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Journal articles on the topic 'Distributed Selection Schemes'

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Published: 6 September 2023

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1

WEI, DAVID S. L., SANGUTHEVAR RAJASEKARAN, KSHIRASAGAR NAIK, and SY-YEN KUO. "EFFICIENT ALGORITHMS FOR SELECTION AND SORTING OF LARGE DISTRIBUTED FILES ON DE BRUIJN AND HYPERCUBE STRUCTURES." International Journal of Foundations of Computer Science 14, no. 06 (2003): 1129–46. http://dx.doi.org/10.1142/s0129054103002229.

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In this paper we show the power of sampling techniques in designing efficient distributed algorithms. In particular, we apply sampling techniques in the design of selection algorithms on the hypercube and de Bruijn networks, and show that the message complexity of selecting an item from a set (file) is less sensitive to the cardinality of the set (file). Given a file with n keys, our algorithm performs a selection on a p-node de Bruijn network or hypercube using only O(p log log n) messages and suffering a delay of O(τ log p log log n), with high probability. Our selection scheme outperforms t

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Zhang, Yang, Wei Wang, Xiangmo Zhao, and Jun Hou. "Distributed Antenna-and-Relay Selection Schemes for MIMO Cooperative Relay Network." Wireless Communications and Mobile Computing 2022 (July 13, 2022): 1–12. http://dx.doi.org/10.1155/2022/8729079.

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Relay selection, antenna selection, and link selection are three potent means to enrich network capacity in MIMO relaying networks. To reduce feedback overhead, in this paper, three distributed antenna-and-relay selection schemes are proposed for AF multiple-relay network, which is equipped with multiple antennas at nodes. Closed-form formulations of system outage probability are derived for these schemes, as well as the lower bounds and upper bounds. Furthermore, the approximate expressions of outage probability at high SNR regime are also derived, showing that the proposed optimal strategy c

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Wen, Yong-Kui, and Li-Min Sun. "Distributed ATMD for Buffeting Control of Cable-Stayed Bridges Under Construction." International Journal of Structural Stability and Dynamics 15, no. 03 (2015): 1450054. http://dx.doi.org/10.1142/s0219455414500540.

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This paper is concerned with mitigating multimode buffeting of cable-stayed bridges by optimizing the placements of active tuned mass dampers (ATMDs) and sensors and developing a control model and schemes. The Third Nanjing Bridge over the Yangtze River was used to formulate a mathematical control model with distributed ATMDs under wind action. Hankel norms were combined with structural mode analysis to build placement indices of the ATMDs and sensors under a defined objective while considering the influence of exterior excitation. A selection index of modes was proposed. ATMD/sensor placement

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Etezadi, Farrokh, Keyvan Zarifi, Ali Ghrayeb, and Sofiene Affes. "Decentralized Relay Selection Schemes in Uniformly Distributed Wireless Sensor Networks." IEEE Transactions on Wireless Communications 11, no. 3 (2012): 938–51. http://dx.doi.org/10.1109/twc.2012.010312.101314.

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Salama, Ahmed M., Islam Samy, Ahmed El Shafie, Amr Mohamed, and Tamer Khattab. "Centralized and Distributed Cognitive Relay-Selection Schemes for SWIPT Cognitive Networks." IEEE Transactions on Communications 67, no. 11 (2019): 7431–43. http://dx.doi.org/10.1109/tcomm.2019.2936562.

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Lee, Jaehwan, Hyeonseong Choi, Hyeonwoo Jeong, Baekhyeon Noh, and Ji Sun Shin. "Communication Optimization Schemes for Accelerating Distributed Deep Learning Systems." Applied Sciences 10, no. 24 (2020): 8846. http://dx.doi.org/10.3390/app10248846.

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In a distributed deep learning system, a parameter server and workers must communicate to exchange gradients and parameters, and the communication cost increases as the number of workers increases. This paper presents a communication data optimization scheme to mitigate the decrease in throughput due to communication performance bottlenecks in distributed deep learning. To optimize communication, we propose two methods. The first is a layer dropping scheme to reduce communication data. The layer dropping scheme we propose compares the representative values of each hidden layer with a threshold

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Park, Jinho, and Kwangsue Chung. "Distributed DRL-Based Computation Offloading Scheme for Improving QoE in Edge Computing Environments." Sensors 23, no. 8 (2023): 4166. http://dx.doi.org/10.3390/s23084166.

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Various edge collaboration schemes that rely on reinforcement learning (RL) have been proposed to improve the quality of experience (QoE). Deep RL (DRL) maximizes cumulative rewards through large-scale exploration and exploitation. However, the existing DRL schemes do not consider the temporal states using a fully connected layer. Moreover, they learn the offloading policy regardless of the importance of experience. They also do not learn enough because of their limited experiences in distributed environments. To solve these problems, we proposed a distributed DRL-based computation offloading

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Ge, L., G. J. Chen, and J. A. Chambers. "Relay Selection in Distributed Transmission Based on the Golden Code Using ML and Sphere Decoding in Wireless Networks." International Journal of Information Technology and Web Engineering 6, no. 4 (2011): 63–75. http://dx.doi.org/10.4018/jitwe.2011100105.

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The implementation of cooperative diversity with relays has advantages over point-to-point multiple-input multiple-output (MIMO) systems, in particular, overcoming correlated paths due to small inter-element spacing. A simple transmitter with one antenna may exploit cooperative diversity or space time coding gain through distributed relays. In this paper, similar distributed transmission is considered with the golden code, and the authors propose a new strategy for relay selection, called the maximum-mean selection policy, for distributed transmission with the full maximum-likelihood (ML) deco

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Ma, Bo, Jianhua Ge, Weiliang Han, and Jing Li. "Auction-Based Pricing Schemes for Distributed Partner Selection in Cooperative Wireless Networks." Wireless Personal Communications 96, no. 1 (2017): 265–90. http://dx.doi.org/10.1007/s11277-017-4166-7.

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10

Wei, David S. L., Sanguthevar Rajasekaran, Z. Cheng, K. Naik, and Sy-Yen Kuo. "Efficient Selection and Sorting Schemes Using Coteries for Processing Large Distributed Files." Journal of Parallel and Distributed Computing 62, no. 8 (2002): 1295–313. http://dx.doi.org/10.1006/jpdc.2002.1861.

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11

Abdulhadi, S., M. Jaseemuddin, and A. Anpalagan. "A Survey of Distributed Relay Selection Schemes in Cooperative Wireless Ad hoc Networks." Wireless Personal Communications 63, no. 4 (2010): 917–35. http://dx.doi.org/10.1007/s11277-010-0174-6.

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12

Ding, Haiyang, Jianhua Ge, Daniel Benevides da Costa, and Zhuoqin Jiang. "Link Selection Schemes for Selection Relaying Systems With Transmit Beamforming: New and Efficient Proposals From a Distributed Concept." IEEE Transactions on Vehicular Technology 61, no. 2 (2012): 533–52. http://dx.doi.org/10.1109/tvt.2011.2178871.

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13

Yang, Wen, and Hongbo Shi. "Sensor selection schemes for consensus based distributed estimation over energy constrained wireless sensor networks." Neurocomputing 87 (June 2012): 132–37. http://dx.doi.org/10.1016/j.neucom.2012.02.011.

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14

Song, Xiyu, Nae Zheng, and Ting Bai. "Resource Allocation Schemes for Multiple Targets Tracking in Distributed MIMO Radar Systems." International Journal of Antennas and Propagation 2017 (2017): 1–12. http://dx.doi.org/10.1155/2017/7241281.

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Considering the demands of different location accuracy for multiple targets tracking, performance-driven resource allocation schemes in distributed MIMO radar system are proposed. Restricted by the tracking antenna number, location estimation mean-square error (MSE), and target priorities, an optimization problem of the minimal antenna subsets selection is modeled as a knapsack problem. Then, two operational schemes, modified fair multistart local search (MFMLS) algorithm and modified fair multistart local search with one antenna to all targets (MFMLS_OAT) algorithm, are presented and evaluate

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Sultan, Kiran, Ijaz Mansoor Qureshi, Aqdas Naveed Malik, and Muhammad Zubair. "Performance Analysis of Relay Subset Selection for Amplify-and-Forward Cognitive Relay Networks." Scientific World Journal 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/548082.

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Cooperative communication is regarded as a key technology in wireless networks, including cognitive radio networks (CRNs), which increases the diversity order of the signal to combat the unfavorable effects of the fading channels, by allowing distributed terminals to collaborate through sophisticated signal processing. Underlay CRNs have strict interference constraints towards the secondary users (SUs) active in the frequency band of the primary users (PUs), which limits their transmit power and their coverage area. Relay selection offers a potential solution to the challenges faced by underla

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Ouyang, Yu Hua, and Xiang Dong Jia. "Study on the Nth Best Relay Selection over Nakagami-m Fading Channels." Applied Mechanics and Materials 347-350 (August 2013): 1561–65. http://dx.doi.org/10.4028/www.scientific.net/amm.347-350.1561.

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We study the Nth best relay selection schemes over independent and non-identically distributed (i.ni.d) Nakagami-m fading channels. For such opportunistic relaying schemes, we first obtain the closed-form expressions to the probability density function (PDF) and cumulative distribution function (CDF) of the instantaneous end-to-end signal-to-noise ratio (SNR). Then, with the obtained CDF and PDF, three main measurements are investigated, i.e., outage probability, average symbol error ratio (SER), and ergodic capacity. The numerical results show that the simulations match derivations exactly.

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Asad, Muhammad, Saima Shaukat, Dou Hu, et al. "Limitations and Future Aspects of Communication Costs in Federated Learning: A Survey." Sensors 23, no. 17 (2023): 7358. http://dx.doi.org/10.3390/s23177358.

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This paper explores the potential for communication-efficient federated learning (FL) in modern distributed systems. FL is an emerging distributed machine learning technique that allows for the distributed training of a single machine learning model across multiple geographically distributed clients. This paper surveys the various approaches to communication-efficient FL, including model updates, compression techniques, resource management for the edge and cloud, and client selection. We also review the various optimization techniques associated with communication-efficient FL, such as compres

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Hussain, Arif, Chul-Hwan Kim, and Arif Mehdi. "A Comprehensive Review of Intelligent Islanding Schemes and Feature Selection Techniques for Distributed Generation System." IEEE Access 9 (2021): 146603–24. http://dx.doi.org/10.1109/access.2021.3123382.

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Kim, Seong-Cheol, Papia Ray, and Surender Reddy Salkuti. "Islanding detection in a distribution network with distributed generators using signal processing techniques." International Journal of Power Electronics and Drive Systems (IJPEDS) 11, no. 4 (2020): 2099. http://dx.doi.org/10.11591/ijpeds.v11.i4.pp2099-2106.

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This paper proposes quick &amp; accurate islanding detection technique for a distribution system with distributed generators (DGs). Here two schemes of islanding detection based on signal processing is proposed of which one is based on discrete wavelet transform (DWT) with artificial neural network (ANN), and another one is based on S-transform with ANN. The negative sequence current/voltage signals are retrieved at targeted DG location which are used for islanding detection in the distribution system. Here, the wavelet and S-transforms are used for fault location and classification applic

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Xie, Xueqing, and Ming He. "Smart City Facility Location Recommendation Algorithm Using Multimedia Data and Improved Generative Adversarial Networks." International Journal of Intelligent Systems 2023 (July 15, 2023): 1–13. http://dx.doi.org/10.1155/2023/6664219.

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Internet of Things, low energy consumption, and intelligent and functionally integrated urban infrastructure construction are crucial elements in the development of smart cities. Distributed generation (DG) and electric vehicle charging infrastructure play a vital role in the planning and construction of smart cities. However, the uncertainty associated with the power output of distributed generation significantly impacts the planning of distribution networks. To address this issue, this paper proposes a site-selection recommendation algorithm that leverages urban multimedia data and improved

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KIRKPATRICK, MARK, and THOMAS BATAILLON. "Artificial selection on phenotypically plastic traits." Genetical Research 74, no. 3 (1999): 265–70. http://dx.doi.org/10.1017/s0016672399004115.

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Many phenotypes respond physiologically or developmentally to continuously distributed environmental variables such as temperature and nutritional quality. Information about phenotypic plasticity can be used to improve the efficiency of artificial selection. Here we show that the quantitative genetic theory for ‘infinite-dimensional’ traits such as reaction norms provides a natural framework to accomplish this goal. It is expected to improve selection responses by making more efficient use of information about environmental effects than do conventional methods. The approach is illustrated by d

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Hu, Zhuhua, Yong Bai, Mengxing Huang, Mingshan Xie, and Yaochi Zhao. "A Self-Adaptive Progressive Support Selection Scheme for Collaborative Wideband Spectrum Sensing." Sensors 18, no. 9 (2018): 3011. http://dx.doi.org/10.3390/s18093011.

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The sampling rate of wideband spectrum sensing for sparse signals can be reduced by sub-Nyquist sampling with a Modulated Wideband Converter (MWC). In collaborative spectrum sensing, the fusion center recovers the spectral support from observation and measurement matrices reported by a network of CRs, to improve the precision of spectrum sensing. However, the MWC has a very high hardware complexity due to its parallel structure; it sets a fixed threshold for a decision without considering the impact of noise intensity, and needs a priori information of signal sparsity order for signal support

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Yang, Ping, Weichao Kuang, and Shanjin Wang. "Relay Selection for Dual-Hop Cooperative Ambient Backscatter Communication Systems." Sensors 23, no. 13 (2023): 5791. http://dx.doi.org/10.3390/s23135791.

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Previous works only focus on the optimization design for the dual-hop cooperative ambient backscatter communication (AmBC) system with single-relay selection. The impact of relay selection on the outage performance of dual-hop cooperative AmBC systems is still missing. Motivated by this, in this paper, we investigate the outage performance of a dual-hop cooperative AmBC system with single-relay selection, where the backscatter link shares the receiver with the cellular link and the harmful direct-link interference (DLI) is mitigated by using successive interference cancellation (SIC). In the s

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24

Mingaleeva, Guzel, Olga Afanaseva, Duc Toan Nguen, Dang Nayt Pham, and Pietro Zunino. "The Integration of Hybrid Mini Thermal Power Plants into the Energy Complex of the Republic of Vietnam." Energies 13, no. 21 (2020): 5848. http://dx.doi.org/10.3390/en13215848.

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The article describes a method of integrating small distributed generation components in the power system of the Republic of Vietnam. The features of the energy system of Vietnam and the technologies used for mini thermal power plants are considered. The classification of small distributed generation components is presented with implantation of the most used resources of Vietnam—fossil and renewable. A generalized methodology for selection and calculation of technological schemes for mini thermal power plants is considered. The schemes of steam-turbine mini thermal power plants operating with

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25

Kharel, Binod, Onel Luis Alcaraz López, Hirley Alves, and Matti Latva-aho. "Ultra-Reliable Communication for Critical Machine Type Communication via CRAN-Enabled Multi-Connectivity Diversity Schemes." Sensors 21, no. 23 (2021): 8064. http://dx.doi.org/10.3390/s21238064.

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This paper focuses on edge-enabled cloud radio access network architecture to achieve ultra-reliable communication, a crucial enabler for supporting mission-critical machine-type communication networks. We propose coordinated multi-point transmission schemes taking advantage of diversity mechanisms in interference-limited downlink cellular networks. The network scenario comprises spatially distributed multiple remote radio heads (RRHs) that may cooperate through silencing, or by using more elaborated diversity strategies such as maximum ratio transmission or transmit antenna selection to serve

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Alexandropoulos, George C., Agisilaos Papadogiannis, and Paschalis C. Sofotasios. "A Comparative Study of Relaying Schemes with Decode and Forward over Nakagami- Fading Channels." Journal of Computer Networks and Communications 2011 (2011): 1–14. http://dx.doi.org/10.1155/2011/560528.

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Although relaying can be very beneficial for wireless systems, understanding which relaying schemes can achieve specific performance objectives under realistic fading is crucial. In this paper we present a general framework for modeling and evaluating the performance of dual-hop decode-and-forward (DF) relaying schemes over independent and not necessarily identically distributed (INID) Nakagami- fading channels. We obtain closed-form expressions for the statistics of the instantaneous output signal-to-noise ratio of repetitive transmission with selection diversity. Furthermore, we present a un

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Zafar, Faheem, Abid Khan, Saif Ur Rehman Malik, Mansoor Ahmed, Carsten Maple, and Adeel Anjum. "MobChain: Three-Way Collusion Resistance in Witness-Oriented Location Proof Systems Using Distributed Consensus." Sensors 21, no. 15 (2021): 5096. http://dx.doi.org/10.3390/s21155096.

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Smart devices have accentuated the importance of geolocation information. Geolocation identification using smart devices has paved the path for incentive-based location-based services (LBS). However, a user’s full control over a smart device can allow tampering of the location proof. Witness-oriented location proof systems (LPS) have emerged to resist the generation of false proofs and mitigate collusion attacks. However, witness-oriented LPS are still susceptible to three-way collusion attacks (involving the user, location authority, and the witness). To overcome the threat of three-way collu

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Lijuan, Zhang, and Li Zhangming. "Optimal selection of design schemes for a sparse distributed pile foundation based on fuzzy optimization theory." Kybernetes 38, no. 10 (2009): 1828–34. http://dx.doi.org/10.1108/03684920910994358.

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29

Rehman, Waheed ur, Tabinda Salam, Jin Xu, and Xiaofeng Tao. "Capacity Enhancement in 60 GHz Based D2D Networks by Relay Selection and Scheduling." International Journal of Antennas and Propagation 2015 (2015): 1–15. http://dx.doi.org/10.1155/2015/205163.

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Millimeter-wave or 60 GHz communication is a promising technology that enables data rates in multigigabits. However, its tremendous propagation loss and signal blockage may severely affect the network throughput. In current data-centric device-to-device (D2D) communication networks, the devices with intended data communications usually lay in close proximity, unlike the case in voice-centric networks. So the network can be visualized as a naturally formed groups of devices. In this paper, we jointly consider resource scheduling and relay selection to improve network capacity in 60 GHz based D2

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Son, A.-Young, and Eui-Nam Huh. "Multi-Objective Service Placement Scheme Based on Fuzzy-AHP System for Distributed Cloud Computing." Applied Sciences 9, no. 17 (2019): 3550. http://dx.doi.org/10.3390/app9173550.

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With the rapid increase in the development of the cloud data centers, it is expected that massive data will be generated, which will decrease service response time for the cloud data centers. To improve the service response time, distributed cloud computing has been designed and researched for placement and migration from mobile devices close to edge servers that have secure resource computing. However, most of the related studies did not provide sufficient service efficiency for multi-objective factors such as energy efficiency, resource efficiency, and performance improvement. In addition, m

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31

Kim, Jung-Bin, and In-Ho Lee. "Outage Analysis of Partial Relay Selection Schemes with Feedback Delay and Channel Estimation Errors in Nonidentical Rayleigh Fading Channels." International Journal of Antennas and Propagation 2017 (2017): 1–9. http://dx.doi.org/10.1155/2017/1862391.

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This paper investigates the impact of the channel estimation error and outdated channel state information (CSI) on the outage performances of partial relay selection (PRS) and efficient partial relay selection (EPRS). Considering imperfect channel estimation and outdated CSI with decode-and-forward (DF) relaying strategy, closed-form expressions for exact outage probabilities and asymptotic outage probabilities for PRS and EPRS are provided assuming independent and nonidentically distributed Rayleigh fading channels. Numerical investigations verify the analytical expression for outage probabil

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Shrivastava, Aayush, Abhishek Sharma, Manjaree Pandit, Vibhu Jately, and Brian Azzopardi. "Hybrid Protection Scheme Based Optimal Overcurrent Relay Coordination Strategy for RE Integrated Power Distribution Grid." Energies 14, no. 21 (2021): 7192. http://dx.doi.org/10.3390/en14217192.

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A directional overcurrent relay is commonly used to protect the power distribution networks of a distributed system. The selection of the appropriate settings for the relays is an important component of the protection strategies used to isolate the faulty parts of the system. The rapid growth of distributed generation (DG) systems present new challenges to these protection schemes. The effect of solar photovoltaic power plants on relay coordination is studied initially in this research work. A protection strategy was formulated to guarantee that the increased penetration of solar photovoltaic

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33

Pan, Zhong Liang, and Ling Chen. "Test Scheduling Method Based on Cellular Genetic Algorithm for System on Chip." Materials Science Forum 663-665 (November 2010): 670–73. http://dx.doi.org/10.4028/www.scientific.net/msf.663-665.670.

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The main aspects for the test of system on chip (SoC) are designing testability architectures and solving the test scheduling. The test time of SoC can be reduced by using good test scheduling schemes. A test scheduling method based on cellular genetic algorithm is presented in this paper. In the method, the individuals are used to represent the feasible solutions of the test scheduling problem, the individuals are distributed over a grid or connected graph, the genetic operations such as selection and mutation are applied locally in some neighborhood of each individual. The test scheduling sc

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Wahid, Ishtiaq, Ata Ul Aziz Ikram, Masood Ahmad, and Fasee Ullah. "An improved supervisory protocol for automatic selection of routing protocols in environment-aware vehicular ad hoc networks." International Journal of Distributed Sensor Networks 14, no. 11 (2018): 155014771881505. http://dx.doi.org/10.1177/1550147718815051.

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With resource constraint’s distributed architecture and dynamic topology, network issues such as congestion, latency, power awareness, mobility, and other quality of service issues need to be addressed by optimizing the routing protocols. As a result, a number of routing protocols have been proposed. Routing protocols have trade-offs in performance parameters and their performance varies with the underlying mobility model. For designing an improved vehicular ad hoc network, three components of the network are to be focused: routing protocols, mobility models, and performance metrics. This arti

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Chen, Yi, Narjol Gonzalez-Escalona, Thomas S. Hammack, Marc W. Allard, Errol A. Strain, and Eric W. Brown. "Core Genome Multilocus Sequence Typing for Identification of Globally Distributed Clonal Groups and Differentiation of Outbreak Strains of Listeria monocytogenes." Applied and Environmental Microbiology 82, no. 20 (2016): 6258–72. http://dx.doi.org/10.1128/aem.01532-16.

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ABSTRACTMany listeriosis outbreaks are caused by a few globally distributed clonal groups, designated clonal complexes or epidemic clones, ofListeria monocytogenes, several of which have been defined by classic multilocus sequence typing (MLST) schemes targeting 6 to 8 housekeeping or virulence genes. We have developed and evaluated core genome MLST (cgMLST) schemes and applied them to isolates from multiple clonal groups, including those associated with 39 listeriosis outbreaks. The cgMLST clusters were congruent with MLST-defined clonal groups, which had various degrees of diversity at the w

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Cameron, N. D., and R. Thompson. "Design of multivariate selection experiments to estimate genetic parameters." Proceedings of the British Society of Animal Production (1972) 1986 (March 1986): 26. http://dx.doi.org/10.1017/s0308229600015373.

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Precise, unbiased estimates of genetic parameters, such as heritability and genetic covariance, are necessary to optimise breeding programs and to predict rates of change for various selection schemes. A classical method of estimation is to use high and low selection experiments. We consider two generation selection experiments when observations in the parental generation are only taken on one sex, resulting in half-sib family information. We consider cases of two standardised traits, with zero mean and unit variance, and assume that the traits are normally distributed. The genetic and phenoty

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LÓPEZ-JAMAR, JUAN, FABIÁN CASAS, MARIO DÍAZ, and MANUEL B. MORALES. "Local differences in habitat selection by Great Bustards Otis tarda in changing agricultural landscapes: implications for farmland bird conservation." Bird Conservation International 21, no. 3 (2010): 328–41. http://dx.doi.org/10.1017/s0959270910000535.

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SummaryLocal changes in land use can influence patterns of habitat selection by farmland birds, thus biasing predictions of population responses to land use changes based on wildlife-habitat or niche modelling. This study, based in arable farmland in south-central Spain, determined whether habitat selection (use of agricultural habitats and the distance to roads, tracks and buildings) by Great Bustards Otis tarda varied between two nearby areas with differing land uses. The western sector has experienced a process of land abandonment and infrastructure development linked to an airport project

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Taneja, Ashu, Ali Alqahtani, Nitin Saluja, and Nayef Alqahtani. "Robust Resource Control Based on AP Selection in 6G-Enabled IoT Networks." Sensors 23, no. 15 (2023): 6788. http://dx.doi.org/10.3390/s23156788.

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The diverse application vertices of internet-of-things (IoT) including internet of vehicles (IoV), industrial IoT (IIoT) and internet of drones things (IoDT) involve intelligent communication between the massive number of objects around us. This digital transformation strives for seamless data flow, uninterrupted communication capabilities, low latency and ultra-high reliability. The limited capabilities of fifth generation (5G) technology have given way to sixth generation (6G) wireless technology. This paper presents a dynamic cell-free framework for a 6G-enabled IoT network. A number of acc

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Afolabi, Adedeji Olushola, Adedapo Oluwatayo, Opeyemi Oyeyipo, Rapheal Ojelabi, and Olabosipo Fagbenle. "Assessment of Designers’ Perception of Post Conflict Housing Schemes for Internally Displaced Persons." Construction Economics and Building 18, no. 1 (2018): 27–47. http://dx.doi.org/10.5130/ajceb.v18i1.5780.

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With millions of internally displaced persons (IDPs) around the world, there is need to implement durable housing solutions post-conflict, that involves sustainable integration and sustainable reintegration using long term shelter programmes in the rural and urban areas. The study aims to assess designers’ assessment of post conflict housing schemes (PCHS) for internally displaced persons. Using a cross-sectional survey, the study utilized a questionnaire instrument distributed to one hundred (100) design professionals that have cognate field experience in the design, construction and manageme

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Yeo, Sangho, Ye Naing, Taeha Kim, and Sangyoon Oh. "Achieving Balanced Load Distribution with Reinforcement Learning-Based Switch Migration in Distributed SDN Controllers." Electronics 10, no. 2 (2021): 162. http://dx.doi.org/10.3390/electronics10020162.

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Distributed controllers in software-defined networking (SDN) become a promising approach because of their scalable and reliable deployments in current SDN environments. Since the network traffic varies with time and space, a static mapping between switches and controllers causes uneven load distribution among controllers. Dynamic migration of switches methods can provide a balanced load distribution between SDN controllers. Recently, existing reinforcement learning (RL) methods for dynamic switch migration such as MARVEL are modeling the load balancing of each controller as linear optimization

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Ustun, Taha Selim, and Saqib Ayyubi. "Automated Network Topology Extraction Based on Graph Theory for Distributed Microgrid Protection in Dynamic Power Systems." Electronics 8, no. 6 (2019): 655. http://dx.doi.org/10.3390/electronics8060655.

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Unlike conventional grids, microgrids may utilize different connections and the overall topology can be variable. Considering this, it is required to develop a new protection concept/scheme for safe operation. Maintaining proper selective operation of the relays in these dynamic microgrid structures is a challenge itself. This requires monitoring the connections and updating time delays of the relays which will ensure the desired hierarchy in the system. In this paper, a novel approach has been taken where electrical networks are modeled according to graph theory. Smart algorithms, such as net

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Castro-Jul, Fátima, Rebeca Díaz-Redondo, Ana Fernández-Vilas, Sophie Chabridon, and Denis Conan. "Fog Architectures and Sensor Location Certification in Distributed Event-Based Systems." Sensors 19, no. 1 (2018): 104. http://dx.doi.org/10.3390/s19010104.

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Since smart cities aim at becoming self-monitoring and self-response systems, their deployment relies on close resource monitoring through large-scale urban sensing. The subsequent gathering of massive amounts of data makes essential the development of event-filtering mechanisms that enable the selection of what is relevant and trustworthy. Due to the rise of mobile event producers, location information has become a valuable filtering criterion, as it not only offers extra information on the described event, but also enhances trust in the producer. Implementing mechanisms that validate the qua

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Yu, Liang, Qixin Guo, Rui Wang, Minyan Shi, Fucheng Yan, and Ran Wang. "Dynamic Offloading Loading Optimization in Distributed Fault Diagnosis System with Deep Reinforcement Learning Approach." Applied Sciences 13, no. 7 (2023): 4096. http://dx.doi.org/10.3390/app13074096.

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Artificial intelligence and distributed algorithms have been widely used in mechanical fault diagnosis with the explosive growth of diagnostic data. A novel intelligent fault diagnosis system framework that allows intelligent terminals to offload computational tasks to Mobile edge computing (MEC) servers is provided in this paper, which can effectively address the problems of task processing delays and enhanced computational complexity. As the resources at the MEC and intelligent terminals are limited, performing reasonable resource allocation optimization can improve the performance, especial

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Mollahasani, Shahram, Turgay Pamuklu, Rodney Wilson, and Melike Erol-Kantarci. "Energy-Aware Dynamic DU Selection and NF Relocation in O-RAN Using Actor–Critic Learning." Sensors 22, no. 13 (2022): 5029. http://dx.doi.org/10.3390/s22135029.

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Open radio access network (O-RAN) is one of the promising candidates for fulfilling flexible and cost-effective goals by considering openness and intelligence in its architecture. In the O-RAN architecture, a central unit (O-CU) and a distributed unit (O-DU) are virtualized and executed on processing pools of general-purpose processors that can be placed at different locations. Therefore, it is challenging to choose a proper location for executing network functions (NFs) over these entities by considering propagation delay and computational capacity. In this paper, we propose a Soft Actor–Crit

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Bhargavi, K., and Sajjan G. Shiva. "Fuzzy Neutrosophic Soft Set Based Transfer-Q-Learning Scheme for Load Balancing in Uncertain Grid Computing Environments." Cybernetics and Information Technologies 22, no. 4 (2022): 35–55. http://dx.doi.org/10.2478/cait-2022-0038.

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Abstract Effective load balancing is tougher in grid computing compared to other conventional distributed computing platforms due to its heterogeneity, autonomy, scalability, and adaptability characteristics, resource selection and distribution mechanisms, and data separation. Hence, it is necessary to identify and handle the uncertainty of the tasks and grid resources before making load balancing decisions. Using two potential forms of Hidden Markov Models (HMM), i.e., Profile Hidden Markov Model (PF_HMM) and Pair Hidden Markov Model (PR_HMM), the uncertainties in the task and system paramete

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Ramasamy, Bhairavi, and Gnanou Florence Sudha. "Instantaneous channel characteristics and progression factor based collaborative routing." Indonesian Journal of Electrical Engineering and Computer Science 28, no. 2 (2022): 918. http://dx.doi.org/10.11591/ijeecs.v28.i2.pp918-925.

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Underwater acoustic sensor networks (UWASN) have enormous applications like investigating oceanographic environment, data gathering, scrutiny, calamity avoidance etc. Cooperative communication becomes mandatory when nodes are distributed far apart especially in the ocean environment. The existing relay selection techniques do not consider the instantaneous channel characteristics while selecting the relay nodes. The relays selected based on the outdated channel state information aggravates or worsens the performance of the rapidly changing or dynamic UWASN. Hence, this paper proposes an instan

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Blasiak, Pawel, Ewa Borsuk, and Marcin Markiewicz. "On safe post-selection for Bell tests with ideal detectors: Causal diagram approach." Quantum 5 (November 11, 2021): 575. http://dx.doi.org/10.22331/q-2021-11-11-575.

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Reasoning about Bell nonlocality from the correlations observed in post-selected data is always a matter of concern. This is because conditioning on the outcomes is a source of non-causal correlations, known as a selection bias, rising doubts whether the conclusion concerns the actual causal process or maybe it is just an effect of processing the data. Yet, even in the idealised case without detection inefficiencies, post-selection is an integral part of experimental designs, not least because it is a part of the entanglement generation process itself. In this paper we discuss a broad class of

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Wang, Jingyan, Carmel Baharav, Nihar B. Shah, Anita Williams Woolley, and R. Ravi. "Allocation Schemes in Analytic Evaluation: Applicant-Centric Holistic or Attribute-Centric Segmented?" Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 10, no. 1 (2022): 207–18. http://dx.doi.org/10.1609/hcomp.v10i1.22000.

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Many applications such as hiring and university admissions involve evaluation and selection of applicants. These tasks are fundamentally difficult, and require combining evidence from multiple different aspects (what we term "attributes"). In these applications, the number of applicants is often large, and a common practice is to assign the task to multiple evaluators in a distributed fashion. Specifically, in the often-used holistic allocation, each evaluator is assigned a subset of the applicants, and is asked to assess all relevant information for their assigned applicants. However, such an

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Ngo, Mao V., Tie Luo, and Tony Q. S. Quek. "Adaptive Anomaly Detection for Internet of Things in Hierarchical Edge Computing: A Contextual-Bandit Approach." ACM Transactions on Internet of Things 3, no. 1 (2022): 1–23. http://dx.doi.org/10.1145/3480172.

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The advances in deep neural networks (DNN) have significantly enhanced real-time detection of anomalous data in IoT applications. However, the complexity-accuracy-delay dilemma persists: Complex DNN models offer higher accuracy, but typical IoT devices can barely afford the computation load, and the remedy of offloading the load to the cloud incurs long delay. In this article, we address this challenge by proposing an adaptive anomaly detection scheme with hierarchical edge computing (HEC). Specifically, we first construct multiple anomaly detection DNN models with increasing complexity and as

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Potirakis, Stelios M., Bilel Nefzi, Nikolas Alexander Tatlas, Gurkan Tuna, and Maria Rangoussi. "A Wireless Network of Acoustic Sensors for Environmental Monitoring." Key Engineering Materials 605 (April 2014): 43–46. http://dx.doi.org/10.4028/www.scientific.net/kem.605.43.

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A distributed microelectronic system for the sound/acoustic monitoring of areas of environmental interest, based on a wireless network of acoustic sensors (microphones), and the automated generation of multi-level sound maps for environmental assessment has been recently proposed. This contribution focuses on the relation between the density of the wireless nodes and node operational parameters, like the required communication rate, data compression and power autonomy, in each one of the proposed area coverage schemes/ network architectures. The results provide the grounds both for the selecti

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