Use Of Appropriate Parameters Research Articles

Non-Fourier Heat Flux Model for the Magnetohydrodynamic Casson Nanofluid Flow Past a Porous Stretching Sheet using the Akbari-Gangi Method

The Casson fluid flow with porous material in magnetohydrodynamics is examined in this work. Additional semi-analytical results are investigated using the Silver-Water nanofluid. The Akbari-Ganji Method (AGM) is used to solve the semi-analytical Cattaneo-Christov heat flux model after taking thermal radiation into account. With the use of appropriate parameters, such as the relaxation time parameter, Prandtl number, radiation parameter, magnetic parameter, and so on, the normalized shear stress at the wall, temperature profile, and rate of heat flux may be examined. This issue has numerous industrial applications and technical procedures, such as the extrusion of rubber sheets and the manufacture of glass fiber. The main physical application is the discovery that a rise in the thermal relaxation parameter and Prandtl number maintains a constant fluid temperature.

Anomaly Detection for Internet of Things Security Attacks Based on Recent Optimal Federated Deep Learning Model

The mushrooming of IoTs (Internet of Things) and decentralised paradigm in cyber security have attracted a lot of interest from the government, academic, and business sectors in recent years. The use of MLT-assisted techniques in the IoT security arena has attracted a lot of attention in recent years. Many current studies presume that massive training data is readily accessible from IoT devices and transferable to main servers. However, since data is hosted on single servers, security and privacy concerns regarding this data also increase. It is suggested to use decentralised on-device data in OFDL (Optimal Federated Deep Learning) based anomaly detections to proactively identify infiltration in networks for IoTs. The GRUs (Gated Recurrent Units) used in OFDL's training rounds share only learned weights with the main OFDL servers, protecting data integrity on local devices. The model's training costs are reduced by the use of appropriate parameters, which also secures the edge or IoT device. In order to optimise the hyper-parameter environments for the limited OFDL environment, this paper suggests an MSSO (Modified Salp Swarm Optimisation) approach. Additionally, ensembles combine updates from multiple techniques to enhance accuracies. The experimental findings show that this strategy secures user data privacy better than traditional/centralized MLTs and offers the best accuracy rate for attack detection.

Evaluation of accuracy for 18 F-FDG positron emission tomography and computed tomography for detection of lymph node metastasis in canine oral malignant melanoma.

Tumour stage has been demonstrated to have prognostic significance in canine oral malignant melanoma (OMM). Various evaluation techniques of positron emission tomography/computed tomography (PET/CT) have been reported for staging of head-and-neck tumours in people, but canine-specific data are limited, and reports for CT accuracy have been variable. In this prospective study, the head/neck of client-owned dogs with cytologically or histologically diagnosed OMM were imaged with 18 Fluorine-fluorodeoxyglucose (18 F-FDG) PET/ CT. Bilateral mandibular lymphadenectomy was performed for histopathologic assessment. Two evaluation techniques for CT and PET were applied by four independent observers. CT evaluation utilized both a standardized grading scheme and a subjective clinical interpretation. PET evaluation was first performed solely on 18 F-FDG-uptake in lymph nodes compared to background on a truncated scan excluding the oral cavity. Subsequently, the entire head/neck scan and standardized uptake value (SUV) measurements were available. Receiver operating characteristic analysis was performed with histopathology as gold standard. Twelve dogs completed the study and metastatic OMM was identified in six mandibular lymph nodes from five dogs. Of the CT-interpretation techniques, use of clinical grading performed best (sensitivity=83% and specificity=94%). Both PET techniques resulted in 100% sensitivity, but primary tumour site evaluation and use of SUV increased specificity from 78% to 94%. The SUVmax cut-point, 3.3, led to 100% sensitivity and 83% specificity. In this population of dogs, PET appeared to be highly sensitive but at risk of being less specific without use of appropriate parameters and thresholds.

An Assessment of Measures Medical Imaging Personnel Use to Avoid the Breakdown of Diagnostic Radiologic Equipment in Some Health Facilities in Northwest and Southwest Regions of Cameroon

The proper and correct diagnosis of diseases is the primary necessity before the treatment and so sophisticated equipment are needed for better diagnosis. Frequent breakdown of these equipment faced by personnel during service delivery lead to movement of patients to other health facilities, failure to attend to patients for which in case of emergency will lead to death of patients. This was an investigative cross sectional study aimed at assessing measures to avoid equipment breakdown.This study was carried out in some selected health facilities in the North West and South West regions of Cameroon which lasted for 1 month (from the 22ndJanuary to 21st February 2019). Semi-structured questionnaires were designed and used to collect primary data from 20participants in the sampled hospitals. Data collected was analyzed using SPSS (statistical package for social sciences) version 23.0 by the research analyst. The results obtained showed thatout of the 20 participants, (15)75% were males while(5)25% were females. The most represented age group was the 20-30 years age group, and the least represented age group was in the 42-52. The most common cause of equipment breakdown was electrical faults (75%), 45% of participantsdid not carry out quality control programs and the measures to avoid this breakdown was the use of appropriate parameters (80%).Based on results obtained, it was concluded that the major cause of equipment breakdown was electrical faults.

Wood machining properties of Australian plantation-grown Eucalypts

This study assessed the moulding, drilling, turning, sanding, and routing properties of seven plantation-grown hardwood species from southeast Australia to evaluate their potential as a resource for the manufacture of high quality furniture and furnishings. Eucalyptus grandis, Eucalyptus saligna, Corymbia maculata, Eucalyptus camaldulensis, Eucalyptus sideroxylon, Eucalyptus cladocalyx, and Eucalyptus globulus were machined using different tools, and the surface quality obtained was visually graded. A sanding sequence of 100-150 grit produced satisfactory surfaces for furniture manufacturing for most studied species. Usually, a feeding direction against the rotational direction of the tool showed best results and reduced incidence of corner breakout when routing. Overall, high-density plantationgrown Australian hardwood species performed well during machining trials with the use of appropriate parameters and cutting tools allowing overcoming some typical processing difficulties for some species. The data obtained within this study will allow optimising the machining process of plantation-grown wood in Australia and increase value from the current plantation resource.

Reduction of a Vehicle Multibody Dynamic Model Using Homotopy Optimization

Despite the ever-increasing computational power of modern processors, the reduction of complex multibody dynamic models remains an important topic of investigation, particularly for design optimization, sensitivity analysis, parameter identification, and controller tuning tasks, which can require hundreds or thousands of simulations. In this work, we first develop a high-fidelity model of a production sports utility vehicle in Adams/Car. Single-link equivalent kinematic quarter-car (SLEKQ, pronounced “sleek”) models for the front and rear suspensions are then developed in MapleSim. To avoid the computational complexity associated with introducing bushings or kinematic loops, all suspension linkages are lumped into a single unsprung mass at each corner of the vehicle. The SLEKQ models are designed to replicate the kinematic behaviour of a full suspension model using lookup tables or polynomial functions, which are obtained from the high-fidelity Adams model in this work. The predictive capability of each SLEKQ model relies on the use of appropriate parameters for the nonlinear spring and damper, which include the stiffness and damping contributions of the bushings, and the unsprung mass. Homotopy optimization is used to identify the parameters that minimize the difference between the responses of the Adams and MapleSim models. Finally, the SLEKQ models are assembled to construct a reduced 10-degree-of-freedom model of the full vehicle, the dynamic performance of which is validated against that of the high-fidelity Adams model using four-post heave and pitch tests.

Interface Magnetization Effect in Stressed Semimagnetic Heterojunctions

A model of the interface magnetization effect based on magnetic properties of the interface Tamm-like states is continuing to develop. The interface spin-polarized states of the stressed heterojunctions formed from the narrow-gap semimagnetic semiconductors with antiferromagnetic ordering are studied in the framework of the two-band envelope function approximation including far-band corrections. The effect of far-band corrections is shown to be conditioned by the mutual movement of the actual bands of the initial semiconductors, resulting in a change of the energy interval in which the interface states exist. Magnetization is expected when the Fermi level lies in one of the interface bands. By the use of appropriate parameters, the value of the relative interface magnetization is calculated.

INTERFACE MAGNETIZATION EFFECT IN STRESSED SEMIMAGNETIC HETEROJUNCTIONS

A model of the interface magnetization effect based on magnetic properties of the interface Tamm-like states is continuing to develop. The interface spin-polarized states of the stressed heterojunctions formed from the narrow-gap semimagnetic semiconductors with antiferromagnetic ordering are studied in the framework of the two-band envelope function approximation including far-band corrections. The effect of far-band corrections is shown to be conditioned by the mutual movement of the actual bands of the initial semiconductors, resulting in a change of the energy interval in which the interface states exist. Magnetization is expected when the Fermi level lies in one of the interface bands. By the use of appropriate parameters, the value of the relative interface magnetization is calculated.