Journal of Research in Engineering and Computer Sciences

Dynamic Behavior for an Eight-enterprise Interaction Model with Multiple Delays

Chunhua Feng — 2026-09-25

In this paper, a four-enterprise interaction model with delays is considered. The oscillatory behavior of the solutions is investigated. We extend the result in the literature from a mathematical point of view. Some sufficient conditions to guarantee the oscillation of the solutions are provided and computer simulations are given to support the present criteria.

Determination of Impulse Polarity Effect of Earthing Systems by Field Measurement

Nkwa Agbor Etobi Arreneke — 2026-09-25

Within the past couple of decades, a lot of emphasis have been made by researchers in the field of electrical power and high voltage engineering in particular towards the design, installation and analysis of earthing systems suitable for lightning protection, and other unwanted electrical interference. Although all these have healed significant improvement in design and installation, it has been fairly understood by many researchers and engineers engaged in the design and installation processes of earthing systems. On the other hand, their analysis at times can be very complex ranging through the use of rigorous computer aided simulations to field test. Some researchers even hold the opinion that, field test are time consuming, expensive and not properly understood. Adding to this, design engineers are also faced with numerous soil profiles and weather conditions around the world making it difficult to draw a definite conclusion on standard design considerations that could be applicable uniformly on different soil conditions. Adding to these complexities, effect of the performance of an earthing system in practice does depend solely on the design or conductors buried, soil conditions and analysis but as seen in this study, the effect of impulse polarity also plays a significant role to the earthing system’s performance. In this study, it is observed that positive and negative impulses also present a challenging outcome to the earthing systems performance. It is also concluded in this study that; the impulse resistance varies with the type/design of earthing system installed.

Study on Development, Prospects, Challenges, and Applications of Solar Panels in Present Global Contest

K A Hossain — 2026-09-16

Solar power is a rapidly expanding renewable energy source that converts sunlight into electricity via photovoltaic (PV) cells. Over the last decade, global solar capacity has grown exponentially, fueled by decreasing technology costs and ambitious government climate goals. China, the US, and the EU lead in total installed capacity. Advancements in perovskite solar cells and bifacial panels are expected to further boost energy yields. Solar is anticipated to become the primary source of global electricity in the coming decades. However, intermittent generation necessitates significant investment in battery storage and grid upgrades. Supply chain issues for critical materials such as polysilicon, silver, and silicon persist. Beyond large-scale solar farms, applications include building-integrated photovoltaics (BIPV), floating solar on reservoirs, and agrivoltaics combining farming with solar panels. Flexible solar panels offer a breakthrough solution to structural limitations. Unlike rigid panels, they are lightweight and easily integrated onto various surfaces, including curved and uneven ones enabling industrial facilities to convert previously unusable spaces into energy-generating sites. Traditional panels often face space and structural challenges on rooftops and facades, leaving solar potential underused. Flexible panels stand out for their innovative design and technology. This review discusses key information, materials, advantages, applications, and the transformative role of solar technology in general and flexible solar technology in particular in the global energy landscape.

AI-Driven Failure Analysis in Engineering Systems: LSTM-Based Failure Prediction with Efficient Dependency-Graph Transitive-Closure Updates

Michael Hyder Jr — 2026-09-16

Failure analysis is essential for ensuring the reliability and safety of engineering systems. However, conventional approaches are often too resource-intensive to keep pace with the growing complexity and interconnectivity of modern engineering systems. This research proposes a novel, AI-driven combinatorial approach to failure analysis. By integrating natural language processing (NLP), machine learning (ML), and graph-theoretic methods, the approach aims to improve component-failure prediction, generate actionable insights, and help safety and reliability engineers identify failure patterns that inform more resilient system designs. The proposed approach uses a long short-term memory (LSTM) network to predict component failure probabilities and represents complex interdependencies among system components with a dependency graph. The graph’s transitive closure is cached and incrementally maintained using efficient algorithms, enabling on-demand recalculation of estimated component failure probabilities as the system design changes. An aerospace engineering case study is used to demonstrate the approach’s application in a real-world setting. The proposed AI-driven approach offers a promising path to improving system safety and reliability across a range of engineering domains, particularly in industries that operate highly complex, safety-critical systems. Future work should train the LSTM on larger, more representative datasets to improve the accuracy of failure-probability predictions.