bluuebunny/crossref_metadata_2025_split huggingface dataset:
Electrosynthesis of Cu/hydroxyapatite as the catalyst for hydrogen production via NaBH4 hydrolysis
Authors: Nur A , Nazriati N , Fajaroh F , Arthaningrum A , Nurcahyani I , Cipto D L R P , Kurniawan F 
Published: February 2021

Abstract
Synthesis of Cu/hydroxyapatite by electrochemical was studied. These particles used as the catalyst for hydrogen production via NaBH4 hydrolysis. The work aimed to study how the current density and the electrolysis time during catalyst synthesis affect the generation of hydrogen via the hydrolysis kinetics of NaBH4. Catalyst synthesis was carried out in an electrochemical cell separated by the membrane bipolar. Electrolysis was carried out at various current densities (67, 133 and 200 mA/cm2) and various electrolysis times (30, 60, and 90 minutes). This research shows that at high current density and electrolysis time, the peak intensity of the XRD Cu and CuO patterns was low and the peak intensity of the hydroxyapatite pattern was high. Hydrogen production by hydrolysis of NaBH4 is better for catalysts that are synthesized at high current density and electrolysis time.
Effect of fly ash and bottom ash on the ratio of splitting tensile strength to compressive strength of concrete
Authors: Mahajan Lomesh , Bhagat Sariputt 
Published: February 2021

Abstract
The construction industry has suffers from extra ordinary utilization of cement and sand in all the part of globe. For overcome the future scarcity issue partial replacement to cement with option of fly ash material and fine aggregate or sand with bottom ash prove better solution. For this study, effect of different water cement ratio mainly 0.5, 0.55, 0.6 evaluated on binder content 300kg/m3 of concrete. f/c (fly ash/cement) ratio also taken into account with wide range as 0, 0.11, 0.25, 0.43, 0.67 and 1.0. The mechanical strength of concrete specimens evaluated. The traditional practice generally neglected the issue of splitting to compressive ratio(ft/fc). In this experimental investigation, the value of ft/fc ratio found between ranges 6.76 to 11. This range are principally important for fly ash + bottom ash involvement in concrete for determining mechanical strength which has interlink to each other.
Seismic analysis of various combinations of irregularities in a structure
Authors: Prakash Boddu Venkata Sai , Vibhav Brungi Sri , Narayana Jinka Lakshmi 
Published: February 2021

Abstract
One of the important governing parameters of the seismic performance of a structure is its irregularities. There are many types of irregularities such as geometric irregularities, mass irregularities, irregularities due to varied column shapes and dimensions, etc. It is very evident that these irregularities are seen in every project in this contemporary world. We have to acknowledge that there is a tremendous scope for these irregularities to exist in combinations. Although there has been extensive literature on various irregularities and their combination, it was evident that authors restricted themselves to limited combinations. This paper investigates the seismic response of a multi-storeyed building induced with combinations of irregularities by varying the seismic parameters using STAAD Pro. Various configurations of mass and torsion irregularities in combination with other irregularities were induced in the structure and results of seismic response using response spectrum methods were assessed to arrive at novel solutions.
Effect of multiwalled carbon nanotube incorporation in modulus elasticity of concrete with partial replacement of cement with flyash
Authors: Ashwini B , Vidiveli B 
Published: February 2021

Abstract
The aim of this research article is to analyze the effects of Multiwalled Carbon Nanotube incorporation in the concrete and to discuss the significance of the changes in the mechanical property. In addition the cement replacement was also done. Hence in this research the combined effect will be analysed. The three different proportions such as 0.025%, 0.05% and 0.075% of incorporations were made along with 20% replacement of cement with Class-F flyash. The most important part in incorporation of MWCNTs in concrete is dispersion or surface decoration. It was done with Poly-Carboxylic Ether solution and magnetic stirring. After specimens casting and 28 days of immersed curing the specimens were tested for the elastic modulus of concrete.
Spatial Analysis and Mapping of Groundwater Quality in Uppal Kalan, Hyderabad
Authors: Hari Durgasrilakshmi , Rudraksh Goud Y , Meghana Dodla 
Published: February 2021

Abstract
Water is an essential element intended for the continued survival of life on the planet earth in which groundwater is the chief sources of drinking and other uses. Groundwater quality will become essentially important in water scarce areas. The study considered is in Uppal Kalan area, which comes under Medchal-Malkajgiri District of Telangana State. The present study carried out to analyse the physicochemical parameters of groundwater quality such as pH, Turbidity, Colour, Total Dissolved Solids (TDS), Conductivity, Dissolved Oxygen (DO), Alkalinity, Total Hardness, Calcium, Magnesium, Fluoride, Potassium, Phosphate, Nitrate, Chloride and Sulphate for 50 sample well locations. The results of Physicochemical analysis are spatially analysed and mapped using Geographic Information System (GIS) interpolation techniques to visualize the groundwater quality status in the study area. Spatial analysis showed that the groundwater is highly contaminated and the majority of quality parameters are not within the BIS Standards of drinking. Even for domestic use proper treatment is necessary as Colour, Conductivity, Total Hardness, Calcium, Magnesium, Fluoride, Phosphate, Nitrate and Sulphate are at higher levels. Hence, the study area has an exceptional concern about groundwater quality and requires periodic pollution monitoring.
Detection of diabetic retinopathy using deep learning methodology
Authors: Mushtaq Gazala , Siddiqui Farheen 
Published: February 2021

Abstract
Diabetic retinopathy is a complication of diabetes that targets the eyes by damaging the retinal blood vessels. Initially it is asymptomatic or causes fluctuating vision problems. As it becomes severe, it affects both the eyes and eventually causes partial or complete vision loss. Primarily occurs when the blood sugar level is unmanageable. Therefore, the person with diabetes mellitus is always at a high risk of acquiring this disease. The early detection can deter the contingency of complete and permanent blindness. Thus, requires an efficient screening system. The present work considers a deep learning methodology specifically a Densely Connected Convolutional Network DenseNet-169, which is applied for the early detection of diabetic retinopathy. It classifies the fundus images based on its severity levels as No DR, Mild, Moderate, Severe and Proliferative DR. The datasets that are taken into consideration are Diabetic Retinopathy Detection 2015 and Aptos 2019 Blindness Detection which are both obtained from Kaggle. The proposed method is accomplished through various steps: Data Collection, Preprocessing, Augmentation and modelling. Our proposed model achieved 90% of accuracy. The Regression model was also employed, manifested up an accuracy of 78%. The main aim of this work is to develop a robust system for detecting DR automatically.
Hybrid data clustering approaches using bacterial colony optimization and k-means
Authors: Revathi J , Eswaramurthy V P , Padmavathi P 
Published: February 2021

Abstract
Data clustering is a fashionable data analysis technique in the data mining. K-means is a popular clustering technique for solving a clustering problem. However, the k-means clustering technique extremely depends on the initial position and converges to a local optimum. On the other hand, the bacterial colony optimization (BCO) is a well-known recently proposed data clustering algorithm. However, it is a high computational cost to complete a given solution. Hence, this research paper proposes a new hybrid data clustering method for solving data clustering problem. The proposed hybrid data clustering algorithm is a combination of the BCO and K-means called BCO+KM clustering algorithm. The experimental result shows that the proposed hybrid BCO+KM data clustering algorithm reveal better cluster partitions.
Reinforcement Learning For Walking Robot
Authors: Akila V , Anita Christaline J , Jothi Mani A , Meenakshi K 
Published: February 2021

Abstract
Reinforcement learning namely Deep Q Learning neural network is used to make a robot walk in a controlled environment. The main objective of this paper is to make a robot learn to walk by building a model in hardware with six forms of movement. The basic alignment of robot at any moment depends on the direction of movement of stepper motor of a leg joint by test and trial method without any preordained model. The robot is made to freely walk which is stopped without falling down and is able to move freely over a transportable platform. Hardware robot communicates to the learning model which is run on the local machine through a USB port connection.
Performance Analysis of Image Denoising using Deep Convolutional Neural Network
Authors: Thayammal S , Sankaramalliga G , Priyadarsini S , Ramalakshmi K 
Published: February 2021

Abstract
A performance analysis of conventional Convolutional Neural Network (CNN) based denoising method is proposed. In this image denoising method, the contrast of images is adaptively enhanced. Generally, it is not possible to capture the imageswith good quality for all situations. Because they are captured in various light conditions.So, the captured images are suffered by noise, which results in poor perceived image quality. Thus, it is necessary to improve the quality of images with edge detail preservation as much as possible. The convolutional neural network model for low light image enhancement is already developed and is named as DnCNNs. Here, the performance analysis of image denoising using the DnCNNmodel is presented. The DnCNN implicitly removes the noise in the image. The simulation results afford better reference for application developers.
Selection of Excitation Signals and Acoustic Pressure Measurement for In-Vivo Studies with Ultrasound Array Research Platform II
Authors: Mohamed Moubark Asraf , Nie Luzhen , Hairi Mohd Zaman Mohd , Asyraf Zulkifley Mohd , Hamid Md Ali Sawal , Freear Steven 
Published: February 2021

Abstract
In recent years, the Ultrasound Group at the University of Leeds has developed an open platform (OP) known as Ultrasound Array Research Platform II (UARPII). The OP serves as a main component for researchers to test and implement new algorithms which is not feasible with the commercially available clinical scanners. In this paper, three types of excitation signals, the square pulse, 2-cycle sinusoid and linear frequency modulated chirps which are commonly employed in ultrasound imaging, were investigated for in-vivo experiments with the UARP II OP. The USA food and drug administration (FDA) provides strict guidelines that need to be followed when working with in-vivo medium. This is to ensure that the acoustic beam intensities do not cause any types of thermal damage and cavitation. The acoustic pressures produced by those excitation signals were measured with a needle hydrophone. The main three parameters of the excitation signals measured and calculated are the mechanical index (MI), spatial peak pulse average intensity (SPPA) and spatial peak temporal average intensity (SPTA). By considering advantages and disadvantages of all investigated excitation signals, the 2-cycle sinusoidal signal has been selected for all simulations and experiments with the in-vivo medium.
Detecting driver mental fatigue based on Electroencephalogram (EEG) signals during simulated driving
Authors: Pradeep Kumar S , Murugan Suganiya , Selvaraj Jerritta , Sahayadhas Arun 
Published: February 2021

Abstract
More than 20% of road accidents are due to driver fatigue and considered to be major inference for transportation safety. This study aims to analyze fatigue state from the EEG signals of the drivers while performing a simulated driving task. Ten healthy participants involved in this study at three different timings. EEG signals were recorded continuously during monotonous driving in the simulator. Based on the video analysis the fatigue state and normal state related EEG signals were collected and decomposed using discrete wavelet transform. In this work the alpha and theta sub bands were considered for analysing the fatigue state of drivers. Features were extracted and classified using machine learning algorithm such as SVM, KNN and Ensemble. The result shows an accuracy of 97.8% in occipital region (O1 in alpha and O2 in theta) for classifying the fatigue state.
Behavior investigation of powder actuated shear connectors in composite beams with profiled sheeting
Authors: TONKIKH Gennadiy P , CHESNOKOV Denis 
Published: February 2021

Abstract
Eurocode 4 and Russian SP266.1325800.2016 composite structure design codes require touse shear connectors for providing a combined action of steel beam and concrete slab. Both codes also allow use steel profiled sheeting as a stay-in-place formwork. In this case, the designer has to use a reduction factor to define the real shear resistance. However, the existing method is mostly based on round-shape welded studs and does not take into account the peculiarity of powder actuated shear connectors.
This paper presents the result of an investigation of the behaviour of powder actuated shear connectors Hilti X-HVB in composite beams. One of the goals was to explore the influence of the steel profiled sheeting`s geometry on shear resistance of the connectors. Fifteen test series were conducted with different numbers of connectors, slab thicknesses, installation parameters of the connectors and types of profiled sheeting. All types of sheeting that were used as the test samplesare manufactured according to the Russian national standard and are widely used for composite slab design. Some test cases had smaller edge distances for shear connectors installation in profiled sheeting than allowed by the technical data of the producer, because they took place in real practice in CIS countries.
The test results have been evaluated according to Appendix B of Eurocode 4. The results for samples with solid slabs are in fully agreement with external experience. Most of series with profiled sheeting also match predicted design values; however, there were some series with insufficient results. Therefore, a deeper analysis and additional testing are necessary. The current investigation results could be used to specify the existing reduction factor that is included in the Russian composite structure design code SP266.1325800.2016
A platform to test and automation on gesture and motion controls of play station 4 using robotic arm
Authors: Sakthi D , Vijay T P , Subramaniam Venkat 
Published: February 2021

Abstract
Gesture and motion play an important role in computer games. This paper reveals about automation testing for gesture and motion-based interaction on play station4 and to provide a single automation test setup for multiple devices of same family. Generally, play station 4 gesture controls are tested manually by using move motion controller which leads to tedious effort of building a gesture and motion test. The proposed system provides low cost and effective automation test solution for gesture and motion-controlled devices. The created platform ‘TAGMED’ - Test Automation for Gesture and Motion Enabled Devices, a test automation tool to provide automation testing through the gesture and motion input simulation to play station4 gaming consoles. The automation test solution has robotic arm tweaked to handle PS4 MOVE controller and simulate gesture input on testing device, the platform captures the corresponding output, compares the captured output with the expected output and provides the report. This helps in bringing better accuracy of recognition, repeatability and defect less testing.
Design and analysis of a radial centrifugal pump for cryogenic helium based application
Authors: Das J , Lakhera V J , Sarkar B 
Published: February 2021

Abstract
A centrifugal pump is a rotordynamic machine that has wide spread application in industry. After analytical design, it is important to check the machine performance by some numerical method to be assured of machine performance before manufacturing. In the present study, a centrifugal pump conforming to a specific process requirement for cryogenic helium fluid has been developed in detail. This involves analytical design derivation of the stator and rotor part, computer aided design (CAD) modelling, meshing and detailed computational dynamic analysis (CFD) analysis. In line with analytical prediction, it is seen from simulation results that the designed machine meets the given requirements with an achieved hydraulic efficiency of 88%.
Finite Element simulation and Optimisation of blank holder force and rectangular drawbead geometry using Taguchi method for hemispherical cup
Authors: Eklarkar Shripad V , Nandedkar V M 
Published: February 2021

Abstract
In sheet metal forming process for obtaining good component one of the important practices is to controlling the sheet material flow into the die cavity. This is possible by applying the proper blank holding force and optimized drawbead geometry on the surface of the die.This paper aims to investigate the effect of drawbead geometry and blank holding force on thickness of formed component and restraining force using the Taguchi optimized technique. FE simulation is carried out by hyperform software and L9 orthogonal array design of experiments is used for simulation. Furthermore the values of thickness and drawbead forces predicted by developing a linear regression model. From the result, it is noticed that the shoulder radius and drawbead height are more influencing parameters for controlling the restraining force and thickness variation. The obtained results are validated by conducting conformation test and values obtained are the good agreement with the literature data and simulated results.
Potentials of plastic oil as Buton asphalt solvent
Authors: Hariadi D , Saleh S M , Yamin R A , Aprilia S 
Published: February 2021

Abstract
Plastic is a polymer that is difficult to be decomposed, one way to decompose it through pyrolysis. Buton Asphalt (Asbuton) has a high hardness (low penetration) so Asbuton cannot be used directly. Therefore, its use must be mixed with other asphalt which is softer, lighter oil, or other solvents. This research looks the effect of quality Plastic-type Low-Density Polyethylene (LDPE) to the potential of plastic oil resulting from the pyrolysis of plastic waste as asphalt solvent in Asbuton. Based on the quality of the LDPE plastic used in this study be distinguished; LDPE-White, Mix-plastic LDPE, and Blend-Plastic LDPE. From this case study, it can be concluded that based on its chemical compound, all plastic oils produced in this study can be categorized as carbon compounds rather than hydrocarbon compounds and only oils from LDPE blend-plastics contain carbonyl groups. Therefore, the oil is more suitable to be used as a solvent or solvent.
Study on natural ventilation performance in flats design at Banda Aceh
Authors: Iqbal M , Munir A , Sari L H 
Published: February 2021

Abstract
Flats are one of the solutions to housing problems faced by all countries in the world, especially developing countries like Indonesia. Flats are intended for low-income society. But ventilation problems often occur in some vertical housing due to non-optimal layout and lack of openings in each unit. The cheapest solution is to optimize the natural ventilation to expediting air circulation from inside to outside. The purpose of this study is to review natural ventilation performance in flats design at Banda Aceh. Natural ventilation offers healthy and comfortable air circulation without additional energy. The performance of natural ventilation is affected by the building’s layout and orientation, the opening’s orientations, locations, dimensions, types and the air-flow controller. The methodology used is the observation method with a descriptive survey that aims to look for symptoms with an observation method. The study begins with a field study and then conducts an analysis to compare existing conditions with theoretical studies. The results obtained are the design of these flats has been designed to be able to maximize the natural ventilation system, but the air movement cannot be felt by the occupants due to the opening’s dimensions which is not following the existing standards.
An evaluation of the tropical architectural concept on the building design for achieving thermal comfort (Case study: engineering faculty of Syiah Kuala university)
Authors: Ghassan M L , Sari L H , Munir A 
Published: February 2021

Abstract
Thermal comfort is one of the main goals in architectural design. For the tropics, thermal comfort can be achieved with passive cooling and active cooling. Buildings in the tropics should be designed to maximize the application of passive cooling to achieve thermal comfort by adapting to the climate using the concept of tropical architecture. The study was performed at the building of the Faculty of Engineering of Syiah Kuala University seen to be applying tropical architecture. The research aims to find out how the application of tropical architectural concepts in building designs to achieve thermal comfort. The methodology used was a qualitative method by observing the mass and orientation of the building, roofs, ceilings, walls, openings and vents, shading, and landscaping. The results indicated that the rectangular building with the shortest side faces east-west aiming to reduce the hottest exposure to solar radiation in the east and west. There are many openings on the north-south side to maximize air flow. The gable shape with a slope of 30° is a form of adaptation to the tropical climate to shade the building from the sun and rain. The use of vertical, horizontal, and hallway shading devices as shade can protect direct light from the sun. The building maximizes cross air flow with many openings. It is recommended to conduct further research in this study which is accompanied by field measurements and thermal comfort simulation tests.
The evaluation of green open space of disaster prone coastal areas
Authors: Abubakar A , Fuady M , Achmad A 
Published: February 2021

Abstract
The utilization of Green Open Space (GOS) is one of the aspects of urban environment that has an important value to the human life in urban areas considering its function in providing benefits ecologically, socially, culturally, aesthetically, and economically. An aappropriate utilization aims to improve the quality and quantity of green space, especially in the coastal areas, the use of green space is interesting to study because most of the land planned as green space is considered as a potential land and tends to be often misused on its use. This study aims to identify the existing land use andevaluate the use of GOS to increase the potential development of GOS utilization in coastal areas in Banda Aceh as stipulated in the Regional Spatial Plan (RSP) of Banda Aceh. The evaluation starts from analyzing the existing land use of GOS that has been determined in the SRP of Banda Aceh City through the processing of satellite images in 2016 by using the geospatial information systems application as an analytical aid. The image illustrates the existing land use conditions. The outcome obtained indicates that there is a change in the function of GOS that has been designated as a residential area and trade and services as well as the utilization of GOS that is not optimal yet. The results are expected to be a reference in optimizing the use of green open space in disaster-prone coastal areas in the city of Banda Aceh.