Papers by Dr SYED JAHANGIR BADASHAH
Applied Nanoscience, Jul 26, 2022
International Journal for Research in Applied Science and Engineering Technology, Jan 31, 2023
Security and safety are growing in popularity as time goes on, and they are being enhanced and ut... more Security and safety are growing in popularity as time goes on, and they are being enhanced and utilised to make our lives easier. Technology has now permeated every aspect of human life, so protecting the security of one's home, place of business, or organisation cannot be overlooked. Developing a smart receptionist with a smart lock system was mostly done for security reasons. When the front entrance of the house, business, or organisation is closed, this clever security system is employed to detect a visitor. The Raspberry Pi and Telegram bot are used in this setup to issue commands that operate the door lock. In this system, anytime a person approaches the door, the PIR sensor detects their presence, activates the camera, records a 5second video of the individual, and sends a notification to the user via Telegram. The system will open the door if the owner permits entry, and the door will remain locked if the owner forbids entry using commands sent through the Telegram bot.
International Journal for Research in Applied Science and Engineering Technology, Jan 31, 2023
Each organization provides transportation vehicles and employs people to keep records of the entr... more Each organization provides transportation vehicles and employs people to keep records of the entry and exit of those vehicles. The entry and exit times of vehicles are recorded using RFID. Radio frequency identification (RFID) is a wireless technology system consisting of her two components of a tag and a system. Radio frequency identification (RFID) is also used for vehicle monitoring. How the use of electromagnetic or capacitive coupling in the high-frequency portion of the electromagnetic spectrum draws attention to objects, animals, or people. An RFID chip contains a radio transmitter that transmits a coded identification number when interrogated by a reader. Some of his RFID tags can be inspected from a few meters away, out of sight of the reader. Bulk reads allow near-parallel analysis of tags. This small type is incorporated into customer products for identification and even implanted in pets. RFID has many uses in our daily life. Tags can be attached to any object and used to track and manage inventory, people, and more. For example, it can be attached to vehicles, laptops, books, cell phones, etc., and the owner or student can use her Google spreadsheet to track the vehicle by location. User can scan her QR or access Google Sheets.
International Journal for Research in Applied Science and Engineering Technology
Vehicle leaving is a significant issue in metropolitan regions in both created and emerging natio... more Vehicle leaving is a significant issue in metropolitan regions in both created and emerging nations. Following the quick increment of vehicle proprietorship, numerous urban communities are inadequate with regards to vehicle leaving regions. This awkwardness is somewhat because of incapable land use arranging and errors of room prerequisites during first phase of arranging. Lack of parking spot, high stopping duties, and gridlock because of guests in look for a stopping place are a couple of issues instances of regular stopping. Equal leaving is normally a driver's most terrible bad dream since, it requires the driver's abilities as well as builds the chance of different drivers finding their left vehicle. Independent vehicle leaving was acquainted with experience the above vehicle leaving issues.
International Journal of Recent Technology and Engineering (IJRTE), 2019
The investigations from recent studies clearly show the potential of lung sounds in detection of ... more The investigations from recent studies clearly show the potential of lung sounds in detection of lung abnormalities in human subjects. This paper aims to analyze lung sounds acquired using special electronic stethoscope for detection adventitious sounds arising out of pathological lungs due to various disease like brochities especially in pediatric population. For acquisition and recording of lung sounds, 3M Littmann 3200 model is utilized. After verifying fidelity of electronic stethoscope, the analysis of lung sounds was carried out by various spectral and temporal features. The features extracted were fed to artificial neural network for classification. Various combinations of ANN with different topologies were experimented. The overall accuracy of obtained with one hidden layer GFF is 94.95%.
International Journal for Research in Applied Science and Engineering Technology
Falling down from a wheelchair is among the significant reasons for clinical issues that are face... more Falling down from a wheelchair is among the significant reasons for clinical issues that are faced by older individuals, small babies, and handicapped individuals. These individuals will more often harm themselves from tumbling down when they are alone. When a falling occasion happens, clinical consideration needs to give promptly to diminish the gamble of the faller from getting serious wounds that might prompt demise. A few advances have been created and a few used webcams to screen their exercises. Nevertheless, the cost of movement and foundation is exorbitant and only relevant for the indoor environment. Some clients additionally stressed over their security issues. The current marketed gadget is by wearing a wearable remote crisis transmitter which confines the development of the client and produces a high Phoney problem. This examination proposed a wheelchair-individual fall identification framework using Arduino and gyroscopic sensor which is financially savvy and dependable to identify falls and alarm encompassing to call for help. For fall discovery, the mpu6050 sensor GSM module and Arduino are carried out into the framework. At the point when fall occasions happen, the information incorporating the area of the wheelchair will be sent to the caretakers of that person and the alarm fixed to the device will be turned on automatically. Also, this framework requires less execution cost and gives a speedy reaction. It can introduce in the current business wheelchair. For the future proposal, a superior GUI configuration can be executed into the framework other than that, more discovery frameworks can be added to build the precision of the framework.
International Journal for Research in Applied Science and Engineering Technology
Contactless Doorway Security System for Remote Monitoring and Control the usage of ESP32-CAM and ... more Contactless Doorway Security System for Remote Monitoring and Control the usage of ESP32-CAM and a Cloud Server". People need protection in every place viable while they're into their houses or far from their houses. An anti-robbery device is a tool or approach used to save you or deter unauthorized intrusion or trespassing hobby in its insurance area. The carried-out device changed into evolved in a mixture of hardware and software. It's a completely unique protection device made with low-value wi-fi digital digicam and sensors which ensured far-flung tracking and manipulate of doorways. The device empowered the consumer to screen the entrance by taking pictures of the usage of a high-performance wi-fi digital digicam i.e. ESP32-CAM connecting different gadgets and sensors in an IoT network. For different duties like manipulating digital door lock remotely, to click on greater pix, in addition, to get notifications a cloud server application "Blynk" changed into used over the clever-phone. A fundamental project changed into to expand this dynamic The Project suggested right here in and titled "Design & Implementation of an IoT Networked.
In this study we provide the implementation design and hardware structure for the architecture pr... more In this study we provide the implementation design and hardware structure for the architecture proposed in the previous paper “Image Enhancement and Surface Roughness with Feature Extraction using DWT ” IEEE DoI/10.1049/cp.2011.0464. The proposed architecture has been implemented in Microwind and Tanner for power analysis and characteristic study. The result shows very low power consumption than the existing method for a series of IEEE standard test images.
This paper presents the methods required to implement a high speed and high performance parallel ... more This paper presents the methods required to implement a high speed and high performance parallel complex number multiplier. The designs are structured using Radix-4 Modified Booth Algorithm and Wallace tree. These two techniques are employed to speed up the multiplication process as their capability to reduce partial products generation and compress partial product term by a ratio of 3:2. Despite that, carry save-adders (CSA) is used to enhance the speed of addition process for the system. The system has been designed efficiently using VHDL codes for 8x8-bit signed numbers and successfully simulated and synthesized using Xilinx [16].
In today’s competitive world, the best way to survive a company is to produce a good service and ... more In today’s competitive world, the best way to survive a company is to produce a good service and a quality product. One of the best way to monitor the surface quality of a machined part is to measure the surface roughness. Surface metrology with image processing is a challenging task having wide applications in industry. Surface roughness can be evaluated using prediction approach. Image denoising involves the manipulation of the image data to produce a visually high quality image. The filtering approach has been proved to be the best when the image is corrupted. The need for quality control and performance testing has become an integral part of the procedure. Surface finish plays an important role in several engineering applications like surface quality of any machined part, performance of good quality machined components and significantly improves fatigue strength, corrosion resistance, creep life etc.
2020 International Conference on Smart Electronics and Communication (ICOSEC), 2020
Today in agricultural sector, identification of rice type is important and this should be accurat... more Today in agricultural sector, identification of rice type is important and this should be accurate. The type of rice grain is determined by inspection officer using which the results are mostly relative and time consuming. It might also be affected by their mental state, etc. So to overcome the shortcomings that occur on reducing traditional methods that use neural networks. Also the quality plays a vital job in formatting the cost, which is to be paid to the farmer. Even this can be accurately calculated using image processing techniques. The image preprocessing techniques like gray scale conversion and median filtering are used. Image segmentation algorithms are applied and then some features are extracted and fed to the neural network as input. After the network is trained, test inputs are given to predict the type of rice.
-Surface roughness, is a measure of surface quality is one of the specified requirements in a mac... more -Surface roughness, is a measure of surface quality is one of the specified requirements in a machining process. Integrating machine vision in technical community for past few decades of years is a major parameter that deals. Many researches have been carried out on machine vision applications in industries, as they have the benefit of being noncontact and speedy process than contact methods. Machine Vision, can be used to analyze and determine the area of the surface, and machine vision information can assist sensors to make intelligent decision on the applications. In this work, surface roughness Estimation has been done by Machine vision system. Extraction of features for the enhanced images in spatial frequency domain done with the help of Transform techniques. A neural network (NN) is trained with feature extracted values as input acquired from wavelet Transform and examined to obtain Rt as output. The estimated surface roughness parameter (Rt) results obtained based on NN are compared with Rt values obtained from the Stylus method .
Techno-Societal 2020, 2021
Journal of Computer Science, 2014
In this study we provide the implementation design and hardware structure for the architecture pr... more In this study we provide the implementation design and hardware structure for the architecture proposed in the previous paper "Image Enhancement and Surface Roughness with Feature Extraction using DWT" IEEE
International Journal of Scientific Research, 2012
International Conference on Sustainable Energy and Intelligent Systems (SEISCON 2011), 2011
Integrating machine vision in industrial automation involves providing computers typically of hum... more Integrating machine vision in industrial automation involves providing computers typically of human vision. Vision "engines" are increasing in advances in processors like Digital Signal Processors (DSP), speed and decreasing in cost. The vision algorithms for creation of a vision application capable of selected image processing and analysis functions have been developed. They include storing an image into memory, the application of noise filters, segmenting the image and performing connected component analysis. The image processing is a computational intensive task with applications in various engineering fields.
International Journal of Intelligent Systems
Osteosarcoma is the malignant bone sarcoma that is characterized by widespread genomic disruption... more Osteosarcoma is the malignant bone sarcoma that is characterized by widespread genomic disruption and the inclination for metastatic spread. Early detection of osteosarcoma increases the survival rate. Various osteosarcoma detection methods are adopted to detect osteosarcoma at an early stage, but evaluating the slides under the microscope to find the degree of tumor necrosis and tumor result is a major challenge in the medical sector. Hence, an effective detection method is developed using the proposed Fractional‐Harris Hawks Optimization‐based Generative Adversarial Network (F‐HHO‐based GAN) for detecting osteosarcoma at an early stage. Here, the proposed F‐HHO is designed by the integration of Fractional Calculus and HHO, respectively. Accordingly, the classification of viable tumor, nontumor, and the necrotic tumor is carried out by GAN using the histology image slides. GAN is used to perform osteosarcoma detection based on the features extracted from the image through the process of cell segmentation. The training process of GAN is done using the proposed F‐HHO algorithm. However, the proposed F‐HHO obtained better performance using the metrics, namely, accuracy, sensitivity, and specificity with the values of 98%, 98%, and 98% for training percentage and 96.282%, 97.552%, and 95.651% for K‐fold, respectively.
International Journal of Intelligent Systems
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Papers by Dr SYED JAHANGIR BADASHAH