Showing 3 results for Database
R. Shiva Sahnkar, Ch. Raminaidu, D. Ravibabu, Vmnssvr Gupta,
Volume 31, Issue 3 (9-2020)
Abstract
In the currentworld the best modefor transport is two wheeler transports. But huge risk is involved because of having protection at lower level. This paper proposed an approach for automatically detecting whether the rider wear helmet or not with any manual intervention. If the rider of the bike identified not wearing helmet, then corresponding two wheeler number plate was read and noted. Data records of every offender who were not wore helmet will be automatically saved into the database A database will be generated with records to identify every offender accurately. This paper aims to explain automatic detection of motor cyclists without helmet and sending the messages to detected persons. Our proposed system is to extract the vehicle number from the RTO website using number plate of a vehicle by using the captured images. After getting the information use mobile number as a input to our model using this mobile number sending the fine details to the detected person. Our system maintains a database for number of detections of that particular vehicle numbers and also sending the detecting location details.
Mahdi Rahimdel Meybodi,
Volume 32, Issue 3 (9-2021)
Abstract
Today, one of the most important concerns of production units is the evaluation, analysis and risk management in the production process. In this research, based on the fuzzy control approach, a scientific and logical method for evaluating, analyzing and managing risk in the production process is presented. Based on the proposed method of this research, after identifying the risks in the production process of products, according to the three criteria of failure severity, probability of failure and detectability, as well as using the best - worst method, evaluation and determining the importance of these risks, is done. Then, with the fuzzy rules, fuzzy inference system is designed. The final result is the classification and prioritization of identified risks. Finally, the proposed research model for an applied sample is used and its final results are analyzed.
Ag Kaifah Riyard Kiflee, Nornajihah Nadia Hasbullah, Faerozh Madli,
Volume 35, Issue 2 (6-2024)
Abstract
Over the years, the attention given to corporate social responsibility (CSR) and sustainability topics has received a lot of attention significantly and various new terms have been introduced. This result has sparked a wide-ranging and unspecified discussion, particularly in the fields of economics and business management. The presents of functional CSR and sustainability enable management to make better decisions for the benefit of the entire society. As a result, understanding the topic of interest and broadening research collaboration are critical for advancing research development. The purpose of this study is to identify global research trends in CSR and sustainability based on publication numbers, co-authorship, affiliated countries, and keyword co-occurrences. This study used RTools and Prisma for its analysis. The findings indicate a significant rise in the number of articles published in the field of corporate social responsibility and sustainability since 2015. The USA contributed more than half of the publications, with Italy and Spain following closely behind.
