This paper describes our efforts in developing intelligent corporate sustainability report analysis software based on machine learning approach to text categorization and illustrates the results of executing it on real-world reports to determine the reliability of applying such approach. The document ultimately aims at proving that given sufficient training and tuning, intelligent report analysis could at last replace manual methods to bring about drastic improvements in efficiency, effectiveness and capacity.
Wireless technology has been introduced and growing since early twentieth century, but there are still environments the current technologies find it difficult to penetrate. The dense jungle terrain, for example, pose a huge challenge for the 0.12 m wavelength of the Wi-Fi signals, but the FM radio frequency signals at a wavelength of 3 m function a lot better. This paper studies the possibility of using a very low frequency, down to the range of audible frequencies to try and identify the frequency band that can be used, ubiquitously and unobtrusively. Sound can be considered as a ubiquitous signal due to obvious reasons and the search is to find the unobtrusive frequency band that can be a candidate frequency for data carrier signals. The paper is presented in two sections, the first section does a geographically and age neutral survey to identify the unobtrusive signal and second section analyses the noise profiles in these frequency bands.
Even in these days where data networks has increased much in terms of speed, bandwidth and penetration, the need for a low power, low bandwidth, ubiquitous networks is more pronounced than ever before. As the devices get smaller, their power supply is also limited, in according to the definition of “dust”, “skin” and “clay” in the ubiquitous computing paradigm. The possibility of these devices to be present in real world depends a lot on the key capability they must possess, which is to be network enabled, ubiquitously. This paper looks at the possibility of using the ever present signal “sound” as a ubiquitous medium of communication. We are currently experimenting on various possibilities and protocols that can make use of sound for text transmission between two electronic devices and this paper looks at some attempts in this direction. The initial phase of the experiment was conducted using a very large spectrum and encoding the entire ASCII text over audible sound spectrum. This gave a very large spectrum spread requirement which a very narrow frequency gap. The experimental results showed good improvement when the frequency gap was increased.
This paper reviews the types of mobile Augmented Reality (mAR) interface being utilized in various applications such as education, advertisement, production, tourism and other applications. The objective of this paper is to examine the limitations on the types of mAR when they are used in higher education in terms of interaction between learning, teaching and instructional design. Based on the review, it can be concluded that there is an insufficient mAR interface being used in viewing the augmented images for classroom learning. For example, there are only two interfaces found that is being applied in the current mAR education applications. A comparative review presented in this paper suggests the appropriate mAR interface that can be implemented in education that could possibly enhance the learning outcomes.
The development of mechanical models of the humerus-prosthesis assembly represent a solution for analyzing the behavior of prosthesis devices under different conditions; some of these behaviors are impossible to reproduce in vivo due to the irreversible phenomenon that can occur. This paper presents a versatile model of the humerus-prosthesis assembly. The model is used for stress analysis and displacement distributions under different configurations that correspond to possible in vivo implementations later on. A 3D scanner was used to obtain the virtual model of the humerus bone. The endoprosthesis was designed using 3D modeling software and the humerus-prosthesis assembly was analyzed using Finite Element Analysis software.
Finding the optimal path between two locations in the Colombo city is not a straight forward task, because of the complex road system and the huge traffic jams etc. This paper presents a system to find the optimal driving direction between two locations within the Colombo city, considering road rules (one way, two ways or fully closed in both directions). The system contains three main modules – core module, web module and mobile module, additionally there are two user interfaces one for normal users and the other for administrative users. Both these interfaces can be accessed using a web browser or a GPRS enabled mobile phone. The system is developed based on the Geographic Information System (GIS) technology. GIS is considered as the best option to integrate hardware, software, and data for capturing, managing, analyzing, and displaying all forms of geographically referenced information. The core of the system is MapServer (MS4W) used along with the other supporting technologies such as PostGIS, PostgreSQL, pgRouting, ASP.NET and C#.
This paper examines some general aspects of partitioning software architecture and the structuring of complex computing systems. It relates these topics in terms of the continued development of a generalized processing model for spatial-temporal processing. Data partitioning across several copies of a generic processing stack is used to implement horizontal scaling by reducing search space and enabling parallel processing. Temporal partitioning is used to provide fast response to certain types of queries and in quickly establishing initial context when using the system.
Meta-CASE systems simplify the creation of CASE (Computer Aided System Engineering) systems. In this paper, we present a meta-CASE system that provides a web-based user interface and uses an object-relational database system (ORDBMS) as its basis. The use of ORDBMSs allows us to integrate different parts of the system and simplify the creation of meta-CASE and CASE systems. ORDBMSs provide powerful query mechanism. The proposed system allows developers to use queries to evaluate and gradually improve artifacts and calculate values of software measures. We illustrate the use of the systems by using SimpleM modeling language and discuss the use of SQL in the context of queries about artifacts. We have created a prototype of the meta-CASE system by using PostgreSQL™ ORDBMS and PHP scripting language.
In this paper we present a design of a student model based on generic fuzzy inference design. The membership functions and the rules of the fuzzy inference can be fine-tuned by the teacher during the learning process (run time) to suit the pedagogical needs, creating a more flexible environment. The design is used to represent the learner’s performance. In order to test the human computer interaction of the system, a prototype of the system was developed with limited teaching materials. The interaction with the first prototype of the system demonstrated the effectiveness of the decision making using fuzzy inference.
The basic idea addressed in this research is developing a generic, dynamic, and domain independent natural language interface to databases. The approach consists of two phases; configuration phase and operation phase. The former builds data synonyms tree based on the database being implemented. The idea behind this tree is matching the natural language words with database elements. The tree hierarchy contains the database tables, attributes, attribute descriptions, and all possible synonyms for each description. The latter phase contains a technique that implements syntax state table to extract the SQL components from the natural language user request. As a result the corresponding SQL statement is generated without interference of human experts.
Software Engineering is one of the recently evolving subjects in research and education. Instructors and books that are talking about this field of study lack a common ground of what subjects should be covered in teaching introductory or advance courses in this area. In this paper, a proposed ontology for software engineering education is formulated. This ontology divides the software engineering projects and study into different perspectives: projects, products, people, process and tools. Further or deeper levels of abstractions of those fields can be described on levels that depend on the type or level of the course to teach.
With a trend toward becoming more and more information based, enterprises constantly attempt to surpass the accomplishments of each other by improving their information activities. In this respect, Enterprise Architecture (EA) has proven to serve as a fundamental concept to accomplish this goal. Enterprise architecture clearly provides a thorough outline of the whole enterprise applications and systems with their relationships to enterprise business goals. To establish such an outline, a logical framework needs to be laid upon the entire information system called Enterprise Architecture Framework (EAF). Among various proposed EAF, Zachman Framework (ZF) has been widely accepted as a standard scheme for identifying and organizing descriptive representations that have critical roles in enterprise management and development. One of the problems faced in using ZF is the lack of formal and verifiable models for its cells. In this paper, we proposed a formal language based on Petri nets in order to obtain verifiable models for all cells in ZF. The presented method helps developers to validate and verify completely integrated business and IT systems which results in improve the effectiveness or efficiency of the enterprise itself.
In this paper, we design algorithms for a system that allows Semantic Web agents to reason within what has come to be known as the Web of Trust. We integrate reasoning about belief and trust, so agents can reason about information from different sources and deal with contradictions. Software agents interact to support users who publish, share and search for documents in a distributed repository. Each agent maintains an individualized topic taxonomy for the user it represents, updating it with information obtained from other agents. Additionally, an agent maintains and updates trust relationships with other agents.
We show that estimating the complexity (mean and distribution) of the instances of a fixed size Constraint Satisfaction Problem (CSP) can be very hard. We deal with the main two aspects of the problem: defining a measure of complexity and generating random unbiased instances. For the first problem, we rely on a general framework and a measure of complexity we presented at CISSE08. For the generation problem, we restrict our analysis to the Sudoku example and we provide a solution that also explains why it is so difficult.
Free and open source software (FOSS) movement essentially arises like answer to the evolution occurred in the market from the software, characterized by the closing of the source code. Furthermore, some FOSS characteristics, such as (1) the advance of this movement and (2) the attractiveness that contributes the voluntary and cooperative work, have increased the interest of the users towards free software. Traditionally, research in FOSS has focused on identifying individual personal motives for participating in the development of a FOSS project, analyzing specific FOSS solutions, or the FOSS movement itself. Nevertheless, the advantages of the FOSS for users and the effect of the demographic dimensions on user acceptance for FOSS have been two research topics with little attention. Specifically, this paper’s aim is to focus on the influence of the users´ age with FOSS the FOSS acceptance. Based on the literature, users´ age is an essential demographic dimension for explaining the Information Systems acceptance. With this purpose, the authors have developed a research model based on the Technological Acceptance Model (TAM).
Controlling Intellectual Property Rights (IPR) in the Digital World is a very hard challenge. The facility to create multiple bit-by-bit identical copies from original IPR works creates the opportunities for digital piracy. One of the most affected industries by this fact is the Music Industry. The Music Industry has supported huge losses during the last few years due to this fact. Moreover, this fact is also affecting the way that music rights collecting and distributing societies are operating to assure a correct music IPR identification, collection and distribution. In this article a system for automating this IPR identification, collection and distribution is presented and described. This system makes usage of advanced automatic audio identification system based on audio fingerprinting technology. This paper will present the details of the system and present a use-case scenario where this system is being used.
Due to different directives, the growing request for citizen-orientation, improved service quality, effectiveness, efficiency, transparency and reduction of costs, as well as administrative burden public administrations apply increasingly management tools and IT for continual service development and sustainable citizens' satisfaction. Therefore public administrations implement always more standard based management systems, such as quality ISO9001, environmental ISO 14001 or others. Due to this situation we used in different case studies as basis for e-government a the administration adapted, holistic administration management model to analyze stakeholder requirements and to integrate, harmonize and optimize services, processes, data, directives, concepts and forms. In these case studies the developed and consequently implemented holistic administration management model promotes constantly over more years service effectiveness, citizen satisfaction, efficiency, cost reduction, shorter initial training periods for new collaborators, employee involvement for sustainable citizen-oriented service improvement and organizational development.
In this article construction and potential of OpenGL multi-user web-based application are presented. The most common technologies like:. NET ASP, Java and Mono were used with specific OpenGL libraries to visualize tree-dimensional medical data. The most important conclusion of this work is that server side applications can easily take advantage of fast GPU and produce efficient results of advanced computation just like the visualization.
In this paper we present a framework for selecting the proper instructional strategy for a given teaching material based on its attributes. The new approach is based on a flexible design by means of generic rules. The framework was adapted in an Intelligent Tutoring System to teach Modern Standard Arabic language to adult English-speaking learners with no pre-knowledge of Arabic language is required.
