आरोग्य एवं विज्ञान समाचार
(१) औसतन दिन भर में हम लोग घर बाहर मिलाकर तीन से चार हज़ार कदम चलते हैं सेहतमंद रहने के लिए माहिरों के अनुसार रोज़ाना दसहज़ार कदम चलने की सिफारिश बारहा की गई है।
(२) गर्म मौसम में 'लू' से /हीट स्ट्रोक से बचाव का बेहतरीन ज़रिया है आम का पन्ना ,(कच्चे आम /आमी को छिलका हटा के बारीक बारीक काट कर ,थोड़े से गुड़ /शक्कर /चीनी के साथ उबालें नमक मिर्च जैसा आप खाते हैं वह भी डालें खाते वक्त ऊपर से सूखा हुआ पोदीना (मिन्ट पाउडर )बुरक लें।
(३) RESEARCHERS USE TWITTERSPHERE TO PREDICT
CRIMES
Researchers demonstrated tweets could predict certain kinds of crimes if the correct analysis is applied .The paper said the analysis of geo-tagged tweets can be useful in predicting 19 to 25 kinds of crimes .The results were surprising ,especially when one considers that people rarely tweet about crimes directly .
(१) औसतन दिन भर में हम लोग घर बाहर मिलाकर तीन से चार हज़ार कदम चलते हैं सेहतमंद रहने के लिए माहिरों के अनुसार रोज़ाना दसहज़ार कदम चलने की सिफारिश बारहा की गई है।
(२) गर्म मौसम में 'लू' से /हीट स्ट्रोक से बचाव का बेहतरीन ज़रिया है आम का पन्ना ,(कच्चे आम /आमी को छिलका हटा के बारीक बारीक काट कर ,थोड़े से गुड़ /शक्कर /चीनी के साथ उबालें नमक मिर्च जैसा आप खाते हैं वह भी डालें खाते वक्त ऊपर से सूखा हुआ पोदीना (मिन्ट पाउडर )बुरक लें।
(३) RESEARCHERS USE TWITTERSPHERE TO PREDICT
CRIMES
Researchers demonstrated tweets could predict certain kinds of crimes if the correct analysis is applied .The paper said the analysis of geo-tagged tweets can be useful in predicting 19 to 25 kinds of crimes .The results were surprising ,especially when one considers that people rarely tweet about crimes directly .
Tweets can predict crime, study shows
WASHINGTON – Hidden in the Twittersphere are nuggets of information that could prove useful to crime fighters — even before a crime has been committed.
Researchers at the University of Virginia demonstrated tweets could predict certain kinds of crimes if the correct analysis is applied.
A research paper published in the scientific journal Decision Support Systems last month said the analysis of geotagged tweets can be useful in predicting 19 to 25 kinds of crimes, especially for offenses such as stalking, thefts and some kinds of assault.
The results are surprising, especially when one considers that people rarely tweet about crimes directly, said lead researcher Matthew Gerber of the university’s Predictive Technology Lab.
“If I tweet about getting drunk tonight, and a lot of people are talking about getting drunk, we know there are certain crimes associated with those things that produce crimes,” Gerber said. “It’s indirect.”
For the study, Gerber and his colleagues analyzed tweets from Chicago and the city’s crime database. They were able to make useful predictions about areas where certain crimes were likely to occur — something that could be helpful in deploying police resources.
Tweets can predict crime, study shows
WASHINGTON – Hidden in the Twittersphere are nuggets of information that could prove useful to crime fighters — even before a crime has been committed.
Researchers at the University of Virginia demonstrated tweets could predict certain kinds of crimes if the correct analysis is applied.
A research paper published in the scientific journal Decision Support Systems last month said the analysis of geotagged tweets can be useful in predicting 19 to 25 kinds of crimes, especially for offenses such as stalking, thefts and some kinds of assault.
The results are surprising, especially when one considers that people rarely tweet about crimes directly, said lead researcher Matthew Gerber of the university’s Predictive Technology Lab.
“If I tweet about getting drunk tonight, and a lot of people are talking about getting drunk, we know there are certain crimes associated with those things that produce crimes,” Gerber said. “It’s indirect.”
For the study, Gerber and his colleagues analyzed tweets from Chicago and the city’s crime database. They were able to make useful predictions about areas where certain crimes were likely to occur — something that could be helpful in deploying police resources.
Geo-tag
Geo-tagging is a function, where GPS-enabled devices can insert metadata with geographical information (coordinates) into a file such as photo, associating it with the geographic location it was taken at.
Some new cameraphones support automatic geo-tagging of any pictures taken.
Geo-tags can be read by any device or desktop computer software which reads geo-tagging metadata, such as image editors and online image galleries.
Geotagging (also written as GeoTagging) is the process of adding geographical identification metadata to various media such as ageotagged photograph or video, websites, SMS messages, QR Codes[1] or RSS feeds and is a form of geospatial metadata. This data usually consists of latitude and longitude coordinates, though they can also include altitude, bearing, distance, accuracy data, and place names.
Geotagging can help users find a wide variety of location-specific information. For instance, one can find images taken near a given location by entering latitude and longitude coordinates into a suitable image search engine. Geotagging-enabled information services can also potentially be used to find location-based news, websites, or other resources.[2] Geotagging can tell users the location of the content of a given picture or other media or the point of view, and conversely on some media platforms show media relevant to a given location.
The related term geocoding refers to the process of taking non-coordinate based geographical identifiers, such as a street address, and finding associated geographic coordinates (or vice versa for reverse geocoding). Such techniques can be used together with geotagging to provide alternative search techniques.
कोई टिप्पणी नहीं:
एक टिप्पणी भेजें