Volume 12 | Issue 4

 Abstract

The primary goal of the proposed system is to mitigate the impact of medical waste contamination by employing advanced deep learning techniques. Through waste management practices such as recycling and landfilling, the deconstruction of medical waste is addressed. The system's architecture utilizes the RESNET framework for feature extraction, facilitating the intelligent categorization of garbage into digestible and indigestible categories through convolutional neural networks (CNN). Transfer learning enhances the model's ability to detect specific waste categories. Performance analysis, conducted with the KNN algorithm, ensures the effectiveness of the waste classification. The system's real-time data tracking capabilities enable continuous monitoring and adaptation to evolving waste management needs. By leveraging these technologies, the proposed system not only streamlines waste sorting processes but also contributes to a more sustainable and environmentally conscious approach to medical waste management. Ongoing refinement of the model can address emerging challenges and further enhance its efficiency in handling diverse medical waste scenarios

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 Keywords

Deep learning , CNN, medical waste, transfer learning, RESNET architecture, KNN algorithm.

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Artificial intelligence has revolutionized the overall conventional auditing, thereby automating manual tasks. This paper evaluates how AI is being used in auditing with a focus on the role it plays in the automation of tasks, analysis of data, and risk management. Key trends involve the AI implication in the audit methodologies, analytics for fresh fraud detection, and continuous monitoring. Despite its pros, issues like skill shortages and data security concerns continue to be important. This research underpins the stable position of auditors and organizations towards AI implementation in auditing which calls for education, innovation, and ethical considerations. The togetherness of auditors, organizations, and other stakeholders is essential for utilizing AI in an audit. AI is a key to revolutionary auditing and such effects of the advancement in auditing methodologies go far beyond what is traditional.

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Artificial Intelligence, Audit Processes, Fraud Detection.

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This paper examines Sabiha Sumar's film Khamosh Pani, probing the intertwining of time, space, and narrative. It delves into the domestic and public spheres as symbolic arenas for exploring trauma and societal tensions post-Partition. Ayesha's personal space reflects internal turmoil, while public spaces like the barber's shop depict ideological clashes. Through characters like Mehboob, resistance against rising fundamentalism is portrayed. The film serves as a poignant exploration of silenced voices and warns against the dangers of extremism.

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Time, Space, Partition, Radicalism, Khamosh Pani

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Internet of Things (IoT)-enabled smart lighting solutions provide ground-breaking improvements in user comfort, environmental sustainability, and energy efficiency. These systems may dynamically change lighting levels, color temperatures, and patterns in response to occupancy, natural light, and user preferences by integrating sensors, actuators, and network connectivity. This flexibility improves user enjoyment and well-being in addition to lowering energy use. Additionally, IoT-enabled smart lighting systems allow for remote control and monitoring via centralized platforms or mobile devices, enabling real-time administration and data-driven insights. These features enable defect identification, performance optimization, and predictive maintenance, which lowers operating costs and boosts dependability. IoT-based smart lighting applications include retail settings, office buildings, outdoor lighting, and home automation in addition to applications in the commercial, industrial, and residential domains. Smart lighting transforms how we illuminate and engage with our surroundings and helps to create smarter cities and sustainable environments through seamless connection with other IoT devices and systems.

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 Keywords

Smart lighting, Internet of things, IoT-enabled lighting systems, Efficiency, Flexibility, Control

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 Abstract

Abstract: "Dehashya Rudhiram Mulam" i.e. the existence of life depends upon the quantity and quality of Rakta. Rakta is considered as a Dashavidha Pranayatana, it is produced from the Prasada Bhaga of RasaDhatu with the help of Bhutagni and RasaDhatwagni. Its Gunas are similar to Pitta Guna like Sneha, Ushna, Tikshna, Drava etc. It is Apa and Teja Mahabhuta predominant, circulates all over the body from Hridaya through Dhamanis. Jeevana, Varna Prasadana and Mamsapusti are the Prakruta karma of Raktadhatu. In Rakta Pradoshaja Vikara, Rakta plays a major role for the formation of the Vyadhi Samprapti (disease pathogenesis) either due to its Swatantra (i.e. Pitta Dosha) or Paratantra prakopa. This concept also plays an important role to understand the involvement of Rakta for the manifestation of either Ashukari (immediate) or Chirakari (chronic) diseases. For management of Raktapradoshaja Vikaras, Virechana, Upavasa, Raktamokshana and Raktapittahara chikitsa had been advised. Overall the Raktadusti chikitsa can be divided into Abhayantara and Bahya chikitsa. Abhaynatara can be again sub divided into Shodhana and Shamana chikitsa where as Bahya as Sthanik and Sarvadaihika chikitsa.

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Raktadushti, Raktapradoshaj vikara, Rudhira, shonita

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Sign language is the preferred method of communication for the deaf and hard of hearing community. It is a visual language that uses hand gestures, facial expressions, and body language to convey meaning. Sign language recognition (SLR) is a field of computer science that deals with the development of systems that can automatically recognize and translate sign language into spoken language or text. Sign language recognition systems have the potential to revolutionize the way deaf and hard of hearing people interact with the world around them. They could be used to provide real-time translation services in a variety of settings, such as education, employment, and healthcare. SLR systems could also be used to develop new educational tools and to improve the accessibility of existing technology. Harnessing cutting-edge computer vision and machine learning technologies, this system demonstrates the potential to recognize and interpret a wide array of sign language gestures with remarkable accuracy and efficiency. By employing deep neural networks and sophisticated algorithms, the SLRS aims to convert these gestures into both written text and spoken language, facilitating seamless interaction between deaf individuals and the hearing world.

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Sign Language, Deaf, Deep neural network, Computer vision

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The furniture sector has changed significantly as a result of e-commerce's explosive growth. This extensive project explores the creation and evaluation of a cutting-edge online furniture store. In this paper, we propose a website "E-commerce Furniture Website Using AR Technology" makes moderately cost, high-quality furniture more accessible to rural populations. By using this platform providing some special offer products especially for women's for giving them business opportunities. The paper goes into detail on some of the main aspects of the e-commerce platform, including an intelligent recommendation engine, augmented reality integration, and a 3D product visualization tool. This research explores the impact of AR integration on user engagement, conversion rats, and overall customer satisfaction, highlighting the potential of this technology to revolutionize the way consumers shop for furniture online.

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E-Commerce, furniture, integration tool, Customer satisfaction, user platform.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

??????? ?????? ?? ???? ???? ?? ??? ???? ??? ?? ?? ?????? ???? ?? ?????? ?? ???? ???? ??? ???? ??? ?? ??? ??? ???? 2020 ??? ???? ????? ?????? ???? ?? ?? ?? ?????? ???? ?? ?????? ????? ????? ?? ?? ??? ????? - 2020 ?? ??? ??? ????????? ???? ??? ??? ??????? ??????, ??????????? ?? ???? ??????????? ?? ?????? ??????? ??? ??????? ?? ?????????? ??????? ?????? ??????? ??? ????? - 2020 ?????? ?????????? ?? ??????????? ??? ?? ???????? ???? ??????????? ?? ???? ?????????? ??????? ?? ???? ????? ??? ???? ????????? ?? ????? ???? ?? ??? ????? ???? ??? ??? ?? ?? ?? ??? ????? ???? ??????? ?????? ??????? ?? ?????? ????? - 2020 13-18 ?? ????????? ?????? ?? ????? ?? ???? ?????-?????? ????? ?? ??????????? ???? ??, ????? ??????? ?? ????? ????????? ?? ????????????? ??????? ??? ??????? ????? ???? ?? ??? ????? ??? ???????? ?? ?????? ????? ??? ????? - 2020 ????? ???? ?? ???-??? ????? ???? ?? ?? ?????? ??????? ?? ???????? ???? ??? ??? ??? ?? ??? ????? ??? ?? ????? - 2020 ?? ??? ????????? ?? ????? ????????? ?? ???? ??? ???? ?????? ?? ???? ???????? ?? ???????? ???

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A metaphor is a figure of speech used to express a specific meaning or idea by drawing comparisons between two entities or ideas that are not necessarily related to one another. Without using the terms "like" or "as," metaphors use implicit comparisons. Instead, they substitute a word or phrase that doesn't directly relate to the topic at hand but instead makes an analogy or comparison. Understanding and processing metaphors is a difficult topic in natural language processing. Consequently, the current need for metaphor classification involves an innovative approach. In order to conduct tasks like entity linking and relation extraction, we employ a method known as Knowledge Graph Embedding to represent the data in a knowledge graph as numerical vectors. When examining metaphors, we notice a structural pattern where the source and target are linked by a relationship that depends on a specific attribute. The target, the attribute, and the source make up the metaphor triple that describes this pattern. We use dependency parsing to extract collocations of concepts and attributes. In our method, we jointly embed the metaphor Knowledge Graph and the Concept-Attribute collocations. After that, the goal of metaphor identification can be seen as representation-enhanced concept pair classification. We also work on prediction of the possible attributes when given two concepts i.e. target and source from knowledge graph. By improving metaphor detection accuracy, this technique will fill a research gap.

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Natural Languages, Computational Linguistics, NLP

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The Doctors Trustworthiness Assessment project aims to address a critical problem in the healthcare industry - the difficulty of patients in assessing the credibility of doctors accurately. Patients often rely on subjective metrics such as word-of-mouth recommendations and online reviews and ratings on various platforms to evaluate the trustworthiness of a doctor. However, these metrics are prone to biases and inconsistencies, and patients may not have all the information to make an informed decision. To address this issue, the Doctors Trustworthiness Assessment project seeks to develop a comprehensive, reliable, and automated method for assessing the credibility of doctors accurately. The project aims to leverage advanced technologies such as machine learning to provide a trust score that reflects the trustworthiness of a doctor accurately. Patients can use this trust score along with other factors such as the doctor's medical qualifications, specialization, reviews from other patients, and any history of malpractice to make informed healthcare decisions. Moreover, the project aims to encourage doctors to maintain high standards of professionalism and ethical behaviour by providing them feedback on their trust scores. By creating a more transparent and trustworthy environment in the healthcare industry, the Doctors Trustworthiness Assessment project hopes to improve patient outcomes and help patients make informed healthcare decisions.

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Doctors Trustworthiness Assessment, Healthcare industry, Credibility of doctors, Trust score, Medical qualifications, Specialization, Reviews from patients, Professionalism, Patient outcomes.

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Artificial intelligence, Mobile applications, Users Perception, Users Experience, Data Security, Privacy, Efficiency, AI Trends, AI Algorithm, Chat Bots, AI-driven Technology

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This paper introduces MedVista, titled "A Companion For Medication Insight," a web platform designed to streamline access to accurate medication insights. Among its core features are the Homepage for medication searches, symptoSurf for symptom-driven suggestions, and Image Insight, which compares uploaded images with the dataset to provide relevant medicine information. MedVista leverages advanced technologies like machine learning and natural language processing to enhance user experience, foster health literacy, and facilitate informed healthcare decisions. By bridging user gaps with precise medical knowledge, MedVista significantly contributes to improved healthcare outcomes and empowers users with invaluable insights for informed decision-making.

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Medication Insights, SymptoSurf, Image Insight, Machine learning, Natural language Processing, User Experience.

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The article examines the regulatory implications of working remotely in India, with a particular emphasis on adhering to labor laws when working virtually. It draws attention to the acceleration of the transition towards remote work brought about by world events and technical developments. Covering topics like taxation, employment contracts, data privacy, workplace safety, working hours regulation, jurisdictional concerns, and workplace safety, it highlights the challenges that companies facing a shift to remote labor must overcome. The article offers helpful methods to deal with labor law issues by highlighting the necessity of clear policies, compliance audits, employee training, and legal counsel. Employment contracts, workplace regulations, employee perks, data security, taxes, anti-sexual harassment guidelines, and dispute resolution procedures are some of the important subjects discussed.

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Remote Work , Labor Law, Compliance, Workplace Safety

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Dimethoate belongs to organophosphate pesticide widely used in horticulture to kill mites, aphids and other insect pests. It has anticholinesterase activity but it put its harmful effects on non target organisms too. Healthy albino mice of two age group(70 days and 105 days age)were taken as experimental animals and 1/5th LD50 dose of dimethoate were administered via gavage and after the completion of experiment blood was collected to observe the changes in haematological parameters.A significant reduction was seen in Hb(Haemoglobin),RBC(Red Blood Cells),WBC(White Blood cells ),PCV(Packed Cell Volume) ,RPV(Relative Plasma Viscosity) and WBV(Whole Blood Viscosity).This reduction created haemodilution and ultimately brought the changes in rheological property of blood.

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Dimethoate,Gavage,LD50,Rheological property ,haemodilution.

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Cryptography has gained importance in today's world. Cryptography is used by the means to prevent the unauthorized users from access of data. Cryptographic algorithms have been developed to prevent the attacks. A large variety of applications are being used in today's modern era such as online shopping , online payments etc .To protect these from serious attacks encoding and decoding mechanism has to be followed. A large variety of cryptographic algorithms are available today such as RSA, DES etc.The algorithm should consume less memory space and must be faster in terms of CPU execution. The algorithm must be complex for a cryptanalyst to break or read the text. The new cryptographic algorithm proposed by us uses substitution and transposition method. The algorithm provides good performance and less implementation cost as it follows the base of private key encryption technique.

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Encryption algorithm, Decryption algorithm, RSA, DES, Substitution, Transposition.

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 Abstract

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??????, ???? ??????, ???????, ???, ???????? ??, ???????, ?????? ??????, ?????????, ?????, ??????????

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Inclusive education has been viewed as an approach to make educational provisions for children with disabilities rather than as education for all. From past 28 years, since the Salamanca World Conference on Special Needs Education (UNESCO, 1994), various policies have been devised and implemented at international and national levels to endorse the idea of education for all, but there is still a long way to go. In India, disabilities have been frowned upon at societal level and the situation for cognitive disabilities is even worse due to myths and taboos surrounding it. In this paper, economic as well as social aspects of need of inclusive education with reference to Sustainable Developmental Goals (SDG-4) will be discussed. International and national policies pertaining to inclusive education and apparent loopholes in its implementation in India due to vast diversity in terms of degree and type of cognitive disability, and socio-economic as well as cultural factors. Learning from the different countries which have comparatively more successful formulation and implementation of inclusive education policies, the authors will suggest the way forward.

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Inclusive Education, Cognitive Disabilities, SDGs, Barriers, Educational Policies

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Clinical mistakes are commonly pricey and dangerous. They precipitated a large number of deaths international annually. A scientific selection guide machine gives the possibility to reduce scientific mistakes and additionally to enhance affected person protection. Truely one of the most crucial factors in applying this type of machine is the prognosis and therapy for diseases. This is because statistics show that a ailment is one of the top-quality factors in the back of deaths at some point of the world. Facts mining strategies are pretty effective in designing medical assist systems and having the potential to find out hidden patterns and relationships in scientific data. Until now, data mining classification strategies is implemented to investigate the distinctive varieties of based totally issues. This paper is aimed toward developing a disorder prediction system the usage of information mining clustering techniques. As massive amount of records is produced in medical associations, but this data is not properly utilized. The fitness care gadget is "records rich" however "know-how negative". This healthcare data can be used to extract understanding for similarly ailment prediction. Currently data mining strategies are widely utilized in clinical professional structures for prediction of various sicknesses. Those strategies find out the hidden relationships and styles of the healthcare statistics. Disease is a time period for outlining a massive quantity of healthcare situations which can be associated with the sickness. Distinct statistics mining strategies such as affiliation rule mining, category, clustering are used to predict the ailment in fitness care enterprise .The disease database is pre-processed to make the mining manner extra efficient. The diagnosis of sicknesses is a essential and difficult task in medicine. The popularity of sickness from numerous capabilities or signs and symptoms is a multi-layered trouble that isn't free from fake assumptions and is regularly accompanied with the aid of hasty consequences. Thus an try to exploit expertise and revel in of numerous specialists and clinical screening data of patients composed in databases to assist the prognosis system is appeared as a first rate mission. The healthcare enterprise gathers large amounts of disease facts that lamentably, aren't mined to determine hid information for powerful diagnosing.

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Controller, User profiles, Dashboard, Analytics, Web application, Health metrics, Activity tracking, Real-time data

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Swiggy's services have grown over time to include groceries and essential item deliveries in addition to meal delivery, making it possible for users to conveniently access a variety of goods via a single platform. This study indicates that the satisfactory This study investigates the intricate relationship between work-life balance and job satisfaction among Swiggy delivery staff in Coimbatore city. The paper examines the job satisfaction and work-life balance of Swiggy delivery employees in Coimbatore. The study aims to provide the various factors which affecting the work life balancing and job satisfaction level of Swiggy delivery staffs. Convenience Sampling method is used for this study with the sample size of 150 respondents. It observed that Swiggy delivery staffs are facing various challenges in their regular life like low level of salary, High Work pressure, Metal Stress, less time is provided to spent time with their family etc. To solve these problems, they are needed to provide the Proper salary, Incentive, reduce their work pressure, and to provide proper working environment for them as a result of this measure.

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Swiggy, Staffs, Employees, Salary, Working Environment, Satisfaction, Work Life, Problems, Incentive, Mental Stress

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Innovation in education does not simply imply change in teaching, in addition to it, there must be change in the structures of learning. In the current digital era of 21st century which is greatly marked by rapid knowledge diffusion in various fields, ICT is creating a new roadmap for its use in educational field as well. ICT has the potential to bring transformation in the way educational experiences are provided to learners. To bring innovation in teacher education and reap the benefit of ICT in learning, it is essential that pre-service and in-service teachers have basic ICT skills and competencies. This paper discusses the role of ICT in bringing innovation for quality teacher education and highlights different ICT based approaches and resources, challenges and suggestive measures for effective integration of ICT in Teacher Education.

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ICT, innovation, Teacher Education

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Creative Commons Attribution 4.0 and The Open Definition