Buildings with photovoltaic glazing systems using IoT (BIPV) is an innovative technology that has the potential to not only generate electricity but also reduce energy consumption. BIPV systems are integrated into the building envelope, which means they serve the dual purpose of generating power and acting as a structural element of the building. This article is explaining the working and IoT-based control mechanism of a prototype model of Buildings with photovoltaic glazing systems, also called BIPV (Building-integrated photovoltaics). BIPV is an innovative technology that can reduce energy consumption apart from electricity production. As the population is increasing there is also an increase in the usage of electricity. To accommodate easy access to electricity, we designed a prototype model of photovoltaic glazing system using IoT. The integration of photovoltaic (PV) systems into buildings has gained significant attention due to the increasing demand for renewable energy sources and the need for sustainable building practices. IoT-enabled PV systems utilize smart sensors, data analytics, and automation to monitor and optimize solar energy’s generation, consumption, and storage, resulting in improved energy management and cost savings. The future of PV glazing systems looks promising with potential advancements in efficiency, integration, aesthetics, energy storage, smart connectivity, cost reduction, and sustainable building certifications.
{"title":"Buildings with Photovoltaic Glazing System Using IoT","authors":"Diksha Bhagat, Harshit Khare, Neha Verma Gour","doi":"10.59544/ijatem2","DOIUrl":"https://doi.org/10.59544/ijatem2","url":null,"abstract":"Buildings with photovoltaic glazing systems using IoT (BIPV) is an innovative technology that has the potential to not only generate electricity but also reduce energy consumption. BIPV systems are integrated into the building envelope, which means they serve the dual purpose of generating power and acting as a structural element of the building. This article is explaining the working and IoT-based control mechanism of a prototype model of Buildings with photovoltaic glazing systems, also called BIPV (Building-integrated photovoltaics). BIPV is an innovative technology that can reduce energy consumption apart from electricity production. As the population is increasing there is also an increase in the usage of electricity. To accommodate easy access to electricity, we designed a prototype model of photovoltaic glazing system using IoT. The integration of photovoltaic (PV) systems into buildings has gained significant attention due to the increasing demand for renewable energy sources and the need for sustainable building practices. IoT-enabled PV systems utilize smart sensors, data analytics, and automation to monitor and optimize solar energy’s generation, consumption, and storage, resulting in improved energy management and cost savings. The future of PV glazing systems looks promising with potential advancements in efficiency, integration, aesthetics, energy storage, smart connectivity, cost reduction, and sustainable building certifications.","PeriodicalId":297148,"journal":{"name":"International Journal of Advanced Trends in Engineering and Management","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126250538","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 : 2022-06-01DOI: 10.59544/mapr7372/ijatemv02i05p3
Roshni V Jose, Siva Prasad
The design and development of the Internet of Things (IoT) have a remarkable advancements in recent years. An “Internet of Things” (IoT) is a term used to describe an interconnection of physical objects with a network that incorporates software, sensors, and other devices to exchange information. Because patient health records (PHR) are valuable and significant, security is the most crucial component of encryption over the Internet. Sensitive data is typically secured by a third party during transmission in an IoT setting, which leads to complex and sometimes deadly problems. To address security issues and do away with third parties’ involvement in an IoT environment, blockchain technology is the modern solution. The idea of a secure blockchain for Internet of Things (IoT) health applications is presented in this paper. Electronic health records (EHRs), which are used to deliver healthcare directly to patients while reducing physical contact between patients and healthcare providers, are the health information that is collected and saved electronically for educational purposes in today’s healthcare. Decision makers can enhance the healthcare industry and gain from the current e-government cloud computing infrastructure by using the provided framework. As a result, the proposed Blockchain work enhances the dependability of IoT systems. It also has the potential to reduce costs and boost efficiency.
{"title":"A Blockchain Framework of Improved Security for Internet of Things Health Applications","authors":"Roshni V Jose, Siva Prasad","doi":"10.59544/mapr7372/ijatemv02i05p3","DOIUrl":"https://doi.org/10.59544/mapr7372/ijatemv02i05p3","url":null,"abstract":"The design and development of the Internet of Things (IoT) have a remarkable advancements in recent years. An “Internet of Things” (IoT) is a term used to describe an interconnection of physical objects with a network that incorporates software, sensors, and other devices to exchange information. Because patient health records (PHR) are valuable and significant, security is the most crucial component of encryption over the Internet. Sensitive data is typically secured by a third party during transmission in an IoT setting, which leads to complex and sometimes deadly problems. To address security issues and do away with third parties’ involvement in an IoT environment, blockchain technology is the modern solution. The idea of a secure blockchain for Internet of Things (IoT) health applications is presented in this paper. Electronic health records (EHRs), which are used to deliver healthcare directly to patients while reducing physical contact between patients and healthcare providers, are the health information that is collected and saved electronically for educational purposes in today’s healthcare. Decision makers can enhance the healthcare industry and gain from the current e-government cloud computing infrastructure by using the provided framework. As a result, the proposed Blockchain work enhances the dependability of IoT systems. It also has the potential to reduce costs and boost efficiency.","PeriodicalId":297148,"journal":{"name":"International Journal of Advanced Trends in Engineering and Management","volume":"125 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116033669","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 : 2022-06-01DOI: 10.59544/ofek3869/ijatemv02i05p2
K. Esha, I. Revina
The efficient fault diagnostic techniques are needed to assure stability and dependability of mechanically operated equipment in the evolution integrated large scale industrial applications. The Deep Learning (DL) based approaches have a broader range of potential applications because of their end-end encrypted qualities, which are in contrast to the time commitment and poorly maintained performance of standard Machine Learning (ML) based approaches. Nevertheless, the DL methods has some issues including more number of activation functions, challenging control parameter tuning and restrict the system performance etc. Therefore, this paper suggests using accurate Convolutional Neural Network (CNN) and Transfer Learning (TL) to determine problems in intelligent machines. With help of TL algorithm, the high accuracy is attained. Furthermore, Continuous Wavelet Transformation (CWT) is used in data processing to transform vibration signals into 2-D images, and CNNs is used in place of fully connected layers to improve classification. The obtained results of the confusion matrices and convergence curve is evaluated in Python Jupiter platform. These findings shows that the proposed technique is accomplished the highest accuracy under a wide range of conditions.
{"title":"Intelligent Machine Fault Diagnosis Using Accurate CNN and Transfer Learning","authors":"K. Esha, I. Revina","doi":"10.59544/ofek3869/ijatemv02i05p2","DOIUrl":"https://doi.org/10.59544/ofek3869/ijatemv02i05p2","url":null,"abstract":"The efficient fault diagnostic techniques are needed to assure stability and dependability of mechanically operated equipment in the evolution integrated large scale industrial applications. The Deep Learning (DL) based approaches have a broader range of potential applications because of their end-end encrypted qualities, which are in contrast to the time commitment and poorly maintained performance of standard Machine Learning (ML) based approaches. Nevertheless, the DL methods has some issues including more number of activation functions, challenging control parameter tuning and restrict the system performance etc. Therefore, this paper suggests using accurate Convolutional Neural Network (CNN) and Transfer Learning (TL) to determine problems in intelligent machines. With help of TL algorithm, the high accuracy is attained. Furthermore, Continuous Wavelet Transformation (CWT) is used in data processing to transform vibration signals into 2-D images, and CNNs is used in place of fully connected layers to improve classification. The obtained results of the confusion matrices and convergence curve is evaluated in Python Jupiter platform. These findings shows that the proposed technique is accomplished the highest accuracy under a wide range of conditions.","PeriodicalId":297148,"journal":{"name":"International Journal of Advanced Trends in Engineering and Management","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131866933","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 : 2022-06-01DOI: 10.59544/fmwo2665/ijatemv02i05p4
In greenhouses, plants like flowers and vegetables are grown. Daytime sunshine heats the soil, plants and structure itself inside greenhouses. Many farmers struggle to generate respectable income from greenhouse crops as a result of their failure to manage two essential factors that influence plant development and productivity. Temperatures in greenhouses shouldn’t drop unless certain circumstances apply. The effects of high humidity include crop transpiration, water vapour condensation on various greenhouse surfaces and water evaporation from moist soil. These issues are addressed by the monitoring and management system for greenhouses. This study shows how to develop and use a variety of sensors for monitoring and controlling the greenhouse environment. The temperature and humidity sensors, soil moisture sensor, Node-MCU module and water pump are all part of this greenhouse control system, which is run by an Atmega328 microprocessor. The utilization of solar panels ensures constant power supply. Temperature and humidity in the atmosphere are measured through a DH11 sensor. The pumps turn on as the soil moisture sensor detects a reduction in the soil’s water content. Monitoring and managing the system will be simple in this manner. The IOT module (ESP8266) receives data pertaining to these parameters at the same time. Regardless of any threshold mismatch identified, the data is delivered at regular intervals to IOT. The ESP8266 Node-Microcontroller, the DHT11 sensor, a solar panel and a soil moisture sensor are all used in this project. The Wi-Fi module built inside the microcontroller transmits the data to cloud database of the BLYNK app.
{"title":"Renewable Energy Based Green House Environment Monitoring System Using IOT","authors":"","doi":"10.59544/fmwo2665/ijatemv02i05p4","DOIUrl":"https://doi.org/10.59544/fmwo2665/ijatemv02i05p4","url":null,"abstract":"In greenhouses, plants like flowers and vegetables are grown. Daytime sunshine heats the soil, plants and structure itself inside greenhouses. Many farmers struggle to generate respectable income from greenhouse crops as a result of their failure to manage two essential factors that influence plant development and productivity. Temperatures in greenhouses shouldn’t drop unless certain circumstances apply. The effects of high humidity include crop transpiration, water vapour condensation on various greenhouse surfaces and water evaporation from moist soil. These issues are addressed by the monitoring and management system for greenhouses. This study shows how to develop and use a variety of sensors for monitoring and controlling the greenhouse environment. The temperature and humidity sensors, soil moisture sensor, Node-MCU module and water pump are all part of this greenhouse control system, which is run by an Atmega328 microprocessor. The utilization of solar panels ensures constant power supply. Temperature and humidity in the atmosphere are measured through a DH11 sensor. The pumps turn on as the soil moisture sensor detects a reduction in the soil’s water content. Monitoring and managing the system will be simple in this manner. The IOT module (ESP8266) receives data pertaining to these parameters at the same time. Regardless of any threshold mismatch identified, the data is delivered at regular intervals to IOT. The ESP8266 Node-Microcontroller, the DHT11 sensor, a solar panel and a soil moisture sensor are all used in this project. The Wi-Fi module built inside the microcontroller transmits the data to cloud database of the BLYNK app.","PeriodicalId":297148,"journal":{"name":"International Journal of Advanced Trends in Engineering and Management","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130305308","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 : 2022-06-01DOI: 10.59544/exgs9072/ijatemv02i05p1
E. V. Dharshini, K. Thangam
In the recent years, the big data world has developed a cloud with strong storage management that can verify data integrity and maintain one data duplicate. The data deduplication (DD) issue has been solved by the development of numerous cloud auditing storage techniques, but these methods are weak and unable to withstand brute force attacks. In this paper, the proposed technique explore a three-tier cross-domain architecture and suggest a fast and private huge data deduplication in cloud storage. EPCDD achieves data availability as well as privacy preservation while resisting brute-force attacks. In order to provide better privacy protections than previous systems, this method take accountability into consideration. In terms of compute, communication and storage overheads and then it show that EPCDD performs better than currently used competitive strategies. However, since users and data owners may not be confident in cloud storage providers, data will likely be encrypted before outsourcing. Since different users encrypt identical data in different ways, deduplication efforts are complicated. As a result, to examine the performance of the proposed work is utilizing the java software.
{"title":"A Blockchain Framework of Improved Security for Internet of Things Health Applications","authors":"E. V. Dharshini, K. Thangam","doi":"10.59544/exgs9072/ijatemv02i05p1","DOIUrl":"https://doi.org/10.59544/exgs9072/ijatemv02i05p1","url":null,"abstract":"In the recent years, the big data world has developed a cloud with strong storage management that can verify data integrity and maintain one data duplicate. The data deduplication (DD) issue has been solved by the development of numerous cloud auditing storage techniques, but these methods are weak and unable to withstand brute force attacks. In this paper, the proposed technique explore a three-tier cross-domain architecture and suggest a fast and private huge data deduplication in cloud storage. EPCDD achieves data availability as well as privacy preservation while resisting brute-force attacks. In order to provide better privacy protections than previous systems, this method take accountability into consideration. In terms of compute, communication and storage overheads and then it show that EPCDD performs better than currently used competitive strategies. However, since users and data owners may not be confident in cloud storage providers, data will likely be encrypted before outsourcing. Since different users encrypt identical data in different ways, deduplication efforts are complicated. As a result, to examine the performance of the proposed work is utilizing the java software.","PeriodicalId":297148,"journal":{"name":"International Journal of Advanced Trends in Engineering and Management","volume":"201 10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120986217","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 : 2022-06-01DOI: 10.59544/exgs9072/v02i05p1
E. V. Dharshini, K. Thangam
In the recent years, the big data world has developed a cloud with strong storage management that can verify data integrity and maintain one data duplicate. The data deduplication (DD) issue has been solved by the development of numerous cloud auditing storage techniques, but these methods are weak and unable to withstand brute force attacks. In this paper, the proposed technique explore a three-tier cross-domain architecture and suggest a fast and private huge data deduplication in cloud storage. EPCDD achieves data availability as well as privacy preservation while resisting brute-force attacks. In order to provide better privacy protections than previous systems, this method take accountability into consideration. In terms of compute, communication and storage overheads and then it show that EPCDD performs better than currently used competitive strategies. However, since users and data owners may not be confident in cloud storage providers, data will likely be encrypted before outsourcing. Since different users encrypt identical data in different ways, deduplication efforts are complicated. As a result, to examine the performance of the proposed work is utilizing the java software.
{"title":"Effective and Privacy Protecting Cross Domain Deduplication in Cloud","authors":"E. V. Dharshini, K. Thangam","doi":"10.59544/exgs9072/v02i05p1","DOIUrl":"https://doi.org/10.59544/exgs9072/v02i05p1","url":null,"abstract":"In the recent years, the big data world has developed a cloud with strong storage management that can verify data integrity and maintain one data duplicate. The data deduplication (DD) issue has been solved by the development of numerous cloud auditing storage techniques, but these methods are weak and unable to withstand brute force attacks. In this paper, the proposed technique explore a three-tier cross-domain architecture and suggest a fast and private huge data deduplication in cloud storage. EPCDD achieves data availability as well as privacy preservation while resisting brute-force attacks. In order to provide better privacy protections than previous systems, this method take accountability into consideration. In terms of compute, communication and storage overheads and then it show that EPCDD performs better than currently used competitive strategies. However, since users and data owners may not be confident in cloud storage providers, data will likely be encrypted before outsourcing. Since different users encrypt identical data in different ways, deduplication efforts are complicated. As a result, to examine the performance of the proposed work is utilizing the java software.","PeriodicalId":297148,"journal":{"name":"International Journal of Advanced Trends in Engineering and Management","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126654979","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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