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1475 articles for “Performance”
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Effect of Binder Type, Binder Content, Aggregate Gradation, Temperature and Air Voids on Rutting Susceptibility of Bituminous Mixes
Abstract: Abstract This paper presents an experimental investigation carried out to evaluate the rutting susceptibility of bituminous mixes. The effect of binder type and content, aggregate gradation and temperature are evaluated by means of a wheel tracking test. Two conventional VG 30 and VG 40 binders and one SBS polymer modified binder PMB 40 are used. Three types of aggregate gradations for bituminous concrete (BC), a dense graded mix commonly used …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 1, Issue 2, 2015 · pp. 31–39 Read article
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Experimental Assessment of Durability of Asphalt Pavement Surfacing Modified with Fly-Ash Under Moisture Submergence
Abstract: The impact of environmental factors such as moisture and temperature cycles together with traffic loads and configurations on pavement combined with the need for improved construction materials have made it pertinent for research into better ways to enhance asphalt pavement properties for better performance. This study adopts an experimental approach using the Marshall Mix design method to investigate the effect of fly-ash in the enhancement of asphalt pavement wearing course …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 6, Issue 2, 2020 · pp. 1–9 Read article
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Analytical study of non-linear dynamic analysis of skew bridge
Abstract: After earthquakes, the function of highway bridges is an important issue. The history of major earthquakes helps in the understanding of the performance of bridges during earthquakes. Many parameters affect the response of skewed highway bridges under both service and seismic loads which makes their behavior complex. However, under certain conditions, it may be necessary to analyze a structure to more accurately predict its structural behavior. The current procedure of …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 9, Issue 2, 2023 · pp. 17–23 Read article
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Delineate Catchment Areas of Vindhyachal Region Using Geospatial Techniques
Abstract: In this paper we used an integrated suite of raster and vector geospatial datasets to delineate and characterize watersheds. The geospatial datasets used to delineate and characterize watersheds with the help of Arc Hydro tools of Arc GIS software. We have performed drainage analysis on a terrain model for Vindhiyanchal Region. With the availability of digital elevation models (DEM) and geographic information system (GIS) tools, watershed properties can be extracted …
Published in International Journal of Water Resources Engineering · Vol. 1, Issue 1, 2015 · pp. 1–9 Read article
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Evaluation of Hydrodynamic Characteristics of Quarter Circular Breakwater by RBF Network and Regression Models
Abstract: Breakwaters are massive structures constructed to provide the required tranquility within the ports and also used for safeguarding the beaches from eroding due to severe action of waves especially during inclement weather. In the recent years, innovative structures like Semi-Circular Breakwater (SCB) and Quarter Circular Breakwater (QCB) are being evolved to fulfill the ever increasing demand from coastal sector. QCB is a modified SCB, which is similar to caisson consists …
Published in International Journal of Water Resources Engineering · Vol. 6, Issue 2, 2020 · pp. 11–22 Read article
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Hydrological Response of Land Use Land Cover Change on Stream Flow of Anger Watershed, Blue Nile Basin, Ethiopia
Abstract: ABSTRACT The soil and water assessment tool (SWAT) model was applied to simulate the streamflow from the Anger watershed (7,982 km2), located in Western Oromia Regional State, Ethiopia. ArcGIS was applied to layer staking, mosaicking, image classification, and accuracy assessment. The purpose of the study was to examine the applicability of the SWAT model and to detect the effect of past land-use land-cover change on streamflow of the watershed. The …
Published in International Journal of Water Resources Engineering · Vol. 6, Issue 2, 2020 · pp. 39–58 Read article
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Prediction of Rainfall Using MLP and RBF Networks for Monsoon and Post-Monsoon Seasons of Pune and Mahabaleshwar Regions
Abstract: Prediction of rainfall for a river basin has utmost importance for planning of irrigation and drainage system as also for command area development. For example, analysis of consecutive days of rainfall is more relevant for drainage design of agricultural lands whereas analysis of weekly rainfall data is relevant for planning of cropping pattern. Likewise, analysis of monthly and seasonal data is more useful for water management practices. With the development …
Published in International Journal of Water Resources Engineering · Vol. 7, Issue 1, 2021 · pp. 34–51 Read article
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Effective Use of Various Types of Software Testing and Its Applications to Bug Free Software
Abstract: The significance of software testing lies in its ability to minimize errors, streamline maintenance efforts, and reduce overall costs associated with software development. For now, about the full details of any software development, there is a concept of software development life cycle. It describes the stages of the software development. The software testing process is crucial for executing a program to discover errors and evaluate the characteristics of the software. …
Published in International Journal of Distributed Computing and Technology · Vol. 9, Issue 1, 2023 · pp. 6–10 Read article
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On Image Processing Using MATLAB: A Survey
Abstract: Abstract The digital image processing research has following attributes: Image Acquisition, Image Enhancement, Image Segmentation Feature Extraction and Classification. Each steps of digital image processing research has gone long way in developing the techniques, algorithms and methods. This paper will study the use of MATLAB in the steps of digital image processing research. Record each techniques and algorithms, discuss about the sequential timeline development of the algorithms. The performance of …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 1, Issue 1, 2015 · pp. 28–33 Read article
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Detection of PARD Attack Using Key Based Biometric Authentication System Based on Fingerprint Impression
Abstract: Biometric authentication plays a major role in security as these are by nature unique for every human. But the security is compromised when the pattern matching system is not accurate. Authentication system like fingerprint recognition is most commonly used biometric authentication system. In this paper, survey is done on fingerprint recognition techniques. And different approaches are studied in terms of accuracy and performance. As fingerprint may also contain noise; so, …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 3, Issue 1, 2017 · pp. 25–34 Read article
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A Study of Mobility Models in Wireless Ad-Hoc Network
Abstract: The impact of mobility models depends upon the routing protocols in ad hoc networking. This work provides a comprehensive study using wide range of a wireless ad hoc network parameters, and draws conclusions for the performance of routing protocols under different mobility models. The routing protocols used are DSR. The mobility models used are Random Way Point (RWP), Gauss Markov (GM). The performance metrics used are Packet Delivery Ratio (PDR), …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 3, Issue 2, 2017 · pp. 20–26 Read article
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Medical Image Fusion Using Fuzzy Logic and DHT Based Feature Extraction
Abstract: Abstract The traditional medical image fusion techniques suffer from various issues such as these techniques did not detect the relevant information from the image as the whole image is considered as important whether it is meaningful to the user or not. Thus a novel fuzzy based image fusion technique is developed in this work to fuse the MRI and PET images. Before fusing the images, the 2DHT, HIS transformation and …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 4, Issue 2, 2018 · pp. 9–17 Read article
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Redundant Keypoint Elimination Using Redundancy Index on Basic SIFT Algorithm
Abstract: ABSTRACT Matching features across different images is a common problem in computer vision. For the images of different scales and rotations, there is the need of scale-invariant feature transform (SIFT). SIFT identifies the distinctive keypoints that are invariant to location, scale, rotation, robust to affine transformations (changes in scale, rotation, shear, and position) and changes in illumination, which are usable for object recognition. SIFT algorithm includes two main stages: feature …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 5, Issue 1, 2019 · pp. 22–31 Read article
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Land use changes in the suburbs of Urmia in northwestern Iran using Landsat image processing
Abstract: ABSTRACTInvestigating land use/land cover changes in the suburbs is one of the interesting topics Attention is especially for city managers. Satellite image processing it is the most important source of information in this regard. In this study, Landsat 7 and 8 satellite images were used. Initially, preliminary projections including geometric and radiometric corrections were performed. After selecting the ground control points then using the max method Similar image classification was …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 6, Issue 2, 2020 · pp. 51–56 Read article
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Recognition and Detection of Content in Video Using OpenCV
Abstract: The emergence and continued reliance on the Internet and related technologies has resulted in massive amounts of data that can be analysed. Humans, on the other hand, do not have the cognitive abilities to comprehend such vast amounts of data. Machine learning (ML) is a mechanism that enables humans to process large amounts of data, gain insights into the data's behaviour, and make more informed decisions based on the analysis's …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 7, Issue 2, 2021 · pp. 42–47 Read article
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Deep Learning in Medical Image Classification and Object Detection: A Survey
Abstract: Deep learning methods have demonstrated superior performance in the area of computer vision, speech recognition, natural language processing, healthcare, and many more. Convolutional neural networks (CNNs) are a class of deep learning methods that have the ability to learn from raw data available as images, audio, or text. CNNs have become a powerful tool for variety of pattern recognition tasks due to the availability of abundant data and GPU-based training. …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 8, Issue 2, 2022 · pp. 1–15 Read article
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Virtual Machine-Based Task Scheduling Algorithm
Abstract: Cloud computing is a type of internet-based computing that provides shared computer processing resources and other devices on demand. It is very useful for the applications which sharing their resource on different nodes and also cloud computing has more scalability. The performance and efficiency of cloud computing always depends on the performance of user tasks. Virtualization concept was introduced to improve the efficiency of cloud computing. Virtualization refers to creating …
Published in International Journal of Software Computing and Testing · Vol. 3, Issue 1, 2017 · pp. 18–26 Read article
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INDISCRIMINATE BASED UNIT TESTING FOR AUTOMATED TEST STATEMENT PRODUCTION
Abstract: Random based mostly Testing is that the follow of victimization organisation for a few aspects of check computer file choice. During this system describe the unit check knowledge generator. Its 2 levels. The lower level could be a Random based mostly unit testing engine that tests a collection of ways in keeping with parameter values specific as genes in a very body, together with parameters that encrypt a worth utilize …
Published in International Journal of Software Computing and Testing · Vol. 3, Issue 2, 2017 · pp. 1–5 Read article
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Experimental Realization of Constrained Optimization of Sliding Mode Controller Parameters with Modified Objective Functions
Abstract: An appropriately tuning of Sliding Mode Control (SMC) can be used to overcome the weaknesses like sensitivity to parameter variations, modeling errors and external disturbances. In this research article, Non-Dominated Sorting Genetic Algorithm (NSGA-II) based SMC with modified objective function and the best weight values have been evaluated to improve the performance of closed-loop level control system. Equivalent weights and importance weights are assigned to each term of an objective …
Published in International Journal of Software Computing and Testing · Vol. 6, Issue 1, 2020 · pp. 8–25 Read article
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Feature Extraction and Evaluation of Colon Cancer Using PCA, LDA and Gene Expression
Abstract: At about 90 per cent of cases occurring in 50 people or older, colorectal cancer is the second most common type of cancer globally. Cancers may penetrate the deeper layers of colon and spread to other organs from the inner surface or from the muscular layer of the colon. The illness is lethal left untreated. Current screening of colon cancer is performed by colonoscopy. Visual examination of the colon and …
Published in International Journal of Software Computing and Testing · Vol. 6, Issue 1, 2020 · pp. 26–32 Read article