InShopnito: an advanced yet privacy-friendly mobile shopping application

Mobile Shopping Applications (MSAs) are rapidly gaining popularity. They enhance the shopping experience, by offering customized recommendations or incorporating customer loyalty programs. Although MSAs are quite effective at attracting new customers and binding existing ones to a retailer's services, existing MSAs have several shortcomings. The data collection practices involved in MSAs and the lack of transparency thereof are important concerns for many customers. This paper presents inShopnito, a privacy-preserving mobile shopping application. All transactions made in inShopnito are unlinkable and anonymous. However, the system still offers the expected features from a modern MSA. Customers can take part in loyalty programs and earn or spend loyalty points and electronic vouchers. Furthermore, the MSA can suggest personalized recommendations even though the retailer cannot construct rich customer profiles. These profiles are managed on the smartphone and can be partially disclosed in order to get better, customized recommendations. Finally, we present an implementation called inShopnito, of which the security and performance is analyzed. In doing so, we show that it is possible to have a privacy-preserving MSA without having to sacrifice practicality

Photometric redshift estimation based on data mining with PhotoRApToR

Photometric redshifts (photo-z) are crucial to the scientific exploitation of modern panchromatic digital surveys. In this paper we present PhotoRApToR (Photometric Research Application To Redshift): a Java/C++ based desktop application capable to solve non-linear regression and multi-variate classification problems, in particular specialized for photo-z estimation. It embeds a machine learning algorithm, namely a multilayer neural network trained by the Quasi Newton learning rule, and special tools dedicated to pre- and postprocessing data. PhotoRApToR has been successfully tested on several scientific cases. The application is available for free download from the DAME Program web site.Comment: To appear on Experimental Astronomy, Springer, 20 pages, 15 figure

Coding without sight: Teaching object-oriented java programming to a blind student

In this paper, I describe my experience of teaching object-oriented Java programming to a blind student. This includes the particular environment setup used (a screen reader, JAWS, and an advanced Windows-based text editor, Textpad) and alterations made to the course to accommodate the blind student's special needs. I also discuss how a number of difficulties encountered by the blind student, such as compiling Java applications using the command-line interface and javac, a Java compiler, was addressed and provide some practical recommendations based on my experience

Programs for Children the Neglected World

What do children watch on Indonesian television? This article tries to answer this question in the conviction that TV shows made for children require an understanding of their needs in order to grow, motorically, cognitively, psychologically, socially, and culturally. From my own fieldwork and research done on the data provided by my informants, I found that on television during the time slot set for children there are shows that are not intended for children to watch. I also found that children enjoy two favourite television shows in Indonesia the most, which are not programs designated for children. The conclusion is that Indonesian television pays little attention to children\u27s needs, and children are neglected