Academic literature on the topic 'Threshold-based cognitive'

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Journal articles on the topic "Threshold-based cognitive"

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Zhang, Deng Yin, Ai Qin Bao, and Ming Xiang Wang. "Dynamic-Dual-Threshold Cooperative Spectrum Sensing Algorithm Based on D-S Evidence Theory." Applied Mechanics and Materials 519-520 (February 2014): 991–94. http://dx.doi.org/10.4028/www.scientific.net/amm.519-520.991.

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To further improve the performance of traditional dual-threshold cooperative spectrum sensing, the article proposed a dynamic-dual-threshold cooperative spectrum sensing algorithm based on D-S evidence theory (DDDS). The article is applied the D-S evidence theory in dual-threshold sensing algorithm and set threshold value depending on the channel gain. If the received signal is outside of dual-threshold, the cognitive user will send the judgment result to the base station; otherwise the cognitive user will calculate trust information based on D-S evidence theory, and then transmit them to the
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Chen, Li Na, and Chun Yu Miao. "Spectrum Detection for Cognitive Radio Based on Auto-Adaptive Threshold." Advanced Materials Research 187 (February 2011): 614–20. http://dx.doi.org/10.4028/www.scientific.net/amr.187.614.

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This paper proposed a cooperative spectrum sensing scheme based on auto-adaptive threshold in multi-user cognitive radio network, which can improve detection performance of cognitive user. According to closed-form expressions of detection probability, we compared the noncooperative scheme with the multi-user cooperative scheme, and compared the auto-adaptive threshold with fixed threshold in terms of detection probability through imitation. Result shown that the detection probability of multi-user cooperative detection is improved greatly compared to traditional noncooperative detection, and a
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Chopra, Khyati. "Intercept analysis with threshold-based diversity reception for cognitive network." International Journal of Ad Hoc and Ubiquitous Computing 41, no. 3 (2022): 170. http://dx.doi.org/10.1504/ijahuc.2022.10050033.

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Chopra, Khyati. "Intercept analysis with threshold-based diversity reception for cognitive network." International Journal of Ad Hoc and Ubiquitous Computing 41, no. 3 (2022): 170. http://dx.doi.org/10.1504/ijahuc.2022.126112.

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Ahuja, Bhawna, and Kanchan Sharma. "Adaptive Double Threshold based Spectrum Sensing for Cognitive Radio Networks." International Journal of Energy, Information and Communications 5, no. 6 (2014): 1–16. http://dx.doi.org/10.14257/ijeic.2014.5.6.01.

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Ranjeeth, M., and S. Anuradha. "Threshold Based Censoring of Cognitive Radios in Rician Fading Channel." Wireless Personal Communications 93, no. 2 (2016): 409–30. http://dx.doi.org/10.1007/s11277-016-3440-4.

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Liu, Xin, Chengwen Zhang, and Xuezhi Tan. "Double-threshold cooperative detection for cognitive radio based on weighing." Wireless Communications and Mobile Computing 14, no. 13 (2012): 1231–43. http://dx.doi.org/10.1002/wcm.2219.

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Yu, Gui Cai, Cheng Zhi Long, and Man Tian Xiang. "Research on Dynamic Threshold Based Energy Detection in Cognitive Radio Systems." Advanced Materials Research 462 (February 2012): 506–11. http://dx.doi.org/10.4028/www.scientific.net/amr.462.506.

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In cognitive radio networks, nodes should have the capability to decide whether a signal from a primary transmitter is locally present or not in a certain spectrum within a short detection period. Traditional spectrum sensing schemes based on fixed threshold are sensitive to noise uncertainty, a fractional fluctuate of average noise power in a short time can lead the performance of spectrum detection drop seriously. This paper presents a new spectrum detection algorithm based on dynamic threshold. Theoretical results show that the proposed scheme debate the noise uncertainty, and good detectio
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Wu, Yiping, Zilong Zhao, Fuwei Wu, and Jian Rong. "Information Volume Threshold for Graphical Variable Message Signs Based on Drivers’ Visual Cognition Behavior." Journal of Advanced Transportation 2022 (December 10, 2022): 1–15. http://dx.doi.org/10.1155/2022/7693492.

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Variable message signs (VMS) are widely employed to offer drivers dynamic traffic information. However, it is still lacking practical guidance about the information volume displayed on a graphical VMS. Building on the result of the subjective questionnaire survey, a static cognitive experiment was conducted to analyze the influence of volume information (i.e., elements and displaying the number of roads) of graphical VMS on drivers’ visual cognition characteristics and then determine the threshold number of roads displayed on VMS. Forty-five drivers participated in the static cognitive experim
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Zhang Xue-Jun, Lu You, Tian Feng, Sun Zhi-Xin, and Cheng Xie-Feng. "Double-threshold cooperative spectrum sensing for cognitive radio based on trust." Acta Physica Sinica 63, no. 7 (2014): 078401. http://dx.doi.org/10.7498/aps.63.078401.

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Dissertations / Theses on the topic "Threshold-based cognitive"

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Hedner, Margareta. "Olfactory Function : The Influence of Demographic, Cognitive, and Genetic Factors." Doctoral thesis, Stockholms universitet, Psykologiska institutionen, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-85907.

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Olfactory function is affected by demographic, cognitive, and genetic factors. In the present thesis, three empirical studies investigated individual differences in olfactory ability. Study I explored demographic and cognitive correlates in common olfactory tasks; odor detection, odor discrimination, and odor identification. The results indicated that old age influenced performance negatively in all tasks, and that semantic memory proficiency and executive functioning were related to odor discrimination and odor identification performance. No cognitive influence was observed for measurements o
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Song, Yao. "Threshold Based Opportunistic Scheduling of Secondary Users in Underlay Cognitive Radio Networks." Thesis, 2011. http://hdl.handle.net/10754/205811.

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In underlay cognitive radio networks, secondary users can share the spectrum with primary users as long as the interference caused by the secondary users to primary users is below a certain predetermined threshold. It is reasonable to assume that there is always a large pool of secondary users trying to access the channel, which can be occupied by only one secondary user at a given time. As a result, a multi-user scheduling problem arises among the secondary users. In this thesis, by manipulating basic schemes based on selective multi-user diversity, normalized thresholding, transmission power
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Maity, Priyanka. "Optimization of Double Threshold Based Energy Detection in Cooperative Cognitive Radio Network." Thesis, 2018. http://ethesis.nitrkl.ac.in/9942/1/2018_MT_216EC5232_PMaity_Optimization.pdf.

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In this work, we investigate a double threshold based cooperative spectrum sensing scenario. Our objective is to determine the optimal threshold for majority rule which must be selected for minimum error in final decision. The CR sensors are assumed to make local hard decisions based on conventional energy detection technique and communicate one bit decision information to the fusion center. Here we assume that sensors whose test statistics fall in ambiguity region do not report to the fusion center. A majority rule is applied at the fusion center in which at least a threshold number of local
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Chopra, Khyati. "Secrecy performance analysis of threshold-based cognitive and cooperative relay system with diversity reception." Thesis, 2018. http://eprint.iitd.ac.in:80//handle/2074/7936.

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Books on the topic "Threshold-based cognitive"

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Winter, Jerome. Citizen Science Fiction. The Rowman & Littlefield Publishing Group, 2021. https://doi.org/10.5040/9781666987119.

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Citizen Science Fiction draws on an interdisciplinary swath of literature and media to make the case that the science fiction genre can help rethink the pedagogical use of citizen science as a tool to interrogate our collective civic engagement with science and the incorporation of science into a rigorous, exciting writing-based curriculum. The book revolves around recent developments in specific scientific disciplines, including biology, ecology, computer science, astronomy, and cognitive science. Winter closely studies a range of science-fiction texts and tropes -- such as aliens, robots, cl
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Book chapters on the topic "Threshold-based cognitive"

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Zhao, Cuiying, Jiawei Chen, and Jun Ye. "Verifiable Secret Key Sharing Scheme Based on Threshold Cryptosystem." In Proceedings of the 3rd International Conference on Cognitive Based Information Processing and Applications—Volume 3. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-1983-9_51.

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Liu, Sha, Runqi Li, and Jiaxin Dai. "Research on Visual Sensing Capability Difference Between Designers and Non-designers Based on Difference Threshold Measurement." In Advances in Neuroergonomics and Cognitive Engineering. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94866-9_16.

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Gupta, Jyoti, Ankit Gupta, Sachin Chauhan, and Rahul Srivastava. "A Dynamic Threshold-Based Cognitive Radio Energy Detection Algorithm for Multi-carrier Waveforms." In Algorithms for Intelligent Systems. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-5792-7_15.

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Kiselev, Mikhail, Alexander Ivanitsky, and Andrey Lavrentyev. "Comparison of Memory Mechanisms Based on Adaptive Threshold Potential and Short-Term Synaptic Plasticity." In Advances in Neural Computation, Machine Learning, and Cognitive Research V. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-91581-0_44.

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Ranjeeth, M., and S. Anuradha. "Threshold Based Censoring of Cognitive Radios in Rician Fading Channel with Perfect Channel Estimation." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40352-6_18.

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Sreenivasan, Rajagopal, G. V. K. Sasirekha, and Jyotsna Bapat. "Adaptive Threshold Based on Group Decisions for Distributed Spectrum Sensing in Cognitive Adhoc Networks." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17878-8_64.

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Peng, Chongxiao, Yifei Wei, Bo Gu, Ligang Ren, and Mei Song. "A Dynamic Double Threshold Based Cooperative Spectrum Sensing Strategy in Heterogeneous Cognitive Radio Networks." In Human Centered Computing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74521-3_40.

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Charan, Chhagan, and Rajoo Pandey. "Cooperative Spectrum Sensing Using Eigenvalue-Based Double-Threshold Detection Scheme for Cognitive Radio Networks." In Advances in Intelligent Systems and Computing. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1822-1_18.

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Salhab, Anas M., Fawaz Al-Qahtani, Salam A. Zummo, and Hussein Alnuweiri. "An Efficient Switching Threshold-Based Scheduling Protocol for Multiuser Cognitive AF Relay Networks with Primary Users Using Orthogonal Spectrums." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24540-9_11.

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Gotthardt, Marie, Julian Striegl, Claudia Loitsch, and Gerhard Weber. "Voice Assistant-Based CBT for Depression in Students: Effects of Empathy-Driven Dialog Management." In Lecture Notes in Computer Science. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08648-9_52.

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AbstractWith a rising number of students with depression, new low-threshold solutions have to be found to strengthen the resilience against and help those affected by mental disorders. One approach lies in the usage of chatbots (CBs) to provide tools based in cognitive behavioral therapy (CBT) that can be used independently in order to reduce symptoms of depression. To ensure the adherence to such systems, a good usability and acceptance is important. Conversational agents (CAs) that provide CBT-based content should further be sensitive to the users emotional state, as empathy is one central aspect of therapy. While promising research has been going on in the field of CB-based empathy-driven CBT, voice assistant-based (VA-based) solutions have thus far not been investigated deeply. Therefore, we propose a VA-based, empathy-driven system, capable of delivering selected methods from CBT to students with depression.To assess the effects of empathy-driven dialog management on perceived usability and acceptance, we conducted a single blind randomized controlled A/B testing experiment with 10 participants. While the application of empathetical dialog management shows no benefits to the usability and acceptance, results overall indicate a good usability and acceptance of the system in the target group.
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Conference papers on the topic "Threshold-based cognitive"

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Moorthy, Yamuna K., and Sakuntala S. Pillai. "Adaptive threshold based energy detection for cognitive radios." In 2015 Global Conference on Communication Technologies (GCCT). IEEE, 2015. http://dx.doi.org/10.1109/gcct.2015.7342799.

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Maity, Priyanka, and Siddharth Deshmukh. "Optimization of Majority Rule Threshold in Double Threshold Based Cooperative Cognitive Radio Network." In 2018 Twenty Fourth National Conference on Communications (NCC). IEEE, 2018. http://dx.doi.org/10.1109/ncc.2018.8599992.

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Singh, Ajay, Manav R. Bhatnagar, and Ranjan K. Mallik. "Threshold optimization of finite sample based cognitive radio network." In 2012 National Conference on Communications (NCC). IEEE, 2012. http://dx.doi.org/10.1109/ncc.2012.6176816.

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Yu, Gui-cai, Yu-bin Shao, Hua Long, and Guang-xin Yue. "Dynamic Threshold Based Spectrum Detection in Cognitive Radio Systems." In 2009 5th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM). IEEE, 2009. http://dx.doi.org/10.1109/wicom.2009.5301508.

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Gupta, Manish, Gaurav Verma, and Rahul Kumar Dubey. "Cooperative Spectrum Sensing for Cognitive Radio Based on Adaptive Threshold." In 2016 Second International Conference on Computational Intelligence & Communication Technology (CICT). IEEE, 2016. http://dx.doi.org/10.1109/cict.2016.94.

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Dubey, Rahul Kumar, and Gaurav Verma. "Improved Spectrum Sensing for Cognitive Radio Based on Adaptive Threshold." In 2015 Second International Conference on Advances in Computing and Communication Engineering (ICACCE). IEEE, 2015. http://dx.doi.org/10.1109/icacce.2015.70.

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Xin Liu, Chengwen Zhang, and Xuezhi Tan. "Double-threshold cooperative detection for cognitive radio based on weighing." In 2011 6th International ICST Conference on Communications and Networking in China (CHINACOM). IEEE, 2011. http://dx.doi.org/10.1109/chinacom.2011.6158149.

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Imtiaz, Junaid, and Dongwoo Kim. "Threshold based reporting for improving sensing efficiency in cognitive radio systems with multiple cognitive users." In 2015 International Conference on Information and Communication Technology Convergence (ICTC). IEEE, 2015. http://dx.doi.org/10.1109/ictc.2015.7354641.

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Penna, Federico, Roberto Garello, Davide Figlioli, and Maurizio A. Spirito. "Exact non-asymptotic threshold for eigenvalue-based spectrum sensing." In 2009 4th International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CROWNCOM). IEEE, 2009. http://dx.doi.org/10.1109/crowncom.2009.5189008.

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Zhang, Yi, Lingling Zhang, and Chengkai Tang. "Dual-Threshold Cooperative Sensing Based on Coherent MAC in Cognitive Radio." In 2010 International Conference on Management and Service Science (MASS 2010). IEEE, 2010. http://dx.doi.org/10.1109/icmss.2010.5576475.

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Reports on the topic "Threshold-based cognitive"

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Chou, Roger, Azrah Y. Ahmed, Tracy Dana, et al. Living Systematic Review on Cannabis and Other Plant-Based Treatments for Chronic Pain: 2024 Update. Agency for Healthcare Research and Quality (AHRQ), 2024. https://doi.org/10.23970/ahrqepccer250.2024update.

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Objectives. To update the evidence on benefits and harms of cannabinoids and other plant-based compounds to treat subacute and chronic pain in adults and adolescents using a living systematic review approach. Data sources. Ovid® MEDLINE®, PsycINFO®, Embase®, the Cochrane Library, and SCOPUS® databases, and reference lists of included studies were searched to June 30, 2024. Review methods. We grouped studies based on their tetrahydrocannabinol (THC) to cannabidiol (CBD) ratio and by product type: synthetic, purified (plant-derived product consisting of a single cannabinoid, e.g., dronabinol or
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