Volume 11 | Issue 5 |

 Abstract

The rise of criminal activities worldwide has created a need for law enforcement agencies to implement more efficient methods for preventing crime. Traditional crime-solving techniques have been shown to be inadequate in the face of increasing crime rates. As a solution, the integration of machine learning (ML) and computer vision algorithms and techniques is a promising approach for predicting and preventing crime. The main objective of this study is to illustrate the potential of ML and computer vision in assisting law enforcement agencies in detecting, preventing, and solving crimes with greater speed and accuracy. The study highlights previous successful cases where these techniques have been applied, demonstrating their impact on law enforcement agencies through statistical analysis. The significance of this research lies in the potential to revolutionize law enforcement by significantly improving crime detection and prevention. If implemented successfully, the use of these techniques has the potential to ease the burden on police officers and lead to more effective crime prevention measures. The primary objective of this study is to create a machine learning-based predictive model for crime rates. The dataset utilized in this research encompasses various socio-economic, demographic, and geographic attributes that may influence crime rates. Different machine learning algorithms such as decision trees, random forests, and neural networks are used in this study to build and compare predictive models. The findings reveal that the predictive model based on the random forests algorithm delivers the highest accuracy for predicting crime rates. This research highlights the potential of machine learning techniques as a valuable tool to aid law enforcement agencies and policymakers in making informed decisions to prevent and reduce crime rates.

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Women write themselves based on the gender norms imposed upon their sex and the societal restrictions and standards practiced by the society at large. This paper aims to study how Shudha Mazumdar writes herself in the backdrop of a conservative society that she lived in and upon which she based her writing. The Self presented in women's writing is significantly different from that of a man as women identify themselves with a male figure in their life: be that of a father, husband, brother or son. Women depend on another relationship to write themselves and generally do not represent themselves as an autonomous identity but an identity in relation to another. The concept of relational identity needs to be explored further in order to understand how relationships influence identity and life-writing of woman autobiographers. Identity, particularly in women, is based on the kind of relationship she has with her family members, especially the mother. Her relationships with her family and loved ones permits her to explore her identity and define herself.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Self-representation, identity, gender, autobiography, relational identity

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The CAE tools are used in this work to assess and optimize the designs produced within the CREO software, which is used for the optimization of the oil filter support bracket used in our vehicles that are malfunctioning on the field in the South African market. Finite Element Analysis was used to validate the bracket's endurance and other characteristics. The bracket is subjected to both static and dynamic analysis, as well as mode and stress analysis. The new design is optimized using form and topology optimization methods to reduce the breakage failure of the Fuel filter support bracket and increase the stiffness of the bracket. The optimized design generated by the CAE tool is then empirically verified. The new design results in tension levels that must be lower than the material's durability limit, add to greater mass while costing less, and is efficient in mounting assembly. The CAE tool findings had a very high match with the testing results.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

oil filter, CAE tool , CREO software, optimization, fuel filter method

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Intersections should have traffic signals for the purpose of ensuring safe driving. They disrupt and lessen traffic flow because of the queue delays at each traffic flow. In areas with high population densities, traffic congestion is a major challenge. Your location can be reached in a short while or up to an hour. Because to inefficient traffic management, which might be remedied much more swiftly in the technologically advanced world of today. For better traffic control, image processing techniques are developed as opposed to a time-based approach. Image processing enables us to more quickly clear traffic by calculating the number of vehicles in each traffic lane. This project makes use of the Yolo algorithm. The real-time characteristics of the traffic flows intended to cross the intersection at each traffic light are taken into account by this algorithm during the planning phase. The new algorithm will result in a decrease in traffic waiting time at intersections with signalized traffic, which will improve traffic flow. Also, more cars will be passing the crossing every second.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Traffic Management, Yolo Algorithm, Signalized Traffic.

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Creative Commons Attribution 4.0 and The Open Definition

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The format and design of the vehicle number plate are to be recognised using fancy number plate detection. The number plate contains the vehicle identification number and passing information. The format of licence plates as specified by the RTO and the government must be recognised by the system we are creating. We snap a picture of the vehicle's number plate and use number plate recognition software to examine it to see if it complies with RTO requirements. It also has a wide range of potential future uses for decreasing criminal activities, like auto theft. Our objective is to produce a reliable, strong product.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Character segmentation, fancy number plate recognition, image processing, database comparison and RTO.

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Creative Commons Attribution 4.0 and The Open Definition

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As a result of the smart grid's rapid development, the volume of user-side data has increased dramatically. Load forecasting is vital in order to control the smart grid. But traditional load forecasting methodologies now confront the difficulty of maintaining the accuracy of dynamic forecasting. Due to concerns with latency, security, and other factors, processing all of the data in a centralized data center is not ideal, so we need an effective technique. A potential computing ,edge computing performs calculations locally and overcomes the above challenges. The objective of the project is to meet the requirement of demand analysis using Long Short-Term Memory (LSTM) network based on a short-term load forecasting approach for more accurate load forecasting results.

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Creative Commons Attribution 4.0 and The Open Definition

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Smart grids, Load forecasting, Long Short Term Memory(LSTM), Edge computing

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Creative Commons Attribution 4.0 and The Open Definition

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t: Our everyday life has become smarter and more practical. We already know some voice services like Cortana. Now, our voice assistant system can act like an auto chrome, it can open social network websites in your web browser, tell you the time and ask you to be informed on Wikipedia. This project works by inputting voice and rendering voice. Outputs and displays text on the screen. Our flagship voice assistant program makes people smarter and gets results faster with computers. Speech Assistant picks up voice input with a microphone and translates the voice into understandable computer language to provide the necessary solutions and custom responses. This service connects to the World Wide Web and provides the results requested by the user. Natural language processing algorithms allow computer systems to communicate using natural language in a variety of ways.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Virtual assistant, machine learning, artificial intelligence, python, pyqt5.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

There are close to 39 million blind people and around 285 million visually impaired people globally. There is a huge impact on the lives of visually disabled people due to this. Although there have been several attempts made for helping visually disabled to see objects via other alternating means such as sound and touch, the development of text reading device is still at a nascent stage. The system currently in existence either has a limited scope or requires a heavy investment. Therefore, we need a cost effective and truly efficient system that will be able to automatically identify and recite text aloud to visually challenged user base.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

tesseract ocr, espeak sythesizer, audiobook for visually impared people

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Creative Commons Attribution 4.0 and The Open Definition

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Food, as a metaphor, tends to bring families and relationships closer together. According to Chinese culture, "bao" means treasure as well as security and protection. Bao is a 2018 Oscar-winning animated short film about a Chinese Canadian mother who suffers from empty nest syndrome and is given a second chance at motherhood when a dumpling comes alive. Empty nest syndrome refers to the feeling of grief that parents experience when their child moves out of the home. This paper is an attempt to read the archetype of the mother as a caregiver, as someone who loves their child a little too deeply, and how family is represented through the food metaphor of bao. The element of anthropomorphism placed on the dumpling that comes out alive is essentially an allegorical dream that happens to the empty-nester mother in the film.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

empty nest syndrome, archetypal criticism, anthropomorphism

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Crop price prediction is important for farmers as it helps in making intelligent decisions about agricultural production, trade. With accurate price forecasting, farmers can optimize their planting decisions, determine the time for harvest, and plan their sales strategy to get the best prices for their crops. The importance of crop price prediction has grown in recent years, as climate change and other factors have made agricultural markets increasingly volatile, making accurate price forecasting more critical than ever. As a result, there is a growing need for sophisticated models that can analyse large amounts of data to provide accurate predictions of future crop prices. Farmers are not any longer looking to use analytics to get data they need to realize actionable insights and take informed decisions. Most of the farmers in other countries are started to migrate for automated farming. Estimating and evaluating crop prices prior to cultivating a particular crop can lead to informed decision-making, reducing losses and effectively managing risks of price fluctuations. When the price falls ,farmers face immense losses. We used the Random Forest Algorithm to analyse the previous data and predict the price for the latest data and estimate the price

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Crop Price prediction,Soil Testing,Random Forest Algorithm

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Creative Commons Attribution 4.0 and The Open Definition