Management Architecture Research Articles

Deep reinforcement learning based solution for sustainable energy management in photovoltaic systems

Photovoltaic solar cells (PSCs) have emerged as a practical solution to meet the growing energy demands, offering advantages such as high efficiency, flexibility, and adaptability to diverse materials and manufacturing methods. However, fully realizing the potential of solar energy requires the development of affordable and widely applicable solar cells. This article underscores the crucial role of PSCs in reliably addressing future energy needs. Despite their inherent benefits, there remains a significant challenge in improving the affordability and applicability of these solar cells. To tackle these challenges, the article introduces a novel approach called Sustainable Energy Management Architecture in Photovoltaic systems (SEMA), which integrates the robust capabilities of Deep Reinforcement Learning (DRL) and the Deep Q-Network (DQN) technique with Proximal Policy Optimization (PPO) methods. By employing this comprehensive approach, the goal is to enhance cost-effectiveness and promote broader adoption of PSCs. The novelty of the research lies in the integration of DQN with PPO. This underscores the importance of exploring innovative manufacturing techniques and materials to overcome current limitations and fully unlock the potential of solar energy. Sustained efforts in this direction are essential for advancing and implementing PSCs as a reliable and sustainable energy solution for the future. Continuous research and development will drive improvements in solar cells' affordability, applicability, and efficiency. By addressing these challenges and harnessing advanced techniques like DRL-DQN and PPO, the objective is to pave the way for widespread and cost-effective adoption of PSCs, ultimately contributing to a greener and more sustainable energy future.

Retraction Notice: A Directed Acyclic Graph Based Architecture for Optimal Operation and Management of Reconfigurable Distribution Systems With PEVs

Retraction Notice: A Directed Acyclic Graph Based Architecture for Optimal Operation and Management of Reconfigurable Distribution Systems With PEVs

Towards a taxonomy for business capabilities determining data value

AbstractData and its valuation have gained vital significance in academia and enterprises, coinciding with diverse data valuation approaches encompassing various layers, dimensions, and characteristics. This paper assesses data value determination through a business capability lens based on the TOGAF standard. The paper encompasses (a) constructing a Data Valuation Business Capability (DVBC) taxonomy and (b) validating the taxonomy using two existing data valuation concepts from academia. The methodology involves information systems taxonomy development techniques backed by a previously conducted systematic literature review of 64 articles. The resultant taxonomy comprises four business capability layers, nine dimensions, and 36 characteristics. These layers and dimensions offer business, technology, and organizational perspectives, reflecting the interdisciplinary nature of data valuation alongside an enterprise architecture. Characteristics within these layers and dimensions are either exclusive or non-exclusive based on their contents. The compiled findings meet both objective and subjective quality criteria. The implications of the DVBC are multifaceted, influencing scholars and professionals alike. Scholars gain a cohesive tool enhancing transparency in the extensively debated data value domain, fostering linkages among information systems, enterprise architecture management, and data management. This empowers the progress in developing comprehensive data valuation concepts. Additionally, professionals may employ the DVBC taxonomy as a lighthouse and guiding tool, fostering internal dialog on data valuation. This entails elevating data valuation to a pivotal business capability, necessitating collaborative, regular assessment, and enhancement involving business and technological stakeholders. By adopting this taxonomy, the challenge of consistently determining data value can be effectively addressed in both academia and enterprises.

Design of Gamified Crowdsourcing for Tourism Participatory of Urban Problem the Management of Smart City Initiatives

Chiang Mai is a well-known province in Thailand, attracting a large number of tourists every year. Nonetheless, due to the large number of tourists visiting Chiang Mai, they may confront a variety of issues, including urban issues, which may create annoyance and create unpleasant experiences. In this study, we proposed the design and development of gamified mobile application which employed the concept of participatory crowdsourcing and the system architecture for management of tourism participatory of urban problem for smart city of government officer in order to motivate tourists to collaborate in providing their comments and feedback regarding urban problems encountered in Chiang Mai city. To evaluate the approach, we developed and launched our data-gathering application for tourists. The results reveal five significant types of urban problems encountered by 352 tourists in Chiang Mai. Moreover, we found that the most urban problems in Chiang Mai by tourists are communication (31.34%), vendors (23.88%) and transportation (15.67%). Furthermore, the study revealed that gamification can motivate tourists’ attention of the participatory sensing to providing feedback and complaints to the officer government to solve the problems.

Hypermedia-based software architecture enables Test-Driven Development.

Using agile software development practices, develop and evaluate an architecture and implementation for reliable and user-friendly self-service management of bioinformatic data stored in the cloud. Comprehensive Oncology Research Environment (CORE) Browser is a new open-source web application for cancer researchers to manage sequencing data organized in a flexible format in Amazon Simple Storage Service (S3) buckets. It has a microservices- and hypermedia-based architecture, which we integrated with Test-Driven Development (TDD), the iterative writing of computable specifications for how software should work prior to development. Relying on repeating patterns found in hypermedia-based architectures, we hypothesized that hypermedia would permit developing test "templates" that can be parameterized and executed for each microservice, maximizing code coverage while minimizing effort. After one-and-a-half years of development, the CORE Browser backend had 121 test templates and 875 custom tests that were parameterized and executed 3031 times, providing 78% code coverage. Architecting to permit test reuse through a hypermedia approach was a key success factor for our testing efforts. CORE Browser's application of hypermedia and TDD illustrates one way to integrate software engineering methods into data-intensive networked applications. Separating bioinformatic data management from analysis distinguishes this platform from others in bioinformatics and may provide stable data management while permitting analysis methods to advance more rapidly. Software engineering practices are underutilized in informatics. Similar informatics projects will more likely succeed through application of good architecture and automated testing. Our approach is broadly applicable to data management tools involving cloud data storage.

Blockchain-Based Spectrum Management Architecture and Trading Mechanism Design for Space-Air-Ground Integrated Network

Blockchain-Based Spectrum Management Architecture and Trading Mechanism Design for Space-Air-Ground Integrated Network

Massive Data Connection Architecture Design of Web Platform Based on Blockchain

In order to improve the universality and security of the data management of the Internet of Things and avoid the single point of failure problem in the traditional management architecture, this paper proposes a massive connection management architecture based on blockchain. The blockchain is reconstructed according to the hierarchical structure of blockchain technology, and with reference to the attribute-based access control mechanism, a data exchange model is designed using gossip mode and TLS networking mode to ensure the safe transmission of data. The peer computer network technology, data signature, and consensus mechanism are used to complete the design of the data exchange network layer and realize the design of the blockchain-based massive connection management architecture, so as to effectively avoid the single point of failure problem in the traditional management architecture and greatly reduce the burden of the management center. The access requests of massive devices in 5G application scenarios were simulated, and the results showed that the blockchain-based access control architecture designed in this article can quickly process received requests, with information leakage below 10%, improving the security and processing performance of data connections, achieving efficient processing and management of large-scale data, and providing reliable guarantees for the development of the Internet era.

Perceived Attitudes & Disquiets on the Adoption of Enterprise Application Architecture for Supply Chain Management in SMEs

Background: Throughout the history of information systems, perceived attitudes and concerns (PADs) have been seen as a key factor in actual adoption (AA) of Enterprise Application Architecture (EAA), in this case for supply chain management. Systems development life cycle by John Zachman, who explains seven steps for systems development by Hay (1997), which include: strategy, analysis, reactance theory, design, construction, documentation, transition and production. Objectives: This research aims to determine whether PADs affect the AA of EAA for SCM. In addition, the impact of the systems development life cycle is determined by the following factors: communication and common language, commitment, governance, scope and purpose, business-oriented and approach. Methodology: To provide statistical analysis of diagnostic tests and data analysis, a quantitative research design was adopted. A stratified random sample was considered for two parameters: information technology users, resource optimizers, risk takers, customer-centric approaches, and malleability. The sample was compressed to 310. For the first estimation, the linear regression model using IBM SPSS software version 26 was used. Results: The results showed that PADs have a negative impact on the AA of EAA as indicated by the negative-slope linear regression. However, personal perspectives such as techie, determinism, romanticism, and scepticism result in a negative bias. Findings: These results cannot be extrapolated to all SME owners and managers as they act on the basis of different characteristics such as: Information system components, internet connectivity and contextual information technology. Nonetheless, the modus operandi for mitigating negativity includes: intrinsic and extrinsic motivation, perceived behavioral control, subjective norm, social factors, system complexity, and social factors. Keywords: perceived attitudes and disquiets, enterprise application architecture, supply chain management, actual adoption, small and medium enterprises.

Towards a Unified Pandemic Management Architecture: Survey, Challenges, and Future Directions

The pandemic caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has impacted the economy, health, and society. Emerging strains are making pandemic management challenging. There is an urge to collect epidemiological, clinical, and physiological data to make an informed decision on mitigation. Advances in the Internet of Things (IoT) and edge computing provide solutions for pandemic management through data collection and intelligent computation. While existing data-driven architectures operate on specific application domains and attempt to automate decision-making, they do not capture the multifaceted interaction among computational models, communication infrastructure, and data. In this article, we survey the existing approaches for pandemic management, including data repositories and contact-tracing applications. We envision a unified pandemic management architecture that leverages the IoT and edge computing paradigms to automate recommendations on vaccine distribution, dynamic lockdown, mobility scheduling, and pandemic trend prediction. We elucidate the data flow among the layers, namely, cloud, edge, and end device layers. Moreover, we address the privacy implications, threats, regulations, and solutions that may be adapted to optimize the utility of health data with security guarantees. The article ends with a discussion of the limitations of the architecture and research directions to enhance its practicality.

MEMS-tunable polarization management in photonic integrated circuits.

Optical fibers are generally polarization-insensitive while photonic integrated circuits (PICs) often exhibit a large polarization dependence due to the high-aspect-ratio and high-index-contrast of integrated waveguides. As PICs become more mature there is an increasing need for tunable polarization management on-chip. Although micro-electro-mechanical systems (MEMS) are increasingly finding application in PICs for optical switching and phase shifting, they have so far not found wide application for polarization management. In this work we propose two optical MEMS architectures for polarization management enabling tunable polarization splitting and rotation - key functions so far lacking in PICs. The first structure consists of a directional coupler with a MEMS-tunable gap enabling a continuously-variable polarization splitting ratio. A second architecture consists of a symmetry-breaking MEMS perturber suspended over an air-cladded waveguide enabling tunable polarization rotation. For both architectures we simulate a polarization extinction exceeding 25 dB, and the operating bandwidth can be as large as 100 nm. We conclude with a discussion of actuation schemes and examine fabrication considerations for implementation in PIC foundries.

Replica controlled sensor enabled architecture for management of electronic health records

Replica controlled sensor enabled architecture for management of electronic health records

Founding complexes of multi-stage mathematical and informational tasks in the hybrid intellectual environment of school mathematics

Introduction. The development of educational motivation and creativity of each student is possible in the conditions of complex knowledge level adaptation with the support of hybrid intelligent systems. The multiplicity of goal-setting and choice, the symbiosis of mathematical and computer modeling become the real result of founding complexes mastering multi-stage mathematical and informational tasks in student’s research activity in secondary school. These processes lead to each student’s self-organization and cultures dialogue, support for the development of scientific knowledge methods and modern achievements in science adaptation to school mathematics. The main objective of the study is the development of methodological, substantive and technological foundations of the design and actualization of digital transformation processes and hybrid intellectual environment support of student’s scientific potential growth. Support of hybrid intellectual environment in the development of hierarchical bases and founding complexes of multi-stage mathematical and informational tasks in student’s research activities are revealed. Materials and methods. Using the methods of visual modeling and founding of personal experience, the architecture, parameters and functional organization of the intellectual management of each student’s design and research activities in a rich information and educational environment of complex mathematical knowledge mastering are determined. Founding complexes research of multy-stage mathematical and informational tasks are presented as mechanism of each student’s scientific potential growth. Mathematical and computer modeling is the main instrument of modern achievements in science adaptation to school mathematics. Results. We propose the following typology and stages of design levels of student’s research activity in hybrid intellectual environment: search-reproductive, empirical, theoretical and creative. The architecture, content and structure support of hybrid neural environment determine the factors of effective growth of each student’s scientific potential. The technological stages of founding procedures into the adaptation processes of complex knowledge introduction (modern achievements of science) to school mathematics reveal the orientation and essence of pedagogical innovations. The model of founding generalized cluster for the adapting process of complex knowledge mastering (using the example of fuzzy sets and fuzzy logic) integrates the motivational, meaningful and applied complexes to support the creative activity of each student. Conclusions. The implementation of these stages led to synergetic effects manifestation and phenomenological type of modeling reflection of generalized construct essence and each student’s research activity with hybrid neural environment to support the growth of student’s scientific potential.

Emergency treatment mechanism of laboratory safety accidents in university based on IoT and context aware computing

In recent years, safety accidents in university laboratories have occurred frequently. Not only do the accidents result in property damage, but also in injuries. Real-time environmental monitoring of the laboratory through IoT enables early detection of potential safety risks such as high temperatures, high humidity and gas leaks, and timely action to reduce the likelihood of accidents. To ensure laboratory safety, in the paper, an emergency treatment mechanism for laboratory safety accidents was proposed based on IoT and context perception. The mechanism uses sensors to collect environmental information and fill a feature characterization architecture for unified safety management. Subsequently, the meta-rule algorithm is used to discover services in the prior knowledge model to form a workflow engine, so as to drive the security business management. Additionally, based on the standard measurement model, we normalize the fuzzy uncertainty measurement model with different granularities and define the fuzzy uncertainty of different emergency decision-making knowledge. Based on this, a knowledge fusion method for emergency decision-making under different fuzzy uncertainties is proposed, which improves laboratory safety emergency response performance based on situational awareness. The implementation of the proposed mechanism in a chemical laboratory demonstrates its efficacy in optimizing operational processes and discovering operational flow through multi-dimensional information analysis. This capability significantly aids safety administrators in their daily laboratory safety management.

Software defined networking agent demonstration to enable configuration and management of XGS-PON architectures

This paper describes the design and implementation of an OpenFlow software defined network (SDN) agent that manages and configures 10-gigabit-capable symmetric passive optical network (XGS-PON) architectures. Acting as an OpenFlow switch, the SDN agent communicates with an SDN controller using OpenFlow, while holding direct communication with the optical line terminal (OLT) through the chipset manufacturer-specific application programming interface, eliminating the need for emulating SDN layers in hardware devices. The proposal was evaluated through experiments conducted on a White Box XGS-PON OLT using the Open Network Operating System. The results demonstrate that the proposal facilitates a real-time SDN configuration of various Internet services, successfully fulfilling different quality of service requirements. Due to its ease of deployment, low complexity, smooth learning curve, scalability, and flexibility in integrating services, the proposal has significant potential. As a result, it offers a rapid SDN solution for configuring and testing new functionalities with minimal programming changes required in specific layers of the developed SDN agent.

Topographical surface patterning with block copolymer stamps

We explore the potential of stamps of the block copolymer (BCP) polystyrene-block-poly (2-vinylpyridine) (PS-b-P2VP) for the parallel lithographic generation of topographic surface patterns taking advantage of the specific BCP properties. A first example includes additive surface manufacturing by decal transfer microcontact lithography with PS-b-P2VP breath figure (BF) arrays. Suppression of entanglements at the internal BCP domain interfaces and the BF array morphology facilitate rupture of the thinnest wall segments in the BF arrays. The uppermost PS-b-P2VP BF array layers with heights of nearly 1 µm thus remained attached to counterpart substrates. Treatment with solvents selective to PS or P2VP enabled wettability switching of thus-functionalized surfaces. A second example includes subtractive surface manufacturing. We deposited holey films or stripe patterns of the perfluorinated alkylphosphonic acid F21-DDPA on glass substrates using PS-b-P2VP stamps penetrated by spongy mesopore systems generated by swelling-induced pore formation. The use of spongy-mesoporous stamps allows carrying out succesive stamping steps without ink replenishment. Subsequently, we topographically patterned the glass substrates by etching the parts of the glass substrates not protected by F21-DDPA with hydrofluoric acid (HF) solution. Within certain limitations, shape, area and depth of the topographic patterns may be adjusted by the etching durations. Circular PS-b-P2VP films were selectively deposited into hexagonal microwells and subjected to swelling-induced pore formation. Moreover, F21-DDPA-patterned glass substrates can be used to template the dewetting of polystyrene (PS). Arrays of PS droplets obtained in this way were in turn used as etch resists to produce arrays of glass nanoneedles. Hence, BCP stamps may be exploited to produce topographically patterned surfaces with different architectures for wettability management or graphoepitaxy.

Energy management in microgrid and multi‐microgrid

AbstractConsidered as basic structures of next‐generation energy system, environment‐friendly and flexible microgrid (MG) systems are potential solutions to address integration issues of stochastic renewable energy sources. Adaptable energy management approaches provide the possibility to construct effective and various energy interaction. The purpose of this paper is to present a problem‐oriented review of energy management in MG systems. This paper first comprehensively reviews recent research studies on MG, particularly in multi‐microgrid (MMG). Then, this paper proposes a concept of energy utilization model for energy management, which includes a discussion of modern concepts including MG, MMG along with picogrid, nanogrid and virtual power plant. And a synthetic energy management framework including stability, touch, efficiency, evenness, and resilience dimensions is proposed and formulated based on energy utilization mode. Then energy management system is illustrated from the perspectives of system function, management architecture, operation logic and data analysis, and further, a systematic four‐layer hierarchical architecture of management systems for whole MG and MMG systems is proposed. Moreover, key technologies in energy management are summarized and reviewed from the aspects of control, communication, prediction, optimization, and evaluation. Last, eight main prospects on the future trend of energy management in MG and MMG are also presented.

An extended taxonomy of advanced information visualization and interaction in conceptual modeling

Conceptual modeling is integral to computer science research and is widely adopted in industrial practices, e.g., business process and enterprise architecture management. Providing adequate and usable modeling tools is necessary to adopt modeling languages efficiently. Meta-modeling platforms provide a rich and mature set of functionalities for realizing state-of-the-art modeling tools. These tools, albeit their stability and rich set of features, often lack a modern look and feel considering (i) how they visualize the models, and (ii) how modelers interact with the models. Current web technologies enable much richer, advanced opportunities for visualizing and interacting with conceptual models. However, a structured and comprehensive overview of possible information visualization and interaction techniques linked to conceptual models and modeling tools must be established. This paper aims to fill this gap by presenting an extended taxonomy of advanced information visualization and interaction in conceptual modeling. We present a generic taxonomy that is afterward contextualized within the specific domain of conceptual modeling. The taxonomy serves orientation in the vast developing field of information visualization and interaction and hopefully sparks innovation if future modeling tool development.

BHiveSense: An integrated information system architecture for sustainable remote monitoring and management of apiaries based on IoT and microservices

Precision Beekeeping, a field of Precision Agriculture, is an apiary management strategy based on monitoring honeybee colonies to promote more sustainable resource usage and maximise productivity. The approach related to Precision Beekeeping is based on methodologies to mitigate the stress associated with human intervention in the colonies and the waste of resources. These goals are achieved by supporting the intervention and managing the beekeeper's timely and appropriate action at the colony's level. In recent years, the growth of IoT (Internet-of-Things) in Precision Agriculture has spurred several proposals to contribute to the paradigm of Precision Beekeeping, built on different technical concepts and with different production costs. This work proposes and describes an information systems architecture concept named BHiveSense, based on IoT and microservices, and different artefacts to demonstrate its concept: (1) a low-cost COTS (Commercial Off-The-Shelf) hive sensing prototype, (2) a REST backend API, (3) a Web application, and (4) a Mobile application. This project delivers a solution for a more integrated and sustainable beekeeping activity. Our approach stresses that by adopting microservices and a REST architecture, it is possible to deal with long-standing problems concerning interoperability, scalability, agility, and maintenance issues, delivering an efficient beehive monitoring system.

Agile Software Development and Reuse Approach with Scrum and Software Product Line Engineering

Agile methods and software product line engineering (SPLE) are widely recognized as practical approaches for delivering high-quality software, adapting to evolving stakeholder needs, and tackling complex problems. This study proposes a hybrid agile software development and reuse approach called SPLE-Scrum based on the activities of software product line engineering and Scrum. Within the SPLE process, we incorporate requirement engineering and design practices to create a reference architecture with reusable components called core assets by introducing a product management meeting. The core assets are reused to build a series of applications with various product lines. The product increments are delivered in each Sprint with the review and retrospective meetings based on Scrum lifecycle and practices. We present a case study involving a blockchain online store to demonstrate the practical application of SPLE-Scrum, highlighting the benefits of integrating Scrum and software product line engineering. The research hypotheses of the proposed approach were validated through a study of structured interviews with 5 experts and 44 software practitioners, showing that the key factors of product management, project requirements, and product architecture in the SPLE-Scrum approach have a beneficial impact on project success. The SPLE-Scrum approach provides valuable insights and practical guidance for organizations seeking to optimize their software engineering practices while incorporating agile development and software reuse capabilities.

The Architectural Path of Collaborative Management in Performing Arts Organizations

Under the background of the new era, performing arts organizations have become a cornerstone force in promoting the high-quality development of China’s culture. “How to explore the development models and general rules that promote internal and external collaborative management within organizations?” and “How to achieve dynamic balance within organizations with diverse collaborative models?” These are all crucial questions that managers of performing arts organizations should consider in this era. Based on positioning theory and the logical perspective of organizational structuring functional types, this article proposes a “three-step” development strategy for the internal and external collaborative management of performing arts organizations from the value logic of arts management and the research perspective of history. The article also establishes an evaluation system for the internal and external collaborative management of performing arts organizations using the DEA method and explores the full-process management architecture of integrated collaboration within and outside performing arts organizations. The aim is to provide theoretical support for the collaborative innovation and high-quality development of performing arts organization management.