Transactions on Engineering and Computing Sciences

Modeling of a Hybrid Electrical Network Under the Constraint of Availability of Energy Sources by a Dynamic Bayesian Network

Amadou F. Toure — 2025-01-12

As the world's energy shortages worsen, countries are starting to exploit renewable energies for which solar power becomes the first choice. Considering the insufficiency of hydraulic and thermal resources in Mali, the hybrid system photovoltaic coupled at the grid is necessary and natural. The present study aims to increase the contribution of renewable energy sources to the national electricity production of Mali, and to pave the way for a good supply of electricity, ensuring the sustainable development of the economy and society of Mali. A preliminary analysis defines the technical, economic and environmental conditions for the implementation of 30 MW solar power plants at three points of Mali's energy interconnection network. It can be a first contribution to demonstrating the feasibility of an integrated and self-sufficient energy model in this country. The power of 30 MW is compatible with the capacity of the interconnected network of Mali to absorb the electrical energy produced. For the location of the sites, several criteria have been taken into account for a definitive implementation (local climate conditions, proximity to the interconnected network, source of cooling water, social and environmental impact of the project).

The Sun and Moon are Larger by About 1.4% than we Think

Salah Abunaieb — 2025-02-20

This is a simple geometric modification to the currently recorded sizes of the sun and moon. The concept is based on the well-known observation that when looking at an object, it appears to progressively taper off toward its distant end. Spherical objects are no exception, even though their apparent tapering is not readily noticeable due to their unique geometry. As shown in this study, when looking at the solar disc or at the moon, we are actually looking at the base side of a seemingly slightly egg-shaped sun or moon. Given that the sun and moon are spherical in reality, the geometrically adjusted sizes show that each is about 1.4% bigger in volume than currently thought.

Transformative Effect: Rise of Intelligent Data Management in Integration with AI

Padma Rama Divya Achanta — 2025-02-17

Power of Artificial Intelligence (AI) is reshaping the way organizations collect, process and leverage data. Traditional data management systems often struggle to handle velocity, volume, and variety of modern data and types. This leads to inefficiencies in the system and losing opportunities of growth. AI powered data management systems handle these challenges very efficiently by automating tasks such as data cleansing, classification, integration to analysis. This transformative rise of intelligent data management, powered by Artificial Intelligence (AI) is reshaping the way organizations collect, process, and leverage data and has enabled organizations to extract actionable insights in real-time. This integration of AI combined with intelligent data management helps businesses to enhance its decision-making process, streamlines operations and unlocks new avenues of growth and innovation across the industries. This paper explores the transformative effects of intelligence data management systems powered by AI, highlighting its capabilities, benefits and potential pitfalls. Furthermore, it outlines its implications on privacy & ethical challenges which need to be addressed and future role of AI in shaping the future of data-driven ecosystems.

Enhance Parameter Identification Accuracy for State-of-Charge Optimization in Lithium-Ion Batteries

Ashraf A. Shanaq — 2025-02-09

For optimizing the performance, lifespan, and safety of lithium-ion batteries (LIBs), Accurate State-of-charge (SOC) estimation is important because it is a cornerstone technology used in electric vehicles and renewable energy systems. Based on these points, the study presents a novel approach for enhancing parameter identification accuracy that is a main challenge in SOC optimization. Through combining advanced mathematical modeling, hybrid optimization framework, and adaptive parameter identification techniques, the proposed method is showing superior performance across various scenarios. Secondly, the experimental results are showing that the proposed method achieves lower root mean square error (RMSE), and SOC estimation error is compared with conventional methods, including Extended Kalman Filter, Coulomb Counting, and hybrid data-driven models. Moreover, when dynamic driving cycles are used, then, SOC error was minimized to 1.94% that significantly enhance accuracy level. Also, robustness level under changing noise levels, temperature profiles, and aging effects was validated that shows the reliability of method in real-world applications. This study contributes to battery management system development through providing an effective and robust framework for SOC estimation and pave the way for next-generation battery technologies. However, future work is necessary to resolve computational optimization, scalability, and applicability across diverse chemistries to enhance its practical implementation.

A Unified Framework for Explainable and Privacy-Preserving Machine Learning in Real-Time Decision-Making Systems

Milad Rahmati — 2025-01-26

Machine learning (ML) has revolutionized real-time decision-making, enabling significant advancements in fields such as healthcare, cybersecurity, and autonomous systems. Despite these strides, two critical challenges hinder broader adoption: the lack of transparency in complex models and concerns about preserving user privacy. This paper introduces a comprehensive framework that combines explainable artificial intelligence (XAI) with privacy-preserving machine learning (PPML), tailored for systems requiring real-time responsiveness. The framework employs innovative methods, including interpretable modeling, federated learning, and secure computation, to balance accuracy with ethical considerations. Rigorous evaluations on benchmark datasets, particularly in healthcare and energy optimization, highlight its effectiveness, with results demonstrating a 15% increase in interpretability scores and 20% enhancement in privacy adherence compared to existing approaches. By addressing these critical barriers, the proposed framework establishes a foundation for integrating ML ethically and efficiently into real-time applications.

Design of Compact Vivaldi Antenna Arrays for AESA Radar System

Babu Saraswathi K. Lekshmi — 2025-01-17

This paper demonstrates a low-profile, wide band, miniaturized, Stripline fed double layered exponentially tapered slot antenna with a wide-scan capability and 10% bandwidth at the X-band frequency has been designed, fabricated, and tested. The antenna is optimized with a total size equal to 14.2x24.1x1.4 mm³ and is capable of achieving the desired bandwidth experimentally. The 9-element array and feeding network based on 1:9 T-junction power divider was employed to compose the linear array. The array elements are operating with return loss lower than 10 dB at X-band frequency. Measured results of single elements in isolated and array environment are achieved, both have a wide 3-dB beam width better than 107^oin the E- and H- planes, which is capable of a linear array with wide scan angle ±55^o. The linear array has a half power beamwidth of 11 degrees with side-lobe level of -12dB at 10GHz with a gain of 12dBi. These features make the antenna array fit for X-band airborne radar applications.

Prospects of Introduction of Integrated Quality Management Systems at Enterprises of Uzbekistan

Rustam Sadykovich Azimov — 2025-01-26

This article explores the prospects of implementing integrated quality management systems in enterprises across Uzbekistan, focusing on the insurance sector. The ISO 9001:2015 standard is highlighted as a universally applicable framework that aligns well with the principles of financial organization. Through thorough implementation of specific sections of the standard, insurance companies can enhance customer service quality and strategically position themselves in domestic and foreign markets. The government's role in encouraging certification and providing benefits for compliant enterprises is discussed, alongside global statistics on ISO certification. Case studies, such as the implementation at "Uzbekinvest" Insurance Company, demonstrate the positive impact of quality management systems on business performance.

Numerical Modeling of Temperature and Pressure Fields in an Enclosure with Two Openings in Natural Convection

Toko Christian Anicet Koueni — 2025-02-20

This work numerically studies the temperature and pressure fields generated by a solid heat source in an enclosure with an aspect ratio H/L = 0.82 having two symmetrical low openings in natural convection. The enclosure has a height H = 520 mm, a length L = 630 mm and a width l = 210 mm. The heat source is cylindrical with a diameter D₀ = 20 mm and a length l = 210 mm. 04 values of the power per unit length were imposed on the heat source corresponding to 04 reduced Rayleigh numbers 0.59 × 10¹¹, 1.78 × 10¹¹, 2.19 × 10¹¹ and 2.57 × 10¹¹. 03 CAS 21, CAS 22, CAS 23 enclosures different by the position of the heat source were studied. In CAS 21, the heat source is at position x+ = 0.24, in CAS 22 at x+ = - 0.24 and in CAS 23 at position x+ = 0. The study was carried out in steady state. Numerical studies were conducted by DNS considering that the heat source is at constant power per unit length. Numerical results show that in CAS 23 and whatever the values of the reduced Rayleigh number, the thermal plume is centered at a higher temperature than that of the environment outside the plume. The thermal plume is generated by turbulent natural convection. Its initial speed is a function of the speed of fresh air entering the enclosure through the openings and its initial temperature is a function of the reduced Rayleigh number. The gas movements at the openings are created by the static pressure difference between the inside and outside of the enclosure. In the CAS 21 enclosure, the thermal plume is deflected from x+ > 0 and in CAS 22 from x+ < 0. This deflection of the thermal plume towards one of the side walls of the enclosure may be due to the Coanda effect. The numerical results of the temperature and the differential static pressure agree with the experimental measurements.

Apply Reputation Proof with Load Services in Ad-hoc Networks

Ming-Chang Huang — 2025-02-15

In this paper, a new system design for load services in computer networks with a new reputation system is constructed to check available host reputation. Database systems are used for directory agents to save information provided by load-server agents and protocols are built how a host can find available hosts for load service and load transfer purposes when the host moves to a new region. This includes how a directory agent builds its database, how a load-server agent provides its services, and how a load-client agent gets its desired services. The system uses the fuzzy logic control method to transfer loads for load balancing, instead of fixed threshold level methods. The purpose of this new system structure is to provide efficient ways in building communication and accessing resources in ad-hoc computer network systems and helps users to find resources easily and securely.

Regulatory Algorithm as a Constructive Element of the Psyche of Homo Sapiens and Agi: Part 1

A. G Kruglov — 2025-02-05

Integral regulatory algorithms are used to determine the unstable "current equilibrium" of a homeostatic continuum. The regulatory algorithm (RA) is a circular closed dynamic psychophysiological construct that is structured as follows: homeostasis imbalance > need > goal image (information coded equivalent of need) > motive > goal-directed behavior > satisfaction of need > restoration of homeostasis balance. Integral RA are heteronomous metameres (HM) comprising spatio-temporal segments of the homeostatic continuum of a biological organism. A HM is an electrodynamic structure of a branched algorithm with neurophysiological, behavioral, and somatofunctional derivatives. All stable vital physiological states of biological systems are formed by targeted, phylogenetically/ontogenetically formed integral regulatory algorithms that are heteronomous metameres of the homeostatic continuum (RA = HM). Through its creative psyche, Homo Sapiens has expanded its range of interaction with the external environment beyond what other biological species are capable of. The socio-cultural needs of Homo Sapiens have given rise to a progressively increasing series of frustrations of ideal content realized by cycles of homomorphic goal-directed behavior (HGB) towards a goal image that is beyond the attainable. Cycles of completed HGB are segments/metameres of the homeostatic socio-cultural continuum. A dynamic sequence of metameres, cycles of HGB overcoming "barriers of uncertainty", on a population scale forms the dynamics and structure of the socio-cultural continuum of the HS population where the social construct is derived from a set of "cultural codes".

Multi Criteria Approach to Determine the Suitability of Application of Motorcycle Drawn Potato Harvesters

Martin M. Nanje — 2025-02-17

Agricultural mechanisation is vital because it raises labour efficiency and enhances farm production per worker. However, not all fields are suitable for mechanisation. This study sought to determine the viability of introducing potato harvesting equipment drawn by motorcycles in Nyandarua County, Kenya. Soil analysis was done on samples from different parts of the county to understand the properties of soils that affect agricultural tool interaction and to study the movement of the digging part of the machines in the soil. With the help of various physical and mechanical soil tests, this study spatially determined suitable areas for potato mechanisation using Multi-Criteria Evaluation and Geographic Information System analysis. The criteria used in this analysis were soil, climate, and topography. The criteria were selected based on information available about potato mechanisation. The data from the criteria was analysed in the Quantum Geographic Information System environment. A map was generated in which the area was classified into four suitability levels for the operation of a potato harvester: Highly Suitable (S1), Moderately Suitable (S2), Marginally Suitable (S3), and Not Suitable (N) based on Food and Agriculture Organization guidelines. The Analytic Hierarchy Process decision-making tool was used to determine each criterion's deduced weights and associated influence. The weights were used as inputs in the weighted overlay analysis and final maps generated. This research aids in informed decision-making for agricultural mechanization in Nyandarua County, helping farmers and policymakers identify the most suitable regions for adopting this technology. By enhancing labour efficiency and farm productivity, the findings contribute to the overall improvement of the agricultural sector in the region, emphasizing the importance of considering multiple criteria when assessing the feasibility of introducing new farming equipment.