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Keyword: UseStress Level Classification Using Heart Rate Variability
The research programme reported in this paper is set within the framework of our research under the theme of ICT support for Active Healthy Ageing (AHA). This longitudinal empirical research is focused on the study of the impact on the management of cardio-vascular disease if supported by sustained health monitoring using wearable connected devices. One…
Read MoreAn Immutable Algorithm Approach to Improve the Information Security of a Process for a Public Organization of Ecuador
Currently, information security is among the main characteristics that must be achieved within the security of private and public organizations worldwide. For this reason, globally recognized algorithms such as the AES, IDEA, RC5, DES, RSA are researched with the aim of identifying the most suitable and obtaining a greater degree of security and speed of…
Read MoreA Formal Ontology-based Framework Towards an Intelligent Temporal Scheduler
Time scheduling as seen in timetabling processes with few and/or competing resources has exposed complex interoperable time scheduling. Attempts to resolving these time scheduling processes has been undertaken, using several classical methods, with difficulty due to inherent complexities, constraints and conflicting issues. The use of ontology-based approaches to resolve time complexity is recently adopted due…
Read MoreDistribution of Bit Patterns in Binary Sequence Generated Over Sub Extension Field
The distribution of bit patterns is an important measure to check the randomness of a sequence. The authors of this paper observed this crucial property in a binary sequence which generated by using a primitive polynomial, trace function, and Legendre symbol defined over the sub extension field. The authors create a new dimension in the…
Read MoreComputer Security as an Engineering Practice: A System Engineering Discussion
We examine design principles from more than 20 years of experience in the implementation and protection of mission critical flight systems used by the Mission Design and Navigation Section at NASA’s Jet Propulsion Laboratory. Spacecraft navigation has rigorous requirements for completeness and accuracy, often under critical and uncompromising time pressure. Fault tolerant and robust design…
Read MoreHybrid Technique for Enhancing Underwater Image in blurry conditions
Enhancing underwater visualization using hybrid technique is generally employed into oceanic production. Through growing oceanic learning, undersea processing has drawn extra importance owing towards necessary task of picture towards attaining data. Although, suitable to reality of dust-like constituent and beam reduction, undersea descriptions continually experience small contrast and color alteration. In this paper, we estimate…
Read MoreOptimization of Statcom in a Nouakchott Power System
STATCOM a shunt connected Flexible Alternative Current Systems (FACTS) device using for fast control of voltage and reactive power control in the power grid. To optimize Nouakchott power system at 2030 year, we anticipate both generation and demand grow. A set of nonlinear equations are solved through Newton Raphson method and programmed in PSS/E and…
Read MoreAn Innovative EPC Architecture based on Not Only Stack for beyond 5G Mobile Networks
The traditional long-term evolved (LTE) network architecture faces major challenges due to the rapid development of mobile intelligent applications. Evolved packet core (EPC) network, as the core network of the LTE system, faces the same problem as well. In this paper, we propose an innovative EPC architecture, i.e., Not only stack (NOS)-EPC, in which we…
Read MoreAcquiring Energy from the Harmful Radiation Emitted by Compact Fluorescent Lamps
The purpose of this work is to present new technology in acquiring energy from the compact fluorescent lamp (CFL) and store it in a super-capacitor to operate the emergency exit lights. Many studies show energy-efficient light bulbs may emit harmful radiation. This type of lamp emits high levels of radiation, causing migraine headaches, fatigue, and…
Read MoreNoise Cancellation Algorithm Based on Air- and Bone-Conducted Speech Signals by Considering an Unscented Transformation Method
Noise control is essential when applying speech recognition in noisy environments such as factories. In this study, a signal processing for noise cancellation is proposed by using a noise-insensitive bone-conducted speech signal together with an air-conducted speech signal. The speech signal is generally expressed by a nonlinear model. The extended Kalman filter is very famous…
Read MoreConversion of 2D to 3D Technique for Monocular Images using Papilio One
A 3D image adds realism in viewing experience and can assist in simplifying the graphical displays. A Third dimension supplement to the input can improve pattern recognition, and can be used for 3D scene reconstruction and robot navigation. Recently popularity of 3D hardware is also increased which makes it a hot topic. The production of…
Read MoreITSM Software Ranking for Small Medium Enterprises Based on ITIL V3 Quick Win Criteria using Fuzzy SIR Method
There are various software related to the implementation of IT Service Management (ITSM) for a company, including those that are open source and commercial. An input is needed for companies in determining what software to choose from various software, especially for small and medium enterprises (SMEs) that have limited human and financial resources. In this…
Read MoreEnabling the Edge – A method for dynamic virtualizable connections for 5G deployments
The telecommunications industry continues to move forward with plans for 5G service with rates including 6Gb/s followed by upgrade paths promising 20Gb/s. Despite advances in wireless technology associated with 5G roll-outs, there remains the problem of providing sufficient backhaul throughput and efficient handling of hand-off services within the relatively small projected cell boundaries that can…
Read MoreEffects of Different Activation Functions for Unsupervised Convolutional LSTM Spatiotemporal Learning
Convolutional LSTMs are widely used for spatiotemporal prediction. We study the effect of using different activation functions for two types of units within convolutional LSTM modules, namely gate units and non-gate units. The research provides guidance for choosing the best activation function to use in convolutional LSTMs for video prediction. Moreover, this paper studies the…
Read MoreA New Model of Supplier’s Selection for Sustainable Supply Chain Management
In the last years, industrial company began to understand the central role that plays sustainable supplier selection (SSS) process for obtaining a sustainable supply chain (SSC). This paper proposes a new multi-criterion decision-making (MCDM) model for managers, which makes it possible to select the best suppliers who respect the sustainable development (SD) concept for a…
Read MoreDesigning IT Blue Print Academic System on Higher Education with Togaf
STIE XYZ is one of the universities of economics that has not been optimal in the use of information technology. IT implementation is applied when there are urgent and sudden needs. So it is not planned carefully according to the development needs of this educational institution. Therefore many patchy applications are created. As the consequence,…
Read MoreApplication of The Half-Sweep Egsor Iteration for Two-Point Boundary Value Problems of Fractional Order
The point of this study is to explore and elucidating the performance of the four-point Half-Sweep EGSOR (4HSEGSOR) iterative method to solve fractional two-point boundary value problems by using Caputo’s fractional operator and family of finite differences (FD) schemes. To apply the iterative methods, linear system needs to be constructed via the discretization process with…
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 Critical Analysis of Topics in Software Architecture and Design
Software architecture and design is an important component in the software engineering field. This aspect of software engineering covers the functional and non-functional requirements of any system being proposed to be developed, while software architecture deals with non-functional requirements, software design entails the functional requirements. The objective of this paper is to critically analyze current…
Read MoreParallel Hybrid Testing Tool for Applications Developed by Using MPI + OpenACC Dual-Programming Model
Building massively parallel applications has become increasingly important with coming Exascale related technologies. For building these applications, a combination of programming models is needed to increase the system’s parallelism. One of these combinations is the dual-programming model (MPI+X) which has many structures that increase parallelism in heterogeneous systems that include CPUs and GPUs. MPI +…
Read MoreEffects of Educational Support Robots using Sympathy Expression Method with Body Movement and Facial Expression on the Learners in Short and Long-term Experiments
Recently, educational-support robots have been attracting increasing attention as studying-support gadgets. Previous studies used the sympathy expression method in which the robot expressed emotions in sympathy with the learners; however, the robots considered in those studies expressed only facial emotions. Presently, there is no study that uses body movements together with facial expressions in the…
Read MoreMultiple Social Metrics Based Routing Protocol in Opportunistic Mobile Social Networks
In Opportunistic Mobile social networks (OMSNs), the social characteristics and behavior of humans carrying mobile devices are exploited to improve information provision and data routing in the network. Social-based routing algorithms attempt to exploit users’ social features such as similarity, centrality and betweenness, singularly or combined, to select a suitable relay node among neighbors. However,…
Read MoreDevelopment & Implementation of Smart Vehicle Over Speeding Detector using IoT
Nowadays over speeding is one of the most common traffic violations. Generally, over speeding is the result of restless and bad behavior of drivers. As the accident rates are increasing it is important to develop and implement a system which can automatically detect and report over speeding to the traffic control authorities as early as…
Read MoreFeature Selection for Musical Genre Classification Using a Genetic Algorithm
Music genre classification is an important multimedia research domain, including aspects of music piece representation, distances between genres, and categorization of music databases. The objective of this study was to develop a model for automatic classification of musical genres from audio data by using features from low-level time and frequency domains. These features can highlight…
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