Volume 12 | Issue 4 |

 Abstract

The world is changing day by day the technologies are also evolving. Various technological changes have been adapting to the military application. On the base of this technological changes and to address the modern threats faced by military, an advanced sensors equipped robot is introduced with features like landmine detection and utilizes sensors technologies such as metal detectors obstacle avoidance, as well as hazardous gas alerts. The robot can transmit real-time GPS coordinates when detecting a landmine and responding to SMS commands. Also, IR sensors are used to enhance situational awareness and threat detection capabilities.

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 Keywords

Autonomous Robot, Landmine Detection, IoT, Embedded Design, ESP32

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Analyzing e-commerce sentiments is crucial for businesses to understand customer emotions and opinions about their products and brand. Sentiment analysis, also known as opinion mining, is a process that involves natural language processing, machine learning, and data analytics techniques to extract insights from user-generated content. This analysis can help companies make informed decisions, improve their products and communications strategy, and gauge branded reputation among customers. Sentiment analysis can be applied to various types of data, such as social media conversations, product reviews, and customer support interactions. The analysis can be finegrained, focusing on specific aspects of the products or services, or multilingual, analyzing content in different languages. In e-commerce, sentiment analysis can be used to evaluate product reviews, sort data at scale, and provide real-time analysis of customer feedback. For instance, analyzing Amazon product reviews can help companies recognize what customers like about their products and identify primary issues. Similarly, analyzing movie reviews on Rotten Tomatoes can help production houses understand the general opinion of critics and influence the commercial success of a drama or movie.

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 Keywords

Deep Learning Techniques, Sentiment analysis Opinion mining Natural language processing (NLP) Machine learning Data analytics User-generated content Social media conversations Product reviews

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 Abstract

This paper presents a novel eLearning system designed to transform computer science education. By leveraging Augmented Reality (AR) and Virtual Reality (VR), the system creates an engaging and interactive learning environment. It departs from traditional methods by allowing students to interact with 3D models, simulations, and receive real-time feedback within a virtualized setting. The paper delves into the design, development, and assessment of this eLearning system, highlighting its potential to significantly enhance students' grasp of intricate computer science concepts and their practical applications.

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 Keywords

Virtualarvr

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A successful lawyer must be able to advocate for themselves without harming the rights of others. The role of an assertive lawyer is to help the client assert themselves, to make sure they are heard by the court and the opposing party, so that their interests are fully considered and factored into any final result. The present research was designed to study the gender differences of assertiveness: adaptive and aggressive, in law students. For this, a sample of 95 responses (51 females and 44 males) were collected. The participants were administered the Adaptive and Aggressive Assertiveness Scale (AAA-S) developed by Renee J. Thompson & Howard Berenbaum in 2011. The results showed significant differences among female and male law students, where male law students scored higher in both, adaptive and aggressive assertiveness than female law students. The implications and limitations were also discussed and more possible studies were suggested.

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 Keywords

Law students, Gender difference, Aggressive assertiveness, Adaptive assertiveness.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study aimed to develop and assess the efficacy of an anti-bacterial toothpaste formulated with Myristica fragrans against oral pathogens. The toothpaste was prepared using standard procedures, incorporating Myristica fragrans extract known for its antibacterial properties. Various parameters including pH, viscosity, and antibacterial activity against common oral pathogens such as Streptococcus mutans, Lactobacillus acidophilus, and Porphyromonas gingivalis were evaluated. The results demonstrated that the formulated toothpaste exhibited desirable physical characteristics and significant antibacterial activity against tested oral pathogens. Myristica fragrans extract effectively inhibited the growth of these bacteria, suggesting its potential for oral care applications. Therefore, this study suggests that Myristica fragrans could be a promising natural ingredient for the development of effective anti-bacterial toothpaste formulations targeting oral health.

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 Keywords

Toothpaste, Myristica fragrans

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Employee turnover is a costly problem for companies. The actual cost of replacing an employee can often be quite high. This is due to the time spent interviewing and finding a replacement. By understanding why and when employees are most likely to leave the company, steps can be taken to improve employee retention. We will try to solve the following problem statement: To use machine learning algorithms to determine whether an active employee leaves the company, identify the key indicators of an employee leaving the company and recommend policies or strategies that can be adjusted based on the results to improve employee retention There are several areas where organizations can use technology for decision support: Artificial intelligence is one of the most innovative technologies that is widely used to help organizations in with business strategies, organizational aspects and human resource management. In recent years, human resources (HR) have received increasing attention, as the quality and qualifications of the workforce represent a growth factor and a real competitive advantage for companies. After its introduction into sales and marketing departments, artificial intelligence will also be used in human resources management to control employee-related decisions. The purpose is to support decisions based not on subjective aspects but on objective data analysis.

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 Keywords

e-evaluation, natural language processing, latent semantic analysis, plagarism, steaming, detection, analyzing

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 Abstract

This study examines the effect of using an "optimized triple mix" (OTM) on the properties of recycled asphalt pavement (RAP) aggregate concrete (RAPC) and "Abrasion and Attrition" (ABTRAP) aggregate concrete (ABTRAPC). The OTM approach involves coating the RAP aggregate with pozzolanic materials to reduce porosity and increase the C-S-H content, which improves the interfacial transition zone (ITZ). In both RAPC and ABTRAPC mixes, 10% of ordinary Portland cement (OPC) is replaced with silica fume. The laboratory tests showed that the OTM approach improved the compressive strength, flexural strength, and split tensile strength of RAPC and ABTRAPC mixes compared to the standard mix approach. The 50ABTRAPC mix prepared by the OTM approach exhibited better compressive strength, flexural strength, and split tensile strength than natural aggregate concrete (NAC). The cost analysis revealed that the 100ABTRAPC mix cost per 1 m3 of concrete was 9.793% less than NAC.

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 Keywords

- Recycled Asphalt Pavement (RAP); Recycled Asphalt Pavement Aggregate Concrete(RAPC), RAP Aggregate Treated by Abrasion & Attrition Technique" (ABTRAP), ABTRAP Aggregate Concrete Containing 10% Silica Fume - (ABTRAPC

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 Abstract

The Face ID Attendance System utilizes advanced facial recognition algorithms to accurately identify individuals and record their attendance.

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 Keywords

Python, Opencv, Streamlit, AWS,

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Creative Commons Attribution 4.0 and The Open Definition

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This comprehensive documentation offers a thorough examination of the Academy Learning Management System (LMS), a potent tool designed to revolutionize the way that education is imparted. It meets the different needs of teachers, administrators, and students and serves as a roadmap for making the Academy LMS as efficient as possible. Administrators are provided with guidance at every stage of system setup, configuration, and user administration, ensuring a seamless integration into pre-existing educational environments.

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 Keywords

Learning , System , Collaboration

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Citizens in India have a duty and a right to vote, but the fundamentals of democracy are being called into question by the alarming drop in voter turnout. The old system, which requires actual presence, risks vote tampering and excludes a large number of people, particularly the physically impaired and those living in remote cities. By incorporating Aadhar-linked biometrics, such as fingerprint and facial scans, Secure Vote provides a novel way to strengthen the democratic process. This breakthrough uses face and fingerprint detection to reduce false votes, improving voting security and accuracy with LBPH (Local Binary Pattern Histogram) algorithms. But protecting privacy, safeguarding data, and accommodating those without Aadhar present significant issues that need to be resolved if this revolutionary strategy to strengthen democracy is to succeed.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Fingerprint , Facial recognition, Adhaar number

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Creative Commons Attribution 4.0 and The Open Definition