Cultural Heritage and Social Pulse: A Semantic Approach for CH Sensitivity Discovery in Social Media Data

Chianese, Angelo, Marulli, Fiammetta, Piccialli, Francesco | Semantic Computing (ICSC), 2016 IEEE Tenth International Conference on (v.2016 / no.2 / pp.459-464 / 2016)

The demand for real-time business intelligence and the popularity of social media offer room for synthesis. A recent topic of interest in such perspective is Cultural Her

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The demand for real-time business intelligence and the popularity of social media offer room for synthesis. A recent topic of interest in such perspective is Cultural Heritage, as empirically evidenced, in 2015, by Twitter introduction of the hashtag #culturalheritage. The opportunities offered by linking both concepts are acknowledged in the recent scientific literature, but a relative underexposure of quantitative studies devoted to assess the potential and effectiveness of social pulses and activities for supporting organizations promoting Cultural Heritage was recorded. In this work a data driven approach is proposed. Basing on the effective employment of domain specific and general ontologies, it aims to identify a set of Key Performance Indicators (KPIs) for quantitative estimation of Cultural Heritage Sensitivity as expressed by social network users. Quantitative analysis of huge datasets of tweets, combining Natural Language Processing (NLP), semantic technologies, geo-referencing and temporal analysis, and issued in a long period of time from geographical areas of Italy having different densities of CH resources, were performed. Examples of computed measures for characterizing people's interest and sensitivity into CH subjects, are geographical density of CH resources and temporal proximity to CHrelated events. Obtained results encourage a Business-Intelligence approach.

Automated Decomposition of Build Targets

Vakilian, Mohsen, Sauciuc, Raluca, Morgenthaler, J. David, Mirrokni, Vahab | Software Engineering (ICSE), 2015 IEEE/ACM 37th IEEE International Conference on (v.1 / pp.123-133 / 2015)

A (build) target specifies the information that is needed to automatically build a software artifact. This paper focuses on underutilized targets - an important dependenc

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A (build) target specifies the information that is needed to automatically build a software artifact. This paper focuses on underutilized targets - an important dependency problem that we identified at Google. An underutilized target is one with files not needed by some of its dependents. Underutilized targets result in less modular code, overly large artifacts, slow builds, and unnecessary build and test triggers. To mitigate these problems, programmers decompose underutilized targets into smaller targets. However, manually decomposing a target is tedious and error-prone. Although we prove that finding the best target decomposition is NP-hard, we introduce a greedy algorithm that proposes a decomposition through iterative unification of the strongly connected components of the target. Our tool found that 19,994 of 40,000 Java library targets at Google can be decomposed to at least two targets. The results show that our tool is (1) efficient because it analyzes a target in two minutes on average and (2) effective because for each of 1,010 targets, it would save at least 50% of the total execution time of the tests triggered by the target.

Stripline injection cell for high frequency BCI tests

Andrieu, Guillaume, Reineix, Alain | Electromagnetic Compatibility (EMC), 2015 IEEE International Symposium on (v.2015 / no.8 / pp.861-864 / 2015)

This paper presents an innovative injection system (based on a Stripline injection cell) able to extend the possibility to perform BCI tests until 2 GHz. Encouraging expe

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This paper presents an innovative injection system (based on a Stripline injection cell) able to extend the possibility to perform BCI tests until 2 GHz. Encouraging experimental results are presented showing the interest and the performances of the proposed system in comparison to reverberation chamber immunity tests.

Ingredient substitute recommendation for allergy-safe cooking based on food context

Ooi, Ami, Iiba, Toshiya, Takano, Kosuke | Communications, Computers and Signal Processing (PACRIM), 2015 IEEE Pacific Rim Conference on (v.2015 / no.8 / pp.444-449 / 2015)

With the increasing number of food-allergenic patients, we have many online services providing allergy-safe food recipes; however, the number of the allergy-safe food rec

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With the increasing number of food-allergenic patients, we have many online services providing allergy-safe food recipes; however, the number of the allergy-safe food recipes is much smaller than ordinary food recipes. It is deemed that we can have more allergy-safe food recipes, if allergy-free ingredients could be extracted from the large number of the ordinary food recipes. However, it is difficult to extract substitute ingredients suitable for certain food only by specifying allergy ingredients in the recipe, because not every potential substitute ingredient works the same way in a recipe. In this study, we propose an ingredient substitute suggestion method for allergy-safe cooking based on food context as extracted by examining recipe similarity. By considering food context for allergy ingredients, the precision of extracting allergy-free ingredients can be improved. In the experiments, we confirm the feasibility of our proposed method.

Identification of Hammerstein nonlinear systems with delayed input

Atitallah, Asma, Bedoui, Saida, Abderrahim, Kamel | Systems, Signals amp; Devices (SSD), 2015 12th International Multi-Conference on (v.2015 / no.3 / pp.1-6 / 2015)

This paper focuses on the identification problem of Hammerstein nonlinear systems with delayed input. This problem involves both the estimation of the time delay and the

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This paper focuses on the identification problem of Hammerstein nonlinear systems with delayed input. This problem involves both the estimation of the time delay and the parameters by applying respectively the Variable Regression Estimation (VRE) technique and the gradient approach. Simulation results are presented to illustrate the the performance of the proposed method.

Nurturing employment competence through practical guidance of younger students by senior students: Verifying educational effects using a four year questionnaire survey

Nakashima, Kenji, Morikawa, Hiroshi, Matsuyama, Fuminori, Morita, Hidetoshi, Nakaura, Shigeki, Sadahiro, Teruyoshi, Nishiguchi, Hiroshi | System Integration (SII), 2015 IEEE/SICE International Symposium on (v.2015 / no.12 / pp.140-145 / 2015)

From 2010 until 2015, the Department of Mechanical Engineering at Sasebo College of Technology, Japan, has conducted an employment competence development curriculum invol

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From 2010 until 2015, the Department of Mechanical Engineering at Sasebo College of Technology, Japan, has conducted an employment competence development curriculum involving the practical guidance of younger students by senior students in order to nurture students' employment competence. This paper introduces the content of this curriculum and reports on the verification of its educational effectiveness based on the results of a four-year questionnaire survey. It investigated various aspects of educational competence to identify the competencies that senior students gained as well as the competencies they thought difficult, important, or interesting. The paper also presents guidelines for a future curriculum based on the results of the survey.

Community Detection Analysis of Heterogeneous Network

Du, Shuai, Niu, Kai, He, Zhiqiang, Qiao, Yuqian | Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), 2015 International Conference on (v.2015 / no.9 / pp.509-512 / 2015)

With the rapid development of information society, intricate relationship between objects establish huge heterogeneous networks. The linkage is affected by multiple facto

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With the rapid development of information society, intricate relationship between objects establish huge heterogeneous networks. The linkage is affected by multiple factors, which makes community detection on heterogeneous network a difficult task. Traditional clustering algorithms focus on divided factors, ignoring the combination of them. If the structure of multi-dimensional information is taken into consideration, the results can be more accurate and meaningful. In this paper, we introduce an improved fuzzy clustering algorithm to solve the problem of community detection of heterogeneous network. First extract the features of heterogeneous network and initialize K clusters. Then use a model to create a K-dimensional vector for each object which denotes the probability of belonging to every cluster. Through modifying a classic fuzzy clustering algorithm FCM (Fuzzy c-means) called HFCM, objects can be reassigned to cluster based on the maximum probability. Finally synthetic data and real data are used to verify the correctness of the algorithm.

Magnetron injection gun for a 238 GHz 2 MW coaxial-cavity gyrotron

Franck, J., Pagonakis, I. Gr, Avramidis, K. A., Gantenbein, G., Illy, S., Thumm, M., Jelonnek, J. | Microwave Conference (GeMiC), 2015 German (v.2015 / no.3 / pp.260-263 / 2015)

Karlsruhe Institute of Technology (KIT) has started the development of gyrotrons for the first demonstration fusion power plant DEMO. A coaxial-cavity 238 GHz 2 MW gyrotr

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Karlsruhe Institute of Technology (KIT) has started the development of gyrotrons for the first demonstration fusion power plant DEMO. A coaxial-cavity 238 GHz 2 MW gyrotron design is under investigation. After having obtained an initial cavity design, one focus of current studies is the associated triode-type magnetron injection gun (MIG). Constraints, design approaches and an initial gun design are presented. An outlook on further investigations is given.

Simulation in the development of learning support systems

Kupriyanov, M. S., Pozdniakov, S. N., Posov, I. A. | Soft Computing and Measurements (SCM), 2015 XVIII International Conference on (v.2015 / no.5 / pp.125-126 / 2015)

The paper presents an analysis of directions of development of cognitive information technologies for mathematical education. Two aspects of the problem are highlighted,

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The paper presents an analysis of directions of development of cognitive information technologies for mathematical education. Two aspects of the problem are highlighted, they are a simulation of mental processes of a student and a modeling of a subject area. The proposed concept of development of cognitive informational technologies is confirmed by a retrospective analysis of information technologies applications for learning mathematics in schools on the example of dynamic geometry. We present our results in the field of verification and generation of mathematical problems and in the usage of models of subject areas. We also present directions of the future work on development of proposed directions.

Cognitive neural network modeling of the trajectory of global technical and economic development

Gorbachev, Sergey, Syryamkin, Vladimir | Cognitive Computing and Information Processing (CCIP), 2015 International Conference on (v.2015 / no.3 / pp.1-6 / 2015)

The article considers the problem of measuring the level and rate of technical and economic development of countries in terms of technological change. Advantages of cogni

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The article considers the problem of measuring the level and rate of technical and economic development of countries in terms of technological change. Advantages of cognitive neural network approach to monitoring and quality analysis for integrating into a single model of economic, scientific-technological, innovative and other quantitative and qualitative components of growth, not amenable to traditional statistical analysis, with calculation of the forecast evaluation time of the reference trajectory of technical and economic development. Presents the results of the calculations. To improve the accuracy of the model trajectories are encouraged to use self-organizing Kohonen maps.

Community network clouds as a case for the IEEE Intercloud standardization

Baig, Roger, Freitag, Felix, Moll, Agusti, Navarro, Leandro, Pueyo, Roger, Vlassov, Vladimir | Standards for Communications and Networking (CSCN), 2015 IEEE Conference on (v.2015 / no.10 / pp.269-274 / 2015)

The IEEE P2302 Intercloud WG conducts work since 2011 on the project Standard for Intercloud Interoperability and Federation with the goal to define a standard architectu

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The IEEE P2302 Intercloud WG conducts work since 2011 on the project Standard for Intercloud Interoperability and Federation with the goal to define a standard architecture and building components for large-scale interoperability of independent cloud providers. While the standardization process has achieved fine-grained definitions of several Intercloud components, a deployment of the Intercloud to demonstrate the architectural feasibility is not yet operational. In this paper, we describe a deployed community network cloud and we show how it matches in several aspects the vision of the Intercloud. Similar to the Intercloud, the community network cloud consists of many small cloud providers, which for interoperability use a set of common services. In this sense, the community network cloud is a real use case for elements that the Intercloud standardization WG envisions, and can feed back to and even become part of the Intercloud. In fact, a study on Small or Medium Enterprise (SME) provided commercial services in the community network cloud indicates the importance of the success of the Intercloud standardization initiative for SMEs.

Smart Environments Using Gesture-Based Interactions for Health: A Systematic Review

Fontana, Emanoel, Bertoletti De Marchi, Ana Carolina, Biduski, Daiana, Rieder, Rafael | Virtual and Augmented Reality (SVR), 2015 XVII Symposium on (v.2015 / no.5 / pp.170-175 / 2015)

Smart environments are interactive spaces that offer quality of life for users. Considering this definition, our study aims to investigate papers containing projects and/

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Smart environments are interactive spaces that offer quality of life for users. Considering this definition, our study aims to investigate papers containing projects and/ or evaluation of smart environments in the context of smart cities, using gesture-based interaction applied in health solutions. Our approach is a systematic review of the literature that examined the following databases: IEEE Xplore, ScienceDirect, Springer, CiteSeerX and Google Scholar, from November 13 to December 18, 2014. From 212 studies identified, only 12 were in agreement with the eligibility criteria. After analysis of the papers, the usability of smart gesture-based environments was discussed considering the medical area, presenting possible benefits for healthcare.

Community Detection Based on Structure and Content: A Content Propagation Perspective

Liu, Liyuan, Xu, Linli, Wangy, Zhen, Chen, Enhong | Data Mining (ICDM), 2015 IEEE International Conference on (v.2015 / no.11 / pp.271-280 / 20151550-4786)

With the recent advances in information networks, the problem of identifying group structure or communities has received a significant amount of attention. Most of the ex

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With the recent advances in information networks, the problem of identifying group structure or communities has received a significant amount of attention. Most of the existing principles of community detection or clustering mainly focus on either the topological structure of a network or the node attributes separately, while both of the two aspects provide valuable information to characterize the nature of communities. In this paper we combine the topological structure of a network as well as the content information of nodes in the task of detecting communities in information networks. Specifically, we treat a network as a dynamic system and consider its community structure as a consequence of interactions among nodes. To model the interactions we introduce the principle of content propagation and integrate the aspects of structure and content in a network naturally. We further describe the interactions among nodes in two different ways, including a linear model to approximate influence propagation, and modeling the interactions directly with random walk. Based on interaction modeling, the nature of communities is described by analyzing the stable status of the dynamic system. Extensive experimental results on benchmark datasets demonstrate the superiority of the proposed framework over the state of the art.

Recognizing cultural events in images: A study of image categorization models

Heeyoung Kwon, Kiwon Yun, Minh Hoai, Samaras, Dimitris | Computer Vision and Pattern Recognition Workshops (CVPRW), 2015 IEEE Conference on (v.2015 / no.6 / pp.51-57 / 2015)

The goal of this work is to study recognition of cultural events represented in still images. We pose cultural event recognition as an image categorization problem, and w

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The goal of this work is to study recognition of cultural events represented in still images. We pose cultural event recognition as an image categorization problem, and we study the performance of several state-of-the-art image categorization approaches, including Spatial Pyramid Matching and Regularized Max Pooling. We consider SIFT and color features as well as the recently proposed CNN features. Experiments on the ChaLearn dataset of 50 cultural events, we find that Regularized Max Pooling with CNN, SIFT, and Color features achieves the best performance.

Simulation studies on bipolar electrostatic chucks

Chih-Hung Li, Yi-Fan Chiu, Yu Yi-Hsiuan, Jian-Zhang Chen | Microsystems, Packaging, Assembly and Circuits Technology Conference (IMPACT), 2015 10th International (v.2015 / no.10 / pp.382-385 / 2015)

We use Comsol Multiphysics, a finite element simulation tool to study a bipolar electrostatic chuck (E-chuck). The influences of the substrate and dielectric types, wafer

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We use Comsol Multiphysics, a finite element simulation tool to study a bipolar electrostatic chuck (E-chuck). The influences of the substrate and dielectric types, wafer thickness, and air gap are investigated.

Identification of aliasing-based patterns in re-captured LCD screens

Mahdian, Babak, Novozamsky, Adam, Saic, Stanislav | Image Processing (ICIP), 2015 IEEE International Conference on (v.2015 / no.9 / pp.616-620 / 2015)

In this paper we address the problem of identification of pictures and videos re-captured from LCD screens. We show that they often exhibit detectable periodic patterns t

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In this paper we address the problem of identification of pictures and videos re-captured from LCD screens. We show that they often exhibit detectable periodic patterns that are caused by regular sampling grid of LCD screen and aliasing. We develop a method capable of detecting these patterns by using the theory of cyclostationarity. The term cyclostationarity refers to a special class of signals which exhibit periodicity in their statistics. Such signals have a frequency spectrum correlated with a shifted version of itself. Experimental results quantifying the performance of the developed method are also shown.

Analysis of a full E-shaped antenna

Pedra, A. C. O., Caruso, L. C. M., Serafini, P., Salles, A. A. A. | Microwave and Optoelectronics Conference (IMOC), 2015 SBMO/IEEE MTT-S International (v.2015 / no.11 / pp.1-4 / 2015)

Analysis, simulations and measurements of a single layer wide-band full E-shaped patch antenna using technique of shorting pins are presented and the antenna area is redu

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Analysis, simulations and measurements of a single layer wide-band full E-shaped patch antenna using technique of shorting pins are presented and the antenna area is reduced. The resonance behavior of the E-antenna is studied and an antenna design procedure is developed. The antenna sensitivity is performed considering the parameter variations. An algorithm based on the FDTD was done by one of the authors.

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).

Treatment for neuropathic pain and chronic inflammation using LASER in animal models

Erthal, V., Nohama, P. | Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE (v.2015 / no.8 / pp.1315-1318 / 2015)

The ST36 (Zusanli) acupuncture point is used to treat inflammatory processes, pain and gastrointestinal disturbs. For this reason, the aim of the present study was to eva

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The ST36 (Zusanli) acupuncture point is used to treat inflammatory processes, pain and gastrointestinal disturbs. For this reason, the aim of the present study was to evaluate the antinociceptive effect of Low-level Laser Treatment (LLLT) on ST36 acupoint using models of chronic nociception and inflammation. Male Swiss mice were treated with LLLT on ST36 30 minutes before the mechanical allodynia (von Frey) performed on the partial sciatic nerve ligation (PSNL) method and Complete Freund's Adjuvant (CFA). The results demonstrated that application of LLLT on ST36 inhibited the mechanical allodynia response induced by PSNL and CFA, with total reversion at 30 minutes after application. Long-term treatment of animals with LLLT on the same acupoint, once a day, also reduced the PNSL and CFA-induced mechanical allodynia response during 8 days of treatment. As conclusion, the results demonstrated that photonic stimulus on ST36 with LLLT produces antinociceptive effect in chronic models of nociception and inflammation. These findings suggest that LLLT may constitute an important therapeutic alternative to control chronic pain.

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.