CSS-Tutor: An Intelligent Tutoring System for CSS and HTML

In this paper we show how a student can learn the basics of the system databases using (W3school CSS) which was built as intelligent tutoring educational system by using the authoring tool called (ITSB). The learning material contains CSS and HTML. We divided the material in a group of lessons for novice learner which combines relational system and lessons in the process of learning. The student can learn using example of CSS, and types of CSS color. Furthermore, the intelligent tutoring system supports not only lessons; but exercises of different difficult levels for each lesson. When a student finish successfully the first difficulty level in a lesson, the student is allowed to move to the next difficulty level of the exercises of the lesson

The Role of Knowledge in Constructing the Quality of Olive Oil in Spain

The sustainability of a large proportion of Spanish olive oil-producing territories depends to a great extent on their capacity to fit into a specific model of food quality. The strategies used in the di erent territories di er with respect to their adherence to the objectifiable conception of quality, based on scientific-technical knowledge, or subjectivating conception of quality, based on tacit and practical knowledge. In this paper, we analyse the route taken by two territories with olive oil protected designation of origin (PDO) status in Spain to construct their quality model, the type of knowledge that has been applied and how knowledge processes a ect the construction of sustainable quality models. This study applies a qualitative methodology based on participative observation and semi-structured interviews with key actors of the territories. The results indicate that processes of production, reproduction and dissemination of knowledge are basic pillars for the construction of sustainable quality projects. The degree of understanding of the objectifiable and subjectivating conception of quality in olive-producing territories and the interaction between them depend on the specific characteristics of the territory, the objectives set in connection to the olive oil quality method, the importance given to the di erent types of knowledge, and its standing on the issue of territorial sustainabilit

Pixel classification for automated diabetic foot diagnosis

Worldwide, more than 180 million people suffer from diabetes mellitus. Approximately 50% of these patients will develop complications to their feet. Neuropathy, combined with poor blood supply and biomechanical changes results in a high risk for foot ulcers, which is a key problem in the diabetic foot; when these wounds become infected, this can ultimately result in lower extremity amputation, which has a serious effect on the quality of life of the patient, and causes a large economic burden on society.\ud \ud This was the motivation for a collaborate project (Vincent50) in which a photographic foot imaging device was developed. The system allows scanning of the foot soles on a daily basis which may lead to early recognition of foot problems. The goal of the present study is to determine whether pixel classification is a useful intermediate step towards automatically assessing the images of the foot soles for signs of diabetic foot disease. If successful, this approach will further relief health care professionals in assessing the foot and enable the placement of more devices in the future. \ud \ud The best agreement between automated recognition and expert diagnosis was achieved with a combination of RGB and derived features, proves that the RGB data is informative with respect to detection of ulcers. However, the automatic detection of pre-signs of ulcers and other anomalies needs more sophistication than pixel classification alone. Firstly, other physical features, such as hyperspectral data, infrared and/or textural features are expected to be more informative. Secondly, we expect to be able to boost the performance by using the context between neighboring pixels. Thirdly, an individualized and normalized classification process might help with the large variability in foot soles between individuals. \u

Virtual public administration: improving public administration procedures through project management

The best way to contribute electronic and mobile Government is by creating a public administration network in virtual communities. This is essentially the definition of Virtual Public Administration (VPA). A virtual community (a good example of which would be the well acclaimed virtual reality world Second Life), could potentially provide the platform to offer improved public administration services. Arguably, the quality of these services to citizens and businesses in virtual communities are more competitive than in reality. Therefore, the social, economic and technological impact is more inquiring because we could potentially offer to the end users more motivation to join these communities. Furthermore the success of the VPA is based on the virtual project management application. Our paper examines, theoretically and empirically, how VPA could potentially contribute to better public administration services and how effective project management application could facilitate the proposed transition. The research strategy is based on a combination of qualitative and quantitative methodological approaches. In that respect pertinent data is been collected through both semi structured interviews and questionnaires, with executives and others, in the Greek and UK public administration sector. Preliminary theoretical results demonstrate the improvement achieved by integrating time in virtual and real worlds and by testing impact to the quality of service provided by public sector to citizens/businesses. To that end, our study provides both qualitative (statements of directors, observations) and quantitative (metrics) examples related to these improvements. Three UK based councils have agreed in principle to participate to the study. Furthermore, in Greece the General Inspector of Public Administration, the National University of Athens and others has also agreed to participate. Our paper concludes with the contribution of our work along with some interesting avenues for further research

Soil Governance: Accessing Cross-Disciplinary Perspectives

Soil provides the foundation for agricultural and environmental systems, and are subject to a complex governance regime of property rights and secondary impacts from industry and domestic land use. Complex natural resource management issues require approaches to governance that acknowledge uncertainty and complexity. Theories of next generation environmental governance assume that inclusion of diverse perspectives will improve reform directions and encourage behaviour change. This paper reports on a qualitative survey of an international workshop that brought together cross-disciplinary perspectives to address the challenges of soil governance. Results reveal the challenges of communicating effectively across disciplines. The findings suggest that strategies for improved soils governance must focus on increasing communications with community stakeholders and engaging land managers in designing shared governance regimes. The need for more conscious articulation of the challenges of cross-disciplinary environments is discussed and strategies for increasing research collaboration in soils governance are suggested. The identified need for more systematic approaches to cross-disciplinary learning, including reporting back of cross-disciplinary initiatives to help practitioners learn from past experience, forms part of the rationale for this paper

CoFeD: A visualisation framework for comparative quality evaluation

Evaluation for the purpose of selection can be a challenging task particularly when there is a plethora of choices available. Short-listing, comparisons and eventual choice(s) can be aided by visualisation techniques. In this paper we use Feature Analysis, Tabular and Tree Representations and Composite Features Diagrams (CFDs) for profiling user requirements and for top-down profiling and evaluation of items (methods, tools, techniques, processes and so on) under evaluation. The resulting framework CoFeD enables efficient visual comparison and initial short-listing. The second phase uses bottom-up quantitative evaluation which aids the elimination of the weakest items and hence the effective selection of the most appropriate item. The versatility of the framework is illustrated by a case study comparison and evaluation of two agile methodologies. The paper concludes with limitations and indications of further work

Multi User Decision Support System For Teachers Sertification With HTTPS

Education quality is a key condition to realize the life of a developed nation, modern dan Prosperous. (Fasli Jalal 2008) Teacher quality greatly affect the effectiveness of learning (Suherman, 2007, Rink, 2002). Teacher certification program is a way to improve the quality of teachers so that the quality of education will be increased dan in turn affect students' achievement (Siedentop & Tannehill, 2000). The purpose of this paper is to discuss the design of decision support systems passing teacher certification so as to facilitate the certification team dan assessors in the decision making sertikasi teacher graduation. In this paper we use a qualitative method based on system development life cycle (SDLC), including planning, analysis, design, dan implementation. Design of decision support systems passing teacher certification can provide information about passing the certification of teachers, as information analysis dan control in teacher certification assessment conducted by the assessor dan teacher certification of graduation information. Keywords : Teachers Certification, System Development Life Cycle (SDLC), Qualitative Methods, Method of Black Box

K-Space at TRECVid 2007

In this paper we describe K-Space participation in TRECVid 2007. K-Space participated in two tasks, high-level feature extraction and interactive search. We present our approaches for each of these activities and provide a brief analysis of our results. Our high-level feature submission utilized multi-modal low-level features which included visual, audio and temporal elements. Specific concept detectors (such as Face detectors) developed by K-Space partners were also used. We experimented with different machine learning approaches including logistic regression and support vector machines (SVM). Finally we also experimented with both early and late fusion for feature combination. This year we also participated in interactive search, submitting 6 runs. We developed two interfaces which both utilized the same retrieval functionality. Our objective was to measure the effect of context, which was supported to different degrees in each interface, on user performance. The first of the two systems was a ‘shot’ based interface, where the results from a query were presented as a ranked list of shots. The second interface was ‘broadcast’ based, where results were presented as a ranked list of broadcasts. Both systems made use of the outputs of our high-level feature submission as well as low-level visual features