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  • How do I construct a 3D model of a room from 2 stereo cameras? What is the determining factor to an

    - by yasumi
    Currently, I have extracted depth points to construct a 3D model from 2 stereo cameras. The methods I have used are openCV graphCut method and a software from http://sourceforge.net/projects/reconststereo/. However, the generated 3D models are not very accurate, which leads me to question: 1) What is the problem with pixel-based method? 2) Should I change my pixel-based method to feature-based or object-recognition-based method? Is there a best method? 3) Are there any other ways to do such reconstruction? Additionally, the depth extracted comes only from 2 images. What if I am turning the camera 360 degrees to obtain a video? Looking forward to suggestion on how to combine this depth information. Thank you very much :)

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  • Built-in network card not working?

    - by Zeeshan
    Hi, I am new to Ubuntu. I have installed Ubuntu 9.04(Jaunty). After installation I found that network card is not wokring. And id doest not list in "System Preferenes Network Connections" So , i got another card from my friend and try to search on internat about my problem but still cant find solution. Some commands output is here which may be help to solve problem root@mzeeshan-desktop:/home/mzeeshan# uname -r 2.6.28-11-generic root@mzeeshan-desktop:/home/mzeeshan# ifconfig -a eth0 Link encap:Ethernet HWaddr 00:02:44:4a:45:12 inet addr:192.168.5.37 Bcast:192.168.5.255 Mask:255.255.255.0 inet6 addr: fe80::202:44ff:fe4a:4512/64 Scope:Link UP BROADCAST RUNNING MULTICAST MTU:1500 Metric:1 RX packets:3774 errors:0 dropped:0 overruns:0 frame:0 TX packets:3611 errors:0 dropped:0 overruns:0 carrier:0 collisions:0 txqueuelen:1000 RX bytes:4307045 (4.3 MB) TX bytes:583067 (583.0 KB) Interrupt:22 Base address:0x1000 lo Link encap:Local Loopback inet addr:127.0.0.1 Mask:255.0.0.0 inet6 addr: ::1/128 Scope:Host UP LOOPBACK RUNNING MTU:16436 Metric:1 RX packets:4 errors:0 dropped:0 overruns:0 frame:0 TX packets:4 errors:0 dropped:0 overruns:0 carrier:0 collisions:0 txqueuelen:0 RX bytes:240 (240.0 B) TX bytes:240 (240.0 B) pan0 Link encap:Ethernet HWaddr 5e:25:17:a1:18:ac BROADCAST MULTICAST MTU:1500 Metric:1 RX packets:0 errors:0 dropped:0 overruns:0 frame:0 TX packets:0 errors:0 dropped:0 overruns:0 carrier:0 collisions:0 txqueuelen:0 RX bytes:0 (0.0 B) TX bytes:0 (0.0 B) root@mzeeshan-desktop:/home/mzeeshan# lspci 00:00.0 Host bridge: Intel Corporation Device 0069 (rev 12) 00:01.0 PCI bridge: Intel Corporation Auburndale/Havendale PCI Express x16 Root Port (rev 12) 00:19.0 Ethernet controller: Intel Corporation Device 10f0 (rev 05) 00:1a.0 USB Controller: Intel Corporation Ibex Peak USB2 Enhanced Host Controller (rev 05) 00:1c.0 PCI bridge: Intel Corporation Ibex Peak PCI Express Root Port 1 (rev 05) 00:1c.4 PCI bridge: Intel Corporation Ibex Peak PCI Express Root Port 5 (rev 05) 00:1c.6 PCI bridge: Intel Corporation Ibex Peak PCI Express Root Port 7 (rev 05) 00:1c.7 PCI bridge: Intel Corporation Ibex Peak PCI Express Root Port 8 (rev 05) 00:1d.0 USB Controller: Intel Corporation Ibex Peak USB2 Enhanced Host Controller (rev 05) 00:1e.0 PCI bridge: Intel Corporation 82801 PCI Bridge (rev a5) 00:1f.0 ISA bridge: Intel Corporation Ibex Peak LPC Interface Controller (rev 05) 00:1f.2 IDE interface: Intel Corporation Ibex Peak 4 port SATA IDE Controller (rev 05) 00:1f.3 SMBus: Intel Corporation Ibex Peak SMBus Controller (rev 05) 00:1f.5 IDE interface: Intel Corporation Ibex Peak 2 port SATA IDE Controller (rev 05) 01:00.0 VGA compatible controller: nVidia Corporation GeForce 8400 GS (rev a1) 06:00.0 Multimedia audio controller: Creative Labs SB Live! EMU10k1 (rev 07) 06:00.1 Input device controller: Creative Labs SB Live! Game Port (rev 07) 06:01.0 Ethernet controller: Realtek Semiconductor Co., Ltd. RTL-8139/8139C/8139C+ (rev 10) 06:03.0 FireWire (IEEE 1394): Texas Instruments TSB43AB22/A IEEE-1394a-2000 Controller (PHY/Link) root@mzeeshan-desktop:/home/mzeeshan# Motherboard is Intel DP55WG. I don't know what to do next. Any help will be greatly appreciated.. Thanks

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  • Should a sysadmin contractor charge overtime for off-peak hours?

    - by Jakobud
    This is not necessarily a server-related question, but more of a system admin question that I think would related to many on SF. I'm doing Sysadmin/IT consulting for a small company. I only work about 3 days a week for them on average. If a server goes down or something like that during off hours (nights, weekends, 3am, etc) and they need it fixed during those time periods, should I be charging overtime for that? I would I not be justified in charging overtime until I've logged 40 hours for the week? Perhaps calling it overtime isn't the best name. I guess maybe its better to call it an off-peak hourly rate. Anyways I just was curious what other consultants did in these circumstances.

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  • Haskell: "how much" of a type should functions receive? and avoiding complete "reconstruction"

    - by L01man
    I've got these data types: data PointPlus = PointPlus { coords :: Point , velocity :: Vector } deriving (Eq) data BodyGeo = BodyGeo { pointPlus :: PointPlus , size :: Point } deriving (Eq) data Body = Body { geo :: BodyGeo , pict :: Color } deriving (Eq) It's the base datatype for characters, enemies, objects, etc. in my game (well, I just have two rectangles as the player and the ground right now :p). When a key, the characters moves right, left or jumps by changing its velocity. Moving is done by adding the velocity to the coords. Currently, it's written as follows: move (PointPlus (x, y) (xi, yi)) = PointPlus (x + xi, y + yi) (xi, yi) I'm just taking the PointPlus part of my Body and not the entire Body, otherwise it would be: move (Body (BodyGeo (PointPlus (x, y) (xi, yi)) wh) col) = (Body (BodyGeo (PointPlus (x + xi, y + yi) (xi, yi)) wh) col) Is the first version of move better? Anyway, if move only changes PointPlus, there must be another function that calls it inside a new Body. I explain: there's a function update which is called to update the game state; it is passed the current game state, a single Body for now, and returns the updated Body. update (Body (BodyGeo (PointPlus xy (xi, yi)) wh) pict) = (Body (BodyGeo (move (PointPlus xy (xi, yi))) wh) pict) That tickles me. Everything is kept the same within Body except the PointPlus. Is there a way to avoid this complete "reconstruction" by hand? Like in: update body = backInBody $ move $ pointPlus body Without having to define backInBody, of course.

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  • What is the peak theoretical WiFi G user density? [closed]

    - by Bigbio2002
    I've seen a few WiFi capacity planning questions, and this one is related, but hopefully different enough not to be closed. Also, this is related specifically to 802.11g, but a similar question could be made for N. In order to squeeze more WiFi users into a space, the transmit power on the APs need to be reduced and the APs squeezed closer together. My question is, how far can you practically take this before the network becomes unusable? There will come a point where the transmit power is so weak that nobody will actually be able to pick up a connection, or be constantly roaming to/from APs spaced a few feet apart as they walk around. There are also only 3 available channels to use as well, which is a factor to consider. After determining the peak AP density, then multiply by users-per-AP, which should be easier to find out. After factoring all of this in and running some back-of-the-envelope calculations, I'd like to be able to get a figure of "XX users per 10ft^2" or something. This can be considered the physical limit of WiFi, and will keep people from asking about getting 3,000 people in a ballroom conference on WiFi. Can anyone with WiFi experience chime in, or better yet, provide some calculations for a more accurate figure? Assumptions: Let's assume an ideal environment with no reflection (think of a big, square, open room, with the APs spaced out on a plane), APs are placed on the ceiling so humans won't absorb the waves, and the only interference are from the APs themselves and the devices. As for what devices specifically, that's irrelevant for the first point of the question (AP density, so only channel and transmit power should matter). User experience: Wikipedia states that Wireless G has about 22Mbps maximum effective throughput, or about 2.75MB/s. For the purpose of this question, anything below 100KB/s per user can be deemed to be a poor user experience. As for roaming, I'll assume the user is standing in the same place, so hopefully that will be a non-issue.

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  • Weird noise coming out on Windows 7 when harddisk activity at peak?

    - by Curious Apprentice
    I'm having a very strange problem. I'm hearing a "choooooooooo kkkrrr" sound (Its not like the normal sound speakers make when powered on) all the time. When there is more Hard Disk r/w activity the sound increases and as HDD r/w activity slows down so the sound. I have two other OS installed on my system. I have tested, it only happens when I'm on Windows 7. I have no clue what the hell is happening !? Any help would be greatly appreciated. Here's the sample of noise: http://www.ziddu.com/download/20852917/noise.mp3.html

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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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  • What is the best way to store anciliary data with a 2D timeseries object in R?

    - by Mike52
    I currently try to move from matlab to R. I have 2D measurements, consisting of irradiance in time and wavelength together with quality flags and uncertainty and error estimates. In Matlab I extended the timeseries object to store both the wavelength array and the auxiliary data. What is the best way in R to store this data? Ideally I would like this data to be stored together such that e.g. window(...) keeps all data synchronized.

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  • What is my peak total memory usage? How much of my RAM is actually being actively used?

    - by William C
    Hi, Is there an app or utility in Windows that shows me the peak value of in-use memory (i.e., the total of the shareable and private memory of processes, drivers and the operating system) (not standby nor free)? I've got lots of memory and I'm installing an in-memory file cache, called "eBoostr", and would like an idea how much memory to allocate for it and still avoid deteriorating page faults. Essentially, I want the answer to the question, "How much of my RAM is actually being actively used?" W

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  • How to avoid web server traffic peak resulting from iOS Newsstand app receiving a remote notification?

    - by thomers
    I'm developing an iOS Newsstand app. If it is suspended or not running and connected to a WLAN, Newsstand apps can be triggered by a Push remote notification to download the latest issue (in our case around 100MB) in the background. I'm using Urban Airship for the delivery of the Push broadcast. I'm now worrying about many many iOS devices hitting the web server for one big download more or less at the same time, because I expect the majority of the devices will receive the notification in a very short timeframe. Instead of broadcasts to all devices, should I rather send individual notifications to batches of small groups of devices, spreading them out over a longer period of time? And/or would a CDN like Amazon Cloudfront solve that issue easier/anyway?

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  • VB FFT - stuck understanding relationship of results to frequency

    - by WaveyDavey
    Trying to understand an fft (Fast Fourier Transform) routine I'm using (stealing)(recycling) Input is an array of 512 data points which are a sample waveform. Test data is generated into this array. fft transforms this array into frequency domain. Trying to understand relationship between freq, period, sample rate and position in fft array. I'll illustrate with examples: ======================================== Sample rate is 1000 samples/s. Generate a set of samples at 10Hz. Input array has peak values at arr(28), arr(128), arr(228) ... period = 100 sample points peak value in fft array is at index 6 (excluding a huge value at 0) ======================================== Sample rate is 8000 samples/s Generate set of samples at 440Hz Input array peak values include arr(7), arr(25), arr(43), arr(61) ... period = 18 sample points peak value in fft array is at index 29 (excluding a huge value at 0) ======================================== How do I relate the index of the peak in the fft array to frequency ?

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  • iPhone metering problems

    - by Eric Christensen
    When I'm recording an AVAudioRecorder object, I repeat a chunk of code via an NSTimer that includes: [soundrecording updateMeters]; NSLog(@"channel 0 average:%f, peak:%f",[soundrecording averagePowerForChannel:0],[soundrecording peakPowerForChannel:0]); NSLog(@"channel 1 average:%f, peak:%f",[soundrecording averagePowerForChannel:1],[soundrecording peakPowerForChannel:1]); When I'm recording a mono file, the peak power for channel 0 is just what you'd expect, a float from -160 to 0. But average power for channel 0 is always zero. (And, of course, the values for channel 1 are both zero.) When I'm recording a stereo file, both the average and peak values for both channels are as expected. Any thoughts on why, when recording a mono file, the average value for channel 0 isn't returning correctly, even though the peak is? Thanks!

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  • How to print an isosceles triangle

    - by Steve
    Hello, I'm trying to learn programming by myself, I'm working from a book that has the following problem which I can't solve: Allow the user to input two values: a character to be used for printing an isosceles triangle and the size of the peak for the triangle. For example, if the user inputs # for the character and 6 for the peak, you should produce the following display: # ## ### #### ##### ###### ##### #### ### ## # This is the code I've got so far: char character; int peak; InputValues(out character, out peak); for (int row = 1; row < peak * 2; row++) { for (int col = 1; col <= row; col++) { Console.Write(character); } Console.WriteLine(); } Console.Read() // hold console open Thanks in advance.

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  • Removing surrounding noises from voice recording

    - by Peak Reconstruction Wavelength
    I have a wave file whose frequency spectrum looks like this. http://i.stack.imgur.com/2rRaS.png It contains audio, which I want to keep while removing the rest. The problem is that the surround noise changes, just those distinct voice patterns remain. I marked the voice patterns for clarity: http://i.stack.imgur.com/eLkBl.png What could an algorithm look like / a workflow in adobe audition look like that removes everything but the voice patterns? I think that the main characteristic is the line-shaped form over time. Loudness alone is not enough as the noise is loud aswell.

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  • Other solution instead of Cursoring

    - by dewacorp.alliances
    Hi there I have the following pivoting table that I manage to do and here's the result and I want to put a bit further. **NTRITCode; NTRIId; Parameter; Usage; Rate** CURRENT; 4; Peak; 100; 0.1 CURRENT; 4; NonPeak; 200; 0.2 PROPOSED; 6; Peak; 100; 0.2 PROPOSED; 6; NonPeak; 200; 0.3 PROPOSED; 8; Peak; 200; 0.3 PROPOSED; 8; NonPeak; 200; 0.5 As you can see there is 2 sets of proposed (ID=6 and 8). I want somehow display like this below so each set has a pair of CURRENT as well as the PROPOSED one as follow: **Sequence; NTRITCode; NTRIId; Parameter; Usage; Rate** 1; CURRENT; 4; Peak; 100; 0.1 1; CURRENT; 4; NonPeak; 200; 0.2 1; PROPOSED; 6; Peak; 100; 0.2 1; PROPOSED; 6; NonPeak; 200; 0.3 2; CURRENT; 4; Peak; 100; 0.1 2; CURRENT; 4; NonPeak; 200; 0.2 2; PROPOSED; 8; Peak; 200; 0.3 2; PROPOSED; 8; NonPeak; 200; 0.5 Again all I can think off is using combination of CURSOR and UNION but is there any TSQL that can do this? Thanks

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  • Fresh Voices

    - by Paul Nielsen
    The PASS Summit 2010 Call for Speakers is closed. When the call went out I offered to review abstracts for anyone interested, which gave a peak into the content of the next PASS, albeit a skewed peak, but what I did see was encouraging. In all I reviewed about 50 abstracts (several of these I found on my junk folder, so I apologize to any that I didn’t see.) The abstracts I reviewed had a mix of new topics and core technologies from new speakers, regulars, and a few MVPs. The observation that stood...(read more)

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  • How can I debug Cisco Firewall ASA "Dispatch Unit" very high CPU utilisation from ASDM?

    - by Andy
    I have recently had my first firewall installed so I am very new to this whole situation. I am finding that Dispatch unit is becoming overloaded and it would appear to be the reason I get serious bouts of lag on my server. The firewall has had little configuration apart from me blocking all the ports in "Access Rules" and allowing only the ones the server needs and from where it needs them. I guess what I am after is assistance with locating the issues causing "Dispatch Unit" to take up all the CPU Regards --Edit-- With ASDM statistics I found that packets inbound (peak of 70-100k/sec from <1k/sec normal), traffic inbound (peak of 40-50kbits/sec from <1kbits/sec normal) and CPU all peak at the same time so I am pretty sure it is an attack of some sort but as a beginner with ASA I am not sure how to resolve

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  • Election 2012: Twitter Breaks Records with MySQL

    - by Bertrand Matthelié
    Twitter VP of Infrastructure Operations Engineering Mazen Rawashdeh shared news and numbers yesterday on his blog: "Last night, the world tuned in to Twitter to share the election results as U.S. voters chose a president and settled many other campaigns. Throughout the day, people sent more than 31 million election-related Tweets (which contained certain key terms and relevant hashtags). And as results rolled in, we tracked the surge in election-related Tweets at 327,452 Tweets per minute (TPM). These numbers reflect the largest election-related Twitter conversation during our 6 years of existence, though they don’t capture the total volume of all Tweets yesterday." "Last night, Twitter averaged about 9,965 TPS from 8:11pm to 9:11pm PT, with a one-second peak of 15,107 TPS at 8:20pm PT and a one-minute peak of 874,560 TPM. Seeing a sustained peak over the course of an entire event is a change from the way people have previously turned to Twitter during live events. Now, rather than brief spikes, we are seeing sustained peaks for hours." Congrats to Jeremy Cole, Davi Arnaut and the rest of the team at Twitter for their excellent work! Jeremy recently held a keynote presentation at MySQL Connect describing how MySQL powers Twitter, and why they chose and continue to rely on MySQL for their operations. You can watch the presentation here. He also went into more details during another presentation later that day and you can access the slides here. Below a couple of tweets from Jeremy after what have surely been hectic days...  Keep up the good work guys!

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