International Journal on Orange Technologies

Using a Deep Convolutional Neural Network to Identify Vehicle Driver Activity

Shynu T, S. Suman Rajest, R. Regin, Steffi. R — Fri, 26 Jan 2024 00:00:00 +0000

Driver actions and judgments are the most critical aspects influencing passenger safety in a vehicle. Common things that drivers do include: driving safely, talking on the phone, texting, eating, reaching behind, altering hairstyle or makeup, operating the radio, and operating mobile phones. The first four are considered typical driving duties, whereas the latter seven are considered distractions. The strategy is to take in the live feed from the dashboard camera, process the frames with pre-trained convolutional neural network (CNN) models, and then refine it with the transfer learning method to identify the driver's activities. An activity recognition system for drivers is developed utilising deep Convolutional Neural Networks in order to monitor their actions (CNN). A warning is sent to the driver based on the identified driver's actions. In addition to activating the warning lights, the system gently slows down the vehicle or forces the driver to shift to the side lane and come to a complete stop in order to protect everyone in the vehicle and the surrounding area.

Adding Additional Substances to the Composition of Serobitum

Rosilov Mansur Sirgievich, Cho‘liyev Jamshid Ro‘ziboyvich — Mon, 05 Feb 2024 00:00:00 +0000

Analysis of methods of production of serobitum. Adding the necessary components to the composition of serobitum and obtaining serobitum with a high degree of strength on their basis. They improve the physico-chemical properties of serobitum.

Methods for Obtaining Modified Sulfur Bitumen

Rosilov Mansur Sirgievich, Cho‘liyev Jamshid Ro‘ziboyvich — Mon, 05 Feb 2024 00:00:00 +0000

Marketing Strategies of Ice Cream Companies in India

Saurabh Verma — Mon, 12 Feb 2024 00:00:00 +0000

Although India is the world's largest milk and dairy products producer, it is surprising to see that ice cream consumption remains low at 400 ml. The Indian ice cream market is expected to grow to over 50% from 2019 to 2022, owing to several factors, including ice cream varieties available for the consumers, such as soft ice cream and hard ice cream.

The Indian ice cream market consists of both Indian and international brands. These brands are present across metropolitan cities, small towns, and even rural areas. While big brands account for a significant share of the market in cities, it is mostly the unorganised players contributing significantly to its growth in rural areas.

Study of Chemical and Mineralogical Composition of Sylvinites of Tubegatan Mine

Munira D. Xaydarova, Rustam Y. Allazov, Samariddin Eshkoraev — Tue, 12 Mar 2024 00:00:00 +0000

The study delves into the chemical and mineralogical composition of sylvinites extracted from the Tubegatan mine. Through x-ray analysis of various components, including sylvinite samples and insoluble residues obtained during experimental melting processes, the research investigates the intricate composition of these materials. By scrutinizing the results of the x-ray analysis, the study unveils crucial insights into the chemical makeup and mineralogical properties of the sylvinites. Furthermore, the research scrutinizes the process of melting different samples of sylvinite to elucidate potential variations in composition and behavior under thermal conditions. This comprehensive analysis provides valuable knowledge essential for understanding the characteristics and properties of sylvinites from the Tubegatan mine, contributing to advancements in the field of mineralogy and facilitating informed decision-making in mining and processing operations.