Information Service Level Research Articles

Design and simulation of electronic communication positioning system based on Internet of Things technology

As electronic information technology continuously develops, it has gradually been applied to various industries and plays a vital role in the Internet of Things (IoT). The electronic communication positioning system is an interrelated aggregate or component composed of combining electronic science and technology with information science and technology to determine the spatial position. The current electronic communication positioning system has low positioning accuracy in indoor environments and is easily affected by obstacles such as building structures and walls, making it difficult to achieve accurate positioning. This paper integrated the IoT technology into the design and simulation experiment of the electronic communication system, aiming to improve the stability and accuracy of the positioning system and improve the quality of the location information service in the current stage of the market. This paper first introduced the architecture of the IoT, including RFID technology analysis and ZigBee technology analysis. Then it studied the classification of common positioning algorithms, and finally conducted a simulation test on the electronic communication positioning system based on the IoT technology in the experimental part. Compared with the traditional electronic communication positioning system, the tested results show that the minimum error of the electronic communication positioning system based on the IoT technology can reach 0.102. The maximum time accuracy can reach 95.34%, proving its effectiveness. In practical application, its error and time accuracy can achieve the required level of location information service. This article provided a brief explanation of the application of electronic information technology in the IoT system to assist in the further development of the IoT.

Current status of electronic health literacy among pregnant women with gestational diabetes mellitus and their perceptions of online health information: a mixed-methods study

BackgroundWomen diagnosed with gestational diabetes mellitus often rely on internet-based health information for managing their condition. This study aims to investigate the present state of electronic health literacy among women with gestational diabetes mellitus, analyze the influencing factors, and explore their experiences regarding accessing, comprehending, evaluating, and applying online health information pertinent to gestational diabetes mellitus.MethodsA sequential explanatory mixed methods research design was adopted in this study. Initially, 235 women with gestational diabetes mellitus participated in a cross-sectional survey. The research tools included general information and the Chinese version of the electronic Health Literacy Scale (eHEALS). Descriptive analyses were conducted to describe the characteristics of the sample, and multiple linear regression analyses were used to explore the factors influencing electronic health literacy among women with gestational diabetes mellitus. Secondly, 11 women with gestational diabetes mellitus joined semi-structured in-depth interviews to obtain their perceptions about online health information. The data were analyzed using inductive content analysis to develop themes.ResultsThe median score of eHEALS in the Chinese version among 235 women diagnosed with gestational diabetes mellitus was 29 (interquartile range [IQR], 26 to 32). Factors influencing electronic health literacy among these women included accessing health information from medical professionals (β = 0.137, p = 0.029) and utilizing health information from applications (β = 0.159, p = 0.013). From the qualitative phase of the study, four thematic categories emerged: reasons and basis for accessing health information from the Internet; address barriers to accessing and applying online health information; desires for a higher level of online health information services; outcomes of accessing and applying online health information.ConclusionThe electronic health literacy of women diagnosed with gestational diabetes mellitus remains suboptimal and warrants improvement. The sources of access to health information affect electronic health literacy in women with gestational diabetes mellitus. Moreover, women facing gestational diabetes encounter numerous impediments when attempting to access health-related information online, underscoring the necessity for enhanced online health information services to meet their needs.

The level of digital competencies for the provision of smart information service at academic libraries in Jordan

PurposeTechnological advancement has forced academic libraries to change their traditional services and routines by adopting emerging technologies to respond to the changing information needs of their users who are now more technologically inclined and prefer to access information remotely and in a timely manner. Smart technologies are the recent trends in academic libraries. This research aims to investigate the level of smart information service implementation at academic libraries in Jordan. It also aimed to investigate the correlation between the level of smart information services offered by the libraries and the level of digital competencies among the library staff.Design/methodology/approachThis research is designed using survey design to collect comprehensive information from the study participants. A questionnaire was disseminated to 340 respondents, and 246 questionnaires were returned and were suitable for analysis with a response rate of 72.4%.FindingsThe results indicated a moderate level of smart information service offered by academic libraries, as well as a moderate level of digital skills associated with the advocacy of smart information services. The results also indicated a strong and positive relationship between the level of smart information services at the investigated libraries and the level of digital competencies among the librarians.Practical implicationsThe findings will help other academic libraries understand how to respond to the emergent change in users’ information-seeking behavior by understanding their available human resources competencies and the requirement to undergo this emergent change.Originality/valueThis paper provides insights and practical solutions for academic libraries in response to global information trends based on users’ behaviors. This research was conducted in Jordan as one of the developing countries and hence it provides insights of the situation there. It will help academic libraries in Jordan and the region to handle and cope with the challenges associated with technology acceptance based on its staff level of digital competencies. The contribution of this research that it was done in a developing country where progress in the filed can be considered slow because of many factors, mainly economics, where institutions focus on essential library objectives, which are information resources development and databases subscriptions.

Pendekatan Melalui Evolusi Konteks Relasi Media Sebagai Lensa Media Sosial Dalam 'Business Budgeting on the Method Perspective'

The social context in social media is determined by 'Business Budgeting on the Method Perspective' study of identifying problems at the level of social information services, through cost budgeting efforts in the context of rising inflation and elements of geopolitical instability manifested by buying and selling recession and social insecurity, especially for low-income residents. The purpose of this finding is to identify the problems of the current situation affecting the social status of citizens and the prospects for exploiting the costs of their evolution by introducing a quality index of social needs based on statistical and econometric forecasting methods. The alternative perspective method used is empirical, represented by special literature studies, data analytics, database consolidation, econometric modelling, prospective analysis, and economic forecasting. This social conceptualization in making rational discussions is determined by the degree of social security issues, prevention efforts in the context of creating inflation and elements of geo-political instability manifested by recession and social vulnerability, especially for residents with micro-regions. This study aims to identify the actual situation affecting the social status and the perspective of its evolution as an asset by introducing a social security index based on statistical and econometric prediction methods. This method uses natural experiences that represent specific literature studies and natural analysis, each of which 'business budgeting on the method perspective' consolidates the field of scholarly dates, field models of econometrics, prospective analysis and previous economics.

The Importance of Developing Online Counseling Services for Family Planning Programs in Indonesia

One of the reasons for the high of contraceptive acceptors drop out is the low number of contraceptive information received by clients. Indonesian Population Demographic Survey in 2017 stated that only 29% of women in Indonesia received contraceptive information including contraceptive side effects, how to deal with side effects, and alternative contraception that can be used. This is due to a limited number of family planning instructors, and a large number of tasks that health workers must carry out, especially midwives as the largest source of contraceptive services in Indonesia. The solution to overcome the low level of contraceptive information services is to build an online counseling service for family planning programs. Online counseling services based on digital technology are flexible and can be accessed by anyone who needs information. For this reason, this technology must be built on an evidence-based basis and a good reputation, so it is hoped that in addition to meeting the need for family planning information, it is also able to change behavior for the use of appropriate contraception.

Intelligent Analysis of Exercise Health Big Data Based on Deep Convolutional Neural Network.

In this paper, the algorithm of the deep convolutional neural network is used to conduct in-depth research and analysis of sports health big data, and an intelligent analysis system is designed for the practical process. A convolutional neural network is one of the most popular methods of deep learning today. The convolutional neural network has the feature of local perception, which allows a complete image to be divided into several small parts, by learning the characteristic features of each local part and then merging the local information at the high level to get the full representation information. In this paper, we first apply a convolutional neural network for four classifications of brainwave data and analyze the accuracy and recall of the model. The model is then further optimized to improve its accuracy and is compared with other models to confirm its effectiveness. A demonstration platform of emotional fatigue detection with multimodal data feature fusion was established to realize data acquisition, emotional fatigue detection, and emotion feedback functions. The emotional fatigue detection platform was tested to verify that the proposed model can be used for time-series data feature learning. According to the platform requirement analysis and detailed functional design, the development of each functional module of the platform was completed and system testing was conducted. The big data platform constructed in this study can meet the basic needs of health monitoring for data analysis, which is conducive to the formation of a good situation of orderly and effective interaction among multiple subjects, thus improving the information service level of health monitoring and promoting comprehensive health development.

Application of Deep Learning in Land Use Classification for Soil Erosion Using Remote Sensing

China is suffering from serious soil and water loss due to improper land use, leading to flood and drought disasters, and industrial and agricultural reduction. The commonly used monitoring methods of soil and water loss rely on the visual interpretation of remote sensing images, which is time-consuming and laborious. In this study, deep learning semantic segmentation technology was applied to monitoring land use for soil and water conservation. Manual visual interpretation mark samples and land use products collected in recent years were combined to construct training samples for deep learning. Deep convolution neural network model based on ResNet152 and DeeplabV3+ was selected for performing land use classification. Then the soil and water loss were quantified using the Chinese Soil Loss Equation (CSLE) based on the hydrological, geographic, vegetation cover and land use information. The experimental results show that the deep learning model can quickly extract robust edge features from remote sensing images and has high pixel accuracy (83.4%). Although the model accuracy was affected by the land cover types and image quality in different study area, it can still achieve an accuracy higher than 70% in other counties through our experiment. It can further improve the information service level of soil and water conservation product, and provide a useful guideline for automatic land use interpretation and identification of soil and water conservation status based on high resolution remote sensing images.

The information and communication technologies in the learning process of students in the context of cognitive development

The main purpose of the research is to analyze information and communication technologies in the process of teaching students in the context of cognitive development. Every year the issue of ensuring an appropriate level of information services for the educational process becomes more and more urgent. Expanding the influence of information and communication technologies on the learning system is an ongoing and ongoing process. Information and communication technologies are a set of methods, tools and techniques used for the selection, processing, storage, presentation, transmission of various data and materials necessary to improve the efficiency of various activities. The result of our research is to identify the main aspects of information and communication technologies in the process of teaching students in the context of cognitive development.

An analysis of university students' health information service needs from academic library in the post-COVID-19 age through Kano model

PurposeThe study aims to find out the university students' health information service needs in post-COVID-19 age and then consider how to do the health information services well and promote it in further work.Design/methodology/approachThis study uses Kano model to design a questionnaire about university students' health information service needs from academic library and investigates 243 students from seven universities in China. The data generated were analyzed using a statistical tool and presented in tables.FindingsThe results show the students' different requirements level of health information services from academic library as must-be requirements, one-dimensional requirements, attractive quality attributes and indifferent quality in post-COVID-19 age.Research limitations/implicationsThe questionnaire design and the scale of respondents have limitation, such as only focus on Chinese university, have not characteristically research on different group of students. It could optimize to cover more worldwide university students and refer to different groups of students' needs in further research.Originality/valueThe paper expands and deepens the theory about university library health information service and provides a practical reference and proposes some suggestions for academic libraries on how to carry out health information services and give the social health institutions inspiration on how to promote the health services, especially in post-COVID-19 age.

University online education file management under the background of big data

With the rapid development of computer communication technology, the level of archives information services in colleges and universities continues to improve. More and more universities have created archives management halls to promote digital archives services in depth. As an important part of information resources, the development and use of archive information resources have also attracted the attention of all walks of life. University archives are the pioneers in the development of archives in my country, and their computerization level will directly affect the development and utilization of information resources in my country’s archives. This article aims to analyze the management of online education archives in colleges and universities under the background of big data, analyze the management of online education archives in colleges and universities, and explore the management of archives under the background of online education in colleges and universities. Use the university network archives construction evaluation model calculation and investigation research method to study the current situation and mode of university network education archives management, and provide reference value for the rational connection of various tasks of university network education archives management under the background of big data. The experimental results of this article show that 55% of college students believe that the current college archives need to be combined with the requirements of the development of the times, and it is necessary to innovate the archive management methods of colleges and universities to improve the quality of archive management services in universities and ensure the real-time storage of network information and maximize the development of archive information the value of.

Evolving a bi-objective optimization model for an after sales supply chain in presence of information asymmetry and service level requirement

PurposeOptimization of resources related to man, money, manpower and those related to organization is critical in context of after-sales supply chains. Many times, organizational objectives in terms of resource optimization and providing superior customer experience might be conflicting, however.Design/methodology/approachOne such instance is when customers expect near 100% service level in which case the organizational costs to meet such high service level goes up significantly. To this end, in this research a novel bi-objective optimization model has been evolved for a typical after-sales service supply chain network constituted of the manufacturer, the retailer and the customer. The first objective function pertains to maximization of the manufacturer's and the retailer's profit. The second objective function is related to the minimization of tardiness of order fulfilment (by the retailer) for the customer.FindingsEmploying a small problem instance, the authors generate a number of findings related to service level and information asymmetry. In particular, the authors observe that achieving best possible manufacturer-retailer profit and at the same time 100% service level is a mathematical impossibility. Furthermore, reducing information asymmetry between the customer and the retailer (as opposed to reducing information asymmetry between the retailer and the manufacturer) actually yields higher profits for the manufacturer-retailer pair.Originality/valueThis research describes the mathematical structure of a three-tier after-sales supply chain wherein information quality and service level requirements are key constraints. Furthermore, the study evolves the bi-objective optimization model as a formulation that can drive the operational decisions of manufacturers and retailers who are part of such after-sales service supply chains.

Study on the Circulation of Agricultural Products Based on Cloud Computing from the Perspective of Rural Revitalization Strategy

The construction of modern circulation system of agricultural products is an important content to promote the prosperity of rural agricultural industry and the implementation of rural revitalization strategy. In practice, the main modes of agricultural products circulation include wholesale market type, agricultural super-docking type, farmers market type and network platform type, each mode has its own advantages and disadvantages. From the perspective of the implementation of rural revitalization strategy, there are still some problems in the circulation of agricultural products at present, such as high circulation cost, facilities are backward, professional brokers is in the ascendant, the level of information service is low, fund shortage. At the same time, there are some new trends, such as high growth to high quality development, orderly circulation system of agricultural products under national macro-control, efficient, safe, healthy, green and intelligent ecological development, "pyramid" agricultural product market system with Chinese characteristics, and so on. It is necessary to speed up the circulation of agricultural products based on cloud computing from six aspects: innovative trading mode, innovative supply and demand mode, innovative distribution mode, innovative organization mode, innovative product brand and innovative operation mechanism, so as to lay the foundation for realizing the strategy of rural revitalization.

Best Practices and Lessons Learned in the Implementation of Global Framework for Climate Services—Adaptation Programme in Africa: Tanzania-Experience

This paper provides an analysis and a description of the best practices and lessons learned in the implementation of the Global Framework for Climate Services Adaptation Program in Africa (GFCS-APA) focusing on Tanzania country’s activities. GFCS-APA was the first multi-agency initiative implemented under the Global Framework for Climate Services (GFCS) in two African countries, namely Tanzania and Malawi with funding from the Royal Government of Norway. In Tanzania, the programme was implemented in two phases from the year 2014 to 2021 in the three pilot districts of Kondoa, Longido and Kiteto located in Dodoma, Arusha and Manyara regions, respectively. The overarching goal of the programme was to enable better management of the risks caused by climate variability and change at all levels, from end-users to policy level, through development and incorporation of science-based climate information and prediction services into planning, policy and practice. The programme focused on bridging the gap between providers and users of climate information and products through development of user-driven climate services for food security, health and disaster risk reduction. This paper aimed to analyze lessons learned and best practices in the course of the implementation of the GFCS-APA phase I and II in Tanzania. A qualitative approach was employed to analyze the lessons learned and best practices, by extracting them and exploring further on their contribution to the enhancement of climate services, as well as their applicability and potentiality for scaling out in other regions within Tanzania, and in other countries. The results indicate the identified best practices and lessons learned contributed significantly in enhancing climate services, particularly in understanding, availability, accessibility, utilization, ownership and sustainability of climate services among users (farmers and pastoralists) of various gender, as well as intermediaries and decision-makers. Results also indicate the lessons learned and the documented best practices could influence the effectiveness of climate services in other areas, to address existing challenges in access, uptake and sustainability of climate services. The best practices and lessons learned could be considered for integration in the future projects or operational activities in other regions within the country and other countries, particularly in the developing world, including Sub-Saharan Africa.

Exploration of campus card management from the perspective of network security

Campus card business, as an important part of the construction of the "smart campus", greatly facilitates the learning and living of teachers and students, and plays an important role in school management and decision support. Due to the large number of campus card users, many terminal devices, and large amounts of data, as well as with the applications of new technologies such as mobile payments and virtual campus cards, the tasks of the current daily management of campus card become more and more heavily. At the same time, other issues, such as network attacks, data leakage, data abuse and so on, become more and more serious. In this paper, from the perspective of network security management, we consider the physical security, system security, application security, data security, and security management. We take measures in three aspects, i. e., the campus card system planning and construction, network security protection, security operation and maintenance. Such measures effectively reduce the security risk of the card system, provide network security guarantee for the campus card system, and thereby promot the construction of "smart campus", improve work efficiency and the quality and management level of information services.

Research of Tunnel Full Band FM Broadcast Application

The paper analyzes the advantages and disadvantages of the existing information service methods in the tunnel, and proposes the use of full-band FM broadcast for emergency information release. It can also cooperate with other systems to achieve integrated information release. This achievement forwards FM signals outside the tunnel in daily situations, and uses full-band FM to implement emergency information insertion in emergency situations, which not only improves the daily information service level but also implements the function of emergency warning, and effectively improves the level of tunnel safety.

The implementation of micro-service technology in the development of geohazard online analysis and evaluation

Improving the capability of geohazard data online analysis and evaluation for geohazard prevention and mitigation is the major developing trend of geohazard information service and relevant research. Making use of the information technologies to solve the technical challenges and difficulties encountered in geohazard big data processing and analysis is important to effectively improve the capacity of geohazard information service. By using the micro-service, one of the advanced information technology, this study proposed an technical solution for the construction of geohazard data online analysis and processing service, which was designed and constructed based on the working mechanism and procedure of the analysis. As an example, the geohazard online susceptibility analysis service was designed and developed. In the proposed technical solution, the online susceptibility analysis service was splitted into multiple operational-independent and also interconnected micro-services for the completion of the analytical process. The developments of each individual micro-service provide support for further revision, upgrade and expansion of the data analysis ultimization or model optimization. The propose of the technical solution further deepens the integration of geohazard research and information technology to improve the level and practical efficiency of geohazard information service leading by the advancement of information technology.

The Influence of Information Services on Public Transport Behavior of Urban and Rural Residents

Rural and urban areas are mainly connected by public transport in China. The characteristics of the trips of local residents in rural and urban areas are different; therefore, the demand for public transport information services is different. Based on the revealed data, a structural equation model is applied to examine the critical factors affecting the behavior of urban and rural residents in choosing public transport in the Beidaihe District, Qinhuangdao City, China. The effect of information service factors on public transport behavior of urban and rural residents is obtained. The influence level of public transport information service on public transport behavior of urban and rural residents before and during travel is discussed. This study provides valuable insights to improving public transport services between urban and rural areas of China, which can attract more residents to use public transport and promotes sustainable development between urban and rural areas.

ОЦІНКА ЯКОСТІ ПОСЛУГ ЗАЛІЗНИЧНОГО ТРАНСПОРТУ

It was determined that in conditions of market relations and integration of railway transport of Ukraine to the Western European transport system the quality of transport services must comply with the standards, which are designed to naukovovirobnicha methodological foundations. Through the system indicators quality standards established balance of interests of performers and users of transport services. The main measure of quality in the market is the needs and requirements of the consumers. Thus, the quality of transport services can be defined as conformance to customers ' expectations of these services and certain established standards. For a comprehensive evaluation of the quality of services of railway transport is proposed to take into account the following indicators: the level of safety of transportation services; the level of cargo safety during transportation; technical state of railway infrastructure and rolling stock conditions of carriage; the level of reliability of transportation; provide transportation services; the level of comfort and convenience; the level of information services; the level of competence, sociability and friendliness of staff; the availability of additional services. Evaluation of the quality of services of railway transport or its structural subdivisions proposed in the following sequence: determination of parameters of transport to be used in assessing the quality of transport services; the numerical measure and the temporary restrictions of the parameters; establishing expert by the importance of each parameter to the total number; identification of the degree of compliance of each parameter to a certain level, which is determined by the researcher; the calculation of the integral assessment of the quality of transport services. The methodical approach to integrated assessment of the quality of railway transport services taking into account the main parameters of quality of transportations, their importance and meet the requirements of consumers of transport services on the terms and results of the transportation process

A Study on the Effect of Information Service Level and System Quality on BSC: Focusing on the Mediating Effect of Work Efficiency

This study aims to empirically identify whether the higher the quality of the system, the more efficient the task and the more impact it has on the BSC items. An empirical data from the information system industry, in which various information systems are highly used, was collected and analyzed. To fulfill the research objective, we first identified the concepts of information systems and BSCs, and then verified how the information service level and quality of systems affect work efficiency and BSCs.

Research on Key Technologies of Medical Information Integration

The effective integration of heterogeneous data in medical information systems has always been a hot issue in the information industry and the medical field, and it is also a prerequisite for the digitalization of hospitals. Based on the analysis of the characteristics of the existing medial information system, this paper is supported by cloud computing technology and uses XML technology as a tool to focus on the integration of medical information. The purpose of the research is to eliminate information barriers between medical information systems and achieve effective sharing of medical information resource, thereby further improving the level of hospital information service