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Keyword: REStress 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 MoreResourceful Residual Energy Consumption in TDMA Scheduling for IoT-based Wireless Sensor Network
Recently, wireless sensor network (WSN) gets more concern due to the robustness in the latest communication technology iteration such as big data, IoT and 5G. Such daily usage of these technologies includes smart home, smart farming, smart traffic control etc. Moreover, WSN becomes the best preference for mobile objects in data accumulating in a wild…
Read MoreRelational Databases Versus HBase: An Experimental Evaluation
Relational database management systems (RDBMS) have been imposed for more than three decades as a facto standard for data storage, management, and analysis. They have a good reputation by supporting ACID properties (Atomicity, Consistency, Isolation, and Durability) and by adopting the SQL language which has become a standardized language. However, despite their power, RDBMS have…
Read MoreEffects of The Low-Resolution 3D Video Clip on Cerebrum Blood Flow Dynamics
We have already succeeded in findings that stereoscopic video clips enhance brain activity. We herein increase the knowledge about the influence of 3D and blurred images on the human body, especially on brain activity. From of old, it has been pointed out that the motion sickness is induced by the blurred images. In this study,…
Read MoreLocation Prediction based on Variable-order Markov Model with Time Feature and User’s Spatio-temporal Rule
Location-based service has been widely used in modern life. It brings a lot of convenience to our lives. Improving the accuracy of location prediction can provide better location- based service. We propose a location prediction method based on the variable-order Markov model with time feature and user’s spatio-temporal rule. First, the user’s trajectory data needs…
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 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 MoreEstimation of Software Development Project Success using Fuzzy Logics
To date, software development is vital since software is a critical element in information technology. Requirements gathering, planning, estimation, estimation, development, collaboration, testing, and deployment. The problem is when it is delivered, so it reduces the risk of the problem which could happen is important. Threat prediction should be made. It will be aimed at…
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 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 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 MoreNonlinear Analytic Modeling for Novel Linear Variable Reluctance Motors
In this paper, an analytical modeling is proposed to compute the static and dynamic characteristics of linear variable reluctance motors with taking account of the saturation and the non-linearity of the magnetic circuit. The proposed model is based on the Fourier series expression of the phase flux in which the variation of the linkage flux…
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 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…
Read MoreFrequency-Based Design of Electric System for Off-shore Wind Power Plant (OWPP)
The paper presents a novel concept of design of electric system for Off-shore Wind Power Plant (OWPP) based on frequency. In the literature, a new transmission system i.e. Fractional Frequency Transmission System (FFTS) has been proposed as an economic alternative to High Voltage AC (HVAC) and High Voltage DC (HVDC) for power transmission from Off-shore…
Read MoreSentiment Analysis of Regional Head Candidate’s Electability from the National Mass Media Perspective Using the Text Mining Algorithm
Mass media plays an important role in leading public opinion, including in the election of regional head candidates. The tendency of mass media coverage can be used as a parameter to measure the strength of each regional head candidate. To analyze the tendency of media opinion, sentiment analysis is needed. In this study, text mining…
Read MoreAutomatic Stitching of Medical Images Using Feature Based Approach
Image stitching is a process of creating a panoramic image by combining multiple images that have overlapping regions of the same scene. It is a challenging topic in image processing, multimedia, and medical applications. The proposed system can be applied in medical applications for scoliosis operations and other long limb operations. The problem of the…
Read MoreDeep Feature Representation for Face Sketch Recognition
Face sketch recognition aims at matching face sketch images to face photo images. The main challenge lies in modality discrepancy between face photo and sketch images. In this work, we propose a new facial sketch-to-photo recognition approach by adopting VGG-Face deep learning network, with which face images can be represented by compact and highly discriminative…
Read MoreDesign and Analysis of 32-bit Parallel Prefix Adders for Low Power VLSI Applications
The basic processes like addition, subtraction can be done using various types of binary adders with dissimilar addition times (delay), area and power consumption in any digital processing applications. To minimize the Power Delay Product (PDP) of Digital Signal Processing (DSP) processors is necessary for high performance in Very Large Scale Integration (VLSI) applications. In…
Read MoreLabVIEW Development for an Intelligent Management System of the Electrical Energy Free Market
Consumers of electrical energy have looked more closely to the energy consumption in last years due to the successive increase of the electricity bill. Nowadays it is possible to notice that many consumers have been looking for ways to reduce their consumption or the value of their electricity bill. Such a cost reduction is obtained…
Read MoreA Spectrum Sharing based Metering Infrastructure for Smart Grid Utilizing LTE and WiFi
In advanced metering infrastructure (AMI) of smart grid, WiFi is an appropriate choice for its bidirectional communication requirement to transmit data to the billing center. But, WiFi functions in the free spectrum bands and LTE also requires to use the same free bands for its network expansion being licensed spectrum is limited and expansive. LTE…
Read MoreA Relation Extraction System for Indian Languages
Relation Extraction is an important subtask of Information Extraction that involves extracting significant facts from natural language text. Extracting structured information from the plaintext is the ultimate goal of IE systems. The Indian language content on the internet is increasing day to day. Extracting relevant information from this huge unstructured data is a challenging task…
Read MoreW.A.S.T.E. R.E.D.U.C.E.: Waste Auditing Sensor Technology to Enhance the Reduction of Edible Discards in University Cafeterias & Eateries
Food waste disposal and food availability are both problems in the world today. The ability to monitor food waste is currently limited by the use of manual data collection and sparsity of monitoring. Using sensors to automate the process of measuring and collecting data on food waste would allow constant monitoring and provide a better…
Read MoreCoupling of Local and Global Quantities by A Subproblem Finite Element Method – Application to Thin Region Models
A method for coupling of local and global fields related to currents, voltages and magnetic fields in magnetodynamic problems is developed in the frame of the finite subproblem finite element method. The method allows to correct the errors arising from thin conducting regions, that replace volume thin regions by surfaces but neglect border effects in…
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