Fuel consumption in a driving test cycle by robotic driver considering system dynamics

Hirata, N., Mizutani, N., Matsui, H., Yano, K., Takahashi, T. | Robotics and Automation (ICRA), 2015 IEEE International Conference on (v.2015 / no.5 / pp.3374-3379 / 2015)

In vehicle performance tests, fuel consumption, the components of exhaust gas, and mileage are measured on a chassis dynamometer that simulates the road load. It is diffi

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In vehicle performance tests, fuel consumption, the components of exhaust gas, and mileage are measured on a chassis dynamometer that simulates the road load. It is difficult even for a professional driver to maintain speeds within the tolerance band of driving test cycles. Thus, there has long been an expectation that robotic drivers will be able to test vehicle performance with high reproducibility. In previous studies of robotic drivers, the improvement of tracking performance has been studied for each driving test cycle. In this study, we proposed a control system for realizing a driving test with smooth pedal use and low fuel consumption. We derived a set reference speed profile within a tolerance band from a driving test cycle standard. First, we performed a vehicle pre-test with a professional driver. From this driving test, we found that the square value of the power consumed by the vehicle was effective for driving with smooth pedal operation. Therefore, we proposed an objective function considering the square value of the power. We then derived the reference speed in a driving test cycle tolerance band for the robotic driver by the proposed method. Finally, we performed the vehicle test using the robotic driver. In the test, we used a standard JC08 chassis dynamometer, a moving averaged JC08 waveform, and the proposed speed waveform. We made sure that the proposed system was effective using the results of the actual vehicle tests.

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.

Community based routing scheme for future Internet considering PLM systems

Bathla, Yatish | Applied Machine Intelligence and Informatics (SAMI), 2016 IEEE 14th International Symposium on (v.2016 / no.1 / pp.205-210 / 2016)

Internet plays an increasingly significant role in our modern life style for our society, educational institution, engineering systems and industrial applications. It ser

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Internet plays an increasingly significant role in our modern life style for our society, educational institution, engineering systems and industrial applications. It serves billions of users worldwide every day by carrying an extensive range of traffic from sources to desired destinations. Along with these advances, inter-domain routing nodes of internet are facing challenging issues like scalability. Path vector routing scheme is not sufficient to cope with this issues for building future internet. There are many different Advance Routing schemes available in the literature for solving the problem. Thorup Zwick routing scheme (TZ scheme) is one of the promising Compact Routing scheme, offering many benefits such as guaranteeing sub-linear state growth with the size of the network by introducing cluster nodes, landmark routing and incurring path stretch. However, the extra burden of routing table size in landmark nodes is an important issue which can generate scalability issues for landmark nodes. This paper tries to solve the scalability problem of internet by making modification in Thorup Zwick (TZ) scheme. we introduce a new concept named community in the topology of internet, re-define cluster nodes and replace landmark nodes with proposed community nodes in the network. The proposal organizes internet in an efficient way by defining new set of rules for inter-domain nodes and reduce routing table size in a prominent amount. The proposal provides an organized, simpler and effective routing scheme. A discrete event simulation study is used to verify the benefits of new scheme. Our simulation results show that the proposed scheme is capable to cope scalability issues of inter-domain nodes, handle generated traffic considering PLM systems and build an efficient future Internet.

Heat treatment of epoxy resin used for BGA chip capillary underfilling from thawing to curing

Dinnyes, Csaba, Szappanos, Sandor | Electronics Technology (ISSE), 2015 38th International Spring Seminar on (v.2015 / no.5 / pp.118-123 / 2015)

This paper describes the thermal management of an epoxy resin used for Ball Grid Array type chips capillary underfilling. The setup and validation procedure involving som

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This paper describes the thermal management of an epoxy resin used for Ball Grid Array type chips capillary underfilling. The setup and validation procedure involving some safe-launch activity part of a New Product Launch is focusing on the heat treatment of glue from technical, quality and productivity standpoint. It describes a self-designed and built preconditioning device as well as all lab measurement and thermal analysis carried out prior to launching a new production line of Continental in the Budapest factory.

Co-simulation for a flexible four-bar mechanism

Lee, Fu-Shin, Lin, Chen-I, Chen, Zhi-Yu | Advanced Robotics and Intelligent Systems (ARIS), 2015 International Conference on (v.2015 / no.5 / pp.1-5 / 2015)

The main objective of this study is to establish a virtual prototyping model of a flexible four-bar mechanism and perform co-simulations using both mechanism model constr

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The main objective of this study is to establish a virtual prototyping model of a flexible four-bar mechanism and perform co-simulations using both mechanism model construction and control strategy development tools for the structure. Taking the four-bar mechanism as an example, a co-simulation control approach is introduced to study multi-body flexible dynamics. Lagrange approach is first implemented to study the dynamics model of a rigid four-bar mechanism, and co-simulations are conducted to investigate the responses of its flexible form made of various materials. Then, controller strategies are exercised to demand the four-bar mechanism to response as requested. The study verifies the feasibility to control of flexible multi-body mechanisms' traces.

A Proposed Cultural Difference Detection Method Using Data from Japanese and Chinese Wikipedia

Yoshino, Takashi, Miyabe, Mai, Suwa, Tomohiro | Culture and Computing (Culture Computing), 2015 International Conference on (v.2015 / no.10 / pp.159-166 / 2015)

Multilingual communications often have the potential to cause misunderstanding, because even when people use the same word, they may not understand each other's culture.

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Multilingual communications often have the potential to cause misunderstanding, because even when people use the same word, they may not understand each other's culture. To prevent such misunderstandings, people should factor cultural differences into modern communications. However, it is difficult to judge such differences without knowledge of other cultures. We therefore propose a cultural difference detection method using Wikipedia as a database of multilingual knowledge. Data analysis revealed feature in the text and category, and others of the articles on Wikipedia. Accordingly, our proposed method incorporates these features. Based on our findings, we present a proposed method that can accurately detect various cultural differences. We found that the following features of an article are important for detecting cultural differences: (1) An article is not explained from a global viewpoint. (2) An article about Japan is mentioned by the Japanese version of Wikipedia. (3) An article that presents a positive view of China is not mentioned by the Chinese version of Wikipedia. (4) An article in each language version of Wikipedia has not mentioned each country.

Measuring the maturity of open source software

Houaich, Youssef Ait, Belaissaoui, Mustapha | Information Systems and Economic Intelligence (SIIE), 2015 6th International Conference on (v.2015 / no.2 / pp.133-140 / 2015)

There are a number of reasons that encourage the use of open source software `OSS' such as: cost savings, fast time-to-market and high-quality software[1]. Various organi

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There are a number of reasons that encourage the use of open source software `OSS' such as: cost savings, fast time-to-market and high-quality software[1]. Various organizations have considered the use of free software in their IT infrastructure for economic, security or other reasons. With a large number of free software available on the internet, choosing the best one has become a daunting task. In order to solve this problem, different methods have been proposed. In this paper, we propose a new method to 'measure the maturity of free software' which is relevant and easy to be adopted especially for small and medium enterprises. To evaluate our approach, we tested it in more than twenty companies in order to choose the best free software that will meet their real needs.

Identification of nonlinear systems with nonlinear parameterization

Flores-Perez, A., Grave, Ileana, Yu Tang | Control Conference (ECC), 2015 European (v.2015 / no.7 / pp.610-615 / 2015)

A contraction based identification scheme for systems with nonlinear parameterizations is developed in this paper. Given a system with a general parameterization, an iden

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A contraction based identification scheme for systems with nonlinear parameterizations is developed in this paper. Given a system with a general parameterization, an identification model is proposed such that time evolution of estimation error is composed by two blocks of parameterization: one linear and one nonlinear function of linear parameterization. A particular identification algorithm, based on the proportional-integral adaptive scheme, is then formulated. Exponential convergence among the underlined and desired identification systems trajectories is analyzed by means of an averaged version for contraction.

Simulation of Radiated Noise signature of a marine vessel

Krishna Kumar, G. V., Padmanabam, M., Sree, M. Bhagya, Sairam, M. V. S. | Underwater Technology (UT), 2015 IEEE (v.2015 / no.2 / pp.1-4 / 2015)

Performance evaluation of passive devices such as ship board sonars, sea bed arrays, sonobuoys and underwater mines is carried out using simulated Radiated Noise (RN) sig

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Performance evaluation of passive devices such as ship board sonars, sea bed arrays, sonobuoys and underwater mines is carried out using simulated Radiated Noise (RN) signature of marine vessels such as surface ships, submarines, high speed boats, torpedoes etc, RN signature simulators developed so far have only been able to simulate static features of RN signature such as tonal components superimposed on the broad band propeller cavitation noise, ignoring the dynamic features imposed by the environment and Doppler imposed by source receiver motions. The time domain RN signature simulation model proposed in the current paper takes care of all the environment factors, multipath imposed by boundaries and Doppler due to source receiver motion. The model was developed and implemented in MATLAB #x00AE; . The simulated data has exhibited the dynamic features such as multipath and Doppler on RN signature which are important for evaluating the passive devices.

Numerical decomposition of symmetric linear systems

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

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

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

Mining gold in senior executives' pockets: An online automatically trading strategy

Chao Ma, Xun Liang | Machine Learning and Cybernetics (ICMLC), 2015 International Conference on (v.1 / pp.151-156 / 2015)

Online financial news is an important part of financial Big Data. In this paper, we propose a model to promptly recognize valuable news about senior executives' behavior

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Online financial news is an important part of financial Big Data. In this paper, we propose a model to promptly recognize valuable news about senior executives' behavior and an online automatically trading strategy based on the model. Our model consists of three phases. First, word segmentation and keyword extraction are employed to quantify the financial text. For a better efficiency and promptness, manifold learning is utilized to reduce the dimension of keyword vector. Second, the idea of financial event study is utilized to judge whether a specific type of news could produce significantly positive or negative return. Third, support vector machine is employed to recognize the specific financial news and associate the quantified text with the stock return. Experiments show that the recognition work performed excellently and the behavior of increasing shareholdings produces significant positive return. Our online automatically trading strategy based on the model obtained a return of 55.62%, outperforming three main benchmarks in the same period, 4.52%, 12.47% and -6.89% respectively.

Simulation of film structures for CMOS image sensors

Kuo-Tsai Wu, Sheng-Jye Hwang, Wei-Min Tsai | Microsystems, Packaging, Assembly and Circuits Technology Conference (IMPACT), 2015 10th International (v.2015 / no.10 / pp.365-368 / 2015)

This study will use ANSYS, the commercial finite element analysis software, to simulate the thin film stacked in different processes on CMOS image sensors. For example, t

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This study will use ANSYS, the commercial finite element analysis software, to simulate the thin film stacked in different processes on CMOS image sensors. For example, the process of color filter stacks will observe the impact with the different stacking structure and electronic properties (leakage current), and using the results to further optimize the structure of thin film stacked or change the film material to achieve the best performance. We use 2D simulation and simplification model to improve simulation efficiency, then modifying material parameters and discussing with stress singularity will get more accurate results. From the study, the film structure will produce residual stress when cooling to room temperature because of materials with the different coefficients of thermal expansion. Comparing of simulation and experiment results will find a trend: When the stress is higher and the leakage is higher; the stress is lower and the leakage is lower. This trend caused by the high stress induced defects, then defects induced high leakage current. The study will use the computer simulation to make the shorter research time, lower experimental costs, and enhancing the defect-free rate of products.

Microwave treatment of agricultural soil samples

Cicatelli, A., Guarino, F., Castiglione, S., Grimaldi, M., Di Luca, A., Esposito, D., Bisceglia, B. | Microwave Symposium (MMS), 2015 IEEE 15th Mediterranean (v.2015 / no.11 / pp.1-3 / 2015)

Samples of agricultural soil, sown with Eruca sativa Mill. or Portulaca oleracea L., underwent to different microwave (MW) treatments in reverberating chamber (Incident P

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Samples of agricultural soil, sown with Eruca sativa Mill. or Portulaca oleracea L., underwent to different microwave (MW) treatments in reverberating chamber (Incident Power = 600 W), varying in the exposure time. Brief treatment with MWs caused a decrease of P. oleracea seed germination up to 30-50 %, relative to controls, whilst seeds of E. sativa, underwent to the same MW treatments (Incident Power 100 W, T1 = 1 min, T2= 30 sec and T3 = 2 min), did not influence seed germination. However, the T2 MW treatment strongly inhibited seed germination. The MW exposition clearly influences germination of the assayed seeds, consequently this methodology might be particularly effective in weed and pest control of agricultural soils.

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.

Experiments on neural networks with different configurations for electroencephalography (EEG) signal pattern classifications in imagination of direction

Wakamizu, So, Tomonaga, Kenta, Kobayashi, Jun | Control System, Computing and Engineering (ICCSCE), 2015 IEEE International Conference on (v.2015 / no.11 / pp.453-457 / 2015)

Here we present experimental results of classification methods for brain activity in the imagination of direction. We used a wireless portable electroencephalography (EEG

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Here we present experimental results of classification methods for brain activity in the imagination of direction. We used a wireless portable electroencephalography (EEG) headset in our preceding study to collect EEG data from subjects in experiments, during which the subjects imagined arrows indicating one of the four directions: up, down, right, and left. The implemented classification methods consisted of a band-pass filter, fast Fourier transformation, principal component analysis, and neural network. We have applied neural networks with different configurations to the EEG data used in the preceding study in order to improve the classification rate. The experiments conducted in this study demonstrated some improvement results.

Community-based prediction of activity change in Skype

Teinemaa, Irene, Leontjeva, Anna, Dumas, Marlon, Kikas, Riivo | Advances in Social Networks Analysis and Mining (ASONAM), 2015 IEEE/ACM International Conference on (v.2015 / no.8 / pp.73-80 / 2015)

A key problem for facilitators of online communication and social networks is to identify users whose activity is likely to change in the near future. Such predictions ma

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A key problem for facilitators of online communication and social networks is to identify users whose activity is likely to change in the near future. Such predictions may serve as basis for targeted campaigns aimed at sustaining or increasing overall user engagement in the network. A common approach to this problem is to apply machine learning methods to make predictions at the level of individuals. These approaches consider only information about each individual user and, thus, do not exploit the social connections and structure of the network. In this paper, we approach the problem of activity change prediction at the level of communities rather than individuals. We develop predictive models of activity change over communities obtained using state-of-art community detection methods and compare their predictive power with each other and against the single-user baseline and ego networks. The results show that community-level prediction models achieve higher prediction accuracy than the traditional single-user approach, whereas a local community detection algorithm outperforms a global modularity-based method.

Community Detection in Multi-dimensional Network

Xiaolin Chen, Guohui Han, Lin Yuan, Qiang Huang | Computational Intelligence and Design (ISCID), 2015 8th International Symposium on (v.1 / pp.598-601 / 2015)

Community structure is one of the hidden characteristics of complex network topology. Detecting the community structure is crucial to understand and utilize the network s

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Community structure is one of the hidden characteristics of complex network topology. Detecting the community structure is crucial to understand and utilize the network structure. Existing methods are mostly detecting the community on a one-dimensional network, which is based on only one kind of relationship between the nodes. In this paper, as the prerequisite that there are various ways of people connection in real world, we modeling the multiple relationships of group members in the complex network as a multi-dimensional network. Then we used the traditional community detection to infer the community structure from each dimension of our model. Finally, we define the sibling matrix to map the inferred different community structures from the multi-dimensional network into a comprehensive association, so we can find the hidden community of the complex network. Experimental results show that compared with existing algorithms, the proposed algorithm has higher performance.

Predicting the chloride penetration of mineral admixture concrete exposure at salt lake site

Li-ming Zhang, Yu Hong-fa | Grey Systems and Intelligent Services (GSIS), 2015 IEEE International Conference on (v.2015 / no.8 / pp.544-546 / 2015)

A model for predicting chloride penetration in concrete under long-term exposure in a salt lake environment was developed. The empirical model was based on 0.5-, 0.75-, 1

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A model for predicting chloride penetration in concrete under long-term exposure in a salt lake environment was developed. The empirical model was based on 0.5-, 0.75-, 1-, 2-year investigation of concrete in a salt lake site. Regression analysis of the data was carried out by applying Fick's second law of diffusion to generate an empirical formula for chloride concentration in concrete. The model used mineral admixture content, distance from the concrete surface, and exposure time. The results show that: (1) With the increase of mineral admixture content the chloride diffusion of concrete decrease. (2) The model can predict chloride concentration at any depth of cement and admixture concretes in a salt lake environment at any exposure period longer than 2 years. (3) Admixture strongly affected chloride diffusion in concrete; higher admixture replacement clearly produced better chloride resistance in concrete under a salt lake environment.

Community based sensing: A test bed for environment air quality monitoring using smartphone paired sensors

Jafari, Hossein, Xiangfang Li, Lijun Qian, Yuanzhu Chen | Sarnoff Symposium, 2015 36th IEEE (v.2015 / no.9 / pp.12-17 / 2015)

Awareness of our surrounding environment is very important. Traditional stationary air quality and pollution monitoring systems which installed in dedicated locations are

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Awareness of our surrounding environment is very important. Traditional stationary air quality and pollution monitoring systems which installed in dedicated locations are usually bulky and expensive, and they may not be able to measure at locations of our interest. In this study, we propose a novel framework of an environment air quality monitoring system using a community-based approach. Leveraging on the high penetration of smartphones and low cost and small form factor of certain sensors that can be carried on a key chain with a Bluetooth module, critical measurements such as air quality can be measured by each sensor carried by a member of a community, and be sent to that person's smartphones, and eventually uploaded to a web portal using a corresponding app. Then the aggregated and processed data at the server side can be visualized and shared among the community members and publish through social networks. In this project, we have designed the architecture of the proposed community sensing system, and implemented the system using commercial off-the-shelf (COTS) Sensordrone paired with Android #x00A9; smartphones. Our system measure temperature, humidity, pressure, carbon monoxide, and battery charge level in real-time and it will provide location based services to users. Extra sensors such as ozone and radiation sensors can be added as well.

Systematic review of literature: Educational games about electric energy consumption

Nishida, Adriana Keiko, Braga, Juliana Cristina | Frontiers in Education Conference (FIE), 2015. 32614 2015. IEEE (v.2015 / no.10 / pp.1-8 / 2015)

This paper presents the process and the result of a systematic literature review about educational games in which the main theme is electricity consumption, executed from

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This paper presents the process and the result of a systematic literature review about educational games in which the main theme is electricity consumption, executed from January to March 2014. The systematic review is characterized by the use of a method that aims to answer the questions of the researcher with rigor in the search, making trends and biases of the researcher interfere as little as possible on the results. The research questions raised were: 1) Are there educational games about electric power consumption? 2) How were these games used? The theme choice was made as a result of the environmental issues assigned to it and the consequences that consumption can generate. The result of the work, obtained from a survey in the ACM Digital Library, Elsevier (Science Direct) and Springer scientific research bases, revealed the existence of seven papers, which responded the questions made. The results indicate a lack of papers in which use approaches of the games are reported - highlighting the need for further investigation and share. It is believed that this work contributes to the academic community by presenting a list of games and their uses, and the knowledge from this type of research serves as an incentive for new games and different approaches to be designed and created.