Information Service Platform Research Articles

Role-Based Access Control Model for Inter-System Cross-Domain in Multi-Domain Environment

Information service platforms or management information systems of various institutions or sectors of enterprises are gradually interconnected to form a multi-domain environment. A multi-domain environment is convenient for managers to supervise and manage systems, and for users to access data across domains and systems. However, given the complex multi-domain environment and many users, the traditional or enhanced role-based access control (RBAC) model still faces some challenges. It is necessary to address issues such as role naming conflicts, platform–domain management conflicts, inter-domain management conflicts, and cross-domain sharing difficulties. For the above problems, a role-based access control model for inter-system cross-domain in multi-domain environment (RBAC-IC) is proposed. This paper formally defines the model, divides roles into abstract roles and specific roles, and designs the operating process of the access control model. The model has four characteristics: support role name repetition, platform–domain isolation management, inter-domain isolation management, and fine-grained cross-domain sharing. By establishing security violation formulas for security analysis, it is finally shown that RBAC-IC can operate safely.

Oral Supplementation of Low-Molecular-Weight Collagen Peptides Reduces Skin Wrinkles and Improves Biophysical Properties of Skin: A Randomized, Double-Blinded, Placebo-Controlled Study.

Orally administered collagen peptides could contribute to antiaging by replacing the degraded extracellular matrix proteins caused by photoaging. This study aimed to evaluate the efficacy and safety of low-molecular-weight collagen peptides for treating photoaged and dry skin. In this randomized, placebo-controlled, parallel-group, double-blinded trial, we randomly assigned study participants (n = 100) to either the test product group or placebo group at a 1:1 ratio for 12 weeks. The wrinkle scale score, eye wrinkle volume, roughness parameters, such as the average maximum height of the wrinkle (Rz), arithmetic average within the total measuring length of the wrinkle (Ra), maximum profile valley depth of the wrinkle (Rv), and skin hydration, transepidermal water loss (TEWL), overall elasticity (R2), and ratio of elastic recovery to total deformation (R7) were evaluated at baseline, 6 weeks, and 12 weeks. Safety assessments with serial blood tests were also conducted. Efficacy assessments of data from 84 participants were conducted as the per-protocol analysis. After 12 weeks, the 10-grade crow's feet photo scale score, eye wrinkle volume, skin roughness parameters (Rz, Ra, and Rv), skin elasticity (R2 and R7), skin hydration, and TEWL were significantly improved in the test product group compared to the placebo group. There were no adverse events or abnormalities according to laboratory analysis associated with using the test material during the study period. This study showed that the oral supplementation of low-molecular-weight collagen peptides could improve the wrinkles, elasticity, hydration, and barrier integrity of photoaged facial skin. This clinical study was registered with the Korean Clinical Research Information Service and International Clinical Trials Registry Platform (No: KCT0006500).

Production Industry Supply Chain Management Based On the Ethereum Blockchain

Currently, the composition and structure of the production industry's supply chain is becoming increasingly complex. The loss and untimely transmission of supply chain information exacerbated the bullwhip effect. At the same time, due to the lack of a reliable repository of information, difficulties in traceability and accountability have also made supply chain management difficult. Blockchain has the characteristics of supporting distributed networks, synchronization of information between nodes, digital encryption, traceable information and unforgeable block content, which is suitable for use in supply chain and can provide a solution for it. In this paper, a design scheme of an integrated platform for information services provided by supply chain participants and based on the Ethereum blockchain is proposed. Using Ethereum smart contracts, the regular trade involved in the supply chain is realized using blockchain technology, and key information about the production and circulation of the supply chain is stored on the blockchain to ensure that the information cannot be falsified. At the same time, a reputation evaluation method based on smart contracts is used to evaluate the reputation of enterprises in the supply chain, which can provide references for supplier selection among enterprises.

Research on modular scheme of aviation emergency rescue for natural disasters

Aviation emergency rescue is the core part of China's emergency rescue system and the main rescue force, which plays an important role in disaster relief, rescue materials transfer, casualty transportation, air rescue, major health and epidemic prevention. Based on H145 helicopter, the modular design concept is adopted to redesign the aviation rescue equipment, and the modular structure layout of the cabin is completed for major natural disasters. Aiming at the path planning problem of rescue helicopter, based on the improved ant colony algorithm, the optimal path planning of helicopter is completed by comprehensively considering the constraints of helicopter flight performance and flight environment. Through the use of medical data interaction technology, a standardized transport information service platform is established, which solves the problem of medical information island between the transfer unit, the transport unit and the evacuation hospital when the helicopter performs the aviation emergency rescue task, realizes the interconnection of medical data, effectively shortens the response time of aviation emergency rescue and improves the rescue efficiency.

DEVELOPMENT AND APPLICATION OF A SMART EMERGENCY RESPONSE PLATFROM FOR EARTHQUAKE DISASTERS BASED ON MULTI-SOURCE MONITORING DATA

Abstract. Because of the characteristics of the strong suddenness of disasters, many secondary disasters, and high requirements for response timeliness, the development of integrated disaster monitoring with space-air-ground (SAG) multi-source data is a key scientific issue to deal with natural disasters and ensure the safety of people's lives and properties. However, the existing technical methods of emergency response information extraction and collaborative monitoring and evaluation are slightly weak, and the application service capability needs to be improved. Based on the formation mechanism and evolution law of earthquake disasters, this paper studies the SAG multi-source collaborative monitoring method. Using multi-source data, we not constructed the algorithm model of disaster evolution process simulation and risk dynamic assessment, but realized rapid disaster emergency assessment and intelligent emergency decision-making. At the same time, it has developed an integrated platform for earthquake disaster monitoring and smart spatial information services, which realizes the integrated expression of elements such as rapid access to multi-source spatiotemporal information, smart service models, and disaster monitoring information. We provide a task-driven software-hardware cooperative service application. In this way, the emergency response capability of regional earthquake disasters can be improved, the development of disaster prevention, mitigation, and relief emergency industries can be accelerated, and scientific and technological support can be provided, which ensures national development.

Spatiotemporal investigation and determinants of interprovincial innovation network from a multilayer network perspective

ABSTRACT Technology cooperation and technology transfer can be beneficial for realising the flow of innovative resources and promoting technological progress and growth, which is crucial to achieving sustainable and coordinated economic development. We investigate the structural characteristics of interprovincial innovation multilayer network, also called technology cooperation and transfer network, including the technology cooperation sub-network and technology transfer sub-network. Data are derived from Patent Information Service Platform for 2008–2018. The results are as follows: (1) the two sub-networks and multilayer network show the increasing density, and all of those networks display large cluster coefficients and short average paths. The degree between different networks is highly relevant. GDP, indegree and outdegree are linearly related. (2) As the two sub-networks in different provinces become increasingly integrated, the core provinces control the flow in the network and the edge provinces surround the core provinces, indicating a clear ‘core-edge’ structure. (3) The exponential random graph model regression results demonstrate a significant ‘path dependence’ property for technology cooperation-transfer network. GDP, R&D, distance and railway freight flow have a significant impact on network format.

Last-mile delivery optimization considering the demand of market distribution methods: A case studies using Adaptive Large Neighborhood Search algorithm

Based on the current situation and problems of transportation "last mile" transportation distribution, this paper establishes a path optimization model based on user distribution methods from the perspective of market preference for transportation distribution methods, designs an Adaptive Large Neighborhood Search (ALNS) algorithm, and builds a user portrait based on the solution algorithm and the construction method. Based on the solution algorithm and the user portrait construction method, the solution scenario is established, and the distribution route and transportation distribution method are planned based on five real location data. Through the analysis of the solution scenarios, it can be obtained that after the optimization of the model, the transportation distribution cost of enterprises can be reduced, and the satisfaction of the transportation distribution service quality can be improved. The higher the complaint cost, the lower the total transportation and distribution cost, and the higher the satisfaction rate; the higher the time window penalty cost, the higher the total distribution cost, and the lower the satisfaction rate. Through several model comparisons, it is found that the optimized model has obvious advantages in transportation cost and good performance in transportation service satisfaction. To further strengthen the promotion and application of the distribution path optimization model, countermeasures are proposed in three aspects: establishing a unified end transportation information service platform, increasing the investment in end transportation path optimization, and strengthening the formulation of supporting policies to realize the optimization of end distribution services.

Cloud Computing Database and Travel Smart Platform Design Based on LSTM Algorithm

Information technology has played a key role in the development of the tourism planning service industry and has now become an important foundation for the survival and rapid development of the industry. In this context, due to the fast updating and popularization of information technology, it has greatly promoted the development of the tourism industry. In order to meet the current public demand for tourism information, this paper integrates cloud computing, VR technology, and big data analysis technology to build a smart platform for intelligent perception tourism information services. The system can obtain tourism information through mobile Internet terminals. Among them, the database of the smart tourism planning platform is the most important module. Aiming at the many difficulties in adapting data encryption in cloud storage applications, this article designs an adaptive CloudCrypt data encryption system based on cloud computing technology and proposes dynamic JavaScript dynamic analysis and automatic identification of data technology, through adaptive different cloud applications to obtain data encryption protection. CloudCrypt is suitable for typical cloud applications, such as mail and storage. The entry cost of the system is extremely low; it can fully guarantee the security of the tourism information platform database and can integrate wireless sensor networks into the tourism information platform. The network system composed of sensor nodes activates detection, calculation, and communication modules through wireless communication and has the advantages of low cost, low power consumption, and fast networking speed. In this paper, through the construction of integrated wireless sensor technology and cloud computing database, it is applied to the construction of a tourism smart platform, thereby promoting the development of smart travel technology.

Information and communication technology-based service platform enabling the co-creation of agrometeorological services: A case study of the Laos Climate Services for Agriculture

Climate services for agriculture (agrometeorological services) are only possible through collaborative, interdisciplinary efforts. To this end, a national-scale service operated by centralized governments will mandate institutional coordination for data sharing, in addition to designated staff time and budget commitments for effective and sustainable operation; however, previous efforts have revealed that institutional coordination, particularly between meteorology and agriculture, represents the most difficult part preventing successful implementation in most countries. In this study, we examined the use of a top-down, information and communication technology (ICT)-based multidisciplinary platform for agrometeorological services for facilitating institutional coordination and ensuring project sustainability. The Strengthening Agro-climatic Monitoring and Information Systems (SAMIS) project, operational since 2018, focuses on building the adaptive capacity of agrometeorological services in Laos by combining the agricultural and meteorological sectors. The research here utilized the ICT-based service platform Laos Climate Services for Agriculture (LaCSA) to systematically engage relevant institutional partners in the co-creation process of agrometeorological services. The results showed that LaCSA enabled co-creation, including data sharing, collaborative tool use, institutional coordination, and policy support from multiple government entities across the agricultural and meteorological sectors. Key lessons and suggestions included co-training for both sectors, easy-to-use data management processes, early buy-in for policy makers, and creating standard operating procedures designating staff time and budgets. These results indicate that the coordinated operation of agrometeorological services through an ICT-based service platform can be successfully achieved in Laos as well as other developing countries, where institutional disconnects and human capital constraints hinder successful implementation of agrometeorological services.

Machine learning-based cloud IOT platform for intelligent tourism information services

Thanks to the continuous development of the tourism industry, the application of Internet of things (IoT) begins to boom among modern tourists. Smart tourism utilizes Internet of things to facilitate the information dissemination and exchange, making IoT technology an indispensable part of next-generation travelling tool kits. In this paper, based on visitor selection behavior, we develop a hybrid intelligent categorization approach. Particularly, our proposed method of categorization could help tourists decide whether or not to visit a sightseeing attraction in a minutes. Cross-validation testing and performance assessment show that our designed platform can work effectively and efficiently by considering a variety of factors.

Research on Construction Suggestions of China’s Endowment Service Supply Model from the Perspective of Welfare Pluralism

Under the background of an accelerating population aging process, China is facing the issues of a weakening household pension function and an insufficient social pension service supply. It is urgent to establish a perfect diversified pension service supply model. The theory of welfare pluralism advocates the participation of multiple subjects in social old-age services and emphasizes that social organizations play an important role in the provision of old-age services. This paper, under the perspective of welfare pluralism, discusses the problems and reasons existing in the endowment service supply in our country, and on the basis of the advanced international experience, it puts forward a new mode for resolving the problems in the endowment service supply, namely the “116 endowment service supply model”. This mode advocates that a top-level design at the national level is necessary, together with cooperation among the community, family, workplace, folk society, market and school in the national endowment service information platform, aiming at building a unified, coordinated and complementary model of diversified elderly care service supply.

APPLICATION AND PLATFORM DESIGN OF SPATIOTEMPORAL DATA OPENING AND SHARING

Abstract. Spatiotemporal data is data that has both temporal attributes and spatial distribution. The core of the opening and sharing of spatiotemporal data is to exchange, share and collaborate with various data, including spatiotemporal data, based on a unified spatiotemporal benchmark. The research methods of domestic and foreign scholars on the opening and sharing of spatiotemporal data mainly focus on spatiotemporal data model, database research, big data mining analysis and visual expression. This paper introduces the connotation and current situation of open sharing of spatiotemporal data. The typical applications of spatiotemporal data open sharing are listed and summarized. This paper proposes to build an open sharing platform for spatiotemporal data, and gives the basic requirements of four parts: spatiotemporal benchmark, spatiotemporal modeling big data, cloud computing-based spatiotemporal big data system and supporting environment. Taking the National Platform for Common Geospatial Information Services (TIANDITU) as an example, the main indicators of the spatiotemporal data open sharing platform are given. Finally, the article concludes and points out the opportunities and challenges faced by the open sharing of spatiotemporal data. In order to play a greater role in social public application services and administrative decision-making.

Hotspots and Cutting-Edge Visual Analysis of Digital Museum in China Using Data Mining Technology.

During the last several years, the building and development of digital museums has grown in importance as a study issue of increasing importance. On the other hand, systematic and extensive literature study on digital museums is rare in the academic community throughout the world. This paper employs data mining technology to conduct a comprehensive analysis of the total amount of academic literature, research hotspots, frontiers, and trends in the field of digital museums in China since the beginning of the twenty-first century, including both historical and contemporary data. In this research, the CNIK database and the CiteSpace program are utilized. The findings revealed that the quantity of published literature expanded significantly between 2000 and 2021, with some variations along the way, but that the general growth rate remained consistent. Colleges and universities are the driving force behind academic research in the field of digital museums; research institutes and big museums play a key part in the academic research that is being conducted by digital museums. Cooperation between research institutes, on the other hand, is severely lacking. Furthermore, the advancement of digital technology is an unavoidable byproduct of the efforts to transform the digital museum into a smart museum, as previously said. When it comes to digital museum development in the postepidemic period, the optimization and updating of a user-centered information service platform is the most important step toward long-term success. In order to maintain the richness of Chinese traditional culture while also meeting the expanding cultural requirements of the general public, China's digital museum research has as its ultimate objective the construction of sustainable digital museums that are appropriate for the country's national conditions. The findings also demonstrate that the construction of a Chinese Digital Museum is a study issue with distinct Chinese features that has the potential to contribute to the preservation of Chinese cultural heritage, both tangible and intangible. This research gives insights into the following aspects: researchers and practitioners from across the world will work together to promote a better knowledge of the building and growth of the digital museum in China, among other things.

Informatization of National Public Service Fitness in Constructing a Smart City Using Big Data

The public service system of national fitness is the condition and guarantee for the public to participate in various fitness activities. In order to effectively integrate the existing national fitness service resources and to improve the efficiency of the public service supply, this paper aims to study the informatization of building national fitness public services in smart city under the background of big data. Firstly, we build a public service information platform of national fitness in the smart city, consisting of different modules, and then describe each module in detail. Secondly, we consider different types of fitness projects and establish the database structure model of network resources. Thirdly, we obtain the multitree cascade system of the national fitness and the heterogeneous data model of the national fitness benefit index by using high-dimensional statistical analysis method. Combined with the national fitness behavior, data mining, and support vector machine (SVM), the objective function of data mining statistical decision-making is established. Finally, the well-known particle swarm optimization (PSO) method is used to optimize the target parameters so as to realize the national fitness, big data mining, and feature analysis. The simulation results show that the proposed model has superior performance, as it can realize heterogeneous data mining of the national fitness benefit index. In addition, we quantitatively analyze the promoting effect of the national fitness on the physical quality and health level of the public.

Construction of Water Conservancy and Energy Engineering Structure Platform Based on Cloud Computing

In view of the current water conservancy engineering system in solving the problem of water conservancy spatial information sharing and repeated investment in the construction of GIS systems by various water conservancy business departments, the research on the construction of water conservancy engineering structure platform based on cloud computing is proposed. We discussed the key technologies to realize the platform: pooled services, elastic cloud services, and spatial information services. The aggregation pooling service mainly uses the pooling mechanism and improves the responsiveness of platform services by creating object instances in advance. Based on the Cloud API provided by the cloud computing platform (such as creating a virtual machine, starting a virtual machine at runtime, and obtaining the real-time status of a virtual machine) and the REST Admin API provided by the water conservancy basic service module, using cloud computing technology ideas, we designed and implemented elastic cloud service technology. Enable the water conservancy spatial information service platform to be deployed in the cloud computing environment, support cloud architecture, and provide flexible computing capabilities, because the three types of services have different requirements for CPU and network utilization, the weight coefficient can be assigned to them. The CPU slice map service is 0.1, the spatial query service is 0.3, and the spatial analysis processing service is 0.6. The network bandwidth slice map service is 0.5, the spatial query service is 0.3, and the spatial analysis processing service is 0.2. Reduce the waste of infrastructure resources; meet the concurrent access needs of a large number of users. Spatial information service aggregation is one of the core service capabilities of the platform; it can effectively aggregate multisource spatial information, generate new services, and provide new information.

Construction and Application of Comprehensive Nursing Information Service Platform Based on Internet of Things Technology.

This study illustrates the construction and application of comprehensive nursing information service platform based on Internet of Things technology. An Internet-based cardiovascular care management platform, convenient before and after platform application, was constructed; 42 patients with cardiovascular disease were selected as the control group and observation group and 33 nurses participated in the same group, and the intervention lasted for 4 months. The control group received routine admission nursing, and the follow-up nursing nurses received traditional face-to-face teaching, training in the form of assessment. The observation group with the help of the cardiovascular specialist nursing management platform, during the whole process of nursing, nurses also manage patients and receive training through the platform. Experiments show the following: As a result, after the application of the platform, the satisfaction rate of nurses and patients on the platform was high, both reaching more than 92%. After the application of the platform, the scores of various nursing indicators were significantly higher than those before application (all P < 0.01). The construction of a cardiovascular specialist nursing management platform based on IoT technology integrates multiple modules on the medical and patient ends, which not only improves the level of nursing management but also improves the satisfaction of nurses and patients and, at the same time, helps to improve the self-value of nurses.

Research on the Influence Mechanism of Enterprises' Participation in School Enterprise Cooperation Based on the Analysis Framework of Theory of Planned Behavior.

School enterprise cooperation, as the basic school running form of applied undergraduate education, is an important way to cultivate applied talents. However, at present, the lack of motivation for enterprises to participate in school enterprise cooperation and the resulting problem of “school hot and enterprise cold” seriously limit the talent training quality in China’s application-oriented universities. There is an urgent need to explore the influencing factors and mechanisms of enterprises’ participation in school enterprise cooperation to improve the training quality of applied talents. Taking Ajzen (2002) Theory of Planned Behavior as the theoretical framework, this study constructs the influencing factor model of enterprise participation in school enterprise cooperation from four aspects, namely, behavior attitude, subjective norms, perceived behavior control, and behavior intention. In this study, participants (N = 250) completed a questionnaire assessing their participation in school enterprise cooperation, which was analyzed by a structural equation model. The results show that the behavior attitude and perceived behavior control of enterprises have a significant positive impact on their intention to participate in school enterprise cooperation and then have a significant positive impact on the school enterprise cooperation behavior of enterprises. The behavior intention and perceived behavior control of enterprises have a significant positive impact on their participation in school enterprise cooperation. The policy environment has a significant regulatory effect on the relationship between the intention and behavior of enterprises’ participation in school enterprise cooperation. Therefore, from the perspective of enhancing the intention of enterprises to cooperate, colleges and universities should establish the awareness of win-win cooperation and meet the interest demands of enterprises in school enterprise cooperation in order to improve the behavior attitude and intention of enterprises. From the perspective of the formation conditions of school enterprise cooperation, with the help of industry associations, an information service platform for school enterprise cooperation should be built in order to eliminate the information islands between enterprises and universities. From the perspective of the needs of school enterprise cooperation environment, government departments should strengthen the policy support for school enterprise cooperation in order to eliminate the worries of enterprises’ participation in school enterprise cooperation.

Research on Big Data Traffic Operation Based on Intelligent Holographic 3D Image Vision

Aiming at the needs of refined and visualized management of transportation infrastructure, the 3D hologram acquisition technology integrating 3D laser scanning, tilt photogrammetry, and other technologies are used to acquire and integrate the 3D scene data of transportation infrastructure through indoor and outdoor and air and ground integration and build a 3D hologram spatial model that comprehensively reflects the three-dimensional information of transportation infrastructure. The technical solution for the acquisition, integration, and management of transport infrastructure data is formed. Through research and practice, it can be proved that the integrated indoor and outdoor 3D hologram data technology of transportation infrastructure can explore the technical basis for the comprehensive construction of 3D hologram data of transportation infrastructure and can effectively expand the data content of the transportation geographic information service platform and provide stronger technical support for the province's transportation industry management, operation monitoring, emergency disposal, and public services.

Influence of Management Efficiency of Sports Equipment in Colleges and Universities Based on the Intelligent Optimization Method

China has always considered the improvement of youth physical quality as one of the key steps in the talent training program, and universities have always followed the national policy to change the quantity and quality of sports equipment. This study mainly focuses on the development of sports equipment management system in colleges and universities. By building a scientific sports equipment management system, the efficiency of sports equipment management process is improved and the difficulty of managers’ work is reduced. The construction of the sports equipment management system is a comprehensive information service platform created specifically for sports administrators. The main function is to help sports equipment administrators obtain information on equipment management, and it is an electronic system that can obtain the status of sports equipment use through certain instructions, providing an example for sports equipment management in China’s universities.

AI-Based Secure Construction of University Information Services Platform

The service efficiency of the university information services platform directly affects the efficiency of university management. However, the university has rich data resources and complex management, and how to construct a comprehensive, standardized, efficient, and shared university information services platform has become a research hotspot. In recent years, the progress of artificial intelligence (AI) in many aspects has created opportunities for its large-scale application in smart campuses. With the wide penetration of AI technology into all walks of life, especially in the fields of industry, commerce, finance, security, and so on, some technologies have experienced practical tests. Many scholars have discussed the significance and possibility of the application of AI in the field of education from a theoretical level. The university’s secure information services platform can penetrate into all details of university management. Therefore, this paper studies the construction of a university secure information services platform based on AI, taking the dormitory allocation of freshmen and the face recognition of each building as the entry points. First, the beetle antennae search algorithm was introduced to improve the clustering efficiency and accuracy of the K-means algorithm for intelligent dormitory allocation. Then, the improved variational auto encoder-generative adversarial networks (VAE-GAN) model and convolutional neural networks (CNN)-based face recognition algorithm are proposed to enhance the security of building entry in universities. Finally, the simulation results reveal that the proposed two algorithms improve the clustering efficiency in dormitory allocation and the security of the university in the basic construction of the university information services platform, respectively.