Abstract Patient education is a crucial part of the efforts to improve the level of medication adherence. Successful diabetes self-management will be achieved if health practitioners (doctors, pharmacists, nurses, and other health-related professionals) provide education to their patients. One of the multimedia platforms that are now popular in patient education and health promotion is video. This study primarily aimed to review published research examining integration of video-based digital interventions into tech-based patient education methods to promote medication adherence in diabetic patients. All of the articles presented in this review were collected from the PubMed, Science Direct, and Sage Publication databases. This review compared study samples, intervention characteristics (length of intervention and learning media), and adherence outcomes, as well as additional outcomes across the studies. Of the 304 articles reviewed, seven studies that met the criteria were found and included in the review. Overall, 57.14% of the integrated video-based interventions demonstrated improved medication adherence and 42.86% demonstrated improvement in other related health outcomes. The interventions were 7 weeks to 6 months in length and were in the form of storytelling with videos, smartphone apps, educational programs, or web-based education. It can be concluded that video-based digital interventions aimed to improve medication adherence in diabetic patients are promising. For optimum outcomes, this study highly suggests that a combination of video (synchronous and asynchronous) and a good patient education program is an ideal form of intervention for patients with type 2 diabetes. Regarding the education platform, the intervention could be humanoid robots, storytelling, mobile health (mHealth) apps, websites, robot-enhanced diabetes care, and other related tech-based programs or even conventional models.
{"title":"Is integrating video into tech-based patient education effective for improving medication adherence? – A review","authors":"M. T. Ghozali","doi":"10.1515/pjbr-2022-0109","DOIUrl":"https://doi.org/10.1515/pjbr-2022-0109","url":null,"abstract":"Abstract Patient education is a crucial part of the efforts to improve the level of medication adherence. Successful diabetes self-management will be achieved if health practitioners (doctors, pharmacists, nurses, and other health-related professionals) provide education to their patients. One of the multimedia platforms that are now popular in patient education and health promotion is video. This study primarily aimed to review published research examining integration of video-based digital interventions into tech-based patient education methods to promote medication adherence in diabetic patients. All of the articles presented in this review were collected from the PubMed, Science Direct, and Sage Publication databases. This review compared study samples, intervention characteristics (length of intervention and learning media), and adherence outcomes, as well as additional outcomes across the studies. Of the 304 articles reviewed, seven studies that met the criteria were found and included in the review. Overall, 57.14% of the integrated video-based interventions demonstrated improved medication adherence and 42.86% demonstrated improvement in other related health outcomes. The interventions were 7 weeks to 6 months in length and were in the form of storytelling with videos, smartphone apps, educational programs, or web-based education. It can be concluded that video-based digital interventions aimed to improve medication adherence in diabetic patients are promising. For optimum outcomes, this study highly suggests that a combination of video (synchronous and asynchronous) and a good patient education program is an ideal form of intervention for patients with type 2 diabetes. Regarding the education platform, the intervention could be humanoid robots, storytelling, mobile health (mHealth) apps, websites, robot-enhanced diabetes care, and other related tech-based programs or even conventional models.","PeriodicalId":90037,"journal":{"name":"Paladyn : journal of behavioral robotics","volume":"57 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88978882","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}
Abstract A growing number of studies investigate the use of robotics therapy for motor (re)habilitation with children with cerebral palsy (CP). Most of these studies use functional robots in very repetitive sessions. While the therapy is effective, very few studies employ social robots, which appears to be a missed opportunity to design more compelling and enjoyable sessions for the children. In this article, we will review robot-assisted upper limb motor (re)habilitation for children with CP. Previous reviews of robot-assisted therapy for CP had mostly focused on lower limbs, or the review was made from a medical point of view, with the sole concern being the therapy’s effectiveness. Here, we focus our review on robot-assisted upper limb (re)habilitation and address human–robot interaction considerations. We searched PubMed, Scopus, and IEEE databases and argue that although this area of research is promising and already effective, it would benefit from the inclusion of social robots for a more engaging and enjoyable experience. We suggest four scenarios that could be developed in this direction. The goal of this article is to highlight the relevance of the past work and encourage the development of new ideas where therapy will socially engage and motivate children.
{"title":"Robot-assisted therapy for upper limb impairments in cerebral palsy: A scoping review and suggestions for future research","authors":"Mélanie Jouaiti, K. Dautenhahn","doi":"10.1515/pjbr-2022-0104","DOIUrl":"https://doi.org/10.1515/pjbr-2022-0104","url":null,"abstract":"Abstract A growing number of studies investigate the use of robotics therapy for motor (re)habilitation with children with cerebral palsy (CP). Most of these studies use functional robots in very repetitive sessions. While the therapy is effective, very few studies employ social robots, which appears to be a missed opportunity to design more compelling and enjoyable sessions for the children. In this article, we will review robot-assisted upper limb motor (re)habilitation for children with CP. Previous reviews of robot-assisted therapy for CP had mostly focused on lower limbs, or the review was made from a medical point of view, with the sole concern being the therapy’s effectiveness. Here, we focus our review on robot-assisted upper limb (re)habilitation and address human–robot interaction considerations. We searched PubMed, Scopus, and IEEE databases and argue that although this area of research is promising and already effective, it would benefit from the inclusion of social robots for a more engaging and enjoyable experience. We suggest four scenarios that could be developed in this direction. The goal of this article is to highlight the relevance of the past work and encourage the development of new ideas where therapy will socially engage and motivate children.","PeriodicalId":90037,"journal":{"name":"Paladyn : journal of behavioral robotics","volume":"10 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73831068","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}
Abstract A method based on the contour coefficient and image processing technology is proposed to better identify the visual elements. This article takes the contour of the image as the recognition feature, summarizes the methods of target contour feature extraction, contour shape representation, and similarity representation, and studies the processing methods of contour edge preserving and denoising, contour feature simplification and description methods, and contour matching methods. This problem can usually be solved by filling out a form. Generally, a simple iterative equation is given to express the direct relationship between the current table and the calculated table values. The dynamic programming algorithm of inner distance shape context, multi-scale convexity convexity, and triangle area representation finds the best sequence correspondence.
{"title":"Visual element recognition based on profile coefficient and image processing technology","authors":"W. Luo","doi":"10.1515/pjbr-2022-0120","DOIUrl":"https://doi.org/10.1515/pjbr-2022-0120","url":null,"abstract":"Abstract A method based on the contour coefficient and image processing technology is proposed to better identify the visual elements. This article takes the contour of the image as the recognition feature, summarizes the methods of target contour feature extraction, contour shape representation, and similarity representation, and studies the processing methods of contour edge preserving and denoising, contour feature simplification and description methods, and contour matching methods. This problem can usually be solved by filling out a form. Generally, a simple iterative equation is given to express the direct relationship between the current table and the calculated table values. The dynamic programming algorithm of inner distance shape context, multi-scale convexity convexity, and triangle area representation finds the best sequence correspondence.","PeriodicalId":90037,"journal":{"name":"Paladyn : journal of behavioral robotics","volume":"151 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76747865","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}
Abstract The demand for electricity globally has led to the search for renewable energy resources for power generation and attaining it in an eco-friendly manner. The solar photovoltaic systems and wind-based generators of power are regarded as primary resources of renewable energy and are called Distributed Generation units as they are scattered in nature. These are operated with bidirectional converters by providing auxiliary services at grid side and load side in either mode of microgrid operation. Besides, the DC power generation units’ integration gets converted into AC system by means of inverters. These types of systems not only increase voltage and current harmonics and power frequency deviations but also drive the distribution system to risky operating zone. This emphasizes the stipulation of advanced control schemes for microgrid architecture. Consequently, power electronic converters introduce harmonics in the system and affect system performance. To report these expanded issues, the authors recognized an advanced custom power device entitled Distributed Power Flow Controller (DPFC). In this study, the proposed system on solar–wind-based hybrid energy approach has been examined primarily through the strategy of DPFC mechanism. Later, the system has been examined with Genetic Algorithm (GA)-based fuzzy logic controller and GA-based adaptive neuro fuzzy inference system controller for shunt control of context built with DPFC mechanism. Furthermore, the validated results are verified using MATLAB/Simulink software.
{"title":"Power quality enhancement of solar–wind grid connected system employing genetic-based ANFIS controller","authors":"Vemuri Sowmya Sree, M. Ankarao","doi":"10.1515/pjbr-2022-0116","DOIUrl":"https://doi.org/10.1515/pjbr-2022-0116","url":null,"abstract":"Abstract The demand for electricity globally has led to the search for renewable energy resources for power generation and attaining it in an eco-friendly manner. The solar photovoltaic systems and wind-based generators of power are regarded as primary resources of renewable energy and are called Distributed Generation units as they are scattered in nature. These are operated with bidirectional converters by providing auxiliary services at grid side and load side in either mode of microgrid operation. Besides, the DC power generation units’ integration gets converted into AC system by means of inverters. These types of systems not only increase voltage and current harmonics and power frequency deviations but also drive the distribution system to risky operating zone. This emphasizes the stipulation of advanced control schemes for microgrid architecture. Consequently, power electronic converters introduce harmonics in the system and affect system performance. To report these expanded issues, the authors recognized an advanced custom power device entitled Distributed Power Flow Controller (DPFC). In this study, the proposed system on solar–wind-based hybrid energy approach has been examined primarily through the strategy of DPFC mechanism. Later, the system has been examined with Genetic Algorithm (GA)-based fuzzy logic controller and GA-based adaptive neuro fuzzy inference system controller for shunt control of context built with DPFC mechanism. Furthermore, the validated results are verified using MATLAB/Simulink software.","PeriodicalId":90037,"journal":{"name":"Paladyn : journal of behavioral robotics","volume":"38 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75154474","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}
Abstract This article discusses the topic of ethics and policy for human interaction with robots. The term “robot ethics” (or roboethics) is generally concerned with ethical problems that may occur when humans and robots interact in social situations or when robots make decisions which could impact human well-being. For example, whether robots pose a threat to humans in warfare, the use of robots as caregivers, or the use of robots which make decisions which could impact historically disadvantaged populations. In each case, the focus of the discussion is predominantly on how to design robots that act ethically toward humans (some refer to this issue as “machine ethics”). Alternatively, robot ethics could refer to the ethics associated with human behavior toward robots especially as robots become active members of society. It is this latter and relatively unexplored view of robot ethics that this article focuses on, and specifically whether robots will be the subject of discriminatory and biased responses from humans based on the robot’s perceived race, gender, or ethnicity. If so, the paper considers what issues are implicated, and how society might respond? From past research, preliminary evidence suggests that acts of discrimination which may be directed against people may also be expressed toward robots experienced in social contexts; therefore, discrimination against robots as a function of their physical design and behavior is an important and timely topic of discussion for robot ethics, human–robot interaction, and the design of social robots.
{"title":"Discrimination against robots: Discussing the ethics of social interactions and who is harmed","authors":"Jessica K. Barfield","doi":"10.1515/pjbr-2022-0113","DOIUrl":"https://doi.org/10.1515/pjbr-2022-0113","url":null,"abstract":"Abstract This article discusses the topic of ethics and policy for human interaction with robots. The term “robot ethics” (or roboethics) is generally concerned with ethical problems that may occur when humans and robots interact in social situations or when robots make decisions which could impact human well-being. For example, whether robots pose a threat to humans in warfare, the use of robots as caregivers, or the use of robots which make decisions which could impact historically disadvantaged populations. In each case, the focus of the discussion is predominantly on how to design robots that act ethically toward humans (some refer to this issue as “machine ethics”). Alternatively, robot ethics could refer to the ethics associated with human behavior toward robots especially as robots become active members of society. It is this latter and relatively unexplored view of robot ethics that this article focuses on, and specifically whether robots will be the subject of discriminatory and biased responses from humans based on the robot’s perceived race, gender, or ethnicity. If so, the paper considers what issues are implicated, and how society might respond? From past research, preliminary evidence suggests that acts of discrimination which may be directed against people may also be expressed toward robots experienced in social contexts; therefore, discrimination against robots as a function of their physical design and behavior is an important and timely topic of discussion for robot ethics, human–robot interaction, and the design of social robots.","PeriodicalId":90037,"journal":{"name":"Paladyn : journal of behavioral robotics","volume":"28 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74551930","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}
Abhishek Gudipalli, Vaibhav Kejriwal, Vaishnavi Patel, Riddhi M. Gupta, Utkarsh Dixit
Abstract The article introduces a novel strategy for efficiently mitigating COVID-19 distribution at the local level due to contact with any surfaces. Our project aims to be a critical safety shield for the general people in the fight against the epidemic. An ultrasonic sensor is integrated with the automated doorbell system to ring the doorbell with a hand motion. A temperature sensor Mlx90614 is also included in the system, which records the temperature of the person standing in front of the door. The device also includes a camera module that captures the image of the person standing at the front entrance. The captured image is processed through an ML model which runs at over 30 fps to detect whether or not the person is wearing a mask. The image and the temperature of the person standing outside are sent to the owner through the configured iOS application. If the person outside is wearing a mask, one can open the door through the app itself and permit the entry of the person standing outside thereby integrating the edge device with an app for a better user experience. The system helps in reducing physical contact, and the results obtained are at par with the already existing solutions and provide a few advantages over them.
{"title":"COVID bell – A smart doorbell solution for prevention of COVID-19","authors":"Abhishek Gudipalli, Vaibhav Kejriwal, Vaishnavi Patel, Riddhi M. Gupta, Utkarsh Dixit","doi":"10.1515/pjbr-2022-0115","DOIUrl":"https://doi.org/10.1515/pjbr-2022-0115","url":null,"abstract":"Abstract The article introduces a novel strategy for efficiently mitigating COVID-19 distribution at the local level due to contact with any surfaces. Our project aims to be a critical safety shield for the general people in the fight against the epidemic. An ultrasonic sensor is integrated with the automated doorbell system to ring the doorbell with a hand motion. A temperature sensor Mlx90614 is also included in the system, which records the temperature of the person standing in front of the door. The device also includes a camera module that captures the image of the person standing at the front entrance. The captured image is processed through an ML model which runs at over 30 fps to detect whether or not the person is wearing a mask. The image and the temperature of the person standing outside are sent to the owner through the configured iOS application. If the person outside is wearing a mask, one can open the door through the app itself and permit the entry of the person standing outside thereby integrating the edge device with an app for a better user experience. The system helps in reducing physical contact, and the results obtained are at par with the already existing solutions and provide a few advantages over them.","PeriodicalId":90037,"journal":{"name":"Paladyn : journal of behavioral robotics","volume":"37 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81129704","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}
Itagi Vijayakumar Manoj, Sannayellappa Narendranath, P. M. Mashinini, Hargovind Soni, S. Rab, Shadab Ahmad, Ahatsham Hayat
Abstract Artificial intelligence (AI), robotics, cybersecurity, the Industrial Internet of Things, and blockchain are some of the technologies and solutions that are combined to produce “smart manufacturing,” which is used to optimize manufacturing processes by creating and/or accepting data. In manufacturing, spark erosion technique such as wire electric discharge machining (WEDM) is a process that machines different hard-to-cut alloys. It is regarded as the solution for cutting intricate parts and materials that are resistant to conventional machining techniques or are required by design. In the present study, holes of different radii, i.e. 1, 3, and 5 mm, have been cut on Nickelvac-HX. Tapering in WEDM is a delicate process to avoid disadvantages such as wire break, wire bend, wire friction, guide wear, and insufficient flushing. Taper angles viz. 0°, 15°, and 30° were obtained from a unique fixture to get holes at different angles. The study also shows the influence of taper angles on the part geometry and area of the holes. Next, the artificial neural network (ANN) technique is implemented for the parametric result prediction. The findings were in good agreement with the experimental data, supporting the viability of the ANN approach for the evaluation of the manufacturing process. The findings in this research provide as a reference to the potential of AI-based assessment in smart manufacturing processes and as a design tool in many manufacturing-related fields.
{"title":"Artificial neural network-based prediction assessment of wire electric discharge machining parameters for smart manufacturing","authors":"Itagi Vijayakumar Manoj, Sannayellappa Narendranath, P. M. Mashinini, Hargovind Soni, S. Rab, Shadab Ahmad, Ahatsham Hayat","doi":"10.1515/pjbr-2022-0118","DOIUrl":"https://doi.org/10.1515/pjbr-2022-0118","url":null,"abstract":"Abstract Artificial intelligence (AI), robotics, cybersecurity, the Industrial Internet of Things, and blockchain are some of the technologies and solutions that are combined to produce “smart manufacturing,” which is used to optimize manufacturing processes by creating and/or accepting data. In manufacturing, spark erosion technique such as wire electric discharge machining (WEDM) is a process that machines different hard-to-cut alloys. It is regarded as the solution for cutting intricate parts and materials that are resistant to conventional machining techniques or are required by design. In the present study, holes of different radii, i.e. 1, 3, and 5 mm, have been cut on Nickelvac-HX. Tapering in WEDM is a delicate process to avoid disadvantages such as wire break, wire bend, wire friction, guide wear, and insufficient flushing. Taper angles viz. 0°, 15°, and 30° were obtained from a unique fixture to get holes at different angles. The study also shows the influence of taper angles on the part geometry and area of the holes. Next, the artificial neural network (ANN) technique is implemented for the parametric result prediction. The findings were in good agreement with the experimental data, supporting the viability of the ANN approach for the evaluation of the manufacturing process. The findings in this research provide as a reference to the potential of AI-based assessment in smart manufacturing processes and as a design tool in many manufacturing-related fields.","PeriodicalId":90037,"journal":{"name":"Paladyn : journal of behavioral robotics","volume":"26 6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83504512","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}
Abstract Aiming at the data preprocessing requirements and label data cost issues arising from the intelligent operation and maintenance of electromechanical equipment, this article mainly studies structured data cleaning methods and fault prediction algorithms for a small number of label samples. First, this article introduces the overall architecture of the intelligent operation and maintenance system for electromechanical equipment. Second, based on the electromechanical equipment operation and maintenance data access service, data cleaning, and fault prediction, this article constructs an electromechanical equipment intelligent operation and maintenance platform based on Kafka message queue, Spark cluster, and other components, and introduces the functional composition of the system in detail. Finally, the article describes the functions of each component of data access service, data cleaning, and fault prediction in detail. To address the cost issue associated with sufficient labeled sample data for data analysis, we propose a semi-supervised learning algorithm, IF-GBDT, based on improved independent forests and Gradient Boosting Decision Tree. The independent forest algorithm supplements labels for unlabeled data based on the learning results of a small number of labeled samples. We also use the gradient lifting tree algorithm to train the model based on the new tag data set for fault prediction, thereby reducing the impact of lack of tags on the accuracy of the prediction model. Experiments show that this method improves classification accuracy and has good adaptability and concurrency performance for a small number of tags.
{"title":"Application of big data technology in electromechanical operation and maintenance intelligent platform","authors":"Wenjuan Yang, Zhongbin Chan, Yang Wang, Fuli Qi","doi":"10.1515/pjbr-2022-0121","DOIUrl":"https://doi.org/10.1515/pjbr-2022-0121","url":null,"abstract":"Abstract Aiming at the data preprocessing requirements and label data cost issues arising from the intelligent operation and maintenance of electromechanical equipment, this article mainly studies structured data cleaning methods and fault prediction algorithms for a small number of label samples. First, this article introduces the overall architecture of the intelligent operation and maintenance system for electromechanical equipment. Second, based on the electromechanical equipment operation and maintenance data access service, data cleaning, and fault prediction, this article constructs an electromechanical equipment intelligent operation and maintenance platform based on Kafka message queue, Spark cluster, and other components, and introduces the functional composition of the system in detail. Finally, the article describes the functions of each component of data access service, data cleaning, and fault prediction in detail. To address the cost issue associated with sufficient labeled sample data for data analysis, we propose a semi-supervised learning algorithm, IF-GBDT, based on improved independent forests and Gradient Boosting Decision Tree. The independent forest algorithm supplements labels for unlabeled data based on the learning results of a small number of labeled samples. We also use the gradient lifting tree algorithm to train the model based on the new tag data set for fault prediction, thereby reducing the impact of lack of tags on the accuracy of the prediction model. Experiments show that this method improves classification accuracy and has good adaptability and concurrency performance for a small number of tags.","PeriodicalId":90037,"journal":{"name":"Paladyn : journal of behavioral robotics","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77651115","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}
Abstract To study the control optimization of conical interference connection system for large piston compressor, the reliability optimization and reliability optimization design of conical interference connection were systematically described. By using the proposed method, the maximum operating reliability can be obtained under the condition of constant interference joint size, namely, reliability optimization. Alternatively, the desired working reliability can be designed into the mating connection by optimizing parameters (combining size and interference), namely, reliability optimization design. Design value of 2.12 compression ratio is significantly higher than the unit level. As a result, the mid-stage exhaust temperature of the unit is as high as 124°C, and it is in high temperature operation state. It has been proved that conical interference connection is widely used in hydraulic transmission device because of its advantages of simple structure, reliable operation, and ability to bear certain impact load, reliable transmission torque than general connection, and convenient assembly and disassembly and has been proved to be reliable in practice.
{"title":"Control optimization of taper interference coupling system for large piston compressor in the smart industries","authors":"Wenwen Sun, Huifang Xia","doi":"10.1515/pjbr-2022-0094","DOIUrl":"https://doi.org/10.1515/pjbr-2022-0094","url":null,"abstract":"Abstract To study the control optimization of conical interference connection system for large piston compressor, the reliability optimization and reliability optimization design of conical interference connection were systematically described. By using the proposed method, the maximum operating reliability can be obtained under the condition of constant interference joint size, namely, reliability optimization. Alternatively, the desired working reliability can be designed into the mating connection by optimizing parameters (combining size and interference), namely, reliability optimization design. Design value of 2.12 compression ratio is significantly higher than the unit level. As a result, the mid-stage exhaust temperature of the unit is as high as 124°C, and it is in high temperature operation state. It has been proved that conical interference connection is widely used in hydraulic transmission device because of its advantages of simple structure, reliable operation, and ability to bear certain impact load, reliable transmission torque than general connection, and convenient assembly and disassembly and has been proved to be reliable in practice.","PeriodicalId":90037,"journal":{"name":"Paladyn : journal of behavioral robotics","volume":"18 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75487221","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}
Abhisek Dutta, R. K. Kovid, Mounika Thatha, Jatin Gupta
Abstract The Internet of things (IoT) is a technology with varied applications in numerous fields. One such field is healthcare, which has a dire need of using this technology to help millions benefit from the attention and availability of healthcare professionals. This study identifies important factors that influence the adoption of IoT-based healthcare devices among end users and suggest a predictive model of adoption. The model is based on the UTAUT2 with newer variables identified from the literature. The sample (n = 253) was collected from four major cities in India, and partial least squares-structural equational model was used to assess the measurement and the structural model. The factors such as ubiquitous, social influence, perceived health risk, and relative advantage had a significant influence on attitude (ATT), which influences behavioral intention (BI) toward IoT-based healthcare devices. Facilitating condition (FC) and price value did not show any significant influence on ATT toward the technology, but FC had a direct influence on BI. The study helps in advancing IS research by adding new variables to the existing knowledge and proposing a model based on UTAUT2. Furthermore, it also brings important practical implications for practitioners.
{"title":"Adoption of IoT-based healthcare devices: An empirical study of end consumers in an emerging economy","authors":"Abhisek Dutta, R. K. Kovid, Mounika Thatha, Jatin Gupta","doi":"10.1515/pjbr-2022-0106","DOIUrl":"https://doi.org/10.1515/pjbr-2022-0106","url":null,"abstract":"Abstract The Internet of things (IoT) is a technology with varied applications in numerous fields. One such field is healthcare, which has a dire need of using this technology to help millions benefit from the attention and availability of healthcare professionals. This study identifies important factors that influence the adoption of IoT-based healthcare devices among end users and suggest a predictive model of adoption. The model is based on the UTAUT2 with newer variables identified from the literature. The sample (n = 253) was collected from four major cities in India, and partial least squares-structural equational model was used to assess the measurement and the structural model. The factors such as ubiquitous, social influence, perceived health risk, and relative advantage had a significant influence on attitude (ATT), which influences behavioral intention (BI) toward IoT-based healthcare devices. Facilitating condition (FC) and price value did not show any significant influence on ATT toward the technology, but FC had a direct influence on BI. The study helps in advancing IS research by adding new variables to the existing knowledge and proposing a model based on UTAUT2. Furthermore, it also brings important practical implications for practitioners.","PeriodicalId":90037,"journal":{"name":"Paladyn : journal of behavioral robotics","volume":"56 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75974225","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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