Seminar on Internet Technologies (Summer 2019) - Revision history

Sding: /* Topics */

2019-05-29T13:30:15Z

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← Older revision		Revision as of 15:30, 29 May 2019
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	\| '''User Location Prediction based on Geo-social Networking Data (already assigned)'''		\| '''User Location Prediction based on Geo-social Networking Data (already assigned to Hussain Nauman)'''
	\| The increasing amount of user and location information in GSN makes the information overload phenomenon more and more serious. Although massive user generated data brings convenience to users' social and travel activities, it also causes certain trouble for their daily life. In this context, users are expecting smarter mobile applications, so that the location information can be employed to perceive their surrounding environment intelligently and further mine their behavior patterns in GSN, which ultimately provides personalized location-based services for users. Therefore, research on user location prediction comes into existence and have received extensive and in-depth attention from researchers. Through systematically analyzing the location data carried by user check-ins and comments, user location prediction can mine various user behavior patterns and their personal preferences, thus determining the visiting location of users in the future		\| The increasing amount of user and location information in GSN makes the information overload phenomenon more and more serious. Although massive user generated data brings convenience to users' social and travel activities, it also causes certain trouble for their daily life. In this context, users are expecting smarter mobile applications, so that the location information can be employed to perceive their surrounding environment intelligently and further mine their behavior patterns in GSN, which ultimately provides personalized location-based services for users. Therefore, research on user location prediction comes into existence and have received extensive and in-depth attention from researchers. Through systematically analyzing the location data carried by user check-ins and comments, user location prediction can mine various user behavior patterns and their personal preferences, thus determining the visiting location of users in the future
	\| Applicants should master basic knowledge on data mining		\| Applicants should master basic knowledge on data mining

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2019-05-29T13:28:46Z

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← Older revision		Revision as of 15:28, 29 May 2019
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	\| '''User Location Prediction based on Geo-social Networking Data'''		\| '''User Location Prediction based on Geo-social Networking Data (already assigned)'''
	\| The increasing amount of user and location information in GSN makes the information overload phenomenon more and more serious. Although massive user generated data brings convenience to users' social and travel activities, it also causes certain trouble for their daily life. In this context, users are expecting smarter mobile applications, so that the location information can be employed to perceive their surrounding environment intelligently and further mine their behavior patterns in GSN, which ultimately provides personalized location-based services for users. Therefore, research on user location prediction comes into existence and have received extensive and in-depth attention from researchers. Through systematically analyzing the location data carried by user check-ins and comments, user location prediction can mine various user behavior patterns and their personal preferences, thus determining the visiting location of users in the future		\| The increasing amount of user and location information in GSN makes the information overload phenomenon more and more serious. Although massive user generated data brings convenience to users' social and travel activities, it also causes certain trouble for their daily life. In this context, users are expecting smarter mobile applications, so that the location information can be employed to perceive their surrounding environment intelligently and further mine their behavior patterns in GSN, which ultimately provides personalized location-based services for users. Therefore, research on user location prediction comes into existence and have received extensive and in-depth attention from researchers. Through systematically analyzing the location data carried by user check-ins and comments, user location prediction can mine various user behavior patterns and their personal preferences, thus determining the visiting location of users in the future
	\| Applicants should master basic knowledge on data mining		\| Applicants should master basic knowledge on data mining

Jzhang: /* Topics */

2019-04-18T17:37:42Z

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← Older revision		Revision as of 19:37, 18 April 2019
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	\| '''Smart health for citizens and the role of big data'''		\| '''Smart health for citizens and the role of big data (Assigned to Tapashi Gosswami)'''
	\| Nowadays, the development of wearable devices enables people to monitor personal health related indexes like heart rate, blood pressure and sleeping time, as well as personal daily activities. The devices could record data throughout a whole day and generate large amount of data. By studying the above data of certain patients, it is possible to find out how the change of the health relevant indexes and personal activities could infect the physical condition and cause disease.		\| Nowadays, the development of wearable devices enables people to monitor personal health related indexes like heart rate, blood pressure and sleeping time, as well as personal daily activities. The devices could record data throughout a whole day and generate large amount of data. By studying the above data of certain patients, it is possible to find out how the change of the health relevant indexes and personal activities could infect the physical condition and cause disease.
	\| The student should perform a review of the medical big data for advanced diagnosis		\| The student should perform a review of the medical big data for advanced diagnosis

Yyuan: /* Topics */

2019-04-18T07:48:43Z

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← Older revision		Revision as of 09:48, 18 April 2019
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	\|'''RoMS: An intelligent monitoring system for road surface distresses inspection using smart phones (still available for three students)'''		\|'''RoMS: An intelligent monitoring system for road surface distresses inspection using smart phones (still available for three students)'''
	\| Design and develop an intelligent road condition monitoring system ~~which can be used for automatic road surface distresses detection, segmentation, assessment, localization and visualization~~.		\| Design and develop an intelligent road condition monitoring system.
	\| Basic machine learning knowledge, familiar with Python.		\| Basic machine learning knowledge, familiar with Python.
	\|[http://www.net.informatik.uni-goettingen.de/?q=people/dr-yali-yuan Yali Yuan]		\|[http://www.net.informatik.uni-goettingen.de/?q=people/dr-yali-yuan Yali Yuan]

Yyuan: /* Topics */

2019-04-17T22:37:23Z

Topics

← Older revision		Revision as of 00:37, 18 April 2019
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	\| Basic machine learning knowledge, familiar with Python.		\| Basic machine learning knowledge, familiar with Python.
	\|[http://www.net.informatik.uni-goettingen.de/?q=people/dr-yali-yuan Yali Yuan]		\|[http://www.net.informatik.uni-goettingen.de/?q=people/dr-yali-yuan Yali Yuan]
	\|[https://ieeexplore.ieee.org/abstract/document/~~8513863~~]		\|[https://ieeexplore.ieee.org/abstract/document/7297863]
	\|}		\|}

Yyuan: /* Topics */

2019-04-17T22:34:47Z

Topics

← Older revision		Revision as of 00:34, 18 April 2019
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	\|'''~~Cache Replacement in Mobile Edge Computing~~ (~~assigned to Marjan Olesch~~)'''		\|'''RoMS: An intelligent monitoring system for road surface distresses inspection using smart phones (still available for three students)'''
	\| ~~Implement the algorithm~~ for ~~cache replacement in mobile edge computing~~.		\| Design and develop an intelligent road condition monitoring system which can be used for automatic road surface distresses detection, segmentation, assessment, localization and visualization.
	\| Basic ~~networking~~ knowledge, ~~at least~~ familiar with ~~one programming language (eg. C or~~ Python).		\| Basic machine learning knowledge, familiar with Python.
	\|[http://www.net.informatik.uni-goettingen.de/?q=people/dr-yali-yuan Yali Yuan]		\|[http://www.net.informatik.uni-goettingen.de/?q=people/dr-yali-yuan Yali Yuan]
	\|[https://ieeexplore.ieee.org/abstract/document/8513863]		\|[https://ieeexplore.ieee.org/abstract/document/8513863]

Yyuan: /* Topics */

2019-04-17T22:31:37Z

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← Older revision		Revision as of 00:31, 18 April 2019
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	\| [Shuai Xu--shuai.xu@cs.uni-goettingen.de ]		\| [Shuai Xu--shuai.xu@cs.uni-goettingen.de ]
	\| [http://staff.ustc.edu.cn/~cheneh/paper_pdf/2015/Yingzi-Wang-KDD.pdf][https://www.sciencedirect.com/science/article/pii/S1084804518300444][https://www.aaai.org/ocs/index.php/AAAI/AAAI16/paper/viewPaper/11900][https://ieeexplore.ieee.org/abstract/document/7498303]		\| [http://staff.ustc.edu.cn/~cheneh/paper_pdf/2015/Yingzi-Wang-KDD.pdf][https://www.sciencedirect.com/science/article/pii/S1084804518300444][https://www.aaai.org/ocs/index.php/AAAI/AAAI16/paper/viewPaper/11900][https://ieeexplore.ieee.org/abstract/document/7498303]
			\|
			\|-
			\|'''Cache Replacement in Mobile Edge Computing (assigned to Marjan Olesch)'''
			\| Implement the algorithm for cache replacement in mobile edge computing.
			\| Basic networking knowledge, at least familiar with one programming language (eg. C or Python).
			\|[http://www.net.informatik.uni-goettingen.de/?q=people/dr-yali-yuan Yali Yuan]
			\|[https://ieeexplore.ieee.org/abstract/document/8513863]
	\|}		\|}

Sding: /* Topics */

2019-04-17T15:35:55Z

Topics

← Older revision		Revision as of 17:35, 17 April 2019
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	\| '''A survey of 5G (assigned to Hu)'''		\| '''A survey of 5G (assigned to Hu)'''
	\| Reading papers about 5G, especially its influence on big data and give a survey		\| Reading papers about 5G, especially its influence on big data and give a survey
			\|
			\| [Shichang Ding--sding@gwdg.de]
			\|
			\|-
			\| '''A survey of human mobility and deep learning (assigned to Sun)'''
			\| Reading papers about HM and DL and give a survey
	\|		\|
	\| [Shichang Ding--sding@gwdg.de]		\| [Shichang Ding--sding@gwdg.de]

Sding: /* Topics */

2019-04-17T15:32:10Z

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← Older revision		Revision as of 17:32, 17 April 2019
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	\|{{Hl2}} \|'''Initial Readings'''		\|{{Hl2}} \|'''Initial Readings'''
	\|-		\|-
	\| '''A survey of 5G'''		\| '''A survey of 5G (assigned to Hu)'''
	\| Reading papers about 5G, especially its influence on big data and give a survey		\| Reading papers about 5G, especially its influence on big data and give a survey
	\|		\|

Yyuan: /* Topics */

2019-04-17T15:13:37Z

Topics

← Older revision		Revision as of 17:13, 17 April 2019
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	\|[http://www.net.informatik.uni-goettingen.de/?q=people/yachao-shao Yachao Shao]		\|[http://www.net.informatik.uni-goettingen.de/?q=people/yachao-shao Yachao Shao]
	\|-		\|-
	\|'''Cache Replacement in Mobile Edge Computing (~~selected by~~ Marjan Olesch		\|'''Cache Replacement in Mobile Edge Computing (assigned to Marjan Olesch)'''
	)'''
	\| Implement the algorithm for cache replacement in mobile edge computing.		\| Implement the algorithm for cache replacement in mobile edge computing.
	\| Basic networking knowledge, at least familiar with one programming language (eg. C or Python).		\| Basic networking knowledge, at least familiar with one programming language (eg. C or Python).