Intelligent Information Systems

In this paper, several experiments about video categorization using a supervised learning approach are presented. To this end, the VideoCLEF 2008 evaluation forum has been chosen as experimental framework. After an analysis of the VideoCLEF corpus, it was found that video transcriptions are not the best source of information in order to identify the thematic of video streams. Therefore, two

Access to relevant and accurate information is at the heart of tourism, more so in this era of the Internet information overload has become a prevalent phenomenon and as such a serious issue for those seeking for appropriate information. Furthermore, various researches have been carried out on how to make information on tourism website more effective. Intelligent tourism management system tries to bridge the gap by noting what a tourist perceives as relevant, in terms of content pertaining to tourism products in tourism websites. This study focuses mainly on content because it is seen as the key factor associated with an effective website. Hence, the aim of this research entails the design and implementation of an intelligent platform that will assist tourists in gaining access to information on tourist locations in Nigeria. In view of the forgoing, the system was implemented using Rational Unified Process as the adopted software development process, whereas MySQL, HTML and PHP were...

Many scientific applications can benejit from eficient clustering algorithm of massively large high dimensional datasets. However most of the developed ,algorithms are impractical to use when the amount of data is very large. Given N objects each de3ned by an M-dimensional fea- ture vectol; any clustering technique for handling very large datasets in high dimensional space should run in time

A new generation of information systems that integrates knowledge base technology with database systems is presented for providing cooperative (approximate, conceptual, and associative) query answering. Based on the database schema and application characteristics, data are organized into Type Abstraction Hierarchies (TAHs). The higher levels of the hierarchy provide a more abstract data representation than the lower levels. Generalization (moving up in the hierarchy), specialization (moving down the hierarchy), and association (moving between hierarchies) are the three key operations in deriving cooperative query answers for the user. Based on the context, the TAHs can be constructed automatically from databases. An intelligent dictionary/directory in the system lists the location and characteristics (e.g., context and user type) of the TAHs. CoBase also has a relaxation manager to provide control for query relaxations. In addition, an explanation system is included to describe the relaxation and association processes and to provide the quality of the relaxed answers. CoBase uses a mediator architecture to provide scalability and extensibility. Each cooperative module, such as relaxation, association, explanation, and TAH management, is implemented as a mediator. Further, an intelligent directory mediator is provided to direct mediator requests to the appropriate service mediators. Mediators communicate with each other via KQML. The GUI includes a map server which allows users to specify queries graphically and incrementally on the map, greatly improving querying capabilities. CoBase has been demonstrated to answer imprecise queries for transportation and logistic planning applications. Currently, we are applying the CoBase methodology to match medical image (X-ray, MRI) features and approximate matching of emitter signals in electronic warfare applications.

As the Machinery Condition Monitoring and Fault Diagnosis Systems (MCMFDSs) are more and more complex, the design and development of these systems are becoming a challenge. The best way to manage the complexity and risk is to abstract and model them. This paper presents a new method of modeling Web-based Remote Monitoring and Fault Diagnosis Systems (WRMFDSs) with Unified Modeling Language (UML). A component framework model is put forward. A highly maintainable WRMFDS with three reusable component packages was developed using component-based programming. This paper, which studies a reusable WRMFDS model, aims at making such advanced information technologies be used widely in the condition monitoring and fault diagnosis domain, it can give developers a paradigm to accomplish the similar systems.

Security Requirements Engineering is an emerging field which lies at the crossroads of Security and Software Engineering. Much research has focused on this field in recent years, spurred by the realization that security must be dealt with in the earliest phases of the software development process as these phases cover a broader organizational perspective. Agent-oriented methodologies have proved to be especially useful in this setting as they support the modeling of the social context in which the system-to-be will operate. In our ...

The discovery of frequent musical patterns (motifs) is a relevant problem in musicology. This paper introduces an unsupervised algorithm to address this problem in symbolically-represented musical melodies. Our algorithm is able to identify transposed patterns including exact matchings, i.e., null transpositions. We have tested our algorithm on a corpus of songs and the results suggest that our approach is promising, specially when dealing with songs that include non-exact repetitions.

Ekonomi kreatif di era digital saat ini semakin berkembang, selain menawarkan peluang, namun juga memunculkan persaingan, misalnya dalam dunia kuliner yang memberikan tantangan tersendiri bagi Kota Palangka Raya yaitu bagaimana mengangkat dan mengembangkan kuliner khas daerah di tengah maraknya kuliner modern. Tujuan penelitian ini adalah untuk menganalisis dan mengetahui pengembangan ekonomi kreatif di Kota Palangka Raya khususnya pada sektor kuliner oleh-oleh khas Suku Dayak Kalimantan Tengah. Jenis penelitian ini adalah penelitian kualitatif yang dianalisis menggunakan metode deskriptif.  Teknik pengumpulan data yang dilakukan dalam penelitian yaitu dihimpun dari observasi, wawancara mendalam, studi literatur dan dokumentasi, kemudian dilakukan teknik analisis data yang dikembangkan oleh Miles, Huberman dan Saldana menggunakan empat alur kegiatan dalam analisis data yaitu, pengumpulan data, kondensasi data, penyajian data, serta penarikan kesimpulan. Hasil penelitian menemukan ba...

Significant effort is expended in developing a high-level conceptual schema for a relational database. However, criticalknowledge is often discarded when the conceptual schema is mapped to aset of relation schemas. As a result, designers and users must employsparser logical-level knowledge to access data. Unfortunately, naiveusers do not possess the detailed logical-level knowledge required toformulate queries corresponding to ad hoc requests.

— in the wake of this urban innovation wind, the smart city, nicknamed the "Intelligent city," a model promoted since the growth of digital whose dynamics is based on the use of information and communication technologies. It is a concept based on a holistic approach to the integration of different information systems in sectors such as transportation, health, energy, the cleanliness that should translate into a net improvement in the daily life of the inhabitants. These new information and communications technologies (NICT) Such as big data, Internet of Things are the element that inspired the concept of smart city. This article discusses the architectural portion of the intelligent city based on the new technologies as well as a first step for a future study on the mobility and the behavior of citizens in the intelligent citiesby based on the Human predisposition to the game.

The task of disambiguation is to determine which of the senses of an ambiguous word is invoked in a particular use of the word [4]. Starting from the algorithm of Yarowsky [6,5,9,10] and the Naive Bayes Classifier (NBC) algorithm, in this paper we propose an original two-steps algorithm which combines their elements. This algorithm preserves the advantage of principles of Yarowsky (one sense per discourse and one sense per collocation) with the known high performance of NBC algorithms. We design an Intelligent Agent, who learns (based on the algorithm mentioned above) to find the correct sense for an ambiguous word in some given contexts.

Privacy preservation is an important issue in the release of data for mining purposes. The k-anonymity model has been introduced for protecting individual identification. Recent studies show that a more sophisticated model is necessary to protect the association of individuals to sensitive information. In this paper, we propose an (α, k)-anonymity model to protect both identifications and relationships to sensitive information in data. We discuss the properties of (α, k)-anonymity model. We prove that the optimal (α, k)-anonymity problem is NP-hard. We first present an optimal global-recoding method for the (α, k)-anonymity problem. Next we propose two scalable local-recoding algorithms which are both more scalable and result in less data distortion. The effectiveness and efficiency are shown by experiments. We also describe how the model can be extended to more general cases.