scholarly journals Research on Tourism Route Planning Based on Artificial Intelligence Technology

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Maobin Ding
Keyword(s):  
Artificial Intelligence ◽  
Continuous Optimization ◽  
Route Planning ◽  
Recognition System ◽  
Wireless Sensor ◽  
Sensor Technology ◽  
Face Recognition System ◽  
Route Design ◽  
Artificial Intelligence Technology ◽  
Transmission Energy Consumption

Study on designing reasonable travel routes with the least time cost and the highest experience index was conducted. An artificial intelligence-based wireless sensor travel route planning study is proposed. First, the improved TSP route planning model is built at the least time consumption and combines the normal distributed random number (ND) with the genetic algorithm (GA) and proposes the ND-GA algorithm, analyzes the overall structure, node structure, communication mode, and network coverage of the wireless sensor network, and gives a mathematical model of wireless transmission energy consumption. Using the proposed algorithm to solve the travel route and detailed itinerary, with time, the 10-year travel route design model based on multitarget dynamic optimization finally detailed analysis of the model results and sensitivity analysis results showing that the application of AI wireless sensor technology can also make the scenic work more efficient; for example, a face recognition system can improve the speed of ticket checking. Although the application of AI technology is widely used in tourism activities, there are some problems, which require the continuous optimization and innovation of AI wireless sensor technology by relevant practitioners, so that it can better serve tourists.

Innovation of enterprise financial management based on machine learning and artificial intelligence technology

2020 ◽  
pp. 1-12
Author(s):  
Cao Yubo
Keyword(s):  
Artificial Intelligence ◽  
Financial Management ◽  
Route Planning ◽  
Value Added ◽  
Production Quality ◽  
Operating Efficiency ◽  
Exploratory Research ◽  
Modern Enterprise ◽  
Artificial Intelligence Technology ◽  
Effective Development

With the development of economic globalization, the competition between companies is increasing and becoming a norm. As one of the main value-added tools, financial management has greatly improved its position in business management. Traditional financial management is difficult to keep up with the pace of modern company management, which to a large extent hinders the effective development of enterprises. Therefore, under the current macroeconomic background, the necessity of studying financial management innovation has become more urgent. In this context, seeking innovation is not only a problem for enterprises, but also an important strategic goal of economic development and the concept of national modern enterprise development. Many studies have been carried out in the field of technological innovation, and few have focused on innovation in financial management. Exploratory research on the factors that affect the choice of financial management mode and route planning is important both in reality and in theory. It can help enterprises to gain greater competitive advantage through innovative financial management and improve their operating efficiency and production quality. This paper is based on learning. A research on the innovation of enterprise financial management is carried out on machine and artificial intelligence technology.

scholarly journals IoT and AI Based Emotion Detection and Face Recognition System

2019 ◽  
Vol 8 (2S7) ◽  
pp. 418-422
Keyword(s):  
Artificial Intelligence ◽  
Detection System ◽  
Recognition System ◽  
Facial Emotion ◽  
Emotion Detection ◽  
Face Recognition System ◽  
Facial Recognition System ◽  
Almost All ◽  
Robotic Applications ◽  
Human Robotic Interaction

Human facial emotion detection is a prime goal in the current technical world. Robotic applications are being applied in almost all domains. To enable successful human-robotic interaction, emotion recognition is crucial. This project aims to develop and implement a novel, automatic emotion detection system and facial recognition system based on AI (Artificial Intelligence) and IoT (Internet of Things).

scholarly journals An Agricultural Monitoring System Based on Wireless Sensor and Depth Learning Algorithm

2017 ◽  
Vol 13 (12) ◽  
pp. 127 ◽  
Author(s):  
Liwei Geng ◽  
Tingting Dong
Keyword(s):  
Artificial Intelligence ◽  
Soil Moisture ◽  
Deep Learning ◽  
Learning Algorithm ◽  
Future Trend ◽  
Classification Model ◽  
Wireless Sensor ◽  
Sensor Technology ◽  
Agricultural Modernization ◽  
Deep Learning Algorithm

<span style="font-family: 'Times New Roman',serif; font-size: 10pt; mso-fareast-font-family: SimSun; mso-ansi-language: EN-GB; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;" lang="EN-GB">The rise and development of the Internet of Things (IoT) have given birth to the frontier technology of the agricultural IoT, which marks the future trend in agriculture and the IoT. The agricultural IoT can be combined with Zigbee, a short-range wireless network technology for monitoring systems, to solve the excessively large planting area and other defects in agricultural production. Meanwhile, the modernization of planting and harvesting has set the stage for deep learning. Unlike the artificial neural network, the deep learning is an important intelligent algorithm, capable of solving many real-world problems. Therefore, this paper probes into the problems of modern automatic agriculture. First, the routing allocation technology and transmission mode were optimized to solve the energy consumption problem. Second, the classification model based on deep learning algorithm was put forward according to the application of the Wireless Sensor Network (WSN) in continuous monitoring of soil temperature and humidity. Despite the lack of upper soil humidity sensor in agriculture, the model can still classify the soil moisture of the nodes, and derive the main soil moisture content. Finally, a solution was presented based on agricultural ZigBee WSN technology. In addition to cheap cost and low power consumption, the solution has the functions of reminding and recognition due to the adoption of artificial intelligence algorithm. Suffice it to say that the solution is a successful attempt to integrate artificial intelligence and sensor technology into agricultural modernization.</span>

scholarly journals Application of Virtual Reality Technology in Film and Television Animation Based on Artificial Intelligence Background

2022 ◽  
Vol 2022 ◽  
pp. 1-8
Author(s):  
Yanrong Bao
Keyword(s):  
Artificial Intelligence ◽  
Virtual Reality ◽  
Social Life ◽  
Quality Evaluation ◽  
Course Design ◽  
Television Program ◽  
Sensor Technology ◽  
Teaching Mode ◽  
Film And Television ◽  
Artificial Intelligence Technology

The application of artificial intelligence technology in the film and television field has profoundly changed the content and production methods of television programs and promoted the development and production of a new generation of artificial intelligence television. The popularization of artificial intelligence technology is conducive to improving the quality of television program content, innovating content categories, reducing television program production cost, and improving production efficiency. Due to the popularization and the use of virtual reality (VR) technology in scientific research and social life, the application of VR technology has been studied from the perspective of film and television animation (FTA) teaching, hoping to promote the development of FTA education. First, the existing dynamic environment modeling technology, real-time three-dimensional (3D) graphic generation technology, stereoscopic display, and sensor technology and other VR technologies are combined to carry out teaching design. In view of the current situation of the teaching process of FTA major, the research on these four aspects has been carried out. VR technology is used as an auxiliary teaching tool to complete the basic course teaching of FTA; the 3D animation course and VR technology are combined to improve the teaching effect of professional skill courses. Then, in the application effect, classroom satisfaction, comprehensive quality evaluation, and professional core curriculum effect are compared and analyzed. The results show that the students’ comprehensive quality evaluation in VR technology group is significantly improved, and the satisfaction of classroom atmosphere, teaching mode, and teaching facilities are 75%, 61%, and 81%, respectively. The students in this group can better integrate the new design method into the animation modeling and complete the course design task with high quality. Compared with the traditional teaching mode, the students’ satisfaction is higher and the harvest is greater. Therefore, the use of VR technology in FTA teaching can stimulate students’ interest in learning, improve learning efficiency, and promote the mastery of professional knowledge and skills. The application mode and effect analysis of the proposed VR technology provide a reference for the application of VR technology in FTA teaching.

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