A new DSWTS algorithm for real-time pedestrian detection in autonomous agricultural tractors as a computer vision system

Ramezani, H.; Dizaji, Hassan Zaki; Masoudi, Hassan; Akbarizadeh, Gholamreza

doi:10.1016/j.measurement.2016.06.067

Cited by 14 publications

(5 citation statements)

References 4 publications

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“…Bu sorunların üstesinden gelmek için derin öğrenme kapasitesine sahip yapay zekâ teknikleri kullanılmaktadır [4]. Yapay zekâ teknikleriyle otonom tarımsal traktör sistemleri [5], otoyol trafik sistemleri [6] gibi birçok farklı alanda yönetim çözümleri geliştirilmektedir. Kurumsal geniş alan ağlarının yönetimi içinde otonom ağ yönetim araçlarının kullanılması kaçınılmaz hale gelmektedir.…”

Section: Introductionunclassified

Bi̇r Kurumsal Geni̇ş Alan Ağinin Ağ Yöneti̇m Si̇stemi̇yle Etki̇li̇ Yöneti̇mi̇

Çinar¹,

Yıldırım²

2020

Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi

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Bilgi güvenliği gibi, ağ yönetimi de bilgisayar ve ağ kullanıcılarının görmezden geldiği önemli bir konudur. Kurumsal uygulamalarda geniş ve birbirinden uzak coğrafi bölgeler ile çok sayıda yönetim alanına yayılabilen, güvenli ve yüksek performansa sahip ağ bağlantılı bilgisayar altyapılarına ihtiyaç duyulmaktadır. Ancak bu tür altyapılarda kullanılan donanımlarda fiziksel ya da yazılım kaynaklı arızalar meydana gelebilmekte ve ağ performansı yetersiz kalabilmektedir. Bu çalışmada ağ yönetim sistemi alt yapısında yer alan mimari araştırılarak, günümüzde en çok kullanılan ağ yönetim sistemlerinin özellikleri incelenmiştir. İncelemelerden edinilen kazanımlar doğrultusunda yönetimi kolaylaştırmak için kurumsal geniş alan ağının nasıl kurulacağı ve ideal bir ağ yönetim sisteminin tercih edilmesi için gerekli olan özellikler hakkında detaylı bilgiler verilerek örnek bir kurumsal geniş alan ağının modellemesi açıklanmıştır.

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Section: Introductionunclassified

Bi̇r Kurumsal Geni̇ş Alan Ağinin Ağ Yöneti̇m Si̇stemi̇yle Etki̇li̇ Yöneti̇mi̇

Çinar¹,

Yıldırım²

2020

Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi

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“…Generally, REC involves the research fields such as image segmentation, object classification, and texture recognition. Image segmentation is important to many research fields such as synthetic aperture radar (SAR) image registration [1], real‐time agricultural tractors [2], scour depth prediction [3], real‐time traffic monitoring [4] etc. A neural network with a hybrid algorithm of convolutional neural network (CNN) and multi‐layer perception CNN‐multilayer perceptron [5] are utilised for the image classification.…”

Section: Introductionmentioning

confidence: 99%

Referring expression comprehension model with matching detection and linguistic feedback

Wang

Cui

Liu

et al. 2020

IET Computer Vision

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The task of referring expression comprehension (REC) is to localise an image region of a specific object described by a natural language expression, and all existing REC methods assume that the object described by the referring expression must be located in the given image. However, this assumption is not correct in some real applications. For example, a visually impaired user might tell his robot ‘please take the laptop on the table to me’. In fact, the laptop is not on the table anymore. To address this problem, the authors propose a novel REC model to deal with the situation where expression‐image mismatching occurs and explain the mismatching by linguistic feedback. The authors' REC model consists of four modules: the expression parsing module, the entity detection module, the relationship detection module, and the matching detection module. They built a data set called NP‐RefCOCO+ from RefCOCO+ including both positive samples and negative samples. The positive samples are original expression‐image pairs in RefCOCO+. The negative samples are the expression‐image pairs in RefCOCO+, whose expressions are replaced. They evaluate the model on NP‐RefCOCO+ and the experimental results show the advantages of their method for dealing with the problem of expression‐image mismatching.

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“…In order to recognize and identify selected objects, SAR can provide high-resolution images to distinguish terrain features. Various tasks of SAR images have been found, such as segmentation [19], classification [18], target recognition [20], change detection [21], or a combination of them [22]. Alzeyadi et al [23] applied the synthetic aperture radar (SAR) imaging and the K-R-I (curvature-area-amplitude) transform to measure moisture in a concrete panel specimen (water-to-cement ratio = 0.45).…”

Section: Introductionmentioning

confidence: 99%

Measurement of interphase forces based on dual-modality ERT/DP sensor in horizontal two-phase flow gas-water

et al. 2019

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In order to better understand the mechanisms of two-phase flow and the prevailing flow regimes in horizontal pipelines, the evaluation of interphase forces is paramount. This study develops a method to quantitatively estimate the interphase force in two-phase gas-water flow in horizontal pipeline. The electrical resistance tomography technology is used to measure the void fraction, while the differential pressure perpendicular to the horizontal pipe is measured in different flow patterns via a Differential Pressure sensor. The inner pipe diameter is 50 mm, the water flow range from 3.26 m 3 /h to 7.36 m 3 /h, the gas flow rate range from 1 to 60 l/min, which covered a range of flow patterns, the absolute pressure range from 0.07 MPa to 0.12 MPa. The relationship between the differential pressure drop and interphase force is established, and the effects of these forces on the flow are analyzed. Experimental results indicate that the dual-modality measurement system was successfully provided a quantitative evaluation of interphase forces in two-phase horizontal gas-water flow.

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A new DSWTS algorithm for real-time pedestrian detection in autonomous agricultural tractors as a computer vision system

Cited by 14 publications

References 4 publications

Bi̇r Kurumsal Geni̇ş Alan Ağinin Ağ Yöneti̇m Si̇stemi̇yle Etki̇li̇ Yöneti̇mi̇

Bi̇r Kurumsal Geni̇ş Alan Ağinin Ağ Yöneti̇m Si̇stemi̇yle Etki̇li̇ Yöneti̇mi̇

Referring expression comprehension model with matching detection and linguistic feedback

Measurement of interphase forces based on dual-modality ERT/DP sensor in horizontal two-phase flow gas-water

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