Abstract : Elastic Optical Network (EON) is a popular framework for interconnecting data centers, providing a spectrum tailored to bandwidth requirements. Verifying the high stage "Quality of Service (QoS)" for candidate requests following the fault is the main focus in the connection failure scenario. The resilience of a high-speed network is crucial because, as network sizes increase, so does the probability of node and link degradation. Thus, an adaptive method is required to forecast the link deterioration in EON. A unique approach employing hybrid heuristic implementation is suggested to achieve this goal. The required data is obtained and entered into the first stage of the connection failure detection model. The novel method is named as Atrous Spatial Pyramid Pooling – 1 Dimensional Convolution Neural Network with Attention mechanism (ASPP-1DCNN-AM), in which some of the hyper-parameters are tuned by proposing the hybrid algorithm as Iteration-aided Position of Beetle and Barnacles Mating (IPBBM). The model must choose the optimal routing in order to improve communication. Here, the optimal path is identified by using the IPBBM algorithm. Finally, the validation is done using divergent measurements and in contrast with traditional models. Hence, the designed system demonstrates that it achieves the higher detection results to make the data transmission effectively..
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Abstract : The Analytic Hierarchy Process (AHP) is a decision-making tool that can be used to select the best bridge type for a given project based on various factors such as economic, technical, and environmental considerations. In this case, the three bridge types considered are the PCI Girder Bridge, Composite Bridge, and Steel Truss Bridge. The AHP method involves breaking down the decision-making process into a hierarchy of criteria and sub-criteria and then assigning weights to each criterion based on its importance. The final decision is made by comparing the bridge type's weighted scores to determine the best overall choice. Usually, the AHP method is only used for one case for each questionnaire. Using the multiple options for technical and environmental conditions, conditions rent weighted scores are obtained for different cases using one questionnaire. The total possibilities of the alternatives are simulated to get the recommended bridge. This approach allows for systematically and objectively evaluating the various bridge types up to 240 bridge models, considering all relevant factors using the proposed formula..
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Abstract : Since G. Bird introduced Nickel electrodeposition coating in 1837, it has remained a focal point of research. Over the past few decades, attention has shifted towards its distinctive applications and properties in engineering. Electroplated nickel coatings offer numerous advantages over conventional electrolyte coatings, especially in terms of their excellent tribological properties, leading to widespread use in industries such as chemical, automotive, aerospace, and electrical. To further enhance these properties, researchers have incorporated second phase particles like SiC, ZrO2, B4C, TiO2, Al2O3, Si3N4, CeO2, between others, into the electrodeposition process. Studies have demonstrated that the addition of these particles leads to improvements in tribological characteristics. As industries continue to seek new coating materials with superior tribological properties for various applications, this article reviews the tribological advantages of different electrodeposited nickel and chromium (Ni-Cr) nano coatings, considering factors such as bath types and structure..
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Abstract : The demand for athletic footwear has increased significantly, especially in countries like India, and this expansion has been driven by rising per capita income. Addressing the changing nature of the athletic footwear business, this study analyses the design preferences of amateur athletes in the Delhi/NCR area. To meet the changing needs and preferences of athletes, it is essential to comprehend the delicate balance that must be struck between performance, comfort, and design. The increasing popularity of collaborative design methodologies reflects the changing desires of consumers towards customization. The goal of the study is to simplify the complex design of next-generation athletic shoes by highlighting crucial components that appeal to amateur athletes. The research used a questionnaire-based methodology with a focused sample size of 150 people to meet the research objectives. With SPSS, statistical studies were carried out, including hypothesis testing, reliability testing, correlation testing, and multiple iterations. The objective is to improve this demographic's overall performance and satisfaction by designing athletic shoes according to their preferences. This study aims to close the gap between objective characteristics and subjective preferences in sports footwear through a study of design aesthetics and its psychological impact..
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Abstract : CNNs find application across various machine learning tasks, including voice, image, and video processing. With the increasing demand for quicker response times in real-time applications, there's a growing necessity for rapid implementation of CNNs. Nevertheless, the computational demands of the convolutional layer in CNNs result in increased processing delays. Hence, this research aims to develop a streamlined and swift convolution block tailored for the hardware execution of the CNN valid algorithm. The proposed solution uses a optimized Multiplier and Accumulator (MAC) unit that incorporates a modified conventional multiplier Reduction to achieve time optimization. The MAC, crucial to the convolution process, is meticulously optimized for rapidity. This architecture occupies an area of 7654 nm, consumes 154468.306 nw of power, and operates with a timing of 6367.776 ps. Consequently, the proposed architecture excels in power efficiency without compromising on other parameters like area and delay. The MAC architecture is crafted using Verilog, with its code's testbench verified and simulated in Cadence NCSIM, while synthesis is conducted through Cadence's Genus tool..
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