Psa Interface Checker
this is the instruction to reflash your lexia interface:(1) install the [ PSA Interface Checker Install.exe ] , after installation you will get 3 new shortcuts on desktop(2) connect your lexia interface to your computer by USB cable , no need to connect to car, install the driver for the interface automatically(3) run the [ PSA Interface Checker ] from desktop, click ACTIVATE,(4) click Version of the selected file (APPLI.com), select vci_updater.com file, click Download the Flash App, wait for a few seconds untill the flash is done (when the flash is done successfully, the greem light/LED on your lexia interface will keep flashing )*** This step is for reflashing which will change the serial number of your lexia interface from Revision B to Revision C also with the original Evolution Driver !*** If the reflashing procedure only takes 1 second in your side , usually that means the
Psa Interface Checker
DiagBox usually checks the firmware (1) on the VCI ,every time it starts, and upgrade/downgrade as necessary. But this (checking) functionality has been disabled in maitresox releases. I normally leave it enabled and wrote a post on how to restore this automated function (together with the necessary files). However, you can use PSA interface checker to perform it manually.
So far the only solution was to make a programming interface to reflash the MCU and desoldering SPI EEPROM to be able to reprogram on an EEPROM programmer.You could do it yourself, but it is not accessible to everyone, and send it to someone who updates your interface to cost money.
As electronics and have already developed on the MCU used in this interface (MB90F546), I developed a special program which is injected into the interface through USB with PSA Interface Checker and allows the upgrade for it to be recognized usb com Evolution board and also change the serial number for a No. non blacklisted series. The interface then becomes compatible with the latest versions of diagbox 8)
This is much better than no single series for everyone, even if existing, for if one day the manufacturer decides to blacklist the serial number, then all these interfaces are found inconsistent with the future versions diagbox !!
And at worst, if one day the serial number that I provided you can no longer work correctly with future versions of diagbox, and although it will be enough to remake me a request and I will provide a new update file to change by the usb serial number in eeprom, always without removing the interface
The Astrophysics Multispectral Archive Search Engine (AMASE) uses object-oriented database techniques to provide a uniform multi-mission and multi-spectral interface to search for data in the distributed archives. We describe our experience of porting AMASE from Illustra object-relational DBMS to the Informix Universal Data Server. New capabilities and utilities have been developed, including a spatial datablade that supports Nearest Neighbor queries.
The STScI Archive Manual provides information a user needs to know to access the HST archive via its two user interfaces: StarView and a World Wide Web (WWW) interface. It provides descriptions of the StarView screens used to access information in the database and the format of that information, and introduces the use to the WWW interface. Using the two interfaces, users can search for observations, preview public data, and retrieve data from the archive. Using StarView one can also find calibration reference files and perform detailed association searches. With the WWW interface archive users can access, and obtain information on, all Multimission Archive at Space Telescope (MAST) data, a collection of mainly optical and ultraviolet datasets which include, amongst others, the International Ultraviolet Explorer (IUE) Final Archive. Both interfaces feature a name resolver which simplifies searches based on target name.
This version of the HST Archive Primer provides the basic information a user needs to know to access the HST archive via StarView the new user interface to the archive. Using StarView, users can search for observations interest, find calibration reference files, and retrieve data from the archive. Both the terminal version of StarView and the X-windows version feature a name resolver which simplifies searches of the HST archive based on target name. In addition, the X-windows version of StarView allows preview of all public HST data; compressed versions of public images are displayed via SAOIMAGE, while spectra are plotted using the public plotting package, XMGR. Finally, the version of StarView described here features screens designed for observers preparing Cycle 5 HST proposals.
We have developed a public science archive system, Subaru-Mitaka-Okayama-Kiso Archive system (SMOKA), as a successor of Mitaka-Okayama-Kiso Archive (MOKA) system. SMOKA provides an access to the public data of Subaru Telescope, the 188 cm telescope at Okayama Astrophysical Observatory, and the 105 cm Schmidt telescope at Kiso Observatory of the University of Tokyo. Since 1997, we have tried to compile the dictionary of FITS header keywords. The accomplishment of the dictionary enabled us to construct an unified public archive of the data obtained with various instruments at the telescopes. SMOKA has two kinds of user interfaces; Simple Search and Advanced Search. Novices can search data by simply selecting the name of the target with the Simple Search interface. Experts would prefer to set detailed constraints on the query, using the Advanced Search interface. In order to improve the efficiency of searching, several new features are implemented, such as archive status plots, calibration data search, an annotation system, and an improved Quick Look Image browsing system. We can efficiently develop and operate SMOKA by adopting a three-tier model for the system. Java servlets and Java Server Pages (JSP) are useful to separate the front-end presentation from the middle and back-end tiers.
The problems of managing and searching large archives of scientific journal articles can potentially be addressed through data mining and statistical techniques matured primarily for quantitative scientific data analysis. A journal paper could be represented by a multivariate descriptor, e.g., the occurrence counts of a number key technical terms or phrases (keywords), perhaps derived from a controlled vocabulary ( e . g . , the American Meteorological Society's Glossary of Meteorology) or bootstrapped from the journal archive itself. With this technique, conventional statistical classification tools can be leveraged to address challenges faced by both scientists and professional societies in knowledge management. For example, cluster analyses can be used to find bundles of "most-related" papers, and address the issue of journal bifurcation (when is a new journal necessary, and what topics should it encompass). Similarly, neural networks can be trained to predict the optimal journal (within a society's collection) in which a newly submitted paper should be published. Comparable techniques could enable very powerful end-user tools for journal searches, all premised on the view of a paper as a data point in a multidimensional descriptor space, e.g.: "find papers most similar to the one I am reading", "build a personalized subscription service, based on the content of the papers I am interested in, rather than preselected keywords", "find suitable reviewers, based on the content of their own published works", etc. Such services may represent the next "quantum leap" beyond the rudimentary search interfaces currently provided to end-users, as well as a compelling value-added component needed to bridge the print-to-digital-medium gap, and help stabilize professional societies' revenue stream during the print-to-digital transition.
The European Hubble Archive (hereafter eHST), hosted at ESA's European Space Astronomy Centre, has been released for public use in October 2015. The eHST is now fully integrated with the other ESA science archives to ensure long-term preservation of the Hubble data, consisting of more than 1 million observations from 10 different scientific instruments. The public HST data, the Hubble Legacy Archive, and the high-level science data products are now all available to scientists through a single, carefully designed and user friendly web interface. In this talk, I will show how the the eHST can help boost archival research, including how to search on sources in the field of view thanks to precise footprints projected onto the sky, how to obtain enhanced previews of imaging data and interactive spectral plots, and how to directly link observations with already published papers. To maximise the scientific exploitation of Hubble's data, the eHST offers connectivity to virtual observatory tools, easily integrates with the recently released Hubble Source Catalog, and is fully accessible through ESA's archives multi-mission interface.
Data discovery, particularly the discovery of key variables and their inter-relationships, is key to secondary data analysis, and in-turn, the evolving field of data science. Interface designers have presumed that their users are domain experts, and so they have provided complex interfaces to support these "experts." Such interfaces hark back to a time when searches needed to be accurate first time as there was a high computational cost associated with each search. Our work is part of a governmental research initiative between the medical and social research funding bodies to improve the use of social data in medical research. The cross-disciplinary nature of data science can make no assumptions regarding the domain expertise of a particular scientist, whose interests may intersect multiple domains. Here we consider the common requirement for scientists to seek archived data for secondary analysis. This has more in common with search needs of the "Google generation" than with their single-domain, single-tool forebears. Our study compares a Google-like interface with traditional ways of searching for noncomplex health data in a data archive. Two user interfaces are evaluated for the same set of tasks in extracting data from surveys stored in the UK Data Archive (UKDA). One interface, Web search, is "Google-like," enabling users to browse, search for, and view metadata about study variables, whereas the other, traditional search, has standard multioption user interface. Using a comprehensive set of tasks with 20 volunteers, we found that the Web search interface met data discovery needs and expectations better than the traditional search. A task interface repeated measures analysis showed a main effect indicating that answers found through the Web search interface were more likely to be correct (F1,19=37.3, P