In this study comparison between electric tray drying, solar cabinet drying and open sun drying was done using drying kinetics of pineapple slices. A laboratory scale solar dryer was designed and fabricated with a capacity of 1kg, for electric tray drying a convective electric drying oven was used and for open sun drying a white tile with pineapple slices was placed in the open sun. Drying temperature, moisture content (MCwb), drying rate, drying ratio (MR) and effective moisture diffusivity (Deff) were the indicators used for comparisons. Four common convective drying mathematical models namely Newton, PAGE, Henderson & Pabis and the Logarithmic model were compared for goodness of fit. The PAGE model showed the highest correlation coefficient (R2) of 0.940032652. The Henderson & Page model had the lowest root mean square error (RMSE) of 0.018514552. Both models were used to estimate and compare the model constants a, c and n the empirical constants and k the drying constant. These values showed very little difference between solar drying and electric tray drying. Effective moisture diffusivity (Deff) was compared. Deff was 19 x 10-9 m2s-1, 1.5x10-9m2s-1 and 1.1x10-9 m2s-1 in tray, solar and sun drying respectively.
- Page(s): 01-09
- Date of Publication: 08 January 2017
- Wishmore GwalaDepartment of Food Processing Technology, School of Industrial Sciences, Harare Institute of Technology, Box BE 277 Belvedere, Harare, ZimbabweDepartment of Food Process Engineering, School of Bioengineering, Faculty of Engineering and Technology, SRM University (Kattankulathur) Chennai, India
- R. PadmavatiDepartment of Food Process Engineering, School of Bioengineering, Faculty of Engineering and Technology, SRM University (Kattankulathur) Chennai, India
References
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Wishmore Gwala1 and R. Padmavati "Comparative Study of Indirect Solar Drying, Electric Tray Drying and Open Sun Drying of Pineapple Slices Using Drying Kinetics and Drying Models" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.5 issue 12, pp.01-09 2016
Over the past years, it has been observed that clouds of trepidation and drops of growth are two important phenomena of the market, in order to overcome this situation marketing strategies plays an important role to increase the customer base for the banks. It provides the awareness to business customers about their products and services and explains the benefits of using their products and services so that they can deliver the best to their customers. For example a hotel chain that sources its raw material from a quality raw material supplier ensures that it will deliver good food and services to end user. The pre and post liberalization era in India has witnessed various environmental changes which directly affects the aforesaid phenomena. It is evident that post- liberalization era in India which in the middle of 1990-2000 has spread new colors of growth, but simultaneously it has also posed some challenges. As per the above discussion, we can say that the biggest challenge for the banking industry is to serve the mass and huge market of India. This paper attempts to present the impact of marketing strategies on customer preference of investments with banks. The findings of the study indicate the positive approach as the results arrived after data analysis revealed that there is a significant impact of marketing mix strategies on the sales growth. It indicates public sector banks equally offers all the modern banking services but only needs to generate more users through providing effective responses of customers dilemma through direct communication at the point of sales, which helps to better inform and educate the customers.
- Page(s): 10-25
- Date of Publication: 08 January 2017
- Dr. Sanjay SharmaAssistant Professor, IIMR Indore, India
- Dr. Sanjay SharmaGuest Faculty, GACC, Indore and Ex-Academic Associate, IIM, Indore, India
References
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(2005) “Cronbach’s Α, Revelle’s Β, And Mcdonald’sω H: Their Relations with Each Other and Two Alternative Conceptualizations of Reliability.” The Psychometric Societyvol.70, no.1, 123–133. Aaker, D.A (2002). “Managing assets and skills: the key to a sustainable competitive advantage”, California Management Review; pp.91-106 Andrews, 47, issue no.-3, page no.-12. [28]. Ansoff, H. I (1965). “Corporate Strategy (Revised edition)”, New York: McGraw-Hill. [29]. Borden, Neil. H. (1984). “The concept of marketing mix”, Journal of Advertising Research, 1 (9), 2-7. [30]. Colpan, A. M. (2006). Dynamic effects of product diversity, international scope and Keiretsu membership on the performance of Japan‟s textile firms in the 1990s. Asian Business and Management, 5(3), 419-445. [31]. Cowling, A. and Newman, K. (1995), “Banking on people”, Personnel Review, Vol. 24 No. 7, pp. 25-41. [32]. Dixit, V.C. (2004). Marketing Bank Products. IBA Bulletin, April’14, p.15. [33]. Doole, I., Grimes, T., and Demack, S. (2006). An exploration of the management practices and processes most closely associated with high levels of export capability in SEMs. [34]. H.C. Purohit & Avinash D. Parthardikar, March (2007), “Service Quality Measurement and Consumer Perception about the Services of Banking Institutions” - Indian Journal of Marketing, vol. 47, issue no.-3, page no.-12. [35]. Hakansson, Hakan & Alexandra Waluszewski (2005). Developing a new understanding of markets: reinterpreting the 4Ps. Journal of Business & Industrial Marketing, 20 (3), 10-117. [36]. International Monetary Fund (2001). ‘’Financial Sectors Consolidation in Emerging Markets,’’ in International Capital Market Report, ed. By Donal J. [37]. Kazem, A., and Heijden, B. V. D. (2006). Exporting firms‟ strategic choices: the case of Egyptian SEMs in the food industry.S.A.M. Advanced Management Journal, 71(3), 21-33. [38]. Kemppainen, K., Vepsäläinen, A. P. J., &Tinnilä, M. (2008). Mapping the structural properties of production process and product mix. International Journal of Production Economics, 111(2), 713-728. [39]. Kothari, C.R. (2004).Research Methodology, Methods & Techniques, 2nded.New Delhi. [40]. Kotler, P, and Armstrong, G. (2005).Principles of Marketing 11thEd, Pearson Education, Prentice Hall, Inc. London. [41]. McNaughton, R. B. (2002). The use of multiple export channels by small knowledge-intensive firms. International Marketing Review, 19(2), 190-203. [42]. Mohammad A.H, Wang A and Sunayya B (2012). Investigating on Tourists satisfaction: An empirical study on East Lake. European journal of business and management. Vol.4 No.7 [43]. Nunnally, J.C. (1978).Psychometric theory (2nd edition).New York: McGraw-Hill, 245. [44]. Ogunmokun, G. O., and Esther, L. L. (2004). Product development process and performance of export ventures: a study of exporting companies in the People‟s Republic of China. Journal of Asia Pacific Marketing, 3(2), 84-98. [45]. Owomoyela S.K, Oyeniyi K.O and Ola O.S, (2013).Investigating the impact of marketing mix elements on consumer loyalty: An empirical study on Nigerian Breweries Plc. Interdisciplinary Journal of Contemporary Research in Business. 4 (11), 485 –496. [46]. Shil, N. C., and Das, B. (2008).A Study of Customer Satisfaction with Regard to Banking: An Application of QFD, The ICFAIAN Journal of Management Research, Vol. 7, No. 8, pp. 7-26. [47]. Zeithaml, V.A. (1988) Consumer Perceptions of Price, Quality and Value: A Means-end Model and Synthesis of Evidence, Journal of Marketing, Vol 52 (July), pp. 2-22.
Dr. Sanjay Sharma, Dr. Priyanka Sharma "A Study on the Impact of Marketing Strategies on Customer’s Preferences of Investments with the Banks in Indore City" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.5 issue 12, pp.10-25 2016
We develop a novel technique for resizable Hadoop cluster’s lower bounds, the bipartite matching rectangular array of ridge regression XML tree regular expressions. Specifically, fix an arbitrary hybrid kernel function f:{0,1}n ->{0,1} and let Af be the rectangular array of ridge regression XML tree regular expressions whose columns are each an application of f to some subset of the variables x1, x2,... x4n. We prove that Af has bounded-capacity resizable Hadoop cluster’s complexity omega(d) , where d is the approximate degree of f . This finding remains valid in the Declarative MapReduce programming model, regardless of prior measurement. In particular, it gives a new and simple proof of lower bounds for robustness and other symmetric conjunctive predicates. We further characterize the discrepancy, approximate PageRank, and approximate trace distance norm of Af in terms of well-studied analytic properties of f, broadly generalizing several findings on small-bias resizable Hadoop cluster and agnostic inference. The method of this paper has also enabled important progress in multi-cloud resizable Hadoop cluster’s complexity.
- Page(s): 26-45
- Date of Publication: 08 January 2017
- Ravi (Ravinder) Prakash GSenior Professor Research, BMS Institute of Technology & Management, Dodaballapur Road, Avalahalli Yelahanka, Bengaluru – 560 064, India
References
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Ravi (Ravinder) Prakash G "Necessary and Sufficient Conditions for Consistency of Ridge Regression XML Tree Regular Expressions to their Resizable Hadoop Cluster Complexity" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.5 issue 12, pp.26-45 2016
In the past years, human factor (ergonomics) has assumed a point of crucial importance in engineering, design, development, service and maintenance sectors of industrial products. Nevertheless, in the automotive segment companies are focusing more and more on driver and passengers comfort to cater the expectations of customers, beat the immense competition and reach & extend different market segments. This paper emphasizes the introduction and combination of virtual ergonomics review along with the Digital Mock-Up (DMU) review process followed in automotive industry. In this paper, we have reviewed the ergonomic aspects of an automobile digitally during the conceptuation and digital development phases of product cycle. A comparative case study has been conducted at the Tata Motors Ltd. Lucknow manufacturing facility to compare the digital and physical ways of reviewing the ergonomic aspects of driver seat, ABC pedal position, GSL position & steering wheel position. The paper finally concludes the implementation and combination of digital ergonomic review with the digital product development reviews. .
- Page(s): 46-51
- Date of Publication: 08 January 2017
- Er. Vinay Kumar SinghTata Technologies Ltd., Lucknow, India
- Dr. M K AryaInstitute of Management Studies, Devi Ahilya University, Indore, India
- Er Rahul KumarTata Technologies Ltd., Jamshedpur, India
[1]. Borner, C. J., Hoormann, H. J., Rizor, H. G., Hütter, G., Kraus, W., Bigalke, S., ... & Küchmeister, G. (2006). Driver’s workplace in motor coaches. 91st session, 17-20. [2]. Fireman, J., & Lesinski, N. (2009). Virtual Ergonomics: Taking human factors into account for improved product and process. Dassault Systèmes Delmia Corp. [3]. IS 13749: Automotive vehicles - Procedure for determining the 'H' point and the torso angle for 50th percentile adult male in seating positions of motor vehicles [4]. ISO 16121-1:2012, Road vehicles -- Ergonomic requirements for the driver's workplace in line-service buses -- Part 1: General description, basic requirements [5]. ISO 16121-2:2011, Road vehicles -- Ergonomic requirements for the driver's workplace in line-service buses -- Part 2: Visibility [6]. ISO 16121-3:2011, Road vehicles -- Ergonomic requirements for the driver's workplace in line-service buses -- Part 3: Information devices and controls [7]. ISO 16121-4:2011, Road vehicles -- Ergonomic requirements for the driver's workplace in line-service buses -- Part 4: Cabin environment [8]. Singh, S., Singh, J., & Kalra, P. Ergonomic evaluation of Ingress/Egress of vehicle using balance assessment approach [9]. Monacelli, G., & Elasis, S. C. P. (2003). VR Applications for reducing time and cost of Vehicle Development Process. [10]. Norazam, J. (2008). Computer Aided Ergonomics Design Analysis In Automotive Application. [11]. Van der Meulen, P., & Seidl, A. (2007). Ramsis–the leading cad tool for ergonomic analysis of vehicles. In Digital Human Modeling (pp. 1008-1017). Springer Berlin Heidelberg.
Er. Vinay Kumar Singh, Dr. M K Arya, Er Rahul Kumar "Ergonomics: An Implementation & Combination with Digital Product Development" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.5 issue 12, pp.46-51 2016
Demonetization is the process in which a particular currency or valuable mineral is degraded as a legal tender. This happens when a certain currency is no longer in regular use within the country of origin, or when a newer currency comes into circulation. The latest demonetisation, in India was the suddenly announcement by Prime Minister of India on 8th November at 8.30 p.m. that ` 500 and `1,000 notes would not be legal tender from midnight of 8th November 2016. The announcement was made much after banking hours thus giving no body a chance for any foul play. The Reserve Bank of India (RBI) data suggests that the proportion of `500 and `1000 notes were 86.4% of total value of notes in circulation on March 31, 2016, amounting to `14 trillion. A lot of this money was also considered to be fake money pumped into the economy to fund terrorist activities. At the stroke of midnight of 8th November 2016, India lost 86.4% of its monetary base. In this single move, the Government has attempted to tackle all the three issues affecting the economy i.e. a parallel economy, counterfeit currency in circulation and terror financing. The Governments move to introduce the ` 2000/- in new currency to ease the money shortfall has not helped because small buyer have been left with a big currency that nobody wanted to exchange. Those who had cash are using it prudently and only if is absolutely necessary because they did not want to go through the ordeal of standing in long queues at banks for cash withdrawals. This has lead to a lot of hardship to small traders who do not have large holding capacities and need to sell per day to meet their family needs. The study aims to understand the impacts of demonetisation on the small and marginal traders and the change that has arisen in their daily business and innovative ideas that they have undertaken to overcome this problem. .
- Page(s): 52-58
- Date of Publication: 08 January 2017
- Dr. Ritu BhattacharyyaPrincipal, SASMIRA’s Institute on Commerce & Science (SICS), Worli, Mumbai, India
- Sampurna Nand Mehta(PhD Scholar, University of Mumbai), Registrar, SASMIRA’s Institute on Commerce & Science (SICS), Worli, Mumbai , India
References
[1]. Hindustan Times Nov 17, 2016 [2]. Economic Times Nov 17, 2016 [3]. The Hindu Nov 9,2016 [4]. Demonetization in India: Who Will Pay the Price?- Knowledge @Wharton .
Dr. Ritu Bhattacharyya, Sampurna Nand Mehta, "Demonetisation –Worst Effected the Small Traders" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.5 issue 12, pp.52-58 2016
The Monetary Policy makes use of various instruments like Cash Reserve Ratio (CRR), Statutory Liquidity Ratio (SLR), Repo Rate, Reverse Repo Rate and Bank rate to control the money supply of the country. Nifty 50 & Sectoral indices volatility is influenced by the monetary policy of RBI. The monetary policy may have a favorable or adverse impact on the stock market. Any changes in the monetary policy has a direct impact on stock market returns and overall economy of the nation. The stock price tends to fluctuate before and after the monetary policy is announced. It is important to understand the effect of selected monetary instruments changes on Nifty 50 & sectoral indices. This study aims to understand whether the monetary policy and stock markets move hand in hand or in opposite directions and which sector is highly influenced by the monetary policy. The study revealed that majority of the variations in Nifty 50 & sectoral indices are explained jointly by variations in monetary tools and has a strong linear relationship. There exists a moderate linear relationship between changes is the monetary policy tools and Nifty Energy movement. Majority of the variations in Nifty Energy are unexplained jointly by variations in monetary tools. It is observed that the changes in the monetary policy tools effected the Nifty 50 movement in the long term. In the short term no significant difference is observed in Nifty 50 movement.
- Page(s): 59-69
- Date of Publication: 08 January 2017
- Prof. Mrityunjaya B Chavannavar Assistant Professor, Chetan Business School, Hubli, India
- Dr. S. C. Patil Associate Professor, Dept. of Management Studies, RCU Belagavi, India
- Melita Simoes MBA Final Year, Chetan Business School, Hubli, India
[1]. Aabha Singhvi, Impact of Union budget on NIFTY, Pacific Business Review International, Volume 6, Issue 12, June 2014, pp 23-28. [2]. Amaresh Samantaraya, An Index to Assess the Stance of Monetary Policy in India in the Post-Reform Period, Economic & Political weekly, May 16, 2009 vol xLiv no 20, pp 46-50. [3]. Anamika Singh, A Study of Monetary Policy Impact on Stock Market Returns, IRJA-Indian Research Journal, Volume: 1, Series: 5. Issue: October, 2014. [4]. Christos Ioannidis, Alexandros Kontonikas, The Impact of Monetary Policy on Stock Prices, Sep 2006, pp 1-25. [5]. G. S. Gupta, A Monetary Policy Model for India, The Indian Journal of Statistics, Series B (1960-2002),Vol. 35, No. 4 (Dec., 1973), pp. 485-514. [6]. K.Raviteja, Mandarapu Tejaswi, Bandla Madhavi, G.Ujwala, Cash Reserve Ratio Impact On Stock Market (India) In Long Run, International Journal of Marketing, Financial Services & Management Research, Vol.2, No. 8, August (2013), pp 85-93. [7]. Md. Mahmudul Alam, Md. Gazi Salah Uddin, Relationship between Interest Rate and Stock Price: Empirical Evidence from Developed and Developing Countries, International Journal of Busines & Management, Vol 4, No 3, March 2009, pp 43-51. [8]. Shahid Ahmed, Aggregate Economic Variables and Stock Markets in India, International Research Journal of Finance and Economics, Issue 14 (2008), pp 141-163. [9]. Sherman J. Maisel, The Effects of Monetary Policy on Expenditures in Specific Sectors of the Economy, Journal of Political Economy, Vol. 76, No. 4, Part 2: Issues in Monetary Research, 1967 (Jul. - Aug., 1968), pp. 796-814. [10]. Tolulope & Oyeyinka, The impact of inflation on financial sector performance: A case study of sub-saharan Africa, Indian Journal of Finance, Vol 8, No 1, Jan 2014. [11]. www.nseindia.com , [12]. www.rbi.org.in
Prof. Mrityunjaya B Chavannavar, Dr. S. C. Patil, Melita Simoes "Monetary Policy Effect on Nifty 50 and Sectoral Indices – A Study from Indian Stock Markets" International Journal of Latest Technology in Engineering,Management & Applied Science-IJLTEMAS vol.5 issue 12, pp.59-69 2016
Removal of dyes from the water is hot cake in the science world. Different methods have been employed for the satisfactory removal of dyes. Current methods for their removal largely rely on adsorption techniques which are costly and produce another waste to be disposed off, whereas the concept of reverse micelles acting to encapsulate the dye in aqueous micro pool in solvent environment provides a useful chemistry. The removal of the direct dye DG-6 from aqueous phase in amyl alcohol solvent using cationic surfactants was studied. Experiments were conducted by mixing a known quantity of dye in aqueous phase and solvent-containing surfactants in a simple mixer. The separation of solvent phase, containing encapsulated dye in reverse micelles, from aqueous phase due to gravity results in separation of dye from water. The effect of dye and surfactant concentration, pH, solvent, salts like KCl and MgCl2 were studied. The percentage removal of dye depends upon the size of the reverse micelle of the surfactant. The solvent used for the dye removal can be recovered by distillation method and can be reused.
- Page(s): 70-76
- Date of Publication: 08 January 2017
- Charanjeet Kaur MangatDepartment of Chemistry, School of Basic & Applied Sciences, RIMT University, India.
- Satindar KaurDepartment of Chemistry, School of Basic & Applied Sciences, RIMT University, India.
- Kamal DhimanDepartment of Chemistry, School of Basic & Applied Sciences, RIMT University, India.
- Amandeep KaurDepartment of Chemistry, School of Basic & Applied Sciences, RIMT University, India.
- Anjali ChanniDepartment of Chemistry, School of Basic & Applied Sciences, RIMT University, India.
References
[1]. Mathur N, Bhatnagr P (2007) Mutagenicity assessment of textile dyes from Sanganer (Rajasthan). Journal of Environmental Biology 28 (1):123-126. [2]. Robinson T, McMullan G, Marchant R, Nigam P (2001) Remediation of dyes in textile effluent: a critical review on current treatment technologies with a proposed alternative. Journal of Bioresource Technology 77:247 – 255. [3]. Pagga UM, Taeger K (1994) Development of a method for adsorption of dyestuffs on activated sludge. Water Resource 28:1051-1057. [4]. Anliker I, Clarke EA, Moser P (1981) Use of Partition Coefficient as an Indicator of Bioaccumulation Tendency of Dyestuffs in Fish. Chemosphere 10:263-274. [5]. Arslan I, Balcioglu IA (1999) Degradation of commercial reactive dyestuffs by heterogenous and homogenous advanced oxidation processes: a comparative study. Dyes Pigm. 43:95–108. [6]. Xu XR, Li HB, Wang WH, Gu JD (2005) Decolorization of dyes and textile wastewater by potassium permanganate. Chemosphere 59:893–898. [7]. Clarke CE, Kielar F, Talbot HF, Johnson KL (2010) Oxidative decolorization of acidazo dyes by a Mn oxide containing waste. Environ. Sci. Technol. 44:1116–1122. [8]. Khraisheh MAM, Al-Ghouti MA, Allen SJ, Ahmad MN (2005) Effect of OH and silanol groups in the removal of dyes from aqueous solution using diatomite. Water Res., 39:922–932. [9]. Roulia M, Vassiliadis AA (2005) Interactions between C.I. Basic Blue 41 and aluminosilicate sorbents. J. Colloid Interface Sci. 291:37–44. [10]. Barka N, Assabbane A, Nounah A, Laanab L, Ichou YA (2009) Removal of textile dyes from aqueous solutions by natural phosphate as a new adsorbent. Desalination 235:264–275. [11]. Karadag D, Akgul E, Tok S, Erturk F, Kaya MA, Turan M (2007) Basic and reactive dye removal using natural and modified zeolites. J. Chem. Eng. Data 52:2436–2441. [12]. Golob V, Vinder A, Simonic M (2005) Efficiency of the coagulation/ flocculation method for the treatment of dyebath effluents. Dyes Pigm. 67:93–97. [13]. Sostar-Turk S, Simonic M, Petrinic I (2005) Wastewater treatment after reactive printing. Dyes Pigm. 64:147–152. [14]. Alinsafi A, Khemis M, Pons MN, Leclerc JP, Yaacoubi A, Benhammou A, Nejmeddine A (2005) Electro-coagulation of reactive textile dyes and textile wastewater. Chem. Eng. Process. 44:461–470. [15]. Daneshvar N, Khataee AR, Djafarzadeh N (2006) The use of artificial neural networks (ANN) for modeling of decolorization of textile dye solution containing C. I. Basic Yellow 28 by electrocoagulation process. J. Hazard. Mater B 137:1788–1795. [16]. Kashefialast M, Khosravi M, Marandi R, Seyyedi K (2006) Treatment of dye solution containing colored index acid yellow 36 by electrocoagulation using iron electrode. Intr. J. Environ. Sci. Technol. 4:365-371. [17]. Jain R, Sharma N, Bhargava M (2004) Electrochemical treatment of effluents from textile and dyeing industry. J. Scientific Industrial Research 63:405-409. [18]. Hachem C, Bocquillon F, Zahraa O, Bouchy M (2001) Decolourization of textile industry wastewater by the photocatalytic degradation process. Dyes Pigm. 49:117–125. [19]. Zhang H, Chen D, Lv X, Wang Y, Chang H, Li J (2010) Energy efficient photodegradation of azo dyes with TiO2 nanoparticles based on photoisomerization and alternate UV-visible light. Environ. Sci. Technol. 44:1107–1111. [20]. Vinodgopal K, Peller J, Makogon O, Kamat PV (1998) Ultrasonic mineralization of a reactive textile azo dye, remazol black B. Water Res. 32:3646–3650. [21]. Vajnhandl S, Majcen A, Marechal L (2005) Ultrasound in textile dyeing and the decolouration/mineralization of textile dyes. Dyes Pigm. 65:89–101. [22]. Kumar A, Choudhary P, Verma P (2011) A comparative study on treatment methods of textile dye effluents. Global Journal of Enviornmental research 5:46-52. [23]. Ahmet B, Ayfer Y, Doris L, Nese N, Antonius K (2003) Ozonation of high strength segregated effluents from a woollen textile dyeing and finishing plant. Dyes and Pigments 58:93-98. [24]. Pandit P, Basu S (2002) Removal of Organic Dyes from Water by Liquid–Liquid Extraction Using Reverse Micelles. J. Colloid Interface and Sci. 245:208-214. [25]. Pandit P, Basu S (2004) Removal of Ionic Dyes from Water by Solvent Extraction Using Reverse Micelles. Environ. Sci. Technology 38:2435-2442. [26]. Dungan SR, Bausch T, Hatton TA, Plucinski P, Nitsch W (1991) Interfacial Transport Processes in the Reversed Micellar Extraction of Proteins. J. Colloid Interface Sci. 145:33–50. [27]. Lye GJ, Asenjo JA, Pyle DL (1994) Protein Extraction using Reverse Micelles- kinetics of Protein Partitioning. Chem. Eng. Sci. 49:3195–3204. [28]. Abbott NL, Hatton TA (1988) Liquid Liquid Extraction for Protein Separations. Chem. Eng. Prog. 31–41. [29]. Nishiki T, Sato I, Katoaka T, Kato D (1993) Partitioning Behaviour and Enrichment of Proteins with Reversed Micellar Extraction: I. Forward Extraction of Proteins from aqueous to Reversed Micellar phase. Biotechnol. Bioeng. 42:596–600. [30]. Rabie HR, Vera JH (1996) 'Extraction of Zwitterionic Amino acids with Reverse micelles in the presence of Different Ions. Ind. Eng. Chem. Res. 35:3665–3672. [31]. Dekker M, van’t Riet K, Bijsterbosch BH, Wolbert RBG, Hilhorst R (1989) Modeling and Optimization of the Reversed Micellar Extraction of α-amylase. AIChE J. 35(2):321–324. [32]. Krei GA, Hustedt H (1992) Extraction of Enzymes by Reverse Micelles. Chem. Eng. Sci. 47: 99–111. [33]. Badani A, Singh S (2009) Novel Gemini Pyridinium Surfactants: Synthesis and Study of Their Surface Activity, DNA Binding, and Cytotoxicity. Langmuir 25(19):11703–11712. [34]. Mangat CK, Kaur S (2013) Efficient removal and separation of anionic dyes from aqueous medium by the application of reverse micelles of cationic surfactants. Desalination and Water Treatment, doi: 10.1080/19443994.2013.803656, (2013) 1–9 .
Charanjeet Kaur Mangat, Satindar Kaur, Kamal Dhiman, Amandeep Kaur, Anjali Channi "Extraction of Hazardous Direct Green b Dye with Application of Reverse Micelles of Gemini Surfactants" International Journal of Latest Technology in Engineering,Management & Applied Science-IJLTEMAS vol.5 issue 12, pp.70-76 2016
The discrete tomography is used in place of continues tomography if the number of projections is small. But reduction in the number of projections will increase the number of solutions. So some a priori information about the object geometry is needed to reduce the number of solutions. This a priori information is called constraints. One of these constraints is that object geometry is convex in shape. If the number of projections is more than two, then image reconstruction problem is not solved in polynomial time. Particle Swarm Optimization is the technique to optimize the solution if it is not solved in polynomial time.
- Page(s): 77-80
- Date of Publication: 08 January 2017
- Dr. Narender KumarDepartment of Computer Science and Engineering, HNB Garhwal University Srinagar Garhwal, Uttrakhand, India
References
[1]. Kak, A.C., Slaney, M (1988): Principles of Computerized Tomographic Imaging, IEEE Press New York . [2]. A. Kuba and G.T.Herma (1999) : Discrete Tomography: Foundations, Algorithms and Applications, Birkhauser, Bosten. [3]. Hadamard, Jacques (1923): Lectures on Cauchy's Problem in Linear Partial Differential Equations, Dover Publications . [4]. Alberto Del Lungo, Andrea Frosini, Maurice Nivat and Laurent Vuillon (2002): Discrete Tomography: Reconstruction under Periodicity Constraints, Lecture Notes in Computer Science. [5]. A. Del Lungo, A. Frosini, M. Nivat and L. Vuillon (2002) : Discrete Tomography: Reconstruction under Periodicity Constraints, Lecture Notes in Computer Science 38-56. [6]. F. Jarray, M. Costa and C. Picouleau (2008) :, Approximating hv-convex binary matrix and images from discrete projection Constraints, Lecture Notes in Computer Science (2008) 413-422. [7]. F. Jarray and G. Tlig (2010), A simulated annealing for reconstructing hv-convex binary matrix , Electronic notes in Discrete Mathematics 33, 447-454. [8]. E. Barcucci, A. Del Lungo, M. Nivat and R. Pinzani (1996) : Reconstructing convex polyominoes from their horizontal and vertical projections, Theoretical Computer Science 155, 321-347. [9]. S. Brunetti and A. Daurat,(2003) : An algorithm reconstructing convex lattice sets, Theoretical Computer Science 304 , 35-57. [10]. M. Chrobak and C. Dürr (1999): Reconstructing hv-convex polyominoes from orthogonal projections, Information Processing Letter 69, 283-289. [11]. H.J. Ryser, (1957) combinatorial properties of matrices of zero and ones, Canadian Journal of Mathematics 9, 371-377. [12]. D. Gale, (1957): A theorem on flows in networks, Pacific Journal of Mathematics. 7, 1073-1082 [13]. S.K. Chang, (1971) : The reconstruction of binary patterns from their projections, Communications of the ACM 14, 21–25 [14]. Kennedy, J., Eberhart, R.C. (1995). Particle swarm optimization. in: IEEE International Conference on Neural Network, Perth, Australia, pp. 1942–1948 [15]. Clerc, M.,Kennedy, J. (2002). The particle swarm-explosion, stability and convergence in a multidimensional complex space. IEEE Transactions on Evolutionary Computation 6 : 58–73 [16]. Narender Kumar, Tanuja Srivastava (2011): A PSO Based Approach to Image Reconstruction from Projections . International Journal of Tomography and Statistics Volume 17, Number S11, 29-38
Dr. Narender Kumar "Particle Swarm Optimization Algorithm for Reconstruction of hv-Convex Binary Images" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.5 issue 12, pp.77-80 2016
This paper analyzes the dynamic nature of weather based risk management tool. The Purpose of this paper is to present weather insurance as a non-catastrophic whether risk management tool, empirically demonstrate the process of designing it and assess their effectiveness as a risk management tools. The weather based farm risk market in India is the world’s largest, having transitioned from small-scale and scattered pilots to a large-scale weather based crop insurance program covering more than 9 million farmers. This paper provides a critical overview of this market, including a review of indices used for insurance purposes and a description and analysis of common approaches to design. Products should be designed based on sound agronomic principles and further investments are needed both in quantifying the level of basis risk in existing products, and developing enhanced products with lower basis risk. In addition to pure weather based products, hybrid products that combine both area yield and weather indices seem promising, with the potential to combine the strengths of the individual indices. The market structure for weather based crop insurance could better reward long-term development of improved product designs through product standardization, longer term contracts, or separating the roles of product design and delivery. This article is mainly focused on a Whether Based Crop Insurance.
- Page(s): 81-88
- Date of Publication: 08 January 2017
- Dr. Arvind RathodAssistant Professor, College of Agriculture, Navsari Agricultural University, Waghai (The Dangs) Gujarat-394730 (India)
- Prof. Amit LathiyaAssistant Professor, College of Agriculture, Navsari Agricultural University, Waghai (The Dangs) Gujarat-394730 (India)
- Prof. Kuldeep ChoudharyAssistant Professor, Office of the Registrar, Navsari Agricultural University, Navsari Gujarat-394730 (India)
References
[1]. Clarke, D.J., O. Mahul and N. Verma, 2011. “Index Based Crop Insurance Product Design and Ratemaking: The case of the modified NAIS in India,” World Bank, mimeo. [2]. Giné, X., H.B. Lilleor, R.M. Townsend, and J. Vickery, 2005. “Weather Insurance in Semi-arid India,” Paper presented at the Annual Bank Conference on Development Economics, May 23-24, Amsterdam. [3]. Government of India. 2011. “Report on Impact Evaluation of Pilot Weather Based Crop Insurance Scheme (WBCIS)”, Ministry of Agiculture, New Delhi, January. [4]. Mahul, O., N. Verma, and D.J. Clarke, 2011. “Improving famers’ access to agricultural insurance in India,” World Bank, mimeo. [5]. Ministry of Agriculture, 2010. “Pilot Weather Based Crop Insurance Scheme (WBCIS)”, Government of India. [6]. Rao, Kolli N., 2011. “Weather Index Insurance: Is it the Right Model for Providing Insurance to Crops?” ASCI Journal of Management, 41(1): 86-101. [7]. D. J. Clarke, Mahul,O Rao, Kolli N, N. Verma,2012. Weather Based Crop Insurance in India.
Dr. Arvind Rathod, Prof. Amit Lathiya, Prof. Kuldeep Choudhary "Weather Based Risk Management Tool to Mitigate the Farming Risk in India" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.5 issue 12, pp.81-88 2016
Stress is experienced by everybody in today’s fast changing life, amidst modernization and globalization. There can be no individual with absence of the problem in real terms. It is omnipresent in every day’s life of a person, irrespective of his or her position, status, occupation, credentials, etc. Nonetheless, the level and kind of stress constantly varies. All human beings do not possess the same or uniform degree of stress or similar class of pressure. It definitely varies. Many a times, stress or anxiety depends on several factors such as occupation, family environment, friends, relatives, personal etc. However it can be also minimized to the extent that the productivity and health of the employee is maintained which could lead to a productive organization. The researcher made a modest effort to interact with employees of IT sector employees of different levels in order to find under what circumstances they feel stress and what are the factors influencing them to feel stress. .
- Page(s): 89-93
- Date of Publication: 08 January 2017
- Dr. K .Srinivasa KrishnaProfessor, Aditya Global Business School, Andhra Pradesh, India
- Y.S.N.MurthyAssistant Professor, Aditya Global Business School, Andhra Pradesh, India
References
[1]. PSS.Kumar ,Dr.Anukranthi Sharma and Dr.K. Srinivasa Krishana [2]. “O mind Relax Please, Sukhbodhananada reviews [3]. A great teaching, simply presented. It's practical, wise, and truly valuable for a healthy life. by “Jack Kornfield”, Ph.D., author of A Path with Heart [4]. Cooper C.L., Cooper R.D., Eaker L.H. (1987) Living with Stress, Penguin. Cooper [5]. C.L. (1995) Handbook of Stress Medicine and Health, CRC Press.
Dr. K .Srinivasa Krishna, Y.S.N.Murthy "Erraticism of Stress on Employees at Work Place -An Empirical Study (With Reference to It Organization, Bangalore) " International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.5 issue 12, pp.89-93 2016
Andrews derived generating function for the number of smallest parts of partitions of positive integer n. Hanumareddy and Manjusri [5] derived generating function for the number of smallest parts of partitions of n by using r-partitions of n. In this chapter we defined the partitions of n with smallest parts of the form ak-1 where a, k are natural numbers, defined as Ga Partitions of n. In this chapter we derive generating function for Gaspt(n) by using r-Ga Partitions of n. We also derive generating function for sum Gaspt(n) .
- Page(s): 94-98
- Date of Publication: 08 January 2017
- Dr. K. HanumareddyDepartment of Mathematics, Hindu College, Acharya Nagarjuna University, Guntur (Dt)., India
- Gudimella V R K SagarL/Mathematics, Govt.Polytechnic, Ponnur, Guntur (Dt)., India
References
[1]. S.Ahlgren, K.Bringmann, J.Lovejoy.l-adic properties of smallest parts functions. Adv.Math., 228(1): 629-645, 2011. [2]. G. E. Andrews, The theory of partitions. [3]. G. E. Andrews, The number of smallest parts in the partitions of n. J.Reine Angew.Math.624:133-142,2008. [4]. K.Bringmann, J.Lovejoy and R.Osburn. Automorphic properties of generating functions for generalized rank moments and Durfee symbols. Int.Math.Res.Not.IMRN,(2):238-260,2010 [5]. K.Hanumareddy, A.Manjusri The number of smallest parts of partitions of n. IJITE.,Vol.03,Issue-03,(March 2015), ISSN:2321-1776
Dr. K. Hanumareddy, Gudimella V R K Sagar "A Note on Ga Partitions of n" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.5 issue 12, pp.94-98 2016
Obtaining recommendations from trusted sources is a critical component of the natural process of human decision making. Social media systems allow users to share resources with the people connected to them. In order to handle the fast growth of the content in these systems and of the increasing amount of users, recommender systems have been introduced. A form of social media, known as Social Bookmarking System, allows to share bookmarks in a social media. It also allows users to use tags (keywords) to describe resources that are of interest for them, helping to organize and share these resources with other users in the network. By analyzing users with a similar behavior (i.e. users who have a large amount of tags and bookmarks in common), accurate friend recommendations can be produced that are both novel and serendipitous.
- Page(s): 99-102
- Date of Publication: 08 January 2017
- Hiral R. PatelPG Scholar, Information Technology Department, L. D. College of Engineering, Ahmedabad, Gujarat-India
- Shital A. SolankiAssistant Professor, Information Technology Department, L. D. College of Engineering, Ahmedabad, Gujarat-India
References
[1] Matteo Manca, Ludovico Boratto, Salvatore Carta, “Behavioral data mining to produce novel and serendipitous friend recommendations in a social bookmarking system“, Springer US 2015. [2] Matteo Manca, Ludovico Boratto, Salvatore Carta, “Friend Recommendation in a Social Bookmarking System: Design and Architecture Guidelines”, Springer 2015. [3] Yu-Shian Chiu, Kuei-Hong Lin, Jia-Sin Chen, “A Social Network-based Serendipity Recommender System”, International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) 2011. [4] Feilong Chen, Jerry Scripps, Pang-Ning Tan, “Link Mining for a Social Bookmarking Web Site”, IEEE 2008. [5] Matteo Manca, Ludovico Boratto and Salvatore Carta, “Mining User Behavior in a Social Bookmarking System: A Delicious Friend Recommender System“, Third International Conference on Data Management Technologies and Applications DATA 2014. [6] R. Mehul, "Discrete Wavelet Transform Based Multiple Watermarking Scheme", in Proceedings of the 2003 IEEE TENCON, pp. 935-938, 2003. [7] Peyman Nasirifard, Sheila Kinsella, Krystian Samp and Stefan Decker, “Social People-Tagging vs. Social Bookmark-Tagging”, Springer Berlin Heidelberg 2010, pp 150-162. [8] Ido Guy, Inbal Ronen, Eric Wilcox, “Do You Know? Recommending People to Invite into Your Social Network”, Proceedings of the 13th international conference on Intelligent user interfaces ACM USA 2009. [9] Matteo Manca, Ludovico Boratto, Salvatore Carta, “Producing Friend Recommendations in a Social Bookmarking System by Mining Users Content”, IARIA 2013. [10] Song Chen, Samuel Owusu, Lina Zhou, “Social Network Based Recommendation Systems: A Short Survey”, IEEE 2014. [11] Pierpaolo Basile, Domenico Gendarmi, Filippo Lanubile, Giovanni Semeraro, “Recommending Smart Tags in a Social Bookmarking System”, 'Bridging the Gap between Semantic Web and Web 2.0 (SemNet 2007)‘, pp. 22-29. [12] Harith Alani, Christian Bauckhage, Christian Bizer, Ciro Cattuto, Alexander Lser, Nicolas Maisonneauve, Peter Mika, Ian Mulvany, Alexandre Passant, “Mining for Social Serendipity”, Dagstuhl Seminar Proceedings: Social Web Communities 2008. [13] B. Smyth and P. McClave, “Similarity vs. diversity,” in Case-Based Reasoning Research and Development. Springer, 2001, pp. 347–361. [14] Matteo Manca, Ludovico Boratto and Salvatore Carta, “Using Behavioral Data Mining to Produce Friend Recommendations in a Social Bookmarking System”, Springer 2015. [15] John Riedl, “Research Challenges in Recommender Systems”, Tutorial sessions Recommender Systems Conference ACM RecSys. 2009. [16] Adomavicius, G., Tuzhilin, A., "Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions," IEEE Transactions on Knowledge and Data Engineering, Vol. 17, Issue 6, pp. 734-749,2005. [17] Iván Cantador, Alejandro Bellogín, David Vallet, “Content-based Recommendation in Social Tagging Systems”, Proceedings of the fourth ACM conference on Recommender systems USA 2010, Pages 237-240 [18] Prem Melville and Vikas Sindhwani, “Recommender Systems”, Springer 2010 [19] Francesco Ricci, Lior Rokach and Bracha Shapira, "Introduction to Recommender Systems Handbook", Springer 2011 [20] Iman Avazpour, Teerat Pitakrat, Lars Grunske and John Grundy, "Dimensions and Metrics for Evaluating Recommendation Systems." Recommendation Systems in Software Engineering. Springer Berlin Heidelberg, 2014. 245-273
Hiral R. Patel, Shital A. Solanki "A Survey on Friend Recommendations in a Social Bookmarking System Using Serendipity" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.5 issue 12, pp.99-102 2016
Parkinson’s disease (PD) is one of the very common neural disorders which results in severe disability. Different signals like EEG, speech and gait can be used to detect Parkinson’s disease. In this paper gait analysis is used to determine the level of severity of Parkinson’s disease in pathological subjects. Here stride time of normal subjects is estimated and threshold value is found. Based on this threshold value, pathological subjects are classified depending on the disease severity.
- Page(s): 103-105
- Date of Publication: 08 January 2017
- H K ShreedharDepartment of Electronics and Communication, Global Academy of Technology, Bengaluru, India
- Dr. Anadthirtha B GudiDepartment of Electronics and Communication, Global Academy of Technology, Bengaluru, India
References
[1]. Suitability of Dysphonia Measurements for Telemonitoring of Parkinson’s Disease- Max A. Little∗, Member, IEEE, Patrick E. McSharry, Eric J. Hunter, Jennifer Spielman, and Lorraine O. Ramig, IEEE Transactions on Biomedical Engineering, VOL. 56, NO. 4, April 2009, pp-1015-1022. [2]. Athanasios Tsanas, Max A. Little, Patrick E. McSharry, Senior Member, IEEE, Jennifer Spielman, Lorraine O. Ramig “Novel Speech Signal Processing Algorithms for High-Accuracy Classification of Parkinson’s Disease” - TBME-00887-2011-R1 [3]. A Review of Gait Cycle and its Parameters -Ashutosh Kharb, Vipin Saini , Y.K Jain, Surender Dhiman - IJCEM International Journal of Computational Engineering & Management, Vol. 13, July 2011,pp 78-83 [4]. Effect of gait speed on gait rhythmicity in Parkinson's disease: variability of stride time and swing time respond differently-Silvi Frenkel-Toledo2, Nir Giladi1,2,3, Chava Peretz1,2, Talia Herman1,2, Leor Gruendlinger1 and Jeffrey M Hausdorff*1,2,4 -Journal of NeuroEngineering and Rehabilitation 2005, 2:23 doi:10.1186/1743-0003-2-23,pp.1-7. [5]. Dual tasking, gait rhythmicity, and Parkinson’s disease: Which aspects of gait are attention demanding? -Galit Yogev,1,2 Nir Giladi,1,2,5 Chava Peretz,1,2 Shmuel Springer,2 Ely S. Simon3 and Jeffrey M. Hausdorff1,2,4 -European Journal of Neuroscience, Vol. 22, pp. 1248–1256, 2005,pp.1248-1256. [6]. Measurement of Foot Placement and its Variability with Inertial Sensors John R. Rebulaa,b, Lauro V. Ojedaa, Peter G. Adamczykb, and Arthur D. Kuoa -NIH Public Access, Gait Posture. 2013 September; 38(4): 974–980. doi:10.1016/j.gaitpost.2013.05.012. [7]. Rhythmic auditory stimulation modulates gait variability in Parkinson’s disease -Jeffrey M. Hausdorff,1,2,3 Justine Lowenthal,1,2 Talia Herman,1 Leor Gruendlinger,1 Chava Peretz1,2 and Nir Giladi1,2,4, European Journal of Neuroscience, Vol. 26, pp. 2369–2375, 2007. [8]. Walking speed-related changes in stride time variability: effects of decreased speed-Olivier Beauchet*†1, Cedric Annweiler1, Yhann Lecordroch2, Gilles Allali3,Veronique Dubost4, François R Herrmann2 and Reto W Kressig†5 -Journal of NeuroEngineering and Rehabilitation 2009, 6:32,pp.1-6 [9]. Evolving Classifiers to Recognise the Movement Characteristics of Parkinson’s Disease Patients -Michael A. Lones, Senior Member, IEEE, Stephen L. Smith, Member, IEEE, Jane E. Alty, Stuart E. Lacy, Katherine L. Possin, D. R. Stuart Jamieson and Andy M. Tyrrell, Senior Member, IEEE -2013 IEEE, pp.1-18. [10]. Gait in Parkinson's Disease - signal processing and modeling -Oana Geman, Ioan Ungurean, Valentin Popa, Cornel Octavian Turcu, Nicoleta-Cristina Găitan, 11th International Conference on Development and Application Systems, Suceava, Romania, May 17-19, 2012. [11]. A Review on Techniques for Diagnosing and Monitoring Patients with Parkinson’s Disease Prasad RKA, Babu SS, Siddaiah N and Rao KS* -Journal of Biosensors & Bioelectronics Volume 7, Issue 2, pp.1-7. [12]. Data Processing for Parkinson’s disease: Tremor, Speech and Gait Signal Analysis -Oana GEMAN, Proceedings of the 3rd International Conference on E-Health and Bioengineering - EHB 2011, 24th-26th November 2011, Iasi, Romania.
H K Shreedhar, Dr. Anadthirtha B Gudi "Estimation of Severity of Parkinson’s Disease Using Gait Analysis" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.5 issue 12, pp.103-105 2016
The Traffic Signal Synchronization is a traffic engineering technique of matching the green light times for a series of intersections to enable the maximum number of vehicles to pass through, thereby reducing stops and delays experienced by motorists. Synchronizing traffic signals ensures a better flow of traffic and minimizes gas consumption and pollutant emissions. The objective function used in this work is a weighted sum of the delays caused by the signalized intersections. In this paper, we apply generalized ’surrogate problem’ methodology that is based on an on-line control scheme which transforms the problem into a ’surrogate’ continuous optimization problem and proceeds to solve the latter using standard gradient-based approaches while simultaneously updating both actual and surrogate system states. We extend a ‘surrogate problem’ approach that is developed for a class of stochastic discrete optimization problems so as to tackle the traffic signal synchronization problem to minimize the total delay (DTSS). Numerical experiments conducted on a test and a real networks show that the surrogate method converges in a very small area.
- Page(s): 106-111
- Date of Publication: 08 January 2017
- Gulam JilaniB.Tech Civil Engineering Department ,Institute of Technology, Nirma University, Ahmedabad Gujarat,382481,India
- Megh ModiB.Tech Civil Engineering Department ,Institute of Technology, Nirma University, Ahmedabad Gujarat,382481,India
- Abhi MitraB.Tech Civil Engineering Department ,Institute of Technology, Nirma University, Ahmedabad Gujarat,382481,India
- Prof.Tejas JoshiAssistant Professor, Civil Engineering Department ,Institute of Technology, Nirma University, Ahmedabad Gujarat,382481,India
References
Journal Papers [1]. Goliya,H.S. et.al. , “A case study on Eastern Ring Road , Indore, Synchronization of Traffic Signals.”, Journal of Advanced Technology in Civil engineering, CE-AMD, S.G.S.I.T.S., Indore, India. [2]. Rafidi,A.M. et.al. ,“Synchronization of Traffic Light systems for Maximum efficiency along Jalan Bulkit Gambier, Penang , Malaysia “ . Journal of Advanced Technology in Civil engineering, Malasiya Books [3]. Dr. S. K. Khanna and Dr. C.E.G Justo. “Highway Engineering” Nem Chand and Bros, Roorkee, U.K., India Research Thesis [4]. Dr. Mehmet M. Kunt , CIVL361 Transportation Engineering. ”Webster’s Method for Signal synchronization.” Website [5]. Dr. Tom. V. Mathew, “Design principles of Traffic Signal”, Module 34, IIT Bombay. [6]. Dr. Tom. V. Mathew, “Design principles of Traffic Signal”, Module 42, IIT Bombay.
Gulam Jilani, Megh Modi, Abhi Mitra, Prof.Tejas Joshi "Synchronization of Traffic Light System for Maximizing Efficiency along Helmet Circle, Sal Junction and Mam Nagar" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.5 issue 12, pp.106-111 2016
Oxidation of primary and secondary alcohols to the corresponding carbonyl compounds is an important transformation in organic chemistry. The kinetics of the oxidation of 1-Phenylethanol (PE) by Polymer supported Chromate has been followed by monitoring the increase in the absorbance of reaction intermediate. The reaction followed by zero order behavior, being zero order in each reactant. The rate of reaction increase with increase in weight of oxidant, concentration and temperature .A free radical scavenger affects the reaction rate. The stiochiometry has been found to be 1mol PE: 1mol of Chromate. Thermodynamic parameters evaluated are [Ea] = 75KJ mol-1, [∆H#] =54 KJ mol-1, [∆S#]= -69 JK mol-1, [∆G#] =288KJ mol-1, and [A] =3.1 x 10-5s-1 results under pseudo zero order conditions are in agreement with the rate law. The reaction product acetophenone was isolated and characterized.
- Page(s): 112-115
- Date of Publication: 08 January 2017
- Vilas Y. SonawaneDepartment of Chemistry, B.Raghunath Arts, Commerce and Science, College, Parbhani (MS) India 431401
References
[1]. M.Baghmar and P.Sharma,Proc.Indian Acad.Sci.(Che.Sci.),2001,113,139-146. [2]. D.Mahadevappa and H.Naidu,Australian Journal of Chemistry,1974,27,1203-1207. [3]. E.Beniso and E.Rodenas, Transition Met.Chem. 1993,18,329-334. [4]. K.Sengupta ,t.Samanta and S.Basu,Tetrahedron,1986,42,681-685. [5]. G. G. Sharma and M. K. Mahanti , Bull. Soc. Chem. Fr., 1991, 128, 449. [6]. K. Balasubramanian and V. Pratibha, Indian J. Chem., Sec. B., 1986, 25, 326. [7]. B. Narayana and Tam Cherian , J. Braz. Chem. Soc., 2005, 16, 197. [8]. A. J. Buglas and J. S. Waterhouse, J. Chem. Edu., 1987, 64, 3712. [9]. G. Cainelli, G. Cardillio, M. Orena and S. Sardri, J. Am. Chem. Soc., 1967,98, 6767 . [10]. T. Brunlet, C. Jouitteau and G. Gelhard, J. Org. Chem., 1968,51 , 4016 . [11]. W. A. Mosher, H. Clement and R. L. Hillard , J. Am .Chem. Soci., 1965, 29, 565 . [12]. W. Watanabe and F. H. Westheimer, J. Chem . Phys., 1979, 61, 17. [13]. M. M. Salunke, D. G. Salunke, A. S. Kanade, R. B. Mane and P. P. Wadgaonkar , Synth. Commun. 1990, 2B, 1143. [14]. J. Matsuo, A. Kawana, K. Pudhon and T. Mukaiyama, Chem. Lett., 2002, 250. [15]. R. O. Hutchins, N. R. Natale and W. J. Cook, Tetrahedron Lett., 1997, 4167. [16]. A. J. Buglas and J. S. Waterhouse, J. Chem. Edu., 1987, 64, 3712. [17]. J. H. Espenson, J. Am. Chem. Soc., 1964, 86, 5101. [18]. Vilas Y.Sonawane.,Ind.J.App.Res. , 2013, 3(5), 60-62. [19]. Vilas Y.Sonawane., Int.J.Chem.Sciences, 2013, 1(4), 40-45. [20]. Vilas Y.Sonawane., Asian J.Chem. 2013, 25(2), 4001-4004. [21]. Vilas Y.Sonawane., Int.J.Chem.Sciences., 2013, 1(4), 40-42. [22]. Vilas Y.Sonawane, Sci. Res.Lib.App.Chem., 2014, 1(2), 01-07.
Vilas Y. Sonawane "Kinetic and Thermodynamic Study of the Oxidation of Aromatic Alcohol using Polymer Supported Chromic Acid" International Journal of Latest Technology in Engineering, Management & Applied Science vol.5 issue 12, pp.112-115 2016
This project proposes strategies for safe working of table saw. The table saw is used extensively in wood working. The worker working on this machine is unskilled or semi- skilled worker, hence the machine has to be made incorporating the safety features so that it is to operate. The existing table saw is use are associated with more injuries than any other type of woodworking tool, but there are no published national epidemiologic studies of table saw related injuries. The proposed design also avoids the costly disc brake attachment used in existing advance saws which are to be replaced very frequently. The project aims at to give safety during working on table saw machine and cost effective solution in industry.
- Page(s): 116-123
- Date of Publication: 08 January 2017
- Ronak SutharAssistant Professor, Mechanical Engineering Department, Faculty of Engineering, K. J. Institute of Engineering & Technology, Savli Gujarat, India- 391770
References
[1]. https://www.sensors - transducers.machinedesign.com/guiEdits [2]. Majumdar, S.R. (1995). Pneumatic System: Principles Maintenance . New Delhi: Tata McGraw - Hill. [3]. Todd, Robert; Allen, Dell; Alting Leo (1994). Manufacturing Processes Reference Guide [4]. www - hse - gov - uk [5]. https://www.traveltohungary.com/english/articles/article.php?id=13 5 [6]. wikipedia.org/wiki/table_saw [7]. woodworking.about.com/od/toolsequipment/p/ sawBlade s.htm [8]. Article Sources : https://ezinearticles.com/?Wood - Cutting&id=407 819 By Thomas Morva [9]. BIS 7898, 1981. Cutter - specification. Bureau of Indian Standards, NewDelhi. [10]. www.sawstop.com
Ronak Suthar "Design Development and Manufacturing of Table Saw for Human Safety " International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.5 issue 12, pp.116-123 2016
The aim of this present topic is to fabricate glass fiber reinforced polymer laminates using Hand lay-up and press moulding techniques, sample prepared as per ASTM standards. These specimens are tested under tensile test, flexural test and compressive tests. These laminates will be prepared with varying additives. The main theme of this project is to study the strength of glass fiber reinforced polymer composites. These composites are known to enhance the mechanical properties. In the present work, E-glass fiber is incorporated in a polyester resin matrix to form bi-directional reinforced composite.
- Page(s): 124-128
- Date of Publication: 08 January 2017
- P.PriyankaP.G Student, Department of Mechanical Engineering, Bonam Venkata Chalamayya Institute of Technology and Sciences, Amalapuram, Andhra Pradesh, India
- Dr. M. M. S. Prasad Professor, Department of Mechanical Engineering, Bonam Venkata Chalamayya Institute of Technology and Sciences Amalapuram Andhra Pradesh, India
- K. SureshAssociate Professor, Department of Mechanical Engineering, Bonam Venkata Chalamayya Institute of Technology and Sciences Amalapuram, Andhra Pradesh, India
- P. N. V. SatyanarayanaAssistant Professor, Department of Mechanical Engineering, BVC College of Engineering ,Rajahmundry, Andhra Pradesh, India
References
[1]. C.H. Park, W.I. Lee, Compression molding in polymer matrix composites, Manufacturing Techniques for Polymer Matrix Composites (PMCs), 2012, Pages 47-94. [2]. Nam-Jeong Lee, Jyongsik Jang, The effect of fibre content on the mechanical properties of glass fibre mat/polypropylene composites.Composites Part A: Applied Scienceand Manufacturing, Volume 30, Issue 6, June 1999, Pages 815-822. [3]. P. Davies, D. Choqueuse, H. Devaux, Failure of polymer matrix composites in marine and off-shore applications. Failure Mechanisms in Polymer Matrix Composites, 2012, Pages 300-336. [4]. N. Guermazi, N. Haddar, K. Elleuch, H.F. Ayedi, Investigations on the fabrication and the characterization of glass/epoxy, carbon/epoxy and hybrid composites used in the reinforcement and the repair of aeronautic structures. Materials & Design, Volume 56, April 2014, Pages 714-724. [5]. C.H. Park, W.I. Lee, Compression molding in polymer matrix composites. Manufacturing Techniques for Polymer Matrix Composites (PMCs), 2012, Pages 47-94. [6]. MD.Wakema T.A Cain, C.D Rudd, R.Brook, A.C.Dong ,compression moulding of glass polypylen for optimized macro and micro mechancical properties II.Glass Mat-thermoplastic composite Science and reinforced technology , volume 59, issue 5, april 1999, pages 709-726 [7]. E.M sozer p. simacek S.G advani Resin trafer moulding in polymer (RTM) matrix composites. Manufacturing Techniques for Polymer Matrix Composites (PMCs), 2012, Pages 245-309. [8]. K. Benzarti, L. Cangemi, F. Dal Maso, Transverse properties of unidirectional glass/epoxy composites: influence of fibre surface treatments. Composites Part A: Applied Science and Manufacturing, Volume 32, Issue 2, February 2001, Pages 197-206. [9]. V. Goodship, I. Brzeski, B.M. Wood, R. Cherrington, K. Makenji, N. Reynolds, G.J. Gibbons, Gas-assisted compression moulding of recycled GMT: Effect of gas injection parameters, Journal of Materials Processing Technology, Volume 214, Issue 3, March 2014, Pages 515-523. [10]. Nirmal Saha, Amar Nath Banerjee, B.C. Mitra, Tensile behavior of unidirectional polyethylene-glass fibres/PMMA hybrid composite laminates, Polymer, Volume 37, Issue 4, 1996, Pages 699-701.
P.Priyanka, Dr. M. M. S. Prasad, K. Suresh, P. N. V. Satyanarayana "Experimental Investigation on E-Glass Fiber with Additives" International Journal of Latest Technology in Engineering, Management & Applied Science vol.5 issue 12, pp.124-128 2016