@Research Paper
<#LINE#>Optimization of QoS key parameters in LTE network by using central composite design (CCD)<#LINE#>Amit @Bhagat,Nanda Bikram @Adhikari <#LINE#>1-11<#LINE#>1.ISCA-RJEngS-2020-010.pdf<#LINE#>Department of Electronics and Computer Engineering, Institute of Engineering, Pulchowk Campus, Tribhuvan University, Nepal@Department of Electronics and Computer Engineering, Institute of Engineering, Pulchowk Campus, Tribhuvan University, Nepal<#LINE#>29/7/2020<#LINE#>15/9/2020<#LINE#>The quality of service is always desirable and challenging factor from generation to generation. In this research work optimization of QoS key parameters in LTE network using central composite design, different approach has been adapted to optimize quality of service. The motto of selecting this research work was for achieving better quality of service with limited power consumption. In addition, very few researches have been done in optimization and this can be gateway and matter of research for 5G too for focusing on optimizing network parameter for gaining better QoS. In this module, Central Composite Design is considered as fixed method for optimization among many other optimizations approaches available. In this module, both simulation and observation are considered as a system result. It is found that antennae height, antennae gain is impacting quality of service. Along with those antennae parameter other parameter is also taken in consideration. It is considered that these control parameters are impacting coverage, signal level, service area analysis and this research methodology try to check performance of the system on the basis of same performance parameters. The optimum value of azimuth angle, mechanical tilt, antennae gain and antennae height was achieved 8.7-degree, 0 degree, 20 dBi and 27.5m respectively. Performance test and validation of system was done using those optimum value by running simulation on Atoll and compare those result with existing network simulation result. The total coverage area was increased from 92.2% to 99.6% after optimization which was based on LTE band 3, 1800 MHz frequency. The average best signal coverage all over the computational region has risen from -78.56 dBm to -76.31 dBm and service area analysis based on modulation scheme also get enhanced. similarly, poor signal zone reduced from 4% to 0.27% after optimization.<#LINE#>RahmatiaS., Tanjung A.K., Samijayani O.N. and Tanjung W.N. (2018).@Network Planning Optimization of Long-Term Evolution Radio Transmitter Using Taguchis Method.@Souvenir from 1st International Conference on Smart Computing and Electronics. Kuala Lumpur, Malaysia, 11th-12th July 1-6.@Yes$Prapaisri, S. A. (1993).@Comparison of Response Surface Model and Taguchi Method for Robust Design.@Unpublished doctoral dissertation. Oregon State University, Eugene, United State.@No$Zunaierlan S. and Riyanto I. (2016).@4G LTE Network Design Around Budi Luhur University Campus and Its Neighborhood Area.@Souvenir from 1st International Conference on Micro and Nano Technologies. Kuala Lumpur, Malaysia, 19th-20th July, 51-56.@Yes$Mitikie, L. (2016).@UMTS Coverage and Capacity Planning for the case of Bole Sub City in Addis Ababa.@Unpublished doctoral dissertation. Ababa University, Ababa, Ethiopia.@No$John, J.B. and Boonorm, C. (2012).@Comparison of Response Surface Designs in a Spherical Region.@International Journal of Mathematical and Computational Sciences, 6(5), 545-548.@Yes$Tiwari, K. (2015).@Papr Aware Power Allocation for Ofdma.@Unpublished doctoral dissertation. The University of Oulu, Finland.@Yes$Jha S.K., Rokaya R., Aryal L., Khan A.R. and Bhagat A. (2017).@LTE Network: Coverage and Capacity Planning 4G Cellular Network Planning around Banepa.@Souvenir from International Conference on Networking and Network Applications. Kathmandu, Nepal, 16th-19th Oct. pp 180-185.@Yes$Nist S. (2019).@Central Composite Design.@https://www.itl.nist.gov/div898/handbook/pri/section3/pri 3361.htm.04/12/ 2019.@No$Chomtee, B. (2003).@Comparison of Design Optimality Criteria of Reduced Model for Response Surface Designs in a Spherical Design Region.@Unpublished doctoral dissertation. Montana State University, Bozeman, Montana.@Yes$Kiran, K.D., Radhika, T., & Ravichandra, P. (2007).@Optimization of media constituents through response surface methodology for improved production of alkaline proteases by Serratia rubidaea.@J Chem Technol Biotechnol, 8(2), 721-729.http://dx.doi.org/10.1002/ jctb. 1714@Yes$Thomas S. (2020).@Radio Propagation Modeling.@http://morse.colorado.edu/~tlen5510/text/classwebch3.html. 3/1/2020.@No$Nursafitri D.A., Usman U.K. and Maulana M.I. (2020).@Long Term Evolution (LTE) Network Planning in Jakarta-Cikampek Elevated Toll.@Souvenir from IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology. Bali, Indonesia, 7th-8th Jul. pp 146-150.@Yes$Vatsh I., Gupta V. and Bhattacharyya B. (2019).@Optimizing Base Station Deployment for LTE Using Metaheuristic Algorithms.@Souvenir from International Conference on Vision towards Emerging Trends in Communication and Networking. Vellore, India, 30th-31th Mar. pp 1-6.@Yes$Yogapratama A.S., Usman U.K. and Wibowo T.A. (2015).@Analysis on 900 MHz and 1800 MHz LTE network planning in rural area. Souvenir from 3rd International Conference on Information and Communication Technology.@Bali, Indonesia, 27th-29th Sept. 135-139.@Yes$A. Yadav (2020).@Personal communication.@January 13, (2020).@No$Kusmaryanto S., Sari S.N. and Haromain I. (2018).@Long Term Evolution (LTE) Network Planning at 700 MHz Frequency in Cipali Toll Road Using Atoll Radio Planning Software.@Souvenir from Electrical Power, Electronics, Communications, Controls and Informatics Seminar. Batu, Indonesia, 9th-11th Oct. 218-223.@Yes$Park H., Park M., Seo H.K. and Kim S.E. (2020).@Development of CMOS-Compatible Low Temperature Cu Bonding Optimized by the Response Surface Methodology.@Souvenir from IEEE 70th Electronic Components and Technology Conference. Orlando, USA, 3rd-30th Jun. pp 1474-1479.@Yes$Zhang Z. and Xiaofeng B. (2009).@Comparison about the Three Central Composite Designs with Simulation. Souvenir from International Conference on Advanced Computer Control.@Singapore, Singapore, 22th-24th Jan. pp 163-167.@Yes
<#LINE#>Assessment of the compression strength performance of finger-jointed wood products<#LINE#>C.K. @Muthumala,S. De @Silva,P.L.A.G. @Alwis,K.K.I.U. @Arunakumara <#LINE#>12-19<#LINE#>2.ISCA-RJEngS-2020-011.pdf<#LINE#>Research Division, State Timber Corporation, Sri Lanka@Dept. of Civil and Environmental Engineering, Faculty of Engineering, University of Ruhuna, Hapugala, Galle, Sri Lanka  @Dept. of Agric. Engineering, Faculty of Agriculture, University of Ruhuna, Mapalana, Kamburupitiya, Sri Lanka@Dept. of Crop Science, Faculty of Agriculture, University of Ruhuna, Mapalana, Kamburupitiya, Sri Lanka<#LINE#>3/8/2020<#LINE#>7/11/2020<#LINE#>Finger joint technique is used to eliminate wood defects which weaken the strength of sawn wood plank. The variation of compression strength of seven wood species commonly used for manufacturing furniture in Sri Lanka was investigated to assess finger joint efficiencies of wood species. Stratified random sampling was applied to measure compression tests in un-jointed and finger- jointed samples. BS 373: 1957 was used as the standard for test conducted with one Softwood species Pine (Pinus caribaea) and Hardwood species; Grandis (Eucalyptus grandis), Jack (Aartocarpus heterphyllus), Kumbuk (Terminelia arjuna), Big leaf Mahogany (Swietenia macrophylla), Satin (Chloroxylon swietenia) and Teak (Tectona grandis). Two finger lengths (13mm and 19 mm) were used and tested by Universal Testing Machine, using polyvinyl acetate adhesive. Data were analyzed by using ANOVA and Duncan\'s Multiple Range Test at 0.05 significant level. It was observed that the highest joint efficiency was recorded in 19 mm finger -jointed specimen of Grandis followed by 13mm finger jointed Pine specimen for compression parallel to grain. The least joint efficiency was recorded in 13mm finger jointed specimen of Kumbuk. Strength of compression perpendicular to grain of 19 mm finger-jointed specimens showed better performance than clear specimens, except Jack and Teak. Limited availability of historical data was a constraint during the study and Sri Lankan context, little effort has so far made on finger jointed manufacturing. The results will be utilized in the commercial application of finger joint manufacturing industry and useful to the traders and planners of timber industry.<#LINE#>Muthumala, C.K., De Siva S., Arunakumara, K.K.I.U. and Alwis, PLAG. (2020).@Identification of joint efficiencies in 13 mm finger jointed timber species used in Sri Lanka.@ICSBE 2018. LNCE 44 Springer nature. pte, ltd. Singapore.p. 261-267.@Yes$Bernard, E. (2014).@Maximizing wood residue utilization and reducing its production rate to combat climate change.@International Journal of Plant and Forestry Science, 1(2), 1-12.@Yes$Ofosu, A., Nutakor, J.M.N. and Ayarkwa, J. (1996).@Kumasi base-line survey- data collection for a finger jointing plant.@Forestry Res. Inst. of Ghana, Kumasi, Ghana.@Yes$BS EN, 15497. (2004).@Structural finger jointed solid timber-Performance requirements and minimum production requirements.@British Standards Institution.@No$Sandika, A.L., Pathirana, G.D.P.S. and Muthumala, C.K. (2017).@Finger joint timber products for effective utilization of natural resources: An analysis of physical properties, Economic factors and Consumers perception.@International Symposium on Agriculture and Environment, University of Ruhuna, Sri Lanka. P.109-111@Yes$Abeysinghe, L.S., Pathirana,S. and Muthumala, C. K. (2016).@Economic factors and physical properties of finger joint timber product to promote effective utilization of natural resources.@Proceeding of the International Forestry and Environment symposium, USJP, Sri Lanka. p.60.@Yes$Jokerst, R.W. (1981).@Finger-jointed wood products.@Res. Pap FPL-382 USDA Forest Service, Madison: Forest Pro Lab; Wis.p. 25.@Yes$Winandy, J.E. (1994).@Effects of long-term elevated temperature on CCA-treated Southern Pine lumber.@Forest Products Journal, 44(6), 49-55.@Yes$Yeomans, D. (2003).@Strength Grading Historic Timbers.@Cathedral Communications Limited 2010. Retrieved from http://www.buildingconservation.com/articles/gradingtimbers /grading timbers.ht. accessed 10 May 2020.@No$Sellers, T., J. Mcsween, J. R., Nearn, W. T. (1988).@Gluing of Eastern Hardwoods: A Review.@USDA Forest Service. Southern Forest Experiment Station. GTR SO-71.@Yes$Muthumala, C.K., Dulanjalee, M.W.T.C, De Siva, S, Alwis, P.L.A.G. And Arunakumara, K.K.I.U. (2018).@Factors affecting the glue strength of finger joints in commonly used timber species in Sri Lanka.@International Symposium on Agriculture and Environment, University of Ruhuna, Sri Lanka. 126-128.@Yes$Ayhan, O. and Fatih, Y. (2007).@Structural performance of the finger-jointed strength of some wood species with different joint configurations.@Construction and Building Materials. Elsevier Ltd.@Yes$Muthumala, C.K., De Siva S., Arunakumara, K.K.I.U. and Alwis, P.L.A.G. (2019).@Finger jointed wood products: A new platform for sustainable use of timber.@ATBC-Asia Pacific Conference, Mas Athina, Sri Lanka. 215.@No$Muthumala, C.K., De Siva S., Arunakumara, K.K.I.U. and Alwis, P.L.A.G. (2019).@Variation of Density, Flexural strength and Anatomical features of finger jointed wood products in Sri Lanka.@ICWSE. Romania. 635-642.@No$Bustos, C, Beauregard, R, Mohammad, M, Hernandez, R.E. (2003).@Structural performance of finger-joined black spruce wood lumber, with different joint configurations.@For Prod J., 53(9) 72-76.@Yes$Muthumala, C.K., De Siva S., Arunakumara, K.K.I.U. and Alwis, P.L.A.G. (2019).@Identifying the strength grade for finger jointed timber species according to BS 5268-2:2002.@Journal of Tropical Forestry and Environment, 9(2), 55-64.@No$Pedilite Producer firm (2018).@Pidilite Industries ltd, Data sheet.@Mumbai, India.@No$BS EN, 373:1957 (1999).@Methods of testing small clear specimens of timber.@British Standards Institution, BSI 07.@Yes$Castro, G. and Paganini, F. (1997).@Parameters affecting end finger joint performance in Poplar wood.@International conference of IUFRO. S5.02 Timber Engineering. Copenhagen, Denmark.@Yes$Vievek, S., De Silva,S., De Silva, S. and Muthumala, C.K. (2016).@Finger joint and their structural performance in different exposure conditions.@International Conference on Sustainable Build Environment, Kandy, Sri Lanka. 16-18.@Yes$Kishan V.S. K., Sharma, C.M. and Gupta, S. (2015).@Compression and flexural properties of finger jointed mango wood sections Maderas.@Ciencia tecnologia, 17(1).@Yes
<#LINE#>Assessment of togolese rivers sands potential as filter sand for drinking water plants<#LINE#>AGBO Komitse @Edoh,AYITE Yawovi M.X. @Dany,PACHOUKOVA @Irina <#LINE#>20-30<#LINE#>3.ISCA-RJEngS-2020-015.pdf<#LINE#>Laboratory of Research in Engineering Sciences, Engineers High National School, University of Lome, 01 BP 1515, Lome, Togo@Laboratory of Research in Engineering Sciences, Engineers High National School, University of Lome, 01 BP 1515, Lome, Togo@Laboratory of Research in Engineering Sciences, Engineers High National School, University of Lome, 01 BP 1515, Lome, Togo<#LINE#>7/9/2020<#LINE#>24/12/2020<#LINE#>In this work, the physical properties of river sands, commonly used in construction in Togo, were studied in order to assess their potential as filter sand for drinking water plants. Samples from 17 sites throughout the five Togolese administrative regions are subjected to the tests of sieve analysis, density, porosity, mass loss at acid and friability. Results analysis reveals that sands absolute density, bulk density and porosity are generally suitable to the standard specifications. 88% of the samples show good acid solubility; 71% have very good friability and 29% have good or poor friability. The size distribution properties of these samples, evaluated by the effective size (D10) and the uniformity coefficient (Cu), do not allow them to be used, in their natural state, as rapid filtration sand without tailoring to the desired size. For an effective size of 1 mm and a uniformity coefficient of 1,5 for example, the usable proportions of theses natural sands vary from 6% to 28%. For the same uniformity coefficient and an effective size of 0,6 mm, the usable proportions are more important and vary from 10% to 56%.<#LINE#>European Standards NF EN 12904 (2005).@Products used for treatment of water intended for human consumption-Silica sand and silica gravel.@@Yes$French Standards NF X 45.401 (1992).@Granular filter materials.@Test methods, Physical-chemical characteristics.@No$Joaquin Suarez Lopez, Pablo Ures Rodriguez and Alfredo Jacome Burgos (2014).@High rate filtration (FS-TER-001): Technology fact sheets for effluent treatment plants of textile industry.@Univerdidade da Coruna. pp1-26@No$Degremont (1979).@Manual tecnico del agua.@Cuarta edicion Espanola, 1-1254. ISBN 84-300-1651-1.@Yes$G.M. Fair, J.C. Geyer and D. A. Okun (1968).@Water and waste-water engineering.@Volume 2: Water purification and waste-water treatment and disposal, John Wiley & Sons. Inc., New York. 1-250. ISBN: 0471251313 9780471251316@No$Japan Water Works Association (JWWA) standards (2006).@Quality Standard of filter sands.@JWWA A-103 2006-2.@No$Eaux de Paris (2006).@Traitements de potabilisation des eaux de surface: Filtration.@Conference sur la potabilisation des eaux, Paris, France. pp 1-59.@No$American Water works Association (AWWA) (2001).@Standard for Granular Filter Material.@ANSI/AWWA B100-01.@No$Jijingi Hemen Emmanuel and Musa Abubakar Yebom, (2017).@Potential use of Asa river sand as filter media in water treatment plants.@American Journal of Environmental engineering and Science, 4(5), 48-59@No$Zondi, T. A, Brouckaert, B. M, Pillay, P., Pryorl, M. J, and Amirtharajah A. (2002).@Assessment of the use of Autonomous Valve less filters for Turbidity Removal in Rural Applications.@Proceedings of the WISA Biennial Conference and Exhibition, Durban, 19-23 May, 2002.@Yes$Wotton, R.S. (2002).@Water purification using sand.@Hydrobiologia, 469, 193-201. Doi:10.1023/A:10155030058 99.@Yes$Jinsong Wang, David de Ridder, Albert van der Wal and Nora B. Sutton (2020).@Harnessing biodegradation potential of rapid sand filtration for organic micropollutant removal from drinking water: A review.@Critical Reviews in Environmental Science and Technology, 50, 1-33. DOI: 10.1080/10643389.2020.1771888@Yes$Hedegaard, M. J., Prasse, C., and Albrechtsen, H.-J. (2019).@Microbial degradation pathways of the herbicide bentazone in filter sand used for drinking water treatment.@Environmental Science: Water Research & Technology, 5(3), 521-532. https://doi.org/10.1039/C8EW00790J@Yes$Liu, L., Fu, Y., Wei, Q., Liu, Q., Wu, L., Wu, J., Huo, W. (2019).@Applying Bio-Slow Sand Filtration for Water Treatment.@Polish Journal of Environmental Studies, 28(4), 2243-2251. https://doi.org/10.15244/pjoes/89544@Yes$Adeyemi, S. O (1984).@Development of Design and Operating Specification for Local Sand as Filtration Media.@Nigeria Journal of Engineering, 2(5), 16-28@Yes$Boller, M. A., and Kavanaugh, M. C. (1995).@Particle Characteristics and Head loss Increase in Granular Media Filtration.@Water Research, 29(4), 1139-1149.@Yes$Amini, F. and Troung H. V (1998).@Effect of Filter Media Particle Size Distribution on Filtration Efficiency.@Water Quality Research Journal of Environ. Eng. Div. ASCE. 104(5), 917- 998.@Yes$Ives, K. J (1990).@Testing of Filter media. Jour.@Water Supply Research and Technology- Aqua, 39(3), 144-151.@Yes
<#LINE#>Analysis of major defects and finding their root causes in a sewing section of a selected Garments factory in Bangladesh<#LINE#>Samad @M.A.,Chowdhury @P.P.,Rahi @A.A.,Hossain @M.M. <#LINE#>31-43<#LINE#>4.ISCA-RJEngS-2020-016.pdf<#LINE#>Department of Industrial and Production Engineering, Shahjalal University of Science and Technology, Sylhet, Bangladesh@Department of Industrial and Production Engineering, Shahjalal University of Science and Technology, Sylhet, Bangladesh@Department of Industrial and Production Engineering, Shahjalal University of Science and Technology, Sylhet, Bangladesh@Department of Industrial and Production Engineering, Shahjalal University of Science and Technology, Sylhet, Bangladesh<#LINE#>7/10/2020<#LINE#>19/12/2020<#LINE#>Bangladesh is in lead position in RMG industries. To ensure sustainable economic growth and compete in the global market, the industries should utilize their resources properly and minimize the defects rate to secure maximum defect free production. In this research, the defects in the sewing section of a RMG factory were identified and studied. Various lean and quality control tools such as Pareto analysis, 5 whys, check sheet etc. were used to find out the significant defect types among the many defect types and the root causes behind these defects. By performing Pareto analysis it was found that the 79% of total defects were happening due to 8 frequent defect types. The reasons that reduce productivity were isolated using cause and effect diagram and 5 whys. Questionnaires and observations were used in this research based upon brainstorming with the workers as well as management. This research recommended that workers efficiency was associated with proper workstation, supervision and training. Based on that, the recommendations for reducing defects were formed. For proposing the ergonomic workstation, necessary data were collected from the workers using anthropometric measurements. Findings of this research can be useful for the RMG factories upon future implementation.<#LINE#>Bangladesh Denim Expo (2019).@Bangladesh Ready-Made Garments Industry at a Glance.@http://www.bangladesh denimexpo.com/bangladesh/rmg-sector/. 20/10/2019@No$Ibrahim Hossain Ovi (2019).@RMG exports saw 8.76% growth last fiscal year.@https://www.dhakatribune.com/ business/2018/07/05/rmg-exports-saw-8-76-growth-last-fiscal-year. 20/10/2019@No$Asjadul Kibria (2019).@RMG sector: Minimum wage conundrum.@https://www.google.com/amp/s/thefinancialexpress.com.bd/views/analysis/rmg-sector-minimum-wage-conundrum-1532534075%3famp=true. 21/10/2019@No$Uddin M (2019).@Clothes that dont stain the environment.@https://www.dhakatribune.com/opinion/op-ed/2019/04/08/clothes-that-don-t-stain-the-environment@No$Shibly, M.A.H. and Rahman, M.M. (2018).@A study on marketing barriers to ready-made garment industry in Bangladesh.@Journal of Textile Engineering & Fashion Technology, 4 (1), 44-49@Yes$Khan S.R. (2020).@The story of waste fabric (Jhoot): Positioning Bangladesh.@https://www.textiletoday.com.bd/ the-story-of-waste-fabric-jhoot-positioning-bangladesh/ . 02/11/2020@No$Zaman, D.M. and Zerin, N.H. (2017).@Applying DMAIC Methodology to Reduce Defects of Sewing Section in RMG: A Case Study.@American Journal of Industrial and Business Management, 7, 1320-1329. https://doi.org/10. 4236/ajibm.2017.712093@Yes$Nurul Zunaidi (2019).@Quality management in H&M and its effect in its sale.@https://www.academia.edu/5553823/ Quality_management_in_H_and_M. 20/05/2019@No$Hashi, M.R. (2016).@Different Types of Defects Identification and Controlling Method for Quality and Productivity Improvement.@IOSR Journal of Polymer and Textile Engineering, 3(2), 01-18.@No$Helander, M. (2006).@A guide to human factors and ergonomics (2).@Taylor and Francis group.@Yes$Research Assignments (2019).@Slovin@https://prudencexd.weebly.com/. 17/08/ 2019@No$Molenbroek, J.F.M., Kroon-Ramaekers, Y.M.T., and Snijders, C.J. (2003).@Revision of the design of a standard for the dimensions of school furniture.@Ergonomics, 46(7), 681-694.  http://dx.doi.org/10.1080/0014013031000085635@Yes$Milanese, S. and Grimmer, K., (2004).@School furniture and the user population: an anthropometric perspective.@Ergonomics, 47(4), 416-426. http://dx.doi.org/ 10.1080/00 14013032000157841@Yes
@Research Article
<#LINE#>Detection of underwater weak zones of dam seepage, using remote operated vehicle-an emerging underwater technology<#LINE#>Birendra @Pratap,Hari @Dev <#LINE#>44-53<#LINE#>5.ISCA-RJEngS-2020-017.pdf<#LINE#>Department of Geophysics, Institute of Science, Banaras Hindu University, Varanasi-221005, Uttar Pradesh, India@Central Soil and Materials Research Station, New Delhi-110016, India<#LINE#>14/10/2020<#LINE#>26/12/2020<#LINE#>The detection of underwater weak zone of the dam seepage is an important aspect for the dam safety monitoring. In unconsolidated or weak zone when seepage velocities reach critical values, internal erosion takes places, as a result the affected areas collapse and weakening the foundation of the dam. The internal erosion is one of the main reasons for the dam failures. Therefore seepage detection plays an important role in the dam safety monitoring. The visual detection of underwater weak zones of upstream face of the dam surface is difficult by conventional methods. Therefore, there is a need for new or improved technology of underwater inspection and investigation. The advanced development of remote operated vehicle in the underwater robotic technology increasingly adopted as efficient and effective tools for underwater inspection, evaluation and investigation. Furthermore, the use of a remote operated vehicle for obtaining an easily and quickly visual image recorded of underwater damage structure along the upstream face of the dam. In this study remote operated vehicle was used for the assessment of underwater weak zones prone of seepage in the upstream face of Mullaperiyar dam, Kerala, India. The analysis of the results revealed water seepage through a certain locations of unconsolidated or weak zones are presents and development of openings on the underwater upstream face of the dam.<#LINE#>Anbazhagan P., Divyesh Rohit and Athul Prabhakaran (2016).@Investigations existing dam using integrated Geotechnical and Geophysical methods.@Second National Dam Safety Conference. Bengaluru, India, 12th-13th January. 1-6.@No$Chen, D.H. and Wimsatt, A. (2010).@Inspection and condition assessment using ground penetratingradar.@J. Geotech. Geoenviron. Eng., 136(1), 207-214.@Yes$Carlsten S., Johansson S. and Worman A. (1995).@Radar Techniques for Indicating Internal Erosion in Embankment Dams.@Journal of Applied Geophysics, 33, 143-156.@Yes$Johansson S.  and Dahlin T. (1996).@Seepage Monitoring in an Earth Embankment Dam by Repeated Resistivity Measurements.@European Journal of Engineering and Geophysics, 1, 229-247.@Yes$Johansson S. and Sjodahl P. (2004).@Downstream seepage detection using temperature measurements and visual inspection- monitoring experiences from Rosvatn field test dam and large embankment dams in Sweden.@Proceedings Stability and Breaching of Embankment Dams, Oslo, Norway.@Yes$Aal G. Z. A., Ismail A.M., Anderson N.L. and Atekwana, E.A. (2004).@Geophysical Investigation of Seepage from an Earth Fill Dam, Washington County.@MO. Journal of Applied Geophysics, 44, 167-180.@Yes$Aufleger M., Conrad, M., Perzlmaier, P. and Porras P. (2005).@Improving a fiber optics tool for monitoring leakage.@HRW, 13(4), 18-23.@Yes$PorrasJ. P. (2007).@Fiber optic temperature measurements Further development of the gradient method for leakage detection and localization in earthen structures.@TU München Berichtsheft Nr. 108.@No$Radzicki K. and Bonelli S. (2010).@Thermal Seepage Monitoring in the Earth Dams with Impulse Response Function Analysis Model.@in 8th ICOLD European Club Symposium.@Yes$Cuong B.Q., Yihong Z. and Chunju, Z. (2016).@Seepage Evaluation in Embankment Dam based on Short-term Temperature Observation and Heat Injection.@Electronic Journal of Geotechnical Engineering, 21(26), 10493-10506.@Yes$Neto E.C.,  SaR.C., Holanda G.C.,  F.A.X. da Mota, Varela A.T., Araujo, A.L.C., Loiola, I.J.,   Oliveira R.,  de Alexandria A.R.,  de Albuquerque V.H.C. (2014).@Autonomous Underwater Vehicle to Inspect Hydroelectric Dams.@International Journal of Computer Applications 101(11), 1-11.@Yes$Mohd Aliff, Noor Firdaus, Nasyuha Rosli, MI Yusof, Nor Samsiah and Shahrul Effendy (2019).@Remotely Operated Unmanned Underwater Vehicle for Inspection.@International Journal of Innovative Technology and Exploring Engineering, 9(2), 4644-4649. DOI:10.35940/ ijitee.B9050.129219.@Yes$Vinay Kumar (1999).@Use of Remote Operated Vehicle for Under Water Scanning of Upstream face of Dams and other Hydraulic Structures.@Training Course on Instrumentation in Hydraulic Structures of River Valley Projects, CSMRS, New Delhi, 91-95.@Yes$Kondoa H. and Ura T. (2004).@Navigation of an AUV for investigation of underwater structures.@Control Engineering Practice, 12, 1551-1559.@Yes$Nelsonand Erik J. (2008).@Investigation and Repair of a Leaking Earthfill Dam. International Conference on Case Histories in Geotechnical Engineering.@29. https:// scholarsmine.mst.edu/icchge/6icChge/session02/29.@Yes$Heffron R. E. (2015).@Use of submersible ROVs for the inspection and repair of hydroelectric station tunnels.@https://doi.org/10.1680/ps.15869.0030@Yes$Yasukazu Tsusaka, Hiroshi Ishidera and YuzuruItoh (1986).@MURS- 300 MK II: A Remote Inspection System for Underwater facilities of Hydraulic Power Plants.@IEEE Journal of Ocean Engineering, 2(3) 94-102.@Yes$Williams W., Ladd C.F., Douglas T.H., Johnson F.G., Johnston C.K. and Aitken, S.K. (1990).@Inspection of hydroelectric tunnels by remote operated vehicle.@Proc. Instn. Civ. Engrs, Part I, 88, 179-181. https://doi.org/10. 1680/iicep.10990.4668.@Yes$Cruz N., Matos A., Almeida R.M., Ferreira B.M. and Abreu N. (2011).@TriMARES - a hybrid AUV/ROV for dam inspection.@Oceans 11 MTS/IEEE Kona, IEEE, Waikoloa, HI, USA,1-6.@Yes$Alex Varughese, Hari Dev and Sohan Lal Gupta (2018).@Diagnostic Investigation of Hydro Electric Project Made Easy with Remote Operated Vehicle.@American Journal of Civil Engineering, 6(1), 1-4. DOI: 10.11648/j.ajce.201806 01.11.@Yes$Sudhir Kumar Chaturvedi, Sourav Basu and Saikat Banerjee (2020).@Gimbal orientation study and assessment for the autonomous underwater vehicles.@Journal of Ocean Engineering and Science, 5, 101-115.@Yes$Mohanakrishnam A. (1997).@History of the Periyar Dam with century long performance, Publication No. 257.@Central Board of Irrigation and Power, New Delhi.@Yes$Kazmi W., Ridao P., Ribas D. and Hernandez E. (2009).@Dam wall detection and tracking using a mechanically scanned imaging sonar.@IEEE International Conference on Robotics and Automation, IEEE, Kobe, Japan, 3595-3600.@Yes$Chia A. and Balash C. (2020).@Towards an improved intuitive interface for Remotely Operated Vehicles.@Journal of Ocean Engineering and Science, https://doi.org/ 10.1016/j.joes.2020.03.001.@Yes$Curz N., MadureiraL., Matos A. and Pereira F.L. (2001).@A versatile acoustic beacon for navigation and remote tracking of multiple underwater vehicle.@Proceeding of the MTS/IEEE Oceans 01 Honolulu, HI,U.S.A, November.@Yes$Eca Hytec (2005).@User Manual.@H 300 ROV, M/s Hytec Hydro Technologie 501 rue de la Croix de Lavit, Parc Euromedecine, 34197 Montpellier Cedex -5, France.@No
@Short Communication
<#LINE#>Human behavioral analysis using ECG and EEG<#LINE#>Trisha @Paul,Chaitali @Bhattacharyya,Susmita @Das <#LINE#>54-57<#LINE#>6.ISCA-RJEngS-2020-014.pdf<#LINE#>Electronics and Instrumentation Engg., Narula Institute of Technology, India@Electronics and Instrumentation Engg., Narula Institute of Technology, India@Electronics and Instrumentation Engg., Narula Institute of Technology, India<#LINE#>8/9/2020<#LINE#>23/11/2020<#LINE#>To improve human and machine interaction, detection of positive or negative emotions play the lead role. There are some basic human emotions like anger, disgust, fear, happiness, sadness and surprise. Some emotions are positive like happy and surprise (at some cases) and some emotions are negative like anger, sadness, disgust, fear. Here, EEG (Electroencephalography) and ECG (Electrocardiography) can be mainly analyzed to get better result to detect these emotions more than the usual face expression recognition where the subject can have control over. Another part of this work is ERP which is also known as event-related potential is a measured response of cognitive behaviour or any motor event. While moving any part of our body human brain is the main controller. Brain Computer Interface (BCI) is a device that allows brain to communicate with computational devices. In this paper, a database has been taken where the subject is a 21 years old, right handed male without any medical condition. The database is recorded while the subject was moving both of his hands and when the hands were in baseline. Here, the difference between the two tasks and the effects on the brain because of the motor movements will be discussed. Not only in Brain Computer Interface but also in medical field, analysis of behaviour using hand gestures can be the most effective matter of interest.<#LINE#>Chaitali Bhattacharyya, Trisha Paul, Susmita Das, Soutrik Karmakar and Shyam Sundar Banerjee (2020).@Approach of Mental State Analysis using EEG.@International Journal of Scientific and Research Publications, 10(2). DOI: http://dx.doi.org/10.29322/IJSRP.10.02.2020.p9805@Yes$Trisha Paul, Chaitali Bhattacharyya, Payosmi Sen, Riya Prasad, Suraj Shwa, Susmita Das (2020).@Human Emotion Recognition using GSR and EEG; International Journal of Scientific and Research Publications. 10(5). DOI: http://dx.doi.org/10.29322/IJSRP.10.05.2020.p10146@undefined@Yes$Sarah N. Abdulkader, Ayman Atia, Mostafa-Sami M. Mostafa (2015).@Brain Computer Interfaceing: Applications and Challenges.@Egpytian Informatics Journal,  16, 213-230@Yes$Peter T. Lin, Kartikeya Sharma, Tom Holroyd, Harsha Battapady, Ding-Yu Fie and Ou Bai (2012).@A High Performance MEG Based BCI Using Single Trail Detection of Human Movement Intertion.@Intech Open science. https://www.intechopen.com/@No$Chen, Jianhua, Mu, Xihui and Du, Fengpo (2017).@Biomechanics analysis of human lower limb during walking for exoskeleton design.@Journal of Vibro engineering, 19, 5527-5539. 10.21595/jve.2017.18459.@Yes$Bigdelou, A, Schwarz L and Navab N (2012).@An adaptive solution for intra-operative gesture-based human-machine interaction.@2012 ACM international conference on Intelligent User Interfaces, Lisbon, Portugal.@Yes$Andreoni G, Parini S, Maggi L., Piccini L., Panfili G, Torricelli A (2007).@Human Machine Interface for Healthcare and Rehabilitation; Advanced Computational Intelligence Paradigms in Healthcare-2.@Studies in Computational Intelligence, 65. Springer, Berlin, Heidelberg.@Yes$Biel B, Grill T and Gruhn V (2010).@Exploring the benefits of the combination of a software architecture analysis and a usability evaluation of a mobile application.@J. Syst. Software, 83(11), 2031-2044. https://doi.org/10. 1016/j.jss.2010.03.079.@Yes
@Case Study
<#LINE#>Value engineering in the construction sector in Egypt<#LINE#>Mohamed @Mousa,Wahbi @Albasyouni <#LINE#>58-61<#LINE#>7.ISCA-RJEngS-2020-018.pdf<#LINE#>The American University in Cairo, Cairo, Egypt@The American University in Cairo, Cairo, Egypt<#LINE#>27/10/2020<#LINE#>31/12/2020<#LINE#>Value engineering is considered a managing tool to accomplish the required function of a product, and service of the project while achieving the lowest cost possible. The concept developed dramatically during the past few years and became a major idea and evolution that could change the entire construction projects around the world. Then, most of those construction projects that seek to increase their value and function started to use value engineering and enhance the overall outcome and profits of the project. The idea became more familiar in Egypt as most construction projects developed this technique and seek a final improvement in the functions offered. This research aims to indicate these major value engineering elements and develop this idea on a real construction project that is located in Cairo. The case study of this research was a residential project located in Cairo where several construction elements were chosen to be the topic of this case study. The results of this analysis showed that the use of flat slab can be quite costly in the project, but at the same time can offer the required beautiful value needed and can be the best structural option available if compared to the elements. The other investigated method was the concrete pouring process which can be either the manual or the use of ready mix plant. It was indicated that the use of ready mix plant can be much easier and provide better quality control. The insulation technique and flooring were also investigated in order to determine the best alternative that could offer the needed value and at the same time can be less in cost.<#LINE#>Xueqing, Z. Xiaoming, M. Simaan, M. A. (2009).@Developing a knowledge management system for improved value engineering practices in the construction industry.@Automation in Construction., 18 (6), 777-789.@Yes$Ilayaraja, K. and Zafar E. (2015).@Value Engineering in Construction.@Indian Journal of Science and Technology, 8(32).@Yes$Swetha, S.  Smruthi, N.  R. and Aleem, M. (2016).@Application of Value Engineering in Building Construction.@Int. J. Adv. Res. Sci. Eng., 5(10), 253-267.@Yes