Pub Date : 2014-04-15DOI: 10.1109/IPSN.2014.6846783
H. Lim, Fei Xue, Shuwei Liu, S. Pan, J. Miao, L. Norford
The accurate measurement of airflow patterns at high spatial and temporal resolutions is of great importance for building design and operation. Microelectromechanical Systems (MEMS) technology can be used to develop miniaturized airflow sensors capable of detecting both airflow speed and direction at high temporal resolution. Wireless sensor networks (WSNs) are used extensively for large-scale monitoring at high spatial resolution. Thus, the integration of MEMS and WSN technologies enables the measurement of airflow patterns at high spatial and temporal resolution. In this work, we developed a prototype MEMS-based airflow sensor network and deployed it in a building environment.
{"title":"Demonstration abstract: A MEMS-based airflow sensor network","authors":"H. Lim, Fei Xue, Shuwei Liu, S. Pan, J. Miao, L. Norford","doi":"10.1109/IPSN.2014.6846783","DOIUrl":"https://doi.org/10.1109/IPSN.2014.6846783","url":null,"abstract":"The accurate measurement of airflow patterns at high spatial and temporal resolutions is of great importance for building design and operation. Microelectromechanical Systems (MEMS) technology can be used to develop miniaturized airflow sensors capable of detecting both airflow speed and direction at high temporal resolution. Wireless sensor networks (WSNs) are used extensively for large-scale monitoring at high spatial resolution. Thus, the integration of MEMS and WSN technologies enables the measurement of airflow patterns at high spatial and temporal resolution. In this work, we developed a prototype MEMS-based airflow sensor network and deployed it in a building environment.","PeriodicalId":297218,"journal":{"name":"IPSN-14 Proceedings of the 13th International Symposium on Information Processing in Sensor Networks","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125729597","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 : 2014-04-15DOI: 10.1109/IPSN.2014.6846790
Johan Haake, Peter Björk, J. Karlsson
In this paper we will describe a positioning system based on synchronized IR light. Each node will be assigned a timeslot where they will send out an IR light. There is an IR camera that is also synchronized to the timeslots that will detect the position of each node and the ID that corresponds to the timeslot. To synchronize the clock of all nodes an IR flashlight is sent out that is detected by a photodiode on the nodes. The demo will show live video stream from a network camera where the ID and position of each node in view will be overlaid in real-time in the video.
{"title":"Demonstration abstract: Positioning by synchronized IR light","authors":"Johan Haake, Peter Björk, J. Karlsson","doi":"10.1109/IPSN.2014.6846790","DOIUrl":"https://doi.org/10.1109/IPSN.2014.6846790","url":null,"abstract":"In this paper we will describe a positioning system based on synchronized IR light. Each node will be assigned a timeslot where they will send out an IR light. There is an IR camera that is also synchronized to the timeslots that will detect the position of each node and the ID that corresponds to the timeslot. To synchronize the clock of all nodes an IR flashlight is sent out that is detected by a photodiode on the nodes. The demo will show live video stream from a network camera where the ID and position of each node in view will be overlaid in real-time in the video.","PeriodicalId":297218,"journal":{"name":"IPSN-14 Proceedings of the 13th International Symposium on Information Processing in Sensor Networks","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128141716","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 : 2014-04-15DOI: 10.1109/IPSN.2014.6846769
T. Voigt, Kasun Hewage, P. Alm
Stuttering is a very complex speech disorder that affects around 0.7% of adults while around 5% of the population have stuttered at some point. A large percentage of the affected people tend to speak more fluently when their own speech is played back to their ear with some type of alteration. While this has been done with special devices, smartphones can be used for this purpose. We report on our initial experiences on building such an application and demonstrate problems with delay caused by the lack of real-time support for audio playback in the Android operating system. We also discuss ideas for future work to improve app support for people who stutter.
{"title":"Poster abstract: Smartphone support for persons who stutter","authors":"T. Voigt, Kasun Hewage, P. Alm","doi":"10.1109/IPSN.2014.6846769","DOIUrl":"https://doi.org/10.1109/IPSN.2014.6846769","url":null,"abstract":"Stuttering is a very complex speech disorder that affects around 0.7% of adults while around 5% of the population have stuttered at some point. A large percentage of the affected people tend to speak more fluently when their own speech is played back to their ear with some type of alteration. While this has been done with special devices, smartphones can be used for this purpose. We report on our initial experiences on building such an application and demonstrate problems with delay caused by the lack of real-time support for audio playback in the Android operating system. We also discuss ideas for future work to improve app support for people who stutter.","PeriodicalId":297218,"journal":{"name":"IPSN-14 Proceedings of the 13th International Symposium on Information Processing in Sensor Networks","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126793508","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}
L. Petrou, Georgios Larkou, C. Laoudias, D. Zeinalipour-Yazti, C. Panayiotou
In this demonstration paper, we present the Anyplace system that relies on the abundance of sensory data on smartphones (e.g., WiFi signal strength and inertial measurements) to deliver reliable indoor geolocation information. Our system features two highly desirable properties, namely crowdsourcing and scalability. Anyplace implements a set of crowdsourcing-supportive mechanisms to handle the enormous amount of crowdsensed data, filter incorrect user contributions and exploit WiFi data from heterogeneous mobile devices. Moreover, Anyplace follows a big-data architecture for efficient and scalable storage and retrieval of localization and mapping data.
{"title":"Demonstration abstract: Crowdsourced indoor localization and navigation with Anyplace","authors":"L. Petrou, Georgios Larkou, C. Laoudias, D. Zeinalipour-Yazti, C. Panayiotou","doi":"10.5555/2602339.2602400","DOIUrl":"https://doi.org/10.5555/2602339.2602400","url":null,"abstract":"In this demonstration paper, we present the Anyplace system that relies on the abundance of sensory data on smartphones (e.g., WiFi signal strength and inertial measurements) to deliver reliable indoor geolocation information. Our system features two highly desirable properties, namely crowdsourcing and scalability. Anyplace implements a set of crowdsourcing-supportive mechanisms to handle the enormous amount of crowdsensed data, filter incorrect user contributions and exploit WiFi data from heterogeneous mobile devices. Moreover, Anyplace follows a big-data architecture for efficient and scalable storage and retrieval of localization and mapping data.","PeriodicalId":297218,"journal":{"name":"IPSN-14 Proceedings of the 13th International Symposium on Information Processing in Sensor Networks","volume":"130 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121872729","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 : 2014-04-15DOI: 10.1109/IPSN.2014.6846762
Ju Wang, Xiaojiang Chen, Dingyi Fang, C. Wu, Tianzhang Xing, Weike Nie
Device-free localization (DFL) plays an important role in many applications, such as the intrusion detection. Most traditional DFL systems assume a fixed distribution of the received signal strength (RSS) changes even they are distorted by different types of targets. It inevitably causes the localization to fail if the targets for modeling and testing belong to different categories. We propose a transferring scheme for DFL, which employs a rigorously designed transferring function to transfer the distorted RSS changes across different categories of targets into a latent feature space, where the distributions of the distorted RSS changes from different categories of targets are unified. A benefit of this approach is that the same transferred localization models can be shared by different categories of targets, leading to a substantial reduction of the human efforts. The results of experiments illustrate the efficacy of our transferring scheme.
{"title":"Poster abstract: Implications of target diversity for organic device-free localization","authors":"Ju Wang, Xiaojiang Chen, Dingyi Fang, C. Wu, Tianzhang Xing, Weike Nie","doi":"10.1109/IPSN.2014.6846762","DOIUrl":"https://doi.org/10.1109/IPSN.2014.6846762","url":null,"abstract":"Device-free localization (DFL) plays an important role in many applications, such as the intrusion detection. Most traditional DFL systems assume a fixed distribution of the received signal strength (RSS) changes even they are distorted by different types of targets. It inevitably causes the localization to fail if the targets for modeling and testing belong to different categories. We propose a transferring scheme for DFL, which employs a rigorously designed transferring function to transfer the distorted RSS changes across different categories of targets into a latent feature space, where the distributions of the distorted RSS changes from different categories of targets are unified. A benefit of this approach is that the same transferred localization models can be shared by different categories of targets, leading to a substantial reduction of the human efforts. The results of experiments illustrate the efficacy of our transferring scheme.","PeriodicalId":297218,"journal":{"name":"IPSN-14 Proceedings of the 13th International Symposium on Information Processing in Sensor Networks","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115022234","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 : 2014-04-15DOI: 10.1109/IPSN.2014.6846773
T. Grigorie, R. Botez
The paper presents a redundant strap-down attitude system which uses three miniaturized gyro sensors linear clusters in the inertial detection unit. The data from the sensors in each of the three clusters are fused by using a statistical method based on the minimum variance method, in order to improve the useful angular speed signal measured by the detection unit.
{"title":"Poster abstract: Precision improvement of aircrafts attitude estimation through gyro sensors data fusion in a redundant inertial measurement unit","authors":"T. Grigorie, R. Botez","doi":"10.1109/IPSN.2014.6846773","DOIUrl":"https://doi.org/10.1109/IPSN.2014.6846773","url":null,"abstract":"The paper presents a redundant strap-down attitude system which uses three miniaturized gyro sensors linear clusters in the inertial detection unit. The data from the sensors in each of the three clusters are fused by using a statistical method based on the minimum variance method, in order to improve the useful angular speed signal measured by the detection unit.","PeriodicalId":297218,"journal":{"name":"IPSN-14 Proceedings of the 13th International Symposium on Information Processing in Sensor Networks","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131839110","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 : 2014-04-15DOI: 10.1109/IPSN.2014.6846779
Matthias Schäfer, Martin Strohmeier, Vincent Lenders, I. Martinovic, M. Wilhelm
The future of air traffic control (ATC) will heavily depend on the Automatic Dependent Surveillance - Broadcast (ADS-B) protocol as a crucial component. ADS-B marks a paradigm change in airspace monitoring as global ATC is switching from an independent, radar-based approach to dependent, satellite-supported surveillance. With ADS-B, aircraft broadcast their own position and other information in short periodic messages to other aircraft and control stations on the ground. As the protocol is becoming mandatory in most airspaces over the next years, it is important that its characteristics and challenges are thoroughly investigated. The large-scale ADS-B data required to do this has not been openly accessible until now, as specialized and expensive infrastructure was needed. We demonstrate OpenSky, a sensor network based on low-cost hardware connected over the Internet, which enables real-world experimental studies. OpenSky works with off-the-shelf sensors run by volunteers distributed over Central Europe. Currently comprising 11 sensors, the sensor network covers an area of 720,000 km2. We capture more than 30% of Europe's commercial air traffic, offering access to billions of ADS-B messages.
{"title":"Demonstration abstract: OpenSky — A large-scale ADS-B sensor network for research","authors":"Matthias Schäfer, Martin Strohmeier, Vincent Lenders, I. Martinovic, M. Wilhelm","doi":"10.1109/IPSN.2014.6846779","DOIUrl":"https://doi.org/10.1109/IPSN.2014.6846779","url":null,"abstract":"The future of air traffic control (ATC) will heavily depend on the Automatic Dependent Surveillance - Broadcast (ADS-B) protocol as a crucial component. ADS-B marks a paradigm change in airspace monitoring as global ATC is switching from an independent, radar-based approach to dependent, satellite-supported surveillance. With ADS-B, aircraft broadcast their own position and other information in short periodic messages to other aircraft and control stations on the ground. As the protocol is becoming mandatory in most airspaces over the next years, it is important that its characteristics and challenges are thoroughly investigated. The large-scale ADS-B data required to do this has not been openly accessible until now, as specialized and expensive infrastructure was needed. We demonstrate OpenSky, a sensor network based on low-cost hardware connected over the Internet, which enables real-world experimental studies. OpenSky works with off-the-shelf sensors run by volunteers distributed over Central Europe. Currently comprising 11 sensors, the sensor network covers an area of 720,000 km2. We capture more than 30% of Europe's commercial air traffic, offering access to billions of ADS-B messages.","PeriodicalId":297218,"journal":{"name":"IPSN-14 Proceedings of the 13th International Symposium on Information Processing in Sensor Networks","volume":"332 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133779513","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 : 2014-04-15DOI: 10.1109/IPSN.2014.6846741
O. Kaltiokallio, H. Yi̇ği̇tler, R. Jäntti, Neal Patwari
Respiratory rate is an important vital sign that can indicate progression of illness but to also predict rapid decline in health. For the purpose, non-contact monitoring systems are becoming more popular due to the self-evident increase in patient comfort. As a cost effective solution for non-invasive breathing monitoring, utilizing the received signal strength measurements of inexpensive transceivers has been proposed. However, the applicability of the available solutions is limited since they rely on numerous sensors. In this work, considerable improvement is made, and a respiratory rate monitoring system based on a single commercial off-the-shelf transmitter-receiver pair is presented. Methods that enable estimation and enhance the accuracy are presented and their effects are evaluated. Moreover, it is empirically demonstrated that the performance of the system is comparable to the accuracy of a high-end device for 3-4 orders of magnitude less price; achieving mean absolute error of 0.12 breaths per minute in the most realistic scenario of the experiments.
{"title":"Non-invasive respiration rate monitoring using a single COTS TX-RX pair","authors":"O. Kaltiokallio, H. Yi̇ği̇tler, R. Jäntti, Neal Patwari","doi":"10.1109/IPSN.2014.6846741","DOIUrl":"https://doi.org/10.1109/IPSN.2014.6846741","url":null,"abstract":"Respiratory rate is an important vital sign that can indicate progression of illness but to also predict rapid decline in health. For the purpose, non-contact monitoring systems are becoming more popular due to the self-evident increase in patient comfort. As a cost effective solution for non-invasive breathing monitoring, utilizing the received signal strength measurements of inexpensive transceivers has been proposed. However, the applicability of the available solutions is limited since they rely on numerous sensors. In this work, considerable improvement is made, and a respiratory rate monitoring system based on a single commercial off-the-shelf transmitter-receiver pair is presented. Methods that enable estimation and enhance the accuracy are presented and their effects are evaluated. Moreover, it is empirically demonstrated that the performance of the system is comparable to the accuracy of a high-end device for 3-4 orders of magnitude less price; achieving mean absolute error of 0.12 breaths per minute in the most realistic scenario of the experiments.","PeriodicalId":297218,"journal":{"name":"IPSN-14 Proceedings of the 13th International Symposium on Information Processing in Sensor Networks","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121140701","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 : 2014-04-15DOI: 10.1109/IPSN.2014.6846746
Farley Lai, S. S. Hasan, Austin Laugesen, O. Chipara
This paper presents CSense - a stream-processing toolkit for developing robust and high-rate mobile sensing application in Java. CSense addresses the needs of these systems by providing a new programming model that supports flexible application configuration, a high-level concurrency model, memory management, and compiler analyses and optimizations. Our compiler includes a novel flow analysis that optimizes the exchange of data across components from an application-wide perspective. A mobile sensing application benchmark indicates that flow analysis may reduce CPU utilization by as much as 45%. Static analysis is used to detect a range of programming errors including application composition errors, improper use of memory management, and data races. We identify that memory management and concurrency limit the scalability of stream processing systems. We incorporate memory pools, frame conversion optimizations, and custom synchronization primitives to develop a scalable run-time. CSense is evaluated on Galaxy Nexus phones running Android. Empirical results indicate that our run-time achieves 19 times higher steam processing rate compared to a realistic baseline implementation. We demonstrate the versatility of CSense by developing three mobile sensing applications.
{"title":"CSense: A stream-processing toolkit for robust and high-rate mobile sensing applications","authors":"Farley Lai, S. S. Hasan, Austin Laugesen, O. Chipara","doi":"10.1109/IPSN.2014.6846746","DOIUrl":"https://doi.org/10.1109/IPSN.2014.6846746","url":null,"abstract":"This paper presents CSense - a stream-processing toolkit for developing robust and high-rate mobile sensing application in Java. CSense addresses the needs of these systems by providing a new programming model that supports flexible application configuration, a high-level concurrency model, memory management, and compiler analyses and optimizations. Our compiler includes a novel flow analysis that optimizes the exchange of data across components from an application-wide perspective. A mobile sensing application benchmark indicates that flow analysis may reduce CPU utilization by as much as 45%. Static analysis is used to detect a range of programming errors including application composition errors, improper use of memory management, and data races. We identify that memory management and concurrency limit the scalability of stream processing systems. We incorporate memory pools, frame conversion optimizations, and custom synchronization primitives to develop a scalable run-time. CSense is evaluated on Galaxy Nexus phones running Android. Empirical results indicate that our run-time achieves 19 times higher steam processing rate compared to a realistic baseline implementation. We demonstrate the versatility of CSense by developing three mobile sensing applications.","PeriodicalId":297218,"journal":{"name":"IPSN-14 Proceedings of the 13th International Symposium on Information Processing in Sensor Networks","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124366426","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 : 2014-04-15DOI: 10.1109/IPSN.2014.6846791
Florian Zeiger, Marco F. Huber
This work describes a system demonstrator for environmental monitoring based on participatory sensing. Mobile environmental sensors carried by citizens are used to measure pollutant concentrations and provide this data to a Unified Sensing Platform. It demonstrates platform features like visualization of different pollution maps, enabling participatory sensing via operator-initiated measurement campaigns, wherein reporters (e.g., citizens, public servants) are invited to submit measurements via mobile applications, creation of air quality alerts when pollutant thresholds are exceeded, local and remote configuration of mobile app and sensor devices, as well as pollutant statistics. In addition, various use cases like a health information service, urban planning, or workplace safety that can be realized by means of this platform are presented.
{"title":"Demonstration Abstract: Participatory sensing enabled environmental monitoring in smart cities","authors":"Florian Zeiger, Marco F. Huber","doi":"10.1109/IPSN.2014.6846791","DOIUrl":"https://doi.org/10.1109/IPSN.2014.6846791","url":null,"abstract":"This work describes a system demonstrator for environmental monitoring based on participatory sensing. Mobile environmental sensors carried by citizens are used to measure pollutant concentrations and provide this data to a Unified Sensing Platform. It demonstrates platform features like visualization of different pollution maps, enabling participatory sensing via operator-initiated measurement campaigns, wherein reporters (e.g., citizens, public servants) are invited to submit measurements via mobile applications, creation of air quality alerts when pollutant thresholds are exceeded, local and remote configuration of mobile app and sensor devices, as well as pollutant statistics. In addition, various use cases like a health information service, urban planning, or workplace safety that can be realized by means of this platform are presented.","PeriodicalId":297218,"journal":{"name":"IPSN-14 Proceedings of the 13th International Symposium on Information Processing in Sensor Networks","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115738918","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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