Simulation experiments: Better data, not just big data

Sanchez, Susan M. | Winter Simulation Conference (WSC), 2015 (v.2015 / no.12 / pp.800-811 / 2015)

Data mining tools have been around for several decades, but the term #x201C;big data #x201D; has only recently captured widespread attention. Numerous success stories ha

초록보기원문보기 >

Data mining tools have been around for several decades, but the term #x201C;big data #x201D; has only recently captured widespread attention. Numerous success stories have been promulgated as organizations have sifted through massive volumes of data to find interesting patterns that are, in turn, transformed into actionable information. Yet a key drawback to the big data paradigm is that it relies on observational data-limiting the types of insights that can be gained. The simulation world is different. A #x201C;data farming #x201D; metaphor captures the notion of purposeful data generation from simulation models. Large-scale designed experiments let us grow the simulation output efficiently and effectively. We can explore massive input spaces, uncover interesting features of complex simulation response surfaces, and explicitly identify cause-and-effect relationships. With this new mindset, we can achieve quantum leaps in the breadth, depth, and timeliness of the insights yielded by simulation models.

Generating cultural heritage metadata as linked open data

Ariyani, Nurul Fajrin, Yuhana, Umi Laili | Information Technology Systems and Innovation (ICITSI), 2015 International Conference on (v.2015 / no.11 / pp.1-6 / 2015)

This paper propose a metadata schema to preserve the semantics of cultural heritage (CH) objects. A widely used standard of CH metadata is already provide by CIDOC-CRM wh

초록보기원문보기 >

This paper propose a metadata schema to preserve the semantics of cultural heritage (CH) objects. A widely used standard of CH metadata is already provide by CIDOC-CRM which has been approved as an ISO 21127 in 2006. However, mapping CH attributes to CIDOC-CRM entities needs to be done carefully since the metadata could be published as open data. In order to enrich the spatial information of CH objects, we linked the metadata with geographic features in open geographic dataset Geonames. In the experiment results, the metadata and open linked data seems to be successfully implemented and can be used to solve more specific query about CH objects relates to their spatio-temporal relationships

Community detection in social networks using content and link analysis

Kakisim, Arzu, Sogukpinar, Ibrahim | Signal Processing and Communications Applications Conference (SIU), 2015 23th (v.2015 / no.5 / pp.1521-1524 / 2015)

Recently, community detection in social networks is studied as a major problem. Most existing methods solve the problem of community detection using link structure of net

초록보기원문보기 >

Recently, community detection in social networks is studied as a major problem. Most existing methods solve the problem of community detection using link structure of networks. In this case, communities only reflect the topological features of network. Documents of social members in network are ignored. In this paper, hierarchical modularity maximization algorithm that is frequently used in literature is modified using similarities between members. Experiments on real data sets, proposed algorithm can achieve a better performance.

Sensors applications within the research framework of the PACMAN project on metrology for particle accelerators at CERN

Arpaia, P., Artoos, K., Buzio, M., Caiazza, D., Lasheras, N. Catalan, Cherif, A., Doytchinov, I., Fuchs, J. F., Gaddi, A., Munoz, N. Galindo, Gayde, J. C., Kamugasa, S. W., Durand, H. Mainaud, Modena, M., Novotny, P., Russenschuck, S., Sanz, C., Severino, G., Tshilumba, D., Vlachakis, V., Wendt, M., Zorzetti, S. | Sensors Applications Symposium (SAS), 2016 IEEE (v.2016 / no.4 / pp.1-6 / 2016)

Within the framework of the Compact Linear Collider Study (CLIC) [1] at CERN, new sensing and actuators technologies must be developed in order to achieve the required pe

초록보기원문보기 >

Within the framework of the Compact Linear Collider Study (CLIC) [1] at CERN, new sensing and actuators technologies must be developed in order to achieve the required performance. An ITN Marie Curie Skowoska project funded by the European Union was launched in 2013. This project is a study on Particle Accelerator Components Metrology and Alignment to the Nanometre Scale, named PACMAN [2]. The project team consists of ten early stage researchers, divided in four work packages focusing on different tasks. Each of them is developing innovative transducers overperforming the current state of the art. Their main tasks are high-precision metrology and fiducialization, magnets prequalification and determination of magnetic axis under the constraint of small aperture (below 10 mm), determination of electrical center of a 15 GHz Radio Frequency-Beam Position Monitor (RF-BPM) and the electro-magnetic axis of an accelerating cavity, improvement of an existing seismic sensor to guarantee an optimized alignment process. The project has now been running for two years at CERN, resulting in dramatic progress for each of the early stage researchers. Their work already lead to building new experiments and proofs of concepts that are to be assembled in a unique, flexible, and compact test bench.

Identification of transient power quality disturbances based on FCM

Hehong Guo, Qingsheng Zhao, Yuhuan Han | Electric Utility Deregulation and Restructuring and Power Technologies (DRPT), 2015 5th International Conference on (v.2015 / no.11 / pp.2342-2346 / 2015)

This paper presents a new hierarchical identification method for transient power quality disturbance based on fuzzy C-mean clustering (FCM) algorithm. The method consists

초록보기원문보기 >

This paper presents a new hierarchical identification method for transient power quality disturbance based on fuzzy C-mean clustering (FCM) algorithm. The method consists of five function modules. By use of the ensemble empirical mode decomposition (EEMD) and singular value decomposition method, we can extract effective feature vectors layer by layer, which are used as the input of FCM. In this way the optimized classified matrix and clustering centers are obtained. According to the Euclidean distance between the unknown-sample records and the known-sample ones, the disturbance type is identified. Simulation results of common kinds of transient disturbances indicate that this method is accurate and has a potential application in engineering.

Sodium Nickel Chloride batteries in transportation applications

Manzoni, Renato | Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles (ESARS), 2015 International Conference on (v.2015 / no.3 / pp.1-6 / 2015)

Developed since middle nineteen seventies, the Sodium Nickel Chloride Battery Technology shows solid and proven results for energy storage and clean powering of electric

초록보기원문보기 >

Developed since middle nineteen seventies, the Sodium Nickel Chloride Battery Technology shows solid and proven results for energy storage and clean powering of electric vehicles. The Sodium Nickel chloride Technology highlights are high specific energy at battery level, immunity to ambient temperature conditions and constant performance and cycle life in harsh operating environments, possibility of long storage without any degradation, safety, low environmental impact with fully recyclable materials. Batteries has been adopted for both pure electric or plug-in hybrid vehicles. The latest developments include a new BMS specific for automotive applications and an hybrid energy storage with batteries and supercap working in parallel.

Cultural heritage: Displaying the Forum of Nerva with new technologies

Empler, Tommaso | Digital Heritage, 2015 (v.2 / pp.581-586 / 2015)

This paper outlines the results of current research in reconstruction and popularisation of the Nerva Forum in Rome, dating from imperial Rome and the high medieval perio

초록보기원문보기 >

This paper outlines the results of current research in reconstruction and popularisation of the Nerva Forum in Rome, dating from imperial Rome and the high medieval period, which aroused interest in terms of technological innovation applied to communication of cultural heritage through navigation in #x201C;real time #x201D; and use of #x201C;augmented reality. #x201D; Through Blender and its internal #x201C;game engine #x201D;, it was possible to innovatively experiment with real time navigation using the 3D model for reconstruction of the Forum in the two periods considered, with the possibility of quickly switching between models to verify analogies and differences between the historical periods reviewed, in addition to interacting and displaying some descriptive evidence of major objects in the Forum.

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/

초록보기원문보기 >

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 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

초록보기원문보기 >

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 Pentostain Isomers

Wang, C. H., Gao, L. P., Wang, X. P. | Measuring Technology and Mechatronics Automation (ICMTMA), 2015 Seventh International Conference on (v.2015 / no.6 / pp.538-540 / 2015)

Aiming at improve the pentostatin quality control in cGMP production, and the identification method of Pentostain isomers was provided based on the experiment in this pap

초록보기원문보기 >

Aiming at improve the pentostatin quality control in cGMP production, and the identification method of Pentostain isomers was provided based on the experiment in this papers. These isomers were synthesized and then hydrolyzed into diamine but its chiral centre remains unchanged. The hydrolyzates of isomers are compared with pentostatin hydrolyzate on chiral HPLC and then the chiral configurations of these isomers were identified.

Simulation Analysis of Heavy Truck EPS System

Jian-Qiang, Gong, Wei, Yang | Intelligent Transportation, Big Data and Smart City (ICITBS), 2015 International Conference on (v.2015 / no.12 / pp.717-720 / 2015)

A fuzzy control based on particle swarm optimization of heavy truck EPS system control strategy is proposed, on the basis of vehicle EPS system overall design, combined w

초록보기원문보기 >

A fuzzy control based on particle swarm optimization of heavy truck EPS system control strategy is proposed, on the basis of vehicle EPS system overall design, combined with the driver steering subjective feeling and the sense of road requirements designed assistance characteristics curve, steering system model, 7 degrees of freedom vehicle dynamics model. The simulation experimental results show that compared with the conventional fuzzy control, this method can improve the whole dynamic response of heavy truck EPS system efficiently.

Combining MATLAB #x00AE; simulation with telecommunications instructional modeling (TIMSTM) in a senior level communications course

Hartnett, Richard J., Crilly, Paul B. | Frontiers in Education Conference (FIE), 2015. 32614 2015. IEEE (v.2015 / no.10 / pp.1-4 / 2015)

In this work we present some of our successes in combining MATLAB #x00AE; -based simulation methods with Telecommunications Instructional Modeling (Emona-TIMS TM ) e

초록보기원문보기 >

In this work we present some of our successes in combining MATLAB #x00AE; -based simulation methods with Telecommunications Instructional Modeling (Emona-TIMS TM ) experimental methods to enhance student learning in a senior-level communications systems laboratory. While faculty have discussed the relative merits of simulation versus real experimentation in recent years, we find that combining these approaches has multiple advantages: (1) A TIMS TM based approach (where we have chosen to use #x201C;real-world #x201D; demodulated audio from local radio stations as the local message signal) makes students feel that they are engaged in #x201C;real-world modulation/demodulation; #x201D; (2) The TIMS TM based approach inherently reinforces a #x201C;concept map #x201D; (block diagram) view of communications modulation and demodulation; (3) The MATLAB #x00AE; simulation approach forces students to think about how to perform a proper simulation (e.g. set appropriate sampling rate, set appropriate specifications for digital filter design for envelope detector or discriminator, etc.) for both analog and digital simulation; and (4) The MATLAB #x00AE; simulation approach sets a starting point for our students as they pursue software defined radio (SDR) communications applications in some of their senior design projects. We find synergy in combining the two pedagogical approaches in most of the labs in our communications systems course, and this typically results in enhanced student comprehension. While more formal assessment will be conducted over the next two years, at this point we know from course feedback that students very much appreciate both learning tools. Students commonly remark that the TIMS TM really highlights the #x201C;big picture, #x201D; and helps them understand what to expect before they start the MATLAB #x00AE; simulations, while coding up the MATLAB #x00AE; simulations gets them #x201C;into the weeds, #x201D; and gives them the tools to test out ideas that support their senior projects.

Microwave treatment technology for oil contaminated drill cuttings

Zhang, Hui, Wei, Haoyin, Yang, Qi, Xiao, Jinghui, Liu, Youchun | Vacuum Electronics Conference (IVEC), 2015 IEEE International (v.2015 / no.4 / pp.1-2 / 2015)

This paper introduces the microwave treatment method for the oil contaminated drill cuttings. The method could lead the oil content to reduce to less than 1%, and the oil

초록보기원문보기 >

This paper introduces the microwave treatment method for the oil contaminated drill cuttings. The method could lead the oil content to reduce to less than 1%, and the oil recovery rate could reach 51.53%. A large amount of oil and water mixed vapor are separated from the cuttings when they are heated to 125 #x00B0;C. Therefore, the oil in the cuttings is carried over by water steam and removed at lower temperatures.

Simulation and analysis of an axial vircator using PIC code

Maiti, Moitreyee, Tiwari, Deepak, Roy, Amitava, Singh, Navdeep, Wagh, Sushama | Electromagnetic Compatibility (APEMC), 2015 Asia-Pacific Symposium on (v.2015 / no.5 / pp.1-5 / 2015)

An axial virtual cathode oscillator (vircator) designed for a high pulsed power system has been simulated and analyzed to generate high power microwaves (HPM) in a three

초록보기원문보기 >

An axial virtual cathode oscillator (vircator) designed for a high pulsed power system has been simulated and analyzed to generate high power microwaves (HPM) in a three dimensional Particle-In-Cell (PIC) simulation code. Magic, which is based on Finite Difference Time Domain (FDTD) and PIC techniques, is an electromagnetic specific code involving space charge interactions. The intense relativistic electron beam (IREB) used is typically of 200kV, 100ns. With increasing anode-cathode (AK) gap, direct proportionality of HPM output frequency and inverse proportionality of HPM output power with AK gap was established. The dependency of space charge limited current on the IREB voltage was proved by changing the IREB voltage levels and observing its effect on the space charge limited current. Using different metals for the anode mesh, it was observed that copper is ideally suited for the anode mesh of an axial vircator. As the cathode radius was varied, the Child-Langmuir current was observed to vary as the square of the radius of the emitter area which is the same as the cathode top radius.

A novel design of management senior project for engineering students

Kadry, Seifedine | Global Engineering Education Conference (EDUCON), 2015 IEEE (v.2015 / no.3 / pp.812-817 / 2015)

The senior project course for engineering students has a vital role in enhancing the #x201C;learn by practice #x201D; education engineering students in any university. T

초록보기원문보기 >

The senior project course for engineering students has a vital role in enhancing the #x201C;learn by practice #x201D; education engineering students in any university. The senior project course is, usually, a two semester course. This short time frame, poses challenges for both students and faculty. Students have to achieve the outcomes of the project to a certain extent and the faculty has to manage, follow up and evaluate efficiently the work of their students individually and by group. One common problem in senior project is the missing of the control during the visit of the students to a company for project preparation purpose. In this paper, we propose a new and efficient design of follow up for faculty to manage properly and evaluate effectively the individual progress of the students during the preparation of their senior projects and to avoid #x201C;free riders #x201D; situation. Our idea is based on the mobile technology to track the students' progress, meeting, and visiting industry and so on. The proposed idea is helpful to avoid free-riding students also provides instructors with solid evidence of the student progress.

Community detection in multiplex networks using Locally Adaptive Random walks

Kuncheva, Zhana, Montana, Giovanni | Advances in Social Networks Analysis and Mining (ASONAM), 2015 IEEE/ACM International Conference on (v.2015 / no.8 / pp.1308-1315 / 2015)

Multiplex networks, a special type of multilayer networks, are increasingly applied in many domains ranging from social media analytics to biology. A common task in these

초록보기원문보기 >

Multiplex networks, a special type of multilayer networks, are increasingly applied in many domains ranging from social media analytics to biology. A common task in these applications concerns the detection of community structures. Many existing algorithms for community detection in multiplexes attempt to detect communities which are shared by all layers. In this article we propose a community detection algorithm, LART (Locally Adaptive Random Transitions), for the detection of communities that are shared by either some or all the layers in the multiplex. The algorithm is based on a random walk on the multiplex, and the transition probabilities defining the random walk are allowed to depend on the local topological similarity between layers at any given node so as to facilitate the exploration of communities across layers. Based on this random walk, a node dissimilarity measure is derived and nodes are clustered based on this distance in a hierarchical fashion. We present experimental results using networks simulated under various scenarios to showcase the performance of LART in comparison to related community detection algorithms.

Analysis and clustering of PingER network data

Mal, Anwesha, Sabitha, A. Sai, Bansal, Abhay, White, Bebo, Cottrell, Les | Cloud System and Big Data Engineering (Confluence), 2016 6th International Conference (v.2016 / no.1 / pp.268-273 / 2016)

The PingER project was started by the SLAC National Accelerator Laboratory, Stanford, California for the purpose of monitoring end to end network performance. For the las

초록보기원문보기 >

The PingER project was started by the SLAC National Accelerator Laboratory, Stanford, California for the purpose of monitoring end to end network performance. For the last eighteen years PingER has generated an enormous amount of data that has been stored in space separated files. However due to the difficulties faced in retrieving data efficiently, it has been proposed that all the data be put into the form of RDF triples. Interpreting and analyzing such large volumes of data becomes a primary concern. By making using of clustering algorithms new and interesting patterns can be observed in the data sets. Outlier analysis can be performed giving insight to the exceptions occurring in the dataset and analyzing the probable causes of such. Patterns could be observed based on the country to which the data belongs and comparisons can be drawn between the patterns between the different countries.

Smartphone-based modeling and detection of aggressiveness reactions in senior drivers

Koh, Dong-Woo, Kang, Hang-Bong | Intelligent Vehicles Symposium (IV), 2015 IEEE (v.2015 / no.6 / pp.12-17 / 2015)

Reckless driving is one of the leading causes of car accidents. In particular, reckless driving by senior drivers often results in serious consequences due to driver phys

초록보기원문보기 >

Reckless driving is one of the leading causes of car accidents. In particular, reckless driving by senior drivers often results in serious consequences due to driver physical fragility. As the population in developed countries is aging, the number of elderly drivers is increasing rapidly. Thus, careless or reckless driving in the elderly has become an important research issue. To investigate driving behavior in the elderly, we used a smartphone because it is equipped with gyro sensors. We constructed driving tests for elderly people on two types of courses, and also performed the same test to young people for data comparison. We then analyzed the data through the classification of GMM(Gaussian Mixture Model) with Periodogram in the elderly group. Using our method, we can classify elderly people's driving style on a gradient from smooth to aggressive behavior. Our proposed method will be useful in building early warning systems for elderly drivers as part of Advanced Driver Assistance Systems(ADAS).

Pre-treatment planning for hepatic radiofrequency ablation

Qiyong Chen, Muftu, Sinan, Meral, F. Can, Tuncali, Kemal, Akcakaya, Murat | Signal Processing in Medicine and Biology Symposium (SPMB), 2015 IEEE (v.2015 / no.12 / pp.1-6 / 2015)

We develop a pre-treatment planning method for optimum hepatic radiofrequency (RF) ablation. In conventional methods, pre-treatment planning is minimal and for a specific

초록보기원문보기 >

We develop a pre-treatment planning method for optimum hepatic radiofrequency (RF) ablation. In conventional methods, pre-treatment planning is minimal and for a specific tumor size, it only includes reading pre-specified treatment length and input voltage values from a look-up table that lists experimentally obtained ablation parameters. Such planning, in order to assure certain level of cell death, usually results in more healthy cell damage than desired. Different than the conventional methods, here, we develop a model-based pre-treatment optimal planning framework. As an example, we use 1-D axisymmetric tissue geometry and over this geometry, we solve Pennes' bioheat and Laplace equations to model the RF heating. Using the solutions of these equations, we define constrained nonlinear optimization problems to achieve specific temperature profiles in certain areas of the tissue. Results demonstrate that compared to the conventional methods, our approach significantly improves the healthy tissue preservation.

Ad Injection at Scale: Assessing Deceptive Advertisement Modifications

Thomas, Kurt, Bursztein, Elie, Grier, Chris, Ho, Grant, Jagpal, Nav, Kapravelos, Alexandros, Mccoy, Damon, Nappa, Antonio, Paxson, Vern, Pearce, Paul, Provos, Niels, Abu Rajab, Moheeb | Security and Privacy (SP), 2015 IEEE Symposium on (v.2015 / no.5 / pp.151-167 / 20151081-6011)

Today, web injection manifests in many forms, but fundamentally occurs when malicious and unwanted actors tamper directly with browser sessions for their own profit. In t

초록보기원문보기 >

Today, web injection manifests in many forms, but fundamentally occurs when malicious and unwanted actors tamper directly with browser sessions for their own profit. In this work we illuminate the scope and negative impact of one of these forms, ad injection, in which users have ads imposed on them in addition to, or different from, those that websites originally sent them. We develop a multi-staged pipeline that identifies ad injection in the wild and captures its distribution and revenue chains. We find that ad injection has entrenched itself as a cross-browser monetization platform impacting more than 5% of unique daily IP addresses accessing Google -- tens of millions of users around the globe. Injected ads arrive on a client's machine through multiple vectors: our measurements identify 50,870 Chrome extensions and 34,407 Windows binaries, 38% and 17% of which are explicitly malicious. A small number of software developers support the vast majority of these injectors who in turn syndicate from the larger ad ecosystem. We have contacted the Chrome Web Store and the advertisers targeted by ad injectors to alert each of the deceptive practices involved.