With the increase in the number of sensors and actuators available to ubiquitous computing systems comes the need for architectures that can support the development of intelligent applications and expose the rich cont...
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ISBN:
(纸本)9781595937353
With the increase in the number of sensors and actuators available to ubiquitous computing systems comes the need for architectures that can support the development of intelligent applications and expose the rich control and monitoring capabilities provided by these devices to users. In this work, we present a description of the parameters used to define services provided by sensors and actuators. Using this understanding of the devices that provide sensing and control throughout the environment, we present thedesign of Meditrina, a ubiquitous computing architecture. Meditrina provides clean interfaces for application designers to leverage devices in the environment to support the activities of users in a large variety of scenarios. To demonstrate the power and feasibility of Meditrina, we implemented a prototype, including a room lighting control application. Through the use of the prototype, we show how the architecture facilitates the quick implementation of applications that can react to and affect the environment, even in the face of device failure.
Today's technology offers easy access to multimedia services through high-speed communication networks. A Video-on-Demand (VoD) service allows customers to connect to an on-line video server and asynchronously wat...
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ISBN:
(纸本)1860948278
Today's technology offers easy access to multimedia services through high-speed communication networks. A Video-on-Demand (VoD) service allows customers to connect to an on-line video server and asynchronously watch videos. A Video-on-Demand system is typically implemented by Client-Server architecture. This paper presents a scheme of channel allocation based on priority of the requested video, to increase efficient channel utilization and lower the download time. This allocation scheme shows better performance when compared to conventional way of allocating channels.
In last decade, object-oriented concept is not so much powerful and adequate to cop up the requirements of rapid changes in ongoing applications. Component-Based Development (CBD) has emerged in a very fast way to add...
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In last decade, object-oriented concept is not so much powerful and adequate to cop up the requirements of rapid changes in ongoing applications. Component-Based Development (CBD) has emerged in a very fast way to address these changes, In CBD, software systems are built as an assembly of components already developed and prepared for integration. However, the quality aspects of software products are not adequately addressed by CBD. Complexity of components is a very essential attribute to be measured for components. The paper discusses various existing complexity metrics for traditional systems including object-oriented systems. It explores the possibilities whether some of these metrics can be applied for software components also or not. The paper proposes a new metric for measuring the complexity of software components. It also conducts an empirical study on a number of JavaBean components to evaluate the proposed metric. The correlation analysis of the proposed metric with Customizability metric, defined in the literature shows that highly complex components have a low value of customizability, thus very difficult to maintain.
In the field of mobile robotics, data is transmitted from the robot over low bandwidth channels or incrementally in short bursts to a host, where it can be further processed for visualization. JPEG-LS is the one of th...
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Predictive soil modelling using geostatistical methods is a research concept in modern soil science and soil geography for the last two decades. One of the reasons for this lack of soil spatial data is that convention...
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ISBN:
(纸本)9780863419379
Predictive soil modelling using geostatistical methods is a research concept in modern soil science and soil geography for the last two decades. One of the reasons for this lack of soil spatial data is that conventional soil survey methods are relatively slow, qualitative and expensive. Spatial data sets covering large areas like digital geomorphographical maps, geological, land use, and climate data are available and these geo-datasets contain information about soil formation and resulting hydrologic variables etc which are needed to extract relevant soil information. In this paper we present an efficient hybrid model that was achieved by first clustering the data and then classifying it, and using the spatial conceptual information extracted from the environmental variables. This paper assists in assessment of the status of food production associated with land degradation and estimate indicators of soil nutrient mining by a country and region. The findings and conclusions of this paper result from the monitoring of the nutrient mining of agricultural lands in a country which have a direct implication on policy development. We propose a framework where soil is classified into different types, then a future work could be to predict soil fertility, based on which you can decide upon the fertilisers and suitable crops that could be cultivated with expertise.
Wireless mobile ad hoc stations have limited battery capacity, hence, ad hoc routing protocols ought to be energy conservative. Route discovery is a common operation in routing to resolve many issues. In a Mobile Ad H...
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Wireless mobile ad hoc stations have limited battery capacity, hence, ad hoc routing protocols ought to be energy conservative. Route discovery is a common operation in routing to resolve many issues. In a Mobile Ad Hoc Network (MANET) in particular, due to host mobility, such operations are expected to be executed more frequently. A straightforward broadcasting by flooding is usually very costly and will result in serious redundancy, contention, and collision, resulting in broadcast storm problem. In this paper, an algorithm is proposed to improve flooding performance of Ad Hoc On-Demand Distance Vector (AODV) routing protocol called, Probabilistic-Average-Energy-flooding (PAEF) which periodically performs an averaging algorithm Calculate-Average-Energy (CAE) to estimate the average energy Eavg. This algorithm is used in route discovery process to make a rebroadcast decision by the node. Our simulation results show an improvement in the network lifetime and the throughput compared to traditional AODV.
Steganography plays an important role in the field of information hiding for secret communication. The proposed algorithm Robust and high capacity image steganography using SVD (RHISSVD) is based on singular value dec...
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ISBN:
(纸本)9780863419379
Steganography plays an important role in the field of information hiding for secret communication. The proposed algorithm Robust and high capacity image steganography using SVD (RHISSVD) is based on singular value decomposition (SVD) transform of digital images. In this technique two important properties of SVD are utilized, namely (i) The singular values (SV) represents luminance or energy of the digital image layer. (ii) The respective pair of singular vectors represents the image geometry. Slight variation of the SV cannot affect the visual perception of the image. The cover image is transformed in to SVDs and the secret message to be transmitted is embedded in to singular values of cover image. It is observed that RHISSVD has an improvement in PSNR and capacity compared to existing algorithms.
A Wireless Sensor Network (WSN) consists of a large number of randomly deployed sensor nodes. These sensor nodes organize themseleves into a cooperative network and perform the three basic functions of sensing, comput...
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ISBN:
(纸本)9780863419379
A Wireless Sensor Network (WSN) consists of a large number of randomly deployed sensor nodes. These sensor nodes organize themseleves into a cooperative network and perform the three basic functions of sensing, computations and *** paper proposes a at-routing technique for such a network consisting of homogenous nodes. It is an energy-effiient data gathering protocol where sensor nodes in the network form an Antchain. The role of Antchain head and Antchain tail for each data gathering process is scheduled by means of a Time Division Multiple Access technique which ensures uniform depletion of energy among sensor nodes. The real advantage comes to light in the event of the death of a node. The proposed algorithm heals the network in such a way that only one node communicates with the base station at the end of the data gathering process. Simulation results indicate that Self-Healing AntChain performs better than other AntChain systems in terms of network lifetime, average energy consumed and aggregated data delivery ratio, in addition to being a highly fault-tolerant, exible and adaptive system.
There has been a growing interest among the researchers in the area of soft computing assisted material modeling in general and modeling of concrete in particular. Their results look very promising. Concrete is a hete...
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Parallel loop scheduling on grid environments is a challenging problem, especially for loops with irregular workload distribution. In the past, this problem of load imbalance resulting from irregular workload was not ...
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