The processing of microscopic tissue images and especially the detection of cell nuclei is nowadays done more and more using digital imagery and special immunodiagnostic software products. Since several methods (and a...
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Transmission power control allows a node to dynamically change its power level for energy saving. Many adaptive clustering algorithms propose to use different power levels for clustering. However, the transmission pow...
Transmission power control allows a node to dynamically change its power level for energy saving. Many adaptive clustering algorithms propose to use different power levels for clustering. However, the transmission power control had never been integrated as a step in the algorithms. Analysis of the algorithm is done based on assumption that nodes are capable of switching between different power levels. This paper attempts to highlight the possible overhead incurred due to applying power control algorithm in an adaptive clustering in Wireless Sensor Networks. The side effects of executing power control algorithm every time cluster heads rotate can possibly cancel all performance gained if communication overhead is not taken into account. This paper identifies the energy overhead and delay time as two main factors to consider for integration to be successfully implemented. We perform analysis of these factors on existing clustering algorithms such as EECS and MOECS. The analytical results show that the energy overhead is dependent on network size and the number of cluster head candidates. We also show that the delay time involved in switching power levels has to remain low for effective clustering process.
The paper presents the WiAntHocNet routing algorithm for mobile WiMAX, which combines ideas from Ant Colony Optimization (ACO) routing with techniques taken from more traditional routing algorithms. The algorithm has ...
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The paper presents the WiAntHocNet routing algorithm for mobile WiMAX, which combines ideas from Ant Colony Optimization (ACO) routing with techniques taken from more traditional routing algorithms. The algorithm has hybrid architecture, combining both reactive and proactive mechanisms based on the shortest path ant behavior. Here, we propose to study and compare the performance of the proposed routing protocol with AODV for Mobile WiMAX environment. Overall, the proposed algorithm shows high throughput, reduced end to end delay, and increased packet delivery ratio. Extensive simulations are conducted under OPNET simulator to evaluate the effectiveness of the proposed approach in both dynamic and static environments.
Energy model is an important consideration for designing clustering protocols in Wireless Sensor Networks. By considering both energy consumption of transmitter and receiver, a more accurate energy-efficient protocols...
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Energy model is an important consideration for designing clustering protocols in Wireless Sensor Networks. By considering both energy consumption of transmitter and receiver, a more accurate energy-efficient protocols can be proposed. This paper shows node degree as a criterion to ensure minimum energy dissipation in the network when both components of the energy model are considered. This paper proposes a clustering algorithm that considers node degree to form clusters. The paper provides simulation results to show the energy dissipation corresponding to different node degrees and concludes that node degree has significant impact to the energy consumption in the network.
Having prior road condition knowledge for planned or unplanned journeys will be beneficial in terms of not only time but potentially cost. Being able to obtain real-time information will further enhance these benefits...
Having prior road condition knowledge for planned or unplanned journeys will be beneficial in terms of not only time but potentially cost. Being able to obtain real-time information will further enhance these benefits. Current systems rely on huge infrastructure investments by governments to install cameras, road sensors and billboards to keep motorists informed. These efforts can only be, at best, available at pre-identified hotspots. Radio broadcast is an alternative, where they rely on reports by other motorists. However, such reports are often delayed and not tailored to individual motorist. Seeing the limitations of existing approaches to obtain real-time road conditions, this research work leverages on mobile devices that provide context sensitive information to propose a predictive analytics framework based on a Bayesian Network for road condition prediction. This paper aims to contribute to (i) defining a set of evidences (variables) that could potentially be utilized for road condition prediction and (ii) construction of a Bayesian Network model to predict road conditions. In conclusion, we presented a novel approach to provide potentially unlimited coverage of road traffic conditions with substantially reduced infrastructure investments.
The process of conceptual change in learning, wherein a student's existing knowledge might be changed or fundamentally replaced, is influenced by the affective states of the student's emotion during the learni...
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ISBN:
(纸本)9781467310918
The process of conceptual change in learning, wherein a student's existing knowledge might be changed or fundamentally replaced, is influenced by the affective states of the student's emotion during the learning process. Similarly, in a computer based learning environment, monitoring student's affect is crucial in fostering fruitful conceptual change learning. As such, these studies aimed to propose and compare two conceptual change Bayesian network models; with the first model constructed based on the classical conceptual change theory, while another with the addition of affective factors in the model. Both models were evaluated and the findings suggested that the conceptual change model performed better when affect traits are incorporated into the student model.
With the emergence of online education, there comes a need for a dedicated method to efficiently introduce the available content to learners. Massive Open Online Courses (MOOCs) attempt to achieve this feat by taking ...
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With the emergence of online education, there comes a need for a dedicated method to efficiently introduce the available content to learners. Massive Open Online Courses (MOOCs) attempt to achieve this feat by taking the class experience, as it is, online. These special types of learning courses have boomed vastly in the past year, triggered by an Artificial Intelligence course offering of Stanford fellows Sebastian Thrun and Peter Norvig. MOOC is different in the aspect that they generally have deadlines and provide certificates of accomplishments. Homework assignment deadlines are mostly weekly on the topics taught in a given week. In this paper, the major MOOC organizations are introduced and their track is discussed.
Research on keyword search in XML database is on the increase,owing to its convenient and extensive use in information retrieval (IR) from XML *** et al.11 proposed an IR-style approach utilizing the statistics of und...
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Research on keyword search in XML database is on the increase,owing to its convenient and extensive use in information retrieval (IR) from XML *** et al.11 proposed an IR-style approach utilizing the statistics of underlying XML data,to resolve keyword ambiguity *** find that this approach suffers from the problems of not dealing with tag and data node separately and inefficient utilization of tag and data node frequency *** on our findings,we propose a new approach for keyword search for XML document,based on two-level indexing,to resolve these *** twolevel indexing builds two indices *** information table and data node information table,for structural nodes and data nodes respectively,and deals with each tag and data node separately in XML *** efficiently use the frequency information,we propose a new formula based on mutual information between selected tags with respect to XML query keywords,and thereby reduce the uncertainty in finding an exact Ttyped ***,we propose an entropy formula to find the exact data value through the selected T-typed node.
In distributed computing environment, divisible load technique is used to speedup the completion time of a parallel task by splitting a huge task into a smaller grain size jobs where jobs can be executed remotely by o...
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ISBN:
(纸本)9781467348232
In distributed computing environment, divisible load technique is used to speedup the completion time of a parallel task by splitting a huge task into a smaller grain size jobs where jobs can be executed remotely by other nodes. Due to the heterogeneity of computing nodes, load balancing technique is employed to distribute workload evenly across distributed nodes in order to reduce the overall response time and maximize the resource utilization. Load information plays an important role in heterogeneous computing environment to formulate a job distribution decision. In this paper, we propose a dynamic load balancing algorithm where its information policy for those nodes that have an empty neighbors' list to discover and predict other neighbors' load information. Simulation results from various scenarios show that our approach able to reduce the overall average response time of each job.
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