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  • How to control fan speed and temperatures on Asus A8Js laptop running Ubuntu Server?

    - by Azeworai
    Hi, I have tried installing asusfan and lm-sensors but I'm unable to control my fans to cool my laptop down sufficiently. Currently it overheats at about 100 degrees celsius and my sensors output somehow does not have any fan information on it: jackson@OLYMPIA:~$ sensors acpitz-virtual-0 Adapter: Virtual device temp1: +69.0°C (crit = +110.0°C) coretemp-isa-0000 Adapter: ISA adapter Core 0: +66.0°C (high = +100.0°C, crit = +100.0°C) coretemp-isa-0001 Adapter: ISA adapter Core 1: +66.0°C (high = +100.0°C, crit = +100.0°C) I have checked my bios and there isn't any fan settings there. I can consistently overheat just by converting a video via Handbrake. I have ubuntu-desktop installed for a GUI. Is there a way for me to control my fans to start spinning before it reaches a critical temperature and kills itself?

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  • Loud fans despite cool system under Linux (but not Windows)

    - by Sman789
    My new desktop computer runs almost silently under Windows, but the fans seem to run on a constantly high setting under Linux. Psensor shows that the GPU (with NVidia drivers) is thirty-something degrees and the CPU is about the same, so it's not just down to Linux somehow being more processor-intensive. I've read that the BIOS controls the fans under Linux, which makes sense given the high fan speeds when in BIOS as well. It's under Windows, when the ASUS AI Suite 3 software seems to take control, that the system runs more quietly and only speeds the fans up when required. So is there a Linux app which offers a similar dynamic control of the fans, or a setting hidden somewhere in the ASUS BIOS which allows the same but regardless of the OS? EDIT - I've tried using lm-sensors and fancontrol, but pwmconfig tells me "There are no pwm-capable sensor modules installed". This is after the sensors-detect command does find an 'Intel digital thermal sensor', and despite the sensors working fine in apps like psensor. Help getting this to work would likely solve the problem.

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  • How to control fan speed and temperatures on Asus A8Js laptop?

    - by Azeworai
    I have tried installing asusfan and lm-sensors but I'm unable to control my fans to cool my laptop down sufficiently. Currently it overheats at about 100 degrees celsius and my sensors output somehow does not have any fan information on it: jackson@OLYMPIA:~$ sensors acpitz-virtual-0 Adapter: Virtual device temp1: +69.0°C (crit = +110.0°C) coretemp-isa-0000 Adapter: ISA adapter Core 0: +66.0°C (high = +100.0°C, crit = +100.0°C) coretemp-isa-0001 Adapter: ISA adapter Core 1: +66.0°C (high = +100.0°C, crit = +100.0°C) I have checked my bios and there isn't any fan settings there. I can consistently overheat just by converting a video via Handbrake. I have ubuntu-desktop installed for a GUI. Is there a way for me to control my fans to start spinning before it reaches a critical temperature and kills itself?

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  • HP 6735s Brightness hotkey problem; where is brightness panel?

    - by Paul
    I have installed ubuntu 11.10 on my laptop hp 6735s. The screen is often too dark and i want to make it brighter, although the hotkeys Fn+F7/F8 are not working. I have tried some things: Firstly it appears that sometimes they are in fact working, after reboot they either work and continue to do so or they don't. I've read about a brightness applet; but where can i find or install it? I have tried some grub options; acpi_osi=Linux and acpi_backlight=vendor but nothing changes. I don't want to add another question but since it might be related: my laptop also gets quite hot, i'm having doubts whether ubuntu connects to the available sensors and cooling plans (or how does it work???); sensors (or psensor) only shows 2 sensors both named temp1. Any help is greatly appreciated! Paul

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  • DAQ Triggers in Matlab

    - by RidePlanet
    I'm writing a program that detects the speed of a object by hall effect sensors that are run into MATLAB through a DAQ (MCC USB-1408FS) The problem that has arisen is that I'm using a non-stop scan technique to detect the state of one of 3 sensors. Unfortunately this means that unless the object is rotating past each sensor at the exact rate the program runs, I will see an instantaneous speed (done by comparing the time between two sensors) of zero. I need the sensors to signal the program to count when they are hit, instead of constantly scanning for the signal. How can this be done?

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  • BIOS upgrade lowers CPU temperature

    - by N.N.
    Setup I've got a system with an Asus P8Z68-V PRO motherboard and an Intel Core i7-2600K CPU running at stock speed (no overlocking) which I cool with a Noctua NH-U12P. On the heatsink I've got the two included fans connected via the included Low-Noise Adapters (L.N.A.) 1100 RPM, 16.9 dB(A). In the BIOS settings I've set the CPU and chassis fan profile to silent. Issue Yesterday I upgraded from BIOS version 0501 to 0606. After the upgrade I checked the temperatures in the BIOS monitor and was surprised to see that the CPU temperature was slightly ~30°C. Before the upgrade the CPU temperature was ~50°C with the same BIOS settings (see the following heading for details on temperatures). How can this be? It seems a bit odd that a BIOS upgrade can lower the CPU temperature by 20°C and it also seems odd that the CPU temperature is lower than the chassis temperature. Temperatures When I've checked temperatures the room temperature has been ~23°C. I haven't changed the placement of the computer nor the hardware or cooling setup between BIOS versions. BIOS version 0501 BIOS monitor: CPU: ~50°C Chassis: ~33°C I haven't got any temperature measures from lm-sensors or the like for version 0501 because I only discovered the issue after upgrading to version 0606 and the BIOS updater utility won't let me downgrade to version 0501 (it says "outdated image" when I try to load version 0501). BIOS version 0606 BIOS monitor: CPU: ~30°C Chassis: ~33°C lm-sensors in Ubuntu 11.04 Desktop 64-bit (sudo sensors after an uptime of 4 h 52 min and a load average of 0.22, 0.18, 0.15): coretemp-isa-0000 Adapter: ISA adapter Core 0: +32.0°C (high = +80.0°C, crit = +98.0°C) coretemp-isa-0001 Adapter: ISA adapter Core 1: +35.0°C (high = +80.0°C, crit = +98.0°C) coretemp-isa-0002 Adapter: ISA adapter Core 2: +29.0°C (high = +80.0°C, crit = +98.0°C) coretemp-isa-0003 Adapter: ISA adapter Core 3: +36.0°C (high = +80.0°C, crit = +98.0°C) The BIOS monitor temperatures was checked directly after the lm-sensors temperatures was checked. BIOS version 0706, 0801, 1101 and 3203 I get the same kind of temperatures both in the BIOS monitor and with lm-sensors in BIOS version 0706, 0801, 1101 and 3203 as in 0606. Information from Asus The 0606 changelog mentions nothing explicitly about CPU temperature (but item 3., as indicated by sidran32, might affect temperatures): P8Z68-V PRO 0606 BIOS with IRST 10.6.0.1002 Enable the support of Intel Rapid Storage Technology version 10.6.0.1002 Release Improve DRAM compatibility Improve System stability Improve compatibility with some Raid card model Increase IGD share memory size to 512MB However the following FAQ might give a hint: FAQs I find that the CPU temperature reading in BIOS is about 10~20 degrees centigrade hotter than the reading in OS. Is it normal? Page Tools Solution That is normal as BIOS does not send idle command to the CPU, making most of the power saving features useless. You should be getting similar reading if you disable EIST/C1E/CPU C3 Report/CPU C6 Report in BIOS.

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  • Your finger prints may unlock your iPhone and it’s digital wallets

    - by Gopinath
    The next version of iPhone is going to have a biometric sensor which may allow your finger prints to authenticate and authorize – unlock the device, sign in to an account, authorize a credit card transaction, etc . The iOS 7 beta 4 released couple of days ago had many traces of biometric software libraries embedded in the OS and they make it pretty clear that Apple is preparing a new iPhone with finger sensor. Biometric sensors are not something new in digital devices. Most of us have been already using them on your laptops to unlock the computers as well as to launch applications. Though these sensors are available in many devices, they are hardly reliable. My personal laptop has a biometric sensor and half of the time either it does not work or it does not recognize my finger prints. When works, it works like a charm and very easy to unlock my device. But Apple is known for delivering great products by nailing down technical challenges and blending technology with beautiful user interfaces.  They had been doing when Steve Jobs was leading the pack and hope his legacy will be carried forward by Tim Cook by delivering amazing products in coming months.  I expect iPhone finger sensors to work flawlessly. Photo credit: flickr/nettsu

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  • Cannot get temperatures in Dell Studio 1558

    - by Athul Iddya
    I could never get proper temperatures on my Dell Studio 1558. lm-sensors and acpi give wrong readings. The output of sensors is, $ sensors acpitz-virtual-0 Adapter: Virtual device temp1: +26.8°C (crit = +100.0°C) temp2: +0.0°C (crit = +100.0°C) acpi -V gives me, $ acpi -V Battery 0: Full, 100% Battery 0: design capacity 414 mAh, last full capacity 369 mAh = 89% Adapter 0: on-line Thermal 0: ok, 0.0 degrees C Thermal 0: trip point 0 switches to mode critical at temperature 100.0 degrees C Thermal 0: trip point 1 switches to mode passive at temperature 95.0 degrees C Thermal 0: trip point 2 switches to mode active at temperature 71.0 degrees C Thermal 0: trip point 3 switches to mode active at temperature 55.0 degrees C Thermal 1: ok, 26.8 degrees C Thermal 1: trip point 0 switches to mode critical at temperature 100.0 degrees C Thermal 1: trip point 1 switches to mode active at temperature 71.0 degrees C Thermal 1: trip point 2 switches to mode active at temperature 55.0 degrees C Cooling 0: LCD 0 of 15 Cooling 1: Processor 0 of 10 Cooling 2: Processor 0 of 10 Cooling 3: Processor 0 of 10 Cooling 4: Processor 0 of 10 Cooling 5: Fan 0 of 1 Cooling 6: Fan 0 of 1 I suspect even hddtemp gives bogus readings as its always at 46 $ sudo hddtemp /dev/sda /dev/sda: ST9500420AS: 46°C I have gone through some bug reports and some used to have the same problem after resuming from suspend. But I always have this problem. I had updated to the latest BIOS from Windows a couple of weeks ago, will updating from Ubuntu change anything? CORRECTION: hddtemp's readings do change. Its now at 45.

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  • Design pattern for an automated mechanical test bench

    - by JJS
    Background I have a test fixture with a number of communication/data acquisition devices on it that is used as an end of line test for a product. Because of all the various sensors used in the bench and the need to run the test procedure in near real-time, I'm having a hard time structuring the program to be more friendly to modify later on. For example, a National Instruments USB data acquisition device is used to control an analog output (load) and monitor an analog input (current), a digital scale with a serial data interface measures position, an air pressure gauge with a different serial data interface, and the product is interfaced through a proprietary DLL that handles its own serial communication. The hard part The "real-time" aspect of the program is my biggest tripping point. For example, I need to time how long the product needs to go from position 0 to position 10,000 to the tenth of a second. While it's traveling, I need to ramp up an output of the NI DAQ when it reaches position 6,000 and ramp it down when it reaches position 8,000. This sort of control looks easy from browsing NI's LabVIEW docs but I'm stuck with C# for now. All external communication is done by polling which makes for lots of annoying loops. I've slapped together a loose Producer Consumer model where the Producer thread loops through reading the sensors and sets the outputs. The Consumer thread executes functions containing timed loops that poll the Producer for current data and execute movement commands as required. The UI thread polls both threads for updating some gauges indicating current test progress. Unsure where to start Is there a more appropriate pattern for this type of application? Are there any good resources for writing control loops in software (non-LabVIEW) that interface with external sensors and whatnot?

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  • AngularJS dealing with large data sets (Strategy)

    - by Brian
    I am working on developing a personal temperature logging viewer based on my rasppi curl'ing data into my web server's api. Temperatures are taken every 2 seconds and I can have several temperature sensors posting data. Needless to say I will have a lot of data to handle even within the scope of an hour. I have implemented a very simple paging api from the server so the server doesn't timeout and is currently only returning data in 1000 units per call, then paging through the data. I had the idea to intially show say the last 20 minutes of data from a sensor (or all sensors depending on user choices), then allowing the user to select other timeframes from which to show data. The issue comes in when you want to view all sensors or an extended time period (say 24 hours). Is there a best practice of handling this large amount of data? Would it be useful to load those first 20 minutes into the live view and then cache into local storage something like the last 24 hours? I haven't been able to find a decent idea of this in use yet even though there are a lot of ways to take this problem. I am just looking for some suggestions as to what might provide a good balance between good performance and not caching the entire data set on the client side (as beyond a week of data this might not be feasible).

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  • How to implement/debug a sensor driver in ANDROID

    - by CVS-2600Hertz-wordpress-com
    Does anyone know of a walk-through or any examples of any code to setup sensors in android. I have the drivers available to me. Also i have implemented the sensors library as instructed in the Android-Reference along the sensors.h template. I am still unable to get any response at the apps level. How do i trace this issue? what might be the problem? Thanks in advance UPDATE: Jorgesys's link below points to a great APP to test if the sensor drivers are functioning properly or not. Not that i know they are not functioning, Any ideas of on where to dig??...

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  • android detect is gyroscope available

    - by Tan Jit Ren
    How can I detect whether the android device has gyroscope? Currently I'm using the following method to detect whether gyroscope is available. If gyroscope not available, then use accelerometer. SensorManager mgr = (SensorManager) getSystemService(SENSOR_SERVICE); List<Sensor> sensors = mgr.getSensorList(Sensor.TYPE_ALL); for (Sensor sensor : sensors) { Log.i("sensors",sensor.getName()); if(sensor.getName().contains("Gyroscope")){ try{ mSensorManager.registerListener(this, mSensorManager.getDefaultSensor(Sensor.TYPE_ROTATION_VECTOR), SensorManager.SENSOR_DELAY_FASTEST); return; }catch(Exception e){ } } } mSensorManager.registerListener(this, mSensorManager.getDefaultSensor(Sensor.TYPE_ACCELEROMETER), SensorManager.SENSOR_DELAY_FASTEST); However some of my app users complaint they can't use gyroscope. Is there any problem with the code?

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  • LSI 9285-8e and Supermicro SC837E26-RJBOD1 duplicate enclosure ID and slot numbers

    - by Andy Shinn
    I am working with 2 x Supermicro SC837E26-RJBOD1 chassis connected to a single LSI 9285-8e card in a Supermicro 1U host. There are 28 drives in each chassis for a total of 56 drives in 28 RAID1 mirrors. The problem I am running in to is that there are duplicate slots for the 2 chassis (the slots list twice and only go from 0 to 27). All the drives also show the same enclosure ID (ID 36). However, MegaCLI -encinfo lists the 2 enclosures correctly (ID 36 and ID 65). My question is, why would this happen? Is there an option I am missing to use 2 enclosures effectively? This is blocking me rebuilding a drive that failed in slot 11 since I can only specify enclosure and slot as parameters to replace a drive. When I do this, it picks the wrong slot 11 (device ID 46 instead of device ID 19). Adapter #1 is the LSI 9285-8e, adapter #0 (which I removed due to space limitations) is the onboard LSI. Adapter information: Adapter #1 ============================================================================== Versions ================ Product Name : LSI MegaRAID SAS 9285-8e Serial No : SV12704804 FW Package Build: 23.1.1-0004 Mfg. Data ================ Mfg. Date : 06/30/11 Rework Date : 00/00/00 Revision No : 00A Battery FRU : N/A Image Versions in Flash: ================ BIOS Version : 5.25.00_4.11.05.00_0x05040000 WebBIOS Version : 6.1-20-e_20-Rel Preboot CLI Version: 05.01-04:#%00001 FW Version : 3.140.15-1320 NVDATA Version : 2.1106.03-0051 Boot Block Version : 2.04.00.00-0001 BOOT Version : 06.253.57.219 Pending Images in Flash ================ None PCI Info ================ Vendor Id : 1000 Device Id : 005b SubVendorId : 1000 SubDeviceId : 9285 Host Interface : PCIE ChipRevision : B0 Number of Frontend Port: 0 Device Interface : PCIE Number of Backend Port: 8 Port : Address 0 5003048000ee8e7f 1 5003048000ee8a7f 2 0000000000000000 3 0000000000000000 4 0000000000000000 5 0000000000000000 6 0000000000000000 7 0000000000000000 HW Configuration ================ SAS Address : 500605b0038f9210 BBU : Present Alarm : Present NVRAM : Present Serial Debugger : Present Memory : Present Flash : Present Memory Size : 1024MB TPM : Absent On board Expander: Absent Upgrade Key : Absent Temperature sensor for ROC : Present Temperature sensor for controller : Absent ROC temperature : 70 degree Celcius Settings ================ Current Time : 18:24:36 3/13, 2012 Predictive Fail Poll Interval : 300sec Interrupt Throttle Active Count : 16 Interrupt Throttle Completion : 50us Rebuild Rate : 30% PR Rate : 30% BGI Rate : 30% Check Consistency Rate : 30% Reconstruction Rate : 30% Cache Flush Interval : 4s Max Drives to Spinup at One Time : 2 Delay Among Spinup Groups : 12s Physical Drive Coercion Mode : Disabled Cluster Mode : Disabled Alarm : Enabled Auto Rebuild : Enabled Battery Warning : Enabled Ecc Bucket Size : 15 Ecc Bucket Leak Rate : 1440 Minutes Restore HotSpare on Insertion : Disabled Expose Enclosure Devices : Enabled Maintain PD Fail History : Enabled Host Request Reordering : Enabled Auto Detect BackPlane Enabled : SGPIO/i2c SEP Load Balance Mode : Auto Use FDE Only : No Security Key Assigned : No Security Key Failed : No Security Key Not Backedup : No Default LD PowerSave Policy : Controller Defined Maximum number of direct attached drives to spin up in 1 min : 10 Any Offline VD Cache Preserved : No Allow Boot with Preserved Cache : No Disable Online Controller Reset : No PFK in NVRAM : No Use disk activity for locate : No Capabilities ================ RAID Level Supported : RAID0, RAID1, RAID5, RAID6, RAID00, RAID10, RAID50, RAID60, PRL 11, PRL 11 with spanning, SRL 3 supported, PRL11-RLQ0 DDF layout with no span, PRL11-RLQ0 DDF layout with span Supported Drives : SAS, SATA Allowed Mixing: Mix in Enclosure Allowed Mix of SAS/SATA of HDD type in VD Allowed Status ================ ECC Bucket Count : 0 Limitations ================ Max Arms Per VD : 32 Max Spans Per VD : 8 Max Arrays : 128 Max Number of VDs : 64 Max Parallel Commands : 1008 Max SGE Count : 60 Max Data Transfer Size : 8192 sectors Max Strips PerIO : 42 Max LD per array : 16 Min Strip Size : 8 KB Max Strip Size : 1.0 MB Max Configurable CacheCade Size: 0 GB Current Size of CacheCade : 0 GB Current Size of FW Cache : 887 MB Device Present ================ Virtual Drives : 28 Degraded : 0 Offline : 0 Physical Devices : 59 Disks : 56 Critical Disks : 0 Failed Disks : 0 Supported Adapter Operations ================ Rebuild Rate : Yes CC Rate : Yes BGI Rate : Yes Reconstruct Rate : Yes Patrol Read Rate : Yes Alarm Control : Yes Cluster Support : No BBU : No Spanning : Yes Dedicated Hot Spare : Yes Revertible Hot Spares : Yes Foreign Config Import : Yes Self Diagnostic : Yes Allow Mixed Redundancy on Array : No Global Hot Spares : Yes Deny SCSI Passthrough : No Deny SMP Passthrough : No Deny STP Passthrough : No Support Security : No Snapshot Enabled : No Support the OCE without adding drives : Yes Support PFK : Yes Support PI : No Support Boot Time PFK Change : Yes Disable Online PFK Change : No PFK TrailTime Remaining : 0 days 0 hours Support Shield State : Yes Block SSD Write Disk Cache Change: Yes Supported VD Operations ================ Read Policy : Yes Write Policy : Yes IO Policy : Yes Access Policy : Yes Disk Cache Policy : Yes Reconstruction : Yes Deny Locate : No Deny CC : No Allow Ctrl Encryption: No Enable LDBBM : No Support Breakmirror : No Power Savings : Yes Supported PD Operations ================ Force Online : Yes Force Offline : Yes Force Rebuild : Yes Deny Force Failed : No Deny Force Good/Bad : No Deny Missing Replace : No Deny Clear : No Deny Locate : No Support Temperature : Yes Disable Copyback : No Enable JBOD : No Enable Copyback on SMART : No Enable Copyback to SSD on SMART Error : Yes Enable SSD Patrol Read : No PR Correct Unconfigured Areas : Yes Enable Spin Down of UnConfigured Drives : Yes Disable Spin Down of hot spares : No Spin Down time : 30 T10 Power State : Yes Error Counters ================ Memory Correctable Errors : 0 Memory Uncorrectable Errors : 0 Cluster Information ================ Cluster Permitted : No Cluster Active : No Default Settings ================ Phy Polarity : 0 Phy PolaritySplit : 0 Background Rate : 30 Strip Size : 64kB Flush Time : 4 seconds Write Policy : WB Read Policy : Adaptive Cache When BBU Bad : Disabled Cached IO : No SMART Mode : Mode 6 Alarm Disable : Yes Coercion Mode : None ZCR Config : Unknown Dirty LED Shows Drive Activity : No BIOS Continue on Error : No Spin Down Mode : None Allowed Device Type : SAS/SATA Mix Allow Mix in Enclosure : Yes Allow HDD SAS/SATA Mix in VD : Yes Allow SSD SAS/SATA Mix in VD : No Allow HDD/SSD Mix in VD : No Allow SATA in Cluster : No Max Chained Enclosures : 16 Disable Ctrl-R : Yes Enable Web BIOS : Yes Direct PD Mapping : No BIOS Enumerate VDs : Yes Restore Hot Spare on Insertion : No Expose Enclosure Devices : Yes Maintain PD Fail History : Yes Disable Puncturing : No Zero Based Enclosure Enumeration : No PreBoot CLI Enabled : Yes LED Show Drive Activity : Yes Cluster Disable : Yes SAS Disable : No Auto Detect BackPlane Enable : SGPIO/i2c SEP Use FDE Only : No Enable Led Header : No Delay during POST : 0 EnableCrashDump : No Disable Online Controller Reset : No EnableLDBBM : No Un-Certified Hard Disk Drives : Allow Treat Single span R1E as R10 : No Max LD per array : 16 Power Saving option : Don't Auto spin down Configured Drives Max power savings option is not allowed for LDs. Only T10 power conditions are to be used. Default spin down time in minutes: 30 Enable JBOD : No TTY Log In Flash : No Auto Enhanced Import : No BreakMirror RAID Support : No Disable Join Mirror : No Enable Shield State : Yes Time taken to detect CME : 60s Exit Code: 0x00 Enclosure information: # /opt/MegaRAID/MegaCli/MegaCli64 -encinfo -a1 Number of enclosures on adapter 1 -- 3 Enclosure 0: Device ID : 36 Number of Slots : 28 Number of Power Supplies : 2 Number of Fans : 3 Number of Temperature Sensors : 1 Number of Alarms : 1 Number of SIM Modules : 0 Number of Physical Drives : 28 Status : Normal Position : 1 Connector Name : Port B Enclosure type : SES VendorId is LSI CORP and Product Id is SAS2X36 VendorID and Product ID didnt match FRU Part Number : N/A Enclosure Serial Number : N/A ESM Serial Number : N/A Enclosure Zoning Mode : N/A Partner Device Id : 65 Inquiry data : Vendor Identification : LSI CORP Product Identification : SAS2X36 Product Revision Level : 0718 Vendor Specific : x36-55.7.24.1 Number of Voltage Sensors :2 Voltage Sensor :0 Voltage Sensor Status :OK Voltage Value :5020 milli volts Voltage Sensor :1 Voltage Sensor Status :OK Voltage Value :11820 milli volts Number of Power Supplies : 2 Power Supply : 0 Power Supply Status : OK Power Supply : 1 Power Supply Status : OK Number of Fans : 3 Fan : 0 Fan Speed :Low Speed Fan Status : OK Fan : 1 Fan Speed :Low Speed Fan Status : OK Fan : 2 Fan Speed :Low Speed Fan Status : OK Number of Temperature Sensors : 1 Temp Sensor : 0 Temperature : 48 Temperature Sensor Status : OK Number of Chassis : 1 Chassis : 0 Chassis Status : OK Enclosure 1: Device ID : 65 Number of Slots : 28 Number of Power Supplies : 2 Number of Fans : 3 Number of Temperature Sensors : 1 Number of Alarms : 1 Number of SIM Modules : 0 Number of Physical Drives : 28 Status : Normal Position : 1 Connector Name : Port A Enclosure type : SES VendorId is LSI CORP and Product Id is SAS2X36 VendorID and Product ID didnt match FRU Part Number : N/A Enclosure Serial Number : N/A ESM Serial Number : N/A Enclosure Zoning Mode : N/A Partner Device Id : 36 Inquiry data : Vendor Identification : LSI CORP Product Identification : SAS2X36 Product Revision Level : 0718 Vendor Specific : x36-55.7.24.1 Number of Voltage Sensors :2 Voltage Sensor :0 Voltage Sensor Status :OK Voltage Value :5020 milli volts Voltage Sensor :1 Voltage Sensor Status :OK Voltage Value :11760 milli volts Number of Power Supplies : 2 Power Supply : 0 Power Supply Status : OK Power Supply : 1 Power Supply Status : OK Number of Fans : 3 Fan : 0 Fan Speed :Low Speed Fan Status : OK Fan : 1 Fan Speed :Low Speed Fan Status : OK Fan : 2 Fan Speed :Low Speed Fan Status : OK Number of Temperature Sensors : 1 Temp Sensor : 0 Temperature : 47 Temperature Sensor Status : OK Number of Chassis : 1 Chassis : 0 Chassis Status : OK Enclosure 2: Device ID : 252 Number of Slots : 8 Number of Power Supplies : 0 Number of Fans : 0 Number of Temperature Sensors : 0 Number of Alarms : 0 Number of SIM Modules : 1 Number of Physical Drives : 0 Status : Normal Position : 1 Connector Name : Unavailable Enclosure type : SGPIO Failed in first Inquiry commnad FRU Part Number : N/A Enclosure Serial Number : N/A ESM Serial Number : N/A Enclosure Zoning Mode : N/A Partner Device Id : Unavailable Inquiry data : Vendor Identification : LSI Product Identification : SGPIO Product Revision Level : N/A Vendor Specific : Exit Code: 0x00 Now, notice that each slot 11 device shows an enclosure ID of 36, I think this is where the discrepancy happens. One should be 36. But the other should be on enclosure 65. Drives in slot 11: Enclosure Device ID: 36 Slot Number: 11 Drive's postion: DiskGroup: 5, Span: 0, Arm: 1 Enclosure position: 0 Device Id: 48 WWN: Sequence Number: 11 Media Error Count: 0 Other Error Count: 0 Predictive Failure Count: 0 Last Predictive Failure Event Seq Number: 0 PD Type: SATA Raw Size: 2.728 TB [0x15d50a3b0 Sectors] Non Coerced Size: 2.728 TB [0x15d40a3b0 Sectors] Coerced Size: 2.728 TB [0x15d400000 Sectors] Firmware state: Online, Spun Up Is Commissioned Spare : YES Device Firmware Level: A5C0 Shield Counter: 0 Successful diagnostics completion on : N/A SAS Address(0): 0x5003048000ee8a53 Connected Port Number: 1(path0) Inquiry Data: MJ1311YNG6YYXAHitachi HDS5C3030ALA630 MEAOA5C0 FDE Enable: Disable Secured: Unsecured Locked: Unlocked Needs EKM Attention: No Foreign State: None Device Speed: 6.0Gb/s Link Speed: 6.0Gb/s Media Type: Hard Disk Device Drive Temperature :30C (86.00 F) PI Eligibility: No Drive is formatted for PI information: No PI: No PI Drive's write cache : Disabled Drive's NCQ setting : Enabled Port-0 : Port status: Active Port's Linkspeed: 6.0Gb/s Drive has flagged a S.M.A.R.T alert : No Enclosure Device ID: 36 Slot Number: 11 Drive's postion: DiskGroup: 19, Span: 0, Arm: 1 Enclosure position: 0 Device Id: 19 WWN: Sequence Number: 4 Media Error Count: 0 Other Error Count: 0 Predictive Failure Count: 0 Last Predictive Failure Event Seq Number: 0 PD Type: SATA Raw Size: 2.728 TB [0x15d50a3b0 Sectors] Non Coerced Size: 2.728 TB [0x15d40a3b0 Sectors] Coerced Size: 2.728 TB [0x15d400000 Sectors] Firmware state: Online, Spun Up Is Commissioned Spare : NO Device Firmware Level: A580 Shield Counter: 0 Successful diagnostics completion on : N/A SAS Address(0): 0x5003048000ee8e53 Connected Port Number: 0(path0) Inquiry Data: MJ1313YNG1VA5CHitachi HDS5C3030ALA630 MEAOA580 FDE Enable: Disable Secured: Unsecured Locked: Unlocked Needs EKM Attention: No Foreign State: None Device Speed: 6.0Gb/s Link Speed: 6.0Gb/s Media Type: Hard Disk Device Drive Temperature :30C (86.00 F) PI Eligibility: No Drive is formatted for PI information: No PI: No PI Drive's write cache : Disabled Drive's NCQ setting : Enabled Port-0 : Port status: Active Port's Linkspeed: 6.0Gb/s Drive has flagged a S.M.A.R.T alert : No Update 06/28/12: I finally have some new information about (what we think) the root cause of this problem so I thought I would share. After getting in contact with a very knowledgeable Supermicro tech, they provided us with a tool called Xflash (doesn't appear to be readily available on their FTP). When we gathered some information using this utility, my colleague found something very strange: root@mogile2 test]# ./xflash.dat -i get avail Initializing Interface. Expander: SAS2X36 (SAS2x36) 1) SAS2X36 (SAS2x36) (50030480:00EE917F) (0.0.0.0) 2) SAS2X36 (SAS2x36) (50030480:00E9D67F) (0.0.0.0) 3) SAS2X36 (SAS2x36) (50030480:0112D97F) (0.0.0.0) This lists the connected enclosures. You see the 3 connected (we have since added a 3rd and a 4th which is not yet showing up) with their respective SAS address / WWN (50030480:00EE917F). Now we can use this address to get information on the individual enclosures: [root@mogile2 test]# ./xflash.dat -i 5003048000EE917F get exp Initializing Interface. Expander: SAS2X36 (SAS2x36) Reading the expander information.......... Expander: SAS2X36 (SAS2x36) B3 SAS Address: 50030480:00EE917F Enclosure Logical Id: 50030480:0000007F IP Address: 0.0.0.0 Component Identifier: 0x0223 Component Revision: 0x05 [root@mogile2 test]# ./xflash.dat -i 5003048000E9D67F get exp Initializing Interface. Expander: SAS2X36 (SAS2x36) Reading the expander information.......... Expander: SAS2X36 (SAS2x36) B3 SAS Address: 50030480:00E9D67F Enclosure Logical Id: 50030480:0000007F IP Address: 0.0.0.0 Component Identifier: 0x0223 Component Revision: 0x05 [root@mogile2 test]# ./xflash.dat -i 500304800112D97F get exp Initializing Interface. Expander: SAS2X36 (SAS2x36) Reading the expander information.......... Expander: SAS2X36 (SAS2x36) B3 SAS Address: 50030480:0112D97F Enclosure Logical Id: 50030480:0112D97F IP Address: 0.0.0.0 Component Identifier: 0x0223 Component Revision: 0x05 Did you catch it? The first 2 enclosures logical ID is partially masked out where the 3rd one (which has a correct unique enclosure ID) is not. We pointed this out to Supermicro and were able to confirm that this address is supposed to be set during manufacturing and there was a problem with a certain batch of these enclosures where the logical ID was not set. We believe that the RAID controller is determining the ID based on the logical ID and since our first 2 enclosures have the same logical ID, they get the same enclosure ID. We also confirmed that 0000007F is the default which comes from LSI as an ID. The next pointer that helps confirm this could be a manufacturing problem with a run of JBODs is the fact that all 6 of the enclosures that have this problem begin with 00E. I believe that between 00E8 and 00EE Supermicro forgot to program the logical IDs correctly and neglected to recall or fix the problem post production. Fortunately for us, there is a tool to manage the WWN and logical ID of the devices from Supermicro: ftp://ftp.supermicro.com/utility/ExpanderXtools_Lite/. Our next step is to schedule a shutdown of these JBODs (after data migration) and reprogram the logical ID and see if it solves the problem. Update 06/28/12 #2: I just discovered this FAQ at Supermicro while Google searching for "lsi 0000007f": http://www.supermicro.com/support/faqs/faq.cfm?faq=11805. I still don't understand why, in the last several times we contacted Supermicro, they would have never directed us to this article :\

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  • Fan not working on thinkpad L430, laptop overheating

    - by Dirk B.
    I'm having problems controlling the fan of my Lenovo Thinkpad L430. The fan doesn't start. Without any fan control installed the fan just doesn't run. If I run stress, it does run a little, but it's nowhere near the speed it should be. After a while, the laptop just overheats and stops. I Tried to install tp-fancontrol, and enabled thinkpad_acpi fancontrol=1, but to no avail. If I try to set the fan speed manually, it doesn't start up. In windows, there's a program called TPFanControl. It turns out that this laptop uses a different scheme to control the fan than other thinkpads. The level runs from 0 to 255, and max = 0 and min=255. Now I'm looking for a fan control program that works for linux. Does anyone know if it actually exists? Anyone with any experience on fan control on a L430? Update: sudo pwmconfig gives the following output: # pwmconfig revision 5857 (2010-08-22) This program will search your sensors for pulse width modulation (pwm) controls, and test each one to see if it controls a fan on your motherboard. Note that many motherboards do not have pwm circuitry installed, even if your sensor chip supports pwm. We will attempt to briefly stop each fan using the pwm controls. The program will attempt to restore each fan to full speed after testing. However, it is ** very important ** that you physically verify that the fans have been to full speed after the program has completed. Found the following devices: hwmon0 is acpitz hwmon1/device is coretemp hwmon2/device is thinkpad Found the following PWM controls: hwmon2/device/pwm1 hwmon2/device/pwm1 is currently setup for automatic speed control. In general, automatic mode is preferred over manual mode, as it is more efficient and it reacts faster. Are you sure that you want to setup this output for manual control? (n) y Giving the fans some time to reach full speed... Found the following fan sensors: hwmon2/device/fan1_input current speed: 0 ... skipping! There are no working fan sensors, all readings are 0. Make sure you have a 3-wire fan connected. You may also need to increase the fan divisors. See doc/fan-divisors for more information. regards, Dirk

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  • Lenovo Thinkpad L430 overheating due to fan problems

    - by Dirk B.
    This is the same question as Fan not working on thinkpad L430, laptop overheating, but that question has been marked as a duplicate, which it is not, and I cannot reopen it. I'm having problems controlling the fan of my Lenovo Thinkpad L430. The fan doesn't start. Without any fan control installed the fan just doesn't run. If I run stress, it does run a little, but it's nowhere near the speed it should be. After a while, the laptop just overheats and stops. I Tried to install tp-fancontrol, and enabled thinkpad_acpi fancontrol=1, but to no avail. If I try to set the fan speed manually, it doesn't start up. In windows, there's a program called TPFanControl. It turns out that this laptop uses a different scheme to control the fan than other thinkpads. The level runs from 0 to 255, and max = 0 and min=255. Now I'm looking for a fan control program that works for linux. Does anyone know if it actually exists? Anyone with any experience on fan control on a L430? Update: sudo pwmconfig gives the following output: # pwmconfig revision 5857 (2010-08-22) This program will search your sensors for pulse width modulation (pwm) controls, and test each one to see if it controls a fan on your motherboard. Note that many motherboards do not have pwm circuitry installed, even if your sensor chip supports pwm. We will attempt to briefly stop each fan using the pwm controls. The program will attempt to restore each fan to full speed after testing. However, it is ** very important ** that you physically verify that the fans have been to full speed after the program has completed. Found the following devices: hwmon0 is acpitz hwmon1/device is coretemp hwmon2/device is thinkpad Found the following PWM controls: hwmon2/device/pwm1 hwmon2/device/pwm1 is currently setup for automatic speed control. In general, automatic mode is preferred over manual mode, as it is more efficient and it reacts faster. Are you sure that you want to setup this output for manual control? (n) y Giving the fans some time to reach full speed... Found the following fan sensors: hwmon2/device/fan1_input current speed: 0 ... skipping! There are no working fan sensors, all readings are 0. Make sure you have a 3-wire fan connected. You may also need to increase the fan divisors. See doc/fan-divisors for more information. update: If you need it, lspci is available here

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  • Ubuntu on Thinkpad Edge 11/13/14/15

    - by lasseespeholt
    I think a community wiki on problems (and solutions) when installing Ubuntu (10.10) on a Thinkpad Edge 11 would be nice (because I just got one ;)). I'll contribute with my own problems and solutions, and hope others will join too. Thinkwiki entry for the Edge 11 Known problems: No wifi-driver, solution: answer #1, answer #2 Fan is loud, even though it's on auto. No solution. Thinkfan is a possible solution, but correction values for sensors should be supplied (mapping sensors to specific areas). Also, one sensor is between -100C and +100C - maybe some kind of deactivation would help. FN keys stop working: see below. No sound on headphones: see below.

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  • Uncontrolled Fan and Crash

    - by RobotbeatsHuman
    I don't have sensors to properly run lm-sensors. The computer will turn on but shortly there after all the fans in it will speed way up. It stays like this for a few minutes and then the computer shuts off. Tried resetting the BIO. Went to try installing a BIOs update but it wont stay on long enough for me to try that or to do a clean install. Could this be the motherboard dying? It's mainly the CPU fan that ends up going max. after a few minutes. I checked the PSU and It's a Dell Inspiron 580. If you need more system specs just le me know.

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  • Ubuntu on Thinkpad Edge 11

    - by lasseespeholt
    Hi, I think a community wiki on problems (and solutions) when installing Ubuntu (10.10) on a Thinkpad Edge 11 would be nice (because I just got one ;)). I'll contribute with my own problems and solutions, and hope others will join too. Thinkwiki entry for the Edge 11 Known problems: No wifi-driver, solution: answer #1, answer #2 Fan is load, even though it's on auto. No solution. Thinkfan is a possible solution, but correction values for sensors should be supplied (mapping sensors to specific areas). Also, one sensor is between -100C and +100C - maybe some kind of deactivation would help.

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  • Converting Celsius Processor Temperature to Fahrenheit

    - by WindowsEscapist
    I'm editing a Conky theme. I would like it to output the processor temperatures in degrees Fahrenheit instead of Celsius. In the ~/.conkyrc file, the command sensors | grep 'Core 0' | cut -c18-19 is used to find the temperature in Celsius for the first processor core. I want to use bc to compute this (give it outputvalue*9/5+32). Problem is, bc wants just absolute values, and I see no way to pass it program output. If I try to use something like temp=$(sensors | grep 'Core 0' | cut -c18-19) & echo 'temp*9/5+32' | bc, it ends up giving me 32 because it registers "temp" as a 0.

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  • Macbook 8.1 overheating

    - by timse201
    I have a macbook 8.1 with ubuntu 12.04 installed. But my cpu is getting very hot. On Mac my CPU is 50-60°C warm. But on ubuntu my mac is getting very hot and is by about 60°C but with min 3000rpm instead of 2000 on mac and the fan is getting very loud with 4500rpm on ubuntu when im browsing (without flash) or doing something else. i set it to 3000rpm because it is not getting so noisy instead of 2000rpm minimum. But thats not that what im expected. What ive done: i installed lm-sensors to see the temperatures and started the sensors-detect i installed macfancld, jupiter, the newest drivers from x-updates and installed the i965-va-driver oh and i installed mesa - with the default version my sandbridge was displayed as unknown i added GRUB_CMDLINE_LINUX_DEFAULT="quiet splash acpi=force drm.vblankoffdelay=1 pcie_aspm=force drm.vblankoffdelay=1 i915.semaphores=1 i915.i915_enable_rc6=1 i915.i915_enable_fbc=1" ive added rfkill block bluetooth to /etc/rc.local to switch of bluetooth by default on boot my mac is not as noisy as before but it is noisy and sometimes very hot i hope you can help me

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  • Free course on Java Embedded on the Raspberry Pi?

    - by A Tael
    Oracle is developing a free, on-line course on developing Oracle Java Embedded applications using a Raspberry Pi as the development platform. The course teaches experienced Java SE developers how to design and develop applications using Java ME Embedded 8 EA on a Raspberry Pi with physical devices, including: switches and Light Emitting Diodes (LED); temperature/barometric pressure sensors; Global Positioning System (GPS) sensors; and system interrupt timers. Additional modules include logging, threads, network I/O, file I/O, record management service, push registry, application management services and best practices for headless embedded devices.Sounds like great fun doesn't it? Read more about the course and give us your feedback in this short survey. <<Andy>>

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  • The Benefits of Smart Grid Business Software

    - by Sylvie MacKenzie, PMP
    Smart Grid Background What Are Smart Grids?Smart Grids use computer hardware and software, sensors, controls, and telecommunications equipment and services to: Link customers to information that helps them manage consumption and use electricity wisely. Enable customers to respond to utility notices in ways that help minimize the duration of overloads, bottlenecks, and outages. Provide utilities with information that helps them improve performance and control costs. What Is Driving Smart Grid Development? Environmental ImpactSmart Grid development is picking up speed because of the widespread interest in reducing the negative impact that energy use has on the environment. Smart Grids use technology to drive efficiencies in transmission, distribution, and consumption. As a result, utilities can serve customers’ power needs with fewer generating plants, fewer transmission and distribution assets,and lower overall generation. With the possible exception of wind farm sprawl, landscape preservation is one obvious benefit. And because most generation today results in greenhouse gas emissions, Smart Grids reduce air pollution and the potential for global climate change.Smart Grids also more easily accommodate the technical difficulties of integrating intermittent renewable resources like wind and solar into the grid, providing further greenhouse gas reductions. CostsThe ability to defer the cost of plant and grid expansion is a major benefit to both utilities and customers. Utilities do not need to use as many internal resources for traditional infrastructure project planning and management. Large T&D infrastructure expansion costs are not passed on to customers.Smart Grids will not eliminate capital expansion, of course. Transmission corridors to connect renewable generation with customers will require major near-term expenditures. Additionally, in the future, electricity to satisfy the needs of population growth and additional applications will exceed the capacity reductions available through the Smart Grid. At that point, expansion will resume—but with greater overall T&D efficiency based on demand response, load control, and many other Smart Grid technologies and business processes. Energy efficiency is a second area of Smart Grid cost saving of particular relevance to customers. The timely and detailed information Smart Grids provide encourages customers to limit waste, adopt energy-efficient building codes and standards, and invest in energy efficient appliances. Efficiency may or may not lower customer bills because customer efficiency savings may be offset by higher costs in generation fuels or carbon taxes. It is clear, however, that bills will be lower with efficiency than without it. Utility Operations Smart Grids can serve as the central focus of utility initiatives to improve business processes. Many utilities have long “wish lists” of projects and applications they would like to fund in order to improve customer service or ease staff’s burden of repetitious work, but they have difficulty cost-justifying the changes, especially in the short term. Adding Smart Grid benefits to the cost/benefit analysis frequently tips the scales in favor of the change and can also significantly reduce payback periods.Mobile workforce applications and asset management applications work together to deploy assets and then to maintain, repair, and replace them. Many additional benefits result—for instance, increased productivity and fuel savings from better routing. Similarly, customer portals that provide customers with near-real-time information can also encourage online payments, thus lowering billing costs. Utilities can and should include these cost and service improvements in the list of Smart Grid benefits. What Is Smart Grid Business Software? Smart Grid business software gathers data from a Smart Grid and uses it improve a utility’s business processes. Smart Grid business software also helps utilities provide relevant information to customers who can then use it to reduce their own consumption and improve their environmental profiles. Smart Grid Business Software Minimizes the Impact of Peak Demand Utilities must size their assets to accommodate their highest peak demand. The higher the peak rises above base demand: The more assets a utility must build that are used only for brief periods—an inefficient use of capital. The higher the utility’s risk profile rises given the uncertainties surrounding the time needed for permitting, building, and recouping costs. The higher the costs for utilities to purchase supply, because generators can charge more for contracts and spot supply during high-demand periods. Smart Grids enable a variety of programs that reduce peak demand, including: Time-of-use pricing and critical peak pricing—programs that charge customers more when they consume electricity during peak periods. Pilot projects indicate that these programs are successful in flattening peaks, thus ensuring better use of existing T&D and generation assets. Direct load control, which lets utilities reduce or eliminate electricity flow to customer equipment (such as air conditioners). Contracts govern the terms and conditions of these turn-offs. Indirect load control, which signals customers to reduce the use of on-premises equipment for contractually agreed-on time periods. Smart Grid business software enables utilities to impose penalties on customers who do not comply with their contracts. Smart Grids also help utilities manage peaks with existing assets by enabling: Real-time asset monitoring and control. In this application, advanced sensors safely enable dynamic capacity load limits, ensuring that all grid assets can be used to their maximum capacity during peak demand periods. Real-time asset monitoring and control applications also detect the location of excessive losses and pinpoint need for mitigation and asset replacements. As a result, utilities reduce outage risk and guard against excess capacity or “over-build”. Better peak demand analysis. As a result: Distribution planners can better size equipment (e.g. transformers) to avoid over-building. Operations engineers can identify and resolve bottlenecks and other inefficiencies that may cause or exacerbate peaks. As above, the result is a reduction in the tendency to over-build. Supply managers can more closely match procurement with delivery. As a result, they can fine-tune supply portfolios, reducing the tendency to over-contract for peak supply and reducing the need to resort to spot market purchases during high peaks. Smart Grids can help lower the cost of remaining peaks by: Standardizing interconnections for new distributed resources (such as electricity storage devices). Placing the interconnections where needed to support anticipated grid congestion. Smart Grid Business Software Lowers the Cost of Field Services By processing Smart Grid data through their business software, utilities can reduce such field costs as: Vegetation management. Smart Grids can pinpoint momentary interruptions and tree-caused outages. Spatial mash-up tools leverage GIS models of tree growth for targeted vegetation management. This reduces the cost of unnecessary tree trimming. Service vehicle fuel. Many utility service calls are “false alarms.” Checking meter status before dispatching crews prevents many unnecessary “truck rolls.” Similarly, crews use far less fuel when Smart Grid sensors can pinpoint a problem and mobile workforce applications can then route them directly to it. Smart Grid Business Software Ensures Regulatory Compliance Smart Grids can ensure compliance with private contracts and with regional, national, or international requirements by: Monitoring fulfillment of contract terms. Utilities can use one-hour interval meters to ensure that interruptible (“non-core”) customers actually reduce or eliminate deliveries as required. They can use the information to levy fines against contract violators. Monitoring regulations imposed on customers, such as maximum use during specific time periods. Using accurate time-stamped event history derived from intelligent devices distributed throughout the smart grid to monitor and report reliability statistics and risk compliance. Automating business processes and activities that ensure compliance with security and reliability measures (e.g. NERC-CIP 2-9). Grid Business Software Strengthens Utilities’ Connection to Customers While Reducing Customer Service Costs During outages, Smart Grid business software can: Identify outages more quickly. Software uses sensors to pinpoint outages and nested outage locations. They also permit utilities to ensure outage resolution at every meter location. Size outages more accurately, permitting utilities to dispatch crews that have the skills needed, in appropriate numbers. Provide updates on outage location and expected duration. This information helps call centers inform customers about the timing of service restoration. Smart Grids also facilitates display of outage maps for customer and public-service use. Smart Grids can significantly reduce the cost to: Connect and disconnect customers. Meters capable of remote disconnect can virtually eliminate the costs of field crews and vehicles previously required to change service from the old to the new residents of a metered property or disconnect customers for nonpayment. Resolve reports of voltage fluctuation. Smart Grids gather and report voltage and power quality data from meters and grid sensors, enabling utilities to pinpoint reported problems or resolve them before customers complain. Detect and resolve non-technical losses (e.g. theft). Smart Grids can identify illegal attempts to reconnect meters or to use electricity in supposedly vacant premises. They can also detect theft by comparing flows through delivery assets with billed consumption. Smart Grids also facilitate outreach to customers. By monitoring and analyzing consumption over time, utilities can: Identify customers with unusually high usage and contact them before they receive a bill. They can also suggest conservation techniques that might help to limit consumption. This can head off “high bill” complaints to the contact center. Note that such “high usage” or “additional charges apply because you are out of range” notices—frequently via text messaging—are already common among mobile phone providers. Help customers identify appropriate bill payment alternatives (budget billing, prepayment, etc.). Help customers find and reduce causes of over-consumption. There’s no waiting for bills in the mail before they even understand there is a problem. Utilities benefit not just through improved customer relations but also through limiting the size of bills from customers who might struggle to pay them. Where permitted, Smart Grids can open the doors to such new utility service offerings as: Monitoring properties. Landlords reduce costs of vacant properties when utilities notify them of unexpected energy or water consumption. Utilities can perform similar services for owners of vacation properties or the adult children of aging parents. Monitoring equipment. Power-use patterns can reveal a need for equipment maintenance. Smart Grids permit utilities to alert owners or managers to a need for maintenance or replacement. Facilitating home and small-business networks. Smart Grids can provide a gateway to equipment networks that automate control or let owners access equipment remotely. They also facilitate net metering, offering some utilities a path toward involvement in small-scale solar or wind generation. Prepayment plans that do not need special meters. Smart Grid Business Software Helps Customers Control Energy Costs There is no end to the ways Smart Grids help both small and large customers control energy costs. For instance: Multi-premises customers appreciate having all meters read on the same day so that they can more easily compare consumption at various sites. Customers in competitive regions can match their consumption profile (detailed via Smart Grid data) with specific offerings from competitive suppliers. Customers seeing inexplicable consumption patterns and power quality problems may investigate further. The result can be discovery of electrical problems that can be resolved through rewiring or maintenance—before more serious fires or accidents happen. Smart Grid Business Software Facilitates Use of Renewables Generation from wind and solar resources is a popular alternative to fossil fuel generation, which emits greenhouse gases. Wind and solar generation may also increase energy security in regions that currently import fossil fuel for use in generation. Utilities face many technical issues as they attempt to integrate intermittent resource generation into traditional grids, which traditionally handle only fully dispatchable generation. Smart Grid business software helps solves many of these issues by: Detecting sudden drops in production from renewables-generated electricity (wind and solar) and automatically triggering electricity storage and smart appliance response to compensate as needed. Supporting industry-standard distributed generation interconnection processes to reduce interconnection costs and avoid adding renewable supplies to locations already subject to grid congestion. Facilitating modeling and monitoring of locally generated supply from renewables and thus helping to maximize their use. Increasing the efficiency of “net metering” (through which utilities can use electricity generated by customers) by: Providing data for analysis. Integrating the production and consumption aspects of customer accounts. During non-peak periods, such techniques enable utilities to increase the percent of renewable generation in their supply mix. During peak periods, Smart Grid business software controls circuit reconfiguration to maximize available capacity. Conclusion Utility missions are changing. Yesterday, they focused on delivery of reasonably priced energy and water. Tomorrow, their missions will expand to encompass sustainable use and environmental improvement.Smart Grids are key to helping utilities achieve this expanded mission. But they come at a relatively high price. Utilities will need to invest heavily in new hardware, software, business process development, and staff training. Customer investments in home area networks and smart appliances will be large. Learning to change the energy and water consumption habits of a lifetime could ultimately prove even more formidable tasks.Smart Grid business software can ease the cost and difficulties inherent in a needed transition to a more flexible, reliable, responsive electricity grid. Justifying its implementation, however, requires a full understanding of the benefits it brings—benefits that can ultimately help customers, utilities, communities, and the world address global issues like energy security and climate change while minimizing costs and maximizing customer convenience. This white paper is available for download here. For further information about Oracle's Primavera Solutions for Utilities, please read our Utilities e-book.

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  • Why Ultra-Low Power Computing Will Change Everything

    - by Tori Wieldt
    The ARM TechCon keynote "Why Ultra-Low Power Computing Will Change Everything" was anything but low-powered. The speaker, Dr. Johnathan Koomey, knows his subject: he is a Consulting Professor at Stanford University, worked for more than two decades at Lawrence Berkeley National Laboratory, and has been a visiting professor at Stanford University, Yale University, and UC Berkeley's Energy and Resources Group. His current focus is creating a standard (computations per kilowatt hour) and measuring computer energy consumption over time. The trends are impressive: energy consumption has halved every 1.5 years for the last 60 years. Battery life has made roughly a 10x improvement each decade since 1960. It's these improvements that have made laptops and cell phones possible. What does the future hold? Dr. Koomey said that in the past, the race by chip manufacturers was to create the fastest computer, but the priorities have now changed. New computers are tiny, smart, connected and cheap. "You can't underestimate the importance of a shift in industry focus from raw performance to power efficiency for mobile devices," he said. There is also a confluence of trends in computing, communications, sensors, and controls. The challenge is how to reduce the power requirements for these tiny devices. Alternate sources of power that are being explored are light, heat, motion, and even blood sugar. The University of Michigan has produced a miniature sensor that harnesses solar energy and could last for years without needing to be replaced. Also, the University of Washington has created a sensor that scavenges power from existing radio and TV signals.Specific devices designed for a purpose are much more efficient than general purpose computers. With all these sensors, instead of big data, developers should focus on nano-data, personalized information that will adjust the lights in a room, a machine, a variable sign, etc.Dr. Koomey showed some examples:The Proteus Digital Health Feedback System, an ingestible sensor that transmits when a patient has taken their medicine and is powered by their stomach juices. (Gives "powered by you" a whole new meaning!) Streetline Parking Systems, that provide real-time data about available parking spaces. The information can be sent to your phone or update parking signs around the city to point to areas with available spaces. Less driving around looking for parking spaces!The BigBelly trash system that uses solar power, compacts trash, and sends a text message when it is full. This dramatically reduces the number of times a truck has to come to pick up trash, freeing up resources and slashing fuel costs. This is a classic example of the efficiency of moving "bits not atoms." But researchers are approaching the physical limits of sensors, Dr. Kommey explained. With the current rate of technology improvement, they'll reach the three-atom transistor by 2041. Once they hit that wall, it will force a revolution they way we do computing. But wait, researchers at Purdue University and the University of New South Wales are both working on a reliable one-atom transistors! Other researchers are working on "approximate computing" that will reduce computing requirements drastically. So it's unclear where the wall actually is. In the meantime, as Dr. Koomey promised, ultra-low power computing will change everything.

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  • Mind Reading with the Raspberry Pi

    - by speakjava
    Mind Reading With The Raspberry Pi At JavaOne in San Francisco I did a session entitled "Do You Like Coffee with Your Dessert? Java and the Raspberry Pi".  As part of this I showed some demonstrations of things I'd done using Java on the Raspberry Pi.  This is the first part of a series of blog entries that will cover all the different aspects of these demonstrations. A while ago I had bought a MindWave headset from Neurosky.  I was particularly interested to see how this worked as I had had the opportunity to visit Neurosky several years ago when they were still developing this technology.  At that time the 'headset' consisted of a headband (very much in the Bjorn Borg style) with a sensor attached and some wiring that clearly wasn't quite production ready.  The commercial version is very simple and easy to use: there are two sensors, one which rests on the skin of your forehead, the other is a small clip that attaches to your earlobe. Typical EEG sensors used in hospitals require lots of sensors and they all need copious amounts of conductive gel to ensure the electrical signals are picked up.  Part of Neurosky's innovation is the development of this simple dry-sensor technology.  Having put on the sensor and turned it on (it powers off a single AAA size battery) it collects data and transmits it to a USB dongle plugged into a PC, or in my case a Raspberry Pi. From a hacking perspective the USB dongle is ideal because it does not require any special drivers for any complex, low level USB communication.  Instead it appears as a simple serial device, which on the Raspberry Pi is accessed as /dev/ttyUSB0.  Neurosky have published details of the command protocol.  In addition, the MindSet protocol document, including sample code for parsing the data from the headset, can be found here. To get everything working on the Raspberry Pi using Java the first thing was to get serial communications going.  Back in the dim distant past there was the Java Comm API.  Sadly this has grown a bit dusty over the years, but there is a more modern open source project that provides compatible and enhanced functionality, RXTXComm.  This can be installed easily on the Pi using sudo apt-get install librxtx-java.  Next I wrote a library that would send commands to the MindWave headset via the serial port dongle and read back data being sent from the headset.  The design is pretty simple, I used an event based system so that code using the library could register listeners for different types of events from the headset.  You can download a complete NetBeans project for this here.  This includes javadoc API documentation that should make it obvious how to use it (incidentally, this will work on platforms other than Linux.  I've tested it on Windows without any issues, just by changing the device name to something like COM4). To test this I wrote a simple application that would connect to the headset and then print the attention and meditation values as they were received from the headset.  Again, you can download the NetBeans project for that here. Oracle recently released a developer preview of JavaFX on ARM which will run on the Raspberry Pi.  I thought it would be cool to write a graphical front end for the MindWave data that could take advantage of the built in charts of JavaFX.  Yet another NetBeans project is available here.  Screen shots of the app, which uses a very nice dial from the JFxtras project, are shown below. I probably should add labels for the EEG data so the user knows which is the low alpha, mid gamma waves and so on.  Given that I'm not a neurologist I suspect that it won't increase my understanding of what the (rather random looking) traces mean. In the next blog I'll explain how I connected a LEGO motor to the GPIO pins on the Raspberry Pi and then used my mind to control the motor!

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  • Thread implemented as a Singleton

    - by rocknroll
    Hi all, I have a commercial application made with C,C++/Qt on Linux platform. The app collects data from different sensors and displays them on GUI. Each of the protocol for interfacing with sensors is implemented using singleton pattern and threads from Qt QThreads class. All the protocols except one work fine. Each protocol's run function for thread has following structure: void <ProtocolClassName>::run() { while(!mStop) //check whether screen is closed or not { mutex.lock() while(!waitcondition.wait(&mutex,5)) { if(mStop) return; } //Code for receiving and processing incoming data mutex.unlock(); } //end while } Hierarchy of GUI. 1.Login screen. 2. Screen of action. When a user logs in from login screen, we enter the action screen where all data is displayed and all the thread's for different sensors start. They wait on mStop variable in idle time and when data arrives they jump to receiving and processing data. Incoming data for the problem protocol is 117 bytes. In the main GUI threads there are timers which when timeout, grab the running instance of protocol using <ProtocolName>::instance() function Check the update variable of singleton class if its true and display the data. When the data display is done they reset the update variable in singleton class to false. The problematic protocol has the update time of 1 sec, which is also the frame rate of protocol. When I comment out the display function it runs fine. But when display is activated the application hangs consistently after 6-7 hours. I have asked this question on many forums but haven't received any worthwhile suggestions. I Hope that here I will get some help. Also, I have read a lot of literature on Singleton, multithreading, and found that people always discourage the use of singletons especially in C++. But in my application I can think of no other design for implementation. Thanks in advance A Hapless programmer

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