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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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  • Adobe Plugin in Firefox showing grey screen; something to do with range requests on Apache?

    - by Sam Minnée
    I have a web page with a link to a PDF file (target="_blank"). If I click the link, the PDF reader just shows a grey screen within the Firefox browser. If I copy that link and manually open it in a new tab, the PDF will display correctly, and subsequent requests made by clicking the original link now work, suggesting that the problem occurs when loading the file into the cache. It appears as though the Adobe PDF reader plugin is making byte-range requests (I see lots of 206 responses) and I suspect that this may be the cause of the issue. I am running an Apache webserver. Has anyone had problems with Apache and Adobe's byte-range requests? Are there any workarounds?

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  • PHP GD Text Transparency..

    - by Deagle
    Hello, I can't slove this. I'm trying to make a text transparency but doesn't work.. Here how it looks: qshort.com/userbar/gd.php Here how if possible to show with transparency: qshort.com/userbar/transparent.png Is that possible? Here my PHP Code: <?php header('Content-type: image/png'); $im = imagecreatefrompng("signature.png"); $white = imagecolorallocate($im, 255, 255, 255); $grey = imagecolorallocate($im, 114, 114, 114); $black = imagecolorallocate($im, 0, 0, 0); $tr = imagecolorallocatealpha($im, 255, 255, 255, 20); $trg = imagecolorallocatealpha($im, 114, 114, 114, 50); $font = 'TCCB.TTF'; $mtext="Money: $0"; $mx="261"; $my="80"; $ms="16"; imagettftext($im, $ms, 0, $mx+1, $my, $grey, $font, $mtext); imagettftext($im, $ms, 0, $mx-1, $my, $grey, $font, $mtext); imagettftext($im, $ms, 0, $mx, $my+1, $grey, $font, $mtext); imagettftext($im, $ms, 0, $mx, $my-1, $grey, $font, $mtext); imagettftext($im, $ms, 0, $mx, $my, $white, $font, $mtext); $atext="Score: 0"; $ax="261"; $ay="100"; $as="16"; imagettftext($im, $as, 0, $ax+1, $ay, $grey, $font, $atext); imagettftext($im, $as, 0, $ax-1, $ay, $grey, $font, $atext); imagettftext($im, $as, 0, $ax, $ay+1, $grey, $font, $atext); imagettftext($im, $as, 0, $ax, $ay-1, $grey, $font, $atext); imagettftext($im, $as, 0, $ax, $ay, $white, $font, $atext); $ctext="Properties: 0"; $cx="261"; $cy="120"; $cs="16"; imagettftext($im, $cs, 0, $cx+1, $cy, $grey, $font, $ctext); imagettftext($im, $cs, 0, $cx-1, $cy, $grey, $font, $ctext); imagettftext($im, $cs, 0, $cx, $cy+1, $grey, $font, $ctext); imagettftext($im, $cs, 0, $cx, $cy-1, $grey, $font, $ctext); imagettftext($im, $cs, 0, $cx, $cy, $white, $font, $ctext); $ntext="Nickname"; $nx="20"; $ny="45"; $ns="35"; imagettftext($im, $ns, 0, $nx+1, $ny, $trg, $font, $ntext); imagettftext($im, $ns, 0, $nx-1, $ny, $trg, $font, $ntext); imagettftext($im, $ns, 0, $nx, $ny+1, $trg, $font, $ntext); imagettftext($im, $ns, 0, $nx, $ny-1, $trg, $font, $ntext); imagettftext($im, $ns, 0, $nx, $ny, $tr, $font, $ntext); imagepng($im); imagedestroy($im); ?> Thanks, Waiting for answer.

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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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  • Why the toolbar button icon is grey at runtime?

    - by OhrmaZd
    I"m setting the icon of a toolbar button (using Infragistics component library for the toolbar), The problem is that on design time the icon is showing normally. But at runtime the icon become greyed, though the drawing of the icon is still apparent, but its colors are all lost and the shape of the icon image is grey. So i'm wondering if it's colour related bug, or I need to tweek something in VS, or it is a bug in the library i'm using i.e. Infragistics. So anyone faced that problem before and fixed it?

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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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  • R scatterplot overplotting color

    - by rgeekay
    So far I have this: qplot(df[[1]], as.numeric(rownames(df)), group=df[[2]], color=df[[2]], ylab="") I want to use different colors for the points in the 2 groups - perhaps a lighter shade for the what's in black now and a darker - say, red for what's in blue. Also, I want to use hexbin kind of thing for group=0 but not for group=1. I'm not able to get the syntax to get this working. In the current plot 0 is in black and 1 is in blue. Added: I worked on it some more, and by using factor and scale_colour_manual, I got the grey color for 0 and red for 1: > palette1 [1] "grey" "red" "blue" "violet" "black" fy=factor(y, labels=c('grey', 'red')) qplot(x, seq(1:length(x)),col=fy, ylab="") + geom_point() + scale_colour_manual(values=palette1) Pending questions are: How to first plot all the grey and then red on top (some of the red is now hidden because the grey is plotted over). How to apply the hexbin logic for group0 i.e. the grey points only and not for the red.

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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 can I locate empty space next to polygon regions?

    - by Stephen
    Let's say I have the following area in a top-down map: The circle is the player, the black square is an obstacle, and the grey polygons with red borders are walk-able areas that will be used as a navigation mesh for enemies. Obstacles and grey polygons are always convex. The grey regions were defined using an algorithm when the world was generated at runtime. Notice the little white column. I need to figure out where any empty space like this is, if at all, after the algorithm builds the grey regions, so that I can fill the space with another region. Basically what I'm hoping for is an algorithm that can detect empty space next to a polygon.

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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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  • Python Imaging: YCbCr problems

    - by daver
    Hi, I'm doing some image processing in Python using PIL, I need to extract the luminance layer from a series of images, and do some processing on that using numpy, then put the edited luminance layer back into the image and save it. The problem is, I can't seem to get any meaningful representation of my Image in a YCbCr format, or at least I don't understand what PIL is giving me in YCbCr. PIL documentation claims YCbCr format gives three channels, but when I grab the data out of the image using np.asarray, I get 4 channels. Ok, so I figure one must be alpha. Here is some code I'm using to test this process: import Image as im import numpy as np pengIm = im.open("Data\\Test\\Penguins.bmp") yIm = pengIm.convert("YCbCr") testIm = np.asarray(yIm) grey = testIm[:,:,0] grey = grey.astype('uint8') greyIm = im.fromarray(grey, "L") greyIm.save("Data\\Test\\grey.bmp") I'm expecting a greyscale version of my image, but what I get is this jumbled up mess: http://i.imgur.com/zlhIh.png Can anybody explain to me where I'm going wrong? The same code in matlab works exactly as I expect.

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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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  • How do I restore default menu/top panel text color in Gnome Classic?

    - by Kobby
    The default text/icon color in my top panel has changed from white to a very dark grey, making my menus virtually unreadable against the black of the Ambiance theme. This includes even the login screen menu. I used Gnome Tweak to change the theme to Adwaita, but while some text has gone light grey (e.g. Date/Time), the login menu text remains dark grey, as do most icons (e.g. dropbox, wireless, battery indicator...) in the top panel after I log in. I tried deleting the top panel altogether but the option of deleting under Super + Alt + Right Click is blocked off. I tried running a panel from the terminal, but it came up in strange colors too, plus icons had moved around and some parts of the panel were opaque and other parts transparent. Deleting the panel wouldn't solve the basic problem anyway, as my login menu would still be very dark grey and unreadable against the default (black) Ambiance background. I would like to keep Ambiance but I want to reset the color to default (white) again. Can anyone help me?

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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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  • Ongoing confusion about ivars and properties in objective C

    - by Earl Grey
    After almost 8 months being in ios programming, I am again confused about the right approach. Maybe it is not the language but some OOP principle I am confused about. I don't know.. I was trying C# a few years back. There were fields (private variables, private data in an object), there were getters and setters (methods which exposed something to the world) ,and properties which was THE exposed thing. I liked the elegance of the solution, for example there could be a class that would have a property called DailyRevenue...a float...but there was no private variable called dailyRevenue, there was only a field - an array of single transaction revenues...and the getter for DailyRevenue property calculated the revenue transparently. If somehow the internals of daily revenue calculation would change, it would not affect somebody who consumed my DailyRevenue property in any way, since he would be shielded from getter implementation. I understood that sometimes there was , and sometimes there wasn't a 1-1 relationship between fields and properties. depending on the requirements. It seemed ok in my opinion. And that properties are THE way to acces the data in object. I know the difference betweeen private, protected, and public keyword. Now lets get to objectiveC. On what factor should I base my decision about making someting only an ivar or making it as a property? Is the mental model the same as I describe above? I know that ivars are "protected" by default, not "private" asi in c#..But thats ok I think, no big deal for my presnet level of understanding the whole ios development. The point is ivars are not accesible from outside (given i don't make them public..but i won't). The thing that clouds my clear understanding is that I can have IBOutlets from ivars. Why am I seeing internal object data in the UI? *Why is it ok?* On the other hand, if I make an IBOutlet from property, and I do not make it readonly, anybody can change it. Is this ok too? Let's say I have a ParseManager object. This object would use a built in Foundation framework class called NSXMLParser. Obviously my ParseManager will utilize this nsxmlparser's capabilities but will also do some additional work. Now my question is, who should initialize this NSXMLParser object and in which way should I make a reference to it from the ParseManager object, when there is a need to parse something. A) the ParseManager -1) in its default init method (possible here ivar - or - ivar+ppty) -2) with lazyloading in getter (required a ppty here) B) Some other object - who will pass a reference to NSXMLParser object to the ParseManager object. -1) in some custom initializer (initWithParser:(NSXMLPArser *) parser) when creating the ParseManager object.. A1 - the problem is, we create a parser and waste memory while it is not yet needed. However, we can be sure that all methods that are part ot ParserManager object, can use the ivar safely, since it exists. A2 - the problem is, the nsxmlparser is exposed to outside world, although it could be read only. Would we want a parser to be exposed in some scenario? B1 - this could maybe be useful when we would want to use more types of parsers..i dont know... I understand that architectural requirements and and language is not the same. But clearly the two are in relation. How to get out of that mess of my? Please bear with me, I wasn't able to come up with a single ultimate question. And secondly, it's better to not scare me with some superadvanced newspeak that talks about some crazy internals (what the compiler does) and edge cases.

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