The continuing advancement of computer and software technology has allowed for the automation of materials testing systems and processes to become commonplace. Automation, which was at first a very expensive and complicated accessory to a materials testing system, is now a inexpensive and often necessary subsystem. Many test techniques now require the speed, consistency, and computational capability inherent in these systems. Hardware cost~ have continued to spiral downward in conjunction with incredible increases in computational bandwidth, display technology performance, and mass storage capacity and speed. Software technology, the real key to forward progress, has improved significantly, allowing for shorter application development time with higher application performance. This is especially true in the area of real-time systems software which is critical for testing system control and data acquisition. This symposium is the third in a series of symposia concerned with the advancement of the state of the art in automated fatigue and fracture testing. The first was the Use of Computers in the Fatigue Laboratory held in New Orleans, Louisiana in November of 1975. The proceedings were published in STP 613. The second symposium on this topic was entitled Automated Test Methods for Fracture and Fatigue Crack Growth held in Pittsburgh, Pennsylvania during the Fall E9/E24 meeting in November of 1983. The proceedings of this symposium were published in STP 877. This current symposium was organized in order to conduct a state of the art review of the technology. The symposium was driven by the work of the task group E9.04.01 on Automated Testing which is a task group of the E9 committee on Fatigue and its' subcommittee on Apparatus and Test Methods. The intent of this task group is to conduct such a technology review on a three to four year time interval thus keeping pace with the rapid advances in computing and software engineering technology as they apply to fatigue and fracture testing. There are a number of areas where automation technology enhances fatigue and fracture testing. The emphasis of this symposium was placed upon the issues of test system implementation, test techniques, applications of networking and information management within a testing laboratory, control and data acquisition techniques, and applications or implementations where the computer provided enhanced analysis or simulation capability. These areas of interest were selected to focus on tasks in the fatigue and fracture testing process that reside at different levels within this process. Automated systems implementation and test techniques are closest to the actual tasks of acquiring materials property data. In this arena, concerns are primarily on compute bandwidth and real-time software efficiency. Fatigue and fracture tests, being dynamic tests, require higher data acquisition and compute bandwidth than many common real-time systems possess. The task of determining the cra
{"title":"Overview","authors":"Robert Hoffman, A. Markman","doi":"10.1201/9780429148392-2","DOIUrl":"https://doi.org/10.1201/9780429148392-2","url":null,"abstract":"The continuing advancement of computer and software technology has allowed for the automation of materials testing systems and processes to become commonplace. Automation, which was at first a very expensive and complicated accessory to a materials testing system, is now a inexpensive and often necessary subsystem. Many test techniques now require the speed, consistency, and computational capability inherent in these systems. Hardware cost~ have continued to spiral downward in conjunction with incredible increases in computational bandwidth, display technology performance, and mass storage capacity and speed. Software technology, the real key to forward progress, has improved significantly, allowing for shorter application development time with higher application performance. This is especially true in the area of real-time systems software which is critical for testing system control and data acquisition. This symposium is the third in a series of symposia concerned with the advancement of the state of the art in automated fatigue and fracture testing. The first was the Use of Computers in the Fatigue Laboratory held in New Orleans, Louisiana in November of 1975. The proceedings were published in STP 613. The second symposium on this topic was entitled Automated Test Methods for Fracture and Fatigue Crack Growth held in Pittsburgh, Pennsylvania during the Fall E9/E24 meeting in November of 1983. The proceedings of this symposium were published in STP 877. This current symposium was organized in order to conduct a state of the art review of the technology. The symposium was driven by the work of the task group E9.04.01 on Automated Testing which is a task group of the E9 committee on Fatigue and its' subcommittee on Apparatus and Test Methods. The intent of this task group is to conduct such a technology review on a three to four year time interval thus keeping pace with the rapid advances in computing and software engineering technology as they apply to fatigue and fracture testing. There are a number of areas where automation technology enhances fatigue and fracture testing. The emphasis of this symposium was placed upon the issues of test system implementation, test techniques, applications of networking and information management within a testing laboratory, control and data acquisition techniques, and applications or implementations where the computer provided enhanced analysis or simulation capability. These areas of interest were selected to focus on tasks in the fatigue and fracture testing process that reside at different levels within this process. Automated systems implementation and test techniques are closest to the actual tasks of acquiring materials property data. In this arena, concerns are primarily on compute bandwidth and real-time software efficiency. Fatigue and fracture tests, being dynamic tests, require higher data acquisition and compute bandwidth than many common real-time systems possess. The task of determining the cra","PeriodicalId":345464,"journal":{"name":"Interpreting Remote Sensing Imagery","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117002600","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 : 2013-08-06DOI: 10.1201/9780429148392-12
A. Delgenio, J. Hansen
The communities of scientists who study the Earth's climate and the atmospheres of the other planets barely overlap, but the types of questions they pose and the resulting implications for the use and interpretation of remote sensing data sets have much in common. Both seek to determine the characteristic behavior of three-dimensional fluids that also evolve in time. Climate researchers want to know how and why the general patterns that define our climate today might be different in the next century. Planetary scientists try to understand why circulation patterns and clouds on Mars, Venus, or Jupiter are different from those on Earth. Both disciplines must aggregate large amounts of data covering long time periods and several altitudes to have a representative picture of the rapidly changing atmosphere they are studying. This emphasis separates climate scientists from weather forecasters, who focus at any one time on a limited number of images. Likewise, it separates planetary atmosphere researchers from planetary geologists, who rely primarily on single images (or mosaics of images covering the globe) to study two-dimensional planetary surfaces that are mostly static over the duration of a spacecraft mission yet reveal dynamic processes acting over thousands to millions of years. Remote sensing displays are usually two-dimensional projections that capture an atmosphere at an instant in time. How scientists manipulate and display such data, how they interpret what they see, and how they thereby understand the physical processes that cause what they see, are the challenges I discuss in this chapter. I begin by discussing differences in how novices and experts in the field relate displays of data to the real world. This leads to a discussion of the use and abuse of image enhancement and color in remote sensing displays. I then show some examples of techniques used by scientists in climate and planetary research to both convey information and design research strategies using remote sensing displays.
{"title":"The Role of Remote Sensing Displays in Earth Climate and Planetary Atmospheric Research","authors":"A. Delgenio, J. Hansen","doi":"10.1201/9780429148392-12","DOIUrl":"https://doi.org/10.1201/9780429148392-12","url":null,"abstract":"The communities of scientists who study the Earth's climate and the atmospheres of the other planets barely overlap, but the types of questions they pose and the resulting implications for the use and interpretation of remote sensing data sets have much in common. Both seek to determine the characteristic behavior of three-dimensional fluids that also evolve in time. Climate researchers want to know how and why the general patterns that define our climate today might be different in the next century. Planetary scientists try to understand why circulation patterns and clouds on Mars, Venus, or Jupiter are different from those on Earth. Both disciplines must aggregate large amounts of data covering long time periods and several altitudes to have a representative picture of the rapidly changing atmosphere they are studying. This emphasis separates climate scientists from weather forecasters, who focus at any one time on a limited number of images. Likewise, it separates planetary atmosphere researchers from planetary geologists, who rely primarily on single images (or mosaics of images covering the globe) to study two-dimensional planetary surfaces that are mostly static over the duration of a spacecraft mission yet reveal dynamic processes acting over thousands to millions of years. Remote sensing displays are usually two-dimensional projections that capture an atmosphere at an instant in time. How scientists manipulate and display such data, how they interpret what they see, and how they thereby understand the physical processes that cause what they see, are the challenges I discuss in this chapter. I begin by discussing differences in how novices and experts in the field relate displays of data to the real world. This leads to a discussion of the use and abuse of image enhancement and color in remote sensing displays. I then show some examples of techniques used by scientists in climate and planetary research to both convey information and design research strategies using remote sensing displays.","PeriodicalId":345464,"journal":{"name":"Interpreting Remote Sensing Imagery","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129051966","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 : 2001-02-26DOI: 10.1201/9781420032819.CH4
R. J. Pike
{"title":"Scenes into Numbers: Facing the Subjective in Landform Quantification","authors":"R. J. Pike","doi":"10.1201/9781420032819.CH4","DOIUrl":"https://doi.org/10.1201/9781420032819.CH4","url":null,"abstract":"","PeriodicalId":345464,"journal":{"name":"Interpreting Remote Sensing Imagery","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123943712","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 : 2001-02-26DOI: 10.1201/9781420032819.CH7
Richard K. Lowe
{"title":"Components of Expertise in the Perception and Interpretation of Meteorological Charts","authors":"Richard K. Lowe","doi":"10.1201/9781420032819.CH7","DOIUrl":"https://doi.org/10.1201/9781420032819.CH7","url":null,"abstract":"","PeriodicalId":345464,"journal":{"name":"Interpreting Remote Sensing Imagery","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132606320","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 : 2001-02-26DOI: 10.1201/9781420032819.CH6
E. Essock, J. McCarley, M. Sinai, J. DeFord
{"title":"Human Perception of Sensor-Fused Imagery","authors":"E. Essock, J. McCarley, M. Sinai, J. DeFord","doi":"10.1201/9781420032819.CH6","DOIUrl":"https://doi.org/10.1201/9781420032819.CH6","url":null,"abstract":"","PeriodicalId":345464,"journal":{"name":"Interpreting Remote Sensing Imagery","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132754469","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 : 2001-02-26DOI: 10.1201/9781420032819.SEC2
D. Argialas, G. Miliaresis
{"title":"Human Factors in the Interpretation of Physiography by Symbolic and Numerical Representations within an Expert System","authors":"D. Argialas, G. Miliaresis","doi":"10.1201/9781420032819.SEC2","DOIUrl":"https://doi.org/10.1201/9781420032819.SEC2","url":null,"abstract":"","PeriodicalId":345464,"journal":{"name":"Interpreting Remote Sensing Imagery","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127285846","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 : 2001-02-26DOI: 10.1201/9781420032819.CH9
H. Mogil
{"title":"The Skilled Interpretation of Weather Satellite Images: Learning to See Patterns and Not Just Cues","authors":"H. Mogil","doi":"10.1201/9781420032819.CH9","DOIUrl":"https://doi.org/10.1201/9781420032819.CH9","url":null,"abstract":"","PeriodicalId":345464,"journal":{"name":"Interpreting Remote Sensing Imagery","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122250063","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 : 2001-02-26DOI: 10.1201/9781420032819.CH2
R. Hoffman, A. Markman, W. H. Carnahan
{"title":"Angles of Regard: Psychology Meets Technology in the Perception and Interpretation of Nonliteral Imagery","authors":"R. Hoffman, A. Markman, W. H. Carnahan","doi":"10.1201/9781420032819.CH2","DOIUrl":"https://doi.org/10.1201/9781420032819.CH2","url":null,"abstract":"","PeriodicalId":345464,"journal":{"name":"Interpreting Remote Sensing Imagery","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123664601","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：