Systematic Design Methodology Research Articles

METHODOLOGY ASSESSMENT OF THE GATING SYSTEM NUMERICAL DESIGN OF HIGH-PRESSURE DIE CASTING WITH REGARD TO THE MATERIAL APPLICABILITY

High pressure die casting is a precision casting method that comes closest to the ideal effort of directly transforming the base material into a finished product. Casts produced by high pressure die casting are characterized by high quality, even if they are prone to internal inhomogeneity. The internal inhomogeneity of the casts is, among other things, caused by entrainment of air, gases and vapors inside of the gating system by the melt and their entrapment in the melt volume and distribution in the mold cavity, and thus also in the volume of the cast. The primary factor in reducing the gas and vapors entrapment by the melt is the correct design of the gating system. In general, the geometry of the gating system depends on the design of the cross-section of the gate. Calculation of the gate area is not explicitly determined and there are several mathematical formulations for its determination. The submitted article describes the methodology of the gating system design and assessment of selected methods of gate geometry calculations with regard to the subsequently determined volume of the gating system, the utilization of the metal batch per one operation and the size of the necessary machine locking force.

Design Methodology and Economic Impact of Small-Scale HAWT Systems for Urban Distributed Energy Generation

Design Methodology and Economic Impact of Small-Scale HAWT Systems for Urban Distributed Energy Generation

Machine learning‐driven design of dual‐band antennas using PGGAN and enhanced feature mapping

AbstractThis paper presents a systematic antenna design methodology that integrates machine learning, leveraging the progressive growth technique of Progressive Growing of GANs (PGGAN) to generate images of various dual‐band PIFA‐like antenna structures. The process involves using data augmentation methods to generate 4180 antenna samples. In the latent space, the authors employ Latin Hypercube Sampling to maintain diversity and combine it with the Hough Transform to enhance the edge features of the antennas while providing labelling functionality. This labelling method strengthens the relationship between antenna frequency and wavelength characteristics. The paper clearly outlines the design process, starting from the simulation of two types of single‐frequency PIFA‐like antennas (2.45 and 5.2 GHz, respectively) to the completion of PGGAN's generation task, resulting in a novel dual‐band Wi‐Fi PIFA‐like antenna structure. The measurement results of the dual‐band antennas exhibit excellent consistency with the simulation results.

Adapting the Future VET Curriculum in Response to Emerging Challenges: A Model for Evaluating the Impact of AI Integration in VET for Armed Conflicts and Warfare

This article examines the profound implications and the transformative impact of artificial intelligence (AI) on vocational education and training (VET) within military contexts, underscoring the imperative for curriculum reform to address the evolving demands of contemporary warfare. As AI technologies progress, they present both significant opportunities and challenges, reshaping defense strategies and operational frameworks, fundamentally altering defense strategies and operational paradigms. The integration of AI into military applications necessitates a workforce proficient in specialized competencies, including technical expertise in AI ethics, system design, and human-centered methodologies. This paper delineates the essential competencies required for future VET professionals, emphasizing the necessity for ongoing upskilling and reskilling to effectively navigate the ethical and legal complexities associated with AI in military operations. By incorporating and embedding AI education into VET curricula, stakeholders can cultivate a new generation of defense professionals equipped to utilize AI technologies in a responsible and effective manner, ensuring adherence to and compliance with international humanitarian standards while enhancing operational efficacy. The findings highlight the critical role of VET in developing a skilled workforce prepared to confront the dynamic landscape of military technologies driven by AI.

Gysel combiners with high-selectivity filtering characteristics: analysis and design

Abstract This paper provides the details of a novel systematic design methodology for two-way in-phase filtering Gysel splitter/combiner networks with high selectivity, which finds application in high power amplifier modules. It simultaneously realizes a filtering function and a two-way splitter/combiner function. The proposed five-port filtering device, based on the Gysel topology, is transformed into a ring of coupled resonators. A rigorous coupling matrix describing the network is used to synthesize the integrated filtering and combining functions. This general network can be implemented in any of the available filter technologies. In this paper, a few design examples are provided, and a six-pole prototype utilizing compact combline coaxial resonators is demonstrated. The proposed design provides an integrated dual function module, reducing component counts and system complexity. A design was fabricated and tested demonstrating good experimental results.

Analysis and Optimization of Output Low-Pass Filter for Current-Source Single-Phase Grid-Connected PV Inverters

In this study, the design of output low-pass capacitive–inductive (CL) filters is analyzed and optimized for current-source single-phase grid-connected photovoltaic (PV) inverters. Four different CL filter configurations with varying damping resistor placements are examined, evaluating performance concerning the output current’s total harmonic distortion (THD), the power factor (PF), and power losses. High-frequency harmonics are effectively attenuated by a second-order CL filter with the damping resistor placed parallel to the filter inductor. In addition, this filter type achieves the best performance by minimizing power loss. A systematic design methodology using filter normalization techniques allows to determine the optimum filter parameters based on the specified cut-off frequency (500 Hz), power loss (5% of rated power), and target THD (<5%). The analysis, simulations, and experiments show that under various operating conditions, this approach meets the grid connection standards (current THD < 5%, power factor between 0.8 leading and 0.95 lagging) while improving efficiency.

Chatbots Implementation for Students Admision

The growing need for accessible and responsive information services in higher education has highlighted limitations in traditional admission support systems. This study aims to enhance the new student admission process at Universitas Stikubank through the development and implementation of a chatbot based on the RASA framework. The chatbot addresses several key issues: limited availability of staff, the necessity for 24/7 access to information, and the demand for immediate responses to prospective students’ queries. By simulating human interactions, the chatbot provides real-time, accurate information about university programs, admission requirements, campus facilities, and more. The development process involved data collection through interviews, observations, and literature review, followed by a structured methodology for conversation modeling and system design. Testing results indicate that the chatbot effectively supports the admission process, reducing administrative workload and enhancing the applicant experience by offering uninterrupted service. This study demonstrates the potential of chatbot technology to streamline administrative processes and improve service quality in the educational sector, particularly in university admissions.

TRANSFORMING CLOUD COMPUTING DATA SECURITY WITH AN INNOVATIVE VIRTUALIZATION MODEL

This study presented an optimized approach to Data Security Monitoring in Cloud Computing Infrastructure via an Improved Robust Virtualization Model. Malicious activities have continued to become an alarming issue in cloud computing. Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources (networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service-provider interaction. In this work, a new virtualization model for data security monitoring was developed. Structured System Analysis and Design Methodology was adopted and design was achieved with tools such as Dataflow Diagram, Use-Case Diagram, Unified Modelling Language (UML) Diagram, and Sequence Diagram. The study utilized Five Hundred (500) datasets from robust repositories, of which 30% was used for training, while 70% was used for testing. Parameters for analyzing and evaluating the results of both systems encompassed the number of adopted algorithms, the number of adopted technologies, the number of adopted design tools, and the number of tested records. From the performance evaluation, the new system showed better performance than the existing system as it achieved an accuracy rate of 1.07% as compared to the existing system which achieved an accuracy rate of 0.48%. The newly developed model was for fraudulent data detection in cloud computing infrastructure with a special emphasis on financial fraud. This is because; financial frauds are committed against property, involving the unlawful conversion of the ownership of the property to one's personal use and benefit. In addition, the new system was further optimized with a deep neural network and logistic regression technique. This study could be beneficial to anti-corruption agencies, corporate organizations, and researchers with keen interest in the study area.

Novel solar-based cogeneration system: Parabolic trough integrating supercritical Brayton and organic Rankine cycles with membrane distillation

This research addresses advancements towards third-generation concentrated solar power (CSP) systems, highlighting the critical need for improved system efficiency through advanced power cycles and optimized waste heat utilisation. By integrating a direct parabolic trough solar collector (PTSC) with a supercritical CO₂ (sCO₂) Brayton cycle and direct contact membrane distillation (DCMD), coupled with a bottoming organic Rankine cycle (ORC), this study proposed a novel solution for the co-generation of power and clean water. Innovative design and optimisation methodologies for the integrated system were introduced, and a comprehensive mathematical model was developed and validated, facilitating a comparative analysis of various ORC fluids' techno-economic performance. The investigation revealed that under baseline conditions, neopentane and isobutane demonstrated slightly better cycle's net-work, whereas toluene showed significantly higher water production due to the higher mass flow rate of seawater needed, resulting from the lower condenser inlet temperature. Furthermore, parametric analysis revealed that varying ambient temperatures resulted in different optimal fluids, with cyclohexane, n-octane, n-nonane, and n-heptane achieving the highest thermal efficiency of around 36.52% at 10°C. Additionally, this study highlighted substantial exergy destruction in the DCMD desalination process, accounting for 63.12% of the exergy destruction in the bottoming cycle, predominantly at the membrane where approximately 67% occurred. Moreover, the second compression and expansion stages, especially at higher Direct Normal Irradiance (DNI) levels, contributed the most to exergetic destruction in the topping cycle. Significantly, the double cycle showed exergetic efficiency improvements between 0.12% and 0.35% across different DNI levels while in contrast, single cycles demonstrated marginally superior water production capacity. Economic analyses using bare module costing to assess the levelized cost of electricity and water, along with net present value calculations, revealed that varying ambient temperatures resulted in different optimised fluids. Notably, n-octane achieved the highest net present value, approximately 4.53% above baseline conditions, at an ambient temperature of 10°C. Finally, recommendations for organic fluids for each ambient temperature based on techno-economic optimisation were detailed.

Software Optimization and Design Methodology for Low Power Computer Vision Systems

This tutorial paper addresses a low power computer vision system as an example of a growing application domain of neural networks, exploring various technologies developed to enhance accuracy within the resource and performance constraints imposed by the hardware platform. Focused on a given hardware platform and network model, software optimization techniques, including pruning, quantization, low-rank approximation, and parallelization, aim to satisfy resource and performance constraints while minimizing accuracy loss. Due to the interdependence of model compression approaches, their systematic application is crucial, as evidenced by winning solutions in the Lower Power Image Recognition Challenge (LPIRC) of 2017 and 2018. Recognizing the typical heterogeneity of processing elements in contemporary hardware platforms, the effective utilization through parallelizing neural networks emerges as increasingly vital for performance enhancement. The paper advocates for a more impactful strategy—designing a network architecture tailored to a specific hardware platform. For detailed information on each technique, the paper provides corresponding references.

Composite armor philosophy (CAP): Holistic design methodology of multi-layered composite protection systems for armored vehicles

A philosophy for the design of novel, lightweight, multi-layered armor, referred to as Composite Armor Philosophy (CAP), which can adapt to the passive protection of light-, medium-, and heavy-armored vehicles, is presented in this study. CAP can serve as a guiding principle to assist designers in comprehending the distinct roles fulfilled by each component. The CAP proposal comprises four functional layers, organized in a suggested hierarchy of materials. Particularly notable is the inclusion of a ceramic-composite principle, representing an advanced and innovative solution in the field of armor design. This paper showcases real-world defense industry applications, offering case studies that demonstrate the effectiveness of this advanced approach. CAP represents a significant milestone in the history of passive protection, marking an evolutionary leap in the field. This philosophical approach provides designers with a powerful toolset with which to enhance the protection capabilities of military vehicles, making them more resilient and better equipped to meet the challenges of modern warfare.

From Motor Augmentation to Body Enhancement, the Harmony between Human Body and Artificial Parts

Based on the recent study of the Third Thumb at the University of Cambridge, one profound question is arising: Do human beings and the human body need a Third Thumb? This article introduces briefly motor augmentation and human augmentation emerging in decades compared to human enhancement, then focuses on three concerns deriving from the methodology of engineering system design including the relationship of system and part, main function and auxiliary function, and engineering system evolution and human evolution, so as to discuss the coordination between the human body and artificial parts generated by wearable interactive technology employed in motor augmentation.

CFI: a VR motor rehabilitation serious game design framework integrating rehabilitation function and game design principles with an upper limb case

Virtual reality (VR) Rehabilitation holds the potential to address the challenge that patients feel bored and give up long-term rehabilitation training. Despite the introduction of gaming elements by some researchers in rehabilitation training to enhance engagement, there remains a notable lack of in-depth research on VR rehabilitation serious game design methods, particularly the absence of a concrete design framework for VR rehabilitation serious games. Hence, we introduce the Clinical-Function-Interesting (CFI): a VR rehabilitation serious game design framework, harmonizing rehabilitation function and game design theories. The framework initiates with clinic information, defining game functions through the functional decomposition of rehabilitation training. Subsequently, it integrates gaming elements identified through the analysis and comparison of related literature to provide enduring support for long-term training. Furthermore, VR side-effect and enhancement are considered. Building upon this design framework, we have developed an upper limb VR rehabilitation serious game tailored for mild to moderate stroke patients and aligned our framework with another developed VR rehabilitation serious game to validate its practical feasibility. Overall, the proposed design framework offers a systematic VR rehabilitation serious game design methodology for the VR rehabilitation field, assisting developers in more accurately designing VR rehabilitation serious games that are tailored to specific rehabilitation goals.

An Improved Online Genotype Registration System

The genotype registration system aids in the patient's understanding of his genotype's future trends and behavior, enabling management to make informed decisions. The purpose of the design is to provide rapid access to and retrieval of patient data from hospital data warehouses, hence reducing the amount of time lost on such data retrieval. The data mining tool was also made to find hidden patterns that support managerial decision- making. The analysis of the current system, which served as a blueprint for the design of the suggested system, was conducted using structured system analysis and design methodology. A data warehouse for patient information was created using the PHP programming language and mySQL, allowing for the retrieval of said information as needed.

Geometric Design Methodology for Deployable Self-Locking Semicylindrical Structures

Due to their unique bistable characteristics, deployable self-locking structures are suitable for many engineering fields. Without changing the geometrical composition, such structures can be unfolded and locked solely by the elastic deformation of materials. However, their further applications are hampered by the lack of simple and systematic geometric design methodologies that consider arbitrary structural curvature profiles. This paper proposes such a methodology for double-layer semicylindrical grid structures to simplify their cumbersome geometric design. The proposed methodology takes joint sizes into account to ensure that the design results can be applied to actual projects without further adjustments. By introducing symmetry into the structural units (SUs) and selecting reasonable geometric parameters that describe the structural side elevation profile, a concise set of simultaneous nonlinear geometric constraint equations is established, the solution of which provides the geometric parameter values of the grid shape. On this basis, the remaining geometric parameter values, i.e., the geometric parameter values of the inner scissor-like elements (SLEs) of each SU, can be achieved from the equations derived from general SLEs. Design examples and the assembled physical grid structure indicate the feasibility and wide applicability of the proposed geometric design methodology.

Perancangan Sistem Penerimaan Siswa Baru SMK Swasta Yapim Biru-Biru Berbasis Web

The aim of this research is to design a web-based new student admission system at Yapim Biru - Biru Deli Serdang Private Vocational School which can make registration easier so that you don't have to queue at school anymore. With this new system, the service system can be simplified and can print the data of accepted students and registered students, so that the data of accepted students is arranged more neatly and is easier to access. The rapid development of information technology among all fields, especially in the field of school education, uses information technology to facilitate school performance, especially in accepting new students. The system design methodology used in preparing the final report of this practical work uses a descriptive method, namely by conducting research based on the data that has been collected. One of the developments in information technology applications is information systems. Information systems function as collecting, processing, storing, analyzing and disseminating information designed for specific purposes.

Optimization of Aircraft Fuel Systems Considering Fluid Dynamics Principles

The fuel system is the lifeline of any aircraft, pivotal for its operation and future advancements. This study delves into aircraft fuel system design methodologies, aiming to streamline development processes. Through optimization and matrix methods like the morphological matrix, Saab Aerospace pioneer’s conceptual designs. These methods automate development and deepen our understanding of how top-level requirements impact engineering details. Quantifying matrices opens doors to design optimization and probabilistic design. Furthermore, a systematic approach to simulation modeling minimizes development time, leveraging parallel development and collaborative engineering. With stakeholder expectations in mind, experience gleaned from projects like the Gripen fuel system shapes an overarching process for future endeavors. This journey promises to reshape aircraft fuel system design, ensuring each drop of fuel propels us towards boundless horizons. Key Words: Aerospace engineering, Fuel system, Optimization techniques, Matrix methods, Simulation models, Conceptual design, System integration, Aircraft performance, Fuel tank configurations, Operational flexibility, Gripen Fuel, DSM- Design Structure Matrix

Design of Photovoltaic Systems in Industrial Electrical Systems Considering Power Quality

This paper presents a comprehensive design methodology for photovoltaic systems (PVS) integrated into industrial electrical systems (IES), with a specific focus on preserving power quality (PQ). The 10-step methodology, ranging from initial interviews to detailed technical, energy, and economic assessments, is novel for its multi-factorial approach that combines an Excel application with ETAP software, prioritizing considerations for PQ. Evaluation across four scenarios demonstrated varying outcomes. In the worst-case technical and energy scenario, PVS installation on Point of Common Connection without PQ mitigation led to significant increases in harmonics and no reduction in energy consumption. Conversely, the best technical and energy scenario involved distributing PVS across load buses with PQ mitigation, resulting in a 5% reduction in energy consumption and 27% lower energy losses. The economic evaluation indicated a three-year payback period in all scenarios, primarily attributed to increased costs for PQ problem mitigation equipment. It was also observed that reducing losses and energy consumption limits the economic benefits of installing PVS in IES. This methodology serves as a valuable guide for designing PVS in IES, incorporating technical, energy, economic, and PQ considerations.

Surface wave propagation control with locally resonant metasurfaces using topology-optimized resonatorsa).

Locally resonant elastodynamic metasurfaces for suppressing surface waves have gained popularity in recent years, especially because of their potential in low-frequency applications such as seismic barriers. Their design strategy typically involves tailoring geometrical features of local resonators to attain a desired frequency bandgap through extensive dispersion analyses. In this paper, a systematic design methodology is presented to conceive these local resonators using topology optimization, where frequency bandgaps develop by matching multiple antiresonances with predefined target frequencies. The design approach modifies an individual resonator's response to unidirectional harmonic excitations in the in-plane and out-of-plane directions, mimicking the elliptical motion of surface waves. Once an arrangement of optimized resonators composes a locally resonant metasurface, frequency bandgaps appear around the designed antiresonance frequencies. Numerical investigations analyze three case studies, showing that longitudinal-like and flexural-like antiresonances lead to nonoverlapping bandgaps unless both antiresonance modes are combined to generate a single and wider bandgap. Experimental data demonstrate good agreement with the numerical results, validating the proposed design methodology as an effective tool to realize locally resonant metasurfaces by matching multiple antiresonances such that bandgaps generated as a result of in-plane and out-of-plane surface wave motion combine into wider bandgaps.

FPGA approximate logic synthesis through catalog-based AIG-rewriting technique

Due to their run-time reconfigurability, short time-to-market, and lower prototype costs, FPGAs have become increasingly popular since their introduction. They found use in a wide variety of applications, including high-performance computing. However, when compared to ASICs, FPGAs offer lower performance, and they are power-hungry devices with low energy-efficiency. The emergence of Approximate Computing (AxC) represents a significant advancement in terms of enabling technology when applied to FPGA-based computing platforms. It has been effectively exploited in several application fields, achieving significant savings in energy and latency through a selective degradation of the output quality. Nevertheless, a generalized and systematic methodology for FPGA-based circuit design is still lacking. Indeed, most of the methods target ASIC-based systems, and, consequently, they offer minimal advantages or even an increase in resources when synthesized for FPGAs due to the architectural differences between the technologies.In this paper, we attempt to address this shortcoming by introducing our method for designing combinational logic circuits. It is based on and-inverter graph rewriting and multi-objective optimization, aiming for optimal trade-offs between quality of results and hardware overhead. Extensive experimental campaigns empirically prove that both generic logic and arithmetic circuits benefit from this approach.