Informatics Publishing Limited

Kiran Agrahari ¹, Varsha ¹

Affiliations
1 Home Science, Kamla Nehru Institute of Physical and Social Sciences, Sultanpur (U.P.), IN

Abstract

The objective of present investigation was to “development and sensory evaluation”. Various of nutri drinks like soup, shake, juice, shake etc have a sweet flavour, soft texture and are easy to digest. Nutri drinks are highest source of nutrients like manganese, potassium, carotene,various vitamins and water. They are also a very filling food. Nutri drinks are considered useful in defending against cancer diseases, diabetes, heart diseases. The developed products were given to the panel of 10 judges products were tested for flavour and taste, body and texture , colour and appearance and over all acceptability. The organoleptic evaluation of products was done by using score card methods (9-point hedonic scale). The result of nutri products i.e. broccali soup, pepper corn milk, (T₀) and (T₁) were best in all treatments in case of all sensory attributes. The over all acceptability (T₁) broccali soup, pepper cron milk, were 7.9 and 9.0, respectively.

Keywords

Nutri, Drink, Development, Acceptability, Super Food.

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Varsha ¹, Manju Bala ², Manoj Kumar ³

Affiliations
1 Computer Science engineering, IKG Punjab Technical University, Kapurthala 144601,(Punjab), IN
2 Khalsa College of Engineering & Technology, Amritsar 143001, (Punjab), IN
3 DAV institute of Engineering, Management & Technology, Jalandhar 144001 (Punjab), IN

Abstract

Swarm Intelligence has nature inspired intelligence dependent on aggregate conduct of swarms having self-sorted out nature. Different techniques are being planned as far as ACO, PSO, Fish Swarm, Bats Swarm, Bacterial Foraging, TABU search and so forth.TABU search is regarded as heuristic method derived by Glover in 1986 depends on the memory structure. TABU search is used to determine the engineering design problems having continuous and real number variables. TABU is utilized to take care of different discrete issues in various regions of sciences and engineering. Since its advancement TABU has pulled in loads of specialists to take up its calculations and apply to take care of different complex issues and has been demonstrated the best strategy to get enhanced outcomes. The objective of this research paper is to implement TABU search to make the protocol more efficient and effective. This paper proposed MSEEC (multilevel stable and energy efficient clustering protocol) utilizing TABU mechanism in which normal nodes are randomly changed after each round in the territory of 200m×200m.The recreation is done under the MATLAB environment and observed the performance of TABU-MSEEC against MSEEC protocol on 4% increase in the case of first node dead (FND) and 20% increase in the case of last node dead (LND) and average remaining energy is delayed by 12% in advance nodes and 20% in super nodes respectively.

Keywords

Wireless Sensor Network, Heterogeneity, TABUmechanism, MATLAB, FND, LND and Average Remaining Energy.

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Smita Sunil Gawade ¹, Nikita ¹, Varsha ¹, Geetanjali ¹, Mamata ¹, Vaishali ¹

Affiliations
1 Tulasi Angan, B-307, Puma Nagar, Chichwad, Pune 411019, IN

Abstract

One of the greatest challenges faced by the modern world is Diabetes mellitus (DM). The physical, social and economic factors involved in the management of diabetes are a continuous strain for the health sector and the government agencies. It is expected that approximately 366 million people will be affected by Diabetes Mellitus by the year 20301. Due to the increased number of people with Diabetes Mellitus using insulin in recent years, more emphasis should be given to the standardization and improvement of insulin administration technique, focusing on properly teaching this technique so that people become aware of their responsibility and make less mistakes during insulin administration. In patients with diabetes, physicians are often concerned about increasing functional limitations that may impede a successful self-management. In particular, the correct handling of the insulin injection requires complex self-management abilities. Among these functional limitations, loss of visual acuity, loss of manual abilities and cognitive decline are of most importance. Considering all this it is decided to undertake study to assess the factors hindering in self insulin administration among diabetic individuals. A descriptive research design and purposive sampling technique was used. Sample size was 100. Structured checklist was used to assess demographic data, factors such as physical, cognitive, environmental, economic, emotional. Findings of the study shows that 61% are suffering with pain and 46% with bleeding due to injection. 54% samples are unaware about rotation of injection site and 48% samples are unaware about insulin drug temperature. 32% samples have skipped insulin due to more workload at workplace and 28% due to travelling. Majority 45% samples cannot afford new syringe, pen and needle tip for every injection. Comparison of factors hindering self insulin administration among temporary and permanent users shows that temporary users, 43.8% have injection loading difficulties and 63% have injection carrying difficulties where as more number of (50%) permanent users have experienced skin color changes at the site of injection. More number of temporary users fearful, anxious, embarrass and felt overburden for family because of insulin administration and have skipped insulin due to more workload and travelling than permanent users. The finding of the study will be helpful to create awareness related to safe self insulin administration practices by means of modern education technology.

Keywords

Observed Structured Clinical Evaluation, Community Health Nursing Practices, Community Health Nursing, Student's Evaluation.

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Varsha ¹, Manju Bala ², Manoj Kumar ³

Affiliations
1 Computer Science engineering, IKG Punjab Technical University, Kapurthala 144601,(Punjab), IN
2 Khalsa College of Engineering & Technology, Amritsar 143001, (Punjab), IN
3 DAV institute of Engineering, Management & Technology, Jalandhar 144001 (Punjab), IN

Abstract

In Swarm Intelligence, various techniques are being planned as far as ACO, PSO, Fish Swarm, Bats Swarm, Bacterial Foraging, TABU, GA search and so forth. TS and GA is a single algorithm that firstly creates a set of random valid solutions, and for several iterations it optimizes them using a TS-based method. Afterwards, it takes this set of optimized solutions as the initial population for the GA, and iterates until the adopted stop criteria have been met. The objective of this research paper is to implement TABU-GA search to make the protocol more efficient and effective. This paper proposed MSEEC (multilevel stable and energy efficient clustering protocol) utilizing TABU-GA mechanism in the territory of 200m×200m.The recreation is done under the MATLAB 2013 a environment and observed the performance of TABU-GA MSEEC against MSEEC protocol on 4% increase in the case of first node dead (FND) and 28% increase in the case of last node dead (LND).

Keywords

Wireless Sensor Network, Heterogeneity, TABU-GA Mechanism, MATLAB, FND, LND.

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Sannia ¹, Varsha ¹

Affiliations
1 Department of Computer Engineering, CT Institute of Engineering and Management Technology, Jalandhar, Punjab, IN

Abstract

Routing in wireless sensor network is a key challenge. The appropriate routing is done in wsn by using swarm intelligence approach. Various swarm intelligence techniques are available like ant colony optimization, particle swarm optimization, artificial bee colony optimization etc. But hybrid approach of TABU and PSO is a promising one. The integration of TS to PSO allows algorithm to sustain the population diversity and avoiding directing to misguiding local optima. Average energy consumption is high in TS as comparison with PSO and less calculation time is utilized in TS than PSO. The output of the experiment show that the optimize algorithm not only reduce the number of paths but also finding the shortest path at the place of largest path. The simulation result shows that combination of TABU-PSO performs better than Energy Efficient PSO in terms of dead nodes, alive nodes and throughput of the network.

Keywords

Wireless Sensor Networks, Routing, TABU/PSO Dead Nodes, Alive Nodes and Throughput.

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