scholarly journals 6G Enabled Tactile Internet and Cognitive Internet of Healthcare Everything: Towards a Theoretical Framework

2021 ◽  
Vol 4 (3) ◽  
pp. 66
Author(s):  
Prafulla Kumar Padhi ◽  
Feranando Charrua-Santos
Keyword(s):  
Rural Areas ◽  
Process Management ◽  
High Reliability ◽  
Theoretical Framework ◽  
Cognitive Computing ◽  
Healthcare Applications ◽  
Cognitive Intelligence ◽  
Model Driven ◽  
Digital Era ◽  
Cognitive Data

Digital era deficiencies traditionally exist in healthcare applications because of the unbalanced distribution of medical resources, especially in rural areas globally. Cognitive data intelligence, which constitute the integration of cognitive computing, massive data analytics, and tiny artificial intelligence, especially tiny machine learning, can be used to palpate a patient’s health status, physiologically and psychologically transforming the current healthcare system. To remotely detect patients’ emotional state of diagnosing diseases, the integration of 6G enabled Tactile Internet, cognitive data intelligence, and Internet of Healthcare Everything is proposed to form the 6GCIoHE system that aims at achieving global ubiquitous accessibility, extremely low latency, high reliability, and elevated performance in cognitive healthcare in real time to ensure patients receive prompt treatment, especially for the haptic actions. Judiciously, a model-driven methodology is proffered to facilitate the 6GCIoHE system design and development that adopts different refinement levels to incorporate the cognitive healthcare requirements through the interactions of semantic management, process management, cognitive intelligence capabilities, and knowledge sources. Based on the 6GCIoHE system architecture, applications, and challenges, the aim of this study was accomplished by developing a novel theoretical framework to captivate further research within the cognitive healthcare field.

scholarly journals A Model-Driven-to-Sample-Driven Method for Rural Road Extraction

2021 ◽  
Vol 13 (8) ◽  
pp. 1417
Author(s):  
Jiguang Dai ◽  
Rongchen Ma ◽  
Litao Gong ◽  
Zimo Shen ◽  
Jialin Wu
Keyword(s):  
Rural Areas ◽  
Template Matching ◽  
Color Space ◽  
Recall Rate ◽  
Road Extraction ◽  
Rural Roads ◽  
Model Driven ◽  
The Road ◽  
Center Point ◽  
Manual Input

Road extraction in rural areas is one of the most fundamental tasks in the practical application of remote sensing. In recent years, sample-driven methods have achieved state-of-the-art performance in road extraction tasks. However, sample-driven methods are prohibitively expensive and laborious, especially when dealing with rural roads with irregular curvature changes, narrow widths, and diverse materials. The template matching method can overcome these difficulties to some extent and achieve impressive road extraction results. This method also has the advantage of the vectorization of road extraction results, but the automation is limited. Straight line sequences can be substituted for curves, and the use of the color space can increase the recognition of roads and nonroads. A model-driven-to-sample-driven road extraction method for rural areas with a much higher degree of automation than existing template matching methods is proposed in this study. Without prior samples, on the basis of the geometric characteristics of narrow and long roads and using the advantages of straight lines instead of curved lines, the road center point extraction model is established through length constraints and gray mean contrast constraints of line sequences, and the extraction of some rural roads is completed through topological connection analysis. In addition, we take the extracted road center point and manual input data as local samples, use the improved line segment histogram to determine the local road direction, and use the panchromatic and hue, saturation, value (HSV) space interactive matching model as the matching measure to complete the road tracking extraction. Experimental results show that, for different types of data and scenarios on the premise, the accuracy and recall rate of the evaluation indicators reach more than 98%, and, compared with other methods, the automation of this algorithm has increased by more than 40%.

scholarly journals Developing an Integrative Theoretical Framework for Climate Proofing Spatial Planning Across Sectors, Policy Levels and Planning Areas

2021 ◽  
Author(s):  
Maria Juschten ◽  
Florian Reinwald ◽  
Roswitha Weichselbaumer ◽  
Alexandra Jiricka-Pürrer
Keyword(s):  
Climate Change ◽  
Rural Areas ◽  
Spatial Planning ◽  
Conceptual Development ◽  
Climate Change Impacts ◽  
Holistic Approach ◽  
Theoretical Framework ◽  
Federal States ◽  
Planning Experts ◽  
Urban And Regional Development

Spatial planning holds a key role in preventing or mitigating the impacts of climate change on both cities and rural areas, taking a forward-thinking and holistic approach to urban and regional development. As such, spatial planning deals with challenges occurring at different scales and across sectors. The international literature points out the need for horizontal and vertical cooperation to tackle climate change impacts. While there is abundant knowledge regarding the challenges related to climate change at different spatial levels, procedural integration into planning frameworks and practice is currently under-researched. This paper presents a novel theoretical framework that integrates various steps towards a holistic, integrative and adaptive climate proofing process. An iterative process was used for conceptual development, based on literature review followed by external feedback meetings and two workshops with the core team of planning experts responsible for exchange across federal states. By specifically addressing the challenges relating to cross-regional and cross-sectoral planning, this novel framework attempts to (i) facilitate a hierarchy of measures, (ii) maximise co-benefits for various adaptation purposes and climate change mitigation and (iii) foster the long-term institutionalisation of integrative processes across sectors, planning areas and policy levels.

scholarly journals TRAVELERS EXPERIENCES IN RAIL TOURISM AMONG SPECIAL INTEREST TOURIST IN SABAH MALAYSIA: THEORETICAL REVIEW

2021 ◽  
Vol 6 (26) ◽  
pp. 204-214
Author(s):  
Nur Ainna Aznida Abdullah ◽  
Syed Muhammad Rafy Syed Jaafar
Keyword(s):  
Content Analysis ◽  
Literature Review ◽  
Rural Areas ◽  
Special Interest ◽  
Theoretical Framework ◽  
Tourism Industry ◽  
Developed Country ◽  
Transportation Corridor ◽  
The World ◽  
Rail Travel

Rail sometimes serves mainly as a transportation corridor connecting rural areas, or urban settings and green strips. However, the rise in the tourism industry in a developed country has increased the popularity of trails used in recreation. Apart from that, rail travel can be experienced as an enhancement of travel especially the onboard journey. Even though the rail tourism industry is well developed around the world, the studies related to rail travel in Malaysia are less plentiful. Therefore, this paper aims to review the idea of traveller’s experiences in rail tourism and identify the factors that contribute to rail tourism in Sabah Malaysia, especially among Special Interest Tourists (SITs). SITs can be defined as a specialized style of touristy that focuses on one topic and personally conducted tour by folks that wish to develop their interests. A content analysis on rail tourism, traveller’s experience, and the dimension of rail services was conducted for this paper. This is also involved an interview with the stakeholder to clarify and explain the features of rail tourism based on the content analysis and literature review. As for that, it's pointed out that the features and characteristics of the rail tourism setting as the variables of development criteria can make the touring route from the railway station is a pleasurable experience for tourists. It will give an impact on the experience and generate the intention of travellers to revisit and experience the services again. The final theoretical framework has been developed to show the concept of rail tourism among Special Interest Tourists (SITs) in Sabah Malaysia.

scholarly journals Bidirectional Battery Interface in Standalone Solar PV System for Electrification in Rural Areas

2021 ◽  
Vol 5 (2) ◽  
pp. 59
Author(s):  
Yuwono Bimo Purnomo ◽  
F. Danang Wijaya ◽  
Eka Firmansyah
Keyword(s):  
Rural Areas ◽  
High Efficiency ◽  
High Reliability ◽  
Reference Value ◽  
Solar Pv ◽  
Pv System ◽  
Solar Pv System ◽  
Dc Bus ◽  
Bus Voltage ◽  
Power Capability

In a standalone photovoltaic (PV) system, a bidirectional DC converter (BDC) is needed to prevent the battery from damage caused by DC bus voltage variation. In this paper, BDC was applied in a standalone solar PV system to interface the battery with a DC bus in a standalone PV system. Therefore, its bidirectional power capability was focused on improving save battery operation while maintaining high power quality delivery. A non-isolated, buck and boost topology for the BDC configuration was used to interface the battery with the DC bus. PID controller-based control strategy was chosen for easy implementation, high reliability, and high dynamic performance. A simulation was conducted using MATLAB Simulink program. The simulation results show that the implementation of the BDC controller can maintain the DC bus voltage to 100 V, have high efficiency at 99.18% in boost mode and 99.48% in buck mode. To prevent the battery from overcharging condition, the BDC stops the charging process and then works as a voltage regulator to maintain the DC bus voltage at reference value.

On Cognitive Computing

2012 ◽  
pp. 83-97
Author(s):  
Yingxu Wang
Keyword(s):  
Computational Intelligence ◽  
Autonomic Computing ◽  
Theoretical Framework ◽  
Autonomous Agent ◽  
Cognitive Computing ◽  
Cognitive Informatics ◽  
Intelligent Computing ◽  
Agent Systems ◽  
The Brain ◽  
Theoretical Foundations

Inspired by the latest development in cognitive informatics and contemporary denotational mathematics, cognitive computing is an emerging paradigm of intelligent computing methodologies and systems, which implements computational intelligence by autonomous inferences and perceptions mimicking the mechanisms of the brain. This article presents a survey on the theoretical framework and architectural techniques of cognitive computing beyond conventional imperative and autonomic computing technologies. Theoretical foundations of cognitive computing are elaborated from the aspects of cognitive informatics, neural informatics, and denotational mathematics. Conceptual models of cognitive computing are explored on the basis of the latest advances in abstract intelligence and computational intelligence. Applications of cognitive computing are described from the aspects of autonomous agent systems and cognitive search engines, which demonstrate how machine and computational intelligence may be generated and implemented by cognitive computing theories and technologies toward autonomous knowledge processing.

A Framework of Enhanced Performance

2018 ◽  
Vol 8 (3) ◽  
pp. 1-17 ◽  
Author(s):  
Md. Abul Kalam Siddike ◽  
Jim Spohrer ◽  
Haluk Demirkan ◽  
Youji Kohda
Keyword(s):  
Data Analysis ◽  
Theoretical Framework ◽  
Cognitive Computing ◽  
Daily Lives ◽  
People’S Daily ◽  
Smart Machines ◽  
People's Daily ◽  
The Impact

While cognitive computing-enabled smart computers are growing in people's daily lives, there are not many studies that explain how people interact and utilize these solutions, and the impact of these smart machines to people's performance to do things. In this article, a theoretical framework for boosting people's performance using cognitive assistants (CAs) was developed and explained using the data analysis from 32 interviews. The results show that people interaction with CAs enhance their levels of cognition and intelligence that help them to enhance their capabilities. Enhanced capabilities help people to enhance their performance.

Cognitive Intelligence

2016 ◽  
Vol 10 (4) ◽  
pp. 1-20 ◽  
Author(s):  
Yingxu Wang ◽  
Bernard Widrow ◽  
Lotfi A. Zadeh ◽  
Newton Howard ◽  
Sally Wood ◽  
...  
Keyword(s):  
Machine Learning ◽  
Big Data ◽  
Computational Intelligence ◽  
Cognitive Systems ◽  
Cognitive Computing ◽  
Cognitive Intelligence ◽  
Basic Studies ◽  
Deep Reasoning ◽  
Intelligence Theories ◽  
The Brain

The theme of IEEE ICCI*CC'16 on Cognitive Informatics (CI) and Cognitive Computing (CC) was on cognitive computers, big data cognition, and machine learning. CI and CC are a contemporary field not only for basic studies on the brain, computational intelligence theories, and denotational mathematics, but also for engineering applications in cognitive systems towards deep learning, deep thinking, and deep reasoning. This paper reports a set of position statements presented in the plenary panel (Part I) in IEEE ICCI*CC'16 at Stanford University. The summary is contributed by invited panelists who are part of the world's renowned scholars in the transdisciplinary field of CI and CC.

scholarly journals Analyzing the Improved Software Reliability Based on the Markov Model by Considering Error propagation

2018 ◽  
Vol 7 (2.32) ◽  
pp. 91
Author(s):  
Dr S. Srinivasa Rao ◽  
D Sowjanya ◽  
CH Dileep Chowdary ◽  
M Harika
Keyword(s):  
Markov Model ◽  
Reliability Analysis ◽  
Software Reliability ◽  
Error Propagation ◽  
High Reliability ◽  
Transformation Techniques ◽  
Model Driven ◽  
Model Based ◽  
Estimate Reliability ◽  
Analysis Design

In the software reliability analysis we proposed an approach, which is named as Model Driven Development method. This is a modelling and model transformation techniques. The Markov model used in reliability fields is modified to adapt to error propagation behaviors of components. The Markov model has been used for results of reliability analysis. Markov model which means that that future or upcoming states depend only on the present state not on the events that occurred before it to ensure high reliability of this software is to estimate reliability accurately in the developing phase. Then a study on the transformation between model based on Architecture & Analysis Design Language (AADL) and Markov model has been done. By considering all these a model based software reliability analysis approach is proposed. 

scholarly journals Extracting business vocabularies from business process models: SBVR and BPNM standards-based approach

2014 ◽  
Vol 11 (4) ◽  
pp. 1515-1535 ◽  
Author(s):  
Tomas Skersys ◽  
Kestutis Kapocius ◽  
Rimantas Butleris ◽  
Tomas Danikauskas
Keyword(s):  
Information Systems ◽  
Business Process ◽  
Process Model ◽  
Process Management ◽  
Systems Development ◽  
Process Models ◽  
Information Systems Development ◽  
Business Modeling ◽  
Business Process Models ◽  
Model Driven

Approaches for the analysis and specification of business vocabularies and rules are relevant topics in both Business Process Management and Information Systems Development disciplines. However, in common practice of Information Systems Development, the Business modeling activities still are of mostly empiric nature. In this paper, aspects of the approach for semi-automatic extraction of business vocabularies (BV) from business process models (BPM) are presented. The approach is based on novel business modeling-level OMG standards ?Business Process Model and Notation? (BPMN) and ?Semantics for Business Vocabularies and Business Rules? (SBVR), thus contributing to OMG?s vision of Model-Driven Architecture (MDA) and to model-driven development in general. The discussed extraction approach is evaluated against fully-automatic BPMN BPM ? SBVR BV transformation that has been developed in parallel to the presented work.

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