Low erosion high-energy propellant is one of the research directions to extend the weapon's life and improve the weapon's *** this study,energetic propellants containing different corrosion in-hibitors were de...
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Low erosion high-energy propellant is one of the research directions to extend the weapon's life and improve the weapon's *** this study,energetic propellants containing different corrosion in-hibitors were designed and *** bomb tests and semi-confined bomb experiments were used to investigate the burning and erosion properties of the *** mechanism of erosion-reducing of titanium dioxide(titania,TiO2),talc,and octaphenylsilsesquioxane(OPS)on the propellant was com-paratively *** results show that OPS has the lowest burning rate and the longest burning time,and a minimized loss of fire force,with the best effect of explosion heat *** erosion reduction efficiency of OPS is twice that of TiO2 and *** mechanism analysis shows that the decomposition and heat absorption of OPS can effectively reduce the thermal erosion effect and carbon erosion,and the gas produced can reduce the loss of chamber pressure and form a uniformly distributed nano-SiO2 protective *** solid-state high-efficiency organosilicon erosion inhibitor is an important guide for designing high-energy low-erosion gun propellants.
Braille script serves as a fundamental medium of communication for individuals with visual impairments. However, its interpretation by non-experts poses a significant challenge, hindering inclusivity in education and ...
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Vision impairment is a latent problem that affects numerous people across the *** advancements,particularly the rise of computer processing abilities like Deep Learning(DL)models and emergence of wearables pave a way ...
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Vision impairment is a latent problem that affects numerous people across the *** advancements,particularly the rise of computer processing abilities like Deep Learning(DL)models and emergence of wearables pave a way for assisting visually-impaired *** models developed earlier specifically for visually-impaired people work effectually on single object detection in unconstrained ***,in real-time scenarios,these systems are inconsistent in providing effective guidance for visually-impaired *** addition to object detection,extra information about the location of objects in the scene is essential for visually-impaired *** this in mind,the current research work presents an Efficient Object Detection Model with Audio Assistive System(EODM-AAS)using DL-based YOLO v3 model for visually-impaired *** aim of the research article is to construct a model that can provide a detailed description of the objects around visually-impaired *** presented model involves a DL-based YOLO v3 model for multi-label object ***,the presented model determines the position of object in the scene and finally generates an audio signal to notify the visually-impaired *** order to validate the detection performance of the presented method,a detailed simulation analysis was conducted on four *** simulation results established that the presented model produces effectual outcome over existing methods.
Robots are becoming more prevalent and consequently utilized in numerous fields due to the latest advancements in artificial intelligence. Recent studies have shown promise in the human-robot interaction where non-exp...
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The brain requires O2 and nutrition to keep functioning. It is known that O2 concentration converts the polarity of vessel response near the activated neuron in the hippocampus. However, it remains unclear whether O2 ...
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This paper proposes a genetic algorithm (GA) to address the non-crossing escape routing problem on printed circuit board (PCB) of grid pin arrays (GPA), a critical challenge in modern electronic circuit *** algorithm ...
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Postprandial blood glucose (PPBG) is the glucose level measured after a meal and it is one of the main factors for Type 2 Diabetes Mellitus (T2DM) management. This work aims to predict PPBG level of T2DM patients by a...
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As per the Anti-Phishing Working Group's (APWG) report, there were approximately 4.7 million phishing attacks in the year 2022. A significant portion of these phishing attacks were carried out by alluring unsuspec...
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Fabric defect detection poses a significant challenge in the textile industry due to the intricate shapes and diverse range of fabric defects. Numerous approaches have been suggested to address this issue;however, the...
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Mobile Edge Computing(MEC)is a promising technology that provides on-demand computing and efficient storage services as close to end users as *** an MEC environment,servers are deployed closer to mobile terminals to e...
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Mobile Edge Computing(MEC)is a promising technology that provides on-demand computing and efficient storage services as close to end users as *** an MEC environment,servers are deployed closer to mobile terminals to exploit storage infrastructure,improve content delivery efficiency,and enhance user ***,due to the limited capacity of edge servers,it remains a significant challenge to meet the changing,time-varying,and customized needs for highly diversified content of ***,techniques for caching content at the edge are becoming popular for addressing the above *** is capable of filling the communication gap between the users and content providers while relieving pressure on remote cloud ***,existing static caching strategies are still inefficient in handling the dynamics of the time-varying popularity of content and meeting users’demands for highly diversified entity *** address this challenge,we introduce a novel method for content caching over MEC,i.e.,*** synthesizes a content popularity prediction model,which takes users’stay time and their request traces as inputs,and a deep reinforcement learning model for yielding dynamic caching *** results demonstrate that PRIME,when tested upon the MovieLens 1M dataset for user request patterns and the Shanghai Telecom dataset for user mobility,outperforms its peers in terms of cache hit rates,transmission latency,and system cost.
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