Intelligent Parking Guidance System based on Improved Bee Colony Algorithm

To overcome the shortcomings of the K-means clustering algorithm, an improved artificial bee colony algorithm is proposed. By adding a dynamic adjustment factor to the honey source search strategy, the algorithm can automatically adjust the search range in different evolutionary periods, enhancing the algorithm's global search ability and local exploitation ability. The central solution idea, which contains more optimal solution information, is introduced to improve the swarm's search efficiency and accelerate the algorithm's convergence speed. The improved bee colony algorithm is used to optimise the K-means algorithm to improve the performance of the clustering effect. The simulation results show that the optimised K-means algorithm has strong stability, and the clustering effect has been significantly improved.

An improved bee colony algorithm IBCA is proposed, which is a global stochastic searching optimisation algorithm possessing properties of both cultural algorithm and artificial bee colony ABC algorithm. Digital filter design involves multi-parameter optimisation, on which the existing optimisation algorithms don't work efficiently. This paper focuses on introducing IBCA and its performance in designing FIR digital filter and IIR digital filter. After presenting the basic knowledge about IBCA, we show how to implement it in FIR digital filter and IIR digital filter design with some adaptive measures to enhance its performance. It has been demonstrated by simulation results that the proposed IBCA outperforms particle swarm optimisation PSO, quantum particle swarm optimisation QPSO and ABC algorithms in finding out the global optima of the problem more rapidly.

Spatially explicit modeling of parking search as a tool for urban parking facilities and policy assessment

Image segmentation means that the image is divided into specific and unique regions. There are many existing image segmentation methods, and the threshold-based segmentation method is widely applied because of its easy implementation, simplicity and high efficiency. In this paper, artificial bee colony algorithm is applied to image threshold segmentation. Kapur entropy is used as a fitness function, the artificial bee colony algorithm is improved through the adaptive scaling factor. The search area is enlarged through the large-scale factor, the neighborhood search scope is reduced through the small-scale factor and the search efficiency is enhanced. Finally, by comparing the PSNR values of the image, the algorithm has a good segmentation effect and good convergence performance.

A Multi-objective Optimization Model for Joint Construction Parameters of Prefabricated Buildings Based on Improved Bee Colony Algorithm

Along with the historical process of the industrial revolution, the automobile has undoubtedly made life more convenient. But at the same time, various problems also come along: Traffic jams are becoming more and more serious, and problems such as parking are becoming urgent problems. This design uses STC89C52 microcontroller, through the infrared sensor module to detect the information of the garage, then the nRF24L01 wireless module is used to carry out the wireless transmission of master and slave information. Finally, the LCD1602 LCD screen is used to establish the human-computer interaction page, and an intelligent parking space management system is designed. The owners can easily check the parking lot to understand the flow of the parking lot through the system, and judge whether to enter the parking lot, saving time. At the same time, it is easier to integrate with other intelligent systems, which provides a foundation for more advanced management and is the premise for making the parking lot a highly intelligent product in the future.

This book consists of 35 chapters presenting different theoretical and practical aspects of Intelligent Information and Database Systems. Nowadays both Intelligent and Database Systems are applied in most of the areas of human activities which necessitates further research in these areas. In this book various interesting issues related to the intelligent information models and methods as well as their advanced applications, database systems applications, data models and their analysis and digital multimedia methods and applications are presented and discussed both from the practical and theoretical points of view. The book is organized in four parts devoted to intelligent systems models and methods, intelligent systems advanced applications, database systems methods and applications and multimedia systems methods and applications. The book will be interesting forpractitioners and researchers, especially graduate and PhD students of information technology and computer science, as well more experienced academics and specialists interested in developing and verification of intelligent information, database and multimedia systems models, methods and applications. The readers of this volume are enabled to find many inspiring ideas and motivating practical examples that will help them in the current and future work.

Mountain biking in peri-urban parks: Social factors influencing perceptions of conflicts in three popular National Parks in Australia

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.

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

With the development of parking lots towards large-scale and three-dimensional, intelligence has become an inevitable trend. In this paper, an intelligent parking lots detection system based on ZigBee transmission protocol is proposed. RSSI value is used to detect whether the parking lots are occupied. The system obtains parking information via ZigBee ad hoc network, data procession and transmission via parking detection gateway and users can obtain parking information via center management system at last.

With the development of the new generation communication system in China, the application of intelligent transportation system is more extensive, which brings higher demands for vehicle flow detection and monitoring. Traditional traffic flow detection modes often cannot meet the high statistical accuracy requirement and high-speed detection simultaneously. Therefore, an improved Inception module is integrated into the single shot multi box detector algorithm. An intelligent vehicle flow detection model is constructed based on the improved single shot multi box detector algorithm. According to the findings, the convergence speed of the improved algorithm was the fastest. When the test sample was the entire test set, the accuracy and precision values of the improved method were 93.6% and 96.0%, respectively, which were higher than all comparison target detection algorithms. The experimental results of traffic flow statistics showed that the model had the highest statistical accuracy, which converged during the training phase. During the testing phase, except for manual statistics, all methods had the lowest statistical accuracy on motorcycles. The average accuracy and precision of the designed model for various types of images were 96.9% and 96.8%, respectively. The calculation speed of this intelligent model was not significantly improved compared to the other two intelligent models, but it was significantly higher than manual monitoring methods. Two experimental data demonstrate that the intelligent vehicle flow detection model designed in this study has higher detection accuracy. The calculation speed has no significant difference compared with the traditional method, which is helpful to the traffic flow management in intelligent transportation system.

Increased use of cars that are not balanced with the provision of adequate parking areas and many drivers who park in any place. The existing parking system only utilizes the parking area and the parking attendant who controls it. Motorists also have to find a place that is free of parking officers or drivers do not pay attention to the parking area, the vehicle owner will look for must get out if you do not get a parking space. To overcome this, make a parking system by using a microcontroller system that facilitates vehicle users to understand the number and arrange an empty parking space. The design of this parking system discusses the available parking system which will be notified via LCD (Liquid Crystal Display) and LED (Light Emitting Diode) at the entrance of the parking lot, and also so that it can be used for the total vehicles in the parking lot with LED indicators ( Light Emitting Diode). This design uses the Arduino Nano as a processor to process data. The servo that translates the bar will be driven. When the parking lot is full, the LCD (Liquid Crystal Display) gives information that there is no vacant land, so the parking user goes up to the next floor. From the Arduino test results, Nano can adjust the circuit well, and Ultrasonic sensors can connect vehicles in each parking area, and the servo bars can be opened and closed again.

Chapter 3 - Super-machines or sub-humans: Mental models and trust in intelligent autonomous systems

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.