scholarly journals From Manual to Intelligent: A Review of Input Data Preparation Methods for Geographic Modeling

2019 ◽  
Vol 8 (9) ◽  
pp. 376 ◽  
Author(s):  
Zhi-Wei Hou ◽  
Cheng-Zhi Qin ◽  
A-Xing Zhu ◽  
Peng Liang ◽  
Yi-Jie Wang ◽  
...  
Keyword(s):  
Service Composition ◽  
Input Data ◽  
Knowledge Bases ◽  
Future Research ◽  
Knowledge Representation And Reasoning ◽  
Data Preparation ◽  
Preparation Methods ◽  
Construction Of Knowledge ◽  
Task Oriented ◽  
Geographic Modeling

One of the key concerns in geographic modeling is the preparation of input data that are sufficient and appropriate for models. This requires considerable time, effort, and expertise since geographic models and their application contexts are complex and diverse. Moreover, both data and data pre-processing tools are multi-source, heterogeneous, and sometimes unavailable for a specific application context. The traditional method of manually preparing input data cannot effectively support geographic modeling, especially for complex integrated models and non-expert users. Therefore, effective methods are urgently needed that are not only able to prepare appropriate input data for models but are also easy to use. In this review paper, we first analyze the factors that influence data preparation and discuss the three corresponding key tasks that should be accomplished when developing input data preparation methods for geographic models. Then, existing input data preparation methods for geographic models are discussed through classifying into three categories: manual, (semi-)automatic, and intelligent (i.e., not only (semi-)automatic but also adaptive to application context) methods. Supported by the adoption of knowledge representation and reasoning techniques, the state-of-the-art methods in this field point to intelligent input data preparation for geographic models, which includes knowledge-supported discovery and chaining of data pre-processing functionalities, knowledge-driven (semi-)automatic workflow building (or service composition in the context of geographic web services) of data preprocessing, and artificial intelligent planning-based service composition as well as their parameter-settings. Lastly, we discuss the challenges and future research directions from the following aspects: Sharing and reusing of model data and workflows, integration of data discovery and processing functionalities, task-oriented input data preparation methods, and construction of knowledge bases for geographic modeling, all assisting with the development of an easy-to-use geographic modeling environment with intelligent input data preparation.

Services and Service Composition – An Introduction (Services und Service Komposition – Eine Einführung)

2008 ◽  
Vol 50 (2) ◽  
Author(s):  
Shahram Dustdar ◽  
Mike P. Papazoglou
Keyword(s):  
Web Services ◽  
Service Composition ◽  
Web Applications ◽  
Future Research ◽  
Basic Principles ◽  
Service Oriented Computing ◽  
Research Challenges ◽  
Internet Computing ◽  
The Future ◽  
Service Oriented

SummaryIn this overview paper, we discuss the basic principles underlying service-oriented computing in general, and (Web) services in particular. We discuss the important differences between (Web) services and Web applications and other models in Internet computing. Finally, we discuss where we see the future research challenges in the area of service composition.

scholarly journals From Ignorance Map to Informing PKM4E Framework: Personal Knowledge Management for Empowerment

10.28945/3984 ◽  
2018 ◽  
Keyword(s):  
Knowledge Management ◽  
Design Science ◽  
Knowledge Workers ◽  
Rapid Development ◽  
Science Research ◽  
Knowledge Bases ◽  
Personal Knowledge ◽  
Future Research ◽  
Development Platform ◽  
Personal Knowledge Management

Aim/Purpose: [This Proceedings paper was revised and published in the 2018 issue of the journal Issues in Informing Science and Information Technology, Volume 15] The proposed Personal Knowledge Management (PKM) for Empowerment (PKM4E) Framework expands on the notions of the Ignorance Map and Matrix for further supporting the educational concept of a PKM system-in-progress. Background: The accelerating information abundance is depleting the very attention our cognitive capabilities are able to master, one key cause of individual and collective opportunity divides. Support is urgently needed to benefit Knowledge Workers independent of space (developed/developing countries), time (study or career phase), discipline (natural or social science), or role (student, professional, leader). Methodology: The Design Science Research (DSR) project introducing the novel PKM System (PKMS) aims to support a scenario of a ‘Decentralizing KM Revolution’ giving more power and autonomy to individuals and self-organized groups. Contribution: The portrayal of potential better solutions cannot be accommodated by one-dimensional linear text alone but necessitates the utilization of visuals, charts, and blueprints for the concept as well as the use of colors, icons, and catchy acronyms to successfully inform a diverse portfolio of audiences and potential beneficiaries. Findings: see Recommendation for Researchers Recommendations for Practitioners: The PKM4E learning cycles and workflows apply ‘cumulative synthesis’, a concept which convincingly couples the activities of researchers and entrepreneurs, and assists users to advance their capability endowments via applied learning. Recommendation for Researchers: In substituting document-centric with meme-based knowledge bases, the PKMS approach merges distinctive voluntarily shared knowledge objects/assets of diverse disciplines into a single unified digital knowledge repository and provides the means for advancing current metrics and reputation systems. Impact on Society: The PKMS features provide the means to tackle the widening opportunity divides by affording knowledge workers with continuous life-long support from trainee, student, novice, or mentee towards professional, expert, mentor, or leader. Future Research: After completing the test phase of the PKMS prototype, its transformation into a viable PKM system and cloud-based server based on a rapid development platform and a noSQL-database is estimated to take 12 months.

scholarly journals Quality of Academic Life at the Postgraduate Stage: A Saudi Female Perspective

10.28945/4691 ◽  
2021 ◽  
Vol 16 ◽  
pp. 127-147
Author(s):  
Amani Khalaf H Alghamdi ◽  
Sue L. T. McGregor
Keyword(s):  
Graduate Students ◽  
National Development ◽  
Knowledge Bases ◽  
Academic Life ◽  
Future Research ◽  
Social Aspect ◽  
Teaching Staff ◽  
Subjective Data ◽  
Educational Aspect

Aim/Purpose: Vision 2030 (Saudi Arabia’s national development plan) expects women (50% of all university students) to contribute to a viable economy and ambitious nation, meaning data about their quality of academic life (QAL) during their university experience are timely and significant. They are key players in the nation’s future. Background: This inaugural, exploratory study addresses this under-researched topic by exploring the spiritual, cognitive, physical, social, and psychological dimensions of Saudi female graduate students’ QAL. Methodology: Data comprised the lead author’s reflections and reflexion and interviews with 17 Saudi female graduate students conveniently sampled from Imam Abdul Rahman bin Faisal University (IAU) (Eastern Province) in January 2020. A new Academic Quality of Life Schema was especially designed for this study and future research. Contribution: A Middle Eastern country’s perspective is shared about female graduate students’ QAL from a holistic perspective (spiritual, mind, and body) and through the lens of a new QAL Schema (cognitive, social, and psychological). Findings: Spirituality was the highest rated holistic QAL dimension (76.6%) followed with body (67.4%) and mind (intellect) (58.8%). Despite a generally positive QAL evaluation (67.6%), participants (a) lamented their inability to sustain previous levels of religious devotion and practice, (b) reported health issues with deep emotions and surprise, and (c) experienced dissatisfaction with the educational aspect of their QAL. Regarding the QAL Schema, (a) their lack of research savviness hampered their ability to learn and enjoy the graduate experience; (b) psychological anxiety hampered their ability to connect with the Creator and poor time management and heavy academic workload compromised exercise and leisure with all three causing an imbalanced lifestyle; and (c) social peer camaraderie and positive classroom environments were appreciated. Recommendations for Practitioners: Women’s colleges should (a) collect subjective data about female graduate students’ satisfaction with university services, specialization and teaching decisions, and faculty members’ and peer colleagues’ support; (b) provide and promote services related to places and means of recreation, leisure, and alone time; and (c) ensure that guidance and counseling offices develop strategies to reduce stress and anxiety factors hindering QAL. Recommendation for Researchers: Future studies should use larger sample frames and, for comparative purposes, previously validated empirical QAL instruments. Saudi-based QAL studies should include religion. Mixed methods research designs are recommended as is a gendered comparative study for the gender-segregated Saudi higher education context. Impact on Society: Deeper understandings of Saudi female graduate students’ QAL will facilitate (a) tailored institutional and faculty support leading to higher enrolment levels, (b) stronger knowledge bases and more sophisticated research skills for students and (c) improved labor force participation. Future Research: Over 1/3 of participants felt their academic gains were not as strong as anticipated, yet few commented about teaching staff or teaching methods. Future research should expand inquiries into the educational aspect of QAL as well as the underrepresented social aspect of QAL.

scholarly journals A critical review on the development and performance of polymer/graphene nanocomposites

2018 ◽  
Vol 25 (6) ◽  
pp. 1059-1073 ◽  
Author(s):  
Weifeng Chen ◽  
Hu Weimin ◽  
Dejiang Li ◽  
Shaona Chen ◽  
Zhongxu Dai
Keyword(s):  
Polymer Nanocomposites ◽  
Electronic Conductivity ◽  
Future Research ◽  
Preparation Methods ◽  
Graphene Nanocomposites ◽  
Advantages And Disadvantages ◽  
Solution Blending ◽  
Potential Applications ◽  
New Type ◽  
And Performance

AbstractGraphene (graphene) is a new type of two-dimensional inorganic nanomaterial developed in recent years. It can be used as an ideal inorganic nanofiller for the preparation of polymer nanocomposites because of its high mechanical strength, excellent electrical conductivity and plentiful availability (from graphite). In this review, the preparation methods of graphene/polymer nanocomposites, including solution blending, melt blending and in situ polymerization, are introduced in order to study the relationship between these methods and the final characteristics and properties. Each method has an influence on the final characteristics and properties of the nanocomposites. The advantages and disadvantages of these methods are discussed. In addition, a variety of nanocomposites with different properties, such as mechanical properties, electronic conductivity, thermal conductivity and thermal properties, are summarized comprehensively. The potential applications of these nanocomposites in conductive materials, electromagnetic shielding materials, photocatalytic materials and so on, are briefly presented. This review demonstrates that polymer/graphene nanocomposites exhibit superior comprehensive performance and will be applied in the fields of new materials and novel devices. Future research directions of the nanocomposites are also presented.

Comparative Analysis of Data Preparation Methods Employed in Prediction of Diabetes Mellitus Diagnosis using eICU-CRD Dataset.

2021 ◽  
Author(s):  
Sai Lakshmi Nikhita Sagi ◽  
Mamatha Narsapuram ◽  
Pravallika Nakarikanti ◽  
Sahithi Sane ◽  
Sai Sudha Vadisina ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Comparative Analysis ◽  
Data Preparation ◽  
Preparation Methods ◽  
Diabetes Mellitus Diagnosis ◽  
Prediction Of Diabetes

scholarly journals What Is Known about Secondary Grades Mathematical Modelling --A Review

2016 ◽  
Vol 8 (5) ◽  
pp. 12 ◽  
Author(s):  
Micah Stohlmann ◽  
Lina DeVaul ◽  
Charlie Allen ◽  
Amy Adkins ◽  
Taro Ito ◽  
...  
Keyword(s):  
Mathematical Modelling ◽  
Secondary Level ◽  
Future Research ◽  
Assessment Data ◽  
Unit Of Analysis ◽  
Knowledge And Skills ◽  
Construction Of Knowledge ◽  
Units Of Analysis ◽  
Secondary Grades ◽  
Modelling Process

<p><span lang="EN-US">Mathematical modelling is garnering more attention and focus at the secondary level in many different countries because of the knowledge and skills that students can develop from this approach. This paper serves to summarize what is it known about secondary mathematical modelling to guide future research. A targeted and general literature search was conducted and studies were summarized based on four categories: assessment data collected, unit of analysis studied, population, and effectiveness. It was found that there were five main units of analysis into which the studies could be categorized: modelling process/sub-activities, modelling competencies/ability, blockages/difficulties during the modelling process, students’ beliefs, and construction of knowledge. The main findings from each of these units of analysis is discussed along with future research that is needed. </span></p>

scholarly journals Preparation, Performances, and Mechanisms of Microbial Flocculants for Wastewater Treatment

2020 ◽  
Vol 17 (4) ◽  
pp. 1360 ◽  
Author(s):  
Huiru Li ◽  
Shaohua Wu ◽  
Cheng Du ◽  
Yuanyuan Zhong ◽  
Chunping Yang
Keyword(s):  
Heavy Metals ◽  
Wastewater Treatment ◽  
Suspended Solids ◽  
Current Status ◽  
Future Research ◽  
Research Needs ◽  
Close Attention ◽  
Charge Neutrality ◽  
Environmental Friendliness ◽  
Preparation Methods

In recent years, close attention has been paid to microbial flocculants because of their advantages, including safety to humans, environmental friendliness, and acceptable removal performances. In this review, the preparation methods of microbial flocculants were first reviewed. Then, the performances of bioflocculants in the removal of suspended solids, heavy metals, and other organic pollutants from various types of wastewater were described and commented, and the removal mechanisms, including adsorption bridging, charge neutralization, chemical reactions, and charge neutrality, were also discussed. The future research needs on microbial flocculants were also proposed. This review would lead to a better understanding of current status, challenges, and corresponding strategies on microbial flocculants and bioflocculation in wastewater treatment.

scholarly journals Spatial Agreement among Vegetation Disturbance Maps in Tropical Domains Using Landsat Time Series

2020 ◽  
Vol 12 (18) ◽  
pp. 2948
Author(s):  
Inacio T. Bueno ◽  
Greg J. McDermid ◽  
Eduarda M. O. Silveira ◽  
Jennifer N. Hird ◽  
Breno I. Domingos ◽  
...  
Keyword(s):  
Atlantic Forest ◽  
Input Data ◽  
Vegetation Index ◽  
Vegetation Type ◽  
Future Research ◽  
Moisture Index ◽  
Vegetation Disturbance ◽  
Specific Sensitivity ◽  
Disturbance Detection ◽  
Semi Arid

Detecting disturbances in native vegetation is a crucial component of many environmental management strategies, and remote sensing-based methods are the most efficient way to collect multi-temporal disturbance data over large areas. Given that there is a large range of datasets for monitoring, analyzing, and detecting disturbances, many methods have been well-studied and successfully implemented. However, factors such as the vegetation type, input data, and change detection method can significantly alter the outcomes of a disturbance-detection study. We evaluated the spatial agreement of disturbance maps provided by the Breaks For Additive Season and Trend (BFAST) algorithm, evaluating seven spectral indices in three distinct vegetation domains in Brazil: Atlantic forest, savanna, and semi-arid woodland, by assessing levels of agreement between the outputs. We computed individual map accuracies based on a reference dataset, then ranked their performance, while also observing their relationships with specific vegetation domains. Our results indicated a low rate of spatial agreement among index-based disturbance maps, which itself was minimally influenced by vegetation domain. Wetness indices produced greater detection accuracies in comparison to greenness-related indices free of saturation. The normalized difference moisture index performed best in the Atlantic forest domains, yet performed poorest in semi-arid woodland, reflecting its specific sensitivity to vegetation and its water content. The normalized difference vegetation index led to high disturbance detection accuracies in the savanna and semi-arid woodland domains. This study offered novel insight into vegetation disturbance maps, their relationship to different ecosystem types, and corresponding accuracies. Distinct input data can produce non-spatially correlated disturbance maps and reflect site-specific sensitivity. Future research should explore algorithm limitations presented in this study, as well as the expansion to other techniques and vegetation domains across the globe.

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