bluuebunny/crossref_metadata_2025_split huggingface dataset:
Generation of an Indoor 2D Map and Track Encryption Based on Mobile Crowdsourcing
Authors: Cao Tianyang 
Published: November 2018

The widespread application of mobile crowdsourcing modes provides new ideas for generating indoor maps. By collecting and analyzing the trajectory datas of users properly, we can obtain the location information of indoor paths. Unfortunately, currently studies usually rely heavily on a satellite location, which restricts their indoor application. In this paper, a simple and practical method of generating indoor maps on Andriod platform is presented, and this method is able to correct deviation duly. User's datas collected by several bulit-in sensors are preprocessed utilizing Gaussian filter, after which we adopt feature recognition to confirming one's walking track based on multiple experiment datas. In order to integrate tracks generated by different persons, we then propose a new data structure based on a transition probability that can be updated online to store track information. In addition, we minimize possible deviations by testing the signal power launched by four Bluetooth base stations. Discrete tracks are finally integrated into a complete indoor map using a graph_based model. We then propose a novel encryption scheme exploiting chaos in a nonlinear digital filter, where secure key generation methods are discussed in detail. The secure key scheme includes: 1)channel measurement 2)a decorrelation transform 3)multibit adaptive quantization and encoding. Experiments are conducted in rectangle fields of 8m*8m, 44m*44m, respectively, and the results show our method can attain a maximum error of 5.94%.
Maximizing Energy Efficiency in Downlink Massive MIMO Systems by Full-complexity Reduced Zero-forcing Beamforming
Authors: Salh Adeeb , Audah Lukman , S. M. Shah Nor. , A. Hamzah Shipun. 
Published: November 2018

Energy efficiency (EE) is one of the key design goals for fifth-generation (5G) cellular networks due to the intermittent properties of renewable energy sources and limited battery capacity. In this paper, we analyze the EE of downlink (DL) massive multi-user multiple-input multiple-output (MIMO) system based on circuit power consumption for the transmit antenna configuration. We designed full complexity reduced zero-forcing (ZF) beamforming to cancel out interbeam interference when the number of antennas and minimized the power consumption model, when formulating the power allocation optimization problem with the Lagrange duality method, in order to maximize EE. Simulation results revealed that the EE in the base station (BS) could be improved when the number of radio frequency (RF) chains was proportional to the optimal transmit power allocation and when the consumption circuit power was comparable to the transmit power.
Accurate Objects Detection Using Stereo Vision Sensor for Machine Vision Applications
Authors: Hamzah RA. , Wei MGY. , Nik Anwar NS. , Kadmin AF. , Abd Gani SF. , Hamid MS 
Published: November 2018

This paper presents a new algorithm for object detection using a stereo camera system, which is applicable for machine vision applications. The propose algorithm has four stages which the first stage is matching cost computation. This step acquires the preliminary result using a pixel based differences method. Then, the second stage known as aggregation step uses a guided filter with fixed window support size. This filter is efficiently reduce the noise and increase the edge properties. After that, the optimization stage uses winner-takes-all (WTA) approach which selects the smallest matching differences value and normalized it to the disparity level. The last stage in the framework uses a bilateral filter, which is effectively further reduce the remaining noise on the disparity map. This map is two-dimensional mapping of the final result which contains information of object detection and locations. Based on the standard benchmarking stereo dataset, the proposed work produces good results and performs much better compared with some recently published methods.Â Â
A Review of Simulation Urban Growth Model
Authors: Nugroho Feri , Ismael Al-Sanjary Omar , . . 
Published: November 2018

Urban development has become a problem in many cities, especially in developing countries. The availability of areas for development is needed to deal with rapid population growth and urbanization. The purpose of this study was to identify urban growth models. Due to urban growth planning, the city will be more manageable and organized. From the conclusions of urban modeling identification can provide an idea of what model is appropriate for use in urban growth studies. The results of this urban growth model identification could be a reference in urban growth modeling in better urban planning.Â Â
A Practical Plant Diagnosis System for Field Leaf Images and Feature Visualization
Authors: E. Fujita E. , Uga H. , Kagiwada S. , Iyatomi H. 
Published: November 2018

An accurate, fast and low-cost automated plant diagnosis system has been called for. While several studies utilizing machine learning techniques have been conducted, significant issues remain in most cases where the dataset is not composed of field images and often includes a substantial number of inappropriate labels. In this paper, we propose a practical automated plant diagnosis system. We first build a highly reliable dataset by cultivating plants in a strictly controlled setting. We then develop a robust classifier capable of analyzing a wide variety of field images. We use a total of 9,000 original cucumber field leaf images to identify seven typical viral diseases, Downy mildew and healthy plants including initial symptoms. We also visualize the key regions of diagnostic evidence. Our system attains 93.6% average accuracy, and we confirm that our system captures important features for the diagnosis of Downy mildew.
Fully Convolutional Neural Network for Malaysian Road Lane Detection
Authors: J. Zakaria N. , Zamzuri H. , H. Ariff M. , I. Shapiai M. , A. Saruchi S. , Hassan N. 
Published: November 2018

Recently, a deep learning, Fully Convolutional Neural Network (FCN) has been widely studied because it can demonstrate promising results in the application of detection of objects in an image or video. Hence, the FCN approach has been proposed as one of the solution methods in mitigating the issues pertinent to Malaysiaâ€™s road lane detection. Previously, FCN model for lane detection has not been tested in Malaysian road conditions. Therefore, this study investigates the further performance of this model in the Malaysia. The network model is trained and validated using the datasets obtained from Machine Learning NanoDegree. In addition, the real-time data collection has been conducted to collect the data sets for the testing at the highway and urban areas in Malaysia. Then, the collected data is used to test the performance of the FCN network in detecting the lane markings on Malaysia road. The results demonstrated that the FCN method is achieving 99% of the training and validation accuracy.Â Â
Blockchain in Voting System Application
Authors: Sakinah Burhanuddin Nur , Hafizhelmi Kamaru Zaman Fadhlan , Ihsan Mohd Yassin Ahmad , Md Tahir Nooritawati 
Published: November 2018

Two of the most familiar method of voting is through voting polls and online voting. The main problem with conventional method is the insecurity of the votes to be untemper. Another problem of voting methods is the existence of fraud in voting system. This paper is to propose a method in overcoming these flaws and problems by using the Blockchain technology. Blockchain technology is a secured database and has very high security. The technical concept of the Blockchain technology has many advantages and benefits that could be applied to many technical sectors and have the possibility in changing the world. The concept for this project is to develop a cryptocurrency implementation in the voting system. From there, the transaction votes are kept in the blockchain could be illustrated by examining the block hashes. The outcome of the project shows a transaction of coins from one voterâ€™s wallet into two candidatesâ€™ wallet. The transactions were approved through a process of mining and the transactions of coins were a success. The data of the transactions were kept in the blockchain where unique blockhash, which acted as the blockâ€™s fingerprint were generated. From there, the integrity of the blockchain technology is illustrated.Â Â
3D Indoor Mapping System Using 2D LiDAR Sensor for Drones
Authors: R. Shahrin M. , H. Hashim F. , M.D.W. Zaki W. , Hussain A. , T. Raj T. 
Published: November 2018

Most 3D scanners are heavy, bulky and costly. These are the major factors that make them irrelevant to be attached to a drone for autonomous navigation. With modern technologies, it is possible to design a simple 3D scanner for autonomous navigation. The objective of this study is to design a cost effective 3D indoor mapping system using a 2D light detection and ranging (LiDAR) sensor for a drone. This simple 3D scanner is realised using a LiDAR sensor together with two servo motors to create the azimuth and elevation axes. An Arduino Uno is used as the interface between the scanner and computer for the real-time communication via serial port. In addition, an open source Point-Cloud Tool software is used to test and view the 3D scanner data. To study the accuracy and efficiency of the system, the LiDAR sensor data from the scanner is obtained in real-time in point-cloud form. The experimental results proved that the proposed system can perform the 2D and 3D scans with tolerable performance.Â Â
Classification of Oil Palm Fresh Fruit Bunches (FFB) Using Raman Spectroscopy
Authors: A.M. Dan S. , H. Hashim F. , Raj T. , B. Huddin A. , Hussain A. 
Published: November 2018

The current practice in determining oil palm fresh fruit bunches (FFB) ripeness is by its colour which could be inaccurate. This study investigates the classification of oil palm FFB ripeness using Raman spectroscopy. A feature extraction model is developed based on the different organic compositions that contribute to the ripeness classification. Samples are collected according to the Malaysian Palm Oil Board (MPOB) standards which are unripe, underripe, ripe, overripe, and rotten. Different characteristics of the Raman shift were detected which represent the material composition for each sample. The Raman intensity of the oil palm fruit increases from unripe to ripe before decreasing to rotten due to the carotenoid content in the fruit. In conclusion, Raman spectroscopy is a suitable technique to observe the changes in the composition of oil palm fruit classified by its ripeness.Â Â
Comparison of horizontal axis wind turbine (HAWT) and vertical axis wind turbine (VAWT)
Authors: Khudri Johari Muhd , Azim A Jalil Muhammad , Faizal Mohd Shariff Mohammad 
Published: November 2018

As the demand for green technology is rising rapidly worldwide, it is important that Malaysian researchers take advantage of Malaysiaâ€™s windy climates and areas to initiate more power generation projects using wind. The main objectives of this study are to build a functional wind turbine and to compare the performance of two types of design for wind turbine under different speeds and behaviours of the wind. A three-blade horizontal axis wind turbine (HAWT) and a Darrieus-type vertical axis wind turbine (VAWT) have been designed with CATIA software and constructed using a 3D-printing method. Both wind turbines have undergone series of tests before the voltage and current output from the wind turbines are collected. The result of the test is used to compare the performance of both wind turbines that will imply which design has the best efficiency and performance for Malaysiaâ€™s tropical climate. While HAWT can generate higher voltage (up to 8.99 V at one point), it decreases back to 0 V when the wind angle changes. VAWT, however, can generate lower voltage (1.4 V) but changes in the wind angle does not affect its voltage output at all. The analysis has proven that VAWT is significantly more efficient to be built and utilized for Malaysiaâ€™s tropical and windy climates. This is also an initiative project to gauge the possibility of building wind turbines, which could be built on the extensive and windy areas surrounding Malaysian airports.Â Â
Gain scheduled integral linear quadratic control for quadcopter
Authors: Shah J , Okasha M , Faris W 
Published: November 2018

The findings of this paper are focused on the dynamics and control of a quadcopter using a modified version of a Linear Quadratic Regulator (LQR) control approach. The classical LQR control approach is extended to include an integral term to improve the quad copter tracking performance. The mathematical model is derived using the Newton-Euler method for the nonlinear six DOF model that includes the aerodynamics and detailed gyroscopic moments as a part of the system identification process. The linearized model is obtained and it is characterized by the heading angle (yaw angle) of the quadcopter. The adopted control approach is utilizing the LQR method to track several trajectories i.e. helical and lissajous curve with significant variation in the yaw angle. The integral term is introduced to the controller in order to minimize the steady state errors observed. The controller is modified to overcome difficulties related to the continuous changes in the operation points and to eliminate the chattering that was observed in the control technique. Numerical non-linear simulations are performed using MATLAB & Simulink to illustrate to accuracy and effectiveness of the proposed controller.Â Â Â
Preliminary investigation on experimental modal analysis of high aspect ratio rectangular wing model
Authors: A. Rosly N. , Y. Harmin M. , L. A. A. Majid D. 
Published: November 2018

Procedure of conducting an experimental modal analysis (EMA) of roving hammer test for high aspect ratio (HAR) wing containing geometric nonlinearities is presented along with consideration of various tip store sizes. Two sets of test setups of vertical and horizontal arrangements have been considered, which respectively demonstrates the undeformed and deformed cases. Modal properties in terms of natural frequency and mode shape were experimentally measured using the LMS Test.Lab package and the results were then compared between the undeformed and its corresponding deformed configuration. From the finding, it confirms that the chordwise and torsional modes of the undeformed configurations has respectively turned into chordwise-torsion and torsion-chordwise modes as they are in deformed configuration. Meanwhile, the impact related to bending modes is insignificant. Hence, this may result in inaccurate prediction if conventional aeroelastic solution is employed for HAR wing configuration.Â Â
Chemical, thermal and economic aspects for the energy balance of coal gasification power plants with and without CO2 recovery
Authors: M. A. Ibrahim Said , E.M Samy Mostafa 
Published: November 2018

This paper presents a methodology for studying the chemical, thermal processes and economics for the gasification systems employed in coal fired power stations through thermodynamic analyses based on thermodynamic laws in order to gain some new aspects of the plant performance. A resourceful computer program is developed and designed to calculate all necessary design and performance data for four selected coal fired power plants for all coal ranks. Detailed manual calculations were performed for the results. Comparison of computer and manual results are in excellent agreement which indicates that the present program is an accurate quick powerful tool for all users. The main findings of this paper are that Integrated Coal Gasification Combined Power Generation Plants with CO2 recovery increase the plant's thermal efficiency and decrease the CO2 emission. The thermodynamics, hydrodynamics, and kinetics of each reaction to the gas combinations were most likely tested by each of the techniques when using a variety of fuels under the condition of "Oxygen gas at 30 bar pressure". The economic analysis is based on analyzing the economics of carbon dioxide capture and storage and the amount of carbon dioxide emitted from power plants. Finally, with new developments, the capture and sequestration of CO2 could lead to.
An Improved Page Replacement Algorithm Using Block Retrieval of Pages
Authors: Prasad Arya Govind , Prasad Devendra , Singh Rana Sandeep 
Published: November 2018

The computer programmer write programming codes of any length without keeping in mind the available primary memory. This is possible if we use the concept of virtual memory. As the name suggests, virtual memory is a concept of executing a programming code of any size even having a primary memory of smaller size than the size of program to be executed. The virtual memory can be implemented using the concept of paging. The operating system allocates a number of memory frames to each program while loading into the memory. The programming code is equally divided into pages of same size as frame size. The size of pages and memory frames are retained equal for the better utilization of the memory. During the execution of program, every process is allocated limited number of memory frames; hence there is a need of page replacements. To overcome this limitation, a number of page replacement techniques had suggested by the researchers. In this paper, we have proposed an modified page replacement technique, which is based on the concept of block reading of pages from the secondary storage. The disc access is very slow as compared to the access from primary memory. Whenever there is a page fault, the required page is retrived from the secondary storage. The numerous page faults increase the execution time of process. In the proposed methodology, a number of pages, which is equal to the allotted memory frames, are read every time when there is a page fault instead of reading a single page at a time. If a block of pages has fetched from secondary storage, it will definitely increases the possibilities of page hit and as a result, it will improve the hit ratio for the processes.
Three Degree of Freedom Spatial Parallel Manipulator Inverse Kinematic Position Analysis
Authors: Rao Pundru Srinivasa , Rao Nalluri Mohan 
Published: November 2018

This paper presents inverse kinematic position analysis of three degree of freedom spatial parallel manipulator, which has three similar kinematic closed loops. Each loop consist of an actuated sliding linkage- rotational joint and spherical joint. The actuated sliding linkage is coupled to inclined limb of fixed base platform and rotational joints are integrated to the linear sliding actuators. The limbs are connected from rotational joints to moving platform by spherical joints. The degree of freedom of a manipulator is obtained by spatial kutzbach criterion. The inverse kinematic position analysis problem solved by using closed loop technique is applied to 3-coupled trigonometric equations which are obtained with side and behaviour constraints of a parallel manipulator. By using MATLAB the three non-linear coupled algebraic equations are solved. The inverse kinematic position analysis procedure is used in the development process of spatial parallel manipulator. The part of kinematic analysis is used to check the required positions-orientations and after kinematic process the obtained positions-orientations of the moving platform of the developed spatial parallel manipulator.Â Â
Spatial Three Degree of Freedom Parallel Manipulator Forward Kinematic Position Analysis
Authors: Rao Pundru Srinivasa , Rao Nallur Mohan 
Published: November 2018

This work presents forward kinematic position analysis of a spatial three degree of freedom parallel manipulator, which has three symmetric loops. The three loops consist of an actuated sliding links- rotational and spherical joints. The actuated sliding links are attached to inclined base platform via rotational joints. The limbs are connected from rotational joints to moving platform by spherical joints. The degree of freedom of a spatial parallel manipulator is analyzed via kutzbach criterion. The forward kinematic position analysis carried out by using 3-coupled trigonometric equations which are formulated with side and behaviour constraints of the manipulator. There are many difficulties in solving the system of non-linear equations in kinematics of manipulator therefore by using MATLAB the three non-linear coupled algebraic equations are solved. The forward position kinematic analysis part is used in the development procedure of spatial parallel manipulator to check, the required and obtained positions of the moving platform of the developed manipulator.Â Â
Performance Analysis of 5G Waveform â€“ Bi-Orthogonal Frequency Division Multiplexing under Real Fading Condition Simulations
Authors: Sekhar Yarrabothu Ravi , Satrasupali Sivaji , Gutha Lakshmi 
Published: November 2018

4G LTE communication system uses OFDM and for resource allocation control channels like PRACH is used. Around 6% bandwidth is getting used for this PRACH procedure and due to OFDM requirement of strict synchronization, short messaging become tedious and cause power wastage due to the control traffic for every message. The main challenge for 5G communications is to handle the transmission of extremely asynchronous data and control traffic in one go. Existing OFDM based systems have the drawback of very sensitive to the time and frequency offsets and in turn results in synchronization errors. To overcome this challenge, it has been adopted a new waveform based on Bi-orthogonal Frequency Division multiplexing (BFDM) which supports the Internet of Things (IoT) sporadic traffic. In this paper, BFDM principles, behaviour of BFDM under various channel conditions, Matlab simulation results pertaining to the performance of BFDM against the existing OFDM are discussed. The simulation results shows that the Symbol Error Rate of the BFDM system is less than the OFDM under time varying fading conditions such as Extended Pedestrian A (EPA), Extended Vehicular A (EVA), Extended Typical Urban(ETU) models.Â Â
A Comparative Study on Shear Wall Concept in Accordance to its Seismic Behavior
Authors: U Deepna , S Menon Arjun , Balamurugan S 
Published: November 2018

The consequences of lateral loads like earthquake loads, wind loads and blast forces are achieving utmost concern nowadays. Imparting sufficient strength and stability in counter to the lateral loads is one of the major challenges faced by every designer. Therefore Proper understanding of the Seismic performance of different types of shear walls is necessary for structural engineers so as to safeguard the structure against lateral loads. The present paper describes the comparison of the seismic performance of high rise buildings and optimizing the thickness of RCC shear wall, Steel Plate Shear Wall (SPSW) and composite shear wall for (G+20) stories. The design and analysis of theÂ building with RCC shear wall, steel plate shear wall and composite shear wall is carried out using software ETABS. Effect of varying thickness of shear panels and comparison of the results of story drift and story shear is presented.Â Â