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Keyword: SPOverview of Solar Radiation Estimation Techniques with Development of Solar Radiation Model Using Artificial Neural Network
Estimation Solar radiation is the most significant part of the optimization of solar power. This may be achieved if the solar radiation is predicted well in advance. Meteorological stations have radiation measuring devices like pyranometer, pyrheliometer, radiometer, solarimeter, etc. however, it may not be available at the location of interest for researchers. Due to this…
Read MoreOrganizational Agility Assessment of a Moroccan Healthcare Organization in Times of COVID-19
Since its appearance, COVID-19 has severely impacted the healthcare sector all over the world. The healthcare organizations should be agile in order to cope with this new health crisis. Indeed, organization agility was highly recommended as an essential basis for flexibility, innovation, speed, as well competitiveness. Different research provided different conceptual models suitable to evaluate…
Read MoreHuman-Robot Multilingual Verbal Communication – The Ontological knowledge and Learning-based Models
In their verbal interactions, humans are often afforded with language barriers and communication problems and disabilities. This problem is even more serious in the fields of education and health care for children with special needs. The use of robotic agents, notably humanoids integrated within human groups, is a very important option to face these limitations.…
Read MoreDamage Accumulation Model for Cracked Pipes Subjected to Water Hammer
During service, oil and gas pipelines may be exposed to cyclical loads during service, which may lead to a structural failure. Failure is due in most cases to cracks in the structure. Mechanics of the propagation of surface cracks pose a serious challenge and, therefore, models are required to help analyze it. In this study,…
Read MoreDecision Making System for Improving Firewall Rule Anomaly Based on Evidence and Behavior
Firewalls are controlled by rules which often incur anomalies. The anomalies are considered serious problems that administrators do not desire to happen over their firewalls because they cause more vulnerabilities and decrease the overall performance of the firewall. Resolving anomaly rules that have already occurred on the firewall is difficult and mainly depends on the…
Read MoreNeural Network-Based Fault Diagnosis of Joints in High Voltage Electrical Lines
In this paper a classification system based on a complex-valued neural network is used to evaluate the health state of joints in high voltage overhead transmission lines. The aim of this method is to prevent breakages on the joints through the frequency response measurements obtained at the initial point of the network. The specific advantage…
Read MoreStudy of the Effect of Abnormalities in the External Ear Inducing Hearing Problems
Tinnitus is a phenomenon for which the patient hears sound in the absence of any external sound source. To this day, there is no cure for this phantom sound perception. But it can be masked temporarily to help relief the patient’s pain. In order to allow this, a better understanding of the phenomenon is needed.…
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 MoreShort-Term Dynamic Exchange Rate Model: IFEER Concept Development
The new model of the short-term exchange rate dynamics was constructed. First of all, the most interesting were the reasons of the deviation from the medium-term equilibrium. The author’s IFEER-concept (International Flows Equilibrium Exchange Rate) was used as a base and it was developed. In this study, due to the short-term modeling period the differential…
Read MoreAssessing the Operator’s Readiness to Perform Tasks of Controlling by the Unmanned Aerial Platforms
Together with the intensity of development in the field of technology of unmanned platforms and their effective use for solving various tasks of peacetime and war, the requirements for the training of the operator managing the platform also increase. This fully applies to personnel providing the flight of manned means. Nevertheless, there are significant differences…
Read MoreArtificial Intelligence Approach for Target Classification: A State of the Art
The classification of static or mobile objects, from a signal or an image containing information as to their structure or their form, constitutes a constant concern of specialists in the electronic field. The remarkable progress made in past years, particularly in the development of neural networks and artificial intelligence systems, has further accentuated this trend.…
Read MoreA CNN-based Differential Image Processing Approach for Rainfall Classification
With the aim of preventing hydro-geological risks and overcoming the problems of current rain gauges, this paper proposes a low-complexity and cost-effective video rain gauge. In particular, in this paper the authors propose a new approach to rainfall classification based on image processing and video matching process employing convolutional neural networks (CNN). The system consists…
Read MoreA Framework of E-Procurement Technology for Sustainable Procurement in ISO 14001 Certified Firms in Malaysia
With the current emerging development pattern in Malaysia, E-Government has been unveiled by the Malaysian Government to be one of the multimedia super corridor flagship applications to implement digital technology to improve government operations. E-procurement was originally utilized by businesses to minimize turnaround times and prices, but recently it was often used as a platform…
Read MoreKeyword Driven Image Description Generation System
Image description generation is an important area in Computer Vision and Natural Language Processing. This paper introduces a novel architecture for an image description generation system using keywords. The proposed architecture uses a high-level feature such as keywords for generating captions. The important component of caption generation is the deep Bidirectional LSTM network. The space…
Read MorePotential of Solar Energy in Residential Rooftop Surface Area in Semarang City, Indonesia
This study examines the potential of solar energy in the urban environment with a case study in Semarang, Indonesia by analyzing the intensity of solar radiation and the residential rooftop area. The study aims to obtain a quantitative description of the potential for electricity production from rooftop solar photovoltaic systems in residential areas and estimate…
Read MoreThe Role of KM in Enhancing AI Algorithms and Systems
Knowledge Management processes present a vital role in improving AI systems and algorithms. Many studies and reviews were carried out to examine the relationship between KM processes and AI systems. However, studies were focusing on specific methods and the impact on some AI algorithms, neglecting the role of other KM processes and how it may…
Read MoreDevelopment of Soil Moisture Monitoring by using IoT and UAV-SC for Smart Farming Application
Soil moisture is a fundamental factor for smart farming that is used to control the water management system. In this paper, the unmanned aerial vehicle (UAV) small cell (UAV-SC) can provide Internet of things (IoT) as the hotspot mobility network, due to the minimum limitation energy of connected IoT. The development of ground sensor (GS)…
Read MoreSurvey Analysis: Enhancing the Security of Vectorization by Using word2vec and CryptDB
Vectorization is extracting data from strings through Natural Language Processing by using different approaches; one of the best approaches used in vectorization is word2vec. To make the vectorized data secure, we must apply a security method, which will be CryptDB. The paper is analyzing the survey, which is created to interview security engineers through the…
Read MoreBilateral Communication Device for Deaf-Mute and Normal People
Communication is a bilateral process and being understood by the person you are talking to is a must. Without the ability to talk nor hear, a person would endure such handicap. Given that hearing and speech are missing, many have ventured to open new communication methods for them through sign language. This bilateral communication device…
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…
Read MoreDeep Learning Model for A Driver Assistance System to Increase Visibility on A Foggy Road
For many years, a lot of researches have been made to develop Advanced Driver Assistance Systems (ADAS) that are based on integrated systems. The main objective is to help drivers. Hence, keeping them safe under different driving conditions. Visibility for drivers remains the biggest problem faced on the road in an atmosphere of fog. In…
Read MoreOptimization of the Procedures for Checking the Functionality of the Greek Railways: Data Mining and Machine Learning Approach to Predict Passenger Train Immobilization
Information is the driving force of businesses because it can ensure the ability of knowledge and prediction. The railway industry produces a huge volume of data, with the proper processing of them and the use of innovative technology, there is the possibility of beneficial information to be provided which constitute the deciding factor for the…
Read MoreDiffusion of Technology for Language Challenges in the South African Healthcare Environment
Even though mobile technologies are increasingly used to enable communications between providers and receivers of healthcare services, there remain severity challenges owing to the use of various indigenous languages in many Africa countries. Some of the challenges get worst in a countries like South Africa where there are eleven official languages. As a result, interpreters…
Read MoreUtilization of Data Mining to Predict Non-Performing Loan
In the banking industry, the existence of problem loans is inevitable. NPL (Non-Performing Loan) will certainly have an impact on the reduction in the capital of a bank. One good step in reducing the risk of credit default or the emergence of non-performing loans is to take proper care of debtors who begin to experience…
Read MoreBuffering Supercapacitor Mechanism based on Bidirectional DC/DC Converter for Mini All-Terrain Vehicle Application
Fundamentally, the Bidirectional DC/DC converter consists of Buck and Boost modes, which working alternately. Hence, it has two output directions: Buck mode for decreasing the voltage and Boost mode for increasing the voltage at certain levels. In this work, we applied a non-isolated topology of the Bidirectional DC/DC converter for electric vehicle, that is mini…
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