Reviewerly/exHarmony huggingface dataset:
Machine learning based ai generated sign language translator

In this paper, we present a word level symbology language recognition.We aim for a solution with low computational cost, as we see great potential in using such an identification system on Handset.There are a large number of people in the world with hearing loss.Sign language is a visual language used by deaf people as their mother tongue.They often miss opportunities that the average person has, be it communication or even participation webinars and online courses.Ordinary people find learning signs a tedious task language to communicate with them.Therefore, our project aims to create an online website app for students of a specially adapted deaf school to learn new skills from teachers people who have not yet learned to communicate in sign language.This application allows the teacher, attends classes in a normal way like a normal person.Design is based on translating audio or text input into sign language output.Here we are building an online app as a meeting station where teachers meet deaf students and communicate with them without using sign language, but as they would talk with normal students.The communication process is divided into two parts, namely the conversion of sounds into sign language and convert sign language to audio/text.
FORTE: Few Samples for Recognizing Hand Gestures with a Smartphone-attached Radar

Radar sensing technologies offer several advantages over other gesture input modalities, such as the ability to reliably sense human movements, a reasonable deployment cost, insensitivity to ambient conditions such as light, temperature, and the ability to preserve anonymity. These advantages come at the price of high processing complexity mainly due to the spatio-temporal variations of gesture articulation performed by different people. Deep learning methods, such as CNN-LSTM and 3D CNN-LSTM, have a high potential to recognize radar-based gestures but usually require hundreds or thousands of labeled training samples and high processing power. Asking a lot of people to acquire a lot of gestures is particularly tedious and tiring to the point of being unrealistic. To overcome these challenges, we propose FORTE, a hand gesture recognition with few samples based on an optimized CNN architecture working on pre-processed raw data. Using a k=5-fold cross-validation, we define and compare three alternative CNNs for recognizing hand gestures acquired in a semi-mobile context of use with a portable radar attached to a smartphone. The best CNN reaches an accuracy of 94.96% with a precision of 95.92% and a recall of 96.03% for a dataset composed of solely 5 participants producing 2 samples for 20 classes covering 1 pointing, 2 pantomimic, 3 iconic, and 14 semaphoric gestures. We suggest some implications for designing radar-based gestures and we discuss the limitations of this approach.
Electric Wheel Chair Controlled Through Voice Command Using Arduino and Bluetooth Module

The main objective of this project is to help the movement of disable people or handicapped and also the elder people who are not able to move well. The result of this design will allow the special people to live a life with less dependence on othersThe proposed system describes the design of a smart, motorized and voice-controlled wheelchair using an embedded system. The system design depicts the “Smart Wheelchair” that supports voice activation system for physically disabled and old aged people by incorporating voice commands which would control the movement of the wheelchair. The voice command is given through a cellular device such as cell phone having Bluetooth and the command is transferred and converted to the string for Arduino and is transferred to the Bluetooth Module HC-05 connected to the Arduino board for the control of the Wheelchair. When the user says “Go” the chair will move in the forward direction, the chair would move in the backward direction for “Back” and similarly “Left”, “Right” for rotating it in left and right directions respectively and “Stop” to stop the wheelchair. This system is designed and developed to save cost, time, energy and dependence on the others for the movements of wheelchair-using physically handicapped person.
KECERDASAN LINGUISTIK PADA BUKU PEMBELAJARAN TEMATIK KELAS 1 KURIKULUM 2013

The background of this study departs from the fact that learning activities carried out in schools in Indonesia in general have not been able to determine the appropriate learning methods for students. One solution is to determine the right learning method by knowing the concept of Linguistic intelligence in Core Competencies and Basic Competencies. This study aims to describe the concept of linguistic intelligence in Thematic class 1 learning book 2013 curriculum based on Core and Basic Competencies, and to know Linguistic Intelligence in Thematic learning book class 1 curriculum 2013. Research data is sourced from library data because this research is a Library Research. There are two kinds of data sources, namely primary data and secondary data. Primary data is 2013 Curriculum Thematic Class 1 subjects. Secondary data is in the form of books that talk about intelligence ever written by experts, can be magazines, journals, papers, internet and so on that have relevance to the title of the research. Data analysis uses descriptive qualitative analysis. The results showed that in the 2013 curriculum in thematic learning class 1 contained Linguistic intelligence based on the applicable curriculum in accordance with the core competencies and basic competencies to be achieved. In the Thematic learning book class 1 curriculum 2013 there is linguistic intelligence based on learning activities.
Correlation properties of interleaved Legendre sequences and Ding-Helleseth-Lam sequences

&lt;abstract&gt;&lt;p&gt;Sequences with optimal autocorrelation properties play an important role in wireless communication, radar and cryptography. Interleaving is a very important method in constructing the optimal autocorrelation sequence. Tang and Gong gave three different constructions of interleaved sequences (generalized GMW sequences, twin prime sequences and Legendre sequences). Su et al. constructed a series of sequences with optimal autocorrelation magnitude via interleaving Ding-Helleseth-Lam sequences. In this paper we further study the correlation properties of interleaved Legendre sequences and Ding-Helleseth-Lam sequences.&lt;/p&gt;&lt;/abstract&gt;
Phase sensitivity and entanglement of superposition coherent states in Mach–Zehnder interferometer

In this paper, we mainly focus on analyzing the fidelity, parity measurement, phase sensitivity and entanglement properties of the output states corresponding to three quantum superposition coherent states, i.e. even coherent state (ECS), Yurke-Stoler state (YSS) and odd coherent state (OCS). Our results show that the OCS characterizes super-resolution in the phase measurement via parity measurement at the output ports of a Mach–Zehnder interferometer. In addition, we find that the optimal phase sensitivity may approach the Heisenberg limit which is independent of the superposition coefficient of the coherent states. An interesting finding is that the macroscopically entangled coherent states can be experimentally prepared by adjusting the parameters of the nonlinear phase shifter of the MZI.
Innovation in the Training Mode of Accounting Professionals in Colleges and Universities Based on Intelligent Finance

It is very important to innovate the talent training mode in the accounting major of colleges and universities, which not only conforms to the financial innovation in the era of intelligent sharing, but also can promote the improvement of students' comprehensive quality.However, from the current situation, the traditional training of accounting professionals in colleges and universities is still based on theoretical teaching, and the training mode needs to be constantly optimized.For this reason, this paper has done some research on the training mode of accounting professionals in colleges and universities based on intelligent finance, and put forward effective strategies to innovate the talent training mode and comply with the development of the Internet era.
Customer Engagement and Perceptions: Analyzing the Impact on Buying Behavior in the Residential Real Estate Market of Mohali

This study investigates the role of customer perception and buying behavior in the growth of the residential real estate market in Tri city, Chandigarh, with a specific focus on Mohali.In order to collect primary information from individuals interested in purchasing and investing in the real estate industry, the researcher employs a survey method.The study area yields a total of 253 samples, which are then subjected to analysis utilizing a range of statistical tools such as cluster analysis, percentage analysis, mean-based ranking, discriminant analysis and descriptive statistics.These analytical techniques provide valuable insights and enable a comprehensive examination of the data collected.The results of the study reveal that three dominant dimensions significantly determine the purchase of real estate: Financial consideration factor, Lifestyle consideration factor, and development factor.These dimensions reflect the key factors that influence customers' decision-making process when it comes to investing in residential properties.The study highlights that the real estate industry not only offers potential buyers' higher earnings but also contributes to better investment decisions and economic growth in the country.The results of this research provide valuable insights into the factors influencing customers' perception and buying behavior, which can be utilized by real estate developers, marketers, and policymakers to enhance the residential real estate market in Mohali and similar regions.
To Study Different Types Of Machine Learning Algorithm For Gesture Recognition

Currently computer vision has reached its zenith, where a computer can identify its proprietor using a simple program of image processing.In this development, people are using this vision in numerous situation of day to day life, like Face Recognition, Color discovery, Automatic auto, etc.In this design, computer vision is used in creating an optic mouse and keyboard using hand gestures.The camera of the computer will read the image of different gestures performed by a person's hand and according to the movement of the gestures the Mouse or the cursor of the computer will move, indeed perform right and left clicks using different gestures.also, the keyboard functions may be used with some different gestures, like using one cutlet gesture for ABC elect and four-figure gesture to swipe left and right.It'll act as a virtual mouse and keyboard with no line or external bias.The only tackle aspect of the design is a web-cam and the coding is done on python using Anaconda platform.Then the Convex housing blights are first generated and also using the disfigurement computations an algorithm is generated and mapping the mouse and keyboard functions with the blights.Mapping a couple of them with the mouse and keyboard, the computer will understand the gesture shown by the stoner and act consequently.
E-Voting System using Blockchain with Adhar Authentication

E-voting, or electronic voting, has emerged as a potential solution to modernize and streamline the voting process.However, concerns related to security, transparency, and trust have posed significant challenges in implementing secure and reliable e-voting systems.This abstract focuses on the concept of e-voting using blockchain technology, which offers inherent features of decentralization, immutability, and transparency.The integration of blockchain technology into e-voting systems aims to enhance the security, integrity, and auditability of the voting process.By leveraging blockchain's distributed ledger technology, the e-voting system can provide a tamper-resistant and transparent platform for casting and counting votes.Each vote is recorded as a transaction on the blockchain, ensuring immutability and traceability.Smart contracts can be utilized to enforce the voting rules and automate the tallying process, eliminating the need for manual intervention and reducing the potential for errors or fraud.The benefits of blockchain-based e-voting systems include increased transparency, verifiability, and trust in the voting process.Voters can independently verify their votes and ensure that they are accurately recorded and counted.Additionally, the decentralized nature of the blockchain eliminates the reliance on a single central authority, reducing the risk of manipulation or interference.
ARTIFICIAL INTELLIGENCE -BASED VOICE ASSISTANT

Artificial intelligence era is starting to be actively utilized in human life, making it simpler to visualize.Independent gadgets are clever in their methods of speaking with each other.One of the maximum suitable sorts of synthetic intelligence is the capacity to realize human herbal language.New thoughts in this text may also result in new methods of operating with the human system, wherein the system will learn how to understand, adapt, and have interaction with it.Thus, we want to broaden a private assistant having splendid powers of deduction and the capacity to have interaction with the environment simply with the aid of using one of the materialistic styles of human interaction, i.e., with the aid of using voice.Desktop-primarily based totally voice assistants are applications which can realize human voices and might reply through an incorporated voice system.To convert textual content to audio, we are able to use APIs.We use the synthetic intelligence era for this project.Use Python as a programming language as well, as it has a big library.This software program makes use of a microphone as an enter tool to get hold of voice requests from the consumer and a speaker as an output tool to present the output voice.
A STUDY ON IMPACT IF WATCHING TELEVISION ON NUTRITIONAL AWARENESS OF ADULTS

The nutritional implications of children's advertising have been an issue of interest for nearly two decades.This study examines the relationship between the amount of a child's exposure to television commercials and a child's nutritional awareness.Therefore, the present study undertaken with an objective of studying the impact of television watching on food consumption pattern, and their food preferences of adults.For this, various tools were used which covers the information about nutritional awareness among adults by watching tv and you tube.Psychosocial correlates were involvement with nutrition, health awareness, association with healthy food, perceived relevance of eating less fat, association with necessity, perceived relevance of vitamins, and perceived attributes of independent organizations.Sociodemographic correlates were gender and age.The relationship between nutrition awareness and nutrition-related behaviors proved to be very complicated.
Application and Problem Research of Financial Sharing Service Center—Take Haier Group as an Example

With the rapid development of economy and the progress of science and technology, big data, cloud computing, blockchain and other technologies have gone deep into various fields, among which the financial sharing service center is a new model emerging in recent years, and has been developed rapidly.For enterprises, the generation and application of financial sharing service centers are conducive to improving efficiency, reducing operating costs, improving market competitiveness and expanding market share.Therefore, taking Haier Group as an example, this paper is of great significance to analyze the application of the current financial sharing service center and the problems facing, and put forward effective suggestions for the construction of financial sharing service center for enterprises.
A new isosceles right triangle fuzzy pattern recognition method and the analysis of its feasible conditions

This paper proposes a dependency type isosceles right triangle affiliation function for the problem that isosceles right triangles cannot be recognized accurately, relying on the principle of maximum affiliation.This function calculates the affiliation of isosceles right triangles by the previously obtained isosceles triangle and right triangle affiliation.The absolute reliability of the proposed function under certain reasonable conditions is verified through theoretical proofs, providing a new perspective in the field of triangular fuzzy pattern recognition.
Exploration and Practice of University Sports "Third -order" Hybrid Teaching Model—Take Aerobics as an Example

In recent years, the development of modern information technology has provided new ideas and carriers for the exploration of teaching models.The mixed teaching model has gradually become a new teaching method at home and abroad.The "third -order" hybrid teaching mode refers to the concept of "student as the main body and the leading teacher" as the concept, and integrates informatization methods to build a continuous body for students' online and offline learning."Before class, in -class, after class" online and offline mixed teaching mode.How to organically integrate this learning model with university sports is the topic that is currently exploring.The article analyzes the "initial level: pre -class: guide students to learn independently through pre -class stages", "mid -level: in the middle stage through questioning and solving doubts and cooperation learning" and "high -level: after -class: expand to reflect on accurate tasks after the class Learning "summarized the basic procedures for effective practice of" third -order "online and offline hybrid teaching.Finally, it takes a fitness project as a foothold to systematically sort out the practical path of the" university sports "curriculum mixed teaching model.
A Practical Study on the Application of Smart Education Platform for Teaching and Research by Primary and Secondary School Teachers

In the context of the rapid development of information technology, intelligent education platforms for primary and secondary schools have come into being.Teachers can carry out teaching and research activities based on the resources provided by the platforms, but they will encounter some obstacles in educational practice.Based on the realistic needs, three teaching and research modes are proposed: combining autonomy and teamwork, combining theoretical learning and practical exploration, and applying typical lesson examples.After practice, it was found that it could effectively promote teachers' attitudes towards participating in teaching and research activities and enhance their teaching knowledge and skills.In the later practice and research, more urgent attention should be paid to the actual needs of teachers' teaching and research, to solving specific problems, and to the improvement of teachers' actions in teaching and research activities, and finally a community of teachers' teaching and research activities should be formed to promote teachers' exchange and collaboration.
Research on the Training Mechanism of Innovative Applied Talents in Statistics Teaching in Newly-Established Undergraduate Colleges—A Case Study on Yibin University

The era of big data and the development strategy of digital China have brought new requirements for cultivating the innovative talents in newly-established undergraduate colleges.According to the indicators of the innovative training project of Yibin University from 2012 to 2022, it is found that the statistics teaching has a greater positive impact on cultivating the college students' innovation ability.It further analyzes the mechanism of statistics teaching on cultivating the innovative talents, and draws a conclusion on the internal consistency and tower-shaped mechanism of statistics teaching, information literacy and innovation ability, as well as proposing the further improvement on the reform of statistics teaching for non statistics majors.
Beijing-Hebei Intelligent Agricultural Science and Technology Collaborative Innovation System

In view of various problems emerged from operation mechanism of the Beijing-Hebei intelligent agricultural science and technology collaborative innovation, combined with the characteristics of product-education-research work, UML modeling technology was adopted to study the corresponding software system for Beijing-Hebei intelligent agricultural science and technology collaborative innovation.First of all, through analyzing the main target function of the system, the role and users of every participant, including universities, scientific research institutions, enterprises, towns and villages, governments and system administrators, were designed by use case diagram.Then, the data flow and interaction between each other was deeply analyzed and described by E-R diagram, , including 8 aspects: "user-role-authority" mechanism model, "product-education-research" collaboration model, experimental field and data collection model, scientific achievements and research team model, teaching feedback model, "project-technology-product" model, policy interpretation model, management model.Finally, the architecture diagram of the system was constructed, which provides the design basis for the software platform development.
Research on Teaching Application and Training Method of Double Reverse Technique in Tennis

Along with the rapid economic development and the national attention to sports, tennis has turned into a very popular ball sport among college students.In recent years, due to the rapid development of campus tennis, tennis has been widely promoted in various universities.In order to make more students aware of tennis culture, and gradually fall in love with this sport, tennis lessons are actively conducted in universities.The article describes the characteristics of using double reverse technique in tennis from both theoretical and practical aspects, and proposes a corresponding training program.
A study on the evaluation criteria of sports performance in a Chinese university based on Internet technology

The physical education performance of contemporary college students is crucial to every college student's physical health as well as credit grades.And the good or bad sports performance is closely related to the sports evaluation criteria.Relying on Internet technology, this paper takes undergraduates of a domestic university as the research object, adopts a variety of research methods, carries out in-depth research on the evaluation criteria of several items, and develops a more appropriate quantitative evaluation sports scoring standard through analysis and comparison.The experiment shows that the graduation quantitative evaluation sports scoring standards proposed in this paper can meet the graduation assessment needs and better respond to the differences of students' sports quality.
Statistical Analysis of Feature Selection and Clustering for Building the Optimised Drug Toxicity Prediction Model

Artificial intelligence and machine learning are crucial in medication research and development. Because of the likelihood of toxicity, many pharmacological evaluations can be omitted. Toxicity prediction is critical for decreasing the cost and time spent on preclinical and clinical research for a drug. Machine learning has played a major part in medication development by specification, from structural design to clinical trial. Cluster analysis is used to improve the prediction model’s performance. This statistics focuses on analysing different features using different feature selection strategies. The deviations of the features are used to assign a score to them. Cluster analysis employs a variety of clustering algorithms. Various techniques for feature selection and clustering provide different results. The assessment of crucial aspects and cluster-wise analysis aids in the optimisation of a prediction model for forecasting medication toxicity.