Design of Intelligent Parking Control System

In this paper, we are introducing an intelligent valet parking management system that guides the cars to autonomously park within a parking lot. The IPLMS for Intelligent Parking Lot Management System, consists of two modules: 1) a model car with a set of micro-controllers and sensors which can scan the environment for suitable parking spot and avoid collision to obstacles, and a Parking Lot Management System (IPLMS) which screens the parking spaces within the parking lot and offers guidelines to the car. The model car has the capability to autonomously maneuver within the parking lot using a fuzzy logic algorithm, and execute parking in the spot determined by the IPLMS, using a parking algorithm. The car receives the instructions from the IPLMS through a wireless communication link. The IPLMS has the flexibility to be adopted by any parking management system, and can potentially save the clients time to look for a parking spot, and/or to stroll from an inaccessible parking space. Moreover, the IPLMS can decrease the financial burden from the parking lot management by offering an easy-to-install system for self-guided valet parking.

With the continuous acceleration of China’s modernization process, the number of private cars has increased sharply, and the traffic flow of various parking lots is increasing. The parking management of motor vehicles has become a problem of great concern to the society. In view of the shortage of parking spaces, the long time of manual fee collection, low efficiency and the inability to quickly find the reserved parking spaces in urban parking lots in China. At the same time, in large shopping malls, there is a common phenomenon that the parking range is single or the parking space is difficult to find, which makes the vehicles stay in the parking lot in a short time and cause congestion. For parking lot managers, it is difficult to timely regulate the parking lot through the existing traffic flow information of the parking lot, and it is impossible to determine the number of vacant parking spaces in the parking lot in real time. At the same time, The existing management system has problems such as low efficiency, poor scalability and less service content, which is difficult to solve in the face of emerging problems. Therefore, based on the above problems, this project designs an urban intelligent parking cloud platform based on wechat applet, which can distinguish users and administrators, select spare parking spaces, route navigation and time payment of parking fees for parking users, and the parking lot managers can understand the spare parking spaces and vehicle payment of the parking lot they manage, At the same time, it can detect the traffic flow through the traffic flow in a period of time and give early warning to prevent the accumulation of vehicles in the parking lot. Users and administrators can obtain more convenient and real-time information only through mobile phones, which solves the difficult problem of parking management in intelligent parking lot.

With the continuous development of economy and the steady improvement of people’s living standards, a large number of cars enter families. In many cities, there are not only traffic congestion, but also a series of problems such as tight parking spaces and difficult parking. In large shopping malls, there is a common phenomenon that the parking range is single or the parking space is difficult to find, resulting in congestion caused by vehicles staying in the parking lot in a short time. At the same time, the existing management system has some problems, such as low efficiency, poor expansibility and few service contents, It is difficult to solve new problems. Aiming at the existing problems of difficult parking and difficult parking management, this project studies a set of intelligent parking management system based on embedded sensing technology and front terminal control technology, which provides a series of solutions to solve the above problems. Its technology and scheme mainly include the following points: Design the embedded sensors for testing, and the information of vehicles entering the parking lot shall be statistically summarized and communicated for display, so as to facilitate the management of managers and the collection of relevant fees in the later stage; Storage and replacement of information and analysis of information through neural network can guide various information acording to the needs of users; Control the whole through the front and rear clients, so that users can easily park and managers can facilitate management

In the current context of rapid development of digital economy, enterprise financial management is facing increasingly complex internal and external environments, and the traditional financial management model has been difficult to meet the needs of intelligence, refinement and efficiency. This paper analyzes the status quo and development trend of enterprise financial informatization construction, and clarifies the important role of informatization in improving the efficiency of financial management; from the three dimensions of data-driven decision-making support, financial process optimization based on artificial intelligence, and the deep integration of informatization and intelligence, it discusses the key elements of the optimization of the intelligent financial management system and the path of achieving it; finally, it evaluates the effect of optimized intelligent financial management system through a typical case, and verifies that it can meet the demand of intelligent financial management and improve its efficiency. Finally, the optimized intelligent financial management system is evaluated through typical cases to verify its significant role in improving management efficiency, reducing operating costs and enhancing decision-making science. The study shows that promoting the organic combination of informationization construction and intelligent management can not only improve the overall level of enterprise financial management, but also provide an important guarantee for enterprises to achieve sustainable development.

Due to advancements in the automobile industry’s technology, the usage of private vehicles, particularly cars, by civilians has grown widespread in this period of globalization. Moreover, the country’s business and trade procedures are improving year after year. This scenario has resulted in significant traffic congestion, air pollution, and inevitable accidents, especially on the Shah Alam-Puchong Highway. As a result, the government proposed the Intelligent Traffic Management System (ITMS) utilising the Internet of Things (IoT) as an alternative to extending the road system, which may be expensive. This method assists authorities in tracking, monitoring, processing, and managing traffic more effectively, therefore reducing traffic congestion concerns. This study report presents a survey on the effectiveness of the ITMS installation on Federal Route 3214 (Shah Alam-Puchong Highway) in reducing traffic congestion. The information gathered is evaluated using Microsoft Excel and the Statistical Package for Social Sciences (SPSS) software. The factors that contribute to traffic congestion and the mean impact of the traffic congestion on road users, society, and the economy of the Shah Alam-Puchong Highway are determined in this study. Furthermore, this study also evaluates the probabilities of IoT hardware utilisation in ITMS at Shah Alam-Puchong Highway.

This research paper introduces an intelligent parking management system aimed at optimizing parking space utilization. The system's main objective is to first keep a track of all the incoming and leaving vehicles within the parking area, while also updating the track of all the occupied and available parking slots at the same time, effectively managing the traffic. A camera installed at the entry gate will recognise the license plate and will be segmented and processed through optical character recognition achieving the recognition accuracy of 95.8% The vehicle number is then stored in a database where entry and exit times are also stored. The extracted license number will then be linked to an available parking slot that would be closest to the said vehicle, calculated through algorithms such as Dijkstra. Finally, the automatic credit system will calculate the cost through entering and leaving time, and the amount will automatically be deducted from the app's wallet. This integrated approach aims to significantly improve parking efficiency compared to manual systems. The paper will discuss the system's design, implementation, and potential performance outcomes for vehicle detection, license plate recognition, and parking slot availability. . KEYWORDS :Computer vision, Character recognition, YOLO, Vehicle detection, OpenCV

A decision support system for available parking slots on the roadsides in urban areas

With the development of economy, people living standard rise, the necessary traffic tools in the private cars as showing a strong growth trend, the resulting traffic problems become more and more serious, mainly urban area parking management technology still is not high, generally lead to the parking management difficult problem is also growing. So in order to improve the management of the parking lot, improve the efficiency of parking, parking management system, the author of this paper in the entrance guard recognition and parking monitoring problems put forward a design scheme of intelligent parking management system, the scheme comprehensive utilization of the Internet of things (RFID) and Zigbee wireless sensor technology, the system has simple structure, low cost, and expected results have been achieved in the lab, can make the car into the designated parking space.

With the growing economic level and the continuous development of information network technology, as well as the continuous improvement of people's living standards, transportation demand gradually increased. Due to the current transportation system in China has been facing the problem of traffic congestion and inefficient, and cause serious pollution and energy shortages, and intelligent traffic management system is the key to solve these problems, the modern information network technology and transportation combined. This article gives a brief introduction to the development and study of the status quo of China's intelligent transportation management system, intelligent traffic management system architecture of CORBA and CORBA, and described the implementation of an intelligent traffic management system based on CORBA.

Implementing six sigma management to shorten the time of taking medicine from intelligent medicine cabinet in inpatient ward.

Agricultural parks consist of many functional parts for crops cultivation, including irrigation systems, environmental monitoring equipment, and other important infrastructure. In order to prevent and respond to various technical failures, accurate and real-time monitoring needs to be carried out. This article is based on big data and artificial intelligent technology, and conducted in-depth mining on it. It adopts an intelligent fault diagnosis and management system based on a combination of machine learning and big data analysis. By combining discrete data with intelligent algorithms, the fault diagnosis process is optimized to improve the real-time and accuracy of the system. By automatically collecting and analyzing various information during the production process, scientific decision-making basis is provided for enterprise management to reduce human errors and improve operational efficiency. This article also optimizes and improves existing user side fault diagnosis and intelligent management technologies. Our results indicate that the fault prediction accuracy achieved in this article is significantly improved. The research results can provide theoretical basis and practical guidance for the transformation, upgrading, and development model innovation of agricultural parks in China.

Purpose This study introduces advancing knowledge in the field of quality management, positioning it as an evolution of traditional quality management practices that is specifically tailored to meet the demands of today's smart systems and the ongoing digital transformation. To further contextualize Quality 6.0 (Q6.0), the study explores its integration within the broader framework of Industry 6.0 (I6.0), an emerging paradigm that transcends the automation and digitalization focus of its predecessors, Industry 4.0 (I4.0) and Industry 5.0 (I5.0). Design/methodology/approach The study applies the Q6.0 framework to the selection of Intelligent Traffic Management Systems (ITMS), a critical component of smart city initiatives aimed at optimizing traffic flow, reducing congestion and enhancing overall urban mobility. Five ITMS alternatives are evaluated and ranked using a Multi-Criteria Decision-Making (MCDM) approach. Specifically, the Intuitionistic Fuzzy Step-wise Weight Assessment Ratio Analysis (IF-SWARA) method is employed for criteria weight determination, and the Intuitionistic Fuzzy COmbinative Distance-based ASsessment (IF-CODAS) method is used for ranking the alternatives. Findings The findings highlight the importance of integrating advanced quality management practices into the development and deployment of intelligent systems, particularly in urban infrastructure. Practical implications I6.0 emphasizes human-centered, sustainable and resilient systems that leverage advanced technologies such as artificial intelligence, robotics and the Internet of Things (IoT) to create smart, autonomous and adaptive ecosystems. Q6.0 aligns with this vision by incorporating multiple key criteria that reflect the evolving demands of modern quality management. Originality/value By introducing Q6.0 to the academic literature, this study provides a robust framework for future research and practical applications in the era of I4.0 and beyond.

We developed a novel computer program, the Intelligent Sepsis Management System, based on Sepsis-3 definitions and 2016 Surviving Sepsis Campaign guidelines and performed a quasi-experimental pre-post study to assess its effect on compliance with the Surviving Sepsis Campaign guidelines and outcomes in patients with sepsis and septic shock. During the pre-period, patients were managed with usual care. During the post-period, patients were managed using the Intelligent Sepsis Management System upon arrival at the emergency department. A total of 631 patients were enrolled (pre-period, 316; post-period, 315). The overall compliance with the Surviving Sepsis Campaign guidelines’ bundle improved (pre-period 10.8% vs. post-period 54.6%; p < 0.001). The post-period showed significantly lower 30-day mortality than the pre-period (pre-period 37.3% vs. post-period 29.5%; p = 0.037), but was not a protective factor for 30-day mortality, with an adjusted hazard ratio (95% confidence interval) of 0.75 (0.55–1.04) (p = 0.151). The associated factors for 30-day mortality were age, sequential organ failure assessment score, overall compliance, and lactate levels. The 30-day mortality was significantly lower in the compliance group than in the non-compliance group (27.2% vs. 36.5%; p = 0.002). After implementation of the Intelligent Sepsis Management System, overall compliance with the Surviving Sepsis Campaign guidelines improved and was associated with reduced 30-day mortality. However, we could not verify the causal effect of this system on 30-day mortality.

Aquaculture intelligent monitoring and management system (AIMAMS) is a web information system covering businesses, home users, and management of aquaculture information, which have many users. The information security and safety equipment of different users is an important issue that we have to consider. Role-based access control introduces the roles concept into user and access rights, and its basic feature are that divide roles depending on the security policy, assign operating license for each role, and assign roles to each user. The user can access the specified object based on their respective roles. In order to achieve different user needs for security, aquaculture access control model based on group/role is developed which is based on analysis of the role-based access control model. Aquaculture intelligent monitoring and management system consists of system administrators, business users, family farming users and technicians, each category contains a number of other users who have different permissions. For such a complex distribution of competences, the user groups are introduced here on the basis of idea of role-based access control model. Users are divided into four groups which correspond to four categories of users, each group is given the largest collection of operational authority, and the users of each group are assigned different roles, which have all or part of privileges of the current group. Technicians can access business and family farming user’s information, but cannot view some sensitive data, such as price, therefore, technicians group is controlled by field-level permissions of data tables, the sensitive fields of business and family farming user data tables is shielded. This model can effectively reduce the overhead of rights management, and can improve system’s scalability. Along with the needs of business development, the system can easily add new user groups and assign permissions and roles for them. This aquaculture access model is universal, it is not only suitable for aquaculture intelligent monitoring and management system but also has reference value for other systems.

With the rapid development of Internet of Things (IoT) technology, IoT technology has become popular in many fields and has effectively improved the work efficiency in practical applications. In the current operation of the parking lot, the gradual increase of IoT devices has caused a certain degree of management difficulties, based on this current situation, this paper designs a parking lot management system with IoT device management function, which has three subsystems, corresponding to IoT The management system has three sub-systems, which correspond to IOT device information management, vehicle information management and management personnel information management. This paper analyzes the current situation and development trend of the parking lot, analyzes the requirement analysis and use case diagram modeling based on UML technology, then carries out the system architecture design and data structure analysis, and finally does the process design for the core functions of the parking lot.