Cognitive Engines – Meta-Guide.com

Notes:

A cognitive engine is a type of artificial intelligence (AI) system that is designed to mimic the cognitive functions of the human brain. Cognitive engines are typically used to perform tasks that require reasoning, problem-solving, and decision-making, and are often used in applications such as natural language processing, image recognition, and decision support systems.

Cognitive engines are typically composed of a number of interconnected components, such as algorithms, data stores, and interfaces, that work together to perform cognitive tasks. They may be trained on large datasets of data, and use machine learning algorithms to learn and adapt to new data over time.

Cognitive engines are often designed to mimic certain aspects of the human brain, such as its ability to process and interpret sensory data, learn from experience, and make decisions based on incomplete or uncertain information. However, they do not necessarily replicate the structure or function of the brain in a literal sense, and may use very different approaches and technologies to perform cognitive tasks.

Overall, cognitive engines are a powerful tool for performing tasks that require reasoning, problem-solving, and decision-making, and are widely used in a variety of applications. However, they are not a direct replica of the human brain, and do not have the same level of complexity or capability as the human brain.

Secure enforcement in cognitive internet of vehicles
Y Qian, M Chen, J Chen, MS Hossain… – IEEE Internet of Things …, 2018 – ieeexplore.ieee.org
… Cognitive engine is smart brain on CIoV, and it can realize per- sonalized services for users. However, the technologies that support cognitive engine are artificial intelligence, data mining, machine learning, deep learning, reinforce- ment learning, etc …

Cognitive-LPWAN: Towards intelligent wireless services in hybrid low power wide area networks
M Chen, Y Miao, X Jian, X Wang… – IEEE Transactions on …, 2018 – ieeexplore.ieee.org
… (2) Cognitive engine It is clear from Fig. 3 that in the Edge Cloud and Cloud [22] we have introduced the cognitive engine, deployed high-performance artificial intelligence algorithms, and stored a lot of user data and IoT business flows …

Edge cognitive computing based smart healthcare system
M Chen, W Li, Y Hao, Y Qian, I Humar – Future Generation Computer …, 2018 – Elsevier
… computing, as a multi-disciplinary subject integrated by technologies such as machine learning, artificial intelligence, and natural language processing [14 … In this subsection, we first investigate the functionality of the data cognitive engine and the resource cognitive engine …

Aspects of machine learning in cognitive radio networks
HK Jhajj, R Garg, N Saluja – Progress in Advanced Computing and …, 2018 – Springer
… Keywords. Cognitive radio (CR) Cognitive engine (CE) Artificial intelligence (AI) Secondary user (SU) Primary user (PU) Spectrum holes. Download conference paper PDF. 1 Introduction. Cognitive radio is a technology that is used to efficiently utilize the spectrum band …

Cognitive internet of vehicles
M Chen, Y Tian, G Fortino, J Zhang, I Humar – Computer Communications, 2018 – Elsevier
… However, more research is required to discuss 5G resource allocation problems under the framework of Artificial Intelligence. In CIoV, we set forth the design idea of solving and realizing the closed loop optimization by double cognitive engine (Fig. 6) …

A framework for cognitive Internet of Things based on blockchain
AM Saghiri, M Vahdati, K Gholizadeh… – … Conference on Web …, 2018 – ieeexplore.ieee.org
… characteristics of the cognitive engine. For distributed and dynamic types of cognitive engine, an artificial intelligence technique which can use distributed information about blockchain is a good candidate. • Since, human may not be …

Artificial Intelligence for Space Communications and Navigation
R Roche – 2018 – ntrs.nasa.gov
… Affiliation: NASA Glenn Research Center Artificial Intelligence for Space Communications and Navigation … Using the framework to create a Cognitive Engine • Call preset models … Meta Brain for a embedded Cognition (MBEC) – used for unsupervised feature extraction …

The knowledge level in cognitive architectures: Current limitations and possible developments
A Lieto, C Lebiere, A Oltramari – Cognitive Systems Research, 2018 – Elsevier
… This problem, as a consequence, also limits the advancement of the research in the area of General Artificial Intelligence … In this case, the amount of semantic knowledge selected for the realization of the Cognitive Engine (one of the systems developed within the ‘Mind’s Eye …

Experience level analysis for a cognitive radio engine
H Asadi, H Volos, M Marefat, T Bose – Analog Integrated Circuits and …, 2018 – Springer
… Keywords Cognitive radio Á Cognitive engine Á Knowledge indicator Á Experience level 1 Introduction 1.1 Background and motivation … Since I1 shows the real picture from the learning jour- ney, we call it left-brain index (LBI) …

From cloud-based communications to cognition-based communications: A computing perspective
M Chen, VCM Leung – Computer Communications, 2018 – Elsevier
… Artificial Intelligence (AI) plays an important role in the ability of cognitive wireless communications to meet many of these technical challenges … Specifically, the cognition layer consists of two core cognitive engines, ie, the resource cognitive engine and data cognitive engine. 3) …

40 years of cognitive architectures: core cognitive abilities and practical applications
I Kotseruba, JK Tsotsos – Artificial Intelligence Review, 2018 – Springer
… knowledge base, learning, development, linguistic abilities, self-awareness and brain realization … a number of important issues in AI, such as natural language understanding, perceptual processing, gen- eral learning, and strategies for evaluating artificial intelligence …

Multiobjective reinforcement learning for cognitive satellite communications using deep neural network ensembles
PVR Ferreira, R Paffenroth… – IEEE Journal on …, 2018 – ieeexplore.ieee.org
… Abstract—Future spacecraft communication subsystems will potentially benefit from software-defined radios controlled by artificial intelligence algorithms … The proposed approach constitutes part of the core cognitive engine proof-of-concept delivered to the NASA John H. Glenn …

Stochastic Time Series Learning Scheme for Throughput Prediction in Cognitive Radio System
M Venkatesan, AV Kulkarni… – 2018 Fourth International …, 2018 – ieeexplore.ieee.org
… I. INTRODUCTION (HEADING 1) The brain in the Cognitive Radio is the Cognitive Engine … The Cognitive Engine widely makes use of Artificial Intelligence techniques to accomplish the learning process. Learning module is capable of various learning techniques …

Cognitive Engine Design for Spectrum Situational Awareness and Signals Intelligence
SK Jayaweera, MA Aref – 2018 21st International Symposium …, 2018 – ieeexplore.ieee.org
… The cognitive engine acts as the brain of the WACR by managing the overall cognitive and intelligent operation of the radio. The cognitive processing of the radio, performed within the cognitive engine, is divided in to two parts, as shown in Fig …

ARTIFICIAL INTELLIGENCE IN HR
O Ahmed – 2018 – ijrar.org
… II.ARTIFICIAL INTELLIGENCE AND HR FUNCTIONS … Cognitive-supporting decision-making: IBM officials, who naturally are promoting their own AI capabilities through IBM Watson, also demonstrated ways cognitive engines could help employees arrive at key day-to-day …

COGNITIVE NEUROSCIENCE BASED STRESS LEVEL MONITORING
UG Student – International Journal of Pure and Applied Mathematics, 2018 – acadpubl.eu
… direct communication of brain. A brand new way of thinking has distinguished itself by integrating to parameters or entities namely, cognitive dynamic system (CDS) and dynamic spectrum management (DSM). The function of the CDS is the role of a cognitive engine centred at …

Cognitive Anti-Jamming Satellite-To-Ground Communications on NASA’s SCaN Testbed
SK Jayaweera, S Feng, D Mortensen, A Holland… – 2018 – ntrs.nasa.gov
… 1. It is made of a reconfigurable RF front-end, a software-defined radio (SDR) baseband module and a cognitive engine (CE). The cognitive engine acts as the brain of the WACR by managing the overall cognitive and intelligent operation of the radio …

Neural network cognitive engine for autonomous and distributed underlay dynamic spectrum access
FS Mohammadi, A Kwasinski – arXiv preprint arXiv:1806.11038, 2018 – arxiv.org
Page 1. Neural Network Cognitive Engine for Autonomous and Distributed Underlay Dynamic Spectrum Access … As noted, the main component of the technique pre- sented in this papers is a neural network-based cognitive engine …

Design of cognitive engine for cognitive radio network using MOGA
S Sarma, M Singh, R Pamula – 2018 4th International …, 2018 – ieeexplore.ieee.org
… Fig. 4. Cognitive cycle III. RELATED WORK Over the most recent couple of years, communication en- gineers have obtained thoughts from the fields of machine learning and artificial intelligence (AI) to make the cognitive engine conceivable …

Robust hierarchical reasoning over sensor data with the Soar cognitive architecture
T Saucer, J Crossman – … , Vehicles, Security, and the Internet of …, 2018 – spiedigitallibrary.org
… Mixing data using a cognitive engine helps alleviate the problems described earlier regarding noisy and incomplete data by using the … Gunning, A., “Explainable Artificial Intelligence (XAI),” DARPA, 10 Aug 2016, <https://www.darpa.mil/program/explainable-artificial-intelligence …

Green cognitive body sensor network: architecture, energy harvesting and smart clothing based applications
Y Miao, G Wu, C Liu, MS Hossain… – IEEE Sensors …, 2018 – ieeexplore.ieee.org
… In the cloud, the system can analyze the potential implications of harvested energy data by the artificial intelligence algorithm (machine learning / deep learning … The ultimate goal is to produce an intelligent computing and decision- making brain, ie cognitive engine of Green …

Supervised cognitive system: A new vision for cognitive engine design in wireless networks
I AlQerm, B Shihada – 2018 15th IEEE Annual Consumer …, 2018 – ieeexplore.ieee.org
… Cognitive engine (CE) is the intelligent agent that performs decisions driven by certain performance objectives to adapt system parameters, according … to achieve reliable commu- nication and efficient resources utilization [2]. The design of CE using artificial intelligence is empha …

AUTOMATION
O FINDER – 2018 – accenture.com
… ARTIFICIAL INTELLIGENCE Transactional Sophistication of Automation … SAP Leonardo • Cathy • KYC • Amelia • Accenture Cognitive Engine • Machine Learning • Neural Networks • Natural Language Processing Page 13. Copyright © 2018 Accenture All rights reserved. 13 …

End-to-end optimization for tactical cognitive radio networks
S Couturier, T Bräysy, B Buchin… – 2018 International …, 2018 – ieeexplore.ieee.org
… Routing should use artificial intelligence or machine learning techniques to optimize route selection based on the cognitive cycle … Based on information from the cognitive engine, from the network management, and from other layers, an enhancement regarding TCP for a more …

Conversational support for education
DE Akcora, A Belli, M Berardi, S Casola… – … on Artificial Intelligence …, 2018 – Springer
… Education. AIED 2018: Artificial Intelligence in Education pp 14-19 | Cite as. Conversational Support for Education … COLAs are supported by a novel technology, iCHAT, based on the cognitive engine Watson (by IBM). Keywords. Chatbots …

Telesurgery robot based on 5G tactile Internet
Y Miao, Y Jiang, L Peng, MS Hossain… – Mobile Networks and …, 2018 – Springer
… As a brain of the surgery robot, the cloud is equipped with a cognitive engine. The main body of cloud computing is a data center. High-performance artificial intelligence algorithms are deployed and long-term historical analysis data and information for a large number of …

A Novel Architecture of MIMO Based Filtennas for Cognitive Radio Applications
N Vijayalakshmi, B Domathoti – Available at SSRN 3292869, 2018 – papers.ssrn.com
… The cognitive engine in Fig. 1(b) acts due to the fact the brain of a cognitive radio method. The cognitive engine need to have the ability to participate in the following three predominant duties: 2: Is valuable to the functioning of a cognitive radio procedure …

Cognitive Industrial Internet of Things
L Hu, D Tian, K Lin – Mobile Networks and Applications, 2018 – Springer
… Cognitive engine uses hybrid deep learning and attains high accuracy and senstivity … In the next paper with the title “Telesurgery Robot Based on 5G Tactile Internet”, the authors introduced a telesurgery robot based on the 5G tactile Internet and artificial intelligence technology …

Realizing Railway Cognitive Radio: A Reinforcement Base-Station Multi-Agent Model
C Wu, Y Wang, Z Yin – IEEE Transactions on Intelligent …, 2018 – ieeexplore.ieee.org
… in the radio environment associated with a particular location or section of track can also be recognized and the cognitive engine (CE) can … In fact, from a broader perspective, the principle of Railway Cognitive Radio (Rail-CR) is to combine artificial intelligence- based decision …

Adaptation of Transmission Parameters in Cognitive Radio Using GWO Technique
N Yadav – 2018 – tudr.thapar.edu
… Figure 1.3 Conceptual view of Cognitive Radio Cognitive radio correlates with cognitive engine by combining the use of artificial intelligence techniques. Simon Haykin illustrated Cognitive Radio as, “cognitive radio is an intelligent wireless communication …

Network slicing technology in a 5g wearable network
Y Hao, D Tian, G Fortino, J Zhang… – IEEE Communications …, 2018 – ieeexplore.ieee.org
… Based on a service cognitive engine and a net- work cognitive engine, it can realize the network and resource cognition, and further realize the … Prof. Daxin Tian’s work is supported by Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University …

Jamming-Resilient Wideband Cognitive Radios with Multi-Agent Reinforcement Learning
MA Aref, SK Jayaweera – International Journal of Software Science …, 2018 – igi-global.com
… as the sensory organs of the cognitive radios. On the other hand, the cognitive engine works as the human’s brain that may be able to acquire knowledge and make decisions (Jayaweera, 2014; Kinsner, 2009; Wang, 2014) …

MCSOC 2018
R Oka – ieeexplore.ieee.org
… Another one is symbol information such as natural language, the network of words, list … We have presented COGNICOM+ concept, a brain-inspired software-hardware paradigm, to … COGNICOM+ consists of two key components: Cognitive Engine (CE) and Smart Connectivity (SC …

Assessment of cognitive radio networks through military capability development viewpoint
T Tuukkanen, S Couturier, B Buchin… – 2018 International …, 2018 – ieeexplore.ieee.org
… decision making and learning aspects within the cognitive process is to employ Artificial Intelligence (AI) methods. Variables that feed the AI process include, eg, transmission power and modulation type, but values of these are also outputs of the cognitive engine to optimize …

A Cognitive Model of Trust for Biological and Artificial Humanoid Robots
R Sorbello, C Cali, S Tramonte, S Nishio… – Procedia computer …, 2018 – Elsevier
… The model describes the cognitive engines that enable agent solving problems in the social space by means of trust as condition for … Future work will be dedicated to developing and refining the model in a formal computational language and designing a brain computer Page 7 …

Cuckoo search based optimization of multiuser cognitive radio system under the effect of shadowing
K Kaur, M Rattan, MS Patterh – Wireless Personal Communications, 2018 – Springer
… Cognitive radio: Brain-empowered wireless communications. IEEE Journal on Selected Areas in Communications, 23(2), 201–220.CrossRefGoogle Scholar. 4. Newman, TR, Barker, BA, Wyglinski, AM, et al. (2006). Cognitive engine implementation for wireless multicarrier …

Reprint of: From cloud-based communications to cognition-based communications: A computing perspective
M Chen, VCM Leung – Computer Communications, 2018 – Elsevier
… Artificial Intelligence (AI) plays an important role in the ability of cognitive wireless communications to meet many of these technical challenges … Specifically, the cognition layer consists of two core cognitive engines, ie, the resource cognitive engine and data cognitive engine. 3) …

AIEM: AI-enabled affective experience management
Y Qian, J Lu, Y Miao, W Ji, R Jin, E Song – Future Generation Computer …, 2018 – Elsevier
… recognition and interaction system analyzes the user’s emotion mainly by facial expression recognition, posture recognition, natural language processing, human … The establishment of cognitive engine needs applying different artificial intelligence/machine learning (AI …

Summary and Future Directions
A Rezvanian, AM Saghiri, SM Vahidipour… – Recent Advances in …, 2018 – Springer
… suited to all computer engineers, scientists, and students, especially those who study/work in reinforcement learning and artificial intelligence domains … cognitive peer-to-peer networks was introduced and then an approach based on DCLAs for designing cognitive engines in the …

Advancement in Wireless Technologies and Networks
BSK Reddy – Emerging Wireless Communication and Network …, 2018 – Springer
… Though there is no formal meaning of cognitive radio, various definitions can be seen in several contexts. A cognitive radio is, as defined by the researchers at Virginia Tech, ‘A software defined radio with a cognitive engine brain’ [11, 12] …

Cognitive Radio Sensor Networks: A Survey
NT Rao, D Bhattacharyya, T Kim – Advanced Wireless Sensing …, 2018 – books.google.com
… to meet execution prerequisites and boost Quality of Service [6]. The operations of a subjective radio are controlled by the cognitive motor (Cognitive Engine) … Cognitive radio: Brain-empowered wireless communications, IEEE Journal on Selected Areas in Communications, vol …

Improved cooperative spectrum sensing model based on machine learning for cognitive radio networks
Z Li, W Wu, X Liu, P Qi – IET Communications, 2018 – IET
… This significantly improves detection performance [5, 6]. The application of artificial intelligence and machine learning to CR … used for bandwidth allocation, interference and power management, spectrum availability estimation, resource allocation, and cognitive engine design [9 …

Robust Intelligent Agents for Wireless Communications: Design and Development of Metacognitive Radio Engines
H Asadi – 2018 – repository.arizona.edu
… CRs have advanced adaptation capabilities, which are facilitated using artificial intelligence (AI) techniques [2]. Generally, a CR is an intelligent sys … intelligence techniques of a CR are implemented in an agent [4] commonly referred to as a cognitive engine (CE) …

Cognitive IoT-cloud integration for smart healthcare: Case study for epileptic seizure detection and monitoring
M Alhussein, G Muhammad, MS Hossain… – Mobile Networks and …, 2018 – Springer
… computing framework was introduced and proposed to turn IoT into a brain-powered cognitive … question answering capability and makes use of text data and natural language processing … The cloud manager sends the data to the cognitive engine, which uses multimodal data …

Real-Time Spectrum Occupancy Prediction
SA Abdelrahman, O Khaled, A Alaa, M Ali… – … Conference on Wireless …, 2018 – Springer
… Table 17.1 Cognitive engine physical layer configuration. Knobs. Configurations … We proposed the implementation of the brain inspired supervised algorithm neural network by designing a flexible network as shown in Fig. 17.5. Open image in new window Fig. 17.5. Fig. 17.5 …

Scaling Wearable Cognitive Assistance
J Wang – 2018 – pdfs.semanticscholar.org
… How to efficiently scale Gabriel applications to a large number of users remains to be answered. Second, previous work on the Gabriel framework reduces application development efforts by managing client-server communication, network flow control, and cognitive engine …

An application platform for wearable cognitive assistance
Z Chen – 2018 – reports-archive.adm.cs.cmu.edu
… Ron was wounded in Afghanistan and is slowly recovering from traumatic brain injury … occupies a previously-unpopulated region of the 3D space shown in Figure 1.5. Such an application continuously tracks user context by applying complex artificial intelligence (AI) algorithms …

BICA à rebours
P Bo?tu? – Biologically Inspired Cognitive Architectures Meeting, 2018 – Springer
… The problem whether artificial cognitive engines, the artificial minds, may have such locus of non-reductive first-person epistemicity is the problem of non … In: Lin, P., Abney, K., Jenkins, R. (eds.) Robot Ethics 2.0: From Autonomous Cars to Artificial Intelligence, pp … Behav. Brain Sci …

Cross entropy algorithm for improved soft fusion-based cooperative spectrum sensing in cognitive radio networks
AA El-Saleh, MAM Albreem, TR Ahad… – 2018 IEEE Middle East …, 2018 – ieeexplore.ieee.org
… Page 5. REFERENCES [1] S.Haykin, “Cognitive radio: brain-empowered wireless communications,” in IEEE J. Sel. Areas Commun., vol … 7, pp. 629-631, July 2010. [32] TR Newman, BA Barker, AMWyglinski, AJB Evans, and G. J. Miden, “Cognitive Engine Implementation for …

Strong Semantic Computing
P Bo?tu? – Procedia computer science, 2018 – Elsevier
… Those give a robot, or another cognitive engine, the ability to function in a … Press 2011 Copeland, J. Artificial Intelligence: A Philosophical Introduction (Blackwell, 1993) Damasio, A. Self … p. 317-327, 1982 Davidson, D; Harman, G Semantics of Natural Language, Reidel, Dodrecht …

Data Scheduling for an Enhanced Cognitive Radio System in Healthcare Environment
S Sivaranjani, V Ashok, PV Kumar – Current Trends In Biomedical …, 2018 – researchgate.net
… 2015c). Because of the administrator’s commands, the cognitive engine is fit for arranging radio-framework parameters … Dinesh T, Palanivel Rajan S (2015) Analysis of Human Brain Disorders for Effectual Hippocampus Surveillance …

Spectrum data poisoning with adversarial deep learning
Y Shi, T Erpek, YE Sagduyu… – MILCOM 2018-2018 IEEE …, 2018 – ieeexplore.ieee.org
… In the meantime, the adversary also builds a cognitive engine using another deep neural network model to predict when the … and analysis in adversarial deep learning,” in Guide to Vulnerability Analysis for Computer Networks and Systems: An Artificial Intelligence Approach, S …

Self-Programming and the Self-Domestication of the Human Species: Are We Approaching a Fourth Transition?
M Donald – Evolution, Cognition, and the History of Religion: A …, 2018 – brill.com
… The cognitive engine that drives all human social activity, and energizes all the material culture and … on personal engrams, that is, memories that are inscribed into the brain’s complex (and … They might also have some “cultural” memory stored outside their individual brains, in the …

Spectrum decision making in distributed cognitive radio networks using an optimal foraging approach
OA OKI, MO Adigun, TO Olwal – 2018 – uzspace.unizulu.ac.za
… 26 2.5 Artificial Intelligence Based Spectrum Selection and Reconfiguration Approaches . 28 … Researchers have been proposing different models using various approaches such as game-based, machine learning, artificial intelligence, statistical and predictive for spectrum …

Performance of cognitive radio sensor networks using hybrid automatic repeat ReQuest: Stop-and-wait
F Khan, A ur Rehman, M Usman, Z Tan… – Mobile Networks and …, 2018 – Springer
… Haykin S (2005) Cognitive radio: brain-empowered wireless communications … He A, Gaeddert J, Bae KK, Newman TR, Reed JH, Morales L, Park CH (2009) Development of a case-based reasoning cognitive engine for IEEE 802.22 WRAN applications …

KID model-driven things-edge-cloud computing paradigm for traffic data as a service
B Du, R Huang, Z Xie, J Ma, W Lv – IEEE Network, 2018 – ieeexplore.ieee.org
… The KID model [8] is a cognitive engine that can be used for interpret- ing incoming data, in both service requests and data provisioning … The KID model [12] was inspired by human cog- nitive processes: signals that stimulate the brain are defined as data and denoted as D; sub …

Cognitive Radio Design Optimization Over Fading Channels Using PSO, GSA and Hybrid PSOGSA
K Kaur, M Rattan, MS Patterh – 2018 Second International …, 2018 – ieeexplore.ieee.org
… S. Haykin, “Cognitive radio: Brain-empowered wireless communications,” IEEE Journal on Selected Areas in Communications, vol. 23, no. 2, pp. 201–220, 2005. [3] TR Newman, BA Barker, AM Wyglinski, A. Agah, JB Evans and GJ Minden, “Cognitive engine implementation for …

Priors and Prejudices: Comments on Susanna Siegel’s The Rationality of Perception
A Clark – Res Philosophica, 2018 – pdcnet.org
… However, I can’t see any way to judge the individuals apart from as culturally situated cognitive engines exhibiting (or failing to exhibit) certain checks and balances in … Predictive Brains, Situated Agents, and the Future of Cognitive Science.” Behavioral and Brain Sciences 36 …

Interference Mitigation Technique in Cognitive Radio Systems using Spatial Modulation-A Survey
C Reshma, AS Kumar, S Reshmi… – … Journal of Advanced …, 2018 – pdfs.semanticscholar.org
… Such VAAs collections can be controlled by a central controller acting as the cognitive engine (CE), which is used for updating a pre-existing geographical information … [5] Simon,Haykin, Cognitive Radio: Brain-Empowered Wireless Communications,Selected Areas In …

Satellite-Based Tele-Operation of an Underwater Vehicle-Manipulator System. Preliminary Experimental Results
P Di Lillo, D Di Vito, E Simetti… – … on Robotics and …, 2018 – ieeexplore.ieee.org
… The cognitive engine is split in two parts: on the onshore side it recognizes the actions that the operator wants to perform learning from … [18] F. Arrichiello, PD Lillo, DD Vito, G. Antonelli, and S. Chiaverini, “Assistive robot operated via p300-based brain computer interface,” in …

UBCGaming: Ubiquitous Cloud Gaming System
W Cai, Y Chi, C Zhou, C Zhu… – IEEE Systems Journal, 2018 – ieeexplore.ieee.org
… A. Cognitive Computing Systems In computer science, cognitive computing [7] is a computing paradigm that helps to improve decision making by mimicking the human brains ability to acquire knowledge and understand- ing through thought, experience, and … Cognitive engine …

Wireless Big Data: Technologies and Applications
Y Zhang, J Lopez, J Tang, YC Liang… – IEEE wireless …, 2018 – ieeexplore.ieee.org
… The seventh article, “Data-Cognition-Empowered Intelli- gent Wireless Networks: Data, Utilities, Cognition Brain, and Architecture,” focuses on data … big data in context cognition, and introduces an SDN archi- tecture in 5G networks, which consists cognitive engines for resource …

Metabrain for Embedded Cognition (MBEC)
R Roche, JC Briones, BN Kowalewski – 2018 – ntrs.nasa.gov
… Current efforts focus on developing cognitive engines capable of making decisions from the network level all the way to the link level. The team is exploring the use of cutting-edge technology for implementing artificial intelligence solutions in size, weight, and power-contained …

A Fuzzy-based Throughput Prediction For Wireless Communication Systems
M Olaleye, K Dahal, Z Pervez – 2018 Innovations in Intelligent …, 2018 – ieeexplore.ieee.org
… namely the Software Defined Radio (SDR) and the intelligence engine, also known as Cognitive Engine (CE) … [1] Haykin, S., Cognitive Radio: Brain-empowered Wireless … Tirado, L.; Neel, JJ; Youping Zhao; Reed, JH; Tranter, WH A Survey of Artificial Intelligence for Cognitive Ra …

Perception as Guessing Versus Perception as Knowing: Replies to Clark and Peacocke
S Siegel – Res Philosophica, 2018 – pdcnet.org
… Dino-experience in case 2, “systemic faith in Dino increases,” Clark suggests that our cognitive engine updates its … shape all of perception as well as cognition and action and everything else the brain does … brains are not fundamentally in the business of ‘processing inputs’ at all …

A Literature Review on Spectrum Sensing in Cognitive Radio Applications
V Sharma, S Joshi – 2018 Second International Conference on …, 2018 – ieeexplore.ieee.org
… Cognitive radios working on the principle of machine learning have the ability to gain knowledge from past experience is a relatively recent research area. Such generic cognitive engine can deal with the problems of capacity maximization and dynamic spectrum access [20] …

A Comprehensive Survey on Theoretic Perspective Providing Future Directions on IoT
AA Patil, VS Badgujar – 2018 International Conference on …, 2018 – ieeexplore.ieee.org
… This helps in machine learning and also provides for developing Artificial Intelligence … 2.1 Learning and Cognitive Engine This engine takes care of the learning process of the developed and computed patterns and behaviors …

Dexterous underwater manipulation from onshore locations: Streamlining efficiencies for remotely operated underwater vehicles
A Birk, T Doernbach, C Mueller… – IEEE Robotics & …, 2018 – ieeexplore.ieee.org
… from an onshore control center and narrowing the gap between low-level teleoperation and full autonomy (Figure 1). The basic idea is that the user interacts with a real-time simu- lation environment, and a cognitive engine (CE) analyzes the user’s control requests and turns …

NetClips: A Framework for Video Analytics in Sports Broadcast
M Izadi, A Chia, B Cheng, S Wu – 2018 IEEE International …, 2018 – ieeexplore.ieee.org
… NetClips acts as a cognitive engine to automatically annotate video clips with contextual sports content during match production and on archival contents … [3] SPORTTECHIE: Kevin Nardone, “STATS Launches New Artificial Intelligence Video and Analysis Tool Edge” …

Iris recognition using multi-algorithmic approaches for cognitive internet of things (CIoT) framework
R Gad, M Talha, AAA El-Latif, M Zorkany… – Future Generation …, 2018 – Elsevier
… CIoT adds a “brain” to IoT … This method achieved good accuracies of up to 99.87%. The research suggested extensions in the following research directions [18]: (a) Data cognitive engine layer can use deep learning practices and theories …

A Survey on Simulation Tools and Testbeds for Cognitive Radio Networks Study
Q Dong, Y Chen, X Li, K Zeng – arXiv preprint arXiv:1808.09858, 2018 – arxiv.org
… is shown in Figure 9. The cognitive node in crSimulator is constructed layer by layer with various spectrum sensing capabilities, and other capabilities as a wireless/cognitive node, such as battery management, mobility management, database management and cognitive engine …

A Study on Representation and Reasoning Techniques of Commonsense Episodic Knowledge: Challenges and Applications
M Gawish, AB Salem – International Journal of Computers, 2018 – pdfs.semanticscholar.org
… 1 Introduction Developing intelligent systems for any domain is the main focus of artificial intelligence (AI), which strongly requires gathering knowledge … CYC [14] is a large-scale formal logic, OMCS [15] is a knowledge base of sentences in natural language, ConceptNet [16] is …

Dynamic Spectrum Access Utilizing Neural Networks and Particle Swarm Optimization in Cognitive Radios
C Arbona – 2018 – shareok.org
… This thesis seeks to gain a better comprehension of learning schemes used in the creation of the cognitive engine and shed knowledge on the decision capabilities through … Artificial Neural Networks (ANNs) were inspired by the human brain and try to mimic its … Natural language …

ROLE OF INFORMATION TECHNOLOGY ON PATIENT CENTRICITY IN CLINICAL TRIALS
J DSouza – 2018 – wjpr.net
… brining efficiency and accountability in the clinical supply process. Cognitive engines [software that uses artificial intelligence (AI)] in these SaaS applications can automate complex business processes. They leverage the best of cloud architecture and …

Parametric Optimization of Multicarrier System using Metaheuristic Techniques
A Kaur – 2018 – tudr.thapar.edu
… SDR Software Defined Ratio AI Artificial Intelligence CBR Case-Based Reasoning HMM Hidden Markov Model … licensed and unlicensed users. 1.3 COGNITIVE RADIO ENGINE Cognitive engine is a decision making module in cognitive radio. Information collected by sensors is …

Machine Learning Applied to an RF Communication Channel
M McCaskey, E Kukura, R Corrigan… – NAECON 2018-IEEE …, 2018 – ieeexplore.ieee.org
… These algorithms can be combined together with a cognitive engine to manage the various inputs and … In complex neurological systems (eg the brain) where there are a large number of … [9] S. Pattanayak, P. Venkateswaran, and R. Nandi, “Artificial Intelligence Based Model for …

mlpack open-source machine learning library and community
M Edel – 2018 – openreview.net
… Capacity visual attention networks. In Christoph Benzmüller, Raul Rojas, and Geoff Sutcliffe, editors, Second Global Conference on Artificial Intelligence (GCAI), Proceeedings, pages 72–80, 2016 … Implementation of a space communications cognitive engine …

The Art of Capturing Opportunities—Screening Arab Social Entrepreneurs
M Buheji – 2018 – halshs.archives-ouvertes.fr
… A discussion on how the social challenges trigger the frontal lobe of the brain of the social entrepreneur to come … Therefore, the psychology of an individual distinctive perceptual and information-processing found to develop the cognitive engine alertness for more opportunity …

Techniques for Low-latency in Software-defined Radio-based Networks
DD Hart – 2018 – apps.dtic.mil
… have an Artificial Intelligence (AI) back-end to allow them to autonomously react and adapt to their transmission environment with no user interaction. The present research aims to develop and test a Genetic Algorithm (GA)-based Cognitive Engine (CE) to begin looking at real …

Developing an Open Source’Big Data’Cognitive Computing Platform: Big Data (Ubiquity symposium)
M Kowolenko, MA Vouk – Ubiquity, 2018 – dl.acm.org
… Machine Learning Integration of machine learning algorithms, like everything else in the cognitive engine, is based on the query request … [2] Ferrucci, DA et al. Watson: beyond Jeopardy! Artificial Intelligence 199–200, June–July (2013), 93-105 …

A Patient Data Management System for Medical Services and Training
FD Anton, S Anton – 2018 17th International Conference on …, 2018 – ieeexplore.ieee.org
… and used in other systems for scientific purposes and statistics, also the system can be integrated with Watson cognitive engine form IBM … Okazaki, M. Kawajiri and K. Tomiw, “Development and verification of child observation sheet for 5-year-old children”, Brain and Development …

Security Stipulations on IoT Networks
S Sundar, S Sumathy – Cognitive Computing for Big Data Systems Over IoT, 2018 – Springer
… to machine communication that improves brain capabilities and enhances the machines to meet the computational power of human brain … The cognitive engine gathers all the acknowledged data from the terminals in the capillary network through the mediator [4]. Various …

A Channel Ranking And Selection Scheme Based On Channel Occupancy And SNR For Cognitive Radio Systems
A Quadri – 2018 – commons.und.edu
Page 1. Masthead Logo University of North Dakota UND Scholarly Commons Theses and Dissertations Theses, Dissertations, and Senior Projects January 2018 A Channel Ranking And Selection Scheme Based On Channel Occupancy And SNR For Cognitive Radio Systems …

Cognitive Radio Connectivity for Railway Transportation Networks
KS Gill – 2018 – digitalcommons.wpi.edu
Page 1. Worcester Polytechnic Institute Digital WPI Masters Theses (All Theses, All Years) Electronic Theses and Dissertations 2018-01-22 Cognitive Radio Connectivity for Railway Transportation Networks Kuldeep S. Gill Worcester Polytechnic Institute …

Deep learning for IoT big data and streaming analytics: A survey
M Mohammadi, A Al-Fuqaha, S Sorour… – … Surveys & Tutorials, 2018 – ieeexplore.ieee.org
… one in communication networks, ie, IoT and the other in artificial intelligence, ie, DL … func- tionality of DL is imitated from the mechanisms of human brain and neurons … image recognition, image retrieval, search engines and information retrieval, and natural language processing …

Context-based spectrum sharing in 5G wireless networks based on Radio Environment Maps
P Kryszkiewicz, A Kliks, ? Ku?acz, H Bogucka… – … and Mobile Computing, 2018 – hindawi.com
… According to our approach of dynamic spectrum management, an REM-based subsystem may consist of three main functional blocks [13] and a set of interfaces, as depicted in Figure 2:(i)An REM manager, being the brain or cognitive engine of the entire system, designed for …

Neural Networks Applications in WLANs for Performance Enhancement: a Survey and Framework
GT Govere, T Yildirim – academia.edu
… International Journal of Advanced Science and Engineering www.mahendrapublications.com brain comparable efficiency … 59– 63. [20]. Bojovic, B., Baldo, N., Dini, P. 2012. A Neural Network based cognitive engine for IEEE 802.11 WLAN Access Point selection …

MMTC Communications-Frontiers
M Billinghurst – mmc.committees.comsoc.org
… It would be interesting to see how they would address the problem of real – time identification of deep tumor borders after brain shift. AR in Combat Medicine … Emotion game uses artificial intelligence coupled with facial emotion recognition …

Recent advances in learning automata
A Rezvanian, AM Saghiri, SM Vahidipour… – 2018 – Springer
… Preface This book is written for computer engineers, scientists, and students studying/working in reinforcement learning and artificial intelligence domains … 221 4.2 A Cognitive Engine for Solving Topology Mismatch Problem Based on Schelling Segregation Model …

Adaptive Repetition Scheme with Machine Learning for 3GPP NB-IoT
LS Chen, WH Chung, Y Chen… – 2018 IEEE 23rd Pacific …, 2018 – ieeexplore.ieee.org
… Subsequently, this knowledge is employed by the cognitive engine to adjust its decision by altering its transmission parameters, thereby realizing the desired performance objective (eg, the number of UEs served per unit time and throughput) …

Novel Machine Learning-Based Techniques for Efficient Resource Allocation in Next Generation Wireless Networks
I Alqerm – 2018 – repository.kaust.edu.sa
… 73 3.5.2 Resource Management for an Efficient Spectrum Utilization . 77 4 Artificial Intelligence Approaches for Cognitive Engine Design and Radio Parameters Configuration 80 4.1 Adaptive Multi-Objective Optimization Based Cognitive Engine Using …

Fazlullah Khan, Ateeq ur Rehman, Muhammad Usman, Zhiyuan Tan &
D Puthal – researchgate.net
Page 1. 123 Mobile Networks and Applications The Journal of SPECIAL ISSUES on Mobility of Systems, Users, Data and Computing ISSN 1383-469X Mobile Netw Appl DOI 10.1007/s11036-018-1020-4 Performance of Cognitive Radio Sensor …

Human Resource Recovery: Does Hypnosis Help Manage Fatigue When Workload is Increased?
MP Robain – H-Workload 2018: 2nd International Symposium on … – arrow.dit.ie
… increase. Cegarra [8] is 34 Page 37. using the metaphor of the cognitive engine where gasoline/resources are the combustibles that cope with tasks. He precises that this combustible is faster used when coping also with stress. He …

Software-defined architectures and technologies for underwater wireless sensor networks: a survey
H Luo, K Wu, R Ruby, Y Liang, Z Guo… – … Surveys & Tutorials, 2018 – ieeexplore.ieee.org
Page 1. IEEE COMMUNICATIONS SURVEYS & TUTORIALS, VOL. 20, NO. 4, FOURTH QUARTER 2018 2855 Software-Defined Architectures and Technologies for Underwater Wireless Sensor Networks: A Survey Hanjiang …

IoT European Security and Privacy Projects: Integration, Architectures and Interoperability
E Ferrera, C Pastrone, PE Brun… – … Internet of Things …, 2018 – sintef.brage.unit.no
… 7.1 BRAIN-IoT 7.1.1 BRAIN-IoT Project Vision … Difficulty of implementing “Smart Behaviours” in open collaboration context: while Machine Learning (ML) and Artificial Intelligence (AI) techniques are rapidly evolving to provide smart behaviours and solu- tions to increasingly …

Magic quadrant for analytics and business intelligence platforms
C Howson, RL Sallam, JL Richardson… – Retrieved …, 2018 – cadran-analytics.nl
… capabilities. Its latest release also includes an artificial intelligence (AI) assistant interface and native natural language generation (NLG). Visionary elements on IBM’s roadmap include crowdsourcing of datasets and a separate product, IBM Analytics Catalog Services …

Generative models for learning robot manipulation skills from humans
AK Tanwani – 2018 – infoscience.epfl.ch
… Abstract A long standing goal in artificial intelligence is to make robots seamlessly interact with humans in performing everyday manipulation skills. Learning from demonstrations or imitation learning provides a promising route to bridge this gap … 132 6.2.1 Cognitive Engine …

A Utility-Based Channel Ranking for Cognitive Radio Systems
A Quadri – arXiv preprint arXiv:1805.08734, 2018 – arxiv.org
… Gaeddert, L. Morales, K. Bae, JS Um and JH Reed, “Development of radio environment map enabled case-and knowledge- based learning algorithms for IEEE 802.22 WRAN cognitive engines,” 2nd International … [49] WR Thomas, “Application of artificial intelligence to wireless …

Implementation of a machine learning based modulation scheme in GNURadio for over-the-air packet communications
M McCaskey, A Feydt, R Corrigan, K Bhasin… – 2018 – IET
… Combining these algorithms together with a cognitive engine to manage the various inputs and outputs will allow the creation of a cognitive communication system [12][13][14] … [9] Pattanayak, S., Venkateswaran, P., Nandi, R., “Artificial Intelligence Based Model for Channel …

Clinician Communication and Data Sharing during the Process of Diagnosis in the Inpatient Setting
M Quinn, J Forman, M Harrod, S Winter, K Fowler… – pdfs.semanticscholar.org
Page 1. Poster Plenary Oral, Thursday, August 30, 2018, 14:00-15:30h 1. Clinician Communication and Data Sharing during the Process of Diagnosis in the Inpatient Setting M. Quinn1, J. Forman2, M. Harrod2, S. Winter1, K. Fowler2, S. Saint2, A. Gupta2, V. Chopra2 …

Deep Reinforcement Learning Approach to QoE-Driven Resource Allocation for Spectrum Underlay in Cognitive Radio Networks
F Shah-Mohammadi… – 2018 IEEE International …, 2018 – ieeexplore.ieee.org
Page 1. Deep Reinforcement Learning Approach to QoE-Driven Resource Allocation for Spectrum Underlay in Cognitive Radio Networks Fatemeh Shah-Mohammadi and Andres Kwasinski Rochester Institute of Technology …

2nd European Conference on Diagnostic Error in Medicine August 30-31, 2018, Bern, Switzerland
D Schwappach, SJM Zurich, I Healthcare, MS Fischer – degruyter.com
Jump to ContentJump to Main Navigation …

Position Paper: A Theoretical Framework for General Cognition Evaluation of Cognitive Radios
Q Dong, Y Chen, X Li, K Zeng – 2018 IEEE International Smart …, 2018 – ieeexplore.ieee.org
… of comprehensive technologies, including software-defined radio (SDR), wireless commu- nication structure development, artificial intelligence (AI) and … Different Layer Techniques Cognitive Engine MARL [6]; Q-learning [11], etc Spectrum Sensing Energy detection; Match filter …

Computation offloading for machine learning web apps in the edge server environment
HJ Jeong, IC Jeong, HJ Lee… – 2018 IEEE 38th …, 2018 – ieeexplore.ieee.org
… Gabriel is a recent work on the VM-based customization, which customizes the edge servers with cognitive engines for servicing mobile cognitive assistance [8]. In this paper, we propose a different approach to offload ML computations to generic edge servers …

Start-ups–Founders Cardinal Rules
S Chakravorti – … and Power System was held on, 2018 – ieeecs-madras.managedbiz.com
… UCLA researchers have developed an artificial intelligence (AI)-based device that can analyse data and identify objects at the “actual speed of light”. To develop the device, they created a physical artificial neural network modelled on how the human brain works …

Data-driven Resource Management in a 5G Wearable Network using Network Slicing Technology
Y Hao, Y Jiang, MS Hossain, A Ghoneim… – IEEE Sensors …, 2018 – ieeexplore.ieee.org
… For example, the collected text data can be converted to vector representation through natural language processing … To be specific, based on the collected service data, the service cognitive engine estimate the demands for wearable devices using deep learning (eg, the …

On expediency of closed asynchronous dynamic cellular learning automata
AM Saghiri, MR Meybodi – Journal of computational science, 2018 – Elsevier
Skip to main content …

Cognitive decision engine design for CR based IoTs using Differential Evolution and Bat Algorithm
A Kaur, A Kaur, S Sharma – 2018 5th International Conference …, 2018 – ieeexplore.ieee.org
… 17-25, 2017. [5] TW Rondeau and CW Bostian, Artificial Intelligence in Wireless Communications, Noorwood: Artech House 2009 … 13, pp. 442-451, 2008. [7] TR Newman, et al. “Cognitive Engine Implementation for Wireless Multicarrier Transceivers”, Wirel. Commun. Mob …

AT THE INTERSECTION OF CRITICAL THINKING AND ECONOMICS EDUCATION: EXPLORING WHETHER LEARNING ECONOMICS AIDS IN THE DEVELOPMENT …
J Reynolds – 2018 – rc.library.uta.edu
… and Behar-Horenstein and Niu (2011) defined critical thinking as characterizing the process of purposeful, self-regulatory judgment—the cognitive engine which drives problem-solving and decision-making (Terry & Ervin, 2012). Higher order …

Building Reasoning and Problem-Solving Skills in Children with Autism Spectrum Disorder: A Step by Step Guide to the Thinking In Speech® Intervention
J Nathan – 2018 – books.google.com
… Author unknown; attributed to Victor E. Frankl Page 26. Page 27. CHAPTER 2 About the Brain Neuroscience for Understanding Autism The brain is an incredible and incredibly complex organ. At all times, our brains are constantly controlling our basic functions …

Sustainable computing based deep learning framework for writing research manuscripts
GS Mahalakshmi, GM Selvi… – IEEE Transactions …, 2018 – ieeexplore.ieee.org
… Thus, the modeling of the author is successfully tapped as ATM. In other words, the scientific articles of the author (single author history [26]) are fed to the cognitive engine which extracts only the core research articles of the author from the author’s publishing history …

Dronetrack: Cloud-based real-time object tracking using unmanned aerial vehicles over the internet
A Koubâa, B Qureshi – IEEE Access, 2018 – ieeexplore.ieee.org
… The Cognitive Engine (CE) component provides support for requests on intelligence related computations that rely on problem solving using Page 5 … Citation information: DOI 10.1109/ACCESS.2018.2811762, IEEE Access artificial intelligence techniques …

PSO based Multiobjective Optimization for parameter adaptation in CR based IoTs.
A Kaur, A Kaur, S Sharma – 2018 4th International Conference …, 2018 – ieeexplore.ieee.org
… 10. TR Newman, et al. “Cognitive Engine Implementation for Wireless Multicarrier Transceivers”,Wirel.Commun. Mob. Com., vol … 17, pp. 129-146, 2014. 12. TW Rondeau and CW Bostian, Artificial Intelligence in Wireless Communications, Noorwood: Artech House 2009. 13 …

Comparing Equivalence-Based Instruction with Lecture-Based Instruction to Teach College Students to Identify Logical Fallacies
K Roughgarden – 2018 – scholarlycommons.pacific.edu
… Page 16. 14 2011), single-subject research designs (Lovett et al., 2011), and brain–behavior relations (Fienup, Covey, & Critchfield, 2010) using online course management systems or other automated computer-based programs …

A Michigan memetic algorithm for solving the vertex coloring problem
MR Mirsaleh, MR Meybodi – Journal of computational science, 2018 – Elsevier
Skip to main content …

Paramorphic multicarrier communications for interference mitigation
M Carrick, JH Reed, CM Spooner – EURASIP Journal on …, 2018 – biomedcentral.com
This paper presents a novel method for enabling communication in cyclostationary interference limited environments by adaptively inserting and exploiting spectral redundancy in an orthogonal frequency division multiplexing (OFDM) signal. The redundancy is formed through repeating …

Approaches to social constructivist accounting education
A Schmulian – 2018 – repository.up.ac.za
Page 1. APPROACHES TO SOCIAL CONSTRUCTIVIST ACCOUNTING EDUCATION by Mrs A. Schmulian 2571625 Submitted in partial fulfilment of the requirements for the degree PhD (Accounting Sciences) in the FACULTY OF ECONOMIC AND MANAGEMENT SCIENCES …

On achieving intelligent traffic-aware consolidation of virtual machines in a data center using Learning Automata
A Jobava, A Yazidi, BJ Oommen, K Begnum – Journal of computational …, 2018 – Elsevier
… There are various applications that use LA including parameter optimization, statistical decision making, telephone routing, pattern recognition, game playing, natural language processing, modeling biological learning systems, string taxonomy, detection and tracking …

Leveraging TV white apace to monitor game conservation environments
LO Mabele – 2018 – su-plus.strathmore.edu
Page 1. Strathmore University SU+@ Strathmore University Library Electronic Theses and Dissertations 2018 Leveraging TV white apace to monitor game conservation environments Leonard Omung?ala Mabele Faculty of Information Technology (FIT) Strathmore University …

I am proud to be Chinese’Mandarin Chinese community schooling in Britain: Language, culture and pupils’ identities
S Ganassin – 5th International Conference on Chinese as a …, 2018 – eprints.ncl.ac.uk
… 20 (June 20, 2004): 51–86. Klein, Wolfgang, Ping Li, and Henriette Hendriks. “Aspect and Assertion in Mandarin Chinese.” Natural Language & Linguistic Theory 18, no. 4 (2000): 723–770. Lin, Jimmy … The cognitive engine works on the mechanics of learning …