Pub Date : 2022-07-18DOI: 10.1109/COMPENG50184.2022.9905436
T. Hulka, R. Matousek, R. Lozi
This paper deals with the design of an advanced objective function capable of proper evaluation of the solutions during the process of chaotic trajectory stabilisation into stable periodic motion by means of evolutionary metaheuristic optimization. The challenging problem of stabilisation of chaotic systems generates many unexpected difficulties. One of them is the evaluation of a sample stabilized run during optimization. Even more so, when the target state of the chaotic system is a stable cycle oscillating periodically between several target positions. In this study, a two-dimensional dynamical system, known as the Hénon map was used. The system is stabilized using Extended Time Delayed Auto Synchronization (ETDAS) method with Genetic Algorithm (GA) optimization. The solutions are evaluated by a permutation-selective objective function, which achieves significantly better results than conventional evaluation methods based on a common objective function.
{"title":"Stabilization of Higher Periodic Orbits of Chaotic maps using Permutation-selective Objective Function","authors":"T. Hulka, R. Matousek, R. Lozi","doi":"10.1109/COMPENG50184.2022.9905436","DOIUrl":"https://doi.org/10.1109/COMPENG50184.2022.9905436","url":null,"abstract":"This paper deals with the design of an advanced objective function capable of proper evaluation of the solutions during the process of chaotic trajectory stabilisation into stable periodic motion by means of evolutionary metaheuristic optimization. The challenging problem of stabilisation of chaotic systems generates many unexpected difficulties. One of them is the evaluation of a sample stabilized run during optimization. Even more so, when the target state of the chaotic system is a stable cycle oscillating periodically between several target positions. In this study, a two-dimensional dynamical system, known as the Hénon map was used. The system is stabilized using Extended Time Delayed Auto Synchronization (ETDAS) method with Genetic Algorithm (GA) optimization. The solutions are evaluated by a permutation-selective objective function, which achieves significantly better results than conventional evaluation methods based on a common objective function.","PeriodicalId":211056,"journal":{"name":"2022 IEEE Workshop on Complexity in Engineering (COMPENG)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121813610","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-18DOI: 10.1109/COMPENG50184.2022.9905451
Tommaso Mori, Alessandro Riga, J. Moggi-Cecchi, Chiara Canfailla, A. Barucci
Human skeletal remains are an immense source of data to describe human biodiversity with an intrinsic complexity due to the multifactorial origin of human variability. Evolution and ontogeny produced complex patterns of variation through contingent events and adaptations. Multivariate approaches have been widely adopted in physical anthropology; however, at present, Artificial Intelligence algorithms have scarcely been applied to such datasets. Data analysis techniques based on Artificial Intelligence algorithms have shown to be suitable in many different fields, from engineering and medicine up to cultural heritage and Egyptology. In this work we aim to show how Machine Learning algorithms can be applied in the field of anthropology, using the W.W. Howells dataset of cranial measurements, limited to the analysis of African populations. Principal Component Analysis (PCA), t-distributed stochastic neighbor embedding (t-SNE), Spectral Embedding and Uniform Manifold Approximation and Projection (UMAP) were used for dimensionality reduction, along with supervised and unsupervised methods to explore and quantify the differences due to ancestry and sex in the skulls of African populations. Algorithms such as Support Vector Machines and the unsupervised DBSCAN were applied to the data in order to quantify this similarity. This strategy allows a discrimination of sex and ancestry (about 85% of accuracy for both) in human remains, ultimately opening up new routes for anthropological research.
{"title":"Exploring the complexity of African populations variability with Machine Learning","authors":"Tommaso Mori, Alessandro Riga, J. Moggi-Cecchi, Chiara Canfailla, A. Barucci","doi":"10.1109/COMPENG50184.2022.9905451","DOIUrl":"https://doi.org/10.1109/COMPENG50184.2022.9905451","url":null,"abstract":"Human skeletal remains are an immense source of data to describe human biodiversity with an intrinsic complexity due to the multifactorial origin of human variability. Evolution and ontogeny produced complex patterns of variation through contingent events and adaptations. Multivariate approaches have been widely adopted in physical anthropology; however, at present, Artificial Intelligence algorithms have scarcely been applied to such datasets. Data analysis techniques based on Artificial Intelligence algorithms have shown to be suitable in many different fields, from engineering and medicine up to cultural heritage and Egyptology. In this work we aim to show how Machine Learning algorithms can be applied in the field of anthropology, using the W.W. Howells dataset of cranial measurements, limited to the analysis of African populations. Principal Component Analysis (PCA), t-distributed stochastic neighbor embedding (t-SNE), Spectral Embedding and Uniform Manifold Approximation and Projection (UMAP) were used for dimensionality reduction, along with supervised and unsupervised methods to explore and quantify the differences due to ancestry and sex in the skulls of African populations. Algorithms such as Support Vector Machines and the unsupervised DBSCAN were applied to the data in order to quantify this similarity. This strategy allows a discrimination of sex and ancestry (about 85% of accuracy for both) in human remains, ultimately opening up new routes for anthropological research.","PeriodicalId":211056,"journal":{"name":"2022 IEEE Workshop on Complexity in Engineering (COMPENG)","volume":"318 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116600496","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-18DOI: 10.1109/COMPENG50184.2022.9905449
José Antonio Trujillo, Isabel de la Bandera, Jesús Burgueño, David Palacios, R. Barco
The arrival of a new generation of mobile networks as 5G (5th Generation), brings with it greater complexity in the management of the network due to new services and scenarios. In this context, SON (Self-Organizing Networks) becomes a key factor, given its ability for automate tasks and reduce human workload. Monitoring the network turns out be a crucial task, as it acts as the basis for the other SON functions. This paper proposes a methodology for automate monitoring of mobile networks based on their KPI (Key Performance Indicator).
{"title":"Methodology for autonomous monitoring of mobile networks","authors":"José Antonio Trujillo, Isabel de la Bandera, Jesús Burgueño, David Palacios, R. Barco","doi":"10.1109/COMPENG50184.2022.9905449","DOIUrl":"https://doi.org/10.1109/COMPENG50184.2022.9905449","url":null,"abstract":"The arrival of a new generation of mobile networks as 5G (5th Generation), brings with it greater complexity in the management of the network due to new services and scenarios. In this context, SON (Self-Organizing Networks) becomes a key factor, given its ability for automate tasks and reduce human workload. Monitoring the network turns out be a crucial task, as it acts as the basis for the other SON functions. This paper proposes a methodology for automate monitoring of mobile networks based on their KPI (Key Performance Indicator).","PeriodicalId":211056,"journal":{"name":"2022 IEEE Workshop on Complexity in Engineering (COMPENG)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124771326","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-18DOI: 10.1109/COMPENG50184.2022.9905438
A. Amini, T. Gan
The composite materials are becoming more popular due to their advantages over traditional materials, including being lightweight, high stiffness-to-density and high strength-to-weight ratios. As a result, composite materials have been widely used in manufacturing sector for various industries including aerospace, automotive, marine and energy. Nonetheless, as machining of composites is unavoidable for assembly purposes, defects can be induced at various stages of manufacturing process. Drilling of fiber-reinforced composites is a complex task due to their anisotropic, inhomogeneous, and highly abrasive characteristics. Defects form drilling process including delamination and fiber pull-out can significantly affect the strength and performance of composites. There have been a wide variety of non-destructive testing (NDT) methods playing a major role in testing of composite materials. However, the current NDT solutions for in-service inspection are largely complex, which leads to higher inspection costs. The proposed solution uses artificial intelligence (AI) based algorithm utilizing Terahertz imaging data to detect drilling-induced defects in composite materials during manufacturing and assembly. A machine learning (ML) model has been developed to process the data obtained from Terahertz scanning to automatically detect and report the defects in composite drillings. In order to achieve such a system, a ML model based on Faster R-CNN neural network for drill holes’ defects detection has been developed. This automated solution will have the ability to reduce the manual inspection time of the operator and the costs of inspection process of drilling holes. The developed system proved to have a statistically significant efficiency in both performance and speed as well as reducing the sub-quality products.
{"title":"A Machine Learning Based Model for Monitoring of Composites’ Drilling-Induced Defects During Assembly Production Using Terahertz Imaging Data","authors":"A. Amini, T. Gan","doi":"10.1109/COMPENG50184.2022.9905438","DOIUrl":"https://doi.org/10.1109/COMPENG50184.2022.9905438","url":null,"abstract":"The composite materials are becoming more popular due to their advantages over traditional materials, including being lightweight, high stiffness-to-density and high strength-to-weight ratios. As a result, composite materials have been widely used in manufacturing sector for various industries including aerospace, automotive, marine and energy. Nonetheless, as machining of composites is unavoidable for assembly purposes, defects can be induced at various stages of manufacturing process. Drilling of fiber-reinforced composites is a complex task due to their anisotropic, inhomogeneous, and highly abrasive characteristics. Defects form drilling process including delamination and fiber pull-out can significantly affect the strength and performance of composites. There have been a wide variety of non-destructive testing (NDT) methods playing a major role in testing of composite materials. However, the current NDT solutions for in-service inspection are largely complex, which leads to higher inspection costs. The proposed solution uses artificial intelligence (AI) based algorithm utilizing Terahertz imaging data to detect drilling-induced defects in composite materials during manufacturing and assembly. A machine learning (ML) model has been developed to process the data obtained from Terahertz scanning to automatically detect and report the defects in composite drillings. In order to achieve such a system, a ML model based on Faster R-CNN neural network for drill holes’ defects detection has been developed. This automated solution will have the ability to reduce the manual inspection time of the operator and the costs of inspection process of drilling holes. The developed system proved to have a statistically significant efficiency in both performance and speed as well as reducing the sub-quality products.","PeriodicalId":211056,"journal":{"name":"2022 IEEE Workshop on Complexity in Engineering (COMPENG)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121441350","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-18DOI: 10.1109/COMPENG50184.2022.9905456
E. Manzoni, M. Rampazzo, L. Micco, F. Susin
The complex human systemic circulation can be mimicked by exploiting in vitro simulators, giving the chance to replicate both physiological and pathological conditions. Specifically, in this work, it is considered the Pulse Duplicator (PD) in use at the Healing Research Laboratory, at the University of Padova, Italy, aimed at testing medical devices, accelerating innovation cycles, and rapidly exploring new effective practical solutions. Besides the opportunities of such a workbench, there are also some challenges, especially for issues that are related to the set-up of experiments, in order to guarantee their quality and repeatability. It goes without saying that the proper tuning of certain PD parameters is crucial. This paper shows how one can assist the system tuning procedure by leveraging some tools of dynamical systems.
{"title":"Mimicking the Complex Human Circulatory System via a Custom Hydro-mechanical Pulse Duplicator","authors":"E. Manzoni, M. Rampazzo, L. Micco, F. Susin","doi":"10.1109/COMPENG50184.2022.9905456","DOIUrl":"https://doi.org/10.1109/COMPENG50184.2022.9905456","url":null,"abstract":"The complex human systemic circulation can be mimicked by exploiting in vitro simulators, giving the chance to replicate both physiological and pathological conditions. Specifically, in this work, it is considered the Pulse Duplicator (PD) in use at the Healing Research Laboratory, at the University of Padova, Italy, aimed at testing medical devices, accelerating innovation cycles, and rapidly exploring new effective practical solutions. Besides the opportunities of such a workbench, there are also some challenges, especially for issues that are related to the set-up of experiments, in order to guarantee their quality and repeatability. It goes without saying that the proper tuning of certain PD parameters is crucial. This paper shows how one can assist the system tuning procedure by leveraging some tools of dynamical systems.","PeriodicalId":211056,"journal":{"name":"2022 IEEE Workshop on Complexity in Engineering (COMPENG)","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115801465","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-18DOI: 10.1109/COMPENG50184.2022.9905467
D. Davendra, M. Bialic-Davendra, Magdalena Metlicka
The Ant Lion Optimization (ALO) algorithm is a relative recent metaheuristic, designed on the concept of predator ant lions. The basic concepts revolve around hunting prey such as the random walk of ants, building traps, entrapment of ants in traps, catching preys, and re-building traps. The proposed algorithm focus on the stochasticity of the algorithm, with the embedding of chaos maps as pseudo-random number generation. The uniqueness of this approach is to evaluate the behavior of ALO, which employs minimal tuning parameters, and to observe the effectiveness of chaotic systems in mostly self-tuning algorithms. The experimentations was conducted on standard benchmark unimodal and multimodal problems and the results compared with the canonical version of ALO and other published algorithms. Based on the results comparisons, the Chaotic Ant Lion Optimization (CALO) performed significantly better than ALO and most compared algorithms.
{"title":"Chaotic Ant Lion Optimization Algorithm","authors":"D. Davendra, M. Bialic-Davendra, Magdalena Metlicka","doi":"10.1109/COMPENG50184.2022.9905467","DOIUrl":"https://doi.org/10.1109/COMPENG50184.2022.9905467","url":null,"abstract":"The Ant Lion Optimization (ALO) algorithm is a relative recent metaheuristic, designed on the concept of predator ant lions. The basic concepts revolve around hunting prey such as the random walk of ants, building traps, entrapment of ants in traps, catching preys, and re-building traps. The proposed algorithm focus on the stochasticity of the algorithm, with the embedding of chaos maps as pseudo-random number generation. The uniqueness of this approach is to evaluate the behavior of ALO, which employs minimal tuning parameters, and to observe the effectiveness of chaotic systems in mostly self-tuning algorithms. The experimentations was conducted on standard benchmark unimodal and multimodal problems and the results compared with the canonical version of ALO and other published algorithms. Based on the results comparisons, the Chaotic Ant Lion Optimization (CALO) performed significantly better than ALO and most compared algorithms.","PeriodicalId":211056,"journal":{"name":"2022 IEEE Workshop on Complexity in Engineering (COMPENG)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115916371","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-18DOI: 10.1109/COMPENG50184.2022.9905466
Engy M. H. Shalma, Mohamed M. H. Shalma
With the 6G being required to deliver data rates exceeding 100 Gbps for a single user, suitable wireless backhaul networks should be properly designed to carry these data to the backhaul network. In this paper, the complexity and practical aspects of designing these links in the sub-terahertz band with hardware power limitations, frequency selectivity, severe path loss, beam misalignment, coupling and noise figure losses are addressed with optimal power allocation where a new reduced complexity power allocation algorithm is proposed to realize faster data processing and lower computational delay and we investigate the effect of these factors on the system performance. The bit-rate achieved is expected to exceed 1 Tbps for 1 km using practical antennas and practically realized power sources from the literature.
{"title":"Optimal Practical Design and Reduced Complexity of 6G sub-Terahertz Wireless Backhaul Networks","authors":"Engy M. H. Shalma, Mohamed M. H. Shalma","doi":"10.1109/COMPENG50184.2022.9905466","DOIUrl":"https://doi.org/10.1109/COMPENG50184.2022.9905466","url":null,"abstract":"With the 6G being required to deliver data rates exceeding 100 Gbps for a single user, suitable wireless backhaul networks should be properly designed to carry these data to the backhaul network. In this paper, the complexity and practical aspects of designing these links in the sub-terahertz band with hardware power limitations, frequency selectivity, severe path loss, beam misalignment, coupling and noise figure losses are addressed with optimal power allocation where a new reduced complexity power allocation algorithm is proposed to realize faster data processing and lower computational delay and we investigate the effect of these factors on the system performance. The bit-rate achieved is expected to exceed 1 Tbps for 1 km using practical antennas and practically realized power sources from the literature.","PeriodicalId":211056,"journal":{"name":"2022 IEEE Workshop on Complexity in Engineering (COMPENG)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132423498","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-18DOI: 10.1109/COMPENG50184.2022.9905437
L. C. Mendes, A. Cabral, C. Alves, Y. Morère, I. Marques, A. Andrade
Bradykinesia is the main motor symptom of Parkinson's disease (PD). The clinical assessment of bradykinesia is mainly based on clinical scales, however, this type of assessment is subjective and inaccurate. This study aimed to evaluate bradykinesia objectively using a developed serious game, called RehaBEElitation. Fifteen individuals with PD (experimental group - EG) and 15 healthy individuals (control group - CG) participated in this study. Data collection was performed in the ON and OFF states of medication. Bradykinesia was evaluated using the gold standard clinical assessment scale, and calculating the response time (RT) and the participants' angular velocity (AV) of movement when playing RehaBEElitation. The t-test and the Wilcoxon-Mann-Whitney test were used for each variable, RT and AV, to confirm the differences between CG and EG, EG in the two medication states, CG and EG in the ON state, and CG and EG in the OFF state. Significant differences between groups were found in all comparisons (p<0.001). CG participants had the smallest RT, followed by EG participants in the ON state and EG participants in the OFF state. CG exhibited the largest AV, followed by EG in the ON state and EG in the OFF state. In short, the RehaBEElitation serious game is an alternative tool to objectively assess bradykinesia of individuals with PD.
{"title":"Objective Evaluation of Bradykinesia Using the RehaBEElitation Serious Game","authors":"L. C. Mendes, A. Cabral, C. Alves, Y. Morère, I. Marques, A. Andrade","doi":"10.1109/COMPENG50184.2022.9905437","DOIUrl":"https://doi.org/10.1109/COMPENG50184.2022.9905437","url":null,"abstract":"Bradykinesia is the main motor symptom of Parkinson's disease (PD). The clinical assessment of bradykinesia is mainly based on clinical scales, however, this type of assessment is subjective and inaccurate. This study aimed to evaluate bradykinesia objectively using a developed serious game, called RehaBEElitation. Fifteen individuals with PD (experimental group - EG) and 15 healthy individuals (control group - CG) participated in this study. Data collection was performed in the ON and OFF states of medication. Bradykinesia was evaluated using the gold standard clinical assessment scale, and calculating the response time (RT) and the participants' angular velocity (AV) of movement when playing RehaBEElitation. The t-test and the Wilcoxon-Mann-Whitney test were used for each variable, RT and AV, to confirm the differences between CG and EG, EG in the two medication states, CG and EG in the ON state, and CG and EG in the OFF state. Significant differences between groups were found in all comparisons (p<0.001). CG participants had the smallest RT, followed by EG participants in the ON state and EG participants in the OFF state. CG exhibited the largest AV, followed by EG in the ON state and EG in the OFF state. In short, the RehaBEElitation serious game is an alternative tool to objectively assess bradykinesia of individuals with PD.","PeriodicalId":211056,"journal":{"name":"2022 IEEE Workshop on Complexity in Engineering (COMPENG)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125967201","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-18DOI: 10.1109/COMPENG50184.2022.9905461
Emilio H. S. Sousa, A. Vidiella-Barranco, J. Roversi
We present an efficient scheme for the generation of entangled states of two spatially separated whispering-gallery-mode (WGM) micro-resonators which are coupled via 2 two-level atoms. Using an atom chain as bridges, we explore the possibility of generation, transfer as well as distributing quantum entanglement between the two cavities. We show that, for an initial preparation with the system having only one photon, the atoms can become periodically (and maximally) entangled while the intra-cavity modes in each cavity become periodically (partially) entangled. Interestingly, if the cavities are initially prepared with two photons, the dynamics can be tuned in such a way that the intra-cavity modes in each cavity become periodically entangled, reaching maximum entanglement, while the atoms remain unentangled during all time.
{"title":"On the effect of the number of photons on the generation and transfer of entangled states between toroidal cavities via artificial atoms","authors":"Emilio H. S. Sousa, A. Vidiella-Barranco, J. Roversi","doi":"10.1109/COMPENG50184.2022.9905461","DOIUrl":"https://doi.org/10.1109/COMPENG50184.2022.9905461","url":null,"abstract":"We present an efficient scheme for the generation of entangled states of two spatially separated whispering-gallery-mode (WGM) micro-resonators which are coupled via 2 two-level atoms. Using an atom chain as bridges, we explore the possibility of generation, transfer as well as distributing quantum entanglement between the two cavities. We show that, for an initial preparation with the system having only one photon, the atoms can become periodically (and maximally) entangled while the intra-cavity modes in each cavity become periodically (partially) entangled. Interestingly, if the cavities are initially prepared with two photons, the dynamics can be tuned in such a way that the intra-cavity modes in each cavity become periodically entangled, reaching maximum entanglement, while the atoms remain unentangled during all time.","PeriodicalId":211056,"journal":{"name":"2022 IEEE Workshop on Complexity in Engineering (COMPENG)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121553009","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-18DOI: 10.1109/COMPENG50184.2022.9905448
J. Krueger, R. Krauth, C. Reichert, S. Perdikis, S. Vogt, T. Huchtemann, S. Dürschmid, Almut Sickert, J. Lamprecht, A. Huremović, M. Görtler, S. Nasuto, R. Knight, H. Hinrichs, H. Heinze, S. Lindquist, M. Sailer, J. Millán, C. Sweeney-Reed
Functional electrical stimulation (FES) is a standard rehabilitation approach applied by therapists to aid motor recovery in a paretic limb post-stroke. Information pertaining to the timing of a movement attempt can be obtained from changes in the power of oscillatory electrophysiological activity in motor cortical regions, derived from scalp electroencephalographic (EEG) recordings. The use of a brain–computer interface (BCI), to enable delivery of FES within a tight temporal window with a movement attempt detected in scalp EEG, is associated with greater motor recovery than conventional FES application in patients in the chronic phase post-stroke. We hypothesized that the heightened neural plasticity early post-stroke could further enhance motor recovery and that motor improvements would be accompanied by changes in the motor cortical sensorimotor rhythm after compared with before treatment. Here we assessed clinical outcome and changes in the sensorimotor rhythm in patients following subcortical stroke affecting the non-dominant hemisphere from a study comparing timing of FES delivery using a BCI, with a Sham group, receiving FES with no such temporal relationship. The BCI group showed greater clinical improvement following the treatment, particularly early post-stroke, and a greater decrease in beta oscillatory power and long-range temporal correlation over contralateral (ipsilesional) motor cortex. The electrophysiological changes are consistent with a reduction in compensatory processes and a transition towards a subcritical state when movement is triggered at the time of movement detection based on motor cortical oscillations.
{"title":"Functional electrical stimulation driven by a brain–computer interface in acute and subacute stroke patients impacts beta power and long-range temporal correlation","authors":"J. Krueger, R. Krauth, C. Reichert, S. Perdikis, S. Vogt, T. Huchtemann, S. Dürschmid, Almut Sickert, J. Lamprecht, A. Huremović, M. Görtler, S. Nasuto, R. Knight, H. Hinrichs, H. Heinze, S. Lindquist, M. Sailer, J. Millán, C. Sweeney-Reed","doi":"10.1109/COMPENG50184.2022.9905448","DOIUrl":"https://doi.org/10.1109/COMPENG50184.2022.9905448","url":null,"abstract":"Functional electrical stimulation (FES) is a standard rehabilitation approach applied by therapists to aid motor recovery in a paretic limb post-stroke. Information pertaining to the timing of a movement attempt can be obtained from changes in the power of oscillatory electrophysiological activity in motor cortical regions, derived from scalp electroencephalographic (EEG) recordings. The use of a brain–computer interface (BCI), to enable delivery of FES within a tight temporal window with a movement attempt detected in scalp EEG, is associated with greater motor recovery than conventional FES application in patients in the chronic phase post-stroke. We hypothesized that the heightened neural plasticity early post-stroke could further enhance motor recovery and that motor improvements would be accompanied by changes in the motor cortical sensorimotor rhythm after compared with before treatment. Here we assessed clinical outcome and changes in the sensorimotor rhythm in patients following subcortical stroke affecting the non-dominant hemisphere from a study comparing timing of FES delivery using a BCI, with a Sham group, receiving FES with no such temporal relationship. The BCI group showed greater clinical improvement following the treatment, particularly early post-stroke, and a greater decrease in beta oscillatory power and long-range temporal correlation over contralateral (ipsilesional) motor cortex. The electrophysiological changes are consistent with a reduction in compensatory processes and a transition towards a subcritical state when movement is triggered at the time of movement detection based on motor cortical oscillations.","PeriodicalId":211056,"journal":{"name":"2022 IEEE Workshop on Complexity in Engineering (COMPENG)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122869043","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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