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Keyword: CoMPA Study on Intelligent Dialogue Agent for Older Adults’ Preventive Care – Towards Development of a Comprehensive Preventive Care System
Preventive care approaches have attracted much attention in Japan, which is one of the world’s most super-aged societies. These approaches aim to decrease the number of people who require nursing care or other human support. Our research group has developed several kinds of preventive care systems, including a fall prevention system, a cognitive training system,…
Read MoreStrategic Model to Assess the Sustainability and Competitiveness of Focal Agri-Food Smes and their Supply Chains: A Vision Beyond COVID 19
There have been disruptions in local and global food supply chains around the world due to the COVID-19 pandemic. It has led to rethink various aspects and to consider various trends in the food sector, encourage a more rapid transition and evolution to the Sustainable Supply Chain Management (SSCM), to counteract current problems and to…
Read MoreNature Inspired and Transform Based Image Encryption Techniques: A Comparative Study
In this paper, performances of two variations of chaos based algorithms are compared. First algorithm is a self-adaptive color image encryption algorithm is proposed based on Radial Hilbert Transform and chaos. This technique uses chaotic random phase masks operated on the transformed pixels to increase the randomness in confusion and diffusion operations. Also, a random…
Read MoreComparison by Correlation Metric the TOPSIS and ELECTRE II Multi-Criteria Decision Aid Methods: Application to the Environmental Preservation in the European Union Countries
This article is part of the field of Multi-Criteria Decision Aid (MCDA), where several criteria must be considered in decision making. All criteria are generally as varied as possible and express different dimensions, and aspects of the decision problem posed. For more than four decades, several MCDA methods have emerged and have been applied perfectly…
Read MoreVLSI Architecture for OMP to Reconstruct Compressive Sensing Image
A real-time embedded system requires plenty of measurements to fallow the Nyquist criteria. The hardware built for such a large number of measurements, is facing the challenges like storage and transmission rate. Practically it is very much complex to build such costly hardware. Compressive Sensing (CS) will be a future alternate technique for the Nyquist…
Read MoreScattering of H-Wave by a Moving Dispersive Conducting Complex Object
The effect of the moving dispersive conducting complex scatterer on the scattering of incident H-wave is investigated herein. In this research, a simulation shows how the scattered phase and magnitude of a moving (rotating and translating) circular cylinder with higher conductivity, made of dispersive material, is affected in the case of incident H-wave (TE-mode) polarization.…
Read MoreDesign of High Output Impedance, Large Voltage Compliance Output Stage of Implantable Hypoglossal Nerve Stimulator (HGNS) for OSA Treatment
Obstructive Sleep Apnea (OSA) is a potentially common sleep disorder manifested in upper airways’ collapse, either partially or completely. If diagnosed late and untreated, it may result in serious complications. The standard golden method, useful for treating OSA, remains the full night Continuous Positive Airway Pressure (CPAP). Yet, due to the ensuing discomfort it incurs…
Read MoreUsing Classic Networks for Classifying Remote Sensing Images: Comparative Study
This paper presents a comparative study for using the classic networks in remote sensing images classification. There are four deep convolution models that used in this comparative study; the DenseNet 196, the NASNet Mobile, the VGG 16, and the ResNet 50 models. These learning convolution models are based on the use of the ImageNet pre-trained…
Read MoreJohnson Noise and Optical Characteristics of Polymer Nanocomposites Based on Colloidal Quantum Dots and In-Situ Nanoparticles Formation
Electrical and optical properties of polymer nanocomposite thin films have been analyzed to study their reliability and competency as a component for optoelectronic devices such as LED and solar cells. Polymer nanocomposite encounters various challenges, such as the dispersion of nanoparticles in the matrix that hinders their efficiency for potential devices. In this paper, two…
Read MoreAn Empirical Comparison of Different Two-Factor Models in the Context of Portfolio Optimisation
The crisis linked to the COVID-19 and the uncertainty it generates in the unprecedented health, societal, economic and financial fields have had a strong impact on the stock markets. Indeed, in such a climate of very high uncertainty, it is to be expected that the excessive stock market price movements will continue, with both declines…
Read MorePrototype for the Management of Engineering Companies and the ICT to Improve the Quality of Services
Information on alternative technologies or new prototypes was analyzed to help improve the quality of business management services. The problem is the lack of application of new technologies that improve the quality of service and reduce disagreements in the management of organizations. The objective is to present a prototype for the management of engineering and…
Read MoreButterfly Life Cycle Algorithm for Measuring Company’s Growth Performance Based on BSC and SWOT Perspectives
Previous study of butterfly life-cycle algorithms (BLCA) has been done to construct a novel algorithm by impersonating the life-cycle of a real butterfly. The algorithm was tested in measuring the company’s growth performance using a balanced scorecard (BSC) strategic planning model. This paper is proposed to continue the previous study by expanding the concept in…
Read MoreSimulated Annealing for Traveling Salesman Problem with Hotel Selection for a Distribution Company Based in Mexico
A distribution company in Mexico covers the travel expenses for 21 sales representatives. Currently, the routes they follow are not established clearly, which can lead to high costs in this subject. A reduction of such cost is sought after, by optimizing the routes for each one of them. The following research finds an improvement on…
Read MoreComparative Study of Cryptocurrency Algorithms: Coronavirus Towards Bitcoin’s Expansion
The widespread presence of Coronavirus (COVID-19) is causing organizations and individuals major economics downsizing. The way this virus is transmitted from one individual to another is the real cause of the problem. For that, researchers in different fields started seriously looking for touch-less and contact-less exchange. Particularly in the finance world, cash transactions and keypad…
Read MoreNew Algorithm for the Development of a Musical Words Descriptor for the Artificial Composition of Oriental Music
The Music Composition Library of the great composers constitutes an intellectual heritage. This article introduces an algorithm of artificial Oriental composing music based on the descriptors determined on a large learning base to automatically write Oriental music as the logic identical to any composer. Musical words are called a grammatical alphabet. Each word derived is…
Read MoreUsing Envelope Analysis and Compressive Sensing Method for Intelligent Fault Diagnosis of Ball Bearing
Bearings are the key components of many rotating machines, in which serious failure or even major breakdown may occur due to their abnormal operation and defects. Thus, accurate fault diagnoses of bearing elements are essential for proactive predictive maintenance. However, the using of multiple sensors with high sampling rate reveal considerable shortages in the analysis…
Read MoreComponent of Trust for Developing Crowdwork System: A Systematic Literature Review
Crowdwork is a system that brings job providers and crowdworkers in a portal. Nowadays, many companies are turning to freelancing rather than hiring full-time employees. In addition, the workers have also switched to working as freelancers. New problems also arise in the crowdwork system. Trust is one of the main issues that arise in the…
Read MoreDesign and Implementation of Reconfigurable Neuro-Inspired Computing Model on a FPGA
In this paper we design a large scale reconfigurable digital bio-inspired computing model. We consider the reconfigurable and event driven parameters in the developed field-programmable neuromorphic computing system. The various Intellectual Property (IP) cores are developed for the modules such as Block RAM, Differential Clock, Floating Point, and First In First Out (FIFO) for the…
Read MoreArduino-Compatible Modular Kit Design and Implementation for Programming Education
To cultivate creative talent, ways to learn creative problem-solving skills is needed, and one of them is programming. Arduino is a well-known tool used for programming education and the usefulness has been demonstrated in various case studies. However, there are several problems in existing Arduino-compatible kits as education tools, including the need for understanding hardware…
Read MoreTowards Directing Convolutional Neural Networks Using Computational Geometry Algorithms: Application to Handwritten Arabic Character Recognition
Suppose we want to classify a query item Q with a classification model that consists of a large set of predefined classes L and suppose we have a knowledge that indicates to us that the target class of Q belongs to a small subset from L. Naturally, this filtering will improve the accuracy of any…
Read MoreSearch for New Potential Breast Cancer Inhibitors (MCF7) Based on Molecular Docking and Biological Assay of Pyrazoline Analogue Compounds
Cancer is the leading cause of death in world. Currently, there are no approved vaccines to avoid the spreading of this disease. Drug discovery have played important role for discover of new potent drugs that could efficiently and cost-effectively. Pyrazoline analogue compounds known to have good potency as anti-cancer. The aim of this study is…
Read MoreThe Relation of Compression Strength with Modulus of Rupture and UPV of Concrete Containing M-sand as Fine Aggregate
The impact of Manufacture sand on UPV, compression strength and modulus of rupture has been experimentally investigated and discussed in this paper. Concrete grade 30 (30Mpa) were produced with different percentage of M sand substitution ranging from 25%, 50%, 75% and 100% by volume were selected as concrete mix design in this project. The strength…
Read MoreCorrelation-Based Incremental Learning Network for Gas Sensors Drift Compensation Classification
A gas sensor array is used for gas analysis to aid in an inspection. The signals from the sensor array are fed into machine learning models for learning and classification. These signals are characterized by time series fluctuating according to the environment or drift. When an unseen pattern is entered, the classification may be incorrect,…
Read MoreThe Sound of Trust: Towards Modelling Computational Trust using Voice-only Cues at Zero-Acquaintance
Trust is essential in many interdependent human relationships. Trustworthiness is measured via the effectiveness of the relationships involving human perception. The decision to trust others is often made quickly (even at zero acquaintance). Previous research has shown the significance of voice in perceived trustworthiness. However, the listeners’ characteristics were not considered. A system has yet…
Read MoreComputational Intelligence and Statistical Learning Performances on Predicting Dengue Incidence using Remote Sensing Data
Dengue is a viral infection disease transmitted to people through the bite of specific mosquito species living in a tropical zone. According to the World Health Organization, dengue has been listed among the top-ten diseases for 2019 as it makes 3.9 billion people in 128 countries be at risk of infection. One major cause of…
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