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An adaptive approach to enhanced traffic signal optimization by using soft-computing techniques
2011
Expert systems with applications
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This paper presents an application of diverse soft-computing techniques to adaptive traffic light controls. The proposed methodology consists of two main phases: off-line and on-line. ...
First, clustering techniques and optimization methods are used at the off-line stage to discover the prototypes which characterize the traffic mobility patterns at an intersection. ...
Acknowledgments This research has been partially supported by PEIC09-0196-3018 SCAIWEB-2 excellence project and PCC08-0081-4388-2, of the Junta de Comunidades [Autonomous Government] of Castilla-La Mancha ...
doi:10.1016/j.eswa.2010.08.011
fatcat:shmyds2svffyzl6bpfkr2uteiq
Soft Computational Approaches for Prediction and Estimation of Software Development
2016
The Scientific World Journal
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During the past decades, the use of soft computational approaches has been extended to a large variety of software engineering applications. ...
In other words, it is used as an optimum path selection technique to produce a set of optimal paths between source and destination. ...
Acknowledgments We would like to express our sincere gratitude to all the contributors who have submitted their high-quality manuscripts and to the experts for their support in providing review comments ...
doi:10.1155/2016/3905931
pmid:26989763
pmcid:PMC4775804
fatcat:574zhazhf5f27euaiqrcak3674
Computational Intelligence in Highway Management: A Review
2015
Promet (Zagreb)
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It is focused only on modern and advanced approaches, such as soft computing, multi-agent methods and their interconnection. ...
Highway management systems are used to improve safety and driving comfort on highways by using control strategies and providing information and warnings to drivers. ...
Other topics, such as traffic enforcement, are typically subject to
COMPUTATIONAL INTELLIGENCE IN HIGHWAY MANAGEMENT: A REVIEW certification by authorities and do not use soft computing methods at all ...
doi:10.7307/ptt.v27i5.1667
fatcat:clgj6nx6frgefae4uszlxfvija
Real-time image processing systems using fuzzy and rough sets techniques
2018
Soft Computing - A Fusion of Foundations, Methodologies and Applications
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In particular, real-time image processing techniques are used in a number of domains of science, technology, and business. ...
The ultimate objective is to bring together wellfocused, top-quality research contributions, providing to the general image processing community an opportunity to get an overall view of recent results, ...
Acknowledgements We would like to express our appreciation to all the authors for their informative contributions and the reviewers for their support and constructive critiques in making this special issue ...
doi:10.1007/s00500-017-2999-3
fatcat:tlq5qkje6rei7cjots7i7qqzqu
Soft Computing-Based Congestion Control Schemes in Wireless Sensor Networks: Research Issues and Challenges
2021
Majlesi journal of electrical engineering
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Finally, specific directives are used to design and develop novel soft computing-based congestion control schemes in wireless sensor networks. ...
In this paper, congestion control schemes are classified as classic or soft computing-based schemes. ...
time is obtained using an ideal routing technique. ...
doi:10.52547/mjee.15.1.39
fatcat:crtn5qb6ybbszbckpsqoakckay
Tilting and Beam-shaping for Traffic Load Balancing in WCDMA Network
2006
2006 European Conference on Wireless Technologies
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The results show that both the adaptive approaches give benefit, with different site costs in relation to practical antenna system complexity. ...
Coverage under load balancing is optimal with respect to the whole network, rather than just for individual antennas. ...
ACKNOWLEDGEMENT We would like to thank the US Office of Naval Research grant BAA 03-001 Provision of Quality of Service on Wireless Networks, grant reference N00014-03-1-0323 and Ofcom, Proposal Reference ...
doi:10.1109/ecwt.2006.280435
fatcat:4gq4rx4vfjcb3eey5qv33okpai
Editorial
2018
Journal of Intelligent & Fuzzy Systems
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The next paper entitled, "Enhancement of small signal stability of power system using UPFC based damping controller with novel optimized fuzzy PID controller", by Narayan Nahak and et al. proposes an optimal ...
Simultaneously, soft computing tools includes widely used techniques such as fuzzy, neural network based computing, expert Systems, stochastic and probabilistic computing, multi objective optimization, ...
doi:10.3233/jifs-169562
fatcat:2qknpgafxjdaza2ppepzpwxreu
Perspectives for present and future CDMA-based communications systems
2005
IEEE Communications Magazine
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The antenna radiation pattern can be shaped in order to enhance the desired signals and null the effect of interfering signals by means of digital signal processing, combining the signals from different ...
Optimal joint decoding/detection methods allow excellent performance to be achieved, but unfortunately require prohibitive computational complexity for actual applications. ...
doi:10.1109/mcom.2005.1391507
fatcat:ko2l4almjzadpby64r6etzv52u
RAFT: A router architecture with frequency tuning for on-chip networks
2011
Journal of Parallel and Distributed Computing
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The FreqTune scheme is a better candidate for optimizing both performance and power, achieving on an average 36% reduction in latency, 13% savings in power (up to 24% at high load), and 40% savings (up ...
Experiments using synthetic workloads on an 8 × 8 wormhole-switched mesh interconnect show that FreqBoost is a better choice for reducing average latency (maximum 40%) while, FreqThrtl provides the maximum ...
Acknowledgments We would like to thank the anonymous reviewers for their reviews and comments in improving this paper. ...
doi:10.1016/j.jpdc.2010.09.005
fatcat:dvhpez5scfguxdqjkm6m7eqosq
Image Background Subtraction for Webcam
2015
International Journal of Engineering Research and
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But this approach is now successfully accomplished by using the method of 'background subtraction'. ...
Image processing is form of signal processing for which the input and output as an image. ...
Indeed, an ANN can modify its connection weights using some training algorithms or learning rules; by updating the weights, the ANN can optimize its connections to adapt to changes in the environment. ...
doi:10.17577/ijertv4is030891
fatcat:yyq4oardinfd7ezzj67okmubiu
Towards Massive Machine Type Communications in Ultra-Dense Cellular IoT Networks: Current Issues and Machine Learning-Assisted Solutions
[article]
2018
arXiv
pre-print
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Out of several ML techniques, we focus on the application of low-complexity Q-learning approach in the mMTC scenarios. ...
The related challenges include QoS provisioning, handling highly dynamic and sporadic MTC traffic, huge signalling overhead and Radio Access Network (RAN) congestion. ...
To achieve this, the device needs to compute an optimal actionvalue function, known as a Q-function. ...
arXiv:1808.02924v1
fatcat:iplhjubgbrafrdz4temdnfnjqa
Hierarchical Cellular Structures in High-Capacity Cellular Communication Systems
2011
International Journal of Advanced Computer Science and Applications
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adaptive frequency allocation (AFA) as a strategy to reuse the macro and micro cell resources without frequency planning in indoor pico cells [11] . ...
In the prevailing cellular environment, it is important to provide the resources for the fluctuating traffic demand exactly in the place and at the time where and when they are needed. ...
This can be achieved by incorporating smart antenna / Intelligent antenna in hierarchical structure with adaptive-SDMA approach. ...
doi:10.14569/ijacsa.2011.020910
fatcat:at2inapbmbhpbec4kdpdun6dsu
Adaptive Smart Traffic Accidents Management System
2021
International Journal of Interactive Mobile Technologies
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Traffic accidents have many defects relating to increase number of death, infrastructure distribution, and health injuries; therefore, there is a crucial need to develop and modify an approach that utilizes ...
The second goal is to calculate and determine the optimum route from accident location to the nearest rescue location by developing a dynamic routing schema that is calculated by the control station depending ...
Most of these researches are done to enhance road safety laws, access to post crash care and adapting of intelligent system in roads traffic management. ...
doi:10.3991/ijim.v15i14.19099
fatcat:qoapsgnr7fctlorxzga6o7v4nm
A Survey on Soft Computing Techniques for Spectrum Sensing in a Cognitive Radio Network
2020
SN Computer Science
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Different soft computing techniques (GA, PSO, ABC, ACO, FFA, FSS, Cuckoo Search, ANN, FIS, GFIS) are surveyed in this paper, along with a detailed comparative analysis between conventional and soft computing ...
Different spectrum sensing elements and requirements are presented and road map of spectrum sensing with soft computing techniques towards 5G is discussed. ...
Implementation of Soft Computing Techniques in Cognitive Radio The core of CR is its capacity to enhance its execution process via learning. ...
doi:10.1007/s42979-020-00372-z
fatcat:jk3gcvhp3batdgwyc47hv7y54e
Deep Neural Learning Adaptive Sequential Monte Carlo for Automatic Image and Speech Recognition
2020
Applied Computational Intelligence and Soft Computing
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This study implements an adaptive method for applying the particle filter technique with a gradient descent optimizer to improve model learning performance. ...
Using a pretrained model helps reduce the computational time to deploy an image classification model and uses a simple deep convolutional neural network for speech recognition. ...
Introduction Soft computing is available in several applications due to its usefulness in modeling and optimization. ...
doi:10.1155/2020/8866259
fatcat:gy5d7nnx5vb33inyjopjtofmsa
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