Archive

Abstract:

Labor productivity is among the most critical factors that heavily impact the achievement of a construction projects. In construction sites, construction techniques, construction organization, human resource management, working conditions and worker personal characteristics have significant effects on the labor productivity. Formwork, among others, is a common task in every construction project. This paper presents the measurement of labor productivity by work sampling method for floor and beam formwork of high-rise buildings in Ho Chi Minh City, Vietnam. The research identifies the proportion of time consumption for effective tasks, supportive tasks, and ineffective tasks of formwork as follows: 32%, 35%, and 33% respectively. In other words, the change in the proportion of ineffective work over periods of time through a working day enables a conclusion that the labor productivity of floor and beam formwork workers begins low, then

Keywords:

Formwork,construction projects,labor productivity,work sampling,

Refference:

I.A. Serpell, A. Venturi, and J. Contreras, “Characterization of waste in building construction projects,” Lean construction, pp. 67-77, 1995.

II.C. Pradeepkumar and S. Loganathan, “A study on minimization of construction waste through work sampling,” International Journal of Science and Engineering Research, vol. 3, no. 4, pp. 5687-5691, 2015.

III.D.-L. Luong, D.-H. Tran, and P. T. Nguyen, “Optimizing multi-mode time-cost-quality trade-off of construction project using opposition multiple objective difference evolution,” International Journal of Construction Management, pp. 01-13, 2018.

IV.H. R. Thomas and I. Yiakoumis, “Factor model of construction productivity,” Journal of construction engineering and management, vol. 113, no. 4, pp. 623-639, 1987.

V.J. L. Jenkins and D. L. Orth, “Productivity improvement through work sampling,” Cost engineering, vol. 46, no. 3, p. 27, 2004.

VI.L. F. Alarcón, “Modeling waste and performance in construction,” Lean construction, pp. 51-66, 1997.

VII.M. Hajaghazadeh, H. Marvi-milan, H. Khalkhali, and I. Mohebbi, “Assessing the ergonomic exposure for construction workers during construction of residential buildings,” Work, no. Preprint, pp. 1-9, 2019.

VIII.N. T. Phong, V. N. Nguyen; L. H. Pham; T. A. Nguyen; Q. L. H. T. T. Nguyen; V. D. B. Huynh, “Application of supply chain management in construction industry,” Advances in Science and Technology Research Journal, journal article vol. 12, no. 2, 2018.

IX.P. F. Kaming, G. D. Holt, S. T. Kometa, and P. O. Olomolaiye, “Severity diagnosis of productivity problems—a reliability analysis,” International Journal of Project Management, vol. 16, no. 2, pp. 107-113, 1998.

X.P. T. Nguyenet al., “Construction Project Quality Management using Building Information Modeling 360 Field,” International Journal of Advanced Computer Science and Applications, vol. 9, no. 10, pp. 228-233, 2018.

XI.P. T. Nguyen, N. B. Vu, L. V. Nguyen, L. P. Le, and K. D. Vo, “The Application of Fuzzy Analytic Hierarchy Process (F-AHP) in Engineering Project Management,” in 2018 IEEE 5th International Conference on Engineering Technologies and Applied Sciences (ICETAS), 2018.

XII.P. T. Nguyen, T. A. Nguyen, Q. L. H. T. T. Nguyen, and V. D. B. Huynh, “Application of SWOT for construction company quality management using building information modelling,” Journal of Mechanics of Continua and Mathematical Sciences, vol. 13, no. 05, pp. 25-33, 2018.

XIII.S. Chang, J.-S. Yi, and J. Son, “The productivity improvement for steel framing work efficiency by work sampling and 5-minute rating technique,” Journal of Construction Engineering and Project Management, vol. 5, no. 1, pp. 40-46, 2015.

XIV.S. Hajikazemi, B. Andersen, and J. A. Langlo, “Analyzing electrical installation labor productivity through work sampling,” International Journal of Productivity and Performance Management, vol. 66, no. 4, pp. 539-553, 2017.

XV.T. A. Nguyen and P. T.Nguyen, “Explaining model for supervisor’s behavior on safety action based on their perceptions,” ARPN Journal of Engineering and Applied Sciences, Article vol. 10, no. 20, pp. 9562-9572, 2015.

XVI.V. Handa and O. Abdalla, “Forecasting productivity by work sampling,” Construction Management and Economics, vol. 7, no. 1, pp. 19-28, 1989.

XVII.W. Yi and A. P. Chan, “Effects of heat stress on construction labor productivity in Hong Kong: a case study of rebar workers,” International journal of environmental research and public health, vol. 14, no. 9, p. 1055, 2017.

XVIII.W. Yi and A. P. Chan, “Optimizing work–rest schedule for construction rebar workers in hot and humid environment,” Building and Environment, vol. 61, pp. 104-113, 2013.

XIX.X. Li, K. H. Chow, Y. Zhu, and Y. Lin, “Evaluating the impacts of high-temperature outdoor working environments on construction labor productivity in China: A case study of rebar workers,” Building and environment, vol. 95, pp. 42-52, 2016.

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Abstract:

In the present paper we have studied the applicability of Initial rise (IR) and Peak shape(PS) methods for calculation of activation energy for saturated and unsaturated thermoluminescence peaks in the frame work of OTOR and IMTS models. This peaks correspond to hyperbolic heating profile. It is shown as in the linear heating scheme that both IR and PS methods tend to underestimate the activation energies for TL peaks resulting from OTOR and IMTS models with increasing filling ratio.

Keywords:

Thermoluminescence (TL),One Trap One Recombination (OTOR),Interactive Multi Trap System (IMTS),Initial Rise(IR) method,Peak Shape (PS),

Refference:

I.A. J. J. Bos, R. N. M. Vijverberge, T. M. Piters and S.W. S. McKeever, J. phys. D. 25(1992)

II.B. Ghosh, SK. Azharuddin and S. Ghosh, Indian J. Theoretical Phys, 63(2015)

III.G. F. J. Garlik and A. F. Gibson, Proc. Phys. Soc., London A60, 574, (1948)

IV.G. Kitis and V. Pagonis, Nucl. Instrum. Methods Phys. Res., B26(2007)

V.R. Chen and S. W. S. McKeever , Thermoluminescence and related phenomena, World Scintific, Singapore (1997)

VI.R. Chen and V. Pagonis, Thermally and optically stimulated luminescence, A simulation approach’ Wiley(2011)

VI.S. D. Singh, M. Karmakar, I. Bhattachryya, P. S. Majumdar, International J. Luminescence and Applications, 3(2016)

VII.SK. Azharuddin, S. D. Singh, P. S. Majumdar, J. Mech. Cont. and Math. Sci.,12(2)(2018)

IX.SK. Azharuddin, B. Ghosh, S. Ghosh and P. S. Majumdar, J. Mech. Cont. and Math. Sci., 13 (2018)

X.V. Pagonis, G. Kitis and C. Furetta, Numerical and practical exercise in thermoluminescence, Springer(2010)

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Abstract:

This study presents a U shape wideband antenna for small wireless applications. With half ground plane the patch antenna is slotted into U shape which resulted a wide bandwidth response with gain ranging from 4.1dB to 2.5dB. A patch antenna was constructed and was introduced with slots and was modified into monopole with half ground plane. The antenna has been simulated into CST 2015. The U shaped antenna with different parameter results showed its efficient structure. The proposed antenna can be used for GSM, WiMax and other small wireless applications.

Keywords:

Gain, Directivity,U shaped,partial ground plane,efficiency,

Refference:

I.Balanis, Constantine A. “Antenna theory: A review.” Proceedings of theIEEE 80.1 (1992): 7-23

II.Kuo, Yen-Liang, and Kin-Lu Wong. “Printed double-T monopoleantenna for 2.4/5.2 GHz dual-band WLAN operations.” IEEEtransactions on antennas and propagation 51.9 (2003): 2187-2192.

III.Liang, J., Chiau, C. C., Chen, X., & Parini, C. G. (2005). Study of a printed circular disc monopole antenna for UWB systems. IEEE transactions on antennas andpropagation, 53(11), 3500-3504.

IV.Saad Hassan Kiani, Khalid Mahmood and Ahsan Altaf, “A Linear Arrayfor Short Range Radio Location and Application Systems” InternationalJournal of Advanced Computer Science and Applications(IJACSA),9(4), 2018. http://dx.doi.org/10.14569/IJACSA.2018.090420

V.Saad Hassan Kiani, Khalid Mahmood, Ahsan Altaf and Alex J. Cole,“Mutual Coupling Reduction of MIMO Antenna for Satellite Servicesand Radio Altimeter Applications” International Journal of AdvancedComputer Science and Applications(IJACSA), 9(4), 2018.http://dx.doi.org/10.14569/IJACSA.2018.090405

VI.SONG, Z. H., QIU, J. H., ZHANG, S. H., LIU, Z. H., & YANG, C. T.(2003). Study of A Planar Equiangular Spiral Antenna and the RelevantWideband Balun [J]. Guidance and Fuze, 2, 009

VII.YANG, Xiao-dong, Peng CHEN, and Hao TONG. “A broadbandstacked microstrip antenna with half U-slot coupling [J].” Journal ofHarbin Engineering University 3 (2008): 020.

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Abstract:

A huge quantity of waste material are produced i-e marble powder, shredded rubber, fly ash, stone dust, lime stone dust etc. from different sources. Modification of asphalt with such type of additives not only proved as cost effective and environmental friendly but can also improve asphalt properties. As asphalt is one the most expensive material used in the construction of flexible pavement and modification of asphalt with additives can make the pavement construction more economical. In this research an effort is made for the utilization of some waste materials such as fly ash and shredded rubber as an additive to improve the properties of asphalt i.e. ductility, penetration grade, flash and fire point of asphalt and marshal stability of asphalt mix. The asphalt was partially replaced with fly ash and shredded rubber in different percentages i.e. 0% (control) 3%, 5% and 7% by weight to bitumen. Total 90 specimen were prepared and were taken into laboratory for further investigation. The results showed that addition of 0% (control), 3%, 5% and 7% fly ash had no effect on flash and fire point of bitumen otherwise the addition of 3%, 5% and 7% of shredded rubber increased the flash point of bitumen from 191cº to 195cº, 200cº and 204cº and fire point from 198cº to 206cº, 208cº and 212cº respectively. The penetration test result showed that addition of fly ash and Shredded rubber up to 7 % decreases the value grade but the overall grade of the bitumen remained same, which was 60/70. Moreover the ductility value decreases with increase in percentage of fly ash and shredded rubber. Marshall Stability value of asphalt mix also increased with increase in percentage of fly ash and shredded rubber.

Keywords:

Shredded Rubbe,Fly ash, Ductility test,Flash and Fire point of bitumen,Marshall Stability test,

Refference:

I.Churchill, E.V. and Amirkhanian, S.N., 1999. Coal ash utilization in asphalt concrete mixtures. Journal of Materials in Civil Engineering, 11(4), pp.295-301.

II.Liu, S., Cao, W., Fang, J. and Shang, S., 2009. Variance analysis and performance evaluation of different crumb rubber modified (CRM) asphalt. Construction and Building Materials, 23(7), pp.2701-2708.

III.Mistry, R. and Roy, T.K., 2016. Effect of using fly ash as alternative filler in hot mix asphalt. Perspectives in Science, 8, pp.307-309.

IV.Navarro, F.J., Partal, P., Martınez-Boza, F., Valencia, C. and Gallegos, C., 2002. Rheological characteristics of ground tire rubber-modified bitumens. Chemical Engineering Journal, 89(1), pp.53-61.

V.Oliver, J.W., 2000. Rutting and fatigue properties of crumbed rubber hot mix asphalts. Road Materials and Pavement Design, 1(2).

VI.Tons, E., Goetz, R.O. and Razi, M., 1983. Fly ash as asphalt reducer in bituminous base courses. University of Michigan, College of Engineering, Department of Civil Engineering.

VII.Wulandari, P. S., & Tjandra, D. (2017). Use of crumb rubber as an additive in asphalt concrete mixture (Doctoral dissertation, Petra Christian University).

VIII.Xiao, F., Amirkhanian, S.N., Shen, J. and Putman, B., 2009. Influences of crumb rubber size and type on reclaimed asphalt pavement (RAP) mixtures. Construction and Building Materials, 23(2), pp.1028-1034.

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Abstract:

Building information modelling (BIM)Building information modelling (BIM) is a new way of approaching the design and documentation of building projects. The objective of BIM is not only to model and manage graphics, but also information – information that allows the automatic generation of drawings and reports, design analysis, schedule simulation, facilities management, and more – ultimately enabling the building team to make better-informed decisions. This thesis documents the modelling of a real life structure (Qayyum Stadium) as well as implies interoperability checks between BIM tool and SAP2000 analysis software. The Pavilion of Qayyum Stadium is located in Saddar, Peshawar. The data like plans of the structure was acquired. The structure was modeled in BIM tool, Tekla Structures v20. The structure was then exported to SAP2000 for analysis. In SAP2000 Gap analysis was performed to determine the structural elements which were not translated by SAP2000 like curved slab, column beam joints. The component catalog option is an important asset in BIM tool, Tekla Structure, making it easy to counter various flaws during the reinforcement placing. The reinforcement detailing of the structure are done using Tekla Structures, Drawings are generated, quantity take offs are done, Clash Detection tool was applied, which is one of the important tool in Tekla Structure (BIM). Nowadays the Architecture, Engineering, Construction (AEC) sector has the intentions to deliver a product through formal procedures, which will not depend on design process. With the development in technology, many sectors(production and business) other than construction industry of production and business (outside of construction) are being modified and refurnished, due to which the construction industry lays behind. Presently construction process is same as it previously hundred years before, from the set of drawings. Mostly these drawings have errors and limitations which ultimately results in delays, increase in project cost and delay in project completion. These limitations and errors can be improved through Building Information Modelling tool.

Keywords:

Building information modelling (BIM),design analysis,(AEC) sector,SAP2000 analysis software,Tekla Structure,

Refference:

I.Aranda-Mena, G., Crawford, J., Chevez, A., &Froese, T. (2009). “Building information modelling demystified: does it make business sense to adopt BIM?”.International Journal of Managing Projects in Business, 2(3), 419-434.

II.Arayici, Y., Khosrowshahi, F., Ponting, A. M., &Mihindu, S. (2009). “Towards implementation of building information modelling in the construction industry”.

III.Azhar, S., Hein, M., and Sketo, B. (2008). “Building Information Modelling(BIM): Benefits, Risks and Challenges”. Proceedings of the 44th ASC Annual Conference (on CD ROM), Auburn, Alabama, April 2-5, 2008.

IV.Bernstein, P.G., and Pittman, J.H. (2005). “Barriers to the Adoption of Building information Modellingin the Building Industry”. Autodesk Building Solutions Whitepaper, Autodesk Inc., CA.

V.Building Information Modelling(BIM): A new paradigm for quality of life within Architectural, Engineering and Construction (AEC) industry By RoshanaTakim* Mohd Harris, Abdul Hade Nawawi.URL www.sciencedirect.com

VI.Ding, L., Drogemuller, R., Akhurst, P., Hough, R., Bull, S. and Linning, C. (2009). “Towards sustainable facilities management”. In P. Newton, K. Hampson, & R. Drogmuller, Thechnology, Design and Process Innovation in the Built Environment. pp. 373-392. Taylor & Francis.

VII.Eastman, C., Teicholz, P., Sacks, R. and Liston,K. (2011). BIM Handbook, a Guide to Building Information Modelling2nd Ed. Hoboken: John Wiley & Sons, Inc.

VIII.Fischer, M., Kunz, J. (November 12, 2006). “The Scope and Role of Information Technology in Construction” [WWW document]. URL http://cife.stanford.edu/online.publications/TR156.

IX.Integration of Agents in the Construction of a Single-Family House through use of BIM TechnologyFaustino PatiñoCambeiro*, ItziarGoicoecheaCastaño, MaríaFenolleraBolíbar, Javier Rodríguez. URL www.sciencedirect.com

X.Is BIM Adoption Advantageous for Construction Industry of Pakistan? By Masood,R.a*Kharal, M.K.N.bNasir, A.R.c URL www.sciencedirect.com

XI.Tekla Structures Official website. URL http://tekla.com/international/Pages/Default.aspx

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Abstract:

Current trends in software development have shown a strong move towards autonomous and rational mechanism for the human societal growth. Customer behavior analysis and its knowledge have always been given its due importance in research community to develop real life practical solutions. In this scenario a real-world phenomenon of customer buying habits is tested through observations lying in the database and is experimented and validated through association mining. On the flip side of the coin, the development of intellectual and evolutionary data mining tool for retail industries through the machine learning algorithm has always been proved to adequately respond to environment changes and improve its behavioral rules to derive intelligent quotient. A case study of Market basket analysis is simulated to imitate customer behavior in the dynamic environment to predict about rational and intelligent behavior for future business expansion.

Keywords:

Customer behavior analysis, Data mining, Intellectual Management,Neural Networks,Genetic algorithm,Retail industry,

Refference:

I.Ahmed, S.R.,”Applications of data mining in retail business”, Information Technology: Coding andComputing,vol. 2, 2004, pp.455-459.

II.AmandeepKaur, P.S.Grover, “Performance Efficiency Assessment for Software Systems” a chapter in “Advances in Intelligent Systems and Computing”book series, AISC, Volume 731, June 2018.

III.Ansari Azarnoush and Riasi Arash, “Customer Clustering Using a Combination of Fuzzy C-Means and Genetic Algorithms”, International Journal of Business and Management; vol. 11, Canadian Center of Science and Education, June 2016, ISSN 1833-3850.

IV.Ismail, J., “The design of an e-Learning System: Beyond the hype”, Internet and Higher Education, vol. 4, 2002.

V.Ngai, E.W.T, Xiu, Li and Chau, D.C.K.,“Application of data mining techniques in customer relationship management: A literature review and classification”, Expert systems with applications, vol. 36,March 2009, pp. 2592-2602.

VI.Pillai Jyothi, “User centric approach to itemset utility mining in Market Basket Analysis”, International Journal on Computer Science and Engineering, Jan 2011.

VII.Sandhu Parvinder, Dalvinder S. and Panda S. N ,“Mining utility-oriented association rules: An efficient approach based on profit and quantity”, International Journal of the Physical Sciences,vol. 6, pp. 301-307, Jan 2011.

VIII.Vijaylakshmi S., Mohan V., Suresh Raja S., “Mining of users’ access behavior for frequent sequential pattern from web logs”, International Journal of Database Management System (IJDM), vol. 2, August 2010.

IX.Woo,J.Y.,Bae,S.M., andPark, S.C., “Visualization method for customer targeting using customer map”, Expert Systems with Applications,vol.28, 2005, pp.763-772.

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Abstract:

A standout amongst the most well-known kinds of vitality source utilized in residential is propane in which condensed gas contains. Despite the fact that the wellbeing issues are considered, spillage of gas has turned out to be basic mishap which can make harm human lives and property. This Paper displays a minimal effort, control effective brought together Gas Leakage Alerting System. The framework has two principle gadgets: the gas identifier and the alert unit. The gas finder that is found near the gas utilization point gas chamber is a battery worked gadget. There can be more than one locator in the frameworks, which can be independently distinguished in the framework. The caution unit distinguishes the alarms sent by the indicators and discharges the alert. And furthermore it sends messages to indicated people. The segments of the gadget have been picked thinking about the power utilization and the time interims have been determined concerning the present utilization.

Keywords:

Vitality Source,Alerting System,Control Utilization,Current Utilizati,

Refference:

I.Attia, Hussain A., and Halah Y. Ali. “Electronic Design of Liquefied Petroleum Gas Leakage Monitoring, Alarm, and Protection System Based on Discrete Components.” International Journal of Applied Engineering Research, vol. 11, no. 19, pp. 9721-9726, 2016.

II.Apeh, S. T., K.B. Erameh, and U. Iruansi. “Design and Development of Kitchen Gas Leakage Detection and Automatic Gas Shut off System.” Journal of Emerging Trends in Engineering and Applied Sciences, vol. 5, no. 3, pp. 222-228, 2014.

III.Ashish Shrivastava, Ratnesh Prabhaker, Rajeev Kumar, Rahul Verma, “GSM based gas leakage detection system.” International Journal of Emerging Trends in Electrical and Electronics, vol. 3, no. 2, pp. 42-45, 2013.

IV.B. Jolhe, P. Potdukhe and N. Gawai, “Automatic LPG Booking, Leakage Detection and Real Time Gas Measurement Monitoring System,” International Journal of Engineering Research & Technology (IJERT), vol. 2, no. 4, pp. 1192 -1195, 2013.

V.B. Didpaye and S. Nanda, “Automated Unified System for LPG using Microcontroller and GSM Module,” International Journal of Advanced Research in Computer and Communication Engineering, vol. 5, no. 2, pp. 234 -237, February 2016..

VI .“Converting Occupational Exposure Limits from mg/m3 to ppm”, Canadian Centre for Occupational Health & Safety, 2009.

VII.“Flammable Gas Cylinders for Laboratory Use”,Various Small Gas Torches, 2003.

VIII.“Gascylinders inlabs” Aylward & Findlay,1988.

IX .Q.Instrument Services Limited, “An introduction to Gas Detection Oliver”,IGD, Q. Instrument Services Limited, Cork, 2006.

X.K. B. Vinoth, S. Kalaiyarasan, B. A. R. Denesu and T. Kanthavel, “Quadcopter Based Gas Detection System,” IOSR Journal of Electronics and Communication Engineering (IOSR-JECE), vol. 11, no. 1, pp. 64 -68, 2016.

XI .Mahalingam, A., R. T. Naayagi, and N. E. Mastorakis. “Design and implementation of an economic gas leakage detector.” Recent Researches in Applications of Electrical and Computer Engineering, pp. 20-24, 2012

XII .P.Meenakshi Vidya, S.Abinaya, G.Geetha Rajeswari, N.Guna,”Automatic LPG detection and hazard controlling “.

XIII ,S. Ashish, P. Ratnesh, K. Rajeev and V. Rahul, “GSM Based Gas Leakage Detection System,” International Journal of Technical Research and Applications (IJTRA), vol. 1, no. 2, pp. 42 -45, 2013.

XIV.T. Soundarya and J. Anchitaalagammai, “Control and Monitoring Sytem for Liquefied Petroleum Gas (LPG) Detection andPrevention,” International Journal of Innovative Research in Science, Engineering and Technology (IJIRSET), vol. 3, no. 3, pp. 696 -700, 2014.

XV.“What is Gas Leak Detection Gas Monitors UK Europe”, 2012.

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Abstract:

In multimedia community, cross modal similarity search based hashing received extensive attention because of the effectiveness and efficiency of query. This research work contributes large scale dataset for weakly managed cross-media recovery, named Twitter100k. Current datasets namely Wikipedia, NUS Wide and Flickr30k, have two main restrictions. First, these datasets are deficient in content diversity, i.e., only some pre-characterized classes are secured. Second, texts in these datasets are written informal dialect, that leads to irregularity with practical applications. To overcome these disadvantages, the proposed method used Twitter100k dataset because of two major points, first, it has 100,000 content-image pairs that are randomly crawled from Twitter and it has no importance in the image classifications. Second, text in Twitter100k is written in informal language by the clients. Since strongly supervised strategies use the class labels that might be missing in practice, this paper mainly concentrates on weakly managed learning for cross-media recovery, in which only text-image sets misused during training. This paper proposed a Random Multimodal Deep Learning (RMDL) based Recurrent Neural Network (RNN) for cross-media retrieval. The variety of input data such as video, text, images etc. are used for cross-media recovery which can be accept by proposed RMDL in weakly dataset. In RMDL, the various input data can be classified by using RNN architecture. to improve the accuracy and robustness of the proposed method, RMDL uses the specific RNN structure i.e. Long Short-Term Memory (LSTM). In the experimental analysis, the results demonstrated that the proposed RMDL-based strategy achieved 78% of Cumulative Match Characteristic (CMC) compared to other datasets.

Keywords:

Cross modal similarity search,witter dataset,class labels,strong supervised methods, NUS Wide,Random Multimodal Deep Learning,

Refference:

I.Ahmad, Khaleel, Monika Sahu, Madhup Shrivastava, Murtaza Abbas Rizvi, and Vishal Jain., “An efficient image retrieval tool: query based image management system,” International Journal of Information Technology, pp. 1-9, 2018.

II.Ballan Lamberto, Tiberio Uricchio, Lorenzo Seidenari, and Alberto Del Bimbo,“A cross-media model for automatic image annotation”, In Proceedings of International Conference on Multimedia Retrieval, pp. 73, 2014.

III.Ding Guiguang, Yuchen Guo, and Jile Zhou,“Collective matrix factorizationhashing for multimodal data,” Proceedings of the IEEE conference on computer vision and pattern recognition, 2014.

IV.Deng Cheng, Xu Tang, Junchi Yan, Wei Liu, and Xinbo Gao, “Discriminative dictionary learning with common label alignment for cross-modal retrieval,” IEEE Transactions on Multimedia, vol. 18, 2, pp. 208-218, 2016.

V.Ding, Kun, Bin Fan, Chunlei Huo, Shiming Xiang, and Chunhong Pan, “Cross-modal hashing via rank-order preserving,” IEEE Transactions on Multimedia, vol. 19, no. 3, pp. 571-585, 2017.

VI.Hauptmann, A. G., Yi Yang, and L. Zheng,“Person Re-identification: Past, Present and Future,” 2016.

VII.Hwang Sung Ju, and Kristen Grauman,“Reading between the lines: Object localization using implicit cues from image tags,” IEEE transactions on pattern analysis and machine intelligence vol. 34, no.6,pp. 1145-1158, 2012.

VIII.Jiang Bin, Jiachen Yang, Zhihan Lv, Kun Tian, Qinggang Meng, and Yan Yan, “Internet cross-media retrieval based on deep learning”, Journal of Visual Communication and Image Representation, vol.48, pp. 356-366, 2017.

IX.Kang Cuicui, Shiming Xiang, Shengcai Liao, Changsheng Xu, and Chunhong Pan, “Learning consistent feature representation for cross-modal multimedia retrieval,” IEEE Transactions on Multimedia, vol. 17, no. 3, pp. 370-381, 2015.

X.L. Malliga, and K. Bommanna Raja, “A Novel Content Based Medical Image Retrieval Technique with Aid of Modified Fuzzy C-Means Clustering (CBMIR-MFCM),” Journal of Medical Imaging and Health Informatics vol. 6, no. 3, pp. 700-709, 2016

XI.Pennington Jeffrey, Richard Socher, and Christopher Manning,“Glove: Global vectors for word representation,” Proceedings of the 2014 conference on empirical methods in natural language processing (EMNLP), 2014.

XII.Pascanu Razvan, Tomas Mikolov, and Yoshua Bengio,“On the difficulty oftraining recurrent neural networks,” International Conference on Machine Learning. 2013.

XIII.Rasiwasia Nikhil, Jose Costa Pereira, Emanuele Coviello, Gabriel Doyle, Gert RG Lanckriet, Roger Levy, and Nuno Vasconcelos,“A new approach to cross-modal multimedia retrieval,” In Proceedings of the 18th ACM international conference on Multimedia, pp. 251-260, ACM.

XIV.Rehman Sadaqat Ur, Shanshan Tu, Yongfeng Huang, and Obaid Ur Rehman, “A Benchmark Dataset and Learning High-Level Semantic Embeddings of Multimedia for Cross-Media Retrieval,” IEEE Access, vol. 6, pp. 67176-67188, 2018.

XV.SharmaAbhishek, Abhishek Kumar, Hal Daume, and David W. Jacobs,“Generalized multiview analysis: A discriminative latent space”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2160-2167, 2012.

XVI.Shen Fumin, Chunhua Shen, Qinfeng Shi, Anton Van Den Hengel, and Zhenmin Tang,“Inductive hashing on manifolds,” In Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 1562-1569, 2013.

XVII.Song Jingkuan, Yi Yang, Zi Huang, Heng Tao Shen, and Jiebo Luo,“Effective multiple feature hashing for large-scale near-duplicate video retrieval,” IEEE Transactions on Multimedia, vol. 15, no. 8, pp. 1997-2008, 2013.

XVIII.Song Jingkuan, Yang Yang, Yi Yang, Zi Huang, and Heng Tao Shen, “Inter-media hashing for large-scale retrieval from heterogeneous data sources,” In Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data, pp. 785-796, 2015.

XIX.Wu Fei, Zhou Yu, Yi Yang, Siliang Tang, Yin Zhang, and Yueting Zhuang,“Sparse Multi-Modal Hashing,” IEEE Trans. Multimedia, vol. 16, no. 2, pp. 427-439, 2014.

XX.Xu Xing, Yang Yang, Atsushi Shimada, Rin-ichiro Taniguchi, and Li He,“Semi-supervised coupled dictionary learning for cross-modal retrieval in internet images and texts”, In Proceedings of the 23rd ACM international conference on Multimedia, pp. 847-850, 2015.

XXI.Yang Yi, Feiping Nie, Dong Xu, Jiebo Luo, Yueting Zhuang, and Yunhe Pan,“A multimedia retrieval framework based on semi-supervised ranking and relevance feedback,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 34, no. 4, pp. 723-742, 2012.

XXII.Yang Yang, Zheng-Jun Zha, Yue Gao, Xiaofeng Zhu, and Tat-Seng Chua, “Exploiting web images for semantic video indexing via robust sample-specific loss,” IEEE Transactions on Multimedia, vol. 16, no. 6, pp. 1677-1689, 2014.

XXIII.Yang Yang, Hanwang Zhang, Mingxing Zhang, Fumin Shen, and Xuelong Li,“Visual coding in a semantic hierarchy,” In Proceedings of the 23rd ACM international conference on Multimedia pp. 59-68, 2015.

XXIV.Zhang Hong, Yun Liu, and Zhigang Ma “Fusing inherent and external knowledge with nonlinear learning for cross-media retrieval”, Neurocomputing, vol.119, pp.10-16, 2013.

XXV.Zha Zheng-Jun, Meng Wang, Yan-Tao Zheng, Yi Yang, Richang Hong, and Tat-Seng Chua,“Interactive video indexing with statistical active learning,” IEEE Transactions on Multimedia, vol. 14, no. 1, pp. 17-27, 2014.

XXVI.Zheng Liang, Zhi Bie, Yifan Sun, Jingdong Wang, Chi Su, Shengjin Wang, and Qi Tian,“Mars: A video benchmark for large-scale person re-identification.”In European Conference on Computer Vision, pp. 868-884, Springer, 2016.

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Abstract:

In a lot of papers the main focus is given to study finite difference schemes for one dimensional hyperbolic equation. Since this idea is valid for one dimensional hyperbolic equation, one can also consider finite difference schemes for two dimensional hyperbolic equations. It is convenient to apply Fourier transform to check stability analysis. The present paper studies stability analysis of finite difference schemes for two dimensional hyperbolic equations with constant coefficients [IV].

Keywords:

Hyperbolic equation,fourier transform,difference schemes, stability analysis ,

Refference:

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Abstract:

This study investigates the dynamic response | E*|, rutting susceptibility and fatigue resistance of the virgin HMA and HMA blended with RAP and further RAP with hydrated lime mixtures. Optimum binder contents were obtained using Marshal Mix design method and the samples for performance testing were prepared. The Superpave Gyratory Compactor (SGC) was used. The samples were then cored and trimmed to the specified dimensions. Using Asphalt mixture performance tester (AMPT), test was conducted at four different temperatures (4. 4, 21. 1, 37. 7 and 54. 4) and six different frequencies (0.1, 0.5,1,5,10 and 25). And flow tests were conducted at only one temperature of 54.4 C. The viscous properties of the mixture and the dynamic response indicators were brought into account to obtain the fatigue parameters to evaluate the fatigue resistance and from flow tests the rutting susceptibility was evaluated and the results showed that RAP and lime has weak resistance to fatigue but are less susceptible to permanent deformation. Master curves for all the mixtures were developed. HMA blended with RAP are very cost effective and environmentally friendly. The flow number results revealed that the virgin HMA accumulated more strains at less loading cycles as compared to the other mixes.

Keywords:

Dynamic Modulus,Superpave,Flow numbe, RAP, Lime, HMA,

Refference:

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