Intelligent Service System Research Articles

Green financial risk management based on intelligence service

Risk management is an important issue of green finance, and it is also a prominent issue of green economic development. The resolution of green financial risk will help protect the interests of all stakeholders and promote the development of green finance. This study suggests that intelligence service provides new ideas and ways for green financial risk management. Applying intelligence service to green financial risk management will contribute to the sustainable development of green finance and enrich the theoretical system of intelligence science. This study first builds an intelligence service system of green financial risk management from five aspects: intelligence demand, intelligence collection, intelligence processing, intelligence application, and intelligence tracking. A questionnaire is designed based on this system. The first batch of green finance pilot cities in China (Ganjiang, Gui'an, Guangzhou, Huzhou, Quzhou, Changji, Hami, and Karamay) are investigated. This study uses a regression model to analyze the data and analyzes the intelligence service status of green financial risk management in pilot cities. The research divides those green finance pilot cities into eastern, central, and western regions. It shows obvious differences in the intelligence service elements in the eastern, central, and western regions of green financial risk management. The eastern region pays more attention to the three elements of intelligence demand, intelligence application, and intelligence tracking when carrying out green financial risk management. In the process of green financial risk management in the western region, there are obvious deficiencies in the two elements of intelligence collection and intelligence processing, which may be due to the lack of advanced digital equipment and effective digital resource. The central region lies between the eastern and western regions on intelligence service of green financial risk management. Based on the above results, this study proposes that establishing an intelligence center, sharing intelligence resources, improving digital technology, and updating intelligence cases can enhance the effectiveness of intelligence service in the risk management of green finance.

An Intelligent Product Service System for Adaptive Maintenance of Engineered-to-Order Manufacturing Equipment Assisted by Augmented Reality

Under the framework of Industry 4.0, machines and machine tools have evolved to smart and connected things, comprising the Internet of Things (IoT) and leading to the Mass Personalization (MP) paradigm, which enables the production of uniquely made products at scale. MP, fueled by individualization trends and enabled by increasing digitalization, has the potential to go beyond current mass customization. Although this evolution has enabled engineers to gain useful insight for the production, the machine status, the quality of products, etc., machines have become more complex. Thus, Maintenance Repair and Overhaul (MRO) operations should be undertaken by specialized personnel. Additionally, Augmented Reality (AR) can support remote maintenance assistance to handle unexpected malfunctions. Moreover, due to advances regarding Product Service Systems (PSS), manufacturing companies are offering many services to improve user experience. Consequently, in this manuscript the design and development of a method based on the principles of servitization for the provision of an intelligent and adaptable maintenance service assisted by AR are presented. The contribution of the manuscript extends to the provision of an optimization algorithm for adapting the schedules of the stakeholders based on the energy supplier predictions. The developed method was tested and validated on an industrial case study of injection mold maintenance, achieving 11% energy reduction, 50% less time for mold inspection, and a 20% rise in on-time mold deliveries.

Design and Implementation of Smart Tourism Service Platform from the Perspective of Artificial Intelligence

With the advancement of science and technology and the further improvement of people’s living standards, tourism has become a hot topic in today’s society. This paper is aimed at studying the development of a smart tourism service platform using artificial intelligence recognition technology and automatic program design. This paper proposes functions such as online ticket booking through the design of intelligent access control in scenic spots (combined with intelligent voice, face recognition, and other technologies), scenic miniprograms, and WeChat public accounts. Tourists can collect tickets automatically through the intelligent assistant designed by the intelligent service system. This allows tourists to consult and interact with intelligent machine assistants, reducing human-to-human contact during travel, thereby reducing the probability of epidemic infection (mainly spread by coughing or sneezing, close contact with sick people, touching contaminated surfaces, etc.). Finally, the smart tourism service platform is promoted, and an online questionnaire survey is conducted on 2,000 tourists who use the service platform to understand the actual use of the system. The results of the questionnaire survey showed that among the 2,000 tourists’ evaluations, 55.15% were satisfied with the system, 41.5% were very satisfied, 3.1% felt average, 0.25% felt dissatisfied, and 0% were very dissatisfied. At the same time, a large number of positive evaluation words were received in the feedback results of tourists, which shows that the smart service system designed in this paper is very popular with tourists. Meanwhile, a great deal of positive evaluation words were received in the feedback results of tourists (such as full of technology, special convenience, and special safety). This shows that the intelligent service system designed in this paper is very popular with tourists.

Research on Urban Intelligent Medical Service System Design Based on Multiobjective Decision-Making Optimization Strategy

Aiming at the problems of difficult medical treatment for urban residents, low efficiency of hospitals, imbalance of medical resources and difficulty to meet the demands of patients, this paper proposes an urban intelligent medical service system based on multiobjective decision-making optimization strategy. Firstly, it analyzes the medical service demands of urban residents and points out that the urban intelligent medical service system should provide comprehensive services for residents; the main demands include basic medical demands, expected medical demands, and health care medical demands. Secondly, based on demand analysis, an urban intelligent medical service system composed of government, community hospital, large hospital, and urban residents is designed. The system has three kinds of system functions: customer business services, basic services, and institutional information services. Then, the overall process of the system before and after treatment of urban residents is introduced. Finally, according to the optimization objectives of the system: low medical cost, fast treatment speed, and high service satisfaction, the corresponding optimization strategies are formulated to optimize the urban intelligent medical system, reduce medical cost, improve treatment speed, and improve customer satisfaction, to better serve urban residents.

PF‐ITS: Intelligent traffic service recommendation based on DeepAFM model

Due to the progressive complexity of traffic networks, the traffic pressure increases sharply and traffic accidents occur frequently, which is largely posed by imprecise traffic information service provided in existing Intelligent traffic service systems (ITSSs). To relieve traffic information trek encountered in complex traffic networks, the personalized traffic information recommendation based on click through rate (CTR) prediction has attracted extensive attention. However, the data sparsity and cold start problems in traditional recommendations hinder their real-time applications in ITSSs. In this paper, the multisource data with different types of context information are utilized to construct a personalized fine-grained recommendation method for intelligent traffic services (PF-ITS), which includes three components: a road condition optimization strategy (RCOS) to capture users' behavior preferences and traffic patterns, an encoder–decoder long short-term memory (LSTM) model to address the data sparsity and cold start problems with rich context information, and an improved DeepFM model based on attention mechanism (DeepAFM) to exert personalized fine-grained traffic information recommendation with embeddings of multisource data. More specifically, the RCOS is proposed to perform coarse-grained route recommendation based on path planning theory, in which the traffic data and drivers' preferences are fully utilized for comprehensive modeling. The encoder–decoder LSTM model is employed for representation learning, in which the traffic sequences and driving behaviors are mapped into dense distributed representations with rich semantic information. The DeepAFM is utilized to achieve effective driving safety guarantee according to an individual's requirements, in which the weighted low-order feature combinations and high-order feature interactions are incorporated for personalized fine-grained recommendation. We also conduct extensive experiments on public data sets and in real-world scenarios. The experimental results demonstrate that the PF-ITS method based on RCOS and DeepAFM outperforms the state-of-the-art baseline models in effectiveness and efficiency.

Construction of Intelligent Service System for Adolescent Students’ PE Based on Big Data Analysis

As an important gateway to talent training, a university should monitor the physique of college students in real time and effectively cultivate their physical quality. Under the background of big data, it is necessary to construct the intelligent service system of students’ physical health (PE) in time, realize unified management, provide strong support for improving decision-making at all levels, ensure the orderly development of physical examination, and find and solve related problems in time. In this paper, the adolescent students’ PE is taken as the research object, and driven by big data, the intelligent service system of Chinese adolescent students’ PE is studied. Students’ PE test system based on data mining makes use of modern computer technology, breaks through many limitations of traditional manual test, transfers the traditional test form to computer, and uses IT to complete test and data analysis efficiently and accurately with the advantage of computer. This not only improves college students’ health awareness, health status, and participation enthusiasm but also significantly improves the work efficiency of health management institutions.

Clinical Care of Hyperthyroidism Using Wearable Medical Devices in a Medical IoT Scenario.

This paper presents an in-depth study and analysis of clinical care of patients with hyperthyroidism using wearable medical devices in the context of medical IoT scenarios. According to the use scenario of the gateway and the connectivity of the equipment, the hardware architecture, hardware interfaces, functionality, and performance of the gateway were briefly designed, so as to monitor patients with hyperthyroidism more comprehensively and save labor costs. The gateway can provide access to different devices and adaptation functions to different hardware interfaces and provide hardware support for the subsequent deployment of the proposed new medical communication protocols and related information systems. A medical data convergence information system based on multidevice management and multiprotocol parsing was designed and implemented. The system enables the management and configuration of different medical devices and access to data through the targeted parsing of the underlying medical device communication protocols. The system also provides the automatic adaptation of multiple types of underlying medical device communication protocols and automatic parsing of multiple versions and can provide multiple devices to process fused data streams or device information and data from a single device. The use of event-driven asynchronous communication eliminates the tight dependency on service invocation in the synchronous communication approach. The use of a metadata-based data model structure enables model extensions to accommodate the impact of iterative business requirements on the database structure. Real-time patient physiological data transmission for intraoperative monitoring based on the MQTT protocol and video transmission for intraoperative patient monitoring based on the RTMP protocol were implemented. The development of the intelligent medical monitoring service system was completed, and the system was tested, optimized, and deployed. The functionality and performance of the system were tested, the performance issue of slow query speed was optimized, and the deployment of the project using Docker containers was automated.

Design of library smart cloud service system based on blockchain technology

AbstractBlockchain is equivalent to a transparent billing, and it eventually becomes a perfect storage or storage technology through many ways. Smart cloud uses internet cloud computing and other computing methods to create a scientific and humanized intelligent service system based on office. This article aims to use blockchain technology to design and study a smart cloud service system suitable for optimizing services and managing libraries. This article proposes that a special algorithm using blockchain technology can effectively improve the performance of all aspects of the smart cloud service system and improve the rating scores of users on the service system. In the experiment, the calculation of different iteration times in different algorithms of the blockchain obtains the experimental comparison chart, and it is obtained that the FUJK3 algorithm is better than the other two algorithms. The algorithm can increase the overall performance of the smart cloud service system by about 10 points, and the user's rating score for the service system by about 15 points.

Design of Human-Computer Interaction Product Interface of Intelligent Service System based on User Experience

The current intelligent service platform for human-computer interaction products and services on the user experience is not comprehensive enough, resulting in user satisfaction cannot reach the ideal level. Therefore, a new human-computer interface of intelligent service system based on user experience is designed. Build a user experience based intelligent service system hardware platform, the introduction of the full name of hypertext markup language, so that more personalized design to be met. Design user experience PC terminal and Bluetooth/RS-485 gateway module to achieve two-way signal conversion between Bluetooth and RS-485. Based on ARM processor, the speech recognition of human-computer interaction is completed, the features of collected data are extracted, and the hand gesture recognition is completed. In order to optimize the human-computer interaction effect, Kinect is used to track and identify moving objects, and the 3D interactive image is simulated by fused texture. Experimental results show that the proposed method has a higher probability of receiving data, and the recognition rate of gesture features and recognition accuracy can reach more than 90%.

Research on Library Personalized Push System Based on Big Data Decision

Big Data is the product of the rapid development and application of information technology, and it is also the inevitable trend of the development and application of intelligent technology. In the environment of big data, by giving full play to the advantages of big data decision-making system and actively constructing library personalized push system, we will break the foundation of Library Service Space and time, fully guarantee the information system and service ability of the library. In the process of operation, libraries should make full use of big data resources and accurately identify the service demand, reading behavior and individual characteristics of library users, innovate the Information Mode and personalized service method, continuously improve the user’s reading experience, improve the user relationship, thus form the accurate, personalized and intelligent book information service system.

A design method for an intelligent manufacturing and service system for rehabilitation assistive devices and special groups

The maturity of Industrial 4.0 technologies (smart wearable sensors, Internet of things [IoT], cloud computing, etc.) has facilitated the iteration and digitization of rehabilitation assistive devices (RADs) and the innovative development of intelligent manufacturing systems of RADs, expanding the value-added component of smart healthcare services. The intelligent manufacturing service mode, based on the concept of the product life cycle, completes the multi-source data production process analysis and the optimization of manufacturing, operation, and maintenance through intelligent industrial Internet of things and other means and improves the product life cycle management and operation mechanism. The smart product-service system (PSS) realizes the value-added of products by providing users with personalized products and value-added services, service efficiency, and sustainable development and gradually forms an Internet-product-service ecosystem. However, research on the PSS of RADs for special populations is relatively limited. Thus, this paper provides an overview of an IoT-based production model for RADs and a smart PSS-based development method of multimodal healthcare value-added services for special people. Taking the hand rehabilitation training devices for autistic children as a case, this paper verifies the effectiveness and availability of the proposed method. Compared with the traditional framework, the method used in this paper primarily helps evaluate rehabilitation efficacy, personalizes schemes for patients, provides auxiliary intelligent manufacturing service data and digital rehabilitation data for RAD manufacturers, and optimizes the product iteration development procedures by combining user-centered product interaction, multimodal evaluation, and value-added design. This study incorporates the iterative design of RADs into the process of smart PSS to provide some guidance to the RADs design manufacturers.

The construction of emergency intelligence service system for think tanks in the context of big data

The big data era has ushered in huge transformation in the form of major media, with WeMedia nowadays becoming the mainstream. As is witnessed, WeMedia has achieved a rapid and widespread growth in both dissemination and influence, which has posed a series of challenges to the Emergency Intelligence Service System for Think Tanks, including changes to the subject, content, form, and connotation of platforms. Based on big data, this study makes an investigation into the Emergency Intelligence Service for the modern think tanks and applies the method of factor analysis to draw the conclusion on what kind of factors will influence the performance of the Emergency Intelligence Service for Think Tanks. Then, from the perspective of the life-cycle theory, this research not only optimizes the work process of the Emergency Intelligence Service for Think Tanks, but also constructs a multi-dimensional Emergency Intelligence Service System based on the concept of “Data Driven + Technology Application + Expert Decision” from the aspect of theoretical and technical perspectives. Meanwhile, a public health incident emergency information service system is built on this basis, describing the application process with food poisoning as an example. Last but not least, hopefully, this study could help improve the quality of decision and effectiveness of the Emergency Intelligence Service for Think Tanks and enhance the power of influence and communication for agencies of Emergency Intelligence Service and this paper provides a reference for the establishment and improvement of government decision-making and governance mechanisms.

Retraction Note to: The characteristics of rainfall in coastal areas and the intelligent library book push system oriented to the Internet of Things

Driven by economic globalization and the development of a low-carbon economy, the Internet of Things has brought new hope to countries around the world. In the context of climate change and rapid urbanization, the health of rivers in coastal areas of China is facing huge risks. The water cycle in coastal areas is complex and highly dependent on human activities. At the same time, the relative lack of long-term measured hydrological data makes it difficult to model the flow of coastal rivers, and also difficult to predict and analyze water quality. Therefore, this paper establishes a method to evaluate the latent heat structure based on the percentage of precipitation or the occurrence frequency of various systems in order to quantify the time, space distribution, and climatic conditions of the latent heat structure of the deep convective system under different regions and weather conditions. In addition, this research first analyzes the rainfall distribution rules and rainfall characteristics in coastal areas, then compares the physical mechanism-based SOBEK hydrological model with the neural network model, and conducts modeling and model characteristics analysis of the coastal areas. In response to these challenges, this article first analyzes and summarizes the temporal and spatial distribution of coastal rainfall and typical rainfall characteristics. This article focuses on the intelligent data mining push service system used by academic libraries at home and abroad. After careful research, academic libraries based on data mining will promote the development of intelligent push services. With the help of SQLServer2019 database management system, Android technology, and PHP component architecture, combined with collaborative filtering algorithms, intelligent book recommendation is realized. The recommendation principle is based on user characteristics and effectively promotes interest classification to create recommendation models and service systems.

Design and Development of an Intelligent Skipping Rope and Service System for Pupils.

Regular physical activity (PA) contributes to health, growth and development in childhood and it is essential for children to achieve appropriate PA levels (PAL). However, most children around the world fail to comply with the recommended PAL requirements. Rope skipping, as a highly accessible, enjoyable, and affordable physical activity for students, has been considered a sustainable afterschool physical activity to promote physical fitness of students by educators. The booming development of smart fitness product design and the advent of exergames have brought new possibilities for physical education and rope skipping: personalized guidance, intuitive and interesting feedback and visualized exercise data analysis—there is much room for optimization. In this study, an intelligent skipping rope and its service system were studied for primary school students (aged 7–12) who started to get involved in this sport. First, user needs, product functions, and system requirement were summarized by conducting observations and user interviews. Then, a prototype of the hardware and software interface were designed based on analysis of user research. Next, a usability test of the interactive prototype was carried out and optimization was finally made based on the feedback of the usability evaluation. The final system design includes combined innovations in software and hardware with the intention to increase children’s participation in physical activity and assist them in skipping rope in the right way with proper equipment and programs.

Architecture design and demand analysis on application layer of standard system for ubiquitous power Internet of Things

The ubiquitous power Internet of Things (UPIoT) is an intelligent service system with comprehensive state perception, efficient processing, and flexible application of information. It focuses on each link of the power system and makes full use of the mobile internet, artificial intelligence, and other advanced information and communication technologies in order to realize the inter-human interaction of all things in all links of the power system. This article systematically presents to the national and international organizations and agencies in charge of UPIoT layer standardization the status quo of the research on the Internet of Things (IoT)-related industry standards system. It briefly describes the generic standard classification methods, layered architecture, conceptual model, and system tables in the UPIoT application layer. Based on the principles of inheritance, innovation, and practicability, this study divides the application layer into customer service, power grid operation, integrated energy, and enterprise operation, emerging business and analyzes the standard requirements of these five fields. This study also proposes a standard plan. Finally, it summarizes the research report and provides suggestions for a follow-up work.

Application of Blockchain and Artificial Intelligence Technology in Large Forestry Enterprise Archives Management

The management information system of large enterprises is an important partof the construction of digital forestry in China. As the underlying technology foundation ofthe next generation of trust Internet, the importance and extensibility of cannot beignored. As an emerging technology and tool, it will also have an important impact on thedevelopment of library, information and discipline. This paper studies the applicationof in large enterprise management. This paper constructs the archivesintelligent service system of artificial intelligence + blockchain from four dimensions ofinfrastructure layer, resource layer, technology processing layer and service applicationlayer. At the same time, this paper deeply excavates the practical application examples of +blockchain archives at home and abroad, and discusses how AI can enable intelligentservice. Finally, the intelligent service system of artificial intelligence + blockchainwas initially constructed. The results show that the service system can improve the efficiencyand accuracy of management in large enterprises.

Research on intelligent service of customer service system

With the development of the wireless network, from 4G network to 5G network, people's communication quality has improved significantly and the processing requirements of operators' customer service systems will ameliorate, whereas the business undertaken by the intelligent network becomes more difficult. Customer service system, which can convey files and video, has evolved from manual to intelligent. At the same time, this system establishes a knowledge base based on the process of solving problems with customers. The customer service system can also undertake the task of process control within the enterprise. The ultimate goal is to understand the needs of customers through the knowledge base and develop corporate products based on customer data. Furthermore, this study proposes a network architecture of an intelligent customer service system to provide a reference for the construction.

Tourism Management System Based on mobile Internet

With the development of cloud computing, Internet of things, mobile communication, mobile Internet and other technologies, the development of intelligent, multi-dimensional and all-round tourism management information system has become the development trend of tourism informatization. This paper studies and realizes a mobile, information, intelligent and personalized intelligent travel service system for tourism industry by comprehensively utilizing the tracking and registration technology based on location and multi-sensor, tile map technology, 3D landscape map technology and virtual reality Superposition Technology of mobile augmented reality system. The system can provide a new perspective for tourists to understand the surrounding landscape and get a new interactive experience. The system includes three-dimensional landscape map, virtual roaming, route navigation, environment identification, historical building query, thermal map display, friend footprints, personal trajectory, Wechat sharing and other functional modules. Tourists can enjoy more convenient travel services at the same time. The model proposed in this paper has a certain reference value for the study of tourism management system.

Hybrid Intelligence in Big Data Environment: Concepts, Architectures, and Applications of Intelligent Service

Based on the emerging concept of “Hybrid Intelligence,” this paper aims to explore a new model of human–computer interaction, and deeply research on its development and application of Intelligent Service in the big data environment. It systematically explores the related academic concepts of hybrid intelligence, and establishes its architecture model. The development of hybrid intelligence is faced with cognitive differences, system fragmentation, human–machine digital divide, and other issues. Strengthening the interaction between cognition and perception can be the key to break through the bottleneck. The intelligent service system based on the hybrid intelligent architecture takes knowledge fusion as the core, and “cloud intelligent brain” is making it possible for the human–computer symbiosis driven by hybrid intelligence. The proposed advanced human–computer interaction mode constructs a hybrid intelligent architecture model, enriches the concept system of human–machine hybrid intelligence, and provides a new landing scheme for intelligent services based on complex scenes in the big data environment.

Design of Intelligent Energy Service System Based on Industrial Internet

With increasing energy consumption, the problems of extensive management and low utilization efficiency in the process of energy use have become more and more prominent. How to improve energy utilization has become an important issue. This paper designs and implements a smart energy service system based on the Industrial Internet, which can provide services for energy service providers and energy customers. This paper describes the system from the aspects of overall architecture, business architecture, technical architecture and integration architecture. Finally, the demonstration application of the system is introduced, which verifies the effectiveness and practicability of the designed system.