Volume 12 | Issue 5

 Abstract

In today's fast-paced world, misplacing or forgetting items, including mobile phones, is a common occurrence. The "Location Retrieval via SMS" project aims to address this issue by providing a straightforward solution for locating a mobile device using SMS commands.Upon receiving a predefined SMS message, the system triggers the device to retrieve its current location and respond with the geographic coordinates via SMS. This functionality proves invaluable in situations where traditional methods, such as calling the phone, fail to yield results due to various factors like the device being on silent mode or out of network coverage. By leveraging SMS technology for location retrieval, the project offers users a reliable and efficient means of locating their mobile devices, thereby enhancing convenience and reducing anxiety associated with lost or misplaced phones. With its user-friendly interface and seamless integration of SMS commands, the project provides a practical solution to a common modern-day challenge.

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Location Sharing,Mobile App Testing,User Experience (UX),Performance

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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????? ????????? ??? ?????? ????? ??? ?????? ??????? ?? ?????? : ?? ??????

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The "Environment Analyzer: Surrounding Assessment Tool" project operates at the intersection of technology and environmental sciences, offering users access to surrounding data and information concerning air quality and pollution. By utilizing user location data, the project delivers pertinent information to the community, advising on the types of trees essential for planting to benefit health. It calculates the oxygen emission of all trees based on the population of a given area and retrieves data on current air quality as well as projected air quality for 5 to 10 years ahead, factoring in the growth of small trees over time. Users receive precise information on tree counts, human population, and pollution indices. Leveraging this data, the project assesses the quality of life in specific locations and informs users about the area's livability. Backend algorithms process oxygen indices, carbon emissions, and human population data to generate results. Additionally, the analysis algorithm forecasts the necessary trees for future population growth in the area. The web application utilizes backend location data and specific algorithms to provide users with insights into the ground reality and air quality index of a particular location. Moreover, the project aims to empower communities to make informed decisions about environmental conservation and urban planning. By visualizing complex data in a user-friendly manner, it enables individuals and policymakers alike to understand the impact of their actions on the environment. Through collaborative efforts and community engagement, the project strives to promote sustainable development practices and foster a greener, healthier future for all.

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Environmental Monitoring, Geographic Information Systems (GIS), Air Quality Prediction, Environmental Impact Assessment, Tree Planting Strategies

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 Abstract

This paper examines the impact of automation in accounting in recent times . This study is to understand the opinion on recent trends, advancements and the challenges it has imposed . Technology has its own advantages and disadvantages and it has a strong imprint on almost all sectors in the global market and has transformed a lot of things in the recent decade. From Telephone to Mobile phone , from 2G data to 5G data , from Television to Smart TV and many more to name a few. It has a endless list in every possible aspect. Thus, the jobs have also evolved , from clerical work to working in software accounting , from paperwork for any documentation to registering online , every job has evolved . Hence, this is an attempt made to understand the opinion the Automation of Accounting and its Impact .

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Automation , Accounting , Technological Advancements .

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Bakelite being a plastic material creates an environmental problem and causes health issues to public during its disposal process. In order to overcome this problem, many researchers involved in making waste Bakelite as a useful material for Civil engineering field. This study describes about the basic concept and application of Bakelite which is made into different forms of construction material. In order to reduce the waste management problem created by disposal of waste Bakelite into direct land filling and open burning, this study reveals the use of Bakelite as fine aggregate as well as coarse aggregate in construction field. Paver Blocks & Solid Blocks are manufactured using waste Bakelite as a partial replacement of fine and coarse aggregate with the percentage of 3%,6%,9%12% respectively and partial replacement of coarse aggregate with the percentage of 6%,12%,18%,24%. Tests are conducted to examine its strength and compared with conventional material.

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Bakelite, coarse aggregate, concrete cubes, solid block, compressive strength

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Creative Commons Attribution 4.0 and The Open Definition

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Education is essential in shaping careers, as it provides individuals with the knowledge and skills necessary for recognition and respect in society. It does have a significant role in personal and social development, contributing to the creation of a healthy environment but with education comes academic stress, anxiety, and educational goals. The present study was conducted on "The Academic Anxiety, Career Preference and Overall Well-being among adolescents." A sample of 150 adolescents studying in schools were selected from Delhi NCR. The objective of the study was to assess the relationship between academic anxiety, career preference and overall well being. For the purpose of drawing out the result, the statistical technique used is correlation. The study reported that there's no relationship between academic anxiety, career preference and overall well-being among adolescents. This study offers parents a clearer insight into the academic anxiety and career decisions their children face, prompting them to provide more support and encouragement. Parents can also engage in more informed discussions with their children about their academic and career goals. For adolescents, the study is empowering, providing insights into the factors influencing their academic anxiety, career preferences, and overall well-being. This can help them manage stress, make informed career choices, and prioritize their mental health. This concludes that the study on academic anxiety, career preferences, and overall well-being among adolescents in Delhi NCR is highly relevant.

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Academic Anxiety, Career Preference, Overall Well Being and Adolescents.

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This paper delves into the evolution of money laundering practices from ancient times to the present day, tracing the historical roots of illicit financial activities. Beginning with early instances of currency debasement and smuggling, it examines the emergence of modern money laundering techniques alongside the development of banking systems. The analysis highlights key historical events and milestones that have shaped the landscape of financial crime, including the rise of organized crime syndicates and the globalization of illicit funds. Furthermore, the paper explores the evolution of regulatory frameworks and international efforts to combat money laundering, from the first anti-money laundering laws to contemporary regulations and enforcement mechanisms. By examining historical precedents and current trends, this study provides valuable insights into the ongoing challenges of detecting and preventing money laundering in an increasingly interconnected world.

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Money laundering, historical analysis, regulatory frameworks, financial crime, illicit funds, banking systems, organized crime, anti-money laundering laws, international efforts, enforcement mechanism

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Digital Image Processing means processing digital image by means of a digital computer. We can also say that it is a use of computer algorithms, in order to get enhanced image either to extract some useful information. Digital image processing deals with manipulation of digital images through a digital computer. It is a subfield of signals and systems but focus particularly on images.

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Image Processing, Algorithms

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The existing fake audio detection systems often rely on expert experience to design the acoustic features or manually design the hyperparameters of the network structure. However, artificial adjustment of the parameters can have a relatively obvious influence on the results. It is almost impossible to manually set the best set of parameters. The pervasive presence of manipulated, fabricated, and counterfeit audio recordings has raised serious concerns regarding misinformation, identity theft, and privacy violations. In response to the growing threat of manipulated and counterfeit audio recordings, our project, "AI-Generated and Manipulated Audio Detection," aims to develop a fully automated end-to-end solution. This system addresses the limitations of existing fake audio detection methods, which often rely on manual parameter adjustments, by proposing an efficient and automated approach. Our approach leverages a convolution neural network (CNN) framework, utilizing speech waveforms and acoustic features such as MFCCs to extract high-level representations while considering prosody differences between genuine and fake speech. The project begins with comprehensive data collection, assembling a diverse dataset of audio samples, and annotating them to distinguish between authentic and manipulated content. To enhance the system's efficiency and adaptability, we introduce feature selection and extraction techniques, with a focus on MFCCs for robust feature representation. The machine learning model employed is an SVM (Support Vector Machine), offering effective classification capabilities. In addition to the technical aspects, our project prioritizes user-friendliness and accessibility. We provide an interactive user interface that allows users to input audio in various formats. The system seamlessly converts these inputs into the required WAV format for further processing, simplifying the user experience. This comprehensive approach, combining automated feature selection, MFCC based feature extraction, SVM modeling, and an intuitive user interface, empowers our system to accurately detect AI-generated and manipulated audio. This not only contributes to safeguarding against misinformation and privacy violations but also ensures that the detection process is accessible and user-friendly for a wider audience

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 Keywords

Fake audio detection, Acoustic features, Manipulated audio, CNN framework, MFCCs, CNN classification, User-friendly interface, data annotation, Accessibility

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Smart wireless emergency pendants represent a technological advancement in personal safety devices, offering an innovative solution for rapid access to emergency assistance. This paper explores the evolution, functionalities, applications, benefits, and challenges associated with these wearable devices. Through an extensive review of existing literature and technological developments, this research elucidates the pivotal role played by smart and wireless emergency pendants in revolutionizing emergency response systems, particularly in healthcare settings. The analysis encompasses the technological components, such as sensors and connectivity, highlighting their capabilities in detecting emergencies, triggering alerts, and facilitating prompt communication with emergency services or designated contacts. Moreover, this paper discusses the broader implications of these devices, including their impact on emergency response times, user safety, and the challenges related to adoption and implementation. Future trends and potential societal implications are also deliberated upon, laying the groundwork for further advancements and applications of these devices in diverse contexts. This research underscores the significance of smart and wireless emergency pendants in augmenting personal safety and enhancing emergency preparedness in an increasingly interconnected and technology-driven world.

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ESP32, Sensors, Fall detection, Emergency Button, Wireless emergency pendant, GPS-enabled wearable pendant, GSM Module.

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In the dissertation, major trends, difficulties, and possibilities within the Indian hospitality business are uncovered. This is accomplished by drawing upon a rich tapestry of theoretical frameworks and empirical data. The study sheds light on the evolving strategies that hospitality organizations are employing in order to navigate the complexities of the modern communication landscape. These strategies range from the incorporation of digital platforms to the cultivation of corporate social responsibility initiatives. In addition, the dissertation offers insights that may be put into practice by industry practitioners, policymakers, and scholars who are interested in improving the efficiency of communication and the resilience of organizations within the context of the Indian hospitality sector. This research acts as a catalyst for informed decision-making and strategic planning in the hotel industry by providing an explanation of the connection that exists between strategic communication, public relations, and organizational performance. In summary, the purpose of this dissertation is to highlight the crucial necessity of strategic communication and public relations in the Indian hotel business in terms of generating sustainable development and gaining a competitive edge. The study makes a contribution to the advancement of knowledge and practice in this vital sector by shedding light on the pathways that lead to effective communication strategies. This helps to position Indian hospitality organizations for success in a global marketplace that is becoming increasingly interconnected and dynamic.

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 Keywords

strategic communication, public relations, hospitality industry, India, organizational success, brand perception, customer engagement, stakeholder relationships, communication strategies, industry dynamics.

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The main aim of the present investigation is to compare the Scientific Attitude and Problem Solving Ability among Adolescent boys and girls. For realizing this aim, a representative sample of 200 adolescents (100 boys and 100 girls) of 11th grade students was taken from the government schools of Jawali Tehsil of District Kangra of Himachal Pradesh. The Scientific Attitude of sample students was measured by Scientific Attitude Scale by Dr Avinash Grewal and the Problem Solving Ability was tested by L.N. Dubey's Problem Solving Ability Test. The data was analyzed by using Mean, S.D. and t-test keeping in view the objectives of the study. The results revealed that there exists significant difference between Scientific Attitude and Problem Solving Ability of Adolescent Students. Boys have higher Scientific Attitude and Problem Solving Ability than girls adolescents.

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Scientific Attitude, Problem Solving Ability, Adolescent Students

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Creative Commons Attribution 4.0 and The Open Definition

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Energy-based models (EBMs) offer a promising approach to generative modeling by leveraging Boltzmann distribution to express the probability of events. In this study, we delve into the theory and practical implementation of EBMs, drawing inspiration from physical systems and neural network architectures. By training neural networks to output low scores for likely observations and high scores for unlikely ones, EBMs aim to model the true data-generating distribution. We address challenges associated with sampling new observations and the intractable normalizing denominator, proposing approximation techniques like contrastive divergence and Langevin dynamics. Through exploration and implementation, we aim to provide insights into the construction and utilization of EBMs for image generation tasks.

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Generative Modeling, Boltzmann Distribution, Image Generation

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Urban architecture serves as a cornerstone in the development of modern cities, influencing their livability and sustainability. This synopsis explores the multifaceted role of urban architecture, focusing on its transformative potential in enhancing quality of life, fostering social cohesion, mitigating environmental challenges, and promoting economic vitality. Through an examination of innovative design principles, integration of green spaces and smart technologies, and community-centric approaches, this synopsis seeks to shed light on the critical importance of urban architecture in shaping resilient and vibrant urban landscapes. By drawing insights from case studies and comparative analyses, this synthesis aims to inspire further research and dialogue on harnessing the power of urban architecture for the collective benefit of urban communities.

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- Urban architecture, livability, sustainability, design principles, green spaces, smart technologies, community engagement, social cohesion, economic vitality, resilience.

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The present study is designed to determine the occurrence of extended-spectrum beta-lactamase (ESBL)-producing producing gram negative bacteria inside the Kshripra river. Water samples were collected from different ghats of the river Kshripra. Isolation and identification of gram negative bacteria were done by using various biochemical tests. For the detection of multidrug-resistant bacteria, antibiotic susceptibility tests were performed, and to see the extended-spectrum beta-lactamase (ESBL) mechanism inside the gram negative bacteria, various types of ESBL detection methods were performed. During our study, we finally obtained a total of 21 strains of gram negative bacteria.Out of these 21 strains, 8 strains of gram negative bacteria were sensitive, 9 strains of gram negative bacteria were non-conclusive, and 4 strains of gram negative bacteria were extended-spectrum beta-lactamase (ESBL) positive. All the isolates belonged to the family Enterobacteriace. The isolates were E.coli, Kliebsella, Enterobacter, Salmonella, Citrobacter, and Pseudomonas, all are gram negative bacteria.

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Extended-Spectrum Beta-Lactamase (ESBL), Gram-Negative Bacteria, Enterobacteriaceae, Multidrug- Resistant Bacteria (MDR).

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Creative Commons Attribution 4.0 and The Open Definition

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In an age where the integration of technology and security is paramount, the use of facial recognition technology has gained significant attention for its potential applications in various domains, including surveillance, access control, and law enforcement. This system focuses on the development for log recovery utilizing facial recognition technology. The system's primary objective is to enhance security, access control, and convenience through the accurate identification and verification of individuals based on their facial features. The database will be designed to securely store and manage facial templates and associated user information. The facial recognition system will be integrated with various access control points, such as doors, gates, or electronic devices, to facilitate secure entry and log recovery. The Log Recovery using Facial Recognition project aims to leverage the power of facial recognition technology to enhance security, convenience, and user accountability in various applications, including residential and commercial access control. It addresses the increasing need for reliable, efficient, and privacy-conscious solutions in a rapidly evolving technological landscape.

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Facial Recognition, Access Control, Log Recovery, Deep Learning, User Authentication

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Any experience accompanied by vigorous mental activity and a certain level of pleasure or discomfort is referred to as emotional. Emotions have a powerful impact on how individuals think, behave, and react. People may be motivated to act in a good or harmful way by it. Having a healthy lifestyle and peace of mind is crucial, so it is essential to learn how to manage them. The present study, Relationship between Self Respect and Emotional Control among SPC at Secondary Schools, intends to find what ticks students to behave divergently. For the research, the investigator is conducting a pilot study for tool standardization. Tool A sample of 100 secondary levels SPC was used to manage the final tool and the data collected was analyzed, concluding.

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Self -Respect, Emotional Control, Secondary level

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Creative Commons Attribution 4.0 and The Open Definition

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Music holds a significant role in enriching our lives, serving as a crucial source of entertainment and often providing a therapeutic experience for music enthusiasts and listeners alike. In today's rapidly evolving world of multimedia and technology, we witness the emergence of advanced music players equipped with features such as fast forward, reverse, variable playback speed, local and streaming playback, volume modulation, and genre classification. The inspiration behind this initiative is driven by the desire to streamline the process of creating music playlists, aiming to reduce the manual effort involved. The idea is to automate playlist generation by tapping into the user's emotional state, with the human face playing a pivotal role in revealing one's mood. Through a direct extraction of input from a camera focused on the individual, we aim to harness facial cues as a means of deducing the emotional state. This approach opens up diverse applications, with a primary focus on extracting mood-related information from the input. Once the emotional state is identified, the system can dynamically compile a personalized list of songs that align with the derived mood. This not only eliminates the time-consuming and tedious task of manually segregating or grouping songs into different lists but also facilitates the creation of an appropriate playlist based on an individual's unique emotional features.

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 Keywords

- Emotion detection, Music recommendation, Deep learning, Real-time analysis, User experience, Personalization, Facial recognition, Artificial intelligence, Therapeutic applications, Human-computer interaction

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 Abstract

Indeed, as urbanization continues to advance and populations grow, the demand for space-efficient structures becomes increasingly important. High-rise buildings offer a solution by optimizing land use and accommodating larger populations within urban areas. However, with greater heights come greater challenges, particularly in managing lateral loads induced by factors like wind and seismic activity. To ensure the safety and stability of high-rise buildings against lateral loading, engineers employ various structural systems. Among these, bracing systems and shear wall systems are commonly utilized. Bracing systems play a vital role in stabilizing high-rise structures, especially against lateral loads from wind and seismic forces. By strategically placing braces throughout the building, engineers can significantly increase its overall stiffness and resistance to lateral movement. These systems are particularly effective in mitigating the effects of wind-induced sway. Shear walls, on the other hand, serve as vertically-oriented wide beams within the building's structure. By distributing earthquake loads downwards to the foundation, shear walls help minimize the building's response to seismic forces. This makes them indispensable in earthquake-prone regions, where enhancing structural stability is paramount for reducing the risk of damage and ensuring the safety of occupants. In summary, both bracing systems and shear wall systems play crucial roles in stabilizing high-rise buildings against lateral loads, ensuring their safety, stability, and resilience in the face of environmental forces.

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Lateral load resisting system, high-rise building, Steel Bracing system, Shear wall, and RCC frame.

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Creative Commons Attribution 4.0 and The Open Definition

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Given the rising prevalence of internet use disorder among young people, a number of research have looked at the connection between certain personality traits and online addiction. This abstract investigates the complicated relationship between personality traits and young adult internet addiction in order to comprehend the subtle dynamics at the root of this contemporary issue. A descriptive correlational methodology was used for this investigation. There were 100 male and female young adults in the population of statistics in 2024. Random selection of the participants was done via multistage clustering. Data were gathered using two questionnaires: the five-factor Modified NEO Psychological Inventory and the Internet addiction test. Internet addiction is a condition that is causing worry for a growing number of people. Conscientiousness, extroversion, conviviality, and neuroticism are the Big Five traits of the personality model, and this study uses them as a framework to examine the connections between these qualities and internet addiction.

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Creative Commons Attribution 4.0 and The Open Definition

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internet addiction, personality traits, internet,Conscientiousness, extroversion, Agreeableness, Openness ,neuroticism

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Creative Commons Attribution 4.0 and The Open Definition