Journal of Control & Instrumentation

Latest articles

• Published Subscription Review Article 26 Oct 2026

  Smart Electric Fence: A Deep Learning-Based Intrusion Detection System

  By L Irfana, Abilash R S, Jagan S S, Sanio Solomon

  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 →

• Published Subscription Review Article 26 Oct 2026

  Real-Time Fault Detection and Diagnosis in Switched Reluctance Motor Using Advance Deep Neural Network for Electrical Vehicles and Industrial Applications

  By Siddhi Kiran Adhav, G. Vijayakumar

  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 →

• Published Subscription Review Article 21 Oct 2026

  Autonomous Delivery Drone or Vehicle Fleet Managerial System

  By Palavi Chaudhari, Harshda Raghuawanshi

  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 →

• Published Subscription Review Article 9 Oct 2026

  Hopf Bifurcation–Driven Chiral Amplification in an Oregonator-Based Oscillatory Chemical System with Optimal Control of Time-Scale Separation

  By Lakshmi. N. Sridhar

  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 →

• Published Subscription Review Article 9 Oct 2026

  Total Laboratory Automation in Resource-Constrained Settings: Cost-Effectiveness, Workflow Transformation, and Quality Outcomes

  By Atul Khajuria, Musaib Shameem, Zubair Rashid, Nahida Bilal, Asif Ahmad, Jasir Ahmad

  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 →

• Published Subscription Review Article 1 Jul 2026

  A Review on Automatic Railway Gate Control System

  By Ravi Patil, Radhika Nikam, Shravani Pawar, S.R. Takale

  Abstract: Railway transportation is one of the most efficient and widely used modes of transport; however, safety at level crossings remains a critical issue, especially at unmanned or manually operated gates. A significant number of accidents happen as a result of human carelessness, insufficient coordination, and postponed gate operations. To address these issues, the Automatic Railway Gate Control System has been created as a viable solution to improve safety and minimize …

  Published in Journal of Control & Instrumentation · Vol. 17, Issue 2, 2026 · pp. 1–7 Read article →

• Published Subscription Review Article 1 Jul 2026

  Review on Automatic Irrigation System

  By Vikas Arjun, Mahesh Khandekar, Rushikesh Magar, S.K. Godase

  Abstract: The Automatic Irrigation System is a contemporary technological innovation aimed at improving water efficiency in farming and landscaping uses. This system guarantees that water reaches plants according to real-time data including soil moisture, weather conditions, and set irrigation schedules by combining sensors, microcontrollers, and automated valves or pumps. The main objective of an automated irrigation system is to increase water efficiency, decrease waste, and boost crop production while limiting human …

  Published in Journal of Control & Instrumentation · Vol. 17, Issue 2, 2026 · pp. 25–30 Read article →

• Published Subscription Review Article 25 Jun 2026

  Automatic Car Controller Based on Sign Board using Deep Learning and IOT

  By T. M. Dudhane Guide, Pravin R. Katta, Omkar V. Jagtap, Rushikesh V. Kale

  Abstract: The rapid growth of intelligent transportation systems has increased the demand for safer and more efficient driving solutions. Conventional vehicles often rely heavily on human intervention, which can lead to accidents due to negligence, fatigue, or poor visibility of traffic signs. This project proposes an automated car control system that utilizes deep learning and Internet of Things (IoT) technologies to recognize traffic signboards and respond accordingly. The primary objective is …

  Published in Journal of Control & Instrumentation · Vol. 17, Issue 2, 2026 · pp. 16–24 Read article →

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