A load balancing package on distributed memory systems and its application to particle-particle particle-mesh (P3M) methods

We present a tool, Bisect, for balanced decomposition of spatial domains. In addition to applying a nested bisection algorithm to determine the boundaries of each subdomain, Bisect replicates a user specified zone along the boundaries of the subdomain in order to minimize future interactions between subdomains. Results of running the tool on the Cray T3D system using both shared memory operations and MPI communications are reported and discussed. In addition, Bisect is used in a parallel implementation of a particle-particle/particle-mesh (P3M) simulation program on the Cray T3D system. The performance of the P3M program with different load-balancing criteria is evaluated and compared. The results show that the use of the Bisect package balances the load efficiently and minimizes communication on the T3D massively parallel system.     

An LSTM-based novel near-real-time multiclass network intrusion detection system for complex cloud environments

The Internet is connected with everyone for sharing and monitoring digital information. However, securing network resources from malicious activities is critical for several applications. Numerous studies have recently used deep learning-based models in detecting intrusions and received relatively robust recognition outcomes. Nevertheless, most investigations have operated old datasets, so they could not detect the most delinquent attack information. Therefore, the current research proposes the long short-term memory (LSTM)-based near real-time multiclass network intrusion detection system (NIDS) utilizing complex cloud CSE-CICIDSS2018 datasets to secure and detect the network anomalous. The proposed strategy utilizes a random forest algorithm for dimensionality reduction and feature selection. In addition, the selected best suitable features were used in a deep learning-based LSTM model developed for detecting network intrusions. The experimental outcomes reveal that the presented LSTM model obtained 99.66% testing accuracy with 0.12% loss. Thus, the suggested approach can detect network intrusions with the highest precision and lowest rate over the earlier designs.     

Characterization of silver vanadium oxide cathode material by high-resolution electron microscopy

The nature of the discharge reaction of lithium/silver vanadium oxide batteries was investigated. The lithiation of silver vanadium oxide, which has the formula Ag_2−yV₄O₁₁, proceeds by a multistep reaction, as indicated by the open-circuit voltage curve. The first step in the discharge reaction involves reduction of silver and separation of the oxide into two phases of differing composition. Electron diffraction of lithiated materials of various compositions suggests that the layered structure of the oxide is maintained, but with an increased amount of stacking disorder. High-resolution electron micrographs of lithiated Ag_2−yV₄O₁₁ at atomic resolution could not be obtained because of sample decomposition in the electron beam.     

A new strategy: A more valid determination of the nonlinear optical parameters for optoelectronic applications

Journal of Computational Electronics - This work is an attempt to discuss and suggest a new semiempirical approach, which may help in determining the nonlinear optical parameters based on the value...     

Dynamics of the accommodative response and facility with dual-focus soft contact lenses for myopia control

ObjectiveTo assess the impact of using dual-focus soft contact lenses for myopia control on the dynamics of the accommodative response and facility.Methods24 young adult myopes were fitted with dual-focus soft contact lenses for myopia control (MiSight®) and single-vision soft contact lenses (Proclear®). The WAM-5500 open-field autorefractor was used to measure the dynamics of the accommodative response (magnitude and variability) in binocular conditions, with accommodative data being gathered from the dominant eye, at three viewing distances (500 cm, 40 cm, and 20 cm) during 90 s. Also, the binocular accommodative facility was assessed with the WAM-5500 autorefractor. All participants performed the same experimental protocol with the dual-focus (MiSight) and single-vision (Proclear) soft contact lenses, with both experimental sessions being carried in two different days and following a counterbalanced order.ResultsThis study showed greater lags of accommodation with the MiSight than the Proclear lenses at near distances (40 cm: 1.27 ± 0.77 vs. 0.68 ± 0.37 D, corrected p-value = 0.002, Cohen-d = 0.90; and 20 cm: 1.47 ± 0.84 vs. 1.01 ± 0.52 D, corrected p-value = 0.007, Cohen-d = 0.75), whereas a higher variability of accommodation was observed with the dual-focus than the single-vision lenses at 500 cm (0.53 ± 0.11 vs. 0.23 ± 0.10 D), 40 cm (0.82 ± 0.31 vs. 0.68 ± 0.37 D), and 20 cm (1.50 ± 0.56 vs. 1.15 ± 0.39 D) (corrected p-value < 0.001 in all cases, and Cohen-ds = 0.67–2.33). Also, a worse quantitative (27.75 ± 8.79 vs. 34.29 ± 10.08 cycles per minute, p = 0.029, Cohen-d = 0.48) and qualitative (23.68 ± 7.12 vs. 28.43 ± 7.97 score, p = 0.039, Cohen-d = 0.45) performance was observed with the MiSight when compared to the Proclear lenses.ConclusionsThe use of dual-focus soft contact lenses for myopia control alters the dynamics of accommodative response and facility in the short-term. Although this optical design has demonstrated its effectiveness for myopia control, eye care specialists should be aware of the acute effects of these lenses on accommodation performance.     

Development and activity enhancement of zirconium/vanadium oxides as micro-heterogeneous ceramic electrocatalyst for ORR in low temperature fuel cell

A porous nano-metal oxide composite consisting of zirconium oxide and vanadium oxide (ZrVNPs) was prepared using precipitation hydrothermal technique, followed by microwave sintering process in order to enhance the catalytic activity toward oxygen reduction reaction (ORR) which is a key reaction in the development of low-temperature fuel cell technology. Microwave sintering process conditions were optimized using response surface methodology models (RSM) and the optimized produced material was called ZrV-T. The physiochemical and electrochemical activities of the fabricated materials were investigated and the results elucidated that, the catalytic efficiency of prepared samples is influenced by morphology, lattice structure, and porosity, as well as metal–support interactions and interfacial structural changes that affect oxygen molecules adsorption and activation. The thermally treated composite (ZrV-T) exhibits higher oxygen reduction performance than the non-sintered material (ZrVNPs). Both materials have different half-wave potentials (E1/2 = ?0.36 V) and (E1/2 = ?0.29 V) for ZrVNPs and ZrV-T respectively. In addition, ZrV-T has a higher stability than the Pt/C catalyst in 0.1 M KOH solution by 4% after 120 min. Using ZrV-T is likely to reduce costs in FCs and promote the use of electrochemical energy devices and it may also be beneficial in other systems that promote catalytic activity.     

Joint power allocation and channel assignment for device-to-device communication using the Hungarian model and enhanced hybrid Red Fox-Harris Hawks Optimization

Multihop device-to-device (D2D) communication is a promising advancement since it allows wireless users in close proximity to communicate directly with one another without using base stations (BSs). With two nearby users, this technology intends to keep up with the accelerating development of mobile devices and the rising demands of local traffic loads. High-data-rate short-range transmission is made possible by this paradigm, which also lowers network backhaul expenses while improving end-user experience, spectral efficiency (SE) and network coverage. In order to maximize the cell's overall sum rates, this article examines the problem of selecting the optimal M-D2D linkages and cellular users (CUs) to form spectrum-sharing partners while taking quality of service (QoS) and energy efficiency (EE) needs into consideration. This study examines the use of a channel assignment system and a power allocation technique to manage interference in D2D communication scenarios involving many hops (more than one hop). The suggested channel assignment approach is based on the Hungarian method, but the power allocation system is based on the time-efficient enhanced Harris hawks optimization (HHO) and red fox (RF) algorithms. A genetic algorithm (GA)-based methodology and various baseline approaches are used to compare the effectiveness of the suggested system. Because it combines exploitation and exploration using a memory-based local search methodology and a perturbation mechanism, the suggested approach outperforms the GA in simulations. The results clearly demonstrate that the suggested method increases EE by up to 13% by producing the appropriate channel and power assignment for CUs and M-D2D users.