Machine learning tools are increasingly employed for the early detection of various diseases over the last few years. This article makes a novel attempt in applying Naive Bayes classifier in discriminating healthy control from Alzheimer's affected brain. Percentage volumes of white matter (WM), gray matter (GM) and cerebro spinal fluid (CSF) are used as potential biomarkers in the proposed classification process. A large number of ADNI images have been considered for validating the results. Experimental observations have revealed satisfactory performance in terms of accuracy, sensitivity, precision and specificity of the classifier.
This paper talks about design, realization and measured results of active frequency tripler (X-Band (8.5-10GHz) to Ka-Band (25.5-30GHz)) with amplifier stages. Due to non-availability of discrete active devices at these frequencies, it was planned to carry out the design using GaAs based 130nm MMIC technology. Frequency multiplication of order 3 with input and output amplifier stages are considered to meet the required specifications. Packaged die generates output power in the range of +12dBm to +17dBm and harmonic rejection better than 20dBc is achieved without any additional filter in the circuit. MMIC die is realized with a chip size of 3.1mm x 1.lmm.
In this paper, a 4×4 MIMO Antenna has been constructed, all arranged in an Orthogonal arrangement, with each using an FR-4 substrate which has a compact footprint of 150mm X 80mm X 0.8mm which is a standard for 5G MIMO Antenna terminals with a dielectric constant of 4.3. The antenna patch is made of copper with a thickness of O.018mm. The purpose of developing the proposed antenna is to integrate the antenna model in a 5G base station or 5G mobile cellular devices. Keeping the requirements of 5G communication needs in mind, the proposed antenna has been developed for Good Bandwidth, Isolation, and Radiation Efficiency. The proposed antenna has been designed to operate in the N-77 Band (3.2GHz-4.2GHz) which is considered ideal for the operations of a 5G Antenna. The Isolation achieved by the proposed antenna is well below -15 dB for all the antenna elements. The Bandwidth is about 0.2709GHz, which is good compared to other 5G MIMO antennas currently used. All antenna ports have been designed for an impedance matching of 50ohm. A meandered line antenna structure inspired the Antenna design with a quarter ground structure. The Antenna model has been simulated using the Ansys HFSS tool to simulate and compute results.
Regarding geographic cloud computing, the three most crucial services are storage, processing, and visualisation. This cloud computing setup necessitates using the Internet of Spatial Things (IoST) technology. Users, planners, and environmentalists can all benefit from this technology because it can be used to build geospatially enabled smart environmental monitoring and assessment frameworks. There are many technical challenges in the IoST-enabled geospatial cloud environment, including scalability, security, privacy, and interoperability. Timely provision of real-time services is crucial for most environmental monitoring systems. The present work proposes a novel priority Queueing assisted IoST-Fog-Blockchain framework for the environmental monitoring and assessment system to resolve these issues. Temporarily storing geographical data, processing geospatial data, and visualising geospatial data are all services provided by the proposed framework, all of which can be accessed from the closest fog node. It minimises the Geospatial cloud servers' overload, traffic density, bandwidth requirements and service time. A novel priority Queueing analytical approach implies enhancing access control and ensuring the timely delivery of these services. Finally, it illustrates the several numerical outcomes that show how the proposed priority analytical model may be used to anticipate the performance indices of the presented system.
The proposed research manages the plans of another ultra-minimized optical Decoder on a rectangular lattice utilizing 2 dimensional photonic crystal platform. The arranged decoder works utilizing interference technique at a frequency of 1550 nm and refractive index of 3.46. Silicon material is utilized with rod radius of 0.2a and lattice constant of 0.62µm which consumes an area of 73.5 µm2 and obtained contrast ratio of Do and D1output is 13.66dB and 14.14dB respectively. Plane wave expansion and FDTD method is used to construct the designs.
