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The Analysis of Climate Change in Haiyan County
( Wenzheng Yu ),( Hanxiaoya Zhang ),( Tianliang Chen ),( Jing Liu ),( Yanbo Shen ) 한국인터넷정보학회 2020 KSII Transactions on Internet and Information Syst Vol.14 No.10
In this paper, the climate change in Haiyan County in recent decades was analyzed in detail with the methods of moving average, Mann-Kendall non-parametric mutation test and wavelet analysis. According to the variation trend of meteorological factors such as temperature, relative humidity, wind speed, pan evaporation and precipitation in recent decades, the climate of Haiyan County has a tendency of drought, which is becoming more and more serious. From the results of the analysis, the sunshine hours and the air temperature in Haiyan County have an obvious upward trend. The average surface temperature has increased by 2.75 ℃ from 1976, and its largest increase occurred in the late 1970s and 1980s. At this stage, the average surface temperature increased by 1.37 ℃. The relative humidity has a decreasing trend that has decreased by 2.75%. From 1976 to the present, there are two quasi-3a cycles and one quasi-6a cycle. The precipitation and evaporation showed the opposite change trend, in which the trend of precipitation fluctuated upward, while the trend of evaporation showed a fluctuating downward tendency, which led to the serious loss of water in the feeding area. The wind direction in Haiyan County are mainly from west to east, and its wind speed has a trend of slight increase.
A Security Protection Framework for Cloud Computing
( Wenzheng Zhu ),( Changhoon Lee ) 한국정보처리학회 2016 Journal of information processing systems Vol.12 No.3
Cloud computing is a new style of computing in which dynamically scalable and reconfigurable resources are provided as a service over the internet. The MapReduce framework is currently the most dominant programming model in cloud computing. It is necessary to protect the integrity of MapReduce data processing services. Malicious workers, who can be divided into collusive workers and non-collusive workers, try to generate bad results in order to attack the cloud computing. So, figuring out how to efficiently detect the malicious workers has been very important, as existing solutions are not effective enough in defeating malicious behavior. In this paper, we propose a security protection framework to detect the malicious workers and ensure computation integrity in the map phase of MapReduce. Our simulation results show that our proposed security protection framework can efficiently detect both collusive and non-collusive workers and guarantee high computation accuracy.
A New Approach to Web Data Mining Based on Cloud Computing
Wenzheng Zhu,Changhoon Lee 한국정보과학회 2014 Journal of Computing Science and Engineering Vol.8 No.4
Web data mining aims at discovering useful knowledge from various Web resources. There is a growing trend among companies, organizations, and individuals alike of gathering information through Web data mining to utilize that information in their best interest. In science, cloud computing is a synonym for distributed computing over a network; cloud computing relies on the sharing of resources to achieve coherence and economies of scale, similar to a utility over a network, and means the ability to run a program or application on many connected computers at the same time. In this paper, we propose a new system framework based on the Hadoop platform to realize the collection of useful information of Web resources. The system framework is based on the Map/Reduce programming model of cloud computing. We propose a new data mining algorithm to be used in this system framework. Finally, we prove the feasibility of this approach by simulation experiment.
Transfer zones within the Longmen Mountains thrust belt, SW China
Wenzheng Jin,Liangjie Tang,Keming Yang,Guimei Wan,Zhizhou Lü,Yixin Yu 한국지질과학협의회 2009 Geosciences Journal Vol.13 No.1
The Longmen Mountains thrust belt contains complex structures resulting from multi-phase tectonic movements. Field investigations and interpretations of seismic profiles reveal two important transfer zones in the thrust belt: the Anxian and Guanxian transfer zones. Many thrust and strike-slip faults are found in the shallow part of the transfer zones, and duplexes and detachment structures in the deep part. The Anxian transfer zone is located between the Jiaoziding and Jiudingshan nappes, consisting mainly of the Lower Triassic Feixianguan Formation (T1 f ) and Jianglingjiang Formation (T1 j), and Middle Triassic Leikoupo Formation (T2l). The Guanxian transfer zone is located between the Baoxing and Jiudingshan nappes, consisting mainly of Devonian, Carboniferous, Triassic, Jurassic, and Presinian rocks. This zone contains many thrust faults, strike-slip faults, and duplexes in its deeper part (where early structures have been almost completely overprinted), and many klippens are found at the surface.
Analysis on Climate Change Trend in Guangzhou Area in Recent 65 Years
Wenzheng Yu,Haitao Liu,Jin Wang 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.12
Based on the climate data and the social statistics of Guangzhou observatory from 1952 to 2014,this paper used Linear trend analysis, Morlet wavelet transform analysis, Mann-Kendall mutation test etc, to analyze the trend of climate change in Guangzhou nearly 65 years. The results showed that climatic conditions in Guangzhou in recent 65 years showed a warming and drying trend and this trend had become increasingly apparent since the 1990s. The average temperature increased at the rate of 0.153 ℃ / 10a , at the same time, the warming rate of average minimum temperature was higher than the average maximum temperature (0.15 ℃ / 10a> 0.14 ℃ / 10a). The annual precipitation had a slight increase at the rate of 37.77 mm / 10a. Under the effect of urban dry-island, the average relative humidity had a decreasing trend at the rate of 0.94% / 10a and the sunshine hours showed a decreasing trend with fluctuation.
A New Approach to Web Data Mining Based on Cloud Computing
Zhu, Wenzheng,Lee, Changhoon Korean Institute of Information Scientists and Eng 2014 Journal of Computing Science and Engineering Vol.8 No.4
Web data mining aims at discovering useful knowledge from various Web resources. There is a growing trend among companies, organizations, and individuals alike of gathering information through Web data mining to utilize that information in their best interest. In science, cloud computing is a synonym for distributed computing over a network; cloud computing relies on the sharing of resources to achieve coherence and economies of scale, similar to a utility over a network, and means the ability to run a program or application on many connected computers at the same time. In this paper, we propose a new system framework based on the Hadoop platform to realize the collection of useful information of Web resources. The system framework is based on the Map/Reduce programming model of cloud computing. We propose a new data mining algorithm to be used in this system framework. Finally, we prove the feasibility of this approach by simulation experiment.