Service System Model Research Articles

Research on Ai Technology of Intelligent Information Visualization Based on Rtos System Service

In order to improve the visual interaction ability of intelligent information, an intelligent information visualization artificial intelligence technology based on RTOS system service is proposed in this paper. Based on embedded integrated control, this paper constructs the system design scheme, client and host system of intelligent information visualization artificial intelligence RTOS service system. The information monitoring module, artificial intelligence programmable logic control module, artificial intelligence processing module and human-computer interaction module of intelligent information visualization artificial intelligence RTOS service system are established to realize the label identification and identification in the process of intelligent information visualization artificial intelligence RTOS service system based on unified resource locator sipur, The communication system model of intelligent information visualization artificial intelligence RTOS service system under the transmission mode of multimedia communication channel is established to realize the automatic information processing of intelligent information visualization RTOS system. The test results show that the design has good stability, strong intelligent information visualization and interaction ability, low memory and time cost.

Identification and evaluation of the evolution stage of the agricultural machinery industry cluster in Shandong Province

AbstractAgricultural machinery industry clusters have great potential to solve key technological problems in China, and it is crucial to accurately identify the stage of cluster evolution. Based on the location entropy method, this paper finds that the location quotient coefficient is greater than 1.2 and the average annual growth rate is 1.11%, which indicates that the agricultural machinery industry in Shandong Province has a high degree of agglomeration, but the agglomeration speed is slow. Using the Groundings agglomeration—Economic network—Social network—Service system model, it is found that the agricultural machinery industry cluster in Shandong province is in the growth stage, in which the service system has the most significant influence on its development level. The weights of service system, social network, economic network, and basic resource aggregation derived from the Analytic Hierarchy Process model are 0.410, 0.321, 0.151, and 0.118, respectively, where agglomeration degree of the agricultural machinery industry, raw material production of agricultural machinery enterprises, exchange of tacit knowledge and intermediary service level are the four indicators with the greatest weights in the influences on sustainable development of the agricultural machinery industry. Because of the strong fuzzy nature between the indicators, this paper applies the Fuzzy Comprehensive Evaluation method to quantify the stage of evolution of Shandong Province's agricultural machinery industry cluster.

Определение понятия «дети раннего возраста, нуждающиеся в социальном обслуживании» в науке и в законе

In this article, the author relies on the provisions of Federal Law № 442-FZ “On the fundamentals of social services for citizens in the Russian Federation” and the theoretical model of the social service system proposed by V.Sh. Shaikhatdinov. Taking into account the ever-increasing need for social services for children from birth to the age of three and the lack of definition of the concept of “infants in need of social services”, it is proposed to define this phenomenon and include it in the list of groups of recipients of social services in the subsystem of social service subjects.

МОДЕЛЬ И МЕТОДИКА ИССЛЕДОВАНИЯ СКВОЗНОГО БИЗНЕС-ПРОЦЕССА В ТАМОЖЕННОЙ ЭКОСИСТЕМЕ

This article provides a detailed examination of the operations occurring in the customs system aimed at conducting documentary and actual customs control. The average volume of loads processed by a particular element of the customs ecosystem, as well as the average time spent by a declaration at each stage of customs clearance, were calculated, the main parameters reflecting the productivity of the subsystem elements were determined, and a model of a multi-channel mass service system was built to determine the average time spent by a declaration of goods in various subsystems (customs offices, customs offices of direct subordination, regional customs administrations).

Estimation of timing characteristics in real-time computer systems using Petri nets

The work is devoted to the problem of determining the time characteristics of tasks in real-time systems, the success of which depends not only on their logical correctness, but also on the time for which they receive the result. Determining such time characteristics of the system at the design stage is a rather difficult problem. Its solution is currently based on the use of two main methods: theoretical calculations related to the calculation of the so-called feasibility criteria and modeling of the system's operation on models. Among the models, statistical models of mass service systems are the most widespread. However, in both the first and second options, it is impossible to obtain a guaranteed result, which significantly complicates the design process. Recently, it has been proposed to use the methods of researching models based on the use of the Petri net apparatus. The paper proposes a method for estimating the time characteristics of tasks in real-time systems by means of data analysis. Obtained by modeling the distribution of processor time between tasks according to the selected algorithms of the scheduler by using a model of the software system in the form of a Petri net. The paper proposes a method for estimating the time characteristics of tasks in real-time systems by means of data analysis. Obtained by modeling the distribution of processor time between tasks according to the selected algorithms of the scheduler by using a model of the software system in the form of a Petri net. The method guarantees obtaining the time characteristics of the tasks when choosing specific types of processor and scheduler, which is required to start the technical design of the real-time system. The use of the proposed mathematical model and a package of application programs allow, at the early stages of the development of a real-time system, to determine the real terms of tasks and choose the optimal option for the implementation of technical and lost support. The proposed mathematical models are based on determining the time characteristics of program execution by modeling the distribution of processor time between tasks, subject to the prior selection of planning algorithms and the characteristics of a complex of technical means. The research is based on the use of simulated statistical models and Petri net models, The use of the proposed tools allows you to significantly reduce the time of analysis of possible options for real-time system implementation, increases the quality of the project and significantly reduces the overall time and cost of the entire development. The paper examines in detail the process of modeling a multitasking computer system using a Petri net device. A concrete example shows the simulation of the operation of a complex of programs, including the development of simulation algorithms, the listing of the simulation program, and the analysis of the obtained results.

A single server retrial queue with event-dependent arrival rates

In this work, we consider a novel single-server retrial queue with event-dependent arrival rates. Contrary to other related works, the primary customers’ arrival rates depend on the last realized event, which refers either to a departure, or to an arrival of either type, or to when a customer arrives during a busy period, compared with others. Our motivation stems from the modeling of service systems, in which the customers express their willingness to join the system based on the last realized event. We investigate the stability conditions, and derive the stationary distribution both at service completion epochs, and at an arbitrary epoch. We also study the asymptotic behaviour under high rate of retrials. Performance measures are explicitly derived, and extensive numerical examples are performed to investigate the impact of event-dependency. Moreover, constrained optimisation problems are formulated and solved with ultimate goal to derive optimal joining probabilities.

Determining the Sustainable Development Strategies and Adoption Paths for Public Bike-Sharing Service Systems (PBSSSs) under Various Users’ Considerations

Public bike-sharing service systems (PBSSSs) offer an alternative to satisfy users’ needs for short-trip connections. The PBSSSs provide options for short-trip connections and diversify the service experience for different users. PBSSSs also play a critical role in enabling urban citizens to reduce the needs to drive their cars and using public transport instead. This study explores the service performance of the public bike-sharing service systems for three styles of users. It proposes the integrated evaluation model of the public bike-sharing service system (PBSSS). The DEMATEL (Decision Making Trial and Evaluation Laboratory) was used to solve the network relation structure between aspects. The ANP (analytic network process) was applied to evaluate the relationship between aspects and component weights. VIKOR (Vlsekriterijumska Optimizacija I Kompromisno Resenje) was used to analyze the public bike-sharing system’s service performance for different users regarding its strengths and weaknesses. After comparing the strengths and weaknesses of the various users’ preferences for the urban public bike service systems, the study proposes a service development strategy for different styles of users based on the NRM (network relation map). The results can aid PBSSS providers and urban managers, strengthen the PBSSSs’ competitiveness, and make the PBSSSs become the best urban short-trip connection transportation tool.

Principles of developing a limited-queue mass service system on the .NET platform

The paper is the result of the thorough research aimed at studying the principles of creation, modeling and practical use of queue-limited mass service systems (MSS) based on the .NET technology platform and implemented using the C# programming language. In the course of the paper, special attention is paid to both single-channel and multi-channel systems. In the introductory part of the article the fundamental concepts of the theory of mass service are considered. The basic characteristics of systems, such as fixed queue length systems, single-channel and multi-channel systems with probability of service failure, systems with unlimited and limited wait times, closed systems, and multi-channel systems with channel-to-channel interaction, are discussed. Detailed examples of C# code are presented to illustrate the class structures used to model both single-channel and multi-channel MSS. Specific scenarios for the use of the presented structures within the framework of MSS modeling are considered. The paper highlights the practical application of mass service systems in solving real-world problems. Using examples from banking and traffic management in telecommunications, it is demonstrated how MSS can contribute to optimizing waiting times and efficient resource management. Prospects for further research in the field of mass service systems are suggested. Given the importance of MSS in various industries such as banking, telecommunications, logistics and many others, the high relevance of the topic is due to the need to find new approaches and methods to improve the efficiency and optimization of these systems. In general, the article is a valuable research material for specialists involved in modeling and practical application of mass service systems.

Optimization configuration model and application of product service system based on low-carbon design

Most PSS configuration models only consider the value proposition of customers and PSS providers, while little attention has been paid to the value proposition of the environment. In this paper, a novel optimization model of PSS configuration is proposed based on low-carbon design. A new method for calculating the carbon footprint of the product modules and service modules in PSS is proposed. A new greenhouse gas (GHG)-PSS structure tree (G-PS3T) is established based on a bill of materials and a PSS structure tree (PS3T) to express the carbon footprint of a PSS. A novel optimization model for PSS configuration with customer satisfaction, profit, and carbon footprint as the optimization objectives is proposed, and a solver method based on the non-dominated sorted genetic algorithm-II (NSGA-II) is established to obtain the optimal configuration solutions for PSS modules. An automated guided vehicle (AGV)-PSS (AGV-PSS) configuration of enterprise A suggests that the proposed PSS configuration optimization model can significantly reduce the average carbon emissions by 32.33 %. The configuration model and optimization method proposed in this paper are effective to obtain low-carbon PSS schemes that satisfy the value proposition of multi-stakeholders in the early design stage.

The stability of Petri net model for the COVID-19 patient service system

The stability of Petri net model for the COVID-19 patient service system

Web service system model for ecological and economic monitoring under urbanization

Today, most of the world's population lives in cities and towns. Therefore, the determining factors that affect the quality of life of people are the level of economic development of cities and the state of ecology of cities and adjacent territories. To conduct research and build models of ecological and economic monitoring and forecasting the development of cities and the state of ecology, it is necessary to collect, process and analyze huge amounts of various data. Based on the results of such studies, there is a need to build computer systems for collecting and processing significant amounts of information - databases and data repositories, which have practically no analogues today. The main task of this work is to develop an alpha version of the web service for environmental and economic monitoring of databases. At the stage of development of the alpha version of the software product, the main economic indicators regarding the development of the city and environmental factors that affect it were worked out and grouped. The author has modeled a software model for individual services of ecological and economic monitoring, which are part of the future applied software product. In the future, the author plans to continue research on this topic, collecting empirical data on the cities selected for study, and to develop further software and hardware modules of the presented web service.

RESEARCH OF THE SEA PASSENGER PORT INFRASTRUCTURE MODERNIZATION TO SOLVE THE PROBLEM OF FORECASTING DEVELOPMENT, TAKING INTO ACCOUNT THE INFLUENCE OF THE EXTERNAL ENVIRONMENT

The efficiency of operation and interaction of “sea ferry/cruise company-sea passenger port-land transport infrastructure” systems directly depends on the dynamic influence of the external environment, which today determines the transition from deterministic models of decision-making to probabilistic ones. These changes on the basis of current trends in the industry in the form of the introduction of large cruise and ferry ships create the need to form a decision- making system for the reasonable modernization of infrastructure for the heads of ports and terminals. It is necessary to systematically modernize both the berthing infrastructure and change the internal processes of passenger handling in the terminal. The problems of forecasting the development of seaports in connection with the gradual recovery of passenger traffic, caused by a long period of restrictions due to COVID-19, are considered in the paper, as the first priority is the resumption of the route networks of the sea regions, which provide local passenger mobility. Based on the investigated models of ports and terminals evolution (Anyport model, Three Generations model, Workport model) it is revealed that today it is necessary to evaluate possible predictive scenarios of port development. The necessity of having the tools allowing to operatively analyze the situation in the sphere of sea ferry transportation and to model the scenarios of port congestion has been revealed and proved. The approach to estimate the variants of berths loading at simultaneous call of several big cruise vessels on the basis of models of mass service systems for subsequent estimation of infrastructure is considered in the paper. The object of the research is the Baltic Sea region and existing routes of cruise and ferry lines. A new theoretical partitioning of the region and sea passenger ports into four sections is proposed. The systematic analysis of all existing cruise and ferry line routes in each area has been carried out; data on cruise and ferry ship size, passenger capacity, average ticket price, and distance between terminals on the route have been presented. On the basis of the formed approach a new digital dynamic route map that allows both to investigate the current state of the route network and to estimate the possible changes is built. On the basis of the received data it is proved that the best development of passenger sea ports and terminals infrastructure is observed in the segment between the countries of Russia-Estonia-Finland-Sweden. Presented sea terminals have successfully realized the possibility of simultaneous reception of two big cruise vessels and modernized infrastructure during the period of restrictions on the reason of COVID-19, which corresponds to the formation of new points of growth in the Baltic Sea region, taking into account recovery of route networks. The generated big data on route networks accurately define the current state in the sphere of sea ferry/cruise transportation and they should be used in new digital simulation transport models when modeling different variants of sea passenger port operation, both at the stage of short-term planning and when solving the group of questions of development forecasting, which is especially relevant in the situation of competition between terminals for passenger traffic.

On Convergence of Multidimensional Workload with Dominant Service Duration to a Stable Process

A service system model introduced by I. Kai and M. S. Takku is considered. A limit theorem on the convergence of finite-dimensional distributions of the total workload process with multidimensional resource to the corresponding distributions of multivariate stable process is proved. The situation is considered when the service durations prevails over the values of multidimensional resources.

The Impact of Managers’ Environmental Cognition on Urban Public Service Innovation from the Perspective of Green Ecology

With the continuous improvement in urban managers' cognition of green ecology, it is a hot issue in current research to explore the role of managers' cognition on urban public service innovation from the perspective of green ecology. The main purpose of this study was to explore ways to build green ecological cities and provide high-quality urban public services based on managers' environmental cognition. Through sorting out and discriminating the concepts related to green ecology, this research improves the current theoretical system related to green ecological city services. A theoretical model of a green ecological city public service system was constructed, and its influence path and effect on green ecological city public service innovation were analyzed in detail. This research provides a good tool and method for follow-up research to better understand the composition and innovation of green ecological city public service systems.

Manufacturing operations as services by robots with skills

Abstract This work considers flexible manufacturing operations based on reconfigurable robotic skills and their usage in fully automated service manufacturing. In agile and ultra-flexible manufacturing operations, where lot sizes go down to one, the setup and execution of new tasks must be instant. We extend service manufacturing towards applications of multi-purpose autonomous mobile robots. We take digital data and service-oriented approach to configure and utilize re-usable robot operations formulated as robot skills. We integrate service requests, and system and robot skill models for an easily executable manufacturing service system. We show the feasibility of our approach by experimental tests with merged indoor logistics, assembly, and finishing tasks.

Trusted Cloud Service System Based on Block Chain Technology

With the development and popularization of cloud computing technology, more and more users choose cloud services to build their application systems. With the improvement of users’ understanding of software systems, in addition to functionality, trustworthiness has become another key issue concerned by users. Based on the existing research on cloud service trustworthiness measurement and evaluation, this paper proposes a cloud service-trusted delivery model based on asymmetric encryption and hash function and a trusted runtime model of cloud service system based on block chain technology. The proposed models will effectively solve the untrusted problems such as denial and tampering in the process of cloud service acquisition, as well as the system anomaly at runtime. Finally, through targeted experiments to verify the effectiveness and feasibility of the proposed models, and through experimental analysis, this paper expounds on the principle and mechanism of model operation and trustworthiness guarantee.

Research on the Construction of Modern Medical Information Service Model under the Background of Artificial Intelligence

In the era of the Internet, artificial intelligence (AI) and other emerging technologies leading the industrial revolution, on the basis of comprehensive analysis of modern medical information services and analysis of the content of some hospital websites, from the perspective of the public, the expert scoring method is applied to establish medical information on hospital websites. Service comprehensive evaluation index system, at the same time quantification and assignment of indicators, combined with the theoretical research platform of information service quality. The comprehensive evaluation model of the medical information service function and quality of the hospital website was constructed by the comprehensive scoring method, and an empirical study was carried out. After comparing the data results of the model simulation with the actual data, it can be seen that the deviation between the actual data and the simulated data is not significant, that is, between 0.12% and 15.93%, which is within a reasonable range. Therefore, we have reason to believe that the model is an effective and reasonable use of the system dynamics method. On the basis of previous theoretical research and historical yearbook data, plus innovative theoretical assumptions, the Internet+healthcare embedded in the Internet+healthcare is constructed. The model of the traditional medical information service system can help clarify the role of Internet+health and medical information service in the overall medical information service system.

Improving online Real Estate Management System using data analytics

As technology advances, every industrial sector has continued to innovate and scale. Several property technologies have fast-tracked nominal developments and accelerated growth in the Real Estate market. Real Estate markets in developing countries have endured challenges and issues emanating from various areas such as management, trust, sales, and infotech, many more. This paper aims to implement a model of the online Real Estate Service system via a responsive web application using data analytics and visualization techniques that show insights and improve decision making based on user data. This implementation includes backend clustering and Regression algorithms to produce insights based on available test data of over 62 PropTech firms in Nigeria, thus helping clients, managers, and agents make critical decisions to accelerate organizational growth. The model was developed by analyzing the impact of data growth in the online Real Estate service system, hinging on the study of earlier literature and data from over 7000 PropTech firms. The research adopted a questionnaire and validation method to understand the main domains to focus on, including property search, Agent trustworthiness, and capabilities. The findings presented here include use cases of the application that provides comprehensive solutions with the system feature providing solutions for deeper property search, minimizing the danger of being scammed and making it easier to acquire properties with specific criteria and to easily contact verified agent based on individual needs of the client and agents track record. Test findings reveal that more data introduced to the system will make it more efficient since the threshold of each level adapts based on data inputted in a dynamic cluster.

METODE BAYESIAN PADA SISTEM ANTREAN PELAYANAN MENGGUNAKAN GUI R (Studi Kasus: Antrean Pelayanan di Kantor Dinas Kependudukan dan Pencatatan Sipil Kota Semarang)

The increase population of Semarang City has given many kinds of problem from births, deaths, marriages and other important events. The change of population identity data causes the number of visitors to the Semarang City Dispendukcapil to increase so that the service system becomes busy. The study aims to determine whether the service system in the Dispendukcapil is good or not. This can be known by determining the distribution of arrival patterns and service patterns to obtain a queuing system model and system performance measures. In this study, the distribution of arrival patterns and service patterns is determined by finding the posterior distribution using the Bayesian method. The Bayesian method was chosen because it is able to combine the distribution of the sample in the current study with previous information for the same case. Posterior distribution can be obtained if it has elements, namely prior distribution and likelihood function. The distribution of arrival patterns and service patterns obtained from prior information, follows the Discrete Uniform and Log-Normal distribution. Based on the calculation and analysis of the posterior distribution, the service system model of the Dispendukcapil Semarang City is obtained, namely for the Customer Service counter, and for the legalization counter and the population document service counter with a good service system.Keywords:Population, Dispendukcapil Semarang City, queue, Bayesian, prior distribution, posterior distribution, queuing system model, Beta, Gamma, Inverse Gamma.

Model Construction of Urban Public Sports Service System under the Background of Information Technology

The planning and construction of urban public sports are an indispensable guarantee condition for implementing the national fitness plan, further improving the national physique and health status and improving the overall quality of the Chinese nation. With the improvement of Internet technology and various information technologies, urban public sports still publish service information such as consultation and competition through traditional information channels. The distribution channel is relatively single, the degree of informatization is not high, and the level of consulting service is low. In this paper, the model construction of urban public sports service system is studied under the background of information technology. During the period of frequency 30-40, on average, 26.8% of urban residents have participated in various sports training services; during the period of frequency 50-60, 28.6% have received professional fitness guidance services; and during the period of frequency 70-80, 27.5% have participated in professional exercise planning services. Through the model of urban public sports service system built under the background of information technology, the spread range is expanded, and the fixed participants are gradually formed. In this respect, we also enjoy the “technology dividend” of the popularity of network information technology and smart phones, which makes online booking service easier for the audience to use. We should pay attention to the diversified development of public sports service subjects, provide diversified public sports services, actively understand public sports demand, and penetrate the residents’ demand expression mechanism, so as to promote the public sports service system to form a structural state of benign interaction, joint participation, and dynamic communication.