Computer Science and Technology is an international, peer-reviewed open access journal dedicated to advancing research the field of computer science and technology. The journal provides a rapid publication process to ensure wide dissemination of high-quality articles to scientists, professionals, and interested individuals worldwide. Our goal is to serve as an efficient, reliable, and trusted platform for scholars and readers, publishing cutting-edge research in the field.
Abstract: Purpose: In recent years, vehicle accidents caused by forklift operations have been analyzed, mainly due to the presence of safety risks between people and vehicles during forklift operations. Firstly, the unsafe state of objects and the intrinsic safety of vehicles are the main reasons. Secondly, unsafe behavior of people is the root cause of forklift accidents. Based on the analysis of forklift accidents, forklift operations require personnel to cooperate in completing work tasks. When personnel work around the forklift, they are relatively close to the forklift, Personal injury caused by close proximity during emergency braking. In summary, in order to ensure the safety of themselves and surrounding personnel, enterprises use AI digital means to avoid security risks, and automatic monitoring systems supervise personnel operations. Conclusion: Combined with the application of digital AI, When personnel approach a moving forklift, the forklift recognizes a defense card sensing signal and forces the forklift to stop. The AI forklift collision prevention system, as a collision prevention solution, automatically monitors obstacles around the forklift through AI. When an object or person enters a specified distance (such as 5 meters, 10 meters, 15 meters), it will emit sound and visual alarms to notify the driver. By detecting the braking distance and reaching a dangerous distance, the system will automatically stop the forklift, determine its effective distance and speed, and prevent forklift accidents by controlling the distance.Abstract: Purpose: In recent years, vehicle accidents caused by forklift operations have been analyzed, mainly due to the presence of safety risks between people and vehicles during forklift operations. Firstly, the unsafe state of objects and the intrinsic safety of vehicles are the main reasons. Secondly, unsafe behavior of people is the root cause of fork...Learn More
Abstract: Crops play a vital role in the global food supply. Various environmental factors can cause crop diseases and insect pests, resulting in severe production losses. However, manual detection of crop diseases and insect pests is a time-consuming and error-prone process, which often fails to identify and prevent the spread of plant diseases in a timely and effective manner. To overcome these challenges, machine learning (ML) and deep learning (DL) technologies have been introduced in recent years to improve early identification and effective response to plant pests and diseases. In this article, the principles of convolutional neural network (CNN), recurrent neural network (RNN) and adversarial generative neural network (GAN) are explained, as well as the latest progress in the improvement and application of the three algorithms in plant disease detection and detection. By applying DL technology, efficient and accurate detection of pests and diseases can be achieved, thereby providing reliable support for agricultural production. It is hoped that this work will become a valuable resource for researchers studying plant pest and disease detection and provide guidance to further advance research and practice in this field. At the same time, some current challenges and issues that need to be solved are also discussed, such as data quality, target occlusion, model generalization ability, and adaptability in practical applications. Deep learning holds great promise in revolutionizing precision agriculture by providing efficient and accurate solutions for pest and disease management.Abstract: Crops play a vital role in the global food supply. Various environmental factors can cause crop diseases and insect pests, resulting in severe production losses. However, manual detection of crop diseases and insect pests is a time-consuming and error-prone process, which often fails to identify and prevent the spread of plant diseases in a timely ...Learn More
Abstract: Photoshop (PS) is a powerful image processing, editing software, which provides a rich variety of functions and tools. In scientific research work, PS can help researchers create excellent images and design works. This paper reviews the application of PS in image enhancement, data visualization, image typesetting and beautification, drawing scientific illustrations, etc. It shows that the use of PS can improve the visual effect and expression ability of images. With the improvement of algorithms and technologies, PS continues to introduce new functions, and the addition of artificial intelligence further improves the efficiency of image processing. However, when using PS, the accuracy and credibility of the image should be ensured, and the situation of excessive modification and distortion of the data should be avoided to maintain the rigor and reliability of academic research.Abstract: Photoshop (PS) is a powerful image processing, editing software, which provides a rich variety of functions and tools. In scientific research work, PS can help researchers create excellent images and design works. This paper reviews the application of PS in image enhancement, data visualization, image typesetting and beautification, drawing scienti...Learn More
Abstract: The deep integration of cloud computing, big data, Internet of Things and other advanced information technologies with the real economy has provided new driving forces for the development of the tobacco industry. Based on the digital transformation of tobacco companies in Chongqing tobacco industry, using advanced enterprise architecture theory combing wisdom of the supply chain business architecture, application architecture, data architecture and technical architecture, built with modern information technology depth fusion "Internet + tobacco" the wisdom of overall architecture of supply chain system, Effectively supported the transformation and upgrading of Chongqing tobacco production, operation and management mode, and explored experience for industry tobacco information constructio.Abstract: The deep integration of cloud computing, big data, Internet of Things and other advanced information technologies with the real economy has provided new driving forces for the development of the tobacco industry. Based on the digital transformation of tobacco companies in Chongqing tobacco industry, using advanced enterprise architecture theory com...Learn More
