씽크존

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%.

Human health impact of multifunctional textiles obtained by using plasma technology

Aileni, Raluca M., Surdu, Lilioara, Oksuz, Lutfi | Plasma Sciences (ICOPS), 2015 IEEE International Conference on (v.2015 / no.5 / pp.1-1 / 2015)

Summary form only given. This paper presents aspects regarding human health impact that could have functionalized textile by using plasma nanotechnology. The usage of pla

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Summary form only given. This paper presents aspects regarding human health impact that could have functionalized textile by using plasma nanotechnology. The usage of plasma for textile pretreatment is done for removing the natural impurities and oil residues, which are added during woven structure manufacturing process, and for improving material wettability which is necessary for dyeing, printing, hydrophobization or deposition of medical substances. The textile surface preparations by using plasma nanotechnology is a clean and safety process and improve the washing cycles because by using plasma activation the substance used for treatment is fixed deeper in the textile structure. For preparation of textile structure by using traditional finishing method it is occurring the problem of the residues from wet finishing process which harmful for environment. For example for cotton fiber, conventional wet pretreatment processes include scouring, bleaching and mercerization [1]. These pretreatments remove impurities such as pectin, wax and oil, cotton seed residues, sizing materials [1]. The pretreatment processes require a long treatment time, more chemicals and high treatment temperature, resulting in low production efficiency, high energy consumption and heavy loading in effluent [1]. By using plasma treatment we can obtain chemicals economy, reducing the time necessary for finishing process and the harmful substances. The treatment which could follow to low temperature plasma treatment it is mild and can improve the antimicrobial fabric properties by pretreating the material with colloidal silver or chitosan solutions. The chemical treatment used on textile surfaces functionalized in plasma is energy-saving pretreatment processes. For our work we obtain cotton fabric functionalization by using oxygen plasma treatment for 10 minutes. After this time limit, we observe that the cotton fibers is in accelerated aging process, practically from 20 minutes to 90 minutes plasma treatment the cotton suffer a depolymerization which affect the textile structure resistances (traction, abrasion) [2]. In the case of polyester fabric we observed a good functionalization of the structure after 20 minutes plasma treatment, but after this limit to the interval of 90 minutes plasma treatment the polyester knows an accelerated polymerization [2].

Identification control synthesis by the network operator method

Dang, T. P., Kazaryan, D. E., Diveev, A. I., Sofronova, E. A. | Industrial Electronics and Applications (ICIEA), 2015 IEEE 10th Conference on (v.2015 / no.6 / pp.1559-1564 / 2015)

An identification control is a control of an object which mathematical model is unknown. For such objects initially the problem of identification is solved, and then for

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An identification control is a control of an object which mathematical model is unknown. For such objects initially the problem of identification is solved, and then for the resulting object model the problem of control synthesis is solved. As a result of control synthesis we obtain a multi-dimensional function that describes the dependence of control on the object state. After the implementation of this function in the control unit of the real object, it achieves the goal of control with optimal value of the quality criteria. To solve the identification and synthesis problems we use the method of network operator, which with the help of evolutionary algorithms finds the structure and parameters of the functions describing the model and functional dependence of control from the object state. In this paper, an example of using a network operator to solve the problem of identification control synthesis for a multilink robot is given.

Simulation of oil spill using logistic-regression CA model

Zhang, Yihan, 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.

Object recognition-based mnemonics mobile app for senior adults communication

Pang, Natalie, Foo, Schubert, Raamkumar, Aravind Sesagiri, Xue Zhang, Vu, Samantha | Computing, Communication and Networking Technologies (ICCCNT), 2015 6th International Conference on (v.2015 / no.7 / pp.1-6 / 2015)

There has been an exponential increase in smartphone usage across the globe due to decreasing production costs and a competitive marketplace. Smartphones and mobile inter

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There has been an exponential increase in smartphone usage across the globe due to decreasing production costs and a competitive marketplace. Smartphones and mobile internet services have thrived together to create virtual connections between people. However, there have been very few successful mobile apps developed for assisting senior adults in their day-to-day activities. Our research center has been developing artifacts for helping older adults. In this paper, we present the design and features of an android-based mobile app that has been developed as a mnemonics app. The app utilizes image recognition technology to trigger events using the options of calling phone numbers, sending short message service (SMS) and tweets. Caregivers and family members can map images of everyday target objects to events in the app. Subsequently, seniors can use the app to scan these objects for automatically triggering the pre-defined events, thereby saving time and effort.

Identification of network topology via quadratic optimization

Chuangchuang Sun, Ran Dai | American Control Conference (ACC), 2015 (v.2015 / no.7 / pp.5752-5757 / 2015)

Identification of network topology is to estimate the topology of a controllable and observable network with given number of nodes such that the identified network will s

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Identification of network topology is to estimate the topology of a controllable and observable network with given number of nodes such that the identified network will satisfy the response between specified input and observed output. This paper examines the network topology identification (NTI) problems to find the original graph Laplacian from input-output data. A `similar' set of state-space matrices satisfying the input-output response is firstly constructed through system identification procedure. Based on the similarity relationship, we reformulate the NTI problems as general Quadratically Constrained Quadratic Programming (QCQP) problems. The QCQP problem is then transformed into semidefinite programming (SDP) problem with a rank one constraint. An iterative rank minimization method is proposed to gradually approach the optimal solution. Examples are presented to verify the convergence of the proposed method.

Sodium nickel chloride cell model for stationary electrical energy storage

Benato, R., Sessa, S. Dambone, Crugnola, G., Todeschini, M., Zin, S. | AEIT International Annual Conference (AEIT), 2015 (v.2015 / no.10 / pp.1-6 / 2015)

The purpose of this paper is to present a reliable modelling of sodium-chloride battery in Simulink environment in order to have a powerful tool which is able to foresee

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The purpose of this paper is to present a reliable modelling of sodium-chloride battery in Simulink environment in order to have a powerful tool which is able to foresee the battery behaviour in both discharge and charge operations. The model is based on a wide set of measures (e.g. discharge and charge resistance for different depth of discharge and current rates, etc.). A comparison between the model results and real battery measures, in the same conditions, has been presented.

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

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

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

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

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.

Corporate Sustainability and Business Excellence

Rocha-Lona, Luis, Garza-Reyes, Jose Arturo, Lim, Ming K., Kumar, Vikas | Industrial Engineering and Operations Management (IEOM), 2015 International Conference on (v.2015 / no.3 / pp.1-7 / 2015)

This paper discusses the suitability for Business Excellence Models (BEMs) to include Corporate Sustainability on business model criteria. The conceptual paper brings dis

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This paper discusses the suitability for Business Excellence Models (BEMs) to include Corporate Sustainability on business model criteria. The conceptual paper brings discussion of what sort of measures are required to fit organizations' needs in measuring performance in terms of economic, social, and environment bottom-lines. A literature review has been conducted for BEMs that includes the EFQM Excellence Model, Baldrige Model, ISO standards, GRI, and explores its integration with Corporate Sustainability. Then, an analysis is deployed in order to identify common frameworks and metrics used for assessing sustainability in the three dimensions of bottom-lines. Despite there are better frameworks to assess corporate sustainability, Business Excellence Models (BEMs) were found to be suitable performance measurement frameworks to integrate Corporate Sustainability; however, business criteria remain unclear and ambiguous, not addressing clearly how to measure Corporate Sustainability Performance. The research provides a general approach to explore suitability of BEMs to include corporate sustainability and it is limited in scope as some organizations' have specific maturity levels in both: deploying BEMs and corporate sustainability. Further research include the suitability of current economic systems to reach corporate sustainability, and the use of lean-six sigma methods to support corporate sustainability at strategic and operational levels.

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

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

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

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

Identification of robot dynamic parameters using Jacobi differentiator

Qi Guo, Gautier, Maxime, Da-Yan Liu, Perruquetti, Wilfrid | Advanced Intelligent Mechatronics (AIM), 2015 IEEE International Conference on (v.2015 / no.7 / pp.220-225 / 2015)

This paper investigates the behavior of central Jacobi differentiator in robot identification applications. Jacobi differentiator is a Jacobi orthogonal based algebraic d

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This paper investigates the behavior of central Jacobi differentiator in robot identification applications. Jacobi differentiator is a Jacobi orthogonal based algebraic differentiator. It is applied to compute acceleration from noisy position measurements. Moreover, its frequency domain property is analyzed via a finite impulse response (FIR) filter point of view, indicating clearly the differentiators performance. In the end, a two revolute joints planar robot identification application is presented and comparisons between the Jacobi differentiator and the Euler differentiation combined with Butterworth filter are drawn.

Simulation of the developed electro-thermal aging model based on trapping and detrapping process

Alghamdi, Hisham A., Chen, George, Vaughan, Alun S. | Electrical Insulation and Dielectric Phenomena (CEIDP), 2015 IEEE Conference on (v.2015 / no.10 / pp.787-791 / 2015)

The key aspect of this work is to simulate the evolution of structure damages in polyethylene under the effect of electro-thermal stresses based on the trapping and detra

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The key aspect of this work is to simulate the evolution of structure damages in polyethylene under the effect of electro-thermal stresses based on the trapping and detrapping aging model. In addition, the susceptibility of the model parameters to the isolated sites during the aging period have also been studied. The simulation work is performed on a 2D square grid that is assumed to represent a part of the insulation. The mesh structure is divided using the finite element method. Based on the nature of polyethylene, its structure is semi-crystalline with a spatially varying morphology. Consequently, each bond in the grid is assigned a set of parameter values. One of these parameters is the critical fraction of trapped charges C*, which needs to be reached in order to fail a bond. It is chosen at random values from a range centered on the characteristic value obtained from the experimental results. This indicates that the insulation life at varying parameter C* is lower than its characteristic value.

Provably good max-min-m-neighbor-TSP-based subfield scheduling for electron-beam photomask fabrication

Lin, Zhi-Wen, Fang, Shao-Yun, Chang, Yao-Wen, Rao, Wei-Cheng, Kuan, Chieh-Hsiung | Computer-Aided Design (ICCAD), 2015 IEEE/ACM International Conference on (v.2015 / no.11 / pp.388-395 / 2015)

Electron beam lithography (EBL) has been used for high-resolution photomask fabrication; its successive heating process in a certain region, however, may cause critical d

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Electron beam lithography (EBL) has been used for high-resolution photomask fabrication; its successive heating process in a certain region, however, may cause critical dimension (CD) distortion. As a result, subfield scheduling which reorders a sequence of subfields in the writing process is desirable to avoid the heating problem and thus CD distortion. To consider longer-range heat dissipation, this paper models a subfield scheduling problem with blocked region consideration as a constrained max-min m-neighbor travelling salesman problem (called constrained m-nTSP). To solve the constrained m-nTSP which is NP-complete in general, we decompose a constrained m-nTSP into subproblems conforming to a special case with points on two parallel lines, solve each of them with a provably good linear-time approximation algorithm, and merge them into a complete scheduling solution. In particular, our algorithm can also minimize the distances between successive subfields to alleviate the throughput degradation of EBL writing due to moving a writing head, while minimizing the heating problem. Average reductions of 10% in the maximum temperature and 14% in the distances between successive subfields over the state-of-the-art work can be achieved.

Analysis of Scenarios with Petri-Net Models

Sarmiento, Edgar, Sampaio Do Prado Leite, Julio Cesar, Almentero, Eduardo | Software Engineering (SBES), 2015 29th Brazilian Symposium on (v.2015 / no.9 / pp.90-99 / 2015)

Requirements analysis plays a key role in the software development process. Scenario-based representation is often used for software requirements specification (SRS). Sce

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Requirements analysis plays a key role in the software development process. Scenario-based representation is often used for software requirements specification (SRS). Scenarios written in natural language may be ambiguous, and, sometimes, inaccurate. This problem is partially due to the fact that interactions among scenarios are rarely represented explicitly. As scenarios are used as input to subsequent activities of the software development process (SD), it is very important to enable their analysis, especially to detect flaws or problems due to wrong or missing information. This work proposes a Petri-Net based approach as an effective way to analyze the acquired scenarios. To enable the automated analysis, scenarios are translated into equivalent Place/Transition Petri-Nets. Scenarios and their resulting Petri-Nets can be automatically analyzed to evaluate some properties related to correctness, consistency and completeness. The identified problems can be traced back to the scenarios, allowing their revision. We also discuss how correctness, consistency and completeness of scenario-based SRSs can be decomposed in related properties using the NFR approach. Proposal's workability is demonstrated through two running examples.

Injection direction sensitive spin lifetime model in a strained thin silicon film

Ghosh, Joydeep, Osintsev, Dmitry, Sverdlov, Viktor, Selberherr, Siegfried | Simulation of Semiconductor Processes and Devices (SISPAD), 2015 International Conference on (v.2015 / no.9 / pp.277-280 / 20151946-1569)

The electron spin properties are promising for future spin-driven applications. Silicon, the major material of microelectronics, also appears to be a perfect material for

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The electron spin properties are promising for future spin-driven applications. Silicon, the major material of microelectronics, also appears to be a perfect material for spintronic applications. The peculiarities of the subband structure and details of the spin propagation in ultra-thin silicon films in presence of the spin-orbit interaction and strain are investigated. The application of shear strain dramatically reduces the spin relaxation in such films. We investigate in detail, how spin injection in any arbitrary direction modifies the spin relaxation matrix elements, and finally the spin lifetime in the samples. We demonstrate a two-fold enhancement of spin lifetime, when spin is injected in-plane of the sample, compared to that, when injected along the perpendicular-plane direction.

Senior and learning of ICT: A potential contribution to e-inclusion and for your well-being

Pascoa, Gina, Gil, Henrique | Information Systems and Technologies (CISTI), 2015 10th Iberian Conference on (v.2015 / no.6 / pp.1-6 / 2015)

This paper is within the scope the state of the art that is being carried out on a PhD research related to socio-cultural factors that influence the learning of Informati

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This paper is within the scope the state of the art that is being carried out on a PhD research related to socio-cultural factors that influence the learning of Information and Communication Technologies (ICT), particularly the computer and the Internet in populations with 50 or more years old and the impact on the well-being throughout the aging process. In this sense, it is important to promote strategies that contribute to active aging and to the well-being of seniors in the context of ICT learning. The problem of the digital divide has been a concern involving all citizens. Urge reflect and draw attention to the need to develop practical measures to that senior start to have more educational opportunities to facilitate their infoinclusion to acquire digital skills that allow them to use ICT in order to can increase your well-being.

A moving wireless power transfer system applicable to a stationary system

Fujita, Toshiyuki, Yasuda, Tomio, Akagi, Hirofumi | Energy Conversion Congress and Exposition (ECCE), 2015 IEEE (v.2015 / no.9 / pp.4943-4950 / 2015)

Solving a short mileage and a long charging time is indispensable to putting electrical vehicles (EVs) on the full-scale market. A moving wireless power transfer (WPT) sy

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Solving a short mileage and a long charging time is indispensable to putting electrical vehicles (EVs) on the full-scale market. A moving wireless power transfer (WPT) system is one of the effective solutions, because it can feed electric power to moving EVs. This paper proposes a moving WPT system consisting of several stationary ground-side (primary) coils and a moving vehicle-side (secondary) coil. This system is characterized by the use of the common vehicle-side coil to both moving and stationary WPT situations. Theoretical analysis concludes that the moving WPT system resulting from a stationary WPT system is the same in equivalent circuit as the stationary system. The moving WPT system employs solenoid coils that are superior to circular coils in terms of misalignment and flux-distribution performance. A downscaled moving WPT system rated at 3 kW is designed, constructed, and tested to verify the principles of operation, and the capability of continuous power transfer.

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

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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.

Identification of systems using binary sensors via Support Vector Machines

Goudjil, Abdelhak, Pouliquen, Mathieu, Pigeon, Eric, Gehan, Olivier, M'Saad, Mohammed | Decision and Control (CDC), 2015 IEEE 54th Annual Conference on (v.2015 / no.12 / pp.3385-3390 / 2015)

In this paper, we consider the identification of systems based on binary measurements of the output. The linear part of the system is parameterized by a Finite Impulse Re

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In this paper, we consider the identification of systems based on binary measurements of the output. The linear part of the system is parameterized by a Finite Impulse Response filter and the binary sensor is parameterized by a threshold. The idea is to formulate the identification problem as a classification problem. This formulation allows the use of supervised learning algorithm such as Support Vector Machines (SVM). Simulation examples are given to illustrate the performance of the presented method.