Journal of Control & Instrumentation
Volume 17, Issue 3 (2026)
Table of contents
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Total Laboratory Automation in Resource-Constrained Settings: Cost-Effectiveness, Workflow Transformation, and Quality Outcomes
Abstract: Total laboratory automation (TLA) has emerged as a transformative approach to enhance efficiency, quality, and safety in clinical laboratories. By integrating automated pre-analytical, analytical, and post-analytical processes, TLA has the potential to reduce errors, shorten turnaround times, and optimize resource utilization. However, the adoption of TLA in resource- constrained settings remains limited due to high capital investment requirements, infrastructural challenges, and workforce adaptation barriers. This review examines evidence on the …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 3, 2026 Read article
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Hopf Bifurcation–Driven Chiral Amplification in an Oregonator-Based Oscillatory Chemical System with Optimal Control of Time-Scale Separation
Abstract: Nonlinear chemical systems exhibiting oscillatory kinetics and symmetry-breaking behavior have been widely studied in the context of reaction–diffusion chemistry and crystallization processes. However, the interaction between oscillatory dynamics and chiral amplification mechanisms remains insufficiently understood within a unified dynamical systems framework. This work aims to develop and analyze a reduced-order nonlinear model that couples an Oregonator-type activator–inhibitor system with a chiral response variable, and to investigate the role of Hopf …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 3, 2026 Read article
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Autonomous Delivery Drone or Vehicle Fleet Managerial System
Abstract: This review presents a clear conceptual framework for an autonomous delivery drone / vehicle fleet managerial system, emphasizing Artificial Intelligence (AI), Machine Learning (ML), Electrical and Electronics Engineering, and operational safety. The proposed architecture receives delivery requests, checks payload and route feasibility, assigns a suitable drone or ground vehicle, predicts travel time and energy demand, monitors missions through telemetry, and re-plans when traffic, weather, battery state, or vehicle availability changes. …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 3, 2026 Read article
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Real-Time Fault Detection and Diagnosis in Switched Reluctance Motor Using Advance Deep Neural Network for Electrical Vehicles and Industrial Applications
Abstract: In today world, electric motor play very big role in industry and daily life. Switched reluctance motor (SRM) is one of the important types of motor because it is simple in construction, low cost and high efficiency but SRM also faces many problems like noise, vibration and fault in power converter or winding. When these faults come, performance of motor goes down and sometime full system stops working. To solve …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 3, 2026 Read article
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Smart Electric Fence: A Deep Learning-Based Intrusion Detection System
Abstract: Intrusion of humans and wild animals into protected areas such as forest boundaries and agricultural lands poses significant challenges in terms of safety and resource management. Conventional electric fencing systems operate continuously without distinguishing the type of intrusion, leading to inefficient energy usage and potential harm to wildlife. The design and partial implementation of an intrusion detection system for smart electric fence based on deep learning are presented in this …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 3, 2026 Read article