This paper is an overview to Visual Simultaneous Localization and Mapping (V-SLAM). We discuss the basic definitions in SLAM vision system fields provide a review of state-of-the-art methods utilized for mobile robot’s SLAM. covers topics from methods, sensors, machine algorithms feature extraction matching, Deep Learning (DL) datasets Odometry (VO) Loop Closure (LC) V-SLAM applications. Several matching are simulated show better feature-based techniques.

One of the most important key points in intelligent transportation systems is scene understanding known and unknown surrounding environment to achieve a safe driving for smart mobile robots cars. Semantic segmentation can address perception needs Intelligent Vehicles (IV). There are several deep learning approaches based on Convolutional Neural Network (CNN) semantic segmentation. Most these techniques have been designed pretrained network base loading specific weight file necessary them. In...

Feature extraction and matching is a key component in image stitching critical step advancing reconstructions, machine vision robotic perception algorithms. This paper presents fast robust underwater mosaicking system based on (2D)2PCA A-KAZE key-points optimal seam-line methods. The utilizes enhancement as preprocessing to improve quality allow for greater keyframe performance, leading better mosaicking. application focus of this imaging it demonstrates the suitability developed advanced...

Breast screening is a valuable method of decreasing chances death from breast cancer, which the most frequent cancer in women. Several methods are currently used to screen for cancer. The proposed this paper applies artificial intelligence detect and using thermal images, order minimise possibility physician's diagnosis errors. First, data on image taken patient clustered by self-organising neural networks purpose. Then, suspicious areas separated. results step an algorithm that similar...

The conventional fuzzy c-means (FCM) clustering method can be applied on data, where data features are crisp; however, when the fuzzy, FCM cannot utilized. Recently, some researchers numbers used metric has a crisp value. Since differen ce between two represented by value better than one, in this paper, it is going to extend for symmetric triangular numbers, It will shown that proposed distance expresses much metrics. Then been simulated and various real compared with several new methods....

In this paper we present a novel noise reduction method using Coordinate Logic (CL) filters applied to printed text and handwriting images. CL Filters their associated Operations (CLOs) are widely used in common practical image process applications like removing, magnification, opening, closing, skeletonization, coding, edge detection, feature extraction, fractal modeling. Using coordinate logic increases the efficiency, simplicity more than all programs speed compared morphological filters....

In this paper, a breast tissue density classification and image retrieval model is studied for the data reduction presented. This based on two-directional two-dimensional principal component analysis ((2D)2PCA) technique, support vector machine (SVM) with radial basis function (RBF) mammographic images retrieval. The formed density, according to categories defined by imaging-reporting system (BIRADS) which standard assessment of tested Mammographic Image Analysis Society (MIAS) database....

Accuracy in feature extraction is an important factor image classification and retrieval. In this paper, a breast tissue density retrieval model introduced for cancer detection based on thermographic images. The new method of analysis automated high tumor risk areas, two-directional two-dimensional principal component technique extraction, support vector machine retrievalwas tested 400 sensitivity specificity the are 100% 98%, respectively.

In this paper a low-power low-noise amplifier for neural recording and biomedical applications is presented. The frequency band of the tunable. It has gain 28.3 dB. low high cut-off can be adjusted from 24 mHz to 30.6 Hz 4.5 kHz 7.47 kHz, respectively. circuit designed in 0.18μm CMOS process, it consumes only 77.8 nW at 1.8V supply voltage. simulation results show 14.3μV input-referred noise corresponding 1.32 efficiency factor (NEF). great improvement compared with recent presented works...

Kernel methods are a class of algorithms for pattern analysis to robust them noise, overlaps, outliers and also unequal sized clusters. In this paper, kernel-based fuzzy c-means (KFCM) method is extended apply KFCM on any crisp non-crisp input numbers only in single structure. The proposed vectorized (VKFM) algorithm maps the (crisp or non-crisp) features ones applies (with prototypes feature space) them. Finally resulted mapped space influenced by an inverse mapping obtain prototypes’...

The gate tunnelling current of MOSFETs is an important factor in modelling ultra-small devices. In this reported work, the present-generation studied. Presented a model for having ultra-thin oxides. proposed model, electron wavefunction at semiconductor–oxide interface calculated and inversion charge by assuming layer as potential well, including some simplifying assumptions. Then using wavefunction. results have excellent agreement with experimental literature.

In this paper we propose a new dual gate SOI-MOSFET in order to reduce short-channel effects (SCEs). the proposed structure, bias of second which is near drain dependent on voltage. To investigate transistor characteristics, two-dimensional (2-D) analytical model for surface potential variation along channel developed. A comparison between our structure and single-gate (SG) SOI MOSFET demonstrates that short like, hot carriers effect induced barrier lowering (DIBL) are reduced considerably structure.

The conventional fuzzy c-spherical shells (FCSS) clustering model is extended to cluster involving non-crisp numbers, in this paper. This achieved by a vectorized representation of distance, between two numbers like the crisp case. Using proposed method, named vector (VFCSS), all and can be clustered FCSS algorithm unique structure. Therefore, we implement over various types structure with only few alterations details used implementing each relations VFCSS applied (containing...

An ultra-low power adjustable triangle wave generator with a multi tunable amplitude and frequency is introduced in this paper. The proposed circuit consists of Schmitt trigger current source. overall nonlinearity the TWG less than 2% its current-to-frequency transfer characteristic. range are 10KHz to 40KHz 0.1V-1.7V respectively. topology suitable for VLSI realization can be used WINeR system.

Background: Breast cancer is one of the most common types among women. Mammography standard method for diagnosing breast cancer, which can be minimize human error using computer systems error. Methods: In this paper, image processing techniques, mass was detected and identified in photograph then intelligent system outlined its margin After removing noise, fuzzy inference system, edge improvement has been applied coordinate logic filter, areas have shown image. Results: The proposed smart p...