“Data-Cloud (TOKEN)’s application in SECURITY CLEARANCES at the Domestic as well at the International AIRPORTs”
Digitalization with orderly innovations are breaking the industry barriers and changing the existing core business models which have been practiced for decades. Wireless communication has penetrated in all fields of technology, especially in the mobility, where wireless transactions are gaining importance with improvements in standards like 3G, 4G & 5G. The Digital transformation came into existence with the advent of the fourth industrial revolution, referred to as Industry 4.0, which is circumscribed by the automation techniques such as big data analytics, digital systems, cyber algorithms, cloud computing, cognitive computing, and the Industrial Internet of Things (IIoT) in a cyber-physical continuum which now building the platform for 5G. Importantly, at the same time, the cloud computing is revolutionizing many industries by providing organizations with computing resources featuring easy deployment, connectivity, configuration, automation, and scalability. This paper presents overviews of the existing technologies and a wide array of both earlier and state-of-the-art projects on data-cloud’s security and privacy. This research studies also comprehends the possible upcoming technological changes at airports, and acknowledges & analyzes the digital forces affecting the future during the implementation of 5G. We also categorized this research according to the cloud reference architecture orchestration, resource control, physical resource, and cloud service management layers, in addition to reviewing the existing developments in privacy-preserving sensitive data approaches in data-cloud’s computing such as privacy threat modeling, protocols and solutions.
Keywords: - Airport, Big Data, Cloud Computing, Virtualization, Cloud Providers & Security, 5G, Token.
Effect of Glucose Concentration on Preparation of Cu2O Semiconductors as a Photocathode in Photoelectrochemical Water Splitting
Synthesis of Cu2O semiconductor thin layer as a photocathode in photoelectrochemical water splitting had been done. Before the Synthesis of Cu2O photocathode, on FTO was covered with copper thin film by applying electrodeposition method using a potentiostat. Then the Cu-FTO was covered Cu2O by then reacting with Fehling B solution with varied glucose concentrations (2, 4, and 6 %) . Characterization with XRD, SEM-EDX and UV-Vis Diffuse Reflectance Spectroscopy (UV-Vis DRS) was chosen for Cu2O that gave the highest current density and the most positive onset potential. The results showed photoelectrochemical property revealed the greater concentration of glucose solution, the greater the current density, Cu2O with a concentration of 6% produced the highest current density, namely 0.413 mA/cm2 and onset potential of 0.23 V. The results of X-ray diffraction showed that the sample contained Cu2O crystals with grain size averaged 87.82 nm. The results of SEM characterization of spherical crystalline morphology Cu2O, and EDX results showed the presence of Cu and O elements. The results of UV-Vis DRS showed that the energy band gap of Cu2O was 2.13 eV.
Data Analytics with Efficient Mining of Frequent Patterns on Decision Making
Feature and variable selection have become the most focused areas of application in research for which datasets with many number of variables are available. Feature selection in neural network can select features which are essential and discard unwanted and indifferent features. Such a method may pick up some useful but dependent features, all of which may not be needed. The proposed scheme, named as Feature Selection Multi-layer Perception (FSMLP), uses controlled redundancy for selecting the features both for classification and function approximation or prediction type problems. Several data sets like synthetic data set are used to demonstrate the effectiveness of the algorithms. In order to control the redundancy a measure of linear dependency is considered.
Nonlinear measures of reliance, such as correlative information are used since they are straightforward. These methods can report for feasible nonlinear fine interactions between tools, as well as that between attributes and the problem being cracked. They can also manage the level of idleness among the selected attributes.