Advances in Intelligent Systems and Computing 1303 Mohammed Atiquzzaman Neil Yen Zheng Xu Editors Big Data Analytics for Cyber-Physical System in Smart City BDCPS 2020, 28–29 December 2020, Shanghai, China Advances in Intelligent Systems and Computing Volume 1303 Series Editor Janusz Kacprzyk, Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland Advisory Editors Nikhil R Pal, Indian Statistical Institute, Kolkata, India Rafael Bello Perez, Faculty of Mathematics, Physics and Computing, Universidad Central de Las Villas, Santa Clara, Cuba Emilio S Corchado, University of Salamanca, Salamanca, Spain Hani Hagras, School of Computer Science and Electronic Engineering, University of Essex, Colchester, UK László T Kóczy, Department of Automation, Széchenyi István University, Gyor, Hungary Vladik Kreinovich, Department of Computer Science, University of Texas at El Paso, El Paso, TX, USA Chin-Teng Lin, Department of Electrical Engineering, National Chiao Tung University, Hsinchu, Taiwan Jie Lu, Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW, Australia Patricia Melin, Graduate Program of Computer Science, Tijuana Institute of Technology, Tijuana, Mexico Nadia Nedjah, Department of Electronics Engineering, University of Rio de Janeiro, Rio de Janeiro, Brazil Ngoc Thanh Nguyen , Faculty of Computer Science and Management, Wrocław University of Technology, Wrocław, Poland Jun Wang, Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong The series “Advances in Intelligent Systems and Computing” contains publications on theory, applications, and design methods of Intelligent Systems and Intelligent Computing Virtually all disciplines such as engineering, natural sciences, computer and information science, ICT, economics, business, e-commerce, environment, healthcare, life science are covered The list of topics spans all the areas of modern intelligent systems and computing such as: computational intelligence, soft computing including neural networks, fuzzy systems, evolutionary computing and the fusion of these paradigms, social intelligence, ambient intelligence, computational neuroscience, artificial life, virtual worlds and society, cognitive science and systems, Perception and Vision, DNA and immune based systems, self-organizing and adaptive systems, e-Learning and teaching, human-centered and human-centric computing, recommender systems, intelligent control, robotics and mechatronics including human-machine teaming, knowledge-based paradigms, learning paradigms, machine ethics, intelligent data analysis, knowledge management, intelligent agents, intelligent decision making and support, intelligent network security, trust management, interactive entertainment, Web intelligence and multimedia The publications within “Advances in Intelligent Systems and Computing” are primarily proceedings of important conferences, symposia and congresses They cover significant recent developments in the field, both of a foundational and applicable character An important characteristic feature of the series is the short publication time and world-wide distribution This permits a rapid and broad dissemination of research results Indexed by SCOPUS, DBLP, EI Compendex, INSPEC, WTI Frankfurt eG, zbMATH, Japanese Science and Technology Agency (JST), SCImago All books published in the series are submitted for consideration in Web of Science More information about this series at http://www.springer.com/series/11156 Mohammed Atiquzzaman Neil Yen Zheng Xu • • Editors Big Data Analytics for Cyber-Physical System in Smart City BDCPS 2020, 28–29 December 2020, Shanghai, China 123 Editors Mohammed Atiquzzaman School of Computer Science University of Oklahoma Norman, OK, USA Neil Yen University of Aizu Fukushima, Japan Zheng Xu Shanghai University of Medicine and Health Sciences Shanghai, China ISSN 2194-5357 ISSN 2194-5365 (electronic) Advances in Intelligent Systems and Computing ISBN 978-981-33-4573-7 ISBN 978-981-33-4572-0 (eBook) https://doi.org/10.1007/978-981-33-4572-0 © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2021 This work is subject to copyright All rights are solely and exclusively licensed by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed The use of general descriptive names, registered names, trademarks, service marks, etc in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations This Springer imprint is published by the registered company Springer Nature Singapore Pte Ltd The registered company address is: 152 Beach Road, #21-01/04 Gateway East, Singapore 189721, Singapore Foreword With the rapid development of big data and current popular information technology, the problems include how to efficiently use systems to generate all the different kinds of new network intelligence and how to dynamically collect urban information In this context, Internet-of-Things and powerful computers can simulate urban operations while operating with reasonable safety regulations However, achieving sustainable development for a new urban generation currently requires major break-throughs to solve a series of practical problems facing cities A smart city involves wide use of information technology for multidimensional aggregation The development of smart cities is a new concept Using Internet of Things technology on the Internet, networking, and other advanced technology, all types of cities will use intelligent sensor placement to create object-linked information integration Then, using intelligent analysis to integrate the collected information along with the Internet and other networking, the system can provide analyses that meet the demand for intelligent communications and decision support This concept represents the way smart cities will think Cyber-Physical System (CPS) as a multidimensional and complex system is a comprehensive calculation, network, and physical environment Through the combination of computing technology, communication technology, and control technology, the close integration of the information world and the physical world is realized IoT is not only closely related to people’s life and social development, but also has a wide application in military affairs, including aerospace, military reconnaissance, intelligence grid system, intelligent transportation, intelligent medical, environmental monitoring, and industrial control Intelligent medical system as a typical application of IoT will be used as a node of medical equipment to provide real-time, safe, and reliable medical services for people in wired or wireless way In the intelligent transportation system, road, bridge, intersection, traffic signal, and other key information will be monitored in real time The vast amount of information is analyzed, released, and calculated by the system, so that the road vehicles can share road information in real time Personnel of road management can observe and monitor the real-time situation of the key sections in the system, and even release the information to guide the vehicle so as to improve the v vi Foreword existing urban traffic conditions The Internet of Things, which has been widely used in the industry, is a simple application of IoT It can realize the function of object identification, positioning, and monitoring through the access to the network BDCPS 2020 which is held at December 28, 2020, Shanghai, China, is dedicated to address the challenges in the areas of CPS, thereby presenting a consolidated view to the interested researchers in the related fields The conference looks for significant contributions on CPS in theoretical and practical aspects Each paper was reviewed by at least two independent experts The conference would not have been a reality without the contributions of the authors We sincerely thank all the authors for their valuable contributions We would like to express our appreciation to all members of the Program Committee for their valuable efforts in the review process that helped us to guarantee the highest quality of the selected papers for the conference We would like to express our thanks to our distinguished keynote speakers, Professor Mohammed Atiquzzaman, University of Oklahoma, USA We would also like to acknowledge the General Chairs, Publication Chairs, Organizing Chairs, Program Committee Members, and all volunteers Our special thanks are due also to the editors of Springer book series “Advances in Intelligent Systems and Computing” Our special thanks are due also to the editors of Springer book series “Advances in Intelligent Systems and Computing”, NS Pandian, Dr Ramesh Nath Premnath, and Gowrishankar Ayyasamy, for their assistance throughout the publication process Organization General Chairs Shaorong Sun University of Shanghai for Science and Technology, China Program Committee Chairs Mohammed Atiquzzaman Zheng Xu Neil Yen University of Oklahoma, USA Shanghai University, China University of Aizu, Japan Publication Chairs Deepak Kumar Jain Ranran Liu Xinzhi Wang Chongqing University of Posts and Telecommunications, China The University of Manchester Shanghai University, China Publicity Chairs Junyu Xuan Vijayan Sugumaran Yu-Wei Chan University of Technology Sydney, Australia Oakland University, USA Providence University, Taiwan, China Local Organizing Chairs Jinghua Zhao Yan Sun University of Shanghai for Science and Technology, China Shanghai University, China vii viii Organization Program Committee Members William Bradley Glisson George Grispos Abdullah Azfar Aniello Castiglione Wei Wang Neil Yen Meng Yu Shunxiang Zhang Guangli Zhu Tao Liao Xiaobo Yin Xiangfeng Luo Xiao Wei Huan Du Zhiguo Yan Rick Church Tom Cova Susan Cutter Zhiming Ding Yong Ge T V Geetha Danhuai Guo Jianping Fang Jianhui Li Yi Liu Kuien Liu Feng Lu Ricardo J Soares Magalhaes D Manjula Alan Murray S Murugan Yasuhide Okuyama S Padmavathi Latha Parameswaran S Suresh Wei Xu Chaowei Phil Yang Enwu Yin University of South Alabama, USA University of Limerick, Ireland KPMG Sydney, Australia Università di Salerno, Italy The University of Texas at San Antonio, USA University of Aizu, Japan The University of Texas at San Antonio, USA Anhui Univ of Sci & Tech., China Anhui Univ of Sci & Tech., China Anhui Univ of Sci & Tech., China Anhui Univ of Sci & Tech., China Shanghai Univ., China Shanghai Univ., China Shanghai Univ., China Fudan University, China UC Santa Barbara, USA University of Utah, USA University of South Carolina, USA Beijing University of Technology, China University of North Carolina at Charlotte, USA Anna University, India Computer Network Information Center, Chinese Academy of Sciences, China University of North Carolina at Charlotte, USA Computer Network Information Center, Chinese Academy of Sciences, China Tsinghua University, China Pivotal Inc, USA Institute of Geographic Science and Natural Resources Research, Chinese Academy of Sciences, China University of Queensland, Australia Anna University, India Drexel University, USA Sathyabama Institute of Science and Technology, India University of Kitakyushu, Japan Amrita University, India Amrita University, India SRM University, India Renmin University of China George Mason University, USA China CDC, USA Organization Hengshu Zhu Morshed Chowdhury Min Hu Gang Luo Juan Chen Qigang Liu ix Baidu Inc., China Deakin University, Australia Shanghai University, China Shanghai University, China Shanghai University, China Shanghai University, China Hydraulic Driving System of Solar Collector 1753 Fig Schematic diagram of the collector hydraulic drive system Maximum volume of rod hÀ cavity: Á À 40 Á2 i 860:2 2 75 À 1000 Total volume (total oil V2 ẳ pR r ịL ẳ p 1000 1000 ¼ 0:01m consumption from −30° to 210° once completed): V ẳ V1 ỵ V2 ẳ 0:02523m3 ẳ 25:23L The required time (maximum stroke) for the maximum range of fast operation is 15 Flow rate: Q = V/t = 2523/ 15 = 1.682 L/min = 1682 mL/min The minimum output force of rodless cavity: F1 = P Â S = 14 Â 0.0177 Â 000 000 = 247275 N The minimum output force of the rod cavity: F2 = P Â S = 14 Â 0.0126 Â 000 000 = 176939 N 3) Control block The control block assembly consists of a three-position four-way solenoid valve and balance valve Concentrator According to the optical principle, the concentrator can be divided into a refraction concentrator and a reflection concentrator In concentrating photovoltaic technology, the Fresnel lens is the main refractive lens, which has the characteristics of lightweight and thin thickness For the concentrating system using point focused Fresnel lens, the 1754 Y Wang focusing multiple is usually more than 500 times Using a high-efficiency multijunction gallium arsenide battery, the module efficiency can reach more than 25% The reflective concentrator is mainly a mirror reflector, which is made into long strips or disks according to the different concentrating times With the increase of the concentration multiple, various kinds of new concentrating systems are constantly introduced This kind of concentrating system usually adds a secondary concentrator under the concentrator, to achieve the purpose of making the spectrum more uniform, reducing the light loss, and reducing the distance between the concentrator and the battery Prospect of Solar Thermal Power Generation Technology Generally speaking, solar thermal power generation is in the initial stage of industrialization, and its high power generation cost restricts the large-scale application of this technology First of all, the low energy flow density of solar energy requires a large number of light-reflecting devices and heat receiving devices, which account for about half of the investment in power plants The power generation efficiency of the solar thermal power generation system is low, and the net power generation efficiency is less than 15% The lower power generation efficiency needs more concentrating heat collection devices, which increases the investment cost Finally, solar thermal power generation can not run for 24 h, so heat storage devices should be added to increase the cost Therefore, solar thermal power generation needs policy support The government should promote and approve normative engineering projects in some areas with good solar radiation, and give preferential policies to relevant enterprises; to reduce production costs, it can encourage the development of supporting industries Conclusions Through the above analysis, we have a certain understanding of the collector hydraulic drive system, which is of great significance for the subsequent domestic research of the collector hydraulic drive system Concentrating solar thermal power generation is a new type of power generation Solar radiation is gathered at a point or a line through a reflector and a large amount of heat energy is obtained Then the heat energy is converted into high temperature and high-pressure steam by conversion, and then the steam turbine is driven to generate electricity Compared with photovoltaic power generation, solar thermal power generation technology is more energy-saving and environmental protection and uses a physical way for photoelectric conversion At present, concentrating solar thermal power generation is mainly divided into trough type, tower type, and dish type Due to the immaturity of solar thermal power generation technology, there is still great potential for further optimization of power plant design and reduction of power generation cost Hydraulic Driving System of Solar Collector 1755 References Junyi, W., Xue, X.R.: Solar Energy Utilization Technology Jindun Publishing House, Beijing (2008) Xin, C., Haitao, F.: Development status of solar thermal power generation technology Energy Environ (1), 36–39 (2012) Yongping, Y., Yong, Z., Rongrong, Z.: Tower solar-assisted coal-fired power generation system solar energy contribution J North China Electr Power Univ 43(3), 56–64 (2012) Jingxiao, H., Yongping, Y., Hongjuan, H.: Progress in sensible heat storage technology of solar thermal power generation Renew Energy 32(7), 901–905 (2014) Design and Simulation of a Welding Wire Feeding Control System Based on Genetic Algorithm Zeyin Wang(&) Gansu Mechanical and Electrical Vocational College, Tianshui 741001, Gansu, China westwzy@163.com Abstract According to the requirement of uniform and stable wire feeding in the welding process, speed and current double closed-loop speed control system is designed The genetic algorithm is selected as the control strategy and combined with the traditional PID control to realize the on-line tuning of PID control parameters The simulation results show that the PID tuning based on the genetic algorithm is better than the conventional PID algorithm, and the wire feeding control system meets the requirements of constant speed Keywords: Double closed-loop Á Genetic algorithm Á PID parameter tuning Introduction The wire feeding system is an important part of welding equipment The accuracy and stability of wire feeding are directly related to the stability and quality of the welding process At present, most of the welding wire feeding systems adopt single closed-loop control with negative voltage feedback or negative voltage feedback plus positive current feedback, which has the disadvantages of unstable wire feeding and poor dynamic characteristics To solve this problem, a double closed-loop speed control system based on genetic algorithm PID self-tuning control is designed The double closed-loop is composed of a speed regulator and current regulator, which are connected in series This design can meet the requirements of the welding wire feeding system for fast start-up speed and strong load capacity and can reduce or eliminate the phenomenon of arc length jitter caused by unstable wire feeding speed PID control has the advantages of simple structure, good stability, high reliability, easy engineering implementation, and strong robustness It is the most widely used control strategy in the wire feeding control system But the control effect depends on the parameter setting and optimization The PID parameter tuning control strategy based on a genetic algorithm [3] is adopted to realize optimal control [1] © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2021 M Atiquzzaman et al (Eds.): BDCPS 2020, AISC 1303, pp 1756–1760, 2021 https://doi.org/10.1007/978-981-33-4572-0_261 Design and Simulation of a Welding Wire Feeding Control System 1757 Design of a Wire Feeding Control System Dsptmsl2812 microprocessor is selected as the control core, an excellent micromodule is used as a PWM driving circuit, Maxon DC motor is wire feeding motor, photoelectric code disk is selected as speed detection element and MD 18200 is used as armature current detection element The wire feeding control system is shown in Fig Fig Structure box of welding wire feeding system The microcontroller dsptmsl2812 outputs PWM pulse, which is used as accent driver input after photoelectric isolation The internal driving circuit adopts H-bridge reversible PWM drive, and the output voltage is directly supplied to the armature to drive the wire feeding motor to run at a certain speed Since the output speed of the DC motor is directly proportional to its driving voltage, the duty cycle of the PWM output of the microcontroller is adjusted by CCS2 software programming of the upper computer, and then the output voltage of the driver is changed to achieve the purpose of speed regulation [2] Most wire feeding control systems adopt open-loop or single closed-loop control, which have poor speed stability and anti-interference ability Therefore, the speed and current double closed-loop speed control system is adopted in this system Through the feedback of the detecting element to the microcontroller, through the calculation of a certain intelligent control algorithm [4], a PWM pulse with a certain duty cycle is obtained to compensate for the speed change caused by voltage or resistance, to ensure the wire feeding motor to obtain a stable speed PID Tuning Principle Based on Genetic Algorithm Genetic algorithms (GA) is a parallel global optimization algorithm which simulates natural evolution and biological genetic mechanism It includes three basic elements: parameter coding, fitness function, and genetic operation Parameter Coding GA does not operate the parameters to be optimized, but the genetic operation on the coding of parameters Therefore, the parameters to be optimized should be coded into 1758 Z Wang code suitable for genetic operation Three decision variables KP, Ki, and KD are represented by a 10-bit binary code string Fitness Function The genetic algorithm determines the optimization direction according to the fitness value of an individual chromosome To obtain satisfactory dynamic characteristics of speed regulation, the time integration performance index of absolute error value is used as the minimum objective function To prevent excessive control quantity, the square term of output is added into the objective function: Z J ẳ w1 jetịj ỵ w1 utịịdt ẳ w3 t1 ð1Þ At the same time, to avoid overshoot, overshoot is introduced as one of the optimal indexes: Z J ẳ w1 jetịj ỵ w2 utị ỵ w4 jeytịjịdt ¼ w3 Á t1 ð2Þ Where eðtÞ is the system error; uðtÞ is the controller output; t1 is the rise time; w1 ; w2 ; w3 ; w4 are weights, and w4 [ [ w1 Genetic Manipulation [3] The basic operations of the genetic algorithm include copy, crossover, and mutation To maintain the diversity of the population, the fitness ratio method was used to copy, and the fitness value was obtained through the fitness function, and then the replication probability Pm corresponding to each coding string was calculated; the single point crossover was conducted, and the crossover probability was Pc ; finally, the probability Pm was used to select the gene loci to change it from to or from to 1, to maintain the diversity of the population Experimental Simulation The simulation model of the wire feeding motor speed regulation system is established by MATLAB, and the PI control strategy based on genetic algorithm for the current regulator and speed regulator is simulated respectively, as shown in Fig The main parameters of the system model are as follows: TL (electromagnetic time constant) = 0.05 s; TM (electromechanical time constant) = 0.158 s; R (total armature resistance) = 1.5 w; a (voltage feedback coefficient) = 0.0067; B (current feedback coefficient) = 0.05; K is a constant Design and Simulation of a Welding Wire Feeding Control System 1759 Fig Dynamic simulation of speed current double closed-loop wire feeding system 4.1 Simulation Experiment of Step Response of the Current Loop The number of samples is size = 30, the crossover probability and mutation probability are: PC = 0.60, PM = 0.033 Taking W1 = 0.999, W2 = 0.001, W3 = 2.0, W4 = 100, after 100 generations of evolution, the optimized parameters are: KP = 0.32, Ki = 25, performance index J = 24.9812, and the step response is shown in Figs and Fig The step response curve of the current Fig The step response curve of the current loop (b) Figure 3(a) shows the step response of the PI control system without optimization, the response curve slightly overshoot 4.4403%, and the peak time (0.00209 s) is very short (b) The step response of the PI control system optimized by the genetic algorithm has no overshoot and the response ends in 0.04 s The step response effect of the latter should be better than that of the former 4.2 Simulation Experiment on Step Response of Speed Loop The number of samples is 30, and the probability of crossover and mutation is Pc = 0.9 and Pm = 0.033, respectively Taking w1 = 0.999, w2 = 0.001, w3 = 2.0, w4 = 100, after 100 generations of evolution, the optimized parameters are: kp = 5.3, ki = 60.97, performance index J = 23.9936 The PI step response is shown in Fig 1760 Z Wang Fig The response speed of the step loop It can be seen that the step response performance index of the PI control system without optimization: overshoot is 67.7645%, peak time is 0.0258 s The step response performance index of the PI control system optimized by the genetic algorithm: overshoot is 34.1602%, peak time is 0.0897 s, the latter overshoot is small and the peak time is long, which meets the system requirements Conclusions In this paper, a double closed-loop wire feeding control system is designed, and the basic principle of a genetic algorithm is introduced Based on the conventional PI control algorithm, the PI tuning based on a genetic algorithm is designed and the system simulation model is established The simulation results show that the wire feeding control system has good speed stability, and the speed regulation performance is better than the traditional PI control, which can realize constant speed wire feeding References Yan, L., Jiluan, P., Hua, Z.: Control system of MIG/MAG welding wire feeder Acta Weld Sinica, 12(1), 59–63 (1991) Jirong, Q., et al.: Modern DC Servo Control Technology, and System Design China Machine Press, Beijing (2002) Xiaoping, W., Liming, C.: Genetic Algorithm: Theory, Application, and Software Implementation Xi’an Jiaotong University Press, Xi’an (2002) Yonghua, T., Yixin, Y., Lusheng, G.: New PID Control and its Application China Machine Press, Beijing (1998) Color Transfer Algorithm of Interior Design Based on Topological Information Region Matching Quan Yuan(&) Dalian Institute of Art and Design, Dalian 116600, China 1977843861@qq.com Abstract According to the characteristics of large color difference and rich color among interior scene regions, an interior design color transfer algorithm based on topological comprehensive information to guide region matching is proposed Firstly, the interior design image is segmented, and the topological information of each area is calculated Then, the regional matching relationship is determined according to the topological structure information to improve the accuracy of color transfer; Secondly, the color transfer is carried out between matched regions, and color adjustment is carried out for the regions without corresponding input color to improve the integrity of color transfer; finally, color harmony algorithm is used to reduce the influence of noise generated in color transfer on color transfer results, The experimental results show that the algorithm can preserve the color richness of the image globally, and obtain better matching relationship and color adjustment results locally, to obtain better color transfer results Keywords: Color transfer vector Á Color harmony Á Interior design Á Regional topology Á Matching Introduction Color transfer is a research direction with important application value in the field of image processing and computer vision Through the method based on statistics or color model, the color in the target image is transferred to the original image, so that the color transferred image and the target color image have similar color statistical information, and then the same color impression is transmitted to the original image to realize the image The existing research on color transfer can be divided into two categories: the first is the global color transfer; the second is based on local and partial cuts [1] In the local color transfer algorithm, the brightness of the region and the mean value of the degree is used as the matching index to match the regions with similar brightness, A single brightness as a matching index can not get a relatively reasonable matching result At the same time, when the number of regions is not the same, there is no reasonable color adjustment method for the noncorresponding matching areas In this paper, according to the characteristics of large color difference and relatively rich color between the regions in the indoor scene, and considering the regional functional © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2021 M Atiquzzaman et al (Eds.): BDCPS 2020, AISC 1303, pp 1761–1765, 2021 https://doi.org/10.1007/978-981-33-4572-0_262 1762 Q Yuan attributes, this paper proposes a color transfer algorithm for interior design based on topological information This algorithm not only overcomes the shortcomings of the global algorithm for color loss in color transfer between color-rich images but also overcomes the disadvantage that the local color transfer algorithm only takes the average brightness as the matching index, which leads to a poor regional matching effect, to improve the interior design The purpose of the final effect of color transfer [2, 3] The Algorithm Flow of This Paper The algorithm steps are as follows: Input Original image and target color image Output Color transfer image The input image is divided into regions and analyzed The topology information is used to determine the region matching correspondence by matching strategy If the matching result is not satisfied, the user interaction can be used to determine the initial matching area In this way, the following matching process is limited according to the topological adjacency Improve the accuracy of color transfer Step The base for completing the color transfer of the existing matching corresponding region Based on no corresponding matching area color adjustment, improve color conversion The integrity of the move Step Use the method of color harmony to solve the problem of color transfer Into the noise and the image of the small color unadjusted area of the color discord Harmony and other issues, enhance the harmony of color transfer Region Matching Based on Topological Synthesis Information Because of the characteristics of large color difference and color phase between interior scene regions, the global color transfer algorithm can only obtain relatively monotonous color transfer results [2, 3] In this paper, through the regional segmentation of interior design image, the topological information of the region is analyzed, and the region matching is guided, to obtain a more reasonable matching corresponding relationship In this paper, we use the grab cut algorithm proposed by rother et al For region segmentation, this algorithm uses the texture information and boundary information in the image to establish a Gaussian mixture model As long as a small amount of user interaction, we can get better segmentation results The relative color relationship between regions is the main factor that affects the impression of interior design Therefore, this paper considers the topological relationship between color regions, and studies the relationship between color regions by constructing a Color Transfer Algorithm of Interior Design 1763 topological connection diagram between regions The topological information vector V of each region is defined as the proportion n of the number of adjacent regions n The proportion of the area R and the relative position l of the region relative to the image center L is composed of the relative color difference s between the adjacent regions; Represents the topological matching vector of the ith region in the form of Vi ¼ ðNi ; Ri xi Li xS Si Þ, where, > > > > > < Ni ¼ ni =nt Ri ¼ =ðIW Â Ih Þ À Li ¼ Li =ðLD =2Þ > m > P > > Rj Dðci ; cj Þ=256 > : Si ẳ 1ị i2w ni is the number of adjacent regions in the i-th region, nt is the total number of image regions, is the area of the i-th region, IW is the image width, Ih is the image height, Li is the average distance from the color point of the i-th region to the image center, LP is the image diagonal length, D (ci, cj) Represents the difference of color mean value between the i-th region and the j-th region in lab color space The j-th region belongs to its adjacent region subset w; xL ; xS are the correction coefficients (take xL = 0.2, xS = 0.2) To obtain the matching relation F, the energy function is used F ¼ F 2 X ðViS À Vjt Þ ð2Þ In this paper, Euclidean distance is used to calculate the distance between the two weight matching vectors, where ViS is the matching vector of the i-th region in the original image, and Vjt is the matching vector of the J-REGION in the target color image Color Transfer and Color Adjustment in Unmatched Regions After obtaining the matching correspondence, there are two situations according to the number of regions divided 1) The number of regions in the target color image is greater than or equal to the number of regions in the original color image According to the corresponding matching relationship, the pixels in the region are color transferred according to the color transfer function in the literature in the lab color space If the I region in the original image matches the j region in the target image Then the calculation formula of the value ðIz0 ; a0z ; b0z Þ of each channel after color transfer in the region is 1764 Q Yuan < Iz ẳ Iz lisl ịrisl =risl ỵ lisl @ ẳ @z lis@ ịris@ =ris@ ỵ lis@ : z0 bz ẳ bz lisb ịrisb =risb ỵ lisb 3ị Optimization of Color Transfer Results Based on Color Harmony By calculating and selecting the appropriate color transfer template and the appropriate rotation angle of the template, the algorithm achieves the purpose of a relatively harmonious image color under the premise of a small change of image color The steps are as follows: Step Convert the image to HSV color space, extract the color ring diagram of the image in the hue (H) channel, and follow the X HðpÞ À Er ðtÞ ðpÞ pị FX; m; tịị ẳ 4ị p2X The color disharmony coefficient of each template under the corresponding rotation angle is calculated to solve the value of s When the discordance coefficient is the minimum, it is the appropriate template rotation angle In formula to (4), X represents all color points in the image; H (P) represents the color points with hue value p; Er ðtÞ ðpÞ shows the boundary hue value of the minimum arc distance from P when the rotation angle is r in the m template; S (p) is the area proportion of the color points whose hue value is p; II | is calculated by the arc distance on the hue ring If the hue value p is inside the color harmony template, then HðpÞ À Er ðtÞ ðpÞ was Step After calculating the appropriate rotation angle of each template, the template Tm with the lowest discordance coefficient is selected as the target template, and the color harmony template is rotated according to the optimal rotation angle of the template To improve the harmony of the image, it is necessary to transfer the hue value p outside the color harmony template into the color template H'pị ẳ Cpị ẳ w Gr kHðpÞ À CðpÞkÞ ð5Þ Among them, C (P) corresponds to the weighted central hue value of the corresponding region in the color template; G r ll l represents the Gaussian distribution with a standard deviation of r; W is the length of the corresponding color template interval, generally, r is w/2 To avoid the simple linear shift of hue, the algorithm uses Gaussian distribution to adjust the hue Color Transfer Algorithm of Interior Design 1765 Conclusions Because of the strong regional characteristics of interior design, this paper proposes an interior design color transfer algorithm based on topological information region matching Compared with the global algorithm, this algorithm achieves better results in the retention of color richness 1) According to the characteristics of obvious color difference between interior design areas, the topological information of each region is analyzed by region division to guide region matching and improve the accuracy of color transfer algorithm; 2) To improve the integrity of the color transfer algorithm, a color adjustment method based on maintaining the relativity of adjacent region colors is proposed; 3) Because of the characteristics of the noise produced in the process of color transfer and the color of small areas in the original image that are difficult to adjust, the color harmony algorithm is applied to optimize and adjust the colors of these regions, to enhance the harmony degree of the color transfer algorithm The disadvantage of this algorithm is that it is limited by the color transfer algorithm, and the detail transfer is not accurate enough, especially for the color with texture area, which is the problem to be solved in the future References Reinhard, E., Ashikhmin, M., Bruce, G., et al.: Color transfer between images IEEE Comput Graph Appl 21(5), 34–41 (2001) Wang Shiliang, X., Gang, C.Q., et al.: Color transfer with multiple parameters by combining the scaling and mean values [3] J Image Graph 18(11), 1536–1541 (2013) (in Chinese) Guoying, Z., Shiming, X., Hua, L.: Application of higher moments in color transfer between images J Comput.-Aided Des Comput Graph 16(1), 62–66 (2004) (in Chinese) System Construction Model of Legal Service Evaluation Platform Based on Bayesian Algorithm Yanhong Wu(&) Basic Teaching Department, Shandong Huayu University of Technology, Shandong 253034, China wanglei18291826361@126.com Abstract First this paper constructs a public legal service platform suitable for rural residents in Dezhou This legal service platform is mainly composed of online platform, offline platform and service personnel The purpose is to popularize legal knowledge to rural residents in various forms Through the operation of the platform, “law” can be introduced into thousands of households and ordinary families, so that villagers can know the law and understand the law, avoid breaking the law without knowing it, and thus enhance the legal awareness of rural residents Secondly, a reasonable evaluation system is established to evaluate the operation effect of the service platform, and the service platform is evaluated and improved continuously according to the evaluation results Keywords: Legal consciousness Á Legal service platform Á Evaluation system Introduction Legal consciousness is a special social consciousness [1–4] In recent years, with the deepening of the Country’s law popularization, more and more activities have been carried out in rural areas Nearly two years the Country puts forward the policy of one village one legal adviser The implementation of these works and policies, to a large extent, has improved the rural residents’ knowledge and understanding of the law However, due to the low education level of some residents, outdated ideas, the law in the rural lack of due authority, some of the leading cadres in the countryside did not play an exemplary role, many rural residents are not very law-conscious The weak legal consciousness [5] has become the bottleneck that restricts the improvement of the residents’ legal quality and affects the development and stability of the countryside This paper aims to build a public legal service platform in line with the legal awareness of rural residents in Dezhou so that villagers can have legal recourse in the face of disputes At the same time, let the villagers know all kinds of legal knowledge, to avoid breaking the law without knowing, to build a good legal environment for rural revitalization © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2021 M Atiquzzaman et al (Eds.): BDCPS 2020, AISC 1303, pp 1766–1771, 2021 https://doi.org/10.1007/978-981-33-4572-0_263 System Construction Model of Legal Service Evaluation Platform 1767 Establishment of “Online+Offline” Public Legal Service Platform for Rural Residents The Construction of Multi-level Comprehensive Evaluation System Fuzzy comprehensive evaluation method is a comprehensive evaluation method based on fuzzy mathematics The comprehensive evaluation method is based on the model The membership theory of fuzzy mathematics transforms qualitative evaluation into quantitative evaluation, that is to say, fuzzy mathematics makes an overall evaluation of things or objects restricted by various factors It has the characteristics of clear results and strong systematicness It can solve fuzzy and difficult quantified problems well It is suitable for solving all kinds of non-deterministic problems Since it is difficult to quantify many indicators to judge the quality of public legal service platform, fuzzy comprehensive evaluation method is selected to evaluate it, and analytic hierarchy process is selected to obtain the weight in order to give more objective and reasonable weight The establishment of the public legal service platform aims to build a platform for rural residents to understand laws and regulations, learn legal knowledge and solve legal disputes The rationality of the legal service platform directly affects residents’ legal literacy level and attitude to solve legal disputes Therefore, it is particularly ... Analysis in the Information Age 969 Linyu Xie Operation Mode and Development Strategy of Internet Finance 977 Xingping Zhu Internet Finance and Financing Innovation of Small and Micro Enterprises... Shanghai University, China Shanghai University, China Shanghai University, China Shanghai University, China 2020 International Conference on Big Data Analytics for Cyber- Physical System in Smart. .. processor In: Proceedings of 2019 the 9th International Workshop on Computer Science and Engineering (WCSE 2019) Science and Engineering Institute (SCIEI): Science and Engineering Institute (SCIEI),