Double-pulse injection seeding of a terahertz quantum cascade laser

Markmann, Sergej, Nong, Hanond, Pal, Shovon, Hekmat, Negar, Scholz, Sven, Kukharchyk, Nadezhda, Ludwig, Arne, Dhillon, Sukhdeep, Tignon, Jerome, Marcadet, Xavier, Bock, Claudia, Kunze, Ulrich, Wieck, Andreas D., Jukam, Nathan | Infrared, Millimeter, and Terahertz waves (IRMMW-THz), 2015 40th International Conference on (v.2015 / no.8 / pp.1-2 / 2015)

Double-pulse injection seeding is used to modify the spectral emission of a terahertz quantum cascade laser (THz QCL). Two broad-band THz pulses delayed in time imprint a

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Double-pulse injection seeding is used to modify the spectral emission of a terahertz quantum cascade laser (THz QCL). Two broad-band THz pulses delayed in time imprint a modulation on the single THz pulse spectrum. The resulting seed enables modification of the QCL emission spectrum, even though, the spectral bandwidth of each THz pulse is much broader than the QCL gain bandwidth. For a proper time delay between the pulses, the seeded THz QCL emission can even be switched from a multimode to a single mode regime.

A decision support system approach for accreditation quality assurance council at higher education institutions in Yemen

Saeed, Fatek, Dixit, Anurag | MOOCs, Innovation and Technology in Education (MITE), 2015 IEEE 3rd International Conference on (v.2015 / no.10 / pp.163-168 / 2015)

Classification is used for discovery of a predictive learning function that classifies data item into one of several predefined classes. e.g., classify universities based

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Classification is used for discovery of a predictive learning function that classifies data item into one of several predefined classes. e.g., classify universities based on students number or based on offered programs, or classify cars based on gas mileage, and Presentation it by decision-tree, classification rule, neural network, and genetic algorithms, etc. It is noted that, there are large amount of data obtained from the universities. We need to evaluate the accurate assessment of the performance of any institution. Currently the decision in ministry of higher education and scientific research is taken randomly, not based on logical analysis. Moreover, the education towards to universal, the ministry of higher education in Yemen has to activate the council of accreditation, and support it to start quickly and effectively. In this paper, we have used approach to assist the council for accreditation to start automation for accreditation operations and mechanisms, that's proposed by using machine learning techniques, also to help decision makers for taking accurate and swift decisions. Our study is used to classify institution that wants to take a license from council to three classes: grant license of accreditation, grand license provided to improvement has done, or not granting accreditation license. We have used the intelligent algorithms for calculate probability of grand accreditation license based on degree of council standards, which we used to predict through a model building to classification by using Nai #x0308;ve Bayes algorithm. The proposed method is typically for evaluation the new institution by depends on evaluation of existing institutions. We experiment the proposed framework by flexible parameters and attributes with private training dataset, that's carefully generated and tested using real life applications. In addition, we implemented our proposed approach as a program.

Supply Chain Management Information Systems and Organisational Performance in economic turbulent environments

Argyropoulou, M., Michaelides, R., Reid, I., Ioannou, G. | Industrial Engineering and Engineering Management (IEEM), 2015 IEEE International Conference on (v.2015 / no.12 / pp.1673-1678 / 2015)

Supply Chain Information Systems (SCIS) and their impact on organisational performance has been studied by a number of studies. This research seeks to extend this body of

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Supply Chain Information Systems (SCIS) and their impact on organisational performance has been studied by a number of studies. This research seeks to extend this body of knowledge by adopting a fresh lens to explore empirically the relationship between organisational performance and SCIS in circumstances of economic downturn and financial turbulence. The statistical relationship between Supply Chain Information Systems (SCIS) #x201C;Effectiveness #x201D; and #x201C;Organisational Performance #x201D; is tested and measured by financial and non-financial variables. So, even though complexities associated with measuring SCIS efficiency and Organisational Performance continue to dominate research discussions, these are somewhat limited to just explaining the phenomenon without addressing the misalignment of the information provided by SCIS, business expectations and Organisational Performance. In consequence, this paper reports findings from a large survey of 168 SCIS managers in Greek SMEs where, even during economic downturn, a strong correlation between SCIS and non-financial Organisational Performance is evidenced. In considering the findings, this study proposes guidance to enhance SCIS Effectiveness and Organisational Performance.

Analysis of Grounding for Pulse Forming Net

Long, Xinlin, Lu, Junyong, Zhang, Xiao, Li, Chao | Intelligent Systems Design and Engineering Applications (ISDEA), 2015 Sixth International Conference on (v.2015 / no.8 / pp.126-129 / 2015)

High-powered pulsed powers supply for shipboard launching device in parallel, every unit can discharge hundreds of thousands of amperes current to the launching device, t

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High-powered pulsed powers supply for shipboard launching device in parallel, every unit can discharge hundreds of thousands of amperes current to the launching device, to satisfy the demand of launching, power units discharge in designed sequence. In order to generate hundreds of thousands of amperes current, power voltage must reach ten thousand volt. So the negative pole of power must be grounded to keep the system safe. Analysis results show that current through grounding connection will be generated when multiple points grounding is adopt, this paper calculates out the current through grounding connection by simulation, at last, this paper put forward that single point grounding is suitable for the pulse forming net system, which can eliminate the current through the grounding connection.

A comparative range approach using the Real World Drive Cycles and the Battery Electric Vehicle

Milligan, Ross, Muneer, Tariq, Smith, Ian | Transportation Electrification Conference (ITEC), 2015 IEEE International (v.2015 / no.8 / pp.1-5 / 2015)

In the UK, a quarter of all CO2 emissions come from transport and 90% of this comes from road vehicles. According to the UK Government (a) at the end of 2013 there were 3

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In the UK, a quarter of all CO2 emissions come from transport and 90% of this comes from road vehicles. According to the UK Government (a) at the end of 2013 there were 35 million vehicles licensed for use on the roads of UK and during 2013, over 4300 new ultra-low emission vehicles (ULEV - vehicles with emissions of CO2 below 75 g/km, or fully electric) were registered for the first time, this is 25% up on 2012. This included over 3600 cars and vans eligible for UK government `plug-in grants' this statistic is nearly 50% more than in 2012. Renault Zoe and the Nissan Leaf were the most popular electric vehicles available to the European market. The purpose of this drive cycle research work is to give the BEV (Battery Electric Vehicle) user an indication of the realistic range that the vehicle can travel without encountering a depleted battery and resulting in vehicle electrical system failure. This is the greatest concern to the user of this technology. In the present work it has been found that the predicted residual mileage (available range) of BEVs can be up to 22% short of what the battery can deliver. There are many mitigating factors and algorithms that are combined to give the driver of the battery electric vehicle an indication of the `distance to empty' as displayed on the car dashboard and this paper will compare the NEDC (New European Driving Cycle) with the dashboard estimation and the Real World Drive Cycle for a range of different routes and drive conditions. If the vehicle is driven in extreme winter conditions then the range could more realistically be reduced by 50% for an average suburban trip when compared with the NEDC figures. This study will address the `range anxiety' discussion that is often voiced when offering the BEV as an alternative to the conventional fuel vehicle [1].

Fuzzy MADM for major selection at senior high school

Khasanah, Fata Nidaul, Permanasari, Adhistya Ema, SuningKusumawardani, Sri | Information Technology, Computer, and Electrical Engineering (ICITACEE), 2015 2nd International Conference on (v.2015 / no.10 / pp.41-45 / 2015)

The major selection of high school students is not only determined on the basis of academic ability but also supported by the interest factor. Students who study a scienc

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The major selection of high school students is not only determined on the basis of academic ability but also supported by the interest factor. Students who study a science which suit their characteristics would feel excited when learning the sciences as well as having much influence in academic achievement positively. The purpose of this study is to optimize the process of major selection on the level of senior high school. The model used in the system of decision support was Fuzzy Multiple Attribute Decision Making (FMADM) by the method of Simple Additive Weighting (SAW). SAW method is selected for this decision support system because this method determines weights for each attribute, then it is followed by ranking process that will select the best alternative from a number of alternatives. The technique of Fuzzy Multiple Attribute Decision Making (FMADM) has the role to accommodate the presence of uncertainty in decision making by providing the value of structured preferences. Research results with FMADM SAW method had the value of accuracy which suits the students' interest as much as 60%, whereas the accuracy obtained in accordance with the reality of majors is as much as 90%.

Simulation selection for empirical model comparison

Zhang, Qiong, Yongjia Song | Winter Simulation Conference (WSC), 2015 (v.2015 / no.12 / pp.3777-3788 / 2015)

We propose an efficient statistical method for the empirical model comparison, which is typically referred to as a simulation procedure to evaluate multiple statistical l

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We propose an efficient statistical method for the empirical model comparison, which is typically referred to as a simulation procedure to evaluate multiple statistical learning algorithms. First, we use experimental designs to appropriately construct the training and test sets for estimating the empirical performances of these models using the mean square errors. Second, we apply the idea of Bayesian fully sequential ranking and selection to optimally allocate the simulation budget according to the value of information. To make the procedure computationally tractable, we assume a normal-Wishart prior distribution, and propose a new approximation scheme for the posterior distribution by matching it with a normal-Wishart distribution using the first-order moment. Numerical experiments are conducted to show the superiority of the proposed approach on empirical model comparison problems.

Assessment of the hydrological response of the watershed through a distributed physically-based modeling for extreme events: Application in the Raghay catchment (Medjerda) (Northern Tunisia)

Gara, Ahlem, Bergaoui, Mohamed, Gader, Khouloud, Mahjoub, Mohamed Raouf | Modeling, Simulation, and Applied Optimization (ICMSAO), 2015 6th International Conference on (v.2015 / no.5 / pp.1-6 / 2015)

This research study consists on the validation of the physically and distributed hydrological model, throw the application of the ATHYS platform for hydrological modeling

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This research study consists on the validation of the physically and distributed hydrological model, throw the application of the ATHYS platform for hydrological modeling, for the case study of a catchment area situated in the left bank of the high valley of the Medjerda basin, the catchment area of the Raghay wadi having an area of approximately 322 km 2 . This watershed is characterized by a very important morphological, climatic and physical variability in time and space, often presenting very important floods because of the not measured flow coming from the Algerian frontier part instead of the large difference of atitude from 165 to 1180 in the Tunisian part. The choice is fixed on six events distributed over three different seasons, recorded on the level of two pluviographic stations for an hour time-step and which control the flow in the discharge system of the catchment area. The parameters of entry of the GREEN and AMPT production function are maps having the variability of the physical parameters of the soil as well as the variation of altitude and of the directions of drainage. The advantage of this function is related on its physical base, and the theoretical possibility to estimate and optimize the parameters starting from data of grounds or #x201C;in situ #x201D; measurements. The evaluated criteria for optimization are the Nash criteria which is varying between 0.73 and 0.98 for the calibration phase, and between 0.62 and 0.75 for the validation for the three seasons, instead of the Arithmetic Mean Error for the volume and the peak flow giving very good errors for the Wintry season, good errors for the Autumnal season and medium errors for the Springer season. The results of simulations show that the selected model is well validated for the Raghay catchment than, its performance in the comprehension of the hydrological answer of a Mediterranean watershed, which provide important information for decision makers in order of protection against floods of the area.

Community and Social Feature-Based Multicast in Opportunistic Mobile Social Networks

Shang, Charles, Wong, Britney, Xiao Chen, Wenzhong Li, Suho Oh | Computer Communication and Networks (ICCCN), 2015 24th International Conference on (v.2015 / no.8 / pp.1-8 / 2015)

Opportunistic Mobile Social Networks (OMSNs), formed by people moving around carrying mobile devices such as smartphones, PDAs, and laptops, have become popular in recent

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Opportunistic Mobile Social Networks (OMSNs), formed by people moving around carrying mobile devices such as smartphones, PDAs, and laptops, have become popular in recent years. The OMSNs we discuss here are a special kind of delay tolerant networks (DTNs) that help enhance spontaneous interaction and communication among users that opportunistically encounter each other, without additional infrastructure support. Multicast is an important routing service in OMSNs which supports the dissemination of messages to a group of users. Most of the existing multicast algorithms are designed for general-purpose DTNs where social factors are neglected or reflected in static social features which are not updated to catch nodes' dynamic contact behavior. In this paper, we introduce the concept of dynamic social features and its enhancement to capture nodes' dynamic contact behavior, consider more social relationships among nodes, and adopt the community structure in the multicast compare-split scheme to select the best relay node for each destination in each hop to improve multicast efficiency. We propose two multicast algorithms based on these new features. The first community and social feature-based multicast algorithm is called Multi-CSDO which involves destination nodes only in community detection, and the second one is called Multi-CSDR which involves both the destination nodes and the relay candidates in community detection. The analysis of the algorithms is given and simulation results using a real trace of an OMSN show that our new algorithms outperform the existing one in terms of delivery rate, latency, and number of forwardings.

Simulation-based electrical safety training

Halpin, Mark, Halpin, Regina, Curtis, Patricia | Environment and Electrical Engineering (EEEIC), 2015 IEEE 15th International Conference on (v.2015 / no.6 / pp.1137-1142 / 2015)

Electrical safety has rapidly risen in prominence in industrial applications due to increased awareness of hazards and risks. There are numerous occupational health and s

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Electrical safety has rapidly risen in prominence in industrial applications due to increased awareness of hazards and risks. There are numerous occupational health and safety organizations around the world that now mandate practices and procedures to maximize electrical safety in the workplace. Training workers to meet these requirements typically follows the standard methods based on seminars and short courses which have been widely used for many years. Maximizing electrical safety, however, cannot be achieved by simply memorizing facts or procedures taught in this environment. The critical aspect of electrical safety lies in the actions of the worker in the workplace-what people do in certain situations when given particular information is based on their higher-level thought process and their sequential decisions and actions. It is not possible to fully train workers in this skillset in advance, and the needs in this area are normally addressed on the job by direct observation and personal interaction. In this paper, a simulation-based electrical safety training module is described that allows the participant to move through a simulated environment while making observations and decisions and taking actions. The ability of the participant to recognize key facts and take appropriate actions when faced with simulated electrical safety scenarios can be scored and evaluated in the same manner as a typical computer game with the total score based on the accumulated choices of the participant. A score threshold can then be used to indicate the level to which the participant has mastered the training scenarios. Determining such a total score is exemplary of the necessary changes in assessment required when using virtual learning environments for training purposes.

Benefits and limitations of social network sites for engineering education mdash; A review study

Klimova, Blanka | Global Engineering Education Conference (EDUCON), 2016 IEEE (v.2016 / no.4 / pp.53-56 / 2016)

Social network sites primarily aim at entertainment, however, there is a possibility of their use in education. Present university students, particularly those in enginee

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Social network sites primarily aim at entertainment, however, there is a possibility of their use in education. Present university students, particularly those in engineering education, seem to be overwhelmingly digital natives since technological devices are part and parcel of their everyday life. Thus, the purpose of this study is to explore benefits and limitations of SNSs with respect to their use in academic environment, with special focus on engineering education. The methods used for the analysis included a method of literature review of available sources in the acknowledged databases such as Web of Science or Springer exploring the issue of social networks sites with respect to engineering education was used. Furthermore, other sources cited in the analysed studies were also examined. Secondly, on the basis of evaluation of these literature sources, the researched issue was explored.

Pellet injection technology and applications on ITER

Baylor, L. R., Combs, S. K., Duckworth, R. C., Lyttle, M. S., Meitner, S. J., Rasmussen, D. A., Maruyama, S. | Fusion Engineering (SOFE), 2015 IEEE 26th Symposium on (v.2015 / no.5 / pp.1-8 / 2015)

Cryogenic pellet injectors for use in fusion research have been under development at Oak Ridge National Laboratory for over 30 years. The original application of the tech

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Cryogenic pellet injectors for use in fusion research have been under development at Oak Ridge National Laboratory for over 30 years. The original application of the technology was to add fuel to magnetically confined plasmas to replace D-T ions that are consumed in the fusion reactions or lost due to transport out of the confining magnetic fields. This application is still the primary use for pellet injection and is planned for implementation on the ITER burning plasma experiment. More recently there have been additional applications for the injection of cryogenic pellets in the areas of disruption and edge localized mode mitigation. Injector systems for these applications are also being implemented for ITER, which require refinements of the technology for production and shattering of very large pellets and production of very small high repetition rate pellets, respectively. Details of these applications and injection system designs are presented.

Cross cultural diversity between western cultures and its impact on educating global engineers

| Interactive Collaborative Learning (ICL), 2015 International Conference on (v.2015 / no.9 / pp.858-862 / 2015)

In this global world, today's engineer is likely to have to work in global international teams with colleagues from other nationalities. The challenge for many engineerin

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In this global world, today's engineer is likely to have to work in global international teams with colleagues from other nationalities. The challenge for many engineering curricula is how to include, in a realistic way, this global dimension and increase the student's awareness of the cultural issues that are encountered. In the Purdue University engineering technology program, an international industry sponsored, multidisciplinary capstone project was created to change attitudes and increase awareness of the challenges engineers will face in global projects. In the international project, half of the team members are students from a non-US university. The global project is carried out using normal internet tools such as email, skype, and blogs. In addition two exchange trips are made with team members traveling to their opposite foreign location. Two projects are underway presently in Germany and Poland with expansion of the program to include France, Finland and Russia in coming years. A gap analysis was done in order to identify what needed to be added to the curriculum for international projects. This analysis was supported by a survey among the students of the participating countries. The Milville-Guzman Universality Diversity Scale (MGUDS-S) survey was selected to investigate what the initial differences might be [1]. This data was used then to develop pedagogical strategies to expand global awareness and ease the execution of multidisciplinary projects. Data using the MGUDS-S survey was collected from several populations from Purdue University, Leibniz University of Hannover, Germany, Gdansk University of Technology in Poland, plus two universities in Russia, Tambov State Technical University and Kazan National Research Technological University. When viewed as a whole population, it appears that this generation of American students is generally not interested in engaging in cross cultural behavior such as festivals, dance, and music. In addition these students do not appear to appreciate the benefits that can be derived from engaging with other cultures. Despite this lack of interest and appreciation, American students are emotionally comfortable with different cultures. Based on these results which are discussed in detail in this paper, pedagogical approaches have been created that address these issues and prepare new engineers to perform well in global teams. These approaches include improved skills in conflict resolution, awareness of closeness issues and development of a strategy to overcome this issue, and content exploring the dimensions of history, music and food.

Research on evaluating and measuring operational risk in commercial banks based on internal control

Baobao Li, Yanfeng Wang | Grey Systems and Intelligent Services (GSIS), 2015 IEEE International Conference on (v.2015 / no.8 / pp.604-610 / 2015)

Operational risk covers all operations of commercial banks and has a close relationship with the bank's internal control. However, in the commercial banks' management pra

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Operational risk covers all operations of commercial banks and has a close relationship with the bank's internal control. However, in the commercial banks' management practice, internal control is always separated from the operational risk measurement. With the increasing of operational risk events in recent years, operational risk has been given more and more attention by regulators and management. The paper first discussed the relationship between internal control and operational risk management and used CVaR-POT model to measure operational risk, and then put forward a modified measurement method (to use operational risk evaluation results to modify the measurement results of the CVaR-POT model). The paper also analyzed the necessity and rationality of this method. The method takes into consideration the influence of internal control. It improves the accuracy and effectiveness of operational risk measurement, and saves the economic capital for commercial banks, avoiding the drawbacks of using some mainstream models one-sidedly.

Near-field injection at die level

Boyer, A., Vrignon, B., Shepherd, J. | Electromagnetic Compatibility (APEMC), 2015 Asia-Pacific Symposium on (v.2015 / no.5 / pp.478-481 / 2015)

Near-field injection is a promising method in order to induce local faults in integrated circuits. This paper aims at proposing a model of the coupling between the inject

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Near-field injection is a promising method in order to induce local faults in integrated circuits. This paper aims at proposing a model of the coupling between the injection probe and the circuit under test. This study relies on measurements performed on a test chip by on-chip voltage sensors.

Identification of structured LTI MIMO state-space models

Yu, Chengpu, Verhaegen, Michel, Kovalsky, Shahar, Basri, Ronen | Decision and Control (CDC), 2015 IEEE 54th Annual Conference on (v.2015 / no.12 / pp.2737-2742 / 2015)

The identification of structured state-space model has been intensively studied for a long time but still has not been adequately addressed. The main challenge is that th

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The identification of structured state-space model has been intensively studied for a long time but still has not been adequately addressed. The main challenge is that the involved estimation problem is a non-convex (or bilinear) optimization problem. This paper is devoted to developing an identification method which aims to find the global optimal solution under mild computational burden. Key to the developed identification algorithm is to transform a bilinear estimation to a rank constrained optimization problem and further a difference of convex programming (DCP) problem. The initial condition for the DCP problem is obtained by solving its convex part of the optimization problem which happens to be a nuclear norm regularized optimization problem. Since the nuclear norm regularized optimization is the closest convex form of the low-rank constrained estimation problem, the obtained initial condition is always of high quality which provides the DCP problem a good starting point. The DCP problem is then solved by the sequential convex programming method. Finally, numerical examples are included to show the effectiveness of the developed identification algorithm.

Thermal treatment and encapsulation of carbon nanotube based temperature sensors

Cagatay, Engin, Abdellah, Alaa, Lugli, Paolo | Ph.D. Research in Microelectronics and Electronics (PRIME), 2015 11th Conference on (v.2015 / no.6 / pp.212-215 / 2015)

We present high-performance temperature sensors which utilize spray deposited carbon nanotube (CNT) films as the active sensing material. In order to evaluate the device

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We present high-performance temperature sensors which utilize spray deposited carbon nanotube (CNT) films as the active sensing material. In order to evaluate the device performance, the change in device resistance with respect to the change in temperature is monitored. The performance of devices are compared with and without encapsulation, then for the same devices the effect of post-fabrication treatment order is observed. Next, another set of devices is used to study the effect of encapsulation material curing conditions on device performance. Results show that the fabricated sensors show very good electrical response to the change in temperature. Relative change in resistance as high as 57% for an increase of temperature from 0 #x00B0;C to 80 #x00B0;C can be achieved. Moreover, devices which are first encapsulated and then heat treated exhibit the highest relative change in resistance during measurements. Curing the encapsulation epoxy using visible light instead of ultraviolet light may also result in improved device performance.

Decomposition via ADMM for scenario-based Model Predictive Control

Kang, Jia, Raghunathan, Arvind U., Cairano, Stefano Di | American Control Conference (ACC), 2015 (v.2015 / no.7 / pp.1246-1251 / 2015)

We present a scenario-decomposition based Alternating Direction Method of Multipliers (ADMM) algorithm for the efficient solution of scenario-based Model Predictive Contr

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We present a scenario-decomposition based Alternating Direction Method of Multipliers (ADMM) algorithm for the efficient solution of scenario-based Model Predictive Control (MPC) problems which arise for instance in the control of stochastic systems. We duplicate the variables involved in the non-anticipativity constraints which allows to develop an ADMM algorithm in which the computations scale linearly in the number of scenarios. Further, the decomposition allows for using different values of the ADMM stepsize parameter for each scenario. We provide convergence analysis and derive the optimal selection of the parameter for each scenario. The proposed approach outperforms the non-decomposed ADMM approach and compares favorably with Gurobi, a commercial QP solver, on a number of MPC problems derived from stopping control of a transportation system.

Schreier decomposition of loops

Nagy, Peter T. | Applied Computational Intelligence and Informatics (SACI), 2015 IEEE 10th Jubilee International Symposium on (v.2015 / no.5 / pp.135-140 / 2015)

The aims of this paper are to find algebraic characterizations of Schreier loops and explore the limits of the non-associative generalization of the theory of Schreier ex

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The aims of this paper are to find algebraic characterizations of Schreier loops and explore the limits of the non-associative generalization of the theory of Schreier extensions. A loop can have Schreier decomposition with respect to a normal subgroup if and only if the subgroup is the middle and right nuclear. In this case the conjugation by elements of the loop induces inner automorphisms on the normal subgroup if and only if the subgroup commutes with a suitable left transversal through the identity. Schreier loops which are Schreier extensions of the same loop by the same normal subgroups are characterized.

Simulation analysis of a real small production process

Haffner, Oto, Kralova, Zdenka | Carpathian Control Conference (ICCC), 2015 16th International (v.2015 / no.5 / pp.153-158 / 2015)

The paper presents a case study on simulation analysis of a real process aiming to improve its performance. The final products are the handmade goods belonged to the cate

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The paper presents a case study on simulation analysis of a real process aiming to improve its performance. The final products are the handmade goods belonged to the category of children's toys. The objects of the analysis are organizational and technological changes, enabling to expand the actual process capacities. Simulation software WITNESS is used for modelling and analysis.