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Dynamic programming is a popular optimization technique, developed in the 60's and still widely used today in several fields for its ability to find global optimum. Dynamic Programming Algorithms (DPAs) can be developed in many dimension. However, it is known that if the DPA dimension is greater or equal to two, the algorithm is an NP complete problem. In this paper we present an approximation of...
This paper demonstrates a new approach for model-based hybrid control of an underactuated system. The balancing of an underactuated inverted pendulum system is achieved using a reaction wheel. Specifically, a two-layer hybrid controller is proposed with control algorithms implemented into prioritized states from the calculated dynamic equations. The first layer controller uses the reaction wheel with...
This paper proposes a receding horizon optimization framework (RHC) for finding an approximate solution to different constrained multi-vehicle coverage problems. The optimization is based on the algorithm we have already developed for unconstrained multi-vehicle coverage problem, which inherently possessed some nice properties for dealing with unconstrained coverage problem setups. Although it was...
In this study, we propose a hybrid knowledge-based framework for author name disambiguation. The developed approach helps incrementally identify authors of documents in data acquired from various sources. The nature of the problem calls for an orchestrated use of several methods; thus, the framework is composed of two levels. The first level contains a rule-based disambiguation algorithm. The second...
One important aim in tire industry when finalizing a tire design is the modeling of the noise characteristics as received by the passengers of the car. In previous works, the problem was studied using heuristic algorithms to minimize the noise by looking for a sequence under constraints. These constraints are imposed by tire industry. We present a new technique to compute the noise. We also propose...
Heuristic search is considered state-of-the-art for classical planning. However, the performance of search heuristics varies significantly from problem to problem and no single heuristic is superior to all others. As a result, it is highly desirable to identify and utilize the best available heuristic for a particular planning problem. This paper presents a novel approach for planning that monitors...
In this paper, we address the Orienteering problem (OP) by the unsupervised learning of the self-organizing map (SOM). We propose to solve the OP with a new algorithm based on SOM for the Traveling salesman problem (TSP). Both problems are similar in finding a tour visiting the given locations; however, the OP stands to determine the most valuable tour that maximizes the rewards collected by visiting...
The research presents in this paper develops an Ant Colony System (ACS) based system optimal route choice strategy to ensure the rational traffic flow assignment for urban traffic network. In this work, the traffic flow and impedance function of each road section are calculated firstly, and then the individual traveler's route choice behaviors on network nodes are simulated based on applying the pseudo-random...
We propose an extended algorithm for path planning within environments in which there are stochastic traffic obstacles. Related works on path planning (e.g., works employing the A* algorithm) have not considered traffic obstacles but how quickly the optimal path is found. Our algorithm improves on the A* algorithm by considering probabilities of traffic obstacles and difficulty levels in taking detours...
Flowcharts have been used in problem diagnosis for a long time because of their effectiveness during process representation. However, with time, diagnostic flowcharts can become unmanageably complex and incomprehensible, thus leading to longer decision paths. A lengthy decision path also implies a time consuming diagnosis process while at the same time being boring to end users utilizing systems containing...
A flocking algorithm using leader-follower strategy is developed, using energy, navigation control and radius of communication. The system consists of multiple agents having varying velocities and second-order dynamics. At any instant the group has one leader. All agents follow this leader, based on the observation of the position and velocity of the leader by a subset of the number of agents. Agents...
Hierarchical power systems are experiencing a paradigm shift into deregulated systems. As a result many small generators are being connected at the distribution level, in order to supply a reliable and sustainable power to select customers. These generators transform the distribution systems into micro-grids which would work either in autonomous or non-autonomous modes. It becomes mandatory to connect...
For stabilizing power frequency in the grid, demand-supply balancing capability by manipulating the demand side, known as Demand Response (DR), is getting attention because of the continuous increase in renewable energy resources and deferrable loads such as electric vehicles in addition to the traditional adjustment function by supply side such as thermal plants. In the future smart grid, it is imperative...
In the recent past, Zambia has faced a critical power deficit due to low water levels in the Kariba Dam, which is a main source of electricity. This problem has negatively affected the economy. One way to mitigate this problem is by diversifying to renewable solar energy. Though the government is making efforts to diversify, the current photovoltaic (PV) systems are not efficient in managing the energy...
An attack which can be performed with a steganographic approach is detecting the presence of information in a file. There are three challenges involved in steganalysis. First, there is no guarantee for the presence of hidden data in a file. Second, there is a possibility for a data encrypted in the file. Third, for efficient transmission of message sender may add a noise in a cover medium. For overcoming...
An efficient technique to find the rank of the research papers based on the author name of numerous research fields published in several conferences. This ranking process is based on the citation network. Research paper vital is caught well with through associate vote, which on this case is exploration paper being referred to in various research papers. Utilizing an adjusted adaptation of the Page...
A photo-voltaic (PV) system is becoming popular technology as it offers advantages such as abundant energy source, environmental friendliness and cheap cost of maintenance. The operation of PV system heavily depends on solar insolations and temperature. Under the situation of partial shading, the characteristic of solar system become more complex and generate multiple maximum power points (MPP). Conventional...
Infrequent itemsets mining is an extremely important mining technique of Association Rule Mining (ARM) with wide applications. It found very helpful in a variety of domains like remedial, biology, banking, retail, market basket analysis, etc. Infrequent itemsets finds the hidden an association among the data items. The rare consolidation of the itemsets can be interesting and more profitable. The...
Evolving graphs arise in problems where interrelations between data change over time. We present a breadth first search (BFS) algorithm for evolving graphs that computes the most direct influences between nodes at two different times. Using simple examples, we show that naive unfoldings of adjacency matrices miscount the number of temporal paths. By mapping an evolving graph to an adjacency matrix...
In communications, the nodes with the ability of harvesting energy potentially can prolong the overall network lifetime. In this paper, we consider a single-user energy harvesting wireless communication system, in which arrival data and harvested energy curves are modeled as continuous functions. Our goal is to find an online algorithm for the throughput maximization problem, which only needs the...
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