A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Sudha, D.
- Depression and Well-Being in Women undergoing Fertility Treatment
Authors
1 Department of Psychology, Avinashilingam University for Women, Coimbatore, IN
Source
Indian Journal of Health and Wellbeing, Vol 3, No 1 (2012), Pagination: 170-174Abstract
From a Test-tube Baby Centre, Coimbatore, Tamil Nadu, India, 40 women undergoing infertility treatment were screened for depression and well-being using Case Study Schedule (2011), Beck Depression Inventory (Beck, 1971) and Well-Being Index (WHO, 1998). Out of that, 35 women with moderate to severe depression and worst well-being were chosen to serve as the sample, by Purposive Sampling Method. Psychological intervention involving Relaxation Training coupled with Autosuggestions and Cognitive Restructuring (Natesan, 2004) and Visualization (White, 2004) were administered on the all subjects for six sessions. After psychological intervention, they were re-assessed for depression and well-being using Case Study Reassessment Schedule (2011), Beck Depression Inventory and Well-Being Index. Results revealed that the mean differences in depression and wellbeing before and after psychological intervention were statistically significant.Keywords
Infertility, Depression, Well-Being, Psychological Intervention.
- A Unified Access to Multiple Mail Servers (UAMMS)
Authors
1 Department of Information Technology, Mother Teresa Women’s University, Kodaikanal, IN
2 Information Technology, IN
Source
Networking and Communication Engineering, Vol 1, No 4 (2009), Pagination: 148-151Abstract
Almost everyone in the corporate world has at least one Web-based e-mail account. In the normal system, user having multiple mail accounts from different mail servers have to access their mail accounts by using the different mail clients corresponding to the appropriate mail server. For each mail ID, interface connects with the different server. The DB server contains the details of the username and password of the users. Web Interface connects the mail client with the Database server and Mail server. This way of mail retrieval is so costly and involves large downloading time as it does not download the mailbox alone from mail servers. In addition to the mails, they download the additional information like advertisement, news,E-commerce, etc… Currently very few integrated system for individual’s multiple mail accounts which do not solve the existing problems. This system UAMMS is maintain a single interface for the different mail ID’s of the particular user, a username and password are specified. Instead of specifying the username and password for each e-mail ID’s, the mail ID’s are grouped and the username and password are given, thereby generating dynamic pages, displaying email messages from various email accounts at the client’s desktop through the web interface. This system is implemented using the MVC (model view Controller) architecture.
Keywords
IMAP–Internet Access Protocol, JAF–Java Activation Framework, RFC–Request for Comments, UDP–User Datagram Protocol.- Active Reranking for Web Image Search
Authors
1 Department of Information Technology, Christ College of Engineering and Technology, Puducherry-605005, IN
Source
Biometrics and Bioinformatics, Vol 4, No 5 (2012), Pagination: 206-210Abstract
Image search Reranking methods usually fail to capture the user's intention when the query term is ambiguous.Therefore, Reranking with user interactions, or active Reranking, is highly demanded to effectively improve the search performance. The essential problem in active Reranking is how to target the user's intention. To complete this goal, this paper presents a structural information based sample selection strategy to reduce the user's labeling efforts. Furthermore, to localize the user's intention in the visual feature space, a novel local-global discriminative dimension reduction algorithm is proposed. In this algorithm, a sub manifold is learned by transferring the local geometry and the discriminative information from the labeled images to the whole (global) image database. Experiments on both synthetic datasets and a real Web image search dataset demonstrate the effectiveness of the proposed active Reranking scheme, including both the structural information based active sample selection strategy and the local-global discriminative dimension reduction algorithm. Index Terms-Active reranking, local-global discriminative (LGD) dimension reduction, structural information (SInfo) based active sample selection, web image search reranking.