This research paper presents the optimization of inventory control for supply chain management (SCM) by using techniques of regression. Parameters like blooms quantity (mt), ordering cost per order (OC), carrying cost (CC), and purchase order per unit are considered for the analysis. Common used technique for calculation of inventory control parameters is the economic order quantity (EOQ) and the same parameters have been predicted by the different techniques of regression. Comparison is made between standard EOQ model, and values predicted by different regression techniques. Analysis reveals that the regression has shown strong correlation with the standard values for predicting the inventory control parameters and the accuracy varies between 96.65% to 99.85%.

Keywords: Inventory Control, Supply Chain Management, Regression Analysis, Economic Order Quantity Model.

[1]. Bowersox, D. J., Closs, D. J., & Cooper, M. B. (2002). Supply chain logistics management (Vol. 2). New York, NY: McGraw-Hill.
[2]. Brown, R. G. (1959). Statistical forecasting for inventory control. McGraw/Hill.
[3]. Cadavid, D. C. U., & Zuluaga, C. C. (2011). A framework for decision support system in inventory management area. In Ninth LACCEI Latin American and Caribbean Conf (pp. 3-5).
[4]. Cannella, S., Framinan, J. M., Bruccoleri, M., Barbosa-Póvoa, A. P., & Relvas, S. (2015). The effect of inventory record inaccuracy in information exchange supply chains. European Journal of Operational Research, 243(1), 120-129.
[5]. Cannon, A. R. (2008). Inventory improvement and financial performance. International Journal of Production Economics, 115(2), 581-593.

The aim of this study is evaluate the mechanical behavior of an Al AA1070 aluminum alloy produced from rolling hot process, by equal channel angular pressing (ECAP). The process is cold via route C with 5 consecutive passes and accumulated a total strain of ɛ5 = 5.95. The as received material has a coarse grain micro structure with grain size of 15.7 ± 17.5 μm and micro hardness Vickers 31.1 ± 2.5. The mechanical behavior and micro hardness Vickers of the samples were evaluated by tests of Vickers hardness, creation of hardness maps and force-deformation graph during the ECAP process...............

Keywords: Pressing by equiangular channels (ECAP); Aluminum alloy; Severe plastic deformation; mechanical behavior; micro hardness Vickers.

[1]. Azushima A, Koop R, Korhonen A., Severe plastic deformations (SPD) processes for metals. CIRP Annals – Manufacturing Technology. 2008;57:716-735.
[2]. Lins J.F.C. CaracterizaçãoMicroe strutural da Liga AlAA1070 Deformada. Universidade Federal Fluminense, 2009.
[3]. Valiev RZ, Islamgaliev RK, Alexandrov IV. Bulk nanostructured materials from severe plastic deformation.Progress in Materials Science. 2000;45:103-189.
[4]. Langdom, T.G., The Principles of grain refinement in equal-channel angular pressing. Materials Science and Engineering A, v. 462, p. 3-11, 2007.
[5]. Tolaminejad, B.; Dehghani, K. Microstructural characterization and mechanical properties of nanostructured AA1070 aluminum after equal channel angular extrusion. Materials & Design, v. 34, p. 285-292, 2012.

Environmental concern has brought forward esters derived from seed-based oils as viable alternative insulating fluids for oil-filled power equipment. Even though there are natural ester fluids that are developed from seed-based oils, research continues towards improving properties of natural ester fluids. Recent works show that well-dispersed nanoparticles in base fluids enhance thermal and high voltage insulation properties of the fluids. This paper presents the effect of dispersion of titanium oxide nanoparticles on the physical properties of Jatropha and Neem oils for use in power equipment. Calculated percentage of titanium oxide nanoparticles were dispersed in the oils. Dynamic viscosity, flash point and pour point of the insulating oils were evaluated. The results show 26.5% decrease in viscosity at room temperature and 31.2% and 43.2% decrease in the viscosity at 40ºC and 70ºC respectively with the dispersion of 1% nanoparticles in the base fluid. The flash and pour points of the nanofluid were observed to have increased by 9.5% and 45.5% respectively for the same weight per cent.

Keywords: Dynamic Viscosity, Flash point, pour point

[1]. J. Huifei, Dielectric strength and thermal conductivity of Mineral based Nanofluid, doctoral diss., Delft University of Technology, Netherlands, 2015.
[2]. K. Bandara, C. Ekanayake, T.K. Saha, and P.K. Annamada, Understanding the aging aspects of natural ester-based insulation liquid in power transformer. IEEE Transaction on Dielectric and Electrical Insulation, 23, 2016, 246-257.
[3]. K.O. Okafor and J.O. Okafor, Production and characterization of electrical transformer insulating fluid from blending Castor and Neem seed oils, IOP Conference, Journal of Earth and Environmental Science, 173, 2018.
[4]. K. Michal, Dielectric properties of biodegradable vegetable oil based nanofluid, 19th International Scientific Conference Paper on Electric Power Engineering (EPE), held on 16-18 May, 2018, IEEE, 2376-5631.
[5]. Jr. Evangelista, E. Fabricio, C. Bortot, A.O. Juliana, E. Carvalho, M.R. Araujo, L.S. Tania, and A.S. Miranda, Development of a new bio-based insulating fluid from Jatropha curcas oil for power transformers, Advances in Chemical Engineering & Science, 7, 2017, 235-255.

Co2+ doped Cadmiumborate nanocomposite (Co2+ doped Cd3(BO3)2 NC) was synthesized at room temperature by chemical precipitation method. The prepared Co2+ doped Cd3(BO3)2 NC is characterized by X-ray diffraction (X-RD), Scanning Electron Microscopy (SEM) /EDS , Electron paramagnetic resonance (EPR), Optical studies, Photoluminescence studies and Fourier transform infrared (FT-IR) techniques. From XRD structure and size of the crystallites are evaluated by using Scherrer's formula. SEM images show the stone like morphology of nanocomposite. Optical absorption spectrum indicates the distorted octahedral site symmetry of Co2+ ions. The crystal field Dq and interelectronic repulsion parameters.............

Keywords: Co2+ doped Cadmiumborate nano powder, Synthesis, structure, SEM/EDX, EPR, Optical, photoluminescence.

[1]. J.H.Shim, T.Hwang, S.Lee,J.H.Park and S.J.Han. ―Origin of ferromagnetism in Fe and Cu-codoped ZnO‖, Applied Physics Letters, Vol.86,No.8, 2005, Article ID 082503.
[2]. S. A. Wolf, D. D. Awschalom, R. A. Buhrman, J. M. Daughton, S. Von Molnar, M. L. Roukes, A. Y. Chichelkanova and D. M. Treger, ―Spintronics: A Spin-Based Electronics Vision for the Future,‖ Science, Vol. 294, No. 5546, 2001, pp. 1488-1495.
[3]. S. Ghosh and K. Mandal, ―Study of Zn1−xCoxO (0.02 < x< 0.08) Dilute Magnetic Semiconductor Prepared by Mechano synthesis Route,‖ Journal of Magnetism and Magnetic Materials, Vol. 322, No. 14, 2010, pp. 1979-1984.
[4]. H. Ohno, ―Making Nonmagnetic Semiconductors Ferromagnetic,‖Science, Vol. 281, No. 5379, 1998, pp. 951-956.
[5]. G. A. Prinz, ―Magnetoelectronics,‖ Science, Vol. 282, No.5394, 1998, pp. 1660-1663.

Renewable energy based distributed generators (DGs) play an important role in the electricity generation due to increased demand of electrical power, limited availability of fossil fuels and environmental concerns. The solar energy is one of the most available and feasible from of renewable energy due to their advantages. Distributed generation (DGs) is generally located near to load centers. The optimal placement of DG in the distribution system which gives many benefits such as system power loss and harmonic minimization, voltage profile and stability improvement, environmental friendliness, and reliability enhancement. In this paper, the Newton Raphon's power flow method with particle swarm optimization (PSO) algorithm is used for optimal placement of DG in a distribution system. The proposed method is tested and validated in standard IEEE-14 bus and IEEE-33 bus test systems. The proposed optimal placement of DG units is found to be robust and provide higher efficiency for the minimization of the losses and THD and improvement of the voltage profile.

Keywords: Distributed Generation (DG), Power loss minimization, Harmonic distortion, Solar DG, Particle Swarm optimization (PSO).

[1]. Mustafa F.shaaban, Yasser M. Atwa,"DG Allocation for benefit maximization in distribution networks", IEEE Transaction on Power system, 28(2), 2013, 639-649.
[2]. Abdelazeem, A.Abdelsalam, Ehab F. El-Saadany, "Probabilistic approach for optimal planning of distributed generators with controlling harmonic distortion", IET Gener. Transm. Distrib.7 (10), 2013, 1105–1115.
[3]. V.Ravikumar Pandi, H.H. Zeineldin, "Determining optimal location and size of distributed generation resources considering harmonic and protection coordination limits", IEEE Transaction on Power system, 28(2), 2013, 1245-1254.
[4]. Teng, Jen-Hao, et al. "Optimal charging/discharging scheduling of battery storage systems for distribution systems interconnected with sizeable PV generation systems." Power Systems, IEEE Transactions on 28(2), 2013, 1425-1433. 220 W PV Module, Solar Gate Technology Corporation, Feb. 20 15.
[5]. [Online]. Available: http://www.solargatetech.com.

In data mining, clustering algorithms is one of mostly used area for many applications. With the growth of the online applications, studies on cluster development were performed consequently as to reduce noise and sustain continuity of grouping results. Several clustering algorithms have been introduced, such as the evolutionary methods and spectral clustering, however none of the works has been were engaged to solving the density-based clustering problem. Recently new clustering algorithm, RNN-DBSCAN, is introduced which uses RNN counts as an estimate of observation density. But still the accuracy is challenging task, so Density-based Clustering Algorithm using Bichromatic Reverse Nearest Neighbor Density Estimates..............

Keywords: Data mining, clustering, Density-based Clustering (DBSCAN), Bichromatic Reverse Nearest Neighbor Density Estimates (BRNNDE), and evaluation metrics.

[1]. Nagwani, N.K. and Bhansali, A., 2010. An object oriented email clustering model using weighted similarities between emails attributes. International Journal of research and reviews in Computer Science, 1(2), p.1.
[2]. Hinneburg, A., Keim, D.A.: An Efficient Approach to Clustering in Large Multimedia Databases with Noise. In: Proc. Int'l Conf. on Knowledge Discovery and Data Mining (KDD), New York, USA, pp. 58–65 (August 1998)
[3]. Ankerst, M., Breunig, M.M., Kriegel, H.-P., Sander, J.: OPTICS: Ordering Points To Identify the Clustering Structure. In: Proc. of Int'l Conf. on Management of Data, ACM SIGMOD, Philadelphia, Pennsylvania, USA, pp. 49–60 (June 1999).
[4]. Hinneburg, A., Gabriel, H.-H.: DENCLUE 2.0: Fast Clustering Based on Kernel Density Estimation. In: Berthold, M., Shawe-Taylor, J., Lavrač, N. (eds.) IDA 2007. LNCS, vol. 4723, pp. 70–80. Springer, Heidelberg (2007).

The research intended to find out the adsorption efficiency of activated carbon from coconut coir for removal of phenol from the wastewater. The surface characterization of adsorbent was studied through SEM and BET analyzers. The results indicated that the adsorbent had a honey-combed microstructure with high surface area. The removal percentage of phenol from wastewater was examined in batch experiments with variation of pH (4-9), contact time (50-300 min), adsorbent dose (0.1-0.4 gm/L), phenol concentration (50-140 mg/L) and temperature (30-500C). The adsorption results indicated that percentage of phenol removal reached maximum (>95%) at pH of 6, time of 250 min, dose of 0.2 gm/L, phenol concentration of 50 mg/L and temperature of 300C. The optimized values of adsorption experiments were used for testing of various kinetic, thermodynamic and isotherm models...............

Keywords: Adsorption, Phenol, Activated carbon from coconut coir, Wastewater, Isotherms, Scale-up design.

[1]. Aksu Z. and Yener J. (2001). A comparative adsorption / absorption study of Mono-chlorinated Phenol onto various Sorbent. Waste management, 21, pp 695-702
[2]. Almeida C. A., Debacher N. A., Downs A. J., Cottet L. and Mello C. A. (2009). Removal of methylene blue from colored effluents by adsorption on montmorillonite clay. J Colloid Interface Sci. 332(1), pp 46-53
[3]. APHA, AWWA, WEF (1998). Standard methods for examination of water and wastewater.APHA, 20th edn. New York
[4]. Banat, F.A., Al-Bashir B., Al-Asheh S. and Hayajneh O. (2000). Adsorption of Phenol by Bentonite. Environmental Pollution, 107, pp 390-398
[5]. Braun B. model Infors AG, Bott-mingen, Germany. Advances in Bioprocess Engineering - pp 448.