際際滷shows by User: ionyclaret / http://www.slideshare.net/images/logo.gif 際際滷shows by User: ionyclaret / Wed, 10 Dec 2014 10:44:08 GMT 際際滷Share feed for 際際滷shows by User: ionyclaret three means of building trust in an electronic business relationship /slideshow/seminar-presentation-on-the-three-means-of-building/42571478 seminarpresentationonthethreemeansofbuilding-141210104408-conversion-gate02
three means of building trust in an electronic business relationship]]>

three means of building trust in an electronic business relationship]]>
Wed, 10 Dec 2014 10:44:08 GMT /slideshow/seminar-presentation-on-the-three-means-of-building/42571478 ionyclaret@slideshare.net(ionyclaret) three means of building trust in an electronic business relationship ionyclaret three means of building trust in an electronic business relationship <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/seminarpresentationonthethreemeansofbuilding-141210104408-conversion-gate02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> three means of building trust in an electronic business relationship
three means of building trust in an electronic business relationship from Anthony-Claret Onwutalobi
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Africans: Tracing your root by Anthony claret /slideshow/africantracing-your-root-anthony-claret/42571390 tracingyourroot-anthonyclaret-141210104130-conversion-gate02
Africans: Tracing your root]]>

Africans: Tracing your root]]>
Wed, 10 Dec 2014 10:41:30 GMT /slideshow/africantracing-your-root-anthony-claret/42571390 ionyclaret@slideshare.net(ionyclaret) Africans: Tracing your root by Anthony claret ionyclaret Africans: Tracing your root <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/tracingyourroot-anthonyclaret-141210104130-conversion-gate02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Africans: Tracing your root
Africans: Tracing your root by Anthony claret from Anthony-Claret Onwutalobi
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Why Manager Should Understand Telecommunication /slideshow/iact-302-seminar/42571290 iact302seminar-141210103827-conversion-gate01
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Wed, 10 Dec 2014 10:38:27 GMT /slideshow/iact-302-seminar/42571290 ionyclaret@slideshare.net(ionyclaret) Why Manager Should Understand Telecommunication ionyclaret <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/iact302seminar-141210103827-conversion-gate01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
Why Manager Should Understand Telecommunication from Anthony-Claret Onwutalobi
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Using lexical chains for text summarization /ionyclaret/using-lexical-chains-for-text-summarization usinglexicalchainsfortextsummarization-141210103552-conversion-gate02
We investigate one technique to produce a summary of an original text without requiring its full semantic in- terpretation, but instead relying on a model of the topic progression in the text derived from lexical chains. We present a new algorithm to compute lexical chains in a text, merging several robust knowledge sources: the WordNet thesaurus, a part-of-speech tagger, shallow parser for the identification of nominal groups, and a segmentation algorithm]]>

We investigate one technique to produce a summary of an original text without requiring its full semantic in- terpretation, but instead relying on a model of the topic progression in the text derived from lexical chains. We present a new algorithm to compute lexical chains in a text, merging several robust knowledge sources: the WordNet thesaurus, a part-of-speech tagger, shallow parser for the identification of nominal groups, and a segmentation algorithm]]>
Wed, 10 Dec 2014 10:35:52 GMT /ionyclaret/using-lexical-chains-for-text-summarization ionyclaret@slideshare.net(ionyclaret) Using lexical chains for text summarization ionyclaret We investigate one technique to produce a summary of an original text without requiring its full semantic in- terpretation, but instead relying on a model of the topic progression in the text derived from lexical chains. We present a new algorithm to compute lexical chains in a text, merging several robust knowledge sources: the WordNet thesaurus, a part-of-speech tagger, shallow parser for the identification of nominal groups, and a segmentation algorithm <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/usinglexicalchainsfortextsummarization-141210103552-conversion-gate02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> We investigate one technique to produce a summary of an original text without requiring its full semantic in- terpretation, but instead relying on a model of the topic progression in the text derived from lexical chains. We present a new algorithm to compute lexical chains in a text, merging several robust knowledge sources: the WordNet thesaurus, a part-of-speech tagger, shallow parser for the identification of nominal groups, and a segmentation algorithm
Using lexical chains for text summarization from Anthony-Claret Onwutalobi
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Congestion control avoidance /slideshow/congestion-control-avoidance/42570923 congestioncontrolavoidance-141210102755-conversion-gate02
Computer networks have experienced an explosive growth over the past few years and with that growth have come severe congestion problems. For example, it is now common to see internet gateways drop 10% of the incoming packets because of local buffer overflows. Our investigation of some of these problems has shown that much of the cause lies in transport protocol implementations ( not in the protocols themselves): The obvious ways to implement a window-based transport protocol can result in exactly the wrong behavior in response to network congestion. We give examples of wrong behavior and describe some simple algorithms that can be used to make right things happen. The algorithms are rooted in the idea of achieving network stability by forcing the transport connection to obey a packet conservation principle. We show how the algorithms derive from this principle and what effect they have on traffic over congested networks. In October of 86, the Internet had the first of what became a series of congestion col- lapses. During this period, the data throughput from LBL to UC Berkeley (sites separated by 400 yards and two IMP hops) dropped from 32 Kbps to 40 bps. We were fascinated by this sudden factor-of-thousand drop in bandwidth and embarked on an investigation of why things had gotten so bad. In particular, we wondered if the 4.3 BSD (Berkeley U NIX ) TCP was mis-behaving or if it could be tuned to work better under abysmal network conditions. The answer to both of these questions was yes.]]>

Computer networks have experienced an explosive growth over the past few years and with that growth have come severe congestion problems. For example, it is now common to see internet gateways drop 10% of the incoming packets because of local buffer overflows. Our investigation of some of these problems has shown that much of the cause lies in transport protocol implementations ( not in the protocols themselves): The obvious ways to implement a window-based transport protocol can result in exactly the wrong behavior in response to network congestion. We give examples of wrong behavior and describe some simple algorithms that can be used to make right things happen. The algorithms are rooted in the idea of achieving network stability by forcing the transport connection to obey a packet conservation principle. We show how the algorithms derive from this principle and what effect they have on traffic over congested networks. In October of 86, the Internet had the first of what became a series of congestion col- lapses. During this period, the data throughput from LBL to UC Berkeley (sites separated by 400 yards and two IMP hops) dropped from 32 Kbps to 40 bps. We were fascinated by this sudden factor-of-thousand drop in bandwidth and embarked on an investigation of why things had gotten so bad. In particular, we wondered if the 4.3 BSD (Berkeley U NIX ) TCP was mis-behaving or if it could be tuned to work better under abysmal network conditions. The answer to both of these questions was yes.]]>
Wed, 10 Dec 2014 10:27:55 GMT /slideshow/congestion-control-avoidance/42570923 ionyclaret@slideshare.net(ionyclaret) Congestion control avoidance ionyclaret Computer networks have experienced an explosive growth over the past few years and with that growth have come severe congestion problems. For example, it is now common to see internet gateways drop 10% of the incoming packets because of local buffer overflows. Our investigation of some of these problems has shown that much of the cause lies in transport protocol implementations ( not in the protocols themselves): The obvious ways to implement a window-based transport protocol can result in exactly the wrong behavior in response to network congestion. We give examples of wrong behavior and describe some simple algorithms that can be used to make right things happen. The algorithms are rooted in the idea of achieving network stability by forcing the transport connection to obey a packet conservation principle. We show how the algorithms derive from this principle and what effect they have on traffic over congested networks. In October of 86, the Internet had the first of what became a series of congestion col- lapses. During this period, the data throughput from LBL to UC Berkeley (sites separated by 400 yards and two IMP hops) dropped from 32 Kbps to 40 bps. We were fascinated by this sudden factor-of-thousand drop in bandwidth and embarked on an investigation of why things had gotten so bad. In particular, we wondered if the 4.3 BSD (Berkeley U NIX ) TCP was mis-behaving or if it could be tuned to work better under abysmal network conditions. The answer to both of these questions was yes. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/congestioncontrolavoidance-141210102755-conversion-gate02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Computer networks have experienced an explosive growth over the past few years and with that growth have come severe congestion problems. For example, it is now common to see internet gateways drop 10% of the incoming packets because of local buffer overflows. Our investigation of some of these problems has shown that much of the cause lies in transport protocol implementations ( not in the protocols themselves): The obvious ways to implement a window-based transport protocol can result in exactly the wrong behavior in response to network congestion. We give examples of wrong behavior and describe some simple algorithms that can be used to make right things happen. The algorithms are rooted in the idea of achieving network stability by forcing the transport connection to obey a packet conservation principle. We show how the algorithms derive from this principle and what effect they have on traffic over congested networks. In October of 86, the Internet had the first of what became a series of congestion col- lapses. During this period, the data throughput from LBL to UC Berkeley (sites separated by 400 yards and two IMP hops) dropped from 32 Kbps to 40 bps. We were fascinated by this sudden factor-of-thousand drop in bandwidth and embarked on an investigation of why things had gotten so bad. In particular, we wondered if the 4.3 BSD (Berkeley U NIX ) TCP was mis-behaving or if it could be tuned to work better under abysmal network conditions. The answer to both of these questions was yes.
Congestion control avoidance from Anthony-Claret Onwutalobi
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https://cdn.slidesharecdn.com/profile-photo-ionyclaret-48x48.jpg?cb=1560935490 A resourceful, hard-working and dedicated individual with outstanding administrative and organizational skills and the proven ability to develop and implement effective new systems and procedures; Quick to grasp new ideas and concepts and always keen to develop new skills and expertise; Able to work well both independently and as part of a productive team, demonstrating the motivation and multitasking abilities required to meet demanding deadlines while maintaining the highest of standards. Articulate and proactive, combines a professional and confident approach with excellent interpersonal skills and can communicate concisely at all levels. Specialties: Research and Developmen http://www.portiawebsolutions.com https://cdn.slidesharecdn.com/ss_thumbnails/seminarpresentationonthethreemeansofbuilding-141210104408-conversion-gate02-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/seminar-presentation-on-the-three-means-of-building/42571478 three means of buildin... https://cdn.slidesharecdn.com/ss_thumbnails/tracingyourroot-anthonyclaret-141210104130-conversion-gate02-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/africantracing-your-root-anthony-claret/42571390 Africans: Tracing your... https://cdn.slidesharecdn.com/ss_thumbnails/iact302seminar-141210103827-conversion-gate01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/iact-302-seminar/42571290 Why Manager Should Und...