Most construction companies operating in the global construction industry would undertake international projects to maximize their profitability through benefitting from the new attractive markets and reducing the dependence upon local markets. As a result of the nature of construction works the company and project’s conditions actually include massive risks and uncertainty. So the risk sensitivity of projects costs should be assessed in a realistic manner. The comprehensive risk assessment method was introduced as a decision making supporting tool to be employed for international constructive projects through applying a risk model that will aid the procedures of evaluating risks and prioritizing such projects and assessing risk contingency value. Both the Analytic Hierarchy Process (AHP), applied for evaluating risk factors weight (likelihood), and FUZZY LOGIC approach, applied for evaluating risk factors influence (Risk consequences) employing software aids such as EXECL and MATLAB software, were used for developing the risk model. The reliability of the developed software has been verified by applications on a real construction projects. The proposed methodology and decision support tool have been proved to be reliable for the estimation of cost overrun resulting from risk on basis of actual final reports of projects. Six actual case studies from different countries were chosen to determine the highest risk factors and to implement the designed models, test their results and evaluate risk cost impact. The proposed models result showed that: the highest and lowest risk contingency percentage of 48 % and 16 % were in Project no (5), (6) respectively in Egypt. On the other hand, the projects no (1, 2, 4,7) in Saudi Arabia, UAE, Libya and Jordan, the risk contingency of 29%, 39%, 20% and 28% respectively. The actual results are close to those of the proposed program.
- Page(s): 01-18
- Date of Publication: 10 June 2017
- Hesham Abd El KhalekProfessor of Construction Engineering and Management, Faculty of Engineering, Alexandria University, Egypt
- Remon F. AzizAssociate Professor of Construction Engineering and Management, Faculty of Engineering, Alexandria University, Egypt
- Hamada KamelPhD Candidate, Faculty of Engineering, Alexandria University, Egypt
 Abdel Khalek H., Aziz R. and Kamel H., (2016). "Risk and Uncertainty Assessment Model in Construction Projects Using Fuzzy Logic”. 1st International Conference on Sustainable Construction and Project Management- ICSCPM16.Cairo. Egypt.  Abdel Khalek H., Aziz R. and Kamel H., (2016). “Uncertainty and Risk Factors Assessment for Cross-Country Pipelines Projects Using AHP”. 1st International Conference on Sustainable Construction and Project Management- ICSCPM16.Cairo. Egypt.  Abdel Khalek H., Aziz R. and Kamel H., (2016). "Risk and Uncertainty Assessment Model in Construction Projects Using Fuzzy Logic”. American Journal of Civil Engineering, Vol. 4, No. 1, 2016, pp. 24-39. doi: 10.11648/j.ajce.20160401.13. Published online February 29, 2016 (https://www.sciencepublishinggroup.com/j/ajce), ISSN: 2330-8729 (Print) ; ISSN: 2330-8737 (Online)  Abdel Khalek H., Aziz R. and Kamel H., (2016). “Uncertainty and Risk Factors Assessment for Cross-Country Pipelines Projects Using AHP”. American Journal of Civil Engineering, Vol. 4, No. 1, 2016, pp. 12-23. doi: 10.11648/j.ajce.20160401.12. Published online February 23, 2016 (https://www.sciencepublishinggroup.com/j/ajce). ISSN: 2330-8729 (Print); ISSN: 2330-8737 (Online).  Antonio J., Monroy A., Gema S. and Angel L., (2011). “Financial Risks in Construction Projects”. African Journal of Business Management Vol. 5(31), Pp. 12325-12328, 7 December, 2011.  Carreño M. L., Cardona O. D. and Barbat, A. H. (2004). “Evaluation of the Risk Management Performance”. 250th Anniversary of The 1755 Lisbon Earthquake, 1technical University of Catalonia, Barcelona, Spain.  Deng X. And Low. (2012). “Understanding The Critical Variables Affecting the Level of Political Risks in International Construction Projects”. KSCE Journal of Civil Engineering (2013) 17(5): 895-907.  Dias A, and Ioannou P. (1996). “Company and Project Evaluation Model for Privately Promoted Infrastructure Projects. Journal of Construction Engineering and Management, ASCE 1996; 122(1): 71–82. March.  Dikmen I, Birgonul T and Han S. (2007). “Using Fuzzy Risk Assessment to Rate Cost Overrun Risk in International Construction Projects”. International Journal of Project Management 25 (2007) 494–505.  Enrique J., Ricardo C., Vicent E. and Jerónimo A., (2011), Analytical Hierarchical Process (AHP) As A Decision Support Tool In Water Resources Management, Journal Of Water Supply: Research And Technology—Aqua (60.6 ) 2011.  Garshasb A., Mostafa A. and Abas A., (2012). “Fuzzy Adaptive Decision Making Model for Selection Balanced Risk Allocation”. International Journal of Project Management 30 (2012) 511–522.  Hyun- C., Hyo- C. And. Seo j., (2004). “Risk Assessment Methodology for Underground Construction Projects”, ASCE Journal of Construction Engineering and Management, 130, 258-272.  Jessica M., (2014), “Pearson Correlation Coefficient: Formula, Example & Significance”. Https://Education- Portal.Com/Academy /Lesson/Pearson-Correlation-Coefficient-Formula-Example-Significance.Html#Lesson.  John G. and Edward G. (2003). “International Project Risk Assessment: Methods, Procedures, and Critical Factors”. A Report Of The Center Construction Industry Studies The University Of Texas At Austin.  Liu Jun A, Wang Qiuzhen B, Ma Qingguo B. (2011). The Effects of Project Uncertainty and Risk Management on IS Development Project Performance”. A Vendor Perspective International Journal of Project Management 29 (2011) 923–933.  Lotfi A. Zadeh. (2002). “Fuzzy Logic Toolbox for Use with MATLAB, User’s Guide”.  Ludovic V, Marle F, Bocquet J, C. (2011). “Measuring Project Complexity Using the Analytic Hierarchy Process”. International Journal of Project Management 29 (2011) 718–727.  Mag Malek. (2000). “An Application of Fuzzy Modeling in Construction Engineering”. International Proceedings of the 36th Annual Conference of the Associated Schools of Construction (ASC), 287-300.  Ming W., And Hui Ch. (2003). “Risk Allocation and Risk Handling of Highway Projects In Taiwan”. Journal of Management in Engineering, Asce / April 2003.  Prasanta D. (2002). “An Integrated Assessment Model For Cross Country Pipelines”. Environmental Impact Assessment Review, 22, (2002) 703–721.  Pearson Correlation Coefficient Calculator. (2014), Http://Www. Socscistatistics. Com/Tests /Pearson /Default2.Aspx.  Pearson's Correlation Coefficient, Data Analysis, 2014, Http:// Learntech.Uwe.Ac.Uk/Da/ Default. Aspx? Pageid=1442.  Prasanta D.(2010). “Managing Project Risk Using Combined Analytic Hierarchy Process and Risk Map”. Applied Soft Computing 10 (2010) 990–1000.  Saaty TL. The Analytic Hierarchy Process. 1980. New York: Mc graw- Hill, 1980.  Saaty TL. Decision Making For Leaders. Belmont, California: Life Time Leaning Publications, 1985.  Saaty TL. (1990). “How to Make a Decision: The Analytic Hierarchy Process”. European Journal of Operational Research, North-Holland 1990; 48: 9±26.  Saaty TL, Kearns KP. (1991). “Analytical Planning: The Organization of Systems”. The Analytic Hierarchy Process Series 1991; Vol. 4RWS.  Salman A. (2003). “Study Of Applying Build Operate And Transfer Bot Contractual System On Infrastructure Projects In Egypt”. PHD Thesis, Zagazig University, Faculty of Eng.  Sou L., An C., And Chung Y. (2001). “A GA_ based Fuzzy Optimal Model For Construction Time-Cost Trade Off”. International Journal of Project Management, 19(1), 47-58.  Wang, N., Horner and M. El-Haram. (2004). “Fuzzy Logic Approach To A Generic Elemental Whole Life Costing Model”, Twentieth Annual Conference Of Association Of Researchers In Construction Management, Vol. 1, 383-391, Edinburgh.  Zayed T, Mohamed A, Jiayin P. (2008). "Assessing Risk And Uncertainty Inherent In Chinese Highway Projects Using AHP “Internal Journal Of Project Management” 26 (2008) 408–419.  Bu-Qammaz, A. S. (2007), “risk assessment of international construction projects using the analytic network process”, master of science thesis, Middle East technical university.  Cooper D, Grey S, Raymond G and Walker P, 2007, “Project Risk Management Guidelines: Managing Risk in Large Projects and Complex Procurements”, John Wiley & Sons, Ltd, ISBN 0-470-02281-7.  Zayed, T, and Chang, L. (2002). "Prototype Model for Build-Operate-Transfer Risk Assessment. Journal of Management in Engineering / January 2002 / 7.  Xiaoping D., And Pheng L., (2012). “Understanding the Critical Variables Affecting the Level of Political Risks in International Construction Projects”. KSCE Journal of Civil Engineering (2013) 17(5):895-907.  Mohamed A. and Aminah F., (2010). “Risk management in the construction industry using combined fuzzy FMEA and fuzzy AHP”. Journal of construction engineering and management, ASCE / September 2010.  Whyte, A. , 2014, Integrated Design and Cost Management for Civil Engineers, CRC Press, Taylor & Francis Group 6000 Broken Sound Parkway NW, Suite 300, Boca Raton, FL 33487-2742, International Standard Book Number-13: 978-0-203-12760-5 (eBook - PDF).  Mishra, S. and Mishra, B.,(2016). “A Study on Risk Factors Involved in the Construction Projects”. International Journal of Innovative Research in Science, Engineering and Technology, Vol. 5, Issue 2, February 2016.  K., Jayasudha and B. Vidivelli. (2016). “Analysis of major risks in construction projects “. vol. 11, no. 11, June 2016 ARPN journal of engineering and applied sciences.  Berenger Y. Renault and Justus N. Agumba. (2016). “Risk management in the construction industry: a new literature review”. MATEC Web of Conferences 00008 (2016) IBCC 2016.
Hesham Abd El Khalek, Remon F. Aziz, Hamada Kamel "Risk Contingency Evaluation in International Construction Projects (Real Case Studies)" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.6 issue 6S, pp.01-18 2017
Basic concept of structural health assessment of the structure or structural evaluation is mainly based on visual examination and NDT. The purpose of visual examination is to know the status of structures under applied load and other environmental. Structural health assessments can be made with NDT methods to provide important information for the structural performance of the concrete, rebar location etc. There are different NDT Techniques for assessment of concrete quality e.g. Rebound Hammer, Ultra Sonic Pulse Velocity, Impact-echo etc. Sonic- Integrity Test (SIT) & Pile Integrity Tester is based on principle of Impact-Echo. Rebound hammer can be used to find hardness of the concrete structure surface, and its strength is related using inbuilt calibration curve in the instrument. Ultra-sonic Pulse Velocity Equipment can be used to observe wave transmission through Concrete structure. The Present paper includes the study of correlation of experimental studies with laboratory results. The objective of overall investigation is to assess the existing quality, integrity and compressive strength of concrete in the raft, beam, column and superstructure element. This can be utilized for overall structural safety appraisal of the structure. Besides, in case of any inadequacy in the concrete quality being revealed, suitable remedial measures can also be suggested.
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- Date of Publication: 10 June 2017
- Mahipal Burdak Department of Structural Engineering, MBM Engineering College, JNV University, Jodhpur, Rajasthan, India
- A K Gupta Department of Structural Engineering, MBM Engineering College, JNV University, Jodhpur, Rajasthan, India
- S S Sankhla Department of Structural Engineering, MBM Engineering College, JNV University, Jodhpur, Rajasthan, India
. ACI 228.1R-95, In-Place Test Methods for Determination of Strength of Concrete. . ACI 364.1R-94, Guide for the Evaluation of Concrete Structures Prior to Rehabilitation. . ACI Manual, December 2007, Inspection Instruments Inc. . Gupta A.K. and Sharma Ravi Kumar, “Short term course on Non-destructive Assessment of Structure (NONDAS)”. Department of Structural Engineering, M.B.M. Engineering College, Jodhpur . Gambhir, M.L. (2000), “Concrete Technology”, Tata McGraw Hill, N. Delhi. . IS: 10262:2000, Recommended guide line for concrete mix design", Bureau of Indian Standards, New Delhi. . IS: 13311 – (Part 1) 1992, "Non Destructive Testing of Concrete – Methods of Test – Ultrasonic Pulse Velocity", Bureau of Indian Standards, New Delhi. . IS: 13311-(Part 2) 1992, "Non Destructive Testing of Concrete – Methods of Test – Rebound Hammer", Bureau of Indian Standards, New Delhi. . IS: 456-2000, "Code of Practice for Plain and Reinforced Concrete", Bureau of Indian Standards, New Delhi. . IS: 516-1959, "Method of Test for Strength of Concrete", Bureau of Indian Standards, New Delhi.
Mahipal Burdak, A K Gupta, S S Sankhla "Non Destructive Investigation of ESR for Structural Health Assessment" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.6 issue 6S, pp.19-24 2017
Water quality index (WQI) is a remarkable and unique technique to rate and to depict the overall water quality status in a single term. To calculate the WQI the influence of different water quality parameters are studied in detail. The sums of these are then substituted in the numerical formula and the WQI is obtained. The different parameters gives the exact quantity of the impurities present in the water and its toxic level, but the WQI suggests the overall quality of water and also that whether it should be healthy to be used for biotic and abiotic environment. In other words it explains that how healthy the water is.
- Page(s): 25-28
- Date of Publication: 10 June 2017
- Anima UpadhyayAssistant Professor, Department of Chemistry, Sir MVIT, Bangalore, Karnataka, India
- M. ChandrakalaR and D Center, Bharathiar University, Coimbatore, T.N, India
. Dhirendra Mohan Joshi., Alok Kumar, Namita Agrawal. (2009). Studies On Physicochemical Parameters To Assess The Water Quality Of River Ganga For Drinking Purpose In Haridwar District. Rasayan J. Chem. 2:195-203. . Divya Raghuvanshi., Harendra Singh., Rubi Pandey., Beenu Tripathi, Shukla, D.N., (2014). Physico – Chemical Properties and Correlation Co-Efficient of River Ganga at Allahabad. Bulletin of Environment, Pharmacology and Life Sciences. 3:233-240. . Jadhav, S.D., Jadhav, M.S., Jawale, R.W.. (2013). Physico – Chemical and Bacterilogical Analysis of indrayani River Water at Alandi, Pune District (Maharashtra) India. International Journal of Scientific & Engineering Research. 4. . JaneshwarYadav., SujitPillai., Atul Upadhya., (2012). Analysis of Physico – chemical Parameters of Kunda River (major Tributary of Narmada From Nimar Region). Int J. Chem . Sci.10:1654-165. . Leena Sing., S.K Choudhary., (2013). Physico – Chemical Characteristics of River Water Of Ganga In Middle Ganga Plains. International Journal of Innovative Research in Science, Engineering and Technology. 2. . Manoj Kumar Solaki., O.P.Gupta., D.K.Singh., Shukdeo Prasad Ahirwar., (2014). Comparative Physico – Chemical Analysis of River Water and Underground Water in Winter Season of Rewa City, MP, India. International Research Journal of Environment Sciences. 3: 59-61. . MushiniVenkataSubbaRao., VaddiDhilleswaraRao., Bethapudi Samuel Anand Andrews., (2012). Assessment of Quality of Drinking Water at Srikurmam in Srikakulam District, Andhra Pradesh, India. I. Res. J. Environment Sci. 1:13-20. . Priyanka Trivedi., Amita Bajpai., Sukarma Thareja., (2009). Evaluation of Water Quality: Physico – Chemical Characteristics of Ganga River at Kanpur by using Correlation Study. Nature and Science.1. . RichaKhare, SmritiKhare., MonikaKamboj., Jaya Pandey., (2011). Physico – chemical Analysis of Ganga River Water. Asian Journal of Biochemical and Pharmaceutical Research. 2: 232-239. . Vinod Jena., Sapna Gupta., NatalijaMatic., (2013). Assessment of Kharoon River Water Quality at Raipur by Physico – Chemical Parameters Analysis. Asian J. Exp. Biol. Sci. 4: 79-83. . Yadav, R.C., Srivastava, V.C., (2011). Physico – Chemical properties of the water of river Ganga at Ghazipur. Indian J. Sci. Res. 2:41-44. . K. Jomet Sebastian., Sadanand M., Yamakanamardi., (2013). Assessment of Water Quality Index of Cauvery and Kapila River and Their Confluence. International Journal of Lakes and rivers. 1: 59-67. . Kavita Parmar., Vineeta Parmar., (2010). Evaluation of water quality index for drinking purposes of river Subernarekha in Singhbhum District. International Journal Of Environmental Sciences.1. . Khanna, R., Bhutiani., Bharti Tyagi., Prashant Kumar Tyagi., Mukesh Ruhela., (2013). Determination of water quality index for the evaluation of surface water quality for drinking Purpose. International Journal of Science and Engineering. 1:09-14. . Prabodha Kumar Meher., Prerna Sharma., Yogendra Prakash Gautam., Ajay Kumar., Kaushala Prasad Mishra., (2015). Evaluation of Water Quality of Ganges River Using Water Quality Index Tool. Environment Asia. 8:124-132. . Ruby Pandey., Divya Raghuvanshi., Shukla, D.N., (2014). Assessment of Physico – Chemical Parameters of River Ganga at Allahabad With Respect To WQI. International Journal of Innovative Research in Science, Engineering and Technology. 3. . Shweta Tyagi1., Bhavtosh Sharma., Prashant Singh., Rajendra Dobhal., (2013). Water Quality Assessment in Terms of Water Quality Index. American Journal of Water Resources. 1: 34-38. . Tirkey Poonam., Bhattacharya Tanushree., Chakraborty Sukalyan., (2013). Water Quality Indices - Important Tools For Water Quality Assessment: A Review. International Journal of Advances in Chemistry. 1. . Dara, S.S. (2001). A Textbook on Experiments and Calculations in Engineering Chemistry. S. Chand & C0. Ltd. . Guideline for Drinking Water. World Health Organization, Geneva. 1993. 1:52-82. . Cude, C. (2001). Oregon water quality index: A tool for evaluating water quality management effectiveness. Journal of the American Water Resources Association. 37:125 – 137. . Chaterjee, C., Raziuddin., (2002). Determination of water quality index (WQI) of a degraded river in Asanol industrial area, Raniganj, Burdwan, West Bengal. Nature, Environment and Pollution Technology. 1:181 – 189.
Anima Upadhyay and M. Chandrakala "Study of Physico – Chemical Parameters to obtain WQI of Yamuna River Water, New Delhi, India" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.6 issue 6S, pp.25-28 2017
In recent years the technology is growing rapidly and the development of the country very fast and also due to this the infrastructures are increasing. Hence the changes could be noted by using new generation of Earth observation sensors with high spatial resolution or high resolution (HR) which provide detailed information for change detection. The widely used methods for high-resolution image change detection rely on textural/structural features. In order to get the high resolution images for viewing the areas in this project we use multi index automatic change detection method is proposed for the high-resolution imagery. The advantages are as follows: 1) The information (images) sent by the satellite would be in very low size, low pixels so in order to improve the viewing ability we use high-dimensional but low-level features (e.g., textural and structural features) i.e. multi index representation method. The multi index representation refers to the enhanced vegetation index, the water index, and the recently developed morphological building index. I am going use this technique for implementing in military places, which has a very large application. Moreover, the traditional methods based on the state-of- the-art textural/morphological features were also implemented for the purpose of comparison, which further validates the advantages of my project.
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- Date of Publication: 10 June 2017
- Madhukar.B.N Senior Assistant Professor, NHCE, Bengaluru, India
- Sheshashayana.K.S M.Tech Student, NHCE, Bengaluru, India
References. M. Hussain, D. Chen, A. Cheng, H. Wei, and D. Stanley, “Change detection from remotely sensed images: From pixel-based to object-basedapproaches,” ISPRS J. Photogramm. Remote Sens., vol. 80, pp. 91–106,Jun. 2013. . P. Coppin, I. Jonckheere, K. Nackaerts, B. Muys, and E. Lambin, “Digitalchange detection methods in ecosystem monitoring: A review,” Int. J.Remote Sens., vol. 25, no. 9, pp. 1565–1596, May 2004. . X. Huang and L. Zhang, “An SVM ensemble approach combiningspectral, structural, and semantic features for the classification ofhigh-resolution remotely sensed imagery,” IEEE Trans. Geosci. RemoteSens., vol. 51, no. 1, pp. 257–272, Jan. 2013. . V. Walter, “Object-based classification of remote sensing data forchange detection,” ISPRS J. Photogramm. Remote Sens., vol. 58, no. 3/4,pp. 225–238, Jan. 2004. . T. Celik and K.-K. Ma, “Multitemporal image change detection usingundecimated discrete wavelet transform and active contours,” IEEE Trans.Geosci. Remote Sens., vol. 49, no. 2, pp. 706–716, Feb. 2011. . T. Celik, “Multiscale change detection in multitemporal satellite images,”IEEE Geosci. Remote Sens. Lett., vol. 6, no. 4, pp. 820–824, Oct. 2009. . M. Dalla Mura, J. A. Benediktsson, F. Bovolo, and L. Bruzzone, “An unsupervisedtechnique based on morphological filters for change detectionin very high resolution images,” IEEE Geosci. Remote Sens. Lett., vol. 5, no. 3, pp. 433–437, Jul. 2008. . Z. Lei, T. Fang, H. Huo, and D. Li, “Bi-temporal texton forest for landcover transition detection on remotely sensed imagery,” IEEE Trans.Geosci. Remote Sens., vol. 52, no. 2, pp. 1227–1237, Feb. 2014. . G. Camps-Valls, L. Gómez-Chova, J. Muñoz-Marí, J. L. Rojo-Álvarez,and M. Martínez-Ramón, “Kernel-based framework for multitemporaland multisource remote sensing data classification and change detection,”IEEE Trans. Geosci. Remote Sens., vol. 46, no. 6, pp. 1822–1835,Jun. 2008. . K. Chen, C. Huo, Z. Zhou, H. Lu, and J. Cheng, “Semi-supervisedchange detection via Gaussian processes,” in Proc. IEEE IGARSS, 2009,pp. II-996–II-999. . M. Roy, S. Ghosh, and A. Ghosh, “A novel approach for change detection of remotely sensed images using semi-supervised multiple classifiersystem,” Inf. Sci., vol. 269, pp. 35–47, Jun. 2014. . U. C. Benz, P. Hofmann, G. Willhauck, I. Lingenfelder, and M. Heynen,“Multi-resolution, object-oriented fuzzy analysis of remote sensing datafor GIS-ready information,” ISPRS J. Photogramm. Remote Sens., vol.58, no. 3/4, pp. 239–258, Jan. 2004. . M. Pesaresi and J. A. Benediktsson, “A new approach for the morphologicalsegmentation of high-resolution satellite imagery,” IEEE Trans.Geosci. Remote Sens., vol. 39, no. 2, pp. 309–320, Feb. 2001.
Madhukar.B.N, Sheshashayana.K.S "A New Approach for Multi Index Automatic Change Detection in HR Remotely Sensed Imagery" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.6 issue 6S, pp.29-33 2017
Rajasthan is the most beautiful and vibrant state of India. The unique characteristic of its architecture is very popular in the whole world. The Rajasthan architecture is significantly depend on Rajput architecture school which was mixture of mughal and Hindu structural design. Grand havelis, astonishing forts and elaborately carved temples are the vital portion of architectural heritage of Rajasthan. Few of most striking and splendid forts along with palaces with parched Aravali land clearly depicts history of Rajasthan’s celebrated heritage. Almost every city of the spectacular desert land Rajasthan is lined with fabulous forts and palaces built by various rulers and architects. These forts and palaces were generally built outside the walled city over the high hills to protect the city. The state of Rajasthan hosts few of splendid palaces and forts of the whole world. Ornamented havelis, elaborately carved temples and also magnificent forts are section of the Rajasthan’s architectural heritage. The artistic builders designed major architectural styles which are located in cities like Jaisalmer, Udaipur, Jaipur and Jodhpur. The most significant architectural designs in Rajasthan include Jantar Mantar, Dilwara Temples, Lake Palace Hotel, and City Palaces, Chittorgarh Fort, Deeg palace and Jaisalmer Havelis. The glory is well conserved in the Rajasthan and in the majestic forts and palaces. Enduring the unmerciful desert winds and oppressing heat of the scorching sun, they have stood unshakable against many-a-sieges and have provided protection to the rulers in their time of conflict. Now, they have been opened to the tourists who come here to see a wonderful presentation of their rich heritage and splendid artistic architecture. Many of these forts and palaces retain their old allure and ritual. Some of the royal residences have been now turned into heritage hotels, where the visitors can still experience the magic of India's imperial past. Important Artifacts of Rajasthan Architecture are: Havelis, Chhatris, Jharokhas, and Stepwells.
- Page(s): 34-40
- Date of Publication: 10 June 2017
- Mahipal BurdakDepartment of Structural Engineering, MBM Engineering College, JNV University Jodhpur, Rajasthan, India
- A K GuptaDepartment of Structural Engineering, MBM Engineering College, JNV University Jodhpur, Rajasthan, India
- D K SinghalProject Director, RSRDC Ltd Bikaner, Rajasthan, India
. Elvyra Veronika TELKSNIENE, Head of technical research laboratory, The Centre of Cultural Heritage, Vilnius, Lithuania; “Historic Materials and Their Diagnostic in Lithuania” . Acun S; Arioglue N “The evolution of lime mortars and plasters with purpose of Conservation and Restoration”, ITU, Architecture Faculty, Takisla Istumbul Turkey,Commission VI,WG VI/6 pp1-6 . International Council of Monuments and Sites, “Recommendations for the Analysis, Conservation and Structural Restoration of Architectural Heritage”. . Stephan Fitz, “A Spotlight on the Present Situation at the Beginning of the New Millennium” Saving Cultural Heritage in Germany, a report. . Feiden, B.M., “The State of Europe’s Architectural Heritage” a proceeding on European Symposium. . Michoinova Dagmar “New Materials for the Protection of Cultural Heritage State Institute for the Care of Historical Monuments”, Technological Department, Valdstenjnske . Computer aided behavioral analysis of complex physical systems applied to stone decay in monuments. . BÖHLER, Monica BORDAS VICENT, Guido HEINZ, Andreas MARBS and Hartmut MÜLLER, High Quality Scanning and Modeling of Monuments and Artifacts Wolfgang. . F. Summers a, N. Atalan a, N. Aydın a, O. Basagac, G. Uçar, a Documentation of Archaeological Runs and Standing Monuments using Photo-Rectification and 3D Modelling . Coldstream N. “Medieval Craftsmen: Masons and Sculptors”. British Museum Press, London, 1990 . CSA (Canadian Standards Association). 2004. “Mortar and Grout for Unit Masonry.” CSA A179-04 . ElGawady M, Lestuzzi P.M, Badoux A , “Review of conventional seismic retrofitting techniques for URM” 13th International Brick and Block Masonry Conference Amsterdam, July 4-7, 2004 . Feilden B.M., The State of Europe’s Architectural Heritage: A Personal View. in Science, Technology and European Cultural Heritage: Proceedings of the European symposium, Bologna 1989, Ed. N.S. Baer, C. Sabbioni, A. Sors . Gupta A.P. Formerly Professor, Department of Civil Engineering, IIT, Kharagpur 20– SE201 NPCBEERM, MHA(DM) 1 CHAPTER 20 “Deterioration and damage in buildings.” . Maurenbrecher A.H.P. “Mortars for repair of traditional masonry” NRCC-46903. . Saving Cultural Heritage in Germany A Spotlight t on the Present Situation at the Beginning of the New Millennium Stephan Fitz . Winkler E.M., “Stone: properties, durability in men’s environment”, 1st edn. Springer, Berlin Heidelberg New York, 1973
Mahipal Burdak, A K Gupta, D K Singhal "Challenges in Conservation of Heritage Structures" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.6 issue 6S, pp.34-40 2017
The probe sensor is of two parallel plates type which is used to determine the moisture content of the soil. The probe sensor is connected to a resistance to time period converter circuit of the TDR soil moisture sensor system whose output time period depends upon the resistance of the soil which in turn depends upon the moisture content of the soil acting as medium between the plates of the probe sensor. The TDR probe sensor is designed and simulated using the Integrated Electro software in order to determine the effects of the parameters like length, thickness and gap between the plates on electric field and energy density. The simulation results are used to predict and determine the geometry of the probe sensor, the materials that should be used in making the plates of the probe sensor and coating the plates of the probe sensor for reducing the effects of the fringing field and noise in the environment.
- Page(s): 41-47
- Date of Publication: 10 June 2017
- Prashant ThapliyalAssistant Professor, HNB Garhwal University, Srinagar Garhwal, Uttarakhand, India
- Gambheer Singh KathaitAssistant Professor, HNB Garhwal University, Srinagar Garhwal, Uttarakhand, India
- Vishal RohillaAssistant Professor, HNB Garhwal University, Srinagar Garhwal, Uttarakhand, India
. Rothe, A., W. Weis, K. Kreutzer, D. Matthies, U. Hess, and B. Ansorge. 1997. Changes in soil structure caused by the installation of time domain reflectometry probes and their influence on the measurement of soil moisture. Water Resour. Res. 33:1585–1593. . Dalton, F.N., and M.Th. van Genuchten. 1986. The time-domain reflectometry method for measuring soil water content and salinity. Geoderma 38:237–250. . Zegelin, S.J., I. White, and D.R. Jenkins. 1989. Improved field probes for soil water content and electrical conductivity measurement using time domain reflectometry. Water Resour. Res. 25:2367–2376. . Knight, J.H. 1992. Sensitivity of time domain reflectometry measurements to lateral variations in soil water content. Water Resour. Res. 28:2345–2352. . Ferre, P.A., D.L. Rudolph, and R.G. Kachanoski. 1996. Spatial averaging of water content by time domain reflectometry: Implications for twin rod probes with and without dielectric coatings. Water Resour. Res. 32:271–279. . Ferre, P.A., J.H. Knight, D.L. Rudolph, and R.G. Kachanoski. 1998. The sample areas of conventional and alternative time domain reflectometry probes. Water Resour. Res. 34:2971–2979. . Chudobiak, W.J.B., B.A. Syrett, and H.M. Hafez. 1979. Recent advances in broad band VHF and UHF transmission line methods for moisture content and dielectric constant measurement. IEEE Trans. Instrum. Meas. 28:284–289. . Robinson, D.A., and S.P. Friedman. 2000. Parallel plates compared to conventional rods as TDR waveguides for sensing soil moisture. Subsurface Sens. Technol. Appl. 1:497–511. . Inoue, Y., T. Watanabe and K. Kitamura. 2001. Prototype time-domain reflectometry probes for measurement of moisture content near the soil surface for applications to ‘on the move’ measurements. Agric. Water Manage. 50:41–52. . D. A. Robinson, S. B. Jones, J. M. Wraith, D. Or and S. P. Friedman, “A Review of Advances in Dielectric and Electrical Conductivity Measurement in Soils Using Time Domain Reflectometry”. . Skaling W. 1992. TRASE: A product history. p. 187–207. In G.C. Topp (ed.) Advances in measurement of soil physical properties: Bringing theory into practice. SSSA Spec. Publ. 30. SSSA, Madison, WI. . Kraus J.D. 1984. Electromagnetics. 3rd ed. McGraw Hill, London.
Prashant Thapliyal, Gambheer Singh Kathait, Vishal Rohilla "Design of the Probe Sensor for the TDR Soil Moisture Sensor System" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.6 issue 6S, pp.41-47 2017
Utilities deliver power to their customer through a network of generation, transmission lines, substation & distribution system. A distribution system carries power from substation transformer through feeder circuit to distribution transformer located near customer. Distribution spending is one of the largest costs for most utilities also cause of concerns as network increases day by day along with the increasing power demand. Utilities are constantly looking forward to increase productivity in the distribution system. This means reducing losses, improving customer service & protecting assets. A Distribution transformer is utilized to step down the voltage from 11 KV to 0.433/.250 KV so that the electrical power is usable for providing supply to customer such as domestic, industrial, etc. A consumer expects uninterrupted power supply because during failure of power all work be it domestic, official, industrial comes to standstill. Hence, transformer failure leads economic loss, interrupted power supply in industries, offices. This paper present types of failure in distribution transformer, means for reducing distribution losses & recent practices in this regards by Gujarat DISCOM.
- Page(s): 48-51
- Date of Publication: 10 June 2017
- Parth Rawal Electrical Department Government Polytechnic Rajkot / Gujarat Technological University, Gujarat, India
- Pratipalsinh Jadeja Electrical Department Government Polytechnic Rajkot / Gujarat Technological University, Gujarat, India
- Vishal Devdhar Electrical Department Government Polytechnic Rajkot / Gujarat Technological University, Gujarat, India
. REC MANNUAL . ANALYSIS OF TRANSFORMER FAILURE BY WILLIAM “INTERNATIONAL ASSOCIATION OF ENGINEER INSURERS 36TH ANNUAL CONFERENCE- STOCKHOLM” . A STUDY OF FAILURE OF POLE MOUNTED DISTRIBUTION TRANSFORMER “2012 INTERNATIONAL CONFRENCE ON HIGH VOLTAGE ENGINEERING AND APPLICATION, CHINA” . FAILURE MODES AND EFFECTS ANALYSIS OF TRANSFORMER “ROYAL INSTITUTE OF TECHNOLOGY, STOCKHLOM” . “MEGHALAYA STATE ELECTRICITY BOARD” . “GUJARAT DISTRIBUTION REFORM DRAFT REPORT”BY GEB
Parth Rawal, Pratipalsinh Jadeja, Vishal Devdhar "Distribution Transformer Failure Analysis in Gujarat DISCOM" International Journal of Latest Technology in Engineering,Management & Applied Science-IJLTEMAS vol.6 issue 6S, pp.48-51 2017
In this project a single solar cell performance is analysis with change in the various electrical and mechanical parameters. The open circuit voltage and short circuit current (I-V) and P-V of solar cell is varies with the influence electrical and mechanical parameters. In this project we analysis the solar cell with the following parameter such as temperature, irradiance and series resistance (Rs) and shunt resistor (Rsh). The analysis is done separate and combined effect of temperature and irradiance with series and shunt resistor. The single solar cell model is done by MATLAB-Simulink tool and the output under change in various parameters is verified.
- Page(s): 52-61
- Date of Publication: 10 June 2017
- Mustafa Sabah Abd Ali Power System Engineering, Acharya Nagarjuna University, Guntur,India
- Mustafa Sabah Abd Ali Assistant Professor, Electrical and Electronics Engineering Department, Acharya Nagarjuna University, Guntur,India
. S.W. Angrist, Direct Energy Conversion, Vol. 4, Allyn and Bacon Inc., Boston, 1982, pp. 177-227. . O. Wasynczuk, Dynamic behavior of a class of photovoltaic power system, IEEE Transactions on Power Apparatus and Systems 102(1983) 3031-3037. . J.C.H. Phang, D.S.H. Chan, J.R. Philips, Accurate analytical method for the extraction of solar cell model parameters, Electronics Letters 20 (1984) 406-408. . Antonio Luque, Steven Hegedus, Handbook of Photovoltaic Science and Engineering, 2nd edition, chapter 3(Jeffery L. Gray, The Physics of Solar Cell),1 March, 2011. . S.M. Sze & Kwok K. Ng, hysics of Semiconductor Devices, 3rd edition, 2007. . Safa. O. Kasap, Optoelectronics and Photonics; Principles and Practices, 1st edition Prentie Hall, 2001. . C.Hu and R.M. White, Solar cells, McGraw-Hill Inc, New York, 1983. . Ben Richard Hughes, Ng Ping Sze Cherisa, and Osman Beg, Computational Study of Improving the Efficiency of Photovoltaic Panels in the UAE, World Academy of Science, Engineering and Technology, Vol: 5, 2011-01-22. . S. Sheik Mohammed, Modeling and Simulation of Photovoltaic Module Using MATLAB/Simulink, International Journal of Chemical and Environmental Engineering, Vol. 2, No. 5, October 2011. . MSX 60 Datasheet, BP solar Global Marketing, 2002. . Yuki Tsuno, Yoshihiro Hishikawa and Kosuke Kurokawa, Translation Equations for Temperature and Irradiance of the I-V Curves of Various PV Cells and Modules,Vol.2, IEEE, 2006. . B. Alsayid, Modeling and Simulation of Photovoltaic Cell/Module/Array with Two-Diode Model, International Journal of Computer Technology and Electronics Engineering (IJCTEE), Volume 1, Issue 3, (2012). . T. Salmi, M. Bouzguenda, A. Gastli, A. Masmoudi, MATLAB/Simulink Based Modelling of Solar Photovoltaic Cell, International Journal of Renewable Energy Research, Vol.2, No.2, (2012). . Ould Mohamed Yahya, A. Ould Mahmoud and I. Youm, Etude et modélisation d’un générateur photovoltaïque, Revue des Energies Renouvelables Vol. 11 N°3, pp. 473-483, (2008). . M. Azzouzi, “Modeling and simulation of a photovoltaic cell considering singlediode model”, Recent Advances in Environmental Science and Biomedicine , pp. 175-182, Ziane Achour University of Djelfa, Algeria, 2014.
Mustafa Sabah Abd Ali, Ch.Punya Sekhar "Modeling Combined Effect of Temperature, Irradiance, Series Resistance (Rs) and Shunt Resistor (Rsh) on Solar Cell by MATLAB/ Simulink" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.6 issue 6S, pp.52-61 2017
This paper presents a new approach for the enhancement of Synthetic Radar Imagery using Discrete Wavelet Transform and its variants. Some of the approaches like nonlocal filtering (NLF) techniques, and multiscale iterative reconstruction (e.g., the BM3D method) do not solve the RE/SR imaging inverse problems in descriptive settings imposing some structured regularization constraints and exploits the sparsity of the desired image representations for resolution enhancement (RE) and superresolution (SR) of coherent remote sensing (RS). Such approaches are not properly adapted to the SR recovery of the speckle-corrupted low resolution (LR) coherent radar imagery. These pitfalls are eradicated by using DWT approach wherein the despeckled/deblurred HR image is recovered from the LR speckle/blurry corrupted radar image by applying some of the descriptive-experiment-design-regularization (DEDR) based re-constructive steps. Next, the multistage RE is consequently performed in each scaled refined SR frame via the iterative reconstruction of the upscaled radar images, followed by the discrete-wavelet-transform-based sparsity promoting denoising with guaranteed consistency preservation in each resolution frame. The performance of the method proposed is compared in terms of the number of iterations taken by it with other techniques existing in the literature.
- Page(s): 62-65
- Date of Publication: 10 June 2017
- Madhukar.B.N Senior Assistant Professor, NHCE, Bengaluru, India.
- Nagendra Babu. R M.Tech-ECE(communication system), NHCE, Bengaluru, India
. J. S. Lee et al., “Improved sigma filter for speckle filtering of SAR imagery,” IEEE Trans. Geosci. Remote Sens. vol. 47, no. 1, pp. 202–213, Jan. 2009. . V. M. Patel, G. R. Easley, R. Chellappa, and N. M. Nasrabadi, “Separated component-based restoration of speckled SAR images” IEEE Trans. Geosci. Remote Sens., vol. 52, no. 2, pp. 1019–1029, Feb. 2014. . M. A. T. Figueiredo and R. D. Nowak, “An EM algorithm for wavelet-based image restoration,” IEEE Trans. Image Process., vol. 12, no. 8, pp. 906–916, Aug. 2003. . M. Iqbal, A. Chafoor, and A. Siddiqui, “Satellite image resolution enhancement using dual-tree complex wavelet transform and nonlocal means,” IEEE Geosci. Remote Sens. Lett., vol. 10, no. 3, pp. 451–455, May 2013. . H. Chavez-Roman and V. Ponomaryov, “Super resolution image generation using wavelet domain interpolation with edge extraction via a sparse representation,” IEEE Geosci. Remote Sens. Lett., vol. 11, no. 10, pp. 1777–1781, Oct. 2014. . M. Zibulevsky and M. Elad, “L1–L2 optimization in signal and image processing,” IEEE Signal Process. Mag., vol. 27, no. 3, pp. 76–88, May 2010. . V. M. Patel, G. R. Easley, D. M. Healy, and R. Chellappa, “Compressed synthetic aperture radar,” IEEE J. Sel. Topics Signal Process., vol. 4, no. 2, pp. 244–254, Apr. 2010. . S. Parrilli, M. Poderico, C. Angelino, and L. Verdovila, “A nonlocal SAR image denoising algorithm based on LLMMSE wavelet shrinkage,” IEEE Trans. Geosci. Remote Sens., vol. 50, no. 2, pp. 606–616, Feb. 2012. . Y. V. Shkvarko, “Unifying experiment design and convex regularization techniques for enhanced imaging with uncertain remote sensing data—Part II: Adaptive implementation and performance issues,” IEEE Trans. Geosci. Remote Sens., vol. 48, no. 1, pp. 96–111, Jan. 2010. . Peyton Z. Peebles, “Radar Principles,” 1st Edition, Wiley India Private Limited, New Delhi, India. 2014. . Byron Edde, “Radar: Principles, Technology, Applications,” 1st Edition, Pearson India Inc., New Delhi, India. 2010. . C. Crhistopher Oliver and Shaun Quegan, “Understanding Synthetic Aperture Radar Images,” 1st Edition, Artech Publishers, New York, U.S.A., 2000.
Madhukar.B.N, Nagendra Babu. R "Enhancement of SAR Imagery using DWT" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.6 issue 6S, pp.62-65 2017