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| 1 | A Distributed Approach of Big Data Mining for Financial Fraud Detection in a Supply Chain显示文摘Supply Chain Finance(SCF)is important for improving the effectiveness of supply chain capital operations and reducing the overall management cost of a supply chain.In recent years,with the deep integration of supply chain and Internet,Big Data,Artificial Intelligence,Internet of Things,Blockchain,etc.,the efficiency of supply chain financial services can be greatly promoted through building more customized risk pricing models and conducting more rigorous investment decision-making processes.However,with the rapid development of new technologies,the SCF data has been massively increased and new financial fraud behaviors or patterns are becoming more covertly scattered among normal ones.The lack of enough capability to handle the big data volumes and mitigate the financial frauds may lead to huge losses in supply chains.In this article,a distributed approach of big data mining is proposed for financial fraud detection in a supply chain,which implements the distributed deep learning model of Convolutional Neural Network(CNN)on big data infrastructure of Apache Spark and Hadoop to speed up the processing of the large dataset in parallel and reduce the processing time significantly.By training and testing on the continually updated SCF dataset,the approach can intelligently and automatically classify the massive data samples and discover the fraudulent financing behaviors,so as to enhance the financial fraud detection with high precision and recall rates,and reduce the losses of frauds in a supply chain. | Hangjun Zhou Guang Sun Sha Fu Xiaoping Fan Wangdong Jiang Shuting Hu Lingjiao Li | 2020 | Computers, Materials & Continua2020，，8： | 3 |
| 2 | Superscalar communication: A runtime optimization for distributed applications显示文摘Building distributed applications is difficult mostly because of concurrency management. Existing approaches primarily include events and threads. Researchers and developers have been debating for decades to prove which is superior. Although the conclusion is far from obvious, this long debate clearly shows that neither of them is perfect. One of the problems is that they are both complex and error-prone. Both events and threads need the programmers to explicitly manage concurrencies, and we believe it is just the source of difficulties. In this paper, we propose a novel approach—superscalar communication, in which concurrencies are automatically managed by the runtime system. It dynamically analyzes the programs to discover potential concurrency opportunities; and it dynamically schedules the communication and the computation tasks, resulting in automatic concurrent execution. This approach is inspired by the idea of superscalar technology in modern microprocessors, which dynamically exploits instruction-level parallelism. However, hardware superscalar algorithms do not fit software in many aspects, thus we have to design a new scheme completely from scratch. Superscalar communication is a runtime extension with no modification to the language, compiler or byte code, so it is good at backward compatibility. Superscalar communication is likely to begin a brand new research area in systems software, which is characterized by dynamic optimization for networking programs. | LI HuiBa , LIU ShengYun, PENG YuXing, LI DongSheng, ZHOU HangJun & LU XiCheng National Laboratory for Parallel and Distributed Processing, National University of Defense Technology, Changsha 410073, China | 2010 | Science China(Information Sciences)2010，53，10： | 2 |
| 3 | Effects of short-term anoxic treatment on antioxidant ability and membrane integrity of postharvest kiwifruit during storage显示文摘 | Lili Song Haiyan Gao Hangjun Chen Jinlin Mao Yongjun Zhou Wenxuan Chen Yueming Jiang | 2008 | Food Chemistry2008，，： | 2 |
| 4 | Study on the performance evaluation of scientific innovation team in universities based on gray fuzzy theory显示文摘 | Fu Sha Zhou Hangjun Song Dan | 2013 | Information Technology Journal2013，12，4： | 1 |
| 5 | Preparation and upconversion emission properties of Yb, Er co-doped Y 2 Ti 2 O 7 upconversion inverse opal显示文摘 | Zhengwen Yang Jialun Zhu Dong Yan Hangjun Wu Rongfei Wang Zhiguo Song Xue Yu Yong Yang Dacheng Zhou Zhaoyi Yin Jianbei Qiu | 2012 | Optical Materials2012，，： | 1 |
| 6 | Survey of Knowledge Graph Approaches and Applications显示文摘With the advent of the era of big data,knowledge engineering has received extensive attention.How to extract useful knowledge from massive data is the key to big data analysis.Knowledge graph technology is an important part of artificial intelligence,which provides a method to extract structured knowledge from massive texts and images,and has broad application prospects.The knowledge base with semantic processing capability and open interconnection ability can be used to generate application value in intelligent information services such as intelligent search,intelligent question answering and personalized recommendation.Although knowledge graph has been applied to various systems,the basic theory and application technology still need further research.On the basis of comprehensively expounding the definition and architecture of knowledge graph,this paper reviews the key technologies of knowledge graph construction,including the research progress of four core technologies such as knowledge extraction technology,knowledge representation technology,knowledge fusion technology and knowledge reasoning technology,as well as some typical applications.Finally,the future development direction and challenges of the knowledge graph are prospected. | Hangjun Zhou Tingting Shen Xinglian Liu Yurong Zhang Peng Guo Jianjun Zhang | 2020 | Journal on Artificial Intelligence2020，2，2： | 1 |
| 7 | 显示文摘 | Ding Hangjun Zhu Changjin Zhou Zhiming | 2006 | Macromol Chem Phys2006，207，： | 1 |
| 8 | 短期氮处理(缺氧处理)对采后猕猴桃贮藏过程中抗氧化能力和质膜完整性的影响显示文摘将猕猴桃用氮气处理6 h后,在(1±1)℃、相对湿度为95%~100%条件下贮藏35 d,最后在20℃下放置3 d,测定果实硬度、质膜透性、硫代巴比妥酸反应产物(TBARS)、过氧化氢含量、超氧阴离子生成速率、脂氧合酶(LOX)、超氧化物歧化酶(SOD)和过氧化物酶(POD)的活性。 | Lili Song Haiyan Gao Hangjun Chen Jinlin Mao Yongjun Zhou Wenxuan Chen Yueming Jiang | 2010 | 保鲜与加工2010，10，6： | 1 |
| 9 | A Distributed LRTCO Algorithm in Large-Scale DVE Multimedia Systems显示文摘In the large-scale Distributed Virtual Environment(DVE)multimedia systems,one of key challenges is to distributedly preserve causal order delivery of messages in real time.Most of the existing causal order control approaches with real-time constraints use vector time as causal control information which is closely coupled with system scales.As the scale expands,each message is attached a large amount of control information that introduces too much network transmission overhead to maintain the real-time causal order delivery.In this article,a novel Lightweight Real-Time Causal Order(LRTCO)algorithm is proposed for large-scale DVE multimedia systems.LRTCO predicts and compares the network transmission times of messages so as to select the proper causal control information of which the amount is dynamically adapted to the network latency variations and unconcerned with system scales.The control information in LRTCO is effective to preserve causal order delivery of messages and lightweight to maintain the real-time property of DVE systems.Experimental results demonstrate that LRTCO costs low transmission overhead and communication bandwidth,reduces causal order violations efficiently,and improves the scalability of DVE systems. | Hangjun Zhou Guang Sun Sha Fu Wangdong Jiang Tingting Xie Danqing Duan | 2018 | Computers, Materials & Continua2018，，7： | 0 |
| 10 | Expanding Hot Code Path for Data Cleaning on Software Graph显示文摘Graph analysis can be done at scale by using Spark GraphX which loading data into memory and running graph analysis in parallel.In this way,we should take data out of graph databases and put it into memory.Considering the limitation of memory size,the premise of accelerating graph analytical process reduces the graph data to a suitable size without too much loss of similarity to the original graph.This paper presents our method of data cleaning on the software graph.We use SEQUITUR data compression algorithm to find out hot code path and store it as a whole paths directed acyclic graph.Hot code path is inherent regularity of a program.About 10 to 200 hot code path account for 40%-99%of a program’s execution cost.These hot paths are acyclic contribute more than 0.1%-1.0%of some execution metric.We expand hot code path to a suitable size which is good for runtime and keeps similarity to the original graph. | Guang Sun Xiaoping Fan Wangdong Jiang Hangjun Zhou Fenghua Li Rong Yang | 2020 | Computers, Materials & Continua2020，，5： | 0 |
| 11 | Fluid flow in charged nanotubes显示文摘The dynamics of fluid flow through nanochannels is different from those in macroscopic systems.By using the molecular dynamics simulations,we investigate the influence of surface polarity of nanotube on the transport properties of the water fluid.The nanotube used here resembles the carbon nanotube,but carries charges of q on some atoms;overall,the nanotube is charge-neutral.Our simulation results show that water flux decreases sharply with the increasing of q for q < 1.6 e;however,the water flux for shells far away from nanotube wall increases slightly when q > 1.6 e.The mechanism behind the interesting phenomenon is discussed.Our findings may have implications for development of nano-fluidic devices and for understanding the movement of confined fluid inside the hydrophilic nanochannel. | Xiaofeng Yang Mei Feng Yanyan Chen Hangjun Lu Xiaoyan Zhou | 2013 | Theoretical & Applied Mechanics Letters2013，3，3： | 0 |
| 12 | A MPTCP Scheduler for Web Transfer显示文摘Multipath TCP(MPTCP)is the most significant extension of TCP that enables transmission via multiple paths concurrently to improve the resource usage and throughput of long flows.However,due to the concurrent multiple transfer(CMT)in short flow trans-mission,the congestion window(cwnd)of each MPTCP subflow is too small and it may lead to timeout when a single lost packet cannot be recovered through fast retransmission.As a result,MPTCP has even worse performance for short flows compared to regular TCP.In this paper,we take the first step to analyze the main reason why MPTCP has the diminished performance for short flows,and then we propose M PTCP-SF,which dynamically adjusts the number of subflows for each flow.In particular,MP TCP-SF firstly analyzes the distribution characteristics of the web objects to extract two thresholds to be used for classifying each flow.After eceiving each new ACK,M PTCP-SF periodically counts the data being sent based on per-flow and uses the threshold to classify the we blows.Finally,MPTCP-SF dynamically switches path scheduling model for different classification flows.We conduct extensive experiments in NS3 to evaluate its efficiency.Our evaluation proves that MPTCP-SF decreases the completion time of short flows by over 42.64% com-pared to MPTCP,and the throughput achieved by MPTCP-SF in transmitting long flows is about 11.11%higher than that of MPTCP in a WLAN/LTE wireless network.The results successfully validate the improved performance of MPTCP-SF. | Wenjun Yang Pingping Dong Wensheng Tang Xiaoping Lou Hangjun Zhou Kai Gao Haodong Wang | 2018 | Computers, Materials & Continua2018，，11： | 0 |
| 13 | An Ui Design Optimization Strategy for General App in Big Data Environment显示文摘Due to the huge amount of increasing data, the requirements of people forelectronic products such as mobile phones, tablets, and notebooks are constantlyimproving. The development and design of various software applications attach greatimportance to users’ experiences. The rationalized UI design should allow a user not onlyenjoy the visual design experience of the new product but also operating it morepleasingly. This process is to enhance the attractiveness and performance of the newproduct and thus to promote the active usage and consuming conduct of users. In thispaper, an UI design optimization strategy for general APP in the big data environment isproposed to get better user experience while effectively obtaining information. Anexperimental example of a library APP is designed to optimize the user experience. Theexperimental results show that the user-centered UI design is the core of optimization,and user portrait based on big data platforms is the key to UI design. | Hangjun Zhou Jieyu Zhou Guang Sun Wangdong Jiang Chuntian Luo Xiaoping Fan Haowen Zhang Haoran Zhang | 2019 | Journal of Quantum Computing2019，1，2： | 0 |
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