This thesis studies several problems related to recovery and estimation. Specifically, these problems are about sparsity and low-rankness, and the randomized Kaczmarz algorithm. This thesis includes four papers referred to as Paper I, Paper II, Paper III, and Paper IV. Paper I considers how to make use of the fact that the solution to an overdetermined system is sparse. This paper presents a th...

This paper describes our vehicle classification system, which is based on local-feature configuration. We have already demonstrated that our system works very well for vehicle recognition in outdoor environments. The algorithm is based on our previous work, which is a generalization of the eigen-window method. This method has the following three advantages: (1) It can detect even if parts of th...

Three major object tracking algorithms are evaluated in this paper. The performances of these algorithms for different video sequences are analysed. Object tracking is an important task in many surveillance applications, some problem and its difficulty depend on several factors such as pose change, various lighting condition, occlusion, dynamic object, scale and object motion, recent tracking a...

Growing numbers of web services that offer identical functionality but differ in non-functional properties are emerging on the network, to the need to select them to form a composite service to meet user’s requirements has become one research hotspot. Web service selection methods are an attempt to to find optimal solutions for users. However, because each user’s personal preference is differen...

Bacteria exist in a variety of groups of shapes, sizes, and single or multiple cell formations. In this paper, the level set shape reconstruction technique, the method of moments, and the marching cubes methods are integrated in the high frequency band for imaging three dimensional bacteria. The time step and the resolution of the marching cubes method are investigated to smooth the error funct...

In recent years, Wireless Sensor Networks (WSNs) have transitioned from being objects of academic research interest to a technology that is frequently being employed in real-life applications and rapidly being commercialized. The performance of a WSN is largely affected by high quality deployment and precise localization of sensor nodes. This article deliberates autonomous deployment of sensor ...

This paper presents an Extended Exact Transfer Function (EETF) algorithm for Bistatic Synthetic Aperture Radar (BiSAR) imaging of a Translational Invariant (TI) case. This algorithm adopts directly the 2D transfer function of monostatic SAR (MoSAR), instead of deriving a new one, by converting the BiSAR into an equivalent MoSAR. A new azimuth phase compensation function is constructed through e...

Different sectors are being revolutionized by distributed ledger technology. According to the 2022 market valuation, Hyperledger is now second-largest blockchain platform for smart contracts. The creation of numerous apps may be sped up and simplified with contracts, but there certain draw- backs as well. For instance, vulnerability contracts created intentionally weaken candor, employed conduc...

in this paper, an iterative method is proposed for solving large general sylvester matrix equation $axb+cxd = e$, where $a in r^{ntimes n}$ , $c in r^{ntimes n}$ , $b in r^{stimes s}$ and  $d in r^{stimes s}$ are given matrices and $x in r^{stimes s}$  is the unknown matrix. we present a global conjugate gradient (gl-cg) algo- rithm for solving linear system of equations with multiple right-han...

nowadays, one-dimensional cutting stock problem (1d-csp) is used in many industrial processes and re-cently has been considered as one of the most important research topic. in this paper, a metaheuristic algo-rithm based on the simulated annealing (sa) method is represented to minimize the trim loss and also to fo-cus the trim loss on the minimum number of large objects. in this method, the 1d-...