bluuebunny/crossref_metadata_2025_split huggingface dataset:
An architecture of 5G based on SDN NV wireless network
Authors: Z. Ibrahim Abeer .A. , Hashim Fazirulhisyam 
Published: April 2019

<span>The unexpected increase demand growth of broadband traffic, rapid advancement in networking and internet technology led to the growth in Internet-connected devices to sensor networks, and machine type communication devices. These increases bring more challenges in network capacity and connectivity. The use of the new 5G technology continues to address these challenges by providing high data rates, low latency, and more mobility with highly and densified HetNe deploment. This densified network brings new challenges to service provisioning in future networks based on the recent network paradigm innovations, Network Virtualization and Software Defined Networking to cope with massive broadband connectivity and enhancement of capacity, flexibility, and scalability. This study sets out to present the key features and requirements for 5G HetNet, SDN and NFV. The results of this study generally justify the challenges and how to integrate them into future wireless networks through a proposed 5G-based SDN-NV wireless network architecture to enable best network performance and resource management.</span>
Optimization of high-k composite dielectric materials of variable oxide thickness tunnel barrier for nonvolatile memory
Authors: A.Hamid Farah , Hamzah Afiq , Alias N. Ezaila , Ismail Razali 
Published: April 2019

<span>Downscaling the tunnel oxide thickness has become one of the innovative solutions to minimize the operational voltage with better the programming/erasing (P/E) operation time. However, the downscaling technique faces several challenges where the conventional SiO<sub>2</sub> tunnel layer has reached its limit. But a practical alternative has been introduced; Variable Oxide Thickness (VARIOT) technology in flash memory has been promising. VARIOT is one of tunnel barrier engineering technology for incorporating the high-k dielectric materials as a composite tunnel barrier. This paper presents the VARIOT concept to determine the optimum set of combination, the equivalent oxide thickness (EOT) and the low-k oxide thickness (T<sub>ox</sub>) for alternate high-k materials. Fowler-Nordheim (F-N) tunneling coefficients are also extracted for various combinations of VARIOT, where in this work ZrO<sub>2</sub>, HfO<sub>2</sub>, Al<sub>2</sub>O<sub>3,</sub> La<sub>2</sub>O<sub>3, </sub>and Y<sub>2</sub>O<sub>3 </sub>are used. The VARIOT optimization is conducted using 3-Dimensional (3D) Silicon Nanowire Field-Effect-Transistor (SiNWFET) device structure and simulated in TCAD Simulation tools. From the simulation results, it has found out that the high-k materials of La<sub>2</sub>O<sub>3 </sub>asymmetric stack is the excellent dielectric material among four (4) other dielectric materials; ZrO<sub>2</sub>, HfO<sub>2</sub>, Al<sub>2</sub>O<sub>3 </sub>and Y<sub>2</sub>O<sub>3</sub> for EOT=4nm and T<sub>ox</sub>=1nm. </span>
A coarse-to-fine copy-move image forgery detection method based on discrete cosine transform
Authors: Azol Mas Elyna , Ramli Nur Hidayah , Lee Y.S. Lee , Abuzar Siti Azura 
Published: April 2019

<span>Copy-move forgery is a type of image forgery where one part of an image is copied and pasted in other regions of the same image, and it is one of the most common image forgeries to conceal some information in the original image. Discrete Cosine Transform (DCT) is one of the detection techniques which the detection rate relies intensely on the size of block used. Small block size is known for its ability to detect fine cloned objects, but the drawback is it produces too many false positive and requires high execution time. In this research, a method to overcome the weaknesses of using small block size by applying the coarse-to-fine approach with the two-tier process is proposed. The proposed method is evaluated on fifteen forged images on the CoMoFoD dataset. The results demonstrated that the proposed method is able to achieve high precision and recall rate of over 90% as well as improves the computation time by reducing the overall duration of forgery detection up to 73% compared to the traditional DCT method using small block size. Therefore, these findings validate that the proposed method offers a trade-off between accuracy and runtime.</span>
e-PADI: an iot-based paddy productivity monitoring and advisory system
Authors: Ismail M.A.F. , Md. Isa M. N. , Mohyar S. N. , Ahmad M.I. , Ismail M. N. M. , Ismail R. C. , Harun A. , Murad S.A.Z. 
Published: April 2019

<span>Rice is source of food calories and protein. This second most widely grown cereal crop is the staple food for more than half the world’s population especially in developing countries. The ability of global rice production to meet population demands (now estimated at more than 5 billion and projected to rise to 8.9 billion by 2050) remains in uncertainty in the near future unless challenges in rice production are properly addressed [1-3]. This paper proposed an IoT (Internet of things)-based paddy productivity monitoring and advisory system Using Dash7 Wireless Network Protocol. All collected data will be stored in a database management system to enable users to retrieve data either from tablets, smartphones or computers. The heart of the system is the ATmega328p microcontroller that will control the payload of the wireless network of dash7 and read data from sensor nodes. Results show all data from sensor nodes in representation of graph for analysis purpose.</span>
A simplify fuzzy logic controller design based safe experimentation dynamics for pantograph-catenary system
Authors: Faisal Farhan Mohd , Abdul Shukor Nor Sakinah , Ashraf Ahmad Mohd , Helmi Suid Mohd , Riduwan Ghazali Mohd , Mat Jusof Mohd Falfazli 
Published: April 2019

Contact force between catenary and pantograph of high speed train is a crucial system to deliver power to the train. The inconsistence force between them can cause the contact wire oscillate a lot and it can damage the mechanical structure of system and produce electric arc that can reduce the performance of system. This project proposes a single-input fuzzy logic controller (SIFLC) to control the contact force between the pantograph-catenary by implement Safe Experimentation Dynamics (SED) method to tune the SIFLC parameters. The essential feature of SIFLC is that it is model-free type controller design with less pre-defined variables as compared to other existing model-based controllers. The performance of the SIFLC is analyzed in terms of input tracking of contact force of pantograph-catenary and time response specifications. A simplified model of three degree of freedom (3-DOF) pantograph-catenary system is considered. In this study, the simulation result shows that the SIFLC successfully track the given contact force with less overshoot with percentage different of peak to peak response from actual force 2% and fast response within 5.27s
Design of low power 8-bit gate-diffusion input (GDI) full adder using variable body bias (VBB) technique in 90nm technology
Authors: Wei Kai Woo , Ahmad Nabihah , Hairol Jabbar Mohamad 
Published: April 2019

In digital system, the full adders are fundamental circuits that are used for arithmetic operations. Adder operation can be used to implement and perform calculation of the multipliers, subtraction, comparators, and address operation in an Arithmetic Logic Unit (ALU). The subthreshold leakage current increasing as proportional with the scaling down of oxide thickness and transistor in short channel sizes. In this paper, a Gate-diffusion Input (GDI) circuit design technique allow minimization the number of transistor while maintaining low complexity of logic design and low power realization of Variable Body Biasing (VBB) technique to reduce the static power consumption. The Silterra 90nm process design kit (PDK) was used to design 8-bit full adder with VBB technique in full custom methodology by using Synopsys Electronic Design Automation (EDA) tools. The simulation of 8-bit full adder was compared within a conventional bias technique and VBB technique with operating voltage of supply. The result showed the reduction of VBB technique in term of peak power, and average power, compare with conventional bias technique. Moreover, the Power Delay Product (PDP) showed 1.29pJ in VBB technique compare with conventional bias mode 1.67pJ. The area size of 8-Bit full adder was 10μm×23μm.
Reliability optimization of electrical distribution systems considering expenditures on maintenance and customer interruptions
Authors: Kela K B , Suthar Bhavik N , Arya L D 
Published: April 2019

<p>In this paper, a methodology is proposed which shows enhancement of reliability by optimizing total reliability cost of electrical distribution systems. The total reliability cost consists of cost incurred by utility and customers both. An objective function in terms of failure rates and repair times i.e. primary reliability indices has been formulated which depicts both these costs . Hence, optimization of the objective function will give a balance between these costs with optimized values of primary reliability indices. This optimization has been done considering the constraints of achieving customer and energy based reliability indices below threshold/target values. The methodology has been applied on Roy Billinton Test System- Bus 2 (RBTS-2). The problem has been solved by applying Flower Pollination (FP) algorithm. A comparison has been made with the results obtained by Differential evolution (DE) algorithm also for the system considered.</p>
An open source tool for reliability evaluation of distribution system using Monte Carlo simulation
Authors: Chitumodhu Bhargava , Loka Renuka 
Published: April 2019

<span lang="EN-US">As the demand for electricity is shooting exponentially, reliable supply of electrical energy from generation to customer is the challenging task faced by utilities. Though generation and transmission can be maintained at hundred percent reliability, reliability of entire system cannot be assured unless focus is laid on distribution system. Most of the faults are occurring on the distribution system which is directly connected to different customers. Hence, we need to intensify the attention at distribution level. Due to deregulation, private players are evolving in distribution sector which complicates power system data exchange and information integration. To cope with this scenario, reliability evaluation of distribution system through Monte Carlo Simulation (MCS) with feature of interoperability for Bus 2 of RBTS system has been introduced and analyzed using SOAP web services. Simulation is performed by developing a web application in Java and is deployed on the Glass-fish server using JAX-WS. The intent behind this proposed model is to use the internet as the transactional tool and exposing the functionality of the program for reliability evaluation for utilities to use and providing facility of interoperability through standards refinement and integration into profiles.</span>
Evaluation of gas fuel and biofuel usage in turbine
Authors: Al-Mamoori Dalya H. , Aljanabi Mohanad H. , Alobaidi Ali Assim , Neda Omar Muhammed , Al-Tameemi Zaid H. 
Published: April 2019

<p>Modern gas turbines are a significant source for power generation and prime mover for marine propulsion. The depleting fossil fuel sources have provided a cue for broader implementation and usage of renewable energy. Biofuel has been touted as a substitute for natural gas to power gas turbines. To confirm the dependability and reliability of this attempt in a complex multi-domain system, for example, the gas turbine, the fuel system of the micro-gas turbine is designed and modelled using MATLAB Simulink. The model; simulates the; transient and steady state of a gas turbine’s nominal functional situations. Evaluations between the field data and; simulation outcomes validate a high degree of correspondence. The fuel system in the micro;-gas turbine simulation model is also optimized with the experimental data. </p>
Improved reliable multilevel inverter for renewable energy systems
Authors: M Sujatha , Parvathy A.K. 
Published: April 2019

<p>New improved multilevel inverter (MLI) topology for Renewable energy systems is proposed in this paper. Cascaded multilevel inverters (CMLI) produce an output voltage level depending on the number of individual sources connected. The main drawback of CMLI is, as the output voltage level increases in number, the switches used in the device also increases and hence the complexity of the circuit increases. As the number of switches increases, the reliability of the circuit decreases. In this paper a novel MLI topology, which employs lesser number of switches, is proposed. A simulation model of CMLI and the proposed MLI has been built in MATLAB/SIMULINK. The reliability of the CMLI and the new topology MLI is analyzed by using MIL-HDBK-217. </p>
Improved wind system using non-linear power control
Authors: IHEDRANE Yasmine , El Bekkali Chakib , El Ghamrasni Madiha , Mensou Sara , Bossoufi Badre 
Published: April 2019

<p>This article, present a new contribution to the control of wind energy systems, a robust nonlinear control of active and reactive power with the use of the Backstepping and Sliding Mode Control approach based on a doubly fed Induction Generator power (DFIG-Generator) in order to reduce the response time of the wind system. In the first step, a control strategy of the MPPT for the extraction of the maximum power of the turbine generator is presented. Subsequently, the Backstepping control technique followed by the sliding mode applied to the wind systems will be presented. These two types of control system rely on the stability of the system using the LYAPUNOV technique. Simulation results show performance in terms of set point tracking, stability and robustness versus wind speed variation. </p>
Peak-to-average power ratio reduction in wavelet packet modulation Using Binary Phase Sequence.
Authors: Kulkarni Vijaya M. , Bhalchandra A. S. 
Published: April 2019

<p class="1">A novel method of Peak–to-Average–Power-Ratio reduction is presented in this paper using WPT for multi carrier modulationand Riemann matrix for phase sequencing in SLM. Wavelet Packet Multicarrier Modulation(WPM) is a betteralternative to the existing multicarrier transmission system,OFDM system which suffers from high PAPR.Further reduction in Peak to Average Power Ratio (PAPR)is achieved by using Wavelet Packet Modulation(WPM) with SLM technique. Classical SLM uses random phases for phase rotations which suffers from the additional load of transmitting SI(side Information) to receiver. So to overcome a novel method is proposed here which uses the principle of varying the phases of the subcarrier data block to be transmitted ,using rows of the normalised Reimann matrix as phase sequence vectors for the Selected Mapping (SLM)Technique. The generated WPM frame with minimum PAPR is selected and transmitted .The proposed system achieves a significant improvement in PAPR reduction over the OFDM-classical SLM and WPM-classical SLM.</p>
A compact dual band PIFA antenna for GPS and ISM BAND applications
Authors: Samir Elkilani , Abdellaoui Larbi El , Zbitou Jamal , Errkik A. , Latrach Mohamed 
Published: April 2019

This work deals with desgin of a novel compact Dual band PIFA Antenna structure. The proposed antenna is validated for GPS and WIFI applications. The antenna is achieved on a lossy FR4 substrate. The final size of the antenna is 100×55×13.235 mm3. The final antenna structure was optimized and validated into simulation, fabrication and test. The proposed multiband PIFA is optimized by using solts technique. The fabricated antenna is validated to cover the operating frequencies of GPS (1.535 -1.7GHz) and BLUTOOTH/WIFI (2.54-2.47GHz) bands.
A chaotic based integrity verification and encryption model for real-time VANET
Authors: Shaik Kareemulla , Ali Hussain Dr. Md. 
Published: April 2019

<p class="Abstract">Integrity and data privacy are the main security parameters between the vehicle and roadside unit (RSU) over large VANETs. The integrity of the vehicle is used to check its identity against the neighboring nodes, whereas data privacy ensures that the data of a vehicle has not been altered during the communication process. VANETs provide vehicles to give information about the security parameters and identity to vehicle to infrastructure communication and vehicle to vehicle communication. Most of the traditional VANETs are vulnerable to data security, integrity and authentication due to change in dynamic topology. Also, Traditional security models require limited data size for data security between the V2V or V2I. In this paper, an integrity verification model and non-linear double encryption model were proposed and implemented on large geographical VANET map. The main objective of the proposed model is to improve the security of the V2V communication in large VANETs. Experimental results proved that the proposed security model has less computation cost for encryption model and higher bit change during integrity verification compared to the existing approaches.</p>
OCA: overlapping clustering application unsupervised approach for data analysis
Authors: Danganan Alvincent Egonia , Sison Ariel M. , Medina Ruji P. 
Published: April 2019

<p>In this paper, a new data analysis tool called Overlapping Clustering Application (OCA) was presented. It was developed to identify overlapping clusters and outliers in an unsupervised manner. The main function of OCA is composed of three phases. The first phase is the detection of the abnormal values(outliers) in the datasets using median absolute deviation. The second phase is to segment data objects into cluster using k-means algorithm. Finally, the last phase is the identification of overlapping clusters, it uses maxdist (maximum distance of data objects allowed in a cluster) as a predictor of data objects that can belong to multiple clusters. Experimental results revealed that the developed OCA proved its capability in detecting overlapping clusters and outliers accordingly.</p>
Recognize printed Arabic letter using new geometrical features
Authors: Mohamad Haidar , Hashim Seham , Al-Saleh Anwar 
Published: April 2019

<p>The task of recognizing the shape of Arabic letters using modified algorithms discussed in this paper. The difficulty of recognizing these letters is summarized in the shape of the Arabic letter within a word from a large set of letters has a similar shape. Moreover, the shape of the letter is different depending on its position begin, middle, end within a word. Therefore, it is necessary to introduce new geometric features to categorize each letter. The suggested algorithm with 19 features is used in this paper. These features, like define points for each letter, divide a letter to blocks, edge detection and other features are shown in the suggested algorithm. The introduced geometric features give a high accuracy to recognize printed Arabic letter within a word or text. Minimum distance criteria used to estimate the error of the recognition process between the database and the tested Arabic letter. This method is good to explain the behaviour of the designed algorithm code to distinguish the geometric properties and the accuracy reaches 99.8% for the proposed method. The letter size changes geometry details when the font size is changed. The studied font is Times New Roman with size 30, 36, and 39. </p>
Rain prediction using fuzzy rule based system in North-West malaysia
Authors: Mohd Safar Noor Zuraidin , Ramli Azizul Azhar , Mahdin Hirulnizam , Ndzi David , Naim Ku Khalif Ku Muhammad 
Published: April 2019

<span>The warm and humid condition is the characteristic of Malaysia tropical climate. Prediction of rain occurrences is important for the daily operations and decisions for the country that rely on agriculture needs. However predicting rainfall is a complex problem because it is effected by the dynamic nature of the tropical weather parameters of atmospheric pressure, temperature, humidity, dew point and wind speed. Those parameters have been used in this study. The rainfall prediction are compared and analyzed. Fuzzy Logic and Fuzzy Inference System can deal with ambiguity that often occurred in meteorological prediction; it can easily incorporate with expert knowledge and empirical study into standard mathematical. This paper will determine the dependability of Fuzzy Logic approach in rainfall prediction within the given approximation of rainfall rate, exploring the use of Fuzzy Logic and to develop the fuzzified model for rainfall prediction. The accuracy of the proposed Fuzzy Inference System model yields 72%</span>
An adaptive intelligent alarm system for wireless sensor network
Authors: Salman Ayman Dawood , Khalaf Osamah Ibrahim , Abdulsaheb Ghaida Muttasher 
Published: April 2019

Security is one of the imperative issues in an advanced local condition. The current center around formative and research issues of Wireless Sensor Network(WSN) based Smart Home. WSN based shrewd home detection system gives a safe and safe living condition. A Wireless Sensor System (WSN) is a system which is building by utilizing little independent hubs (sensors). Its motivation is to screen certain ecological parameters, for example, temperature, dampness, brilliance, weight, sound, movement, and so forth. This paper depicts the improvement of a smart home condition dependent on exact Wireless Sensor Network and furthermore depicts private vitality observing and controlling procedures for keen home systems administration framework. This paper proposes a basic and adaptable remote arrange for domestics computerization of temperature, moistness, gas, movement and light by executing dependable sensor hubs which can be controlled too observed. This innovation offers energizing and new chance to build the availability of devices inside the home for the home computing.
Using infrared radiation in preparation of feed for farm livestock
Authors: Senthilkumar T , Reshetnik Ekaterina I. , Evdokimov Vyacheslav G. , Perepelkina Lyubov I. , Krivuca Zoya F. , Samarina Yulia R. , Kuznetsov Evgeniy E. , Kuznetsov Natalia A. 
Published: April 2019

<p>The article in hand describes a processing line for preparation of feed for farm livestock and the design of an infrared drying unit integrated into this line. The main objective of this study is to find ways to provide a full-value feeding of farm animals throughout the calendar year. At present, there are various methods for preserving feed proposed with the aim of providing a full-fledged diet. However, following the recommendations for feed storage according to the recommended conditions, as a rule, results in high losses of its total weight and nutritional properties due to a long winter period with low-temperature regimes, typical of the Amur Region of Russia. This article presents the results of the study of a prospective processing line for the preparation of feed for long-term storage, which ensures the preservation of their basic nutritional properties, with an integrated infrared drying unit.</p>