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We present in this paper, a context-driven search engine called XCDSearch for answering XML Keyword-based queries as well as Loosely Structured queries, using a stack-based sort-merge algorithm. Most current research is focused on building relationships between data elements based solely on their labels and proximity to one another, while overlooking the contexts of the elements, which may lead to...
In home-based care, reliable contextual information of remotely monitored patients should be generated to recognize activities and to identify hazardous situations of the patient. This is difficult for several reasons. First, low level data obtained from multisensor have different degrees of uncertainty. Second, generated contexts can be conflicting even if they are acquired by simultaneous operations...
Reliable RFID identification is one of issues in RFID applications in recent. However, the RFID reader has difficulty to obtain reliable data in data capture layer. The reason is that unreliable readings such as a false positive reading and a false negative reading and missed readings can happen by reader collision problems, noise, or the mobility of tagged objects. We introduce performance metrics...
Since gathering spatial information of objects often provides a large number of extended functions in RFID based applications, many different localization systems have been developed in recent years. Determining and estimating the physical location of tagged objects in an interrogating area is known as localization. In this paper, we study properties of passive UHF RFID systems such as the relationship...
We introduce an XML search engine called XRQ. The search engine employs recursive querying techniques for answering XML loosely structured queries. Recursive querying allows a query to query the results of a previous application of itself or of another query. We experimentally evaluated the search quality and efficiency of XRQ and compared it with two search engines, XSeek and XKSearch.
A data element specifies one of the characteristics of its parent element. Therefore, the context of a data element is determined by its parent. Non context driven search engines build relationships between data nodes based solely on their labels and proximity to one another while overlooking their contexts. Therefore, they may return faulty answers. This paper investigates the pitfalls and limitations...
Reliable contextual information of remotely monitored patients should be generated to prevent hazardous situations and to provide pervasive services in home-based care. This is difficult for several reasons. First, low level data obtained from heterogeneous sensors have different degrees of uncertainty. Second, generated contexts can be corrupted or conflicted even if they are acquired by simultaneous...
Reliable contextual information should be generated to provide pervasive services to the occupant in smart spaces. This is difficult for several reasons. First, the number of ways to describe an event or an object is unlimited and there is no standard regarding granularity of context information in context classification schemes. Second, the quality of a given piece of contextual information is not...
In this paper, we present the Dynamic Bin Slotted memoryless anti-collision algorithm (DBS) and the Robust Dynamic Bin Slotted memoryless anti-collision algorithm (RDBS) (which is a countermeasure to the strong and weak tag problems). They are based upon a bin slot tree algorithm. Both algorithms combine deterministic and probabilistic approaches to improve performance. We suggest a simple estimator...
Improving energy efficiency in intelligent buildings is an important issue in reducing global warming. Real smart energy efficiency is a combination of energy saving and providing for the satisfaction of occupants. However, the comfort of occupants has an uncertainty in prediction and can conflict with preferences of other occupants. So the "Conflict Resolution Architecture" (CRA) is introduced...
In biomedical/biological research fields, some semantic data (experiments, evidence, annotation, etc.) can be classified into different levels (from the DNA/RNA level to higher levels such as cells, tissues, organs, and biological systems) based on different degrees of abstraction. Hence, it is important to represent and integrate them across different levels. The purpose of this paper is to address...
Because a sensor network depends on limited battery power, energy saving is important to increase the sensor network lifespan. We propose semi-distributed spatial query indexing structure that disseminates a query into the network and retrieves data energy efficiently using a localized tree building algorithm. We also propose a sectioned tree index, which divides the network area into several squares...
Biological data such as protein structure and function, DNA sequences, and metabolic pathways require conceptual modeling characteristics that are not available in the widely used ER (entity-relationship) model and its variant the EER (enhanced-ER) model. In this paper, we suggest a solution to this problem, requiring only minimal changes to the EER model by introducing specialized formal relationships...
Recently, storage management has been a new focus of study in addition to traditional characteristics of wireless sensor networks. In this paper, five storage schemes that we categorize are evaluated in terms of query types that have different characteristics from one another. First, sensor network queries are classified by four criteria, and they are divided in more detail by the combination of elements...
Summary form only given. Biological data such as nucleic acids (DNA or RNA), proteins, and pathways require certain conceptual modeling characteristics that are not available in the popular ER (entity-relationship) model and its variations, such as the EER (extended-ER) models. In this paper, we try to make minimal changes to the EER model by introducing special relationships for ordering and process...
A methodology for detecting failures that occur in distributed computer systems connected by a communications network is described. The methodology utilizes active polling of monitored systems. The entities polled must be service entities that function at the application layers of service providing machines. A prototype system has been implemented to test this methodology.
Fragmentation and query decomposition are considered important issues in a distributed database environment. For a semantic data model (ECR data model), the types of fragmentation and the criteria they should follow is provided along with how global queries in a high-level language, GORDAS, are decomposed into local queries on the fragments. This technique may be used in a heterogeneous distributed...
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