bluuebunny/crossref_metadata_2025_split huggingface dataset:
Durability properties of ternary blended self-compacting concrete with experimental validation
Authors: Harsha Vardhan Reddy P , Lalitha G 
Published: August 2024

Abstract
The goal of the current research is to better understand how self-compacting concrete (SCC) behaves by adding Alccofine, Silica fume and copper slag. Experiment data is collected in order to better understand the durability qualities of hardened SCC built using sustainable resources and to improve the mix’s effectiveness. In this case, a cement fragment has been restored using alccofine and silica-fume at set percentages of 15% and 20%, respectively. A portion of Fine aggregate is reinstated with copper slag (CS) which is an industrial throw away in percentages (0%,10%,20%,30%,40%). This study is concentrated on determining the durability properties like acid resistance test, half-cell potential test and abrasion resistance test have been carried on M40 graded SCC. Durability properties were studied at regular intervals. The durability experiments were conducted after 56 days curing of specimens. Compared to other mixes, the peak durability resistance was obtained at 30% replacement of CS. Due to aggressive nature of copper slag better resistance was observed to certain extent. Obtained parameters were of considerable limits. The results evince that copper slag is a feasible material which can be utilized in SCC mixes.
Bamboo as A Sustainable Alternative Reinforcement Material: A Review
Authors: Vijaya Gowri T. , Siva Rama Krishna U. , Biradar Sangmesh V 
Published: August 2024

Abstract
The increase of Indian population is in drastic manner, and it is essential to fulfil their basic needs such as food and shelter. It demands more amount of construction materials; further, it causes depletion of resources. In this context, it is necessary to identify new alternative materials against conventional materials to maintain sustainability of resources. Bamboo is one of the alternatives to the steel reinforcement and it is green, renewable, fast growing and eco-friendly material. This paper presents, different types of bamboos available, testing methods, their usage as reinforcement, testing methods for its mechanical properties, comparison between steel reinforcement, and different types of bamboo reinforcements.
Exploring the Impact of Alccofine and Quarry Dust on Compressive and Split Tensile Strength of Concrete
Authors: Prasad Bokka Durga Vara , Sree Kumar K , Suseela K , Rohith P , Purna Chandra Rao P 
Published: August 2024

Abstract
This investigation delves into the creative application of Alccofine—a cutting-edge, microfine substance—along with quarry dust, serving as partial replacements for cement and river sand in concrete blends, aiming to improve both the mechanical attributes and the environmental sustainability of the concrete. Alccofine, recognized for its pozzolanic activity, together with quarry dust—a residual product from the stone crushing process in quarries—were examined for their capability to enhance the strength and longevity of concrete. The experimental approach involved modifying a standard concrete mix formulation by substituting 10% of cement with Alccofine—determined as the most effective proportion based on prior research— and replacing 0%, 5%, 10%, 15%, 20%, 25%, and 30% of river sand with quarry dust. This study aimed to evaluate how these adjustments affect the compressive and split tensile strengths of concrete after curing for 7, 14, and 28 days. The outcomes indicated that concrete blends incorporating Alccofine and quarry dust reached the desired average strength levels after a 28-day curing period, with the combination of 10% Alccofine and 10% quarry dust (A10Q10) showing the most notable enhancement in both early and sustained strength characteristics. This particular mix experienced a minor reduction in compressive strength in comparison to the concrete with only Alccofine (A10), hinting at an ideal equilibrium of the advantages offered by these materials. The study confirms that the synergistic use of Alccofine and quarry dust not only contributes to the development of high-strength, sustainable concrete but also leverages industrial byproducts, thereby enhancing the environmental sustainability of construction practices.
A Study on Partial Replacement of Cement using Natural Zeolite
Authors: Prudhvi E , Reddy Sujatha 
Published: August 2024

Abstract
Because of its superior mechanical and physical qualities, concrete, a composite material, has long been one of the most widely utilized materials in the civil engineering sector. Without a doubt, cement is the component that uses the greatest energy. In addition to being energy-intensive, the manufacture of cement contributes significantly to global CO2 emissions, making up 8% of all greenhouse gas emissions. Concrete’s performance and resilience to harsh environmental stresses are enhanced by the addition of natural zeolite powder to blended cement. Concrete buildings are subject to a multitude of detrimental consequences when exposed to harsh environments, including carbonation, acid attack, ion migration of chloride and sulfate, and so forth. The concrete structure eventually weakens as a result of these exposures, reducing its lifespan. In concrete, pozzolans and supplemental cementitious materials (SCMs)—natural or synthetic—are widely utilized in different proportions to substitute cement as an enhancer ingredient. This study attempts to generate quantitative data and comprehend the performance of concrete at various levels of zeolite replacement and presents an experimental investigation to evaluate the compressive strength and split tensile strength of concrete with Natural zeolite as a partial replacement material. In this work, the pulse velocities and acid attack resistance of concrete that contains natural zeolite as a partial replacement material are measured. There are several ratios in which natural zeolite is utilized instead of cement: 0%, 5%, 10%, 15%, 20%, 25%, and 30%. To get quantitative data and understand the performance of concrete at different levels of natural zeolite replacement, the cubes and cylinders were cast and evaluated after seven and twenty-eight days. The best percentage of replacement of natural zeolite in cement is calculated by performing various tests on the cubes casted with various natural zeolite replacement ratios in concrete.
Investigating the Influence of Glass Fibres on Geopolymer Concrete’s Mechanical Properties
Authors: Maddikera Lokanath Reddy , Maddikera Krishna Reddy 
Published: August 2024

Abstract
The mechanism of the hydrated calcium silicate binder in concrete is linked to the inorganic alumina-silicate binder mechanism in geopolymer concrete. This connection offers advantages such as rapid strength development, superior mechanical and durability properties, and the elimination of the need for water curing. These materials have the potential to serve as sustainable alternatives to regular Portland cement, providing environmental benefits. However, they exhibit a failure pattern akin to brittle solids. To enhance their flexural strength, fiber reinforcement can be employed to overcome this limitation. This study presents the findings of experimental investigations into the mechanical characteristics of both Ordinary Portland Cement Concrete (OPCC) and Geopolymer Concrete (GPC). Twelve mixtures in all, with six GPC and six OPCC mixes and different percentages of glass fibres (0, 0.5, 1, 1.5, 2, and 2.5 by weight fraction of binder), were made. The current paper examines the mechanical properties of glass fiber-infused GPC and OPCC.
Modeling and Analysis of sustainability performance Indicators in spool fabrication industry.
Authors: Kiran Sankar M. S , Gupta Sumit , Luthra Sunil 
Published: August 2024

Abstract
The digitalized sustainability has become an inevitable element in the business strategies of organizations. Despite its huge potential, the implementation is a tedious and complicated task. Regardless of their prominent role in the oil & gas sector, the adaptation of sustainability in the spool fabrication industries is in the embryonic stage due to major impediments like organizational readiness, financial hurdles, lack of awareness and proper education, absence of stakeholder participation and lack of management support. In prior to the adaptation, the status quo of sustainability in the spool fabrication industry is to be assessed. The literature survey elucidated that there exists a dearth of studies pertinent to indicators of digitalized sustainable manufacturing in the spool fabrication industries. The objective of the current study is to assess the sustainability indicators in the spool fabrication business through a thorough examination of the literature and validation by professional opinion. The final list of indicators are accomplished by the expert’s opinion for exclusion of insignificance and inclusion of specific ones. The final list encompasses 9 Environmental indicators, 8 Economic Indicators and 10 Social Indicators which will be beneficial for developing sustainable strategies and serve as guidelines for the implementation of sustainable practices in spool fabrication industry.
Structural Performance of EPS Core Based Cementitious Sandwich Panel under Various Loading Conditions
Authors: Sumala M , Murali Krishna B , Tezeswi T P 
Published: August 2024

Abstract
Sandwich panels have gained a lot of popularity in recent years as engineers seek to replace the heavy, rigid constructions with the light weight structures that permit good energy absorption and deformation values. Expanded Polystyrene (EPS) core based cementitious sandwich composite panels are used as load bearing and non-load bearing panels. This EPS panel is a light weight, thermal efficient and reduces the cost of construction. This panel consists of upper and lower face skin and a core layer is sandwiched between the two face layers. In this paper the material for face skin used is structural plaster and for a core layer the material used is EPS. This paper mainly focus on the structural response of EPS core based cementitious sandwich wall panel based on linear quasi-static simulation in ABAQUS using finite element modelling for the axial and flexure loading. Further the performance is assessed under blast load, the pressure impulse (P-I) curves are developed using MATLAB. P-I curve methodology is used to generate the performance of panel. P-I curve implies that there is a significant damage induced on the wall panel. The sandwich wall panel analyzed as an isolated flexural response dominated structural component can safely resist the blast load.
Enhancing Aircraft Fuel Prediction with LSTM-Attention: Examining Lag Effects Across the Entire Flight
Authors: Ji Binbin , Xu Luqi 
Published: August 2024

Abstract
This research is centered on achieving full-flight fuel consumption fitting using a single model, with a specific focus on emphasizing the potential lag effects in aircraft fuel consumption. The proposed LSTM-Attention model integrates the capabilities of the LSTM network to effectively extract correlation features and sequence features from the data. Simultaneously, the attention mechanism assumes a crucial role in accentuating temporal dependencies and lag effects associated with fuel consumption in distinct flight segments. The parameters of the model undergo meticulous optimization through adjustment experiments. Experimental results demonstrate that compared to traditional models like BPNN, ELMAN, and RNN, the proposed model more efficiently extracts fuel consumption features throughout the entire flight, reducing the average prediction error by 66.5% and improving stability by an average of 38.8%. This model not only contributes to advancing fuel-saving research based on Quick Access Recorder (QAR) data but also holds promise for fault diagnosis applications in aviation.
An improved small signal model of a mos transistor in millimeter wave band considering longitudinal distributed effects
Authors: Xie Minjie , Sun Yabin , Shi Yanling , Li Xiaojin 
Published: August 2024

Abstract
Two kinds of distributed effects may appear in a MOS transistor in high frequencies: the non-quasi-static (NQS) effect along the channel and the longitudinal distributed effect (LDE) along the gate finger, especially with long finger length. The former can be modeled by NQS resistance and has been widely adopted, while the latter has not been accurately accounted for. Therefore, in this paper, we first calculate the two-port Y-parameters of a long gate finger MOS transistor considering LDE, using transmission line equations. Then, based on the distributed Y-parameters, a modified small-signal model is proposed. Finally, the modified model is verified by ADS and TCAD simulations. It is demonstrated that within the range of 0.1 GHz to 10 GHz, the maximum error is less than 1%, and even up to 100 GHz, the error does not exceed 5%. The results manifest that the modified model proposed in this paper is adequate for modeling LDE in high frequencies.
YogurtNet: Enhanced machine learning approach for voltage drop prediction
Authors: Liang Longxi , Xian Yuxiang , Guo Shaoshan , Xie Zhuoming 
Published: August 2024

Abstract
The aim of this study is to design and implement YogurtNet, a machine learning based static voltage drop (IR Drop) prediction system for SoC power networks. The system employs class image processing techniques, unsupervised learning clustering methods and shallow neural network techniques. Important algorithmic components include the Word2Vec algorithm for implementing clustering, which maps instance names into a name coordinate system; the Pix2pix algorithm for transforming 17 channels of raw data into two channels of predicted data; and an in-house developed shallow neural network, YogurtPyramid, which is used to further approximate and optimize the prediction results. Our model is trained on the names, coordinates, power consumption, and resistance of the back-end layout component instances of three mainstream open-source SoCs (RISCY, Zero-riscy, and RISCY-FPU), and successfully predicts the IR Drop data of each on-chip instance. In terms of model execution results, the average execution time is 69.94 seconds and the average MAE value is 5.2784, demonstrating the high accuracy prediction capability of the model.
Endurance characteristics of HZO FeFETs with different interface layers
Authors: Liu Xing , Zhu Hui 
Published: August 2024

Abstract
This paper investigates the endurance characteristics of Hf0.5Zr0.5O2 (HZO) ferroelectric field-effect transistors (FeFETs) with SiO2 and Y2O3 interface layers. FeFETs have emerged as a promising candidate for high-density ferroelectric memory development, featuring advantages like non-destructive readout, non-volatility, and high stability. Despite the advancements in HfO2-based FeFETs, their endurance, a key performance indicator, remains a challenge. We present a detailed study on the effects of program/erase (P/E) cycling on the electrical characteristics of HZO FeFETs with SiO2 and Y2O3 interface layers, highlighting the wake-up and fatigue phenomena observed. Our investigation reveals the intrinsic mechanisms underlying these phenomena and the impact of interface layer material on the endurance behavior of HZO FeFETs.
An adaptive analog front-end for action potential detection
Authors: Li Jiayan , Li Xiaolong , Wang Yike , Cui Xuanming , Liu Xu 
Published: August 2024

Abstract
An analog front-end (AFE) for action potential (AP) detection is presented in this work. The AFE comprises a bandwidth-adjustable preamplifier and an adaptive detector (APD). The bandwidth-adjustable preamplifier contains a capacitively coupled amplifier and a cascaded tunable band-pass filter (BPF) to extract AP signals. The APD comprises a nonlinear energy operator (NEO) and an adaptive threshold detector. The NEO is used to improve the signal-to-noise ratio (SNR) of the action potential and preliminarily distinguish AP signals and background noise. The adaptive threshold detector exploits a current-type variable gain amplifier (VGA) to generate an adaptive threshold. Simulation results show that the bandwidth of the adjustable preamplifier is 300 Hz∼5 kHz, and its gain is 25 dB. When the minimum input SNR is -40 dB and the maximum SNR is -10 dB, the amplitude of the AP signal can be detected as 1.25 mV to 50 mV, and the signal amplitude of the AP signals after preprocessing is 1 mV to 15 mV. The adaptive threshold amplitude ranges from 1 mV to 20 mV. The APD can achieve a detection rate of 99% and an accuracy rate of 99%. The power consumption of the 15.7 μW with the power supply voltage is 1.8 V.
Design and performance analysis of 4H-SiC LDMOS
Authors: Yang Shuaiqiang , Liu Yingkun , Tan Yongliang , Liu Jiajia 
Published: August 2024

Abstract
Integration and miniaturization are the development directions of power electronics in the future. In this paper, SiC-LDMOS is successfully fabricated on a p-type epitaxial layer for high-power integrated circuits. By extracting the transfer characteristics, output characteristics and breakdown characteristics of SiC-LDMOS, the impact of varying drift region parameters and channel length on device performance is investigated. The experimental results show that when the drift region length is 10 μm, the doping concentration is 7×1016 cm-3 and the channel length is 1 μm, SiC-LDMOS exhibits the best comprehensive performance with a breakdown voltage of 1130 V, a specific on-resistance of 14.6 mΩ·cm2 and a figure of merit of 87.4 MW/cm2. Compared with previously reported SiC lateral MOSFETs and SiC-LDMOS, our device exhibits superior performance.
Theoretical and experimental study on a novel gear drive with high transmission efficiency
Authors: Tian Chao , Zhang Luhe , Wang Dongyu , Cheng Liang , Ni Yangyong , Chen Bingkui 
Published: August 2024

Abstract
This paper introduces a novel gear drive characterized by high transmission efficiency. The gear incorporates cubic curves with corresponding tangents defining the normal section tooth profile. The generation principle of this new gear drive is thoroughly established. Utilizing gear meshing theory, key parameters such as the relative motion velocity, normal vector, and meshing equation are derived. Subsequently, the fundamental principle of the conjugate curve is formulated. The methodology for generating the tooth profile is also explored. An efficiency test was conducted on the gear, and the results demonstrate a superior transmission efficiency relative to that of traditional involute gears.
Construction of maritime traffic network based on DBSCAN
Authors: Wu Hanyue 
Published: August 2024

Abstract
Trajectory data is essentially a sequence of spatial points ordered by timestamps, usually with some descriptive information in addition to basic spatiotemporal information. This paper investigates how publicly available Automatic Identification System (AIS) data can be used to analyze maritime traffic and transform it into directed graphs for estimating potential destination points of trajectories. In the maritime field, analyzing and modeling maritime traffic is crucial for vessel safety and efficiency, creating pathways with waypoints and segments, and further forming traffic networks. Our approach incorporates a detailed analysis of the distribution characteristics of different types of navigational points, leading to the adoption of tailored clustering parameters and methods. This differentiation allows for a nuanced understanding of stationary points at docks and anchorages, as well as navigational changes along shipping routes. Using the DBSCAN algorithm, we successfully cluster similar waypoints, considering cluster density and shape without needing to predefine the cluster count.
Research on the impact of train speed on the uplink performance of balise transmission system
Authors: Mu Haoyan , Xu Qing 
Published: August 2024

Abstract
In the CTCS system, the balise plays an important role in supporting the normal operation of trains. Based on this, this article studies the performance of the uplink of the balise transmission system under different speed conditions from three perspectives: theory, simulation, and measurement. Based on an in-depth analysis of the energy and data transmission process between the vehicle antenna and the ground balise, relevant electromagnetic theoretical models such as the input and output characteristics of the balise and the antenna magnetic field distribution are established. An electromagnetic field model of the balise transmission system is established using Maxwell software, and the simulation results are obtained. An experimental environment is built using responder products and the simulation results are analyzed. Methods are explored to improve the adaptability of responder transmission systems under high-speed operating conditions.
Efficiency evaluation and influencing factors of Industrial Internet enabling manufacturing industry
Authors: Liu Xia 
Published: August 2024

Abstract
The industrial Internet is an important support for the transformation and upgrading of the manufacturing industry. In the present work, a non-oriented SBM-DEA super-efficiency model is constructed. It takes Jiangsu Province in China as an example to estimate the efficiency of industrial Internet enabling manufacturing transformation and upgrading and further analyzes the influencing factors of enabling efficiency by using the Tobit model. It shows that the efficiency level of the transformation of the industrial Internet-enabling manufacturing industry varies greatly from place to place, the distribution is unstable, and there is a big contrast with the level of economic development in different places. The number of supporting service institutions, policy support, and the proportion of secondary industry have a significant positive influence on the enabling efficiency of the industrial Internet, while the degree of opening to the outside world has a significant inhibitory effect on the comprehensive efficiency of the industrial Internet.