If sample data disperses information like classification rules, these regulations can need to be combined and fused. This is usually done by combining either the classification outputs, like the classification ensembl...
If sample data disperses information like classification rules, these regulations can need to be combined and fused. This is usually done by combining either the classification outputs, like the classification ensemble, or by incorporating the collection of classification laws by independently weighing them. In this paper, we introduce a new way of assembling classifiers with parameters of classifiers. The technique is based on the use for regression analysis distributions in normative input dimensions of generative probabilistic graders and on nonparametric wave function for continuous. We also spread over classification parameters such as Dirichlet or regular Wishart. These populations are classified as populations of high or second order. We prove that two or more classificatory can be used by multiplying the hyper distributions of variables and drawing simple formulas for the assignment. Any research reveals how this modern approach is described. The primary advantage of this fusion approach is the conservation of hyper distribution in the fusion phase. For starters, the fused components can be used in the organized training steps.
This paper describes a blockchain-based privacy preservation scheme for medical health records. IoT, e-health, and cloud-based hospital management systems have all become important components of our healthcare system....
This paper describes a blockchain-based privacy preservation scheme for medical health records. IoT, e-health, and cloud-based hospital management systems have all become important components of our healthcare system. Hospital patient data is extremely sensitive and preserving patient data privacy appears to be difficult. The current method for data storage is to use a cloud storage system. All of this is done through a centralized system, and some management people control everything, which increases the risk of a data breach. We propose a smart contract-based blockchain architecture for the privacy of medical health data. The key features of blockchain are immutability and user confidentiality. We use IoT applications to take advantage of blockchain technology and eliminate its disadvantages, such as low throughput, high overhead, and latency. To that end, we’re clustering the BC miners and sending data to the nearest patient cluster with various keywords and multi-functionality, it supports secure data management.
This paper introduces a new design of an antenna called a WI-FI shape microstrip antenna (WI-FI SMA). The simulator CST Studio Suite 2018 is used in the design. The band frequencies achieved from results consider one ...
This paper introduces a new design of an antenna called a WI-FI shape microstrip antenna (WI-FI SMA). The simulator CST Studio Suite 2018 is used in the design. The band frequencies achieved from results consider one requirement of the 5G applications. The WI-FI SMA antenna operating at a resonating frequency of 29.321 GHz with reflection coefficient of −29.63 dB. The value of radiation efficiency is 99%, this value is considered very high compared with other researches. High gain was obtained (5.67 dB) with −2 dB sidelobe. The port that used in WI-FI SMA is called Waveguide feedline port. The smaller antenna size, more suitable for communication equipment and broadcasting stations.
To achieve secure quantum key distribution, all imperfections in the source unit must be incorporated in a security proof and measured in the lab. Here we perform a proof-of-principle demonstration of the experimental...
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To achieve secure quantum key distribution, all imperfections in the source unit must be incorporated in a security proof and measured in the lab. Here we perform a proof-of-principle demonstration of the experimental techniques for characterizing the source phase and intensity fluctuation in commercial quantum key distribution systems. When we apply the measured phase-fluctuation intervals to the security proof that takes into account fluctuations in the state preparation, it predicts a key distribution distance of over 100km of fiber. The measured intensity fluctuation intervals are, however, so large that the proof predicts zero key, indicating a source improvement may be needed. Our characterization methods pave the way for a future certification standard.
The present approach aims to provide safe and safe production of high-quality seafood by keeping regular levels of water in the fish tank by helping fish pool owners. The flow of high or low water into the fish pond s...
The present approach aims to provide safe and safe production of high-quality seafood by keeping regular levels of water in the fish tank by helping fish pool owners. The flow of high or low water into the fish pond solves the problem of killing fish in a fish tank for the long term. Every grade of water can impact animal health alone. The water flow in fish ponds describes how to check it every day. We need to check the parameters of the water on a regular basis. It symbolizes high water quality standards and bad water quality ponds and how they need to be improved. It is advised that the precondition for increasing output should be given priority to guarantee sustained fresh quality. Water quality parameters therefore maintain a balance; culture is the cornerstone for living creatures' health and growth. The water quality metrics should be monitored and evaluated regularly.
With the rapid proliferation of smart devices in wireless networks, more powerful technologies are expected to fulfill the network requirements of high throughput, massive connectivity, and diversify quality of servic...
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Water is a major issue that faced by the settlement area in most country around the world. Moreover, if the settlement is located in metropolis city. Based on those reasons, the authors triggered to conduct the study ...
Water is a major issue that faced by the settlement area in most country around the world. Moreover, if the settlement is located in metropolis city. Based on those reasons, the authors triggered to conduct the study regarding the identification of potential aquifer. The study carried out in Blang Bintang (Aceh Besar) by utilized 2D resistivity method. The 2D resistivity survey lines were conducted with 5 m minimum electrode spacing using pole-dipole array, and the results validated with existing borehole record. The bore-log identified aquifer zone located between sandy clay and clay with depth of 56-67 m. The 2D resistivity results shows the aquifer layer located at depth of 55-70 m with resistivity value of 30-45 Ωm. Both data are significantly consistent. It can be concluded that the aquifer can be identify using 2D resistivity imaging using any available array, but the resistivity values vary depend on their geology setting.
This paper advocates the use of the distributed compressed sensing(DCS)paradigm to deploy energy harvesting(EH)Internet of Thing(IoT)devices for energy *** consider networks with signal/energy models that capture the ...
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This paper advocates the use of the distributed compressed sensing(DCS)paradigm to deploy energy harvesting(EH)Internet of Thing(IoT)devices for energy *** consider networks with signal/energy models that capture the fact that both the collected signals and the harvested energy of different devices can exhibit *** provide theoretical analysis on the performance of both the classical compressive sensing(CS)approach and the proposed distributed CS(DCS)-based approach to data acquisition for EH ***,we perform an in-depth comparison of the proposed DCSbased approach against the distributed source coding(DSC)*** performance characterizations and comparisons embody the effect of various system phenomena and parameters including signal correlation,EH correlation,network size,and energy availability *** results unveil that,the proposed approach offers significant increase in data gathering capability with respect to the CS-based approach,and offers a substantial reduction of the mean-squared error distortion with respect to the DSC system.
Coronavirus is an authentic WHO-proclaimed pandemic disease. Qualified professionals and medical care organizations experienced significant conditions across the world. In addition, the governmental authority develops...
Coronavirus is an authentic WHO-proclaimed pandemic disease. Qualified professionals and medical care organizations experienced significant conditions across the world. In addition, the governmental authority develops a significant technique to alleviate the disease, to lock the nations. In this article, we proposed the covid detection system among the people by using several sensors embedded in a device to detect the people's disease. This system uses the Lora module for communication for the doctor's unit. IoT-based health networks attempt to improve health services quality through real-time data collecting and analysis. However, there are significant disadvantages with standard IoT systems. For example, they cannot function efficiently in locations with poor or unstable Internet. The solution to the question of internet services is a feasible option with technology like LPWAN (Low Power Wider Network), such as full-scale order elements, viz. Lora. The monitoring system plays a crucial role in diagnostic procedures and treatment.
Land use and land cover (LULC) classification are one of the important tasks to monitor the various land cover resources of the earth. In this research work, we have proposed a novel idea to classify the Landsat-8 mul...
Land use and land cover (LULC) classification are one of the important tasks to monitor the various land cover resources of the earth. In this research work, we have proposed a novel idea to classify the Landsat-8 multispectral remote sensing images. Machine learning and Deep learning algorithms play a very important tool to classify these multispectral images into various land cover classes such as cloud, water, forest, urban area, plantation, and cropland. In this paper, Long Short-Term Memory (LSTM) of Recurrent neural network (RNN) is used to achieve high-level classification accuracy and solve the memory problem issues which can be occurred at internal state. Our proposed work proved that; it resolved the gradient problem of recurrent neural networks. The Real-time experiment was conducted by Landsat-8 image and proposed work compared with traditional RNN and fuzzy c-means (FCM). The proposed method achieved 97.58% classification accuracy for the Landsat-8 image.
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