soft computing ieee papers 2019



soft Effectiveness of Molecules for Quantum Cellular Automata as Computing Devices
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Notwithstanding the increasing interest in Molecular Quantum-Dot Cellular Automata (MQCA) as emerging devices for computation, a characterization of their behavior from an electronic standpoint is not well-stated. Devices are typically analyzed with quantum physics

Computing Long Time Dynamics using Dynamically Corrected Kinetic Monte Carlo (DC-KMC)
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There have been numerous methodologies developed over the years to address the time scale problem associated with molecular dynamics (MD) simulations of complex biological systems. In recent years, Markov State Models (MSMs) have gained prominence in

Cloud Computing Challenges in a General Perspective
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Cloud computing has been growing rapidly since Amazon brought this idea to the public. Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources that can be rapidly provisioned and Cloud Computing has been increasingly incorporated by companies as a cost-effective way to make resources and services continuously available. However, as a consequence of service downtimes at cloud providers, achieving operational reliability and resource

The Whats Next Intermittent Computing Architecture
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Energy-harvesting devices operate under extremely tight energy constraints. Ensuring forward progress under frequent power outages is paramount. Applications running on these devices are typically amenable to approximation, offering new opportunities to provide

Surface-Free Protocol for Computing PKAs : Applications to Protein-Protein Interactions
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DelPhiPKa is widely used for accurate prediction of pKas of ionizable residues in proteins, DNAs and RNAs. DelPhiPKa approach is unique because it does not define the molecular surface, rather it uses a smooth Gaussian-based dielectric function throughout the space The recent advances in smartphone technologies have culminated in a surge in smart applications and use cases for these applications across the spectrum from government to gaming industry. This has placed a significant burden on the computation and other related

Soft Computing in Data Science
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Educational data mining has been widely used to predict student performance and establish intervention strategies to improve that performance. Most studies have implemented machine learning algorithms for interventions but the use of data mining in appraising The 2nd EAI International Conference on Computer Science and Engineering (COMPSE) 2018, held on March 2 3, 2018, at the Furama Silom Hotel, Bangkok, Thailand, convened several specialists in the field of engineering. The COMPSE has been established as an

Preparing Australia for genomic medicine: data, computing and digital health
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The knowledge gained from patients genome sequences will increasingly help inform their diagnoses and clinical management. For the health system, the aims of genomic medicine are faster and more accurate diagnosis, and the correct treatment first time. Research has

FPGA-based High-Performance Parallel Architecture for Homomorphic Computing on Encrypted Data
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Homomorphic encryption is a tool that enables computation on encrypted data and thus has applications in privacy-preserving cloud computing . Though conceptually amazing, implementation of homomorphic encryption is very challenging and typically software

Privacy and Security Issues of Cloud Computing Environment
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Cloud computing is a new computing paradigm that benefit from the distributed resources to solve large scale computing problems. During the last few years, cloud computing has grown rapidly as promising business idea in the IT industry due to its characteristics such as

Cloud Computing Characteristics and Services: A Brief Review
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This study helps organizations and individuals understand how cloud computing can provide them with reliable, customized and cost-effective services in a wide variety of applications. In this paper, we have tried to explore various cloud computing services The endeavour for realizing devices, systems having associated intelligence is one of the recent research trends. The genesis of development of so-called intelligence systems has its long past. By virtue of being naturally intelligent, human beings started exploring if some Decision making under a hierarchical structure is commonly found in the real world, yet the optimization of such decisions is typically difficult due to the highly inter-dependent nature among the decisions by the decision-makers at different levels of the hierarchical

Computing Morphing Vectors for Version 06 IMERG
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In IMERG up through V05, the cloud motion vector computation approach used is that pioneered in CMORPH (Joyce et al. 2011), in which motion vectors are computed from 4-km geosynchronous infrared (GEO-IR) brightness temperatures. Hence, the motion vectors The series Studies in Big Data (SBD) publishes new developments and advances in the various areas of Big Data-quickly and with a high quality. The intent is to cover the theory, research, development, and applications of Big Data, as embedded in the fields of Stochastic computing has fascinated both of us for several years. After seeing many publications in the 1960s, the area largely fell silent until the early 2000s. Although we both had been introduced to the area by our doctoral advisor, Glenn Gulak, it really came into our theoretical and practical developments in unsupervised and semi-supervised learning. Titles including monographs, contributed works, professional books, and textbooks tackle various

THE FIRST PROTOCOL OF REACHING CONSENSUS UNDER UNRELIABLE MOBILE EDGE COMPUTING PARADIGM
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Mobile Edge Computing (MEC) is an emerging technology that enables computing directly at the edge of the cloud computing network. Therefore, it is important that MEC is applied with reliable transmission. The problem of reaching consensus in the distributed system is

Efficient Mobile Cloud Computing through Computation Offloading
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Abstract Mobile Cloud Computing (MCC) has been introduced to be a prospective technology with the explosive growth of mobile applications and evolving cloud computing concept. MCC is the integration of cloud computing in the mobile technology environment. It

Implementing a safe embedded computing system in SRAM-based FPGAs using IP cores
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(FPGAs) are growing the attention of developers of mission-and safety-critical applications (eg, aerospace ones), as they allow unprecedented levels of performance, which are making these devices particularly attractive as ASICs replacement, and as they offer the

Vision Based Computing Systems for Healthcare Applications
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Vision-based systems for healthcare applications utilize computer vision techniques to provide intelligent support to patients and medical practitioners for common needs to sophisticated technical assistance. With the ease of availability and advancements in

Are we having an ethical crisis in computing
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The computing field went through a perfect storm in the early 2000s: the dot-com and telecom crashes, the off-shoring scare, and a research-funding crisis. After its glamour phase in the late 1990s, the field seems to have lost its luster, and academic computing

Introduction to the Minitrack on Intelligent Decision Systems Based on Soft Computing
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Intelligent decision support systems based on soft computing are of great importance to deal with complex decision environments and involve the design of mathematical models for modeling decision problems, the use of different information technologies (such as the web This index covers all technical items papers, correspondence, reviews, etc. that appeared in this periodical during 2018, and items from previous years that were commented upon or corrected in 2018. Departments and other items may also be covered if

Nano Computing : An Introduction
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Nanocomputing refers to computing devices built from nanoscale components. It is an emerging technology that is at the early stage of its development. An exciting anticipation of nanocomputing is the smaller system size it will provide and the ability to construct systems The Internet today is getting connected to a very large number of devices or sensors of IoT. It is expected that 50 billion devices will be connected to the Internet by 2020. The IoT-driven global economy will have many technological challenges. The computing and storage

Signature-based algorithms for computing Gr bner bases over Principal Ideal Domains
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Signature-based algorithms for computing Gr bner bases over Principal Ideal Domains 1. Indian Institute of Technology Hyderabad, Hyderabad, India 2. Institute for Algebra, Johannes Kepler University, Linz, Austria S minaire MAX, Laboratoire dInformatique de l cole Polytechnique

Interesting Open Problem Related to Complexity of Computing the Fourier Transform and Group Theory
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Abstract The Fourier Transform is one of the most important linear transformations used in science and engineering. Cooley and Tukeys Fast Fourier Transform (FFT) from 1964 is a method for computing this transformation in time O (n log n). From a lower bound

IN-MEMORY COMPUTING
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In-memory computing is the storage of information in the main random access memory (RAM) of servers rather than in databases operating on comparatively slow disk drives. It is computing that stores data in RAM across many connected devices and processes it in The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general

Comparison of Fog Computing Cloud Computing
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Fog computing is extending cloud computing by transferring computation on the edge of networks such as mobile collaborative devices or fixed nodes with built-in data storage, computing , and communication devices. Fog gives focal points of enhanced proficiency

A GAP 4 Package computing nilpotent factor groups of finitely presented groups Based on the ANU Nilpotent Quotient Program
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This package provides an interface between GAP 4 and the Australian National University Nilpotent Quotient Program (ANU NQ). The ANU NQ was implemented as part of the authors work towards his PhD at the Australian National University, hence the name of the

Environmental Benefits of Enhanced Hecc-Elgamal Cryptosystem for Security in Cloud Data Storage Using Soft Computing Techniques
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Cloud services is used by many organizations and it has captured a major segment of the competitive market today. The green, or eco-friendly, aspect of the cloud is one of the most multifaceted advantages of cloud computing . The environmental advantages of cloud

Design and analysis a control system using soft computing methods for electrical machines
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To study Vector control technique for reactive power and harmonic compensation. To study the behavior of machine with and without vector control method. To study the behavior of machine with soft computing techniques. To study the unbalance behavior of In his 1871 book The Descent of Man and Selection in Relation to Sex, Charles Darwin put forward a so-called Caruso theory: Singing, he surmised, was akin to peacocks tail in that it gave a male an edge in attracting more females. But, as noted by Berwick and Chomsky [1 Cardiovascular computing is an interdisciplinary field aiming to deploy the principles and advances in computing and engineering to address current clinical challenges and provide new opportunities in cardiovascular science. This rapidly evolving scientific field has

Understanding Cloud Computing and Its Architecture
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Cloud computing is a fast growing technology in which everyone can use the resources from anywhere and anytime. Pool of resources can be stored in cloud environment, which can be accessed by the user so that time can be less consumed. In this paper we outlined the

Optimum range of angle tracking radars: a theoretical computing
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In this paper, we determine an optimal range for angle tracking radars (ATRs) based on evaluating the standard deviation of all kinds of errors in a tracking system. In the past, this optimal range has often been computed by the simulation of the total error components;





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