Pub Date : 2023-11-06DOI: 10.2174/0118722121259044230920075604
R. Kavin, J. Jayakumar
Abstract: Power generation in today’s world is of utmost importance, due to which blockchain is used for the categorization and formation of decentralized structures. This paper has proposed decentralized energy generation using a nester, i.e., energy sharing without third-party intervention. Decentralized blockchain technology is applied to ensure power sharing between buyer and seller, and also to achieve efficient power transmission between prosumer and consumer. Energy management is associated with controlling and reducing energy consumption. Blockchain technology plays a major role in distributed power generation, for example, power-sharing (solar and wind energy), price fixation, energy transaction monitoring, and peer-to-peer power-sharing. These are operations performed by blockchain in renewable power generation. Solar power generation using blockchain technology can obtain an impact resting upon the power generation system. Distributed ledger is the key area of blockchain technology for recording and tracking each transaction in the distribution system to improve the efficiency of the overall transmission system. A smart contract is another important tool in the blockchain technology, which is issued to confirm an assent between buyer and seller before starting any energy transaction without external intervention and also to avoid time delay. Maximum power point tracking is conducted in PV cells using blockchain technology. Blockchain influences energy management systems to improve the utilization of energy, optimize energy usage, and also to reduce the cost.
{"title":"Energy Management System for Distributed Energy Resources Using Blockchain Technology","authors":"R. Kavin, J. Jayakumar","doi":"10.2174/0118722121259044230920075604","DOIUrl":"https://doi.org/10.2174/0118722121259044230920075604","url":null,"abstract":"Abstract: Power generation in today’s world is of utmost importance, due to which blockchain is used for the categorization and formation of decentralized structures. This paper has proposed decentralized energy generation using a nester, i.e., energy sharing without third-party intervention. Decentralized blockchain technology is applied to ensure power sharing between buyer and seller, and also to achieve efficient power transmission between prosumer and consumer. Energy management is associated with controlling and reducing energy consumption. Blockchain technology plays a major role in distributed power generation, for example, power-sharing (solar and wind energy), price fixation, energy transaction monitoring, and peer-to-peer power-sharing. These are operations performed by blockchain in renewable power generation. Solar power generation using blockchain technology can obtain an impact resting upon the power generation system. Distributed ledger is the key area of blockchain technology for recording and tracking each transaction in the distribution system to improve the efficiency of the overall transmission system. A smart contract is another important tool in the blockchain technology, which is issued to confirm an assent between buyer and seller before starting any energy transaction without external intervention and also to avoid time delay. Maximum power point tracking is conducted in PV cells using blockchain technology. Blockchain influences energy management systems to improve the utilization of energy, optimize energy usage, and also to reduce the cost.","PeriodicalId":40022,"journal":{"name":"Recent Patents on Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135681650","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 : 2023-11-03DOI: 10.2174/0118722121233419231005093708
Veeramanickam M R M, Gaganpreet Kaur, Amevi Acakpovi, Pavan Kumar Vadrevu, Ciro Rodriguez R., A. V. Kalpana
Background:: Recently, e-learning has become a very basic, integral part of technologybased learning. Wide trends are increasing day by day because of the demands and its usage based on working remotely due to highly penetrated mobile handheld devices and digital media. The smart campus infrastructure has played a vital role to its full extent towards Z millennium students in the 20th century. The teaching and learning accessibility depends on terms of various cost-based affordable platforms, either with synchronous learning or asynchronous mode of learning. Methods:: The current research explores the changeling leading to infrastructural reforms as per the need for digital media for e-learning during and after COVID-19 spreads. The perspectives in 2 forms of research study are: 1st working on infrastructural needs and demands for the smart campuses and online learning challenges and 2nd is working on platforms technology utilization for better accessible resources for all learners. This work studied different aspects during and after COVID-19, leading to the importance of uninterrupted internet access, phone, hardware and reliability, etc. In this work, the importance of gamification study and flipped classrooms for enhancing learner performance to highly engage them in learning environments focused research model on learner engagement on Gamified perceiving study with Smart PLS-SEM was investigated. Promoting sustainability in its entirety through knowledge transfer and contributions to address various challenges in the redesign of learners' syllabi to meet educational needs, emphasizing online learning to integrate various modes of learner platforms, personalized teaching and learning, peer-to-peer communication for learner enhancement, and student engagement through gamification are studied. Results:: Learners who are enrolled at the school, college, and university levels of education increased exponentially post-COVID-19. More than 90% responded to school closures with different learning abilities. Nearly 50% of countries in the world are merging guidance with faculty training. The enrolment in online courses has surged to more than 80%, and the success rates for online courses have increased to more than 70%. The eventual outcome is to emphasize the two aspects of the online platform of teaching and learning by giving students higher outcomes and intelligent aspects of a smart campus. The learners progress in terms of less network connectivity loss, efficient chat system, knowledge sharing, online assessments, micro-learning, increasing engagement, and gamification rewards in online learning. PLS-SEM results indicate the fitness values for a fit model with x2/df as 1.50 and RMSEA as 0.059. Conclusion:: From the learning prospective, the research focuses on inferring the importance of gamified learning applications for student learning satisfaction levels. This enhances and improves their fun learning competence.
{"title":"Sustainable Teaching and Learning E-learning Model towards Redesigning Transformative Learning Model for Knowledge Sharing & Infrastructure Enhancements Post COVID-19","authors":"Veeramanickam M R M, Gaganpreet Kaur, Amevi Acakpovi, Pavan Kumar Vadrevu, Ciro Rodriguez R., A. V. Kalpana","doi":"10.2174/0118722121233419231005093708","DOIUrl":"https://doi.org/10.2174/0118722121233419231005093708","url":null,"abstract":"Background:: Recently, e-learning has become a very basic, integral part of technologybased learning. Wide trends are increasing day by day because of the demands and its usage based on working remotely due to highly penetrated mobile handheld devices and digital media. The smart campus infrastructure has played a vital role to its full extent towards Z millennium students in the 20th century. The teaching and learning accessibility depends on terms of various cost-based affordable platforms, either with synchronous learning or asynchronous mode of learning. Methods:: The current research explores the changeling leading to infrastructural reforms as per the need for digital media for e-learning during and after COVID-19 spreads. The perspectives in 2 forms of research study are: 1st working on infrastructural needs and demands for the smart campuses and online learning challenges and 2nd is working on platforms technology utilization for better accessible resources for all learners. This work studied different aspects during and after COVID-19, leading to the importance of uninterrupted internet access, phone, hardware and reliability, etc. In this work, the importance of gamification study and flipped classrooms for enhancing learner performance to highly engage them in learning environments focused research model on learner engagement on Gamified perceiving study with Smart PLS-SEM was investigated. Promoting sustainability in its entirety through knowledge transfer and contributions to address various challenges in the redesign of learners' syllabi to meet educational needs, emphasizing online learning to integrate various modes of learner platforms, personalized teaching and learning, peer-to-peer communication for learner enhancement, and student engagement through gamification are studied. Results:: Learners who are enrolled at the school, college, and university levels of education increased exponentially post-COVID-19. More than 90% responded to school closures with different learning abilities. Nearly 50% of countries in the world are merging guidance with faculty training. The enrolment in online courses has surged to more than 80%, and the success rates for online courses have increased to more than 70%. The eventual outcome is to emphasize the two aspects of the online platform of teaching and learning by giving students higher outcomes and intelligent aspects of a smart campus. The learners progress in terms of less network connectivity loss, efficient chat system, knowledge sharing, online assessments, micro-learning, increasing engagement, and gamification rewards in online learning. PLS-SEM results indicate the fitness values for a fit model with x2/df as 1.50 and RMSEA as 0.059. Conclusion:: From the learning prospective, the research focuses on inferring the importance of gamified learning applications for student learning satisfaction levels. This enhances and improves their fun learning competence.","PeriodicalId":40022,"journal":{"name":"Recent Patents on Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135874569","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}
Purpose:: Any electronic device that delivers a collection of data, whether it be text referring to full text databases, electronic journals, photographs, other multimedia goods, or quantitative, visualizations, or time-based, is referred to as an electronic resource. These could be transmitted over the internet, tape, CD-ROM, tablets, smartphones, smart watches or another medium, these are now the basis of e-learning. Online searching has made it possible to get patent information more quickly, affordably, and conveniently than the traditional manual or CD-ROM based searching method. The ability to create and distribute documents in electronic form is now made possible by a number of established procedures and standards. So, in order to address the current problems, librarians are utilizing new media, particularly electronic resources, in their collection expansion makes the documentation of users better. As we can see, utilizing online resources is important in the modern world for a multitude of purposes. Because of this, it's important to understand the preferences, motives and usage of various ‘e- resources used by students who use online learning’. The aim of the present research paper was to examine the impact of e-resources using its usage and reading preferences. In this study, reasons such as time saving, more information, and busy schedule at college are considered . Methodology:: Primary data was gathered from 250 students from Mumbai and Navi Mumbai who are using e-resources through the pre-structured questionnaire. The responses collected were recorded using the SPSS software for data analysis. In order to examine the link between causes, preferences, and the use of ‘e-resources’, a theoretical construct was developed grounded on a few assumptions. Statistical techniques like the chi-square test were used and data analysis was done using SPSS version 20 to examine the proposed construct. When doing the data analysis, the demographic profile, objectives, and hypothesis were all taken into consideration. Result:: The average for each component that is time saving, more informative, and busy schedule at college was computed and was determined as 0.004, 0.004, and 0.000, correspondingly, for time saving, more informative content, and busy college schedule. As all of these values for all of the preferences under consideration are less than 0.05, it is clear that there is a connection between the usage of electronic resources and their underlying reasons and preferences. Conclusion:: Hence, there is a substantial correlation between the reasons for using electronic resources and the different reading preferences, as well as between the two. Only three reasons namely time saving, more informative, and busy schedule at college are considered during this study. Data collection is done from Mumbai and Navi Mumbai region only.
{"title":"Assessing the Impact of E-learning through Usage and Preference of E-resources","authors":"Manisha Waghmode, Manisha Shukla, Deepti Sinha, Jayashree S. Awati, Anjali Kalse, Jyoti Kharade","doi":"10.2174/0118722121260159231025095544","DOIUrl":"https://doi.org/10.2174/0118722121260159231025095544","url":null,"abstract":"Purpose:: Any electronic device that delivers a collection of data, whether it be text referring to full text databases, electronic journals, photographs, other multimedia goods, or quantitative, visualizations, or time-based, is referred to as an electronic resource. These could be transmitted over the internet, tape, CD-ROM, tablets, smartphones, smart watches or another medium, these are now the basis of e-learning. Online searching has made it possible to get patent information more quickly, affordably, and conveniently than the traditional manual or CD-ROM based searching method. The ability to create and distribute documents in electronic form is now made possible by a number of established procedures and standards. So, in order to address the current problems, librarians are utilizing new media, particularly electronic resources, in their collection expansion makes the documentation of users better. As we can see, utilizing online resources is important in the modern world for a multitude of purposes. Because of this, it's important to understand the preferences, motives and usage of various ‘e- resources used by students who use online learning’. The aim of the present research paper was to examine the impact of e-resources using its usage and reading preferences. In this study, reasons such as time saving, more information, and busy schedule at college are considered . Methodology:: Primary data was gathered from 250 students from Mumbai and Navi Mumbai who are using e-resources through the pre-structured questionnaire. The responses collected were recorded using the SPSS software for data analysis. In order to examine the link between causes, preferences, and the use of ‘e-resources’, a theoretical construct was developed grounded on a few assumptions. Statistical techniques like the chi-square test were used and data analysis was done using SPSS version 20 to examine the proposed construct. When doing the data analysis, the demographic profile, objectives, and hypothesis were all taken into consideration. Result:: The average for each component that is time saving, more informative, and busy schedule at college was computed and was determined as 0.004, 0.004, and 0.000, correspondingly, for time saving, more informative content, and busy college schedule. As all of these values for all of the preferences under consideration are less than 0.05, it is clear that there is a connection between the usage of electronic resources and their underlying reasons and preferences. Conclusion:: Hence, there is a substantial correlation between the reasons for using electronic resources and the different reading preferences, as well as between the two. Only three reasons namely time saving, more informative, and busy schedule at college are considered during this study. Data collection is done from Mumbai and Navi Mumbai region only.","PeriodicalId":40022,"journal":{"name":"Recent Patents on Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135874570","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 : 2023-11-02DOI: 10.2174/0118722121242190230921070510
Gajendrasinh N. Mori, Priya Swaminarayan, Ronak Panchal
Today, Internet of Things applications offer new opportunities in all domains like home automation, transportation, medical diagnosis, agriculture, etc. According to McKinsey Global Institute research, IoT will cover a market share of over $11.1 trillion by 2025. Moreover, Semantic web technology approaches are used in IoT applications so that machines can understand and interpret sensor-collected data. Our proposed system uses a DHT11 sensor, NodeMCU for data collection, and ThingSpeak cloud for data analysis and visualization. It utilizes the Protégé tool to develop semantic data modelling using Ontology/RDF graphs and retrieval for future SPARQL queries. This approach ensures the optimal presentation of sensor data and the meaning of data and controls the information for the Home Automation System. By semantic layer, we improved integration, interoperability, discovery, and data analysis. As far as applications are concerned, semantic technologies and IoT sensor data can be transformed into a more valuable and practical format, enabling intelligent applications and systems development across multiple fields, such as smart cities, industrial automation, healthcare, and environmental monitoring.
{"title":"Knowledge Representation of Sensor Dataset with IoT Collaboration of Semantic Web and IoT: Storage of Temperature and Humidity Details","authors":"Gajendrasinh N. Mori, Priya Swaminarayan, Ronak Panchal","doi":"10.2174/0118722121242190230921070510","DOIUrl":"https://doi.org/10.2174/0118722121242190230921070510","url":null,"abstract":"Today, Internet of Things applications offer new opportunities in all domains like home automation, transportation, medical diagnosis, agriculture, etc. According to McKinsey Global Institute research, IoT will cover a market share of over $11.1 trillion by 2025. Moreover, Semantic web technology approaches are used in IoT applications so that machines can understand and interpret sensor-collected data. Our proposed system uses a DHT11 sensor, NodeMCU for data collection, and ThingSpeak cloud for data analysis and visualization. It utilizes the Protégé tool to develop semantic data modelling using Ontology/RDF graphs and retrieval for future SPARQL queries. This approach ensures the optimal presentation of sensor data and the meaning of data and controls the information for the Home Automation System. By semantic layer, we improved integration, interoperability, discovery, and data analysis. As far as applications are concerned, semantic technologies and IoT sensor data can be transformed into a more valuable and practical format, enabling intelligent applications and systems development across multiple fields, such as smart cities, industrial automation, healthcare, and environmental monitoring.","PeriodicalId":40022,"journal":{"name":"Recent Patents on Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139290253","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 : 2023-11-02DOI: 10.2174/0118722121241098230926064800
Chaithra M H, Vagdevi S
Background: The Cloud model is one of the most realistic frameworks with a vast range of social networking interactions. In medical data, security is a major constraint as it incorporates information about the patients. The cloud environment subjected to mobility and openness is exposed to security issues and limits authorization levels for data transmission. Objective: This paper aims to propose a security model for attack prevention within the healthcare environment. Method: The proposed Cryptographic Attribute-based Machine Learning (CAML) scheme incorporates three stages. Initially, the homomorphic encryption escrow is performed for secure data transmission in the cloud. Secondly, the information of the users is evaluated based on the consideration of users' authorization. The authorization process for the users is carried out with the attribute-based ECC technique. Finally, the ML model with the classifier is applied for the detection and classification of attacks in the medical network. Results: The detected attack is computed and processed with the CNN model. Simulation analysis is performed for the proposed CAML with conventional ANN, CNN, and RNN models. The simulation analysis of proposed CAML achieves a higher accuracy of 0.96 while conventional SVM, RF, and DT achieve an accuracy of 0.82, 0.89 and 0.93, respectively. Conclusion: Conclusion: With the analysis, it is concluded that the proposed CAML model achieves higher classification accuracy for attack detection and prevention in the cloud computing environment.
{"title":"CAML: Cryptographic-Based Cloud Security for Healthcare Data with Machine Learning Technique","authors":"Chaithra M H, Vagdevi S","doi":"10.2174/0118722121241098230926064800","DOIUrl":"https://doi.org/10.2174/0118722121241098230926064800","url":null,"abstract":"Background: The Cloud model is one of the most realistic frameworks with a vast range of social networking interactions. In medical data, security is a major constraint as it incorporates information about the patients. The cloud environment subjected to mobility and openness is exposed to security issues and limits authorization levels for data transmission. Objective: This paper aims to propose a security model for attack prevention within the healthcare environment. Method: The proposed Cryptographic Attribute-based Machine Learning (CAML) scheme incorporates three stages. Initially, the homomorphic encryption escrow is performed for secure data transmission in the cloud. Secondly, the information of the users is evaluated based on the consideration of users' authorization. The authorization process for the users is carried out with the attribute-based ECC technique. Finally, the ML model with the classifier is applied for the detection and classification of attacks in the medical network. Results: The detected attack is computed and processed with the CNN model. Simulation analysis is performed for the proposed CAML with conventional ANN, CNN, and RNN models. The simulation analysis of proposed CAML achieves a higher accuracy of 0.96 while conventional SVM, RF, and DT achieve an accuracy of 0.82, 0.89 and 0.93, respectively. Conclusion: Conclusion: With the analysis, it is concluded that the proposed CAML model achieves higher classification accuracy for attack detection and prevention in the cloud computing environment.","PeriodicalId":40022,"journal":{"name":"Recent Patents on Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135974641","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 : 2023-11-01DOI: 10.2174/0118722121256663231019061211
A. Anandaraj, P.J.A. Alphonse
Background:: Epilepsy is a neurological disorder that leads to seizures. This occurs due to excessive electrical discharge by the brain cells. An effective seizure prediction model can aid in improving the lifestyle of epilepsy patients. After analyzing various patents related to seizure prediction, it is observed that monitoring electroencephalography (EEG) signals of epileptic patients is an important task for the early diagnosis of seizures. Objective:: The main objective of this paper is to assist epileptic patients to enhance their way of living by predicting the seizure in advance. Methods:: This paper builds a feature augmentation-based multi-model ensemble-based architecture for seizure prediction. The proposed technique is divided into 2 broad categories; feature augmentation and ensemble modeling. The feature augmentation process builds temporal features while the multi-model ensemble has been designed to handle the high complexity levels of the EEG data. The first phase of the multi-model ensemble has been designed with heterogeneous classifier models. The second phase is based on the prediction results obtained from the first phase. Experiments were performed using the seizure prediction dataset from the University Hospital of Bonn. Results:: Comparison indicates 98.7% accuracy, with improvement of 5% from the existing model. High prediction levels indicate that the model is highly capable of providing accurate seizure predictions, hence ensuring its applicability in real time. Conclusion:: The result of this paper has been compared with existing methods of predicting seizures and it indicated that the proposed model has better enhancement in the accuracy levels. other: .
{"title":"Seizure Prediction on EEG Signals using Feature Augmentation based Multi Model Ensemble","authors":"A. Anandaraj, P.J.A. Alphonse","doi":"10.2174/0118722121256663231019061211","DOIUrl":"https://doi.org/10.2174/0118722121256663231019061211","url":null,"abstract":"Background:: Epilepsy is a neurological disorder that leads to seizures. This occurs due to excessive electrical discharge by the brain cells. An effective seizure prediction model can aid in improving the lifestyle of epilepsy patients. After analyzing various patents related to seizure prediction, it is observed that monitoring electroencephalography (EEG) signals of epileptic patients is an important task for the early diagnosis of seizures. Objective:: The main objective of this paper is to assist epileptic patients to enhance their way of living by predicting the seizure in advance. Methods:: This paper builds a feature augmentation-based multi-model ensemble-based architecture for seizure prediction. The proposed technique is divided into 2 broad categories; feature augmentation and ensemble modeling. The feature augmentation process builds temporal features while the multi-model ensemble has been designed to handle the high complexity levels of the EEG data. The first phase of the multi-model ensemble has been designed with heterogeneous classifier models. The second phase is based on the prediction results obtained from the first phase. Experiments were performed using the seizure prediction dataset from the University Hospital of Bonn. Results:: Comparison indicates 98.7% accuracy, with improvement of 5% from the existing model. High prediction levels indicate that the model is highly capable of providing accurate seizure predictions, hence ensuring its applicability in real time. Conclusion:: The result of this paper has been compared with existing methods of predicting seizures and it indicated that the proposed model has better enhancement in the accuracy levels. other: .","PeriodicalId":40022,"journal":{"name":"Recent Patents on Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135614796","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 : 2023-11-01DOI: 10.2174/0118722121234696231023104602
Hongbo Liu, Bingcheng Liu, Xiaodong Yang
Background: Seat is an important product in work and life, the rationality of its design directly affects people's work efficiency and physical and mental health. Especially in modern vehicles, it has become an inevitable trend to use ergonomics to design the seat of modern vehicles. This paper describes the recent research and development of seat patents based on ergonomics and tries to put forward improvement schemes for the disadvantages of existing vehicle seats. Objective: We summarized the technical contributions made by the existing vehicle seat patent achievements and summarize the existing problems or blank areas not reported. Through the comparison and discussion, the future research direction of the vehicle seat is predicted. Methods: Through tracing the patent varieties of different types of representative seats, the analysis and comparison are carried out from various angles. Results: According to the analysis of recent seat patents, the design of modern seats has gradually formed a scientific, systematic, and standardized system. Conclusion: The structural parameters and materials of seats have been closely combined with the safety and comfort of seats. With the development of science and technology and the innovation of theory, the seats of modern vehicles will develop in the direction of functionality and personalization.
{"title":"Review on the Recent Development of Vehicle Seat Patent","authors":"Hongbo Liu, Bingcheng Liu, Xiaodong Yang","doi":"10.2174/0118722121234696231023104602","DOIUrl":"https://doi.org/10.2174/0118722121234696231023104602","url":null,"abstract":"Background: Seat is an important product in work and life, the rationality of its design directly affects people's work efficiency and physical and mental health. Especially in modern vehicles, it has become an inevitable trend to use ergonomics to design the seat of modern vehicles. This paper describes the recent research and development of seat patents based on ergonomics and tries to put forward improvement schemes for the disadvantages of existing vehicle seats. Objective: We summarized the technical contributions made by the existing vehicle seat patent achievements and summarize the existing problems or blank areas not reported. Through the comparison and discussion, the future research direction of the vehicle seat is predicted. Methods: Through tracing the patent varieties of different types of representative seats, the analysis and comparison are carried out from various angles. Results: According to the analysis of recent seat patents, the design of modern seats has gradually formed a scientific, systematic, and standardized system. Conclusion: The structural parameters and materials of seats have been closely combined with the safety and comfort of seats. With the development of science and technology and the innovation of theory, the seats of modern vehicles will develop in the direction of functionality and personalization.","PeriodicalId":40022,"journal":{"name":"Recent Patents on Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135714386","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 : 2023-11-01DOI: 10.2174/187221211706230328122701
Guanghao Yin, Gang Yao, Kun Zhang, Bingjin Li, Thomas E. Salt, Nobuhisa Iwata, Andre Barciela Veras, Mohammad Mahdi Khalilzadeh Afrooz Arzehgar, Fatemeh Varshoei, Narjes Benameur , Younes Arous, Nejmeddine ben Abdallah, Tarek Kraiem
{"title":"Acknowledgements to Reviewers","authors":"Guanghao Yin, Gang Yao, Kun Zhang, Bingjin Li, Thomas E. Salt, Nobuhisa Iwata, Andre Barciela Veras, Mohammad Mahdi Khalilzadeh Afrooz Arzehgar, Fatemeh Varshoei, Narjes Benameur , Younes Arous, Nejmeddine ben Abdallah, Tarek Kraiem","doi":"10.2174/187221211706230328122701","DOIUrl":"https://doi.org/10.2174/187221211706230328122701","url":null,"abstract":"","PeriodicalId":40022,"journal":{"name":"Recent Patents on Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136102265","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}
Background:: At present, although some scholars have studied liquid carbon dioxide blasting, there are still some problems to be solved, such as the influencing factors of the liquid carbon dioxide blasting effect. Based on the project of Jiu’e railway, this paper studies the influencing factors of liquid carbon dioxide blasting in rock cutting. Objective:: The study aims to show the influence of different blasting hole depths and jet directions on the effect of liquid carbon dioxide blasting and fracture development. Methods:: Considering the influence of jet direction and different blasting hole depth on liquid carbon dioxide blasting in rock cutting, the fracture development law at different blasting hole depths is analyzed, the stress characteristics of jet direction and non-jet direction are discussed, and fracture development process is analyzed in detail from the viewpoint of energy. Moreover, related patents on liquid carbon dioxide blasting devices are also reviewed. The research on law of fracture development and optimal blasting hole depth is the highlight of this paper. Results:: The influence of different blasting hole depths, jet directions on effect of liquid carbon dioxide blasting and fracture development is analyzed, When the depth of blasting hole is 2.5 m, the fractures can extend to bench surface but cannot extend to the bottom of the excavation surface. When the hole depth is 5.0 m, the fractures cannot extend to the bench surface. The fractures can be extended to the bottom of the excavation face and the bench surface when the blasting hole depth is 4.0. Moreover, the liquid carbon dioxide blasting can effectively blast the rock cutting, and the optimal blasting hole depth is 4m. Conclusion:: Through the analysis results, considering the influencing factors of fracture number, fracture length and consumption of blasting energy, a blasting hole depth of 4m is considered the best option.
{"title":"Study on Influencing Factors of Liquid Carbon Dioxide Blasting in Rock Cutting","authors":"Jianwei Li, Guiwen Zhang, Huadong Liu, Shanglong Zhang, Xuansheng Cheng","doi":"10.2174/0118722121253606231026063551","DOIUrl":"https://doi.org/10.2174/0118722121253606231026063551","url":null,"abstract":"Background:: At present, although some scholars have studied liquid carbon dioxide blasting, there are still some problems to be solved, such as the influencing factors of the liquid carbon dioxide blasting effect. Based on the project of Jiu’e railway, this paper studies the influencing factors of liquid carbon dioxide blasting in rock cutting. Objective:: The study aims to show the influence of different blasting hole depths and jet directions on the effect of liquid carbon dioxide blasting and fracture development. Methods:: Considering the influence of jet direction and different blasting hole depth on liquid carbon dioxide blasting in rock cutting, the fracture development law at different blasting hole depths is analyzed, the stress characteristics of jet direction and non-jet direction are discussed, and fracture development process is analyzed in detail from the viewpoint of energy. Moreover, related patents on liquid carbon dioxide blasting devices are also reviewed. The research on law of fracture development and optimal blasting hole depth is the highlight of this paper. Results:: The influence of different blasting hole depths, jet directions on effect of liquid carbon dioxide blasting and fracture development is analyzed, When the depth of blasting hole is 2.5 m, the fractures can extend to bench surface but cannot extend to the bottom of the excavation surface. When the hole depth is 5.0 m, the fractures cannot extend to the bench surface. The fractures can be extended to the bottom of the excavation face and the bench surface when the blasting hole depth is 4.0. Moreover, the liquid carbon dioxide blasting can effectively blast the rock cutting, and the optimal blasting hole depth is 4m. Conclusion:: Through the analysis results, considering the influencing factors of fracture number, fracture length and consumption of blasting energy, a blasting hole depth of 4m is considered the best option.","PeriodicalId":40022,"journal":{"name":"Recent Patents on Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135977221","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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