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Journal articles on the topic 'Wide area networks (Computer networks) Electronic data processing'

Author: Grafiati

Published: 4 June 2021

Last updated: 4 February 2022

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1

Imran, Zeba Ghaffar, Abdullah Alshahrani, Muhammad Fayaz, Ahmed Mohammed Alghamdi, and Jeonghwan Gwak. "A Topical Review on Machine Learning, Software Defined Networking, Internet of Things Applications: Research Limitations and Challenges." Electronics 10, no. 8 (2021): 880. http://dx.doi.org/10.3390/electronics10080880.

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In recent years, rapid development has been made to the Internet of Things communication technologies, infrastructure, and physical resources management. These developments and research trends address challenges such as heterogeneous communication, quality of service requirements, unpredictable network conditions, and a massive influx of data. One major contribution to the research world is in the form of software-defined networking applications, which aim to deploy rule-based management to control and add intelligence to the network using high-level policies to have integral control of the ne

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Amin, B. M. Ruhul, M. J. Hossain, Adnan Anwar, and Shafquat Zaman. "Cyber Attacks and Faults Discrimination in Intelligent Electronic Device-Based Energy Management Systems." Electronics 10, no. 6 (2021): 650. http://dx.doi.org/10.3390/electronics10060650.

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Intelligent electronic devices (IEDs) along with advanced information and communication technology (ICT)-based networks are emerging in the legacy power grid to obtain real-time system states and provide the energy management system (EMS) with wide-area monitoring and advanced control capabilities. Cyber attackers can inject malicious data into the EMS to mislead the state estimation process and disrupt operations or initiate blackouts. A machine learning algorithm (MLA)-based approach is presented in this paper to detect false data injection attacks (FDIAs) in an IED-based EMS. In addition, s

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Raju, V. Vijaya Rama, K. H. Phani Shree, and S. V. Jayarama Kumar. "Voltage instability identification with modified L-index using synchrophasor data." Indonesian Journal of Electrical Engineering and Computer Science 23, no. 3 (2021): 1340. http://dx.doi.org/10.11591/ijeecs.v23.i3.pp1340-1349.

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<p>In the prevailing open-access environment, one of the limitations for power exchanges has been voltage stability. The study of voltage stability necessitates a complete network representation. In this paper, the advantage of the dynamic behavior of generators is considered by incorporating dynamic models for generators. It has been shown dynamic models resulted in more accurate results compared to the conventional PV buses or ideal voltage source models that are used in most of the voltage stability studies. Moreover, the traditional L-index is augmented by incorporating real-time and

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Molina-Cabrera, Alexander, Mario A. Ríos, Yvon Besanger, Nouredine Hadjsaid, and Oscar Danilo Montoya. "Latencies in Power Systems: A Database-Based Time-Delay Compensation for Memory Controllers." Electronics 10, no. 2 (2021): 208. http://dx.doi.org/10.3390/electronics10020208.

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Time-delay is inherent to communications schemes in power systems, and in a closed loop strategy the presence of latencies increases inter-area oscillations and security problems in tie-lines. Recently, Wide Area Measurement Systems (WAMS) have been introduced to improve observability and overcome slow-rate communications from traditional Supervisory Control and Data Acquisition (SCADA). However, there is a need for tackling time-delays in control strategies based in WAMS. For this purpose, this paper proposes an Enhanced Time Delay Compensator (ETDC) approach which manages varying time delays

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Cho, Choongsang, Young Han Lee, Jongyoul Park, and Sangkeun Lee. "A Self-Spatial Adaptive Weighting Based U-Net for Image Segmentation." Electronics 10, no. 3 (2021): 348. http://dx.doi.org/10.3390/electronics10030348.

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Semantic image segmentation has a wide range of applications. When it comes to medical image segmentation, its accuracy is even more important than those of other areas because the performance gives useful information directly applicable to disease diagnosis, surgical planning, and history monitoring. The state-of-the-art models in medical image segmentation are variants of encoder-decoder architecture, which is called U-Net. To effectively reflect the spatial features in feature maps in encoder-decoder architecture, we propose a spatially adaptive weighting scheme for medical image segmentati

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Cai, Chen, Xuqiang Zheng, Yong Chen, et al. "A 1.55-to-32-Gb/s Four-Lane Transmitter with 3-Tap Feed Forward Equalizer and Shared PLL in 28-nm CMOS." Electronics 10, no. 16 (2021): 1873. http://dx.doi.org/10.3390/electronics10161873.

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This paper presents a fully integrated physical layer (PHY) transmitter (TX) suiting for multiple industrial protocols and compatible with different protocol versions. Targeting a wide operating range, the LC-based phase-locked loop (PLL) with a dual voltage-controlled oscillator (VCO) was integrated to provide the low jitter clock. Each lane with a configurable serialization scheme was adapted to adjust the data rate flexibly. To achieve high-speed data transmission, several bandwidth-extended techniques were introduced, and an optimized output driver with a 3-tap feed-forward equalizer (FFE)

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Gaitan, Nicoleta Cristina. "A Long-Distance Communication Architecture for Medical Devices Based on LoRaWAN Protocol." Electronics 10, no. 8 (2021): 940. http://dx.doi.org/10.3390/electronics10080940.

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Recent market studies show that the market for remote monitoring devices of different medical parameters will grow exponentially. Globally, more than 4 million individuals will be monitored remotely from the perspective of different health parameters by 2023. Of particular importance is the way of remote transmission of the information acquired from the medical sensors. At this time, there are several methods such as Bluetooth, WI-FI, or other wireless communication interfaces. Recently, the communication based on LoRa (Long Range) technology has had an explosive development that allows the tr

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Papastefanopoulos, Vasilis, Pantelis Linardatos, and Sotiris Kotsiantis. "Unsupervised Outlier Detection: A Meta-Learning Algorithm Based on Feature Selection." Electronics 10, no. 18 (2021): 2236. http://dx.doi.org/10.3390/electronics10182236.

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Outlier detection refers to the problem of the identification and, where appropriate, the elimination of anomalous observations from data. Such anomalous observations can emerge due to a variety of reasons, including human or mechanical errors, fraudulent behaviour as well as environmental or systematic changes, occurring either naturally or purposefully. The accurate and timely detection of deviant observations allows for the early identification of potentially extensive problems, such as fraud or system failures, before they escalate. Several unsupervised outlier detection methods have been

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Hyeon Kim, Ki, Dongkyun Kim, Yong Hwan Kim, and Joobum Kim. "Performance measurement using dpdk in software-defined local and wide area networks." International Journal of Engineering & Technology 7, no. 2.12 (2018): 119. http://dx.doi.org/10.14419/ijet.v7i2.12.11105.

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Background/Objectives: For data center-based enterprises, the use of data traffic continues to increase. As a result, the increasingly efficient processing of increasing data traffic is becoming a major issue. Effective processing of traffic can be performed through the addition of physical network equipment, but this requires considerable costs.Methods/Statistical analysis: To solve this problem, researches on server virtualization and network virtualization technology are being actively conducted. However, while network virtualization is a cost-effective solution, open-source virtual switche

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Mekruksavanich, Sakorn, and Anuchit Jitpattanakul. "Biometric User Identification Based on Human Activity Recognition Using Wearable Sensors: An Experiment Using Deep Learning Models." Electronics 10, no. 3 (2021): 308. http://dx.doi.org/10.3390/electronics10030308.

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Currently, a significant amount of interest is focused on research in the field of Human Activity Recognition (HAR) as a result of the wide variety of its practical uses in real-world applications, such as biometric user identification, health monitoring of the elderly, and surveillance by authorities. The widespread use of wearable sensor devices and the Internet of Things (IoT) has led the topic of HAR to become a significant subject in areas of mobile and ubiquitous computing. In recent years, the most widely-used inference and problem-solving approach in the HAR system has been deep learni

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Narasimhamurthy, S. B., P. C. Gurumohan, S. Sreenivasamurthy, and J. Y. Hui. "Quanta data storage: an information processing and transportation architecture for storage area networks." IEEE Journal on Selected Areas in Communications 23, no. 10 (2005): 2032–40. http://dx.doi.org/10.1109/jsac.2005.854128.

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Gallego-Madrid, Jorge, Alejandro Molina-Zarca, Ramon Sanchez-Iborra, et al. "Enhancing Extensive and Remote LoRa Deployments through MEC-Powered Drone Gateways." Sensors 20, no. 15 (2020): 4109. http://dx.doi.org/10.3390/s20154109.

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The distribution of Internet of Things (IoT) devices in remote areas and the need for network resilience in such deployments is increasingly important in smart spaces covering scenarios, such as agriculture, forest, coast preservation, and connectivity survival against disasters. Although Low-Power Wide Area Network (LPWAN) technologies, like LoRa, support high connectivity ranges, communication paths can suffer from obstruction due to orography or buildings, and large areas are still difficult to cover with wired gateways, due to the lack of network or power infrastructure. The proposal prese

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Wei-hsiu Ma and D. H. C. Du. "Reducing bandwidth requirement for delivering video over wide area networks with proxy server." IEEE Transactions on Multimedia 4, no. 4 (2002): 539–50. http://dx.doi.org/10.1109/tmm.2002.806536.

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Kim, Dae-Young, and Seokhoon Kim. "Data Transmission Using K-Means Clustering in Low Power Wide Area Networks with Mobile Edge Cloud." Wireless Personal Communications 105, no. 2 (2018): 567–81. http://dx.doi.org/10.1007/s11277-018-5742-1.

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Kim, Seokhoon, and Dae-Young Kim. "Adaptive Data Transmission Method According to Wireless State in Long Range Wide Area Networks." Computers, Materials & Continua 64, no. 1 (2020): 1–15. http://dx.doi.org/10.32604/cmc.2020.09545.

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Chang, Ray-I., Yu-Hsien Chu, Chia-Hui Wang, and Niang-Ying Huang. "Video-Like Lossless Compression of Data Cube for Big Data Query in Wireless Sensor Networks." WSEAS TRANSACTIONS ON COMMUNICATIONS 20 (August 10, 2021): 139–45. http://dx.doi.org/10.37394/23204.2021.20.19.

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Wireless Sensor Networks (WSNs) contain many sensor nodes which are placed in chosen spatial area to temporally monitor the environmental changes. As the sensor data is big, it should be well organized and stored in cloud servers to support efficient data query. In this paper, we first adopt the streamed sensor data as "data cubes" to enhance data compression by video-like lossless compression (VLLC). With layered tree structure of WSNs, compression can be done on the aggregation nodes of edge computing. Then, an algorithm is designed to well organize and store these VLLC data cubes into cloud

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Hasan, Mohammad Kamrul, Shayla Islam, Muhammad Shafiq, et al. "Communication Delay Modeling for Wide Area Measurement System in Smart Grid Internet of Things Networks." Wireless Communications and Mobile Computing 2021 (July 13, 2021): 1–10. http://dx.doi.org/10.1155/2021/9958003.

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We present communication frameworks, models, and protocols of smart grid Internet of Things (IoT) networks based on the IEEE and IEC standards. The measurement, control, and monitoring of grid being achieved through phasor measurement unit (PMU) based wide area measurement (WAM) framework. The WAM framework applied the IEEE standard C37.118 phasor exchange protocol to collect grid data from various substation devices. The existing frameworks include the IEC 61850 protocol and programmable logic controllers (PLCs) based supervisory control and data acquisition (SCADA) system. These protocols ha

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Gorbachev, V. A., I. A. Krivorotov, A. O. Markelov, and E. V. Kotlyarova. "Semantic segmentation of satellite images of airports using convolutional neural networks." Computer Optics 44, no. 4 (2020): 636–45. http://dx.doi.org/10.18287/2412-6179-co-636.

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The paper is devoted to the development of an effective semantic segmentation algorithm for automation of airport infrastructure labelling in RGB satellite images. This task is addressed using algorithms based on deep convolutional artificial neural networks, as they have proven themselves in a wide range of tasks, including the terrestrial imagery segmentation, where they show consistently high results. A new dataset was labelled for this particular task and a comparative analysis of different architectures and backbones was carried out. A conditional random field model (CRF) was used for pos

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Brandmeier, M., and Y. Chen. "LITHOLOGICAL CLASSIFICATION USING MULTI-SENSOR DATA AND CONVOLUTIONAL NEURAL NETWORKS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W16 (September 17, 2019): 55–59. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w16-55-2019.

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<p><strong>Abstract.</strong> Deep learning has been used successfully in computer vision problems, e.g. image classification, target detection and many more. We use deep learning in conjunction with ArcGIS to implement a model with advanced convolutional neural networks (CNN) for lithological mapping in the Mount Isa region (Australia). The area is ideal for spectral remote sensing as there is only sparse vegetation and besides freely available Sentinel-2 and ASTER data, several geophysical datasets are available from exploration campaigns. By fusing the data and thus coveri

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Dymora, Paweł, and Mirosław Mazurek. "Influence of Model and Traffic Pattern on Determining the Self-Similarity in IP Networks." Applied Sciences 11, no. 1 (2020): 190. http://dx.doi.org/10.3390/app11010190.

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This study aimed to determine the applicability of using selected libraries of computing environment R to establish the coefficient of self-similarity. R environment is an analytical environment with rich functionality that is used in many research and practical works concerning data analysis and knowledge discovery. Such an issue is significant in the context of contemporary wide area computer networks and the emerging type of network infrastructure IoT. This originates directly from the new nature of IoT traffic, which also has a substantial impact on Industry 4.0. It provides built-in opera

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S. Aldeen, Yousra Abdul Alsahib, and Haider Mohammed Abdulhadi. "Data communication for drone-enabled internet of things." Indonesian Journal of Electrical Engineering and Computer Science 22, no. 2 (2021): 1216. http://dx.doi.org/10.11591/ijeecs.v22.i2.pp1216-1222.

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<p><span>Internet of things (IoT) is one of the prominent emerged technology of interconnected devices for people convenient and smart services. Recent advancement in this area caused various new challenges especially deployment of infrastructure. In order to fulfill the network requirements, the dynamic and dedicated drone networks have designed as a cost effective and flexible solution. The technologies of IoT and drone are emerged to collect, forward the data for further process. Data communication among drones and IoT infrastructure is new area of research where various differe

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Hong, JiUn, Saad Arslan, TaeGeon Lee, and HyungWon Kim. "Design of Power-Efficient Training Accelerator for Convolution Neural Networks." Electronics 10, no. 7 (2021): 787. http://dx.doi.org/10.3390/electronics10070787.

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To realize deep learning techniques, a type of deep neural network (DNN) called a convolutional neural networks (CNN) is among the most widely used models aimed at image recognition applications. However, there is growing demand for light-weight and low-power neural network accelerators, not only for inference but also for training process. In this paper, we propose a training accelerator that provides low power and compact chip size targeted for mobile and edge computing applications. It accelerates to achieve the real-time processing of both inference and training using concurrent floating-p

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Alfaisaly, Noor Nateq, Suhad Qasim Naeem, and Azhar Hussein Neama. "Enhancement of WiMAX networks using OPNET modeler platform." Indonesian Journal of Electrical Engineering and Computer Science 23, no. 3 (2021): 1510. http://dx.doi.org/10.11591/ijeecs.v23.i3.pp1510-1519.

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Worldwide interoperability microwave access (WiMAX) is an 802.16 wireless standard that delivers high speed, provides a data rate of 100 Mbps and a coverage area of 50 km. Voice over internet protocol (VoIP) is flexible and offers low-cost telephony for clients over IP. However, there are still many challenges that must be addressed to provide a stable and good quality voice connection over the internet. The performance of various parameters such as multipath channel model and bandwidth over the Star trajectoryWiMAX network were evaluated under a scenario consisting of four cells. Each cell co

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Raju, V. Vijaya Rama, K. H. Phani Shree, and S. V. Jayarama Kumar. "Development of cost-effective phasor measurement unit for wide area monitoring system applications." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 6 (2021): 4731. http://dx.doi.org/10.11591/ijece.v11i6.pp4731-4739.

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<span>Sustained growth in the demand with unprecedented investments in the transmission infrastructure resulted in narrow operational margins for power system operators across the globe. As a result, power networks are operating near to stability limits. This has demanded the electrical utilities to explore new avenues for control and protection of wide area systems. Present supervisory control and data acquisition/energy management systems (SCADA/EMS) can only facilitate steady state model of the network, whereas synchrophasor measurements with GPS time stamp from wide area can provide

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Al-omari, Motea Saleh, Mohammad Ahmed Alomari, Abdul Rahman Ramli, Aduwati Sali, Raja Syamsul Azmir, and M. Hafiz Yusoff. "Effects of Femtocell Ultradense Deployment on Downlink Performance in LTE Heterogeneous Networks." Wireless Communications and Mobile Computing 2021 (September 9, 2021): 1–21. http://dx.doi.org/10.1155/2021/2735935.

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With huge number of smart gadgets and wireless devices being interconnected to each other, the demand for very high data bandwidth is becoming critically challenging. With such density of nodes inside wireless networks, providing high-quality service as well as wide coverage in indoor environment is a real challenge, which is due to the limited radio frequency and intense interference between nodes. As a one way to solve such problem and improve indoor service quality, femtocells have been introduced as an extension to the existing macrocell stations. Although femtocell is a promising technolo

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Choi and Yi. "Neighbor Discovery Optimization for Big Data Analysis in Low-Power, Low-Cost Communication Networks." Symmetry 11, no. 7 (2019): 836. http://dx.doi.org/10.3390/sym11070836.

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Big data analysis generally consists of the gathering and processing of raw data and producing meaningful information from this data. These days, large collections of sensors, smart phones, and electronic devices are all connected in the network. One of the primary features of these devices is low-power consumption and low cost. Power consumption is one of the important research concerns in low-power, low-cost communication networks such as sensor networks. A primary feature of sensor networks is a distributed and autonomous system. Therefore, all network devices in this type of network mainta

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Оrdabayeva G.К., Dzhusupbekova G.T., and Rakhymbek N. "DESIGN AND SIMULATION OF VIRTUAL LOCAL AREA NETWORK USING CISCO PACKET TRACER." BULLETIN 6, no. 388 (2020): 6–14. http://dx.doi.org/10.32014/2020.2518-1467.176.

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Modern local networks consist of several subscriber devices located inside the same building. Computers on the local network are interconnected using network equipment - switches. By default, all devices connected to the ports of the same switch can communicate by exchanging network packets. Computer networks of data transmission are the result of the information revolution and in the future will be able to form the main means of communication. The worldwide trend towards the integration of computers in the network is due to a number of important reasons, such as the acceleration of the transm

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CHEOK, ADRIAN DAVID, MAN FUNG HO, EVA YUSTINA, and SHANG PING LEE. "MOBILE COMPUTING WITH PERSONAL AREA NETWORK AND HUMAN POWER GENERATION." International Journal of Software Engineering and Knowledge Engineering 15, no. 02 (2005): 169–75. http://dx.doi.org/10.1142/s0218194005002348.

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For mobile computing system such as wearable computer, one of the most critical hardware issues is the provision of electric power. Various different sources of power for wearable computer have been investigated; however, we are interested only in power that can be generated in-situ, such as human power. This paper describes a novel mean of multiple source human power generation for small wearable electronic devices, and then demonstrates the digital information transfer between wearable computing devices by using human skin as "antenna". There are a wide range of peripheral devices in a mobil

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Kim, Hyeong-Jun, Min-Hee Choi, Mah-Ho Kim, and Suk Lee. "Development of an Ethernet-Based Heuristic Time-Sensitive Networking Scheduling Algorithm for Real-Time In-Vehicle Data Transmission." Electronics 10, no. 2 (2021): 157. http://dx.doi.org/10.3390/electronics10020157.

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The rapid development and adaptation of advanced driver assistance systems (ADAS) and autonomous driving increases the burden of in-vehicle networks. In-vehicle networks are now required to provide a fast data rate and bounded delay for real-time operation, while conventional protocols such as controller area networks, local interconnected networks, and FlexRay begin to show limitations. Ethernet-based time-sensitive network (TSN) technology has been proposed as an alternative. TSN is a set of Ethernet standards being developed by the IEEE TSN task group, which aims to satisfy requirements suc

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Song, Doohee, Moonbae Song, and Kwangjin Park. "A Privacy-Preserving Spatial Index for Spatial Query Processing." Wireless Communications and Mobile Computing 2018 (December 16, 2018): 1–9. http://dx.doi.org/10.1155/2018/2067047.

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An increasing amount of active research is being conducted to protect the locations of mobile device users. Users must tune to more data than they would like to in order to hide their location. In particular, if a user requests a query over kNN, the number of objects the user must receive may increase. Several studies have been proposed to solve these problems. However, problems have been identified during the course of query processing, such as errors and increased query processing times. When the tuning time is increased, the amount of data to download and the battery consumption of the clie

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Hegedüs, Ferenc, Péter Gáspár, and Tamás Bécsi. "Fast Motion Model of Road Vehicles with Artificial Neural Networks." Electronics 10, no. 8 (2021): 928. http://dx.doi.org/10.3390/electronics10080928.

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Nonlinear optimization-based motion planning algorithms have been successfully used for dynamically feasible trajectory planning of road vehicles. However, the main drawback of these methods is their significant computational effort and thus high runtime, which makes real-time application a complex problem. Addressing this field, this paper proposes an algorithm for fast simulation of road vehicle motion based on artificial neural networks that can be used in optimization-based trajectory planners. The neural networks are trained with supervised learning techniques to predict the future state

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Liao, Qing, Haoyu Tan, Wuman Luo, and Ye Ding. "Diverse Mobile System for Location-Based Mobile Data." Wireless Communications and Mobile Computing 2018 (August 1, 2018): 1–17. http://dx.doi.org/10.1155/2018/4217432.

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The value of large amount of location-based mobile data has received wide attention in many research fields including human behavior analysis, urban transportation planning, and various location-based services. Nowadays, both scientific and industrial communities are encouraged to collect as much location-based mobile data as possible, which brings two challenges: (1) how to efficiently process the queries of big location-based mobile data and (2) how to reduce the cost of storage services, because it is too expensive to store several exact data replicas for fault-tolerance. So far, several de

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Ayala-Ruiz, Daniel, Alejandro Castillo Atoche, Erica Ruiz-Ibarra, Edith Osorio de la Rosa, and Javier Vázquez Castillo. "A Self-Powered PMFC-Based Wireless Sensor Node for Smart City Applications." Wireless Communications and Mobile Computing 2019 (June 3, 2019): 1–10. http://dx.doi.org/10.1155/2019/8986302.

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Long power wide area networks (LPWAN) systems play an important role in monitoring environmental conditions for smart cities applications. With the development of Internet of Things (IoT), wireless sensor networks (WSN), and energy harvesting devices, ultra-low power sensor nodes (SNs) are able to collect and monitor the information for environmental protection, urban planning, and risk prevention. This paper presents a WSN of self-powered IoT SNs energetically autonomous using Plant Microbial Fuel Cells (PMFCs). An energy harvesting device has been adapted with the PMFC to enable a batteryles

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Al-Saeed, Yasmeen, Eman Eldaydamony, Ahmed Atwan, Mohammed Elmogy, and Osama Ouda. "Efficient Key Agreement Algorithm for Wireless Body Area Networks Using Reusable ECG-Based Features." Electronics 10, no. 4 (2021): 404. http://dx.doi.org/10.3390/electronics10040404.

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Wireless Body Area Networks (WBANs) are increasingly employed in different medical applications, such as remote health monitoring, early detection of medical conditions, and computer-assisted rehabilitation. A WBAN connects a number of sensor nodes implanted in and/or fixed on the human body for monitoring his/her physiological characteristics. Although medical healthcare systems could significantly benefit from the advancement of WBAN technology, collecting and transmitting private physiological data in such an open environment raises serious security and privacy concerns. In this paper, we p

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Miao, Yiming, Yuanwen Tian, Jingjing Cheng, M. Shamim Hossain, and Ahmed Ghoneim. "RADB: Random Access with Differentiated Barring for Latency-Constrained Applications in NB-IoT Network." Wireless Communications and Mobile Computing 2018 (2018): 1–9. http://dx.doi.org/10.1155/2018/6210408.

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With the development of LPWA (Low Power Wide Area) technology, the emerging NB-IoT (Narrowband Internet of Things) technology is becoming popular with wide area and low-data-rate services. In order to achieve objectives such as huge amount of connection and wide area coverage within NB-IoT, the problem of network congestion generated by random access of numerous devices should be solved. In this paper, we first introduce the background of NB-IoT and investigate the research on random access optimization algorithm. Then we summarize relevant features of NB-IoT uplink and narrowband physical ran

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Dean, Scott N., Lisa C. Shriver-Lake, David A. Stenger, Jeffrey S. Erickson, Joel P. Golden, and Scott A. Trammell. "Machine Learning Techniques for Chemical Identification Using Cyclic Square Wave Voltammetry." Sensors 19, no. 10 (2019): 2392. http://dx.doi.org/10.3390/s19102392.

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Electroanalytical techniques are useful for detection and identification because the instrumentation is simple and can support a wide variety of assays. One example is cyclic square wave voltammetry (CSWV), a practical detection technique for different classes of compounds including explosives, herbicides/pesticides, industrial compounds, and heavy metals. A key barrier to the widespread application of CSWV for chemical identification is the necessity of a high performance, generalizable classification algorithm. Here, machine and deep learning models were developed for classifying samples bas

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Vazquez-Olguin, Miguel, Yuriy S. Shmaliy, Oscar Ibarra-Manzano, and Sandra Marquez-Figueroa. "Distributed UFIR Filtering with Applications to Environmental Monitoring." International Journal of Circuits, Systems and Signal Processing 15 (April 12, 2021): 349–55. http://dx.doi.org/10.46300/9106.2021.15.38.

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Environmental monitoring requires an analysis of large and reliable amount of data collected through node stations distributed over a very wide area. Equipment used in such stations are often expensive that limits the amount of sensing stations to be deployed. The technology known as Wireless Sensor Networks (WNS) is a viable option to deliver low-cost sensor information. However, unpredictable issues such as interference from electromagnetic sources, damaged and unstable sensors and the landscape itself may cause the network to suffer from unstable links as well as missing and corrupted data.

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Dilli, Ravilla. "Performance analysis of multi user massive MIMO hybrid beamforming systems at millimeter wave frequency bands." Wireless Networks 27, no. 3 (2021): 1925–39. http://dx.doi.org/10.1007/s11276-021-02546-w.

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AbstractMillimeter-wave (mmWave) and massive multi-input–multi-output (mMIMO) communications are the most key enabling technologies for next generation wireless networks to have large available spectrum and throughput. mMIMO is a promising technique for increasing the spectral efficiency of wireless networks, by deploying large antenna arrays at the base station (BS) and perform coherent transceiver processing. Implementation of mMIMO systems at mmWave frequencies resolve the issue of high path-loss by providing higher antenna gains. The motivation for this research work is that mmWave and mMI

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Pires, Felipe Marques, Leonardo de Souza Mendes, and Lorena León Quiñonez. "Integrated system architecture for decision-making and urban planning in smart cities." International Journal of Distributed Sensor Networks 15, no. 8 (2019): 155014771986782. http://dx.doi.org/10.1177/1550147719867829.

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Research and development of applications for smart cities are extremely relevant considering the various problems that population growth will bring to large urban centers in the next few years. Although research on cyber-physical systems, cloud computing, embedded devices, sensor and actuator networks, and participatory sensing, among other paradigms, is driving the growth of solutions, there are a lot of challenges that need to be addressed. Based on these observations, in this work, we present an integrated system architecture for decision-making support and urban planning by introducing its

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Kaddoura, Sanaa, Ramzi A. Haraty, Karam Al Kontar, and Omar Alfandi. "A Parallelized Database Damage Assessment Approach after Cyberattack for Healthcare Systems." Future Internet 13, no. 4 (2021): 90. http://dx.doi.org/10.3390/fi13040090.

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In the current Internet of things era, all companies shifted from paper-based data to the electronic format. Although this shift increased the efficiency of data processing, it has security drawbacks. Healthcare databases are a precious target for attackers because they facilitate identity theft and cybercrime. This paper presents an approach for database damage assessment for healthcare systems. Inspired by the current behavior of COVID-19 infections, our approach views the damage assessment problem the same way. The malicious transactions will be viewed as if they are COVID-19 viruses, taken

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Vazquez-Olguin, Miguel, Yuriy S. Shmaliy, Oscar Ibarra- Manzano, and Sandra Marquez-Figueroa. "Distributed UFIR Filtering with Applications to Environmental Monitoring." WSEAS TRANSACTIONS ON SIGNAL PROCESSING 16 (February 19, 2021): 185–90. http://dx.doi.org/10.37394/232014.2020.16.20.

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Environmental monitoring requires an analysis of large and reliable amount of data collected through node stations distributed over a very wide area. Equipments used in such stations are often expensive that limits the amount of sensing stations to be deployed. The technology known as Wireless Sensor Networks (WNS) is a viable option to deliver low-cost sensor information. However, electromagnetic interference, damaged sensors, and the landscape itself often cause the network to suffer from faulty links as well as missing and corrupted data. Therefore robust estimators are required to mitigate

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Lakshmi, B., and A. S. Dhar. "CORDIC Architectures: A Survey." VLSI Design 2010 (March 31, 2010): 1–19. http://dx.doi.org/10.1155/2010/794891.

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In the last decade, CORDIC algorithm has drawn wide attention from academia and industry for various applications such as DSP, biomedical signal processing, software defined radio, neural networks, and MIMO systems to mention just a few. It is an iterative algorithm, requiring simple shift and addition operations, for hardware realization of basic elementary functions. Since CORDIC is used as a building block in various single chip solutions, the critical aspects to be considered are high speed, low power, and low area, for achieving reasonable overall performance. In this paper, we first clas

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So, Sunae, Trevon Badloe, Jaebum Noh, Jorge Bravo-Abad, and Junsuk Rho. "Deep learning enabled inverse design in nanophotonics." Nanophotonics 9, no. 5 (2020): 1041–57. http://dx.doi.org/10.1515/nanoph-2019-0474.

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AbstractDeep learning has become the dominant approach in artificial intelligence to solve complex data-driven problems. Originally applied almost exclusively in computer-science areas such as image analysis and nature language processing, deep learning has rapidly entered a wide variety of scientific fields including physics, chemistry and material science. Very recently, deep neural networks have been introduced in the field of nanophotonics as a powerful way of obtaining the nonlinear mapping between the topology and composition of arbitrary nanophotonic structures and their associated func

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Oh, Soon-Soo, Jae-Won Choi, Dong-Woo Kim, Young-Chul Lee, and Byung-Lok Cho. "Comparison of 0.75–24-GHz Reach Distances and Ratios Using Propagation Path Loss Measurements from Urban and Rural Line-of-Sight Environments." Journal of Electromagnetic Engineering and Science 21, no. 1 (2021): 1–7. http://dx.doi.org/10.26866/jees.2021.21.1.1.

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In this paper, we present experimental transmittance data at 0.75, 1, 2, 3, 4.5, 6, 10, 18, and 24 GHz from urban and rural environments. All measurements were performed under line-of-sight (LoS) conditions. Reach distances were extracted using the multifrequency alpha-beta- gamma model. Normalized individual and combined ratios were plotted against the frequencies and compared between the two environments. Although our data were obtained under LoS conditions, they can be used to predict the service area over a wide frequency range and establish a public policy for mobile communications.

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Ugwuanyi, Stephen, Greig Paul, and James Irvine. "Survey of IoT for Developing Countries: Performance Analysis of LoRaWAN and Cellular NB-IoT Networks." Electronics 10, no. 18 (2021): 2224. http://dx.doi.org/10.3390/electronics10182224.

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Recently, Internet of Things (IoT) deployments have shown their potential for aiding the realisation of the Sustainable Development Goals (SDGs). Concerns regarding how the IoT can specifically drive SDGs 6, 11 and 9 in developing countries have been raised with respect to the challenges of deploying licensed and unlicensed low-power wide area network (LPWAN) IoT technologies and their opportunities for IoT consumers and service providers. With IoT infrastructure and protocols being ubiquitous and each being proposed for different SDGs, we review and compare the various performance characteris

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Asch, M., T. Moore, R. Badia, et al. "Big data and extreme-scale computing." International Journal of High Performance Computing Applications 32, no. 4 (2018): 435–79. http://dx.doi.org/10.1177/1094342018778123.

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Over the past four years, the Big Data and Exascale Computing (BDEC) project organized a series of five international workshops that aimed to explore the ways in which the new forms of data-centric discovery introduced by the ongoing revolution in high-end data analysis (HDA) might be integrated with the established, simulation-centric paradigm of the high-performance computing (HPC) community. Based on those meetings, we argue that the rapid proliferation of digital data generators, the unprecedented growth in the volume and diversity of the data they generate, and the intense evolution of th

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Wu, Hao, Qinggeng Jin, Chenghua Zhang, and He Guo. "A Selective Mirrored Task Based Fault Tolerance Mechanism for Big Data Application Using Cloud." Wireless Communications and Mobile Computing 2019 (February 26, 2019): 1–12. http://dx.doi.org/10.1155/2019/4807502.

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With the wide deployment of cloud computing in big data processing and the growing scale of big data application, managing reliability of resources becomes a critical issue. Unfortunately, due to the highly intricate directed-acyclic-graph (DAG) based application and the flexible usage of processors (virtual machines) in cloud platform, the existing fault tolerant approaches are inefficient to strike a balance between the parallelism and the topology of the DAG-based application while using the processors, which causes a longer makespan for an application and consumes more processor time (comp

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Chappa, Hemanthakumar, and Tripta Thakur. "A Fast Online Voltage Instability Detection in Power Transmission System Using Wide-Area Measurements." Iranian Journal of Science and Technology, Transactions of Electrical Engineering 43, S1 (2018): 427–38. http://dx.doi.org/10.1007/s40998-018-0120-2.

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Tan, Rong, Yuan Tao, Wen Si, and Yuan-Yuan Zhang. "Privacy preserving semantic trajectory data publishing for mobile location-based services." Wireless Networks 26, no. 8 (2019): 5551–60. http://dx.doi.org/10.1007/s11276-019-02058-8.

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Abstract The development of wireless technologies and the popularity of mobile devices is responsible for generating large amounts of trajectory data for moving objects. Trajectory datasets have spatiotemporal features and are a rich information source. The mining of trajectory data can reveal interesting patterns of human activities and behaviors. However, trajectory data can also be exploited to disclose users’ privacy information, e.g., the places they live and work, which could be abused by a malicious user. Therefore, it is very important to protect the users’ privacy before publishing an

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Iqbal, Muhammad Munwar, Muhammad Ali, Mai Alfawair, et al. "Augmenting High-Performance Mobile Cloud Computations for Big Data in AMBER." Wireless Communications and Mobile Computing 2018 (2018): 1–12. http://dx.doi.org/10.1155/2018/4796535.

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Big data is an inspirational area of research that involves best practices used in the industry and academia. Challenging and complex systems are the core requirements for the data collation and analysis of big data. Data analysis approaches and algorithms development are the necessary and essential components of the big data analytics. Big data and high-performance computing emergent nature help to solve complex and challenging problems. High-Performance Mobile Cloud Computing (HPMCC) technology contributes to the execution of the intensive computational application at any location independen

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