Social Reading and Book Sharing Environment

Nowadays e-books become more and more popular. Their spreading is understandable and can be easily explained with the progress of technology and wide internet usage. People read books on their personal computers, notebooks, some of them have special devices for reading and even on their mobile phones. Analyzing fundamental needs of the modern person and opportunities offered by current e-books [1], there are several problems and inconveniences.This research is supported by the SmartBook project, subsidized by the Bulgarian National Science Fund, under Grant D002-111 /15.12.2008 and the project BG 051PO001-3.3.04/13 of the HR Development OP of the European Social Fund 2007-2013

IMPROVING THE DEPENDABILITY OF DESTINATION RECOMMENDATIONS USING INFORMATION ON SOCIAL ASPECTS

Prior knowledge of the social aspects of prospective destinations can be very influential in making travel destination decisions, especially in instances where social concerns do exist about specific destinations. In this paper, we describe the implementation of an ontology-enabled Hybrid Destination Recommender System (HDRS) that leverages an ontological description of five specific social attributes of major Nigerian cities, and hybrid architecture of content-based and case-based filtering techniques to generate personalised top-n destination recommendations. An empirical usability test was conducted on the system, which revealed that the dependability of recommendations from Destination Recommender Systems (DRS) could be improved if the semantic representation of social attributes information of destinations is made a factor in the destination recommendation process

Simulated Evidence on the Distribution of the Standardized One-Step-Ahead Prediction Errors in ARCH Processes

In statistical modeling contexts, the use of one-step-ahead prediction errors for testing hypotheses on the forecasting ability of an assumed model has been widely considered. Quite often, the testing procedure requires independence in a sequence of recursive standardized prediction errors, which cannot always be readily deduced particularly in the case of econometric modeling. In this paper, the results of a series of Monte Carlo simulations reveal that independence can be assumed to hold

Simulated Evidence on the Distribution of the Standardized One-Step-Ahead Prediction Errors in ARCH Processes

In statistical modeling contexts, the use of one-step-ahead prediction errors for testing hypotheses on the forecasting ability of an assumed model has been widely considered. Quite often, the testing procedure requires independence in a sequence of recursive standardized prediction errors, which cannot always be readily deduced particularly in the case of econometric modeling. In this paper, the results of a series of Monte Carlo simulations reveal that independence can be assumed to hold

Improving the Dependability of Destination Recommendations using Information on Social Aspects

Prior knowledge of the social aspects of prospective destinations can be very influential in making travel destination decisions, especially in instances where social concerns do exist about specific destinations. In this paper, we describe the implementation of an ontology-enabled Hybrid Destination Recommender System (HDRS) that leverages an ontological description of five specific social attributes of major Nigerian cities, and hybrid architecture of content-based and case-based filtering techniques to generate personalised top-n destination recommendations. An empirical usability test was conducted on the system, which revealed that the dependability of recommendations from Destination Recommender Systems (DRS) could be improved if the semantic representation of social attributes information of destinations is made a factor in the destination recommendation process.Content-based filtering; Recommender Systems; Ontology; Social Attributes, Destination recommendation

Paradigma Interior Kantor Kemarin, Saat Ini dan Hari Esok pada Kantor PT TPS Surabaya

Perkembangan penggunaan teknologi pada ruangan kantor berkembang dengan sangat pesat. Memberikan dampak pada gaya bekerja dan kebutuhan ruangan pada sebuah kantor. Dulunya sebuah kantor terbentuk sangat kaku baik dari organisasi maupun fasilitas yang ada. Saat ini sebuah kantor memiliki fasilitas yang sangat adaptif dan dinamis mengikuti perkembangan generasi pengguna dan kebutuhan produktifitas dari sebuah kantor itu sendiri. Pada masa setelah Covid – 19 membuat sebuah kantor harus merubah kebiasaan dengan memanfaatkan semua teknologi yang ada dan terdepan sehingga memaksa sebuah kantor untuk merubah kebiasaan dalam bekerjanya. Hal ini akan membuat di kemudian hari sebuah fasilitas kantor akan menjadi sangat fleksible dan dinamis karena harus menjadi adaptif dengan perubahan keadaan yang ada. Tujuan dilakukan penelitian ini agar memberikan kesadaran kepada pemilik atau pengelola kantor PT TPS Surabaya secara khusus dan secara umum di Surabaya sebagai dasar untuk mempertimbangkan saat melakukan pemeliharaan maupun pengembangan aset berikutnya. Metode penelitian ini menggunakan metode Observasi Desktriptif dengan melihat kondisi eksisting yang ada saat ini pada sebuah kantor PT TPS Surabaya dan mendapatkan data primer dari survey eksisting

Jacobian-free diagonal Newton's method for solving nonlinear systems with singular Jacobian

The basic requirement of Newton’s method in solving systems of nonlinear equations is, the Jacobian must be non-singular. This condition restricts to some extent the application of Newton method. In this paper we present a modification of Newton’s method for systems of nonlinear equations where the Jacobian is singular. This is made possible by approximating the Jacobian inverse into a diagonal matrix by means of variational techniques. The anticipation of our approach is to bypass the point in which the Jacobian is singular. The local convergence of the proposed method has been proven under suitable assumptions. Numerical experiments are carried out which show that, the proposed method is very encouraging