Example Any words: php_solr

Example All words: Simple PHP Agenda




quacsi

We aim to develop a QUAntum Computer SImulator that runs entirely in the browser. The simulator should be able to interpret a quantum language based on quantum gates and step wise show the state of the quantum register during the computation. This project is part of the Simulation Science Laboratory, WS 2009/10 at the German Research School for Simulation Sciences http://www.grs-sim.de/

quantum javascript simulation

hopyone

The bio-droid, Hopy-ONE, was created in a laboratory Professor Jonathan Silt had set up in 2013 to research the F.L.V. (Fast Line Virus), the deadliest strain of mutating virus in the galaxy. Silt was infected and cryogenically frozen in 2026. Hopy-ONE's mission was to collect samples of the virus to aid in the production of a vaccine. The fate of Silt, who waits in cryosleep, and the fate of the entire universe, rests with Hopy-ONE. Bio-droid Hopy-ONE must collect samples of the F.L.V. at each level before moving on to the next. On each level bio-droid may move left/right, stretch and jump by shrinking and releasing itself. Also bio-droid may shoot in horizontal plane to eliminate another droids moving and shooting on the level, and extend tentacles (also morph).

platform tlk game sdl

umuc-swen646-fall09-group2

Design a database management system to support a medical information management system. Through a network, the MIMS will link and integrate computer systems located in hospitals and doctor?s offices to existing computer systems of ancillary practitioners such as pharmacy, laboratory and radiology departments. The MIMS will provide a centralized means of electronic communication between the healthcare and the ancillary health providers allowing access to view and modify patient records and provide services through an automated centralized system. The MIMS will integrate with these existing computer systems in order to retrieve and update the patient?s electronic chart to provide information that is readily available to medical practitioners. MIMS will ensure that the patient?s test results and medical treatment history are accessible, current, and correct. The MIMS will eliminate the potential for redundant tests, unnecessary procedures, misdiagnosis, and conflicting drug interactions. The objective of the MIMS is to improve patient care and facilitate fewer mistakes resulting from miscommunication between physicians and ancillary providers. MIMS will result in a positive impact on the quality of care that medical staffs provide by improving information accessibility and improving the quality of the information obtained. The MIMS will enable medical staff to make informed decisions regarding patient care, prescribed medications, tests, and procedures. Providers will interact with MIMS via a user interface specific to their role. Through the interface, the providers will have the option of manually entering patient medical data or electronically uploading the data from their computer system. The providers will not have access to view, interact with or modify the patient information that does not pertain to their level of service. MIMS will link these networks though a centralized database which will store the patient?s medical information. The healthcare providers can order tests and prescriptions through the system. The electronic prescription feature will authenticate the prescribing doctor?s signature and automatically route the prescription to the patient?s network pharmacy of choice. Whenever a healthcare provider orders a test or prescription for a patient, the chosen ancillary provider is notified by the MIMS that a test or prescription is needed. Once the ancillary provider completes the test or fills the prescription, the results are entered into MIMS and the patient records are immediately updated and accessible by the healthcare provider. The MIMS will inform the healthcare provider that the test results are available or that a prescription has been filled. The system will manage the following patient information: ? Patient General Information ? Past Diagnosis ? Past Procedures ? Prescribed Medications ? Prescribed Lab Tests ? Prescriptions Filled ? Laboratory Test Results ? Preferred Pharmacy ? Primary Care Physician Information ? Prescribing Physician Contact Information ? Doctor?s Notes and Comments Computerized medical records will require authentication in order to access patient accounts based upon their authorization level and role. To aid in security and to provide non-repudiation, an audit log will be maintained detailing all access to MIMS. The security process will protect patient medical information and healthcare provider systems and ensure compliance with Health Insurance Portability and Accountability Act (HIPAA). The completion date has been set for January 2011.

fragmentation-analyzer

Fragmentation AnalyzerNews What is Fragmentation Analyzer? Supported Input Data Downloading and Installing Requirements Downloading Troubleshooting Tutorial Importing Data Supported Text File Format Upgrading Support Source Screenshots NewsFebruary 27. 2010: Fragmentation Analyzer v1.5 is now available: Two new plotting types have been added: Intensity Correlation and Intensity Meta Plots. Both to help analyze the varations in intensity. Fixed the plotting colors so that b ions are always blue and y ions are always red in all plots. See ReleaseNotes for complete list of changes. January 11. 2010: Fragmentation Analyzer v1.4.3 is now available: Fixed a bug in the accuracy drop down menu for the 'Individual Spectra' table. Renamed and reordered the scoring types in the preference dialog. See ReleaseNotes for complete list of changes. December 04. 2009: Fragmentation Analyzer v1.4.2 is now available: It's now possible to duplicate some of the plot internal frames without having to recreate the plot. Moved the text for the fragment ion markers so that singly charged b and y ions no longer overlap. See ReleaseNotes for complete list of changes. Go to top of page What is Fragmentation Analyzer?Fragmentation Analyzer is a tool for analyzing MS/MS fragmentation data. Currently nine different analysis types are supported: Spectra Visualization - visualize the MS/MS spectra with fragment ion annotation, zooming and manual de-novo-sequencing. Intensity Box Plots - analyze intensity variation for a set of identification of the same peptide. Mass Error Scatter Plots - visualize the mass error spread in a set of selected identifications/spectra. Mass Error Bubble Plots - same as Mass Error Scatter Plots but with peak intensities added. Mass Error Box Plot - analyze the variation in mass errors. Fragment Ion Probability Plot - analyze the probability of observing specific fragment ions. Fragment Ion Heat Map - compare fragmentations using heat maps of correlation data. Intensity Correlation - detect how the intensity correlates with the spread in intensity. Intensity Meta Plots - further analyze the variations in intensity. See the screenshots for examples of the tool in action. Fragmentation Analyzer has been developed by Harald Barsnes (University of Bergen, Norway under the guidance of Prof. Dr. Lennart Martens. Go to top of page Supported Input DataFragmentation Analyzer currently supports three input formats: ms_lims 7 Mascot Dat Files OMSSA OMX Files In addition any files that can be converted to the supported text file format supported text file format can be used. (See the importing data section for details on how to import data.) Go to top of page Downloading and InstallingRequirementsFragmentation Analyzer requires Java 1.5 (or newer), which you can download for free here. Most modern computers will have Java installed already, so first try to follow the instructions below to download and run Fragmentation Analyzer before downloading Java. You only need the JRE version (and not the JDK version) to run Fragmentation Analyzer. Unless your data is stored in, or can be converted to, one of the supported data formats, the software will unfortunately not be of much help. The current version has been tested on Windows XP, Windows Vista, Mac and Linux, but should also work on other platforms, as long as Java 1.5 (or newer) is installed. If you come across problems on your platform please let us know. Go to top of page DownloadingFollow the download link, and download the latest version of FragmentationAnalyzer_X.Y.zip (where X and Y represent the version of the software). Unzipping the file, creates the following directory structure: FragmentationAnalyzer_X.Y FragmentationAnalyzer-X.Y.jar README.txt Properties (folder) DataSets (folder) lib (folder)To start the software, simply double-click the file named FragmentationAnalyzer-X.Y.jar. If this fails, try to download and install Java 1.5 or above, as explained in the previous section. (The program can also be started from the command line using the following command: java -jar FragmentationAnalyzer-X.Y.jar.) A Fragmentation Analyzer icon that can be used for shortcuts etc linking to the program is included in the zip file. An example data set is included in the DataSet folder. Go to top of page TroubleshootingDoes Not Start - If nothing happens when double clicking the Fragmentation Analyzer jar file, the most likely cause is that you don't have Java installed. Download the latest version of Java here and try again. (You only need the JRE version (and not the JDK version) to run Fragmentation Analyzer.) Does Not Start II - If Fragmentation Analyzer fails during start-up and you get the "Fragmentation Analyzer - Startup Failed" message, a file called fragmentation_analyzer.log will be created in your home directory. In this file you will find detailed information about why the program was not able to start. Does Not Start III - The most likely reason for the "Fragmentation Analyzer - Startup Failed" message is that you have installed Fragmentation Analyzer in a path containing special characters, i.e. [, %, æ, ø, å, etc. Move the converter to a different folder or rename the folder(s) causing the problem and try again. (On Linux Fragmentation Analyzer also has to be run from a path not containing spaces). Does Not Start IV - Another reason for the "Fragmentation Analyzer - Startup Failed" message could be that you have set the upper memory limit higher than your computer can handle (see points below). General Error Diagnosis - In the Properties folder (see section above for the folder structure), there is a file called ErrorLog.txt. This file contains transcripts of any errors that the application has encountered, and can be very useful in diagnosing your problem. Memory Issues - Big datasets can require a lot of memory. If the software unexpectedly fails on a big data set, and the software mentions that it ran out of memory, you should try to give the program more memory. This can be done by editing the JavaOptions.txt file in the Properties folder (see section above for the folder structure). In this file, change the -Xmx768M option to a higher number (e.g., -Xmx1500M for a maximum of appr. 1.5GB of memory). Please note that on a 32-bit operating system you can not increase this value beyond 2000M. Problem Not Solved? Or Problem Not In List Above? - See Support. Go to top of page TutorialSee Tutorial. Go to top of page Importing DataData can be imported from three different sources: ms_lims Mascot Dat Files OMSSA OMX Files ms_limsFor ms_lims one logs on to the ms_lims database via a dialog in the tool using ones normal login details. When connected all the required details about the identifications will be downloaded, while some details, e.g., the fragment ion information, is not downloaded but extracted when needed. The database connection will therefore be required during the use of the tool. Please note that depending on the size of the database the process of importing data from ms_lims might take a while. However, the progress of the import will be monitored closely and presented to the user. Mascot Dat FilesWhen importing Mascot dat files one simply selects the set of dat files to import and select the Mascot confidence level to use for the identifications. Only identifications above the selected confidence will be imported. OMSSA OMX FilesImporting OMSSA omx files is done in the same way as for Mascot dat files (except for the setting of the Mascot confidence level of course). However, the instrument name is not included in the omx file and has to be provided manually by the user for each imported file. Also note that the omx file includes very little details about the amino acid modifications, only a number , etc. The OMMSA installation folder (containing the mods.xml and usermods.xml files) therefore also has to be provided. Go to top of page Supported Text File FormatWhen a data set is imported into Fragmentation Analyzer it is divided into three parts: identifications.tx - details about the peptide identifications fragmentIons.txt - details about the fragment ions a folder of pkl files - details about the spectra identifications.txtFor ms_lims data only the identifications.txt file is created. The remaining information is extracted from the database when needed. However, a file called 'ms_lims.prop' is also created containing information about the database used. identifications.txt is a tab separated text file where the first line includes the number of lines in the file, i.e., the number of identifications. The rest of the file consists of one row per identification with the following elements: a unique identification index - Integer the identified peptide sequence (without terminals and modifications) - String the modified peptide sequence (with terminals and modifications) - String peptide precursor charge - Integer name of instrument used - String name of corresponding pkl spectrum file (see below) - String spectrum file id (if in ms_lims database) - Integer the total intensity of all the peaks in the spectrum - Double original file name (a reference to the original spectrum file) - String Either spectrum file name or spectrum id has to be provided, but the other can be set to "null". fragmentIons.txtfragmentIons.txt is also a tab separated consisting of one row per fragment ion with the following elements: a unique fragment ion index - Integer identification index (a reference to the identification the fragment comes from - Integer fragment ion type, e.g., y2, b3-H20 etc. - String fragment ion m/z value - Double fragment ion intensity - Double fragment ion number, e.g., y2 has the fragment ion number 2 - Double fragment ion mass error (the (absolute) distance between the theoretical and the experimental mass of the fragment ion (experimental mass - theoretical mass)) - Double The following fragment ion type names are recommended and will result in the best integration with the tool: Standard fragment ions, singly charged: b1, b2, y1, y2, etc. Neutral loss ions: y5-H2O, y4-NH3, etc. Doubly charged fragment ions: b2++, b4++-NH3, etc. Precursor ions: Prec, Prec-H2O 2+, etc. Immonium ions: iA, iC, etc. Spectra FolderFor non-ms_lims data sets the spectra are stored as pkl files in a folder called 'spectra'. One file per spectrum. The first line in each file contains the precursor m/z, intensity and charge. Next follows one line per peak in the spectrum with the m/z and intensity values. For more details see the example data set or the source code. Go to top of page UpgradingWhen a new version of Fragmentation Analyzer becomes available, existing users will be notified of this the next time they start the program. Upgrading is done by downloading the latest version from the download section, unzipping the file in a (preferably) empty folder, and then double clicking on the FragmentationAnalyzer_X.Y.jar file. Upgrading does not delete the older version of Fragmentation Analyzer. But after making sure that the new version is working, you can safely delete the folder containing the old version. Installing the new version in the same folder as the previously installed version can result in problems and is not recommended. DataSets created using the previous version are not automatically imported, but this can easily be achieved by copying the contents of the old DataSet folder into the DataSet folder of the newly installed version of Fragmentation Analyzer (see section above for the folder structure). A detailed overview of the changes between each Fragmentation Analyzer version can be found in the Release Notes. Go to top of page SupportFor questions or additional help, feel free to contact the authors. If appropriate please include a (preferably zipped) copy of the ErrorLog.txt file from the Properties folder. Go to top of page SourceThe source code can be viewed and downloaded by clicking the Source tab. It has mainly been developed using Netbeans, and is built and deployed using Maven. Fragmentation Analyzer also uses code from a couple of other projects: ms_lims - mass spectrometry laboratory information management system MascotDatfile Library OMSSA Parser JGoodies - Looks SwingLabs SwingX JFreeChart Spectrum Panel etc Commons-Math: The Apache Commons Mathematics Library Batik SVG Toolkit Go to top of page Screenshots(Click on the screenshot to see the full size version) Screenshot 1: Main interface of Fragmentation Analyzer. Go to top of page (Click on the screenshot to see the full size version) Screenshot 2: Boxplot of fragment ions for modified vs unmodified peptides. Go to top of page (Click on the screenshot to see the full size version) Screenshot 3: MS/MS spectra with fragment ion annotation. Go to top of page (Click on the screenshot to see the full size version) Screenshot 4: Mass Error Bubble Plot. Size of bubble relative to intensity. Color coding: instrument type. Go to top of page (Click on the screenshot to see the full size version) Screenshot 5: Mass Error Bubble Plot. Size of bubble relative to intensity. Color coding fragment ion type. Go to top of page (Click on the screenshot to see the full size version) Screenshot 6: Fragment Ion Probability Plot. Go to top of page (Click on the screenshot to see the full size version) Screenshot 7: Fragment Ion Heat Map - analyze the correlation of different fragmentation patterns. Go to top of page

mascot fragmentions proteomics massspectrometry ms_lims omssa

szulabs.org

Laboratory of Stucampus in Szu,

Provider Laboratory for the DotNetNuke Xml Module

Provider Laboratory for the DotNetNuke Xml Module

Telluride

Telluride is a Los Alamos National Laboratory project for simulation of metal casting and welding - free-surface incompressible flow with heat transfer (conductive, convective, and radiative), phase change (melting and solidification), and other physics.

The Final Byte LIMS

a platform-independant Laboratory Information Management Software (LIMS) written in Java with a focus on small to medium-sized laboratories and high mobility

official-website-jnv-raisen

ABOUT JAWAHAR NAVODAYA VIDYALAYA SCHEME National integration should inform the activity of the Government and the people alike. One way of bringing this about is to orient the education of boys and girls towards integration at an early age. One important vehicle of integration is the curriculum adumbrated in the New Education Policy. The core curriculum would naturally and inevitably contain inputs from all regions all the country and contribution from the states in ample measure. In mobility of students across the country is another crucial factor. Another important measure is the opportunity afforded to students at an impressionable age, to live and learn along with their peers from states other than their own and to get acquainted with, and motivated by experiences of National Integration in action. It has been well accepted that children with special talent or aptitude should be provided opportunities to proceed at a faster pace than others. Such children are in fact found in all section of people and in all areas including the backward. However, good quality education has been available only to well-to-do sections of society, the poor have been left out. Keeping in view these considerations, the Education Commission (1964-66) had recommended selection of a certain percentage of schools as pace setter institutions. But due to the reasons it is not practicable to select schools, institutions within the existing system for a pace-setter improvement program and therefore :- in accordance to the National Policy of Education (1986) Government of India started Navodaya Vidyalaya (Presently known as Jawahar Navodaya Vidyalaya) on an average one in each district, during the seventh five year plan. The constituted board for the purpose, aims for establishing of Jawahar Navodaya Vidyalayas are to serve the objective of excellence to develop their full potential and facilitate the process of school improvement. Future Expansion Plans : 1. In His telecast to the Nation on 22 March, 1998, Honorable Prime Minister of India Proposed twenty fold expansion of Jawahar Navodaya Vidyalaya scheme. 2. Proposed to cover 568 District during 10th Plan. 3. Award to the Jawahar Navodaya Vidyalayas in the CBSE public examination as well as to the outstanding teachers of the JNVs for their meritorious services to the children and to the Nation. EXSISTANCE OF JAWAHAR NAVODAYA VIDYALAYA RAISEN In the above reference, Jawahar Navodaya Vidyalaya Raisen came to existence as Co-Educational Residential School during 23rd March 1992 at Bari, a place 100km away from the capital city Bhopal on the National Highway No. 12 (Jaipur-Bhopal-Jabalpur Road). The nearest railway stations to reach Bari are : Pipariya-65km, Itarsi (via Hoshangabad)- 75km, Bhopal-100km and Jabalpur- 265km. However, frequent buses ply between Bhopal-Jabalpur, Itarsi-Hoshangabad-Baktara-Bari-Bareli, and Pipariya-Bareli-Bari. FINANCIAL MATTER : Jawahar Navodaya Vidyalaya Raisen is fully financed by the Government of India through an autonomous organization - Navodaya Vidyalaya Samiti (NVS), under the Ministry of Human Resource Development (HRD). VIDYALAYA MANAGEMENT COMMITTEE (VMC) : The Vidyalaya Management committee works as advisory body to supervise general functioning of the Vidyalaya. more......... SELECTION PROCEDURE : As a policy matter, 75% and 25% of children belong to rural and urban area respectively are selected for admission in class 6th through selection test (JNVST) conducted by Central Board of Secondary Education, New Delhi (NV Cell), every academic year and in 9th class against dropped out or vacant seat (s). EFFORTS ARE BEING MADE TO ENSURE THAT ONE THIRD OF STUDENTS ARE GIRLS. more...... RESULT UPDATE FOR JNVST 2007 AFFILIATION : Jawahar Navodaya Vidyalaya, Raisen is affiliated to the Central Board of Secondary Education (CBSE), New Delhi and students of the Vidyalaya appear for 10th and 12th class examination of the CBSE. STREAM : We provide Science stream to the children of class 12th with specialization in Computer Science, (IT )as optional subject, so that children may gain best specialized professional knowledge and get benefited with the modern technology. more......... SCOPE : WHY YOU SHOULD GET YOUR CHILD ADMITTED IN JAWAHAR NAVODAYA VIDYALAYA , RAISEN : Full scope are being provided to the children for innovation and experimentation in the Vidyalaya. The entire activity is organized inter alia with a view to remove psychosocial impediments to the development of personality and educational attainment because of complex and prejudices transmitted through the social environment and the accident of birth. FEES : While education is free including boarding and lodging, uniform, text books and stationary, a nominal fee of Rs. 200/- will have to be paid by the children from class 9th . However, children belonging to SC/ST, Girls, Physically Handicapped and from the families whose income is below poverty line are exempted from paying fees. TO GIVE EMPHASIS ON NATIONAL INTEGRATION POLICY 30% STUDENTS FROM THE VIDYALAYA WILL BE MIGRATED TO JAWAHAR NAVODAYA VIDYALAYA, RAJKOT, GUJARAT FOR ONE ACADEMIC YEAR. VISIT CORRESPONDING PAGES FOR ................. Excellence award Pottery workshop Girls NCC Scout Science laboratory FOR LINK : Welcome to the official website of Navodaya Vidyalaya Samiti Click Here to Enter http--www.cbse.nic.in LINK TO USEFUL WEB SITES FOR TEACHERS AND STUDENTS www.aicte.ernet.in www.indianrail.gov.in

academic resultupdate boarding fromtheauthor management safetysecurity introduction addressbook thecampus feedback admission achievement ourmission stafffaculty touristinfo

Python Linguistic Laboratory

The project is a suite of utilities to manage grammars, monolingual dictionaries and translation manuals for as many as possible languages.

vista-lab-project

The Department of Veterans Affairs has released its medical record and hospital management system, VistA, in the public domain for many years. It is proven to improve quality of care and to lower costs and is used around the world. Now, the VA is beginning to migrate the laboratory module of VistA to a commercial system. This project will maintain and enhance the current laboratory package as open source software.

medicalrecord laboratory vista

bamalab

BamaLabA system for introducing students to basic circuits and electrical propertiesOverview and PhilosophyElectronic devices have become ubiquitous in modern society. No matter how seemingly complex, however, electronic devices rely on the electrical properties of their component materials. This necessarily implies that it is becoming increasingly crucial that students of science and engineering have a detailed and hands-on understanding of the basic principles of electric circuits and the electronic properties of materials. However, a hands-on approach to teaching these concepts at the introductory undergraduate level is often lacking. To this end, I have been developing a simple and inexpensive hands-on computerized tutorial aimed at introducing beginning undergraduate students to basic circuits and electrical properties of materials. The tutorial consists of less than $200 in hardware per seat, and makes use of freely available (GPL) software. Keeping hardware cost at a minimum and freely distributing software will allow, we hope, rapid uptake of the tutorial by others. Currently, the prototype hardware and software is complete, and has been classroom tested during three semesters since Spring 2007. See http://ph102.blogspot.com for some example lab procedures, and "overview.pdf" in the downloads section (http://bamalab.googlecode.com/files/overview.pdf) for an overview of the system. An open-content course textbook is in the works that should go along nicely with the system, you can find it at http://faculty.mint.ua.edu/~pleclair/ph102/Notes/ph102_notes.pdf [~30Mb PDF]. You can download a reasonably-current binary with installer here: http://bama.ua.edu/~pleclair/Labjack/ Tutorial motivationStudents within many disciplines are exposed to the basic concepts of electronic devices and electrical properties of materials. Rarely, however, are these concepts presented in a hands-on manner. Not only is this a major gap in their educational experience, it is a serious impediment in many cases to their introduction to laboratory research. For example, many Physics students who have mastered advanced electromagnetic theory have never wired a real circuit. Fewer still have ever learned how to perform basic electrical property measurements. Almost none have performed modern, computer-assisted data acquisition and analysis. Most physics courses currently lack a computerized hands-on approach to electronics and electronic properties. One primary reason for this has been cost ? data acquisition modules comparable to what we have developed can costs thousands of dollars per seat. Project status and detailsThe current project, in development, can accomplish this at about $200/seat. What this project includes: GPL'd software to run the data acquisition hardware, laboratory procedures, complete hardware schematics and assembly instructions. Everything you need to build the hardware and install the software (less about $200) will be detailed here. Sourcing of current and voltage (including sweeps), measuring of current and voltage, time-dependent behavior of RC circuits, and a simple oscilloscope are currently supported in software. I(V), V(I), and V(time) curves can be measured and saved to simple ascii files for analysis. The hardware is designed to be inexpensive, transparent, and easily assembled. Based on the Labjack U3, http://www.labjack.com

electronics circuits education

CLOUDS-LAB

Laboratory Material for the course on Cloud Computing,

hopyone

The bio-droid, Hopy-ONE, was created in a laboratory Professor Jonathan Silt had set up in 2013 to research the F.L.V. (Fast Line Virus), the deadliest strain of mutating virus in the galaxy. Silt was infected and cryogenically frozen in 2026. Hopy-ONE's mission was to collect samples of the virus to aid in the production of a vaccine. The fate of Silt, who waits in cryosleep, and the fate of the entire universe, rests with Hopy-ONE. Bio-droid Hopy-ONE must collect samples of the F.L.V. at each level before moving on to the next. On each level bio-droid may move left/right, stretch and jump by shrinking and releasing itself. Also bio-droid may shoot in horizontal plane to eliminate another droids moving and shooting on the level, and extend tentacles (also morph).

platform tlk game sdl

EP Simulator

EP Simulator is a simulation of a cardiac electrophysiology laboratory, complete with recording equipment, programmable stimulator, and, most importantly, a heart simulator that can be set up to mimic normal cardiac electrophysiology and arrhythmias.

reyage

QT, Free, Easy, Interesting, Convenient, Smart, Agile. You now what about this all? Yes this all about graph editor. This was worked like laboratory work. Just for fun. Do you want: 1) to understand graph creating process? 2) to represent someone graph structure? 3) learn something about graph? 4) watch how graph's can make you live easier? 5) do it on different operation systems? Than use it

bigbase free qt algorithms source beautiful cross-platform open graphs

xbat-core

XBAT extends MATLAB to facilitate interactive and large-scale sound analysis, as well as to promote the efficient integration and reuse of community contributions The design of XBAT models typical stages in the sound analysis process. The extensible architecture allows the basic components to be interchanged and share a common infrastructure. Users can access and visualize sounds, browse and search for salient events, and annotate and measure events. Developers can quickly create easy-to-use extensions with a powerful plug-in architecture. XBAT has been developed in collaboration with conservation scientists and animal communication researchers at the Bioacoustics Research Program of the Cornell Laboratory of Ornithology. It was designed to satisfy the diverse sound analysis needs of scientists who deal with large-scale data sets from both marine and terrestrial environments.

matlab signal-detection mp3 bioacoustics flac signal-processing

A-Lemmings

Project of team A-Team for Software Laboratory 4 course,

MidiShare

MidiShare is a real-time musical MIDI operating system. Result of many years of research and development undertaken by Computer Music Research Laboratory of Grame, MidiShare provides high level services to the field of computer music and MIDI applications