On the applicability of numerical tools for simulating wave-ports close to the cutoff frequency

This paper focuses on a common drawback in electromagnetic numerical computer aided design computer aided design (CAD) tools: high frequency structure simulator (HFSS), computer simulation technology (CST) and FEKO, where the excitation by using a wave-port below and close to the cutoff frequency has unreliable values for the reflection coefficient. An example for such problem is presented in the design of a dual horn antenna fed by two different waveguide sections. To overcome this numerical error in the results of these CAD tools, a tapered waveguide section is used in the simulation as an excitation mechanism to the feeding waveguide. The cross section of the input port at this tapered waveguide section is designed to have a cutoff frequency smaller than the lowest frequency under investigation for the original problem. Then, by extracting the effect of the tapered section from the obtained reflection coefficient, it would be possible to obtain the reflection coefficient of the original problem.

APPLICATION OF CAD FOR ANALYSIS OF STRENGTH CHARACTERISTICS OF PASSENGER CAR BODY STRUCTURES

The development of finite element design models of the passenger car body using modern CAD tools was carried out. An assessment of the strength, stability and fatigue life of the load-bearing structures of the passenger car body has been carried out.

A FUTURE FORETASTE: SHIPBUILDING INDUSTRIAL TENDENCIES

We are living a continuous and fast technology evolution, maybe this evolution goes faster than our capacity to assimilate what we can do with it, but the potential is clear and the future will be for those who identifies the right technology with the right application. The way we work with Computer Aided Design (CAD) tools is also changing thanks to the ubiquitous access to information and the different hardware available to exploit that information: Augmented Reality, Virtual Reality or Mixed Reality. Not only the way we work, but also the way we interact with CAD tools is changing, with technologies like natural language processes that allows direct conversation with the applications. The concepts that are absolutely clear from now to the future in shipbuilding are the use of Data Centric models and the concept of Digital Twin. Both provide a real and effective synchronization between what we design and what we construct, by covering the complete life cycle of the product, thanks to technologies like the Internet of Things (IoT) and Radio Frequency IDentification (RFID). Nowadays it is unimaginable to work without using CAD in shipbuilding: ease of design with design rules embedded, speed of design, and the use and reuse of information. It is expected that in the future CAD tools will advance further and allow greater information management through further improvements. The paper presents several scenarios with improvements likely to occur the next few years. Some of these improvements may seem unrealistic in the short term, but reality often exceeds expectations in any field, and probably more so with technology.

Application of Deep Learning Models for Automated Identification of Parkinson’s Disease: A Review (2011–2021)

Parkinson’s disease (PD) is the second most common neurodegenerative disorder affecting over 6 million people globally. Although there are symptomatic treatments that can increase the survivability of the disease, there are no curative treatments. The prevalence of PD and disability-adjusted life years continue to increase steadily, leading to a growing burden on patients, their families, society and the economy. Dopaminergic medications can significantly slow down the progression of PD when applied during the early stages. However, these treatments often become less effective with the disease progression. Early diagnosis of PD is crucial for immediate interventions so that the patients can remain self-sufficient for the longest period of time possible. Unfortunately, diagnoses are often late, due to factors such as a global shortage of neurologists skilled in early PD diagnosis. Computer-aided diagnostic (CAD) tools, based on artificial intelligence methods, that can perform automated diagnosis of PD, are gaining attention from healthcare services. In this review, we have identified 63 studies published between January 2011 and July 2021, that proposed deep learning models for an automated diagnosis of PD, using various types of modalities like brain analysis (SPECT, PET, MRI and EEG), and motion symptoms (gait, handwriting, speech and EMG). From these studies, we identify the best performing deep learning model reported for each modality and highlight the current limitations that are hindering the adoption of such CAD tools in healthcare. Finally, we propose new directions to further the studies on deep learning in the automated detection of PD, in the hopes of improving the utility, applicability and impact of such tools to improve early detection of PD globally.

CAD Tools and Computing in Architectural and Urban Acoustics

Contemporary architectural and urban planning aims at optimal development of the environment, including in terms of acoustics. As such, support with computer-aided design (CAD) tools is, nowadays, obligatory. The authors present investigation outcomes of three different CAD and computing methods extracted for the study. The scope covers different scales of considerations from architectural acoustics to the urban level, which relates to the standard architect’s commissions field. The described approaches are applicable for both academics and professionals in the broadly understood building industry There were analysed and synthesized experiences from the use of two-dimensional and three-dimensional simulations, computing based on standardized formulas, and an acoustic meter (here: the SVAN 979 for RT60, LAeq measurement). The article concludes with an assessment, which shows possible uses of methods and confirmations of their usability.

Upgrade and Repair of the Instrumentation Equipment on the ISS RS Simulators Using FDM 3D Printing Technology.

The paper presents space simulators (SS), types of instrumentation equipment installed on the workplaces of the space simulators operators (SSOPW), multi-functional display panel (MFDP), computer-aided design (CAD) tools, 3D printing technologies.

What the Shipbuilding Future Holds in Terms of CAD/CAM/CIM Systems

We are living a continuous and fast technology evolution, maybe this evolution goes faster than our capacity to assimilate what we can do with it, but the potential is clear and the future will be for those who identifies the right technology with the right application. In the information era, we are literally swimming in an ocean of structured and not structured data and thanks to the evolution in the Telecommunications technologies, all that information can be used from everywhere. However, information means nothing without the capability to analyze, extract conclusions and learn from it, which is way the technologies like treatment of Big Data and the Artificial Intelligence are crucial. Imagine how these technologies shall allow engaging the design of a part or any concept by applying rules, which will facilitate the design significantly, how the integration of the validation of the structural models by the Classification Societies will be linked directly by cloud applications. Imagine all the benefits of this two simple examples that can be implemented thanks to the potential of these technologies. The way we work with shipbuilding CAD tools is also changing thanks to the ubiquitous access to the information and the different hardware available to explode that information: AR, VR, MR, Smartphones, tablets, etc. Nevertheless, not only the way we work, but also the way we interact with shipbuilding CAD tools is changing, with technologies like natural language processes that allows having a direct conversation with the applications. The concepts that are absolutely clear from now to the future in shipbuilding is the use of Data Centric model and the concept of Digital Twin, a real and effective synchronization between what we design, what we construct, by covering the complete life cycle of the product thanks to technologies like IoT and RFID. This paper tries to explain the importance to understand how the new generations of naval architects and marine engineers are immersed in a technological world in constant and rapid evolution. The way they interacts with this ecosystem will determine the way we should define the new rules of the shipbuilding CAD systems.

Couplinator: A simple computational tool for synthesis of multi-section coupled-line filter based on MPCM-TLM technique

A new simple computational tool is proposed for the synthesis of multi-section coupled-line filters based on combined modified planar circuit method (MPCM) and transmission line method (TLM) analysis, referred to as MPCM-TLM. Due to its fundamentally simple architecture, the presented tool offers significantly faster optimization of coupled-line filters – for exactly the same initial simulation set-up – than other costly commercially-available tools, giving equally reliable results. Validity and accuracy of the proposed tool have been verified through the design of 3rd, 5th, and 7th order coupled-line filters and comparative analysis between results obtained from the proposed approach and the high-frequency structure simulator. A remarkable 99% time reduction in the analysis is recorded in the case of 7th order filter using the proposed tool, for almost identical results to HFSS. Therefore, it can be confidently claimed that the proposed technique can be used as a reliable alternative to existing complex, costly, processor-intensive CAD tools.