Digital Management System Research Articles

Developing a digital management system for museum collections using RFID and enhanced GIS technology

In recent years, the integration of Radio Frequency Identification (RFID) technology with deep learning has revolutionized the Internet of Things (IoT), leading to significant advancements in object identification, management, and control. Museums, which rely heavily on the meticulous management of collections, require precise and efficient systems to monitor and oversee their valuable assets. Traditional methods for tracking and managing museum collections often fall short in providing real-time updates and ensuring optimal environmental conditions for preservation. These shortcomings place a considerable burden on museum staff, who must manually track, inspect, and maintain extensive collections. This study addresses these challenges by proposing an advanced electronic management system that leverages the synergy between RFID technology and Geographical Information Systems (GIS). By integrating an enhanced LANDMARC algorithm into our geoinformation framework, the system visually represents the real-time location of museum collections on custom electronic maps, significantly improving the accuracy and timeliness of environmental monitoring. Additionally, RFID technology is utilized to continuously identify the real-time location of museum staff, facilitating the evaluation of their inspection tasks. This dual approach not only enhances the operational efficiency of collection management but also supports the development of intelligent, automated systems for museums, advancing the application of RFID technology in item identification and location management.

Empowering Sustainable Household Waste Management through Rubbin: App-Based Transactions using Google Maps API and QR Code Recognition

The Digitization of environmentally friendly technology must be applied to advance smart cities. Waste management carried out conventionally often causes irregularities in the classification data collection, difficulties in accessing information related to garbage collection schedules, and a lack of transaction history information, which causes a decrease in the quality of waste collection. The development of functional application features is urgently needed as a container for proper waste management. The Rubbin App has been created, which implements Google Maps API for route optimization and waste mapping, QR code recognition using Enhanced Adaptive Median Filter, and private chat for clients and collectors as additional features. The purpose of designing this research is to overcome the impacts of climate change, significantly reducing gas emissions, by proposing a digital waste management system by providing iOS and Android multiplatform applications with attractive and easy-to-use UI/UX interfaces. The Rubbin application utilizes Google Maps API technology to enable waste tracking and route optimization while employing QR codes to streamline the transaction process between clients and collectors, ensuring efficient waste management operations. The Rubbin application results show a change in the community's waste management habits, forming a culture of caring for the environment.

Missing Medical Data in Neurological Emergency Care Compromise Patient Safety and Healthcare Resources.

Background: Acute care of patients in the emergency department (ED) can be very challenging when patients attend EDs without their important medical information. This is especially problematic for multimorbid patients under polypharmacy. The aim of this study was to assess systematically the frequency and clinical relevance of incomplete medical data upon ED admission. Methods: The study was conducted in the neurological ED of a German tertiary hospital. The availability and accuracy of medical data of all neurological patients in the ED were assessed upon arrival. Treating ED physicians were asked about the acute care of the patients to clarify whether missing data resulted in delays or complications in the emergency treatment. Additionally, doctors responsible for the inpatient care of patients who were admitted to a ward via the ED were questioned about the course of the inpatient stay to monitor how initially missing data might have influenced the hospital stay. Results: Medical data of 27% of the 272 included patients were missing or incomplete upon admission in the ED. The ED physicians had to make additional phone calls to gather information in 57% of these cases (vs. 22% in patients with complete data, p < 0.0001). Delays between 5 and 240 min were documented due to initially missing data. Unnecessary diagnostic procedures (e.g., lumbar puncture) were performed in 5% of these patients, thus compromising patient safety. Even the inpatient stay was complicated by initially missing data, as doctors still had to spend time (between 10 and 180 min) to gain relevant information. Retrospectively, 5% of hospitalizations could have been avoided if all medical information had been available upon ED admission. Conclusions: Missing medical data caused complications and delays in acute as well as inpatient care of patients admitted to the neurological ED. This compromised patient safety and led to a waste of medical resources and valuable time of the responsible medical team. Therefore, a comprehensive, digital data management system is urgently needed to improve patient safety and facilitate efficient patient care in the ED and beyond.

Structural Functionalism in Rural Primary Education: An Inquiry into the Alleviation of Digital Dilemmas

This paper thoroughly examines the educational challenges faced by China's rural primary schools in the modern digital context and suggests solutions based on the structural functionalism theory. The allocation of educational resources in rural primary schools is blatantly unequal under the dual structures of urban and rural areas, and the use of digital teaching also creates the dual issues of system imbalance and incomplete function. This paper, which is based on the structural functionalism theory, explains the challenges that digital education in rural primary schools faces, including a lack of resources, a shortage of skilled teachers, and an imperfect top-level educational design. In light of these challenges, the paper proposes some solutions, including enhancing the creation of digital education resources, enhancing teachers' capacity for digital teaching, creating and refining the digital management system for rural primary education, and fostering shared values to support the social identity of rural primary education digitization. In order to improve rural primary education in China, close the educational resource gap between urban and rural areas, advance educational equity, and raise the standard of rural primary education, this paper offers a theoretical and practical perspective on the digital transformation of rural primary schools.

Project Monitoring Based on View of All Project Partners At Digital Project Management Platforms

In the dynamic landscape of digital project management, effective project monitoring is critical for successful project outcomes. The emergence of digital project management platforms has revolutionized the way projects are monitored, enabling real-time collaboration and data-driven decision-making. Periodic site visits and gathering input from all project stakeholders are crucial for ensuring clear understanding of project progress by states institutional. With digital project management systems, on-site progress should be monitored in real-time and inclusive of all project stakeholders. The research investigates how collaborative monitoring fosters project progress of transparency and active engagement among project partners. By providing real-time visibility into project progress, tasks, and milestones, these platforms empower stakeholders with up-to-date information, enabling agile decision-making and prompt risk mitigation. This study explores how digital project management platforms integrate site monitoring evaluations and reporting tools, providing valuable data-driven insights into project performance. By considering periodic analytics, project partners can improve resource allocation, decision making process against possible bottlenecks at construction stages and boost productivity and inform states institutional to monitor project progress closely. Furthermore, the research examines the influence of these platforms on communication dynamics, promoting communication and efficient information exchange among project partners. Such enhanced communication capabilities result in improved team cohesion and collaboration, driving the project forward with synchronized efforts. In this study, the focus lies on tracking the progress of contractual agreements through digital platforms, enabling all stakeholders to monitor advancements. Specifically, the investigation centers on how the designated contractor responsible for project execution and the consulting firm appointed by the project owner can effectively track project progress on a periodic basis using digital platforms. In the context of transportation projects in Turkey, a digital project tracking system has been developed for the Ministry of Transport and Infrastructure, through which data obtained from on-site visits and consultant opinions regarding project advancements are shared with the Ministry. Subsequently, the responsible contracting authority, guided by the consultant's feedback, can respond and evaluate progress accordingly. This approach ensures that project advancements are accurately monitored by all stakeholders of the project. To do so, this study investigates the utilization of the prepared digital platform to facilitate rapid and precise contract monitoring by all project stakeholders, encompassing the opening information and assessment evaluations based on stakeholders' perspectives.

PELATIHAN SISTEM MANAJEMEN ARSIP DI KANTOR DESA JAYA MULYA

Outgoing and incoming letters are active dynamic archives whose usage levels are still high. The birth of the e-Government concept makes it easier to administer government by utilizing technology. Dynamic archive management which is still manual causes many shortcomings such as damaged archives, lost archives, difficult to find etc. Therefore, a digital archive management system is needed so that dynamic archive management is more effective. Service activities related to archive management system training were carried out in Jayamulya Village, Serang Baru, Bekasi. The method used is by providing materials, training and practice in managing records of outgoing and incoming letters using an records management system. As a result of this service activity, village officials know, understand, practice and use the archive management system so that outgoing and incoming mail management is more effective. Although the archives management system still needs to be developed to make it easier and more effective in managing archives at the Jayamulya Village Office.

Deep reinforcement learning-based energy management system enhancement using digital twin for electric vehicles

Compared to conventional engine-based powertrains, electrified powertrain exhibit increased energy efficiency and reduced emissions, making electrification a key goal for the automotive industry. For a vehicle with a hybrid energy storage system, its performance and lifespan are substantially affected by the energy management system. Reinforcement learning-based methods are gaining popularity in vehicle energy management, but most of the literature in this area focuses on pure simulation, while hardware implementation is still limited. This paper introduces the digital twin methodology to enhance the reinforcement learning-based energy management system for battery and ultracapacitor electric vehicles. The digital twin model can exploit the bilateral interdependency between the virtual model and the actual system, which improves the control performance of the energy management system in real-time control. The physical model is established based on a hardware-in-the-loop simulation platform. In addition, battery degradation is also considered for prolonging the battery lifespan to reduce operating costs. The validation results of the trained reinforcement learning agent illustrate that the digital twin-enhanced Q-learning energy management system improves the energy efficiency by 7.08 % and reduces the battery degradation by 25.28 %.

The current status and improvement directions of legal rules regarding Chinese national gene banks for farm animal genetic resources.

A gene bank for farm animal genetic resources (FAGR) is an important facility for the diversity conservation of FAGR. The primary purpose of gene banks for FAGR is the reconstruction of those breeds. With the advent of the post-genomic era, gene banks for FAGR have increasingly become an infrastructure for the support of livestock research and animal breeding, and a platform for international research collaboration. China is one of the richest countries in the world in terms of FAGR. Chinese National Gene Banks for FAGR (CNGBFs) have an important legal status and play an important function in the Chinese FAGR protection system. In this paper, we reviewed the current situation of CNGBFs construction, and systematically collected and analyzed legal rules related to CNGBFs. As results, those legal rules were categorized into two types: (a) organization and management, (b) activities. We summarized problems existing in the current legal rules for CNGBFs from three levels: institution, practical operation, and digital development. Improvement directions of legal rules regarding CNGBFs are proposed. They include clarifying the utilization function of CNGBFs and the ownership of FAGR in CNGBFs. Moreover, improving the mechanism of administrative management, rules on domestic and international access and benefit-sharing, and the system of digital sequence information management are also suggested. The improvements in those legal rules will contribute to the appropriate utilization of Chinese FAGR and international collaborations.

Digitalization of construction-phase information management by project owners: qualitative analysis of potential benefits and probable factors

PurposeThe US construction industry has been relatively slow to employ digital information technologies. The lack of adoption by project owners is a result of them not having a solid understanding of probable factors (PFs) that could influence the implementation of such systems and potential benefits (PBs) that can serve as key motivators and an assessment instrument. Thus, this article aims to study PBs of digital construction-phase information management (DCIM) systems for project owners and PFs that could influence the implementation of such systems by project owners.Design/methodology/approachQualitative data collection and analysis methods were followed to conduct the research. The qualitative data (information) regarding PBs and PFs were collected using a survey to subject matter experts and the content analysis method was used to analyze the data.FindingsFindings show that almost all the qualitative data regarding PBs of DCIM systems are positive, and these data support 10 of 18 PBs with which they were compared. The qualitative data that is negative does not support one PB. Findings also show that all the qualitative data regarding the PFs are confirmatory, and these data support 14 of 28 PFs with which they were compared. The most supported PB is improvement in the efficiency of documentation within the organization and the most supported PF is upper management support.Originality/valueThe primary contribution of this research is in increasing project owners’ understanding of PBs of DCIM systems and PFs that could influence the implementation of such systems.

Digital teaching resource management system for higher education

Digital teaching resource management system for higher education

Web-based human-robot collaboration digital twin management and control system

Human-robot collaboration presents a promising application in customized production. The utilization of digital twin technology, an advanced form of virtual reality interaction, is pivotal in augmenting the capabilities of human-robot collaboration by enhancing perception and interaction dynamics. Human-robot collaboration digital twins have been proposed to create collaboration strategies, simulate collaborative processes, and guarantee individual safety. Nevertheless, there remain obstacles in the implementation of digital twins within human-robot collaboration. One notable challenge involves developing a user-friendly and easily accessible digital twin management and control system that is well-suited for human-robot collaboration. The human-robot collaboration digital twin is a sophisticated system that encompasses both physical and virtual environments. Effectively managing diverse resources within this system, devising collaboration strategies, and overseeing the collaboration process is essential for the standardized utilization of digital twins in human-robot collaboration. In response to the specific requirements of digital twins in this context, a web-based system has been conceptualized and implemented for managing and controlling human-robot collaboration digital twins. The system is structured based on the browser/server architecture model. Its functional design is implemented through a modular approach. The server-side database management system chosen is MySQL, while the programming and development of the control system are carried out using the Microsoft.Net Framework 4.8 on the Visual Studio 2022 platform. The system’s functional modules are exemplified through a case study on human-robot collaborative assembly. The findings of this study offer insights that can guide the standardized management and application of digital twins within the realm of human-robot collaboration.

ОПТИМІЗАЦІЯ ІННОВАЦІЙНИХ БІЗНЕС-ПРОЦЕСІВ В СИСТЕМІ УПРАВЛІННЯ ЛАНЦЮГАМИ ВАРТОСТІ

The article examines applied aspects of implementing the strategy of clustering the national economy based on the optimization of integrated value chains in the context of globalization challenges. The peculiarities of organizational-procedural and communicative-network support of business processes under the conditions of clustering of socio-economic systems are determined. The components of managing the processes of administration and implementation of the innovative potential of integrated production chains in the context of digital development and the format of optimization parameters were formed: intellectual capital; entrepreneurial potential; dominant technologies (level and possibilities of technology development in this area); industry localization (industry environment, market segments); information innovation infrastructure (environment of targeted integrated interaction). The evolution of the concept of integrated value chains in the context of their application in partnership activities of enterprises was considered, their mutual influence and combination, features and advantages were studied. The expediency of using the theory of digital business process management systems in business network structures and value chains is substantiated. The prospects for the use of integrated solutions are outlined, which allow creating a significant synergy of innovative network concepts, ensuring the overcoming of information asymmetry, and moving to an emergent level of business process management. Thus, the integrated value chain gradually expands from the production area to system processes in marketing, scientific and technical activities, financial support, sales process and service activities. A positive characteristic of this is the acquisition of invaluable experience in the systematic management of business processes and the implementation of innovative solutions to optimize the processes of increasing the value of enterprises in the strategic sector of the economy. Therefore, taking into account the current trends in the manifestation of innovative business processes in the digital administration system, one should possess the tools of the analog and digital management model when determining the profile of the business processes of filling the integrated value chain.

Measurement of new qualitative productivity kinetic energy from the perspective of digital and green collaboration--comparative study based on European countries

At present, the world is witnessing the historic convergence of a new round of scientific and technological revolution and industrial change with the transformation of the development mode, and it is strategically important and far-reaching to rapidly enhance new qualitative productivity kinetic energy (NQPKE) on the basis of the lessons learning from the experience of the pioneering countries for all countries, so as to expand the room for manoeuvre of the economic development, obtain the initiative of international competition, and realise the benign interaction of high-quality development and high-level of security. On the basis of analysing the formation mechanism of NQPKE, we characterize NQPKE by the coupling and coordination degree of digital productivity and green productivity, we analyse NQPKE by using the entropy weight TOPSIS method and the coupling and synergistic model, and analyse the spatial-temporal characteristics, steady state development and constraints of NQPKE by using the method of kernel density estimation, the Markov chain, the spatial Markov chain, and the obstacle degree model based on data from 21 European countries from 2009 to 2022. The study finds that: (1) The NQPKE shows a wave-like development trend, and the polarization or multi-polarization state of the whole and the four major regions has been slowly weakened, with a certain degree of "club convergence" and "spatial spillover"; (2) The overall situation of barriers to NQPKE is relatively stable, the insufficient investment in scientific and technological development and weak technological innovation capacity are the most critical factors constraining the NQPKE in various countries. Based on the above conclusions, the article proposes to hold high the banner of peaceful development and win-win cooperation, give full play to the "club convergence" and "spatial spillover" effects of NQPKE, accelerate the development of NQPKE adapt to local conditions, and the "digital + green" double base will stimulate technological innovation, and the construction of a digital and green synergistic management system stimulates the potential of the new quality productivity of enterprises, ultimately unleash the surging kinetic energy of new quality productivity development.

Digital Human Intelligent Interaction System Based on Multimodal Pre-training Mode

ABSTRACT As the forefront of human–computer intelligent interaction, digital humans have increasingly diverse application scenarios, but also face many challenges. In order to enhance the intelligence level and interaction capability of digital human, the study first optimizes the traditional UniLM model, then introduces the mechanism of multi-head attention, and mitigates the exposure bias by using adversarial training and random replacement of decoder to design an improved UniLM model, and finally applies the improved model to the digital human management system. The results show that the precision rate of the improved UniLM model is improved by 7.68%, 6.4%, and 4.96%, the recall rate is improved by 11.94%, 9.69%, and 8.83%, and the F1-score is improved by 8.34%, 6.41%, and 7.68% compared with the other three models, which proves that it has a better precision rate, robustness, and generalization ability. The perplexity of the improved UniLM model is 135, 95, 76, 71, and 55 under five text lengths, which is significantly lower than the other models, proving that its text generation ability is better. The above results demonstrate the performance of the research-designed digital human system based on the Improved UniLM model, which provides a direction for the further development of digital human technology.

Artificial Intelligence Applied to Civil Engineering: A Multidisciplinary Approach

Objective: Present the main applications of Artificial Intelligence (AI) in Civil Engineering, covering all phases of building a Smart Home, from conception to disposal. Theoretical Framework: Based on the multidisciplinary nature of artificial intelligence in Civil Engineering and the various methodologies and techniques to apply it, based on data collection and processing of the information obtained, a Smart Home is proposed that is planned from its conception to its disposal or demolition, covering the entire life cycle of the project. To manage the subsystems, a more extensive System called “Digital Home Management (DHM)” was developed, in which the data collected by the sensors is processed and transformed into information that will be stored and transmitted to the resident when necessary. Method: The methodology adopted for this study is qualitative and exploratory and is based on documentary bibliographic research in national and international databases. Results and Discussions: The results show the advantages of considering different fields of human knowledge when adopting Artificial Intelligence techniques, leading to better results in the products and services delivered by the Smart Home and Digital Home Management. Research Implications: AI applied to Civil Engineering is just beginning. This practice will increase considerably in the coming years. The integration between human beings (peopleware), computer programs (software), and machines (hardware) means that AI presents a wide range of options for services and products to be provided to improve the quality of life of society. Originality/Value: The relevance and value of this research are evidenced by proposing the implementation of a Digital Home Management System to mitigate the damage caused to the environment by human activities, whether routine or not, contributing to a healthier society and a more sustainable environment. This research on AI application to Civil Engineering is just beginning. This practice will increase considerably in the coming years. The integration between human beings (peopleware), computer programs (software), and machines (hardware) makes AI present a wide range of options for services and products to be provided to improve the quality of life of society. shows how much the field of Artificial Intelligence applied to Civil Engineering is quite promising and will increasingly require professionals who can interrelate with people from other areas.

Effect of Knowledge Succession on Business Continuity of Community-Based Organizations in Kitui County, Kenya

Business continuity is the ability of a business enterprise to outlive the dream bearers who began it, so it can continue thriving long after the people who began it have left. Knowledge succession is the ability of a dream bearer to groom another or several others to continue the good work they began when they started the business. This study wishes to add a pool of knowledge by addressing the effect of knowledge succession on business continuity. The context the study was done in is Community-based organizations (CBOs) in Kitui County, Kenya. The study applied cross-sectional survey research. The unit of analysis was 228 CBOs in Kitui County while the unit of observation was 228 chairmen of CBOs. The study used Taro Yamane formula to derive a sample size of 145 participants. Primary data was collected using hand delivered questionnaires. Data was analyzed for descriptive and inferential statistics. The descriptive statistics reviewed a high agreement with the statement on knowledge succession with an overall mean of 4.12 which implied that the organization prepared the employees for future leadership positions. Regression analysis between knowledge succession and business continuity indicates a beta coefficient of 0.404 and a p-value of 0.001 suggesting that knowledge succession had a significantly positive effect on the continuity of CBOs in Kitui County. The findings imply that knowledge succession plays a critical role in the continuity of CBOs in Kitui County. The study recommends using digital knowledge management systems, and mentoring fresh employees to enhance their versatility.

DRPChain: A new blockchain-based trusted DRM scheme for image content protection

The unauthorized replication and distribution of digital images pose significant challenges to copyright protection. While existing solutions incorporate blockchain-based techniques such as perceptual hashing and digital watermarking, they lack large-scale experimental validation and a dedicated blockchain consensus protocol for image copyright management. This paper introduces DRPChain, a novel digital image copyright management system that addresses these issues. DRPChain employs an efficient cropping-resistant robust image hashing algorithm to defend against 14 common image attacks, demonstrating an 85% success rate in watermark extraction, 10% higher than the original scheme. Moreover, the paper designs the K-Raft consensus algorithm tailored for image copyright protection. Comparative experiments with Raft and benchmarking against PoW and PBFT algorithms show that K-Raft reduces block error rates by 2%, improves efficiency by 300ms compared to Raft, and exhibits superior efficiency,decentralization, and throughput compared to PoW and PBFT. These advantages make K-Raft more suitable for digital image copyright protection. This research contributes valuable insights into using blockchain technology for digital copyright protection, providing a solid foundation for future exploration.

The Digital Environment and Its Impact on Labour Market Development Regulation

The article considers the influence of digitalisation in the management of production processes. As a result of the introduction of digital technologies and the transfer of the mechanism for the management of production processes into a digital environment, approaches and methods for regulation of the development of the labour market are being transformed. On the basis of the conducted analysis of research and regulatory documents, the author’s interpretation of the term “digital environment” is offered, which is interpreted from two points of view: on the one hand, as an integrated environment, providing information to all users of the labour market; on the other hand, as an environment for digital interaction between economic actors and the entire digital infrastructure. Using this approach, the authors have identified the system-forming components of the digital environment in the sphere of labour market development regulation, which are grouped into three blocks: the system of digital environment management, the system of labour relations management, and, as a result of the interconnection of these systems, a block of ecosystem directions of labour regulation, which in relation to grouped system blocks allow to influence the basic economic indicators of labour in the digital environment, has been allocated.

Digital improvements in the design and construction process of classical Chinese garden rockeries: a study based on material digitization

Rockeries have a complex and significant role in classical Chinese garden designs. They present distinct artistic characteristics and spatial hierarchies and are crucial to garden heritage conservation. Craftsmanship in rockery construction is a significant part of China’s intangible cultural heritage. Rockeries are primarily composed of naturally occurring rocks chosen for their uniqueness and complex shapes and textures. These rocks present challenges as nonstandard elements within the traditional Chinese garden context, as it is not easy to depict them using conventional blueprints and models. This complicates the design, adjustment, display, and construction of rockeries, which lacks tangible bases for reference. Consequently, the preservation and restoration of garden rockeries is difficult, and the perpetuation and dissemination of rockery construction skills face numerous challenges. This study introduces a method that combines laser scanning and photographic measurements to digitize precisely nonstandard elements of rockery stones. This approach presents an innovative design and construction workflow for rockeries by refining design processes, showcasing real effects, and resolving assembly issues. The results demonstrate that the combination of three-dimensional laser scanning and close-range photogrammetry can accurately replicate the complex forms and textures of these nonstandard elements. The stone coding and digital management system devised based on the logic of construction effectively satisfies the design and building requirements of rockeries. Correspondingly, the proposed digital construction workflow enhances the accuracy of rockery design, presentation, and evaluation, thereby contributing to the protection and restoration of rockery heritage sites and the transmission of rockery construction techniques.

A case study: Making decisions for sustainable university campus planning using GeoAI

The increasing availability of geospatial data, the development of AI and the availability of large computational capacities have contributed to the growing importance and potential of GeoAI. GeoAI has an important role in advancing traditional AI technologies and developing new ways to solve problems posed by the massive, complex, diverse and ever-increasing nature of geospatial data. Geospatial data is widely used in many scientific fields and applications such as smart cities, transportation, business, public health, public safety, resilience to natural disasters, climate change and many more. Especially because of the huge growth in population and the need to analyze United Nations sustainability impacts oblige the experts to utilize GeoAI. The future vision, smart cities and smart campuses provide acceleration in the IoT and planning with GeoAI. In this scope this preceding enlightens campus planning by GeoAI as beginning step of the digital twin mechanism. This article is applied to: (1) GeoAI and campus planning techniques; (2) QGIS and KooMap utilization for AI based image recognition; (3) interpreting the output of GeoAI based map and giving sustainability recommendations related with campus planning; (4) Strengths and shortcomings of the research. GeoAI usage is proven as a beneficial way to make decisions on university campus by using automatically recognized satellite images. It is the first step for digital campus management system.