cloud, while edge computing does processing of data at the edge of the cloud. Edge computing reduces the distance…
Read MoreThe Chimera and the Cyborg
High Performance Computing (HPC) systems offer excellent metrics for speed and efficiency when using bare metal hardware, a high speed interconnects, and massively parallel applications. However, this leaves out a significant portion of scientific computational tasks, namely high throughput computing tasks that can be trivially parallelized and scientific workflows that require their own well-defined software…
Read MoreA Proposed Architecture for Parallel HPC-based Resource Management System for Big Data Applications
Big data can be considered to be at the forefront of the present and future research activities. The volume of data needing to be processed is growing dramatically in both velocity and variety. In response, many big data technologies have emerged to tackle the challenges of collecting, processing and storing such large-scale datasets. High-performance computing…
Read MoreMachine Learning Applied to GRBAS Voice Quality Assessment
Voice problems are routinely assessed in hospital voice clinics by speech and language therapists (SLTs) who are highly skilled in making audio-perceptual evaluations of voice quality. The evaluations are often presented numerically in the form of five-dimensional ‘GRBAS’ scores. Computerised voice quality assessment may be carried out using digital signal processing (DSP) techniques which process…
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