Volume 12 | Issue 5 |

 Abstract

: In present world where there is an increasing number of vehicles, it has become more apparent that manual record-keeping is insufficient to manage the vast influx of vehicles. Having a continuous human presence to record license plate numbers is not only labour-intensive but also challenging. Additionally, there are concerns about the legibility of manually stored data. Instances of theft within residential societies are often linked to insufficient authentication procedures during exit, especially during nighttime hours. Authorization for exit is granted only if the information associated with the vehicle and the individual aligns with the database records. To enhance authentication, QR codes are employed. During the time of entry, the number plate recognition serves to be an exceptional solution. The user enters without any obstruction if found to be a resident, and if not, registers himself as one and moves ahead for his own business. At the time of exit, a protected QR code scanner is accomplished by the number plate recognition. This QR code scanner works in a protected manner where the individual consents to their identity. It will be used to match the encrypted key using the designated software or application and when found to be illicit, is denied the exit from the premises. Hence, a protected QR code scanner prioritizes user safety by inspecting content and employing encrypted measures to avoid risks and misleads that may occur. The combination of Python for development, Yolo V8 for real-time object detection, Easy OCR for precise character recognition, and a protected QR Code scanner for authentication reasons, propel this system to an unprecedented level of performance and reliability. This system has the potential to revolutionize security and management at various entry points, ensuring smoother operations and heightened security measures at all times.

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 Keywords

: License Plate Detection, License plate Extraction, Character Segmentation, Character Recognition, Protected QR Code Scanner.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study aims to explore the clinical presentation, treatment efficacy, and management challenges of Obsessive-Compulsive Disorder (OCD) in a patient with predominant compulsions related to washing clothes and hands due to fear of contamination.One of the most widely recognized impulses saw in OCD is unnecessary hand washing, frequently determined by an extraordinary apprehension about pollution. This survey looks at the predominance, clinical highlights, hidden components, and treatment moves toward explicitly connected with impulsive hand washing in OCD.The pattern of fixations and impulses sustains tension and misery, prompting critical impedance in personal satisfaction.The case involves a 40-year-old lady diagnosed with OCD, focusing on her compulsive washing behaviours.Treatment approaches for impulsive hand washing in OCD commonly include a blend of pharmacotherapy and psychotherapy. Specific serotonin reuptake inhibitors (SSRIs), like fluoxetine and sertraline, are the first-line pharmacological treatment choices. Mental social treatment (CBT), especially openness and reaction counteraction (ERP), is viewed as the highest quality level psychotherapeutic medication for OCD and has exhibited viability in diminishing habitual hand washing ways of behaving.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Obsessive Compulsive Disorder, Washing hands and clothes, Recurring thoughts, Cognitive Behaviour Therapy,Exposure Response Prevention, Repetitive behaviours , Medication , Pharmacotherapy, specific serotonin reuptake inhibitors (SSRIs) .

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Locating large picture collections requires the use of content-based image retrieval systems. Convolutional Neural Networks (CNNs) are deep learning algorithms which have upgrade the CBIR with their immense picture feature extraction capabilities. The efficiency of CNNs, ResNet-50, and VGG16 three prominent CNN architectures--for image retrieval is studied in this work. This is investigating a transfer learning-based deep learning framework for CBIR. In this study pre trained models such as CNN, ResNet-50 and visual geometry group (VGG-16) are used to obtain properties from image. These models were trained using large Cifar-10 image datasets. These attributes allow for efficient retrieval based on similarity by capturing the visual properties and semantic content of the images. The study evaluates how effectively these CNN architectures perform in terms of retrieval accuracy. A versatile framework for modifying feature extraction layers is provided by standard CNNs. With its residual connections, ResNet-50 enables deeper structures and better learning. VGG-16's depth can cause overfitting on smaller datasets. The results of this study can help in the development of reliable and effective Content based image retrieval systems. For researchers and practitioners looking to use deep learning for image retrieval applications, the comparison offers valuable insight.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

CBIR, CNN, Pretrained RESNET-50 model, Pretrained VGG16 model, Cifar-10 dataset.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The nationalist movement that gave the freedom of the country through the leadership of Gandhi. With the participation of many people from different places irrespective of the caste, class, gender etc. Gandhi roles in the organising of national movement from 1919 to 1947. Gandhi weapon of Satyagraha, as a form of struggle, was based on the active participation of the people and on the sympathy and support of the non- participating millions. This paper focused on the various Movements during the Gandhian era and also the participation of women during that period. Additionally it also focuses little on the media influences or the participation of media that give a changes or give a way of communicating tools in the movement to the people's of the country.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Satyagraha, Nationalism, National Movement,

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This research work introduces a new system for cars that can understand how the driver feels using facial recognition technology. It combines this with picking music from Spotify to match the driver's mood. The system watches the driver's face with a camera and uses a smart program to figure out if they're happy, sad, or other emotions. It then picks songs that match how they feel. Additionally, the system can suggest things like rest stops or calming exercises based on the driver's emotions. This new way of using technology in cars aims to make driving safer and more enjoyable. A camera in the car watches the driver's face as they drive. A computer program quickly looks at the video and figures out the driver's emotions by recognizing facial expressions like smiles or frowns. It can tell if the driver feels happy, sad, angry, surprised, or just neutral. Once it knows how the driver feels, it talks to Spotify or a similar music service to choose songs that fit the mood. This makes sure the music matches the driver's emotions, making driving more personal and enjoyable.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Recognition System, Intelligent Systems, Smart Vehicle, Road Safety, Emotion Identification, Music

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Its farmers selling application

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work

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

To keep pace with the updates in obliging informatics, thriving recuperating data is being amassed unendingly. Regardless, inferable from the not too appalling gathering of its classes and sources, therapeutic data has ended up being particularly jumbled in various specialist's work environments that it now needs Clinical Decision Support (CDS) system for its affiliation. To sensibly utilize the party flourishing data, we propose a CDS structure that can interweave mixed thriving data from different sources, for instance, take a gander at office test works out as planned, critical information of patients, and achievement records into a joined depiction of features everything considered. Using the electronic prospering healing data so made, multi-name delineation was used to endorse a layout of afflictions and thusly help experts in diagnosing or treating their patients' therapeutic issues more capably. Once the ace sees the contamination of a patient, the running with organize is to consider the conceivable complexities of that perplexity, which can impel more infections.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Clinical Decision Support, analysing and file.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Dihydropyridine derivatives were synthesized via a unique, environment friendly, and highly effective one-pot multicomponent process, which produced a good to wonderful yield. An important class of low molecular weight heterocyclic scaffolds is represented by 1, 4-dihydropyridines and their derivatives. The Hantzsch pyridine synthesis was completed quickly at room temperature in solvent-free condition using various 1,3-diones and the same starting ingredient aldehyde derivatives such as 5-bromothiophene-2-carboxaldehyde and ammonium acetate in the presence of the catalyst ceric ammonium nitrate (CAN). Interestingly, we discovered that just one of the compounds had excellent antifungal activity against Candida albicans when compared to griseofulvin, while all the compounds were assessed for their in vitro antibacterial and antifungal activities. Every chemical has had its cytotoxicity evaluated using cell lines from breast tumours.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

one-pot multicomponent, Heterocyclic scaffolds, 1, 4-dihydropyridines, ceric ammonium nitrate, Hantzsch reaction.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Techniques for Preventing Crime Numerous factors, including social, political, and economic ones in addition to environmental ones, have an impact on crime. Humans have a basic need for security and safety. The rate of crime in India's cities has been steadily rising, and efforts to lower it are working. People are drawn to dwell in this neighborhood by its cosmopolitan lifestyle, spacious roadways, cutting-edge amenities, and serene surroundings, yet these same attributes also make it susceptible to criminal activity. Because the police do not respond to crimes in a timely manner, many of them go unreported and ignored. Criminologist C. Ray Jeffery developed the idea of crime prevention through environmental design (CPTED) in 1971. Other notable criminologists who supported the idea included Timothy D. Crow, C. Ray Jeffery, architect Oscar Newman, Jane Jacobs, and Schlomo Angel. First proposed by criminologist C. Ray Jeffery in 1971, the idea of crime prevention through environmental design (CPTED) was further developed by renowned criminologists Timothy D. Crow, C. Ray Jeffery, architect Oscar Newman, Jane Jacobs, and Schlomo Angel. The main factors that determine safety and security in an urban setting are (i) surveillance will someone committing a crime be seen by anyone? (ii) access how easy is it to enter and exit a place? and (iii) territoriality does anyone care about what goes on around them, or is there a sense of belonging to the space among the users? Building layouts, street designs, public spaces, and public facilities can all be addressed at the urban design level to influence both the likelihood of crime and the fear of it. The authors do, however, recognize several commendable initiatives in Indian places such as Ahmedabad, Bangalore, and Surat, where improved surveillance techniques combined with community involvement have transformed the urban landscape and significantly increased public safety. In order to address security concerns in Indian cities, this paper aims to identify the factors that lead to criminal activity within an urban area. It also emphasizes the importance of crime prevention strategies and the applicability of environmental criminology to Pandesara city planning and management practices.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Environmental Criminology, Crime Prevention Strategies, Urban Design, Pandesara

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The efficient operation of three-phase induction motors is crucial for various industrial applications. However, the occurrence of faults can lead to unexpected downtime and costly repairs. This project proposes a novel approach for fault diagnosis in three-phase induction motors by integrating wavelet analysis and artificial neural networks (ANN). Wavelet analysis is employed for feature extraction from motor current signals, allowing for the detection of subtle changes indicative of different fault types. The extracted features are then fed into an ANN model, trained to classify various fault conditions accurately. The effectiveness of the proposed methodology is demonstrated through simulation data of three phase induction motor under different fault scenarios. Results indicate that the combined approach of wavelet analysis and ANN yields high accuracy in fault detection and classification, enabling proactive maintenance and minimizing downtime in industrial systems. This project contributes to advancing the field of condition monitoring and predictive maintenance for three-phase induction motors, offering a robust solution for early fault detection and diagnosis, thereby enhancing reliability and efficiency in industrial operations.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

ANN, Three phase Induction Motor, Quality Disturbances, Wavelet Transform ,Faults etc.

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Creative Commons Attribution 4.0 and The Open Definition