Community-centric analysis of user engagement in Skype social network

Rossetti, Giulio, Pappalardo, Luca, Kikas, Riivo, Pedreschi, Dino, Giannotti, Fosca, Dumas, Marlon | Advances in Social Networks Analysis and Mining (ASONAM), 2015 IEEE/ACM International Conference on (v.2015 / no.8 / pp.547-552 / 2015)

Traditional approaches to user engagement analysis focus on individual users. In this paper we address user engagement analysis at the level of groups of users (social co

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Traditional approaches to user engagement analysis focus on individual users. In this paper we address user engagement analysis at the level of groups of users (social communities). From the entire Skype social network we extract communities by means of representative community detection methods each one providing node partitions having their own peculiarities. We then examine user engagement in the extracted communities putting into evidence clear relations between topological and geographic features of communities and their mean user engagement. In particular we show that user engagement can be to a great extent predicted from such features. Moreover, from the analysis it clearly emerges that the choice of community definition and granularity deeply affect the predictive performance.

Decomposition of energy function and hierarchical transient stability diagnosis for power networks

Kojima, Chiaki, Susuki, Yoshihiko, Tsumura, Koji, Hara, Shinji | Decision and Control (CDC), 2015 IEEE 54th Annual Conference on (v.2015 / no.12 / pp.3266-3271 / 2015)

In this paper, we consider a power network with multiple synchronous machines (generators and motors) exhibiting multiple collective swing motions and aim at hierarchical

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In this paper, we consider a power network with multiple synchronous machines (generators and motors) exhibiting multiple collective swing motions and aim at hierarchical diagnosis of transient stability in the network. We decompose an energy function of the entire network into energy functions of the collective motion of coherently clustered machines and of the machines' motion relative to the collective motions as a main result. This decomposition enables us to extract distinctive behaviors in swing dynamics, and to consider hierarchical stability diagnosis. We also derive a hierarchical sufficient condition of transient stability of the entire network in terms of these energy functions. Finally, we study the diagnosis with a numerical example of a simple power network model.

Recent progress of junction technology for germanium CMOS

Nishimura, Tomonori, Choong Hyun Lee, Nakamura, Toshimitsu, Yajima, Takeaki, Nagashio, Kosuke, Kita, Koji, Toriumi, Akira | Junction Technology (IWJT), 2015 15th International Workshop on (v.2015 / no.6 / pp.65-68 / 2015)

To realize scaled Ge CMOS device, there are several challenges of junction formation in nMOSFET. (Fermi level pinning, activation and diffusion of n-type impurities and j

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To realize scaled Ge CMOS device, there are several challenges of junction formation in nMOSFET. (Fermi level pinning, activation and diffusion of n-type impurities and junction leakage, etc.) In this paper, we report recent progresses of controllability of band alignment at metal/Ge interface, understanding of n-type impurity activation in Ge, and impact of oxygen in Ge on n+/p junction leakage.

Fostering the entrepreneurial mindset in the junior and senior mechanical engineering curriculum with a multi-course problem-based learning experience

Liping Liu, Mynderse, James A., Gerhart, Andrew L., Arslan, Selin | Frontiers in Education Conference (FIE), 2015. 32614 2015. IEEE (v.2015 / no.10 / pp.1-5 / 2015)

This paper presents a multi-course problem-based learning (PBL) experience to foster the entrepreneurial mindset in the junior and senior mechanical engineering curriculu

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This paper presents a multi-course problem-based learning (PBL) experience to foster the entrepreneurial mindset in the junior and senior mechanical engineering curriculum. Previous senior project students designed, fabricated, and validated a fluid-powered gantry crane that exhibited areas for improvement. To improve upon the project gantry crane, junior-and senior-level students implemented concurrent problem-based learning activities in three courses: Fluid Mechanics, Heat Transfer, and Mechatronics. Even though the PBLs targeted both technical and entrepreneurial objectives, only the results of entrepreneurial mindset attributes are discussed in this paper. Assessment results including student commentary are detailed and discussed in the paper. Preliminary results indicate extensive student practice of entrepreneurial skills.

Decomposition of power flow used for optimizing zonal configurations of energy market

Klos, Michal, Wawrzyniak, Karol, Jakubek, Marcin | European Energy Market (EEM), 2015 12th International Conference on the (v.2015 / no.5 / pp.1-5 / 2015)

Zonal configuration of energy market is often a consequence of political borders. However there are a few methods developed to help with zonal delimitation in respect to

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Zonal configuration of energy market is often a consequence of political borders. However there are a few methods developed to help with zonal delimitation in respect to some measures. This paper presents the approach aiming at reduction of the loop flow effect - an element of unscheduled flows which introduces a loss of market efficiency. In order to undertake zonal partitioning, a detailed decomposition of power flow is performed. Next, we identify the zone which is a source of the problem and enhance delimitation by dividing it into two zones. The procedure is illustrated by a study of simple case.

Community based routing scheme for future Internet considering PLM systems

Bathla, Yatish | Applied Machine Intelligence and Informatics (SAMI), 2016 IEEE 14th International Symposium on (v.2016 / no.1 / pp.205-210 / 2016)

Internet plays an increasingly significant role in our modern life style for our society, educational institution, engineering systems and industrial applications. It ser

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Internet plays an increasingly significant role in our modern life style for our society, educational institution, engineering systems and industrial applications. It serves billions of users worldwide every day by carrying an extensive range of traffic from sources to desired destinations. Along with these advances, inter-domain routing nodes of internet are facing challenging issues like scalability. Path vector routing scheme is not sufficient to cope with this issues for building future internet. There are many different Advance Routing schemes available in the literature for solving the problem. Thorup Zwick routing scheme (TZ scheme) is one of the promising Compact Routing scheme, offering many benefits such as guaranteeing sub-linear state growth with the size of the network by introducing cluster nodes, landmark routing and incurring path stretch. However, the extra burden of routing table size in landmark nodes is an important issue which can generate scalability issues for landmark nodes. This paper tries to solve the scalability problem of internet by making modification in Thorup Zwick (TZ) scheme. we introduce a new concept named community in the topology of internet, re-define cluster nodes and replace landmark nodes with proposed community nodes in the network. The proposal organizes internet in an efficient way by defining new set of rules for inter-domain nodes and reduce routing table size in a prominent amount. The proposal provides an organized, simpler and effective routing scheme. A discrete event simulation study is used to verify the benefits of new scheme. Our simulation results show that the proposed scheme is capable to cope scalability issues of inter-domain nodes, handle generated traffic considering PLM systems and build an efficient future Internet.

Simulation of Radiated Noise signature of a marine vessel

Krishna Kumar, G. V., Padmanabam, M., Sree, M. Bhagya, Sairam, M. V. S. | Underwater Technology (UT), 2015 IEEE (v.2015 / no.2 / pp.1-4 / 2015)

Performance evaluation of passive devices such as ship board sonars, sea bed arrays, sonobuoys and underwater mines is carried out using simulated Radiated Noise (RN) sig

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Performance evaluation of passive devices such as ship board sonars, sea bed arrays, sonobuoys and underwater mines is carried out using simulated Radiated Noise (RN) signature of marine vessels such as surface ships, submarines, high speed boats, torpedoes etc, RN signature simulators developed so far have only been able to simulate static features of RN signature such as tonal components superimposed on the broad band propeller cavitation noise, ignoring the dynamic features imposed by the environment and Doppler imposed by source receiver motions. The time domain RN signature simulation model proposed in the current paper takes care of all the environment factors, multipath imposed by boundaries and Doppler due to source receiver motion. The model was developed and implemented in MATLAB #x00AE; . The simulated data has exhibited the dynamic features such as multipath and Doppler on RN signature which are important for evaluating the passive devices.

Use of Fuzzy Delphi Method to Develop iSTEM Imagination Capacity Indicators

Huei-Yin Tsai, Wei-Yuan Dzan, Chih-Chao Chung, Shi-Jer Lou | Robot, Vision and Signal Processing (RVSP), 2015 Third International Conference on (v.2015 / no.11 / pp.204-207 / 2015)

This study intends to use fuzzy Delphi method to develop iSTEM imagination capacity indicators. Firstly, this study proposed the prototype structure according to literatu

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This study intends to use fuzzy Delphi method to develop iSTEM imagination capacity indicators. Firstly, this study proposed the prototype structure according to literature analysis, and then obtained the indicators according to experts' comments. First-level indicators included 3 items: affective motivation, psychological thinking, and figurative characterization. Second-level indicators include 9 items: aggressive intention, positive emotions, possession of rich image materials, initiation, development, alternative, links, embodiment of abstract image and concept, and application (transformation) of results of imagination to other contexts. Third-level included 20 items.

Community Detection in Multi-dimensional Network

Xiaolin Chen, Guohui Han, Lin Yuan, Qiang Huang | Computational Intelligence and Design (ISCID), 2015 8th International Symposium on (v.1 / pp.598-601 / 2015)

Community structure is one of the hidden characteristics of complex network topology. Detecting the community structure is crucial to understand and utilize the network s

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Community structure is one of the hidden characteristics of complex network topology. Detecting the community structure is crucial to understand and utilize the network structure. Existing methods are mostly detecting the community on a one-dimensional network, which is based on only one kind of relationship between the nodes. In this paper, as the prerequisite that there are various ways of people connection in real world, we modeling the multiple relationships of group members in the complex network as a multi-dimensional network. Then we used the traditional community detection to infer the community structure from each dimension of our model. Finally, we define the sibling matrix to map the inferred different community structures from the multi-dimensional network into a comprehensive association, so we can find the hidden community of the complex network. Experimental results show that compared with existing algorithms, the proposed algorithm has higher performance.

Microwave treatment of agricultural soil samples

Cicatelli, A., Guarino, F., Castiglione, S., Grimaldi, M., Di Luca, A., Esposito, D., Bisceglia, B. | Microwave Symposium (MMS), 2015 IEEE 15th Mediterranean (v.2015 / no.11 / pp.1-3 / 2015)

Samples of agricultural soil, sown with Eruca sativa Mill. or Portulaca oleracea L., underwent to different microwave (MW) treatments in reverberating chamber (Incident P

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Samples of agricultural soil, sown with Eruca sativa Mill. or Portulaca oleracea L., underwent to different microwave (MW) treatments in reverberating chamber (Incident Power = 600 W), varying in the exposure time. Brief treatment with MWs caused a decrease of P. oleracea seed germination up to 30-50 %, relative to controls, whilst seeds of E. sativa, underwent to the same MW treatments (Incident Power 100 W, T1 = 1 min, T2= 30 sec and T3 = 2 min), did not influence seed germination. However, the T2 MW treatment strongly inhibited seed germination. The MW exposition clearly influences germination of the assayed seeds, consequently this methodology might be particularly effective in weed and pest control of agricultural soils.

Injection-locked dual fabry-perot laser diodes for interferometric noise suppression

Sang-Hwa Yoo, Myeonggyun Kye, Quoc-Hoai Tran, Chang-Hee Lee | Lasers and Electro-Optics Pacific Rim (CLEO-PR), 2015 11th Conference on (v.2 / pp.1-2 / 2015)

We propose and demonstrate a reduction of mode partition noise of an F-P LD using a fiber-based Mach-Zehnder interferometer (MZI). Injection-locked dual F-P LDs suppress

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We propose and demonstrate a reduction of mode partition noise of an F-P LD using a fiber-based Mach-Zehnder interferometer (MZI). Injection-locked dual F-P LDs suppress polarization dependence to reduce a noise power by 3-dB.

Community detection game

Xuanyu Cao, Yan Chen, Liu, K. J. Ray | Acoustics, Speech and Signal Processing (ICASSP), 2016 IEEE International Conference on (v.2016 / no.3 / pp.6220-6224 / 2016)

Real-world networks are often cluttered and hard to organize. Recent studies show that most networks have the community structure, i.e., nodes with similar attributes for

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Real-world networks are often cluttered and hard to organize. Recent studies show that most networks have the community structure, i.e., nodes with similar attributes form a certain community, which enables people to better understand the constitution of the networks. Hitherto, various community detection methods have been proposed in the literature yet none of them takes the strategic interactions among nodes into consideration. Additionally, many real-world observations of networks are noisy and incomplete, i.e., with some missing links or fake links, due to either technology constraints or privacy regulations. In this work, a game-theoretic framework of community detection is established, where nodes interact and produce links with each other in a rational way based on mutual benefits. Given the proposed game-theoretic generative models for communities, we use expectation maximization (EM) algorithm to detect communities. Simulations on synthetic networks and experiments on real-world networks demonstrate that the proposed detection method outperforms the state-of-the-art.

Identification of network topology via quadratic optimization

Chuangchuang Sun, Ran Dai | American Control Conference (ACC), 2015 (v.2015 / no.7 / pp.5752-5757 / 2015)

Identification of network topology is to estimate the topology of a controllable and observable network with given number of nodes such that the identified network will s

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Identification of network topology is to estimate the topology of a controllable and observable network with given number of nodes such that the identified network will satisfy the response between specified input and observed output. This paper examines the network topology identification (NTI) problems to find the original graph Laplacian from input-output data. A `similar' set of state-space matrices satisfying the input-output response is firstly constructed through system identification procedure. Based on the similarity relationship, we reformulate the NTI problems as general Quadratically Constrained Quadratic Programming (QCQP) problems. The QCQP problem is then transformed into semidefinite programming (SDP) problem with a rank one constraint. An iterative rank minimization method is proposed to gradually approach the optimal solution. Examples are presented to verify the convergence of the proposed method.

Community detection in social network: Literature review and research perspectives

Bouhali, Souhel, Ellouze, Mehdi | Service Operations And Logistics, And Informatics (SOLI), 2015 IEEE International Conference on (v.2015 / no.11 / pp.139-144 / 2015)

Social network community detection has occupied an important place in many scientific fields like biology, sociology, or computer science. This problem still attracted a

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Social network community detection has occupied an important place in many scientific fields like biology, sociology, or computer science. This problem still attracted a lot of work. The challenge is how to identify inside these networks, groups of persons strongly linked and sharing the same preferences. As in the literature, there are many works trying to detect communities we tried in this paper to do a review of the most important ones and we tried to present some tips for improvement of obtained results.

Tutorial I uncertainty theory: A branch of mathematics for modeling belief degrees

Baoding Liu | Technologies and Applications of Artificial Intelligence (TAAI), 2015 Conference on (v.2015 / no.11 / pp.32-32 / 2015)

When no samples are available to estimate a probability distribution, we have to invite some domain experts to evaluate the belief degree that each event will occur. Perh

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When no samples are available to estimate a probability distribution, we have to invite some domain experts to evaluate the belief degree that each event will occur. Perhaps some people think that the belief degree is subjective probability or fuzzy concept. However, it is usually inappropriate because both probability theory and fuzzy set theory may lead to counterintuitive results in this case. In order to rationally deal with belief degrees, an uncertainty theory was founded in 2007 and subsequently studied by many researchers. Nowadays, uncertainty theory has become a branch of mathematics for modeling belief degrees. This talk will introduce some fundamental concepts of uncertainty theory and discuss why uncertainty theory is useful. This presentation is based on the speaker's book Uncertainty Theory published by Springer- Verlag, Berlin (http://orsc.edu.cn/liu/ut.pdf).

Study on the voltage endurance characteristics of mineral insulation oil impregnated pressboard

Li Yafei, Li Huaqiang, Zhong Lisheng, Yu Qinxue, Zheng Wenjie, Tang Beiming, Mori, Shigekazu, Yamada, Shin | Properties and Applications of Dielectric Materials (ICPADM), 2015 IEEE 11th International Conference on the (v.2015 / no.7 / pp.764-767 / 2015)

As the growing emphasis on high voltage direct current (HVDC) transmission in power system, the reliability of converter transformer that is the vital equipment in DC tra

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As the growing emphasis on high voltage direct current (HVDC) transmission in power system, the reliability of converter transformer that is the vital equipment in DC transmission system becomes more important. The insulation system of converter transformer is mainly composed of insulating oil and pressboard, therefore the studies on DC voltage endurance (V-t) characteristics of the oil-impregnated pressboard are of great guiding significance for the insulation system design. In this paper, V-t characteristics of unused mineral insulation oil-impregnated pressboard have been studied in a completely seal V-t characteristics test system at 50 #x00B0;C. Firstly, the oil needs undergo a treating process to diminish the impurities, water and oxygen content in oil, and satisfy the requirements of water content

Identification the activities of daily living based on decision tree

Rung-Ching Chen, Qiangfu Zhao, Chia-Ming Tsai, Bin Dai | Awareness Science and Technology (iCAST), 2015 IEEE 7th International Conference on (v.2015 / no.9 / pp.157-162 / 2015)

The basic concept of smart environment is to be aware of the context information related to environmental and human behavioral changes, and to provide appropriate service

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The basic concept of smart environment is to be aware of the context information related to environmental and human behavioral changes, and to provide appropriate services accordingly. To obtain the context information, people often use video cameras, microphones, and other devices. These devices can obtain complex environmental data but they also need powerful equipment for handling the data. In addition, monitoring equipment will generate privacy issues. Users will generate sense of exclusion. In these devices, users generally dislike the graphic and audio monitoring equipment. We mainly collect user activity information through the most simple data quality of sensor. Due to amount of activity of human is difficult to make computers understand by natural language. On the other hand, activity vulnerable to external factors produce different variations. In order to effectively address these issues, we propose an activity to identify architecture based on fuzzy logic. This method using fuzzy logic deal with sensor data and using fuzzy decision trees identification of a user's activities. According to the results of preliminary experiments, the system can identify 85.49% the daily activities.

Fault injection acceleration by architectural importance sampling

Ebrahimi, Mojtaba, Sayed, Nour, Rashvand, Maryam, Tahoori, Mehdi B. | Hardware/Software Codesign and System Synthesis (CODES+ISSS), 2015 International Conference on (v.2015 / no.10 / pp.212-219 / 2015)

Radiation-induced soft errors are major reliability concerns in advanced technology nodes. The de facto approach for evaluation of the soft error vulnerability is to perf

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Radiation-induced soft errors are major reliability concerns in advanced technology nodes. The de facto approach for evaluation of the soft error vulnerability is to perform a costly fault injection campaign. Due to the long residency of some errors in system states, the error has to be traced for even millions of cycles. However, only a very small portion of injected errors leads to the failure. This means that many simulation cycles are wasted as they contribute to no failure due to various masking effects. In this paper, we present an importance sampling technique based on Architecturally Correct Execution (ACE) analysis to identify the non-vulnerable time intervals in memory arrays and avoid unnecessary fault injections to speedup the soft error vulnerability evaluation process without sacrificing the accuracy. Our analysis reveals that this approach significantly expedites our architecture-level fault injection technique (on average by 13X).

Injection-locked VCSEL arrays for line-by-line pulse-shaping with update times of less than 1 ns

Bhooplapur, Sharad, Klee, Anthony, Delfyett, Peter J. | Lasers and Electro-Optics (CLEO), 2015 Conference on (v.2015 / no.5 / pp.1-2 / 2015)

Dynamic and static optical pulse shaping with line-by-line control is shown, using a 12-channel injection-locked VCSEL linear array. With channel modulation frequencies u

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Dynamic and static optical pulse shaping with line-by-line control is shown, using a 12-channel injection-locked VCSEL linear array. With channel modulation frequencies up to 3.125 GHz, pulse shape changes within 1 ns are conclusively demonstrated.

Metrological characterization of an ultra-low noise acquisition system for fast voltage pulses measurements

Arpaia, Pasquale, Baccigalupi, Carlo, Martino, Michele | Instrumentation and Measurement Technology Conference (I2MTC), 2015 IEEE International (v.2015 / no.5 / pp.1532-1536 / 2015)

The metrological characterization of a custom designed ultra-low noise analogue front-end for an acquisition system for the measurement of flat-top of fast voltage pulses

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The metrological characterization of a custom designed ultra-low noise analogue front-end for an acquisition system for the measurement of flat-top of fast voltage pulses is presented. The system has challenging requirements, in particular for Common Mode Rejection Ratio (CMRR), thus custom methods have been defined, by illustrating the experimental results achieved at the European Organization for Nuclear Research (CERN) during the study of the new Compact LInear Collider (CLIC).