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Volume 5 - Issue 3 (March 2016)


Production Inventory Model With Different Deterioration Rates Under Shortages ANS Linear Demand
S.R. Sheikh, Raman Patel
Abstract       pdf Full text PDF
Index: 10.183x/A530107 aned
A production inventory model with linear trend in demand is developed. Different deterioration rates are considered in a cycle. Holding cost is considered as function of time. Shortages are allowed. To illustrate the model numerical example is provided and sensitivity analysis is also carried out for parameters.
Author Keywords:- Production, Inventory model, Varying Deterioration, Linear demand, Time varying holding cost, Shortages
e-ISSN: 2319-183X, p-ISSN: 2319-1821 Source Type: Journal Original Language: English
Document Type: Article Number of pages: 07
© Copyright 2014, All rights reserved.

Energy Efficient Aggregation In Wireless Sensor Networks Using Artificial Intelligence Based Aggregator Election
Subashree. C.P, Dr.s. Thangalakshmi
Abstract      pdf Full text PDF
Index: 10.183x/B530816 aned
A wireless sensor network (WSN) consists of a lot of tiny sensing devices, which can monitor environment or other events. Because these devices run on battery, energy is an extremely critical resource for them. Thus, energy-efficient method need be carefully designed for data aggregation. Most of the existing energy-efficient algorithms always forward packets by cluster head or data aggregator. Both the structure of clustering and data aggregation can realize to gather data with energy-efficient method. In this paper, considering the concept of data aggregation we proposed a energy efficient data aggregator election (EEDAE) algorithm to reduce the energy consumption, when a WSN is used to gather data. The goal of this basic approach is to use the architecture of cluster and artificial intelligence technique to elect the data aggregator efficiently and gather data from the nodes sensed interesting event to the cluster head (CH) so as to reduce the transmission energy in a cluster. Our simulation results show that EEDAE can improve energy efficiency, and thus prolong network lifetime.
Author Keywords:- Cluster-Head, Aggregation, EEDAE Kohonen neural network model, Energy efficiency.
e-ISSN: 2319-183X, p-ISSN: 2319-1821 Source Type: Journal Original Language: English
Document Type: Article Number of pages: 09
© Copyright 2014, All rights reserved.

Classification of various shape features of Micro-Based white blood cells by Segmentation Method
Ms.Shweta Atul Page
Abstract       pdf Full text PDF
Index: 10.183x/C531719 aned
In order to improve patient diagnosis various image processing software are developed to extract useful information from medical images. Hematologist makes the microscopic study of human blood which led to a need of methods, including microscope color imaging, segmentation, classification, and clustering that can allow the identification of patients suffering from leukemia. Leukemia is related with blast white blood cell (WBC). This paper has proposed threshold blood cell segmentation method along with image enhancement and arithmetic for WBC segmentation and using Euclidean distance extract various feature of leukocytes in blood cell.
Author Keywords:- blood cell count, euclidean distance, Micro-based cell shape extraction.
e-ISSN: 2319-183X, p-ISSN: 2319-1821 Source Type: Journal Original Language: English
Document Type: Article Number of pages: 03
© Copyright 2014, All rights reserved.

Effect of Chemical Composition of Ordinary Portland cement on the Compressive Strength of Concrete
Arimanwa, M. C,Onwuka, D. O. and Arimanwa, J. I.
Abstract       pdf Full text PDF
Index:10.183x/D532031 aned
This research work assessed the effect of chemical composition of ordinary Portland cement (OPC) on the compressive strength of concrete. Scheffe's simplex technique was used to develop models for the assessment of the compressive strength of concrete produced from five different brands of OPC available for
construction works in South Eastern Nigeria. Five (5) models were formulated, which were used for the prediction of compressive strength of concrete if mix proportions are known and vice versa. The result of this research work was intended to eliminate the difficulty encountered by engineers in making appropriate choices
of concrete mix proportions through the traditional method. It provided a simple way of obtaining information about the compressive strength of concrete made from different brands of OPC. The models were tested for adequacy and the results from laboratory experiments were compared with the responses of the model functions.
Three hundred (300) sample cubes measuring 150 x 150 x 150 mm were produced for compressive strength tests. The result of the work showed that all the cement samples investigated substantially complied with the requirements of the relevant British Standard Specifications. The results also showed that the chemical
composition of cement as well as the mix proportions of the combining elements influenced the value of the compressive strength of the resulting concrete. Cement Sample B produced concrete with the highest 28th day compressive strength value of 27.96 N/mm2. The work concluded that cement with identical chemical
characteristics will produce concrete with similar compressive strength values. It recommended Cement Sample B as the best choice among those investigated, when resistance to compression and rate of strength development are of the essence.
Author Keywords: - adequacy of models, brands of OPC, chemical composition, compressive strength, response functions.
e-ISSN: 2319-183X, p-ISSN: 2319-1821 Source Type: Journal Original Language: English
Document Type: Article Number of pages: 12
© Copyright 2014, All rights reserved.

Survey on Real Time Data Analytical Structural design
Mr.Jayashakthivelmurugan, Sharon Sushantha.J
Abstract       pdf Full text PDF
Index: 10.183x/E533238 aned
"Big Data" is data whose scale, distribution, diversity, and/or timeliness require the use of new technical architectures and analytics to enable insights that unlock new sources of business value. It requires new data architectures, analytic sandboxes, new tools, new analytical methods, integrating multiple skills into new role of data scientist. Organizations are deriving business benefit from analyzing ever larger and more complex data sets that increasingly require real-time or near-real time capabilities .Big data can come in multiple forms. Everything from highly structured financial data, to text files, to multi-media files and genetic mappings. The high volume of the data is a consistent characteristic of big data. Remote sensing is the acquisition of information about an object or phenomenon without making physical contact with the object and thus in contrast to on site observation. Remote sensing is a sub-field of geography. In modern usage, the term generally refers to the use of aerial sensor technologies to detect and classify objects on Earth (both on the surface, and in the atmosphere and oceans) by means of propagated signals (e.g. electromagnetic radiation). It may be split into active remote sensing (when a signal is first emitted from aircraft or satellites) or passive (e.g. sunlight) when information is merely recorded. Since the volume of data recorded by remote sensing application is massive we use big data techniques to manage the data.
Author Keywords: - Bigdata, Hadoop, Mapreduction, data streaming, parallel computing, Remote Sensing.
e-ISSN: 2319-183X, p-ISSN: 2319-1821 Source Type: Journal Original Language: English
Document Type: Article Number of pages: 07
© Copyright 2014, All rights reserved.

Water Transport Development Strategy to Support Development of Regions MIFEE in Merauke
Paulus Raga
Abstract       pdf Full text PDF
Index: 10.183x/F533945 aned
On transparencies or are encoded and stored in a digital form, conventional visual secret sharing (VSS) schemes hide secret images in shares that are either printed. But it will arouse suspicion and increase interception risk during transmission of the shares, the shares can appear as noise-like pixels or as meaningful images. For the secret itself and for the participants who are involved in the VSS scheme, VSS schemes suffer from a transmission risk problem. To protect the secret and the participants during the transmission phase, to address this problem, we proposed a natural-image based VSS scheme that shares secret images via various carrier media. The proposed (n, n) - NVSS scheme can share one digital secret image over n - 1 arbitrary selected natural images and one noise-like share. In digital form or in printed form, the natural shares can be photos or hand-painted pictures. The noise-like share is generated based on these natural shares and the secret image. Thus greatly reducing the transmission risk problem, the unaltered natural shares are diverse and innocuous. We also propose possible ways to hide the noise like share to reduce the transmission risk problem for the share. Experimental results indicate that the proposed approach is an excellent solution for solving the transmission risk problem for the VSS schemes.
Author Keywords:- Visual secret sharing scheme, extended visual cryptography scheme, natural images, transmission risk.
e-ISSN: 2319-183X, p-ISSN: 2319-1821 Source Type: Journal Original Language: English
Document Type: Article Number of pages: 07
© Copyright 2014, All rights reserved.

Air Pollution Micrometeorology Study in the Neighbourhood Of Coastal Super Power Thermal Plant- A Case Study
Chandrasekar.E, Rajendran.M, Gayathri.M
Abstract       pdf Full text PDF
Index: 10.183x/G534653 aned
Air pollution Micrometrology in the Coastal site other than General Micrometrology will be essential now a days in association with Climate Change. Now a Chennai City had been faced recent trend in the Climate never faced in the last 100 years not yet be cleared. It will need further study which has to be needed in the future of the Chennai City. Chennaities and several researches both in water resources engineers and Environmentalist faced the last December Month.
Author Keywords: - Atmospheric stability, Climate Change, Micrometeorology, Mixing Height, Plume Reflection, Super thermal power plant, Wind Rose
e-ISSN: 2319-183X, p-ISSN: 2319-1821 Source Type: Journal Original Language: English
Document Type: Article Number of pages: 08
© Copyright 2014, All rights reserved.

Evaluation of Vitamin C and Some Selected Vitamins B in Human Milk and Infant Formulae for Different Storage Conditions
Klodiola DHAMO, Irida BREGOVINA, Lauresha SHABANI
Abstract       pdf Full text PDF
Index: 10.183x/H535456 aned
Storage of human milk for further use in infant feeding, now is more frequently, as a result of the social- economic activities of breastfeeding mothers. Expressed breast milk is usually stored frozen for consumption at a later time. Currently, human milk is stored in containers with headspace, where the removal of oxygen should minimize the oxidative effects in compounds of stored breast milk during shelf life, and improve nutritional quality.
The purpose of this study was to analyze the quantity of some vitamins and compare any variation in vitamin C & some selected vitamins B (B1, B2, B3) in milk frozen in two different containers; one with air in the headspace versus vacuum sealed storage containers. Vitamin C content were analyzed using high-performance
liquid chromatography (HPLC) Vitamin B1, B2, and B3 were also analyzed using HPLC. Fresh, mature, human milk donated by 4 women with healthy infants was used for analysis. Infant formula as powder and rehydrates liquid was also analyzed. According the results of analyses, the values of infant formula nutrient are generally
higher than the human milk values.
Author Keywords:- high-performance liquid chromatography, human milk, infant formula, Vitamin, B1, B2, B3, C.
e-ISSN: 2319-183X, p-ISSN: 2319-1821 Source Type: Journal Original Language: English
Document Type: Article Number of pages: 03
© Copyright 2014, All rights reserved.


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