500K, in the context of DPI (dots per inch), typically refers to a resolution of 500,000 dots or pixels, which can be relevant in digital imaging or printing. This measurement can denote the total pixel count in an image or the quality of a printed output. Higher DPI values indicate finer detail and greater clarity in images. However, 500K DPI itself is not a standard measurement, as DPI values usually range from 300 to 1200 for high-quality printing.
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RTD typically stands for "resistance temperature detector," which is a type of temperature sensor that measures temperature by correlating the resistance of a material with temperature. It is commonly used in industrial applications due to its accuracy and stability over a wide temperature range. Additionally, "RTD" can also refer to "real-time data," particularly in contexts relating to data analytics or streaming information.
Quantitative data is data that is relating to, measuring, or measured by the quantity of something, rather than its quality. ex: the number of people in a townQualitative data is data that can be captured that is not numerical in nature ex: the color of people's skin.Thus, essentially the distinction is that quantitative data deals with numbers and numerical values of what is being tested, where as qualitative data deals with the quality of what is being tested.Qualitative data's description cannot be describe in numbers. Quantitative data's description ca only be described in numbers.
First of all you need to clarify the types of risks and the limits which you are ready to accept for ex. per office you are ready to accept 1mln and per shop 500K. Then you need to check, is this risk already insured by your company or not, becouse in case if it is already insured part of it or contents you will have comulation. then you need to check survey report and clarify the point of spreading for ex. fire risk and damage that it can make, if for example you have wooden floore in 2 storey building it means that the contents loss will be 100% due to fire and fall from second to the first floor. thent in case of food stock the EML will be 100% becouse of contamination due to fire or smoke. so at the final you have approximate EML on building 60-70% stock for example 100% building value 1 mln (700K EML) stock 5mln (EML 1mln) = 6mln EML then you are calculating your acceptance limit as I said in the first sentence yuo need to have acceptance limit per risk type and lets imagine that the warehose acceptance limit in our company is 2 mln 2 000 000 (acceptance limit)/6 000 000 (EML) * 100 = 33% but it is better not to accept the full 33% take 30% to allow a margin for future increase in the sum insured
Many interesting coincidences have been observed, relating to the number 23 (the late Robert Anton Wilson wrote about this at some length, and of course there is even a movie about it) but there are also lots of interesting coincidences concerning many other numbers, and chances are, something notable can be observed about practically any number you come up with. We are always counting things and attaching numbers to things, everything happens at a specific time that can be described by a number, and a specific place that has an address, and involves a specific number of people and objects, having specific weights, speeds, monetary worth, and various other factors all of which can be described by a number; there are endless opportunities to find numbers and to find coincidental relationships between numbers. Consider the fact that in the radio comedy program (later made into novels, a TV series, and a movie) called "The Hitchhiker's Guide To The Galaxy, Douglas Adams suggested that the ultimate answer to life, the universe, and everything is 42. This was a joke, however, many people heard or read this, and started looking more closely at the number 42, and guess what, there are all sorts of interesting coincidences involving the number 42. It works just as well as the number 23. And it was chosen at random.
No, 5k is 5000 500k is 500,000.
No.
Dot Per Inch (DPI)
DPI stands for Dots Per Inch.....
Dot Per Inch (DPI)
A high resolution DPI for images is typically considered to be 300 DPI or higher.
1200 dpi because dpi stands for dot per inch, there for 1200 dpi gives 1200 dots per inch instead of 600 dpi only giving 600 dots per inch thus 1200 dpi gives a better resolution
500k yr
"k" represents thousand 500k=500,000
The DPI refers to the dots per inch and refers to the image resolution. It is difficult to know what the DPI from photos from disposable cameras is. The scanner however does control the DPI of the scanned photo.
The main difference in image quality between 72 dpi and 300 dpi is the level of detail and sharpness. Images with 300 dpi have higher resolution and appear clearer and more detailed compared to images with 72 dpi, which may appear pixelated or blurry when printed or viewed at a larger size.
The difference between 300 dpi and 72 dpi is in the resolution and quality of an image. 300 dpi (dots per inch) is higher resolution and better quality, suitable for printing, while 72 dpi is lower resolution and lower quality, more suitable for digital display on screens.