A system of categorization and classification based on certain criteria

Gyorodi, Robert, Gyorodi, Cornelia, Tontea, Anamaria, Bandici, Livia | Computers Communications and Control (ICCCC), 2016 6th International Conference on (v.2016 / no.5 / pp.208-212 / 2016)

This paper proposes a new system of categorization and classification using data mining techniques based on certain criteria/topics. We describe the design and implementa

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This paper proposes a new system of categorization and classification using data mining techniques based on certain criteria/topics. We describe the design and implementation of proposed system that automatically categorizes a restaurant as being good or bad, using data mining techniques, based on users' reviews. For this study we took a data set consisting of approximately 9,000 reviews for 2,355 restaurants in Romania. The categorization was done on four criteria/topics: food, service, prices, atmosphere, and the results are represented as a range for each topic separately.

Community Detection in General Stochastic Block models: Fundamental Limits and Efficient Algorithms for Recovery

Abbe, Emmanuel, Sandon, Colin | Foundations of Computer Science (FOCS), 2015 IEEE 56th Annual Symposium on (v.2015 / no.10 / pp.670-688 / 20150272-5428)

New phase transition phenomena have recently been discovered for the stochastic block model, for the special case of two non-overlapping symmetric communities. This gives

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New phase transition phenomena have recently been discovered for the stochastic block model, for the special case of two non-overlapping symmetric communities. This gives raise in particular to new algorithmic challenges driven by the thresholds. This paper investigates whether a general phenomenon takes place for multiple communities, without imposing symmetry. In the general stochastic block model SBM(n,p,W), n vertices are split into k communities of relative size {p i } i #x2208;[k] , and vertices in community i and j connect independently with probability {W ij } i,j #x2208;[k] . This paper investigates the partial and exact recovery of communities in the general SBM (in the constant and logarithmic degree regimes), and uses the generality of the results to tackle overlapping communities. The contributions of the paper are: (i) an explicit characterization of the recovery threshold in the general SBM in terms of a new f-divergence function D + , which generalizes the Hellinger and Chernoff divergences, and which provides an operational meaning to a divergence function analog to the KL-divergence in the channel coding theorem, (ii) the development of an algorithm that recovers the communities all the way down to the optimal threshold and runs in quasi-linear time, showing that exact recovery has no information-theoretic to computational gap for multiple communities, (iii) the development of an efficient algorithm that detects communities in the constant degree regime with an explicit accuracy bound that can be made arbitrarily close to 1 when a prescribed signal-to-noise ratio [defined in terms of the spectrum of diag(p)W] tends to infinity.

Identification of authors of documents based on offline signature recognition

Marusic, Tonco, Marusic, Zeljko, Seremet, Zeljko | Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2015 38th International Convention on (v.2015 / no.5 / pp.1144-1149 / 2015)

Handwritten signature is used in various applications on daily basis. Whether one signs a contract, work documents, petition, or wants to approve a check payment, one wil

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Handwritten signature is used in various applications on daily basis. Whether one signs a contract, work documents, petition, or wants to approve a check payment, one will use personal signature to do all those things. In this paper we use this daily based biometric characteristic for identification and classification of students' papers and various exam documents used at University of Mostar. In this paper we used OpenCV library as an image processing tool for feature extraction. As regards to classification method, we used Support Vector Machine.

Ionspheric modifcations using mobile, high power HF transmitters based on TPM technology

Papadopoulos, K. | Plasma Sciences (ICOPS), 2015 IEEE International Conference on (v.2015 / no.5 / pp.1-1 / 2015)

Ionospheric Modification (IM) experiments using the recently completed High-Frequency Active Auroral Research Program (HAARP) HF ionospheric heater located in Gakona, AK,

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Ionospheric Modification (IM) experiments using the recently completed High-Frequency Active Auroral Research Program (HAARP) HF ionospheric heater located in Gakona, AK, verified the potential of IM in exploiting triggered ionospheric and magnetospheric processes that take advantage of their potential as active media. The research result opened the road to potential applications including new modes of ELF/VLF as well as HF/VHF/UHF communications, over-the-horizon radar, and radiation belt control. The fixed location, size and cost of current ionospheric heaters, such as the HAARP phased array, and the dependence of HF-ionospheric plasma coupling processes on the inclination of the geomagnetic field restricts the realization of the breakthrough applications revealed by the HAARP experiments. The development of transportable, compact, low cost HF heaters can revolutionize both the research and applications of IM. The paper will present results of a current MURI sponsored by AFOSR, whose objective is to replace the current collection of HF sources with a single, mobile low cost amplifier based on recent developments in HPM technology, metamaterials and active materials. The MURI involves a science and an engineering task. The science task focuses on understanding the design requirements of the mobile heater as a function of geomagnetic latitude and application. Emphasis is placed on latitudes close to the dip equator and applications that involve artificial ionization, generation of few cm irregularities that can reflect signals with GHz frequency and artificial antennas in the ELF/VLF range. Analysis is based in theoretical/computational techniques extrapolating results of previous heating experiments and laboratory tests using the UCLA/LAPD space chamber. The engineering task addresses system design and requirement issues including amplifier sources and electrically small antennas. Emphasis is placed on Inductive Output Tubes (IOT) at the University of Maryland and Photo-Conductive Solid State (PCSS) RF Generators at Texas Tech University. Current status and future plans for the MURI project will be presented.

Restaurant Rating: Industrial Standard and Word-of-Mouth -- A Text Mining and Multi-dimensional Sentiment Analysis

Qiwei Gan, Yang Yu | System Sciences (HICSS), 2015 48th Hawaii International Conference on (v.2015 / no.1 / pp.1332-1340 / 20151530-1605)

AAA Restaurant Diamond Rating Guidelines (which is regarded as industry standards) rate a restaurant in three aspects: food, service, and de #x0301;cor/ambience. Drawing

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AAA Restaurant Diamond Rating Guidelines (which is regarded as industry standards) rate a restaurant in three aspects: food, service, and de #x0301;cor/ambience. Drawing upon extant literature, we argue that special contexts and pricing are two other major aspects in restaurant rating in addition to aforementioned three aspects. We tested our hypotheses based on our text mining and sentiment analysis of 268, 442 customer reviews of 7, 508 restaurants on Yelp.com, A form of digital word-of-mouth. Results from fitting a multilevel model showed that the sentiments about each of these five aspects alone explained about 28% of the explainable between-restaurant variances, and 12% of the explainable within-restaurant variances of the restaurants' star ratings. With other level and control variables, the multilevel model can explain more than 53% between-restaurant variances and 28% within-restaurant variances.

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

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

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

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

Smartporter: A Combined Perishable Food and People Transport Architecture in Smart Urban Areas

Pal, Amitangshu, Kant, Krishna | Smart Computing (SMARTCOMP), 2016 IEEE International Conference on (v.2016 / no.5 / pp.1-8 / 2016)

The current bulk transit systems (e.g., buses) and local perishable food distribution logistics, both suffer from significant fuel inefficiency along with food wastage du

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The current bulk transit systems (e.g., buses) and local perishable food distribution logistics, both suffer from significant fuel inefficiency along with food wastage due to quality degradation in the distribution pipeline. In this paper we present a mechanism that exploits automated electric vehicles (AEVs) in future smart cities and regions to provide both people transport and fresh food distribution that minimizes empty miles of the vehicles (and thus enhances transport efficiency) while meeting the constraints on passenger transit time and food freshness. We devise an optimization framework and show how it can be solved using genetic algorithms in order to handle dynamic demands for passenger transport/products, uncertain supply delays, and variations in product availability. Performance evaluations with extensive simulations show that flexibly deciding the AEV routes improves the transportation efficiency by ~24-78% whereas improves the delivery quality by ~2 times compared to the typical fixed routes/schedules used both by regular passenger bus services and by local distribution operations.

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.

Identification the activities of daily living based on decision tree

Rung-Ching Chen, Qiangfu Zhao, Chia-Ming Tsai, Bin Dai | Awareness Science and Technology (iCAST), 2015 IEEE 7th International Conference on (v.2015 / no.9 / pp.157-162 / 2015)

The basic concept of smart environment is to be aware of the context information related to environmental and human behavioral changes, and to provide appropriate service

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The basic concept of smart environment is to be aware of the context information related to environmental and human behavioral changes, and to provide appropriate services accordingly. To obtain the context information, people often use video cameras, microphones, and other devices. These devices can obtain complex environmental data but they also need powerful equipment for handling the data. In addition, monitoring equipment will generate privacy issues. Users will generate sense of exclusion. In these devices, users generally dislike the graphic and audio monitoring equipment. We mainly collect user activity information through the most simple data quality of sensor. Due to amount of activity of human is difficult to make computers understand by natural language. On the other hand, activity vulnerable to external factors produce different variations. In order to effectively address these issues, we propose an activity to identify architecture based on fuzzy logic. This method using fuzzy logic deal with sensor data and using fuzzy decision trees identification of a user's activities. According to the results of preliminary experiments, the system can identify 85.49% the daily activities.

Simulation of flow past a wing inspired by flying snakes

Saxena, Vertika, Ramakrishnananda, Balajee, Kumar, T. Rajesh Senthil | Advances in Computing, Communications and Informatics (ICACCI), 2015 International Conference on (v.2015 / no.8 / pp.720-725 / 2015)

Wings of airplanes, ornithopters and micro-aerial vehicles were inspired by the wings of birds and insects. A flying snake found in South and South-East Asia converts its

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Wings of airplanes, ornithopters and micro-aerial vehicles were inspired by the wings of birds and insects. A flying snake found in South and South-East Asia converts its entire body into a morphing wing which aids it to glide very efficiently. The aerodynamics of this species of snake is not well understood. Two dimensional computational and experimental studies of the snake's rather unusual cross-section have been done in earlier works. A three dimensional simulation of the flow over a wing inspired by the snake's body geometry is solved in the current work using steady laminar assumptions. Solutions were obtained from an angle of attack of 0 to 55 degrees in steps of 5 degrees. Interesting features like wake interaction with downstream sections and complex vortex shapes come to light. At low angles of attack, transverse flows reduce the strength of the wake leaving the wing. Gentle stall characteristics with a high stall angle and almost linear increase in drag with angle of attack are noticed. Bending of streamlines indicative of high lift production are clearly visualized at the maximum lift condition.

SQL Injection Attack prevention based on decision tree classification

Hanmanthu, B., Ram, B. Raghu, Niranjan, P. | Intelligent Systems and Control (ISCO), 2015 IEEE 9th International Conference on (v.2015 / no.1 / pp.1-5 / 2015)

In real world as dependence on World Wide Web applications increasing day by day they transformed vulnerable to security attacks. Out of all the different attacks the SQL

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In real world as dependence on World Wide Web applications increasing day by day they transformed vulnerable to security attacks. Out of all the different attacks the SQL Injection Attacks are the most common. In this paper we propose SQL injection vulnerability prevention by decision tree classification technique. The proposed model make use famous decision tree classification model to prevent the SQL injection attacks. The proposed model will filter the sent HTTP request by using a decision tree classification based attack signatures. We test our proposed model on synthetic data which given satisfactory results.

Cultural Event recognition with visual ConvNets and temporal models

Salvador, Amaia, Manchon-Vizuete, Daniel, Calafell, Andrea, Giro-i-Nieto, Xavier, Zeppelzauer, Matthias | Computer Vision and Pattern Recognition Workshops (CVPRW), 2015 IEEE Conference on (v.2015 / no.6 / pp.36-44 / 2015)

This paper presents our contribution to the ChaLearn Challenge 2015 on Cultural Event Classification. The challenge in this task is to automatically classify images from

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This paper presents our contribution to the ChaLearn Challenge 2015 on Cultural Event Classification. The challenge in this task is to automatically classify images from 50 different cultural events. Our solution is based on the combination of visual features extracted from convolutional neural networks with temporal information using a hierarchical classifier scheme. We extract visual features from the last three fully connected layers of both CaffeNet (pre-trained with ImageNet) and our fine tuned version for the ChaLearn challenge. We propose a late fusion strategy that trains a separate low-level SVM on each of the extracted neural codes. The class predictions of the low-level SVMs form the input to a higher level SVM, which gives the final event scores. We achieve our best result by adding a temporal refinement step into our classification scheme, which is applied directly to the output of each low-level SVM. Our approach penalizes high classification scores based on visual features when their time stamp does not match well an event-specific temporal distribution learned from the training and validation data. Our system achieved the second best result in the ChaLearn Challenge 2015 on Cultural Event Classification with a mean average precision of 0.767 on the test set.

Material decomposition with dual energy CT

Qingsong Yang, Wenxiang Cong, Ge Wang | Biomedical Engineering Conference (NEBEC), 2015 41st Annual Northeast (v.2015 / no.4 / pp.1-2 / 2015)

Among all dual-energy CT (DECT) methods, fast kVp-switching is advantageous in terms of system cost and imaging performance. However, this data acquisition technique lead

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Among all dual-energy CT (DECT) methods, fast kVp-switching is advantageous in terms of system cost and imaging performance. However, this data acquisition technique leads to a one-view mismatch between high and low voltage projections, and a kind of interpolation is usually required for consistency. In the paper, we propose an image based material decomposition method, which combines data and reconstructed images. We treat the data as a line integral plus a non-linear beam hardening term, and perform reconstruction and correction iteratively. Numerical results show an excellent quality of basis components.

Heat treatment in 110 #x00B0;C liquid water used for passivating silicon surfaces

Nakamura, Tomohiko, Motoki, Takayuki, Sameshima, Toshiyuki, Hasumi, Masahiko, Mizuno, Tomohisa | Active-Matrix Flatpanel Displays and Devices (AM-FPD), 2015 22nd International Workshop on (v.2015 / no.7 / pp.213-216 / 2015)

We report effective passivation of silicon surfaces by heating single crystalline silicon substrates in liquid water at 110 #x00B0;C for 1 h. High values of photo-induced

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We report effective passivation of silicon surfaces by heating single crystalline silicon substrates in liquid water at 110 #x00B0;C for 1 h. High values of photo-induced effective minority carrier lifetime #x03C4; eff were obtained ranging from 8.3 #x00D7;10 -4 to 3.1 #x00D7;10 -3 s and from 1.2 #x00D7;10 -4 to 6.0 #x00D7;10 -4 s over the area of 4 inch sized n- and p-type samples, respectively, while values of #x03C4; eff of initial bare samples were lower than 1.2 #x00D7;10 -5 s. The heat treatment in liquid water at 110 #x00B0;C for 1 h resulted in low surface recombination velocities ranging from 7 to 34 cm/s and from 49 to 250 cm/s for those 4 inch sized n- and p-type samples, respectively. The thickness of the passivation layer was estimated to be approximate only 0.7 nm. Metal-insulator-semiconductor type solar cell was demonstrated with Al and Au metal formation on the passivated surface. Rectified current voltage and solar cell characteristics were observed. Open circuit voltage of 0.49 V was obtained under AM 1.5 light illumination at 100 mW/cm 2 .

Analysis and clustering of PingER network data

Mal, Anwesha, Sabitha, A. Sai, Bansal, Abhay, White, Bebo, Cottrell, Les | Cloud System and Big Data Engineering (Confluence), 2016 6th International Conference (v.2016 / no.1 / pp.268-273 / 2016)

The PingER project was started by the SLAC National Accelerator Laboratory, Stanford, California for the purpose of monitoring end to end network performance. For the las

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The PingER project was started by the SLAC National Accelerator Laboratory, Stanford, California for the purpose of monitoring end to end network performance. For the last eighteen years PingER has generated an enormous amount of data that has been stored in space separated files. However due to the difficulties faced in retrieving data efficiently, it has been proposed that all the data be put into the form of RDF triples. Interpreting and analyzing such large volumes of data becomes a primary concern. By making using of clustering algorithms new and interesting patterns can be observed in the data sets. Outlier analysis can be performed giving insight to the exceptions occurring in the dataset and analyzing the probable causes of such. Patterns could be observed based on the country to which the data belongs and comparisons can be drawn between the patterns between the different countries.

A non-linear dynamic electrical model of Sodium-Nickel Chloride Batteries

Musio, Maura, Damiano, Alfonso | Renewable Energy Research and Applications (ICRERA), 2015 International Conference on (v.2015 / no.11 / pp.872-878 / 2015)

In this paper a non-linear second order circuit model of high temperature Sodium-Nickel Chloride batteries (SNBs) is presented. The aim is the development of an accurate

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In this paper a non-linear second order circuit model of high temperature Sodium-Nickel Chloride batteries (SNBs) is presented. The aim is the development of an accurate model easily implementable in microgrids Energy Management System and suitable for their real-time control. The proposed model is based on the analysis of the experimental performance of a commercial 23.5 kWh SNB. In particular, the mathematical description of the used algorithm, the model parameters identification method as well as the measurement tests carried out for their evaluation are reported and discussed in detail. Then, the model is validated using a measured current-voltage profile, developed in order to trigger the whole battery operative range. The comparison between the experimental data and simulations has confirmed the good accuracy of the proposed model in a defined SOC range. However, due to the particular chemical composition of the battery positive electrode, a novel modelling approach specific for the SNB technology has been finally demonstrated to be necessary.

Detection of seasonal allergic rhinitis from exhaled breath VOCs using an electronic nose based on an array of chemical sensors

Saidi, T., Tahri, K., El Bari, N., Ionescu, R., Bouchikhi, B. | SENSORS, 2015 IEEE (v.2015 / no.11 / pp.1-4 / 2015)

In this study, we investigate for the first time the ability of an electronic nose (E-nose) based on an array of chemical sensors to discriminate between breath Volatile

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In this study, we investigate for the first time the ability of an electronic nose (E-nose) based on an array of chemical sensors to discriminate between breath Volatile Organic Compounds (VOCs) that characterize patients with Seasonal Allergic Rhinitis (SAR) and healthy states. To reach this aim, multivariate analysis including Principal Component Analysis (PCA), Hierarchical Cluster Analysis (HCA) and Support Vector Machines (SVMs) were applied for database as an alternative tools for the resolution of complex classification situations. The preliminary results reveal that VOC-patterns of exhaled breath were accurately discriminated patients with SAR from healthy controls. These findings indicate that the E-nose may succeed as a non-invasive diagnostic tool, low cost and rapid technique for breath analysis.

Beijing cultural and creative industry policy effect evaluation based on fuzzy comprehensive evaluation

Chao Lu, Sijing Liu | Logistics, Informatics and Service Sciences (LISS), 2015 International Conference on (v.2015 / no.7 / pp.1-6 / 2015)

This paper constructs the policy effect evaluation system for Beijing cultural and creative industry, using entropy method to determine the weight and the fuzzy comprehen

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This paper constructs the policy effect evaluation system for Beijing cultural and creative industry, using entropy method to determine the weight and the fuzzy comprehensive evaluation method to analyze effect, and then put forward the suggestions. The results show that the policy of Beijing cultural and creative industry have played itself role, and whose implementation effect is well. But, from the view of rule of industrial development, the ideal of establishing policy of Beijing cultural and creative industry should be adjusted, and realize that through legislation the market is playing a decisive role in allocating resources.

Analysis of turbine fluid dynamics based on FSI

Yiming Li, Guiqiu Song, Xiaoyu Feng, Gong Zhang, Dengchen Li | Mechatronics and Automation (ICMA), 2015 IEEE International Conference on (v.2015 / no.8 / pp.110-115 / 2015)

In this paper, based on the fluid-structure coupling theory, the wheel of the bulb hydraulic turbine was done the transient dynamic analysis by using ADINA software, with

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In this paper, based on the fluid-structure coupling theory, the wheel of the bulb hydraulic turbine was done the transient dynamic analysis by using ADINA software, with the semi-implicit method for solving pressure coupled equations inflow field calculation and the dynamic mesh technology. And the modal analysis was done with Lanczos Iteration algorithm to the bulb hydraulic turbine, separately calculating the natural frequencies and the mode shapes of the wheel in the air and water medium. The article got the dynamic characteristics of bulb tubular turbine under considering fluid-structure coupling.

Reflections on playfulness, imagination and creativity, their relations and open questions

Varela Afonso, Ana Paula, Roque, Licinio | Information Systems and Technologies (CISTI), 2015 10th Iberian Conference on (v.2015 / no.6 / pp.1-5 / 2015)

We are currently interested in the study of core concepts: playfulness, imagination, creativity. In here we are looking at existing theoretical perspectives on these conc

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We are currently interested in the study of core concepts: playfulness, imagination, creativity. In here we are looking at existing theoretical perspectives on these concepts, trying to understand the relationships between them, to identify unanswered questions. While trying to put into evidence the relationships between these concepts for the study of creative processes, we aim at designing future solutions for digital media or technological support for collective creation. At the moment we realize that there is a lack of consensus around these concepts and the way they interrelate, how they can be studied and their relationship with technological innovations. Finally, we enumerate several unanswered questions in this context.