Using sonar to detect submarines used to be an effective method. Current technologies, however, have made it possible for submarines to thwart standard (active or passive) sonar mechanisms [1]. One viable alternative is to use magnetic or acoustic sensors in close proximity to possible underwater pathways a submarine may pass through. This approach may require deploying large-scale underwater s...

A direct search approach to determine optimal reservoir operating is proposed with ant colony optimization for continuous domains (ACOR). The model is applied to a system of single reservoir to determine the optimum releases during 42 years of monthly steps. A disadvantage of ant colony based methods and the ACOR in particular, refers to great amount of computer run time consumption. In this st...

Model selection is important in many areas of supervised learning. Given a dataset and a set of models for predicting with that dataset, we must choose the model which is expected to best predict future data. In some situations, such as online learning for control of robots or factories, data is cheap and human expertise costly. Cross validation can then be a highly effective method for automat...

periodic vehicle routing problem focuses on establishing a plan of visits to clients over a given time horizon so as to satisfy some service level while optimizing the routes used in each time period. this paper presents a new effective heuristic algorithm based on data mining tools for periodic vehicle routing problem (pvrp). the related results of proposed algorithm are compared with the resu...

The original proposal described the goal of the thesis as an investigation into means to combine local inductive hypotheses into a single globally consistent hypothesis. The reviewer agreed with the defined problem, and furthermore supports the goal. The proposal advocated the use of version space intersection as the integration method. Version space intersection is the theoretically correct ap...

Iterative Closest Point (ICP) is a widely used method for performing scan-matching and registration. Being simple and robust method, it is still computationally expensive and may be challenging to use in real-time applications with limited resources on mobile platforms. In this paper we propose novel effective method for acceleration of ICP which does not require substantial modifications to th...

Accuracy and speed of algorithms play an important role in the reconstruction of temperature field measurements by acoustic tomography. Existing algorithms are based on static models which only consider the measurement information. A dynamic model of three-dimensional temperature reconstruction by acoustic tomography is established in this paper. A dynamic algorithm is proposed considering both...

The extraction of functional dependencies is a fundamental activity in the database design recovery process which is part of on an overall information systems reverse engineering effort. Existing algorithms for this task are computationally expensive and appear to be infeasible if applied to large legacy database instances, e.g., their performance deteriorated when number of attributes or/and i...

We consider the decision making by mammalian cells, looking them as dynamic systems with rhythms. We calculate the effective dimension of the cell division model of the healthy mammalian cells consistent with the data: it is described via a four dimensional dynamic system. We assume that the cell’s decision making property is strongly affected by the cells rhythms, their causal relations, and b...

heretofore several position-based routing protocols have been developed for mobile ad hoc networks. many of these protocols assume that a location service is available which provides location information on the nodes in the network.our solutions decrease location update without loss of query success rate or throughput and even increase those.simulation results show that our methods are effectiv...