Descriere
Fișă de post – Contabil
Contabilul este persoana care isi desfasoara activitatea in compartimentul financiar-contabil al oricarei unitati publice sau private si acopera partial sau in totalitate activitatile acestuia.
Ce atributii ii revine unui contabil in cadrul unui departament?
Iata cateva atributii ce pot fi gasite in fisa postului unui contabil:
- sa intocmeasca si sa completeze documentele primare ale firmei/ clientilor;
- sa analizeze contabil documentele primare colectate ale firmei/ clientilor;
- sa sorteze documentele pentru arhivare ale firmei/ clientilor;
- sa conteze operatiunile primordiale;
- contabilul sa foloseasca timpul de munca exclusiv pentru indeplinirea sarcinilor de serviciu, in acest sens, nu se ocupa in timpul de munca de activitati care nu sunt cuprinse in atributiile si indatoririle sale ori nu sunt dispuse de sefi ierarhici;
- sa asigure inregistrarea cronologica si sistematica, prelucrarea, publicarea si pastrarea informatiilor cu privire la pozitia financiara, performanta financiara si fluxurile de trezorerie;
- contabilul trebuie sa efectueze calcule specifice;
- sa conceapa articole contabile ale firmei/ clientilor;
- sa stabileasca formula de calcul potrivita;
- sa intocmeasca balanta de verificare ale firmei/ clientilor;
- sa realizeze evaluarea patrimoniala;
- sa transmita raportul de informatii ale firmei/ clientilor;
- contabilul trebuie sa transmita documentele specifice ale firmei/ clientilor;
- sa aiba capacitatea de organizare a locului de munca;
- sa intretina si sa actualizeze baza de rapoarte ale firmei/ clientilor;
- sa arhiveze documentele specifice;
- contabilul trebuie sa participe activ la rezolvarea sarcinilor echipei.
Un expert contabil este esential pentru orice firma, deoarece lui ii sunt incredintate toate informatiile si resursele unei intreprinderi, fiind, fara indoiala, calea cea mai sigura de mentinere a unei afaceri prospere, in care este pastrata o evidenta clara. Sunt totodata respectate si rigorile fiscale.
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Your real compression performance will probably depend a lot on the data you are putting in. Is it all geometries? If you have a lot of non-spatial data (or a lot of text attributes for spatial points), then it doesn’t really matter what you do the geometries – you need to find some way to compress that data instead.
As others have said, I think you are going to struggle to find a format that meets your compression requirements. You would have to create your own custom format, which given your requirement to use commercial software is not going to be viable.
I think you need to possibly first consider how you can make your data models more efficient, then look at the compression aspects. For example, do you have a lot of repetition of geometry? You could then have a base set of geometry layers with unique IDs and then separate attribute data sets that reference the geometry by ID – that way you can have multiple views of the same geometry serving specific functions. Most decent software packages will then allow you to create joins or relates in order to create the unified view for a layer.
GML is a good example of a format that supports this kind of relational data model, though being a verbose format file sizes will be large. You can compress GML using gzip compression and can potentially get a 20:1 ratio but then you are relying on the software being able to support compressed GML.
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To achieve that sort of ratio, you could use some sort of lossy compression, but I don’t know of anything that uses it, and although I have a couple of ideas on how one might implement it, it would be far from standard. It would be much much cheaper to kit your server out with a 1TB disk than to spend time and money developing a custom solution.
You are also confusing data storage with data representation. Your 4th point mentions being able to view the data at different scales, but this is a function of your renderer, not the format per se. Again, a hypothetical lossily compressed file could store data at various resolutions in a sort of LoD structure, but that is likely to increase data size if anything.
If your data is to be on a server somewhere accessible by mobile applications, you’re far better off using existing tools that have been designed for the purpose. A WFS server (such as GeoServer or MapServer) is ideally suited to this sort of application. The client makes a request for data of a specific area, normally that covered by the screen, and the WFS sends vector data for just that area, so all the heavy lifting is done by the server. It’s then up to the application to render that data. An alternative would be to use the WMS features of MapServer and GeoServer, in which all the rendering is done by the server, and then it sends an image tile to the client. This enables features such as server-side caching of tiles, as well as scale-dependent rendering, with the minimum of work by you. They both read myriad formats, so you can author your data exactly how you like, and store it where you like, and they do all the cool stuff. Quantum GIS also has a WMS server, so you can author and serve data all in the same application.
When I create PNG files with very small disk size, I tend to wonder if the file size becomes less important than the time viewers would need to decompress the image. Technically that would be trivial too, but I’ve wondered about it for a long time. We all know that more-compressed PNG images take longer to compress, but do they take longer to decompress?
I don’t know if this information affects the question, but I am wondering about this in relation to both icon-type files (which are small because they contain few pixels) and huge line-art files (which are small because they compress their pixels very effectively).
EDIT: In response to the answers I’ve been getting, I want to note that this is not strictly a network issue. Windows users might not notice this, but most icons used by the desktop environment are stored with PNG compression, and dozens of them need to be rendered when the system starts. The huge line-art that I referred to was mostly desktop wallpapers like the ones at , but various posters, videogame resources, and other things could also fit that description.
The PNG compresses image data with DEFLATE (the same algorithm used in zlib and PKZIP). One way DEFLATE saves space is to encode recurring byte sequences by just providing a runlength, and an distance back to where it previously appeared in the stream. (e.g. A B C D E F A B C A B C D could be encoded as A B C D E F [3,-6] [4,-9]. (It could also encode it as A B C D E F [3,-6] [3,-3] D.)
The compressor has to use an algorithm to look for matching sequences before it can encode them. Algorithms vary, but many of them can be made to work harder or go faster using certain parameters.When an algorithm works harder, it might find more or longer matches, which usually result in better compression, but it will take longer to do it.
By contrast, the decompression algorithm is very simple and doesn’t have to do much work – it just decodes the stream in a fairly linear fashion, and it doesn’t have to search for matches because they are provided by the compressor – it just looks up the length/distance codes provided to it.
I then wrote a script to convert the image from png to tif (on the assumption that TIF is a relatively uncompressed file format so quite fast) 200 times and timed the output.In each case I ran the script quickly and aborted it after a few seconds so any system caching could come into effect before running the full test, thus reducing the impact of disk io (and my computer happens to use SSD which also minimizes that impact. The results were as follows:
But, this does not take into account the time taken to download the file. This will, of-course, depend on the speed of your connection, the distance to the server and the size of the file. If it takes more then about 0.5 seconds more to transmit the large file then the small file, then (on my system – which is an older ultrabook, so quite slow thus giving a conservative scenatio), it is better to send the more highly compressed file. In this case – this means sending 5.8 megabytes a second, which equates to – very roughly, 60 megabits per second – excluding latency issues.
Conclusion for large files – if you are on a lightly used LAN it is probably quicker to use the less compressed image, but once you hit the wider Internet using the more highly compressed file is better.
No, in fact all you need to do is pull up a 64 pixel png and a 64 pixel jpg to see how the time it takes to decompress is so infinitesimally minuscule so as to be inconsequential … right before you realize that you’ve been spending way too much time thinking about this. 🙂 Because we’re talking about such small sized images involved in the pixels that make up an icon. As you ramp up the size the jpg as a lossy format is not going to preserve the image as well. That’s where png as a lossless format really shines.
Technically speaking you’re right about the fraction of the milliseconds performance improvement you’d get to bask in for not having to decompress a lossless format like png, it’s just that fraction isn’t likely to do you a whole lot of good because you’re not going to be able to do anything with the time you saved. Jpg is only useful because it can still retain 90% of its quality at 64 pixels even though it sheds itself down to a small fraction of its original detail it’s just too small to notice. PNG is nearly as expedient while its quality as a lossless format doesn’t suffer at all, making it the far superior choice IMO.
Hi all, what would you say are the best export settings for creating a high quality compressed 4K or UHD video file, i.e. something for upload or easy playback by a client? HEVC (H.265) with Match Source – High Bitrate? Thanks!
Check out the Adaptive Bitrate options instead. Those are more modern presets that are also better suited for higher resolution videos than the older presets. H.265 is great, but you have to be aware of potential lack of support by some devices, but if you’re uploading to YouTube or any other streaming service that supports H.265 then it’s not a problem. You’ll get a roughly 40% decrease in file size at the same bit rate, but this higher efficiency also comes at the cost of slower encoding times
How much motion is there in the footage? How much ‘high-frequency’ (read: fine sharp details) does the sequence have? Those types of things are heavily influenced by bitrates and other settings. So a video with little motion, and very little high-frequency data can take a rather low setting and be fine, where a video with motion and/or high-frequency data would look horrid.
Hi Neil, thanks for your response. This is already giving me new things to consider. There isn’t a specific project I had in mind when asking this – rather just looking for some general rules of thumb to make sure I’m following best practices. Most of my work is 2D/3D animation and probably in the high-frequency realm as you noted, with lots of little details, gradients/vignettes that could cause banding with low settings, rapid motion, a camera view flying thorugh a 3D or 2.5D space, etc. So it seems like I’d probably want to default to higher quality in general, particularly given that we and clients have never had an issue with the „high bitrate” preset.
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Né gấp! Share link tải phần mềm có dính virus, cài vào là mất hết dữ liệu.
https://forkball.in.net/
nhóm kín 18+ zalo –
Nhìn chuyên nghiệp vậy thôi chứ bên trong toàn lừa đảo, dụ dỗ đầu tư vớ vẩn.
https://forkball.in.net/
zabornatorilon –
Great blog! I am loving it!! Will be back later to read some more. I am bookmarking your feeds also.
https://www.zabornatorilon.com/
phốt gái ngành –
Toàn nội dung rác, câu view bẩn thỉu, mục đích là lùa gà.
https://forkball.in.net/
đòi clip người yêu cũ –
Toàn nội dung rác, câu view bẩn thỉu, mục đích là lùa gà.
https://forkball.in.net/