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    235 research outputs found

    Window Selection Impact in Human Activity Recognition

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    Signal segmentation is usually applied in the pre-processing step to make the data analysis easier. Windowing approach is commonly used for signal segmentation. However, it is unclear which type of window should be used to get optimum accuracy in human activity recognition. This study aimed to evaluate which window type yields the optimum accuracy in human activity recognition. The acceleration data of walking, jogging, and running were collected from 20 young adults. Then, the recognition accuracy of each window types is evaluated and compared to determine the impact of window selection in human movement data. From the evaluation, the overlapping 75% window with 0.1 s length provides the highest accuracy with mean, standard deviation, maximum, minimum, and energy as the features. The result of this study could be used for future researches in relation to human activity recognition

    Hydraulic Modeling of Operating Modes in the Mihaliq Main Pipe- Water Treatment Plant

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    Hydraulic water hammer has been a serious problem in hydraulic drinking water treatment systems. This potentially can cause additional stresses and strain on pipes, joints and other equipment. In closed hydraulic systems, the phenomenon of water hammer usually occurs in cases when it passes from a steady state to an unstable state. In these cases, the kinetic energy of the fluid mass was immediately converted to pressure energy. The name hydraulic water hammer comes from the sound emitted by the phenomenon, the hammer-knock sound that sometimes occurs during this phenomenon. The phenomenon of water hammer is an important element that must be considered when constructing many hydraulic structures due to the extreme changes in pressure it causes. Based on it, our research work will be focused on the hydraulic modeling of operating modes in the Mihallaq main pipe-water treatment plant

    A Comparative Study of Machine Learning Classifiers for Credit Card Fraud Detection

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    Now a day’s credit card transactions have been gaining popularity with the growth of e-commerce and shows tremendous opportunity for the future. Therefore, due to surge of credit card transaction, it is a crying need to secure it. Though the vendors and credit card providing authorities are showing dedication to secure the details of these transactions, researchers are searching new scopes or techniques to ensure absolute security which is the demand of time. To detect credit card fraud, along with other technologies, applications of machine learning and computational intelligence can be used and plays a vital role. For detecting credit card anomaly, this paper analyzes and compares some popular classifier algorithms. Moreover, this paper focuses on the performance of the classifiers. UCSD-FICO Data Mining Contest 2009 dataset were used to measure the performance of the classifiers. The final results of the experiment suggest that (1) meta and tree classifiers perform better than other types of classifiers, (2) though classification accuracy rate is high but fraud detection success rate is low. Finally, fraud detection rate should be taken into consideration to assess the performance of the classifiers in a credit card fraud detection system

    Mini-Review on Structural Performance of Fiber Reinforced Geopolymer Concrete

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    Development of alternate eco-friendly and sustainable construction solutions for meeting rising infrastructural demands have become an attractive area of research. The purpose of this study is to demonstrate and review past research works based on fiber reinforced geopolymer concrete (FRGC). Geopolymers are highly promising low-carbon, cement-less composite materials possessing enhanced mechanical and serviceability criteria in comparison to OPC based construction materials. These inorganic composites are made up of industrial wastes with higher alumina and silica content as base material using ‘alkali activating solution’ as binder agent, but are quasi-brittle in nature hence, their ductility can be improved by proper reinforcing materials preferably “fibers”. This study discusses and suggests that FRGC exhibits good thermal stability, light weight and lesser shrinkage property by understanding of previous works. Thus, rapid innovation of fiber reinforced geopolymers is highly anticipated in the near future. This paper also reviews development of FRGC and its properties; fresh and hardened. The recent developments regarding serviceability (Deflection, Crack width Control and thermal stability) are highlighted based on past literatures. The outcomes of this review paper will serve to provide a technical background of FRGC for researchers for conducting future experimental works

    COVID-19: Traffic Restrictions Incidence on the Service Life of Pavements in La Plata City of Argentina

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    The mandatory preventive social isolation imposed in Argentina due to the COVID-19 pandemic had many effects on the daily life of all the inhabitants. Behind the negative aspects caused by COVID-19, there are also beneficial effects for the population. One of them is the decrease in the movements of people to attend to their basic needs, which had been reflected in a lower volume of urban traffic in the cities. Such a decrease in demand would lead to an increase in the expected service life of pavements because they are structures calculated to support a certain number of load axes. Therefore, road maintenance policies to be carried out by the corresponding road departments could be deferred over time, without that representing a decrease in the expected bearing quality. The problem then lies in establishing which the maximum period feasible to defer these tasks is. One way to establish that value would be to link the decrease in vehicular traffic with the decrease in people\u27s movement in terms of certain activities. This can be done with the data collected by Google of those activities, which are enabled to be used for the above analysis. The present paper is based on this analysis carried out for the city of La Plata, the capital of the Buenos Aires province in Argentina, where the LEMaC is located. This analysis structure can be reproduced in other urban areas or rural road networks with slight modifications and including the corresponding local data

    Experimental Study on Fractional Replacement of Cement with Waste Paper Pulp in Concrete

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    This study is about waste paper pulp from paper industries to be employed as a fractional substitution of cement in concrete at varying percentages to access its properties and performance. To evaluate the fresh property of concrete, slump cone test was conducted. The concrete compressive strength test (CST) was evaluated by testing 36 cubes of side 150mm. Twelve concrete cylinder specimens of ‘diameter 150mm and height 300mm’ were cast to evaluate the split tensile strength (STS) and twelve specimens of size ‘150mm x 150mm x 700mm’ were cast to find out the modulus of rupture (MOR) of concrete. The slump value showed an indirect correlation with the increment in the percentage of waste paper pulp. The 28th day strength tests revealed that the compressive strength was increased by 15.5% for a 10% substitution of cement. The compressive strength was nearly the same for 5% substitution and there was a fall in compressive strength by 16.67% for 15% substitution. The tensile strength was increased by a maximum of 7.5% for 5% substitution of cement and it decreased progressively after 10% substitution. Flexural strength was increased by about 10.89% for 5% substitution, 2.5% for 10% substitution and a decrease in flexural strength of about 13.9% for 15% substitution was observed. Thus, it was concluded that fractional substitution of cement by waste paper pulp can be achieved by 5% for optimum results. The 5% substitution of cement may yield an economic and environment-friendly concrete construction

    Proposal of a LoRaWAN-based IoT System for Food Waste Management

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    Waste management is one of the main concerns with our environment which impacts the health of our society. A significant amount of waste disposed by people are organic material. Kitchen wastes like food scraps disposed by families and restaurants, are becoming in large amounts and the natural capacity of the environment cannot assimilate them. Therefore, construction of waste management systems is needed. Internet of Things (IoT) and technological development can be used for different solutions in waste management. In this paper, we have proposed a low cost food waste management system, capable to convert food wastes to compost. To make the management system, safe, efficient, and less time consuming, we propose to use a LoRaWAN-based IoT approach

    Fabrication of the Ti/SiC Based Composites by Self-Propagating High Temperature Synthesis

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    Metal matrix composites (MMC) consists of matrix and reinforcement. Aluminium (Al) and titanium (Ti) are mostly used as a matrix, while ceramics like silicon carbide (SiC) play role as a reinforcement where magnesium (Mg) act as wetting agent. Al/Ti alloys often used in the applications of powder-shaped. Nevertheless these materials are very suitable for the processes that are using a simple and novel method called selfpropagating high temperature synthesis (SHS). Based on it, some of the advanced materials such as alloys, advanced ceramics and intermetallic compounds have been focused on SHS process. The SHS compacting process is carried out in stages according of the temperatures helping by compacting force applied. Our research work will be focused on the fabrication composites based Ti/SiC by using SHS process. The microstructure of the Ti/SiC based composites was investigated by using optical microscope. The micro-hardness testing device has been used to determine the mechanical properties of Ti/SiC based composites. The relationships between reaction of the Ti and SiC have been investigated to obtain the value of the composite properties and the bond between Ti and SiC. Ti/SiC based composites were obtained with improved properties

    Design and Optimization of a Laser-Welded Corrugated-Core Steel Structure for Monopoles

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    Designing lighter structures which are resistant to environmental forces, such as wind, is of major importance as there is less usage of material. A lightweight structure is more cost effective and enables innovation in design. In this study, a laser-welded corrugatedcore steel sandwich structure is designed and optimized to reduce the amount of material used for manufacturing monopoles. A model of an existing tower, designed to resist cyclonic wind forces in Mauritius, is obtained from industry and the optimization process is carried out following a parametric study whereby several design variables are introduced. The weight of the structure is taken as the objective function for minimization. The design constraints are set as per the structural standard ANSI/TIA/EIA-222F and the limitations in manufacturing of the structure. To choose the optimum model, the reduced mass and the structural performance of the corrugated structure are compared to those of an existing tower. Once the optimum model is selected, a finite element analysis is carried out whereby the displacements and stresses developed are analyzed. Ultimately, a mass reduction of 26.1 % is achieved and the results show a safe structure

    Fast and Reliable System for Managing Customer Information of a Local Electric Power Generator

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    Web applications have become a vital requirement for organizations in managing information, because running any organization through the classic way makes the management process tough. The purpose of this paper is to propose a fast and reliable way to solve the problems that supervisors of an electric power generator face in managing customer information. This will be done through a web-based system. The system will be developed with ASP.NET web framework and MySQL database management system. Ajax and jQuery library will be utilised for smart searching facility and printing dynamic receipts. It will be easy to use and supports all smart devices because of the help of bootstrap framework. IIS web server and Microsoft Azure cloud virtual machine are used for hosting and running the system. To investigate the workability and efficiency of the system a questionnaire and an interview have been conducted and analysed. The results confirmed that, by using the system, the supervisors can manage customers’ information in an efficient way and it will save a lot of time and money and they will be able to back-up data easily. The findings of the paper can be applied for managing big-data by public or private sectors in Kurdistan

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