Applying black-box ML models in high-stakes fields like criminology, healthcare and real-time operating systems might create issues because of poor interpretability and complexity. Also, model building methods that include interpretability is now one of the growing research topics due to the absence of interpretability metrics that are both model-agnostic and quantitative. This paper introduces model…

This article presents a roadmap for distribution grid µPMU hardware and software design consideration and implantation to ensure high performance within limited computational time of sampling frequency 512 samples/cycle. A proposed 12 channels, multi-voltage level µPMU hardware and rules of voltage and current transducer, analog filter, analog-to-digital converter, sampling rate definition, and PCB design and…

Mobility is a fundamental human desire. All societies aspire to safe and efficient mobility at low ecological and economic costs. ADAS systems (Advanced Driver Assistance Systems) are safety systems designed to eliminate human error in driving vehicles of all types. ADAS systems such as Radars use advanced technologies to assist the driver while driving and…

Hydrocarbon exploration and production has been successful in the central region of Doba basin, Chad, north-central Africa. In order to optimize the hydrocarbon production in this area, the combination of seismic and well log datas have been processed and analyzed to better characterize, image and capture the reservoirs. The 3D seismic and well log datas…

In this paper, we investigate the utilization of three effective detection methods to identify potential threats of insects in date palm trees. The detection techniques presented here are the application of infrared radiation, microwave antennas and metamaterials based sensors. Experimental trials using IR radiation took place in a local farm. Moreover, the second sensing system…

Owing to the recent development of AI technology, various studies on computer-aided diagnosis systems for CT image interpretation are being conducted. In particular, studies on the detection of lung cancer which is leading the death rate are being conducted in image processing and artificial intelligence fields. In this study, to improve the anatomical interpretation ability…

Redundant robotic systems provide great challenges in solving kinematics and control problems, that are yet also open opportunities for exploring new, diverse and intelligent ideas and methods. In this paper, an advanced control method is proposed for position control problems of redundant robots with output constraints. The controller is structured with two control layers. In…

Optoelectronic devices applications based on Organic–inorganic perovskites are promising and effective low-cost energy materials due to their exceptional physical properties which include high carrier mobility, high optical absorption coefficient, and long carrier diffusion length. In the presented work, a TiO2/NiO+5% Fe quantum dots (QDs)–doped CsMAFAPbI2Br2 perovskite heterojunction broadband photodetector was fabricated on FTO/glass substrate. The…

Nigeria has one of the highest deforestation rates in the world, due mainly to felling of trees for fuelwood and charcoal production. This challenge could be managed if agricultural waste briquettes are used to augment the fuelwood demand for cooking energy provisioning. Energy density of biomass fuels can be raised by blending with coal, but…

Technologies designed for digital provenance, especially the Internet of Things (IoT) and blockchain, may allow for security, transparency, and traceability in the global supply chain. However, upstream nodes in the supply chain that work for large-scale production suppliers are not considered. In addition, most IoT blockchain systems adopt an ID-based signature scheme that may affect…

The Internet of Things (IoT) is the evolving paradigm of interconnectedness of objects with varied architectures and resources to provide ubiquitous and desired services. The popularization of IoT-connected devices facilitating evolution of IoT applications does come with security challenges. The IoT with the integration of wireless sensor networks possess a number of unique characteristics, so…

A novel PVTL (Process, Voltage, Temperature, Leakage) detection circuit consisting of four individual detectors is proposed in the investigation. Voltage Variation Detector is composed of a feedback control block comprising multi-stage delay cells using high Vth devices such that 0.5% of VDD variation can be detected. Temperature Detector based on a current to pulse converter…

DNN implementation and deployment is quite a challenge within a resource constrained environment on real-time embedded platforms. To attain the goal of DNN tailor made architecture deployment on a real-time embedded platform with limited hardware resources (low computational and memory resources) in comparison to a CPU or GPU based system, High Performance SqueezeNext (HPS) architecture…

The use of decentralized reinforcement learning (RL) in the context of multi-agent systems (MAS) poses some difficult problems. The speed of the learning process for example. Indeed, if the convergence of these algorithms has been widely studied and mathematically proven, they suffer from being very slow. In this context, we propose to use RL in…

The main purpose in this work is to explore the fact that chaos, as a biological characteristic in the brain, should be used in an Artificial Neural Network (ANN) system. In fact, as long as chaos is present in brain functionalities, its properties need empirical investigations to show their potential to enhance accuracies in artificial…

Overall Performance (OP) measurement is an essential instrument in sustainable manufacturing implementation and management. The effective use of key performance indicators (KPIs) can potentially contribute to identify the firm’s overall performance, provide the crucial gaps between desired results and current actions, and thus facilitate the implementation and execution of improvement strategies. This study attempts to…

Blockchain technology is seeing a trend of popularity and adoption in many different application areas. One such area is healthcare, as there is a need to develop a system that can reliably store and share electronic health records (EHRs) among hospital-based health facilities. In this paper, we present a cloud-based hierarchical consortium blockchain framework for…

Instead of approaches of solid mechanics or a formal description of experimental data an interdisciplinary approach is proposed to consider failure and deformation as thermodynamic processes. Mathematical modeling of the processes is carried out using rheological models of the material. One fracture criterion is used, that formally corresponds to the achievement of a threshold concentration…

WhatsApp application is considered the largest messaging application around the world and an important source of information, they just incorporated a new technique that operates on end-to-end encryption, which presents a significant problem for forensic investigators and analysts. This study describes how to recover the encryption key from WhatsApp to decrypt WhatsApp databases and retrieve…

An enduring vision of Artificial Intelligence is to build robots that can recognize and learn the visual world and who can speak about it in natural language. Automatic image description generation is a demanding problem in Computer Vision and Natural Language Processing. The applications of image description generation systems are in biomedicine, military, commerce, digital…

On Renewable Energy (RE), this field covers the most significant share of the world energy demand and challenges on the expensive measurement and maintenance equipment to be used. In all studies and designs, global solar radiation (GSR) measurements require assessment, estimation, and models to be applied together with the environment and meteorological data on installing…

Our world is characterised by uncertainty and complex, relational structures that carry temporal information, yielding large dynamic probabilistic relational models at the centre of many applications. We consider an example from logistics in which the transportation of cargoes using vessels (objects) driven by the amount of supply and the potential to generate revenue (relational) changes…

DC Microgrids (DCMGs) aggregate and integrate various distribution generation (DG) units through the use of power electronic converters (PECs) that are present on both the source side and the load side of the DCMGs. Tightly regulated PECs at the load side behave as constant power loads (CPLs) and may promote instability in the entire DCMG.…

The Nodes equipped with wireless technology cooperate in an autonomous and instantaneous way to form a mobile ad hoc network. It turns out that several factors make this type of network vulnerable to various security threats. Considering the sensitivity of user data routed through nodes, routing security should be a priority in mobile ad hoc…

The present work develops an estimator for thermal conductivity using a simple exper- iment implemented in a simulated solid metallic bar. The bar is sectioned in a finite number of segments, lately called nodes, and a discretization of the Fourier heat equation is applied in each node to generate a timed-spaced model of the temperature…