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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...

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...

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,...

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...

Interest and adjustment to future configurations make STEAM (Science, Technology, Engineering, Arts, Math) learning very in demand in the century this. Value or values given to STEAM education is not can denied is means For develop Skills basics , competence and solving difficulty life real in children...

Language barriers are significant hurdles, affecting global communication, thus impacting sectors like business, tourism, and education. LinguaLeader A language translation app coded on python and streamlit providing a real-time multilingual translation. Google Translation API This app incorporates Google’s...

The mobile internet is a mixture of the high-speed mobile communication network, the new intelligent terminal service, and the customer service support platform. The main development of mobile Internet mobile technology lies in three aspects: mobile terminal equipment technology, HTML5 technology for...

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...

Semi-prepared meal delivery services have been attracting attention in China due to its convenience and affordability. In China this market has great potential, estimated to grow to 516.5 billion yuan by 2023. One of the challenges faced by suppliers in this industry is matching specific meals with customers...

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...

This study is based on the goal setting theory and the theoretical framework of self-efficacy, combined with the questionnaire survey method to design, and construct a running app mechanism of action scale. With 634 as the research object, the model was verified through the SEM data processing technology...

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...

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...

Gresik is a regency in East Java that has the largest industrial area in East Java. With an industrial area of 2326.2 Ha, Gresik Regency is ranked as the first regency with the largest industrial area in East Java. Located on the North Coast of Java, Gresik has great potential for port and trade activities....

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...

This research endeavors to evaluate and scrutinize the ramifications of carbon emission disclosure, green innovation, and green investment on corporate value, with good corporate governance acting as a moderating variable. The primary fo-cus of this study encompasses enterprises functioning within the...

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...

In view of actual requirements for livestock and poultry breeding environment monitoring, an environmental monitoring system based on Internet of Animal Husbandry Things (IoAHT) was introduced in this paper. The environmental monitoring system includes environmental monitoring station, information management...

This study aims to determine the effect of transfer pricing, sales growth and leverage on tax avoidance through profitability as a moderating variable in manufacturing companies listed on the Indonesia Stock Exchange. The population used in this research was 218 manufacturing companies registered on...

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...

The purpose of this research is to examine and analyze how social and environmental disclosure affects firm value, and its interaction with external assurance affects this relationship. Research of this kind is quantitative in nature. The study focused on mining businesses that were listed between 2019...

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,...

As the Covid -19 continues to rage, the number of Internet users is increasing rapidly, which makes it extremely urgent to innovate and develop new media. The organic combination of artificial intelligence and mega data has added interactive video, an innovative form of the video presentation, emphasizing...

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...

Tracer study which is a form of survey to LSP Unesa which organizes competency certificates that have strategic value for the development of higher education. The results of this tracer study activity can be used to evaluate the LSP that provides competency certificates to students. To find out the competencies...

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...

With the development of the socialist market economy, China's listed companies become more and more, the core issue of the development of the company is financial problems. While fast-growing companies, corporate finance will face a variety of challenges. In order to ensure the healthy development of...

In the face of intensifying market competition, department stores are increasingly focused on understanding consumer characteristics and behaviors, as well as evaluating their value. User profiling emerges as a crucial method for comprehending customer needs and preferences, enabling the development...

In this paper, we focus on the need for temperature field analysis of gear transmission, as a important issue related to gear transmission’s reliability. Most of previous studies were based on traditional heat transfer theory, focusing on numerical analysis method, however oil cooling effect has not...

To deal with the two problems in image retrieval, i.e., the small number of query images, the ambiguity of an image - the image consists of many regions with different semantic meaning, in this paper, we proposed a novel method for image retrieval based on Bayesian multi-instance learning using unlabeled...

This paper analyzes the mechanism of non-cavitation tone noise line-spectrum frequency of counter-rotation propeller. The mechanism is interference effect and circumferential harmonics field effect. According to the generalized acoustic analogy equation, the lift and drag which are caused by the mechanism...

The personalized food recommendation systems are crucial for enhancing the user satisfaction by catering their personal diet choice and nutrition needs. The new food recommendation models are discussed in this research using the Nearest Neighbors algorithm to improve accuracy and inclusiveness of meals....

Enhancing privacy and verification of Aadhaar data The collection and handling of personal data is controlled through a structured methodology in a Web-based platform. There are two modes of Aadhaar data registration i. e. OCR based and manual entry where user can enter or enter Aadhaar details securely....