Free cayenne off road software for linux

Apache Cayenne project is a free object-relational persistence framework written in Java. Its goal is to make development of database Java applications faster and more consistent with the Object Oriented Programming concept.
Some of the ideas used in Cayenne have been inspired by the persistence mechanism of NeXTs (and now Apples) WebObjects application server.
Whats New in 2.0.3 Stable Release:
- This release features a number of bugfixes, including some serious synchronization issues.
- It is a recommended upgrade.
Whats New in 3.0M1 Development Release:
- This is the first milestone release of Cayenne 3.0.
- The most visible addition to Cayenne is a JSR-220 Java Persistence API Provider (a.k.a. JPA), but significant enhancements have been made to performance and flexibility.
- It is already in production within several products.

Macao is a framework based on Javascript and DHTML to build animated interactive homepages.
It is intended to build graphic adventures and other animated interactive fiction. Macao-based games dont need any plugin and can be hosted on static Web servers.
The framework comes with a step-by-step tutorial and a complete Java-style API documentation. It has a Road Editor and other useful tools.
Enhancements:
- This release brings a module for card games.
- Try out the online demo Macao Solitaire.
- Overall performance has been improved, and support for drag and drop has been extended.
- An additional chapter in the tutorial explains how to set the walk interval.

CTBClient is a mobile client for the CTB. The main objective of CTBClient is to allow registering expenses and other financial events in the road, and later uploading them to the mother system.
It puts in use a set of exciting technologies: Bluetooth, Python SQL DBI, serialization (marshaling) of objects, GTK+, Python for Series 60 Nokia cell phones (known as S60), perhaps PyObjc in future Mac OS X versions etc. CTBClient is also meant to be a guinea pig for portable Python development.
CTBClient is a project sponsored by INdT - Instituto Nokia de Tecnologia (Nokia Institute of Technology), where I work and have the environment and time to make such experiments.
Functional clients are:
- GTK+ Linux/local (no Bluetooth, for quick tests);
- GTK+ Linux Bluetooth
- Symbian/S60 cell phone
- GTK+/Hildon Linux (Maemo platform, like Nokia 770 tablets)
Functional servers:
- Linux/local (for testing)
- Linux/Bluetooth

RoadMap is an open source (GPL) program that provides a car navigation for Linux and UNIX. It displays a map of the streets, tracks the position provided by a NMEA-compliant GPS receiver, identifies the street matching this GPS position and announces the name of the crossing street at the next intersection. A rudimentary trip feature allows RoadMap to display some basic navigation information (distance to the destination, direction, speed, etc..). Voice messages are generated that duplicate some of the screen information.
It is possible to display a specific area by providing a (complete or incomplete) postal address, the intersection of two streets or an exact position (longitude / latitude).
The map files used by RoadMap are generated from the TIGER files provided by the US Census Bureau, and thus cover the USA only. The RoadMap map format is a binary format that is sensitive to the endianness of the processor. Maps available on this site cover all the USA and have been generated for a little endian processor (such as the Intel Pentium and StrongARM processors).
RoadMap has been designed to be usable on both a desktop or laptop PC, or on a PDA such as the iPAQ from HP (formely from COMPAQ). It can use either the Gtk 1.2 , Gtk 2.0 or QT graphic library for its user interface. The Qt interface supports the Sharps Zaurus PDA. All these machines share the same endianness and can use the maps provided on this site.
RoadMap is at an early stage of development. At this time there are no routing features implemented yet. The plan for the future is to implement some navigation features similar to those found in commercial street navigation systems. The main limit for implementing routing is the lack of navigation information in the US Census Bureau database (for example one-way street are not indicated). The US Census Bureau has clearly indicated that it does not plan to add these information in the future (the USCB does not need them).
RoadMap uses gpsd for the GPS link and flite (festival lite) for the voice messages. Note that flite can be rebuilt with better voices than the default one (such as a US voice instead of a british one--some may disagree :). See the flite README for more information. Here is an example, courtesy of Scot Wilcoxon:
cd flite make clean # to remove old executable files ./configure --with-vox=cmu_us_kal16
RoadMap comes with its own GPS status screen, which provides an overview of the satellites received and highlights those the GPS has a fix on. This status screen allows for placing the GPS device in a position that optimizes satellite reception, even if that means making the GPS devices screen not accessible.
RoadMap uses a binary file format for representing the maps that is compact enough to allow the storage of many maps on a Compact Flash or MultiMedia card. For example, the map of Los Angeles county takes about 10 Mbytes of flash space. RoadMap comes with a set of tools to convert the US Census bureau data (both the 2000 and 2002 versions) into its own map format. Future versions of the US Census bureau data will be supported as well (usually a 1 or 2 months after the data has been released).
When RoadMap starts, it displays a map of the same area that was displayed on the latest session. Clicking on the map screen triggers a "sign" that displays the name of the street, road or freeway (if any) that is the closest to the mouse hotpoint.
Enhancements:
- This version includes some GUI improvements (the user can redefine the toolbar & menu) and bug fixes.
- Improved maps are now available on the web site, which were built from the TIGER 2004se files.

Python Traffic Analyzer is a Python base class and sample driver script written to retrieve and manipulate images from the TrafficLand cameras and calculate a numeric value representing the current traffic flow.

PyTrAn, an example driver script, an image collector and an image mask creator are available for download from the link shown at the bottom. To use the PyTrAn package begin by choosing a camera that you wish to analyze, for this example well use the camera captioned above.

We want to construct a mask over the area of the image that we are interested in, namely the road. In this particular example the road takes up the majority of the image but that is not always the case.

We will apply the mask over captured images to fine tune the area over which we are looking for movement. To create the mask we will first need to collect a sequential series of snapshots from the target camera. The image_collector.py script was written for this task:

$ mkdir mask_200003
$ cd mask_200003
$ ../image_collector.py 200003 30
Collecting 30 images...
30

Done.

The script is hard coded to capture images on a 2-second delay. The delay is necessary to ensure the image has changed. I believe 2-seconds to be the absolute minimum. Once complete, 30 images numbered 1 through 30 will be created in the current directory.

We construct a mask from these captured images by creating a diff-image for each sequential image pair and then adding each diff-image together. Naturally, a script was written to automate this task as well:

$ ../mask_maker.py 1 30
Creating a diff for each sequential image pair.
Diffing 29

Creating the initial mask from the first image pair.

Adding the rest of the diffs to the mask.
Masking 29

Done.

A number of .diff files are generated in this process. These files repesent the movement between individual sequence pairs.

The .diff files are simply intermediary files, the important bit is the mask file, which is generated as the sum of all differences.

The mask file may be dirty (as in this case) and require manual cleanup. The basic shape of the road however is clearly visible, evidence that we can with minimal effort automate the mask generation process. Also, this run was conducted at night, day-time images yield better results.

There are a few final steps we need to take before we can use the example PyTrAn driver script. First we need to convert the mask to ASCII (noraw) format:

$ pnmnoraw mask > mask_200003.ascii

Then we need to open an ImageMagick display window and get its X-window-ID using xwininfo. Finally, update camera_id and window_id in pytran_sampling.py and launch the driver:

$ ../pytran_sampling.py
DEBUG> grabbing frame from camera 200003
DEBUG> rotating image: pytran.this > pytran.last
DEBUG> refreshing image in 3 secs
taking a 5 minute sample at various thresholds.
DEBUG> grabbing frame from camera 200003
DEBUG> generating frame diff on pytran.last, pytran.this
DEBUG> displaying image: pytran.diff
DEBUG> converting pytran.diff to ascii
DEBUG> calculating traffic ratio...
ratio[5]: 55%
DEBUG> calculating traffic ratio...
ratio[10]: 52%
...
...
5 minute sample[5]: 67.88
5 minute sample[10]: 42.66
5 minute sample[15]: 30.57
5 minute sample[20]: 23.03
5 minute sample[25]: 18.39
5 minute sample[30]: 14.79
5 minute sample[35]: 12.42
5 minute sample[40]: 10.53
5 minute sample[45]: 9.06
5 minute sample[50]: 7.85

The sampling script will take 5 minute samples at varying color thresholds. The optimal threshold must be manually chosen. Furthermore, you will need to sample the traffic ratios during both heavy and light traffic times to get a good feel for your acceptable range. Also, keep in mind that the traffic ratio value is simply the percent change detected, or in other words the movement detected within the masked region. This means that a completely empty road will register similar values to a road so congested it looks like a parking lot. The time of day can be combined with the traffic ration to determine the logical truth.

With this task implemented and abstracted more complex systems can be built. When I find the time Id like to create a system that will take multiple potential travel routes and times, and during the travel time e-mail the traveler with the best route to take. Another idea I had would be to record the traffic flow values for each camera, for each day and for each half hour interval. Travelers and other interested parties can then analyze traffic patterns to determine the fastest route dependant on date/time.

Dispatch Software is a software that saves time, money and increase your customer satisfaction. 100% free online, web-based dispatch software makes it easy to keep track of your vehicles.
Easily view what each vehicle will be doing each day. Export the daily schedule to a printable spreadsheet file for your driver to take on the road. View all units on one page for faster scheduling.
Dispatch drivers can view schedules ahead of time for better planning and time management.
Installation:
-copy all files to your web host
-use phpmyadmin or your mysql interface to run site.sql against your database.
-open site.xml and edit the database section with your database details.
-go to index.php and login with username of admin with a password of test.
-be sure to change the passwords for the admin and regular user.
Setup the site.xml file with your database settings as follows.
< database type="mysql" >
< server >database server address< /server >
< login >database login< /login >
< password >database password< /password >
< default >mysql database name< /default >
< /database >
Add this to your .htaccess file to prevent viewing of the xml config file.
< Files ~ ".xml" >
Order allow,deny
Deny from all
Satisfy All
< /Files >
Enhancements:
- A bug in the main library file for the dispatching system was fixed.

TimeTrex project is a complete Web-based payroll and time management suite that offers employee scheduling, attendance (time clock), job costing, invoicing/accounts receivable, and payroll in a tightly integrated package.
With the ability to interface with hardware such as iButtons, barcode readers, and cell phones, employees are able to efficiently track their time at the office or on the road.
Main features:
- TimeTrex helps organizations handle their payroll and time management needs in a more efficient and cost effective manner.
- TimeTrex helps organizations concentrate on their core business goals - the ones that generate revenue.
- TimeTrex benefits are well suited to any business, small or large, with one or more locations.
- TimeTrex allows secure and easy access to its web-based interface from anywhere in the world.
Whats New in 2.0.3 Stable Release:
- This release contains several minor bugfixes, including fixes to the installer requirements and to the employee contact information page that caused branch/department settings to reset themselves.
Whats New in 2.1.0 RC1 Development Release:
- This release contains several major new features such as a greatly improved permission system, more advanced premium policies with additional pay formulas, more advanced meal policies, better scheduling, multi-level timesheet verifications and improved reporting. This is the first release with a fully automated installer for both Windows and Linux.