Simulation of 0.346 THz double corrugated waveguide BWO

Malekabadi, Ali, Mineo, Mauro, Letizia, Rosa, Paoloni, Claudio, Gamzina, Diana, Popovic, Branko, Limes, Logan, Luhmann, Neville C., Li Li, Jinjun Feng | Millimeter Waves and THz Technology Workshop (UCMMT), 2015 8th UK, Europe, China (v.2015 / no.9 / pp.1-2 / 2015)

A Backward Wave Oscillator (BWO) based on Double Corrugated Waveguide (DCW) is presented to operate at 0.346 THz. The dimensions of the DCW are defined to have high inter

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A Backward Wave Oscillator (BWO) based on Double Corrugated Waveguide (DCW) is presented to operate at 0.346 THz. The dimensions of the DCW are defined to have high interaction impedance and low losses at a beam voltage of 13 kV. An efficient coupler with reduced length is designed to connect the DCW to WR-2 standard rectangular waveguide. Particle in Cell (PIC) simulations are performed using CST particle studio. The results show that the BWO can produce 500 mW cw output power.

A system of categorization and classification based on certain criteria

Gyorodi, Robert, Gyorodi, Cornelia, Tontea, Anamaria, Bandici, Livia | Computers Communications and Control (ICCCC), 2016 6th International Conference on (v.2016 / no.5 / pp.208-212 / 2016)

This paper proposes a new system of categorization and classification using data mining techniques based on certain criteria/topics. We describe the design and implementa

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This paper proposes a new system of categorization and classification using data mining techniques based on certain criteria/topics. We describe the design and implementation of proposed system that automatically categorizes a restaurant as being good or bad, using data mining techniques, based on users' reviews. For this study we took a data set consisting of approximately 9,000 reviews for 2,355 restaurants in Romania. The categorization was done on four criteria/topics: food, service, prices, atmosphere, and the results are represented as a range for each topic separately.

Simulation of stroke care systems

Monks, Thomas, Pearn, Kerry, Allen, Michael | Winter Simulation Conference (WSC), 2015 (v.2015 / no.12 / pp.1391-1402 / 2015)

Stroke is major cause of disability internationally, the leading cause of disability in England, and the third most common cause of death worldwide. The good news is that

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Stroke is major cause of disability internationally, the leading cause of disability in England, and the third most common cause of death worldwide. The good news is that there is growing evidence that simulation modeling can play an important role in understanding and designing improvements in acute stroke systems in order to reduce this disability burden. This paper presents an overview of simulation methodology to tackle logistical and capacity planning problems in stroke. Four contributions are made to accelerate studies in this area. First, a grounding in the basic processes and operational issues that occur in stroke pathways is given. Second, modeling approaches for single and multiple hospitals in emergency and rehabilitation settings are described along with guidance on selection of performance measures. Third, common data issues are highlighted. Last, a range of model simplifications are presented to mitigate potential data and complexity issues that are inherent to stroke systems.

Numerical decomposition of symmetric linear systems

Danielson, Claus, Bauer, Stefan | Decision and Control (CDC), 2015 IEEE 54th Annual Conference on (v.2015 / no.12 / pp.2061-2066 / 2015)

This paper proposes a method for numerically decomposing symmetric linear systems. We define system symmetries as transformations of the inputs, outputs, and states that

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This paper proposes a method for numerically decomposing symmetric linear systems. We define system symmetries as transformations of the inputs, outputs, and states that do not change the system behavior. We show that symmetric systems can be decomposed into decoupled subsystems. We provide an algorithm for performing this decomposition that uses the input-output symmetries and minimal realizations to calculate the decomposition.

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.

An efficiency measure for road transportation networks with application to two case studies

Terelius, Hakan, Johansson, Karl Henrik | Decision and Control (CDC), 2015 IEEE 54th Annual Conference on (v.2015 / no.12 / pp.5149-5155 / 2015)

Enabling efficient transportation is a major challenge for large cities, as the transportation need is increasing, while the environmental impact has to be minimized. In

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Enabling efficient transportation is a major challenge for large cities, as the transportation need is increasing, while the environmental impact has to be minimized. In this paper, we define an efficiency measure that shows how much of the current transportation mileage that is really necessary to meet all the transportation assignments. We show that the efficiency measure can be computed efficiently as a minimum cost flow, and we apply it on two case studies. The first case demonstrate the efficiency measure on a freight transportation system, and the second case computes the measure for a large real-world data set from the New York City taxis.

Identification of dynamics of humanoids: Systematic exciting motion generation

Jovic, Jovana, Philipp, Franck, Escande, Adrien, Ayusawa, Ko, Yoshida, Eiichi, Kheddar, Abderrahmane, Venture, Gentiane | Intelligent Robots and Systems (IROS), 2015 IEEE/RSJ International Conference on (v.2015 / no.9 / pp.2173-2179 / 2015)

The mass parameters of robots influence performances of model-based control and validation of the simulation results. The mass parameters provided by CAD data are usually

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The mass parameters of robots influence performances of model-based control and validation of the simulation results. The mass parameters provided by CAD data are usually rough approximation of the true parameters. Therefore several methods for estimation of those parameters have been proposed. Their precision depends on the used motion, called optimal exciting trajectories. This paper describes a new approach to determine humanoid robot exciting trajectories for mass parameters identification. The method was inspired by the studies done in the field of human mass parameters identification, and it is based on observation of condition numbers of sub-regressor matrices created from the columns of the regressor matrix. The method has been experimentally applied to identify mass parameters of HRP-2 and HRP-4 humanoid robots. The proposed method is able to reconstruct ground reaction forces and force moments more accurately than parameters obtained from CAD data.

Morphological decomposition in second language derivational processing

Zhang, Beizhen | Information and Automation, 2015 IEEE International Conference on (v.2015 / no.8 / pp.1743-1747 / 2015)

In order to detect the morphological decomposition in L2 processing of polymorphemic words, the present study has used one behavioral task #x2014;the masked priming to mo

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In order to detect the morphological decomposition in L2 processing of polymorphemic words, the present study has used one behavioral task #x2014;the masked priming to monitor the online L2 derivational processing. Experiment results showed great priming effects when the derived words were presented before their stems (e.g., speaker-speak), indicating the morphological decomposition in L2 processing. It was also discovered that, the decomposition takes place for all the derived words, regardless of participants' familiarity with them. Based on these results, it was proposed that, the morphological decomposition is an automatic processing mechanism for polymorphemic words. As a universal mechanism, it can be used by both L1 and L2 speakers. Based on these findings, it is suggested that, the natural language processing and artificial language decoding research should stress the discovery and application of universal language patterns.

A cross-cultural exploration of spatial visualisation abilities of first year STEM students: Students from Gulf States and Ireland

Farrell, Stephanie, Duffy, Gavin, Bowe, Brian | Interactive Collaborative Learning (ICL), 2015 International Conference on (v.2015 / no.9 / pp.922-926 / 2015)

A strong link exists between spatial abilities and academic and professional success in STEM. The development of spatial skills is influenced directly or indirectly by a

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A strong link exists between spatial abilities and academic and professional success in STEM. The development of spatial skills is influenced directly or indirectly by a vast array of factors including academic experiences as well as gender, race, ethnicity, culture, primary language, and socioeconomic status. Numerous previous studies of spatial ability in STEM students have focused on improving spatial skills through interventions to reduce the gender gap and to increase academic success and retention of women in STEM. Cross-cultural variations in spatial ability among the general population are robust, but research is needed to understand whether cross-cultural differences are manifest among the global STEM student population. This paper contributes to that understanding by presenting analysis of the spatial ability of Irish and Gulf States students entering STEM at an institution of higher education in Ireland. The spatial ability of Gulf States students was significantly lower than the spatial ability of Irish students; the spatial ability of both groups was found to be markedly lower than STEM students from the United States, Germany and Poland. The identification and removal of barriers to academic success is of particular interest in the context of current efforts to increase the number of engineering graduates entering the global workforce. This work-in-progress paper also describes the implementation of a targeted intervention to improve the spatial skills of students with weak ability.

Simulation of oil spill using logistic-regression CA model

Yihan Zhang, Jigang Qiao, Bingqi Wu, Weiqi Jiang, Xiaocong Xu, Guohua Hu | Geoinformatics, 2015 23rd International Conference on (v.2015 / no.6 / pp.1-6 / 20152161-024x)

Cellular automata (CA) are considered to be effective models to simulate the behavior of oil spills for overcoming the difficulty of obtaining parameters in numerical mod

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Cellular automata (CA) are considered to be effective models to simulate the behavior of oil spills for overcoming the difficulty of obtaining parameters in numerical models of oil spills. Besides, CA models are convenient to combine geographic information system (GIS) to display the simulation results. This paper presents a new oil spill simulation based on logistic-regression CA model, which easily obtain the weights of the impact factors. The model also can simulate the dynamic changes of oil spill using only a few inputs, such as the initial image, impact factors, and their weights. It was applied to simulate the oil spill in DeepSpill project using five factors, the distance factor, wind, current, temperature, and salinity. Experiments showed that the simulation results are consistent with the verification image with the total accuracy and Kappa coefficient of simulation results as high as 96.8% and 0.834 respectively. We also study the influence of sampling ratio on simulation results. The accuracy improves with the increasing ratio. However, the performances improve only slightly when the ratio reaches 20%. We also analyze the sensitivity of temperature, salinity, winds, currents, and distance. Experiments showed that the simulation results will only expanse around the original area without considering the current and wind. The simulation results will have big model error without considering distance factor. However, less model error occurs in the simulation results without using temperature and salinity.

Analysis of a radial flux hysteresis IPM motor

Rabbi, S. F., Rahman, M. A. | Electrical and Computer Engineering (CCECE), 2015 IEEE 28th Canadian Conference on (v.2015 / no.5 / pp.7-12 / 20150840-7789)

Design of self-start permanent magnet motors over wide operating range has been a challenging topic of interest among the researchers over the last two decades. This pape

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Design of self-start permanent magnet motors over wide operating range has been a challenging topic of interest among the researchers over the last two decades. This paper presents the design and finite element analysis of a novel 1HP 208V 3-phase 4-pole line start radial flux hysteresis interior permanent magnet (IPM) motor. The proposed motor is a solid-rotor self-starting hybrid synchronous motor combining both hysteresis phenomena and permanent magnet excitation inside the rotor. The transient performance analysis results of the hysteresis IPM motor are presented and explained in this paper. Simulation results exhibit that the proposed hysteresis IPM motor has smooth starting and good synchronization capabilities.

Estimating the absolute total electron content, spatial gradients and time derivative from the GNSS data

Yasyukevich, Yu.V., Mylnikova, A.A., Polyakova, A.S. | Radio Science Conference (URSI AT-RASC), 2015 1st URSI Atlantic (v.2015 / no.5 / pp.1-1 / 2015)

Global navigation satellite systems have enabled to study the ionosphere in different regions of the world. The total electron content (TEC) of the Earth ionosphere can b

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Global navigation satellite systems have enabled to study the ionosphere in different regions of the world. The total electron content (TEC) of the Earth ionosphere can be determined from code and phase dual-frequency pseudorange measurements performed by receivers of GNSS signals. This technique is widely described in the literature (B. Hofmann-Wellenhof, H. Lichtenegger, J. Collins. New York: Springer-Verlag Wien, 389 p. 1998). To obtain the absolute TEC values, phase measurements are usually used, because they are weakly noised, and the ambiguity of the initial phase definition is eliminated with code ones. Thus, there occurs a systematic error termed differential code biases (DCBs). To determine absolute TEC accounting for DCBs from the data of a single GPS/GLONASS station as well as spatial gradients and time derivative, we have developed an algorithm. The algorithm includes estimating DCBs by using a simple model of measurements: equation where IV is the absolute vertical TEC value; #x0394; #x25A1;( #x0394;l) is the latitude (longitude) difference between the ionospheric point coordinate #x25A1; (l) and that of the station #x25A1; 0 (l 0 ); #x0394;t is the difference between the measurement time t and the time t 0 , for which the calculation is performed; G #x25A1; = #x2202 #x2202;I V / #x2202; #x25A1;, G l = #x2202;I V / #x2202;l, G q_ #x25A1; = #x2202; lt; #x2202; 2 I V / #x2202; #x25A1; 2 , G q_l = # #x2202; 2 I V / #x2202;l 2 are linear and quadratic spatial TEC gradients; G t = #x2202;I V / #x2202;t and G q_t = # #x2202; 2 I V / #x2202;t 2 are the first and second time derivatives.

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

Liyuan Liu, Linli Xu, Zhen Wangy, Enhong Chen | 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.

Analysis of telemetering service in OpenStack

Dongmyoung, Baek, Bumchul, Lee | Information and Communication Technology Convergence (ICTC), 2015 International Conference on (v.2015 / no.10 / pp.272-274 / 2015)

In Cloud technologies, monitoring is core element of electronic communication device for optimization. Recently OpenStack open monitoring source code (ceilometer) to the

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In Cloud technologies, monitoring is core element of electronic communication device for optimization. Recently OpenStack open monitoring source code (ceilometer) to the public. Ceilometer project monitors and meters the OpenStack cloud for billing, benchmarking, scalability, and statistical purposes. Analysis of Cloud monitoring, is compared with Network function monitoring.

Community alarm system design based on MCU and GSM

Zhaoxia Wang, Hanshi Wang, Lizhen Liu, Wei Song, JingLi Lu | Computer Science and Network Technology (ICCSNT), 2015 4th International Conference on (v.1 / pp.859-862 / 2015)

In this paper, we use GSM mobile network that is the most reliable and matured in this day to achieve community alarm system. And it will directly convey the alarm news i

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In this paper, we use GSM mobile network that is the most reliable and matured in this day to achieve community alarm system. And it will directly convey the alarm news in short message or telephone at manager's mobile phone. The design includes hardware and software parts. Its hardware uses MCU AT89C52 series as the core, and controls three alarm parts, they are infrared monitoring alarm system, alarm displayed on LCD, and GSM module. The system adopted passive infrared sensor to detect, and it turned the traditional network security and anti-theft window into the invisible network, so as to timely handle accidents. When the accident happened in the community, the infrared sensor module sends out the alarm signal to the micro-controller, single chip microcomputer receives the signal through the GSM module to send the message immediately to the manager, and then managers to take immediate measures, the site security alarm and remote alarm can be achieved simultaneously.

A new implementation method of low stiffness for magnetic levitation gravity compensator

Zhang, H., Kou, B., Jin, Y., Zhang, H. | Magnetics Conference (INTERMAG), 2015 IEEE (v.2015 / no.5 / pp.1-1 / 2015)

Magnetic levitation is one of the solutions for high-precision positioning systems due to its non-contact characteristic. Magnetic bearings have the potential of replacin

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Magnetic levitation is one of the solutions for high-precision positioning systems due to its non-contact characteristic. Magnetic bearings have the potential of replacing the air bearings that are used in the semiconductor industry in which the vacuum environment is increasingly required. For the traditional z-actuators in the multi-DOF fine stage, a continuous power loss is inevitable because the z-actuators are required to support the moving mass. Therefore, the heat form the coils will cause the temperature rise and structural distortion, which both deteriorate the positioning accuracy. A good solution is to support the moving mass by passive magnetic force. However, the major difficulty in using passive magnetic force is the highly position-dependent characteristic. From the aspects of positioning accuracy and vibration isolation, the stiffness that are defined as the position dependency of the magnetic force should be kept as low as possible. To date, the main reasons of the stiffness error between theoretical analysis and experiment results are ascribed to assembling error and machining tolerance. However, it is not entirely true for the low-stiffness applications. In this paper, the essential reason causing the stiffness error is analyzed and a new method to realize low stiffness for passive magnetic levitation is proposed.

Community Detection Analysis of Heterogeneous Network

Shuai Du, Kai Niu, Zhiqiang He, Yuqian Qiao | 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.

Effect of crystallite size and precursor molarities on electrical conductivity in ZnO thin films

Belahssen, Okba, Benramache, Said, Benhaoua, Boubaker | Microelectronics (ICM), 2015 27th International Conference on (v.2015 / no.12 / pp.182-185 / 2015)

In present paper, ZnO thin films were deposited using the simple, flexible and cost-effective spray ultrasonic technique at different precursor molarity values. The films

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In present paper, ZnO thin films were deposited using the simple, flexible and cost-effective spray ultrasonic technique at different precursor molarity values. The films deposited on glass substrate at 350 #x00B0;C. The electrical and structural properties were studied as a function of precursor molarity. The as sprayed films exhibit an hexagonal structure wurtzite and (002) oriented with the maximum value of crystallite size G = 31.82 nm is measured of ZnO film sprayed with 0.1 M. The crystallites size in the thin films depend by the defect (less defects), where the minimum defects confirmed the high crystallinity. The maximum value of electrical conductivity of the films is 7.96 ( #x03A9;.cm) -1 obtained in ZnO thin film for precursor molarity 0.125 M. The correlation between the electrical and the structural properties with the precursor molarity suggests that the electrical conductivity of the films is predominantly influenced by the crystallite size and the precursor molarity. The measurement in the electrical conductivity of the films with correlation it is equal to the experimental with the error is about 0.3 % in the higher conductivity.

A Robust Eco-Routing Protocol against Malicious Data in Vehicular Networks

Basaras, Pavlos, Maglaras, Leandros, Katsaros, Dimitrios, Janicke, Helge | IFIP Wireless and Mobile Networking Conference (WMNC), 2015 8th (v.2015 / no.10 / pp.184-191 / 2015)

Vehicular networks have a diverse range of applications that vary from safety, to traffic management and comfort. Vehicular communications (VC) can assist in the ecorouti

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Vehicular networks have a diverse range of applications that vary from safety, to traffic management and comfort. Vehicular communications (VC) can assist in the ecorouting of vehicles in order to reduce the overall mileage and CO2 emissions by the exchange of data among vehicle-entities. However, the trustworthiness of these data is crucial as false information can heavily affect the performance of applications. Hence, the devising of mechanisms that reassure the integrity of the exchanged data is of utmost importance. In this article we investigate how tweaked information originating from malicious nodes can affect the performance of a real time eco-routing mechanism that uses Dedicated Short Ranged Communications (DSRC), namely Erou Ve. We improve the routing decision mechanism of the original algorithm and also develop and evaluate defense mechanisms that exploit vehicular communications in order to filter out tweaked data. We prove that our proposed mechanisms can restore the performance of the Erou Ve to near its optimal operation and can be used as a basis for protecting other similar traffic management systems.

Investigation of native oxide removing from HCPA ALD grown GaN thin films surface utilizing HF solutions

Deminskyi, Petro, Haider, Ali, Biyikli, Necmi, Ovsianitsky, Alexander, Tsymbalenko, Alexander, Kotov, Dmitry, Matkivskyi, Vladyslav, Liakhova, Nata, Osinsky, Vladimir | Electronics and Nanotechnology (ELNANO), 2016 IEEE 36th International Conference on (v.2016 / no.4 / pp.128-131 / 2016)

The paper consider oxygen contamination of HCPA ALD grown GaN films under an air conditioning and during different time duration. High resolution XPS analysis of HCPA ALD

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The paper consider oxygen contamination of HCPA ALD grown GaN films under an air conditioning and during different time duration. High resolution XPS analysis of HCPA ALD grown GaN films after diluted 1:10 HF(41 %): H 2 O and undiluted HF (41 %) influence on oxygen impurities was investigated. Lesser oxygen impurities have been observed. Better resistivity to oxygen atoms of GaN thin films after diluted HF solution treatment was achieved compared to undiluted HF treatment and without treatment.