Search engines on the Web have popularized the keyword-based search paradigm, while searching in databases users need to know a database schema and a query language. Keyword search techniques on the Web cannot directl...
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Search engines on the Web have popularized the keyword-based search paradigm, while searching in databases users need to know a database schema and a query language. Keyword search techniques on the Web cannot directly be applied to databases because the data on the Internet and database are in different forms. So keyword search systems in relational databases have recently proposed. However existing systems limit type of keywords to database value terms, and generally assumed that answers are in instance level. Thus, this research aims to propose an effective approach for free-form keyword searching in databases which allows users to search either with database value terms, metadata terms or user terms. The metadata model accommodates these terms as well as underlying database semantics. Moreover, we present a branch and bound algorithm used for finding the optimal answer graphs. Our preliminary experiment results confirm precision of our approach.
Passive wireless sensors have emerged as a new technology to measure a vast majority of phenomena in our daily life. Passive sensors require no power source, and therefore their application domains are numerous, inclu...
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Passive wireless sensors have emerged as a new technology to measure a vast majority of phenomena in our daily life. Passive sensors require no power source, and therefore their application domains are numerous, including health care, infrastructure protection, and national security, among many others. The deployment of wireless passive sensors and their readers has changed how detection needs to be performed. Passive sensors cannot pre-process the measurements as they have limited computational power. Therefore, no local decision is taken. Also, the reader polls the information from multiple sensors at the same time, and this causes collisions and hence packet drops and delays. In this paper, we formulate the detection performance, with non-ideal channels, in a probabilistic way, and compare with classical detection performance. We design an optimal adaptive Neyman-Pearson detector, given the channel probabilistic model, by formulating and solving a constrained optimization problem.
An essential element in the engineering of computersystems are design patterns that capture current best practice and knowledge about recurring solutions for standard problems. In case of decentralized autonomic comp...
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An essential element in the engineering of computersystems are design patterns that capture current best practice and knowledge about recurring solutions for standard problems. In case of decentralized autonomic computing systems, also known as self-organizing emergent systems, appropriate design patterns have to structurally describe decentralized coordination mechanisms along with information on which kind of macroscopic effects, the self-* properties, can be achieved in which situations. In this paper we present a design pattern for self-organizing emergent systems coordinating by means of digital infochemicals. Infochemicals, in the natural context, are chemical substances that convey information in the interaction between two individuals. Because infochemical coordination is the most universally employed mechanism of communication in nature, there exists plenty of inspiring examples of decentralized coordination usable for the solution of complex problems in need of certain self-properties. The presented design pattern captures the general biological principles behind infochemical coordination, which simplifies a systematical systemsengineering. It extends existing coordination models, in particular pheromone-based coordination and digital semiochemical coordination, in terms of terminology, functionality, as well as generality, and thus becomes applicable to a much wider set of problem domains.
The current researches and industries are looking forward to integrate different technologies to get a global technology that offers all of the intended services in a simple way. In this paper, a new communications sy...
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The current researches and industries are looking forward to integrate different technologies to get a global technology that offers all of the intended services in a simple way. In this paper, a new communications system is proposed to integrate the use of GSM over the available satellites infrastructures. The proposed communications system could be used to facilitates and get benefits of both systems (the GSM and Satellites) to achieve competitive services over the world. The proposed system is concentrated on a global communications system that served all over the world and gives some specialization and privacy for each country. Furthermore, this paper shows an algorithm on how to implement the GSM over satellite systems in an efficient, flexible, and cost-effective manner.
Passive wireless sensors have emerged as a new technology to measure multiple phenomena in our daily life. Passive sensors require no power source, and therefore their application domains are numerous, including healt...
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ISBN:
(纸本)9781424445233
Passive wireless sensors have emerged as a new technology to measure multiple phenomena in our daily life. Passive sensors require no power source, and therefore their application domains are numerous, including health care, infrastructure protection, and national security. The deployment of passive wireless sensors and their readers has changed how detection needs to be performed. Passive sensors cannot preprocess the measurements as they have limited computational power. Therefore, no local decision is taken. Also, the reader polls the information from multiple sensors at the same time, and this causes collisions and hence packet drops and delays. Detectors designed without considering the properties of the communication channel have degraded performance. Therefore, analysis is required to quantify the degradation and take the necessary remedy action. In this paper, we study the effect of sensor-reader channel imperfection on the local detection performance of the reader, assuming no data pre-processing at the passive sensor. We consider the case of a single sensor-reader communication over a Bernoulli communication channel. We formulate the detector performance and compare with the ideal case. We present the problem of DC level detection in White Gaussian Noise, as a case study. Finally, we propose a heuristic approach to restore the original detector performance working with non-ideal channel, with the cost of increasing the delay for detection.
We illustrate the effective use of ATIM (ad hoc traffic indication message) window in static sensors to obtain potential energy savings for sensors during data dissemination in wireless sensor networks. The network co...
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We illustrate the effective use of ATIM (ad hoc traffic indication message) window in static sensors to obtain potential energy savings for sensors during data dissemination in wireless sensor networks. The network consists of resource-rich mobile sink node and resource-constrained sensor nodes forming a square grid. Sink may be multihop away from the sensor nodes and in order to collect the data, it moves to the vicinity of the sensor nodes in the grid. Each sensor node in the grid uses an ATIM window and sleeps during that time to conserve energy. The sleeping sensor node wakes up at regular interval of time to read the beacon messages. If the message comes from sink, sensor node immediately reads the header part of query packet to check whether it is the targeted sensor. The targeted sensor further reads the remaining part of query packet and responds back to the sink with requested data. The rest of the sensor nodes just ignore the remaining part of the query packet and go to sleep mode. If the message comes from the peer sensor node, the neighbor nodes just ignore it. We consider an affordable wireless network system with four sensor nodes and one mobile sink. Mobile sink transfers the collected data directly to the control station.
The massive, simultaneous redesign of all degrees in European Higher Education Area presents daunting chalLênges but also offers unprecedented opportunities. All degrees must be simultaneously redesigned;synergie...
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ISBN:
(纸本)9789898111821
The massive, simultaneous redesign of all degrees in European Higher Education Area presents daunting chalLênges but also offers unprecedented opportunities. All degrees must be simultaneously redesigned;synergies among them can be effectively exploited, thus encouraging the re-utilization oriented approaches discussed in this paper (LCMS, standards like LOM, Dublin Corem QTI, IMS, SCORM, etc.). On the other hand, shifting the unit of academic measurement to student hours (through the ECTS) facilitates the seamLêss combination of face-to-face, distance and bLênded Lêarning in academic degrees.
In this paper, the problem of path planning for a ground search unit looking for an object of unknown location is considered. As in the classical optimal searcher path problem, the probability of finding the search ob...
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ISBN:
(纸本)9780982443804
In this paper, the problem of path planning for a ground search unit looking for an object of unknown location is considered. As in the classical optimal searcher path problem, the probability of finding the search object is the main criterion of optimality and the search unit is constrained by the environment topology that influences its choices for a navigable path as well as its detection capabilities. This paper proposes an extension to the classical optimal searcher path problem in discrete time and space by integrating inter-region visibility as an additional criterion. This new formulation allows a refinement in the discretization of the space in which a ground search unit evolves. A general mixed-integer programming model is proposed, and experimental results with a moving object in grid environments are discussed.
This paper proposes a mobile-agent-based data gathering system (called TinyBee) in wireless sensor networks. Most existing mobile-agent-based systems consider only static sinks/servers. In this paper, we consider both...
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This paper proposes a mobile-agent-based data gathering system (called TinyBee) in wireless sensor networks. Most existing mobile-agent-based systems consider only static sinks/servers. In this paper, we consider both mobile servers and lightweight mobile agents. We aim to design a data gathering system using a special kind of mobile agent called TinyBee to collect data all over a network. TinyBee migrates from node to node after being dispatched from a mobile server in order to collect data so that physical movement of mobile servers is greatly reduced. Mobile-agent-based approaches outperform traditional client/server paradigms in terms of execution time and power consumption. Extensive simulation results demonstrate that our proposed schemes achieve significant performance gains.
The purpose of this paper is to present a new size metric for business process *** metric aims to measure size of process from use case *** metric consists of four series to support four perspectives of business proce...
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The purpose of this paper is to present a new size metric for business process *** metric aims to measure size of process from use case *** metric consists of four series to support four perspectives of business process:functional,behavioral,informational and *** addition,the guidance for pointing to related use case elements is included in each *** this paper,each size of perspective which measured from the new metric can use for indicating the number of business process elements are represented by UML-activity *** the example of the metric is only one,it is possible to apply for another modeling method such as BPMN,Petri Net and EPC.
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