Digital Generation Research Articles

Embracing the Future: Perceived Value, Technology Optimism and VR Tourism Behavioral Outcomes Among Generation Z

Virtual reality (VR) tourism can become a game-changer in tourism industry. It has been recognized as an effective way to manage tourist load and preserve the ecological balance at environmentally fragile destinations. As the “digital generation”, Generation Z members provide a huge market for VR tourism. However, the behavioral outcomes of Generation Z in the context of VR tourism have been scarcely explored, especially from a perspective of perceived value. Thus, this research particularly focuses on Generation Z. A conceptual model is developed based on Consumption Value Theory (CVT) to investigate the determinants behind user satisfaction and its impact on word-of-mouth (WOM) and continuance intentions. Furthermore, this study explores the moderating role of technology optimism in the relationship between perceived value and user satisfaction. Through the analysis of 509 samples, this research indicates that functional value (immersive presence and convenience), emotional value (enjoyment), epistemic value (curiosity and novelty), social value (online social interaction), and conditional value (the overcrowded form of tourism) are positively related to user satisfaction with VR tourism. In addition, user satisfaction is a predictor of WOM and continuance intentions. Moreover, technology optimism greatly moderates the influences of functional value, social value, and conditional value on user satisfaction. The findings in this research expand the theoretical application of CVT and provide a new perspective to explore tourists’ behavioral outcomes in the context of VR tourism. In addition, this research expands the research boundary of technology optimism and provides valuable insights for designers and managers to focus on influential values.

Python Red Pitaya Lockbox (PyRPL): An open source software package for digital feedback control in quantum optics experiments.

We present the Python Red Pitaya Lockbox (PyRPL), an open source software package that allows the implementation of automatic digital feedback controllers for quantum optics experiments on commercially available, affordable Field-Programmable Gate Array (FPGA) boards. Our software implements the digital generation of various types of error signals, from an analog input through the application of loop filters of high complexity and real-time gain adjustment for multiple analog output signals, including different algorithms for resonance search, lock acquisition sequences, and in-loop gain optimization. Furthermore, all necessary diagnostic instruments, such as an oscilloscope, a network analyzer, and a spectrum analyzer, are integrated into our software. Apart from providing a quickly scalable, automatic feedback controller, the lock performance that can be achieved by using PyRPL with imperfect equipment, such as piezoelectric transducers and noisy amplifiers, is better than the one achievable with standard analog controllers due to the higher complexity of implementable filters and possibilities of nonlinear operations in the FPGA. This drastically reduces the cost of added complexity when introducing additional feedback loops to an experiment. The open-source character also distinguishes PyRPL from commercial solutions, as it allows users to customize functionalities at various levels, ranging from the easy integration of PyRPL-based feedback controllers into existing setups to the modification of the FPGA functionality. A community of developers provides fast and efficient implementation and testing of software modifications.

Understanding Digital Natives Learning Experience through Japanese Language Exam at Nihongo Tesuto Bunkasai Competition by PGBJ Jabodetabek in 2023

Integrating technology into Japanese language education has revolutionized the methods of instruction and learning. Especially while instructing the present generation known as digital natives. Educational institutions need to incorporate technology as a tool for teaching and learning due to the close relationship between digital natives and technology. This research aims to assess the utilization of the web-based test (SHIGURU) during the 2023 Bunkasai events organized by PGBJ-SMK (Forum of Japanese Language Teachers for Vocational High Schools) within the area of Jabodetabek (Jakarta, Bogor, Depok, Tangerang, Bekasi). This study employs a descriptive research methodology that incorporates both quantitative and qualitative approaches. Data can be collected through direct observation, questionnaires, and interviews. The study utilized primary and secondary data sources, which were examined through triangulation procedures. This study examines the benefits and drawbacks of utilizing shiguru and delves into a comprehensive comprehension of how the digital generation acquires knowledge and how Japanese language education should incorporate pedagogical principles and practices to cater to the requirements of digital natives in contemporary Japanese language education.

Fast Digital Orthophoto Generation: A Comparative Study of Explicit and Implicit Methods

A digital orthophoto is an image with geometric accuracy and no distortion. It is acquired through a top view of the scene and finds widespread applications in map creation, planning, and related fields. This paper classifies the algorithms for digital orthophoto generation into two groups: explicit methods and implicit methods. Explicit methods rely on traditional geometric methods, obtaining geometric structure presented with explicit parameters with Multi-View Stereo (MVS) theories, as seen in our proposed Top view constrained Dense Matching (TDM). Implicit methods rely on neural rendering, obtaining implicit neural representation of scenes through the training of neural networks, as exemplified by Neural Radiance Fields (NeRFs). Both of them obtain digital orthophotos via rendering from a top-view perspective. In addition, this paper conducts an in-depth comparative study between explicit and implicit methods. The experiments demonstrate that both algorithms meet the measurement accuracy requirements and exhibit a similar level of quality in terms of generated results. Importantly, the explicit method shows a significant advantage in terms of efficiency, with a time consumption reduction of two orders of magnitude under our latest Compute Unified Device Architecture (CUDA) version TDM algorithm. Although explicit and implicit methods differ significantly in their representation forms, they share commonalities in the implementation across algorithmic stages. These findings highlight the potential advantages of explicit methods in orthophoto generation while also providing beneficial references and practical guidance for fast digital orthophoto generation using implicit methods.

Student Involvement in Science in the Focus of Sociological Analysis

Introduction. The relevance of the topic is due to the following contradiction. According to comparative international studies, in a number of developed countries there is a decline in the interest of young people in scientific activities. In this regard, Russia is an exception, since young Russians are more loyal to science than, for example, their peers in Europe and highly value the impact of scientific achievements on society. At the same time, the problem of «worn-out» scientific personnel in Russia has not been completely resolved. The aging process has slowed down, but it is too early to talk about a massive influx of young personnel into science. Against the background of this contradiction, the authors put forward hypotheses about the lack of involvement of engineering students in scientific research and the dissatisfaction of representatives of the digital generation with the formats of scientific communication that they encounter.Methodology and sources. To develop the research methodology, the authors relied on the concept of the influence of the university on the student (E. Pascarella, P. Terenzini); the theory of the determination of student success by its academic and social integration into various spheres of university life (V. Tinto). To clarify the concept of «scientific communication» the authors turned to the conceptual model of M. Buki and B. Trench, which differentiates the channels and methods of public access to scientific information.Results and discussion. The purpose of the study was to determine the degree of student involvement in the scientific activities of the university and to analyze the conditions for the formation of communication strategies that promote involvement. Students of 1–3 years of bachelor's degree in technical specialties (N = 304) participated in the research.Conclusion. The following results were obtained. Firstly, although students view science as a highly significant activity, they do not recognize it as a model of their professional identity. Secondly, although science is of interest to many respondents, it remains at the level of plans, not action. Respondents see an obstacle to this in their own lack of confidence in their scientific and technical training. Third, research has identified communication strategies that both arouse interest in science and provide students with a sense of progress in mastering research competencies.

The impact of digital media on the education of different digital generations: contributions and challenges for accelerating information and promoting the learning of connected individuals

The present work is the result of a bibliographic research, based on the discussion about the effectiveness of the use of digital media in the classroom, promoting comparative relations with the current reality and exposing some primordial media resources to enhance the school teaching process of the Digital Generation. The purpose was the analog realization of how learning was transmitted to the students of the past, establishing a reflection of how it is given to the transmission of knowledge in contemporary times, evidencing that the education of the XXI century, has advanced significantly with the advent and influences related to the use of the New Digital Technologies based on the challenge of educating the generation born in the Digital Age. The methodological procedure covered the writings and analysis of scientific articles through a critical reflection on the generation of Screenagers and Education.The bibliographic investigation provided the expansion of knowledge on the subject, supported by authors who address the teaching-learning process mediated by the New Digital Technologies, demonstrating the possibilities and limits of using digital technologies in school as a pedagogical resource in the generation of the Digital Age, contributing to a quality and transformative teaching..

Research on Implementation of a PWM Generation Algorithm for Train Stationary Stopping Frequency

In industrial electronic equipment or communication equipment, a reference clock should be generated for stable operation of the equipment, which requires precise and stable reference frequency generation. As a method for generating this reference frequency, an analog method called PLL (phase locked-loop) has been devised and widely used. However, in order to make a more precise and stable reference frequency simple and economical, a DDS (direct digital synthesizer) has been developed. In this paper, we propose a stable and accurate method to generate a low frequency of the PWM method via pure logic circuit configuration without a microprocessor for digital reference frequency generation. Depending on the electronic communication equipment, the required reference frequency varies from a low frequency to a very high frequency. The reference frequency synthesis required in these frequency bands has been studied in various ways, but in industries such as railways, the low-frequency band based on the DDS method is used. In particular, it is very important to operate without a single operating error or failure in order to obtain information for stopping the train. Therefore, it is necessary to design a pure logic method that excludes a stored program type processor that minimizes the possibility of temporary interruption due to disturbance such as surge or high voltage. Therefore, through this study, the algorithm is implemented so that the duty ratio is output at 50:50, the circuit is configured so that two target frequencies are generated at the same time, and the performance is verified by generating the low-frequency band used for stopping the railway train. It was confirmed that the accuracy and stability were improved compared to the analog method used for stopping the railway train, and it was verified that the frequency resolution was superior to the similar results obtained in the digital frequency synthesis field so far.

Risks and benefits of sharing patient information on social media: a digital dilemma.

Social media (SoMe) has witnessed remarkable growth and emerged as a dominant method of communication worldwide. Platforms such as Facebook, X (formerly Twitter), LinkedIn, Instagram, TikTok, and YouTube have become important tools of the digital native generation. In the field of medicine, particularly, cardiology, attitudes towards SoMe have shifted, and professionals increasingly utilize it to share scientific findings, network with experts, and enhance teaching and learning. Notably, SoMe is being leveraged for teaching purposes, including the sharing of challenging and intriguing cases. However, sharing patient data, including photos or images, online carries significant implications and risks, potentially compromising individual privacy both online and offline. Privacy and data protection are fundamental rights within European Union treaties, and the General Data Protection Regulation (GDPR) serves as the cornerstone of data protection legislation. The GDPR outlines crucial requirements, such as obtaining 'consent' and implementing 'anonymization', that must be met before sharing sensitive and patient-identifiable information. Additionally, it is vital to consider the patient's perspective and prioritize ethical and social considerations when addressing challenges associated with sharing patient information on SoMe platforms. Given the absence of a peer-review process and clear guidelines, we present an initial approach, a code of conduct, and recommendations for the ethical use of SoMe. In conclusion, this comprehensive review underscores the importance of a balanced approach that ensures patient privacy and upholds ethical standards while harnessing the immense potential of SoMe to advance cardiology practice and facilitate knowledge dissemination.

Analyzing the suitability of IEEE 802.11ah for next generation Internet of Things: A comparative study

Hyperconnectivity, real-time processing, and interoperable communication facilities are key to the Next Generation (NG) Internet of Things (IoT). However, existing IoT architectures employ a diverse range of communication technologies to support desired data rates and coverage range, making them more complex to manage. The emerging IEEE 802.11ah standard, marketed as WiFi HaLow™, enables seamless communication among large-scale and energy-efficient sensor/actuator nodes to the Internet. IEEE 802.11ah introduces key features like Restricted Access Window (RAW) for reducing contention, Hierarchical Traffic Indication Map (TIM) and Association Identifier (AID) for efficient scheduling and device identification, and multiple Modulation and Coding Schemes (MCSs) for adaptive data transmission, enhancing IoT connectivity in Next-Generation IoT (NGI) communication. In this paper, we discuss IEEE 802.11ah for NGI concerning different requirements in terms of communication and computation. We survey the suitability of 802.11ah for NGI as compared to the existing state-of-the-art connectivity solutions. Thereafter, an IEEE 802.11ah-based NGI architecture and protocol stack are proposed and discussed, according to the different distinct features of this novel technology. Finally, we conclude by enumerating research and future directions for the proposed network architecture.

Workshop Strategi Revolusioner Pembelajaran Modern Melalui Integrasi Teknologi Cerdas dan Platform Media Sosial bagi Pendidikan Generasi Digital

Education in the current digital era demands the use of smart technology and social media platforms in the learning process to suit the character of the digital generation. However, the competence of lecturers in Indonesia in this regard is still limited. Therefore, the workshop "Revolutionary Strategies for Modern Learning Through the Integration of Smart Technology and Social Media Platforms for Digital Generation Education" is important to implement. This workshop aims to provide understanding and skills to 187 lecturers in implementing technology and social media for learning innovation for digital generation students. Workshop material includes smart technology trends, use of social media platforms, digital evaluation and assessment strategies, as well as discussion of challenges and opportunities for integrating technology and social media in digital era learning. Participants' enthusiasm was quite high and the evaluation results showed that 91% were interested in implementing modern learning strategies after the workshop.

The use of modern educational technologies in the training of midwives and nurses

The article presents the experience of teachers in the training of future midwives and nurses and substantiates the need to use modern educational technologies in the educational process. Currently, the problem of training highly professional and competitive medical workers with secondary medical education in the labor market is becoming particularly relevant, since the requirements for the level of professional knowledge, skills and abilities of medical personnel are increasing every year. The main task of a teacher is not a simple transfer of knowledge, but the motivation of students to take initiative and find ways to apply the knowledge gained in solving various problematic tasks, the formation of a specialist’s personality capable of constant self-development. At the same time, it should be borne in mind that today’s students are representatives of the “digital generation”. These are people who cannot imagine themselves without the Internet, smartphone and social networks. “Buzzers” are more difficult to assimilate and remember information, because all the information is on the Internet. Many students do not know how to build and ask questions based on the material they have read. In the classroom, the teacher must comprehensively ensure the quality of the educational process using modern information technologies and active learning methods based on the principles of “learning through action”, which necessarily imply the development of independence for students. The more active the learning process, the more zoomers are involved in it. The insertion technique or technology of active reading helps students to understand, comprehend and remember the information received. The use of various technologies in practical classes in obstetrics and gynecology that immerse students in professional activities, such as: solving situational problems, case-study, performing manipulations according to an algorithm, conducting role-playing games and lesson conferences, allows you to set an incentive and simulate the conditions for the formation of a specialist’s personality in teaching a future profession. The participation of students in the organization and conduct of role-playing games increases their creative activity, contributes to the formation of professional and communicative competencies. The modern educational technologies used by us in the educational process make it possible to lay the foundation for the professional competence of a specialist, to activate the cognitive activity of students, making them active participants in the educational process, which contributes to improving the effectiveness of professional training.

Longitudinal Examination of the Relationship Between Virtual Companionship and Social Anxiety: Emotional Expression as a Mediator and Mindfulness as a Moderator.

As the interweaving of human interaction and Artificial Intelligence (AI) intensifies, understanding the psychological impact, especially regarding social anxiety, of engaging with AI-driven virtual companionship becomes crucial. While a substantial body of research on social anxiety has concentrated on interactions between individuals, both online and offline, there is a noticeable deficit in explorations concerning how human-computer interactions influence social anxiety. This study offers a comprehensive, longitudinal examination of this underinvestigated relationship, intricately dissecting the roles of emotional expression and mindfulness within the context of AI-based interactions. We use social support theory and emotion regulation theory as our theoretical foundation. Data were collected from 618 undergraduate students in Eastern China over two intervals (May 15, 2023 and September 15, 2023). We utilized SPSS 26.0 to conduct descriptive statistics, while AMOS 25.0 facilitated multi-group confirmatory factor analysis (CFA) and the cross-lagged panel modeling. Our findings indicate that as the frequency of virtual companionship use increases, there's a decline in online social anxiety but a rise in offline social anxiety. Emotional expression emerges as a significant mediator, with heightened emotional expression leading to reduced social anxiety in both contexts. Mindfulness serves as a potent moderator, suggesting its protective role against the potential pitfalls of frequent virtual interactions. This research not only deepens our theoretical understanding of the dynamics between virtual interactions and social anxiety but also serves as a cornerstone for future endeavors aimed at optimizing AI and devising therapeutic interventions tailored for the digital generation.

Pengasuhan Ideal Bagi Generasi Alpha

The alpha generation is the generation born in 2011 and is expected to end in 2025. This generation is also called the digital generation. This alpha generation was raised in the technological era and also has a very important influence on the progress of the times. His upbringing must also receive special attention, especially from those closest to him, namely parents. Ideal parenting for the alpha generation needs to be implemented by parents. The type of research we use is qualitative research. Where data is collected by means of interviews, documentation and observation. And then conclusions are drawn regarding ideal parenting for the alpha generation. The results of this research show that there is a very close relationship with ideal parenting and the alpha generation. This is shown by the results of interviews that we have conducted that many parents complain about their children's attitudes, and parents lack understanding about parenting.

DEVELOPMENT OF VIDEO LEARNING MATERIALS ON ANIMAL AND HUMAN MUSCULAR ORGANS

Today's students grow and develop in the digital era, where access to various information via electronic media has become commonplace. Therefore, the development of learning videos is not only relevant but also an urgent need to answer the characteristics of this digital generation. This research aims to create learning videos on animal and human movement organs that are suitable for use in learning. This research is development research that uses the ADDIE (Analysis, Design, Development, Implementation, Evaluation) model. Based on the presentation of research results, information was found that learning videos on animal and human movement organs were declared suitable for use in learning with an average percentage of 85.83% from media experts, 91.66% from material experts, and 87.5% of student responses in the category worthy. These findings highlight the importance of integrating technology in education to facilitate more effective learning. Therefore, adjusting the curriculum and developing learning materials that support using video as an educational tool is necessary. Apart from that, aspects of technology accessibility and affordability need to be paid attention to so that the benefits of video-based learning can be felt equally by all students.

Review on Digital Camouflage Pattern Generation System Using Artificial Intelligence

In contemporary military and civilian environments, the role of camouflage patterns in providing concealment and protection is paramount. The evolution of traditional camouflage into digital formats has paved the way for innovative design techniques, and the integration of artificial intelligence (AI) has revolutionized the process. This comprehensive review paper delves into the historical context, methodologies, challenges, and prospects of AI-driven digital camouflage pattern generation systems. The review commences with an exploration of the historical development of camouflage patterns, tracing their journey from basic naturalistic designs to the intricacies of digital patterns. It emphasizes the significant shift towards digitalization, enabling greater flexibility, adaptability, and effectiveness in camouflage design. The infusion of AI into this realm has ushered in a new era of possibilities and enhancements. Key components of AI-based camouflage pattern generation are investigated in depth. The paper highlights the crucial role of data collection and preprocessing, emphasizing the necessity of diverse and high-quality datasets to train AI models effectively. It also examines feature extraction methods, showcasing how image analysis, computer vision techniques, and machine learning algorithms aid in identifying relevant patterns and textures present in various natural environments. The core of AI-driven camouflage pattern generation revolves around the selection and application of machine learning algorithms. The review provides comprehensive insights into various AI approaches, including deep learning, genetic algorithms, neural networks, and evolutionary computing, while highlighting their respective strengths and limitations in the context of camouflage pattern design. It underscores the capabilities of convolutional neural networks (CNNs) in recognizing complex patterns and textures and discusses the potential of generative adversarial networks (GANs) in generating realistic and adaptable camouflage designs. Additionally, the review addresses the critical aspect of evaluating the effectiveness of AI-generated camouflage patterns. It discusses common evaluation metrics such as detection and recognition rates, human perception studies, and real-world testing scenarios. The paper acknowledges the challenge of striking a balance between pattern effectiveness, aesthetic appeal, and human factors, emphasizing the need for holistic evaluation criteria. Despite the promise and progress in AI-based camouflage pattern generation, the review acknowledges existing challenges and limitations. These include the need for extensive and diverse training datasets, substantial computational resources, and ethical considerations surrounding the potential misuse of AI-generated camouflage patterns. Furthermore, it underscores the importance of environmental sustainability by considering the ecological impact of camouflage pattern materials and production processes. Practical applications of AI-driven digital camouflage patterns are explored across military and civilian sectors. In military contexts, AI-generated patterns offer adaptability in dynamic combat environments, enhancing the safety and effectiveness of personnel and equipment. In civilian applications such as wildlife conservation and disaster relief, AI-based camouflage patterns find utility in minimizing human and equipment visibility. In conclusion, this comprehensive review provides a panoramic view of the intersection between digital camouflage pattern generation and artificial intelligence. It highlights the transformative potential of AI in reshaping camouflage design, making it more effective, adaptable, and versatile. Looking ahead, the review outlines future research directions, including the exploration of explainable AI for pattern generation, integration of multispectral and thermal considerations, and ethical implications associated with AI in camouflage design. As AI technologies continue to advance, they hold the promise of fundamentally altering the landscape of digital camouflage patterns, contributing to enhanced concealment and protection across diverse domains and scenarios.

Investigating the role of Emotions on the learning effectiveness in VR enabled teaching interventions in school

Technology advancements are known to frequently have direct and significant effects on the educational sector. There is an increasing trend in the academic use of Virtual Reality to demonstrates usability, utility, and amusement of the learner. The use of technological tools like virtual reality (VR) helps people develop the digital-age literacy, creative thinking, communication, teamwork, and problem-solving abilities that are required to transform information rather than merely consume it. VR improves standard courses to accommodate students' various learning demands. Applications for skill mastery and training are now possible because to recent advancements in digital reality generation. The learning is made more enjoyable and productive for the user by using real like photos, videos, animations etc., which provide augmented knowledge about the surroundings. Learners commitment is a significant predictor of attainment, retention and diligence for enhanced learning. The research papers findings reported that the VR environment increases the learning outcomes and offer many benefits for devoting time and money to them in higher and tertiary educational settings. For current research 347 students had been assigned to VR technology for learning. The outcome of this research supports the objective that the emotions affect learning using the VR technologies. The results revealed that the positive emotions affect the Ergonomic, Learning, Hedonic and overall learning. Emotions influence students' desire to study, based on their eagerness, inquisitiveness and willingness to accomplishing their goals of positive outcomes. Emotions make the implementation of learning approaches easier. Additionally, emotions can influence self-control techniques.

Design and Implementation of DDS Signal Generator Based on FPGA

With the rapid development of semiconductor technology, the digital circuit of the control chip gradually replaces the analog circuit of the traditional signal generator, which improves the performance of the signal generator and reduces the cost of research, development and production. This paper proposes a design scheme that takes FPGA chip as the control center. The signal generator system mainly includes DAC module, FPGA module and key module. The system uses Verilog language to develop the sine wave digital signal generation and key switching frequency control logic circuit on FPGA. The frequency control word circuit in the FPGA module provides multiple frequency sine wave selection, and the look-up table circuit realizes the reading of different phases by controlling the read address of the ROM. The 14-bit high-speed DAC module converts the digital signals sent by FPGA into analog signals. The DAC module integrates low-pass filter processing to increase the smoothness of the signal. After testing, the system meets the design requirements.

A machine learning based-method to generate random circle-packed porous media with the desired porosity and permeability

The generation of digital porous media facilitates the fabrication of artificial porous media and the analysis of their properties. The past random digital porous medium generation methods are unable to generate a porous medium with a specified permeability. In this work, a new method is proposed to generate a random circle-packed digital porous medium with a specified porosity and permeability. Firstly, the process of generating the random circle-packed digital porous medium with a specified porosity is detailed. Secondly, the permeability of the digital porous medium is calculated by the multi-relaxation time lattice Boltzmann method. A total of 3,000 digital porous medium samples are generated, and their microstructure data and permeabilities are prepared for the training of a convolutional neural network (CNN) model, which is then applied to effectively predict the permeability of a digital porous medium. Finally, our method is elaborated and the choice of target permeability in this method is discussed. Our approach has the potential to be applied to the generation of other types of porous media.

A smart decentralized identifiable distributed ledger technology‐based blockchain (DIDLT‐BC) model for cloud‐IoT security

AbstractThe most important and difficult challenge the digital society has recently faced is ensuring data privacy and security in cloud‐based Internet of Things (IoT) technologies. As a result, many researchers believe that the blockchain's Distributed Ledger Technology (DLT) is a good choice for various clever applications. Nevertheless, it encountered constraints and difficulties with elevated computing expenses, temporal demands, operational intricacy, and diminished security. Therefore, the proposed work aims to develop a Decentralized Identifiable Distributed Ledger Technology‐Blockchain (DIDLT‐BC) framework that is intelligent and effective, requiring the least amount of computing complexity to ensure cloud IoT system safety. In this case, the Rabin algorithm produces the digital signature needed to start the transaction. The public and private keys are then created to verify the transactions. The block is then built using the DIDLT model, which includes the block header information, hash code, timestamp, nonce message, and transaction list. The primary purpose of the Blockchain Consent Algorithm (BCA) is to find solutions for numerous unreliable nodes with varying hash values. The novel contribution of this work is to incorporate the operations of Rabin digital data signature generation, DIDLT‐based blockchain construction, and BCA algorithms for ensuring overall data security in IoT networks. With proper digital signature generation, key generation, blockchain construction and validation operations, secured data storage and retrieval are enabled in the cloud‐IoT systems. By using this integrated DIDLT‐BCA model, the security performance of the proposed system is greatly improved with 98% security, less execution time of up to 150 ms, and reduced mining time of up to 0.98 s.

Single phase AC power load profile emulator

This paper deals with the realization and design of a consumption profile emulator intended for the validation of different element energy models of a stand-alone wind and photovoltaic system, associated with electrochemical energy storage [1]. The emulator is designed to vary active power but in the near future it will also be used to load simulation with reactive power. Energy models are then inserted in a sizing optimization algorithm in order to minimize the Global Energy Requirement (GER) of the whole system [2]. Afterwards, we will focus on the emulator power part dimensioning and then its modelling in view of the stand-alone system controlled by an active power reference. Moreover, the digital profile generator is described. The impact on the DC bus capacitor current, caused by the frequency difference between the grid and the inverter, has also been tackled. Finally, experimental results are shown.