bluuebunny/crossref_metadata_2025_split huggingface dataset:
Investigation of closed compartment moulding for pull-winding process
Authors: Malek Yaâ€™acob Abdul , Daniel Aizat Mohd Razali Mohamad , Abdillah Anwar Umar , Arif Hakimi Mohd Radhi Mohd , Aizat Afifi  Ishak Muhammad , Minhat Mulia , Dahri Mohd Aris Khairul , Khudri Johari Muhd , Teh Casey 
Published: November 2018

This project investigates the closed compartment moulding design for pull-winding process. This is a continuation of an initial study that involved discovering how the permeability effect inside a close compartment in pull-winding processing. The mould has been designed to ensure resin penetration to the preform. The mould design has been divided into three parts for easy installation, maintenance and also cleaning after use. The mould has been tested on an actual production line at TenAsia Sdn. Bhd. The test is conducted by pulling mechanism where the machine pulls the preform winding forward when it is switched on. In this process, the resin is flowing through the hose and it has been sprayed out by the nozzle inside the mould to the preform. The test has been done using 2, 4 and 6 nozzles with various pressures to determine which one is the most suitable for penetration and covering up the preform. Based on the results, the most economical and productive design has been identified as spray type with 2 upper and lower nozzles running at an appropriate pressure of 20 psi. This pressure has been chosen based on the area covered on the preform surfaces and time taken to penetrate the preform layer. In conclusion, 20 psi pressure works better due to the resinâ€™s deeper penetration in shorter time, less mist and very minimal excess resin.Â Â
Performance analysis of an Organic Rankine Cycle system with superheater utilizing exhaust gas of a turbofan engine
Authors: A M Nasir N , Saadon S , R Abu Talib A 
Published: November 2018

Waste heat recovery is recognized as one of the methods to overcome this energy saving issue. In this paper, the Organic Rankine Cycle (ORC) system has been introduced for the waste heat recovery. The main objective of the study is to convert the unused heat into useful power, which could reduce the fuel consumption and also minimize the harmful exhaust transmission. A thermodynamic model of the waste heat recovery cycle is developed and validated. The eventual results depict a reasonable agreement for the ORC power output and its thermal performance, especially at higher turbine inlet pressure. Consequently, this ORC model is then connected to a turbofan engine. The performance analysis of the engine depicts that the lowest Thrust Specific Fuel Consumption (TSFC) is at 0.68 lbm/lbf.h with the thrust force of 7000 lbf, thus lower than the base cycle without ORC as waste heat recovery.Â Â
Lift force for cylindrical and elliptical CoandÄƒ aircraft design
Authors: Faisal Abdul Hamid Mohd , Shakrine Mohd Rafie Azmin , Gires Ezanee , Rahim Abu Talib Abd. 
Published: November 2018

Small aerial vehicles possess advantages in terms of size and accessibility in performing a variety of tasks. Presently, their design and performance is dependent on variations of conventional aerodynamic configurations (fixed- and rotary-wing). A disadvantage for these configurations is the aerodynamic potential between the mainstream airflow and the body surfaces are not fully utilized. To solve this issue, the CoandÄƒ effect is proposed whereby a high-velocity jet is blown tangentially over a curved surface to increase circulation and lift. Prior to the costly approach (experimental and numerical), an analytical formulation (via control volume analysis) to predict the aerodynamic CoandÄƒ lift force of the design concept is developed. This is an extended version of the existing mathematical formulations, capturing viscous flow effects. It is also pertinent for circular and elliptical-shaped designs. The results obtained show that the total lift force is dependent on the jet velocity, outflow angle, dimensions of the jet slot, the projected surface area, and the viscous effect. The approach has demonstrated how this modelling technique is effective in calculating the lift force for cylindrical and elliptical CoandÄƒ aircraft design.Â Â Â
Semi-infinite solid heat transfer limitation
Authors: Ramdhaney Mohd Saiah Helmey , Shakrine Mohd Rafie Azmin , Izzuddin Romli Fairuz , Salahuddin Mohd Harithuddin Ahmad 
Published: November 2018

One-dimensional semi-infinite heat transfer solution is a common solution for transient heat transfer experiments. This solution is valid for a short certain amount of time before the semi-infinite solid became invalid. Crank Nicolson solution has been chosen to address this issue. This paper reports the time limitation for semi-infinite solid solution and justify the usability of Crank Nicolson solution given the same boundary conditions. The flat plate heat transfer experiment has been conducted. With the same boundary conditions, at Fourier number 0.1, the resultant heat transfer coefficient and adiabatic wall temperature have shown a good agreement between the semi-infinite solid solution and the Crank Nicolson solution. Beyond this Fourier number, both solutions have given inaccurate results. The inaccurate results are due to unsuitable boundary conditions. Future work will involve modification of the back face boundary conditions to address the time limitation of the one-dimensional semi-infinite solid heat transfer solution.Â Â
Parametric study of varying ribs orientation and sweep angle of un-tapered wing box model
Authors: Nee Chan Ying , Yazdi Harmin Mohammad , Safuan Othman Mohd 
Published: November 2018

A simple un-tapered wing box model was considered to illustrate an aeroelastic tailoring of varying ribs orientation with respect to a range of sweep angles. This approach allows the bending-torsional modes characteristic to be altered hence offering possibility for improvement in aeroelastic performance without having to compromise its overall weight. Two cases of ribs orientation were considered for a range of sweep angles. The first case was by allowing one individual ribs to be orientated at a time and the second case considering all possible combination of ribs orientation. The finding shows that the torsional modes are greatly influenced by the rib orientation while the bending modes are not significantly affected. Therefore, this enable the frequency gap between the flutter modes to be altered; hence resulting into significant impact to aeroelastic performances. It has been found that for all the considered sweep angles, the varying ribs orientation can lead into an improvement of nearly 80-90% when compared to its corresponding baseline configuration. Therefore, this provides a leverage for an advancement in aeroelastic performance without having to penalize the total weight of the wing structure.Â Â
Review of improvements on heat transfer using nanofluids via corrugated facing step
Authors: Hilo Ali , Rahim Abu Talib Abd , R. Nfawa Sadeq , Thariq Hameed Sultan Mohamed , Faisal Abdul Hamid Mohd 
Published: November 2018

Nanofluids are considered to offer significant advantages as thermodynamic fluids because of their admirable properties on thermal conduction, thermal convection, boiling heat transfer and stability. This paper presents numerous researches focusing on the improvement of heat transfer via facing step and corrugated channels using nanofluids and without it. Exploration on the convective heat transfer was done through numerical modeling. It was reported that experimental studies were carried out in corrugated and facing step channels through the application of nanofluids and conventional fluids for heat transfer enhancement. The turbulent and laminar flows along corrugated and facing step channels have been presented. The numerical and experimental findings in maximizing the heat transfer rate are in accord. Comparisons between thermal conductivity measurement methods were done. Innovative design of corrugated facing step channel is being proposed. The heat transfer enhancements reach 60% by using facing step channel under laminar flow with nanofluid. The dimensions of new channel such as height and width of the baffle, the height of the step, shape and height of corrugated are needed to compare that might to provide the ideal rate of heat transfer.Â Â
Simulation framework for civil tiltrotor mission performance
Authors: Gires Ezanee , . . 
Published: November 2018

A simulation framework for the overall mission performance of a civil tiltrotor system is presented. In this work, a numerical model of a benchmark tiltrotor aircraftâ€™s flight dynamics is paired with a high-fidelity simulation of the turboshaft powerplant. The gas turbine simulation of the baseline engine is shown to have high accuracy with its available performance data from flight and stationary tests. The simulation is further validated by the obtained maximum range and endurance performance based on the XV-15 tiltrotor. The power requirements during the different phases of tiltrotor flight are also modelled including the transition phases between rotary- to fixed-wing. A mission framework is designed to show the estimated fuel burn and emissions. The mission procedures are based on the flight envelope data available in the public domain as well as modern helicopter operations. This work can be used as the baseline for the modelling of conceptual configurations of civil tiltrotors, particularly for variations in powerplant technologies.Â Â
CFD simulation of local exhaust ventilation for aviation fire-test lab
Authors: S H Al-Ammari Aiman , S M Altarazi Yazan , Rahim Abu Talib Abd. , Nadiir Bheekhun M 
Published: November 2018

Excellent indoor air quality in an enclosed area has always become a major safety aspect in designing a building. Issues with regards to circulation of air and exhaust system must be first resolved before the said building can be used for any purposes. The goal of this study is to identify ways to improve air quality in the aviation fire test room at the Propulsion Laboratory that is located in Universiti Putra Malaysia (UPM), Selangor, Malaysia. A computational fluid dynamics (CFD) method was employed to predict the air contaminant inside the lab. When performing the activities, the indoor air quality have to be ensure circulated and ventilated in the lab. Using a mechanical fans and natural ventilation are a traditional method to provide indoor air quality into the propulsion. Whereby, this method may not be enough to provide the required indoor air quality for specific aviation fire-test setup. Such labs may suffer from increasing air contaminant based on the improper and irregular air distribution. A grid independent test (GIT) was done to reduce the effects of meshing on the results was carried out to estimate the discretization error. Computational fluid dynamic (CFD) method was carried out to identify a suitable ventilation system that would result in the greatest improvement in the indoor air quality (IAQ) inside the lab. The results of using the CFD simulation show that installing Local Exhaust Ventilation (LEV) at the lab could significantly improve the IAQ inside the lab. The airflow increase by 84% and the CO, CO2 and NO reduce by 84%, 89 and 81%, respectively. Improvement of the IAQ by increasing the airflow and reducing in the air CO, CO2, and NO, which can be considered as very significant achievement.Â Â Â
Empirical Evaluation of Design Level Metrics for Aspect Oriented Business Process Execution Language in SOA
Authors: S Senthil Velan , M Sam Jaffray 
Published: November 2018

Service Oriented Architecture (SOA) facilitates seamless application integration through standards-based predefined web services. During integration, Business Process Execution Language (BPEL) plays a vital role in composing existing Web Services thereby achieving a service based workflow model. Due to frequently changing business requirements, it becomes very much essential for an SOA application to have the capability to dynamically bind with an alternate service rather than statically fixing the services in a given composition. However, BPEL lacks support for the run-time inclusion of a new Web Service or functionality. Aspects overcome this limitation by providing support to independently encapsulate the cross-cutting functionalities by separating them from the core business logic. Using AOP, it is possible to achieve dynamic binding in web service composition. To illustrate the embedding of AOP constructs into a BPEL process, this paper implements a case study on distributed e-HealthCare system. Further, two core design level properties namely, cohesion and coupling have been measured and the impact of introduction of AO into a composed BPEL process has also been discussed. Empirical evaluation of the design level properties shows that cohesion improves by the introduction of AOP in BPEL.
Study of the Process of Lubricant Application on the Friction Surface Using Aerosol Lubricators
Authors: Voronin Serhii , Hrunyk Ivan , Asadov Bashir , Onopreychuk Dmytro , Stefanov Volodymyr 
Published: November 2018

The problem of calculation and forecasting main parameters of aerosol lubricators designed for applying lubricants on angled to the horizon friction surfaces e.g. the lateral surfaces of a rail and a wheel flange of railway rolling stock is solved in the article. The main parameters of lubricators being considered in the article are compressed air supply, the geometry of a spray nozzle and the boundary thickness of a lubricant layer applied to the friction surface where there is no creep of a lubricant under the action of gravity. A structural model of application and retention of a lubricant on a friction surface has been proposed. A mathematical model to calculate main parameters of aerosol lubricators has been developed. The model establishes the connection between the geometry of lubricated friction surfaces, physico-chemical properties of lubricants and the diameter of nozzle aperture and the compressed air supply. The example of calculation of the boundary thickness of a lubricant layer applied to the friction surface under the condition of the absence of its creeping under the action of gravity has been presented in the article. The article presents the results of experimental studies the process of aerosol application of a lubricant to the friction surface.
A Discrete Wavelet Transform based STATCOM Compensated Transmission Line
Authors: K Mishra S. , N Tripathy L. , C Swain S. 
Published: November 2018

This paper describes the Discrete Wavelet transform (DWT) applied for classification and detection of fault with respect to the position of the Static Synchronous Compensator (STATCOM).Â STATCOM is positioned at mid-point of the transmission line. The reactive power injection or absorption (i.e shifting phase voltage with respect to bus voltage) depends upon the apparent impedance during the fault. The current signals of each phase are retrieved from both sending and receiving end of three phase transmission line synchronously. It starts processing through DWT to acquire spectral energy (SE) content of each phase current signals from both end of the transmission line. Differential spectral energy (DSE) of each phase current signals (i.e SE of current signal recovered from sending end minus SE of current signal recovered at receiving end) of transmission lines is used to record the fault configuration.Â
Effect of Particle Size and its Distribution on Rheological Behaviour of Coal-Water Slurry
Authors: Sahoo Ganeswar , Routray Anupama , Kumari Padhy Mamata , K. Senapati P. 
Published: November 2018

An experimental investigation has been conducted to study the rheological behaviour of coal-water slurry (CWS) of low rank coal. Different samples have been prepared by pulverizing it to powder form.Â Bi-modal and mono-modal samples have been prepared separately. Thereafter slurry was prepared by adding distilled water to the sample. CWS of different coal concentration have been prepared with particle size from 37 Âµm to 250 Âµm. The rheological behaviour of both mono-modal and bi-modal slurry have been investigated with help of HAAKE RHEO STRESS 1, a thermo scientific rheometer. Comparing the rheological behaviour of CWS prepared from bi-modal sample and mono-modal sample, it is observed that CWS from bimodal exhibit lower viscosity and shear stress compare to mono-modal sample. The stability of slurry prepared from bi-modal samples are found to be poor than mono-modal samples. The stability of coal sample below 75Âµm at different concentration has also been investigated. Also the characterization of coal sample has been done. It is observed that as the ratio of coarse particle decreases the shear stress and viscosity also decreases.Â Â
Optimal Features Selection for X-Ray Image Retrieval with Regular and Irregular Zoning Methods
Authors: Nalini P. , B. L. Malleswari Dr 
Published: November 2018

Medical Image Retrieval is mainly meant for enhancing the healthcare system by coordinating physicians and interact with computing machines. This helps the doctors and radiologists in understanding the case and leads to automatic medical image annotation process. The choice of image attributes have crucial role in retrieving similar looking images of various anatomic regions.Â In this paper we presented an empirical analysis of an X-Ray image retrieval system with intensity, statistical features, DFT and DWT transformed coefficients and Eigen values using Singular Valued Decomposition techniques as parameters. We computed these features by dividing the images in five different regular and irregular zones. In our previous work we proved that analyzing the image with local attributes result in better retrieval efficiency and hence in this paper we computed the attributes by dividing the image into 64 regular and irregular zones. This experimentation carried out on IRMA 2008 and IRMA 2009 X-Ray image data sets. In this work we come up with some conclusions like wavelet based textural attributes, intensity features and Eigen values extracted from different regular zones worked well in retrieving the images over the features computed over irregular zones. We also determined like the set of image features in which form of zoning for different anatomical regionsÂ result in excellent retrieval ofÂ similar looking X-Ray images.
Developments for Diabetic Retinopathy Detection and Classification: A Review
Authors: M. Pawar Pooja , J. Agrawal Avinash 
Published: November 2018

Diabetes is characterized by impaired metabolism of glucose caused by insulin deficiency. Diabetic retinopathy is the eye disease, is caused by retinal damage which is generally formed as a result of diabetes mellitus. It is a serious vascular disorder for which early detection and the treatment are required to inhibit the intense vision loss. Also, the diagnosis entails skilled professionals for detection because non-automatic screening methods are very time consuming and are not that efficient for a large number of retinal images. This paper provides a broad review of various techniques and methodologies used by the authors for diabetic retinopathy detection and classification. Furthermore, most recent work and developments are studied in this paper. We are proposing an advanced deep learning CNN approach for automatic diagnosis of DR from color fundus images.Â Â
Deep Learning Approaches for Protein Structure Prediction
Authors: Chandni Khatri , Mrudang Pandya Prof. , Sunil Jardosh Dr. 
Published: November 2018

In recent years, Machine Learning techniques that are based on Deep Learning networks that show a great promise in researchÂ Â Â Â Â Â Â Â Â communities.Successful methods for deep learning involve Artificial Neural Networks and Machine Learning. Deep Learning solves severaÂ problems in bioinformatics. Protein Structure Prediction is one of the most important fields that can be solving using Deep Learning Â approaches.These protein are categorized on basis of occurrence of amino acid patterns occur to extract the feature. In these paper aimed to review work based on protein structure prediction solve using Deep Learning Networks. Objective is to review motivate and facilitatethese deep learn the network for predicting protein sequences using Deep Learning.Â
A Tool for Suggesting Ayurvedic Remedies from Curated and Classified Clinical Trial Reports
Authors: Raj Sariga , P Priya 
Published: November 2018

It requires great effort to search through huge number of published articles that provide information we need. Therefore it is necessary to find a solution that helps researchers in gaining accurate and deep understanding about diseases. Thus drug discovery and drug repurposing are gaining significance with the current onics tools. Traditional Medical practices like Ayurveda needs to be more visible to practitioners with evidence based approach. The clinical trials conducted have to be shared with the world for attaining the very philosophy of Ayurveda.. This paper presents a survey on various text mining technologies developed to classify theories and literature pertaining to the clinical observations of practitioners and suggests a possible solution to match a patientâ€™s symptoms.Â Â
A Machine Learning Approach to Extract Opinions from Social Media Content
Authors: Adinarayana Salina , Ilavarasan E 
Published: November 2018

The Opinion Mining (OM) from mobile based social media content (SMC) is more challenging compared to topic-based mining, and it cannot be performed based on just examining the presence of single words in the text containing opinion expressions. Moreover, the existing systems of opinion classification find that a large number of features that are not feasible for the mobile environment. The existing methods of OM in this mobile environment do not consider the semantic orientation of the SMC in the review. The proposed machine learning approach extends the feature-based classification approach to identify the orientation of the phrase on taking context into account to improve the accuracy.
Reconfigurable Smart Antenna for Wireless Communication Devices
Authors: Pratap Singh Sengar Anand , Dahiya Aman 
Published: November 2018

In this paper a frequency reconfigurable antenna is proposed. The antenna uses electrical switching by means of PIN diodes to achieve reconfigurable properties. PIN diodes are located such that to increase the total effective surface area and simultaneously the surface current. Three slots are cut from antenna to alter the surface current and improve the resonant frequency of the antenna. The location of the PIN diodes is based on optimization in the response. Diode 1 is placed to excite another patch when it will be in ON state whereas diode 2 is used to make an interconnect. Antenna resonates at 0.915 GHz, 1.575 GHz and 2.4GHz depending on whether it is in ON or OFF state. Applications of the antenna include GSM900 (0.8GHz-0.955 GHz), GPS (1.575 GHz), WLAN (2-2.4GHz).