Pub Date : 2018-11-01DOI: 10.1109/ICSRS.2018.8688876
Fenglian Pan, Xiaoyuan Yan, Naichao Wang, B. Xiao
The relationship between the actual use time of repairable spare parts and the maintenance turnover time of the corresponding faulty parts is established through the analysis of the faulty product maintenance support process and the inventory spare parts operation status. Then, using a probabilistic method to calculate and produce the average spare due in (EDI) of the system within a certain specified period of time. Meanwhile the binomial distribution is used to render the probability distribution function of spare due in (DI) to obtain the time for the spare parts in various status as well as expected backorder (EBO). Finally, an availability modeling of spare part utilization is proposed taking into consideration of the system structure, the number of initial spare parts, the maintenance turnover time and spares shortage. Then, as a conclusion, an example calculation is performed to verify and demonstrate the effectiveness of the model and method as described in this paper.
{"title":"A Prediction Model of Repairable Spare Parts Utilization Rate Based on Probabilistic Method","authors":"Fenglian Pan, Xiaoyuan Yan, Naichao Wang, B. Xiao","doi":"10.1109/ICSRS.2018.8688876","DOIUrl":"https://doi.org/10.1109/ICSRS.2018.8688876","url":null,"abstract":"The relationship between the actual use time of repairable spare parts and the maintenance turnover time of the corresponding faulty parts is established through the analysis of the faulty product maintenance support process and the inventory spare parts operation status. Then, using a probabilistic method to calculate and produce the average spare due in (EDI) of the system within a certain specified period of time. Meanwhile the binomial distribution is used to render the probability distribution function of spare due in (DI) to obtain the time for the spare parts in various status as well as expected backorder (EBO). Finally, an availability modeling of spare part utilization is proposed taking into consideration of the system structure, the number of initial spare parts, the maintenance turnover time and spares shortage. Then, as a conclusion, an example calculation is performed to verify and demonstrate the effectiveness of the model and method as described in this paper.","PeriodicalId":166131,"journal":{"name":"2018 3rd International Conference on System Reliability and Safety (ICSRS)","volume":"612 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127525730","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 : 2018-11-01DOI: 10.1109/icsrs.2018.8688867
{"title":"Technical Committee ICSRS 2018","authors":"","doi":"10.1109/icsrs.2018.8688867","DOIUrl":"https://doi.org/10.1109/icsrs.2018.8688867","url":null,"abstract":"","PeriodicalId":166131,"journal":{"name":"2018 3rd International Conference on System Reliability and Safety (ICSRS)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127628847","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 : 2018-11-01DOI: 10.1109/ICSRS.2018.8688843
Hideo Suzuki, Yuya Kiyonobu, Takato Mogi, Kotaro Matsushita, M. Hanada, R. Suzuki, Noriko Niijima
People often worry about their elderly family members who are living by themselves or staying alone somewhere. We had previously developed an intelligent watch-over system using a Raspberry Pi IoT device for such elderly people. The system was consisted of one Raspberry Pi, seven motion sensors and seven temperature-humidity combined sensors, that are located at seven points within an elderly person's home. The first features of the system were privacy oriented for the elderly person by using the sensors above., instead of using cameras and microphones placed in the house. As the second features of the system, the system was able to send a Twitter direct message to designated family members, when an elderly relative is possibly in an unhealthy condition. The conditions are, e.g., an unusually long bathing time, or a visit to a restroom, too high a room temperature, dementia loitering, and intruders' detection when no one in the house. Accordingly, the system helps decrease family members' anxieties regarding their elderly relatives and increases their sense of home security. The previously developed system works well when only the elderly family is in the house. The system had a problem, in that the system should work when only the elderly family is in the house and should stop when other family members arrive home. Therefore, in this paper, we update our previously developed system to enable it to switch modes between “idling modes” and “watch over mode.” The system will be able to treat any combinations of the categories “Elderly family,” “Other families,” “Guest” entering and being in the house. The updating system in this paper will send LINE app's messages instead of Twitter messages.
{"title":"An Updated Watch-Over System Using an IoT Device, for Elderly People Living by Themselves","authors":"Hideo Suzuki, Yuya Kiyonobu, Takato Mogi, Kotaro Matsushita, M. Hanada, R. Suzuki, Noriko Niijima","doi":"10.1109/ICSRS.2018.8688843","DOIUrl":"https://doi.org/10.1109/ICSRS.2018.8688843","url":null,"abstract":"People often worry about their elderly family members who are living by themselves or staying alone somewhere. We had previously developed an intelligent watch-over system using a Raspberry Pi IoT device for such elderly people. The system was consisted of one Raspberry Pi, seven motion sensors and seven temperature-humidity combined sensors, that are located at seven points within an elderly person's home. The first features of the system were privacy oriented for the elderly person by using the sensors above., instead of using cameras and microphones placed in the house. As the second features of the system, the system was able to send a Twitter direct message to designated family members, when an elderly relative is possibly in an unhealthy condition. The conditions are, e.g., an unusually long bathing time, or a visit to a restroom, too high a room temperature, dementia loitering, and intruders' detection when no one in the house. Accordingly, the system helps decrease family members' anxieties regarding their elderly relatives and increases their sense of home security. The previously developed system works well when only the elderly family is in the house. The system had a problem, in that the system should work when only the elderly family is in the house and should stop when other family members arrive home. Therefore, in this paper, we update our previously developed system to enable it to switch modes between “idling modes” and “watch over mode.” The system will be able to treat any combinations of the categories “Elderly family,” “Other families,” “Guest” entering and being in the house. The updating system in this paper will send LINE app's messages instead of Twitter messages.","PeriodicalId":166131,"journal":{"name":"2018 3rd International Conference on System Reliability and Safety (ICSRS)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122503779","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 : 2018-11-01DOI: 10.1109/ICSRS.2018.8688828
Xiaohong Wang, Yidi He, Lizhi Wang, Zhongxing Wang
Brushless Direct Current Motor (BLDC) is a power supply unit of the Multi Rotor Unmanned Aerial Vehicle (Multi Rotor UAV). Whether it is safe and reliable directly affects the reliability level of the Multi Rotor UAV. By obtaining the BLDC operating state characteristics (including faults and failures), and accurately determining its working state, the safety, mission success and economy of the BLDC can be improved. At present, the research work on the feature extraction of operating state is mostly based on single-parameter uniaxial expansion. There may be redundant and irrelevant information between the features obtained by different feature extraction methods, which makes the BLDC running state features difficult to be accurately grasped. Therefore, this paper takes the BLDC of Multi Rotor UAV as the research object, and comprehensively utilizes feature extraction technology, unsupervised mutual information feature selection technology and kernel principal component analysis fusion technology to study multi-features, multiaxial comprehensive feature extraction method based on BLDC vibration data. This paper provides an effective method for BLDC operation status judgment, and provides data support for BLDC life-cycle health management work.
{"title":"An Unsupervised Feature Selection Method Based on Information Entropy","authors":"Xiaohong Wang, Yidi He, Lizhi Wang, Zhongxing Wang","doi":"10.1109/ICSRS.2018.8688828","DOIUrl":"https://doi.org/10.1109/ICSRS.2018.8688828","url":null,"abstract":"Brushless Direct Current Motor (BLDC) is a power supply unit of the Multi Rotor Unmanned Aerial Vehicle (Multi Rotor UAV). Whether it is safe and reliable directly affects the reliability level of the Multi Rotor UAV. By obtaining the BLDC operating state characteristics (including faults and failures), and accurately determining its working state, the safety, mission success and economy of the BLDC can be improved. At present, the research work on the feature extraction of operating state is mostly based on single-parameter uniaxial expansion. There may be redundant and irrelevant information between the features obtained by different feature extraction methods, which makes the BLDC running state features difficult to be accurately grasped. Therefore, this paper takes the BLDC of Multi Rotor UAV as the research object, and comprehensively utilizes feature extraction technology, unsupervised mutual information feature selection technology and kernel principal component analysis fusion technology to study multi-features, multiaxial comprehensive feature extraction method based on BLDC vibration data. This paper provides an effective method for BLDC operation status judgment, and provides data support for BLDC life-cycle health management work.","PeriodicalId":166131,"journal":{"name":"2018 3rd International Conference on System Reliability and Safety (ICSRS)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116533462","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 : 2018-11-01DOI: 10.1109/ICSRS.2018.8688846
Aliakbar Eslami Baladeh, N. Khakzad
Complex networks play a vital role in reliability analysis of real-world applications, demanding for precise and accurate analysis methods for optimal allocations of cost and reliability. Since the configuration of a system may change with every feasible solution of cost allocation optimization equation, finding the best arrangement of the system can become very challenging. This paper presents a novel methodology by combining Genetic Algorithm (GA) and Monte Carlo (MC) simulation approaches to simultaneously optimize cost allocation and system configuration in complex network. GA is used to generate configuration-cost pairs while MC is used to evaluate the reliability of the system for each pair. The application of the developed methodology is demonstrated for power grids as an example of critical complex networks. The results show that the proposed methodology can be readily used in practice.
{"title":"Integration of Genetic Algorithm and Monte Carlo Simulation for System Design and Cost Allocation Optimization in Complex Network","authors":"Aliakbar Eslami Baladeh, N. Khakzad","doi":"10.1109/ICSRS.2018.8688846","DOIUrl":"https://doi.org/10.1109/ICSRS.2018.8688846","url":null,"abstract":"Complex networks play a vital role in reliability analysis of real-world applications, demanding for precise and accurate analysis methods for optimal allocations of cost and reliability. Since the configuration of a system may change with every feasible solution of cost allocation optimization equation, finding the best arrangement of the system can become very challenging. This paper presents a novel methodology by combining Genetic Algorithm (GA) and Monte Carlo (MC) simulation approaches to simultaneously optimize cost allocation and system configuration in complex network. GA is used to generate configuration-cost pairs while MC is used to evaluate the reliability of the system for each pair. The application of the developed methodology is demonstrated for power grids as an example of critical complex networks. The results show that the proposed methodology can be readily used in practice.","PeriodicalId":166131,"journal":{"name":"2018 3rd International Conference on System Reliability and Safety (ICSRS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125760896","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 : 2018-11-01DOI: 10.1109/ICSRS.2018.8688722
M. Mellal, E. Zio
This paper addresses the problem of availability optimization of a parallel-series system by using evolutionary techniques. Five techniques are considered, namely the cuckoo optimization algorithm, particle swarm optimization, flower pollination algorithm, differential evolution, and genetic algorithms. The integer values and constraints of cost are handled. The results regarding a system with ten subsystems are compared. It demonstrates that the cuckoo optimization algorithm performs best.
{"title":"Availability Optimization of Parallel-Series System by Evolutionary Computation","authors":"M. Mellal, E. Zio","doi":"10.1109/ICSRS.2018.8688722","DOIUrl":"https://doi.org/10.1109/ICSRS.2018.8688722","url":null,"abstract":"This paper addresses the problem of availability optimization of a parallel-series system by using evolutionary techniques. Five techniques are considered, namely the cuckoo optimization algorithm, particle swarm optimization, flower pollination algorithm, differential evolution, and genetic algorithms. The integer values and constraints of cost are handled. The results regarding a system with ten subsystems are compared. It demonstrates that the cuckoo optimization algorithm performs best.","PeriodicalId":166131,"journal":{"name":"2018 3rd International Conference on System Reliability and Safety (ICSRS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134107100","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 : 2018-11-01DOI: 10.1109/ICSRS.2018.8688834
F. Colace, Marco Lombardi, F. Pascale, D. Santaniello
Nowadays with the increase of smart objects, which make our world ever smart, it can be possible to observe a rapidly growing up of a large amount of data produced from a various sources. Even if there are numerous approaches, automatic and manual, present in the literature that try to interpret data by extracting information, these data become overwhelmed with a mass of information that is difficult to understand. In this context, we have to analyse and understand the data in order to have a new knowledge starting from this information. These data, if correctly managed, could help us for Big Data analysis and it has helpful for Smart City application. The main aim of this paper is to provide an approach for data interpretation, which take advance of three graphs (Ontologies, Context Dimension Tree and Bayesian Networks). This approach, through graph approaches abovementioned, is able to represent the real scenario both from the point of view of the sensors involved and of the services and events connected to the data.
{"title":"A Multilevel Graph Representation for Big Data Interpretation in Real Scenarios","authors":"F. Colace, Marco Lombardi, F. Pascale, D. Santaniello","doi":"10.1109/ICSRS.2018.8688834","DOIUrl":"https://doi.org/10.1109/ICSRS.2018.8688834","url":null,"abstract":"Nowadays with the increase of smart objects, which make our world ever smart, it can be possible to observe a rapidly growing up of a large amount of data produced from a various sources. Even if there are numerous approaches, automatic and manual, present in the literature that try to interpret data by extracting information, these data become overwhelmed with a mass of information that is difficult to understand. In this context, we have to analyse and understand the data in order to have a new knowledge starting from this information. These data, if correctly managed, could help us for Big Data analysis and it has helpful for Smart City application. The main aim of this paper is to provide an approach for data interpretation, which take advance of three graphs (Ontologies, Context Dimension Tree and Bayesian Networks). This approach, through graph approaches abovementioned, is able to represent the real scenario both from the point of view of the sensors involved and of the services and events connected to the data.","PeriodicalId":166131,"journal":{"name":"2018 3rd International Conference on System Reliability and Safety (ICSRS)","volume":"329 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134158489","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 : 2018-11-01DOI: 10.1109/ICSRS.2018.8688848
Michael T. Todinov
The common domain-specific approach to reliability improvement and risk reduction created the false perception that effective risk reduction can be delivered successfully solely by using methods offered by the specific domain. This paper argues that reliability improvement and risk reduction is underpinned by general principles whose knowledge helps to generate effective solutions in various unrelated application domains. The paper proposes a number of domain-independent methods for risk reduction which do not rely on reliability data or knowledge of physical mechanisms underlying the failure modes. The proposed domain-independent methods reduce risk at no extra cost or at a small cost and are well-suited for developing new engineering designs, with unknown failure mechanisms and failure history.
{"title":"New Domain-Independent Methods for Reliability Improvement and Risk Reduction","authors":"Michael T. Todinov","doi":"10.1109/ICSRS.2018.8688848","DOIUrl":"https://doi.org/10.1109/ICSRS.2018.8688848","url":null,"abstract":"The common domain-specific approach to reliability improvement and risk reduction created the false perception that effective risk reduction can be delivered successfully solely by using methods offered by the specific domain. This paper argues that reliability improvement and risk reduction is underpinned by general principles whose knowledge helps to generate effective solutions in various unrelated application domains. The paper proposes a number of domain-independent methods for risk reduction which do not rely on reliability data or knowledge of physical mechanisms underlying the failure modes. The proposed domain-independent methods reduce risk at no extra cost or at a small cost and are well-suited for developing new engineering designs, with unknown failure mechanisms and failure history.","PeriodicalId":166131,"journal":{"name":"2018 3rd International Conference on System Reliability and Safety (ICSRS)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131128623","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 : 2018-11-01DOI: 10.1109/ICSRS.2018.8688884
Daogui Tang, Yiping Fang, E. Zio, J. Ramírez-Márquez
The idea of coupling social networks with power grids to engage end users has attracted much attention. In this paper, we model a social network-coupled power grid system and analyze its vulnerability to false price attacks initiated on social networks. The false price spreading process is depicted by a price-based multi-level influence propagation model and the corresponding behavior of customers is based on their influence levels. The residential capacity of power lines is adopted to quantify the impact on power systems. A modified IEEE 13 node test feeder and a notional social network are considered as a case study. The vulnerability of the system under different attack scenarios is analyzed.
{"title":"Analysis of the Vulnerability of Smart Grids to Social Network-Based Attacks","authors":"Daogui Tang, Yiping Fang, E. Zio, J. Ramírez-Márquez","doi":"10.1109/ICSRS.2018.8688884","DOIUrl":"https://doi.org/10.1109/ICSRS.2018.8688884","url":null,"abstract":"The idea of coupling social networks with power grids to engage end users has attracted much attention. In this paper, we model a social network-coupled power grid system and analyze its vulnerability to false price attacks initiated on social networks. The false price spreading process is depicted by a price-based multi-level influence propagation model and the corresponding behavior of customers is based on their influence levels. The residential capacity of power lines is adopted to quantify the impact on power systems. A modified IEEE 13 node test feeder and a notional social network are considered as a case study. The vulnerability of the system under different attack scenarios is analyzed.","PeriodicalId":166131,"journal":{"name":"2018 3rd International Conference on System Reliability and Safety (ICSRS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133883596","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 : 2018-11-01DOI: 10.1109/ICSRS.2018.8688873
E. Fragnière, Randolf Ramseyer, P. Bomme
The digitalization of business processes implies important changes in the organization of air traffic control companies. In this research, we have developed an original critical incident drill approach based on service design techniques combined with risk management. The aim is to take into account the co-production elements inherent to any complex service system and also the necessary interplay between explicit (information) and tacit (know-how) knowledge. The critical incident drill begins with a preparation where immersion episodes and modeling of new digital processes by the service blueprint allows to imagine coherent and coordinated interactions between human expertise, information system and any external IT provider. Once ready the new process is simulated in real size and conditions. Co-creation between stakeholders makes it possible to conduct a relevant analysis of the risks as well as opportunities for improvement. This approach has been used successfully by skyguide to test and implement new air traffic management digitalized processes.
{"title":"A Critical Incident Drill Based on Service Design to Improve Digitization Acceptance of Processes in Air Traffic Management an Organizational Test Conducted at Skyguide Involving an External IT Provider","authors":"E. Fragnière, Randolf Ramseyer, P. Bomme","doi":"10.1109/ICSRS.2018.8688873","DOIUrl":"https://doi.org/10.1109/ICSRS.2018.8688873","url":null,"abstract":"The digitalization of business processes implies important changes in the organization of air traffic control companies. In this research, we have developed an original critical incident drill approach based on service design techniques combined with risk management. The aim is to take into account the co-production elements inherent to any complex service system and also the necessary interplay between explicit (information) and tacit (know-how) knowledge. The critical incident drill begins with a preparation where immersion episodes and modeling of new digital processes by the service blueprint allows to imagine coherent and coordinated interactions between human expertise, information system and any external IT provider. Once ready the new process is simulated in real size and conditions. Co-creation between stakeholders makes it possible to conduct a relevant analysis of the risks as well as opportunities for improvement. This approach has been used successfully by skyguide to test and implement new air traffic management digitalized processes.","PeriodicalId":166131,"journal":{"name":"2018 3rd International Conference on System Reliability and Safety (ICSRS)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115717271","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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