Architectural Framework Research Articles

IOTA-Based Distributed Ledger in the Mining Industry: Efficiency, Sustainability and Transparency.

The paper presents a traceability framework founded upon a methodological approach specifically designed for the integration of the IOTA-based distributed ledger within the mining industry. This framework constitutes an initial stride towards the certification and labelling of sustainable material production. The efficacy of this methodology is subject to real-world evaluation within the framework of the European Commission funded project DIG_IT. Within the architectural framework, the integration of decentralized identifiers (DIDs) and the IOTA network are instrumental in effecting the encryption of data records, with associated hashes securely anchored on the explorer. Recorded environmental parameters, encompassing metrics such as pH level, turbidity, electrical conductivity, and emissions, serve as tangible evidence affirming their adherence to prevailing regulatory standards. The overarching system architecture encompasses a sophisticated Industrial Internet of Things platform (IIoTp), facilitating the seamless connection of data from a diverse array of sensors. End users, including governmental entities, mining managers, and the general public, stand to derive substantial benefits from tailored dashboards designed to facilitate the validation of data for emission compliance.

ПОБУДОВА МОДЕЛЕЙ ОПТИМАЛЬНОЇ ВЗАЄМОДІЇ ДЖЕРЕЛ РОЗОСЕРЕДЖЕНОЇ ГЕНЕРАЦІЇ ТА СИСТЕМ АКУМУЛЮВАННЯ ЕНЕРГІЇ У МЕЖАХ MICROGRID СИСТЕМ

The Problems of integration of DG and RES, as well as energy storage systems (ESS) in the Microgrid systems are investigated in this paper. It is proposed to consider Microgrid models of systems with different types of DG and RES (DER) within the framework of the SGAM architecture, and to distinguish three types of DG and ESS: " Non controllable DER (T1)", "Controllable DER (T2)" and "DER with storage systems (T3)" with further division into subtypes. This method makes it possible to display the multifaceted interaction of systems with DER and ESS within the framework of Microgrid systems. On the basis of the proposed mechanism, the formulation of the problem of optimal interaction of DG sources and ESS within the boundaries of Microgrid systems within the framework of game theory is formalized. An optimization procedure is proposed within the framework of a formalized game, which is based on mechanisms of dynamic pricing and allows to find the most optimal solutions for the game task. References 13, figures 8, table 1.

An architectural framework of elderly healthcare monitoring and tracking through wearable sensor technologies

The growing elderly population in smart home environments necessitates increased remote medical support and frequent doctor visits. To address this need, wearable sensor technology plays a crucial role in designing effective healthcare systems for the elderly, facilitating human–machine interaction. However, wearable technology has not been implemented accurately in monitoring various vital healthcare parameters of elders because of inaccurate monitoring. In addition, healthcare providers encounter issues regarding the acceptability of healthcare parameter monitoring and secure data communication within the context of elderly care in smart home environments. Therefore, this research is dedicated to investigating the accuracy of wearable sensors in monitoring healthcare parameters and ensuring secure data transmission. An architectural framework is introduced, outlining the critical components of a comprehensive system, including Sensing, Data storage, and Data communication (SDD) for the monitoring process. These vital components highlight the system's functionality and introduce elements for monitoring and tracking various healthcare parameters through wearable sensors. The collected data is subsequently communicated to healthcare providers to enhance the well-being of elderly individuals. The SDD taxonomy guides the implementation of wearable sensor technology through environmental and body sensors. The proposed system demonstrates the accuracy enhancement of healthcare parameter monitoring and tracking through smart sensors. This study evaluates state-of-the-art articles on monitoring and tracking healthcare parameters through wearable sensors. In conclusion, this study underscores the importance of delineating the SSD taxonomy by classifying the system's major components, contributing to the analysis and resolution of existing challenges. It emphasizes the efficiency of remote monitoring techniques in enhancing healthcare services for the elderly in smart home environments.

Exploring the enablers of organizational excellence by human capital-driven innovation ecosystems

PurposeThe purpose of this study is to discuss how organizations can drive organizational performance through human capital (HC) investment through systematic thinking.Design/methodology/approachThis study analyzes three companies from various industries, adopts systems thinking and uses three leading indicators from the balanced scorecard framework to explore the effects of strategic orientations for HC on innovation ecosystems and organizational performance.FindingsIn terms of academic contributions, this study broadly verifies the innovation ecosystem model for organizations and reveals that customer-oriented, internal process-oriented and innovation learning-oriented HC strategies reinforce the pathways in organizational innovation ecosystems, thereby enriching the literature on innovation ecosystems.Practical implicationsIn terms of practical contributions, this study provides a novel HC-based perspective on developmental dynamics and details the relationships among each aspect of the innovation ecosystem and HC strategies.Originality/valueThe proposed architecture and strategic frameworks provide a reference for corporations to implement strategic orientations of HC, drive operations in organizational innovation ecosystems and improve organizational performance.

Energy efficiency considerations in software‐defined wireless body area networks

AbstractWireless body area networks (WBAN) provide remote services for patient monitoring which allows healthcare practitioners to diagnose, monitor, and prescribe them without their physical presence. To address the shortcomings of WBAN, software‐defined networking (SDN) is regarded as an effective approach in this prototype. However, integrating SDN into WBAN presents several challenges in terms of safe data exchange, architectural framework, and resource efficiency. Because energy expenses account for a considerable portion of network expenditures, energy efficiency has to turn out to be a crucial design criterion for modern networking methods. However, creating energy‐efficient systems is difficult because they must balance energy efficiency with network performance. In this article, the energy efficiency features are discussed that can widely be used in the software‐defined wireless body area network (SDWBAN). A comprehensive survey has been carried out for various modern energy efficiency models based on routing algorithms, optimization models, secure data delivery, and traffic management. A comparative assessment of all the models has also been carried out for various parameters. Furthermore, we explore important concerns and future work in SDWBAN energy efficiency.

Statistical Analysis and Accuracy Assessment of Improved Machine Learning Based Opinion Mining Framework

Sentiment analysis, also known as opinion mining, plays a crucial role in understanding and extracting valuable insights from textual data in various domains, including social media, customer feedback, and product reviews. This research presents an in-depth examination of an improved machine learning-based sentiment analysis framework, focusing on its statistical analysis and accuracy assessment. The research begins by introducing the framework's architecture, which incorporates advanced machine learning algorithms and natural language processing techniques. These enhancements aim to provide a more nuanced and context-aware sentiment analysis, addressing the limitations of traditional approaches. To evaluate the performance of the proposed framework, a comprehensive statistical analysis is conducted. Various statistical metrics, such as precision, recall, F1-score, and accuracy, are employed to assess its effectiveness in classifying text sentiments accurately. Additionally, the study explores the impact of different feature engineering and pre-processing techniques on model performance. The results of this study demonstrate the significant improvements achieved by the enhanced sentiment analysis framework in terms of accuracy and reliability. The statistical analysis confirms its superior performance in capturing subtle sentiment nuances, making it a valuable tool for applications requiring precise sentiment understanding. In conclusion, this research contributes to the field of sentiment analysis by presenting an improved machine learning-based framework and conducting a rigorous statistical assessment of its accuracy. The findings provide valuable insights for researchers and practitioners seeking to enhance sentiment analysis techniques and apply them effectively in various domains..

Perencanaan Arsitektur Sistem Informasi Sekolah dengan Pendekatan Togaf-Adm dalam Penerapan Standar Nasional Pendidikan

To help the School achieve SNP, enterprise architecture modeling brings its business strategy and technology together. The Open Group Architecture Framework (TOGAF) can be used as the framework to organize the structures and objects related to the organization in architectural modeling. A method, such as the Architecture Development Method (ADM), is also used to determine the Enterprise Architecture in detail.The goal of information system architectural design analysis is to get a clear image of the information system and better communicate to users how it will operate. In this study, a generic architectural model design connected to the organization's vision and goal was generated using the TOGAF technique as a tool for building and designing enterprise architecture. The study's findings point to a connection between various types of architecture, starting with business architecture, application architecture, and information system architecture, which can create a framework for constructing and developing integrated information systems in schools that can be used as a guide by all organizational units. The outcomes of combining the three primary activities' information system planning and application efforts will be used as tools to support the school's vision, purpose, and goals.

Spreading the aroma of spices across India: the brand of JK Masale

Research methodology Interviewing the protagonist and collecting information from secondary resources such as company documents, company and competitor websites, industry reports and online databases like Euromonitor International. Case overview/synopsis The case explores the metamorphosis of JK Masale from a small-scale family business in India to a regional player. Over a period of six decades, JK Masale (JKM) has emerged against the backdrop of a fiercely competitive spice industry. India, being a confluence of varied regional cultures, poses a diverse consumption pattern. It varies to a great extent with respect to the specific food habits prevalent in each climatic zone of the country. While the brand had successfully captured the Eastern Market and the western market of the country, Mr. Vikash Jain, Managing Director of JK Masale, contemplated to venture in Southern India and introduce new product categories. The case delves into one of the major challenges faced by JKM over the brand architecture and labelling across product categories. Thus, the case provides an excellent opportunity for budding managers to: analyse the company’s performance in the backdrop of a dynamic competitive environment; understand the nature of strategic decision-making and its appropriateness for a small family-owned business; evaluate a brand amongst brands on the architectural framework and select appropriate brand architecture for new products; and understand applicability and risks associated with growth strategies. Complexity academic level The case study can be positioned in both undergraduate and postgraduate level programs for courses on marketing strategy and brand management. Primarily, this case would be ideal to discuss brand relationship and brand architecture in the given context. Instructors have an option to cover concepts like market structure, company analysis, growth strategies and emergent and deliberate strategy through the case.

Cretaceous stratigraphic framework and sedimentary architecture, Pakistan: signatures of rift–drift tectonics and submarine volcanism along the western continental margin of the Indian Plate

Abstract The lithostratigraphy, biostratigraphy and depositional environments of the Cretaceous successions in Pakistan were investigated to reveal the major geological events, including local, regional and global-scale tectonics, phases of volcanism, basin condensation, emergence of structural highs and episodes of non-deposition. The succession is entirely missing at Salt Range but is excellently exposed in the Kirthar–Sulaiman Fold-Thrust belts. Such deviating nature (e.g. Hazara, Kala Chitta, Surghar and Kohat), suggesting episodical tectonic activities, is associated with inter–intra rifting and drifting of the India–Madagascar–Seychelles and Antarctica–Australian plates during the Cretaceous. Correspondingly, several unconformities within the Cretaceous succession at numerous stratigraphic intervals consistently attest to the effect of tectonics throughout the period. The recognized unconformities over Kawagarh, Lumshiwal, Parh and Fort Munro formations testify to episodic uplifts on local and/or regional scales during the Coniacian–Santonian, Coniacian–Maastrichtian, Campanian and Maastrichtian in response to the separation of Madagascar from the India–Seychelles Plate. In contrast, there was continuous sedimentation of carbonate, clastic and/or submarine volcanics in the Kirthar and Indian–Eurasian suture zone. Significant geological events in the restricted regions, e.g. local-scale submarine volcanism (Bibai Formation), ironstone deposition (Dilband Formation) and basin condensation (Khuzdar), were also associated with such rifting–drifting phases along the WNW margin of the Indian Plate.

Design and evaluation of architectural framework for a secured local energy market model based on distributed ledger technologies

AbstractBlockchain‐based local energy markets have been proposed in recent years to provide a market platform for local prosumers and consumers to exchange their energy in a secured, transparent and tamper‐proof manner. However, there are still some challenges regarding the scalability of blockchain to handle high computational models/algorithms/contracts as this may result in the extension of the block size of the blockchain network and very high gas costs. Also, there is still the problem of transparency as regards General Data Protection Regulation because the full visibility of data in the blockchain may collide with privacy in some settings. A framework is presented that combines the on‐chain features of blockchain with trusted execution environments to develop a transparent, tamper‐resistant, low operation cost, scalable and resilient hybrid model architecture for local electricity trading. The model architecture was simulated in German community case scenarios for a varying number of prosumers and consumers to show its applicability. The simulation results show that the model was able to solve the scalability problem of blockchain for the local energy market application as the market model is run in a trusted environment where the integrity of the model can be verified by the participants.

Optimizing Transportation Services: Using TOGAF for Efficiency and Quality

In the rapidly expanding transportation industry, it is crucial to make focused and coordinated efforts to improve services with maximum efficiency. This paper seeks to explore the optimization of the Enterprise Architecture approach to effectively attain the primary objectives of the transportation industry, specifically the enhancement of service quality. The main emphasis is on implementing the enterprise architecture methodology of the open group architecture framework on a strategic basis. This paper examines how Enterprise Architecture can offer systematic and quantifiable solutions by identifying problems in infrastructure and operational processes. The research aims to provide comprehensive insights into how the Enterprise Architecture concept can optimize operational efficiency and streamline processes in the provision of transportation services. By implementing TOGAF, it is expected that the integration of systems will be seamless, technology usage will be optimized, and customer experiences will be improved. To summarize, this paper demonstrates the desire to improve transportation services. It explains how Enterprise Architecture methods, specifically within the TOGAF framework, can directly lead to advantages such as increased operational efficiency and improved service quality. This paper aims to be easily understood by a wide range of readers, including management, Information Technology professionals, and other stakeholders in the transportation industry. It avoids using overly technical language to ensure accessibility and comprehensibility.

A Meta-Model Architecture and Elimination Method for Uncertainty Modeling

Uncertainty exists widely in various fields, especially in industrial manufacturing. From traditional manufacturing to intelligent manufacturing, uncertainty always exists in the manufacturing process. With the integration of rapidly developing intelligent technology, the complexity of manufacturing scenarios is increasing, and the postdecision method cannot fully meet the needs of the high reliability of the process. It is necessary to research the pre-elimination of uncertainty to ensure the reliability of process execution. Here, we analyze the sources and characteristics of uncertainty in manufacturing scenarios and propose a meta-model architecture and uncertainty quantification (UQ) framework for uncertainty modeling. On the one hand, our approach involves the creation of a meta-model structure that incorporates various strategies for uncertainty elimination (UE). On the other hand, we develop a comprehensive UQ framework that utilizes quantified metrics and outcomes to bolster the UE process. Finally, a deterministic model is constructed to guide and drive the process execution, which can achieve the purpose of controlling the uncertainty in advance and ensuring the reliability of the process. In addition, two typical manufacturing process scenarios are modeled, and quantitative experiments are conducted on a simulated production line and open-source data sets, respectively, to illustrate the idea and feasibility of the proposed approach. The proposed UE approach, which innovatively combines the domain modeling from the software engineering field and the probability-based UQ method, can be used as a general tool to guide the reliable execution of the process.

Agile Application Landscape Planning in Energy Sector – Architectural Experiences

The continuously changing and developing technology framework and IT infrastructure create novel approaches and possibilities all over the industry spectrum. Thus the energy and its IT supporting segment cannot be an exception either. Nowadays it is hard to imagine any kind of work process on energy generation, transmission, distribution or consumption filed without IT application solutions. To keep this portfolio transparent and effective a methodology is needed for developments and strategy planning. In this paper enterprise application landscape planning experiences and recommendations are introduced. The approach effectively combines the TOGAF (The Open Group Architecture Framework) and Agile methods. At the end of a five years ‘journey’, the evolution can be followed from a target architecture planning approach to a novel solution which is in use right now. To conclude this work a group of techniques and methods are suggested for the application of these solutions for a sustainable and forward-looking application portfolio at a reasonable cost level.

Pro-Social Solutions in Residential Environments Created as a Result of Participatory Design

The pro-social dimension of contemporary housing is one of the main postulates of sustainability. The work aims to draw attention to the residential environment created as a result of participatory design and to examine how and to what extent it supports the creation of social contacts and the identification of inhabitants with their place of residence. The study included three housing projects prepared by the communities: B.R.O.T Aspern, Seestern Aspern, and LiSA. They are part of one urban block located in Aspern, part of the 22nd district of Vienna—Donaudstadt. The case studies were analysed using the same ten evaluation criteria. They were established based on previously developed theories of sociologists, psychologists and architects on the features of architecture and spaces supporting the formation of neighbourly contacts and the identification of users with their place of residence. The research showed that although the same evaluation criteria were used, each design group found an individual way to meet them in their project such as innovative design elements, unique community spaces, or user-driven features. This is proof that not only the place where architecture is created, has its conditions, and the planners and architects creating the project give it an individual, pro-social character, but also the users who create it. However, it is important to create an appropriate organizational, legal architectural and urban framework for the participation process to be successful.

Advanced Framework for Integrating Risks into an Organizational Setting

Enterprise risk management (ERM) is a systematic approach that strategically assesses risk management from a holistic standpoint, including the whole company or enterprise. The aforementioned approach is a top-down strategic methodology designed to detect, evaluate, and proactively address possible risks, threats, hazards, and other sources of damage that have the potential to impede an organization's operations and goals, or result in negative outcomes. ERM is a prominent framework that assists businesses in the identification, evaluation, and management of hazards at the enterprise level. Scholars identified many elements that serve as motivators for enterprises to participate in the process of ERM. These reasons include the likelihood of encountering financial hardship and the subsequent expenses, subpar profits performance, potential development prospects, and the autonomy of the board. The implementation of an effective risk management plan might potentially serve as a competitive advantage for organizations, facilitating their growth. This elucidates the extensive corpus of research devoted to ERM. This paper examines the fundamental connections between Enterprise Architecture and Risk Management and presents a proposed architectural framework for effectively incorporating risk considerations within the broader organizational context. This article presents a proposed strategy for attaining a comprehensive and shared perspective on hazards throughout an organization.

INFORMATION TECHNOLOGY OF SOFTWARE DATA SECURITY MONITORING

The article proposes an overview of an information technology of software data security monitoring with the aim of increasing the security of auxiliary and end-user software in run-time using the designed universal architecture with the capabilities of synchronized data security validation processes in client-server interactions and integration into software development technologies using unified interfaces for specifying extensible sets of validation rules. An analysis of the subject area was conducted, during which it was established that the tasks of software data security validation are included in the requirements of well-known data security standards, and the related vulnerabilities are noted as highly important. It was also established that the traditional monitoring of only software input data is not enough, therefore the problem of security monitoring of various categories of software data is relevant. The capabilities of existing tools to monitor security and correctness of software data are incomplete: focus on certain categories of data, platform dependency, narrow integration capabilities with other software development tools, limited usage, complex or limited extensibility, difficult reuse of well-known verified solutions etc. Based on the analysis of the existing software data security monitoring tools, the cons of the existing implementations were identified, and a universal architecture of the software framework was proposed as a solution. The analysis of the vulnerabilities of various categories of software data was conducted along with the recommended methods of implementation of data security. Discovered methods of data security implementation were used in the proposed solution. The article examines the structure of the proposed information technology, provides the universal architecture of the software framework, demonstrates the verification of the work of the developed tool, and provides the assessment of the effectiveness of usage of the data security monitoring framework in software development. The proposed architecture and directions of further improvements of the framework allow significant extension of its functionality and easy integration into popular software development technologies. It is assumed that the developed information technology of software data security monitoring will be widely used in commercial software development as well as in educational and scientific appliance.

The protection of colonial heritage in the face of socio-economic dynamics (case study of downtown Ain-Beida-Algeria)

Algeria has a rich heritage due to the succession of various civilizations on its territory. However, the authenticity and cultural significance of its built heritage is being lost. The historic center of Ain-Beida, in particular, has undergone unplanned changes leading to inconsistency and lack of integration. To understand the factors that have led to the degradation of its architectural and urban framework, we have analyzed the urban policy and heritage management of the city, as well as the urban dynamics that have occurred in its historic center. Our analysis shows that the deterioration of the colonial legacy is a result of the urban strategy adopted by the Algerian state, the circumstances of the country, and the proliferation of urban dynamics. These changes have had a significant impact on the physical and functional aspects of the colonial buildings. In Algeria, the succession of multiple civilizations on its territory has given it a strong heritage potential. Lately, the built heritage tends to lose its authenticity, its symbolic and cultural dimension. The city of Ain-Beida, its historic center has continued to sketch images of inconsistency and lack of integration following anarchic mutations. Faced with this observation, we aim to focus on the factors that have led to the alteration of its architectural and urban framework. To do this, this contribution opts for a methodology which, on the one hand, is focused on the examination of the urban policy of the city and on the management of the heritage, and on the other hand, on the analysis of the urban dynamics occurred on its old center. The result of the analysis showed that the urban strategy adopted by the Algerian state through its legal arsenal and its institutional approaches, in addition to the circumstances of the country, translated by the opening of the marked, and which led to the proliferation of urban dynamics, all played a role in the deteriration of the colonial legacy which was exposed to profound changes in its physical and/or functional aspect.

Cloud-Based Framework for Data Exchange to Enhance Global Healthcare

Healthcare is a global pillar, with a surge in the adoption of information technology, particularly in hospital information systems (HIS). However, global protocols are needed to meet the growing demand for data interchange, practical implementations for sharing healthcare data among facilities, and a pressing need for processing and storage infrastructure to handle the escalating volume of healthcare data. This study proposes a solution for efficient data transmission using electronic health records (EHR) and Platform-as-a-Service (PaaS) to leverage cloud computing resources. This framework's architecture boasts robustness and adaptability, providing all registered software programs access to data interchange services. Through a comprehensive examination of the framework's structure, the essay also explores the most effective data-sharing methods. It identifies the healthcare system's optimal EHR data model. According to multiple healthcare experts, the operational building of this framework is expected to catalyze the growth of healthcare institutions both nationally and within specific industries.

Assessment of 5G Connectivity for UAV Operations in Urban Environments: An Analysis of Network Performance and UAV Communication Architecture

This article presents an in-depth analysis of the integration of 5G connectivity for unmanned aerial vehicle (UAV) operations in urban environments, focusing on network performance and the architectural framework necessary for optimal UAV communication. As UAVs become increasingly prevalent in urban applications, from surveillance to delivery services, the demand for robust and reliable communication systems has become paramount. This study explores the unique challenges posed by urban settings, such as signal obstruction and high-density network traffic, and examines how 5G technology offers solutions through advanced features like beamforming. By detailing the setup and evaluation of a UAV communication architecture that incorporates 5G modules, including the use of the NVIDIA Jetson AGX Orin Developer Kit for real-world testing, this article highlights the significant improvements in data rate, latency, and reliability achieved with 5G networks compared to traditional communication technologies. The findings underscore the transformative potential of 5G connectivity in enhancing UAV operational efficiency and reliability in complex urban landscapes. Through case studies and practical insights, the article also provides a glimpse into the future of urban UAV applications, paving the way for further research and development in this dynamic field.

Secure-Tech Triad Enhancing Electronic Voting System Security through Integrated Blockchain, AI, and IoT Technologies

As electronic voting systems become increasingly prevalent, the urgent need for robust security measures to combat evolving cyber threats has never been more critical. This paper introduces a ground-breaking architectural framework Secure-Tech Triad that synergistically combines Blockchain technology with Machine Learning (ML) algorithms and Internet of Things (IoT) capabilities to enhance the security and efficiency of electronic voting systems. This architectural framework utilizes a modified Proof-of-Stake (PoS) Blockchain algorithm, a Random Forest ML model for real-time anomaly detection, and an MQTT protocol for IoT-based data collection to create a more secure, efficient, and responsive voting environment. Rigorous testing and evaluation show that the integrated framework significantly outperforms existing Blockchain-only solutions in key performance indicators, such as security breach detection rate, system latency, and cost efficiency. This integrated approach is the best-performing model, achieving a 97% security breach detection rate, a 30% reduction in system latency (down to 2.3 seconds), and a 25% decrease in operational costs. These results underscore the combined effectiveness of Blockchain, AI, and IoT in enhancing security, speed, and cost-effectiveness. Specifically, the Random Forest algorithm has been instrumental in achieving an exceptional security breach detection rate, while IoT data collection has played a pivotal role in enabling real-time anomaly detection and proactive threat mitigation.