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SHG is the best-root for triggering IGPs in rural and tribal areas and especially areas not properly connected to mainstream living. Coined with the multi-pronged objectives of development and empowerment of weaker section of the society, the strategy and methodology adopted to address the issues are taking care of the need of the marginalized at different economic strata’s through creating enabling environment for addressing the issues. The study is broadly measuring the level and impact of micro credit interventions, functionality and viability of institutions to management the credit, Micro Credit Plans for Self-help Groups as well as the sustainability of the initiatives following a peoples approach.

This paper deals with effect of plants an element of landscape on micro-climate inside aluminum powder producing industry. With the objective to bring micro-climate conditions within or near comfort zone and also create better health condition to benefit health of workers in industry. The experiments were conducted with increase in density of plants in shortlisted experimental area. Identification and adoption of plants with glossy foliage for aluminium powder industry of grade (PAG-4C) is crucial for optimum results. The outcome has shown encouraging results to facilitate architectural intervention towards creating conducive work environment within the industry.

We are very happy to announce that from 10th March 2017, Mr. Amit Kumar has joined the team of Elixir Editorial Advisory Board. He/She will carry a special responsibility for dealing with manuscripts based on Electrical and Electronics Engineering. The appointment of Mr. Amit Kumar as member Editorial Advisory Board strengthens the links and will make it easier for prospective authors to establish contact with the journal.

We are very happy to announce that from 9th June 2018, Mr. Maryam Jamali has joined the team of Elixir Editorial Advisory Board. He/She will carry a special responsibility for dealing with manuscripts based on Languages and Literature. Mr. Maryam Jamali working as Lecturer, Yazd University, Department Languages and Literature, Yazd, Iran. The appointment of Mr. Maryam Jamali as member Editorial Advisory Board strengthens the links and will make it easier for prospective authors to establish contact with the journal. Please send any expressions of interest to elixirpublishers@gmail.com.

In this paper, a Hybrid approach has been developed by combining Taguchi Method, grey relational analysis method and fuzzy logic, to reap their advantages in the drilling process. Using hybrid approach a single hybrid grade is determined for multiple response characteristics. Drilling experiments has been performed on Al6061 material with coated and uncoated HSS tools under Minimum Quantity Lubrication (MQL) condition. The controllable parameters such as speed, feed, lubricant, tool material and point angle which influence the responses like power, temperature, Burr height, surface roughness are identified. The responses are analyzed using this hybrid approach and optimum controllable parameter combination is identified.

Thermal energy can be stored as latent heat in which energy is stored when a substance changes from one phase to another by either melting or freezing. Paraffin wax has been widely used for latent heat thermal energy storage system applications due to large latent heat and desirable thermal characteristics. Paraffin wax has lower heat transfer rates during melting/freezing processes due to its inherent low thermal conductivity. This paper reviews and summaries the recent experimental and theoretical works on the thermal conductivity enhancement of paraffin wax.

In this paper, we study a lower bound on the blockwise periodic error correcting perfect codes along with lower and upper bounds on periodic solid burst error correcting codes.

The present investigation reports the results of monitoring study focusing on groundwater quality of Tiruchengode taluk, Namakkal district during Pre and Post monsoon period of 2012. This has been determined by collecting groundwater from 23 different sampling stations and subjecting the samples to a comprehensive physico chemical analysis. For calculating the WQI, the following 10 parameters have been considered i.e. Temperature, pH, Alkalinity, Dissolved oxygen, TDS, Total Hardness, Calcium, Magnesium, Chloride, Fluoride. The WQI during Pre-monsoon season varied from 135.01 to 382.75, while for Post-monsoon, it was found between 76 and 257. Significantly lower WQI for the Post-monsoon season was observed, indicating deterioration of the groundwater overall in corresponding season. The study revealed that groundwater from only 17.39 % locations was fit for domestic use, thus reveals that the groundwater of the study area needs some degree of treatment before consumption, and regular groundwater quality monitoring should be encouraged as a strategy towards groundwater quality protection and conservation.

In this paper, one of the artificial intelligence techniques called networks for prediction of reliability of the tire is neuro-fuzzy network. At first key indices which are effective on reliability of tire are identified and then some rules have been designed and applied for system training with use of experts’ views. ANFIS system implements Takagi –Sugno fuzzy system as a system and inference and deduction of the system are mixed and an efficient tool is provided for simulating a nonlinear mapping. In the performed simulations, some 4-input networks are different with membership functions and have been studied in different iterations for prediction and finally the model which had high predictability was selected as optimal model.

Quality Assessment System in Construction (QLASSIC) was promoted by Construction Industry Development Board (CIDB) in late 2006. Apparently its main aim is to assess objectively the level of quality of the building construction work. Essentially the program comprised of two main components which are the assessment standard known as Construction Industry Standard (CIS) 7:2006 and the operation of the QLASSIC assessment. After more than five years of its existence, inevitably there are several issues prevailed that need to be addressed. Having said that leads to the primary objective of having this study is to explore the potential areas of improvement in QLASSIC. The respondents for this research were the construction personnel that have fair knowledge on CIS 7: 2006 and considerable years of experience in QLASSIC assessments. The data were collected through five focus group workshops consisted representative from the key stakeholders in QLASSIC assessments namely developer, consultant, contractor, Housing Tribunal and QLASSIC assessor. Altogether 66 respondents have participated in the workshops. This study had utilized questionnaire form as the research instrument. The data collected were analyzed using SPSS version 17. Generally this study was able to identify potential areas of improvement in CIS 7: 2006 as well as the operational of QLASSIC assessment. The output of this research is expected to provide the preliminary indications as areas that need to review and improve in an effort to improvise the implementation of QLASSIC by CIDB.