Conference Publications

The idea behind this study is to provide a solution on some problems faced in Indian Railways. Points taken in concern while working on this study are Cleanliness & power generation. Those it has been mentioned everywhere to do not use lavatories while train is at station, still it is observed that such notice is merely followed. Using some techniques like piezoelectric sensors for power generation and RFID for lavatory door locking automation, we can solve the problem faced.

The human face has been serving as an identity since the beginning of mankind but it has more to offer than a recognition key of an individual. Facial features helps define the gender, expression, reactions and age of that individual. The objective of this paper is to take in consideration the ability of facial features to determine the age of an individual. This is done by taking in regard certain geometrical factors like distinguishable landmarks, the different valleys and peaks that contribute for facial features termed as nodal points. Each human face has approximately 80 nodal points i.e. just 80 pixels out of thousands of them are to be segregated for further use. Some of these are distance between the eyes, jaw line length, eye sockets depth, nose width, cheekbones shape, wrinkle topography etc. Taking into account the surface and age data we propose Histogram of Gradient algorithm along with Back Propagation Neural Network for the age and gender classification. The proposed algorithm do the classification in three different age group(child, adult and old) in addition to this we approach for gender classification in the age group child, adult and old with the same technique. The acquired results for the age classification gives an accuracy of around 92%. For the gender classification it works well for the old age group.

European tourist markets have continuously played a significant role in generating revenue for the Thai economy. However, the penetration of this tourism market segment is not so easy because Thailand has faced both direct and indirect rivals and neighboring and overseas rivals. Tourism market segmentation is considered an effective and important marketing tool to promote marketing strategies to meet the more specific needs of tourists. The objectives of this study were to segment European tourists visiting Phuket Province, and to compare these segments according to demographic variables and the level of destination satisfaction and loyalty. The hierarchical cluster analysis was utilized to segment tourists based on activities and clusters/segments and was compared in terms of demographic characteristics using Ch-Square statistic and destination satisfaction and loyalty using one-way ANOVA. The findings revealed that five segments of tourists were identified: ‘recreational tourist?, „fuzzy tourist?, „sports tourist?, „cultural tourist? and „leisure tourist?. According to the Chi-Square statistic, no significant differences in terms of demographic variables were found across the five segments. In addition, the result of ANOVA revealed that no statistical differences were found among segments across all items of destination satisfaction except for worthwhile experiences.For destination loyalty, significant differences in the intention and willingness to pay to revisit Phuket were found among these segments.

Steganography techniques are helpful to hide the secret information in cover media and thus aid in enhancing the security of sensitive data during transmission and storage. Applying discrete wavelet transform helps to convert the image to the frequency domain. Haar wavelet transform is used to obtain the low frequency approximate (LL) detail and three high frequency detailed (LH, HL, HH) details. As the detailed sub bands have less sensitive information these are used for embedding the secret information. The secret information in the form of image can be reduced to one fourth size using haar transform. Encoding methods can be used to reduce the size of the image and encrypting the compressed data with the known key can help to enhance the security. The quality of stegoimage is measured using PSNR. The hiding capacity can be measured to compare with the other techniques of steganography.

To measure the quality of health care services patient satisfaction is used as one of the most important indicators. The study aims to identify factors affecting patient's satisfaction at primary health care clinics. In evaluations of health care quality, patient satisfaction is a performance indicator measured in a self-report study and a specific type of customer satisfaction metric. This study deals with the customer satisfactions based on primary data such as general medicine, general surgery, gynaecology and orthopedics etc., which are collected from patients in private hospital, Coimbatore, Tamil Nadu, India. It was also found that reputation of hospitals is influencing factor along with extra facilities, available in the hospital. There was significant influence of age and visits of the respondents on patients? loyalty.

Web Services describes an identical way of integrating Web-based applications. For satisfying users demands these services have higher probability. All these services are publicly offered as a web data in the web repository. Web Services are of two kinds likely SOAP and REST offer different methods to invoke a service. Mobile and cloud applications, social networking websites, and automated business processes are among the drivers fueling the need for RESTful Web APIs. A survey on approach that is to be applied for analyzing and selecting web services from the number available web service is be conducted.

The aim of this study is to investigate, identify and compare Human Resource Management (HRM) practices in private hospital in Tiruchirappalli, Tamil Nadu India. Self developed survey; based on literature reviews are an instrument used for data collection. The findings of this study such as social characteristics sex, ages religion, community, nativity etc., are important for understanding the needs of human resource management practices in hospitals. This study also deals with the contributions of different factors towards quality care of patients and work culture among the staff.

This paper presents a novel long-term renewable energy (RE) planning model for remote communities (RCs). Over the past few years, there has been a significant increase in assessing and deploying RE projects in northern remote locations. The model proposed in this paper adds to such efforts by creating a multiple-year community planning tool. This can be used to determine economic and technically feasible RE solutions, considering the current operating structures, electricity pricing systems, subsidy frameworks, and project funding alternatives under which RE can be deployed in RCs. The proposed model is implemented in a case study. The case study shows that RE projects can be feasible undercurrent operating conditions, for a set of funding alternatives that share the economic risks.