The metallic waveguide is one of many effective media for millimeter- and submillimeter-waves because of the advantage of its lowloss nature. This paper describes the fabrication method of PTFE-filled waveguide compon...
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The aim of navigation aid in general is to provide an optimal route from the current position to the destination. Unfortunately, there are lot of drawbacks from many navigation aids such as giving wrong directions to ...
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In sensor network applications, data gathering mechanisms, which are based on multi-hop forwarding can be expensive in terms of energy. This limitation reduces the lifetime of the network and challenges the use of sen...
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In sensor network applications, data gathering mechanisms, which are based on multi-hop forwarding can be expensive in terms of energy. This limitation reduces the lifetime of the network and challenges the use of sensor networks for applications that demand a predefined operational lifetime. To avoid this problem, the benefits of using mobile gateway to prolong sensor life-time have been explored in the literature. However, practical considerations such as the gateway speed and route planning, sensor buffer size and data frequency generation constraints impose limits on the mobile elements. In this work, we consider the natural hybrid solution that combines the two approaches of mobile gateways and multi-hop forwarding to address more constraints for sensor applications. We provide algorithmic solutions that attempt to balance the benefits of both approaches. Based on a given predetermined time deadline, a gateway tour will be established to involve a subset of the sensors. These selected sensors will work as gathering points and will aggregate the other sensors' data. The gathering points/nodes are selected with the aim of reducing the energy expenditures due to multi-hop forwarding. We also present a heuristic-based solution and validate its performance through an extensive set of experiments.
This paper presents a common interface for Prolog to three different types of discrete solvers including Constraint Programming (CP), Integer Programming (IP), and SAT solvers. The interface comprises primitives for c...
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This paper presents a common interface for Prolog to three different types of discrete solvers including Constraint Programming (CP), Integer Programming (IP), and SAT solvers. The interface comprises primitives for creating decision variables, specifying constraints, and invoking a solver, possibly with an objective function to be optimized. Before a solver is actually called, the accumulated variables and constraints are transformed into a form acceptable to the solver. For a SAT solver, in particular, variables are Booleanized and constraints are compiled into CNF. Implemented in B-Prolog, the interface allows the programmer to use the features of the host language such as recursion, pattern matching, arrays, and loops to describe problems. The interface provides an easy and uniform platform for exploring different solvers and models. This paper compares the performance of the CLP(FD) of B-Prolog, the CPLEX IP solver, and the Lingeling SAT solver on several problems through the same interface and for each problem it compares a model that uses Boolean variables and another model that uses general integer variables. Our experience tells that it is effortless to switch from one solver to another.
WLAN device-free passive (DfP) indoor localization is an emerging technology enabling the localization of entities that neither carry any devices nor participate actively in the localization process using the already ...
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WLAN device-free passive (DfP) indoor localization is an emerging technology enabling the localization of entities that neither carry any devices nor participate actively in the localization process using the already installed wireless infrastructure. This technology can be promising for a variety of applications, where special hardware might not be applicable such as intrusion detection and smart homes. We present a demonstration of RASID, a system capable of detecting passive human motion using the already installed wireless networks. RASID uses statistical anomaly detection techniques to detect motion inside indoor environments. The system also is capable of adapting to the environment changes for enhancing its accuracy.
The authentications of digital images have become the center of attentions for certain group of companies since the number of doctored images increased. Tampering the digital images in a way that it's impossible t...
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Life time issue is a one of the most interested open issues in wireless sensor networks. Increasing life time is very important in WSNs and because of energy limitation the sensors will die and the networks cannot sen...
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Life time issue is a one of the most interested open issues in wireless sensor networks. Increasing life time is very important in WSNs and because of energy limitation the sensors will die and the networks cannot sense. value of different network topology lifetime are important for researchers to comparison their results.. In this paper we calculate the life time of the network base on greedy routing in localized routing.
Image denoising and segmentation are the two most challenging fields in medical image processing particularly when it is application specific. The presence of noise not only degrades the visual quality but also immens...
Image denoising and segmentation are the two most challenging fields in medical image processing particularly when it is application specific. The presence of noise not only degrades the visual quality but also immensely affects the accuracies of segmentation which is essential for medical diagnosis process. In this paper, we present an improved approach for denoising and segmentation of 2-D magnetic resonance brain images for detecting the tumor. We use fourth order partial differential equation based technique for removing MRI noises and thereby applied segmentation using automatic seeded region growing algorithm for detecting brain tumor automatically. The contribution of this work is the use of compass operator to preserve the anatomically significant information at the edges and a new morphological technique for skull removal from the brain MRI image which leads to the process of detecting tumor accurately. The method is tested on several real brain MRI images and it shows 100% success in detecting tumor automatically.
Portfolio replication problem is to optimize the portfolio such that its proportion-weighted combination is the same as the given benchmark portfolio. However, the benchmark portfolio generally opens only the return t...
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Portfolio replication problem is to optimize the portfolio such that its proportion-weighted combination is the same as the given benchmark portfolio. However, the benchmark portfolio generally opens only the return to the public but other information such as the assets included in the portfolio, the proportion-weighted combination, the rebalancing date and the investment strategies is closed to the public. In order to optimize such portfolios, we propose an optimization method based on the probabilistic model-building GA in this paper. On the other hand, we are focusing on the long-short portfolio optimization. The long-short portfolio consists of the assets with long positions in which they have bought and been held and with short positions in which they have been borrowed and sold. While applying any optimization method to the long-short portfolios, the portfolio as a feasible solution must be satisfied an equality constraint. In order to make the feasible solutions effectively, we propose two techniques and then apply them to our optimization method. In the numerical experiments, we show that our method has better ability to replicate the long-short portfolios with good fitness values. We found that, however, some portfolios were not replicated though our method worked well. We also discuss this problem in this paper.
The goal of personalization is to deliver content relevant to an individual user or a group of users based on what is known about them from their preferences and needs. The idea of personalization is applied and used ...
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The goal of personalization is to deliver content relevant to an individual user or a group of users based on what is known about them from their preferences and needs. The idea of personalization is applied and used widely and successfully in the world of e-commerce. The aim of this paper is to personalize student's profiles in an e-learning environment (LMS) using Java Expert system Shell known as JESS.
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