bluuebunny/crossref_metadata_2025_split huggingface dataset:
Profiling of Myocardial Infarction History from Electrocardiogram using Artificial Neural Network
Authors: Hanis Hussin Amerah , Syukri Abdul Aziz Ahmad , Syahirul Amin Megat Ali Megat 
Published: November 2018

Myocardial infarction is an irreversible damage of heart muscle caused by prolonged oxygen deficiency. As a result, the presence of damaged tissue will alter the normal sinus rhythm. Hence, the paper proposes to profile history of myocardial infarction from electrocardiogram using artificial neural network. Data for anterior and inferior myocardial infarction, as well as healthy control is acquired from PTB Diagnostic ECG Database. Subsequently, QRS power ratio features for different frequency zones are extracted from the pre-processed electrocardiogram. Discriminative ability of the features is assessed using k-nearest neighbor. The best combination of features with 99.7% testing accuracy is the power ratio composite that combines both low-frequency and mid-frequency information. An intelligent profiling model is successfully developed using the composite features and an optimized artificial neural network. The model was able to identify between different electrocardiogram groups with overall accuracy of 98.4% and mean squared error of less than 0.1. Conclusively, the proposed signal processing approach has provided an improved alternative to the established methods from literature.Â Â
A Software Agent Based Technique for Load Balancing in Partitioned Cloud
Authors: Kaur Mandeep , Rajni Mohana Dr. 
Published: November 2018

Large number of users are shifting to the cloud system for their different kind of needs. Hence the number of applications on public cloud is increasing day by day. Public clouds considered and is the most convenient platform for common cloud users with generic needs and lesser security concerns. Public cloud can cater to the needs of a large group of users and provide a variety of services. Lower cost and timely availability are the other advantages one expects from public clouds. These features make it very much convenient and attractive choice. But on the other hand, handling public cloud become unmanageable in comparison to other counterparts. Monitoring so many users, tasks and resources are difficult task. Sometimes public clouds are divided on geographically. Geographic partitioning of public cloud can resolve these issues by adding manageability and efficiency in this situation. But, partitioned clouds introduce different ends for submission and operations of cloudlets and virtual machines. This ends for task submission and resource allocation adds complexities also. A concrete mechanism is to be designed for handling the load allocation and processing of the nodes. The proposed work is addressing the same issue by advising a combination of centralized and decentralized load balancing. The main objective of this work is to fix a VM for a cloudlet, which can process it in minimum time and without overloading or underloading the datacenters. Another objective under consideration is to reduce the number of jobs left unhandled due to threshold constraints.
Optimizing the Medicine Procurement Process
Authors: Mani Vijaya , Haridasan Vani 
Published: November 2018

Purpose: The major focus of the research was to improve and suggest cost effective medicines to the hospital by identifying, documenting and analyzing the various issues in drug utilization pattern. It also aimed to optimize the rational use of medicines in the selected Hospital in Tamil Nadu.Approach: The Inventory Management techniques like ABC and VEN analysis were done on 414 medicines by utilizing the annual consumption and expenditure data extracted from the Hospital records.Results: The research could identify the medicines (A category- ABC) which require stringent management managerial control and also identified the vital drugs (VEN)which should be made available at all times in the hospital in order to improve the hospital efficiency.
Lane keeping performances subjected to whole-body vibrations
Authors: Azizan Amzar , Padil Husna 
Published: November 2018

Despite the fact that many research have been carried out on the characterization of the effects of whole-body vibration on seated occupantsâ€™ comfort, there is still very little scientific knowledge regarding drowsiness caused by the vibrations. Furthermore, there are less verified measurement methods available to quantify the whole body vibration-induced drowsiness of the vehicle occupants. This study is therefore set out to evaluate the effect of vibrations on drowsiness. 20 male volunteers have been recruited for this experiment. The data for this study is gathered from 10-minute simulated driving sessions under both no-vibration conditions and with a vibration that is randomly organized. Gaussian random vibration, with 1-15 Hz frequency bandwidth at 0.2 ms-2 r.m.s. for 30 minutes, is applied. During the driving session, the volunteers are required to obey the speed limit of a 100 kph and keep a consistent position in the left-hand lane. The deviation in the lateral position are recorded and analyzed. Additionally, the volunteers are also asked to rate their subjective drowsiness level by means of Karolinska Sleepiness Scale (KSS) scores for every five minutes. Based on the results, the role of vibration in promoting drowsiness can be observed from the driving impairment following 30-mins exposure to vibration.Â Â
Wing-in-ground-effect craft: A case study in aerodynamics
Authors: Wiriadidjaja Surjatin , Zhahir Amzari , Hilall Mohamad Zahratu , Razali Shikin , Afifi Puaat Ahmad , Tarmizi Ahmad Mohamed 
Published: November 2018

A wing-in-ground-effect (WIGE) crafts can be deployed to fly by utilizing the ground effect, which is a natural phenomenon known to improve the efficiency of airplanes during take-off and landing approaches. In contrast, WIGE craft is not commercially viable for public transport mainly due to the difficulties in controlling its longitudinal stability. As an attempt to support the development of WIGE crafts, this paper presents a case study in aerodynamics based on certain published reports, specifically to reveal the available research data that are considered of interest and can be used as a lesson for further study and analysis. The wind tunnel procedure and testing, as well as numerical investigation of a WIGE craft, are applied and the results are then analyzed. The discussions are oriented in the perspectives of aerodynamics. Based on the tests and calculation, parameters concerning the ground effect as the WIGE crafts approaching the ground surfaces may be identified and hence their values can be determined. Thus, the static longitudinal stability may then be established and optimized for control of the WIGE craft.Â Â
Aircraft pitch control tracking with sliding mode control
Authors: M. Rouyan Nurhana , Varatharajoo Renuganth , Eshghi Samira , Junita Abdullah Ermira , Suzuki Shinji 
Published: November 2018

Sliding mode control (SMC) is one of the robust and nonlinear control methods. An aircraft flying at high angles of attack is considered nonlinear due to flow separations, which cause aerodynamic characteristics in the region to be nonlinear. This paper presents the comparative assessment for the flight control based on linear SMC and integral SMC implemented on the nonlinear longitudinal model of a fighter aircraft. The controller objective is to track the pitch angle and the pitch rate throughout the high angles of attack envelope. Numerical treatments are carried out on selected conditions and the controller performances are studied based on their transient responses. Obtained results show that both SMCs are applicable for high angles of attack.Â Â
Lift distribution of washout twist morphing MAV wing
Authors: I. Ismail N. , Yusoff H. , Sharudin Hazim , Pahmi Arif , Hafi H. , M.M Mahadzir 
Published: November 2018

Micro Air Vehicle, or also commonly known as MAV, is a miniature aircraft that has been gaining interest in the industry. MAV is defined as a flying platform with 15cm wingspan and operates at a speed of around 10m/s. Recently, MAV has been exposed with the latest development and link towards the biologically-inspired designs such as morphing wing. Twist morphing wing is one of the latest MAV wing design developments. The application of Twist Morphing (TM) on MAV wing has been previously known to produce better aerodynamic performance. Previous study in washin TM wing has shown a promising possibility of generating higher lift force. Despite the benevolent performance exhibited by the washin TM wing, the lift distribution for the washout type of TM MAV is relatively unknown and still open to be explored. This is probably due to the lack of experimental test rig to produce the washout twist morphing motion on the MAV wing. Therefore, this research aims to produce a special test rig for washout TM wing that is compatible for wind tunnel experimental testing. By using the special test rig, the experimental investigation on the lift performance of washout TM MAV wing can be done. Based on the wing deformation results, it clearly shows that the proposed test rig is capable to produce up to 19.5mm tip deflection at the morphing point, which is also resulting in a significant morphing motion. Higher morphing force induces larger morphing motion. Based on the lift distribution results, they show that the morphing motion has significantly affected the overall lift distribution on the MAV wing. The morphing motion on TM wing has produced at least 17.6% and 5.33% lower CL and CLmax magnitude, respectively, with the membrane wing especially at the pre-stall region. However, the TM wing is still able to maintain the stall angle similar to the baseline wing at Î±stall= 31Â°. By maintaining high Î±stall value with lower CL and CLmax magnitude, TM wing produces more agility for the MAV maneuverability that will be useful for indoor mission or obstacle avoidance flight.Â Â
Trajectory tracking of quaternion based quadrotor using model predictive control
Authors: Islam M , Okasha M , M Idres M , Mansor H 
Published: November 2018

The aim of this paper is to introduce the trajectory tracking with a quaternion based quadrotor operation using model predictive control (MPC). Since the efficacy of MPC on a system under noise and disturbance has been distinguished, it is a fair and successful attempt to apply MPC on the quaternion based quadrotor, which is a quite well-known system with uncertainties during operation. Quaternion approaches singularity-free orientation that is advantageous to design any trajectory for quadrotor wherein roll or pitch angle reaches at 90o. As a quaternion, with its four-tuple characteristics that incorporate vector elements, is different from Euler-angle orientation, a new cost function has been developed for the respective MPC controller. In order to achieve singularity-free orientations and abate the model infidelity of the system, the quaternion and MPC algorithm have been incorporated for quadrotor flight. Simulation based results elucidate the success of trajectory tracking of quaternion based dynamics of quadrotor using MPC approach.Â Â
A review of techniques for embedding shape memory alloy (SMA) wires in smart woven composites
Authors: Mahmood Baitab Danish , Laila Abang Haji Abdul Majid Dayang , Junita Abdullah Ermira , Faisal Abdul Hamid Mohd 
Published: November 2018

Metallic structures, in various industrial fields such as transport and aerospace, are mostly replaced by composite structures having less weight and good strength. There is also a need of intensification of the operational dynamic environment with high durability requirements. So a smart composite structure is required that can manifest its functions according to environmental changes. One method of producing smart composite structures is to embed shape memory alloys in composite structures. Shape memory alloys (SMAs) have significant mechanical and thermodynamic properties and are available in very small diameters less than 0.2mm. These SMAs are embedded into composites for obtaining smart composites having tunable properties, active abilities, damping capacity and self-healing properties. Shape memory alloys are available in different shapes as wires, sheets, foils, strips, etc. For smart composites, mostly SMA embedded are in wire shape. Different techniques are used for embedding SMA wires in composites. SMA wires can be embedded between layers of laminates of composites, or embedded directly as reinforcement in matrix and can be woven into fabrics and used as a reinforcement. This paper reviews the different techniques of embedding SMA wires in composite structures, their pros and cons and their applications.Â Â
Cloud hosting services and resources utilizing efficient proxy server based speculative algorithm
Authors: Mahadevan Ravi , Anbazhagan Neelamegam 
Published: November 2018

Cloud computing is an envisioned technique for service providing paradigm. Currently, many enterprises and organizations are hosting data into cloud service provider to minimize the maintenance cost, energy consumption and improve the data consistency. However, the several cloud servers facing the various hosting service policies, clients may be confused with which cloud server providers are appropriate for storing data and which hosting methodology is inexpensive. The current status quo is clients frequently put data into the single cloud and simply trust to luck. In the paper, proposes a new data hosting redundancy methodology called as Efficient Proxy Server Based Speculative (EPSBS) algorithm that provides accessibility guarantee, reducing hosting service, energy consumption and enhances Quality of Services (QoS) performance concurrently and it requires integrating two key functions. The first function is choosing numerous appropriate cloud service providers and a suitable EPSBS redundancy methodology to store data with guaranteed accessibility. The second key function is triggering a transmission process to reallocate data along with the deviations of data access prototype of clouds. Based on Experimental evaluations, proposed methodology reduces 0.11 ET (Execution Time), and 0.02 EC (Energy Consumption) and improves 29% HS (Hosting Service size), 2.8 T (Throughput) compared than existing methodologies.
Flexural Behavior of Rolled Steel I Beam with Different Stiffener Position
Authors: G Prabha. , R Emilreyan 
Published: November 2018

Economy, ease and speed of construction are the main factors for using steel as a building material. In this paper conventional hot rolled steel I-beam sections are considered as the main flexural member of industrial buildings. The main goal is to increase the load carrying capacity of the beam with inverted w shape stiffener condition at centre. The initiative was to identify the maximum load behaviour and deflection of steel beams with stiffener in the web. The performance of such beams has been considered only for vertical loads. Hot rolled steel beam of ISMB 100 with stiffener were tested to failure experimentally. The beams were simply supported at the ends and subjected to a 2 equal concentrated load applied at one third of span from both ends. The deflection at centre of beam and various failure patterns are studied. All the beams were analyzed by the finite element method by using general finite element analysis software ANSYS and the results were compared with those obtained experimentally. The finite element results for deformation and ultimate strength shows good agreement with the corresponding values observed in the experiments. At last, a comparative study was carried out using finite element method to examine that which type of beam gives best performance during loading. The numerical results indicate that the use of hot rolled I section with stiffener is an economical and advantageous choice.
DMAIC Approach for Road Wellbeing: A Case Study
Authors: Ravi Shankar Raman Mr. , Himanshu Chauhan Mr. , Ankit Negi3 Mr. 
Published: November 2018

The objective of this paper is to implement the DMAIC methodology for finding out the reason for the traffic jam in the NH-24 connecting Delhi, Ghaziabad and Noida and finding out the solution for reducing them. For this survey, we have collected the data of a fixed route for 14 days and implemented various statistical methods for analyzing it. The study, focused on various junctions because these are the points, which are more prone to congestion. It aimed at finding out the critical junction and suggest improvement in them. As the number of vehicles is on the rise, it is the need of the hour to solve this problem
Stress Analysis of Domestic Composite LPG Cylinder Using Classical Lamination Theory (CLT)
Authors: V K N S N Moorthy CH , Srinivas V 
Published: November 2018

Conventional Steel Cylinders used for LPG cylinder for domestic applications are not manufactured in a single joint but are welded. While composite cylinders are manufactured in a single joint, Composite components cannot be welded like the steel cylinder. Composite Cylinders are winded using Filament Winding technique. Compared to Steel Cylinders, Composite Cylinders are costlier. As composite cylinders are safer than steel cylinder, composite Cylinders due to a rubber lining inside, they are 100% leak proof. If mass production of composite cylinders are done then the cost may get reduced. This paper summarizes the design and analysis of the manufacturing of Liquid petroleum gas (LPG) Cylinder using Glass Fibre Reinforced Plastic (GFRP) material. The stresses along all the directions of the ply sequence are also calculated using Classical Lamination Theory (CLT).Â The fibre stresses along all the directional angles were found to be under the required stress limits. The Metallic boss Calculation & angle variation at dome is the key parameter and is carried out and determined the tip radius.Â Â
The Significance of Vedic Science for Artificially Intelligent Systems
Authors: . Anshuman , Kumar Upendra 
Published: November 2018

The significance of Vedic Sciences is well proven. Vedic concepts are suitable as well as necessary for an efficient lead in the field of Artificial Intelligence (AI). The concept is very crisp: To lace the man-made machines with the ideology described in the Vedic scriptures, to build a better and smarter society. Well proven concepts to build better machines.Â Â
Distributed Community Detection based on Apache Spark using Multi Label Propagation for Digital Social Networks
Authors: Keerthi Gorripati Satya , Kumari Valli 
Published: November 2018

Organization, Government and Individual (OGI) have popularized the use of Digital Social Networks (DSN) that reduces the processing time of social-aware tasks. To accomplish a community-based communication, each social-aware task should identify its community group. The identified group uses a task to avail all the DSN benefits to their customers / citizens. As a result, the community-based detection algorithm has played a significant role in literature. However, the existing algorithms have had several challenging issues, such as performance and scalability. Thus, a distributed community detection algorithm is presented using Apache Sparkâ€™s Resilient Distributed Data Set (RDD) framework based on the Scala programming language. The Apache Spark framework provides an ideal solution that offers ease of coding, performance, interactive mode and disk Input-Output bottlenecks in Hadoop /Map Reduce. Besides, it presents a platform of distributed community detection that reduces the computational computation by applying transformations, aggregations and joins. The experimental results show that the proposed framework achieves high accuracy for both real-world and synthetic networks.Â Â
Comparative Microstructural Study on Mechanical Properties of Concrete Enhanced with Graphite and Graphene Compound
Authors: Sudheer P. , S. Chandramouli Dr 
Published: November 2018

The present study is based on nano technology and came up with the idea of introducing nanoparticles in the raw materials used for construction. Nano materials are available in three principal shapes 0, 1 and 2 Dimensional nanoparticles. 0D and 1D nanofibers are such as carbon nanotubes and nanosilica compounds. This study has investigated the physical and chemical properties of graphite and graphene compound and its applicability in construction industry.Â Graphene has created interest as it is believed to improve the strength of concrete allowing the possibility of controlling properties of concrete. In this work graphene is used as a reinforcing additive in cement-based mortar and concrete. Own Graphene compound is prepared using conventional graphite and concentrated hydrogen peroxide in the laboratory due to the unavailability of graphene. As a part of microstructural investigation, SEM and EDS analysis on graphite and graphene compounds before and after implementation are carried out in the laboratory. Then the two compounds are replaced as a part of small percentage in cement mortar cubes casted for various proportions. The mechanical properties of cement-based composites are studied after incorporating of graphite and graphene compounds at low dosages in concrete and then the results are compared.Â
Speaker Recognition System for Home Security using Raspberry Pi and Python
Authors: Bageshree Pathak Dr , Kulkarni Shriyanti 
Published: November 2018

The transfer of manual controls to machine controls is automation. Automation is the need of the hour. Home automation is automation of home systems to create smart homes. It includes security systems, appliance control and environment control. The increasing need for safety and security has brought biometric security systems to the forefront. Speech being unique and individualistic can be used for biometric identification. The proposed system is a prototype which can be fitted for speaker recognition for home security. The system will identify the registered speakers and will allow access to the recognized speaker. The system is implemented on Raspberry pi platform using Python language.Â Â
Hierarchical Porous Batio3 Nano-Hexagons as A Visible Light Photocatalyst
Authors: Bantawal Harsha , Krishna Bhat D 
Published: November 2018

Hierarchical porous BaTiO3 nano-hexagons was synthesized via a simple hydrothermal route by using TiO2 and Ba(OH)2.8H2O as starting materials under alkaline environment and its photocatalytic activity was evaluated under visible light by taking methylene blue (MB) as a model pollutant. The prepared BaTiO3 was characterized by powder X-ray diffraction (XRD), X-ray photoelectron spectroscopy (XPS), field emission scanning electron microscopy (FESEM), energy dispersive X-rays analysis (EDX), high resolution transmission electron microscopy (HRTEM), Brunauer-Emmett-Teller (BET) analysis and diffused reflectance spectroscopy (DRS) techniques. It is noteworthy that the BaTiO3 nano-hexagons exhibited significant photocatalytic activity towards the degradation of MB under visible light irradiation. This significant photocatalytic activity of BaTiO3 under visible light is mainly attributed to the special morphology and formation of Ti3+ defects.Â Â
A Review on Shunt Active Power Filter Control Strategies
Authors: Singh Harnek , Kour Maneet , Vinod Thanki Dip , Kumar Prakash 
Published: November 2018

Shunt active power filter (SAPF) has now become a well-known sophisticated technology to overcome current harmonics and reactive power compensation issues. In this paper a technical review of various control strategies for operation of SAPF has been presented. Control strategies such as reference current generation by time domain, frequency domain and soft computing approaches; voltage control for dc link voltage regulation and current control for generating switching patterns for voltage source inverter has been discussed. This paper aims to provide a broad understanding on SAPFs for various research and engineering applications.Â Â