Huiping Guo, Fuzeng Yang* College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling , China
|
|
- Hugo Walton
- 5 years ago
- Views:
Transcription
1 doi: / An aesthetic evaluation model of agricultural machineries appearance design based on BP neural network Huiping Guo, Fuzeng Yang* College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling , China Abstract In order to research into nonlinear issues concerning aesthetic evaluation on appearance design of agricultural machineries, the paper used BP (Back propagation) neural network as a basis to have established a corresponding mathematic evaluation model. The assessment model was built up based on BP neural network, with 16 criteria values of aesthetic evaluation as an input layer and the comprehensive value as an output layer. Test results showed that among the 20 sample schemes, either the training values of 15 training samples or the test values of the 5 verification samples agreed with real ones. The research result thus provided methods of quantitative analysis of aesthetic measure, which helped perceive consumers aesthetic psychology better during product design and improve design efficiency as well. Keywords: Aesthetic evaluation, BP neural network, Tractors. 1.INTRODUCTION With economic development and improvement in living standards, in order to meet consumer demands at different psychological levels, product appearance design is supposed to match aesthetic needs in addition to realization of basic functions and usefulness. A beautiful appearance design attracts consumers attention and further sparks purchasing desires. What s more, aesthetic concepts contained in products can reinforce consumers impressions and upgrade their aesthetic experience. As a psychological response to product appearance design, aesthetic perception is deemed as emotional, subjective, and uncertain. The level of aesthetic perception, namely aesthetic measure, as an objective measurement is difficult for designers to achieve. Therefore, it is particularly significant to carry out quantitative theoretical research on aesthetic measure. Requirements for appearance design of agricultural machineries have ascended in the wake of increasing agricultural mechanization degrees, expanding worldwide sales market, and annually mounting inventories of agricultural machineries (Zhang et al., 2013). Innovativeness and brand identity for agricultural machineries has become a major direction of research and development of agricultural machineries, where appearance is the most representative part (Sun, 2013). When designing agricultural machineries, one used to give more priority to basic functions such that correlated manufacture can be completed, but lacks attention on appearance and agreeableness. Hence traditional impressions on agricultural machineries are concentrated on rough workmanship, heavy structures, and insufficient aesthetic beauty. The same impression is especially applicable to tractors (Zhang, 2010). For recent years, technological development regarding tractors has been stagnant. To bring new-type tractors into prominence, it is necessary to endow them with exquisite appearance that will draw purchasers attention and further arouse desires to buy (Zhu, 25
2 2005). Along with enrichment of social life and diversified tastes of life, single-shaped, monotone tractors have failed to satisfy aesthetic needs. Instead, strong contrasts arise between traditional agricultural machineries and consumer demands. Approaches to information of consumers potential aesthetic perception has become one of the important research directions in appearance design of agricultural machineries. Since the structures and functions of agricultural machineries are more complex than those of industrial products, corresponding research methods of appearance design and its evaluation are complicated still further. To study aesthetic measure of agricultural machinery appearance from the perspective of consumers judgements provides the access to realizing aesthetic evaluation on agricultural machineries and the basis for improving appearance design of agricultural machineries. Among studies on aesthetic measure analysis methods, Hua (1997)initiated the concept of aesthetic measure itself as well as product aesthetic measure. By conduction research on general industrial products, he analyzed four representatives of product aesthetic measure and its evaluation factors, and devised the function relations between aesthetic measure evaluation factors and integral evaluation. What s more, Hua determined the weighted value among those factors and summarized the procedure of aesthetic measure evaluation as well. Kou and Cui (2002, 2003a and 2003b) proposed the thought of quantitative evaluation on aesthetic measure and that of aesthetic space by means of describing appearance aesthetic measure with the help of concept of space as well as function relations. Gan and Xu (2010) put forward the idea that aesthetic factors were a crucial criterion in determining actual superiority and that the combination of technological beauty and formal beauty constituted the mainstay of evaluation standards. With a case study involving Apple computers, they also proposed the way to undertake fuzzy quantitative evaluation on aesthetic measure. Zhou et al., (2013) took interface design of products as an example to apply Kansei engineering to aesthetic evaluation. Through analysis, they determined aesthetic measure factors, established aesthetic measure computation system, and researched on superiority orders of scheme design with the help of grey correlation analysis as well, thus providing basis for comprehensive evaluation on aesthetic measure. Furniture is used more often for case studies of aesthetic measure. To practically optimize and choose schemes of appearance design for furniture, and to improve evaluation systems of furniture design, Chen and Lyu (2014) proposed that aesthetic indices should be used to assess design schemes. Based on Analytic Network Process (ANP), they established weight relations among evaluation indices, and realized automatic evaluation by virtue of SuperDecisions software. To quantify aesthetic values, and given appearance attributes for different furniture, Zeng and Liu (2010) built up weight relations by means of AHP, and designed corresponding models to assess and quantify aesthetic value systems of furniture as well. Products with simple structures are the mere objective of present studies, where linear methods are used to analyze quantitative relations between aesthetic decomposition indices and integral evaluations of aesthetic measure. However, there has yet been no attempt to evaluate aesthetic measure by building up any mathematical model. For tractors with complicated structures, quantitative analysis on aesthetic measure is still more intricate, posing new questions of aesthetic evaluation. The development of computer technology gives birth to intelligent algorithm, which has been applied to various research fields. Given that the fine attributes of BP neural network, namely selfadaptability, parallel processing, nonlinearity, fault-tolerance, and ratiocination, are what aesthetic evaluation requires of, BP neural network algorithm thus has the ability to handle such emerging issues in aesthetic evaluation as causal relationships and inaccurate data with possible contradictions and errors (Tang and Hu, 2008, Li et al., 2016). Therefore, the paper suggested to draw support from BP neural network algorithm in setting up a mathematical model that evaluated aesthetic measure of 26
3 tractors appearance design, intending to provide instructions for aesthetics-based appearance design of tractors. 2.RESEARCH FRAMEWORKS For the case study of wheeled tractors, a kind of typical agricultural machinery, in the paper, by analyzing characteristics of the wheeler tractor s appearance, the paper built up corresponding tier-one and -two evaluation criteria for its aesthetic measure. In addition, on-line evaluation on aesthetic measure of 20 sample schemes was conducted. Then, with BP neural network, a correlated model was established between each tier-two aesthetic evaluation values and integral aesthetic evaluation values. Figure 1 is the flow chart of aesthetic evaluation. Figure 1. The flow chart of aesthetic evaluation 3.CONSTRUCTING OF THE AESTHETIC EVALUATION SYSTEM 3.1 Analysizing factors of the aesthetic evaluation Aesthetic evaluation of appearance design is obtained through analysis on the premise that product design has satisfied functional requirements. According to structural features and functions, the paper established four tier-one criteria for aesthetic evaluation on appearance design of tractors: morphological aesthetic measure, color aesthetic measure, function aesthetic measure, and other aesthetic factors. Sixteen tiertwo criteria were determined, four of which were function aesthetic measure, three for color aesthetic measure, six for morphological aesthetic measure, and three for other aesthetic factors. 3.2 The method of obtaining test data for the aesthetic evaluation In the collection of over 100 pictures of different tractors appearance design, the paper selected out 30 clear ones with coordinated shooting angles and distinct appearance. With reference to morphological aesthetic measure, color aesthetic measure, function aesthetic measure, and other aesthetic factors, the paper classified and incorporated the 30 pictures into 20 sample schemes for research in the paper. The result of the first interview demonstrated that only those with relative professional backgrounds could understand appearance design factors concerning tractors well. Therefore, the respondents were chosen to be students majoring in machine design, agricultural machine design, or industrial design, agricultural machinery designers, and interested mass. 120 questionnaires were issued on platforms of Internet, WeChat 27
4 groups, and QQ groups, the percentage of valid questionnaires being 95%. Spss (Liu, 2014) analytic software was used for statistical analysis on collected evaluation data; 7- order Likert scale was applied to aesthetic evaluation, where 1 denoted the lowest aesthetic perception, 7 the highest aesthetic perception, and 4 the mean aesthetic perception. 18 experts in the industry were invited to give integral aesthetic evaluation under the hundred-mark system. Table 1 Aesthetic evaluation indices Assessment Objectives Evaluation onthe aesthetics measure First-class index level Functional aesthetic measure Morphological aesthetic measure Colour aesthetics Other aesthetics measure Second-class index level Conform to Cultivation practice Conform to Cultivation environment Explicit functional areas Continuous transition between functional areas Conform to functional requirement Functional unity Proper proportion Equilibrium and stability Unity in change Balanced contrast Conform to functional requirement Overall colour harmony Comply with the operating environment Detail processing Surface treatment Economical modeling 4.ESTABLISHING THE AESTHETIC EVALUATION MODEL BASED ON BP NEURAL NETWORK 4.1 Principles of BP neural network Initiated by a scientist group headed by Rumelhart and McCelland, BP neural network is a multi-layered feedforward network that is trained by back propagation algorithm, and has become one of the most widespread neural network models. The backpropagation learning algorithm can be divided into two phases: forward propagation of input messages and backward propagation of errors (the difference between the targeted and actual output values)(lazard, 2016). Neurons in the input layer are responsible for receiving outside input and transferring it to neurons in the middle layer. The middle layer is in charge of processing and converting internal information. According to demands for conversion, the middle layer can be alternatively designed as a single hidden layer or multiple hidden layers (Li et al., 2016). After all the information transferred from the middle layer to the output layer underwent further processing, a forward propagation of input messages is completed. The rest is outputting information processing results to the outside through the output layer. If actual output fails to agree with expected output, the stage of error backward propagation starts up. The backward propagation algorithm calculates the gradient of the error of the network regarding the 28
5 network's modifiable weights, and passes information stepwise to the hidden layer and the input layer. The procedure repeats, during which weights in various layers are modified and the neural network is trained. This process will not stop until output errors are reduced to an acceptable degree or until the number of training has reached the preset times. Figure 2 shows the working principle of BP neural network. Figure 2. The working principle of BP neural network 4.1 The aesthetic evaluation model of tractors appearance design based on BP neural network In constructing the aesthetic evaluation model based on BP neural network, it is necessary to determine the number of nodes in the input layer, the hidden layer, and the output layer, respectively. For the research in the paper, the 16 tier-two index values as the input information corresponded to 16 nodes in the input layer; the one integral evaluation value as the output result was converted to one node in the output layer. On the MatlabR2014 software platform, the aesthetic evaluation model of tractors appearance design based on BP neural network was established. Figure 3 shows the BP neural network structures concerning aesthetic evaluation. Figure 3. The BP neural network structures concerning aesthetic evaluation 29
6 5.SIMULATION AND VERIFICATION 5.1 Sample data Training samples The sample data contained learning samples and test samples. 20 sample schemes of tractors were chosen as test data in the paper. Table 2 is the statistical results of 20 tiertwo indices. Table 3 is the integral evaluation value, where 15 samples were stochastically selected as learning samples and the rest as test samples. As could be seen from Table 3, the aesthetic evaluation order was: A>F>P>I>L>T>K>G>M>C>B>D>E>S>H>R>Q>O>J>N. Table 2 The statistical results of 20 tier-two indices The sample Values of the evaluation of target X1 X2 X3 X4 X5 X6 X7 X14 X15 X16 A B C D E F G H I J K L M N O P Q R S T Sample data processing Table 3 The integral evaluation values A B C D E F G H R S T Before the BP neural network underwent training, all of the sample data (including input data and output data) should be normalized. This measure was done to eliminate bizarre sample data, summarize the same sample data itself and its distribution characteristics, and accelerate learning efficiency as well as computation convergence efficiency. Antinormalization processing should be undertaken on simulation results so that the processed data reflected real results. Two linear transfer functions (Equation (1) and 30
7 Equation (2)) were used for normalization processing and anti-normalization processing, respectively. pn p p p max p min min (1) Where p n denoted normalized values, P represented original sample values, and p max and p min were the maximum original value and the minimum original value, respectively. q qn( q max q min) q min (2) Where q denoted anti-normalized values, q n represented original simulation values, and q max and q min were the maximum simulation value and the minimum simulation value, respectively. 5.2 Sample training and verification 16 tier-two evaluation values for the 15 sample schemes in Table 2 were the nodes in the input layer, and the integral evaluation value was the node in the output layer. After several trainings, it was obtained that: the number of nodes in the hidden layer was 8, the learning rate was 0.1; the targeted error value was , and the training time was The training results in Figure 4 agreed well with real values. Figure 4. Comparison between training results and real results Test samples were inputted in the trained BP neural networks, and corresponding training results could be obtained (as shown in Figure 5). Table 4 shows that the error rates of five training samples were 1.37, 1.07, 2.04, 3.96 and 4.73, respectively. The low error rates proved that the training results were reliable. 31
8 6.CONCLUSION Figure 5. Comparison between test values and real values Table 4 Error rates for test values and real values The samples Real results Testvalues Error rates% C A M G K By combining aesthetic characteristics with attributes of tractors appearance design, the paper establishes tier-one and -two criteria to conduct aesthetic evaluation on appearance design of wheeled tractors. With integral evaluation value by expert as the output layer, BP neural network acts as the basis of the proposed evaluation model in the paper, by which way quantitative aesthetic evaluation on appearance design of wheeled tractors is realized. 15 random samples of the 20 selected samples in the paper were tested with the established aesthetic evaluation model. The results show that test values and real values fit with each other, and that training values agree well with real values. That the error rates of five training samples were 1.37, 1.07, 2.04, 3.96 and 4.73, respectively, proves that the above aesthetic evaluation order maintains constant. This result weighs greatly in aesthetic studies of appearance design of products, and provides reference for appearance design as well. 7. REFERENCES Chen M.,LyuJ.H. (2014). Aesthetic Evaluation of Furniture Design Based on ANP Method, Applied Mechanics and Materials, 574(7), Doi: / Cui J.B., Kou F.M. (2003a). Quantitative Study about Merchandise Esthetics(II), Journal of Gansu Normal College, 8(2), Cui J.B., Kou F.M. (2003b). The Merchandise Esthetics Quantitative Analysis, Journal of Lanzhou University(Natural Science), 39(5), Gan Q.C., Xu R.P. (2010). The Aesthetic Evaluation of the Product Design, Art of Design (Journal of Shandong University of Art and Design), (2), Hua E. (1997). Research into Valuing Method of Degree of Beauty of Product. Bulletin of Science and Technology, 13(4),
9 Hu J.B., Tang X.Q. (2004). BP Algorithm and Its Application in Artificial Neural Network, Information Technology, 28(4), 1-4. Kou F.M., Cui J.B. (2002). Quantitative Study about Merchandise Esthetics, Journal of Gansu Normal College, 7(5): Lazard M. (2016). Heat Transfer in a Semi-Transparent Parallelogram Shaped Medium. International Journal of Heat and Technology, 34(s2), S420-S424. Doi: /ijht.34S232. Liu A.Y. (2014). Fundamental Analysis of SpssTutorial, Peking University Press-ISBN: , Beijing, China. Li M., Liao R., Luo W., Dong Y. (2016). Improved Aziz Prediction Model of Pressure Gradient for Multiphase Flow in Wells. International Journal of Heat and Technology, 34(3), Doi: /ijht Li Z.D., Guo J.K., Wang Z.J., Miao S.Y. (2016). Research on combined forecasting model for logistic material demand based on BP neural network and grey system theory, Revista de la Facultad de Ingenieria, 31(4), Doi: / Sun W.X. (2013). The Application Research of Modern Design Technology in Agricultural Machinery Engineering Design, Agriculture & Technology, 33(9), Tang Y.C., Hu J.P. (2008). Application of Neural Network in Tourism Sustainable Development Capacity Assessment, Computer Engineering and Design, 29(18), Zeng L., Liu D.P. (2010). A study on the model of furniture aesthetic value based on fuzzy AHP comprehensive evaluation. International Conference on Fuzzy Systems & Knowledge Discovery, (3), Doi: /FSKD Zhang Q.N.,Ren W.T., Cui H.G., Liu H.Y. (2013). Research of Implementation Effect of China AgriculturalMechanization Promotion Law. Journal of Agricultural Mechanization Research, (3), Zhang J.M. (2010). The Exterior Design Research of the Agricultural Machinery. Journal of Agricultural Mechanization Research, (4): Zhou L., XueC.Q., Tang W.C., Li J., NiuY.F. (2013). Aesthetic Evaluation Method of Interface Elements Layout Design. Journal of Computer-Aided Design and Computer Graphics, 25(5), Zhu S.C. (2005). Catching the Opportunity to Meet the Challenges 0f Tractor Market Internationalization. Farm Machinery, (11),
Broken Wires Diagnosis Method Numerical Simulation Based on Smart Cable Structure
PHOTONIC SENSORS / Vol. 4, No. 4, 2014: 366 372 Broken Wires Diagnosis Method Numerical Simulation Based on Smart Cable Structure Sheng LI 1*, Min ZHOU 2, and Yan YANG 3 1 National Engineering Laboratory
More informationResearch Article. ZOOM FFT technology based on analytic signal and band-pass filter and simulation with LabVIEW
Available online www.jocpr.com Journal of Chemical and Pharmaceutical Research, 2015, 7(3):359-363 Research Article ISSN : 0975-7384 CODEN(USA) : JCPRC5 ZOOM FFT technology based on analytic signal and
More informationThe Design of Efficient Viterbi Decoder and Realization by FPGA
Modern Applied Science; Vol. 6, No. 11; 212 ISSN 1913-1844 E-ISSN 1913-1852 Published by Canadian Center of Science and Education The Design of Efficient Viterbi Decoder and Realization by FPGA Liu Yanyan
More informationThe Investigation and Analysis of College Students Dressing Aesthetic Values
The Investigation and Analysis of College Students Dressing Aesthetic Values Su Pei Song Xiaoxia Shanghai University of Engineering Science Shanghai, 201620 China Abstract This study investigated college
More informationISSN: ISO 9001:2008 Certified International Journal of Engineering and Innovative Technology (IJEIT) Volume 7, Issue 12, June 2018
Use Aesthetic Measure to Analyze the Consumer Preference Model of Product Forms Shih-Wen Hsiao, Zhang-Chen Tian Department of Industrial Design, National Cheng Kung University, Taiwan Abstract As technology
More informationIdeological and Political Education Under the Perspective of Receptive Aesthetics Jie Zhang, Weifang Zhong
International Conference on Education Technology and Social Science (ICETSS 2014) Ideological and Political Education Under the Perspective of Receptive Aesthetics Jie Zhang, Weifang Zhong School of Marxism,
More informationThe Statistical Analysis of the Influence of Chinese Mathematical Journals Cited by Journal Citation Reports
Cross-Cultural Communication Vol. 11, No. 9, 2015, pp. 24-28 DOI:10.3968/7523 ISSN 1712-8358[Print] ISSN 1923-6700[Online] www.cscanada.net www.cscanada.org The Statistical Analysis of the Influence of
More informationCHAPTER-9 DEVELOPMENT OF MODEL USING ANFIS
CHAPTER-9 DEVELOPMENT OF MODEL USING ANFIS 9.1 Introduction The acronym ANFIS derives its name from adaptive neuro-fuzzy inference system. It is an adaptive network, a network of nodes and directional
More informationReal-time QC in HCHP seismic acquisition Ning Hongxiao, Wei Guowei and Wang Qiucheng, BGP, CNPC
Chengdu China Ning Hongxiao, Wei Guowei and Wang Qiucheng, BGP, CNPC Summary High channel count and high productivity bring huge challenges to the QC activities in the high-density and high-productivity
More informationResearch on the Development of Education Level of University Sports Aesthetics Based on AHP
OPEN ACCESS EURASIA Journal of Mathematics Science and Technology Education ISSN: 1305-8223 (online) 1305-8215 (print) 2017 13(8):5133-5140 DOI: 10.12973/eurasia.2017.00988a Research on the Development
More informationVarious Artificial Intelligence Techniques For Automated Melody Generation
Various Artificial Intelligence Techniques For Automated Melody Generation Nikahat Kazi Computer Engineering Department, Thadomal Shahani Engineering College, Mumbai, India Shalini Bhatia Assistant Professor,
More informationInvestigation of Aesthetic Quality of Product by Applying Golden Ratio
Investigation of Aesthetic Quality of Product by Applying Golden Ratio Vishvesh Lalji Solanki Abstract- Although industrial and product designers are extremely aware of the importance of aesthetics quality,
More informationFerenc, Szani, László Pitlik, Anikó Balogh, Apertus Nonprofit Ltd.
Pairwise object comparison based on Likert-scales and time series - or about the term of human-oriented science from the point of view of artificial intelligence and value surveys Ferenc, Szani, László
More informationDESIGN PATENTS FOR IMAGE INTERFACES
251 Journal of Technology, Vol. 32, No. 4, pp. 251-259 (2017) DESIGN PATENTS FOR IMAGE INTERFACES Rain Chen 1, * Thomas C. Blair 2 Sung-Yun Shen 3 Hsiu-Ching Lu 4 1 Department of Visual Communication Design
More informationResearch on Control Strategy of Complex Systems through VSC-HVDC Grid Parallel Device
Sensors & Transducers, Vol. 75, Issue 7, July, pp. 9-98 Sensors & Transducers by IFSA Publishing, S. L. http://www.sensorsportal.com Research on Control Strategy of Complex Systems through VSC-HVDC Grid
More informationChord Classification of an Audio Signal using Artificial Neural Network
Chord Classification of an Audio Signal using Artificial Neural Network Ronesh Shrestha Student, Department of Electrical and Electronic Engineering, Kathmandu University, Dhulikhel, Nepal ---------------------------------------------------------------------***---------------------------------------------------------------------
More informationAvoiding False Pass or False Fail
Avoiding False Pass or False Fail By Michael Smith, Teradyne, October 2012 There is an expectation from consumers that today s electronic products will just work and that electronic manufacturers have
More informationQuantify. The Subjective. PQM: A New Quantitative Tool for Evaluating Display Design Options
PQM: A New Quantitative Tool for Evaluating Display Design Options Software, Electronics, and Mechanical Systems Laboratory 3M Optical Systems Division Jennifer F. Schumacher, John Van Derlofske, Brian
More informationDistortion Analysis Of Tamil Language Characters Recognition
www.ijcsi.org 390 Distortion Analysis Of Tamil Language Characters Recognition Gowri.N 1, R. Bhaskaran 2, 1. T.B.A.K. College for Women, Kilakarai, 2. School Of Mathematics, Madurai Kamaraj University,
More informationSkip Length and Inter-Starvation Distance as a Combined Metric to Assess the Quality of Transmitted Video
Skip Length and Inter-Starvation Distance as a Combined Metric to Assess the Quality of Transmitted Video Mohamed Hassan, Taha Landolsi, Husameldin Mukhtar, and Tamer Shanableh College of Engineering American
More informationREFURBISHMENT OF SECONDARY SYSTEMS IN HIGH VOLTAGE SUBSTATIONS LESSONS LEARNED IN VENEZUELA
21, rue d'artois, F-75008 Paris http://www.cigre.org B3-110 Session 2004 CIGRÉ REFURBISHMENT OF SECONDARY SYSTEMS IN HIGH VOLTAGE SUBSTATIONS LESSONS LEARNED IN VENEZUELA by E. PADILLA * L. CEDEÑO E. PELAYO
More informationAchieving Faster Time to Tapeout with In-Design, Signoff-Quality Metal Fill
White Paper Achieving Faster Time to Tapeout with In-Design, Signoff-Quality Metal Fill May 2009 Author David Pemberton- Smith Implementation Group, Synopsys, Inc. Executive Summary Many semiconductor
More informationKeywords: Edible fungus, music, production encouragement, synchronization
Advance Journal of Food Science and Technology 6(8): 968-972, 2014 DOI:10.19026/ajfst.6.141 ISSN: 2042-4868; e-issn: 2042-4876 2014 Maxwell Scientific Publication Corp. Submitted: March 14, 2014 Accepted:
More informationOn-Line Monitoring of Cable Trench and Cable Pit by Using Metal Armored FBG Temperature Sensors
International Journal of Smart Grid and Clean Energy On-Line Monitoring of Cable Trench and Cable Pit by Using Metal Armored FBG Temperature Sensors Zhen Wang a,c, Min Cao b, Da-Da Wang b, Shao-Quan Zhang
More informationAnalysis on the Value of Inner Music Hearing for Cultivation of Piano Learning
Cross-Cultural Communication Vol. 12, No. 6, 2016, pp. 65-69 DOI:10.3968/8652 ISSN 1712-8358[Print] ISSN 1923-6700[Online] www.cscanada.net www.cscanada.org Analysis on the Value of Inner Music Hearing
More informationEfficient Implementation of Neural Network Deinterlacing
Efficient Implementation of Neural Network Deinterlacing Guiwon Seo, Hyunsoo Choi and Chulhee Lee Dept. Electrical and Electronic Engineering, Yonsei University 34 Shinchon-dong Seodeamun-gu, Seoul -749,
More informationData Science + Content. Todd Holloway, Director of Content Science & Algorithms for Smart Content Summit, 3/9/2017
Data Science + Content Todd Holloway, Director of Content Science & Algorithms for Smart Content Summit, 3/9/2017 Netflix by the Numbers... > 90M members Available worldwide (except China) > 1000 device
More informationDetecting and Analyzing System for the Vibration Comfort of Car Seats Based on LabVIEW
Detecting and Analyzing System for the Vibration Comfort of Car Seats Based on LabVIEW Ying Qiu Key Laboratory of Conveyance and Equipment, Ministry of Education School of Mechanical and Electronical Engineering,
More informationVLSI Chip Design Project TSEK06
VLSI Chip Design Project TSEK06 Project Description and Requirement Specification Version 1.1 Project: High Speed Serial Link Transceiver Project number: 4 Project Group: Name Project members Telephone
More informationChapter 2. Analysis of ICT Industrial Trends in the IoT Era. Part 1
Chapter 2 Analysis of ICT Industrial Trends in the IoT Era This chapter organizes the overall structure of the ICT industry, given IoT progress, and provides quantitative verifications of each market s
More informationBioTechnology. An Indian Journal FULL PAPER. Trade Science Inc.
[Type text] [Type text] [Type text] ISSN : 0974-7435 Volume 10 Issue 19 BioTechnology 2014 An Indian Journal FULL PAPER BTAIJ, 10(19), 2014 [11171-11176] Study on background monitoring system of intelligent
More informationSETUP TIME REDUCTION FOR CNC HOBBING MACHINE IMPLEMENTING SMED AND DESIGN OF SPLIT FIXTURE
SETUP TIME REDUCTION FOR CNC HOBBING MACHINE IMPLEMENTING SMED AND DESIGN OF SPLIT FIXTURE 1 KARAN SHARMA, 2 NAIK NITHESH, 3 ARUN PRABHU, 4 GEORGE VARGHESE 1,2,3,4 Dept. of Mechanical and Mfg. Engg, Manipal
More informationAutomated sound generation based on image colour spectrum with using the recurrent neural network
Automated sound generation based on image colour spectrum with using the recurrent neural network N A Nikitin 1, V L Rozaliev 1, Yu A Orlova 1 and A V Alekseev 1 1 Volgograd State Technical University,
More informationThe Research of Controlling Loudness in the Timbre Subjective Perception Experiment of Sheng
The Research of Controlling Loudness in the Timbre Subjective Perception Experiment of Sheng S. Zhu, P. Ji, W. Kuang and J. Yang Institute of Acoustics, CAS, O.21, Bei-Si-huan-Xi Road, 100190 Beijing,
More informationPRO LIGNO Vol. 12 N pp
METHODS FOR DETERMINING THE AESTHETIC APPEAL OF FURNITURE Mária Réka ANTAL PhD, Assistant Professor - University of West Hungary Address: Bajcsy Zs. st., nr.4, 9400 Sopron, Hungary E-mail: reka.maria.antal@skk.nyme.hu
More informationThe Discussion about Truth Viewpoint and its Significance on the View of Broad-Spectrum Philosophy
Research Journal of Applied Sciences, Engineering and Technology 4(21): 4515-4519, 2012 ISSN: 2040-7467 Maxwell Scientific Organization, 2012 Submitted: May 15, 2012 Accepted: June 15, 2012 Published:
More informationSocioBrains THE INTEGRATED APPROACH TO THE STUDY OF ART
THE INTEGRATED APPROACH TO THE STUDY OF ART Tatyana Shopova Associate Professor PhD Head of the Center for New Media and Digital Culture Department of Cultural Studies, Faculty of Arts South-West University
More informationFeasibility Study of Stochastic Streaming with 4K UHD Video Traces
Feasibility Study of Stochastic Streaming with 4K UHD Video Traces Joongheon Kim and Eun-Seok Ryu Platform Engineering Group, Intel Corporation, Santa Clara, California, USA Department of Computer Engineering,
More informationResearch Article. ISSN (Print) *Corresponding author Shireen Fathima
Scholars Journal of Engineering and Technology (SJET) Sch. J. Eng. Tech., 2014; 2(4C):613-620 Scholars Academic and Scientific Publisher (An International Publisher for Academic and Scientific Resources)
More informationRetiming Sequential Circuits for Low Power
Retiming Sequential Circuits for Low Power José Monteiro, Srinivas Devadas Department of EECS MIT, Cambridge, MA Abhijit Ghosh Mitsubishi Electric Research Laboratories Sunnyvale, CA Abstract Switching
More informationMusic Composition with RNN
Music Composition with RNN Jason Wang Department of Statistics Stanford University zwang01@stanford.edu Abstract Music composition is an interesting problem that tests the creativity capacities of artificial
More informationIN 1968, Anderson [6] proposed a memory structure named
IEEE TRANSACTIONS ON NEURAL NETWORKS, VOL 16, NO 2, MARCH 2005 293 Encoding Strategy for Maximum Noise Tolerance Bidirectional Associative Memory Dan Shen Jose B Cruz, Jr, Life Fellow, IEEE Abstract In
More informationIMPLEMENTATION OF X-FACTOR CIRCUITRY IN DECOMPRESSOR ARCHITECTURE
IMPLEMENTATION OF X-FACTOR CIRCUITRY IN DECOMPRESSOR ARCHITECTURE SATHISHKUMAR.K #1, SARAVANAN.S #2, VIJAYSAI. R #3 School of Computing, M.Tech VLSI design, SASTRA University Thanjavur, Tamil Nadu, 613401,
More informationImproving Performance in Neural Networks Using a Boosting Algorithm
- Improving Performance in Neural Networks Using a Boosting Algorithm Harris Drucker AT&T Bell Laboratories Holmdel, NJ 07733 Robert Schapire AT&T Bell Laboratories Murray Hill, NJ 07974 Patrice Simard
More informationConstruction of Cable Digital TV Head-end. Yang Zhang
Advanced Materials Research Online: 2014-05-21 ISSN: 1662-8985, Vol. 933, pp 682-686 doi:10.4028/www.scientific.net/amr.933.682 2014 Trans Tech Publications, Switzerland Construction of Cable Digital TV
More informationReducing tilt errors in moiré linear encoders using phase-modulated grating
REVIEW OF SCIENTIFIC INSTRUMENTS VOLUME 71, NUMBER 6 JUNE 2000 Reducing tilt errors in moiré linear encoders using phase-modulated grating Ju-Ho Song Multimedia Division, LG Electronics, #379, Kasoo-dong,
More informationEnabling editors through machine learning
Meta Follow Meta is an AI company that provides academics & innovation-driven companies with powerful views of t Dec 9, 2016 9 min read Enabling editors through machine learning Examining the data science
More informationThe Inspiration of Folk Fine Arts based on Common Theoretical Model to Modern Art Design
Abstract The Inspiration of Folk Fine Arts based on Common Theoretical Model to Modern Art Design Wenquan Wang Yanan University Art Institute of LuXun, Yan an 716000, China Cultural connotation and humanity
More informationObjectives. Combinational logics Sequential logics Finite state machine Arithmetic circuits Datapath
Objectives Combinational logics Sequential logics Finite state machine Arithmetic circuits Datapath In the previous chapters we have studied how to develop a specification from a given application, and
More informationWHAT'S HOT: LINEAR POPULARITY PREDICTION FROM TV AND SOCIAL USAGE DATA Jan Neumann, Xiaodong Yu, and Mohamad Ali Torkamani Comcast Labs
WHAT'S HOT: LINEAR POPULARITY PREDICTION FROM TV AND SOCIAL USAGE DATA Jan Neumann, Xiaodong Yu, and Mohamad Ali Torkamani Comcast Labs Abstract Large numbers of TV channels are available to TV consumers
More informationSIDRA INTERSECTION 8.0 UPDATE HISTORY
Akcelik & Associates Pty Ltd PO Box 1075G, Greythorn, Vic 3104 AUSTRALIA ABN 79 088 889 687 For all technical support, sales support and general enquiries: support.sidrasolutions.com SIDRA INTERSECTION
More informationResearch on Color Reproduction Characteristics of Mobile Terminals
Applied Mechanics and Materials Submitted: 2014-09-14 ISSN: 1662-7482, Vol. 731, pp 80-86 Accepted: 2014-11-19 doi:10.4028/www.scientific.net/amm.731.80 Online: 2015-01-29 2015 Trans Tech Publications,
More informationinter.noise 2000 The 29th International Congress and Exhibition on Noise Control Engineering August 2000, Nice, FRANCE
Copyright SFA - InterNoise 2000 1 inter.noise 2000 The 29th International Congress and Exhibition on Noise Control Engineering 27-30 August 2000, Nice, FRANCE I-INCE Classification: 7.9 THE FUTURE OF SOUND
More informationMVP: Capture-Power Reduction with Minimum-Violations Partitioning for Delay Testing
MVP: Capture-Power Reduction with Minimum-Violations Partitioning for Delay Testing Zhen Chen 1, Krishnendu Chakrabarty 2, Dong Xiang 3 1 Department of Computer Science and Technology, 3 School of Software
More informationA Discriminative Approach to Topic-based Citation Recommendation
A Discriminative Approach to Topic-based Citation Recommendation Jie Tang and Jing Zhang Department of Computer Science and Technology, Tsinghua University, Beijing, 100084. China jietang@tsinghua.edu.cn,zhangjing@keg.cs.tsinghua.edu.cn
More informationOn the Integration of Chemistry and Art Li-Zhen YANG 1,a,*, Bo-Wen LIU 1 and Ting-Yue LIU 2
2016 2 nd International Conference on Modern Education and Social Science (MESS 2016) ISBN: 978-1-60595-346-5 On the Integration of Chemistry and Art Li-Zhen YANG 1,a,*, Bo-Wen LIU 1 and Ting-Yue LIU 2
More informationDeepID: Deep Learning for Face Recognition. Department of Electronic Engineering,
DeepID: Deep Learning for Face Recognition Xiaogang Wang Department of Electronic Engineering, The Chinese University i of Hong Kong Machine Learning with Big Data Machine learning with small data: overfitting,
More informationDJ Darwin a genetic approach to creating beats
Assaf Nir DJ Darwin a genetic approach to creating beats Final project report, course 67842 'Introduction to Artificial Intelligence' Abstract In this document we present two applications that incorporate
More informationArts, Computers and Artificial Intelligence
Arts, Computers and Artificial Intelligence Sol Neeman School of Technology Johnson and Wales University Providence, RI 02903 Abstract Science and art seem to belong to different cultures. Science and
More informationAesthetics of Web and Mobile Interfaces of a Learning Management System: A Comparative Analysis
Yang, J. C. et al. (Eds.) (2018). Proceedings of the 26 th International Conference on Computers in Education. Philippines: Asia-Pacific Society for Computers in Education Aesthetics of Web and Mobile
More informationHow to Manage Video Frame- Processing Time Deviations in ASIC and SOC Video Processors
WHITE PAPER How to Manage Video Frame- Processing Time Deviations in ASIC and SOC Video Processors Some video frames take longer to process than others because of the nature of digital video compression.
More informationFPGA Implementation of DA Algritm for Fir Filter
International Journal of Computational Engineering Research Vol, 03 Issue, 8 FPGA Implementation of DA Algritm for Fir Filter 1, Solmanraju Putta, 2, J Kishore, 3, P. Suresh 1, M.Tech student,assoc. Prof.,Professor
More informationLOW-COMPLEXITY BIG VIDEO DATA RECORDING ALGORITHMS FOR URBAN SURVEILLANCE SYSTEMS
LOW-COMPLEXITY BIG VIDEO DATA RECORDING ALGORITHMS FOR URBAN SURVEILLANCE SYSTEMS Ling Hu and Qiang Ni School of Computing and Communications, Lancaster University, LA1 4WA, UK ABSTRACT Big Video data
More informationResearch on sampling of vibration signals based on compressed sensing
Research on sampling of vibration signals based on compressed sensing Hongchun Sun 1, Zhiyuan Wang 2, Yong Xu 3 School of Mechanical Engineering and Automation, Northeastern University, Shenyang, China
More informationDISTRIBUTION STATEMENT A 7001Ö
Serial Number 09/678.881 Filing Date 4 October 2000 Inventor Robert C. Higgins NOTICE The above identified patent application is available for licensing. Requests for information should be addressed to:
More informationBibliometric Rankings of Journals Based on the Thomson Reuters Citations Database
Instituto Complutense de Análisis Económico Bibliometric Rankings of Journals Based on the Thomson Reuters Citations Database Chia-Lin Chang Department of Applied Economics Department of Finance National
More informationOptimization of Multi-Channel BCH Error Decoding for Common Cases. Russell Dill Master's Thesis Defense April 20, 2015
Optimization of Multi-Channel BCH Error Decoding for Common Cases Russell Dill Master's Thesis Defense April 20, 2015 Bose-Chaudhuri-Hocquenghem (BCH) BCH is an Error Correcting Code (ECC) and is used
More informationAdaptive Distributed Compressed Video Sensing
Journal of Information Hiding and Multimedia Signal Processing 2014 ISSN 2073-4212 Ubiquitous International Volume 5, Number 1, January 2014 Adaptive Distributed Compressed Video Sensing Xue Zhang 1,3,
More informationApplying Bacterial Memetic Algorithm for Training Feedforward and Fuzzy Flip-Flop based Neural Networks
Applying Bacterial Memetic Algorithm for Training Feedforward and Fuzzy Flip-Flop based Neural Networks László Gál 1,2 János Botzheim 3,4 László T. Kóczy 1,4 Antonio E. Ruano 5 1 Institute of Information
More informationHigh-Frequency Trading and Probability Theory
High-Frequency Trading and Probability Theory East China Normal University Scientific Reports Chief Editor Weian Zheng Changjiang Chair Professor School of Finance and Statistics East China Normal University,
More informationMitigation of Cascading Outages and Prevention of Blackouts:System-Wide Corrective Control
10th Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion 6-9 November 2016 Belgrade, Serbia Mitigation of Cascading Outages and Prevention of Blackouts:System-Wide
More informationAn Indian Journal FULL PAPER ABSTRACT KEYWORDS. Trade Science Inc.
[Type text] [Type text] [Type text] ISSN : 0974-7435 Volume 10 Issue 15 BioTechnology 2014 An Indian Journal FULL PAPER BTAIJ, 10(15), 2014 [8863-8868] Study on cultivating the rhythm sensation of the
More informationfrom ocean to cloud ADAPTING THE C&A PROCESS FOR COHERENT TECHNOLOGY
ADAPTING THE C&A PROCESS FOR COHERENT TECHNOLOGY Peter Booi (Verizon), Jamie Gaudette (Ciena Corporation), and Mark André (France Telecom Orange) Email: Peter.Booi@nl.verizon.com Verizon, 123 H.J.E. Wenckebachweg,
More informationImplementation of BIST Test Generation Scheme based on Single and Programmable Twisted Ring Counters
IOSR Journal of Mechanical and Civil Engineering (IOSR-JMCE) e-issn: 2278-1684, p-issn: 2320-334X Implementation of BIST Test Generation Scheme based on Single and Programmable Twisted Ring Counters N.Dilip
More informationSharif University of Technology. SoC: Introduction
SoC Design Lecture 1: Introduction Shaahin Hessabi Department of Computer Engineering System-on-Chip System: a set of related parts that act as a whole to achieve a given goal. A system is a set of interacting
More informationResearch on Precise Synchronization System for Triple Modular Redundancy (TMR) Computer
ISBN 978-93-84468-19-4 Proceedings of 2015 International Conference on Electronics, Computer and Manufacturing Engineering (ICECME'2015) London, March 21-22, 2015, pp. 193-198 Research on Precise Synchronization
More informationOn the Characterization of Distributed Virtual Environment Systems
On the Characterization of Distributed Virtual Environment Systems P. Morillo, J. M. Orduña, M. Fernández and J. Duato Departamento de Informática. Universidad de Valencia. SPAIN DISCA. Universidad Politécnica
More informationOPERATIONS SEQUENCING IN A CABLE ASSEMBLY SHOP
OPERATIONS SEQUENCING IN A CABLE ASSEMBLY SHOP Ahmet N. Ceranoglu* 1, Ekrem Duman*, M. Hamdi Ozcelik**, * Dogus University, Dept. of Ind. Eng., Acibadem, Istanbul, Turkey ** Yapi Kredi Bankasi, Dept. of
More informationAuto classification and simulation of mask defects using SEM and CAD images
Auto classification and simulation of mask defects using SEM and CAD images Tung Yaw Kang, Hsin Chang Lee Taiwan Semiconductor Manufacturing Company, Ltd. 25, Li Hsin Road, Hsinchu Science Park, Hsinchu
More informationStudy of White Gaussian Noise with Varying Signal to Noise Ratio in Speech Signal using Wavelet
American International Journal of Research in Science, Technology, Engineering & Mathematics Available online at http://www.iasir.net ISSN (Print): 2328-3491, ISSN (Online): 2328-3580, ISSN (CD-ROM): 2328-3629
More informationNH 67, Karur Trichy Highways, Puliyur C.F, Karur District UNIT-III SEQUENTIAL CIRCUITS
NH 67, Karur Trichy Highways, Puliyur C.F, 639 114 Karur District DEPARTMENT OF ELETRONICS AND COMMUNICATION ENGINEERING COURSE NOTES SUBJECT: DIGITAL ELECTRONICS CLASS: II YEAR ECE SUBJECT CODE: EC2203
More informationEVOLVING DESIGN LAYOUT CASES TO SATISFY FENG SHUI CONSTRAINTS
EVOLVING DESIGN LAYOUT CASES TO SATISFY FENG SHUI CONSTRAINTS ANDRÉS GÓMEZ DE SILVA GARZA AND MARY LOU MAHER Key Centre of Design Computing Department of Architectural and Design Science University of
More informationEstimation Scheme of 22 kv Overhead Lines Power System using ANN
Available online at www.sciencedirect.com Energy Procedia 34 (2013 ) 228 234 10th Eco-Energy and Materials Science and Engineering (EMSES2012) Estimation Scheme of 22 kv Overhead Lines Power System using
More informationFREE TV AUSTRALIA OPERATIONAL PRACTICE OP- 59 Measurement and Management of Loudness in Soundtracks for Television Broadcasting
Page 1 of 10 1. SCOPE This Operational Practice is recommended by Free TV Australia and refers to the measurement of audio loudness as distinct from audio level. It sets out guidelines for measuring and
More informationDetection and demodulation of non-cooperative burst signal Feng Yue 1, Wu Guangzhi 1, Tao Min 1
International Conference on Applied Science and Engineering Innovation (ASEI 2015) Detection and demodulation of non-cooperative burst signal Feng Yue 1, Wu Guangzhi 1, Tao Min 1 1 China Satellite Maritime
More informationTradeoffs in information graphics 1. Andrew Gelman 2 and Antony Unwin Oct 2012
Tradeoffs in information graphics 1 Andrew Gelman 2 and Antony Unwin 3 27 Oct 2012 The visual display of quantitative information (to use Edward Tufte s wonderful term) is a diverse field or set of fields,
More informationLess is More: Picking Informative Frames for Video Captioning
Less is More: Picking Informative Frames for Video Captioning ECCV 2018 Yangyu Chen 1, Shuhui Wang 2, Weigang Zhang 3 and Qingming Huang 1,2 1 University of Chinese Academy of Science, Beijing, 100049,
More informationOperating Bio-Implantable Devices in Ultra-Low Power Error Correction Circuits: using optimized ACS Viterbi decoder
Operating Bio-Implantable Devices in Ultra-Low Power Error Correction Circuits: using optimized ACS Viterbi decoder Roshini R, Udhaya Kumar C, Muthumani D Abstract Although many different low-power Error
More informationAnalysis of Different Pseudo Noise Sequences
Analysis of Different Pseudo Noise Sequences Alka Sawlikar, Manisha Sharma Abstract Pseudo noise (PN) sequences are widely used in digital communications and the theory involved has been treated extensively
More informationVersion : 1.0: klm. General Certificate of Secondary Education November Higher Unit 1. Final. Mark Scheme
Version : 1.0: 11.10 klm General Certificate of Secondary Education November 2010 Mathematics Higher Unit 1 43601H Final Mark Scheme Mark schemes are prepared by the Principal Examiner and considered,
More informationMAKE HAZARD ANALYSES BETTER SINGLE-USE DEVICES GAIN PERMANENT PLACE PATH FOR PROCESS SAFETY EMERGES
MAKE HAZARD ANALYSES BETTER SINGLE-USE DEVICES GAIN PERMANENT PLACE PATH FOR PROCESS SAFETY EMERGES YOU RE READY. Installation is complete. Your distributed control system (DCS) modernization project nears
More informationPEP-I1 RF Feedback System Simulation
SLAC-PUB-10378 PEP-I1 RF Feedback System Simulation Richard Tighe SLAC A model containing the fundamental impedance of the PEP- = I1 cavity along with the longitudinal beam dynamics and feedback system
More informationThe acoustics of the Concert Hall and the Chinese Theatre in the Beijing National Grand Theatre of China
The acoustics of the Concert Hall and the Chinese Theatre in the Beijing National Grand Theatre of China I. Schmich a, C. Rougier b, P. Chervin c, Y. Xiang d, X. Zhu e, L. Guo-Qi f a Centre Scientifique
More informationSWITCHED INFINITY: SUPPORTING AN INFINITE HD LINEUP WITH SDV
SWITCHED INFINITY: SUPPORTING AN INFINITE HD LINEUP WITH SDV First Presented at the SCTE Cable-Tec Expo 2010 John Civiletto, Executive Director of Platform Architecture. Cox Communications Ludovic Milin,
More informationExpressive performance in music: Mapping acoustic cues onto facial expressions
International Symposium on Performance Science ISBN 978-94-90306-02-1 The Author 2011, Published by the AEC All rights reserved Expressive performance in music: Mapping acoustic cues onto facial expressions
More informationBusiness Intelligence & Process Modelling
Business Intelligence & Process Modelling Frank Takes Universiteit Leiden Lecture 7 Process Modelling & Petri nets BIPM Lecture 7 Process Modelling & Petri nets 1 / 56 Recap Business Intelligence: anything
More informationDetecting Medicaid Data Anomalies Using Data Mining Techniques Shenjun Zhu, Qiling Shi, Aran Canes, AdvanceMed Corporation, Nashville, TN
Paper SDA-04 Detecting Medicaid Data Anomalies Using Data Mining Techniques Shenjun Zhu, Qiling Shi, Aran Canes, AdvanceMed Corporation, Nashville, TN ABSTRACT The purpose of this study is to use statistical
More informationLOUDNESS EFFECT OF THE DIFFERENT TONES ON THE TIMBRE SUBJECTIVE PERCEPTION EXPERIMENT OF ERHU
The 21 st International Congress on Sound and Vibration 13-17 July, 2014, Beijing/China LOUDNESS EFFECT OF THE DIFFERENT TONES ON THE TIMBRE SUBJECTIVE PERCEPTION EXPERIMENT OF ERHU Siyu Zhu, Peifeng Ji,
More informationA New Reflection on the Innovative Content of Marxist Theory Based on the Background of Political Reform Juanhui Wei
7th International Conference on Social Network, Communication and Education (SNCE 2017) A New Reflection on the Innovative Content of Marxist Theory Based on the Background of Political Reform Juanhui
More informationAutomatic Piano Music Transcription
Automatic Piano Music Transcription Jianyu Fan Qiuhan Wang Xin Li Jianyu.Fan.Gr@dartmouth.edu Qiuhan.Wang.Gr@dartmouth.edu Xi.Li.Gr@dartmouth.edu 1. Introduction Writing down the score while listening
More information