Internet of Things (IoT) systems tend to generate with energy and good data to process and responding. In internet of things devices, the most important challenge when sending data to the cloud the level of energy consumption. This paper introduces an energy-efficient abstraction method data collection in medical with IoT-based for the exchange. Initially, the data required for IoT devices is collected from the person. First, Adaptive Optimized Sensor-Lamella Zive Welch (AOSLZW) is a pressure sensing prior to the data transmission technique used in the process. A cloud server is used data reducing the amount of data sent from IoT devices to the AOSLZW strategy. Finally, a deep neural network (DNN) based on Particle Swarm Optimization (PSO) known as DNN-PSO algorithm is used for data sensed result model make decisions based as a predictive to make it. The results are studied under distinct scenarios of the presented of the performance for AOSLZW-DNN-PSO method, for that simation are studied under different sections. This current pattern of simalation results indicates that the AOSLZW-DNN-PSO method is effective under several aspects.
An intelligent segmentation and identification of edemas diseases constitutes a most important crucial ophthalmological issues since they provide important information for the diagnosis process in accordance to the disease severity. But diagnosing the different edema diseases using the OCT-images are considered to be daunting challenge among the researchers. The implementation of computational intelligence techniques such as machine learning, deep learning, bio inspired algorithms and image processing techniques may help the doctors for some extent in improving the automatic extraction and diagnosis process consequently improving patients’ life quality. But, these are liable to more errors and less performance, which requires further improvisation in designing the intelligent systems for an effective classification of edema diseases. In this context, this paper proposes the hybrid intelligent framework for the identification, segmentation and classification of three types of edemas such as using the retinal optical coherence tomography (OCT) Images. In this process, Single Feed Forward Training networks (SLFTN) are integrated with Convolutional Layers whose hyperparameters are tuned by using Lion Optimization algorithm. An intensive experimentation is carried out using the Kaggle Retinal OCT Image datasets-2020 with Tensor flow and the proposed framework is trained with the different set of 84,494 images in which performance metrics such as accuracy, sensitivity, specificity, recall and f1score are calculated. Results shows the proposed system has provided satisfactory performance, reaching the average highest accuracy of 99.9% in identifying and classifying the respectively.
CDIO (Conceiving — Designing — Implementing — Operating) Initiative collaborators have adopted CDIO as the framework of their curricular planning and outcome-based assessment which demands more active learning strategies. A flipped classroom is a student centric instructional strategy and a type of blended learning, which aims to increase student engagement and learning by having complete readings at home and work on live problem-solving during class time. Virtual labs are interactive, digital simulations of activities to learn/explain certain concept that improves the content delivery of all types of courses and is helpful for students understanding and applying the concepts in a better way. How can a virtual lab help in flipped mode especially in what type of course? The experiment is conducted for the course 18EE340 -Digital Systems with two sets of students: experimental group with virtual lab integrated Flipped model and controlled group with flipped model without virtual lab. The outcome of the activity is measured using focus group discussions and it is understood that students have involved in the activity with attentiveness and the positive outcome is also seen in the results of CAT performance. It is found that 14.5% improvement is obtained in the experimental group when compared to the controlled group. Also the research study shows that the CDIO skills get improved by adopting the proposed method. On the other hand, this paper also discusses the common errors made in Flipped Class during planning and how to overcome them based on experiential learning using 5 different case studies. Keywords: CDIO, Flipped Class, Virtual lab, learning outcome
Abstract-Wireless Sensor Networks (WSNs) are endearing to researchers in view of their outspread application capacity in the multifarious domain such as object detection and tracking, industrial automation, environmental monitoring, smart home, and tactical system [1]. Typically, a WSN comprises of enormous low-cost and small sensor nodes which are deployed in an intended region to acquire data of interest. However, poor sensing range of a node evolves compact network, hence developing a dynamic Medium-Access Control (MAC) protocol is predominant. So far, a great number of MAC protocols have been presented with different ideas for wireless sensor networks. Initially, researchers' prime consideration was energy efficiency. In the recent past, researchers have given priority to design a protocol that supports multitasking while being adaptive to traffic loads. In this paper, an attempt has been made to survey the numerous Primitive and Schedule-Based MAC protocols. At first, the properties of wireless sensors paramount for the design of MAC layer protocols are summarized. Then, the Primitive MAC protocols and Scheduled-Based MAC protocols are discussed, and finally, their advantages and disadvantages are emphasized. Keywords-Energy Efficiency, FDMA, Medium Access Control (MAC), TDMA, Wireless Sensor Networks.I. INTRODUCTION TO WSNs MAC Great progress in technology has emanated the evolution of small, inexpensive sensor nodes which are embedded with various sections like sensing, processing, and communication. The vast application scope has been encouraged by sensor nodes through wireless sensor networking [2][3]. The pivotal aspect of WSN protocol design is to enhance energy efficiency, considering the sensor nodes which are required to work independently with smaller batteries while boosting sensor node lifespan. Since each node comprises of a transceiver that communicates with other nodes, battery span plays an important role in node health. Since the WSN are expected to work efficiently with minimal human intervention, it is highly desired to design a protocol that produces very little bottlenecks. Medium access control is a subsection of the data link layer which is the most widely considered layer for the accurate functioning of any communication system. The fundamental work of MAC is to organize transmission and reception over a medium common to various nodes. Since WSN comprises of a large number of nodes communicating with one another, it is essential to have an accurate MAC protocol to increase the WSN efficiency. This has caused a widespread research on designing an efficient MAC protocol [4]. An energy efficient MAC protocol enhances the lifespan of a sensor network to a larger extent by regulating the transceiver, which is a crucial energy consuming component. In addition, it mitigates the collisions and enhances the throughput. There have been a prodigious number of investigations on the design and implementation of MAC protocols in WSNs. Therefore, it is essential to conduct an effective survey on WS...
Anti-Collision System for Avoidance of accident occurrence on road among the vehicle will be able to detect the object which is approaching the vehicle. And at the same time, it will also recognize the category of approaching objects to determine whether it comes in the category of obstacle or not. Apart from Object recognition, the system will also be able to determine the distance between the respective vehicle and the approaching object to the vehicle and if the object will come to the nearest distance to the vehicle, which is implemented as the danger distance for them, then the notification alarm will start to ring with the signature of warning signal to the vehicle driver site. Due to this, the vehicle collision and the occurrence of road accidents among the vehicle will be reduced and also as the system is performing the recognition then the vehicle driver will also be able to see the color of the front traffic light on their display unit.
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