씽크존

Identification of stable models via nonparametric prediction error methods

Romeres, Diego, Pillonetto, Gianluigi, Chiuso, Alessandro | Control Conference (ECC), 2015 European (v.2015 / no.7 / pp.2044-2049 / 2015)

A new Bayesian approach to linear system identification has been proposed in a series of recent papers. The main idea is to frame linear system identification as predicto

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A new Bayesian approach to linear system identification has been proposed in a series of recent papers. The main idea is to frame linear system identification as predictor estimation in an infinite dimensional space, with the aid of regularization/Bayesian techniques. This approach guarantees the identification of stable predictors based on the prediction error minimization. Unluckily, the stability of the predictors does not guarantee the stability of the impulse response of the system. In this paper we propose and compare various techniques to address this issue. Simulations results comparing these techniques will be provided.

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

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

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

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

A systematic method to evaluate energy performance offive-star hotel buildings in China

Qi, Meiwei, Li, Xiaofeng, Li, Haoru | Building Efficiency and Sustainable Technologies, 2015 IEEE International Conference on (v.2015 / no.8 / pp.107-112 / 2015)

Five star hotels have become one of the most energy intensive building types in China. For this research, a detailed survey of 21 live star hotels in China was conducted

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Five star hotels have become one of the most energy intensive building types in China. For this research, a detailed survey of 21 live star hotels in China was conducted from July 2013 to May 2014. An overview of the energy data and equipment information of the surveyed hotels is presented, followed by a systematic analysis on the electricity, gas and water usage in five main functional areas of the hotels. These areas are Heating, Air Conditioning, Food and Beverage Services, Laundry, and Guestrooms. The systematic analysis introduces different indexes including an energy consumption index per gross floor area and an index per guest night, which enables hotel managers to effectively determine areas with energy saving potential.

Data-Driven Robust Taxi Dispatch Approaches

Miao, Fei, Han, Shuo, Lin, Shan, Stankovic, John, Wang, Qian, Zhang, Desheng, He, Tian, Pappas, George J. | Cyber-Physical Systems (ICCPS), 2016 ACM/IEEE 7th International Conference on (v.2016 / no.4 / pp.1-1 / 2016)

In modern taxi networks, large amounts of taxi occupancy status and location data are collected from networked in-vehicle sensors in real- time. They provide knowledge of

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In modern taxi networks, large amounts of taxi occupancy status and location data are collected from networked in-vehicle sensors in real- time. They provide knowledge of system models on passenger demand and mobility patterns for efficient taxi dispatch and coordination strategies. Such approaches face a new challenge: how to deal with uncertainties of predicted customer demand while fulfilling the system's performance requirements, including minimizing taxis' total idle mileage and maintaining service fairness across the whole city. To address this problem, we develop a data- driven robust taxi dispatch framework to consider spatial-temporally correlated demand uncertainties. The robust optimization problem has an objective function that is concave in the uncertain demand and convex in the decision variables, and constraints that are convex in the decision variables according to the practical requirements. We design a data-driven algorithm for constructing uncertainty sets of random demand vectors that provide a probabilistic guarantee for the performance of robust taxi dispatch solutions. It guarantees that the probability that the actual dispatch cost under the true demand vector being smaller than the optimal cost of the robust dispatch solutions with the uncertainty sets is greater than a desired probability value. We prove equivalent computationally tractable forms of the robust dispatch problem with the constructed closed convex polytope and second order cone types of uncertainty sets, using the minimax theorem and strong duality. Evaluations on four years of taxi trip data for New York City show that the probabilistic guarantee is satisfied. By selecting a probabilistic guarantee level that does not sacrifice the average cost much, the average demand- supply ratio error is reduced by 31.7%, and the average total idle driving distance is reduced by 10.13% compared with non-robust dispatch solutions.

Community Friend: An empirical approach to solve community problems of Bangladesh

Chowdhury, Mahfuzulhoq, Imteaj, Ahmed, Patwary, Kamrul Hossain, Zaman, Saika | Electrical Engineering and Information Communication Technology (ICEEICT), 2015 International Conference on (v.2015 / no.5 / pp.1-6 / 2015)

Technological advancements have flaunted a substantial maturation concerned with each and every field in the world and is regarded as a blessing for the human being. Tech

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Technological advancements have flaunted a substantial maturation concerned with each and every field in the world and is regarded as a blessing for the human being. Technology succors to diminish our tribulation and makes our life more congenial. In his regards, we propounded an android based application named #x2018;Community Friend #x2019; which aspiration is to collaborate with the society people in different manners. In this application, people can delineate on drug selling, food adulteration, different kinds of community problems like need of road construction, electricity or water problem, sexual harassment, early marriage etc. and the report will be dispatched to the proper authority. Therewithal, people can discover the nearby distressed center with distance through a map. Besides, the application has an attribute of audio section which comprised of different religious sermon and medical advice for motivating people from doing malfeasance.

Cultural Models and their Interplay in Global Software-Engineering Practice

Shah, Hina, Nersessian, Nancy J. | Global Software Engineering (ICGSE), 2015 IEEE 10th International Conference on (v.2015 / no.7 / pp.13-22 / 2015)

Cultural dynamics play a significant role in the unfolding of the global software practice. Research in the other disciplines have utilized the idea of cultural models to

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Cultural dynamics play a significant role in the unfolding of the global software practice. Research in the other disciplines have utilized the idea of cultural models to help researchers investigate cultural influence in their respective fields. Cultural models are defined as the taken-for-granted, pre-supposed models of the world that are shared widely by members of a society and that help the members understand their world and influence their behavior in that world. Utilizing this cultural models idea, we conducted an ethnographically-informed investigation of a global software practice at a large vendor organization in India to uncover some cultural models embedded in the practice. This paper presents an ethnographic account of an escalation situation that occurred in the field. Using this situation as our unit of analysis, we uncovered three cultural models - Agreement, Flexibility, and Trust Cultural Models - that appear to have influenced the organization of the behaviors of the participant members. The findings illustrate how the internalized cultural models influenced the members' behaviors to make decision that conflicted the business prospects (e.g., Agreement Model), the different members internalized different understanding of the cultural elements (e.g., Trust Model), and the cultural models tacitly played the role of 'cultural blind spots' (e.g., Flexibilty Model). Thus, the research demonstrates how the technical system of global software engineering is complexly intertwined with the cultural system of its members.

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.

Identification of structured LTI MIMO state-space models

Chengpu Yu, 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.

A novel approach to identify shared fragments in drugs and natural products

Balasubramanya, Akshay, Thapa, Ishwor, Bastola, Dhundy, Ghersi, Dario | Bioinformatics and Biomedicine (BIBM), 2015 IEEE International Conference on (v.2015 / no.11 / pp.575-580 / 2015)

Fragment-based approaches have now become an important component of the drug discovery process. At the same time, pharmaceutical chemists are more often turning to the na

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Fragment-based approaches have now become an important component of the drug discovery process. At the same time, pharmaceutical chemists are more often turning to the natural world and its extremely large and diverse collection of natural compounds to discover new leads that can potentially be turned into drugs. In this study we introduce and discuss a computational pipeline to automatically extract statistically overrepresented chemical fragments in therapeutic classes, and search for similar fragments in a large database of natural products. By systematically identifying enriched fragments in therapeutic groups, we are able to extract and focus on few fragments that are likely to be active or structurally important as scaffolds. We show that several therapeutic classes (including antibacterial, antineoplastic, and drugs active on the cardiovascular system, among others) have enriched fragments that are also found in many natural compounds. Further, our method is able to detect fragments shared by a drug and a natural product even when the global similarity between the two molecules is generally low. A further development of this computational pipeline is to help predict putative therapeutic activities of natural compounds, and to help identify novel leads for drug discovery.

Simulation of a novel flip-chip antenna in THz region

Haidong Hao, Zhen Tang, Lv Xin | Advanced Materials and Processes for RF and THz Applications (IMWS-AMP), 2015 IEEE MTT-S International Microwave Workshop Series on (v.2015 / no.7 / pp.1-3 / 2015)

In this paper, issues a novel Flip-chip (FC) package model simulation of THz on a chip integrated antenna. Log periodic antenna is designed on a GaAs substrate, with a th

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In this paper, issues a novel Flip-chip (FC) package model simulation of THz on a chip integrated antenna. Log periodic antenna is designed on a GaAs substrate, with a thickness of 100 #x03BC;m. An air bridge of Schottky Diode located at the center of the antenna is protected by using thin-film ceramic layer for supporting layer. About 200 #x03BC;m diameter Au pad on GaAs substrate is connected to the PCB board via thin-film ceramic layer. There is an air chamber underneath the antenna to improve antenna performance and mitigate multilayer structure influence the near filed of antenna. The FC package mode cause simulation results performance to deteriorate. Nevertheless, good performance has been obtained up to around 0.25-0.34 THz ( #x03BB;=1200 #x03BC;m-880 #x03BC;m). Thus, FC processing with thin-film ceramic layer has been proven to be one solution for THz region antenna package. Which can give simplicity and possibility of designing large format arrays on a direct detection or heterodyne detection THz system.

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.

Statistical treatment for trend detection and analyzing of electrical load using programming language R

Keka, Ilir, Cico, Betim | Embedded Computing (MECO), 2015 4th Mediterranean Conference on (v.2015 / no.6 / pp.216-219 / 2015)

The data collected based on the electricity stream in a PowerSystem could be very useful information for electricity companies. This information is related to the electri

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The data collected based on the electricity stream in a PowerSystem could be very useful information for electricity companies. This information is related to the electrical demand of the customers. The aim of this paper is to analyze and to detect the trend of electrical load consume from the customers in an area. This is achieved using the statistical approach on the data collected from the meter reading devices. In this paper is given an overview of the features of electricity and also are calculated some statistical parameters. The statistical treatment is done in the electrical data based on R language.

Decomposition of natural join based on domain-interval fragmented column indices

Ivanova, Elena, Sokolinsky, Leonid | Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2015 38th International Convention on (v.2015 / no.5 / pp.210-213 / 2015)

The paper describes decomposition of natural join relational operator based on the column indices and domain-interval fragmentation. This decomposition admits parallel ex

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The paper describes decomposition of natural join relational operator based on the column indices and domain-interval fragmentation. This decomposition admits parallel executing the resource-intensive relational operators without data transfers. All column index fragments are stored in main memory in compressed form to conserve space. During the parallel execution of relational operators, compressed index fragments are loaded on different processor cores. These cores unpack fragments, perform relational operator and compress fragments of partial result, which is a set of keys. Partial results are merged in the resulting set of keys. DBMS use the resulting set of keys for building the resulting table. Described approach allows efficient parallel query processing for very large databases on modern computing cluster systems with many-core accelerators. A prototype of the DBMS coprocessor system was implemented using this technique. The results of computational experiments are presented. These results confirm the efficiency of proposed approach.

Evaluation of potentials for peak load shifting by means of electric vehicles based on field test measurements

Dost, P., Spichartz, P., Sourkounis, C. | Electrotechnical Conference (MELECON), 2016 18th Mediterranean (v.2016 / no.4 / pp.1-6 / 2016)

Electric vehicles (EVs) and their application raise new questions and pose many new demands. Accordingly, the increasing amount of charging processes by EVs is a new and

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Electric vehicles (EVs) and their application raise new questions and pose many new demands. Accordingly, the increasing amount of charging processes by EVs is a new and growing impact on the grid load. In order to deal with this impact and the resulting demands, load shifting allows the grid load to be adjusted. Taking this into consideration this paper initially analyzes, based on field test measurements, the EVs' occupation and extracts the times they are parked at a charging point. Combining this with the EVs' charging power, options for load shifting are discussed and emulated based on real data. The database includes charging processes of 500 people and a 785.000 km mileage of pure battery electric vehicles with a dc fast-charging option and extended range electric vehicles. The results indicate that EVs can partly be used as grid controlled load without changing the utilization.

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 dual-band hairpin resonator filter

Lekshmy, B. S., Lalu, Gowri, Narayanan, Gayathri, Menon, Sreedevi K. | Signal Processing and Integrated Networks (SPIN), 2015 2nd International Conference on (v.2015 / no.2 / pp.655-658 / 2015)

In this paper, analysis of a dual-band filter using hairpin resonator is presented. By geometrical modifications of a hairpin resonator, bands stop and band pass characte

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In this paper, analysis of a dual-band filter using hairpin resonator is presented. By geometrical modifications of a hairpin resonator, bands stop and band pass characteristics are observed in the frequency spectrum. The variations of the geometrical parameters have been studied in detail and optimized for best filter performance.

Treatment-based traffic classification for residential wireless networks

Feng Li, Claypool, Mark, Kinicki, Robert | Computing, Networking and Communications (ICNC), 2015 International Conference on (v.2015 / no.2 / pp.160-165 / 2015)

As broadband connection capacities increase, residential network users can experience performance degradation when multiple applications run concurrently over bottlenecke

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As broadband connection capacities increase, residential network users can experience performance degradation when multiple applications run concurrently over bottlenecked wireless access points (APs). This paper presents Classification and Treatment iN an AP (CATNAP), a plug-and-play solution, that automatically classifies and treats flows passing through an AP without any user intervention. Implemented in NS-2 and evaluated against DropTail and Strict Priority Queuing under various network and traffic conditions, CATNAP provides better QoS support for VoIP, games and streaming video applications.

Analysis of spatially-coupled counter braids

Rosnes, Eirik, Graell i Amat, Alexandre | Information Theory Workshop - Fall (ITW), 2015 IEEE (v.2015 / no.10 / pp.133-137 / 2015)

A counter braid (CB) is a novel counter architecture introduced by Lu et al. in 2007 for per-flow measurements on high-speed links. CBs achieve an asymptotic compression

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A counter braid (CB) is a novel counter architecture introduced by Lu et al. in 2007 for per-flow measurements on high-speed links. CBs achieve an asymptotic compression rate (under optimal decoding) that matches the entropy lower bound of the flow size distribution. Spatially-coupled CBs (SC-CBs) have recently been proposed. In this work, we further analyze single-layer CBs and SC-CBs using an equivalent bipartite graph representation of CBs. On this equivalent representation, we show that the potential and area thresholds are equal. We also show that the area under the extended belief propagation (BP) extrinsic information transfer curve (defined for the equivalent graph), computed for the expected residual CB graph when a peeling decoder equivalent to the BP decoder stops, is equal to zero precisely at the area threshold. This, combined with simulations and an asymptotic analysis of the Maxwell decoder, leads to the conjecture that the area threshold is in fact equal to the Maxwell decoding threshold and hence a lower bound on the maximum a posteriori (MAP) decoding threshold. Finally, we present some numerical results and give some insight into the apparent gap of the BP decoding threshold of SC-CBs to the conjectured lower bound on the MAP decoding threshold.

Simulation of the Chua's circuit with audio output

Guzan, Milan, Olejar, Martin, Cviklovic, Vladimir, Petrzela, Jiri | Radioelektronika (RADIOELEKTRONIKA), 2016 26th International Conference (v.2016 / no.4 / pp.71-74 / 2016)

This contribution is oriented to extend the possibilities of circuits simulation illustration that can be used in music or sensor technology. A typical example is Chua's

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This contribution is oriented to extend the possibilities of circuits simulation illustration that can be used in music or sensor technology. A typical example is Chua's circuit, which at bifurcation of only one parameter can generate a number of attractors. These can be showed not only in image format, but also as sound using Matlab application. It allows you to do a more complex vision of the bifurcation parameter impact in the circuit to the output signal.

Community recycling models for remanufacturing system

Zhang Minhong, Fu Yuqiang | Control and Decision Conference (CCDC), 2015 27th Chinese (v.2015 / no.5 / pp.3920-3924 / 2015)

This article reports the results of a study that explores the choice of the community recycling channels in the closed-loop supply chain. The used products are collected

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This article reports the results of a study that explores the choice of the community recycling channels in the closed-loop supply chain. The used products are collected by the manufacturer or community service center. A model contains single manufacturer and single community service center was established and solved based on the relationship between unit take-back cost, the beginning investment parameter and the return rate. In addition, we show that simple coordination mechanisms can be designed such that the collection effort of community service center and the supply chain profits are attained at the same level as in a centrally coordinated system. In order to explain the remanufacturing impact on enterprise profits, we also consider the case of no recycling as a comparison.