Literature Review Of Systems Research Articles

Agricultural Grid Connected Photovoltaic System Design and Simulation in Egypt by using PVSYST Software

Agricultural Photovoltaic Systems are a key technology to achieve sustainable development goals by reducing competition between land for food and electricity. In addition, Agricultural Photovoltaic Systems are at the heart of the link between power generation, crop production and irrigation water conservation. The main ecophysiological constraint on crop production under photovoltaics is the reduction of light. It is difficult to recommend shade tolerance for some plant varieties due to insufficient information on shading conditions for most plants. The use of shading panels (photovoltaic panels) requires more crop-specific research to determine the optimal percentage of panels and their placement that will not reduce agricultural yields. Crop yield variation versus field shading and availability to maximize the system require extensive research. This study aims to develop a standard procedure for designing an agricultural grid-connected photovoltaic power generation system for solar power generation in an agricultural area in Bahteem, Egypt. The technical and annual performance of the grid-connected PV system was simulated using PV Syst software. The paper started with a pre-feasibility study of a grid-connected photovoltaic system using PV Syst. Software with an extensive database of meteorological data, including global daily horizontal solar irradiance, and a database of various renewable energy system components from different manufacturers. In this work, a comprehensive literature review of agricultural solar photovoltaic systems is conducted, with a particular focus on grid-connected systems, followed by a design procedure for grid-connected solar photovoltaic systems. The planned photovoltaic system will generate a total of 400 KWp of electricity. This generated electricity can drive down electricity prices by exporting excess electricity to the national grid. In addition, solar power systems are fuel-efficient and have a low environmental impact.

State of the Art of Automation in Sign Language: A Systematic Review

Sign language is the fundamental communication language of deaf people. Efforts to develop sign language generation systems can make the life of these people smooth and effortless. Despite the importance of sign language generation systems, there is a paucity of a systematic literature review. This is the foremost recognizable scholastic literature review of sign language generation systems. It presents a scholastic database of the literature between 1998 and 2020 and suggests classification criteria to systematize research studies. Four hundred fourteen research studies were recognized and reviewed for their direct pertinence to sign language generation systems. One hundred sixty-two research studies were subsequently chosen, examined, and classified. Each of the 162 chosen research papers was categorized based on 30 sign languages and was further comparatively analyzed based on seven comparison parameters (input form, translation technologies, application domain, use of parsers/grammars, manual/non-manual features, accuracy, and output form). It is evident from our research findings that the majority of research on sign language generation was carried out using data-driven approaches in the absence of proper grammar rules and generated only manual signs. This research study may provide researchers a roadmap toward future research directions and facilitate the compilation of information in the field of sign language generation.

A Literature Review of Big Data and Metadata Management Systems

Abstract: Metadata is essential for the successful operation of data files, as it acts as the underlying data that helps maintain and manage the namespace, permissions, and address of the file data blocks. The performance of metadata services has a direct impact on the overall performance of the file system, as these operations can account for a significant portion, up to 80%, of file system activity. Large-scale distributed file systems (DFS) have emerged to meet the rising demand for data storing. These systems provide users with access to numerous storage units spread across various locations. The widespread use of large-scale DFSs as the foundation for a range of computing systems and applications, particularly in the era of Big Data, highlights the importance of efficient metadata management. This paper seeks to offer an enhanced knowledge of the current status of metadata systems in large-scale DFSs, this paper presents a comprehensive overview of the latest research in the field. DFSs are defined by three aspects: scalability, performance, and availability. Moreover, the study evaluates various challenges and limitations in the current research, providing valuable insight for future studies. Overall, the study attempts to give a complete knowledge of the present scenario of metadata services across large-scale DFSs and to recommend areas for future research and development.

Systematic Literature Review Intention to Use E-Wallet

The development of the world of technology today is marked by the emergence of several types of communication technology and electronic payment systems. This payment system has revolutionized transaction methods around the world. An electronic wallet or commonly referred to as an E-Wallet is a digital payment instrument through any type of electronic media such as a computer, laptop or cell phone. Due to the ease of using e-wallets in today's daily activities, the purpose of this research is to find out what are the factors that influence people's intention to use e-wallets to carry out all types of transactions in their lives obtained through the System Literature Review method. Literature was collected from 2017-2022 and identified from 131 articles on the Emerald Insign page after several elimination stages, there were 15 articles that met the criteria that had been made. This method is used to identify, review, evaluate and interpret some of the available research on the phenomenon of interest, as well as specific related research questions. The results of this study indicate that the most common factor influencing a person's intention to use an e-wallet is perceived usefulness with the TAM theoretical model.

A systematic literature review of sociotechnical systems in systems engineering

AbstractSystems engineers use the term sociotechnical system in academic literature and in their practice. Sociotechnical systems are gaining more attention as systems engineers aspire to address the social elements of their systems engineering practice as well as societal challenges, such as those included in the International Council on Systems Engineering (INCOSE) Vision 2035. Even though there is a basic working definition of sociotechnical system in the Systems Engineering Book of Knowledge (SEBoK), use of the term varies in systems engineering literature depending on application domain. As systems engineering research and practice venture into social domains, it is critical that systems engineers have a shared understanding of terms they use as a foundation of knowledge and practice. To contribute to this foundation, this study is a systematic literature review of how the term sociotechnical system is used in systems engineering literature. We used the Preferred Reporting Items for Systematic Reviews and Meta‐Analyses (PRISMA) methodological framework and Web of Science (WoS) for conducting the systematic literature review. We only included peer‐reviewed systems engineering academic papers in this study, and these papers had to either explicitly define the term or implicitly define it by context in the paper. In total, 61 papers were included after inclusion criteria were met, and these were evaluated and synthesized into definition categories. Evaluation and synthesis were conducted according to the PRISMA framework by the study authors in order to manage bias. We found that most papers use sociotechnical system generically as a system that includes social (people) and technical elements. Papers with more refined definitions of sociotechnical system stem from two distinct theoretical traditions: ergonomics/safety and philosophy of engineering. We do not aim to propose a single, normative definition of sociotechnical system. This study is limited by including only systems engineering literature since sociotechnical system has established definitions in other disciplines (e.g., social sciences disciplines). However, the outcome of this study provides systems engineers with documented understanding of how the term sociotechnical system is used within systems engineering.

Exploring the Common Ground of Sustainability and Resilience in the Building Sector: A Systematic Literature Review and Analysis of Building Rating Systems

Over the last ten years, due to the increase in frequency and severity of climate change effects, resilience in buildings has become a growing topic in the current global discussion on climate change adaptation. Designing both sustainable and resilient constructions would help to face such effects; however, sustainability and resilience in design have been mostly treated separately so far. Since sustainability has been considered more than resilience, paying deeper attention to the latter is indispensable to reducing building vulnerability. The purpose of this article is to examine the commonalities between the sustainability and resilience of buildings using two different approaches: (i) a systematic literature review, taking into consideration a 10-year period for selecting records, and (ii) an analysis of five green building rating systems and five resilience rating systems and guidelines selected according to their popularity and number of certified buildings. There is an overlap in some indicators between the two domains at the building level, as shown by the results from both paths. These aspects could assist in considering sustainability and resilience from the very beginning of the design process. This will ensure that buildings may be designed more effectively by considering and enhancing the synergies between the two domains. This paper targets potential stakeholders who may be interested in including such an integrated implementation in their designs.

Measuring clinical outcomes of highly multiplex molecular diagnostics for respiratory infections: A systematic review and conceptual framework.

To review methodologies and outcomes reporting among these studies and to develop a conceptual framework of outcomes to assist in guiding studies and production of clinical metrics. PubMed and Embase from January 1, 2012, thru December 1, 2021. Studies evaluating highly multiplex molecular respiratory diagnostics and their impact on either clinical or economic outcomes. A systematic literature review (SLR) of methodologies and outcomes reporting was performed. A qualitative synthesis of identified SLRs and associated primary studies was conducted to develop conceptual framework for outcomes. Ultimately, 4 systemic literature reviews and their 12 associated primary studies were selected for review. Most primary studies included patient outcomes focusing on antimicrobial exposure changes such as antibiotic (80%) and antiviral use (50%) or occupancy changes such as hospital length of stay (60%). Economic outcomes were infrequently reported, and societal outcomes, such as antibiotic resistance impact, were absent from the reviewed literature. Qualitative evidence synthesis of reported outcomes yielded a conceptual framework of outcomes to include operational, patient, economic, and societal domains. Our review highlights the significant heterogeneity in outcomes reporting among clinical impact studies for highly multiplex molecular respiratory diagnostics. Furthermore, we developed a conceptual framework of outcomes domains that may act as a guide to improve considerations in outcomes selection and reporting when evaluating clinical impact of these tests. These improvements may be important in synthesizing the evidence for informing clinical decision making, guidelines, and financial reimbursement.

Literature review on the information system for digitization of royal history and Waqf

There has been a significant increase in the study of the history and culture of historical artifacts, whether they take the form of cultural heritage or Waqf. A literature review of web-based information systems was conducted for digitizing historical preservation and Waqf. Papers were sourced from various databases, including Publish or Perish, which produced 1043 journals, 370 articles, and 673 items from reputable sources, Google Scholar, and Crossref, respectively. The focus of the literature review was the information system for digitizing history and Waqf and integrating ontology databases. This literature review study aims to trace the evolution of study objects related to history and endowments. The results showed that most studies emphasized the user-understanding aspect of digitization, while the technical aspect was focused on using cutting-edge technology, such as 3D and virtual reality.

Radiological Classification for Degenerative Lumbar Spine Disease: A Literature Review of the Main Systems

Radiological Classification for Degenerative Lumbar Spine Disease: A Literature Review of the Main Systems

Agricultural Grid Connected Photovoltaic System Design and Simulation in Egypt by using PVSYST Software

Agricultural Photovoltaic Systems are a key technology to achieve sustainable development goals by reducing competition between land for food and electricity. In addition, Agricultural Photovoltaic Systems are at the heart of the link between power generation, crop production and irrigation water conservation. The main ecophysiological constraint on crop production under photovoltaics is the reduction of light. It is difficult to recommend shade tolerance for some plant varieties due to insufficient information on shading conditions for most plants. The use of shading panels (photovoltaic panels) requires more crop-specific research to determine the optimal percentage of panels and their placement that will not reduce agricultural yields. Crop yield variation versus field shading and availability to maximize the system require extensive research. This study aims to develop a standard procedure for designing an agricultural grid-connected photovoltaic power generation system for solar power generation in an agricultural area in Bahteem, Egypt. The technical and annual performance of the grid-connected PV system was simulated using PV Syst software. The paper started with a pre-feasibility study of a grid-connected photovoltaic system using PV Syst. Software with an extensive database of meteorological data, including global daily horizontal solar irradiance, and a database of various renewable energy system components from different manufacturers. In this work, a comprehensive literature review of agricultural solar photovoltaic systems is conducted, with a particular focus on grid-connected systems, followed by a design procedure for grid-connected solar photovoltaic systems. The planned photovoltaic system will generate a total of 400 KWp of electricity. This generated electricity can drive down electricity prices by exporting excess electricity to the national grid. In addition, solar power systems are fuel-efficient and have a low environmental impact.

A Systematic Literature Review on Recommender Systems for MOOCs

In recent years, MOOCs (Massive Open Online Courses) have become popular and the online learning resources are increasing, they are an offered courses by schools and universities, which are accessible to everyone and free of charge on the internet, they offer the possibility to teach a very group of students, in the same course, at the same time, even if they are not in the same location. There are many MOOCs platforms with different characteristics, they contain a huge amount of data, so the learner does not know which course to take and can choose irrelevant MOOCs. Therefore, he will waste the time and also the motivation. Recommender systems give a solution to this problem, they suggest learning resources to learners according to their interests and needs, so learner will be satisfied because he finds an appropriate course. In this paper, we give a systematic literature review of MOOCs recommender systems, based on published papers in the past ten years, between 2012 and 2022. We have selected 123 papers from five databases, IEEE Xplore, Springer Link, Science Direct, Google Scholar and ACM Library. We have divided the data analysis in two parts, the quantitative analysis, and the qualitative analysis. In the quantitative analysis, we have studied first the evolution of papers by year and the distribution of papers on databases by type. Then, in the qualitative analysis, we have based principally on the distribution of papers by the existed areas in MOOCs. We have found that there are six main fields, course recommendation, peer recommender, MOOC provider, video recommendation, learning activities and OER, paid activities recommender system and other papers in various types. A high number of articles have been published in the field of courses, which confirms that this domain is very important and crucial for learners.

Bibliometric analysis and systematic literature review of the intelligent tutoring systems

This study is a literature review with educational evaluation mediated by intelligent tutoring systems (ITS) as its central axis seeking to establish state of the art on implementations executed in the last 20 years and their impact on the evaluation process. The PRISMA methodology was applied for the literature review; the studies were included using the R software and bibliometric techniques with a general search equation that allowed access to all ITS production in Scopus. Subsequently, with the help of artificial intelligence, text mining was used to identify topics of interest in the scientific community, followed by further filtering. Finally, the selected full texts were analyzed using the NVivo software to extract emerging challenges in the field, obtaining 163 full texts for analysis. Among the main findings, the primary purpose of evaluation in ITS was summative, peer and self-evaluation did not have the same level of importance as hetero evaluation, and ITS focus was quantitative. All of this allowed us to conclude that the analyzed texts did not implement a holistic perspective and therefore evidenced the need to establish a framework for constructing an ITS using current technologies that integrate the mentioned variables.

A Systematic Review of Online Speech Therapy Systems for Intervention in Childhood Speech Communication Disorders.

Currently, not all children that need speech therapy have access to a therapist. With the current international shortage of speech-language pathologists (SLPs), there is a demand for online tools to support SLPs with their daily tasks. Several online speech therapy (OST) systems have been designed and proposed in the literature; however, the implementation of these systems is lacking. The technical knowledge that is needed to use these programs is a challenge for SLPs. There has been limited effort to systematically identify, analyze and report the findings of prior studies. We provide the results of an extensive literature review of OST systems for childhood speech communication disorders. We systematically review OST systems that can be used in clinical settings or from home as part of a treatment program for children with speech communication disorders. Our search strategy found 4481 papers, of which 35 were identified as focusing on speech therapy programs for speech communication disorders. The features of these programs were examined, and the main findings are extracted and presented. Our analysis indicates that most systems which are designed mainly to support the SLPs adopt and use supervised machine learning approaches that are either desktop-based or mobile-phone-based applications. Our findings reveal that speech therapy systems can provide important benefits for childhood speech. A collaboration between computer programmers and SLPs can contribute to implementing useful automated programs, leading to more children having access to good speech therapy.

Asparaginase-related diabetic ketoacidosis: Analysis of the FDA Adverse Event Reporting System (FAERS) data and literature review.

Diabetic ketoacidosis (DKA) may occur during asparaginase use. However, limited by the study population, the association between asparaginase and DKA has not been elucidated. The purpose of this study was to determine the potential association between asparaginase and DKA and analyse related clinical characteristics and possible risk factor. Disproportionality analysis with the reporting odd ratio (ROR) was used to detect the adverse reaction signals of asparaginase-associated DKA in Food and Drug Administration Adverse Event Reporting System (FAERS). A literature review was conducted to further analyse clinical characteristics, possible risk factor and something noteworthy in asparaginase-associated DKA. A total of 12 reports of DKA associated with l-asparaginase (l-asp) and 6 reports associated with pegaspargase (PEG-asp) were extracted in FAERS, more than 50% of the cases were classified as serious adverse events. DKA was a positive signal of l-asp (ROR=2.397, 95% CI 1.360-4.226), while not closely related to the use of PEG-asp (ROR=1.602, 95% CI 0.719-3.570). Searched in PubMed, Embase and Web of Science, a total of eight patients were collected. The patients were mainly adolescent patients, aged between 11 and 25 years old with a median age of 16 years. Drug dosage form distribution is unbalanced, 7 patients received l-asp and only 1 received PEG-asp. The ROR of KDA caused by l-asp was statistically significant, but there was not a statistical association for DKA caused by PEG-asp. Asparaginase dosage form may affect the occurrence of DKA, but further research is needed.

Environmental Resilience Index: A Methodology for Data Collection and Data Analysis

Over the years, population growth resulted from urban sprawl in meeting the needs and demands of the future generation globally and locally. Consequently, excessive anthropogenic activities on the environment cause environmental degradation, which affects cities' resilience. Therefore, this paper introduces the study to develop an Environmental Resilience Index (ERI) designed to measure the level of environmental resilience in Malaysia by selecting Selangor as a case study because of the difference in economic activities that could result in a different level of resilience. This paper also explains the general framework and indicator selected for this study by a literature review of environmental systems and reviews of past research and established indicators. Though this study uses secondary data as the basis of data collection, data from authorised departments and agencies are gathered to verify the reliability and validity of data that is important in analysation. Lastly, this paper elaborates on the methodology of data analysis with an example by measuring the ERI level for the component of environmental resources for the State of Selangor.

Bibliometric Literature Review of Adaptive Learning Systems

In this review paper, we computationally analyze a vast volume of published articles in the field of Adaptive Learning, as obtained by the Scopus Database. Particularly, we use a query with search terms targeting the area of Adaptive Learning Systems by utilizing a combination of specific keywords. Accordingly, we apply a multidimensional scaling algorithm to construct bibliometric maps for keywords, authors, and references. Subsequently, we present the computational results for the studied dataset, reveal significant patterns appearing in the field of adaptive learning and the inter-item associations, and interpret the findings based on the current state-of-the-art literature in the area. Furthermore, we demonstrate the time-series of the evolution of the research terms, their trends over time, as well as their prevalent statistical associations.

Toward Trust-Based Recommender Systems for Open Data: A Literature Review

In recent years, the concept of “open data” has received increasing attention among data providers and publishers. For some data portals in public sectors, such as data.gov, the openness enables public oversight of governmental proceedings. For many other data portals, especially those in academia, open data has shown its potential for driving new scientific discoveries and creating opportunities for multidisciplinary collaboration. While the number of open data portals and the volume of shared data have increased significantly, most open data portals still use keywords and faceted models as their primary methods for data search and discovery. There should be opportunities to incorporate more intelligent functions to facilitate the data flow between data portals and end-users. To find more theoretical and empirical evidence for that proposition, in this paper, we conduct a systematic literature review of open data, social trust, and recommender systems to explain the fundamental concepts and illustrate the potential of using trust-based recommender systems for open data portals. We hope this literature review can benefit practitioners in the field of open data and facilitate the discussion of future work.

Research Summary and Literature Review on Modelling and Simulation of Heat Pumps for Simultaneous Heating and Cooling for Buildings

A heat pump for simultaneous heating and cooling (HPS) is a refrigeration machine by which the productions of heating and cooling energies are simultaneously valorized. This introductory article presents the uses of heat pump productions under the form of an analysis of thermal demands of different types of buildings and a literature review of real installations and experimental systems, which are the basis of the construction of numerical models. The applications of HPSs are diverse: space heating and cooling, domestic hot water (DHW), hot water for desalination process, etc. Means and methods for improving the performance of refrigeration cycles and the management of heat and cold productions are developed, including modeling and simulation. New refrigeration circuit architectures were designed. A focus is paid on refrigerants. Prototypes combining heating-cooling, heating-cooling-DHW and cooling-desalination have been developed, built and tested to validate the models. Even though a strong simultaneity of thermal demands is essential, the results show that HPSs are generally very efficient systems.

Coconut-Based Community Economic Development Strategy In Indragiri Hilir Regency

Indragiri Hilir Regency is an area that has the largest coconut plantation in Indonesia, covering an area of ​​12% of Indonesian coconuts. Most of the ownership belongs to local farmers. This of course will greatly affect the level of the community's economy because about 70% of the people depend on coconut. The purpose of this study is to develop a strategy for the local government to develop a coconut-based community economy, which is expected to be able to overcome fluctuations in coconut prices. The method used in this research is System Literature Review. This method is used to identify, evaluate, and interpret all journal articles and strategies for coconut-based economic development. The results of the study found coconut management strategies and the pattern of developing BUMD and BUMDes through development programs through related OPD and collaborating with companies both local and outside the region in the short term and exporting for the long term.

Review of Real-Time Biomechanical Feedback Systems in Sport and Rehabilitation.

Real-time biomechanical feedback (BMF) is a relatively new area of research. The potential of using advanced technology to improve motion skills in sport and accelerate physical rehabilitation has been demonstrated in a number of studies. This paper provides a literature review of BMF systems in sports and rehabilitation. Our motivation was to examine the history of the field to capture its evolution over time, particularly how technologies are used and implemented in BMF systems, and to identify the most recent studies showing novel solutions and remarkable implementations. We searched for papers in three research databases: Scopus, Web of Science, and PubMed. The initial search yielded 1167 unique papers. After a rigorous and challenging exclusion process, 144 papers were eventually included in this report. We focused on papers describing applications and systems that implement a complete real-time feedback loop, which must include the use of sensors, real-time processing, and concurrent feedback. A number of research questions were raised, and the papers were studied and evaluated accordingly. We identified different types of physical activities, sensors, modalities, actuators, communications, settings and end users. A subset of the included papers, showing the most perspectives, was reviewed in depth to highlight and present their innovative research approaches and techniques. Real-time BMF has great potential in many areas. In recent years, sensors have been the main focus of these studies, but new types of processing devices, methods, and algorithms, actuators, and communication technologies and protocols will be explored in more depth in the future. This paper presents a broad insight into the field of BMF.