13 Articles Published

1. SPEED PROFILING ON ROADS OF NEW DELHI

Authors: ANUBHAV KUMAR , SUDATTA MOHANTY

Abstract: Study of transportation systems at various levels of organization has gained increased importance in recent times and is a rapidly advancing field in transportation engineering. With increased capabilities of Geographic Information Systems, the concept of developing a complete virtual transportation model of the entire globe has become a bright prospect. Speed profiling of data has direct applications in developing Intelligent Transportation Systems (ITS) and in analysis of efficiency of existing road networks. The prime objective of this study was to develop a speed profile map for the complete road network of the city of New Delhi. As a result of the accompanied analysis that was done on the resulting spatial database, some vital correlations were developed between Accident prone areas and peak speeds, variation of speeds with timeof day, average speeds on roads classified on the basis of Right Of way and variation of rates of acceleration and deceleration near intersections. The com

Keywords: s- Speed Profiling, Spatial Join, Smartphone, Accident

Pages: 1 - 5 | DOI: 10.15224/978-981-07-7227-7-12

2. BUCKLING ANALYSES OF CYLINDRICAL METAL SILOS CONTAINING BULK SOLIDS

Authors: JACEK TEJCHMAN , MATEUSZ SONDEJ , MICHAL WOJCIK

Abstract: The paper presents quasi-static 3D buckling analysis results of thin-walled cylindrical metal silos with and without bulk solids. The behaviour of the bulk solid was described with a hypoplastic constitutive model. Non-linear analyses with geometric and material non-linearity were performed with a perfect and an imperfect silo shell. Different initial geometric imperfections were considered. The influence of internallystored bulk solids on the buckling strength was compared with experimental results from the literature. The results clearly indicate a strengthening effect of the stored solid on the silo buckling strength.

Keywords: silo buckling, bulk solid, hypoplasticity, FE analysis

Pages: 6 - 10 | DOI: 10.15224/978-981-07-7227-7-13

3. POSITION CONTROL FOR AN SMA ACTUATOR BASED ON INVERSE MODEL FOR COMPENSATION

Authors: HIROYUKI HARADA , JUNFENG LI

Abstract: In this paper, a feedforward-feedback controller is used to control the position of an SMA actuator based on a modified Liang and Rogers inverse model, considering both the major and minor hysteresis loops. First a modified Liang and Rogers model of an SMA wire actuated by an electric current is derived and experiments are used to validate the model and to identify the parameters governing its behavior. Then the feedforward part of the proposed control system, which is based on this inverse model, is used to compensate the hysteresis effect, and a PID controller is added to the feedforward controller to increase the accuracy as well as reduce the steady state errors in the position control process. Experimental results demonstrate that the proposed control system performs better than when only a traditional PID controller is used.

Keywords: SMA actuator, inverse hysteresis compensation, position control

Pages: 11 - 17 | DOI: 10.15224/978-981-07-7227-7-14

4. A COMPARISON OF METAHEURISTICS IN STRUCTURAL OPTIMIZATION

Authors: OGUZHAN HASANCEBI , SAEID KAZEMZADEH AZAD

Abstract: In the recent decades metaheuristic search techniques have been widely employed for developing structural design optimization algorithms. Amongst these techniques are genetic algorithms, simulated annealing, evolution strategies, particle swarm optimization, tabu search, ant colony optimization, harmony search, big bang-big crunch, and bat-inspired search. The main concern of the study is to evaluate the performance ofaforementioned nine techniques in discrete sizing optimization of structural systems. The optimization algorithms, which are implemented in an unbiased coding platform, are evaluated and compared in terms of their solution accuracies and reliabilities using a real size structural design instance. Here, the design criteria imposed by AISC-ASD (Allowable Stress Design Code of American Institute of Steel Construction) are considered in the course of optimization. The study provides general guidelines about the efficiency of investigated algorithms in practical structural opt

Keywords: structural optimization, discrete optimization, optimum sizing, metaheuristics

Pages: 18 - 22 | DOI: 10.15224/978-981-07-7227-7-15

5. COMPRESSIVE BEHAVIOR OF BASALT FIBER REINFORCED COMPOSITE

Authors: SMITHA GOPINATH , SMRITI RAJ , NAGESH R.IYER

Abstract: The development of basalt fiber reinforced composite is an important milestone in improving the mechanical performance and durability of concrete construction. Basalt fiber is environmentally safe, non toxic, non corrosive and it possess high resistance against low and high temperatures. Incorporation of basalt fiber as reinforcement in concrete is one of the recent developments and the detailed information regarding its characterization is scanty in literature. The present study aims towards mechanical characterization of basalt fiber reinforced composite under compressive loading. Experimental investigation has been carried out on basalt fiber reinforced composite cylinder and cubes having different amount of basalt fibers. The volume fractions of basalt fibers used for studies ranges from 0.3% to 2%. Based on experimental investigation, effect of different volume fraction of basalt fiber has been studied under compression and optimal volume fraction of basalt fiber has been arrived

Keywords: Basalt fiber reinforced composite, Compression, volume fraction, stress-strain, composite

Pages: 32 - 36 | DOI: 10.15224/978-981-07-7227-7-17

6. A STUDY OF THE STRESS RATIO EFFECTS ON FATIGUE CRACK GROWTH USING LOWESS REGRESSION

Authors: A RAMA CHANDRA MURTHY , ABHISHEK KUMAR, , NAGESH R.IYER

Abstract: In this paper, seven fatigue crack growth models, namely Priddle, McEvily, Weertman, Collipriest, Broek, Walker and Forman have been examined. The mean stress effect on fatigue crack growth rate is commonly introduced into fatigue crack growth (FCG) relation through the stress ratio, R. Therefore, the ability to correlate and predict the fatigue crack growth rate, FCGr, for different R values is of significant importance for damage tolerant design. Performance of the crack driving force of these models in accounting stress ratio effects in fatigue crack growth rate is evaluated by fitting a lowess curve on transformed FCG data. Experimental fatigue crack growth data of a typical Al 2024 T351 obtained under constant amplitude loading tests for six load ratios has been used in the present work. From the studies carried out, it is observed that Walker and Collipriest models are found to be in good agreement with the experimental FCG data

Keywords: Fatigue crack growth; Stress ratio effects; Crack driving force; Lowess Curve.

Pages: 47 - 51 | DOI: 10.15224/978-981-07-7227-7-20

7. SEISMIC RESPONSE EVALUATION OF STRUCTURES SUBJECTED TO MULTI-SUPPORT EXCITATION USING RITZ VECTORS

Authors: K.BALAMONICA , N.GOPALAKRISHNAN

Abstract: The response of a multi supported structure subjected to spatially varying ground motion at its different supports is of great importance for structures like bridges, pipe lines, viaducts, tunnels etc,. Various reasons like local site conditions, wave passage effect, incoherence effect and attenuation effect tend to induce a phase difference and time lag in the ground motion which results in differential ground motions ateach supports. Assuming that the differential input is available at the various supports the response of the structure can be obtained by the Pseudo-static methods. In these methods the static component of the response is expressed as a function of influence matrix and the input motion which remains independent of the dynamic response. The dynamic component is then computed by using various methods which are then combined with the static components to get the total response. In literature many authors have tried using the modal superposition method for finding the dyna

Keywords: Multi-support excitation, spatially varying ground motions, bridge, modal vectors, Ritz vectors

Pages: 42 - 46 | DOI: 10.15224/978-981-07-7227-7-19

8. JOINT DESIGN OF DELAY CONSTRAINT AND ENERGY SAVING FOR EFFICIENT PACKET TRANSMISSIONS IN SMARTPHONES

Authors: JENN-WEI LIN , J. MORRIS CHANG

Abstract: In this paper, delay constraint and energy saving are jointly studied for efficiently transmitting packets in smartphones. We propose a new energy-saving transmission mechanism. The proposed mechanism first utilizes the lazy transmission concept to estimate the last transmission interval of each packet. Before transmitting a packet p, we also adopt the accompanied transmission concept to involve more other packets tobe transmitted with packet p. The well-known knapsack problem can be applied to solve the selection of accompanied packets under a given bandwidth capacity. Finally, simulation experiments are performed to demonstrate the effectiveness of the proposed mechanism in the delay performance and energy conservation.

Keywords: Joint Design of Delay Constraint and Energy Saving for Efficient Packet Transmissions in Smartphones

Pages: 1 - 5 | DOI: 10.15224/978-981-07-7227-7-01

9. A NOVEL RECONSTRUCTION METHOD USING THE PHASE ONLY INFORMATION OF THE COMPUTER GENERATED HOLOGRAM

Authors: ALI DURSUN , GULHAN USTABAS KAYA , ZEHRA SARAC

Abstract: The studies that have been carried out so far, the reconstruction process of the phase hologram can be realized by a single phase hologram. In this study, on the basis of a single phase hologram, this process will be carried out with the phase information which is obtained from a single hologram. To reconstruct the test object image, two different methods will be used: (1) the image will be reconstructed with using single phase information of single hologram, (2) the image will be reconstructed with using single phase information of more than one hologram ( In this study 4 holograms are used. ) This method is same of the phase shifting hologram using with 4 holograms. In this study, only used numbers of holograms and also their expressions are different. This method is used in this study for the first time. To obtain the single phase value for holograms, with using different methods, the Fourier transform algorithm will be used. Consequently, the simulations will be achieved in Matlab

Keywords: reconstruction, single phase, single hologram

Pages: 17 - 20 | DOI: 10.15224/978-981-07-7227-7-04

10. SENTIMENT ANALYSIS: STATE OF THE ART

Authors: JEREMY ELLMAN , TAWUNRAT CHALOTHORN

Abstract: We presented the state of art of sentiment analysis which contained about the purpose of sentiment analysis, levels of sentiment analysis and processes that could be used to measure polarity and classify labels. Moreover, brief details about some resources of sentiment analysis are included.

Keywords: sentiment, analysis, natural language processing, nlp, sentiwordnet,

Pages: 21 - 25 | DOI: 10.15224/978-981-07-7227-7-05

11. AUTOMATIC SMILE AND BLUR DETECTION FOR STILL IMAGES

Authors: EVGENY GERSHIKOV , YOSSI AMOYAL

Abstract: In this work we present an algorithm designed to recognize if the faces in a still image are smiling or not, based on Viola Jones face detection method and an algortihm for smile recognition. The stages of our algorithm are: identification of the faces in the image, detection of the mouth part of each face and then application of a basic algorithm to the mouth part to determine whether the person is smiling or not. A smile is recognized by examining the graph of the grayscale levels across the mouth and looking for two distinct minima. As an additional step of image quality assessment, we measure the level of blurriness of the detected face. Real life images were used for testing the algorithms at different spatial resolutions, levels of blurriness as well as varying contrast and brightness conditions. Our conclusion is that the proposed methods can be beneficial for automatic smile recognition and blur detection in digital cameras or other mobile devices.

Keywords: smile recognition, blur detection, face image processing, automatic image quality assessment

Pages: 26 - 30 | DOI: 10.15224/978-981-07-7227-7-06

12. APPLICATION OF IMPROVED GRAMMATICAL EVOLUTION TO STOCK PRICE PREDICTION

Authors: EISUKE KITA , HIDEYUKI SUGIURA , TAKAO MIZUNO , YUKIKO WAKITA

Abstract: Grammatical Evolution (GE), which is one of the evolutionary computations, aims to find function, program or program segment satisfying the design objective. This paper describes the improvement of the Grammatical Evolution according to Stochastic Schemata Exploiter (GE-SSE) and its application to symbolic regression problem. Firstly, GE-SSE is compared with original GE in symbolic regression problem. The resultsshow that GE-SSE has faster convergence property than original GE. Secondly, GE-SSE is applied for the stock price prediction as the actual application of the GE-SSE.

Keywords: Grammatical Evolution, Stochastic Schemata Exploiter, Symbolic Regression, Stock Price Prediction.

Pages: 38 - 41 | DOI: 10.15224/978-981-07-7227-7-08

13. PREDICTING PERSONAL CREDIT RATINGS USING UBIQUITOUS DATA MINING

Authors: JAE KWON BAE

Abstract: Ubiquitous data mining (UDM) is a methodology for creating new knowledge by building an integrated financial database in a ubiquitous computing environment, extracting useful rules by using diverse rule-extraction-based data mining techniques, and combining these rules. In this study, we built six credit rating forecasting models using traditional statistical methods (i.e., logistic regression and Bayesian networks), multilayer perceptron (i.e., MLP), classification tree algorithms (i.e., C5.0), neural network rule extraction algorithms (i.e., NeuroRule), and UDM in order to predict personal credit ratings. To verifythe feasibility and effectiveness of UDM, credit ratings and credit loan data provided by A Financial Group in Korea were used in this study. Empirical results indicated that UDM outperforms other single traditional classifiers such as logistic regression, neural networks, frequency matrix, C5.0, and NeuroRule. UDM always outperforms other single classifiers in credit ratin

Keywords: Ubiquitous data mining (UDM), Ubiquitous computing environment, Credit rating forecasting models, Rule extraction algorithms, Integrated financial database

Pages: 42 - 46 | DOI: 10.15224/978-981-07-7227-7-09