International Research Journal on Advanced Engineering and Management (IRJAEM)最新文献

{"title":"Capitalist, Evolution, Financial Innovations and Financial Literacy: A Study of their Dynamics in Shaping Modern Capitalism","authors":"Bidyanand Choudhary","doi":"10.47392/irjaem.2024.0155","DOIUrl":"https://doi.org/10.47392/irjaem.2024.0155","url":null,"abstract":"Finance has had its root in human history since human being started a settled civilized life. As production for trade took a shape, various means of transactions and storage of value kept on evolving. Gradually, finance took the center stage with the evolution of modern capitalism. In early stages the financial instruments remained a scattered individual means of financial practice, no central regulation existed in the early era. Hence the acquaintance with these instruments was also confined to individual users, the traders, particularly. Since economic productivity was quite low, ordinary individuals had little surplus to save, not many had much to do with financial literacy. The modern capitalism required industrial workers, surplus of agricultural products, more consumers for market, more means of production to produce trade surplus and more financial savings and instruments to channelize investments. Also the producers were required to be alienated from the product of labour so that the trade of commodities could be taken in control by the trading class. Also the means of production, which was otherwise the ownership of the households, was to be turned marketable to facilitate the transfer the ownership from ordinary owners to the trading class. The trinity of commodity production, wage labour and market system altogether had to evolve for capitalism to come into existence. Accordingly, various financial instruments took shape, the traditional ones became more formalized and many new ones were invented. The evolution of different forms of business, the 'company' form particularly, helped this process in a big way. Simultaneously, the financial anarchy put the systems in turmoil and hence regulatory bodies became a compulsion. These regulatory bodies assumed the twin role of regulation of financial markets, financial facilitation, as well as creating financial literacy among ordinary people to link their savings to the mainstream trade and commerce lines. The paper attempts to portray the evolution of modern financial system and find out how this evolution has been linked to the financial literacy of the common masses. Also the paper would throw lights on imminent market and systemic hazards caused by excess leliance on financialisation of economic system.","PeriodicalId":517878,"journal":{"name":"International Research Journal on Advanced Engineering and Management (IRJAEM)","volume":"137 36","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140668584","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Obstacle Detection For Visually Impaired","authors":"H. Ahire, Gauri Pujari, Asmita Sawant, Parth Raste, Abhishek Patil","doi":"10.47392/irjaem.2024.0160","DOIUrl":"https://doi.org/10.47392/irjaem.2024.0160","url":null,"abstract":"The paper examines innovative obstacle-detection solutions designed for visually impaired people who do not rely on traditional sensors and recognize the challenges they face when navigating their environment independently. It delves into techniques leveraging alternative sensory modalities such as auditory and tactile feedback, prioritizing user experience and safety. Evaluation criteria encompass effectiveness, ease of use, and affordability, during discussions involve adapting existing infrastructure for tactile navigation and collaboration with guide animal organizations to devise comprehensive solutions. In addition to case studies showing the successful implementation of sensor-free obstacle detection in a wide range of environments, i.e., cities and indoors, challenges related to training and social acceptance of alternative methods will be addressed. In particular, the paper offers beneficial insight into novel approaches to detecting obstacles aimed at improving the mobility and independence of those with visual impairment. Our method uses advanced machine learning algorithms to interpret and predict potential obstacles in real-time. Our system can identify and classify barriers with a high degree of accuracy through analysis of user's sound feedback from their surroundings as well as the use of sophisticated learning techniques. In a wide range of real-world scenarios, we demonstrate the effectiveness of our approach through extensive testing with visually impaired participants. The results show that compared to conventional sensor-based methods, the performance of obstacle detection is significantly improved. In addition, our solution is designed to improve the flexibility, affordability, and ease of integration with existing technologies to create an environment more conducive for people with visual impairment.","PeriodicalId":517878,"journal":{"name":"International Research Journal on Advanced Engineering and Management (IRJAEM)","volume":"80 22","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140670309","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Study of Consumer Behavior: Preferences for Vernacular and Modern Architecture in Hot and Dry Indian Regions","authors":"Aastha Deshpande, Dr. Abhinav Gupta","doi":"10.47392/irjaem.2024.0153","DOIUrl":"https://doi.org/10.47392/irjaem.2024.0153","url":null,"abstract":"Global warming and energy shortages have become major global problems, with the building industry being a major energy consumer. Vernacular architecture, which has been developed over generations, is more adaptable to changing environments, including building orientation, form, spacing, layout orientation, and climatic features. This approach considers the home's aesthetics, physical characteristics, and social purposes, resulting in unique designs in hot, arid climate locations. Examples include Rajasthan and Gujarat, which use locally produced sandstone and lime, Jaali screens, and courtyard designs. Modern architecture in these areas integrates advanced materials, shading technologies, passive cooling techniques, and sustainable energy systems. This study aims to examine vernacularism's climatic adaptation, focusing on climatic adaptive technology and its potential in house shape, construction method, building components, and materials. The findings have implications for architects, urban planners, and policymakers seeking to create resilient and sustainable built environments that respect cultural identity while embracing innovation and local knowledge. The essay will examine 23 previous studies and the work of architects who have adapted traditional and vernacular architecture to create a new identity in architecture, showcasing the blending of traditional and vernacular architectural knowledge with contemporary technology and materials.","PeriodicalId":517878,"journal":{"name":"International Research Journal on Advanced Engineering and Management (IRJAEM)","volume":"27 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140676051","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Emotion-Based Music Player","authors":"Netravathi K S, Bibi Haleema N, Priyanka, Madhushree, Priyanka R V","doi":"10.47392/irjaem.2024.0152","DOIUrl":"https://doi.org/10.47392/irjaem.2024.0152","url":null,"abstract":"Songs have always been a popular medium for communicating and understanding human emotions. Reliable emotion-based categorization systems can be quite helpful to us in understanding their relevance. However, the outcome of the research on Emotion-based music classification have not been the greatest. Here, we introduce EMP, a cross-platform emotional music player that play songs in accordance with the user’s feelings at the time. EMP provides intelligent mood-based music player by incorporating emotion context reasoning abilities into our adaptive music engine. EMP revolutionizes how users interact with music, fostering deeper connections between emotions and musical experiences. Our music player is composed of three modules: the emotion module, the classification module, and the queue-based module. The Emotion Module analyses a picture of the user’s face and uses the VGG16 algorithm to detect their mood with a precision exceeding 95%. The Music Classification Module gets an outstanding result by utilizing aural criteria while classifying music into 7 different mood groups. The queue module plays the songs directly from the mapped folders in the order they are stored, ensuring alignment with the user’s mood and preferences.","PeriodicalId":517878,"journal":{"name":"International Research Journal on Advanced Engineering and Management (IRJAEM)","volume":"94 17","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140676670","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Study on Herbal Finish for Wound Healing on Adhesive Bandage","authors":"Mrs. V. Deepa, Mrs. N. Vidhya, Dr. R. Sucharitha","doi":"10.47392/irjaem.2024.0151","DOIUrl":"https://doi.org/10.47392/irjaem.2024.0151","url":null,"abstract":"Textile industry is one of the largest contributing sectors of India. It is the second largest employer after agriculture, provided direct employment to over 45 million people. Medical textiles are a category of textiles specifically designed for medical purposes, including first aid, clinical, surgical, and hygienic uses. They are engineered to provide various benefits such as biocompatibility, flexibility, strength, and sterility, anti-allergic, anti-bacterial, environmentally friendly, and cost-effective properties. In that an adhesive bandage is also known as sticking plaster, medical plaster, or simply plaster in British English, is a small medical dressing used for injuries not for serious injuries to require a full-size bandage. Finishes plays a major role in the field of medical textiles, in that herbal finishes are one such category. Tridax is a genus of plants in the family Asteraceae. The most well-known species in this genusis Tridax procumbens, commonly known as coat buttons or tridax daisy. It is a perennial herb that is native to tropical and subtropical regions, and it is widely distributed in countries such as India, Nigeria, Brazil, and the United States. Tridax procumbens has been used in various folk medicinal practices. Parts of the plant, such as the leaves and roots, have been used to treat conditions like skin infections, respiratory issues, digestive problems, and even snakebites in some cultures. This paper deals with the research on tridax finish applied on a bandage to analyse the wound healing property.","PeriodicalId":517878,"journal":{"name":"International Research Journal on Advanced Engineering and Management (IRJAEM)","volume":"81 19","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140677125","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Review on Plant Taxonomy","authors":"Dr. Prashanthi Sandepogu, Dr. Shireesha Somineni","doi":"10.47392/irjaem.2024.0150","DOIUrl":"https://doi.org/10.47392/irjaem.2024.0150","url":null,"abstract":"The Identification and naming of plants has attracted a lot of attention throughout history. The science that investigates, identifies, describes, naming of the plant and classifies all plants. Plant taxonomy includes the description of the variation of plants, the observation  of the characters like morphological, anatomical and phylogenic characters of the plants, variation, comparison and the manipulation of the data obtained from the previous information/ data is useful to arrange plants in a system of classification. The 3 aspects of the taxonomy are Identification, Nomenclature, classification are the main activates of the taxonomy. Taxonomy means law full arrangement of plants and it is a process of grouping the plants and other organisms. In ancient days  plants  the classification of plants was very easier and the classification of made by taking consideration of one or two morphological characters which is known as artificial classification but in course of time the classification of plants underwent many medications were taken place because of technological development. But end the end of 19th century the system of classification based on external morphological characters especially based on floral characters because floral characters are stable when compare to morphological characters while growth of the plants, this system of classification is classical/ alpha taxonomy. In course of time the classification of organisms/plants taken consideration of the multiple allied disciplines like the evidences from Anatomy, Embryology, Palynology, Cytology and Genetics.  This type of classification is used to resolve taxonomic problems in addition to morphology this classification special significance which is called as biosystematics.  Of course an insufficient number of experts, and the instability of phenotypes, which are easily affected by environmental factors, made this classification meet difficulties. With the advent evidences of the fields of phylogenetic, cladistics, experimental botanical gardens, field study, herbariums, keys, museums, computers and systematics, the artificial classification  have progressed to a system of modern/ Phylogenic system of biological classification based on consideration of the evolutionary relationships between organisms and both biotic and abiotic factors. Here, I discussed the history of Identification, nomenclature classification and its different systems, for the identification of plants, the development of various molecular techniques that generate molecular markers has made it possible to accurately identify plants. Here I referred the reviews which gives information of the modern techniques and traditional methods that can be used for identification plant species through genotypic studies based on DNA barcoding.","PeriodicalId":517878,"journal":{"name":"International Research Journal on Advanced Engineering and Management (IRJAEM)","volume":"107 33","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140679617","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dynamic Decision Making for Connected Vehicles in IoT System","authors":"Miss. Sonal, Sanjay Ayare, Dr. Suraj V. Pote, Dr. Jaydeep B. Patil","doi":"10.47392/irjaem.2024.0147","DOIUrl":"https://doi.org/10.47392/irjaem.2024.0147","url":null,"abstract":"Intelligent Transportation System (ITS) which focuses on dynamic decision making for IoT data processes using distributed and decentralized systems has attracted much attention in recent years. In this paper, we propose a novel approach for enabling computational intelligence into dynamic decision-making for connected vehicles to provide various applications of smart cities. The proposed approach is based on the ant colony optimization (ACO) approach, which is able to improve the performance of intelligent transportation systems. In addition, the simulated results are compared with previous works in the literature.","PeriodicalId":517878,"journal":{"name":"International Research Journal on Advanced Engineering and Management (IRJAEM)","volume":" 28","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140690208","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Laboratory Performance Evaluation of Hot Mix Asphalt Using Reclaimed Asphalt Pavement Material for Bituminous Concrete Layer","authors":"SantoshKumar, Niveditha M Madinur, Sharanabasava Patil","doi":"10.47392/irjaem.2024.0146","DOIUrl":"https://doi.org/10.47392/irjaem.2024.0146","url":null,"abstract":"Pavement rehabilitation and reconstruction generate large quantities of reclaimed asphalt pavement (RAP). Recycling into new asphalt paving mixtures is the predominant application. The RAP contains aggregates coated with bitumen. Recently utilization of RAP in asphalt mixes has been gaining worldwide popularity. Use of RAP in asphalt mixes can reduce cost of materials (aggregates and bitumen), conserve aggregates and asphalt, save environment, and can solve problem of solid waste disposal. The present study is used to design and evaluate the performance of bitumen mix with 2 different percentage of RAP. The preliminary laboratory tests were conducted to check the quality of aggregate, bitumen and RAP. The use of different percentage of RAP (i.e. 0%, 40% and 50%) for Bituminous concrete (BC) were designed as per specifications of Ministry of Road Transportation and Highway (MoRTH). The Marshall Mix design method was utilized to design mix with different percentages of RAP. The moisture damage potential of different mixes was determined in the laboratory by estimating retained indirect tensile strength also called tensile strength ratio (TSR). The test was conducted by applying a compressive load at a rate of 50.8 mm/min and their TSR values were determined. Furthermore, the rutting performance of different types of mixes was determined in the laboratory using flow time test. The results indicate that addition of RAP increases rutting resistance. This study would be helpful for highways engineers to utilize RAP for construction of sustainable highways in India.","PeriodicalId":517878,"journal":{"name":"International Research Journal on Advanced Engineering and Management (IRJAEM)","volume":" 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140688797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Survey on Machine Learning Models to Analyze Urinary Tract Infection Data","authors":"Impana K. P, Akanksh Saya, Bhagyashri Shetty H, Chagi Manaswini, Charudisha A. Ashjay","doi":"10.47392/irjaem.2024.0145","DOIUrl":"https://doi.org/10.47392/irjaem.2024.0145","url":null,"abstract":"A urinary tract infection, or UTI, is caused when bacteria get into the urinary tract- kidneys, bladder, or urethra. UTIs cause more than 8.1 million visits to healthcare providers each year. About 60% of women and 12% of men get infected with UTI during their lifetime, therefore being more prominent in females. UTIs can be found by analyzing a urine sample. The urine is examined under a microscope for bacteria or white blood cells that show infection. Healthcare providers may also take a urine culture. This test examines urine to detect and identify bacteria and yeast, which may be causing a UTI. Several models have been proposed to predict urine culture positivity based on urinalysis. Applications of machine learning (ML) methods have been used extensively to solve various complex challenges in recent years in various application areas. ML methods are characterized by their ability to examine data and discover exciting relationships, provide interpretation, and identify patterns. ML can help enhance the reliability, performance, predictability, and accuracy of diagnostic systems for many diseases. This survey provides a comprehensive review of the use of ML in the diagnosis of Urinary Tract infection in human beings. To provide a reliable classification of results assistance of 27 algorithms was tested. Algorithms applied included Logistic regression, Decision tree, Random Forest, and Support Vector Machine. Each model was evaluated by F1-score, AUC-ROC, accuracy, sensitivity, and specificity. Baseline epidemiological factors, previous antimicrobial consumption, medical history, and previous culture results were included as features. Machine learning models such as the Artificial neural network have been used as well for the prediction of the presence of urinary infection. Some specific parameters have been selected with the help of the Analysis of variance technique which gave high accuracy. This survey provides a comprehensive review of the use of ML in the medical field highlighting standard technologies and how they affect medical diagnosis. It provides valuable references and guidance for researchers, practitioners, and decision-makers framing future research and development directions. It is found that Machine Learning models can improve the early prediction of urine culture positivity and UTI by combining automated urinalysis with other clinical information. Clinical utilization of the models can reduce the risk of delayed antimicrobial therapy in patients with nonspecific symptoms of UTI and classify patients with UTI who require further treatment and close monitoring. In conclusion, the paper provides a survey on the machine learning models used with the highest accuracy to detect UTI potential patients.","PeriodicalId":517878,"journal":{"name":"International Research Journal on Advanced Engineering and Management (IRJAEM)","volume":" 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140685870","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimization of Nutrients Concentration Required for the Bioremediation of Petroleum Contaminated Soil","authors":"Ashwini G, Dr. Basappa B Kori","doi":"10.47392/irjaem.2024.0148","DOIUrl":"https://doi.org/10.47392/irjaem.2024.0148","url":null,"abstract":"There is a growing public concern as petroleum hydrocarbons are being introduced inadvertently or deliberately in large volumes into the environment thus causing a long term threat to all forms of life. Thus remediation of these is of utmost importance. The bioremediation technology is being employed for the degradation of crude oil in soil matrix through microorganisms which can transform petroleum hydrocarbons into less toxic compounds. In this study, optimum nutrients (C: N: P) concentration required for the microbial growth was investigated. The petroleum oily sludge, contaminated soil, soil rich in native microorganisms was collected and the same was used to prepare simulated contaminated soil which was filled up to 3/4th of the reactors volume. All the parameters except the C: N: P ratio in the reactors were maintained constant throughout the study period. The C: N: P ratios varies from 100:2.5:0.25 to 100:20:2 in the twenty reactors, N and P were amended to make up the required ratios. N and P were not added into the control reactor. Treatability studies on TPH contaminated soil was conducted in all the reactors for a period of six weeks. The results of the study reveals that among the different C:N:P ratios, C:N:P ratio of 100:10:1 gave the maximum TPH removal of 59.57 % with biodegradation rate of 0.022 day/1, R2 obtained was 0.968 which suggest that there exists a strong relationship between biodegradation and time. The results thereby imply that nutrients concentration is the most important factor that affects the biodegradation of petroleum-hydrocarbons in tropical soils.","PeriodicalId":517878,"journal":{"name":"International Research Journal on Advanced Engineering and Management (IRJAEM)","volume":" 19","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140685813","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}