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Topic Review
Tungsten Inert Gas Welding Process of Dissimilar Metals
Special attention is required when joining two materials with distinct chemical, physical and thermal properties in order to make the joint bond robust and rigid. Welded samples employing ER-309L filler wires had a microstructure consisting of a delta ferrite network in an austenite matrix. The tensile strength experimental results revealed that welding current, followed by GFR, was a highly influential parameter on tensile strength. Weld metals had higher hardness and flexural strength than stainless steel and carbon steel base metals. 
  • 941
  • 15 Jul 2022
Topic Review
Shot Peening and Cavitation Peening
Shot peening is a dynamically developing surface treatment used to improve the surface properties modified by tool, impact, microblasting, or shot action.
  • 941
  • 08 Apr 2022
Topic Review
Finite Element Analysis for Studying Knee Osteoarthritis
Osteoarthritis (OA) is a degenerative disease that affects the synovial joints, especially the knee joint, diminishing the ability of patients to perform daily physical activities. Finite element analysis (FEA) has been considered a promising computational method to be developed for knee OA management. The FEA pipeline consists of three well-established phases: pre-processing (to prepare the model), processing (to solve the mathematical problem), and post-processing (to analyze the results). Each of these phases requires extensive expertise to conduct them properly, as there exist several different approaches with selection-specific limitations.
  • 941
  • 10 Feb 2022
Topic Review
F-X (Japan)
The F-X (unofficially called F-3) is a sixth-generation stealth fighter in development for the Japan Air Self-Defense Force (JASDF). It is Japan's first domestically developed stealth fighter jet and will replace the Mitsubishi F-2 by the mid–2030's. Its development is to also bolster the nation's defense industry and potentially enter the international arms market amid Japan's change in defense posture. The F-X has been nicknamed the "Godzilla" fighter owing to its large size, as well as a nod to the popular Kaiju.
  • 940
  • 17 Oct 2022
Topic Review
PV based EV Charging Modelling
Electric vehicles (EVs) are one of a prominent solution for the sustainability issues needing dire attention like global warming, depleting fossil fuel reserves, and greenhouse gas (GHG) emissions. Conversely, EVs are shown to emit higher emissions (measured from source to tailpipe) for the fossil fuel-based countries, which necessitates renewable energy sources (RES) for maximizing EV benefits. EVs can also act as a storage system, to mitigate the challenges associated with RES and to provide the grid with ancillary services, such as voltage regulation, frequency regulation, spinning reserve, etc. For extracting maximum benefits from EVs and minimizing the associated impact on the distribution network, modelling optimal integration of EVs in the network is required.
  • 940
  • 02 Nov 2023
Topic Review
Facial Expression Recognition
Facial expression recognition (FER) is a challenging problem in the fields of pattern recognition and computer vision. The recent success of convolutional neural networks (CNNs) in object detection and object segmentation tasks has shown promise in building an automatic deep CNN-based FER model. However, in real-world scenarios, performance degrades dramatically owing to the great diversity of factors unrelated to facial expressions, and due to a lack of training data plus an intrinsic imbalance in the existing facial emotion datasets. To tackle these problems, this paper not only applies deep transfer learning techniques but also proposes a novel loss function called weighted-cluster loss, which is used during the fine-tuning phase. Specifically, the weighted-cluster loss function simultaneously improves the intra-class compactness and the inter-class separability by learning a class center for each emotion class. It also takes the imbalance in a facial expression dataset into account by giving each emotion class a weight based on its proportion of the total number of images. In addition, a recent, successful deep CNN architecture, pre-trained in the task of face identification with the VGGFace2 database from the Visual Geometry Group at Oxford University, is employed and fine-tuned using the proposed loss function to recognize eight basic facial emotions from the AffectNet database of facial expression, valence, and arousal computing in the wild. Experiments on an AffectNet real-world facial dataset demonstrate that our method outperforms the baseline CNN models that use either weighted-softmax loss or center loss.
  • 940
  • 09 Feb 2021
Topic Review
Constructed Wetlands as a Sustainable Sanitation Solution
The application of nature-based solutions (NBSs) in treating wastewater are treatment wetlands or constructed wetlands (CW). CWs are natural treatment technologies that efficiently treat many different types of wastewater (domestic wastewater, agricultural wastewater, coal drainage wastewater, petroleum refinery wastewater, compost and landfill leachates, fish-pond discharges, industrial wastewater from pulp and paper mills, textile mills, seafood processing). CWs can effectively treat raw wastewater to different levels of treatments and can be used as a primary, secondary, or tertiary treatment. CWs are engineered systems designed to optimize and copy processes found in natural environments thus they are considered as sustainable, environmentally friendly options for wastewater treatment. CWs have low operational and maintenance requirements and have a stable performance with less vulnerability to inflow variation. CWs have proved their ability to treat several types of wastewaters. Several benefits and facts, such as the low construction and operational costs of CWs, low-energy, and less operational requirements, have raised the interests in CWs as a treatment technology. The sustainability of CWs as a sanitation solution (technical, financial, environmental sustainability) is described with a focus on integrating climate change resilience and a circular economic approach to the technical and financial sustainability.
  • 940
  • 22 Nov 2022
Topic Review
Sensors Used in Water Monitoring
Water monitoring sensors in industrial, municipal and environmental monitoring are advancing our understanding of science, aid developments in process automatization and control and support real-time decisions in emergency situations. Sensors are becoming smaller, smarter, increasingly specialized and diversified and cheaper. Advanced deployment platforms now exist to support various monitoring needs together with state-of-the-art power and communication capabilities. For a large percentage of submerged instrumentation, biofouling is the single biggest factor affecting the operation, maintenance and data quality. This increases the cost of ownership to the extent that it is prohibitive to maintain operational sensor networks and infrastructures. In this context, the paper provides a brief overview of biofouling, including the development and properties of biofilms. The state-of-the-art established and emerging antifouling strategies are reviewed and discussed. 
  • 940
  • 24 Feb 2021
Topic Review
Direct Current Distribution System Configurations
The developments in renewable energy installations in buildings have highlighted the potential improvement in energy efficiency provided by direct current (DC) distribution over traditional alternating current (AC) distribution. Despite the progress and optimal efficiency of DC distribution system implementation, there is still no consensus on standardization and regulation. It has been shown that the DC system performance could vary in terms of efficiency depending on load profile, utilized renewable energy sources, and utility grid integration.
  • 940
  • 11 Oct 2022
Topic Review
Sensors Used on Fabric-Handling Robots
Fabric-handling robots could be used by individuals as home-assistive robots. While in most industries, most processes are automated and human workers have either been replaced by robots or work alongside them, fewer changes have occurred in industries that use limp materials, like fabrics, clothes, and garments, than might be expected with today’s technological evolution. Integration of robots in these industries is a relatively demanding and challenging task, mostly because of the natural and mechanical properties of limp materials.
  • 939
  • 11 Feb 2022
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