A communication infrastructure is an essential part to the success of the emerging smart grid. A scalable and pervasive communication infrastructure is crucial in both construction and operation of a smart grid. In this paper, we present the background and motivation of communication infrastructures in smart grid systems. We also summarize major requirements that smart grid communications must meet. From the experience of several industrial trials on smart grid with communication infrastructures, we expect that the traditional carbon fuel based power plants can cooperate with emerging distributed renewable energy such as wind, solar, etc, to reduce the carbon fuel consumption and consequent green house gas such as carbon dioxide emission. The consumers can minimize their expense on energy by adjusting their intelligent home appliance operations to avoid the peak hours and utilize the renewable energy instead. We further explore the challenges for a communication infrastructure as the part of a complex smart grid system. Since a smart grid system might have over millions of consumers and devices, the demand of its reliability and security is extremely critical. Through a communication infrastructure, a smart grid can improve power reliability and quality to eliminate electricity blackout. Security is a challenging issue since the on-going smart grid systems facing increasing vulnerabilities as more and more automation, remote monitoring/controlling and supervision entities are interconnected.

https://digitalcommons.unl.edu/cgi/viewcontent.cgi?article=1315&context=electricalengineeringfacpub

A Survey on Smart Grid CommunicationInfrastructures: Motivations, Requirements andChallenges

Introduction to Mathematical Statistics. By R.V. Hogg and A. T. Craig. Pp. ix, 245. 47s. 1959. (The Macmillan Company, New York)

Copyright. The Neuroconnection 2016. Today, over 3 million individuals live with Autism Spectrum Disorder (ASD). About 1 in 68 or 1.5% of 8-year olds are identified with ASD by the Autism and Developmental Disabilities Monitoring (ADDM) Network (CDC, 2016). Most children diagnosed with ASD indicated developmental concerns in their health and/or special education records by age 3 years. However, less than half of children with ASD received a comprehensive developmental evaluation by this same age (CDC, 2016). A lag between first concern and first comprehensive developmental evaluation directly impacts when children are being diagnosed and can strongly affect the services they will need (CDC, 2016).

Autism spectrum disorder (ASD)

Low-voltage distribution networks are emerging as an increasingly important component of power system operations From a computational standpoint, the proactive utilization of these resources places daunting challenges due to their vast number and the non-linear physics that govern power flow in low-voltage networks For this reason, a hierarchical approach to the organization of distribution markets which can better cope with computational scalability may be desirable This paper models various alternatives to the coordination of transmission and distribution system operations, and investigates their relative performance on a small-scale network in terms of allocative efficiency, consistency with physical constraints, and pricing,

Coordination Schemes for the Integration of Transmission and Distribution System Operations

Although there are well established object detection methods based on static images, their application to video data on a frame by frame basis faces two shortcomings: (i) lack of computational efficiency due to redundancy across image frames or by not using a temporal and spatial correlation of features across image frames, and (ii) lack of robustness to real-world conditions such as motion blur and occlusion. Since the introduction of the ImageNet Large Scale Visual Recognition Challenge (ILSVRC) in 2015, a growing number of methods have appeared in the literature on video object detection, many of which have utilized deep learning models. The aim of this paper is to provide a review of these papers on video object detection. An overview of the existing datasets for video object detection together with commonly used evaluation metrics is first presented. Video object detection methods are then categorized and a description of each of them is stated. Two comparison tables are provided to see their differences in terms of both accuracy and computational efficiency. Finally, some future trends in video object detection to address the challenges involved are noted.

A Review of Video Object Detection: Datasets, Metrics and Methods

Technological advances in robotics have brought about exciting developments in different areas such as education, training, and therapy. Recent research has suggested that the robot can be even mor...

Robot applications for autism: a comprehensive review.

The security of video in the communication field become the major concern, especially after the rapid development of multimedia technology (internet and mobile devices). Since the using of multimedia data transmission become more and more due to the wide internet using all around the world, the video protection techniques, is becoming necessary to keep that information not accessible by irrelevant public or malicious attackers. The researchers have designed different type of encryption algorithms to secure the multimedia data, that algorithms have their strength and weakness points. In this paper, we will focus on introducing and comparison between the three popular encryption algorithms, DES, RSA and AES, as well to choose which encryption algorithm can be used to exchange video safely, and maintain the balancing between the security and computational time.

An analysis and comparison for popular video encryption algorithms

Cryptography is described as the study of encrypting or secret Cryptography is described as the study of encrypting or secret writing of data using logical and mathematical principles to protect information. This technique has grown in importance in computing technologies for banking services, medical systems, transportation and other Internet of Things (IoT)-based applications which have been subjected to increasing security concerns. In cryptography, each scheme is built with its own respective strength, but the implementation of single cryptographic scheme into the system has some disadvantages.For instance, symmetric encryption method provides a cost effective technique of securing data without compromi singsecurity. However, sharing the secret key is a vital problem. On the other hand the asymmetric scheme solves the secret key distribution issue; yet the standalone technique is slow and consumes more computer resources compared to the symmetric encryption. In contrast, hashing function generates a unique and fixed-length signature for a message to provide data integrity but the method is only a one-way function which is infeasible to invert. As an alternative to solve the security weakness of every single scheme, integration of several cryptographic of every single scheme, integration of several cryp to graphicschemes which are also called the hybridization techniqueis being proposed offering the efficiency of securing data and solving the issue of key distribution. Herein, a review study of articles related to hybrid cryptographic approach from 2013 to 2018 is presented. Current IoT domains that implemented hybrid approaches were identified and the review was conducted according to the category of the domain. The significant findings from this literature review included the exploration of various IoT domains that implemented hybrid cryptographic techniques for improving performance in related works. From the findings,it can be concluded that the hybrid cryptographic approach has been implemented in many IoT cloud computing services. In addition, AES and ECC have been found to be the most popular methods used in the hybrid approach due to its computing speed and security resistance among other schemes.

/pdf/hybrid-cryptographic-approach-for-internet-of-things-27xjwczsid.pdf

Hybrid cryptographic approach for internet of things applications: a review

Current 4G - the fourth-generation wireless communication, which exists in most countries, represents an advance of the previous 3 generation wireless communication. However, there are some challenges and limitations, associated with an explosion of wireless devices, which cannot be accommodated by 4G. Increasing the proliferation of smart devices, the development of new multimedia applications, and the growing demand for high data rates are among the main problems of the existing 4G system. As a solution, the wireless system designers have started research on the fifth-generation wireless systems. 5G will be the paradigm shift that could provide with ultra-high data rate, low latency, an increase of the base station capacity, and the improved quality of services. This paper is a review of the changes through the evolution of existing cellular networks toward 5G.  It represented a comprehensive study associated with 5G, requirements for 5G, its advantages, and challenges. We will explain the architecture changes – radio access network (RAN), air interfaces, smart antennas, cloud RAN, and HetNet. Furthermore, it discussed physical layer technologies, which include new channel modes estimation, new antenna design, and MIMO technologies. Also, it discussed MAC layer protocols. The article included three kinds of technologies: heterogeneous networks, massive multiple-input and output, and millimeter-wave. Finally, it explained the applications, supported by 5G, new features, various possibilities, and predictions.

/pdf/a-short-survey-on-next-generation-5g-wireless-networks-ufqny0xog7.pdf

A short survey on next generation 5G wireless networks

https://link.springer.com/content/pdf/10.1007/s11082-022-03857-8.pdf

Mohammed A. Saleh

Papers

Robot applications for autism: a comprehensive review.

An analysis and comparison for popular video encryption algorithms

Hybrid cryptographic approach for internet of things applications: a review

A short survey on next generation 5G wireless networks

Enhancing performance of WDM-RoFSO communication system utilizing dual channel technique for 5G applications