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This study aims to examine research collaboration between universities and industry in the field of computer science using bibliometric methods. To further understand the impact of individual countries on university-industry (UI) collaboration, data were retrieved from the computer science journal papers included in the Science Citation Index and published during the period 2002--2011. The density, degree centrality, betweenness centrality, and closeness centrality of UI collaborative networks were calculated in order to ascertain the core countries involved in international UI collaboration. This study investigates university-industry collaborative papers (UI papers) at the global and country levels. At the global level, the results show an increasing trend in UI papers and a stable UI collaboration ratio during the last decade. The average number of authors for UI papers is 4.13, which is higher than that for all other papers. Most UI papers result from two-institution collaboration, but we observed an increase in the number of UI papers produced by multiple universities and industrial entities. At the country level, the results also show that international UI paper collaboration has intensified. Meanwhile, the USA is the dominant collaborative partner with many countries and has produced the highest number of UI papers globally. [ABSTRACT FROM AUTHOR]

A global trend nowadays is shifting the attention from the overall university ranking towards the ranking in a particular scientific field: “Ranking by Subject” and/or “Field Ranking”. The objective of the research presented in this paper is the review of the Information and Communication Technologies (ICT) aspect of the universities performance. The major concern of the study is the uncertainty and sensitivity of ICT field ranking, regarding the weighting scheme of a particular ranking methodology. The paper thus examines the ICT field-based section of the Quacquarelli Symonds (QS) and URAP rankings and gives a detailed comparison of the stability of these ranking methods. According to the results, URAP ICT ranking is shown to be more stable than QS ICT ranking, with a lower level of uncertainty and sensitivity to different model assumptions. Moreover, we gave an overview of particular standings of Indian universities in both QS and URAP ICT rankings, tackling the issue of the uncertainty and sensitivity of their positions. [ABSTRACT FROM AUTHOR]

The Internet contains thousands of Frequently Updated, Time-stamped, Structured (FUTS) data sources. This type of information represents a different class of information that is not properly handled by existing data management systems such as databases, data warehouses, search engines, pub-sub, event processing or information retrieval systems. In this position paper, we describe 9ticks, a system we are designing to collect, parse, store, query and disseminate FUTS information. 9ticks is helping us understand that all those steps raise new challenges but also bring new opportunities. In this paper, we summarize the challenges identified and present our vision of an end-to-end FUTS management system. [ABSTRACT FROM AUTHOR]

Traditional operating systems' architectures are primarily focused on achieving superior performance, albeit at the expense of sacrificing reliability. This approach is clearly inadequate, given our growing dependence on computer systems for essential and critical services. Reliability should thus be considered as a first-class citizen alongside functionality and performance, while designing future operating systems. The present paper summarizes the current trends and best practices employed to improve the reliability of operating systems. We also draw attention to the limitations and drawbacks of the prevalent approaches, discuss outstanding issues and propose some promising research directions, which may be explored to build highly reliable operating systems. [ABSTRACT FROM AUTHOR]

A complete analysis of Terahertz (THz) wave generation and detection of Silicon Nanowire MOS Field-Effect Transistor (SNFET) is presented in this paper. Based on the developed SNFET-THz device theory, the dependence of THz detection of SNFET on bias and structure parameters are obtained and illustrated. The numerical technique to solve fluid dynamic equation groups, which govern the THz wave transport in SNFET, is also introduced. Based on the developed numerical tool, the THz generation and its instability are demonstrated and analyzed in details. From developed numerical simulation program, the evolution processes of THz plasma wave in generation and detection modes are presented. [ABSTRACT FROM AUTHOR]

In this paper we propose an ontological OLAP (on-line analytical processing) framework to integrate distributed energy sensor data. The OLAP data cube in the framework annotated with semantics with other supporting mechanisms can deal with the issues of the schema inconsistency that may result from integration of heterogeneous data sources. The proposed approach provides a way of storing, reusing and composing OLAP cubes in order to increase system usability. A prototype of the proposed framework based on a number of existing tools such as protégé, Jess, and Fuzzy J has been developed to demonstrate its feasibility. [ABSTRACT FROM AUTHOR]

Data privacy and security is a major concern for M-commerce and the Internet of Things. Security measures such as encryption may be implemented to protect confidentiality, integrity and availability. Limitations in processing power, battery life, communication bandwidth and memory constrain the applicability of existing cryptography standards for mobile devices. This paper describes an experiment to investigate the computational requirements for some of the most popular cryptographic algorithms with reference to power and resources consumption. Given reliable information on battery consumption, users can make informed decisions on which security schemes to use. [ABSTRACT FROM AUTHOR]

Improving energy efficiency in order to reduce CO2 emissions is a permanent challenge in the European space. Smart metering could help for improving energy efficiency by offering information about the way in which the energy is used. Smart metering will be based on large volumes of sensor data, since energy monitoring will bring together sensor data from various critical areas. The main purpose of this paper was to present the selection mechanism for a scalable storage solution, based on the requirements of the DEHEMS (Digital Environment Home Energy Management System) project. With regular sensor readings coming at every 6 seconds, there is an impressive amount of data collected even for the minimal target of about 250 households, 10 sensors per user. With these huge data streams that are non-stationary time-series data, collected at discrete intervals, the DEHEMS project has to offer a solution for storing and retrieving sensor data in a responsive way. We have tested both collection speed and aggregation speed for reasonable data streams of sensor data. The tests were performed on various database models, with their associated representations, including relational databases, key-value stores, column stores, self-tuning databases, as well as time-series enabled database systems. These experiments confirmed that column stores and keyvalue stores perform better than relational databases, while time-series databases outperform all the others. [ABSTRACT FROM AUTHOR]

Wireless sensor networks are used for sensing data if wired communication is not suitable. Connection losses and depletion of nodes, however, result in reduced data availability of such networks. This is problematic in upcoming scenarios like health care or home automation where data availability is highly important. In this paper, we present an approach to provide robust data storage for wireless sensor networks. We achieve this goal by providing FAME-DBMS, a customizable database management system which can be tailored according to the varying requirements of a sensor network. FAME-DBMS provides reliable data storage using security and integrity features, transaction management and recovery and a customizable query engine. Since data reliability in wireless sensor networks also suffers from node failures, we propose a new S-RAID storage layer inspired from the RAID approach of server systems. This S-RAID is integrated in FAME-DBMS to store data redundantly and distributed in a wireless sensor network and thus provides access to data even when nodes fail. [ABSTRACT FROM AUTHOR]