Volume 11 | Issue 5 |

 Abstract

This Projects presents a video deblurring technique that utilizes a denoising engine to enhance video clarity. The proposed method leverages the ability of the denoising engine to learn the structure of clean videos and use that knowledge to estimate the clean version of a blurry video. First, nonlocal means (NLM) regularisation may be used to get redundant information on the self similarity of video images. Afterward, we provide a novel restoration model by integrating several regularizers, particularly the Min and Max filter with NLM regularizer and denoising regularizer. We employed the most straightforward gradient descent approach to solve the video picture restoration model. The results of the experiments demonstrate that our technique has a decent deblurring effect and noise reduction.

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 Keywords

NLM

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 Abstract

Software development process, which is really defined as software development lifecycle (SDLC) basically consists of various phases like planning, requirements analysis, design, implementation, testing, deployment and maintenance. SDLC is a set of predefined tasks performed at every step of software development. Software Development lifecycle can consist of various process methodologies that can be undertaken by developers for the development of software. These methodologies are derived from two basic methodologies: Traditional methodologies and agile methodologies. Traditional methodologies are more planning driven. Agile methodologies are based on more incremental and iterative development where requirements and solutions evolve via flexibility and collaboration of self-organising teams involved in the development process. In this paper, we will describe the various methodologies that are used for software development process, their merits and their demerits, a detailed review of literature focusing on key research in this area that has been done till now, how the selection of these methods can affect the overall development process and the product and also the results of an empirical survey conducted regarding the different methodologies adopted by some well-known organisations in the field. The results of survey primarily focus on two important aspects: 1. there is no one method that an organisation can adopt for all the projects. An organisation needs to take several parameters into consideration while selecting a method of software development, the key parameters of which are: Project focus, expected product of the project, flexibility of timeline. Allotted budget and the number and type of teams working on the project, along with many other parameters. It can be concluded that depending upon the client requirements and feasibility, an organisation can also develop an altogether a new model of working which is termed as hybrid model i.e., using combination of different methods at the same time, in order to gain more efficiency and deliver high quality end product.

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 Keywords

Software development lifecycle; traditional methods; waterfall method; agile method; scrum.

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 Abstract

Stock market forecasting using machine learning Stocks are an excellent source of passive income. Machine learning can be used to predict stock prices. The idea behind our project is to use machine learning to predict the future of the stock market. The project is funded by a crowd-sourcing website.

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 Keywords

SVM, STOCKS, MACHINE LEARNING, PREDICTION, RELIANCE STOCK and ACCURACY.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Today's society has a number of problems, but the biggest one is credit card fraud, which needs to be addressed. In order to make the source of cash untraceable, "credit card fraud is the process of cleaning dirty money." Due to the massive quantity of financial transactions that take place on a daily basis in the worldwide market, it might be difficult to identify credit card fraud. To identify suspicious activity, the (Anti-Credit Card Fraud Suite) has been introduced; however, it is only relevant to individual transactions and not to other bank account transactions. By identifying shared characteristics and behaviours with other bank account transactions using structural similarity, we offer a machine learning solution to address these difficulties.

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 Keywords

Credit cards, SVM, Fraud

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 Abstract

This project aims to put a cutting-edge home protection system within the grasp of the general population. Nowadays, theft from safe houses is common because thieves can get away with it easily. This plan was therefore developed to stop crimes like this. incorporate a stealth monitor into the plan. The speech chip will then instantly broadcast the audio message. The main concept behind the system is that the IR sensors will detect a passing individual from any of the four directions. The concept is to successively trigger the magnetic switches using a permanent magnet. Magnetic controls placed behind the wall are concealed from view. The switch will be activated by a magnet put near it. These toggles can be positioned wherever the creator pleases. Only those with the necessary permission are aware of where these valves are located precisely. The right switches must be turned on in the proper symbolic sequence in order for the door to unlock. If the incorrect sequence is input three times in a succession, the door will stay closed and an SMS will be sent to the authorised mobile specified in the controller programme via the GSM interfaced to the controller. A servo motor-driven sliding door mechanism is a component of the display section. A wooden plank is used to depict the wall that houses the entrance mechanism. Due to GSM's worldwide network and unrestricted range, users can receive communications wherever they happen to be. Also kept a mystery are the sites of the invisible magnetic controls.

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 Keywords

IR sensors, Magnet switches, GSM module, 33A3 voice module, H bridge.

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 Abstract

Natural Language Processing (NLP) is one of the important issue of concern in giving computers the ability to understand text and speech in much the same way human beings can. NLP can be used in subjective answer evaluation in various ways. One of the most common approaches is to use NLP techniques to automatically score the quality of a written response based on its language features, such as grammar, syntax, vocabulary, and coherence. This can be done by training machine learning algorithms on a large dataset of human-scored essays or short answer responses, using the language features mentioned above as input features, and the corresponding scores as target values. The trained model can then be used to automatically score new responses based on their language features. Another approach is to use NLP techniques to analyses the content and structure of the response, in order to identify key concepts and arguments and assess their relevance and coherence with the question prompt. This can be done by using techniques such as topic modelling, sentiment analysis, and text classification. Overall, NLP can be a powerful tool for subjective answer evaluation, as it can help to improve the efficiency and consistency of the grading process, while also providing valuable insights into the language and reasoning skills of the students.

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 Keywords

Subjective Answer Evaluation, Natural Language Processing, Machine Leaning

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 Abstract

Abstract: This study assessed the physico-chemical quality of river Kyasara, Jhalawar District (Rajasthan). River water samples of Kyasara were collected from 10 sampling sites and analysed as per standard methods. Sampling was done during three seasons (summer, rainy and winter) throughout the one year from various villages (Nov., 2010 to Oct., 2011). The physico-chemical parameters like pH, turbidity, total dissolved solids, total hardness and concentrations of ions like chloride, fluoride, nitrate and sulphate were analyzed to know the present status of the river water quality. The results were compared with the drinking water standards of ISI (10500-91) and WHO (1973). It was found that the river water was contaminated at few sampling sites therefore needs to be treated if it is to be used at all. The remaining sampling sites shows physicochemical parameters within the water quality standards and the quality of water is good and it is fit for domestic uses, drinking and agricultural purposes.

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 Keywords

Keywords: River water, Drinking water, Physiochemical parameters, Water quality standards.

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 Abstract

This paper is based on developing a "Smart Farming Using Automation" which operates on the three modes namely, timer mode, Soil moisture mode and PH Sensor mode as per the benefit of farmer. This paper present an automatic drip irrigation system based on PLC. Utilizing soil moisture sensor and PH sensors. The function of soil moisture sensor is to identify the amount of water required for irrigation; then PLC control the water solenoid valves through solenoid valve based on moisture content that is less or at correct level. Fertilizer providing system is also added to the water irrigation system based on pH content in the soil This paper is concentrated on the agricultural system that can be used to control the parameters of agricultural field. Observation by implementing this work shows efficient use of water to crop, improvement in losses due to change in climate, proper usages of fertilizer in the agricultural field. The proposed automation scheme is implemented in real time using Mitsubishi FX3 PLC platform. Water scarcity and increasing demand for agricultural productivity have driven the need for efficient irrigation systems. In this study, we propose an automatic drip irrigation system using a PLC for precise control and management of the irrigation process. The system integrates sensors for monitoring soil moisture, temperature, humidity, and weather conditions, which are connected to the PLC. The PLC processes the sensor data and uses predefined logic-based programming to control the operation of valves, solenoid valves, and other components of the irrigation system.

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 Keywords

Automation, Mitsubishi FX 3 PLC, Soil Moisture sensor, PH sensor, Solenoid valves.

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 Abstract

Low Cost Automation (LCA) can certainly play an important role in streamlining the sorting process for businesses. By utilizing DC motors controlled by a Programmable Logic Controller (PLC), the sorting process can be automated in a cost-effective and user-friendly manner. It is true that wi+th the increasing rate of production, there is little variation in the height, color, weight, and shape of the manufactured products. Therefore, it becomes important to ensure that the sorting process is precise and free from human errors. The use of sensors in the sorting process can ensure that the products are sorted accurately based on their height variation. The conveyor belt system can be used to pass the products before the sensors, and the PLC can make decisions based on the sorting logic. Overall, the development of a LCA system for sorting lightweight products can significantly improve the efficiency of the manufacturing process. With low maintenance costs, long durability, and ease of use, LCA systems can be a valuable investment for businesses looking to streamline their operations.

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 Keywords

PLC, Low cost automation, Conveyor belt, Sorting, Object, Human, Sensor, Drive, Motor.

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 Abstract

Organisations must implement employee training and development programmes if they want to improve the skills and knowledge of their personnel. The research on how well these programmes work to enhance employee performance, engagement, and organisational outcomes is summarised in this abstract. The results show that properly planned training programmes have a favourable effect on worker productivity and job satisfaction. Training initiatives also boost staff commitment to the company and engagement. The study also shows a significant link between organisational performance, particularly financial results, and training efficacy. These initiatives promote knowledge transfer and skill development, as well as improved levels of staff retention. The research as a whole emphasises the critical part that staff training and development programmes play in realising both personal and organisational success.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

employee training, employee development, training effectiveness, employee performance, employee engagement, organizational performance, skill development, knowledge transfer, job satisfaction, employee retention.

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Creative Commons Attribution 4.0 and The Open Definition