A methodology of medical signal-based biometrics has been proposed in this paper for implementing a human identification system controlled by electroencephalogram in respect of different color stimuli. The advantage of biosignal based biometrics is that they provide more efficient operation in simple experimental condition to ensure accurate identification. Red, Green, Blue (primary colors) and Yellow…

Environmental sounds detection plays an increasing role in computer science and robotics as it simulates the human faculty of hearing. It is applied in environment research, monitoring and protection, by allowing investigation of natural reserves, and showing potential risks of damage that can be deduced from the environmental acoustic. The research presented in this paper…

The increasingly rapid development of science and technology, as well as the influence of globalization has contributed to updates in educational so that one method taken by apply experiments in horticulture learning activities. This study aims to determine the effect of rice straw mulch on tomato production and the effectiveness of the implementation of this…

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…

To get hired, an aspiring candidate needs a good CV/r´esum´e. This is not an easy task as it must be readable, well structured, concise with no grammatical errors, and containing all relevant information needed by employers. In this paper, we present a newly designed context-free grammar for the dynamic synthesis of a CV. The grammar…

More than one year after the outbreak of the COVID-19 pandemic the behavior of figures published by official sources of the countries are skeptical for the public. Many probability tests are used to detect the reliability of information among which Benford’s Law. This study focused on the Western Balkan countries, as one of the foremost…

Municipal general waste accumulation including the general waste category of end-of-life tyres has become a universal predicament especially in the majority of first world countries as well as in the third world countries. South Africa is recognized for its economic growth and improved living standards of people which has led to the increased accumulation rates…

Municipal Solid Waste Management (MSWM) decentralisation brings about reductions in the amount of municipal solid waste (MSW) earmarked for landfilling worse still under situations where MSW is being sent to dumpsites. It also reduces the distances MSW collection vehicles travel during MSW collection, maintenance and transport costs due to the establishment of local level decentralised…

Municipal Solid Waste (MSW) is composed of items that are discarded or disposed of daily including paper, plastics, glass, metals, used gadgets, paint and old furniture. The plastic waste stream has proven to be problematic to manage sustainably on a global scale. Various researchers are trying to come up with innovative ways of alleviating the…

The suitability of incorporating waste transfer stations (WTS) in likely future Municipal Solid Waste Management (MSWM) systems for Harare city and neighbouring urban centres was assessed under this study. WTS will bring about location of landfills and other MSWM facilities further away from population centres, increasing recycling, reducing waste collection costs and burden on the…

The Micro-facial expression is the most effective way to display human emotional state. But it needs an expert coder to be decoded. Recently, new computer vision technologies have emerged to automatically extract facial expressions from human faces. In this study, a video-based emotion analysis system is implemented to detect human faces and recognize their emotions…

A new approach for designing RF energy harvester with a single stage converter circuit is presented in this paper. The proposed converter configuration is integrated with an antenna that is based on the coplanar waveguide (CPW) transmission line with improved gain resonated at 2.45 frequency ISM band. The CPW patch antenna as a harvester antenna…

In recent days, the fast growth of populations leading to an increase in medically complicated cases, especially fast spread viral cases around the world. These phenomena increased demand on auto-diagnose systems to speed up the diagnosis process and reduce human contacts, especially for the COVID-19 pandemic using deep learning (DL). DL methods can successfully carry…

Early detection and proper management of adult degenerative scoliosis (ADS) are important for health promotion. This study aims to develop an ADS screening tool from markerless digital photography and verify its reliability. The study included 17 participants. Outer canthus–horizontal angle (OHA) and trapezius–horizontal angle (THA) were calculated from the image of the upper body of…

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…

Artificial intelligence (AI) systems have been applied not only to numerical simulations of the economical sequences but also to the bio-signal, for instance, the statokinesigrams (SKGs). According to the nonlinear analysis of the bio-signal, we have considered that the motion process of the body sway is more random than that of the other bio-signal. In…

This paper presents a new observer-based method which deals with the extraction of amplitude of characteristic frequencies for the fault diagnosis in permanent magnet synchronous motors (PMSM). First, a pilot survey is made to investigate the typical harmonics in the line currents of PMSM. Second, an appropriate structure of observer is formulated with the input…

Light Emitting Diode (LED) lamps are used as a replacement of “old-fashioned” or incandescent lighting sources, as they reduce the amount of energy consumed. As a side-effect of more efficient energy usage they produce electrical noise. This noise reduces the efficiency of information signal transfer when Power Line Communications (PLC) are used. This study focuses…

Programming industrial robots in a real-life environment is a significant task necessary to be dealt with in modern facilities. The “pick up and place” task is undeniably one of the regular robot programming problems which needs to be solved. At the beginning of the “pick and place” task, the position determination and exact detection of…

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…

The main contribution of this paper is the framework of Application Programming Interface (API) to be integrated on a smartphone app. The integration with algorithm that generates fingerprints from the method ST-PSD with several parameter configurations (Windows size, threshold, and sub-score linear combination coefficient). An approach capable of recognizing an audio piece of music with…

Fossil fuel can no longer supply the constantly spiking demands of energy around the world, hence the increasing research on renewable energies as an alternative. The Stirling Engine is an external combustion engine, giving us a wide range of heat sources: solar, nuclear. The Stirling engine makes best of use of solar sources in an…

The Additive Manufacturing (AM) technology is a disruptive and novel technique that changes the paradigm of manufacturing methodology. It is based on the principle of having 3D parts by adding simple 2D layers on and on. Before AM was implemented, the conventional subtractive and chip-away techniques such as milling and turning processes had been used…

Depth prediction plays a key role in understanding a 3D scene. Several techniques have been developed throughout the years, among which Convolutional Neural Network has recently achieved state-of-the-art performance on estimating depth from a single image. However, traditional CNNs suffer from the lower resolution and information loss caused by the pooling layers. And oversized parameters…

Haze removal is an extremely challenging task, and object detection in the hazy environment has recently gained much attention due to the popularity of autonomous driving and traffic surveillance. In this work, the authors propose a multiple linear regression haze removal model based on a widely adopted dehazing algorithm named Dark Channel Prior. Training this…