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The Hamming neural network is an effective tool for solving problems of recognition and classification of objects, the components of which are encoded using a binary bipolar alphabet, and as a measure of the objects’ proximity the difference between the number of identical bipolar components which compared include objects and the Hamming distance between them…

The new generation of mobile communications and the recent advances in data management are going to enable a fast transformation in the health sector of many countries. 5G networks, with superior technical characteristics, would allow the development of a new set of application and services gathered under the concept of eHealth. In this article we…

This paper makes a statistical analysis of some indicators that characterize the environment of students admitted to public and private Institutions of Higher Education i.e. university level institutions, presenting an overview to the distribution of these students in the key areas of study that these institutions offer such as: Arts, Agriculture, Natural Sciences, Social Sciences,…

With the advent of internet technology and social media, patterns of social communication in daily lives have changed whereby people use different social networking platforms. Microblog is a new platform for sharing opinions by means of emblematic expressions, which has become a resource for research on emotion analysis. Recognition of emotion from microblogs (REM) is…

The recent advances in geoscience technologies and earth observation tools have evolved in recent years in a fast cadence. Since 1980 with the apparition of Landsat mission firstly named the Earth Resources Technology Satellite, with 80 m spatial resolution; the ability to capture finest details was limited. The emergence of new concepts in agriculture like…

Data mined from social media can be used in a variety of methods. The goal of this paper is to explore some of the various methods of mining data from social media and the different areas of its applications. From the analysis of other studies, it was clear that methods such as text analysis, classification,…

A competitive manufacturing environment dictates to be conscious of the real cost of production to increase profitability, to have a precise cost estimation, and to avoid cost distortion. Activity-Based Costing (ABC) is one choice to achieve these objectives. This paper aims to build an ABC method, consequently, to explore its application for a local Aluminum…

Distributed Solar Photovoltaic (DSP) Plants are one of the fastest growing renewable energy systems in South Africa. The primary components forming an integral part of the point of common coupling (PCC) are, the inverter used to convert dc voltage to ac voltage and step-up transformers which step-up low voltage input to the desired output level.…

PT XYZ has an Enterprise Resource Planning application that is used by the Planning Department to view stocks and plan production materials. Currently calculation of production materials takes more than 30 seconds just to export to Excel then a few minutes to adjust the data format to the planning form and the data used is…

In recent years, the applications in the field of Unmanned Aerial Vehicle (UAV) systems has procured research interests among various communities. One of the primary factors being, thinking beyond the box of what could UAV system bring to the table other than military applications? Evidence to any answer for this question is the current day…

A Decision-Making Centers (DMCs) Environment facilitates stakeholders’ decision-making processes using predictive models and diverse what-if scenarios. An essential element of this environment is the management of Decision Support Components (e.g., models or systems) that need to be created with mature methodologies and good delivery time. However, there has been a gap in the understanding of…

Blockchain (BC) as the widespread innovations in the 21st century has recognized itself to be immutable, tamper-resistant, decentralize and secure. This emerging technology is used as a functional technology for refining present technology and forming new applications for its robustness and disintermediation. Decentralized Digital Self-Sovereign Identity (DDSSI) is an identity mapped with individual identity information…

Face Recognition (FR) is considered as a heavily studied topic in computer vision field. The capability to automatically identify and authenticate human’s faces using real-time images is an important aspect in surveillance, security, and other related domains. There are separate applications that help in identifying individuals at specific locations which help in detecting intruders. The…

Static Application Security Testing (SAST) is a popular quality assurance technique in software engineering. However, integrating SAST tools into industry-level product development and security assessment poses various technical and managerial challenges. In this work, we reported a longitudinal case study of adopting SAST as a part of a human-driven security assessment for an open-source e-government…

The use of Unmanned Aerial Vehicle (UAV) can contribute to find solutions and add value to several agricultural problems, favoring thus productivity, better quality control processes and flexible farm management. In addition, the strategies that allow the acquisition and analysis of data from agricultural environments can help optimize current practices such as crop counting. The…

Formal methods are one of the efficient tools to verify and validate designs for different kinds of systems. Smart systems are attracting researchers’ attention due to the rapid spread of new technologies all over the world. Modeling a smart system requires connecting heterogeneous subsystems together to build it. Our contribution to this work is in…

This work is concerned with the detection and classification of birds that have applications like monitoring extinct and migrated birds. Recent computer vision algorithms can precise this kind of task but still there are some dominant issues like low light, very little differences between subspecies of birds, etc are to be studied. As Convolution Neural…

The article substantiates the relevance of conducting research on the structural characteristics of a company’s employee knowledge, which is the result of his mental activity and his practical experience. The conditions under which information becomes a source of employee knowledge are determined. An abstract analysis of the process of transforming knowledge into an intellectual product…

Induction motors (IM) are used widely in high energy applications where high torque is required such as ships/ aircrafts manufacturing industry. Those motor drivers are populated in many advantages especially their wide control strategies. However, new technology is invented for enhancing efficiency and smoothing the torque curve by increasing number of phases in the motor…

The Public Administration is forced to transform itself by taking advantage of the contribution of ICT to in the process of reducing bureaucracy and increase transparency, promoting the dematerialization of processes, increasing the quality of online services, allowing greater ubiquity of access, reducing response times, in the search for improvement of the quality of life…

Compared to other types of autonomous vehicles, the single-seat is the simplest when designing, since its compact design makes it an option that can simplify different mechanical aspects and enhance those of greater importance such as the steering and the braking system. Likewise, the electronic and electrical design may be a great improvement on the…

The web documents are automatically interacting to discover the information by web mining, which is one of the applications of Cloud Computing (CC) technologies. These documents may be in the form of structured, semi-structured, or unstructured formats. In current web technologies, the Semantic Web is an extension for better enabling the people and computers to…

The purpose of this study is to determine the improvement of the competence of junior high school students through the application of blended learning models. This is a Classroom Action Research comprising of two cycles and two observations of student activities, with the descriptive statistics used for data analysis. From the results of the learning…

Worldwide, the epidemiological situation is constantly changing and with the exponential increase in the number of confirmed coronavirus cases, the number of health care workers has decreased significantly and this is due to the direct and daily contact of patients. One of the major challenges of the last few months is to prevent the spread…

Forecasting the gold price movement’s volatility has essential applications in areas such as risk management, options pricing, and asset allocation. The multivariate model is expected to generate more accurate forecasts than univariate models in time series data like gold prices. Multivariate analysis is based on observation and analysis of more than one statistical variable at…