Kanagasabai Karthikeyan

VIT University | VIT · School of Advanced Sciences (SAS)

Demand estimation for power utilization might be a key achievement factor for the occasion of any nation. This might be accomplished if the requirement is estimated precisely. In this paper, Distinctive Univariate methods of forecasting Autoregressive Integrated Moving Average (ARIMA), ETS, Holt's model, Holt Winter's Additive model, Simple exponen...

In the motorsport of Formula 1 engine regulation changes are quite common and when a change occurs the sport evolves by adapting to the new regulations. However, this transition from one regulation to another are not always uniform. So, we study how an engine regulation change affects the performance of the car by comparing the lap timesand predict...

Demand forecast plays a significant role in the decision-making process of a business. The role of forecasting is massive for realistic areas in accounting. Good forecasting helps in proper output preparation, selection of procedures, regression testing and resource management etc. In this review article, we analyze demand forecasting on spare part...

Climate change has already existed the result is in a wide range of impacts across every region of the country and also affects the more economic sectors. The major climatic variables include precipitation, average temperature, Vapor pressure, and cloud cover. The important study of the behavior of the climatic variables is a major role in understa...

The items that incur a gradual loss in quality or quantity over time while in inventory are usually called deteriorating items. In reality, there are some items whose value or utility or quantity increase with time and those items can be termed as ameliorating items. In this paper, we discuss an inventory model for both ameliorating and deteriorati...

This paper uses polynomial regression to analyze the relationship between the higher education and growth in India using data from 2001 to 2016. In this paper, we concentrate on higher education as it is usually neglected while examining such relationships. Thus we use regression analysis to predict future trends. Upon inspecting the data it indica...

Precipitation has been usually considered as an initial point towards the concern of climate changes and it has an important component of the hydrologic cycle. Our aim of this work is to investigate 30 years of precipitation (1973- 2002) in Karnataka state using probability distributions which are normal, gamma, gamma (3P), Weibull, Weibull(3P) and...

The importance of big data is increasing day by day motivating the researchers towards new inventions. Often, a small amount of data is needed to achieve a solution or to draw a conclusion. The new big data techniques stem from the necessity to retrieve, store and process the required data out of huge data volumes. The present paper focuses on deal...

The violation detection of conditional functional dependencies in distributed environment has been a research problem giving inspiration to many researchers recently. A very few solutions were given in the recent past to handle conditional functional dependencies. Unfortunately, these are inappropriate in real time big data applications. This artic...

Spatial and temporal precipitation changeability in Tamil Nadu State in India was analyzed by utilizing month to month precipitation information for a long time (1901-2002) from 29 stations. Tamil Nadu is one of the southern states of India which has a farming-based economy. Sen’s slope method has been used to estimate the magnitude of trend, whose...

In this article, an optimal ordering policy for the stock model of items, whose deterioration starts after a certain period of time under the dispatching policy Last in First Out (i.e. LIFO) in owned and rented warehouses is presented with the demand of the product increases up to a certain point and that remains constant, deterioration rate which...

In this article we propose pharmaceutical inventory model for perishable products with pre and post discounted selling price and time dependent cubic demand. Mostly the pharmaceutical company considered the constant rate of deterioration. In the majority of the earlier studies, the demand and holding cost has been considered to be constant function...

An economic order quantity inventory model for non-instantaneous deteriorating items has been developed with ramp type demand rate, time dependent deterioration rate and time dependent holding cost. Shortages in inventory are allowed in this model, which is partially backlogged. The main objective of this model is to develop an optimal replenishmen...

Long-term samples of meteorological data are periodically necessary to assess the long standing effects of future hydrological changes. The evaluations are repeatedly undertaken using deterministic statistical analyze which requires daily weather data as input. Andhra Pradesh had experienced frequent disasters like cyclones, floods, droughts etc. T...

An economic order quantity inventory model for non-instantaneous deteriorating items has been developed with cubic demand rate, cubic deterioration rate and time dependent holding cost. Shortages in inventory are allowed in this model. In shortage period, partial and complete backlogging cases are considered. The main objective of this model is to...

In this article we introduce an economic order quantity model for perishable products like vegetables, fruits, milk, flowers, meat, etc.,with price-dependent demand, pre and post discounted selling price. Here we consider the demand is depending on selling price and deterioration rate is constant. Here we developed mathematical model to determine o...

In this article we introduce an economic order quantity model with weibull deterioration and time dependent cubic demand rate where holding costs as a linear function of time. Shortages are allowed in the inventory system are partially and fully backlogging. The objective of this model is to minimize the total inventory cost by using the optimal or...

The presence of distributional data instances is the main problem in many big data applications. Some solutions were given by the researchers to handle multiple instance learning and distributional instance learning. Unfortunately, these are not applicable in many big data scenarios. The state-of-the- art techniques need to be updated in the big da...

Big Data becameabuzz word nowadays due to the evolution of huge volumes of data beyond peta bytes. This article focuses on matrix multiplication with big sparse data. The proposed FASTsparse MULalgorithm outperforms the state-of-the-art big matrix multiplication approaches in sparse data scenario.

In this article, an attempt is made to develop two inventory models for non- instantaneous deteriorating items and two inventory models for instantaneous deteriorating items with linear deterioration rate and cubic demand rate. That is, the demand rate is a piecewise cubic function of time under ination and permissible delay in payments. This model...

An EPQ model plays an important role in production and manufacturing units. In this paper, we introduce three levels of economic production inventory model for deterioration items in which three different levels of production are considered and the rate of deterioration follows two parameter Weibull distributions. The total cost of production is de...

A detailed review on queueing inventory models with various cases like Single server Queueing systems with Inventory, Queueing inventory system with stochastic environment, Queueing systems in Inventory with substitution flexibility, Queuing systems in production-inventory, Queueing system with service inventory, Continuous review inventory systems...

The Economic Production Quantity(EPQ) model is commonly used by pratitioners in the fields of production and inventory management to assist them in making decision on production lot size. In most of the pharmaceutical inventory models,the holding cost and demand rate have been considered as a constant function. However,in Healthcare Industries,thes...

Brause (2001) in his interesting study brought to limelight that human beings,however experienced and however enlightened would go wrong in diagnosing disease. The success percentage of his study are as follows: • Best human diagnosis (most experienced Physicians): 79.7%. • Computer with expert data base: 82.2%. • Computer with 600 patient data: 91...

The Gamma distribution model is well en suite to the monthly and annual rainfall estimate detection. The rainfall gauging station of Pampadumpara, Idukki district metrological station data is being used. This study tests the goodness-of-fit using the Kolmogorov-simirnov (KS) test, and compare these results against gamma distribution which is common...

In this paper, we propose few alternate numerical algorithms for minimization of unconstrained non-linear functions by using modified Adomian decomposition method. Then comparative study among the new algorithms and Newton's algorithm is established by means of examples.

The inventory management system plays a vital role in a pharmaceutical industry. For every business, managing an inventory is important whether it is small or big, domestic or international business. In a pharmaceutical company, the raw materials have an expiry date associated with them so it becomes important to set a minimal safety stock for such...

In this article, an attempt is made to develop an inventory model for non- instantaneous deteriorating items with cubic deterioration rate and cubic demand rate. That is, the deterioration rate and demand rate are piece wise continuous cubic function of time. This model supports in minimizing the total inventory cost by finding an optimal replenish...

Data matching provides valuable information relevant to complex decisions about programs or policies. For example, information about peer influences on teen behavior, achieved through data matching, can help people decide what kinds of programs would discourage early pregnancy, teenage drinking, and delinquency. If the data used in the data matchin...

Big data analytics is the process of examining large data sets containing a variety of data types i.e., big data-to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful business information. It is the extension of data mining. Many traditional techniques in data mining can be made suitable for big data...

Optimization problems consists of maximizing or minimizing a real function by systematically choosing input values from within an allowed set and computing the value of the function. The generalization of optimization theory and techniques to other formulations comprises a large area of applied mathematics. In this paper, we propose new iterative c...

In this article, we proposed and analyzed the EOQ inventory model for constant deteriorating items with various demand rates such as constant, linear and quadratic function of time and time dependent holding cost. The main objective of this model is to minimize the total cost without shortages. Finally, through numerical examples and sensitivity an...

In this paper, we introduced a three level economic production inventory model with deteriorative items in which three different rates of productions are considered which leads to avoid the large quantum stock of manufacturing items so that we will get reduced holding cost. The variation in production rate provides a way of resulting consumer satis...

It is imperative to study the future trends of crop prices since about 870 million people still hungry in the world so that necessary steps can be taken in time to avert any possible food crisis. However, prediction of future food prices involves taking a lot of critical factors like temperature, precipitation and crop yield into consideration. Mos...

Stream data processing and stream data mining are the hot research topics today. Many solutions are given by the research community on various problems of stream data from time to time. Single model(incremental) classification, single model(incremental) clustering, Ensemble classification, and Ensemble clustering are the basic techniques which had...

In this article, we developed an instantaneous inventory model for constant rate of deteriorating items with time dependent holding cost and cubic demand by considering two models which are inventory model with shortage and without shortage. The demand rate is taken as cubic function of time during without shortage period while the demand rates are...

In this paper, an Economic Order Quantity (EOQ) inventory model is developed for deteriorating items in which shortages are not allowed and salvage value is incorporated to the deteriorateditems. In this model the demand rate is considered as cubic function of time and time dependent holding cost. Here the deterioration is considered as constant. T...

A new type of replenishment policy is suggested in an entropic order quantity (EnOQ) model for deterioration of perishable items with time dependent demand rate. This model represents the cubic demand rate with entropy cost, particularly over a finite time horizon. Its main aim lies in the need for an entropic cost of the cycle time is a key featur...

In this article we introduce an efficient algorithm to predict magnitude and damage of earthquake by using the techniques of data mining (multi-linear regression) and neural networks (backpropagation network).Here we consider the data sets of six earthquake-prone regions of the world. The parameters considered in both techniques are month, year, la...

In this paper, we propose few new algorithms of third order convergence for minimization of nonlinear functions which is based on geometric construction of iteration functions of order three to develop cubicallyconvergent iterative methods. Then comparative study among the new lgorithms and Newton’s algorithm is established by means of examples.

In this paper, we introduce certain new numerical algorithms for minimization of nonlinear functions. Then the comparative study of the new algorithms with the Newton’s Algorithm is established by means of examples.

In this paper, we suggest new algorithm for minimization of non linear function. Then the comparative study of the new algorithm with the Newton's Algorithm and External Touch technique algorithm is established by means of examples.

In this paper, we propose a new heuristics technique called Time deviation method to obtain a sequence of jobs for solving job sequencing problem so that its total elapsed time is minimum. Here first applied the new method for 2 machines n jobs problems and extended the same for 3 machine n job problems. Then apply the same technique for m machines...

Indian agriculture especially in semi-arid tropics has witnessed change in crops and cropping pattern scenarios. This is especially true in case of kharif sorghum where the advent of HYVs resulted in change from its previous status as an inter-crop to pure crop. High yielding hybrids of sorghum which were released since 80s whose potential yields w...

MILLET millet and CROPS other consist small of millets sorghum, such as pearl-millet, proso, kodo, finger fox¬ tail and barnyard millets.Sorghum and pearl millet crops are mainly grown in the Deccan plateau, central and western India apart from a few patches in northern India. Pearl millet is the dominant cereal of Rajasthan while small millets are...

India is popularly known as “slumbering giant of international daily trade” because of its negligible share in world trade in livestock products despite its largest livestock population and especially huge milk production. During the triennium ending (TE) 2002, the average value of livestock product exports of India was 430 million US dollars again...

The sweet sorghum {Sorghum bicolor (L) Moench) has vast potential use as ethanol and syrup production in the Indian context. Therefore we attempted to portray the strengths (S) ofand opportunities (O) for thesweetsorghum production and its utilisation as an industrial raw material for biofuel production. Also, its weaknesses (W) for the large-scale...

Pearl millet and finger millet are produced and consumed mainly by the rural poor in and around the world. Pearl millet occupies fourth position among cereals with cropped area of 9.41 m. ha during triennium ending (TE) 2001-2002 after sorghum in India. In spite of a two-fold increase in production, the area has declined by 21.5% over the last thre...

It is known that there has been in general a decline in consumption demand for the nutritious cereals such as sorghum, pearl millet and finger millet. We studied the trends in total cereal consumption ingeneral,and that of these nutritious cereals-sorghum, pearl millet and finger millet, in particular. The results pertain to the period from 1987 to...

The quantum of world sorghum exports was 7.01 million tonnes during TE 2002. The USA was the leading sorghum exporter with 6.1 million tonnes traded with other countries. India was a relatively small player with export of 0.002 million tonnes during TE 2002. We analysed the export competitiveness, impact of trade liberalization on Indian sorghum tr...

Sorghum ( jowar or jwari) is an important nutritious cereal constituting staple diet of rural poor in the developing countries, especially in dry regions. Traditionally, in India too, sorghum is considered an important staple food more than its fodder usage. But the area under sorghum has declined from 18 m. ha in 1970 to 9.69 m. ha in 2003-04 (DMD...

The relative importance of sorghum and pearl millet as food grains in Asia is decreasing in terms of cultivated area and production. The same trend is in India except that the productivity of pearl millet is increasing. Generally the above changes can be explained in terms of increasing incomes, change in consumers' preferences and tastes, subsidiz...

Rain-fall flow data of a meteorological station like Vellore in Tamil Nadu have been used for mean monthly flow of rain-fall data using auto regressive approach. These approaches can be used for regenerating the future sequence preserving the inherited properties of the observed data. The main statistical properties used for these purpose are mean,...

In this paper, we propose three new algorithms namely, Orthogonal Circle Approach Algorithm, Orthogonal Circle-Tangent Approach Algorithm and Family of quadratic convergence algorithms for minimization of non-linear functions. Some illustrations are discussed by using the first two new algorithms with Newton's algorithm. Then comparative study amon...

In this paper, we introduce the comparative study of the numerical methods for solving non linear equation. Here, in particular Two step iterative method is compared with Approximation techniques by circles which includes External touch technique of circles and Orthogonal intersection technique of circles. Numerical Illustrations are given.

In this article, an attempt was made to estimate the apparent fraction defective when the inspection risks are unknown using Beta distribution of first kind truncated at point b. This study uses to identify the performance of sampling plans like single sampling plan and Double sampling plan.