Industrial Communication Technologies Research Articles

The Application of National Security Algorithm in Wireless Networks for Industrial Automation Process Automation (WIA-PA) Network Data Security Transmission

Industrial wireless communication technology is the key to promoting the development of factory intelligence and automation. However, wireless network data security has hindered the development of industrial intelligence. Therefore, to solve the security issues of industrial wireless networks, a network data secure transmission technology based on the national security algorithm is proposed based on industrial wireless network standard protocols. Firstly, to address the vulnerability of network node identity authentication to attacks, the national security algorithm is used to construct a node authentication model. Secondly, a data security transmission model is constructed based on the improved national security algorithm, which can securely transmit industrial wireless networks by encrypting network application layer data. In network node identity authentication, when the step size was 50, the identity authentication average accuracy of the research mode reached over 98.95%, which was better than other models. When the step size was 50, the average accuracy of identity authentication in the research model was over 98.95%, showing the best performance among similar models. In the attack test of illegal client C, when the interaction history data was within 500, the node identity authentication was higher than 99.56%. However, when the interaction history data exceeded 500, the overall performance of the research model was still the best. In the comparison of node code storage and content usage overhead, when the code quantity was 15000, the storage overhead of the research model was 87356 bytes, with more node code storage and lower memory usage. The overall performance of the research model is better. From this, the research method performs the best in both identity recognition accuracy and security in network data security. The research content will provide technical support for the security management and data transmission of industrial wireless technology.

안면인식결제가 사용자 저항과 이용의도에 미치는 영향

The modern society is undergoing tremendous changes due to technological innovation. The birth of new technologies such as artificial intelligence (AI), Internet of Things (IoT), big data, and cloud computing marks the beginning of the fourth industrial revolution. Various new industries are rapidly emerging as information and communication technology (ICT), artificial intelligence, big data, and other new technologies such as the Internet of Things are combined. Fintech is a technology that is attracting attention as new technologies and the financial industry merge. The concept of Fintech was born through the convergence of financial industry and information and communication technology by governments of all countries around the world and continuous innovation. Fintech is an innovation in the financial industly that uses new technologies. Use aiiificial intelligence, big data, cloud computing, the Internet of Things and other modern science and technology achievements to reform financial products, business models and business procedures. One of the most basic tasks in financial business is payment service. The development and introduction of new technologies has changed the way people pay. One of the notable fields in payment service is face recognition payment. Face recognition is being used in various fields due to its high accuracy and low invasiveness. Facial recognition payment is a technology that uses computer vision. It uses computers to mimic human vision, allowing computers to analyze images. It is a technology that implements identity authentication based on personal facial feature information. The purpose of this study is to analyze the effect relationship of facial recognition payment on usage intention. For basic statistical analysis of the questionnaire, SPSS 23.0, a statistical package, was used. For hypothesis testing, concentrated validity and discriminant validity were verified using the structural equation package Smart PLS 4.0. Infmmation technology factors that dete1mine face recognition payment were divided into system characteristics and user characteristics. A summary of the study follows. First, The system characteristics of the face recognition payment service were partially adopted for user resistance. Second, the user characteristics of face recognition payment had a significant effect on user resistance. Third, user resistance had a significant effect on intention to use.

Heuristic solutions to optimize the traffic routing in space division multiplexing networks

This paper underscores the symbiosis between industrial engineering techniques and optical communication technologies, bringing valuable insights to the optimization of traffic routing in communication networks using constructive heuristics. Exploring and realizing the potential of optical fiber networks has received more attention due to the popularity of various network services and the ensuing increase in overall internet traffic. Space Division Multiplexing (SDM) stands out among the technologies designed to increase the functionality of core and urban mesh/ring networks. SDM's primary goal is to significantly increase transmission system bandwidths by effectively using the spatial dimension. The routing of traffic within flex-grid SDM optical networks has been optimized in this paper using two novel heuristic algorithms. The experimental results show that the proposed algorithms outperform the solutions presented in previous research from the literature.

Physics-Based Modeling and Parameter Tracing for Industrial Demand-Side Management Applications: A Novel Approach

The transition to sustainable energy sources presents significant challenges for energy distribution and consumption systems. Specifically, the intermittent availability of renewable energy sources and the decreasing usage of fossil fuels pose challenges to energy flexibility and efficiency. An approach to tackle these challenges is demand-side management, aiming to adapt energy consumption and demand. A key requirement for demand-side management is the traceability of the energy flow among individual energy consumers. In recent years, advancements in industrial information and communication technology have provided additional potential for data acquisition. Complementary to acquired data, a physics-based modeling and analysis approach is proposed, which describes the energy consumption with physical parameters. This results in comprehensive options for monitoring actual energy consumption and planning future energy demand supporting energy efficiency and demand-response goals. To validate the proposed approach, a case study with a 3D printer covering approximately 110 h of active printing time is conducted. The medium-term study results indicate a consistent parameter trend over time, suggesting its conceptual suitability for industrial application. The approach helps to monitor energy efficiency among manufacturing assets by identifying peak loads and consumption hotspots, and provides parameters to estimate energy consumption of manufacturing processes. Results indicate up to 50% energy savings when switching the printing material and indicate further potentials.

Industrial robots, and information and communication technology: the employment effects in EU labour markets

ABSTRACT This paper explores the effects of industrial robots and information and communication technology (ICT) on regional employment in European Union countries. The empirical analysis relies on a harmonised comprehensive regional dataset that combines business statistics and national and regional accounts data. This rich dataset enables us to provide detailed insights into the employment effects of automation and computerisation in EU regions for the period 2001–16. The results suggest relatively weak effects on regional total employment dynamics. However, industrial robots show negative employment effects in local manufacturing industries and positive employment effects in local non-manufacturing industries. While the negative effect is concentrated in particular local manufacturing industries, the positive effect has operated in local service industries. Information technology investments show positive employment effects in local manufacturing industries and some individual local service industries, while communication technology investments are shown to be irrelevant for employment dynamics. In contrast, software and database investments have had a predominantly negative association with local employment.

Student Caricatures: A Teaching Tool For Character Development

Early childhood education is an important part of the 4.0 industrial era, and Information and Communication Technology (ICT) is essential to ensure that knowledge is disseminated rapidly. To keep up with scientific advances and integrate local wisdom and Islamic values into teaching materials, developing visual communication skills through the use of design software is an effective solution. This study has employed the development research method and data collection techniques such as observation, questionnaires, and focus group discussions, as well as training, to develop a visual communication model for early childhood character development. The results of the study suggest that using Inkscape software can help early childhood teachers to create independent teaching materials effectively. The tracing image method used in the visual communication model for teachers to create illustrated stories is simple to understand and uses the Inkscape application for drawing. This model can enable early childhood teachers to gain the skills required to better integrate Islamic values and local wisdom into their teaching materials and to create visual materials suited to the 4.0 industrial era

Quality of communications infrastructure, local structural transformation, and inequality

Abstract We estimate the causal impact of communication infrastructure quality on growth and structural transformation. We use variation across US counties’ Internet speeds in 2018 and build an instrument using ARPANET, a military network that preceded the modern Internet, with its location documented in historical government reports. We find that doubling Internet speeds increases the 4-year employment growth by 3.3–6.1 percentage points. Faster Internet shifts economic activity toward high-skilled services and away from non-tradeable services while increasing inequality. Industry linkages, capital-skill complementarity, and information and communication technology workers’ sorting rationalize our results. Medium and small cities and rural areas drive our results.

A Selection Tool Based on Height and Count the Number of Goods on Conveyor using Microcontroller

The fourth industrial revolution is a big leap for the industrial sector, where information and communication technology is used optimally in all fields. Not only in the production process, but also in the entire chain of activities in industry. This gives birth to a new business model based on automation to achieve high efficiency and better product quality. There are many industries or factories that produce goods and the types of goods are varied. Apart from that, the production of goods produced by industries or factories has different levels. In the production of very large and varied goods, if the selection of goods by selecting the height and counting the number of goods is done manually, it will require a lot of human labor. Apart from that, it will also take a very long time and the possibility of errors is also large. To overcome this problem, a tool for selecting goods based on height and calculating the number of goods with a conveyor was designed and manufactured using an ESP32 microcontroller. The design and manufacture of the selection tool begins with creating a circuit schematic using Autodesk Eagle software. Then a prototype was made for a tool for selecting goods based on height and at the same time calculating the number of goods equipped with three storage boxes. This prototype was carried out using Fusion software. This goods selection tool uses mechanical and electrical materials. To determine the reliability of the tool, testing was carried out. In this test, the goods to be selected have a height of 7 cm, 14 cm and 21 cm. Goods with a height of 14 cm are put in the storage box on the left side. Goods with a height of 21 cm are put in the storage box on the right side. Meanwhile, goods that are 7 cm high are rejected and go into the storage box in front of them. The test results show that the selection tool based on height and counting the number of goods works perfectly.

Economic agglomeration in the age of Industry 4.0: developing a digital industrial cluster as a new policy tool for the digital world

PurposeThis conceptual paper aims to develop the vision of a novel policy tool called the digital industrial cluster (DIC) thought for a future context shaped by digital economies and Industry 4.0. The DIC departs from the industrial cluster’s precepts and take them into the digital agglomeration phenomenon.Design/methodology/approachThis research uses a discursive and theoretical approach. To create a clear picture related to the research topic, this paper reviews the literature on how industrial clusters deal with digital transformation. The review takes a particular interest in industrial clusters, information and communication technologies, Industry 4.0 and policy tools for digital agglomeration.FindingsThe research develops the vision of the DIC as a new policy tool, building its foundations on both industrial clusters and digital economies; furthermore, the DIC was compared with other policy tools based on digital agglomeration to understand the similarities, differences and advantages of the former. Finally, this paper discussed where the DIC could find its way toward implementation and what externalities could be expected from doing so.Practical implicationsThis research could be useful for policymakers and cluster organizations looking to deploy policy tools that take advantage of industrial clusters and digital transformation. Besides, the theoretical foundations presented could lead researchers to empirical identification of early incarnations of the DIC.Originality/valueThis paper develops theoretical principles for a new policy tool that connects industrial clusters, digital agglomeration and Industry 4.0 for the first time.

RESEMBLE: A Real-Time Stack for Synchronized Mesh Mobile Bluetooth Low Energy Networks

Bluetooth Low Energy (BLE) is a wireless technology for low-power, low-cost and lowcomplexity short-range communications. On top of the BLE stack, the Bluetooth Mesh profile can be adopted to handle large networks with mesh topologies. BLE is a promising candidate for the implemention of Industrial Wireless Sensor Networks (IWSNs), thanks to its wide diffusion (e.g., on smartphones and tablets) and the lower cost of the devices compared to other wireless industrial communication technologies. However, neither the BLE nor the Bluetooth Mesh specifications can provide real-time messages with bounded delays. To overcome this limitation, this work proposes RESEMBLE, a real-time stack developed on top of BLE that is able to realize low-cost IWSNs over mesh topologies. RESEMBLE offers support to both real-time and non-real-time communications on the same network. Moreover, RESEMBLE provides clock synchronization, thus allowing for Time Division Multiple Access (TDMA) transmissions. The clock synchronization provided by RESEMBLE can be also exploited by the upper layers’ industrial applications to implement timecoordinated actions.

뷰티테크 산업의 동향과 사례 연구

After the 4th Industrial Revolution, advanced information and communication technologies have been fused throughout society and economy and are rapidly developing. The beauty industry is also developing in a way that enhances customer convenience and provides more personalized customized services through the incorporation of IT technology. The purpose of this case study of beauty tech applied with innovative technology is to use it as basic data for related industries, to provide new technology information to small self-employed and beauty workers, and to increase sales. For an overall understanding of the core technologies of the digital era, such as artificial intelligence, the Internet of Things, big data, and virtual and augmented reality, the current status of the beauty tech industry was reviewed through literature research, and beauty tech technologies for each core job of beauty were analyzed. As a result of the analysis, The main focus was on various beauty devices using artificial intelligence and big data, and artificial intelligence platforms that provide customized solutions for consumption promotion, customer experience, and customer satisfaction. In addition, the birth of smart beauty shops and the emergence of robots that imitate practical technician have lifted the direction of the beauty industry in the future and have great implications for the entire industry. In order to spread beauty tech, it is required to actively utilize government support policies, encourage the introduction of technologies that increase customer convenience and store loyalty, and actively participate in research and development as experts in the field.

Research Progress of Water–Laser Compound Machining Technology

As an emerging industry, laser processing technology has developed rapidly and has gradually become a key technology in transforming traditional manufacturing. It has been widely used in various fields such as industrial production, communication technology, information processing, health care, military, and scientific research. The application and development of laser processing technology is restricted by thermal damage and the processing residues existing in traditional laser processing. However, water laser compound machining can better solve the above-mentioned problems. In water laser compound machining , heat and byproducts can be absorbed and taken away by water to improve processing quality. This paper expounds and analyzes the principles and research of three popular water laser compound machining methods (water-guided laser processing, underwater laser processing and water-jet-assisted laser processing). Furthermore, this paper analyzes the technical difficulties in water laser compound machining and looks forward to the future development trends of this technology.

THE APPLICATION OF BLENDED LEARNING TECHNOLOGY IN THE DEVELOPMENT OF TECHNOLOGICAL CULTURE OF MASTERS OF INDUSTRIAL TRAINING OF AGRARIAN PROFILE

In the article, to justify the characteristics of implementing the technology of blended learning in the development of the technological culture of masters of industrial training of an agrarian profile on the basis of training and methodical centers of VET, an analysis of psychological-pedagogical and methodological literature, scientific sources, educational and methodological materials, experience of upgrading the qualifications of masters of industrial training of an agrarian profile is carried out. It was determined that the term "blended learning technology" has acquired a generalized meaning and includes various forms of combining traditional learning with the capabilities of modern information technologies. Attention is drawn to the fact that thanks to the introduction of blended learning technologies, the masters of industrial training are able to implement their own trajectories of the development of technological culture in accordance with individual requests and needs. It was established that the effectiveness of the organization of the educational process regarding the development of the technological culture of the masters of industrial training of the agrarian profile according to the flex model largely depends on the set of applied andragogic and acmeological technologies, namely: project technology, pedagogical coaching, technology of scientific and methodological support. The application of the rotation model and the flex model in the construction of the educational process regarding the development of the technological culture of the masters of industrial training of the agrarian profile in the educational and methodical centers of VET is characterized. It is proved that the application of blended learning technology enables the development of the technological culture of masters of industrial training of an agrarian profile in educational and methodological centers of VET through various types of activities, provides the creation of cultural examples of their own professional experience, the formation of teamwork skills, solving professional and pedagogical problems, critical analysis of the obtained results, assessment of self-development in the context of the introduction of pedagogical, industrial and information and communication technologies into the educational process of vocational(vocational and technical) education institutions.

MACHINE LEARNING BASED ISLANDING DETECTION DURING BLACKOUT

In modern era, demand of electricity is increasing rapidly due to fast development in industrial sector, communication technologies, commercial and domestic usage. The need of the hour is to protect the power system from blackouts during abnormal conditions, like voltage collapse and frequency disturbance etc between the generation and consumption. The sudden change in weather conditions, loading of power system, and over ageing of transmission and distribution lines becomes the cause of blackouts. Islanding detection and protection is one of the best possible techniques to improve the power quality, reliability, system security, transmission congestion relief and efficient energy utilization. Distribution generators (DGs), if properly placed have many positive impacts on the operation of power system. The islanding can improve the reliability by counting the operation of electrical power to keep the balance between consumption and generation. The main problem is sustained islanding with fast timing. Plant should sustain its island mode condition when fault occurs in transmission lines. Most islanding detection algorithms suffer from large NDZ and Non detection zone must be minimized to protect system properly and avoid blackouts. This study presents a technique to develop a reliable system to prevent complete blackouts, while maintaining the stability of the power system with high variability and uncertainty under the abnormal conditions. It is also needed to present the period all the DGs need to connect and disconnect immediately when the island occurs. For this purpose, each DG must be equipped with islanding detection devices. In this research work the presented system is a two-step process, based on the collection of some of the key characteristics in the current and voltage signals to analyze second harmonic by the Fourier transform (FT).

A Comprehensive Survey of Digital Twins and Federated Learning for Industrial Internet of Things (IIoT), Internet of Vehicles (IoV) and Internet of Drones (IoD)

As a result of the advancement in the fourth industrial revolution and communication technology, the use of digital twins (DT) and federated learning (FL) in the industrial Internet of Things (IIoT), the Internet of Vehicles (IoV), and the Internet of Drones (IoD) is increasing. However, the deployment of DT and FL for IoV is challenging. In this survey, we focus on DT and FL for IIoT, IoV, and IoD. Initially, we analyzed the existing surveys. In this paper, we present the applications of DT and FL in IIoT, IoV, and IoD. We also present the open research issues and future directions.

Understanding Entrepreneurship Policy Program in Indonesia: An Analysis at Micro and Macro Level

This research aims to highlight the understanding of entrepreneurship policy implementation, particularly in Indonesia with an analysis at the micro and macro levels. Essentially, this research applied the qualitative descriptive method called document analysis from the previous study and governmental documents to gain a-detailed evidence pertaining to the entrepreneurship policy program in Indonesia. Data on entrepreneurial policy program planning, the National Long-Term Development Plan, and program reports were acquired from the Ministry of National and Development Planning 2005-2025. The findings of this research illustrate the 10 entrepreneurship policy programs at the implementation stages. It can be drawn that the entrepreneurship policy is fundamentally aimed at increasing the number of aspiring entrepreneurs or new ventures. The practical implication of this study resulted from the two different program implications at stages of analysis of Micro and Macro. Brought together, its implementation at the micro level is still primarily based on the creation of skills that could adequately cover managerial, business industry, and technical communication technology; motivation that covers incubators or mentoring programs, and greater exposure; which covers opportunity, visibility, also access to market, business and finance. Meanwhile, the analysis at the macro level resulted that government policy largely focuses on venture capital funding, innovation and education for entrepreneurship, entrepreneurship culture, infrastructure and services of entrepreneurship and lastly professional training for trainers. Keywords: entrepreneurship, government policy program, micro, macro, Indonesia

PENGEMBANGAN POLYCLINIC MOBILE APPLICATION UNTUK MENINGKATKAN PELAYANAN KESEHATAN PADA MASYARAKAT PEKERJA

The use of mobile devices is increasingly popular. Mobile devices are increasingly equipped with advanced hardware and software technology. With dynamic performance and practical on mobile devices can master the development of the world ICT industry (information and communication technology). Software has become one of the spearheads of mobile success device. The creation of application programs is an important breakthrough in mobile development device. Likewise, the development of the Polyclinic Mobile Application in lecturer research This beginner is to provide solutions to problems that exist at the polyclinic at environment of PT. Eka Sandang Duta Prima Semarang, which is not yet supported by ICT, so in providing health services to the community, workers who are less than optimal can resolved. In developing the Polyclinic Mobile Application, it is not only a registration feature only, but there are several other features that were developed such as; polyclinic profile, schedule practice, modern queuing system, recording medical records, view patient history, take notes medical action, noting the drug administered.

QSPCA: A Two-Stage Efficient Power Control Approach in D2D Communication for 5G Networks

The existing literature on device-to-device (D2D) architecture suffers from a dearth of analysis under imperfect channel conditions. There is a need for rigorous analyses on the policy improvement and evaluation of network performance. Accordingly, a two-stage transmit power control approach (named QSPCA) is proposed: First, a reinforcement Q-learning based power control technique and; second, a supervised learning based support vector machine (SVM) model. This model replaces the unified communication model of the conventional D2D setup with a distributed one, thereby requiring lower resources, such as D2D throughput, transmit power, and signal-to-interference-plus-noise ratio as compared to existing algorithms. Results confirm that the QSPCA technique is better than existing models by at least 15.31% and 19.5% in terms of throughput as compared to SVM and Q-learning techniques, respectively. The customizability of the QSPCA technique opens up multiple avenues and industrial communication technologies in 5G networks, such as factory automation.

A Review on Printed Electronics: Fabrication Methods, Inks, Substrates, Applications and Environmental Impacts

Innovations in industrial automation, information and communication technology (ICT), renewable energy as well as monitoring and sensing fields have been paving the way for smart devices, which can acquire and convey information to the Internet. Since there is an ever-increasing demand for large yet affordable production volumes for such devices, printed electronics has been attracting attention of both industry and academia. In order to understand the potential and future prospects of the printed electronics, the present paper summarizes the basic principles and conventional approaches while providing the recent progresses in the fabrication and material technologies, applications and environmental impacts.

Overview of smart healthcare

The 4th Industrial Revolution is described as "a variety of new technologies that integrate the physical, biological, and digital worlds based on big data and affect all fields such as economy and industry." In the new era, new types of products and businesses are being created based on innovative technologies such as artificial intelligence, big data, IoT, and mobile, and this has an overall impact on all fields, including economy and industry. In the era of the 4th industrial revolution, the healthcare industry was also combined and fused with the ICT industry (Information and Communication Technology), which created a new field called smart healthcare. Smart healthcare refers to the combination of ICT technology with the existing traditional hospital and doctor-centered medical industry, and provides more convenient and diverse types of medical services to consumers. Smart healthcare will revolutionize the medical industry in almost every field, including medical devices, new drug development, disease diagnosis and prediction, and improvement of hospital processes. There are still many obstacles such as security and effectiveness issues, but it is expected that it will be overcome by the efforts of the officials. In this lecture, I think it will be an opportunity to check the future and potential of the evolving healthcare field by grafting cutting-edge technologies.