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This paper is aimed at improving the LCA method of carbon emissions on construction. Because when using the LCA method for computing carbon emissions of the construction, low-load operating time and quitting time of construction machinery are calculated as normal operating time. So we collected 30 groups...

This work presents an IP performance evaluation method, based on the Support Vector Machine (SVM). In this work, eight network parameters are collected: CPU utilization of switchboard, utilization of memory, network link-off, delay, delay jitter, bandwidth, bit rate of transmission and bit rate of reception....

Starting with the brief analysis of current utilization of water resources in 13 cities in Jiangsu province, input oriented, this thesis evaluated the changes and differences of production and living water use efficiency among the cities in Jiangsu from 2005 to 2014 based on data envelopment analysis’s...

FIR Filters: Finite Impulse Response (FIR) filters are very important for processing signals because of their stability and linear phase properties. Conventional FIR filters are based on the use of multipliers, which raise hardware complexity, power consumption, and computational delay (particularly...

In the study, floral buds of two varieties of chinese cherry "Bijie 7", "Zunyi 3" were used for chromosome staining as well as karyotype analysis. As the result shows, the chromosome number of cultivated species "Bijie 7" is 32. The karyotype formula is 2n=4x=32=32m, the ratio of chromosome length (L/S)...

The integration of Augmented Intelligence (AI + Human Collaboration) in governance has the potential to revolutionize decision support systems, enhance data-driven public participation, and drive policy innovation. However, existing research remains largely theoretical, lacks empirical validation, and...

Road safety is one of the major concerns of this century, as a lot of injuries occur due to the non -compliance of wearing helmets while riding motorcycles. In response to this, we have decided to design and complete an AI Powered Safety System that attempts to do two things at the same time. This system...

PC/ABS blend is widely used in the vehicle interior, electronic parts and accessories. In this dissertation, fracture crack properties of PC/ABS blend was studied. The specimens were prepared under various injections molding conditions, such as filling time, melting temperature and mold temperature....

Complex q-rung orthopair fuzzy set (CQROFS) contains the grade of supporting and the grade of supporting against in the form of polar coordinates belonging to unit disc in a complex plane and is a proficient technique to address awkward information, although the normal fuzzy number (NFN) examines normal...

In order to investigate the dual effect of initial vacancy concentration and annealing temperature on oxygen clusters′ evolution in RTP-treated silicon wafer during low temperature annealing, an established phase-field model and the optimum design method based on response surface was used to simulated...

In this paper, we introduce the Auto-Annotation LDA models (aaLDA), a statistical model of non-labeled documents. This model generates the annotation of LDA automatically. We derive the annotation of LDA using a k-means methods combined with a pre-processing of the corpus. In this paper, we use aaLDA...

Reference is deixis following the context of the language so that it always changes and appears in various situations and language events, resulting in the meaning of the reference in one lingual unit being different. This study examines the form of person and time deixis and their forms of reference...

In people’s daily life, everyone must have the experience of making a schedule or setting a tomorrow plan. But the fact seldom do people have high efficiency in work or life. Research shows that many artists do not have an extremely accurate timetable of their work or life. But they still have a really...

The purpose of the study was to examine the moderating role of teacher-child conflict in characterizing early mother-child attachment influences on behavior problems in preschool. The study used the data from National Institute of Child Health and Human Development’s (NICHD) Early child Care Research...

Real world communities are being transformed by smart ecosystems through the integration of the Internet of Things (IoT) for real-time community engagement, intelligent data analytics, and public service improvements. This work presents a summary of current trends in IT technologies, security solutions,...

Intelligent wearable using machine learning IoT solutions are developing quickly to track and control healthcare and physical activity. The fog-centric, wireless, real-time smart wearable IoT framework for ubiquitous fitness and health analysis in a smart gym setting isthe primary focus of this study....

With the development of Internet information technology, all aspects of society are in development to digital, information-oriented. Student management system is widely used in Colleges and Universities. Student management system contains a lot of valuable data, and has not been fully excavated. This...

Based on polynomial secret sharing, we construct a robust forward-secure threshold signature schemes. This scheme have the following property: even if more than the threshold number of players are compromised, it is not possible to forge signatures relating to the past. This property is achieved while...

Smart parking systems have become a cornerstone of urban mobility, addressing the increasing demand for efficient parking management. This study proposes an enhanced parking occupancy prediction framework leveraging multi-factor analysis and a hybrid Stacked GRU-LSTM model to deliver accurate real-time...

The price of cryptocurrencies is predicted in this paper based on their intrinsic interrelationship with Bitcoin. The Kaggle dataset is gathered, standardized, collated, and extracted. Convolutional Neural Network (CNN) is compared to other machine learning methods such as Linear Regression and K-Nearest...

"Yellow Emperor Internal Classic" is also called "Nei Jing" and establishes the basic framework for the system of traditional Chinese medicine theory. It plays a decisive role in the Chinese classics. "Nei Jing" takes use of refined language, reflecting the rich cultural flavor, its value and the value...

This work introduces an optimized hardware accelerator for Binary Ring-LWE-based cryptographic operations, designed to improve performance, security, and scalability. The architecture utilizes Carry Look ahead Adders (CLA) for faster modular arithmetic, AND-accumulator logic for efficient multiplication,...

Theoretical line loss calculation is the basis for line loss analysis, and reduce the time of calculating the theoretical line loss can improve the efficiency of the line loss analysis.This paper,aiming at the wasted issue in power transmission,presents a theoretical line loss calculation framework that...

Modern cities are becoming denser and more complex and require innovative resolution pathways for effective decisions and sustainable urbanisation. The integration of Cognitive Digital Twin (CDT) technologies coupled with data-driven smart decision-making and predictive community collaboration opens an...

The flowing condition and the pressure on inner surface of ethylene in the 90°elbow pipe were simulated by means of FLUENT software, on the condition of 4 kinds of fluid density , fluid inlet velocity v, fluid outlet pressure P0, degree curvature k=R/d respectively. The database of elbow pipe pressure...

Objective: A novel Greedy Randomized Adaptive Search Procedure was proposed in this paper to resolve the traveling salesman problem, which is proven to be NP-complete in most cases. Methods: The proposed novel algorithm has two phases. In the first phase the novel algorithm finds an initial solution...

Due to the noise and multi-channel room acoustic environment, practical speech emotion recognition remains an unsolved challenge. In this paper, we first study the fractional spaced blind equalizer for speech preprocessing. The noise interference is effectively removed and more detailed emotional features...

K-means algorithm is a kind of clustering analysis based on partition algorithm, it through constant iteration to clustering, when algorithm converges to an end conditions, and the output iterative process termination clustering results. Because its algorithm is simple, and easy to realize thoughts of...

In transceivers, the main amplifier is the low-noise amplifier. It would be impossible to have a communication system without a low-noise amplifier (LNA). There are several techniques to optimize these LNAs, and they are available in a variety of formats. Achieving a low noise number in the current implementation...

This paper presents a system designed to anticipate the vacancy of seats on buses in real-time using ticket count data. The system uses data about the number of tickets sold to passengers and their destinations to estimate seat availability dynamically. This enables commuters waiting at bus stops to...

The purpose of Research teaching is to train students in learning and capacity of innovation. This paper, based on the Bayes formula, discusses the design and practice of the case under the research-oriented teaching. Combining knowledge, we designed cancer diagnosis, automatic text correction, business...

Spam detection continues to be an important problem in the changing internet ecosystem, especially with the rise of advanced spam techniques and the adaptive changes in spam content. We propose a novel framework for spam detection that leverages the benefits of TF-IDF to efficiently extract features...

With the dramatic increase of available data, the process of data processing should get higher and higher performance. Most researches on k-Nearest Neighbor (kNN) query algorithm are based on the regular partitioning method which is easy to cause the imbalance of load, even influence the overall performance...

A fast depth estimation algorithm based on the K-means image segmentation is proposed in this paper. Traditional global-based depth estimation methods using graph-cuts made good performance on the depth map estimation, however, the time cost is a big problem for real time application. A fast segment-based...

The modern instruction system based on Wechat is widely used to help improving the course instructing efficiency. By using the interact characters of this education system, students can finish their course by themselves. However, how to estimate the course efficiency become more difficult. The clustering...

Bidirectional Reflectance Distribution Function (BRDF) and Bidirectional Texture Function (BTF) are two major methods used to describe the reflectance of light at a surface under different illuminations and different views. However, due to a large number of measurement data, an efficient compression...

In this paper, a method of analysis attention state based on the time series transformed by the improved k nearest neighbour network is proposed. In the proposed method, counting number state EEG signals and closing eyes state EEG signals are constructed into networks by the improved k nearest neighbour...

The development of underground space is vital for urbanization and infrastructure projects. Prior to construction, comprehensive geological exploration is essential to ensure stability and safety. However, acquiring complete and accurate statistical data for project management is challenging, necessitating...

The Cu2-xSe nanopowder was synthesized by the hydrothermal method. The electrical transport properties of Bi1.975Na0.025Ba2Co2Oy + xwt% Cu2Se (x = 0.00, 0.25, 0.50, 0.75, 1.00, 1.25, and 1.50) ceramic samples prepared by the solid-state reaction method were investigated from 300 K to 898 K. The Cu2-xSe...

With the development of the modern society, new energy technology has a great potential to be the new driving force. In order to make full use of the wind energy in the high air, based on CFD method, using the commercial software FLUENT and the standard k- turbulence model, an axial-flow wind turbine...

An accurate prediction of future stock market trends is a bit challenging as it requires a profound understanding of stock technical indicators, including market-dominant factors and inherent process mechanism. However, the significance of better trading decisions for a successful trader inspires researchers...

This work represents the Development and realization on 3-bit Vedic Arithmetic Multiplier anchored in MAC Unit in FinFET Technology. Nowadays for designing any Integrated Circuit, Delay and power should be low to make IC more advantageous. We opted for FinFET Technology because of its advantages over...

The problem of scheduling jobs with sizes on batch machines is considered. Each machine can process several jobs as a batch simultaneously as long as the total size of these jobs does not exceed the capacity of the machine. The processing time of a batch is defined to be the longest processing time of...

Email spam endures to pose a momentous cybersecurity threat by manipulating polymorphism, complication, and multimodal content to detour traditional detection mechanisms. Prevailing rule-based and single-modality-based machine learning methods characterize the limitations in becoming accustomed to budding...

The problem of scheduling multiprocessor tasks in a multi-machine environment is considered. Each machine contains a number of identical processors. Each task requires a number of processors on a single machine for its processing. The objective is to minimize the overall task completion time, i.e. the...

Product Development at Smartfood is considering adding a new low-carbohydrate food product labeled K-Pack to their product line. Hence, the company needs to estimate the product’s profit potential and choose the best marketing strategy. In order to investigate the different factors’ impact on sales,...

K-means algorithm and ant clustering algorithm are all traditional algorithms. The two algorithms can complement each other. The combination of two algorithms will improve clustering’s accuracy and speed up algorithm’ convergence. Tests prove hybrid clustering algorithm is more effective than each above-mentioned...

The last decade have seen tremendous improvement in the development of new image information processing and computational tools based on sparse representation. Today, in the information sciences, computer vision and image process-ing, the development of sparse representation algorithms led to convenient...

This research involves a history teacher at a high school in Manado city who already has an Educator Certificate, with a focus on research problems related to how the efforts of teachers to carry out their roles and functions in history learning during the last two years during the Covid 19 Pandemic....

Importance of Beach Crowd Prediction for proper resource management, safety, and improving beachgoers experience. In this study, we propose a hybrid approach based on feature engineering Random Forest Classifier and outperform the accuracy in predictive in crowd level. Utilizing sophisticated feature...