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CPFinder: Finding an unknown caller's profession from anonymized mobile phone data

Digital Communications and Networks 2022年第3期8卷 324-332页

作者： Jiaquan Zhang Hui Chen xiaoming Yao xiaoming fu Institution of Computer Science University of GöttingenGöttingen37077Germany Beijing Foreign Studies University Beijing100089China Cloud Branch China TelecomBeijing100033China

Identifying an unfamiliar caller's profession is important to protect citizens' personal safety and property. Owing to the limited data protection of various popular online services in some countries, such as taxi hailing and ordering takeouts, many users presently encounter an increasing number of phone calls from strangers. The situation may be aggravated when criminals pretend to be such service delivery staff, threatening the user individuals as well as the society. In addition, numerous people experience excessive digital marketing and fraudulent phone calls because of personal information leakage. However, previous works on malicious call detection only focused on binary classification, which does not work for the identification of multiple professions. We observed that web service requests issued from users' mobile phones might exhibit their application preferences, spatial and temporal patterns, and other profession-related information. This offers researchers and engineers a hint to identify unfamiliar callers. In fact, some previous works already leveraged raw data from mobile phones (which includes sensitive information) for personality studies. However, accessing users' mobile phone raw data may violate the more and more strict private data protection policies and regulations (e.g., General Data Protection Regulation). We observe that appropriate statistical methods can offer an effective means to eliminate private information and preserve personal characteristics, thus enabling the identification of the types of mobile phone callers without privacy concerns. In this paper, we develop CPFinder —- a system that exploits privacy-preserving mobile data to automatically identify callers who are divided into four categories of users: taxi drivers, delivery and takeouts staffs, telemarketers and fraudsters, and normal users (other professions). Our evaluation of an anonymized dataset of 1,282 users over a period of 3 months in Shanghai City shows that the CPFi

关键词： Mobile big data Profession prediction Machine learning Classification Privacy protection

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Improved estimation model and empirical analysis of relationship between agricultural mechanization level and labor demand

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International Journal of Agricultural and Biological Engineering 2016年第2期9卷 48-53页

作者： Wang fulin Zhao Shengxue fu xiaoming College of Engineering Northeast Agriculture UniversityHarbin 150030China

The research on the relationship between mechanization level in planting industry and labor demand was carried out based on the present *** former estimation model of labor demand in planting industry was established without analyzing the effects of planting structure on labor demand in planting *** purpose of the research is to develop and perfect the theory of estimating both labor demand and rural surplus labor in planting industry,then to provide some theoretical references for scientific *** model established in this research can be used to calculate not only the amount of current labor demand,but also the demand in the various moment of future according to forecasted mechanization level and cultivated ***,it was explored how to obtain the indexes of cultivated areas,mechanization level and the average cultivated area that each labor can burden when the mechanization level is 0 and 100%.According to statistics principle,the methods of inspection to eliminate abnormal data and data processing were given in order to make the data more ***,an example was presented for demonstration purposes.

关键词： agricultural mechanization level planting industry labor demand estimation model data acquisition crop production

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Distribution regularity of downwash airflow under rotors of agricultural UAV for plant protection

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International Journal of Agricultural and Biological Engineering 2021年第3期14卷 46-57页

作者： Xin Liu Wei Zhang Haiba fu xiaoming fu Liqiang Qi College of Engineering Heilongjiang Bayi Agricultural UniversityDaqing 163319China College of Information Technology Heilongjiang Bayi Agricultural UniversityDaqing 163319China

In the plant protection spray operation of UAVs,the process of droplet from formation to sedimentation target is affected by airflow,easy to form uneven *** description of rotor downwash flow field,clarification of velocity vector distribution at different heights of the UAV rotor flow field,simulation of the flow field with high precision,which are the prerequisites for accurately analyzing the droplet deposition distribution in rotor downwash flow *** on CFD method,the detail of rotor flow field was numerically *** LTH-100 single-rotor agricultural UAV as the research object,the three-dimensional solid model of UAV was established,the Reynolds average N-S equation was used as the control equation and the RNGκ-εas the turbulence model to simulate the flow field of UAV in hover and lateral wind conditions,the wind velocity distribution at different altitudes of rotor downwash flow field was *** simulation results of the hover state showed that:In the flow field,the peak velocity appears in a circular distribution below the distal axis of the *** the decrease of height,the peak velocity distribution area showed a tendency to expand gradually after small shrinkage;When the distance from the rotor was not more than 1.5 m,the downwash flow field presented an axisymmetric distribution based on the rotor axis,and the variation rate of velocity in the peak velocity was basically the same,turbulence in downwash flow field made the flow field more complex when the distance from rotor was larger than 2.0 *** this basis,the optimal flight altitude of UAV is 1.5 *** velocity test of the flow field was carried out on a rotor test bench,wind velocities at four altitudes of 0.5 m,1.0 m,1.5 m and 2.0 m were measured to verify the coincidence between the simulated and measured *** test results showed that:the relative error between the measured and simulated values at four measurement heights were between 0.382-0.524,

关键词： aviation plant protection downwash flow field distribution regularity numerical simulation single-rotor UAV

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A study of function mechanism of hemxamethyl tetra-amine in gelation process of uranium

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Rare Metals 2006年第z1期25卷 343-346页

作者： GUO Wenli LIANG Tongxiang ZHAO Xingyu HAO Shaochang fu xiaoming Institute of Nuclear and New Energy Technology Tsinghua University Beijing 100084 China Institute of Nuclear and New Energy Technology Tsinghua University Beijing 100084 China Institute of Nuclear and New Energy Technology Tsinghua University Beijing 100084 China Institute of Nuclear and New Energy Technology Tsinghua University Beijing 100084 China Institute of Nuclear and New Energy Technology Tsinghua University Beijing 100084 China

The UO2 ceramic microspheres are the most important materials in the spherical fuel elements for high temperature reactor (HTR). A process for preparation of UO2 kernels known as total gelation process of uranium (TGU) was developed as the production process of 10 mW HTR at Tsinghua University. The TGU process is based on the traditional sol-gel process, external gelation process and internal gelation process of uranium (EGU and IGU), which implies that the gelation action is initiated both by ammonia out of the gel particles and hemxamethyl tetra-amine (HMTA) inside the gel particles. The gelation behavior and the properties of uranium microspheres were investigated of the solution with and without HMTA. It is observed that good spherical particles can be obtained without HMTA in the sol, which indicates a more controllable and industrialized route will be set up. Contrasts between this route and the traditional EGU were also listed.

关键词： gelation process of uranium high temperature reactor (HTR) UO2 microsphere

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A distributed authentication and authorization scheme for in-network big data sharing

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Digital Communications and Networks 2017年第4期3卷 226-235页

作者： Ruidong Li Hitoshi Asaeda Jie Li xiaoming fu Network System Research Institute National Instate of Information and Communications Japan (NICT) Tokyo 184-8795 Japan Department of Computer Science University of Tsukuba Ibaraki 305-8577 Japan Institute of Computer Science University of Gottingen Gottingen 37077 Germany

Big data has a strong demand for a network infrastructure with the capability to support data sharing and retrieval efficiently. Information-centric networking （ICN） is an emerging approach to satisfy this demand, where big data is cached ubiquitously in the network and retrieved using data names. However, existing authentication and authorization schemes rely mostly on centralized servers to provide certification and mediation services for data retrieval. This causes considerable traffic overhead for the secure distributed sharing of data. To solve this problem, we employ identity-based cryptography （IBC） to propose a Distributed Authentication and Authorization Scheme （DAAS）, where an identity-based signature （IBS） is used to achieve distributed verifications of the identities of publishers and users. Moreover, Ciphertext-Policy Attribnte-based encryption （CP-ABE） is used to enable the distributed and fine-grained authorization. DAAS consists of three phases： initialization, secure data publication, and secure data retrieval, which seamlessly integrate authentication and authorization with the in- terest/data communication paradigm in ICN. In particular, we propose trustworthy registration and Network Operator and Authority Manifest （NOAM） dissemination to provide initial secure registration and enable efficient authentication for global data retrieval. Meanwhile, Attribute Manifest （AM） distribution coupled with automatic attribute update is proposed to reduce the cost of attribute retrieval. We examine the performance of the proposed DAAS, which shows that it can achieve a lower bandwidth cost than existing schemes.

关键词： Big data Security Authentication ACCESS control In-network data sharing Information-centric network

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Golden age:on multi-source software update propagation in pervasive networking environments

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Science China(Information Sciences) 2013年第8期56卷 104-118页

作者： LI WenZhong fu xiaoming CHAN Edward LU SangLu CHEN DaoXu State Key Laboratory for Novel Software Technology Nanjing University Institute of Computer Science University of Goettingen Department of Computer Science City University of Hong Kong

With the development of Internet technology,a large portion of computer softwares appear to run in a network-oriented,distributed-deployed,and self-evolving *** emerging wireless communication technologies broaden the usage of software in mobile platforms,enabling the pervasive computing paradigm,where people can access information/service anytime and anywhere with portable *** the pervasive networking environment where mobile devices operate on the ad hoc mode and communicate with each other opportunistically without wireless infrastructures,distributing the evolving software updates to a set of mobile terminals is a challenging *** this paper,we address the problem of distributing multiple software updates in pervasive networks with storage and bandwidth constraints,and propose age-based solutions to tackle this *** basic idea is to introduce different age-based priority mechanisms for propagation decision making in order to resolve the contention of wireless bandwidth and storage *** investigate a number of update propagation strategies including random spread,youngest age,and golden *** models are derived to analyse the performance of the proposed *** is shown that the golden age strategy has the burst effect,which could be used to enhance the efficiency of software update *** principles for choosing golden age values are proposed aiming to optimize different utility *** simulations under various network parameters show that the golden age strategy outperforms other strategies for multi-source software updates propagation.

关键词： pervasive computing software update propagation mobile ad hoc networks

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Inaugural Message from Editors-in-Chief

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Journal of Social Computing 2020年第1期1卷 I0001-I0004页

作者： James Evans xiaoming fu Jar-Der Luo Faculty Director of Computational Social Science Knowledge Lab at the University of Chicago and the Santa Fe Institute the University of Gottingen Germany Department of Sociology Tsinghua University Tsinghua Social Network Research Center

On behalf of the Editorial Board,it is our privilege to present the first issue of the Journal of Social Computing,affectionately shortened *** computing concerns the intersection of social behavior and computational *** focused on recreating human social conventions and contexts through software and technology,we propose its expansion to the full interface between social interaction and computation.

关键词： Message computing behalf

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Message from Editors-in-Chief

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Journal of Social Computing 2021年第2期2卷 I0001-I0002页

作者： James Evans xiaoming fu Jar-Der Luo 不详

Dear readers It’s our pleasure to welcome you to the first issue of the second volume of the Journal of Social *** issue comprises the following six interesting *** the first article,“Using Twitter Bios to Measure Changes in Self-Identity:Are Americans Defining Themselves More Politically Over Time?”,Nick Rogers and Jason *** study whether Americans’political views will converge to their self-identify over *** authors introduce a methodology called“Longitudinal Online Profile Sampling(LOPS)”,which suggests a positive answer based on their analysis of millions of Twitter user bios over four years,where Twitter users tend to add political words more frequently to their bios than any other category.

关键词： Twitter Message Online

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Message from Editors-in-Chief

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Journal of Social Computing 2022年第4期3卷 I0001-I0002页

作者： James Evans xiaoming fu Jar-Der Luo 不详

Dear readers,It is our pleasure to introduce the second issue of the third volume of the Journal of Social *** two special issues in the second half of 2021 and one special issue in March 2022,the present issue is bac... 详细信息

关键词： pleasure second comprise

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Estimating Multiple Socioeconomic Attributes via Home Location-A Case Study in China

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Journal of Social Computing 2021年第1期2卷 71-88页

作者： Shichang Ding Xin Gao Yufan Dong Yiwei Tong xiaoming fu State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou 276800China Department of Sociology Tsinghua UniversityBeijing 100085China Institute of Computer Science University of GottingenGottingen 37077Germany Shanghai Hejin Information Technology Company Shanghai 200100China

Inferring people’s Socioeconomic Attributes(SEAs),including income,occupation,and education level,is an important problem for both social sciences and many networked applications like targeted advertising and personalized *** works mainly focus on estimating SEAs from peoples’cyberspace behaviors and relationships,such as the content of tweets or the social networks between online *** cyberspace data,alternative data sources about users’physical behavior,like their home location,may offer new *** specifically,in this paper,we study how to predict a person’s income level,family income level,occupation type,and education level from his/her home *** a case study,we collect people’s home locations and socioeconomic attributes through a survey involving 9 provinces and 85 cities in *** further enrich home location with the knowledge from real estate websites,government statistics websites,online map services,*** learn a shared representation from input features as well as attribute-specific representations for different SEAs,we propose H2SEA,a factorization machine-based multi-task learning method with attention *** experiment results show that:(1)Home location can clearly improve the estimation accuracy for all SEA prediction tasks(e.g.,80.2%improvement in terms of F1-score in estimating personal income level);(2)The proposed H2SEA model outperforms alternative models for SEA inference in terms of various evaluation metrics,such as Area Under Curve(AUC),F-measure,and specificity;(3)The performance of specific SEA prediction tasks(e.g.,personal income)can be further improved if H2SEA only focuses on cities or villages due to urban-rural gap in China;(4)Compared with online crawled housing price data,the area-level average income and Points Of Interest(POI)are more important features for SEA inferences in China.

关键词： personal income family income occupation education multi-task learning

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