Ouyang W.,Shanghai University of Political Science and Law
2016 3rd International Conference on Systems and Informatics, ICSAI 2016 | Year: 2016
Sequential pattern is one of most important topics in researching on data mining and knowledge discovery. Traditional algorithms for mining sequential patterns have two limitations, the first one is only frequent sequence to be considered, and the second one is restricted to the static environment of data set. However, some infrequent patterns can also uncover very interesting knowledge from the data set such as rare sequential pattern. To my best knowledge, current researches on rare sequential patterns are limited to the static database environment, and there is no research work for mining rare sequential patterns over data streams. The author propose an algorithm for mining rare sequential patterns over data streams with a slide window in this paper. Experiments on the synthetic data stream shows that the proposed algorithm is efficient and scalable. © 2016 IEEE.
Hu S.,Shanghai University of Political Science and Law
Proceedings - 2016 International Conference on Robots and Intelligent System, ICRIS 2016 | Year: 2016
We live in the era of big data. Big data generates immense economic and social valne. Advances in data collection and the massive increase in clond compnting power are making technologies to effectively analyze large sets of heterogeneous data ubiquitous. Despite all the benefits of big data, the rise of "Big Data Analytics" in the private sector poses new challenges for privacy advocates. This paper discnsses essential technologies and challenges related to big data analytics, namely (i) definition of big data analytics; (ii) essential technologies related to the big data analytics, with particular reference to the clond computing, and hydoop etc.; (Hi) risks arising from big data analytics, especially privacy harm. © 2016 IEEE.
Hu S.,Shanghai University of Political Science and Law
Proceedings - 2014 6th International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2014 | Year: 2014
Cloud computing is the fundamental change happening in the field of Information Technology. It is a representation of a movement towards the intensive, large scale specialization. On the other hand, it brings about not only convenience and efficiency problems, but also great challenges in the field of data security and privacy protection. Currently, security has been regarded as one of the greatest problems in the development of Cloud Computing. This paper describes the great requirements in Cloud Computing, such as security key technology, standard and regulation etc., and discusses ways in which they may be addressed. © 2014 IEEE.
Pan X.,Shanghai University of Political Science and Law
2016 IEEE/ACIS 17th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2016 | Year: 2016
In recent years, advances in digital sensors, communication, computation and storage have created huge collections of data. Many real applications in various fields require efficient and effective management of these large-scale, graph-structured data, demanding the design of new techniques and platforms for analyzing, processing and mining these large-scale graphs. There are distributed graph processing platforms running on a cluster of machines as well as non-distributed platforms working on a single machine. Most of the platforms use homogeneous processors such as multi-core CPUs while several platforms utilize both multi-core CPUs and many-core GPUS. The diversities of the available graphs, the processing algorithms, and the graph-processing platforms make the selection of a platform a difficult task. In this paper, we provide a comparative study on a selection of open-source graph processing platforms. We evaluate their performance, scalability and energy efficiency and discuss the reasons behind for designers or users of graph processing platforms. © 2016 IEEE.
Li L.,Shanghai University of Political Science and Law
Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE | Year: 2016
With the advent of the big data age, more and more resources about foreign language learning are put on the Web and open to the public, which brings trouble on the foreign language learners in acquiring these unfamiliar learning resources effectively and efficiently. To solve the problem, this paper proposes a method of organizing the learning resources in the form of knowledge flow network and provides learners with learning resources in the form of knowledge flow. Compared with other semantic organizations of resources, the proposed knowledge flow-based organization of resources not only helps the learners obtain the target resources properly but also displays them the study route related to the target resources. Experimental results indicate that the proposed method can improve the utilization rate of learning resources and the efficiency of Foreign Language Learning. Copyright © 2016 by KSI Research Inc. and Knowledge Systems Institute Graduate School.
Li H.,Shanghai University of Political Science and Law
2012 2nd International Conference on Consumer Electronics, Communications and Networks, CECNet 2012 - Proceedings | Year: 2012
How to understand, manage and control Object-Oriented software complexity is a great challenge for software engineering. Recent research achievements in software engineering introduce complex network theory to explore structural complexity. These achievements emphasize understanding Object-Oriented software system as a whole structure instead of focusing on local codes and behaviors. A common way to define software network is based on static structural properties. However, for real-time is a primary characteristic of software system, and polymorphism, dynamic binding, and the unused codes present in software system, the static structural properties are imprecise as they do not perfectly reflect the actual code taking place among classes. This paper describes the reason that software complexity can precisely measured based on dynamic analysis of systems and refers the means to analyze dynamic characteristic of software system structure as complex network. © 2012 IEEE.
Wu J.,Shanghai University of Political Science and Law
Applied Engineering Sciences - Proceedings of the AASRI International Conference on Applied Engineering Science, ICAES 2014 | Year: 2015
With the development of network techniques and professional analysis technology equipment in the Big Data era, sources, analysis and application of Competitive Sport Intelligence has undergone great changes. The data derives from an extensive, professional and comprehensive manner. Intelligence Analysis is in favour of more reliance on Professional Software System Analysis instead of Manual Analysis, relying on personal experiences, which make the analysis faster and more accurate © 2015 Taylor & Francis Group, London.
Wu Y.,Shanghai University of Political Science and Law
Mathematical and Computational Applications | Year: 2010
Partial differential equations are transformed into ordinary differential equations, and a variational formulation is then established. The trial function is chosen using Jacobi-elliptic function with some unknown parameters similar to the exp-function method. Various approximate solitary solutions are obtained when making the obtained variational principle stationary with respect to each unknown parameter in the trial-function. The coupled Zakharov-Kuznetsov equations are used as an example to elucidate the solution procedure. © Association for Scientific Research.
News Article | December 27, 2016
China could become the first country to soft land a probe on the far side of the moon. If its plans would be successful, the feat would highlight the advances that China has made in the field of space technology. In a white paper titled "China's Space Activities in 2016," China said that it will accelerate the development of its space industry as it aims to become the first country to soft land a probe on the far side of the moon as early as 2018. It also plans to launch its first Mars probe by 2020. The paper, which was released by the information office of China's Cabinet on Tuesday, Dec. 27, sets outs the space strategy of the country for the next five years. It says that China's goal is to use space for peaceful purposes, ensure national security and carry out cutting-edge scientific research. China has already landed a rover on the lunar surface in the past but it aims to explore the dark side of the moon to carve out a niche for itself since this has not yet been done by other countries. The mission to send a probe on the dark side of the moon would involve the lunar probe Chang'e-4, which the white paper said will conduct in situ and roving detection, as well as transmit communication at earth-moon L2 point. The paper said that the Chang'e-4 lunar probe will provide more information on how the Earth's natural satellite formed and evolved. "Geological survey and research as well as low-frequency radio astronomy observation and research will be carried out targeting the landing area on the far side of the moon for a better understanding of the formation and evolution of the moon," the paper read. Space security expert He Qisong, from the Shanghai University of Political Science and Law, said that achieving the first soft landing on the far side of the moon is a new goal that indicates China has mastered the necessary technology to land a probe on a specific area of the moon. Last month, two Chinese astronauts spent a month in space aboard the Tiangong-2 experimental space station. It was China's longest manned mission. The country is also set to start the operation of a permanently crewed space station six years from now. © 2017 Tech Times, All rights reserved. Do not reproduce without permission.
News Article | December 28, 2016
China on Tuesday, Dec. 27, released a white paper on its planned space activities for the next five years. The paper, titled "China's Space Activities in 2016," revealed China's ambitious plans for deep space exploration, space science projects and human spaceflight. China's ambitious plans include landing a probe on the far side of the moon in 2018 and launching a probe to planet Mars by 2020. Although other countries and China itself have already landed a rover on the lunar surface, the country's planned lunar mission would be the first to explore the dark side of the moon. Space security expert He Qisong, from the Shanghai University of Political Science and Law, said that the planned lunar mission shows that China has the required technology to land a probe on a particular area of the moon. As for the plan to launch the first Mars-bound probe by 2020, China said that it would explore and bring back samples from the red planet. The country hopes to conduct studies into major scientific questions which include the origin and evolution of the solar system and the search for alien life. Much, however, is still unknown regarding the Mars mission. China has not yet released information on what the Mars probe would look like, how it will work and the date of the actual launch. The target year for the Mars mission though is 2020. "The Chinese government takes the space industry as an important part of the nation's overall development strategy, and adheres to the principle of exploration and utilization of outer space for peaceful purposes," the white paper reads. Russia and the United States have more experience when it comes to manned space travel but China's space program has made strides in recent years. Its recent space missions show impressive developments in its space technology. Last month two of its astronauts, Chen Dong and Jing Haipeng, returned from a month-long stay aboard China's Tiangong-2 experimental space station. On Dec. 22, the country sent the satellite TanSat into space onboard the Long March-2D rocket. The satellite was designed to measure the greenhouse gas emissions in the atmosphere that can help in scientific research. The China Academy of Space Technology has also revealed it is working on a prototype of EmDrive space propulsion technology. © 2017 Tech Times, All rights reserved. Do not reproduce without permission.