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Nanjing, China

Nanjing College for Population Programme Management is so "population science" features, to manage and economics-oriented disciplines, both laws, arts, science and other subjects; of Ministry, based in Jiangsu, students nationwide in institutions of higher learning. The college has been a national population and family planning cadre base for training senior management. It is also the United Nations designated senior officer training base. Wikipedia.


Zhu Y.,Nanjing University | Zhu Y.,Nanjing College for Population Programme Management
Journal of Convergence Information Technology | Year: 2012

This paper proposes a resource allocation algorithm for calculation based on ant-colony optimization in cloud computing environment. When allocating the computing resources, we should firstly predict the potential computing quality on each available node. Then, according to the feature of the cloud-computing environment, we have to analyze the effects for allocation influenced by factors such as the bandwidth, line quality, response time, and so on. With the application of Ant Colony Optimization, we can obtain a set of optimal computing resources. Through simulation analysis and comparison in Gridsim environment, this algorithm, meeting the computation requirements in a cloud-computing environment, has advantages of being of a shorter response time and a better quality than some other grid allocation algorithms. In this condition, this algorithm is much more suitable in cloud environments. Source


Marinakis D.,University of Victoria | Wu K.,University of Victoria | Ye N.,University of Victoria | Ye N.,Nanjing College for Population Programme Management | Whitesides S.,University of Victoria
IEEE Transactions on Wireless Communications | Year: 2012

In this paper, we examine the merit of a simple and lightweight stochastic transmission strategy based on the ALOHA protocol for underwater wireless sensor networks (UWSNs). We use a stochastic scheduling approach in which time is slotted, and each network component transmits according to some probability during each slot. We present objective functions for assigning the transmission probabilities that are aimed at optimizing network performance with respect to the overall network latency and the overall network reliability. We show that there is an easily distributed heuristic policy based on local network density that works well in practice. We also evaluate our approach using numerical simulations. The evaluation results show that even without using explicit control signaling, our lightweight stochastic scheduling method is effective for data transmission in underwater sensor networks. © 2012 IEEE. Source


Ma S.,Nanjing University of Posts and Telecommunications | Wang R.,Nanjing University of Posts and Telecommunications | Ye N.,Nanjing College for Population Programme Management
Jisuanji Yanjiu yu Fazhan/Computer Research and Development | Year: 2011

Wireless sensor networks is a kind of self-organizing networks which consist of large numbers of low-cost and low-power tiny sensor nodes that can communicate with each other to perform sensing, processing and storing sensed data cooperatively. In order to effectively reduce the amount of data transmission to cut down the overall energy consumption based on the strict energy limitations in wireless sensor networks, and simultaneously guarantee the security of sensed data aggregation, a secure data aggregation algorithm based on set pair analysis of sensor node reputations is presented. The employment of subtractive clustering method based on density function during the node clustering phase results in faster clustering speed, more reasonable cluster head distribution, and more preferable cluster size. In the phase of data transmission, the selection of next hop node is modeled as a multiple attribute decision making process. The networks data stream therefore obtains equilibrium and safety by virtue of the comprehensive evaluation of the multifold cluster head attributes (reputations, energy, etc) and the obtainment of optimal cluster head for relaying the aggregated data. Simulation results show that the proposed algorithm is superior to similar data aggregation algorithms such as LEACH algorithm and BTSR algorithm in aggregation precision, aggregation security, and cluster head energy consumption. Source


Feng Y.,Nanjing University of Science and Technology | Feng Y.,Nanjing College for Population Programme Management | Lu J.,Nanjing Normal University | Xu S.,Nanjing University of Science and Technology | Zou Y.,Nanjing University of Science and Technology
Journal of the Franklin Institute | Year: 2013

This paper considers the couple-group consensus problem for multi-agent networks with fixed and directed communication topology, where all agents are described by discrete-time second-order dynamics. Consensus protocol is designed such that some agents in a network reach a consistent value, while other agents reach another consistent value. The convergence of the system matrix is discussed based on the tools from matrix theory. An algebraic condition is established to guarantee couple-group consensus. Moreover, for a given communication topology, a theorem is derived on how to select proper control parameters and sampling period for couple-group consensus to be reached. Finally, simulation examples are presented to validate the effectiveness of the theoretical results. © 2013 The Franklin Institute. Source


Shou-ming M.,Nanjing University of Posts and Telecommunications | Ru-chuan W.,Nanjing University of Posts and Telecommunications | Ning Y.,Nanjing College for Population Programme Management
International Journal of Digital Content Technology and its Applications | Year: 2011

With the increasing number of the aging populations across the world, we now face the intractable challenge of providing a better healthcare support for the elderly. Pervasive and context-aware applications have been widely recognized as a promising solution for improving the life quality of the elderly and their family members. In this paper, we present our design and implementation of a context-aware middleware infrastructure for elderly health monitoring and alerting through a widespread deployment of wireless sensor networks and mobile computing devices in the smart family environments. In order to enable proactiveness in applications and services, we especially propose a context prediction scheme by set pair analysis (SPA) method. We have developed a primary prototype system for performance evaluation and functional demonstration of the middleware infrastructure in our research laboratory. The results of the prototype system prove that the middleware infrastructure is efficient and the context prediction scheme is comparatively accurate. Source

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