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A laboratory information system (LIS) is a software system that records, manages, and stores data for clinical & medical laboratories. A LIS has traditionally been most adept at sending laboratory test orders to lab instruments, tracking those orders, and then recording the results. Boson Graphical Neural Network A 128-bit Neural Network Graphics and Physics Engine for Mac OS X 10.10. Built with Metal and Swift. Must be a registered Mac Developer with Yosemite installed. Required to build: Quartz Composer, Nvidia CUDA SDK, Max 6.1 or Max 7, Swift Compiler and Metal Compilers. Written by Eli Hutton in 2014. Apr 20, 2021 Here are some notes on how I set up an installation of OS X Tiger (10.4) on an emulated PowerPC G4 using QEMU, on a modern x8664 Mac. This setup was performed using QEMU 5.0.0 (obtained via brew install qemu ).
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- Automotive diagnostic software for Windows
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A smart vehicle is able to adjust its productivity to lower fuel consumption, show the best direction taking into account traffic and weather conditions, detect errors in the engine and collect data to arrange lower insurance rates. Most vehicles are equipped with on-board diagnostics or an OBD2 port that provides access to data from the engine control unit (ECU). To get the information you need to plug in an external device.
An OBD auto scanner is used to receive data codes and other information about the car's general conditions. One can buy diagnostic software that will let connect laptop to the OBD system in the vehicle, but automotive repair knowledge is usually also needed.
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The need for the development of various vehicle apps has been rapidly increasing and we in Archer Software have delivered a number of scanning solutions for different purposes of the automotive industry.
As usually car application has two components:
- a device - hardware configuration interface that connects to the onboard computer of the car
- and the application itself on the computer.
The car diagnostic app analyzes the records and works as a smart assistant when the car owner drives the vehicle. It analyzes many sides of the trip and provides the user with helpful tips: how to drive more cautiously, how to reduce fuel consumption and how to extend the life of the car. The main goal of applications is to give the driver more insight into their car. Vehicle maintenance apps usually help to track the car's service and gas fill-ups.
With a vehicle monitoring application that can be customized based on the needs of your organizations and customers, you can be sure your drivers are following the best practices.
Archer Software is a recognized provider of custom automotive diagnostic software development for connected cars as well as mobile apps for car owners. Our process is SPICE 4 compliant and we have a vast experience providing mobile, web, desktop, embedded development, design and delivery (introducing Continuous Integration, moving products to the cloud, integrating Automated QA, etc.).
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We've gathered 6 best automotive diagnostic software solutions that provide a simple and acceptable way to monitor your car's health.
AutoEnginuity's ScanTool is a great automotive diagnostic software for your Windows-based computer or laptop. Owners of AutoEnginuity's ScanTool claim that coverage is the main feature of the application. The application supports coverage options for 48 carmakers.
And it's also about the depth of this comprehension. The app allows access to ABS, airbag, enhanced powertrain, instrument cluster, transmission, and dozens of other body and chassis controllers and consists of online data, bi-directional controls, adaptive resets and learns, system tests, and trouble code retrieval and clearing.
AutoEnginuity has great user-friendly interfaces without sacrificing its ease-of-use and can pan, allows zooming, and displays several plots on one graph.
Other features include Print DTC and IM/Mode 6 data in an individual report format. These reports help customers to customize necessary repairs and optional repairs.
The application allows displaying data in a comfortable form instead of raw data. Data is logged in two formats: XML to use in browsers, and CSV for spreadsheets with the capability to change the format and view logs offline.
Customizable sensor data. One can change the way it displays the data about the sensor's sampling rate, ranges, set audio trigger points, units, and scaling value. Using AutoEnginuity's ScanTool one can be sure to receive a full-featured scan tool and professional-grade coverage.
ProScan
Freefalling mac os. ProScan is considered to be one of the most user-friendly PC-based OBD scanners. ProScan is often sold as a mix with hardware and software and contains all of the necessary cables, equipment, and software to turn any PC into an OBD2 code reader. Break the system mac os.
This software has some important benefits, and here are they:
- Fuel Economy tool. This car diagnostic tool helps to adapt driving behavior to lower the fuel consumption of a vehicle. This tool could be launched during a test drive while buying a car. The analysis will be available after a quick drive and one can see the real fuel consumption data for the car based upon each driver's habits. This feature can help to make the best choice when buying a car and prevent large expenses.
- Vehicle Connection Manager. The Vehicle Connection Manager is an interface you see when launching the program. To make PC - vehicle connection user should select the vehicle profile and connect via the program. It will show the connection status and view the report if the failure happens.
- Freeze Frame Data. This tool allows monitoring any data at any period by saving all the previous information. It also shows all detected problems and helps to resolve them.
- Oxygen Sensor Tests. This tool allows displaying all tests your car had for all individual oxygen sensors. If the car has a problem, this tool will help to determine if the oxygen sensors have failed and detect exactly which sensor.
- Diagnostic Report Generator. ProScan allows generating diagnostics report for a car with one button. Check engine light detector. When a car's check engine light appears, a vehicle will save a code that recognizes the problem detected(DTC). And the tool will provide a list of such DTC saved with its description so the user can detect the problem.
PCMScan
This tool is a generic automotive diagnostic scanner and a diagnostics tool that maintain a broad multiplicity of OBD2 hardware interfaces. It allows viewing, creating charts, logging, and playback of diagnostics data in the present time with the car's OBD2 diagnostic data slot. It also allows to see DTC's, Freeze Frame data, and other car info. It supports all US, Asian and European cars built after 1996.
Key benefits are:
- Customized dashboards,
- Drag Strip and Dyno feature,
- Data logging,
- DTCs,
- Test results, and other useful features like full support of printing reports, customizable alerts and other.
Automotive diagnostic software for Mac
EOBD Facile
Users can make a diagnostics of a vehicle using Mac OS and find out the reason for engine indicators without the manufacturer's pack. The connection is simple, and after that user can diagnose and see the results in real-time.
Main functions of EOBD Facile OBD Software Programming are:
- View engine faults of codes and find out their meaning
- Clear the check engine light
- Monitor special manufacturer error codes
- Make recordings of trips and save via iPhone/iPad, recover them later using EOBD Facile application
- Create and view records of GPS data
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OBD Auto Doctor
OBD2 Auto Doctor is an advanced OBD2 car diagnostics tool. It is one of the best OBD software for the OS X platform. The Auto Doctor allows the user to examine and reset the alert codes. Using this OBD2 diagnostic software a user can interact with a car's OBD2 system readily, and make a computer or a laptop with OS X a very clever automotive scanner.
OBD2 Auto Doctor is an excellent tool for people who are interested in understanding more their cars. If one wants to monitor vehicle data in the present period of time or turn off the check engine indicator, this can be very gear.
Key benefits of this OBD2 software:
- User can see if the vehicle is ready for emission tests and the transcript of DTCs, Freeze Frame, MIL
- View fuel consumption and fuel emission
- View OBD2 indicators in real-time to detect breakings
- User can turn between numerical or graphical view of all OBD2 data, imperial and metric units
- Possibility to sen this data via email
- The tool helps to read VIN, Calibration Identifications and Calibration Verification Numbers of ECU
- This car diagnostic software supports a built-in DTC database including 14000+ alarm codes.
Movi and Movi Pro
Every failure (DTC) of a vehicle is saved in the engine control module (ECM). Reading this information can help professionals to identify the problem and fix a car. Movi™ car diagnostic software helps to see this trouble codes, extract the car's freeze-frame information, and clear it, so that can turn your check engine light off.
Movi tool has these features in comparison with other software:
- User can view real-time data to help in the diagnostics of numerous engine malfunctions
- Read or clear DTCs
- Define if emission tests are finished after a repair to provide a pass at an emission testing
- View and clear freeze frame data
- User can monitor passing and average fuel consumption and fuel economy
- The driver can see battery voltage for battery and charging system condition
- Monitor a virtual horsepower
- Monitoring of virtual torque
- Monitor and make a graph to 4 engine indicators at the same time
- The tool saves a driver's sessions to view it after
- Audio tips
For more information on how we can develop connected car software solutions that are right for you, contact our experts at info@archer-soft.com.
Today we are happy to present MonetDBLite for R, a fully embedded version of MonetDB that installs like any other R package. The database runs within the R process itself (like its namesake SQLite), greatly improving efficiency of data transfers. The package is available for Linux, Mac OS X and Windows (64 bit).
R and MonetDB fit together well, with statistical programming performed in R and data wrangling handled by MonetDB. For years, we have had the MonetDB.R R package, which allows to connect to a running MonetDB server, send queries and retrieve results. Gravitron (zener) mac os. Due to the inefficiencies of shipping data around, MonetDB also supports User-Defined Functions implemented in R. However, both approaches require users to set up and maintain a separate MonetDB server. There have been numerous requests to simplify this process.
Installation of MonetDBLite is straightforward:
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This will install MonetDBLite and the latest version of the MonetDB.R client package, which contains the DBI and dplyr backends. Here is a usage example with MonetDBLite:
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Note that MonetDBLite will store the 'mtcars' table on disk in the specified directory (a temporary one here). A later R session does not need to repeat writing the data to the database and can directly work with the stored persistent tables. This considerably reduces the startup time of analyses, especially as tables get large.
To showcase the power of MonetDBLite, we compared its performance against MonetDB with the socket-based R client and RSQLite. As a real-world benchmark, we use Anthony Damico's scripts to analyse the 'Home Mortgage Disclosure Act (HMDA)' dataset . These scripts generate SQL queries to accurately reproduce statistics found in Federal Financial Institutions Examination Council (FFIEC) publications. The used data from 2006 to 2011 contains 128 Million rows of data with 71 fields each. In CSV format, the full dataset occupies 56 GB of disk space. In addition, we have produced smaller versions of the dataset with 6M and 60M tuples by way of random sampling. We ran three experiments: CSV loading, querying and full table transfer into R.
All experiments report wall clock time and were run on a Linux desktop machine with 16GB of main memory and a 3.40GHz Intel i7-2600K CPU. The query and conversion timings are from 'hot' runs. The following figure illustrate the outcome of the CSV loading experiment:
We can see how MonetDBLite and MonetDB.R are almost equal, which is of no surprise since they use the same CSV loader code. SQLite performs well except for the large dataset, where the operating system was forced to swap out virtual memory frequently.
Timings from running the HMDA queries are plotted in the following figure:
Since the query results only contain a few tuples, the socket overhead is small and the timings of MonetDBLite and MonetDB.R are again comparable. SQLite cannot benefit from the columnar storage model and performs significantly worse.
Finally, another common use case is to retrieve an entire table from the database into a R data.frame. The next figure shows timings for reading the entire 'hmda_11' table into R.
The socket-based MonetDB.R client is not able to perform well here. The client needs to convert the row-based wire protocol back to the colummnar format of data.frame objects and needs to perform extensive string parsing as well. Due to limitations in R, it did not finish (DNF) for the two larger data sets. MonetDBLite on the other hand shows stellar performance here, only taking 94 seconds to transfer 14M rows with 71 fields into R. This is largely due to their compatible columnar data representations. SQLite takes 13 times longer.
All scripts and data files used to produce these plots are available online.
We invite the interested public to try out MonetDBLite. If any issues arise, please report back to hannes@cwi.nl .
Update: MonetDBLite has been accepted to CRAN.
Update II: MonetDBLite is now on GitHub.
