Application of Deep Learning and Symmetrized Dot Pattern to Detect Surge Arrester Status

Surge arresters primarily restrain lightning and switch surges in the power system to avoid damaging power equipment. When a surge arrester fails, it leads to huge damage to the power equipment. Therefore, this study proposed the application of a convolutional neural network (CNN) combined with a symmetrized dot pattern (SDP) to detect the state of the surge arrester. First, four typical fault types were constructed for the 18 kV surge arrester, including its normal state, aging of the internal valve, internal humidity, and salt damage to the insulation. Then, the partial discharge signal was measured and extracted using a high-speed data acquisition (DAQ) card, while a snowflake map was established by SDP for the features of each fault type. Finally, CNN was used to detect the status of the surge arrester. This study also used a histogram of oriented gradient (HOG) with support vendor machine (SVM), backpropagation neural network (BPNN), and k-nearest neighbors (KNN) for image feature extraction and identification. The result shows that the proposed method had the highest accuracy at 97.9%, followed by 95% for HOG + SVM, 94.6% for HOG + BPNN, and 91.2% for HOG + KNN. Therefore, the proposed method can effectively detect the fault status of surge arresters.

An Empirical Study of the Indian IT Sector on Typologies of Workaholism as Predictors of HR Crisis

Workaholism, in recent years, has become a regular behaviour pattern among professionals. While self-negligence is assumed as a hallmark of workaholism, empirical data in this case stands to be both narrow and paradoxical. Modern developments like high-speed data connections add more to this belief, as this makes it possible for employees who would like to work at any place and at any given point of time to work. Workaholism is found to affect several important domains of life. With regards to work domain, workaholics commonly seem to have poor associations with their peer/colleagues, most likely on the grounds that they often feel the need to control them and experience issues with delegating work. Given that the amount of time they invested in their work leaves little energy for them for other activities, also the social life outside work gets hampered. This chapter explores the relationship between workaholism, perceived work-related stress, different job conditions, and intensifying anxiety among IT professionals in Delhi/NCR.

A Comparative Study of 4G and VoLTE

This research paper provides an insight into the comparison between VoLTE and 4G. 4G Wireless Systems or Fourth generation wireless system is a packet switched wireless system with wide area coverage and high throughput. It is designed to be cost effective and to provide high spectral efficiency. VoLTE (voice over LTE) supports voice calls over 4G LTE network. With advanced VoLTE technology, the 4G network now provides high-speed data services, high-quality voice and video calls at affordable price. This paper first presents the challenges and benefits of both 4G and VoLTE and then compares them with consideration of different points. Keywords: GSM, LTE, VoLTE, 3G, HSPA, RAN

An In-Network Cooperative Storage Schema Based on Neighbor Offloading in a Programmable Data Plane

In scientific domains such as high-energy particle physics and genomics, the quantity of high-speed data traffic generated may far exceed the storage throughput and be unable to be in time stored in the current node. Cooperating and utilizing multiple storage nodes on the forwarding path provides an opportunity for high-speed data storage. This paper proposes the use of flow entries to dynamically split traffic among selected neighbor nodes to sequentially amortize excess traffic. We propose a neighbor selection mechanism based on the Local Name Mapping and Resolution System, in which the node weights are computed by combing the link bandwidth and node storage capability, and determining whether to split traffic by comparing normalized weight values with thresholds. To dynamically offload traffic among multiple targets, the cooperative storage strategy implemented in a programmable data plane is presented using the relative weights and ID suffix matching. Evaluation shows that our proposed schema is more efficient compared with end-to-end transmission and ECMP in terms of bandwidth usage and transfer time, and is beneficial in big science.

Research and Implementation of High-Speed Data Streams Symbol Synchronization Algorithm Using Training Sequence in IMDD-OOFDM System

We propose a symbol synchronization algorithm for high-speed data streams in IMDD-OOFDM system using a training sequence. Sampling point phase offset approximately sustains within ±π/32 and symbol synchronization deviation stabilizes within ±0.5 sampling point in a real-time system of 1.5Gsa/s.

GIF IMAGE HARDWARE COMPRESSORS

Increasing requirements for data transfer and storage is one of the crucial questions now. There are several ways of high-speed data transmission, but they meet limited requirements applied to their narrowly focused specific target. The data compression approach gives the solution to the problems of high-speed transfer and low-volume data storage. This paper is devoted to the compression of GIF images, using a modified LZW algorithm with a tree-based dictionary. It has led to a decrease in lookup time and an increase in the speed of data compression, and in turn, allows developing the method of constructing a hardware compression accelerator during the future research.

Design and Analysis of Commercially Viable Free-Space Optical Communication Link for Diverse Beam Divergence Profiles

With an exponential increase in the use of smart devices and with increasing demand for high-speed data applications, the Radio Frequency and Microwave links will find themselves almost incapable of meeting this deficit. Free-space optical (FSO) links are poised to take the leading role as communication systems for futuristic needs in providing cost-effective and high-speed connectivity to end-users. However, on the flip side, the reliability of FSO links has an intrinsic relationship with the characteristics of the atmospheric channel. During the propagation, the atmospheric adversities result in the geometrical spreading of the FSO beam which in turn has consequential degrading effects on the link performance. In this work, an FSO communication system based on practical, commercial, and realistic parameters has been proposed with the intent of accurately determining the co-relation between different beam divergence profiles and overall link performance. For different beam divergence profiles, the proposed link has been evaluated for reference bit error rate (BER) of 10–9 which is an ideal condition for delivering high-speed data access to the end-users. During the analysis, the practical constraints related to the trade-off between the maximum possible link range and beam divergence have also been optimized. The findings of this work will be crucial for engineers and designers in configuring FSO links for improved link range and reliability.

The New Edge. Building and Deploying a New State of the Art, High Speed Acquisition, Automation and Analytics Platform for Drilling, Completions, Production, and Renewable Energy Applications

This paper discusses the architecture, development, and deployment of a new state-of-the-art data acquisition and analytics platform. The system is designed to capture and store data for all phases of well construction and is also suited to aggregating data from renewable energy sources such as offshore wind turbines. In today's well construction world it is vitally important that an edge platform can capture high-quality, high-speed data. It needs to be able to universally translate data from many protocols and provide outbound data streams that are easy to consume and store. The high-quality data streams can then be queried by high-value analytics that ultimately deliver predictive and prescriptive solutions. Our approach was to identify the market pain and develop a system that solved the digital requirements for our customers who needed a field-deployed and field-supported, agnostic digital ecosystem. In the new "Digital Oilfield" the requirements for data capture, aggregation, edge computing, automation, cloud infrastructure and office applications are all expanding rapidly. Most "Edge" solutions are cloud-based and come from purely digital companies who have little or no domain knowledge or field infrastructure with which to deploy and maintain those systems. It was observed that an "Edge" solution was required that remained highly performant even if network connectivity from the cloud to the location was lost. This paper will also discuss the novel approach to the development of this platform with an oil & gas operator's subject matter experts being embedded in the contractor's product development team. The result being an end-to-end solution designed for both the requirements of the field and the office. The customer had previously built its own system internally, but was looking for a partner who could update and maintain an evergreen technology stack, increase speed and capability and be able to maintain and support a scalable product worldwide on all its operational locations. We will explain the development process, early field testing and commercialization of this product and the results that were achieved. This new system will have an open architecture that allows other digital companies to leverage the high-speed data and host their applications on the platform both on the wellsite and in the office. The system also provides interoperability with the machines on location, this interoperability enables a wide range of 3rd parties to be able to deliver automated applications on the well location. This technology will enable significant performance improvements in drilling and completion operations.

Sliding ferroelectricity in 2D van der Waals materials: Related physics and future opportunities

Near the 100th anniversary of the discovery of ferroelectricity, so-called sliding ferroelectricity has been proposed and confirmed recently in a series of experiments that have stimulated remarkable interest. Such ferroelectricity exists widely and exists only in two-dimensional (2D) van der Waals stacked layers, where the vertical electric polarization is switched by in-plane interlayer sliding. Reciprocally, interlayer sliding and the “ripplocation” domain wall can be driven by an external vertical electric field. The unique combination of intralayer stiffness and interlayer slipperiness of 2D van der Waals layers greatly facilitates such switching while still maintaining environmental and mechanical robustness at ambient conditions. In this perspective, we discuss the progress and future opportunities in this behavior. The origin of such ferroelectricity as well as a general rule for judging its existence are summarized, where the vertical stacking sequence is crucial for its formation. This discovery broadens 2D ferroelectrics from very few material candidates to most of the known 2D materials. Their low switching barriers enable high-speed data writing with low energy cost. Related physics like Moiré ferroelectricity, the ferroelectric nonlinear anomalous Hall effect, and multiferroic coupling are discussed. For 2D valleytronics, nontrivial band topology and superconductivity, their possible couplings with sliding ferroelectricity via certain stacking or Moiré ferroelectricity also deserve interest. We provide critical reviews on the current challenges in this emerging area.