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.

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

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

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

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

Identification of a gain system with binary input and output measurements

You, Keyou, Weyer, Erik, Nair, Girish | Decision and Control (CDC), 2015 IEEE 54th Annual Conference on (v.2015 / no.12 / pp.2453-2458 / 2015)

This paper studies the identification problem of a gain system using both input and output quantized data. Specifically, the system input and the output are separately qu

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This paper studies the identification problem of a gain system using both input and output quantized data. Specifically, the system input and the output are separately quantized into one bit before sent to a remote estimator, which generates a recursive algorithm to identify the system. If the random input is an independent and identical Gaussian process, we develop the identification algorithms respectively by using the empirical measure and the maximum likelihood estimation, which is given in a recursive form by the EM and quasi-Newton iterations. Finally, simulations are included to validate theoretical results.

Identification of transient power quality disturbances based on FCM

Hehong Guo, Qingsheng Zhao, Yuhuan Han | Electric Utility Deregulation and Restructuring and Power Technologies (DRPT), 2015 5th International Conference on (v.2015 / no.11 / pp.2342-2346 / 2015)

This paper presents a new hierarchical identification method for transient power quality disturbance based on fuzzy C-mean clustering (FCM) algorithm. The method consists

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This paper presents a new hierarchical identification method for transient power quality disturbance based on fuzzy C-mean clustering (FCM) algorithm. The method consists of five function modules. By use of the ensemble empirical mode decomposition (EEMD) and singular value decomposition method, we can extract effective feature vectors layer by layer, which are used as the input of FCM. In this way the optimized classified matrix and clustering centers are obtained. According to the Euclidean distance between the unknown-sample records and the known-sample ones, the disturbance type is identified. Simulation results of common kinds of transient disturbances indicate that this method is accurate and has a potential application in engineering.

Data-driven SOH prediction for EV batteries

Gae-won You, Sangdo Park, Sunjae Lee | Consumer Electronics (ICCE), 2015 IEEE International Conference on (v.2015 / no.1 / pp.577-578 / 2015)

As electric vehicles (EVs) have been popularized, research on battery management system (BMS) of EVs' core technology has considerably drawn attention. Among various func

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As electric vehicles (EVs) have been popularized, research on battery management system (BMS) of EVs' core technology has considerably drawn attention. Among various functions of BMS, predicting state-of-health (SOH) that indexes batteries' aging is the most crucial to determine replacement time of the battery or to estimate driving mileage. This paper studies how to predict SOH in practical EV environments where the batteries are charged and discharged dynamically.

Core decomposition in large temporal graphs

Wu, Huanhuan, Cheng, James, Lu, Yi, Ke, Yiping, Huang, Yuzhen, Yan, Da, Wu, Hejun | Big Data (Big Data), 2015 IEEE International Conference on (v.2015 / no.10 / pp.649-658 / 2015)

Core decomposition has been applied widely in the visualization and analysis of massive networks. However, existing studies of core decomposition were only limited to non

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Core decomposition has been applied widely in the visualization and analysis of massive networks. However, existing studies of core decomposition were only limited to non-temporal graphs, while many real-world graphs can be naturally modeled as temporal graphs (e.g., the interaction between users at different time in online social networks, the phone call or messaging records between friends over time, etc.). In this paper, we define the problem of core decomposition in a temporal graph, propose efficient distributed algorithms to compute the cores in massive temporal graphs, and discuss how the technique can be used in temporal graph analysis.

Identification of robot dynamic parameters using Jacobi differentiator

Guo, Qi, Gautier, Maxime, Liu, Da-Yan, 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.

Accessing Cultural Artifacts through Digital Companions: The Effects on Children's Engagement

Rehm, Matthias, Jensen, Martin Lynge | Culture and Computing (Culture Computing), 2015 International Conference on (v.2015 / no.10 / pp.72-79 / 2015)

This paper presents a study that explores how the introduction of a digital companion agent for a museum exploration game changes children's engagement with the presented

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This paper presents a study that explores how the introduction of a digital companion agent for a museum exploration game changes children's engagement with the presented artworks. To this end, a mobile application was developed featuring a monster agent that has eaten the artworks, which the children had now to find in the museum. Results show that in comparison to the paper-based version of the exploration game, children engaged in more interactions with the actual cultural artifacts and showed a significantly higher retention rate for details of the involved artworks.

Re-identification with multiple source-cameras

Tahir, Syed Fahad, Cavallaro, Andrea, Rinner, Bernhard | Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), 2015 IEEE Tenth International Conference on (v.2015 / no.4 / pp.1-6 / 2015)

Target re-identification approaches generally perform association between camera pairs only. However, in a multi-camera system many-to-one camera associations are needed

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Target re-identification approaches generally perform association between camera pairs only. However, in a multi-camera system many-to-one camera associations are needed when targets transit from multiple source-cameras to a destination-camera. To address this problem, we propose a person re-identification approach that generates camera-invariant object matching scores, which are based on re-identification score variations in multiple camera pairs. Each camera pair is represented with two parametric distribution models obtained by curve fitting on intra-class and inter-class target matching scores. These two models are combined to generate the likelihood of a correct match between a new target in the destination-camera and those in all source-cameras. We show the improvement in the performance of the proposed re-identification approach compared to existing pairwise approaches on two publicly available datasets.

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.

Community detection in social networks using content and link analysis

Kakisim, Arzu, Sogukpinar, Ibrahim | Signal Processing and Communications Applications Conference (SIU), 2015 23th (v.2015 / no.5 / pp.1521-1524 / 2015)

Recently, community detection in social networks is studied as a major problem. Most existing methods solve the problem of community detection using link structure of net

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Recently, community detection in social networks is studied as a major problem. Most existing methods solve the problem of community detection using link structure of networks. In this case, communities only reflect the topological features of network. Documents of social members in network are ignored. In this paper, hierarchical modularity maximization algorithm that is frequently used in literature is modified using similarities between members. Experiments on real data sets, proposed algorithm can achieve a better performance.

Identification of power system transients using Recurrence Plot analysis

Jain, G., Ghosh, R., Dalai, S. | Power, Dielectric and Energy Management at NERIST (ICPDEN), 2015 1st Conference on (v.2015 / no.1 / pp.1-4 / 2015)

Transient disturbances are common in a power system network and their monitoring is an important issue. Identification and classification of these disturbances help in st

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Transient disturbances are common in a power system network and their monitoring is an important issue. Identification and classification of these disturbances help in stabilizing the system and minimizing the chances of failure of power equipments. In our paper, a modern graphical diagnostic tool known as Recurrent Plot (RP) analysis has been discussed and applied for visual monitoring, identification and classification of the distortions that occur in a power signal. This method gives a graphical insight into the non-linearity that occurs in a power signal due to injection of various disturbances.

Chaos and Complex in Measuring Sustainability of Economic Condition in Indonesia

Saadah, S. | Information Science and Security (ICISS), 2015 2nd International Conference on (v.2015 / no.12 / pp.1-4 / 2015)

Economic indicator in Indonesia are GDP (Gross Domestic Product), GNI (Gross National Income), inflation, export and import. These data had been chosen because economic t

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Economic indicator in Indonesia are GDP (Gross Domestic Product), GNI (Gross National Income), inflation, export and import. These data had been chosen because economic that came from words 'ecos' and 'nomos' consist of value of life which are implemented in them. Based on that reason, it cannot be avoided that chaos and complex will emerge during measure the economic condition. In order to monitor Indonesia's economic, system that predict each of economic indicator had been developed. This concept tried to answer the chaos and complex in real-problem. System did not measure only one indicator independently, instead of involve all of indicators while predict it. So that, non-linear differential dynamic had been used to face this issued. Furthermore, system would predict as time series and optimized using genetic algorithm. By setting parameter probability mutation and probability cross over, this research got accuracy around 30% - 80%. The range of accuracy proved that the system able enough to fit data in finding historical pattern even had to face with chaos and complex. Distribution data and non-linear differential equation are caused of chaos and complex respectively.

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.

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.

Identification differences among people under context of complex images

Yidong Wang, Huimin Ma | Bioelectronics and Bioinformatics (ISBB), 2015 International Symposium on (v.2015 / no.10 / pp.164-167 / 2015)

Differences of depressed and normal peoples' behavior in identification tasks is explored for a long time in cognitive science experiments. Words, pictures and emotional

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Differences of depressed and normal peoples' behavior in identification tasks is explored for a long time in cognitive science experiments. Words, pictures and emotional faces were introduced into psychological experiments in latest studies. However, usually the priming effect of images is used frequently, which is not according with people's common sense. In this paper, competing effect is introduced. We selected two kinds of background scenes based on image voting results: negative scenes and positive scenes for testing. Correspondingly, positive faces and negative faces were also utilized as testing images. Three experiments were designed considering both the initiation and the distraction effect of background, especially the third experiment considering both priming effect and competing effect simultaneously. According to data analysis results, there exists more significant discrepancy considering competing effect in identification speeds and identification discriminations between depressed people and normal people.

Research on County Economic Structure and Optimal Layout of Weishan County, Yunnan Province Based on GIS

Meiying, Jiang, Jiachun, Zuo, Lede, Niu, Liran, Xiong | Measuring Technology and Mechatronics Automation (ICMTMA), 2016 Eighth International Conference on (v.2016 / no.3 / pp.518-523 / 2016)

County economy is an important carrier of national economy. In recent years, its importance has got an unprecedented increase with the introduction of main functional zon

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County economy is an important carrier of national economy. In recent years, its importance has got an unprecedented increase with the introduction of main functional zones. Based on Yunnan statistical yearbook and Weishan County's statistical yearbook, this paper applied GIS spatial analysis techniques and methods, and combined with statistical indicators analysis to analyze Weishan County's economic development level and economic structure and to provide optimal layout plan, and finally to provide decision references for local prosperity, national unity, regime consolidation, and social harmony.

Conceptual design and implementation of Indicator-based Smart Glasses: A navigational device for remote assistance of senior citizens suffering from memory loss

Firouzian, Aryan, Asghar, Zeeshan, Tervonen, Jari, Pulli, Petri, Yamamoto, Goshiro | Medical Information and Communication Technology (ISMICT), 2015 9th International Symposium on (v.2015 / no.3 / pp.153-156 / 2015)

The development of wearable technologies has generated considerable interest in the last decade. It opens doors to the emergence of user-centered assistive technologies,

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The development of wearable technologies has generated considerable interest in the last decade. It opens doors to the emergence of user-centered assistive technologies, which are targeting senior citizens suffering from memory loss. This paper is dedicated to introducing the conceptual, behavioural and architectural design of a remote controllable head mounted display. The Indicator-based Smart Glasses are designed to assist senior citizens in daily navigational tasks with the guidance of human remote caretakers. The use of eyeglasses among the senior citizens is quite common, and it derived us to construct navigation interface prototype by implanting a set of light-emitting diode indicators on the frame of eyeglasses. The system aims to provide senior citizens with visual cues that could be perceived intuitively for navigational commands. Furthermore, the system would improve the independent mobility of senior citizens. The global positioning system- and geographical information system-based location-aware system could be integrated into Indicator-based Smart Glasses to facilitate the remote assisting process. The research method of the study is constructive design science with applied qualitative and quantitative approaches to improve and evaluate the system. The Living Lab, Wizard of Oz methods, plus observation and interviews are used to evaluate and improve the system through iterative pilot and usability tests.

Injection interval signal processing research based on the vortex flow

Jia deli, Yu Yong, Liu chongjiang, Zhu zhenkun, Zhao mingxin | Computer Science and Network Technology (ICCSNT), 2015 4th International Conference on (v.1 / pp.1316-1319 / 2015)

Single-layer flow and accumulated flow monitoring of Injection-production engineering technology is a necessary means to ensure precise injection and effective water. Thi

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Single-layer flow and accumulated flow monitoring of Injection-production engineering technology is a necessary means to ensure precise injection and effective water. This paper uses the vortex principle to achieve flow measurement interval. However, underground injection wells in the environment, its sensor by water injection piping vibration and noise caused the flow field disturbance double interference. For this project, this paper presents a set of dual-pass filter from wavelet algorithms to improve the system for the detection and identification capability of the sensor output signal. Numerical analysis and experimental results show that the proposed algorithm can improve the anti jamming capability of the system. The traffic monitoring is more stable and reduces the accumulated error effectively.

Effects of impurities and lattice imperfections on the conductive properties of MoS2

Stroud, Andrew, Derosa, Pedro A., Leuty, Gary, Muratore, Christopher, Berry, Rajiv, Muratory, Christopher | Nanotechnology (IEEE-NANO) , 2015 IEEE 15th International Conference on (v.2015 / no.7 / pp.613-616 / 2015)

The effects of vacancies on the electronic properties of transition metal dichalcogenide (TMD) semiconductors is studied and the absorption of water demonstrated by model

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The effects of vacancies on the electronic properties of transition metal dichalcogenide (TMD) semiconductors is studied and the absorption of water demonstrated by modeling molybdenum disulfide (MoS 2 ) nanoscale devices. The simulations presented here combine molecular dynamics (MD), density functional theory (DFT), and non-equilibrium Green's function (NEGF) formalism. Combining these methods, the effects of single and double S vacancy and a single Mo vacancy on charge transport are detailed by looking at transmission functions and conduction paths. The contrast on the effect of double S vacancy and Mo vacancy is intriguing, with only hole transport and electron transport respectively, being affected by the defect. Adsorption of water and oxygen at defects, particularly grain boundaries, is demonstrated via MD simulations.