Journal of Science Engineering Technology and Management Science

There are two designs of thin film narrow band-pass filters with several cavities. These filters, which are the most used filtering technologies, have been crucial to the advancement of technology in contemporary optical communication systems. This work focusses on a theoretical investigation of optoelectronics physics, which is primarily connected to the design and analysis of this kind of filter. The technology of thin film multicavity filters is briefly introduced. We'll cover some recent developments in thin-film multi-cavity technology design. TiO2 and SiO2 are the two materials used in these designs as high and low index. The three and four wavelengths (730,800 and additionally 835,432,560 and 774 nm) can be detected by these wavelengths, which range from 600 to 900 nm. The filter's function is to filter fused silica with index 4.23.

Keywords : Dense wavelength, division multiplex, band-pass filter

Author : Madhavi Latha

Title : Designing Thin Film for Wavelength Division Multiplexing

Volume/Issue : 2024;01(01)

Page No : 01-04

With the rapid proliferation of Internet of Things (IoT) devices, modern homes and industries are becoming increasingly security and control problems of electrical systems. As devices become interconnected, we find that traditional ways of managing electrical devices are no longer sufficient to address vulnerabilities. An IoT based device security and control system is proposed in this paper to enhance both the security and functionality of electrical infrastructures. With a combination of sensors, real time monitoring and secure communication protocols; the system allows the users to remotely manage and secure their electrical devices.

Keywords : IoT, electrical device security, remote control, anomaly detection, encryption, cloud computing, energy efficiency.

Author : Raja Sekhar and Anil Mohan

Title : Security and Control System for IoT-Based Electrical Devices

Volume/Issue : 2024;01(01)

Page No : 05-08

: The number of automobiles is steadily rising worldwide. Additionally, automobiles are being sent to Bangladesh's major cities. As a result, there are massive traffic jams and congestion that are becoming worse every day. Due to traffic congestion, residents of metropolitan areas are wasting a significant amount of time. To reduce traffic system congestion, we create an intelligent traffic control system. This traffic signal will be automatically controlled by the system. The light for the congested portion of the path will be green, while the other portion will be red if a specific number of cars are stopped at the traffic signal. The first path will reach a specific number of cars on the initial attempts, and the second will change to green first, then red. Furthermore, our intelligent traffic control system has the ability to sense ambient temperature. A specific car bearer will receive this signal and temperature information via Short Message Service (SMS)

Keywords : Red Signal, Short Message Service (SMS), Vehicle, Intelligent Traffic Control system

Author : Madhuri and Niharika

Title : Intelligent Traffic Control System Design

Volume/Issue : 2024;01(01)

Page No : 09-11

This paper primarily focuses on examining how distance impacts walking activity and patterns for classification purposes. The research provides a comprehensive overview of human walking behavior, the workflow of the tool programming language, detailed techniques for feature extraction and pattern classification, and the participants' perspectives. The study thoroughly documents all these aspects. The participant engaged in a variety of walking exercises in a controlled laboratory environment. It was discovered that the moderating effects of walking distance might account for the diversity in research output from the Gyroscope, Accelerometer, and Compass. When it comes to identifying human motion and patterns, the anticipated results will be very helpful to researchers and medical professionals.

Keywords : Accelerometer, gyroscope, pattern classification, and human motion

Author : Vijay Mehata

Title : A Mediating Factor between Pattern Classification and Walking Activity

Volume/Issue : 2024;01(01)

Page No : 12-15

In recent years, the increased adoption regarding the application of electronically controlled adjustable speed drives in manufacturing environments in industrial settings has led to a notable deterioration in power quality within the electric power system. This issue is especially prevalent in cement plants since they use more electric adjustable speed drives. This research examines the harmonic distortions produced by the electric drives with adjustable speeds at Anjani Cement Ltd. in Jaggayapet, Nalgonda, A.P., India. To determine whether harmonic currents or voltages are relevant, harmonic measurements have been done at a number of motor drives using a Fluke 564 power quality analyses. Based on these measurements and further computations, the harmonic content of these motor drives is examined and found to be kept to a minimum within the bounds of international standards. The capacity of power filters to lower harmonics has drawn a lot of attention lately. This study develops an active power filter based on real-time harmonic data readings to minimize harmonic in MATLAB/Simulink

Keywords : Drives with movable speeds, power quality, harmonics, power quality analyzer, active power filter, and harmonic reduction.

Author : Vijay Varma

Title : Industrial Motor Drive Harmonics Mitigation in Cement Plants Using Active Power Filters

Volume/Issue : 2024;01(01)

Page No : 16-21

Based on the network's modifications and the type of data it perceives; the machine learning system was specifically created to save energy and extend sensor life. Additionally, by combining similar types of data that are sensed inside the network coverage region, the sensor network is created using machine learning and the BAT computational approach to minimise the network under redundancy. Additionally, the network uses very little energy from the sensors, therefore feature sets in fuzzy-neuron machine learning mode are employed to choose neighbours. Furthermore, the packet speed sensed and the detecting intervals between packets are used to calculate the energy used by the sensor in the network. Additionally, the neural network is used to open and aggregate the data. The approach designed to reduce the aggregation method's energy use. The same data is then aggregated once that is finished (removing the noise from the data). This lowers energy consumption and increases the use of network resources. Furthermore, a routing path that optimises during the routing path development process is created using BAT computation, resulting in a consistent and energy-efficient path.

Keywords : BAT routing, fuzzy neural network, aggregation, redundancy, and sensor network

Author : Swathi Priya and Swetha Reddy

Title : Wireless Networks with Machine Learning Routing Enabled

Volume/Issue : 2024;01(01)

Page No : 22-27