Some of the algorithms developed within the artificial neural-networks tradition can be easily adopted to wireless sensor network platforms and will meet the requirements for sensor networks like: simple parallel dist...
详细信息
ISBN:
(纸本)0769523153
Some of the algorithms developed within the artificial neural-networks tradition can be easily adopted to wireless sensor network platforms and will meet the requirements for sensor networks like: simple parallel distributed computation, distributed storage and data robustness. As a result of the dimensionality reduction obtained simply from the outputs of the neural-networks clustering, algorithms, lower communication costs and energy savings can also be obtained In this paper we will present two possible implementations of the ART and FuzzyART neural networks algorithms, which are unsupervised learning methods for categorization of the sensory inputs. They are tested on a data obtained from a set of several motes, equipped with several sensors each. Results from simulations of purposefully faulty sensors show the data robustness of these architectures. The proposed neural-networks classifiers have distributed short and long-term memory of the sensory inputs and can function as security alert when unusual sensor inputs are detected.
We describe our progress extending the undergraduate Computer Science (CS) curriculum to include a deep understanding of techniques for information and knowledge management systems (IKMS). In a novel five-course seque...
详细信息
ISBN:
(纸本)0769523153
We describe our progress extending the undergraduate Computer Science (CS) curriculum to include a deep understanding of techniques for information and knowledge management systems (IKMS). In a novel five-course sequence, students build and work with techniques for data mining, information retrieval, and text analysis, and develop a large-scale IKMS project. We teach in a hands-on lab setting where students use tools they have built, performing experiments that could extend the field Hence undergraduates have firsthand knowledge of performing CS research using scientific methods. Second, we utilize a rigorous set of evaluation criteria developed in our Psychology Institute to evaluate how well students learn using our approaches. Ultimately, we believe that this specialization warrants inclusion as an option in the standard undergraduate CS curriculum.
Nowadays many data grid applications need to manage and process a huge amount of data distributed across multiple grid nodes and stored into heterogeneous databases. Grids encourage the publication of scientific data ...
详细信息
ISBN:
(纸本)0769523153
Nowadays many data grid applications need to manage and process a huge amount of data distributed across multiple grid nodes and stored into heterogeneous databases. Grids encourage the publication of scientific data in a more open manner than is currently the case, and many e-Science projects have an urgent need to interconnect legacy and independently operated databases through a set of data access and integration services. In the data grid area a set of dynamic and adaptive services could address specific issues related to automatic data management aiming at both providing high performance, and fully exploiting a grid infrastructure. In this paper we introduce the Grid-DBMS concept, a framework for dynamic data management in grid environments, highlighting its requirements, architecture, components and services.
This paper reports on an overall methodology to develop a strategic architecture plan which can be applied to organizations. The deployment of the plan would allow for advanced implementation of technologies such as m...
详细信息
ISBN:
(纸本)0769523153
This paper reports on an overall methodology to develop a strategic architecture plan which can be applied to organizations. The deployment of the plan would allow for advanced implementation of technologies such as mass customization, customer relationship management systems, decision support systems and knowledge management systems. Despite advances in the development of new applications, many organizations are not able to embrace these new technologies mainly due to not having devised an appropriate plan to position themselves technologically and organizationally to incorporate these technologies. In many instances, organizations are even crippled to take advantage of the new competitive systems, because they lack the right standards and or suffering from old, mismatched and antiquated systems that they can not get rid of easily. The road map will provide organizations with specific technical requirements for the immediate needs as well as a migration path to "plug in" the component and the products the business is moving towards.
This paper presents an Automatic Vehicle Classification System based upon Laser Intensity Images obtained from range sensors (called AVCSLII). Current systems that utilize loop detectors, video cameras, and range sens...
详细信息
ISBN:
(纸本)0769523153
This paper presents an Automatic Vehicle Classification System based upon Laser Intensity Images obtained from range sensors (called AVCSLII). Current systems that utilize loop detectors, video cameras, and range sensors have deficiencies. The loop detectors have high failure rates due to pavement failures and poor maintenance. Video based systems and range sensors do not perform well in deteriorated atmospheric conditions (such as rain and,fog). The developed generations of image based range, sensors offer the promise of sensors that are less sensitive to deteriorated environmental conditions. AVCSLII system extracts features of laser intensity images, produced by laser sensory units. These features are used to train a Neural Network (NN). The AVCSLII system recalls its trained NN for classification of vehicles. This technique outperforms loop detectors, video cameras, and range data techniques in deteriorated environmental conditions.
The principal goal of near video-on-demand system is to minimize the average user waiting time. The user waiting time of popular videos can be reduced significantly by using broadcasting schemes such as fast broadcast...
详细信息
ISBN:
(纸本)0769523153
The principal goal of near video-on-demand system is to minimize the average user waiting time. The user waiting time of popular videos can be reduced significantly by using broadcasting schemes such as fast broadcasting. Instead of allocating channels uniformly to all the videos, channels are nonuniformly distributed according to the relative popularity of the videos to minimize the average user waiting time. Since the demand for videos changes from time to time, the number of channels allocated to a video needs to be changed dynamically. The channel transition should be seamless so that the users currently watching the video do not experience any disruption due to this transition. Existing seamless channel transition scheme pads a dummy video stream at the end of the original video stream to produce exact correspondence between segments, but this approach causes some wastage of bandwidth. This paper proposes an improved seamless channel transition scheme which minimizes the wastage of bandwidth by preloading a postfix of the original video stream in the client buffer.
This paper presents a new generalized particle approach (GPA) to optimally allot the resources and jobs for grid computing(1). The proposed GPA transforms the allocation problem of grid resources and grid jobs into th...
详细信息
ISBN:
(纸本)0769523153
This paper presents a new generalized particle approach (GPA) to optimally allot the resources and jobs for grid computing(1). The proposed GPA transforms the allocation problem of grid resources and grid jobs into the kinematics and dynamics of massive particles in a force-field. This paper discusses the construction, dynamics and properties of the GPA and corresponding algorithm. The GPA has many advantages in terms of the parallelism, multi-objective optimization, multi-type coordination, and the ability to deal with a variety of complex issues, such as the autonomy, personality, congestion, failure of distinct grid facilities. The simulations have shown the effectiveness and suitability of the proposed approach for grid computing.
Software Architecture (SA) provides a formal basis to describe and analyze a software system as a collection of components and their interactions (connectors). However, the current understanding and specification for ...
详细信息
ISBN:
(纸本)0769523153
Software Architecture (SA) provides a formal basis to describe and analyze a software system as a collection of components and their interactions (connectors). However, the current understanding and specification for a connector are still insufficient. Furthermore, there still exists a gap between architecture design and component-based implementation. This paper attempts to tackle these problems by providing an Architecture Description Language (ADL), xSADL. In the specification of a connector xSADL can help designers to deal with two kinds of architectural mismatches: behavior mismatch and message mismatch. xSADL is also supported by a GUI-based CASE tool. To help transform the architecture design by xSADL to a component-based software implementation, a component framework, 3CoFramework, is also introduced. xSADL and 3CoFramework complement each other and construct an architecture-based component development environment.
作者:
Han, TDUniv Nevada
Dept Management Informat Syst Las Vegas NV 89154 USA
Many have expected that the increased availability of price and product information over a wide range of vendors and low search costs on the Web would increase price competition, reduce price dispersion, and eventuall...
详细信息
ISBN:
(纸本)0769523153
Many have expected that the increased availability of price and product information over a wide range of vendors and low search costs on the Web would increase price competition, reduce price dispersion, and eventually lower the level of product price. However, recent empirical studies have shown somewhat conflicting results. Price dispersion still exists in many online industries even for commodities like books and CDs. This research explores the reason behind consumer search behavior on the Web. The results of this study show that consumers in e-market do not search for either price or product information, even with low search costs, as much as we have anticipated. The results also indicate that the traditional consumer segmentation in the physical market may not always apply in the e-market. In terms of price and product information searches, brand loyalists showed higher search activity than other e-consumer groups unlike in physical market.
This paper proposes an efficient method to extract the most important and non-redundant sentence segments based on sum of similarity. The new characteristics of our method are listed as follows: 1) we use preprocessin...
详细信息
暂无评论