Pub Date : 2024-07-30DOI: 10.35940/ijese.e4490.12080724
Eshwari A Madappa, M. V. S. Reddy, Rajaneesh R, Shashank A S, Sudeep S Kodad
The Encrypt Express model revolutionizes cargo logistics by leveraging IoT technology to improve safety, security, and efficiency. It integrates the DHT11 sensor to monitor environmental conditions such as temperature and humidity, ensuring optimal storage of goods. Using one-time password (OTP) access for the doors significantly enhances security, while the cargo compartment is divided into two slots for better cargo management. The features of the model include distance-based pricing, optimizing costs based on journey length. To improve user experience and tracking, an intuitive user interface (UI) is combined with the Leaflet Maps application programming interface (API), providing real-time location data and easy navigation. Additionally, the system allows alerts to be sent via email if parameters such as temperature or humidity exceed defined thresholds, ensuring quick intervention and cargo security. This comprehensive approach offers many benefits such as security through OTP access, enhanced environmental monitoring through sensors, cost-effective pricing through distance-based calculation and managing goods effectively with divided compartments. The user-friendly UI and powerful tracking capabilities further enhance the system, making “ENCRYPT EXPRESS” a promising solution for the future of cargo logistics. By modernizing cargo operations, it sets new standards in reliability, efficiency, and customer satisfaction, transforming the way cargo is managed and transported in the logistics industry.
{"title":"Encrypt Express: Security Enhancement, Maximizing Load Utilization in Cargo Transport through IoT and Algorithmic Solutions","authors":"Eshwari A Madappa, M. V. S. Reddy, Rajaneesh R, Shashank A S, Sudeep S Kodad","doi":"10.35940/ijese.e4490.12080724","DOIUrl":"https://doi.org/10.35940/ijese.e4490.12080724","url":null,"abstract":"The Encrypt Express model revolutionizes cargo logistics by leveraging IoT technology to improve safety, security, and efficiency. It integrates the DHT11 sensor to monitor environmental conditions such as temperature and humidity, ensuring optimal storage of goods. Using one-time password (OTP) access for the doors significantly enhances security, while the cargo compartment is divided into two slots for better cargo management. The features of the model include distance-based pricing, optimizing costs based on journey length. To improve user experience and tracking, an intuitive user interface (UI) is combined with the Leaflet Maps application programming interface (API), providing real-time location data and easy navigation. Additionally, the system allows alerts to be sent via email if parameters such as temperature or humidity exceed defined thresholds, ensuring quick intervention and cargo security. This comprehensive approach offers many benefits such as security through OTP access, enhanced environmental monitoring through sensors, cost-effective pricing through distance-based calculation and managing goods effectively with divided compartments. The user-friendly UI and powerful tracking capabilities further enhance the system, making “ENCRYPT EXPRESS” a promising solution for the future of cargo logistics. By modernizing cargo operations, it sets new standards in reliability, efficiency, and customer satisfaction, transforming the way cargo is managed and transported in the logistics industry.","PeriodicalId":492421,"journal":{"name":"International journal of emerging science and engineering","volume":"8 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141796042","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}
Pub Date : 2024-07-30DOI: 10.35940/ijese.a3795.12080724
Dr. Sandesh Hegde, Dr. Ramachandra C G, Dr. Reddappa H N, Dr. Prashanth Pai M
It is widely accepted that the energy we currently use will not be sufficient to fulfil the demands of all people on the globe in the future. As a result, cleaner and more abundant alternative energy sources—which may also take the form of hybrid energy—are needed. Renewable energy sources will certainly become more prominent. Modern civilizations needs cheap, plentiful energy to survive, therefore, it is crucial for human civilization to create a sustainable, affordable, and environmentally benign alternative sources of energy. The global energy dilemma may have an efficient solution in the form of wind power. In current state of affairs, the air could seems like insignificant to any or all. However we tend to all grasp that, the planet has shaped up with associate uneven surface, which suggest that the sunrays could strike these surface with variable intensities at numerous spot on its uneven surface. This creates associated degree of unequal degree of heating of the earth surface, that which causes variation in part of atmospheric pressure thereon. Then it leads to wind. The Kinetic energy of these air molecules is nothing but wind energy. A mechanical mechanism known as a wind turbine which transforms, kinetic energy which is there in the air around it into the required form of mechanical energy. Here in this research we focused on the repellent qualities of permanently magnetized objects with similar poles. These innate qualities of magnetic propulsion are used here as an energy sources. Due to the inclusion of this components like magnetic repulsion, our VAWT system will operate more effectively even at lower wind speeds circumstance also. This magnets will produce a repulsive force that will add various sorts of kinetic energies to the wind turbines as they convert wind energy's kinetic energy of into the necessary mechanical power when it’s employed as an extra source of energy in a VAWT.
{"title":"Improvement of Performance and Efficiency Through the Use of Permanent Magnet Propelling Phenomenon in Traditional Vertical Axis Wind Turbine Systems","authors":"Dr. Sandesh Hegde, Dr. Ramachandra C G, Dr. Reddappa H N, Dr. Prashanth Pai M","doi":"10.35940/ijese.a3795.12080724","DOIUrl":"https://doi.org/10.35940/ijese.a3795.12080724","url":null,"abstract":"It is widely accepted that the energy we currently use will not be sufficient to fulfil the demands of all people on the globe in the future. As a result, cleaner and more abundant alternative energy sources—which may also take the form of hybrid energy—are needed. Renewable energy sources will certainly become more prominent. Modern civilizations needs cheap, plentiful energy to survive, therefore, it is crucial for human civilization to create a sustainable, affordable, and environmentally benign alternative sources of energy. The global energy dilemma may have an efficient solution in the form of wind power. In current state of affairs, the air could seems like insignificant to any or all. However we tend to all grasp that, the planet has shaped up with associate uneven surface, which suggest that the sunrays could strike these surface with variable intensities at numerous spot on its uneven surface. This creates associated degree of unequal degree of heating of the earth surface, that which causes variation in part of atmospheric pressure thereon. Then it leads to wind. The Kinetic energy of these air molecules is nothing but wind energy. A mechanical mechanism known as a wind turbine which transforms, kinetic energy which is there in the air around it into the required form of mechanical energy. Here in this research we focused on the repellent qualities of permanently magnetized objects with similar poles. These innate qualities of magnetic propulsion are used here as an energy sources. Due to the inclusion of this components like magnetic repulsion, our VAWT system will operate more effectively even at lower wind speeds circumstance also. This magnets will produce a repulsive force that will add various sorts of kinetic energies to the wind turbines as they convert wind energy's kinetic energy of into the necessary mechanical power when it’s employed as an extra source of energy in a VAWT.","PeriodicalId":492421,"journal":{"name":"International journal of emerging science and engineering","volume":"8 18","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795697","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}
Pub Date : 2024-07-30DOI: 10.35940/ijese.e4496.12080724
Eshwari A Madappa, Prabhuswamy, Pratham M, Sanath Kumar K S, Sudeep G
This report describes a new kind of smart helmet for miners that uses a long-range LoRaWAN connection. The helmet provides a complete safety solution with its integrated GPS sensor for tracking location in real-time, temperature and humidity sensors for environmental monitoring, impact sensor for collision detection, and smoke sensor for early hazard identification. Reliable data transmission is ensured via LoRa WAN, even from sites far below the surface. Thanks to greater situational awareness, quicker emergency reaction times, and real-time monitoring, this data which includes location, environmental conditions, and potential hazards allows for safer mining operations. This smart helmet has the potential to drastically lower workplace accidents and improve worker safety by enabling data-driven safety management. It also makes the working environment for miners safer.
{"title":"Guardian Gear: Advancing Safely with Smart Mining Helmet","authors":"Eshwari A Madappa, Prabhuswamy, Pratham M, Sanath Kumar K S, Sudeep G","doi":"10.35940/ijese.e4496.12080724","DOIUrl":"https://doi.org/10.35940/ijese.e4496.12080724","url":null,"abstract":"This report describes a new kind of smart helmet for miners that uses a long-range LoRaWAN connection. The helmet provides a complete safety solution with its integrated GPS sensor for tracking location in real-time, temperature and humidity sensors for environmental monitoring, impact sensor for collision detection, and smoke sensor for early hazard identification. Reliable data transmission is ensured via LoRa WAN, even from sites far below the surface. Thanks to greater situational awareness, quicker emergency reaction times, and real-time monitoring, this data which includes location, environmental conditions, and potential hazards allows for safer mining operations. This smart helmet has the potential to drastically lower workplace accidents and improve worker safety by enabling data-driven safety management. It also makes the working environment for miners safer.","PeriodicalId":492421,"journal":{"name":"International journal of emerging science and engineering","volume":"1 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141796205","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}
Pub Date : 2024-07-30DOI: 10.35940/ijese.f4507.12080724
Lilik Masruroh Hidayah S.Si, Jessylia, Anggun Tri Mukti Kukuh Rahayu, Dra. Sri Emy Yuli Suprihatin M. Si.
The recent development of batik-patterned fabric has been very diverse. Currently, batik motifs are often combined with various more modern designs. This research was carried out with the aim of 1) providing the latest picture of how familiar batik motifs are when combined with the latest designs 2) providing a new experience of more realistic design with video rendering and visualization in CLO3D 3) training writers to be able to create digital patterns as well as visual displays of designs with CLO3D 4) train writers to work together in teams. This research uses a qualitative survey method by utilizing Google Form as a survey tool supported by literature studies by reading online journals and articles. The results obtained were the overall design with 35 responses, satisfied with the design so that the design was declared to have achieved the target.
{"title":"Analysis of Consumer Responses to Ready to Wear Dresses with Batik Motifs","authors":"Lilik Masruroh Hidayah S.Si, Jessylia, Anggun Tri Mukti Kukuh Rahayu, Dra. Sri Emy Yuli Suprihatin M. Si.","doi":"10.35940/ijese.f4507.12080724","DOIUrl":"https://doi.org/10.35940/ijese.f4507.12080724","url":null,"abstract":"The recent development of batik-patterned fabric has been very diverse. Currently, batik motifs are often combined with various more modern designs. This research was carried out with the aim of 1) providing the latest picture of how familiar batik motifs are when combined with the latest designs 2) providing a new experience of more realistic design with video rendering and visualization in CLO3D 3) training writers to be able to create digital patterns as well as visual displays of designs with CLO3D 4) train writers to work together in teams. This research uses a qualitative survey method by utilizing Google Form as a survey tool supported by literature studies by reading online journals and articles. The results obtained were the overall design with 35 responses, satisfied with the design so that the design was declared to have achieved the target.","PeriodicalId":492421,"journal":{"name":"International journal of emerging science and engineering","volume":"11 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795581","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}
Pub Date : 2024-07-30DOI: 10.35940/ijese.i2581.12080724
Dr. Chitra S
In recent years, the global emphasis on STEM (Science, Technology Engineering, and Mathematics) education in secondary schools has grown significantly, driven by the recognition of its pivotal role in preparing students for the complexities of the 21st-century workforce. STEM education transcends traditional disciplinary boundaries, emphasizing critical thinking, problem-solving, and innovation—the cornerstones of technological advancement and economic competitiveness. The present study delves into the relevance of STEM education in secondary schools, exploring its impact on students’ academic development, career readiness, and the broader societal implications. By examining current research, trends, challenges, and future prospects, this investigation aims to provide a comprehensive understanding of how STEM education equips students with essential skills and knowledge to navigate and contribute meaningfully to our increasingly STEM-oriented world. This study was conducted using the survey method with 50 secondary school teachers as the study samples. The data were collected using opinionnnaire and analyzed using quantitative descriptive analysis. The study results revealed that STEM education implemented at secondary school level helped in the development of the higher cognitive abilities of the learners, such as problem solving, critical thinking, creative thinking etc.
{"title":"Evaluating the Role of STEM Education in Empowering Secondary School Students","authors":"Dr. Chitra S","doi":"10.35940/ijese.i2581.12080724","DOIUrl":"https://doi.org/10.35940/ijese.i2581.12080724","url":null,"abstract":"In recent years, the global emphasis on STEM (Science, Technology Engineering, and Mathematics) education in secondary schools has grown significantly, driven by the recognition of its pivotal role in preparing students for the complexities of the 21st-century workforce. STEM education transcends traditional disciplinary boundaries, emphasizing critical thinking, problem-solving, and innovation—the cornerstones of technological advancement and economic competitiveness. The present study delves into the relevance of STEM education in secondary schools, exploring its impact on students’ academic development, career readiness, and the broader societal implications. By examining current research, trends, challenges, and future prospects, this investigation aims to provide a comprehensive understanding of how STEM education equips students with essential skills and knowledge to navigate and contribute meaningfully to our increasingly STEM-oriented world. This study was conducted using the survey method with 50 secondary school teachers as the study samples. The data were collected using opinionnnaire and analyzed using quantitative descriptive analysis. The study results revealed that STEM education implemented at secondary school level helped in the development of the higher cognitive abilities of the learners, such as problem solving, critical thinking, creative thinking etc.","PeriodicalId":492421,"journal":{"name":"International journal of emerging science and engineering","volume":"9 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795915","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}
Pub Date : 2023-10-30DOI: 10.35940/ijese.k2555.10111123
Khushboo Nagar, M.P.S. Chawla
Support vector machines describe a system that uses a feature space with a hypothesis space of linear functions that is trained using various learning algorithms from optimization theory. This paper presents a brief introduction to SVM, and a survey with different methods applied for obtaining results using classifiers. The aim is to classify and obtain results for different classes of points with different SVM classifiers and to justify the results using various methods like Gaussian Kernel, Custom Kernel, Cross Validate functioning of SVM classifiers through Posterior Probability Regions for SVM classification models with various types of data.
{"title":"A Survey on Various Approaches for Support Vector Machine Based Engineering Applications","authors":"Khushboo Nagar, M.P.S. Chawla","doi":"10.35940/ijese.k2555.10111123","DOIUrl":"https://doi.org/10.35940/ijese.k2555.10111123","url":null,"abstract":"Support vector machines describe a system that uses a feature space with a hypothesis space of linear functions that is trained using various learning algorithms from optimization theory. This paper presents a brief introduction to SVM, and a survey with different methods applied for obtaining results using classifiers. The aim is to classify and obtain results for different classes of points with different SVM classifiers and to justify the results using various methods like Gaussian Kernel, Custom Kernel, Cross Validate functioning of SVM classifiers through Posterior Probability Regions for SVM classification models with various types of data.","PeriodicalId":492421,"journal":{"name":"International journal of emerging science and engineering","volume":"94 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136019111","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}
The key element for mechanics of every vehicle be it a 2-wheeler, 3-wheeler, 4-wheeler and so on requires engine oil to work smoothly. Engine oil's primary function is to lubricate the moving elements of engines, which are constantly undergoing friction. As a result, friction is decreased, which tends to diminish longevity of engine parts. During combustion, energy is wasted, and mechanical parts rubbing against one another raise engine temperature. With increased usage the engine takes a lot of wear and tear this leads to accumulation of impurities in the oil. The project describes the design and development of an IoT based oil impurities, level monitoring instrument and its operational methodology. This project uses a unique approach with LED spectrophotometry. The developed instrument in the project will do Qualitative and Quantitative assessment of lubricant oil in IC engine’s sump. This in turn aids in carrying out decisive actions to maintain the ecological emissions and engine life cycle.
{"title":"Engine Oil Impurities and level Monitoring System","authors":"Birali Prasanthi, Komirishetty Saiteja, Kakumani Sravya","doi":"10.35940/ijese.f4266.10111123","DOIUrl":"https://doi.org/10.35940/ijese.f4266.10111123","url":null,"abstract":"The key element for mechanics of every vehicle be it a 2-wheeler, 3-wheeler, 4-wheeler and so on requires engine oil to work smoothly. Engine oil's primary function is to lubricate the moving elements of engines, which are constantly undergoing friction. As a result, friction is decreased, which tends to diminish longevity of engine parts. During combustion, energy is wasted, and mechanical parts rubbing against one another raise engine temperature. With increased usage the engine takes a lot of wear and tear this leads to accumulation of impurities in the oil. The project describes the design and development of an IoT based oil impurities, level monitoring instrument and its operational methodology. This project uses a unique approach with LED spectrophotometry. The developed instrument in the project will do Qualitative and Quantitative assessment of lubricant oil in IC engine’s sump. This in turn aids in carrying out decisive actions to maintain the ecological emissions and engine life cycle.","PeriodicalId":492421,"journal":{"name":"International journal of emerging science and engineering","volume":"101 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136019653","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}
Pub Date : 2023-09-30DOI: 10.35940/ijese.c7895.09111023
Dr. A. Tamilarasi, T. Jawahar Karthick, None R. Dharani, None S. Jeevitha
In the IT sector, employees use systems for more than 6 hs, so they are affected by many health problems. Mostly In the IT sector, employees are affected with eye diseases like eye strain, eye pain, burning sensation, double vision, blurring of vision, and frequent watering. The major goal of this research is to identify the different types of eye problems encountered, the symptoms present, and the population afflicted by eye diseases in order to accurately forecast outcomes using a Machine learning techniques for real-time data sets.
{"title":"Eye Disease Prediction Among Corporate Employees using Machine Learning Techniques","authors":"Dr. A. Tamilarasi, T. Jawahar Karthick, None R. Dharani, None S. Jeevitha","doi":"10.35940/ijese.c7895.09111023","DOIUrl":"https://doi.org/10.35940/ijese.c7895.09111023","url":null,"abstract":"In the IT sector, employees use systems for more than 6 hs, so they are affected by many health problems. Mostly In the IT sector, employees are affected with eye diseases like eye strain, eye pain, burning sensation, double vision, blurring of vision, and frequent watering. The major goal of this research is to identify the different types of eye problems encountered, the symptoms present, and the population afflicted by eye diseases in order to accurately forecast outcomes using a Machine learning techniques for real-time data sets.","PeriodicalId":492421,"journal":{"name":"International journal of emerging science and engineering","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136277311","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}
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