Search
920 articles for “Performance based design”
-
Research on Adversarial Disturbance Based on Meteorological Time Series Data
Abstract: When the deep learning model is used to predict time series data, it is easy to be adversarially attacked. The time series data is sensitive to the abnormal disturbance and has strict requirements on the disturbance amount. To solve these problems, we propose to generate adversarial time series by adding disturbance terms to the original time series, and design an adversarial attack algorithm based on the importance measure (AAIM in …
Published in Journal of Industrial Safety Engineering · Vol. 9, Issue 3, 2022 · pp. 1–19 Read article
-
AI-Accelerated Development of Gradient Polymer Nanocomposite Thin Films
Abstract: Gradient polymer nanocomposite thin films are an active field of materials research due to the fact that it enables scientists to de-facto regulate the optical, electrical, and mechanical properties of a film by merely altering its composition on a layer-by-layer basis. This type of control opens the gate to the improved flexible electronics, long lasting protective coats, and the new smart gadgets. The problem is, though, that it is a …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 456–469 Read article
-
Polymer Nanocomposites As Emerging Platforms in Pharmaceutical Nanotechnology
Abstract: Nanotechnology allows the handling of materials in the 1–100 nm range, where distinct physicochemical phenomena, including quantum effects and higher surface-to-volume ratio, enable disruptive uses in pharmaceuticals and biomedicine. Significant challenges in solubility, stability and targeted biodistribution of therapeutics can be overcome by incorporating nanostructured polymers and polymer-based composites into drug delivery systems. PLGA nanoparticle and other nanocarriers, such as PLGA micelles, dendrimers, and hydrogels, have revealed promising effects on …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 268–278 Read article
-
Design of Low Noise Transimpedance Amplifier using Multiple Feedback filter Topology
Abstract: This study presents the highly linear and low noise transimpedance amplifier (TIA) based on CMOS inverter as an amplifier within multiple feedback (MPFB) filter topology. Absence of complex analog circuitry and compatibility with widespread digital CMOS processes highlight this TIA topology asthe best choice in signal conditioning chains approaching analog-to-digital converters (ADCs). Special attention has been given to the TIA stability and compensation networks. Using dedicated low-dropout (LDO) regulator, the …
Published in Journal of Electronic Design Technology · Vol. 13, Issue 1, 2022 · pp. 25–30 Read article
-
Designing of GaAs Based Resonant Tunneling Diode and Nano Scale Applications with Considering NEGF
Abstract: Present situation of eletronic area in the world required small devices as well as low power dissipation and ultra high speed application. At this moment the presence of resonant tunneling diode can over come this type of problem and take a big role in nanoscale digital and analog applications.In this researh article is to demonestrated effect of asymmetric barrier with respect to symmetric barrier and digital inverter and THz analog …
Published in Journal of VLSI Design Tools and Technology · Vol. 5, Issue 1, 2015 · pp. 1–18 Read article
-
An Analysis of Machine Learning Models for Early Cardiac Risk Stratification
Abstract: The paper shows an in-depth study of machine learning and artificial intelligence solutions to early cardiac risk stratification which has a crucial necessity because cardiovascular disease (CVD) prediction remains a significant issue that needs to be improved beyond the conventional risk score. Since CVD is the most serious disease killer in the world, claiming 17.9 million deaths every year, there is a strong need to get the most sophisticated predictive …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 2, 2026 Read article
-
Custom-Made Temporomandibular Joint Replacement Design Process
Abstract: AbstractTemporomandibular joint (TMJ) is a joint of small dimensions composed by two components: condyle, the extremity of mandibular bone, and fossa, in the cranial bone. TMJ is one of the most used human joints, because it is used to talk, eat, and breathe, for example. For this reason, TMJ disorder can significantly impair patient's quality of life. So that, it becomes necessary to replace the natural joint with an alloplastic …
Published in Research and Reviews: A Journal of Dentistry · Vol. 13, Issue 3, 2022 · pp. 1–13 Read article
-
Comparison of Compressive Strength, Shear Stress, and Tensile Stress for Load on Column and Load on Foundation Base
Abstract: The structural behavior of reinforced concrete columns and foundation base slabs subjected to axial loading and reactive forces was investigated in this study. The analysis focuses on the effect of upward reactive components generated by concrete resistance in columns and soil pressure beneath foundation bases. Since upward reactions are present in both structural elements, the corresponding lateral loads and resulting stresses were evaluated to verify the adequacy of the proposed …
Published in Journal of Construction Engineering, Technology & Management · Vol. 16, Issue 2, 2026 · pp. 42–50 Read article
-
Performance Analysis of 3T DRAM Using FinFET Based with Leakage Reduction Techniques at 45 nm Technology
Abstract: The proposed area of research is to reduce the power consumption, leakage voltage, leakage current and leakage power of DRAM while maintaining the competitive performance. The Fin FET approach is used in DRAM for high performance. Fin type field effect transistors (Fin FET) are capable substitutes for bulk CMOS at the nano-scale. Fin FET are double gate device. A Fin FET uses an intrinsic body. It greatly suppresses the device-performance …
Published in Journal of VLSI Design Tools and Technology · Vol. 7, Issue 2, 2017 · pp. 28–34 Read article
-
Wear and Tribological Characteristics of Novel Metal Matrix Composites
Abstract: The development of advanced metal matrix composites (MMCs) with enhanced tribological performance has become increasingly important due to the premature failure of critical engineering components operating under severe wear conditions in automotive, aerospace, marine, defense, and power generation systems. Conventional composites such as Copper–Alumina and Aluminium–Silicon Carbide have demonstrated improved mechanical and wear characteristics; however, their widespread application is often limited by issues including particle agglomeration, non-uniform reinforcement distribution, porosity …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1326–1346 Read article
-
Static Structural Analysis and Bridge Modeling Using ANSYS
Abstract: Structural analysis is a crucial discipline within civil engineering that ensures built structures are safe, durable, and capable of performing the functions for which they are intended. This scientific approach is essential for confirming that all safety requirements are met, thereby allowing structures to fulfill their purpose efficiently and economically over their design lifespan. The principles of structural analysis originate from the collaborative efforts of engineers across various domains, all …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 2, 2025 · pp. 27–32 Read article
-
Analysis of Signal Delay in Carbon Nano Tube based Interconnects at 32 nm Technology Node
Abstract: AbstractIn the present world demand for portable devices and high speed processor is rising which brings out a challenging issue of scaling for designers. In this paper, we have presented the effect of copper and CNT based interconnects for different length at 32 nm technology node. The performance of both types of interconnects are analyzed and compared in form of propagation delay. Propagation delay in interconnects between the elements is …
Published in Journal of Microelectronics and Solid State Devices · Vol. 5, Issue 1, 2018 · pp. 20–26 Read article
-
Visual Recognition with Convolutional Neural Networks for Object Detection
Abstract: Various research and development have taken place over the years on computer vision which is a branch of AI. AI disciplines like a vision system is applied in various fields like self-driving cars, face detection by social media apps and law enforcement software’s google lens and so on. The proposed system deals with design and implementation of an efficient way of training a GPU using python libraries to process and …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 2, 2024 · pp. 07–13 Read article
-
Optimization of Process Parameters for ABS, Nylon, Polypropylene Material in Injection Molding Using Taguchi Method
Abstract: The process of plastic injection molding (IMP) itself is a multifarious of time, temperature and pressure variables with a profusion of manufacturing defects that can occur without upright fusion of processing parameters and design components. Ascertaining the reform foremost process parameter settings commentative dominates productivity, quality, and costs of production in the plastic injection molding industry. Most plastic injection molding industries are using trial-and-error method/approximation method, based on experience of …
Published in Trends in Mechanical Engineering & Technology · Vol. 11, Issue 3, 2021 · pp. 1–9 Read article
-
Recent Advances in Polymer-Based Thermal Management Technologies for Hybrid PV/T Solar Desalination Systems: A Critical Review
Abstract: Hybrid photovoltaic-thermal (PV/T) desalination systems are being developed as a new approach that not only generates clean water but also harnesses solar energy. While tremendous progress has been made in terms of design, the thermal management of PV/T desalination systems still poses several problems, such as heat generation, temperature non-uniformity, and inadequate thermal energy storage, all of which adversely affect the efficiency of electricity generation and clean water production. In …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 921–931 Read article
-
Modeling and Performance Analysis of Gallium Arsenide Based P-I-N Solar Cells
Abstract: Current technology has made a lot of inspection and also facing many difficulties for optimizing a solar cell’s efficiency. Many previous works had been done on p-n junction solar cells to achieve the maximum performance. But a few researches show us that the performance of p-i-n solar cell has not yet reached its optimum level. Thus in this paper we concentrate on an analysis of Gallium Arsenide based p-i-n solar …
Published in Journal of Electronic Design Technology · Vol. 6, Issue 2, 2015 · pp. 23–27 Read article
-
Advances in Polymer-Based Nanocomposites for Moisture-Sensitive Applications
Abstract: Polymer-based nanocomposites have emerged as promising materials in sensor technology due to their superior mechanical, electrical, and environmental stability. These advanced materials offer unique advantages, such as enhanced sensitivity, durability, and adaptability to various environmental conditions, making them highly suitable for sensor applications. One of the most significant breakthroughs in this field is the integration of semiconducting nanoparticles (NPs) within a polymer matrix, which has led to remarkable improvements in …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 145–152 Read article
-
Performance Evaluation of DSR, AODV, CGSR based on Average Energy Consumption: A Review
Abstract: AbstractMobile Ad-hoc networks (MANET) have gained lots of attention in researches in recent years, especially in routing protocols due to their dynamic nature. There are number of routing protocols in MANET networks and performance of these routing protocols have been evaluated focusing on metrics such as delay, packet delivery, routing overhead, throughput. However, not much work has been done to evaluate energy aspect of these routing protocols. Design new energy …
Published in Journal of Computer Technology & Applications · Vol. 4, Issue 3, 2013 · pp. 21–27 Read article
-
Evolution of Kinematic and Dynamic Design in Robotic Mechanisms: A Systematic Overview
Abstract: The field of robotics has experienced significant advancements in both kinematic and dynamic design, driven by the growing need for precision, adaptability, and autonomy in mechanical systems. Early robotic mechanisms were predominantly rigid and operated based on simple serial architectures, offering limited degrees of freedom and relying heavily on analytical formulations for motion planning and control. Over time, the demand for greater dexterity and operational versatility led to the development …
Published in Trends in Machine design · Vol. 12, Issue 2, 2025 · pp. 38–43 Read article
-
An Efficient CNN Model for Automated Cotton Leaf
Abstract: Timely and accurate identification of cotton leaf diseases are essential for maintaining healthy crop production and minimizing agricultural losses. Early detection allows farmers to take preventive or corrective measures, reducing the risk of disease spread and improving overall yield. In this study, we propose a Convolutional Neural Network (CNN) based model for the automated classification of cotton leaf diseases using image-based detection techniques. The model is trained on a diverse …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 14, Issue 3, 2025 · pp. 01–10 Read article