Journal articles: 'Configural superiority'

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Bratch, A., A. Srinath, S. Barr, W. Bromfield, and J. Gold. "Configural superiority reduces efficiency." Journal of Vision 14, no. 10 (2014): 244. http://dx.doi.org/10.1167/14.10.244.

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Moors, Pieter, Thiago Leiros Costa, and Johan Wagemans. "Configural superiority for varying contrast levels." Attention, Perception, & Psychophysics 82, no. 3 (2019): 1355–67. http://dx.doi.org/10.3758/s13414-019-01917-y.

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Pomerantz, J., and A. Cragin. "Crowding, Grouping, and the Configural Superiority Effect." Journal of Vision 12, no. 9 (2012): 1286. http://dx.doi.org/10.1167/12.9.1286.

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Houpt, J., R. Hawkins, D. Burns, and J. Townsend. "Measuring Configural Superiority with the Capacity Coefficient." Journal of Vision 13, no. 9 (2013): 73. http://dx.doi.org/10.1167/13.9.73.

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Pomerantz, J. R., A. I. Cragin, K. D. Orsten, and M. C. Portillo. "The computational and cortical bases for configural superiority." Journal of Vision 12, no. 9 (2012): 1384. http://dx.doi.org/10.1167/12.9.1384.

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Keshvari, Shaiyan, and Ruth Rosenholtz. "Evidence for configural superiority effects in convolutional neural networks." Journal of Vision 17, no. 15 (2017): 44. http://dx.doi.org/10.1167/17.15.44.

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Eidels, A., and J. T. Townsend. "Configural superiority: RT, accuracy, and an ideal observer approach." Journal of Vision 6, no. 6 (2010): 526. http://dx.doi.org/10.1167/6.6.526.

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Keshvari, Shaiyan, and Ruth Rosenholtz. "Evidence for Configural Superiority Effects in Convolutional Neural Networks." Journal of Vision 17, no. 10 (2017): 169. http://dx.doi.org/10.1167/17.10.169.

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Dresp, Birgitta. "The Kanizsa square does not engender a configural superiority effect." Bulletin of the Psychonomic Society 31, no. 3 (1993): 183–84. http://dx.doi.org/10.3758/bf03337319.

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de-Wit, Lee H., Jonas Kubilius, de Beeck Hans P. Op, and Johan Wagemans. "Configural Gestalts remain nothing more than the sum of their parts in visual agnosia." i-Perception 4, no. 8 (2013): 493–97. https://doi.org/10.1068/i0613rep.

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We report converging evidence that higher stages of the visual system are critically required for the whole to become more than the sum of its parts by studying patient DF with visual agnosia using a configural superiority paradigm. We demonstrate a clear dissociation between this patient and normal controls such that she could more easily report information about parts, demonstrating a striking reversal of the normal configural superiority effect. Furthermore, by comparing DF’s performance to earlier neuroimaging and novel modeling work, we found a compelling consistency between her performance and representations in the early visual areas, which are spared in this patient. The reversed pattern of performance in this patient highlights that in some cases visual Gestalts do not emerge early on without processing in higher visual areas. More broadly, this study demonstrates how neuropsychological patients can be used to unmask representations maintained at early stages of processing.

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Moors, Pieter, Thiago Leiros Costa, and Johan Wagemans. "Is configural superiority associated with a cost in processing spatial information?" Journal of Vision 18, no. 10 (2018): 445. http://dx.doi.org/10.1167/18.10.445.

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Bratch, Alexander, Shawn Barr, W. Drew Bromfield, Aparna Srinath, Jack Zhang, and Jason M. Gold. "The impact of configural superiority on the processing of spatial information." Journal of Experimental Psychology: Human Perception and Performance 42, no. 9 (2016): 1388–98. http://dx.doi.org/10.1037/xhp0000222.

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Bruyer, Raymond. "Configural Face Processing: A Meta-Analytic Survey." Perception 40, no. 12 (2011): 1478–90. http://dx.doi.org/10.1068/p6928.

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In the field of face processing, the configural hypothesis is defended by many researchers. It is often claimed that this thesis is robustly supported by a large number of experiments exploring the face-inversion effect, the composite face effect, the face superiority effect, and the negative face effect. However, this claim is generally based on a rudimentary and approximate vote-counting approach. In this paper, I use meta-analyses to examine the relevant literature in more depth. The analysis supports the vote-counting argument.

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Kubilius, Jonas, Johan Wagemans, and de Beeck Hans P. Op. "Emergence of perceptual Gestalts in the human visual cortex: The case of the configural superiority effect." Psychological Science 20, no. 10 (2011): 1296–303. https://doi.org/10.1177/0956797611417000.

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Many Gestalt phenomena have been described in terms of perception of a whole being not equal to the sum of its parts. It is unclear how these phenomena emerge in the brain. We used functional MRI to study the neural basis of the behavioral configural-superiority effect (i.e., visual search is more efficient when an odd element is part of a configuration than when it is presented by itself). We found that searching for the odd element in a display of four line segments (parts) was facilitated by adding two additional line segments to each of them (creating whole shapes). Functional MRI–based decoding of neural responses to the position of the odd element revealed a neural configural-superiority effect in shape-selective regions but not in low-level retinotopic areas, where decoding of parts was more pronounced. These results show how at least some Gestalt phenomena in vision emerge only at the higher stages of visual information processing and suggest that feed-forward processing might be sufficient to produce such phenomena.

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Horiuchi, Takashi, and Megumi Nakaniwa. "Impact of configural and semantic processing on semantic superiority effect of face memory." Journal of Human Environmental Studies 14, no. 2 (2016): 115–19. http://dx.doi.org/10.4189/shes.14.115.

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Nie, Qi-Yang, Mara Maurer, Hermann J. Müller, and Markus Conci. "Inhibition drives configural superiority of illusory Gestalt: Combined behavioral and drift–diffusion model evidence." Cognition 150 (May 2016): 150–62. http://dx.doi.org/10.1016/j.cognition.2016.02.007.

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Dillen, Claudia, Jean Steyaert, Hans P. Op de Beeck, and Bart Boets. "Visual Processing in Adolescents with Autism Spectrum Disorder: Evidence from Embedded Figures and Configural Superiority Tests." Journal of Autism and Developmental Disorders 45, no. 5 (2014): 1281–90. http://dx.doi.org/10.1007/s10803-014-2288-2.

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Zhang, Junjun, Xiaoyan Yang, Zhenlan Jin, and Ling Li. "Where there is no object formation, there is no perceptual organization: Evidence from the configural superiority effect." NeuroImage 237 (August 2021): 118108. http://dx.doi.org/10.1016/j.neuroimage.2021.118108.

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Tomonaga, Masaki. "Visual search for orientation of faces by a chimpanzee (Pan troglodytes): face-specific upright superiority and the role of facial configural properties." Primates 48, no. 1 (2006): 1–12. http://dx.doi.org/10.1007/s10329-006-0011-4.

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Behrmann, Marlene, Galia Avidan, Jonathan J. Marotta, and Rutie Kimchi. "Detailed Exploration of Face-related Processing in Congenital Prosopagnosia: 1. Behavioral Findings." Journal of Cognitive Neuroscience 17, no. 7 (2005): 1130–49. http://dx.doi.org/10.1162/0898929054475154.

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We show that five individuals with congenital prosopagnosia (CP) are impaired at face recognition and discrimination and do not exhibit the normal superiority for upright over inverted faces despite intact visual acuity, low-level vision and intelligence, and in the absence of any obvious neural concomitant. Interestingly, the deficit is not limited to faces: The CP individuals were also impaired at discriminating common objects and novel objects although to a lesser extent than discriminating faces. The perceptual deficit may be attributable to a more fundamental visual processing disorder; the CP individuals exhibited difficulty in deriving global configurations from simple visual stimuli, even with extended exposure duration and considerable perceptual support in the image. Deriving a global configuration from local components is more critical for faces than for other objects, perhaps accounting for the exaggerated deficit in face processing. These findings elucidate the psychological mechanisms underlying CP and support the link between configural and face processing.

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Talpos, John C., Lee de-Wit, Joseph Olley, Jack Riordan, and Thomas Steckler. "Do wholes become more than the sum of their parts in the rodent (Rattus Norvegicus ) visual system? A test case with the configural superiority effect." European Journal of Neuroscience 44, no. 8 (2016): 2593–99. http://dx.doi.org/10.1111/ejn.13350.

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Lyeo, Min-Gu, Kyu-Yun Hwang, and Sung-Hyun Lee. "Design of Dual Winding Flux Modulation Machine for Performance Improvement in Variable Speed Application." Machines 12, no. 8 (2024): 535. http://dx.doi.org/10.3390/machines12080535.

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In this paper, a Dual Winding Flux Modulation Machine (DWFMM) is proposed for variable speed application. The DWFMM is configured by adding windings to the Single Winding Flux Modulation Machine (SWFMM), consisting of a master winding that drives the motor and a slave winding that enables pole changing and performance enhancement. Through pole changing, the DWFMM can operate as two different machines: a Vernier Machine (VM) for varying speeds and torque operations and a Permanent Magnet Synchronous Machine (PMSM). In the VM mode, flux enhancement is applied to improve torque, and in the PMSM mode, Flux Weakening is applied to increase speed. The characteristics of the two different operating modes were analyzed using the Finite Element Method (FEM) to validate the machine’s performance. Finally, the DWFMM and SWFMM were designed and compared as variable speed application machines to confirm their suitability and superiority.

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T.K, Revathi, Sathiyabhama Balasubramaniam, Vidhushavarshini Sureshkumar, and Seshathiri Dhanasekaran. "An Improved Long Short-Term Memory Algorithm for Cardiovascular Disease Prediction." Diagnostics 14, no. 3 (2024): 239. http://dx.doi.org/10.3390/diagnostics14030239.

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Cardiovascular diseases, prevalent as leading health concerns, demand early diagnosis for effective risk prevention. Despite numerous diagnostic models, challenges persist in network configuration and performance degradation, impacting model accuracy. In response, this paper introduces the Optimally Configured and Improved Long Short-Term Memory (OCI-LSTM) model as a robust solution. Leveraging the Salp Swarm Algorithm, irrelevant features are systematically eliminated, and the Genetic Algorithm is employed to optimize the LSTM’s network configuration. Validation metrics, including the accuracy, sensitivity, specificity, and F1 score, affirm the model’s efficacy. Comparative analysis with a Deep Neural Network and Deep Belief Network establishes the OCI-LSTM’s superiority, showcasing a notable accuracy increase of 97.11%. These advancements position the OCI-LSTM as a promising model for accurate and efficient early diagnosis of cardiovascular diseases. Future research could explore real-world implementation and further refinement for seamless integration into clinical practice.

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Pande, Sohan Kumar, Priyanka Swain, Sanjib Kumar Nayak, and Sanjaya Kumar Panda. "An Indicator-Based Algorithm for Task Scheduling in Multi-Cloud Environments." International Journal of Cloud Applications and Computing 12, no. 1 (2022): 1–19. http://dx.doi.org/10.4018/ijcac.308274.

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Cloud computing is the ability to scale various resources and services that can be dynamically configured by the cloud service provider (CSP) and delivered on demand by the customers. The objective of most of the task scheduling algorithms is to ensure that the overall processing time of all the tasks (i.e., makespan) is minimized. Here, minimization of makespan in no way guarantees the minimization of execution cost. In indicator-based (IBTS) task scheduling algorithm for the multi-cloud environment, we can outline the significant contributions as the following: (1) IBTS achieves multi-objective solutions while considering parameters, makespan, and execution cost. (2) IBTS proposes a normalization framework with time and cost length indicators for efficient task scheduling. (3) The efficacy of the IBTS algorithm is demonstrated using both the benchmark and synthetic datasets. (4) The simulation outcomes of the IBTS algorithm in comparison with three existing task scheduling algorithms, namely ETBTS, MOTS, and PBTS, clearly exhibit superiority, which proves acceptance of IBTS algorithm.

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Ramasamy, Thirumoorthy, Ameerkhan Abdul Basheer, Myung-Hwan Tak, Young-Hoon Joo, and Seong-Ryong Lee. "An Effective DC-Link Voltage Control Strategy for Grid-Connected PMVG-Based Wind Energy Conversion System." Energies 15, no. 8 (2022): 2931. http://dx.doi.org/10.3390/en15082931.

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This study presents an effective control strategy for regulating the DC-link voltage in a variable-speed direct-driven (DD) wind energy conversion system (WECS) using a permanent magnet vernier generator (PMVG). To do this, at first, the overall system is configured using back-to-back (BTB) voltage source converters, and the whole system’s dynamical equations are modeled and presented. Following that, a non-linear sliding mode control strategy is introduced as the grid-side converter’s DC-link voltage controller to improve the dynamic performance of the PMVG system and achieve the stable power transfer with the grid. To accomplish this, a proportional and integral (PI)-based sliding surface is designed, and a hybrid reaching law is proposed to suppress chattering and deliver a faster response of DC-link voltage with negligible steady-state tracking error. Finally, the effectiveness and superiority of the proposed control strategy are validated through comparisons with existing methods using simulation and experimental results from a 5-kW PMVG system.

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Kakar, S., S. M. Ayob, N. M. Nordin, M. S. Arif, A. Jusoh, and N. D. Muhamad. "A novel single-phase PWM asymmetrical multilevel inverter with number of semiconductor switches reduction." International Journal of Power Electronics and Drive Systems (IJPEDS) 10, no. 3 (2019): 1133. http://dx.doi.org/10.11591/ijpeds.v10.i3.pp1133-1140.

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In this paper, a new asymmetrical multilevel inverter topology (MLI) is proposed with the objectives of using decreased number of semiconductor switches, dc voltage sources, gate driver circuits and dc links. The structure of presented MLI is very simple and modular. The fundamental module of this structure consists of nine semiconductor switches (eight unidirectional and one bidirectional) and four asymmetrical configured DC sources (ratio of 1:2), which can generate 13-level output voltage. To validate the design, a Matlab-Simulink based model is developed. For this paper, a Sinusoidal Pulse Width Modulation (SPWM) is deployed as the switching strategy of the proposed MLI. The circuit model is simulated under pure resistive and inductive loads. It will be shown that the circuit performs well under both loads. Comparison with traditional MLIs and other recently introduced MLIs will be conducted to show the superiority of the proposed MLI in terms of reduced number of devices and lower voltage stress across the switches.

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S., Kakar, M. Ayob S., M. Nordin N., S. Arif M., Jusoh A., and D. Muhamad N. "A novel single-phase PWM asymmetrical multilevel inverter with number of semiconductor switches reduction." International Journal of Power Electronics and Drive System (IJPEDS) 10, no. 3 (2019): 1133–40. https://doi.org/10.11591/ijpeds.v10.i3.pp1133-1140.

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In this paper, a new asymmetrical multilevel inverter topology (MLI) is proposed with the objectives of using decreased number of semiconductor switches, dc voltage sources, gate driver circuits and dc links. The structure of presented MLI is very simple and modular. The fundamental module of this structure consists of nine semiconductor switches (eight unidirectional and one bidirectional) and four asymmetrical configured DC sources (ratio of 1:2), which can generate 13-level output voltage. To validate the design, a Matlab-Simulink based model is developed. For this paper, a Sinusoidal Pulse Width Modulation (SPWM) is deployed as the switching strategy of the proposed MLI. The circuit model is simulated under pure resistive and inductive loads. It will be shown that the circuit performs well under both loads. Comparison with traditional MLIs and other recently introduced MLIs will be conducted to show the superiority of the proposed MLI in terms of reduced number of devices and lower voltage stress across the switches.

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Faleh, Rabeb, Sami Gomri, Khalifa Aguir, and Abdennaceur Kachouri. "A new combined transient extraction method coupled with WO₃ gas sensors for polluting gases classification." Sensor Review 41, no. 5 (2021): 437–48. http://dx.doi.org/10.1108/sr-02-2021-0066.

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Purpose The purpose of this paper is to deal with the classification improvement of pollutant using WO3 gases sensors. To evaluate the discrimination capacity, some experiments were achieved using three gases: ozone, ethanol, acetone and a mixture of ozone and ethanol via four WO3 sensors. Design/methodology/approach To improve the classification accuracy and enhance selectivity, some combined features that were configured through the principal component analysis were used. First, evaluate the discrimination capacity; some experiments were performed using three gases: ozone, ethanol, acetone and a mixture of ozone and ethanol, via four WO3 sensors. To this end, three features that are derivate, integral and the time corresponding to the peak derivate have been extracted from each transient sensor response according to four WO3 gas sensors used. Then these extracted parameters were used in a combined array. Findings The results show that the proposed feature extraction method could extract robust information. The Extreme Learning Machine (ELM) was used to identify the studied gases. In addition, ELM was compared with the Support Vector Machine (SVM). The experimental results prove the superiority of the combined features method in our E-nose application, as this method achieves the highest classification rate of 90% using the ELM and 93.03% using the SVM based on Radial Basis Kernel Function SVM-RBF. Originality/value Combined features have been configured from transient response to improve the classification accuracy. The achieved results show that the proposed feature extraction method could extract robust information. The ELM and SVM were used to identify the studied gases.

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Mohd Shoaib Adeeb, Mir Abdul Aziz Khan, Mohammed Zaid Uddin, and Dr. Mohammed Jameel Hashmi. "Centralized Context-Aware Firewall configuration in Virtual Network." International Journal of Information Technology and Computer Engineering 13, no. 2s (2025): 41–48. https://doi.org/10.62647/ijitce2025v13i2spp41-48.

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Modern virtualized networks require dynamic and automated security configurations to avoid vulnerabilities caused by manual setups. This project presents a system that generates and configures firewall rules automatically based on high-level Network Security Requirements (NSRs) specified by administrators. Initially, the administrator uploads a Security Graph (SG), which contains a list of Access Points (APs) representing logical network nodes. Next, the administrator defines NSRs by specifying the source AP, destination AP, and action (ALLOW or DENY) to control network traffic behavior. The system processes these NSRs to compute the optimal placement of firewall instances, generate a minimal and anomaly-free set of firewall rules, and enforce the required security policies with default behaviors like whitelisting or blacklisting. This approach formally guarantees the correctness of the solution, i.e., that all security requirements are satisfied, and it minimizes the number of needed firewalls and firewall rules. This methodology is extensively evaluated using different metrics and tests on both synthetic and real use cases, and compared to the state-of-the-art solutions, showing its superiority.

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Qin, Xuecong, Yin Luo, Shengyuan Chen, Yunfei Chen, and Yuejiang Han. "Investigation of Energy-Saving Strategy for Parallel Variable Frequency Pump System Based on Improved Differential Evolution Algorithm." Energies 15, no. 15 (2022): 5360. http://dx.doi.org/10.3390/en15155360.

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This paper presents an energy-saving strategy that was applied to a parallel variable frequency pump system of a water circulation pumping station. Firstly, the mathematical model of shaft power consumption for the parallel pump system was established using quadratic polynomial fitting, with some constraints configured according to the system’s water supply demands. Then, the algorithm program was designed with the goal of minimizing the energy consumption through the application of an improved differential evolution algorithm. Additionally, the energy consumption model and constraints were integrated and simplified in order to adapt to the algorithm calculation. In the end, the algorithm was implemented according to the pump design parameters and supply targets of the pumping station. Meanwhile, a comparison was done between the differential evolution (DE) algorithm and the genetic algorithm (GA). Furthermore, an experimental test was conducted in an aluminum company in order to verify the applicability of the energy-saving algorithm in practice. The results demonstrated the feasibility of using the improved differential evolution algorithm in order to achieve a minimum energy consumption operation strategy; the results consequently manifested the superiority of the differential evolution algorithm in both computing time and optimal solution aspects.

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Zhao, Hao, Hao Luo, and Tianyu Liu. "A Real-Time Configuration Approach for an Observer-Based Residual Generator of Fault Detection Systems." Processes 10, no. 2 (2022): 276. http://dx.doi.org/10.3390/pr10020276.

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This paper is concerned with the real-time configuration of fault detection systems by exploiting an gradient optimization scheme. It is known that industrial processes may often encounter some uncertainties or changes of operating points and environment, which would lead to an unsatisfactory fault detection result. To handle this problem, a real-time (or online) configuration strategy is introduced, which plays an important role in ensuring the efficiency of the fault detection method without a high industrial cost. In this paper, a gradient-based iterative optimization scheme is taken into account for the real-time configuration implementation. By utilizing the gradient-based iterative algorithm to minimize the K-gap between the residual generator and the current system, the parameters of the residual generator can be configured from the online input/output data. Based on this, real-time configuration of the residual generator parameters is achieved and, correspondingly, the fault detection performance is guaranteed. Then, a three-tank system, which is relatively common and important in chemical industrial systems, is studied and explored to verify the effectiveness and superiority of the gradient optimization configuration strategy proposed in this work.

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Devika, K. N., and Bhakthavatchalu Ramesh. "Efficient hardware prototype of ECDSA modules for blockchain applications." TELKOMNIKA (Telecommunication, Computing, Electronics and Control) 19, no. 5 (2021): 1636–47. https://doi.org/10.12928/telkomnika.v19i5.19416.

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This paper concentrates on the hardware implementation of efficient and re- configurable elliptic curve digital signature algorithm (ECDSA) that is suitable for verifying transactions in Blockchain related applications. Despite ECDSA architecture being computationally expensive, the usage of a dedicated stand-alone circuit enables speedy execution of arithmetic operations. The prototype put forth supports N-bit elliptic curve cryptography (ECC) group operations, signature generation and verification over a prime field for any elliptic curve. The research proposes new hardware framework for modular multiplication and modular multiplicative inverse which is adopted for group operations involved in ECDSA. Every hardware design offered are simulated using modelsim register transfer logic (RTL) simulator. Field programmable gate array (FPGA) implementation of var- ious modules within ECDSA circuit is compared with equivalent existing techniques that is both hardware and software based to highlight the superiority of the suggested work. The results showcased prove that the designs implemented are both area and speed efficient with faster execution and less resource utilization while maintaining the same level of security. The suggested ECDSA structure could replace the software equivalent of digital signatures in hardware blockchain to thwart software attacks and to provide better data protection.

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Frank, Xin. "An Effective Task Scheduling Framework for Cloud Computing utilizing NSGA-II." Engineering: An International Journal 2, no. 2 (2020): 12–22. https://doi.org/10.5281/zenodo.3775287.

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Cloud computation is a model for easy on-demand access of the user to host of configurable and changeable computation resources like networks, storage, servers, services, and applications with nominal management of resources or service provider interaction. Task scheduling is regarded as a fundamental issue in cloud computing which aims at distributing the load on the different grids of a distributed system for optimizing response time and resource utilization. In this research, a method for optimization of task scheduling to enhance the cloud’s efficiency is presented. Within the proposed method, three criteria for scheduling in the cloud have been considered which include the task implementation time, the task transfer time and the task implementation cost. In this method, not only the total task time is reduced, but also the maximum time of task implementation will be minimized. In this method, the Multi-objective Non-dominated Sorting Genetic Algorithm (NSGA-II) was utilized. After evaluating the proposed method the total task implementation of 112.46 for, the total task transfer time of 2410 and the total cost of 242.4 were obtained. The findings represent the superiority of the suggested method over Multi-Objective Particle Swarm Optimization.

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Fonseca, Rafaela Mara Silva, Lilian Fernandes Arial Ayres, Luana Cupertino Milagres, Sylvia Do Carmo Castro Franceschini, and Bruno David Henriques. "Demand for assistance in a human milk bank associated with socioeconomic and maternal-child health factors in Viçosa - Minas Gerais." Ciência e Natura 43 (May 18, 2021): e9-43384. http://dx.doi.org/10.5902/2179460x43384.

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The superiority of breast milk over milk of other species is already consolidated and there are numerous benefits in the practice of breastfeeding. The Human Milk Bank is a privileged place for the establishment of breastfeeding, as actions to encourage, support and promote breastfeeding are developed. This is a cross-sectional, retrospective study carried out at the only maternity hospital in the city. The sample consisted of mothers and babies assisted by a lactation support program from 2005 to 2016 and also mothers and babies monitored by the human milk bank. It was observed that the assistance of the milk bank was associated with the type of delivery performed (cesarean) (OR: 2.11; 95% CI: 1.03-4.33), having premature children (gestational age) (OR: 3 , 48; 95% CI: 1.52-7.95), higher education (OR: 1.16; 95% CI: 1.03-1.32) and being younger (age) (OR: 0.94; 95% CI %: 0.88-0.99) were the indicators that increased the mother's chance to seek care from the milk bank, regardless of parity and place of residence. The support, protection and promotion of breastfeeding that is carried out in this place, is configured as an important scenario favoring this practice, impacting on the health of the mother-child binomial in the present and in the future.

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Li, Xiaocong, and Xin Chen. "A Multi-Index Feedback Linearization Control for a Buck-Boost Converter." Energies 14, no. 5 (2021): 1496. http://dx.doi.org/10.3390/en14051496.

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Due to the nonlinear and nonminimum phase characteristics of the buck-boost converter, the design of its controller has always been a challenging problem. In this paper, a multi-index feedback linearization control strategy is proposed to design the controller of the buck-boost converter. Firstly, by constructing an appropriate output function, the original nonlinear system is mapped into a combination of a linear subsystem and a nonlinear subsystem. Then, according to the structural characteristics of these two subsystems, the linear optimal control theory is adopted for the control design of the linear subsystem to make it have a good output performance, while for the nonlinear subsystem, the coefficient of the output function is adjusted to ensure its stability. Finally, based on the Hartman–Grobman theorem, the internal mechanism and coefficient adjustment basis of the proposed method are revealed; that is, by adjusting the coefficient of the output function and the feedback coefficient of the linear control law, the poles of the system are configured to achieve the purpose of adjusting the static and dynamic performance of the system. The simulation results show the feasibility and superiority of using the multi-index feedback linearization control strategy to design the nonlinear control law of the buck-boost converter.

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Lu, Yan, Yan Peng Zhang, and Ye Tian. "Research on Automatic Checking of Protection Functions for Smart Substation." Advanced Materials Research 1028 (September 2014): 200–207. http://dx.doi.org/10.4028/www.scientific.net/amr.1028.200.

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The considerable variability of architecture and function realization of smart substation, which differ from traditional substations, makes the range of protection function check no longer restricted to one device, so it is necessary to carry out thorough monitoring and testing for various inks of functional implementation [1-2]. For this purpose, the automatic checking of protection functions for smart substation is researched, and a scheme for the implementation of the automatic checking is designed [3-4]. By means of adding various checking manners to application software implementation of the devices of protection system for smart substation, the checking and detection of various function implementation links of the protection system are performed, and by use of the expert system based on Dempster-Shafer theory a real-time virtual checking scheme is configured and through real-time analysis on checking information the conclusion of the checking is obtained. The proposed scheme enhances the self-diagnosis and self-monitoring ability of protection system for smart substation and gives full play to the superiority in digital information acquisition and information interaction of digital substation, so it can be used to the checking during on-site commissioning, besides, partial functions can be also used to perform on-line monitoring of protections being operated [5-9].

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Brandão, Ricardo Evangelista. "Entre o amor e a soberba: o conceito de justiça do livro XIX do “Sobre a Cidade de Deus”, como chave de interpretação do amor ao próximo no “Comentário à Primeira Epístola de São João” de Agostinho." Civitas Augustiniana 8, no. 1 (2019): 23–41. http://dx.doi.org/10.21747/civitas/8a2.

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Starting from the concept of justice in Book XIX of De civitate Dei, especially whatjustice is "to give to each one what is his", we will investigate the extent to which the love (dilectio) worked in the Commentary on the First Epistle of St. John can be interpreted as social justice. Considering that this Epistle is one of the hardest texts of the collection of love for the Christian in the New Testament, Augustine understands the consequences of abundance and lack of love in an eminently social way, since through love it is impossible to be insensitive before the misery of social injustice, which makes so many miserable. Thus, vera justitiawould be demonstrated by unconditional love of neighbor, not allowing his neighbor to be in miser. However, this aid, moreover, cannot translate into a constant dependence between the aided and the helper, for when this situation of dependence if it is perpetuated, the aided one naturally will nourish a feeling of superiority before the aided one, and the latter will think himself inferior to that which assists him. Sothat the love demonstrated by true justitiais configured in an emergency to get the poor from misery, and continuous rite, to work so that it acquires autonomy and dignity.

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Gao, Zhenyi, Bin Zhou, Yang Li, et al. "Design and Implementation of an On-Chip Low-Power and High-Flexibility System for Data Acquisition and Processing of an Inertial Measurement Unit." Sensors 20, no. 2 (2020): 462. http://dx.doi.org/10.3390/s20020462.

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For signal processing of a Micro-Electro-Mechanical System (MEMS) Inertial Measurement Unit (IMU), a digital-analog hybrid system-on-chip (SoC) with small area and low power consumption was designed and implemented in this paper. To increase the flexibility of the processing circuit, the designed SoC integrates a low-power processor and supports three startup or debugging modes for different application scenarios. An application-specific computing module and communication interface are designed in the circuit to meet the requirements of IMU signal processing. The configurable clock allows users to dynamically balance computing speed and power consumption in their applications. The chip was taped out under SMIC 180 nm CMOS technology and tested for performance. The results show that the chip’s maximum running frequency is 105 MHz. The total area is 33.94 mm 2 . The dynamic and static power consumption are 0.65 mW/MHz and 0.30 mW/MHz, respectively. When the system clock is 25 MHz, the dynamic and static power consumption of the chip is 76 mW and 66 mW, and the dynamic and static power consumption of the FPGA level are 634 mW and 520 mW. The results verify the superiority of the application specific integrated circuit (ASIC) solution in terms of integration and low power consumption.

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Liu, Lu, Jing Liang, Li Ma, Hailin Zhang, Zheng Li, and Shan Liang. "Gas Pipeline Flow Prediction Model Based on LSTM with Grid Search Parameter Optimization." Processes 11, no. 1 (2022): 63. http://dx.doi.org/10.3390/pr11010063.

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Due to the abundant operation data (e.g., pressure, flow rate, and temperature) for natural gas (NG) gathering pipelines provided by the supervisory control and data acquisition (SCADA) system, the machine-learning-based real-time flow prediction has become a critical solution to enable the identification of the abnormality of pipelines, further to guarantee the safe operation of the pipelines. However, traditional machine-learning-based methods cannot always function well due to the temporal characteristics of the SCADA data often being ignored, resulting from a lack of time memory capability. Therefore, this paper proposes a method to automatically perform the feature mining of flow time series by considering the correlation of flow data at both ends of the pipeline, combined with the long short-term memory (LSTM) network. The current and historical data at both pipeline ends are used as input vectors of the LSTM network to predict the terminal output flow at the next moment. Furthermore, to solve the problem that the parameters of the LSTM model are configured with manual experience, a grid search algorithm (GSA) is introduced to optimize the parameters of the LSTM. Consequently, the effectiveness and superiority of the proposed method are carried out in a real-world NG gathering pipeline.

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Mazin, Rejab Khalil, and A. Mohammed Laith. "Embedded processor system for controllable period-width multichannel pulse width modulation signals." TELKOMNIKA Telecommunication, Computing, Electronics and Control 19, no. 1 (2021): pp. 220~228. https://doi.org/10.12928/TELKOMNIKA.v19i1.16432.

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This paper proposes a sophisticated embedded processor system configured on zynq-xc7z020 field programmable gate array (FPGA) device for generating four channels pulse width modulation signals with variable duty cycles and periods using embedded design techniques. The main advantages of the technique are the high ability to perform a simultaneous control on period and pulse width of the generated signals and a high system design adaptation to choose the number of input/output channels. Controlling the the period and the pulse width is achieved by injecting a digital signal to the designed system to manipulate embedded timers’ operation. Vivado design suite is used to develop the system hard ware in the integrated development environment where the processing unit and peripherals are instantiated and interconnected. A practical aplication program in C language is prepared to make the system act according to the target. The designed system can be used to drive multi-phase D.C to D.C convertors. The system performance is verified by using vivado logic analyzer and chipscope windows. The superiority of the proposed approach over other approaches is that it resulted in a multi-inputs/multi-outputs pulse width modulation system with high controllability on the pulse width and the period that ranges from 15 nsec to 60 sec.  

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Viana, Joseanne, Francisco Cercas, Américo Correia, Rui Dinis, and Pedro Sebastião. "MIMO Relaying UAVs Operating in Public Safety Scenarios." Drones 5, no. 2 (2021): 32. http://dx.doi.org/10.3390/drones5020032.

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Methods to implement communication in natural and humanmade disasters have been widely discussed in the scientific community. Scientists believe that unmanned aerial vehicles (UAVs) relays will play a critical role in 5G public safety communications (PSC) due to their technical superiority. They have several significant advantages: a high degree of mobility, flexibility, exceptional line of sight, and real-time adaptative planning. For instance, cell edge coverage could be extended using relay UAVs. This paper summarizes the sidelink evolution in the 3GPP standardization associated with the usage of the device to device (D2D) techniques that use long term evolution (LTE) communication systems, potential extensions for 5G, and a study on the impact of circular mobility on relay UAVs using the software network simulator 3 (NS3). In this simulation, the transmitted packet percentage was evaluated where the speed of the UAV for users was changed. This paper also examines the multi-input multi-output (MIMO) communication applied to drones and proposes a new trajectory to assist users experiencing unfortunate circumstances. The overall communication is highly dependent on the drone speed and the use of MIMO and suitable antennas may influence overall transmission between users and the UAVs relay. When the UAVs relaying speed was configured at 108 km/h the total transmission rate was reduced to 55% in the group with 6 users allocated to each drone.

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Mossa, Mahmoud A., Olfa Gam, and Nicola Bianchi. "Dynamic Performance Enhancement of a Renewable Energy System for Grid Connection and Stand-Alone Operation with Battery Storage." Energies 15, no. 3 (2022): 1002. http://dx.doi.org/10.3390/en15031002.

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This paper introduces a new formulated control scheme for enhancing the dynamic performance of a wind driven surface permanent magnet synchronous generator. The designed control scheme is based on predictive control theory, in which the shortcomings of previous predictive controllers are avoided. To visualize the effectiveness of the proposed control scheme, the performance of the generator was dynamically evaluated under two different operating regimes: grid connection and standalone operation in which a battery storage system was used to enhance the power delivery to the isolated loads. In addition, a detailed performance comparison between the proposed controller and traditional predictive controllers was carried out. The traditional control topologies used for comparison were the model predictive direct power control, model predictive direct torque control, and model predictive current control. A detailed description of each control scheme is introduced illustrating how it is configured to manage the generator operation. Furthermore, to achieve the optimal exploitation of the wind energy and limit the power in case of exceeding the nominal wind speed, maximum power point tracking and blade pitch angle controls were adopted. A detailed performance comparison effectively outlined the features of each controller, confirming the superiority of the proposed control scheme over other predictive controllers. This fact is illustrated through its simple structure, low ripples, low computation burdens and low current harmonics obtained with the proposed control scheme.

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Lin, Kai, Chuanmin Jia, Xinfeng Zhang, Shanshe Wang, Siwei Ma, and Wen Gao. "NR-CNN: Nested-Residual Guided CNN In-loop Filtering for Video Coding." ACM Transactions on Multimedia Computing, Communications, and Applications 18, no. 4 (2022): 1–22. http://dx.doi.org/10.1145/3502723.

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Recently, deep learning for video coding, such as deep predictive coding, deep transform coding, and deep in-loop filtering, has been an emerging research area. The coding gain of hybrid coding framework could be extensively promoted by the data-driven models. However, previous deep coding tools especially deep in-loop filtering mainly consider the performance improvement while pay less attention to the reliability, usability, and adaptivity of the networks. In this article, a nested-residual guided convolutional neural network (NR-CNN) structure with cascaded global shortcut and configurable residual blocks is proposed for in-loop filtering. By taking advantage of the correlation between different color components, we further extend the NR-CNN by utilizing luminance as textural and structural guidance for chrominance filtering, which significantly improves the filtering performance. To fully exploit the proposed network into codec integration, we subsequently introduce an efficient and adaptive framework consisting of an adaptive granularity optimization and a parallel inference pipeline for deep learning based filtering. The former contributes to the coding performance improvement through an adaptive decision-making based on rate-distortion analysis at various granularities. The latter reduces the running time of network inference. The extensive experimental results show the superiority of the proposed method, achieving 8.2%, 14.9%, and 13.2% BD-rate savings on average under random access (RA) configuration. Meanwhile, the proposed method also obtains better subjective quality.

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Crabtree, John H., and Raoul J. Burchette. "Prospective Comparison of Downward and Lateral Peritoneal Dialysis Catheter Tunnel-Tract and Exit-Site Directions." Peritoneal Dialysis International: Journal of the International Society for Peritoneal Dialysis 26, no. 6 (2006): 677–83. http://dx.doi.org/10.1177/089686080602600612.

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Objective Guidelines for optimal peritoneal dialysis access support both downward and lateral exit-site directions. Numerous clinical reports support the superiority of downward exit sites but none substantiate lateral configurations. Methods This prospective study compared infectious and mechanical complications between 85 catheters with a preformed arcuate bend to produce a downward exit site and 93 catheters with a straight intercuff segment configured to create a lateral exit site. Results Kaplan–Meier survivals were not different for time to first exit-site infection ( p = 0.62), tunnel infection ( p = 0.89), or peritonitis ( p = 0.38) for downward and lateral exit-site directions. Poisson regression showed no differences in rates (episodes/patient-year) of exit-site infection (0.26 vs 0.27, p = 0.86), tunnel infection (0.02 vs 0.03, p = 0.79), peritonitis (0.42 vs 0.43, p = 0.87), or catheter loss (0.06 vs 0.09, p = 0.29) for downward and lateral exit sites. Kaplan–Meier analyses of antibiotic-free intervals for exit-site ( p = 0.94) and peritonitis infections ( p = 0.72) were not different for the two groups. There was one case of catheter tip displacement with flow dysfunction in each group. There were no pericatheter hernias or spontaneous cuff extrusions. Catheter survival between groups was not different ( p = 0.20). Conclusions Catheter types employing downward and lateral tunnel-tract and exit-site configurations produce equivalent outcomes for infectious and mechanical complications.

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Algelany, A. M., and M. A. El-Shorbagy. "Chaotic Enhanced Genetic Algorithm for Solving the Nonlinear System of Equations." Computational Intelligence and Neuroscience 2022 (April 12, 2022): 1–13. http://dx.doi.org/10.1155/2022/1376479.

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Many engineering and scientific models are based on the nonlinear system of equations (NSEs), and their effective solution is critical for development in these domains. NSEs can be modeled as an optimization problem. So, the goal of this paper is to propose an optimization method, to solve the NSEs, which is called a chaotic enhanced genetic algorithm (CEGA). CEGA is a chaotic noise-based genetic algorithm (GA) that improves performance. CEGA will be configured so that it uses a new definition which is chaotic noise to overcome the drawbacks of optimization methods such as lack of diversity of solutions, the imbalance between exploitation and exploration, and slow convergence of the best solution. The goal of chaotic noise is to reduce the number of repeated solutions and iterations to speed up the convergence rate. In the chaotic noise, the chaotic logistic map is utilized since it has been used by numerous researchers and has proven its efficiency in increasing the quality of solutions and providing the best performance. CEGA is tested using many well-known NSEs. The suggested algorithm's results are compared to the original GA to prove the importance of the modifications introduced in CEGA. Promising results were obtained, where CEGA’s average percentage of improvement was about 75.99, indicating that it is quite effective in solving NSEs. Finally, comparing CEGA’s results with previous studies, statistical analysis by Friedman and Wilcoxon’s tests demonstrated its superiority and ability to solve this kind of problem.

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Ghaith, Fawaz Khaled, and Mohammad Hamad Buhamad. "Optimization of Double-Skin Façades for Heating and Cooling in High-Rise Buildings: A Case Study in Kuwait City." Journal of engineering sciences and information technology 8, no. 1 (2024): 89–101. http://dx.doi.org/10.26389/ajsrp.s310124.

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In hot arid climates such as Kuwait, the challenge of heat transfer through building façades has prompted significant debate. Determining the heating and cooling loads of buildings in such environments is crucial to assess their energy efficiency. Objectives: This research was undertaken to gauge the energy efficiency of high-rise buildings outfitted with double facades in Kuwait City, emphasizing their heating and cooling loads. Methods: A parametric computer simulation was employed, utilizing the eQUEST program, to model a prototype of a high-rise building with double facades in Kuwait City. This model was used to quantify the double façade's efficacy in mitigating heating and cooling loads, drawing comparisons with typical glazing buildings in the city. Results: Findings indicate that the total energy consumption for space conditioning in buildings with DSFs was 235 MWh/year for heating and 2,890 MWh/year for cooling, aligning well with the energy conservation program (MEW/R-6/2014) benchmarks in Kuwait. Additionally, when optimally configured with materials like polycarbonate and an optimal cavity width of 50cm, DSFs contributed to a significant reduction in building loads. Specifically, the DSFs constituted 2,900 MWh/year of the total cooling load and 235 MWh/year of the heating load. Conclusion: Our results underscore the potential of double-skin façades in decreasing energy consumption for both heating and cooling purposes, demonstrating their superiority over conventional high-rise building facades in Kuwait City.

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Moretti, Marco, and Manuele Marsili. "Resilienza come apprendimento." PRISMA Economia - Società - Lavoro, no. 2 (October 2020): 58–82. http://dx.doi.org/10.3280/pri2019-002004.

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L'articolo approfondisce il tema della resilienza da un punto di vista interdiscipli-nare, psico-socio-economico, secondo il paradigma sistemico. Dopo una prima distinzione fra la resilienza dei sistemi chiusi e aperti, si delineano due approcci alla resilienza: conservativo e trasformativo. Per mettere ordine tra i vari costrutti di resilienza ed evidenziare quali interrelazioni vi siano tra questi processi sono indagate le modalità di intervento adottate in risposta agli shock e i fattori protettivi che favoriscono la resilienza nonostante le vulnerabilità e, in particolare, il "senso di coerenza". Gli autori, quindi, propongono un modello positivo sistemico basato sull'apprendimento in cui sono delineati quattro livelli di resilienza, di cui quella conservativa e trasformativa sono considerate forme di apprendimento distinte. Viene inoltre individuato un livello superiore, e piuttosto raro, di resilienza trasmutativa o evoluzionaria. Questo modello si propone non solo di raccordare, organizzare e dare senso alle diverse declinazioni del concetto in esame, ma prevede an-che la possibilità di accedere a livelli superiori della scala di resilienza. Quanto pro-posto potrebbe rappresentare uno stimolo ad incentivare la rivalutazione e la riorganizzazione, da parte del policy maker, dei vigenti modelli di governance. A que-sto proposito gli autori ritengono necessarie ulteriori ricerche, in particolare: appro-fondire le diverse modalità di accesso dai livelli inferiori a quelli superiori di resi-lienza, nonché le possibili declinazioni del modello proposto in modelli normativi. Dal momento che le sfide odierne si configurano sempre più come minacce di na-tura globale, esse impongono all'umanità un cambiamento epistemico e lo svilup-po di una resilienza che possa favorire un senso di identità comune basato sulla coscienza della comunità di destino umana.

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Chen, Yaxin, Xin Shen, Guo Zhang, and Zezhong Lu. "Multi-Objective Multi-Satellite Imaging Mission Planning Algorithm for Regional Mapping Based on Deep Reinforcement Learning." Remote Sensing 15, no. 16 (2023): 3932. http://dx.doi.org/10.3390/rs15163932.

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Satellite imaging mission planning is used to optimize satellites to obtain target images efficiently. Many evolutionary algorithms (EAs) have been proposed for satellite mission planning. EAs typically require evolutionary parameters, such as the crossover and mutation rates. The performance of EAs is considerably affected by parameter setting. However, most parameter configuration methods of the current EAs are artificially set and lack the overall consideration of multiple parameters. Thus, parameter configuration becomes suboptimal and EAs cannot be effectively utilized. To obtain satisfactory optimization results, the EA comp ensates by extending the evolutionary generation or improving the evolutionary strategy, but it significantly increases the computational consumption. In this study, a multi-objective learning evolutionary algorithm (MOLEA) was proposed to solve the optimal configuration problem of multiple evolutionary parameters and used to solve effective imaging satellite task planning for region mapping. In the MOLEA, population state encoding provided comprehensive population information on the configuration of evolutionary parameters. The evolutionary parameters of each generation were configured autonomously through deep reinforcement learning (DRL), enabling each generation of parameters to gain the best evolutionary benefits for future evolution. Furthermore, the HV of the multi-objective evolutionary algorithm (MOEA) was used to guide reinforcement learning. The superiority of the proposed MOLEA was verified by comparing the optimization performance, stability, and running time of the MOLEA with existing multi-objective optimization algorithms by using four satellites to image two regions of Hubei and Congo (K). The experimental results showed that the optimization performance of the MOLEA was significantly improved, and better imaging satellite task planning solutions were obtained.

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Miniaci, Gianluca. "From Tenochtitlán to Punt: When People Encounter the Distant and Unknown, a Cognitive Approach." Journal of Egyptian History 13, no. 1-2 (2021): 169–206. http://dx.doi.org/10.1163/18741665-12340066.

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Abstract This article aims to analyse the behavioural response generated by people who came into contact with civilisations and places whose existence was previously unknown or only remotely registered in their collective knowledge. Three major cases have been taken into consideration: a.) the “discovery” of America during the sixteenth century CE when Europeans entered in contact with Aztecs, Cakchiquels, and Andeans; b.) the encounters with the civilisations in Tahiti and Hawaii during the eighteenth century CE, and c.) the ancient Egyptian arrival at Punt during the fifteenth century BCE under the reign of queen Hatshepsut. Although spatially and chronologically separated by thousands of miles and hundreds of years, in all of these cases the “encounterers” (i.e., the ones who were moving towards the unknown or distant and contemporaries who were writing their own history) tended to project a self-perceived supremacy over the encountered people, configured as a spontaneous feeling of their supremacy over the local population (hence a “counterfeit” emic notion). In all the above cases, the “encountering” event gave rise to the creation of an “apotheosis” myth, in which the encounterers were supposed to be seen, and believed in, as “gods coming from the sky.” Applying concepts from the cognitive science to these historical events, the article aims to scrutinize the mental categories that tended to generate such a belief of divine superiority projected in the vision of the Other. Rather than being marginalized as an episodic event, the formation of an apotheosis myth can be interpreted as part of a global process, which emerges in the human mind-frame, solicited by mental processes and in contact with a number of similar external outputs.

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Huynh, Ba-Phuc, Shun-Feng Su, and Yong-Lin Kuo. "Vision/Position Hybrid Control for a Hexa Robot Using Bacterial Foraging Optimization in Real-time Pose Adjustment." Symmetry 12, no. 4 (2020): 564. http://dx.doi.org/10.3390/sym12040564.

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This paper presents a novel architecture of the vision/position hybrid control for a Hexa parallel robot. The 3D vision system is combined with the Proportional-Integral-Derivative (PID) position controller to form a two-level closed-loop controller of the robot. The 3D vision system measures the pose of the end-effector after the PID control. The measurement of the 3D vision system is used as a feedback of the second closed-loop control. The 3D vision system has a simple structure using two fixed symmetric cameras at the top of the robot and four planar colored markers on the surface of the end-effector. The 3D vision system detects and reconstructs the 3D coordinates of colored markers. Based on the distance and coplanarity constraints of the colored markers, the optimization problem is modeled for the real-time adjustment, which is implemented during the operation of the robot to minimize the measurement error of the 3D vision system due to both the initial calibration of the stereo camera and the external noise affecting image processing. The bacterial foraging optimization is appropriately configured to solve the optimization problem. The experiment is performed on a specific Hexa parallel robot to assess the effectiveness and feasibility of the proposed real-time adjustment using the bacterial foraging optimization. The experimental result shows that it has high accuracy and fast computation time although the experiment is conducted on a laptop with an average hardware configuration. An experimental comparison of the performance between the proposed method and another control method is also implemented. The results show the superiority and application potential of the proposed method.

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Journal articles on the topic 'Configural superiority'

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