Search

Security is top concern for all business owners. Issues related to protecting trade secrets, confidential information, company information and customer data continue to be problematic, especially as hackers learn new ways to defeat security measures. In addition to utilizing enhances security techniques, such as two-factor authentication (2FA). Artificial Intelligence recognizes a user's keystrokes and habits to provide additional security. Currently a big debate raging about whether Artificial Intelligence (AI) is a good or bad thing in terms of its impact on human life, with more and more enterprises using AI for their needs. Biometric logins are increasingly being used to create secure logins by either scanning fingerprints, retina or palm prints. This can be used alone or in conjunction with a password and is already being used in most new smart phones. Biometrics is a method of providing authentication through measurable physical characteristics. It uses characteristics of the body as a method to code or scramble/descramble data. Physical characteristics such as fingerprints, retinas and irises, palm prints, handwritten signature, wrist veins, facial structure, and voice recognition are just some of the many methods of biometric encryption in use today. Since these characteristics are unique to each individual, biometrics are seen as the answer to combat theft and fraud, particularly when dealing with commerce over the Internet. The reason that this new technology is believed to be superior to the use of passwords or personal identification numbers (PINs) is that a biometric trait cannot be lost, stolen, or recreated, at least not easily. It is based on the concept that 'you are your own password'. Soon, this kind of request may become a daily reality. Today, so many transactions and exchanges happen electronically, it is necessary to prove to a machine that you are who you claim to be. The current options are not the best way to protect private information. People loose cards, forget passwords, or write PIN numbers on a piece of paper for everyone to see. The way to keep information secure is to offer up a piece of yourself-a biometric identifier-to be recorded and used to verify your identity. [ABSTRACT FROM AUTHOR]

Face Mask recognition has developed as an extremely admired issues in several domains such as image processing, computer vision and artificial intelligence. Several novel approaches are being developed through deep learning based Convolutional Neural Network model to detect the face mask identification. In this paper, we propose "FMNet" model which indicates Face Mask detection Neural Network model for recognition of face mask person on publicly available face masks images as resources. Furthermore, we applied image preprocessing, feature extraction have performed using CNN, applied FMNet model for face mask recognition from images, and finally perform classification technique to categorize the images as person "wearing masks" and "not wearing masks". Our experimental outcome generates better performance in finding face mask by achieving accuracy as 99.7%. Moreover, comparing our proposed algorithm results with pre-trained models namely VGG 16 attains 99.6%. This system has capability to perform in real time application creates it applicable to identify people in airports, buses, schools etc. [ABSTRACT FROM AUTHOR]

Classifying foods and analyzing their contents can help people use a certain healthy diet and avoid some foods depending on a person's health condition and his culture of that community. For the purpose of classifying foods and determining their components accurately and efficiently, it has been suggested that using Artificial Intelligence and machine learning algorithms can help, so, it has been used by researchers in various studies andvarious ways, either by ways of identifying ingredients by recognizing and classifying images or label recognition on food envelopes. In this paper we present a study on methods and algorithms used for the purpose of food classification by artificial Intelligence and machine learning. [ABSTRACT FROM AUTHOR]

This paper presents an approach to calculate the bus voltages of a power system. The steady state performance of the power system is described by a system of nonlinear algebraic equations. The traditional methods for solution are based on numerical analysis. They are failed to converge for the cases of high loading and for ill-conditioned systems due to the singularity of the Jacobian matrix. The proposed approach is based on a chaotic whale optimization Algorithm. The solution of the system of nonlinear algebraic equations is tackled as an optimization problem. The proposed algorithm is applied to a heavily loaded standard systems where the traditional method fails to get a steady-state solution. Also, the presented algorithm can be applied to obtain the solutions of a system under large motor starting. The results obtained is an indication of the effectiveness of the proposed approach in solving the steady state of power system for a wide range of loading conditions. [ABSTRACT FROM AUTHOR]

Picking the correct undertaking the executives arrangement, especially for huge development projects, is constantly muddled and full of vulnerability. Undertaking the board viability, as per the first sources, is reliant on consolidating the three establishments of " the executives presence ", " fabricate and streaming projects ", and " utilizing the product ". Instruments and methods are explicitly in the ability fields of architects and heads. The other two establishments, then again, rely upon the yields of the instruments and strategies in a roundabout way. Thus, techniques and methods assume a basic part in project the board's compelling execution. While man-made consciousness' plan includes information assortment, enlistment, and analysis translation to clarify human knowledge demonstrating and the utilization of non-mathematical calculations to tackle complex issues. Thus, there are a few uses for the apparatuses in four regions: project interchanges the board, project hazard the executives, project acquisition the board, and incorporation the board. The 5 territories of undertaking the board are examined in a paper gave the nature library. Organization executions of computerized reasoning and programming utilized in this space, just as useful guides to contrast and traditional development the executives draws near, have been noted. [ABSTRACT FROM AUTHOR]

The document is a preface to the 1st International Conference on Artificial Intelligent Systems for Sustainable Solutions (AIS3 2023). The conference, organized by the Department of Electronics and Communication Engineering at C Abdul Hakeem College of Engineering and Technology in India, focused on the applications of artificial intelligence systems for sustainable engineering solutions. The conference covered various topics such as computer vision, data analytics, communication networks, IoT, renewable energy, security and surveillance, healthcare, industry 4.0, and smart cities. Keynote speeches were given by Dr. Muhammad Usman from Edge Hill University in the United Kingdom and Dr. Jobin Christ from Rajalakshmi Engineering College in Tamil Nadu, India. Out of more than 50 papers received, only 28 were selected for publication. The document is published by AIP Publishing. [Extracted from the article]

The paper examines the study of determining the actual state of resources in the process of production planning. The solution to the problem helps to ensure trouble-free production, which implements the reliability function. Artificial intelligence methods based on machine learning are proposed to solve the state of resources. Such methods allow identifying anomalous events. The resulting data allows for tracking the presence of defects or other problems in the enterprise resources. [ABSTRACT FROM AUTHOR]

The paper presents an experience of computer vision technologies application at industrial production enterprise for manual operations identification and control. Computer vision intelligent module is implemented using an artificial neural network. Main attention is given to development of a harmonious artificial intelligence environment including both manual operators and intelligent modules. Special software and hardware is deployed to support the technological processes. An example of practical use is given for production of wires and accessories for automotive wiring harnesses in Samara region. [ABSTRACT FROM AUTHOR]

Chatbot is a computer application that cooperates with clients utilizing regular language processing. Much of the time, it can give excellent client driven proposals. Therefore, Chabot is turning into a necessary part for the upcoming years of customer services. Now-a-days, chatbots are becoming more popular in fields like e-commerce, travel and tourism, universities, personal assistants etc., One of the main problems that food industries facing is that customers could not able to get their updated details of the food products. Usage of search engines may solve their queries but it takes a lot of search time and sometimes the answer for the queries will not be available. Additionally, web indexes are not as adaptable as chatbot in providing one to one correspondence inquiry. The objective of this paper is to develop an Artificial Intelligence (AI) where each activity can be thought to be a sure inquiry that is given to the chatbot, it responds to the user's query by applying group examination on a bunch of product related data. The outcome, at that point, is taken care of into Chabot's information base. This chatbot will help users to get data on which potential destinations they need to visit ideally on the off chance that they are under restricted time-opening requirements. [ABSTRACT FROM AUTHOR]