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| 1 | Polymer-based EMI shielding composites with 3D conductive networks:A mini-review显示文摘High-frequency electromagnetic waves and electronic products can bring great convenience to people’s life,but lead to a series of electromagnetic interference(EMI)problems,such as great potential dangers to the normal operation of elec-tronic components and human safety.Therefore,the research of EMI shield-ing materials has attracted extensive attention by the scholars.Among them,polymer-based EMI shielding materials with light weight,high specific strength,and stable properties have become the current mainstream.The construction of 3D conductive networks has proved to be an effective method for the prepara-tion of polymer-based EMI shielding materials with excellent shielding effective-ness(SE).In this paper,the shielding mechanism of polymer-based EMI shield-ing materials with 3D conductive networks is briefly introduced,with emphasis on the preparation methods and latest research progress of polymer-based EMI shielding materials with different 3D conductive networks.The key scientific and technical problems to be solved in the field of polymer-based EMI shielding materials are also put forward.Finally,the development trend and application prospects of polymer-based EMI shielding materials are prospected. | Lei Wang Zhonglei Ma Yali Zhang Lixin Chen Dapeng Cao Junwei Gu | 2021 | SusMat2021，1，3： | 22 |
| 2 | Reversing drug resistance of soft tumor-repopulating cells by tumor cell-derived chemotherapeutic microparticles显示文摘颠倒使人重新住入肿瘤的房间(TRC ) 的药抵抗或起源的发展中的新奇途径像房间的癌症房间是迫切临床的需要改进癌症病人的结果。这里,我们显示出用肿瘤颠倒 TRC 的药抵抗的一条创新途径包含反肿瘤药的导出房间的 microparticles (T-MPs ) 。由比区分的癌症房间更可变形的优点, TRC 优先地收起 T-MPs 在进入房间以后释放反肿瘤药,它接着导致 TRC 的死亡。内在的机制包括防碍药流出并且支持这些药的原子入口。我们的调查结果在用有希望的临床的应用程序颠倒 TRC 的药抵抗在 T-MPs 的举起和一条新奇途径的有效性表明肿瘤房间柔软的重要性。 | Jingwei Ma Yi Zhang Ke Tang Huafeng Zhang Xiaonan Yin Yong Li Pingwei Xu Yanling Sun Ruihua Ma Tiantian Ji Junwei Chen Shuang Zhang Tianzhen Zhang Shunqun Luo Yang Jin Xiuli Luo Chengyin Li Hongwei Gong Zhixiong Long Jinzhi Lu Zhuowei Hu Xuetao Cao Ning Wang Xiangliang Yang Bo Huang | 2016 | Cell Research2016，26，6： | 17 |
| 3 | An Integrated Cyber-Physical Simulation Environment for Smart Grid Applications显示文摘The concept of Cyber-Physical Systems(CPSs),which combine computation,networking,and physical processes,is considered to be beneficial to smart grid applications. This study presents an integrated simulation environment to provide a unified platform for the investigation of smart grid applications involving power grid monitoring,communication,and control. In contrast to the existing approaches,this environment allows the network simulator to operate independently,importing its results to the power system simulation. This resolves conflicts between discrete event simulation and continuous simulation. In addition,several data compensation methods are proposed and investigated under different network delay conditions. A case study of wide-area monitoring and control is provided,and the efficiency of the proposed simulation framework has been evaluated based on the experimental results. | Yuxin Wan Junwei Cao Shuqing Zhang Guoyu Tu Chao Lu Xingtao Xu Keqin Li | 2014 | Tsinghua Science and Technology2014，19，2： | 13 |
| 4 | Anomalous microstructure and tribological evaluation of AlCrFeNiW_(0.2)Ti_(0.5)high-entropy alloy coating manufactured by laser cladding in seawater显示文摘To evaluate the potential of high entropy alloys for marine applications,a new high entropy alloy coating of AlCrFeNiW_(0.2)Ti_(0.5)was designed and produced on Q235 steel via laser cladding.The microstructure,microhardness and tribological performances sliding against YG6 cemented carbide,GCr15 steel and Si_(3)N_(4)ceramic in seawater were studied in detail.The AlCrFeNiW_(0.2)Ti_(0.5)coating showed an anomalous’sunflower-like’morphology and consisted of BCC and ordered B2 phases.The microhardness was approximately 692.5 HV,which was 5 times higher than substrate.The coating showed more excellent tribological performances than Q235 steel and SUS304,a typical material used in seawater environment,sliding against all three coupled balls in seawater.Besides,the wear and friction of AlCrFeNiW_(0.2)Ti_(0.5)coating sliding against YG6 in seawater were most mild.The main reason was the generation of Mg(OH)_(2),CaCO_(3),metal oxides and hydroxides and the formation of protective tribo-film on the worn surface of AlCrFeNiW_(0.2)Ti_(0.5)coating in the process of reciprocated sliding.This would effectively hinder the direct contact between the worn surfaces of AlCrFeNiW_(0.2)Ti_(0.5)coating and YG6 ball,resulting in a decrease of friction coefficient and wear rate.Thus the YG6 was an ideal coupled material for AlCrFeNiW_(0.2)Ti_(0.5)coating in seawater,and the coating would become a promising wear-resisting material in ocean environment. | Hui Liang Dongxu Qiao Junwei Miao Zhiqiang Cao Hui Jiang Tongmin Wang | 2021 | Journal of Materials Science & Technology2021，，26： | 8 |
| 5 | Cloud Computing-Based Forensic Analysis for Collaborative Network Security Management System显示文摘Internet security problems remain a major challenge with many security concerns such as Internet worms, spam, and phishing attacks. Botnets, well-organized distributed network attacks, consist of a large number of bots that generate huge volumes of spam or launch Distributed Denial of Service (DDoS) attacks on victim hosts. New emerging botnet attacks degrade the status of Internet security further. To address these problems, a practical collaborative network security management system is proposed with an effective collaborative Unified Threat Management (UTM) and traffic probers. A distributed security overlay network with a centralized security center leverages a peer-to-peer communication protocol used in the UTMs collaborative module and connects them virtually to exchange network events and security rules. Security functions for the UTM are retrofitted to share security rules. In this paper, we propose a design and implementation of a cloud-based security center for network security forensic analysis. We propose using cloud storage to keep collected traffic data and then processing it with cloud computing platforms to find the malicious attacks. As a practical example, phishing attack forensic analysis is presented and the required computing and storage resources are evaluated based on real trace data. The cloud-based security center can instruct each collaborative UTM and prober to collect events and raw traffic, send them back for deep analysis, and generate new security rules. These new security rules are enforced by collaborative UTM and the feedback events of such rules are returned to the security center. By this type of close-loop control, the collaborative network security management system can identify and address new distributed attacks more quickly and effectively. | Zhen Chen Fuye Han Junwei Cao Xin Jiang Shuo Chen | 2013 | Tsinghua Science and Technology2013，18，1： | 8 |
| 6 | Mobile Internet Big Data Platform in China Unicom显示文摘China Unicom, the largest WCDMA 3G operator in China, meets the requirements of the historical Mobile Internet Explosion, or the surging of Mobile Internet Traffic from mobile terminals. According to the internal statistics of China Unicom, mobile user traffic has increased rapidly with a Compound Annual Growth Rate(CAGR) of 135%. Currently China Unicom monthly stores more than 2 trillion records, data volume is over 525 TB, and the highest data volume has reached a peak of 5 PB. Since October 2009, China Unicom has been developing a home-brewed big data storage and analysis platform based on the open source Hadoop Distributed File System(HDFS) as it has a long-term strategy to make full use of this Big Data. All Mobile Internet Traffic is well served using this big data platform. Currently, the writing speed has reached 1 390 000 records per second, and the record retrieval time in the table that contains trillions of records is less than 100 ms. To take advantage of this opportunity to be a Big Data Operator, China Unicom has developed new functions and has multiple innovations to solve space and time constraint challenges presented in data processing. In this paper, we will introduce our big data platform in detail. Based on this big data platform, China Unicom is building an industry ecosystem based on Mobile Internet Big Data, and considers that a telecom operator centric ecosystem can be formed that is critical to reach prosperity in the modern communications business. | Wenliang Huang Zhen Chen Wenyu Dong Hang Li Bin Cao Junwei Cao | 2014 | Tsinghua Science and Technology2014，19，1： | 6 |
| 7 | Collaborative Network Security in Multi-Tenant Data Center for Cloud Computing显示文摘A data center is an infrastructure that supports Internet service. Cloud computing is rapidly changing the face of the Internet service infrastructure, enabling even small organizations to quickly build Web and mobile applications for millions of users by taking advantage of the scale and flexibility of shared physical infrastructures provided by cloud computing. In this scenario, multiple tenants save their data and applications in shared data centers, blurring the network boundaries between each tenant in the cloud. In addition, different tenants have different security requirements, while different security policies are necessary for different tenants. Network virtualization is used to meet a diverse set of tenant-specific requirements with the underlying physical network, enabling multi-tenant datacenters to automatically address a large and diverse set of tenants requirements. In this paper, we propose the system implementation of vCNSMS, a collaborative network security prototype system used in a multi-tenant data center. We demonstrate vCNSMS with a centralized collaborative scheme and deep packet inspection with an open source UTM system. A security level based protection policy is proposed for simplifying the security rule management for vCNSMS. Different security levels have different packet inspection schemes and are enforced with different security plugins. A smart packet verdict scheme is also integrated into vCNSMS for intelligence flow processing to protect from possible network attacks inside a data center network. | Zhen Chen Wenyu Dong Hang Li Peng Zhang Xinming Chen Junwei Cao | 2014 | Tsinghua Science and Technology2014，19，1： | 5 |
| 8 | A Facial Expression Emotion Recognition Based Human-robot Interaction System显示文摘A facial expression emotion recognition based human-robot interaction(FEER-HRI) system is proposed, for which a four-layer system framework is designed. The FEERHRI system enables the robots not only to recognize human emotions, but also to generate facial expression for adapting to human emotions. A facial emotion recognition method based on2D-Gabor, uniform local binary pattern(LBP) operator, and multiclass extreme learning machine(ELM) classifier is presented,which is applied to real-time facial expression recognition for robots. Facial expressions of robots are represented by simple cartoon symbols and displayed by a LED screen equipped in the robots, which can be easily understood by human. Four scenarios,i.e., guiding, entertainment, home service and scene simulation are performed in the human-robot interaction experiment, in which smooth communication is realized by facial expression recognition of humans and facial expression generation of robots within 2 seconds. As a few prospective applications, the FEERHRI system can be applied in home service, smart home, safe driving, and so on. | Zhentao Liu Min Wu Weihua Cao Luefeng Chen Jianping Xu Ri Zhang Mengtian Zhou Junwei Mao | 2017 | IEEE/CAA Journal of Automatica Sinica2017，4，4： | 5 |
| 9 | A Survey of Bitmap Index Compression Algorithms for Big Data显示文摘With the growing popularity of Internet applications and the widespread use of mobile Internet, Internet traffic has maintained rapid growth over the past two decades. Internet Traffic Archival Systems(ITAS) for packets or flow records have become more and more widely used in network monitoring, network troubleshooting, and user behavior and experience analysis. Among the three key technologies in ITAS, we focus on bitmap index compression algorithm and give a detailed survey in this paper. The current state-of-the-art bitmap index encoding schemes include: BBC, WAH, PLWAH, EWAH, PWAH, CONCISE, COMPAX, VLC, DF-WAH, and VAL-WAH. Based on differences in segmentation, chunking, merge compress, and Near Identical(NI) features, we provide a thorough categorization of the state-of-the-art bitmap index compression algorithms. We also propose some new bitmap index encoding algorithms, such as SECOMPAX, ICX, MASC, and PLWAH+, and present the state diagrams for their encoding algorithms. We then evaluate their CPU and GPU implementations with a real Internet trace from CAIDA. Finally, we summarize and discuss the future direction of bitmap index compression algorithms. Beyond the application in network security and network forensic, bitmap index compression with faster bitwise-logical operations and reduced search space is widely used in analysis in genome data, geographical information system, graph databases, image retrieval, Internet of things, etc. It is expected that bitmap index compression will thrive and be prosperous again in Big Data era since 1980s. | Zhen Chen Yuhao Wen Junwei Cao Wenxun Zheng Jiahui Chang Yinjun Wu Ge Ma Mourad Hakmaoui Guodong Peng | 2015 | Tsinghua Science and Technology2015，20，1： | 5 |
| 10 | Prognostic value of clinicopathological characteristics in patients with pancreatic cancer显示文摘Background:The purpose of this study was to analyze me effects of all clinical characteristics on the overall survival time,in order to provide a basis for determining the prognostic factor of patients with pancreatic cancer.Methods:A total of 103 pancreatic cancer patients were admitted to the Department of Radiotherapy and Chemotherapy of the Ruijin Hospital,Shanghai Jiaotong University School of Medicine,between January 2002 and December 2012.There were 68 men and 35 women;the median age was 62 years.Diagnoses of pancreatic cancer in all patients were confirmed by histopathology,cytology,or clinical diagnosis.The Kaplan-Meier method was performed to calculate the overall survival rate.The log-rank method was used to examine the univariate analysis.The Cox regression model was performed for multivariate analysis.Results:The median survival time was 293 days,the 1-,2-,and 3-year survival rates were 27.18%,5.83%,and 1.94%,respectively.Cox regression analysis revealed that age(P=0.015),Karnofsky performance status(PS)(P=0.002),surgical types(P<0.001),and platelet counts(P<0.001) were independent prognostic factors affecting the overall survival of patients with pancreatic cancer.Conclusions:Pancreatic cancer had a poor prognosis,the general physical condition,age,the availability of radical surgery,and platelet counts were factors influencing the overall survival of patients with pancreatic cancer. | Mei Geng Haoping Xu Ruobing Ren Qing Qu Chengfang Shangguan Junwei Wu Jinsong Jiang Hao Li Weiguo Cao | 2015 | Chinese Journal of Cancer Research2015，27，5： | 4 |
| 11 | TIFAflow: Enhancing Traffic Archiving System with Flow Granularity for Forensic Analysis in Network Security显示文摘The archiving of Internet traffic is an essential function for retrospective network event analysis and forensic computer communication. The state-of-the-art approach for network monitoring and analysis involves storage and analysis of network flow statistic. However, this approach loses much valuable information within the Internet traffic. With the advancement of commodity hardware, in particular the volume of storage devices and the speed of interconnect technologies used in network adapter cards and multi-core processors, it is now possible to capture 10 Gbps and beyond real-time network traffic using a commodity computer, such as n2disk. Also with the advancement of distributed file system (such as Hadoop, ZFS, etc.) and open cloud computing platform (such as OpenStack, CloudStack, and Eucalyptus, etc.), it is practical to store such large volume of traffic data and fully in-depth analyse the inside communication within an acceptable latency. In this paper, based on well- known TimeMachine, we present TIFAflow, the design and implementation of a novel system for archiving and querying network flows. Firstly, we enhance the traffic archiving system named TImemachine+FAstbit (TIFA) with flow granularity, i.e., supply the system with flow table and flow module. Secondly, based on real network traces, we conduct performance comparison experiments of TIFAflow with other implementations such as common database solution, TimeMachine and TIFA system. Finally, based on comparison results, we demonstrate that TIFAflow has a higher performance improvement in storing and querying performance than TimeMachine and TIFA, both in time and space metrics. | Zhen Chen Linyun Ruan Junwei Cao Yifan Yu Xin Jiang | 2013 | Tsinghua Science and Technology2013，18，4： | 3 |
| 12 | Distributed Energy Sharing in Energy Internet Through Distributed Averaging显示文摘This paper proposes a distributed averaging iteration algorithm for energy sharing in microgrids of Energy Internet based on common gossip algorithms. This algorithm is completely distributed and only requires communications between neighbors. Through this algorithm, the Energy Internet not only allocates the energy effectively based on the load condition of grids, but also reasonably schedules the energy transmitted between neighboring grids. This study applies theoretical analysis to discuss the condition in which this algorithm can finally reach supply-and-demand balance. Subsequently, the related simulation validates the performance of the algorithm under various conditions. | Yangyang Ming Jie Yang Junwei Cao Ziqiang Zhou Chunxiao Xing | 2018 | Tsinghua Science and Technology2018，23，3： | 3 |
| 13 | Electricity Services Based Dependability Model of Power Grid Communication Networking显示文摘The technology of Ultra-High Voltage(UHV) transmission requires higher dependability for electric power grid. Power Grid Communication Networking(PGCN),the fundamental information infrastructure,severs data transmission including control signal,protection signal,and common data services. Dependability is the necessary requirement to ensure services timely and accurately. Dependability analysis aims to predicate operation status and provide suitable strategies getting rid of the potential dangers. Due to the dependability of PGCN may be affected by external environment,devices quality,implementation strategies,and so on,the scale explosion and the structure complexity make the PGCN's dependability much challenging. In this paper,with the observation of interdependency between power grid and PGCN,we propose an electricity services based dependability analysis model of PGCN. The model includes methods of analyzing its dependability and procedures of designing the dependable strategies. We respectively discuss the deterministic analysis method based on matrix analysis and stochastic analysis model based on stochastic Petri nets. | Jiye Wang Kun Meng Junwei Cao Zhen Chen Lingchao Gao Chuang Lin | 2014 | Tsinghua Science and Technology2014，19，2： | 3 |
| 14 | QoS-Aware Virtual Machine Scheduling for Video Streaming Services in Multi-Cloud显示文摘Video streaming services are trending to be deployed on cloud. Cloud computing offers better stability and lower price than traditional IT facilities. Huge storage capacity is essential for video streaming service. More and more cloud providers appear so there are increasing cloud platforms to choose. A better choice is to use more than one data center, which is called multi-cloud. In this paper a closed-loop approach is proposed for optimizing Quality of Service (QoS) and cost. Modules of monitoring and controlling data centers are required as well as the application feedback such as video streaming services. An algorithm is proposed to help choose cloud providers and data centers in a multi-cloud environment as a video service manager. Performance with different video service workloads are evaluated. Compared with using only one cloud provider, dynamically deploying services in multi-cloud is better in aspects of both cost and QoS. If cloud service costs are different among data centers, the algorithm will help make choices to lower the cost and keep a high QoS. | Wei Chen Junwei Cao Yuxin Wan | 2013 | Tsinghua Science and Technology2013，18，3： | 3 |
| 15 | MobSafe:Cloud Computing Based Forensic Analysis for Massive Mobile Applications Using Data Mining显示文摘With the explosive increase in mobile apps, more and more threats migrate from traditional PC client to mobile device. Compared with traditional Win+Intel alliance in PC, Android+ARM alliance dominates in Mobile Internet, the apps replace the PC client software as the major target of malicious usage. In this paper, to improve the security status of current mobile apps, we propose a methodology to evaluate mobile apps based on cloud computing platform and data mining. We also present a prototype system named MobSafe to identify the mobile app's virulence or benignancy. Compared with traditional method, such as permission pattern based method, MobSafe combines the dynamic and static analysis methods to comprehensively evaluate an Android app. In the implementation, we adopt Android Security Evaluation Framework (ASEF) and Static Android Analysis Framework (SAAF), the two representative dynamic and static analysis methods, to evaluate the Android apps and estimate the total time needed to evaluate all the apps stored in one mobile app market. Based on the real trace from a commercial mobile app market called AppChina, we can collect the statistics of the number of active Android apps, the average number apps installed in one Android device, and the expanding ratio of mobile apps. As mobile app market serves as the main line of defence against mobile malwares, our evaluation results show that it is practical to use cloud computing platform and data mining to verify all stored apps routinely to filter out malware apps from mobile app markets. As the future work, MobSafe can extensively use machine learning to conduct automotive forensic analysis of mobile apps based on the generated multifaceted data in this stage. | Jianlin Xu Yifan Yu Zhen Chen Bin Cao Wenyu Dong Yu Guo Junwei Cao | 2013 | Tsinghua Science and Technology2013，18，4： | 2 |
| 16 | Grid load balancing using intelligent agents显示文摘 | Junwei Cao Daniel P. Spooner Stephen A. Jarvis Graham R. Nudd | 2004 | Future Generation Computer Systems2004，，1： | 1 |
| 17 | Grid Load Balancing Using Intelligent Agents显示文摘 | CAO Junwei Spooner D P Jarvis S A | 2005 | Future Generation Computer Systems2005，21，1： | 1 |
| 18 | Ultraviolet mutagenesis of the cellulase producer Aspergillus niger using protoplasts显示文摘 | CAO Junwei CHEN Shuyun | 1988 | FEMS Microbiology Letters1988，50，： | 1 |
| 19 | Grid load balancing using intelligent agents显示文摘 | Cao Junwei Spooner D P Jarvis S A | | 0，，01： | 1 |
| 20 | Cloning and expression of a pectate lyase gene from Bacillus alcalophillus NTT33显示文摘 | Zhai Chao Cao Junwei Wang Youliang | | 0，，02： | 1 |
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