12 research outputs found
A Survey on Intelligent Internet of Things: Applications, Security, Privacy, and Future Directions
peer reviewedThe rapid advances in the Internet of Things (IoT) have promoted a revolution
in communication technology and offered various customer services. Artificial
intelligence (AI) techniques have been exploited to facilitate IoT operations
and maximize their potential in modern application scenarios. In particular,
the convergence of IoT and AI has led to a new networking paradigm called
Intelligent IoT (IIoT), which has the potential to significantly transform
businesses and industrial domains. This paper presents a comprehensive survey
of IIoT by investigating its significant applications in mobile networks, as
well as its associated security and privacy issues. Specifically, we explore
and discuss the roles of IIoT in a wide range of key application domains, from
smart healthcare and smart cities to smart transportation and smart industries.
Through such extensive discussions, we investigate important security issues in
IIoT networks, where network attacks, confidentiality, integrity, and intrusion
are analyzed, along with a discussion of potential countermeasures. Privacy
issues in IIoT networks were also surveyed and discussed, including data,
location, and model privacy leakage. Finally, we outline several key challenges
and highlight potential research directions in this important area
RFID Technology in Intelligent Tracking Systems in Construction Waste Logistics Using Optimisation Techniques
Construction waste disposal is an urgent issue
for protecting our environment. This paper proposes a
waste management system and illustrates the work
process using plasterboard waste as an example, which
creates a hazardous gas when land filled with household
waste, and for which the recycling rate is less than 10%
in the UK. The proposed system integrates RFID
technology, Rule-Based Reasoning, Ant Colony
optimization and knowledge technology for auditing
and tracking plasterboard waste, guiding the operation
staff, arranging vehicles, schedule planning, and also
provides evidence to verify its disposal. It h relies on
RFID equipment for collecting logistical data and uses
digital imaging equipment to give further evidence; the
reasoning core in the third layer is responsible for
generating schedules and route plans and guidance, and
the last layer delivers the result to inform users. The
paper firstly introduces the current plasterboard
disposal situation and addresses the logistical problem
that is now the main barrier to a higher recycling rate,
followed by discussion of the proposed system in terms
of both system level structure and process structure.
And finally, an example scenario will be given to
illustrate the system’s utilization
SIMULATING SEISMIC WAVE PROPAGATION IN TWO-DIMENSIONAL MEDIA USING DISCONTINUOUS SPECTRAL ELEMENT METHODS
We introduce a discontinuous spectral element method for simulating seismic wave in 2- dimensional elastic media. The methods combine the flexibility of a discontinuous finite
element method with the accuracy of a spectral method. The elastodynamic equations are discretized using high-degree of Lagrange interpolants and integration over an element is
accomplished based upon the Gauss-Lobatto-Legendre integration rule. This combination of discretization and integration results in a diagonal mass matrix and the use of discontinuous finite element method makes the calculation can be done locally in each element. Thus, the algorithm is simplified drastically. We validated the results of one-dimensional problem by comparing them with finite-difference time-domain method and exact solution. The comparisons show excellent agreement
Entropy in Image Analysis II
Image analysis is a fundamental task for any application where extracting information from images is required. The analysis requires highly sophisticated numerical and analytical methods, particularly for those applications in medicine, security, and other fields where the results of the processing consist of data of vital importance. This fact is evident from all the articles composing the Special Issue "Entropy in Image Analysis II", in which the authors used widely tested methods to verify their results. In the process of reading the present volume, the reader will appreciate the richness of their methods and applications, in particular for medical imaging and image security, and a remarkable cross-fertilization among the proposed research areas
General Undergraduate Catalog, 2019-2020
Marshall University Undergraduate Course Catalog for the 2019-2020 academic year.https://mds.marshall.edu/catalog_2010-2019/1000/thumbnail.jp
CORPORATE SOCIAL RESPONSIBILITY IN ROMANIA
The purpose of this paper is to identify the main opportunities and limitations of corporate social responsibility (CSR). The survey was defined with the aim to involve the highest possible number of relevant CSR topics and give the issue a more wholesome perspective. It provides a basis for further comprehension and deeper analyses of specific CSR areas. The conditions determining the success of CSR in Romania have been defined in the paper on the basis of the previously cumulative knowledge as well as the results of various researches. This paper provides knowledge which may be useful in the programs promoting CSR.Corporate social responsibility, Supportive policies, Romania
2020-2021 Xavier University Undergraduate and Graduate University Catalog
https://www.exhibit.xavier.edu/coursecatalog/1273/thumbnail.jp
2022-2023 Xavier University Undergraduate and Graduate University Catalog
https://www.exhibit.xavier.edu/coursecatalog/1275/thumbnail.jp