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  • RPi and Java Embedded GPIO: Hooking Up Your Wires for Java

    - by hinkmond
    So, you bought your blue jumper wires, your LEDs, your resistors, your breadboard, and your fill of Fry's for the day. How do you hook this cool stuff up to write Java code to blink them LEDs? I'll step you through it. First look at that pinout diagram of the GPIO header that's on your RPi. Find the pins in the corner of your RPi board and make sure to orient it the right way. The upper left corner pin should have the characters "P1" next to it on the board. That pin next to "P1" is your Pin #1 (in the diagram). Then, you can start counting left, right, next row, left, right, next row, left, right, and so on: Pins # 1, 2, next row, 3, 4, next row, 5, 6, and so on. Take one blue jumper wire and connect to Pin # 3 (GPIO0). Connect the other end to a resistor and then the other end of the resistor into the breadboard. Each row of grouped-together holes on a breadboard are connected, so plug in the short-end of a common cathode LED (long-end of a common anode LED) into a hole that is in the same grouping as where the resistor is plugged in. Then, connect the other end of the LED back to Pin # 6 (GND) on the RPi GPIO header. Now you have your first LED connected ready for you to write some Java code to turn it on and off. (As, extra credit you can connect 7 other LEDs the same way to with one lead to Pins # 5, 7, 11, 13, 15, 19 & 21). Whew! That wasn't so bad, was it? Next blog post on this thread will have some Java source code for you to try... Hinkmond

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  • Pragmas and exceptions

    - by Darryl Gove
    The compiler pragmas: #pragma no_side_effect(routinename) #pragma does_not_write_global_data(routinename) #pragma does_not_read_global_data(routinename) are used to tell the compiler more about the routine being called, and enable it to do a better job of optimising around the routine. If a routine does not read global data, then global data does not need to be stored to memory before the call to the routine. If the routine does not write global data, then global data does not need to be reloaded after the call. The no side effect directive indicates that the routine does no I/O, does not read or write global data, and the result only depends on the input. However, these pragmas should not be used on routines that throw exceptions. The following example indicates the problem: #include <iostream extern "C" { int exceptional(int); #pragma no_side_effect(exceptional) } int exceptional(int a) { if (a==7) { throw 7; } else { return a+1; } } int a; int c=0; class myclass { public: int routine(); }; int myclass::routine() { for(a=0; a<1000; a++) { c=exceptional(c); } return 0; } int main() { myclass f; try { f.routine(); } catch(...) { std::cout << "Something happened" << a << c << std::endl; } } The routine "exceptional" is declared as having no side effects, however it can throw an exception. The no side effects directive enables the compiler to avoid storing global data back to memory, and retrieving it after the function call, so the loop containing the call to exceptional is quite tight: $ CC -O -S test.cpp ... .L77000061: /* 0x0014 38 */ call exceptional ! params = %o0 ! Result = %o0 /* 0x0018 36 */ add %i1,1,%i1 /* 0x001c */ cmp %i1,999 /* 0x0020 */ ble,pt %icc,.L77000061 /* 0x0024 */ nop However, when the program is run the result is incorrect: $ CC -O t.cpp $ ./a.out Something happend00 If the code had worked correctly, the output would have been "Something happened77" - the exception occurs on the seventh iteration. Yet, the current code produces a message that uses the original values for the variables 'a' and 'c'. The problem is that the exception handler reads global data, and due to the no side effects directive the compiler has not updated the global data before the function call. So these pragmas should not be used on routines that have the potential to throw exceptions.

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  • Integrating a Progress Bar into a Wizard

    - by Geertjan
    Normally, when you create a wizard, as described here, and you have your own iterator, you'll have a class signature like this: public final class MyWizardWizardIterator implements WizardDescriptor.InstantiatingIterator<WizardDescriptor> { Let's now imagine that you've got some kind of long running process your wizard needs to perform. Maybe the wizard needs to connect to something, which could take some time. Start by adding a new dependency on the Progress API, which gives you the classes that access the NetBeans Platform's progress functionality. Now all we need to do is change the class signature very slightly: public final class MyWizardWizardIterator implements WizardDescriptor.ProgressInstantiatingIterator<WizardDescriptor> { Take a look at the part of the signature above that is highlighted. I.e., use WizardDescriptor.ProgressInstantiatingIterator instead of WizardDescriptor.InstantiatingIterator. Now you will need to implement a new instantiate method, one that receives a ProgressHandle. The other instantiate method, i.e., the one that already existed, should never be accessed anymore, and so you can add an assert to that effect: @Override public Set<?> instantiate() throws IOException {     throw new AssertionError("instantiate(ProgressHandle) " //NOI18N             + "should have been called"); //NOI18N } @Override public Set instantiate(ProgressHandle ph) throws IOException {     return Collections.emptySet(); } OK. Let's now add some code to make our progress bar work: @Override public Set instantiate(ProgressHandle ph) throws IOException {     ph.start();     ph.progress("Processing...");     try {         //Simulate some long process:         Thread.sleep(2500);     } catch (InterruptedException ex) {         Exceptions.printStackTrace(ex);     }     ph.finish();     return Collections.emptySet(); } And, maybe even more impressive, you can also do this: @Override public Set instantiate(ProgressHandle ph) throws IOException {     ph.start(1000);     ph.progress("Processing...");     try {         //Simulate some long process:         ph.progress("1/4 complete...", 250);         Thread.sleep(2500);         ph.progress("1/2 complete...", 500);         Thread.sleep(5000);         ph.progress("3/4 complete...", 750);         Thread.sleep(7500);         ph.progress("Complete...", 1000);         Thread.sleep(1000);     } catch (InterruptedException ex) {         Exceptions.printStackTrace(ex);     }     ph.finish();     return Collections.emptySet(); } The screenshots above show you what you should see when the Finish button is clicked in each case.

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  • Great Java EE Concurrency Write-up!

    - by reza_rahman
    As you are aware JSR-236, Concurrency Utilities for the Java EE platform, is now a candidate for addition into Java EE 7. While it is a critical enabling API it is not necessarily obvious why it is so important. This is especially true with existing features like EJB 3 @Asynchronous, Servlet 3 async and JAX-RS 2 async. On his blog DZone MVB Sander Mak does an excellent job of explaining the motivation and importance of JSR-236. Perhaps even more importantly, he discusses potential issues with the API such alignment with CDI and Java SE Fork/Join. Read the excellent write-up here!

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  • JAX-RS 2.0, JTA 1.1, JMS 2.0 Replay: Java EE 7 Launch Webinar Technical Breakouts on YouTube

    - by John Clingan
    As stated previously (here) (here), the On-Demand Replay of Java EE 7 Launch Webinar is already available. You can watch the entire Strategy and Technical Keynote there, and all other Technical Breakout sessions as well. We are releasing the next set of Technical Breakout sessions on GlassFishVideos YouTube channel as well. In this series, we are releasing JAX-RS 2.0, JTA 1.1, and JMS 2.0. Here's the JAX-RS 2.0 session: Enjoy watching them over the next few days before we release the next set of videos! And don't forget to download Java EE 7 SDK and try numerous bundled samples. "here), we are releasing the next set of Technical Breakout sessions on GlassFishVideos YouTube channel as well. In this series, the next three videos are released. Here's the JAX-RS 2.0 session: Enjoy watching them over the next few days before we release the next set of videos! And don't forget to download Java EE 7 SDK and try numerous bundled samples.

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  • Personal Financial Management – The need for resuscitation

    - by Salil Ravindran
    Until a year or so ago, PFM (Personal Financial Management) was the blue eyed boy of every channel banking head. In an age when bank account portability is still fiction, PFM was expected to incentivise customers to switch banks. It still is, in some emerging economies, but if the state of PFM in matured markets is anything to go by, it is in a state of coma and badly requires resuscitation. Studies conducted around the year show an alarming decline and stagnation in PFM usage in mature markets. A Sept 2012 report by Aite Group – Strategies for PFM Success shows that 72% of users hadn’t used PFM and worse, 58% of them were not kicked about using it. Of the rest who had used it, only half did on a bank site. While there are multiple reasons for this lack of adoption, some are glaringly obvious. While pretty graphs and pie charts are important to provide a visual representation of my income and expense, it is simply not enough to encourage me to return. Static representation of data without any insightful analysis does not help me. Budgeting and Cash Flow is important but when I have an operative account, a couple of savings accounts, a mortgage loan and a couple of credit cards help me with what my affordability is in specific contexts rather than telling me I just busted my budget. Help me with relative importance of each budget category so that I know it is fine to go over budget on books for my daughter as against going over budget on eating out. Budget over runs and spend analysis are post facto and I am informed of my sins only when I return to online banking. That too, only if I decide to come to the PFM area. Fundamentally, PFM should be a part of my banking engagement rather than an analysis tool. It should be contextual so that I can make insight based decisions. So what can be done to resuscitate PFM? Amalgamation with banking activities – In most cases, PFM tools are integrated into online banking pages and they are like chapter 37 of a long story. PFM needs to be a way of banking rather than a tool. Available balances should shift to Spendable Balances. Budget and goal related insights should be integrated with transaction sessions to drive pre-event financial decisions. Personal Financial Guidance - Banks need to think ground level and see if their PFM offering is really helping customers achieve self actualisation. Banks need to recognise that most customers out there are non-proficient about making the best value of their money. Customers return when they know that they are being guided rather than being just informed on their finance. Integrating contextual financial offers and financial planning into PFM is one way ahead. Yet another way is to help customers tag unwanted spending thereby encouraging sound savings habits. Mobile PFM – Most banks have left all those numbers on online banking. With access mostly having moved to devices and the success of apps, moving PFM on to devices will give it a much needed shot in the arm. This is not only about presenting the same wine in a new bottle but also about leveraging the power of the device in pushing real time notifications to make pre-purchase decisions. The pursuit should be to analyse spend, budgets and financial goals real time and push them pre-event on to the device. So next time, I should know that I have over run my eating out budget before walking into that burger joint and not after. Increase participation and collaboration – Peer group experiences and comments are valued above those offered by the bank. Integrating social media into PFM engagement will let customers share and solicit their financial management experiences with their peer group. Peer comparisons help benchmark one’s savings and spending habits with those of the peer group and increases stickiness. While mature markets have gone through this learning in some way over the last one year, banks in maturing digital banking economies increasingly seem to be falling into this trap. Best practices lie in profiling and segmenting customers, being where they are and contextually guiding them to identify and achieve their financial goals. Banks could look at the likes of Simple and Movenbank to draw inpiration from.

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  • APEX Patchset 4.2.1 erschienen

    - by Carsten Czarski
    Seit Freitag, dem 14.12. steht das APEX Patchset 4.2.1 zur Verfügung. Neben zahlreichen Bugfixes sind auch einige, kleinere Änderungen enthalten: Die JQuery Mobile Bibliothek wurde auf Version 1.2.0 aktualisiert Die AnyChart-Engine wurde auf Version 6.0.11 gehoben. Dadurch stehen "Circular Gauge" Charts auch als HTML5 Diagramme bereit Diagramme in Anwendungen für mobile Endgeräte können sich nun dynamisch der Bildschirmgröße anpassen Details zum Patchset finden sich, wie immer in den Release Notes. Wie bislang unterscheidet sich der Installationsvorgang je nach verwendeter APEX-Version. Wenn noch kein APEX oder eine ältere Version als 4.2 installiert ist, kann die Vollinstallation für APEX 4.2.1 direkt aus dem OTN heruntergeladen und normal installiert werden. Wenn APEX 4.2.0 installiert ist, muss Patch Nr. 14732511 aus MyOracle Support heruntergeladen und eingespielt werden.

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  • JavaFX Makeover for JFugue Music NotePad

    - by Geertjan
    Bengt-Erik Fröberg from Sweden, one of the developers working on ProSang, the leading Scandinavian blood bank system (and based on the NetBeans Platform), is reworking the user interface of the JFugue Music NotePad. In particular, the Score window (named ScoreFX window below) contains components that are now quite clearly JavaFX, instead of Swing. Looks a lot better and also performs better. The sliders in the Keyboard window are candidates for being similarly redone to use JavaFX instead of Swing. Want to do something similar? Here's all the info you need: http://platform.netbeans.org/tutorials/nbm-javafx.html

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  • Harnessing Business Events for Predictive Decision Making - part 1 / 3

    - by Sanjeev Sharma
    Businesses have long relied on data mining to elicit patterns and forecast future demand and supply trends. Improvements in computing hardware, specifically storage and compute capacity, have significantly enhanced the ability to store and analyze mountains of data in ever shrinking time-frames. Nevertheless, the reality is that data growth is outpacing storage capacity by a factor of two and computing power is still very much bounded by Moore's Law, doubling only every 18 months.Faced with this data explosion, businesses are exploring means to develop human brain-like capabilities in their decision systems (including BI and Analytics) to make sense of the data storm, in other words business events, in real-time and respond pro-actively rather than re-actively. It is more like having a little bit of the right information just a little bit before hand than having all of the right information after the fact. To appreciate this thought better let's first understand the workings of the human brain.Neuroscience research has revealed that the human brain is predictive in nature and that talent is nothing more than exceptional predictive ability. The cerebral-cortex, part of the human brain responsible for cognition, thought, language etc., comprises of five layers. The lowest layer in the hierarchy is responsible for sensory perception i.e. discrete, detail-oriented tasks whereas each of the above layers increasingly focused on assembling higher-order conceptual models. Information flows both up and down the layered memory hierarchy. This allows the conceptual mental-models to be refined over-time through experience and repetition. Secondly, and more importantly, the top-layers are able to prime the lower layers to anticipate certain events based on the existing mental-models thereby giving the brain a predictive ability. In a way the human brain develops a "memory of the future", some sort of an anticipatory thinking which let's it predict based on occurrence of events in real-time. A higher order of predictive ability stems from being able to recognize the lack of certain events. For instance, it is one thing to recognize the beats in a music track and another to detect beats that were missed, which involves a higher order predictive ability.Existing decision systems analyze historical data to identify patterns and use statistical forecasting techniques to drive planning. They are similar to the human-brain in that they employ business rules very much like mental-models to chunk and classify information. However unlike the human brain existing decision systems are unable to evolve these rules automatically (AI still best suited for highly specific tasks) and  predict the future based on real-time business events. Mistake me not,  existing decision systems remain vital to driving long-term and broader business planning. For instance, a telco will still rely on BI and Analytics software to plan promotions and optimize inventory but tap into business events enabled predictive insight to identify specifically which customers are likely to churn and engage with them pro-actively. In the next post, i will depict the technology components that enable businesses to harness real-time events and drive predictive decision making.

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  • How To: Drag & Drop in einer APEX Kalenderregion

    - by carstenczarski
    Wussten Sie schon, dass Sie Einträge in einer APEX-Kalenderregion mit Drag & Drop verschieben können - ganz wie in bekannten Anwendungen wie Microsoft Outlook oder Mozilla Thunderbird? Und dazu müssen Sie noch nicht einmal aufwändiges JavaScript programmieren - APEX bringt nahezu alles nötige out-of-the-box mit. Lesen Sie in unserem aktuellen Tipp, wie Sie Drag & Drop in einer APEX-Kalenderregion aktivieren - und das in wenigen Minuten. Übrigens: Schon zum APEX-Entwicklertag angemeldet ...?

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  • Spotlight on GlassFish 4.1: #7 WebSocket Session Throttling and JMX Monitoring

    - by delabassee
    'Spotlight on GlassFish 4.1' is a series of posts that highlights specific enhancements of the upcoming GlassFish 4.1 release. It could be a new feature, a fix, a behavior change, a tip, etc. #7 WebSocket Session Throttling and JMX Monitoring GlassFish 4.1 embeds Tyrus 1.8.1 which is compliant with the Maintenance Release of JSR 356 ("WebSocket API 1.1"). This release also brings brings additional features to the WebSocket support in GlassFish. JMX Monitoring: Tyrus now exposes WebSocket metrics through JMX . In GF 4.1, the following message statistics are monitored for both sent and received messages: messages count messages count per second average message size smallest message size largest message size Those statistics are collected independently of the message type (global count) and per specific message type (text, binary and control message). In GF 4.1, Tyrus also monitors, and exposes through JMX, errors at the application and endpoint level. For more information, please check Tyrus JMX Monitoring Session Throttling To preserve resources on the server hosting websocket endpoints, Tyrus now offers ways to limit the number of open sessions. Those limits can be configured at different level: per whole application per endpoint per remote endpoint address (client IP address)   For more details, check Tyrus Session Throttling. The next entry will focus on Tyrus new clients-side features.

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  • ZFS Basics

    - by user12614620
    Stage 1 basics: creating a pool # zpool create $NAME $REDUNDANCY $DISK1_0..N [$REDUNDANCY $DISK2_0..N]... $NAME = name of the pool you're creating. This will also be the name of the first filesystem and, by default, be placed at the mountpoint "/$NAME" $REDUNDANCY = either mirror or raidzN, and N can be 1, 2, or 3. If you leave N off, then it defaults to 1. $DISK1_0..N = the disks assigned to the pool. Example 1: zpool create tank mirror c4t1d0 c4t2d0 name of pool: tank redundancy: mirroring disks being mirrored: c4t1d0 and c4t2d0 Capacity: size of a single disk Example 2: zpool create tank raidz c4t1d0 c4t2d0 c4t3d0 c4t4d0 c4t5d0 Here the redundancy is raidz, and there are five disks, in a 4+1 (4 data, 1 parity) config. This means that the capacity is 4 times the disk size. If the command used "raidz2" instead, then the config would be 3+2. Likewise, "raidz3" would be a 2+3 config. Example 3: zpool create tank mirror c4t1d0 c4t2d0 mirror c4t3d0 c4t4d0 This is the same as the first mirror example, except there are two mirrors now. ZFS will stripe data across both mirrors, which means that writing data will go a bit faster. Note: you cannot create a mirror of two raidzs. You can create a raidz of mirrors, but to do that requires trickery.

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  • Internet of Things (IoT) Thanksgiving Special: Turkey Tweeter (Part 1)

    - by hinkmond
    It's time for the Internet of Things (ioT) Thanksgiving Special. This time we are going to work on a special Do-It-Yourself project to create an Internet of Things temperature probe to connect your Turkey Day turkey to the Internet by writing a Thanksgiving Day Java Embedded app for your Raspberry Pi which will send out tweets as it cooks in your oven. If you're vegetarian, don't worry, you can follow along and just run the simulation of the Turkey Tweeter, or better yet, try a tofu version of the Turkey Tweeter. Here is the parts list: 1 Vernier Go!Temp USB Temperature Probe 1 Uncooked Turkey 1 Raspberry Pi (not Pumpkin Pie) 1 Roll thermal reflective tape You can buy the Vernier Go!Temp USB Temperature Probe for $39 from here: http://www.vernier.com/products/sensors/temperature-sensors/go-temp/. And, you can get the thermal reflective tape from any auto parts store. (Don't tell them what you need it for. Say it's for rebuilding your V-8 engine in your Dodge Hemi. Avoids the need for a long explanation and sounds cooler...) The uncooked turkey can be found in your neighborhood grocery store. But, if you're making a vegetarian Tofurkey, you're on your own... The Java Embedded app will be the same, though (Java is vegan). So, grab all your parts and come back here for the next part of this project... Hinkmond

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  • Transparency call for Spec Leads and EC materials posted

    - by heathervc
    The materials and recording from the February 2012 call for JCP program Spec Leads is now available.  This call features Martijn Verburg, alternate EC representative for the London Java Community and includes information on the Adopt-a-JSR program.  The materials and audio recording of the  "Leveraging the Community" call can be found on the multimedia page of jcp.org .  The EC meeting summaries from February and March 2012 have also been posted.  Following the April 2012 EC Meeting this morning (minutes and materials will be posted soon), there are now four EC Members that have lost their voting privileges--AT&T, SK Telecom, Samsung and Twitter.  In order to regain their privileges, these EC Members must attend two EC meeting in a row, as detailed in the EC Standing Rules.

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  • JCP 2.9 & Transparency Spec Lead Call material is available

    - by Heather VanCura
    The JCP 2.9 & Transparency Spec Lead Call materials and recording from 9 November are now available on the JCP.org multimedia page.  Learn about changes introduced with JCP 2.9, effective Tuesday, 13 November, and a review of the JCP.Next reform efforts. Plus, a progress report on JCP 2.8, specifically around the areas of transparency, participation and agility, as well as suggestions for how you can get more involved in supporting these efforts with the current JCP program JSRs. 

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  • Java EE 8 update

    - by delabassee
    Planning for Java EE 8 is now well underway. As you know, a few weeks ago, we conducted a three part Java EE 8 Community Survey (you can find the final summary here). The data gathered have been very influential for the next steps. You can now expect over the coming weeks and months to see updates on the various specifications that compose the Java EE platform. Some Specification Leads are busy gathering additional feedback regarding what they should focus their efforts on (e.g. CDI 2 survey). Other Specification Leads have already publicly exposed what they think should be one of the focus for the evolution of the specification they lead.  For example, adding Server-Senet Events (SSE) support in JAX-RS is being discussed here and adding MVC support is being discussed here. Please remember that the fact we are now discussing any feature does not insure that it will be included in the proposal, nor in any particular update to Java EE. We can expect additional enhancements, changes and evolutions as we get closer to the finalisation of the different specifications... and there is still a long way to go with these specification proposals! Linda DeMichiel, Java EE Co-Specification Lead, has recently posted a draft proposal for the Java EE 8 Platform specification. Linda's goal is to recruit people and companies supporting this proposal before submitting it to the JCP.  This draft proposal is very interesting reading as it contains relevant information on the plans for Java EE 8 such as : The themes: Support for the latest web standards (eg. HTTP 2.0)  Continue to work on ease of development Improve the infrastructure for cloud support Alignment with Java SE 8 New JSRs to be added to the platform: J-Cache Java API for JSON Binding Java Configuration Plans for the Web Profile Plans on technologies to prune in Java EE 8, ... So if you haven't done it yet, I really encourage you to read the Java EE 8 draft proposal! Our goal for the Java EE 8 specification is for it to be finalized in the second half of 2016. It is important to note that we are in the early days of Java EE 8 and at this stage everything (themes, content, timing, etc.) is preliminary. Everything still needs to be discussed, challenged and agreed within the different Java Community Process (JCP) Experts Groups (EGs). Some EGs that still need to be formed! It could also means that the roadmap will have to be adjusted to follow the progress being made in the different EGs. This is also a good occasion to remind you that participation within those upcoming JCP Experts Groups is encouraged. Contributing in an EG is an effective lever to influence what Java EE 8 will become! Finally, as things get more concrete, we will share details on how to engage in the different Java EE 8 related Adopt-a-JSR initiatives, another way to contribute. You can also read other posts related to Java EE 8, here at The Aquarium blog. Just look for articles with the 'javaee8' tag.

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  • SPARC Go To Market Webinar am 21. Juni

    - by A&C Redaktion
    Hiermit möchten wir Sie herzlich zum weltweiten SPARC Go To Market Webinar am 21. Juni, 17:00 Uhr CET einladen. Unser Sprecher, Bud Koch, Senior Principal Product Marketing Director, wird Ihnen in diesem Online-Event einen Überblick über das SPARC / T4 Marketing geben. Er stellt dabei die aktuelle Materialien vor und zeigt Ihnen, was im Fiskaljahr 2013 geplant ist. So bekommen Sie einen Einblick und die richtige Vertriebsunterstützung. Weitere Informationen zum Webinar finden Sie hier. Wir bitten Sie, sich schon ein paar Minuten vorher einzuwählen, damit das Webinar pünktlich beginnen kann. Sollten Sie nicht live dabei sein können, wird es im Anschluss eine Aufzeichnung geben, die wir hier im Blog teilen werden.

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  • Do we have enough time to build an electric car future?

    - by julien.groues
    A recent article from Greenbang has posed the question 'Do we have enough time to build an electric car future?'. The writer discusses that, although the future of transport might lie with electric cars, there is concern regarding whether we'll be able to build the market and infrastructure required to support them, before carbon and oil constraints create difficulties in powering the vehicles. Of course, the increasing use of Electric vehicles (EVs) is going to put excessive pressure on energy grids, as large volumes of electricity will need to be directed to charging points, which in turn must handle fluctuating demand at peak times. EVs are increasing in popularity as a sustainable method of transport to reduce carbon consumption, and electric utilities will have the opportunity, and the challenge, to quickly determine the best methods to fuel these vehicles and accommodate the associated increases in demand for energy. Critically, efficient software is required to provide diagnostic and predictive capabilities related to EV refuelling - for example, anticipated electricity flow will need to be addressed as the number of EVs on the road increases, and electricity will need to be directed to specific areas on-demand as vehicles attempt to recharge en-mass. But a smart grid infrastructure can meet these demands, intelligently. The implementation of a smart grid is not in the distant future, it is an achievable reality for utilities via simple installation of new software and technologies, which can be done incrementally for those facing existing legacy systems or concerned with upfront costs. The smart grid is integral to the monitoring and control of energy use as well as the future-proofing of the energy grid. A smart grid will be critical to meeting the electricity requirements of new EVs and will ensure their successful deployment by providing a reliable foundation for the data handling required to record and manage electricity distribution - from recording and assessing energy usage, to analysing data and sharing information with consumers via green billing. http://www.greenbang.com/do-we-have-enough-time-to-build-an-electric-car-future_14248.html

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  • Eclipse Java Code Formatter in NetBeans Plugin Manager

    - by Geertjan
    Great news for Eclipse refugees everywhere. Benno Markiewicz forked the Eclipse formatter plugin that I blogged about sometime ago (here and here)... and he fixed many bugs, while also adding new features. It's a handy plugin when you're (a) switching from Eclipse to NetBeans and want to continue using your old formatting rules and (b) working in a polyglot IDE team, i.e., now the formatting rules defined in Eclipse can be imported into NetBeans IDE and everyone will happily be able to conform to the same set of formatting standards. And now you can get it directly from Tools | Plugins in NetBeans IDE 7.4: News from Benno on the plugin, received from him today: The plugin is verified by the NetBeans community and available in the Plugin Manager in NetBeans IDE 7.4 (as shown above) and also at the NetBeans Plugin Portal here, where you can also read quite some info about the plugin:  http://plugins.netbeans.org/plugin/50877/eclipse-code-formatter-for-java The issue with empty undo buffer was solved with the help of junichi11: https://github.com/markiewb/eclipsecodeformatter_for_netbeans/issues/18 The issue with the lost breakpoints remains unsolved and there was no further feedback. That is the main reason why the save action isn't activated by default. See also the open known issues at https://github.com/markiewb/eclipsecodeformatter_for_netbeans/issues?state=open Features are as follows:  Global configuration and project specific configuration.  On save action, which is disabled by default. Show the used formatter as a notification, which is enabled by default.  Finally, Benno testifies to the usefulness, stability, and reliability of the plugin: I use the Eclipse formatter provided by this plugin every day at work. Before I commit, I format the sources. It works and that's it. I am pleased with it. Here's where the Eclipse formatter is defined globally in Tools | Options: And here is per-project configuration, i.e., use the Project Properties dialog of any project to override the global settings:  Interested to hear from anyone who tries the plugin and has any feedback of any kind! 

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  • JavaOne Content Catalog Live!

    - by programmarketingOTN
    The JavaOne Content Catalog—the central repository for information on sessions, demos, labs, user groups, exhibitors, and more for San Francisco 2012—is live!In the Content Catalog you can search on tracks, session types, session categories, keywords, and tags. Or, you can search for your favorite speakers to see what they’re presenting this year. And, directly from the catalog, you can share sessions you’re interested in with friends and colleagues through a broad array of social media channels.Start checking out JavaOne content now to plan your week at the conference. Then you’ll be ready to sign up for all of your sessions in mid-July when the scheduling tool goes live. Happy browsing! 

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  • Twitter Tuesday - Top 10 @ArchBeat Tweets - May 27 - June 2, 2014

    - by OTN ArchBeat
    The Top 10 tweets from @OTNArchBeat for the last seven days, May 27- June 2, 2014.. RT @Java_EE: We changed the term from #J2EE and #JEE to Java EE in May 2006. Let's educate all users and especially recruiters. Retweet! May 30, 2014 at 12:00 AM Video: #kscope14 Preview: @timtow on Essbase Java API and @ODTUG Community Jun 02, 2014 at 12:00 AM #GoldenGate and #ODI - A Perfect Match in 12c - Part 1: Getting Started | Michael Rainey Jun 02, 2014 at 12:00 AM Podcast: Developing Enterprise Mobile Apps - Part 2 w/ @chriscmuir @fnimphiu @stevendavelaar @lucb_ May 29, 2014 at 12:00 AM Caveats on Using #WebLogic Server with JDK7 | @JayJayZheng May 28, 2014 at 12:00 AM SOA and Business Processes: You are the Process! @gschmutz @dschmied @t_winterberg et al #industrialsoa May 27, 2014 at 12:00 AM Video: #Kscope14 Preview: Data Modeling and Moving Meditation with @KentGraziano May 28, 2014 at 12:00 AM #Kscope14 Preview: @ericerikson on #HFM Metadata Diagnostics and more @ODTUG Jun 02, 2014 at 12:00 AM Extract Data from #FusionApps via Web Services | Richard Williams May 29, 2014 at 12:00 AM Top 10 @ArchBeat Tweets - May 20-26 #KScope14 #OBIEE #WebLogic #WebCenter May 27, 2014 at 12:00 AM

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  • JDK bug migration milestone: JIRA now the system of record

    - by darcy
    I'm pleased to announce the OpenJDK bug database migration project has reached a significant milestone: the JDK has switched from the legacy Sun "bugtraq" system to a new internal JIRA instance as the system of record for our bug tracking. This completes the initial phase of the previously described plan of getting OpenJDK onto an externally visible and writable bug tracker. The identities contained in the current system include recognized OpenJDK contributors. The bug migration effort to date has been sizable in multiple dimensions. There are around 140,000 distinct issues imported into the JDK project of the JIRA instance, nearly 165,000 if backport issues to track multiple-release information are included. Separately, the Code Tools OpenJDK project has its own JIRA project populated with several thousands existing bugs. Once the OpenJDK JIRA instance is externalized, approved OpenJDK projects will be able to request the creation of a JIRA project for issue tracking. There are many differences in the schema used to model bugs between the legacy bug system and the schema for the new JIRA projects. We've favored simplifications to the existing system where possible and, after much discussion, we've settled on five main states for the OpenJDK JIRA projects: New Open In progress Resolved Closed The Open and In-progress states can have a substate Understanding field set to track whether the issues has its "Cause Known" or "Fix understood". In the closed state, a Verification field can indicate whether a fix has been verified, unverified, or if the fix has failed. At the moment, there will be very little externally visible difference between JIRA for OpenJDK and the legacy system it replaces. One difference is that bug numbers for newly filed issues in the JIRA JDK project will be 8000000 and above. If you are working with JDK Hg repositories, update any local copies of jcheck to the latest version which recognizes this expanded bug range. (The bug numbers of existing issues have been preserved on the import into JIRA). Relatively soon, we plan for the pages published on bugs.sun.com to be generated from information in JIRA rather than in the legacy system. When this occurs, there will be some differences in the page display and the terminology used will be revised to reflect JIRA usage, such as referring to the "component/subcomponent" of an issue rather than its "category". The exact timing of this transition will be announced when it is known. We don't currently have a firm timeline for externalization of the JIRA system. Updates will be provided as they become available. However, that is unlikely to happen before JavaOne next week!

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  • Why are embedded device apps still written in C/C++? Why not Java programming language?

    - by hinkmond
    At the recent Black Hat 2014 conference in Sin City, the Black Hatters were focusing on Embedded Devices and IoT. You know? Make your networked-toaster burn your bread 10,000 miles away, over the Web for grins and giggles. Well, apparently the Black Hatters say it can be done pretty easily these days, which is scary. See: Securing Embedded Devices & IoT Here's a quote: All these devices are still written in C and C++. The challenges associated with developing securely in these languages have been fought for nearly two decades. "You often hear people say, 'Well, why don't we just get rid of the C and C++ language if it's so problematic. Why don't we just write everything in C# or Java, or something that is a little safer to develop in?'," DeMott says. Gah! Why are all these IoT devices still using C/C++? Of course they should be using Java SE Embedded technology! It's a natural fit to use for better security on embedded devices. Or, I guess, developers really don't mind if their networked-toasters do char their breakfast. If it can be burned, it will be... That's what I say. Unless they use Java. Hinkmond

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