Pub Date : 2024-07-17DOI: 10.1142/s0218348x25400122
Saud S. Alotaibi, Sana Alazwari, Iman Basheti, Omar Alghushairy, Ayman Yafoz, Raed Alsini, F. Alallah
{"title":"Pyramid Channel-based Feature Attention Network with Ensemble Learning based UAV Image Classification on IoT Assisted Remote Sensing Environment","authors":"Saud S. Alotaibi, Sana Alazwari, Iman Basheti, Omar Alghushairy, Ayman Yafoz, Raed Alsini, F. Alallah","doi":"10.1142/s0218348x25400122","DOIUrl":"https://doi.org/10.1142/s0218348x25400122","url":null,"abstract":"","PeriodicalId":501262,"journal":{"name":"Fractals","volume":" 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141829103","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 : 2024-07-16DOI: 10.1142/s0218348x24500944
Fatma Abdelhédi, Rim Jallouli Khlif, Ahmed Said Nouri, Nabil Derbel
This work presents a new fuzzy logic parameter tuning-based fractional order sliding mode control (F-FOSMC) strategy for the trajectory tracking of robotic systems. The primary objective is to achieve an optimal control compromise seeking to minimize energy consumption for required motions, all while increasing both accuracy and rapidity of the transient response, addressing therefore a critical challenge in the field of robotics. Our approach integrates a sophisticated fuzzy logic fractional order mechanism to dynamically fine-tune the noninteger derivation parameter of the FOSMC, offering adaptability to varying operational conditions. This intelligent fuzzy logic controller tuning optimizes the FOSMC performance, demonstrates a remarkable capacity to handle uncertainties and disturbances intrinsic to robotic applications and allows to optimize the trade-off between the energy consumption and transient response efficiency throughout the robot’s motion. The effectiveness of the proposed study is thoroughly examined via simulations conducted on a 3 DOF manipulator robotic system. Results showcase that F-FOSMC significantly reduces control energy consumption while preserving rapid and efficient transient response characteristics.
{"title":"FUZZY FRACTIONAL ORDER SLIDING MODE CONTROL FOR OPTIMAL ENERGY CONSUMPTION-TRANSIENT RESPONSE TRADE-OFF IN ROBOTIC SYSTEMS","authors":"Fatma Abdelhédi, Rim Jallouli Khlif, Ahmed Said Nouri, Nabil Derbel","doi":"10.1142/s0218348x24500944","DOIUrl":"https://doi.org/10.1142/s0218348x24500944","url":null,"abstract":"This work presents a new fuzzy logic parameter tuning-based fractional order sliding mode control (F-FOSMC) strategy for the trajectory tracking of robotic systems. The primary objective is to achieve an optimal control compromise seeking to minimize energy consumption for required motions, all while increasing both accuracy and rapidity of the transient response, addressing therefore a critical challenge in the field of robotics. Our approach integrates a sophisticated fuzzy logic fractional order mechanism to dynamically fine-tune the noninteger derivation parameter of the FOSMC, offering adaptability to varying operational conditions. This intelligent fuzzy logic controller tuning optimizes the FOSMC performance, demonstrates a remarkable capacity to handle uncertainties and disturbances intrinsic to robotic applications and allows to optimize the trade-off between the energy consumption and transient response efficiency throughout the robot’s motion. The effectiveness of the proposed study is thoroughly examined via simulations conducted on a 3 DOF manipulator robotic system. Results showcase that F-FOSMC significantly reduces control energy consumption while preserving rapid and efficient transient response characteristics.","PeriodicalId":501262,"journal":{"name":"Fractals","volume":" 0","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141831824","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 : 2024-07-16DOI: 10.1142/s0218348x24501032
Harlan J. Brothers
It was long assumed that the pseudorandom distribution of prime numbers was free of biases. Specifically, while the prime number theorem gives an asymptotic measure of the probability of finding a prime number and Dirichlet’s theorem on arithmetic progressions tells us about the distribution of primes across residue classes, there was no reason to believe that consecutive primes might “know” anything about each other — that they might, for example, tend to avoid ending in the same digit. Here, we show that the Iterated Function System method (IFS) can be a surprisingly useful tool for revealing such unintuitive results and for more generally studying structure in number theory. Our experimental findings from a study in 2013 include fractal patterns that reveal “repulsive” phenomena among primes in a wide range of classes having specific congruence properties. Some of the phenomena shown in our computations and interpretation relate to more recent work by Lemke Oliver and Soundararajan on biases between consecutive primes. Here, we explore and extend those results by demonstrating how IFS points to the precise manner in which such biases behave from a dynamic standpoint. We also show that, surprisingly, composite numbers can exhibit a notably similar bias.
{"title":"USING IFS TO REVEAL BIASES IN THE DISTRIBUTION OF PRIME NUMBERS","authors":"Harlan J. Brothers","doi":"10.1142/s0218348x24501032","DOIUrl":"https://doi.org/10.1142/s0218348x24501032","url":null,"abstract":"It was long assumed that the pseudorandom distribution of prime numbers was free of biases. Specifically, while the prime number theorem gives an asymptotic measure of the probability of finding a prime number and Dirichlet’s theorem on arithmetic progressions tells us about the distribution of primes across residue classes, there was no reason to believe that consecutive primes might “know” anything about each other — that they might, for example, tend to avoid ending in the same digit. Here, we show that the Iterated Function System method (IFS) can be a surprisingly useful tool for revealing such unintuitive results and for more generally studying structure in number theory. Our experimental findings from a study in 2013 include fractal patterns that reveal “repulsive” phenomena among primes in a wide range of classes having specific congruence properties. Some of the phenomena shown in our computations and interpretation relate to more recent work by Lemke Oliver and Soundararajan on biases between consecutive primes. Here, we explore and extend those results by demonstrating how IFS points to the precise manner in which such biases behave from a dynamic standpoint. We also show that, surprisingly, composite numbers can exhibit a notably similar bias.","PeriodicalId":501262,"journal":{"name":"Fractals","volume":" 22","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141832403","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 : 2024-07-12DOI: 10.1142/s0218348x24300022
Najmeh Pakniyat, Jamaluddin Abdullah, Ondrej Krejcar, H. Namazi
{"title":"Complexity-Based Analysis in Biomedical Image Analysis: A Review","authors":"Najmeh Pakniyat, Jamaluddin Abdullah, Ondrej Krejcar, H. Namazi","doi":"10.1142/s0218348x24300022","DOIUrl":"https://doi.org/10.1142/s0218348x24300022","url":null,"abstract":"","PeriodicalId":501262,"journal":{"name":"Fractals","volume":"20 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141652127","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 : 2024-07-10DOI: 10.1142/s0218348x25400067
Abdulkhaleq Q. A. Hassan, Alya Alshammari, B. Zaqaibeh, Muhammad Swaileh A. Alzaidi, Randa Allafi, Sana Alazwari, Jawhara Aljabri, Amal M. Nouri
{"title":"Enhancing Natural Language Processing Using Walrus Optimizer with Self-Attention Deep Learning Model in Applied Linguistics","authors":"Abdulkhaleq Q. A. Hassan, Alya Alshammari, B. Zaqaibeh, Muhammad Swaileh A. Alzaidi, Randa Allafi, Sana Alazwari, Jawhara Aljabri, Amal M. Nouri","doi":"10.1142/s0218348x25400067","DOIUrl":"https://doi.org/10.1142/s0218348x25400067","url":null,"abstract":"","PeriodicalId":501262,"journal":{"name":"Fractals","volume":"45 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141660004","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 : 2024-07-06DOI: 10.1142/s0218348x24501019
P. Trybek, Ł. Machura, Piotr Bednarczyk, Urszula Cojg, Patrycja Podleśny, Kamila Szumała, Agata WAWRZKIEWICZ-JAŁOWIECKA
Over the years, the (multi)fractal nature of signals describing the activity of ion channels has been observed both at the level of single-channel currents and the temporal scaling of the corresponding sojourns in conducting and non-conducting states. The recognized nonlinear and self-similar properties were interpreted regarding the underlying channel gating machinery. Nevertheless, the literature lacks in (multi)fractal description of the biochemical stimulation of ion channels. Therefore, in this work, we provide a multifractal description of the effects exerted by two different flavonoids — naringenin (Nar) and quercetin (Que) — being the regulators of the large-conductance voltage- and Ca[Formula: see text]-activated K[Formula: see text] channels from the inner mitochondrial membrane (mitoBK). Toward this aim, the focus-based multifractal detrended fluctuation analysis (MFDFA) was applied to the patch-clamp data obtained in the presence of Nar and Que in micromolar concentrations and the corresponding controls. Our results show that mitoBK channel activity has well-pronounced multifractal characteristics and long-range memory (measured by the generalized Hurst exponent) under biochemical stimulation by Nar and Que and in the absence of these substances. The spectral properties significantly change after the randomization of the analyzed series. Therefore, multifractality is an inherent feature of the mitoBK channel currents, which stems from their statistical distribution and temporal organization. Both flavonoids have similar structures and exert channel-activating effects, but they differently affect the parameters of the multifractal spectra of the corresponding patch-clamp signals. Coordination of Que leads to more prominent changes in signal complexity than Nar at membrane hyper- and depolarization. It suggests that this flavonoid has a stronger impact on the conformational dynamics of the mitoBK channels in comparison with naringenin.
多年来，无论是在单通道电流层面，还是在传导和非传导状态下相应的时间缩放层面，都观察到了描述离子通道活动信号的（多）分形性质。公认的非线性和自相似特性被解释为潜在的通道门控机制。然而，文献缺乏对离子通道生化刺激的（多）分形描述。因此，在这项工作中，我们对两种不同的类黄酮--柚皮苷（Nar）和槲皮素（Que）--作为线粒体内膜（mitoBK）大电导电压和钙[式：见正文]激活 K[式：见正文]通道的调节剂所产生的影响进行了多分形描述。为此，我们将基于聚焦的多分形去趋势波动分析（MFDFA）应用于在微摩尔浓度的 Nar 和 Que 存在下获得的贴片钳数据以及相应的对照组。结果表明，在Nar和Que的生化刺激下，以及在没有这两种物质的情况下，线粒体BK通道活动具有明显的多分形特征和长程记忆（通过广义赫斯特指数测量）。在对分析序列进行随机化处理后，光谱特性会发生明显变化。因此，多折射性是线粒体BK通道电流的固有特征，源于其统计分布和时间组织。这两种黄酮类化合物具有相似的结构，并具有激活通道的作用，但它们对相应的贴片钳信号的多分形光谱参数的影响却不同。在膜超极化和去极化时，阙协调导致的信号复杂性变化比 Nar 更为突出。这表明，与柚皮苷相比，阙黄酮对线粒体BK通道构象动力学的影响更大。
{"title":"MULTIFRACTAL CHARACTERISTICS OF THE MITOCHONDRIAL BK CHANNEL ACTIVITY IN THE PRESENCE OF THE CHANNEL-ACTIVATING FLAVONOIDS","authors":"P. Trybek, Ł. Machura, Piotr Bednarczyk, Urszula Cojg, Patrycja Podleśny, Kamila Szumała, Agata WAWRZKIEWICZ-JAŁOWIECKA","doi":"10.1142/s0218348x24501019","DOIUrl":"https://doi.org/10.1142/s0218348x24501019","url":null,"abstract":"Over the years, the (multi)fractal nature of signals describing the activity of ion channels has been observed both at the level of single-channel currents and the temporal scaling of the corresponding sojourns in conducting and non-conducting states. The recognized nonlinear and self-similar properties were interpreted regarding the underlying channel gating machinery. Nevertheless, the literature lacks in (multi)fractal description of the biochemical stimulation of ion channels. Therefore, in this work, we provide a multifractal description of the effects exerted by two different flavonoids — naringenin (Nar) and quercetin (Que) — being the regulators of the large-conductance voltage- and Ca[Formula: see text]-activated K[Formula: see text] channels from the inner mitochondrial membrane (mitoBK). Toward this aim, the focus-based multifractal detrended fluctuation analysis (MFDFA) was applied to the patch-clamp data obtained in the presence of Nar and Que in micromolar concentrations and the corresponding controls. Our results show that mitoBK channel activity has well-pronounced multifractal characteristics and long-range memory (measured by the generalized Hurst exponent) under biochemical stimulation by Nar and Que and in the absence of these substances. The spectral properties significantly change after the randomization of the analyzed series. Therefore, multifractality is an inherent feature of the mitoBK channel currents, which stems from their statistical distribution and temporal organization. Both flavonoids have similar structures and exert channel-activating effects, but they differently affect the parameters of the multifractal spectra of the corresponding patch-clamp signals. Coordination of Que leads to more prominent changes in signal complexity than Nar at membrane hyper- and depolarization. It suggests that this flavonoid has a stronger impact on the conformational dynamics of the mitoBK channels in comparison with naringenin.","PeriodicalId":501262,"journal":{"name":"Fractals","volume":" 45","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141672642","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 : 2024-07-05DOI: 10.1142/s0218348x2540002x
Jaber S. Alzahrani, Mohammed Rizwanullah, A. Osman
{"title":"Automated Indoor Activity Monitoring for Elderly and Visually Impaired People using Quantum Salp Swarm Algorithm with Machine Learning","authors":"Jaber S. Alzahrani, Mohammed Rizwanullah, A. Osman","doi":"10.1142/s0218348x2540002x","DOIUrl":"https://doi.org/10.1142/s0218348x2540002x","url":null,"abstract":"","PeriodicalId":501262,"journal":{"name":"Fractals","volume":" 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141674864","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 : 2024-07-03DOI: 10.1142/s0218348x24501068
F. A. Godinez, G. Fernández-Anaya, S. Quezada-García, L. A. Quezada-Téllez, M. Polo-Labarrios
{"title":"Neutron Point Kinetics Model with a Distributed-Order Fractional Derivative","authors":"F. A. Godinez, G. Fernández-Anaya, S. Quezada-García, L. A. Quezada-Téllez, M. Polo-Labarrios","doi":"10.1142/s0218348x24501068","DOIUrl":"https://doi.org/10.1142/s0218348x24501068","url":null,"abstract":"","PeriodicalId":501262,"journal":{"name":"Fractals","volume":"37 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141837668","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 : 2024-07-03DOI: 10.1142/s0218348x24501081
Yongfang Qi, Guoping Li
{"title":"Katugampola fractional parameterized inequalities for s-convex function in the fourth sense","authors":"Yongfang Qi, Guoping Li","doi":"10.1142/s0218348x24501081","DOIUrl":"https://doi.org/10.1142/s0218348x24501081","url":null,"abstract":"","PeriodicalId":501262,"journal":{"name":"Fractals","volume":"124 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141682026","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 : 2024-07-03DOI: 10.1142/s0218348x24501093
Xiao-Xia Li, Ye-Cheng Luo, Abdulrahman Ali Alsolami, Ji-Huan He
{"title":"Elucidating the fractal nature of the porosity of nanofiber members in the electrospinning process","authors":"Xiao-Xia Li, Ye-Cheng Luo, Abdulrahman Ali Alsolami, Ji-Huan He","doi":"10.1142/s0218348x24501093","DOIUrl":"https://doi.org/10.1142/s0218348x24501093","url":null,"abstract":"","PeriodicalId":501262,"journal":{"name":"Fractals","volume":"58 S275","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141683261","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：