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Studying the Eradication of Ebola through the Propagation Modelling and Vaccine Delivery Evaluation
Shuoping Wang,Xueyong Yu,Honghao Gao 보안공학연구지원센터 2016 International Journal of u- and e- Service, Scienc Vol.9 No.12
Ebola is a disease of humans and other primates caused by Ebola viruses. This disease has a high risk of death, killing between 25 and 90 percent of those infected, with an average of about 50 percent. Ebola has become one of the most horrible threats to human beings. In this paper, we develop accurate propagation model of Ebola in order to understand its spread dynamics. In the modeling, human beings are of three exclusive states: ‘Susceptible’, ‘Infected’ and ‘Recovered’. We evaluate the proposed model according to Ebola’s data published by WHO. The experiment results suggest that our model can accurately present the Ebola propagation dynamics in Guinea, Liberia and Sierra Leone. We further study the optimal vaccine delivery strategies in order to restrain the outbreaks of Ebola. When human beings are in short of vaccines, the proposed model analyses the delivery destination, the tendency of Ebola’s propagation, locations of medical centers and labs, and the conditions of patients. According to Ebola’s data from WHO, the model identifies seven cities as the optimal venues to start the vaccine delivery. The work in this paper greatly benefits the eradication of Ebola when it outbreaks in our society.
Live Media Streaming in VANETs using Traffic Flow
Shuoping Wang,Zhipeng Wang,Jun Liu,Honghao Gao,Meng Kuai 보안공학연구지원센터 2015 International Journal of Multimedia and Ubiquitous Vol.10 No.1
Multimedia streaming is a trend in VANETs infotainment service with establishment of infrastructure and communication standards. This paper considers the scenario of live multimedia streaming multicast to vehicles. We propose the relay selection scheme to deliver media streaming with stable link to improve QoS (quality of service). Through evaluation, our proposed scheme is able to have video delivered with a satisfying delay and acceptable loss ratio.
Position-based Data Dissemination to Interested Region in VANETs
Shuoping Wang,Meng Kuai,Honghao Gao 보안공학연구지원센터 2014 International Journal of Grid and Distributed Comp Vol.7 No.5
Vehicular Ad-hoc Networks (VANETs) are expected to provide assistance to various applications, such as accident broadcast or emergency notification. Some kinds of applications need data to be delivered in a certain region by geocast, which means disseminating information in a specific area, instead of using a certain IP address. In this paper, we propose a data dissemination protocol for VANETs, which delivers data to all the vehicles in an interested region. We assume each vehicle is equipped with GPS and DSRC devices. Our simulation results show that this data dissemination protocol can contribute to high delivery ratio. Also, it performs well in adaptability during heavy traffic.
Auto-reconstruction of Shredded Document based on Matching Models
Mengmeng Yu,Pinjie Ye,Shuoping Wang,Honghao Gao 보안공학연구지원센터 2015 International Journal of u- and e- Service, Scienc Vol.8 No.12
Shredding auto-reconstruction is a hot research topic in pattern recognition. The research progress can produce certain effect to various fields. The purpose of this paper is to study shredding auto-reconstruction based on regular shredded document from shredders, to obtain a practical and efficient splicing algorithm to auto- reconstruction of strip shaped shredded text documents and block shapedshredded text documents. For strips, this paper uses the pretreatment, the similarity matching model, combined with the optimalHamilton path algorithm, for which we get a good result with 100% correct rate and no human intervention. For blocks, first, this paper pretreats the fragments. And then uses the row cluster model to divide all debris to some rows, and then uses the similarity model with direct reverse matching model to achieve the shredding auto-restore in different rows. At last, we use line spacing matching model to get the result that has a high correct rate reaching to 90% with little human intervention. In this paper, the design of some algorithms is original. Combined with the present feasible algorithm, we get an ideal result.