bluuebunny/crossref_metadata_2025 huggingface dataset:
A comparison of performance between double-gate and gate-all-around nanowire MOSFET
Authors: Fareza Kosmani Nor , A.Hamid Fatimah , Razali M. Anas
Published: January 2019

Due to the rapid scaling of Complementary Metal-Oxide-Semiconductor (CMOS), the structure of the planar MOSFET approaches the scaling limits when the short channel effects (SCEs) become the main problem. The Double-Gate and Gate-all-Around nanowire MOSFETs are said to be the promising candidate to replace the planar MOSFET in order to pursue CMOS scaling. Therefore, this paper present the result of device simulation using Silvaco TCAD tools for Double-Gate and Gate-All-Around nanowire MOSFETs. The purpose of this simulation work is to compare the performance of GAA nanowire and DG MOSFET and then study the effect of physical parameter on electrical behavior for both devices. The result of the simulated model of Gate-All-Around nanowire is compared with published data.  It was found that when the gate length of DG was scaled from 80nm to 10nm, the subthreshold slope is increasing from 62mV/dec to 162.7mV/dec. While for GAA, the subthreshold slope is increasing from 65.8mV/dec to 127mV/dec. The threshold voltage in DG and GAA at Lg=80nm are 0.40646V and -0.17505V respectively. Even though heavy doping was good for suppressing SCE, the lower doping concentration is desirable as the DG and GAA nanowire had higher on-state currents with 1.42x10-3Aand 3.23x10-4A respectively. It also showed that the threshold voltage of DG and GAA nanowire increase from -0.0734V to 0.2312V and -0.0319V to 0.2232V respectively when the channel doping is varies from lower to higher concentration.
Prototype Design of Smart Home System using Internet of Things
Authors: Gunawan Teddy Surya , Yaldi Intan Rahmithul Husna , Kartiwi Mira , Ismail Nanang , Za'bah Nor Farahidah , Mansor Hasmah , Nordin Anis Nurashikin
Published: January 2019

Smart home control system can be integrated into an existing home appliances to reduce the need for human intervention, increase security and energy efficiency. However, it is still an open problem due to difficulties such as network distance, signal interference, not user friendly, increased cost and power consumption. This paper reviews various topics on smart home technologies including control system, smart home network, smart home appliance and sensor technologies for smart home. In this research, the proposed prototype of home automation allows users to remotely switch on or off any household appliance based on Internet of Things (IoT) with the enhancement of solar charger. The smartphone and/or tablet replaces the manual use of personal computer without the need for high additional cost. This prototype uses four types of sensors i.e. PIR sensor, temperature sensor, ultrasonic sensor and smoke gas sensor for automatic environmental control and intrusion detection.
Research on Resource Allocation based on Clustering in Femtocell Networks
Authors: Kai Ding , Zhanjun Liu , Shiyan Zhou , Weiyi Ran , Wei Li
Published: January 2019

Aiming at the problem that existing femtocell base station searching the optimal clustering scheme based on the clustering resource allocation algorithm is complex. we propose that building an conflict graph and adjacency matrix before clustering to calculate the number of clusters needed for FBS group by using the adaptive clustering heuristic algorithm. We follow maximization the sum of the FBS distances in the cluster and group the femtocell base stations to narrow the search range to reduce the computational complexity. In order to achieve different business types service, based on the above clustering algorithm, this paper proposes a new method that using the weighted energy efficiency, which including the user interruption and the network spectral efficiency as a fitness function of the power control scheme to solve the problem. The simulation results show that the same rate requirement reduces the complexity, while the same complexity increases the user's average rate.
Comparative Study of Fuzzy Logic Mobility Based FLM-AODV Routing Protocol and AODV in MANETs
Authors: Sharma Vivek , Alam Bashir , Doja M. N.
Published: January 2019

In mobile ad hoc wireless networks (MANETs), traditional protocol like AODV performs well for low mobility of nodes but not for high node mobility. So, it becomes important to consider mobility factor during the path selection procedure of routing protocol. Here, a fuzzy logic mobility based protocol (FLM-AODV) that considers the mobility factor is proposed. Due to the consideration of mobility factor, the proposed protocol has better performance than the traditional AODV. The experiment results show that the proposed protocol has advantages of improved average end-to-end delay and packet delivery ratio (PDR) over existing AODV protocol.
Estimation of Millimeter Wave Attenuation Due to Rain using 2D Video Distrometer Data in Malaysia
Authors: Alhilali Manhal , Din Jafri , Schönhuber Michael , Lam Hong Yin
Published: January 2019

The increasing use of millimeter wave frequency bands requires a good understanding of the atmospheric channel. In equatorial regions, rain plays the central role in the impairment of millimeter wave propagation. Using large amounts of precise data collected by a two-dimensional video distrometer in Malaysia, the rain-specific attenuation of both vertically and horizontally polarized waves at the 38 GHz frequency was computed by applying the T-matrix technique. Good agreement is observed between these computations and fitted power law models from neighboring areas, but the ITU-R Recommendation P.838-3 significantly underestimates the rain-specific attenuation. The importance of including raindrop axial ratio in the calculation is revealed by differences among the local fitted coefficients for the vertically polarized estimations. The power law fit is provided, and the measurement is verified.
A Miniaturized 878 MHz Slotted Meander Line Monopole Antenna
Authors: Ripin Nabilah , Sulaiman Ahmad Asari , Abd Rashid Nur Emileen , Hussin Mohamad Fahmi , Ismail Nor Najwa
Published: January 2019

A slotted meander line printed monopole antenna for low frequency applications at 878 MHz is presented. The operating frequency of the conventional printed monopole antenna was greatly reduced by the presence of the slots and meander line which lead to the reduction of the antenna size. The size reduction up to 70% compared to the conventional reference antenna is achieved in this study. The antenna has a simple structure and small antenna size of 46.8 mm x 74 mm or 0.137𝝀0 x 0.217𝝀0. The antenna has been fabricated on the low-cost FR4 substrate and measured to validate the simulation performances. Measured results display that the proposed antenna produces omnidirectional radiation pattern of impedance bandwidth of 48.83 MHz and the maximum gain of -1.18 dBi.
Performance Evaluation of Elliptical-Cylindrical Antenna Array using SaDE Optimized Hyper Beam
Authors: Lema Gebrehiwet Gebrekrstos
Published: January 2019

For high performance communication systems, Side Lobe Level (SLL) reduction and improved directivity are the goal of antenna designers. In the recent years, many optimization techniques of antenna design are occupying demanding place over the analytical techniques. Though they have contributed attractive solutions, it is often obvious to select one that meets the particular design need at hand. In this paper, an optimization technique called Self-adaptive Differential Evolution (SaDE) that can be able to learn and behave intelligently along with hyper beam forming is integrated to determine an optimal set of excitation weights in the design of EcAA. Non-uniform excitation weights of the individual array elements of EcAA are performed to obtain reduced SLL, high directivity and flexible radiation pattern. To evaluate the improved performance of the proposed SaDE optimized hyper beam, comparison are done with uniformly excited, SaDE without hyper beam and Genetic Algorithm (GA). In general, the proposed work of pattern synthesis has resulted in much better reduction of SLL and FNBW than both the uniformly excited and thinned EcAA. The results of this study clearly reveal that the SLL highly reduced at a very directive beamwidth.
QoS Performance of Integrated Hybrid Optical Network in Mobile Fronthual Networks
Authors: Hailu Dawit Hadush
Published: January 2019

Cloud Radio Access Network (C-RAN) has emerged as a promising solution to meet the ever-growing capacity demand and reduce the cost of mobile network components. In such network, the mobile operator’s Remote Radio Head (RRH) and Base Band Unit (BBU) are often separated and the connection between them has very tight timing and latency requirements. To employ packet-based network for C-RAN fronthaul, the carried fronthaul traffic are needed to achieve the requirements of fronthaul streams. For this reason, the aim of this paper is focused on investigating and evaluating the feasibility of Integrated Hybrid Optical Network (IHON) networks for mobile fronthaul. TransPacket AS (www.transpacket.com) develops a fusion switching that efficiently serves both Guaranteed Service Transport (GST) traffic with absolute priority and packet switched Statistical Multiplexing (SM) best effort traffic. We verified how the leftover capacity of fusion node can be used to carry the low priority packets and how the GST traffic can have deterministic characteristics on a single wavelength by delaying it with Fixed Delay Line (FDL). For example, for L1GE SM =0.3 the added SM traffic increases the 10GE wavelength utilization up to 89% without any losses and with SM PLR=1E-03 up to 92% utilization. The simulated results and numerical analysis confirm that the PDV and PLR of GST traffic in Ethernet network meet the requirements of mobile fronthaul using CPRI. For Ethernet network, the number of nodes in the network limits the maximum separation distance between BBU and RRH (link length); for increasing the number of nodes, the link length decreases. Consequently, Radio over Ethernet (RoE) traffic should receive the priority and Quality of Service (QoS) HP can provide. On the other hand, Low Priority (LP) classes are not sensitive to QoS metrics and should be used for transporting time insensitive applications and services.
An Empirical Performance Evaluation of Docker Container, Openstack Virtual Machine and Bare Metal Server
Authors: Shetty Jyoti , Upadhaya Sahana , H S Rajarajeshwari , G Shobha , Chandra Jayant
Published: January 2019

Server virtualization is a fundamental technological innovation that is used extensively in IT enterprises. Server virtualization enables creation of multiple virtual machines on single underlying physical machine. It is realized either in form of hypervisors or containers. Hypervisor is an extra layer of abstraction between the hardware and virtual machines that emulates underlying hardware. In contrast, the more recent container-based virtualization technology runs on host kernel without additional layer of abstraction.Thus container technology is expected to provide near native performance compared to hypervisor based technology. We have conducted a series of experiments to measure and compare the performance of workloads over hypervisor based virtual machines, Docker containers and native bare metal machine. We use a standard benchmark workload suite that stress CPU, memory, disk IO and system. The results obtained show that Docker containers provide better or similar performance compared to traditional hypervisor based virtual machines in almost all the tests. However as expected the native system still provides the best performance as compared to either containers or hypervisors.
Content Based Image Retrieval using Feature Extraction in JPEG Domain and Genetic Algorithm
Authors: N Parvin , P Kavitha
Published: January 2019

Content-Based Image Retrieval (CBIR) aims at retrieving the images from the database based on the user query which is visual form rather than the traditional text form. The applications of CBIR extends from surveillance to remote sensing, medical imaging to weather forecasting, security systems to historical research and so on. Though extensive research is made on content based image retrieval in the spatial domain, we have most images in the internet which is JPEG compressed which pushes the need for image retrieval in the compressed domain itself rather than decoding it to raw format before comparison and retrieval. This research addresses the need to retrieve the images from the database based on the features extracted from the compressed domain along with the application of genetic algorithm in improving the retrieval results. The research focuses on various features and their levels of impact on improving the precision and recall parameters of the CBIR system. Our experimentation results also indicate that the CBIR features in compressed domain along with the genetic algorithm usage improves the results considerably when compared with the literature techniques.

 
Efficiency of JSON for Data Retrieval in Big Data
Authors: Yusof Mohd Kamir
Published: January 2019

Big data is the latest industry buzzword to describe large volume of structured and unstructured data that can be difficult to process and analyze. Most of organization looking for the best approach to manage and analyze the large volume of data especially in making a decision. XML is chosen by many organization because of powerful approach during retrieval and storage processes. However, XML approach, the execution time for retrieving large volume of data are still considerably inefficient due to several factors. In this contribution, two databases approaches namely Extensible Markup Language (XML) and Java Object Notation (JSON) were investigated to evaluate their suitability for handling thousands records of publication data. The results showed JSON is the best choice for query retrieving speed and CPU usage. These are essential to cope with the characteristics of publication’s data. Whilst, XML and JSON technologies are relatively new to date in comparison to the relational database. Indeed, JSON technology demonstrates greater potential to become a key database technology for handling huge data due to increase of data annually.
Customized Hardware Crypto Engine for Wireless Sensor Networks
Authors: Awadalla Medhat , Al Maashri Ahmed , Pathuri Lavanya , Ahmad Afaq
Published: January 2019

Nowadays, managing for optimal security to wireless sensor networks (WSNs) has emerged as an active research area. The challenging topics in this active research involve various issues such as energy consumption, routing algorithms, selection of sensors location according to a given premise, robustness, and efficiency. Despite the open problems in WSNs, already a high number of applications available shows the activeness of emerging research in this area. Through this paper, authors propose an alternative routing algorithmic approach that accelerate the existing algorithms in sense to develop a power-efficient crypto system to provide the desired level of security on a smaller footprint, while maintaining real-time performance and mapping them to customized hardware. To achieve this goal, the algorithms have been first analyzed and then profiled to recognize their computational structure that is to be mapped into hardware accelerators in platform of reconfigurable computing devices. An intensive set of experiments have been conducted and the obtained results show that the performance of the proposed architecture based on algorithms implementation outperforms the software implementation running on contemporary CPU in terms of the power consumption and throughput.
Performance Evaluation of Ethernet Network for Mobile Fronthual Networks
Authors: Hailu Dawit Hadush
Published: January 2019

Increasing mobile data traffic due to the rise of both smartphones and tablets has led to high-capacity demand of mobile data network. To meet the ever-growing capacity demand and reduce the cost of mobile network components, Cloud Radio Access Network (C-RAN) has emerged as a promising solution. In such network, the mobile operator’s Remote Radio Head (RRH) and Base Band Unit (BBU) are often separated and the connection between them has very tight timing and latency requirements imposed by Common Public Radio Interface (CPRI) and 3rd Generation Partnership Project (3GPP). This fronthaul connection is not yet provided by packet based network. To employ packet-based network for C-RAN fronthaul, the carried fronthaul traffic are needed to achieve the requirements of fronthaul streams. For this reason, the aim of this paper is focused on investigating and evaluating the feasibility of Ethernet networks for mobile fronthaul. The fronthaul requirements used to evaluate and investigate this network are maximum End to End (E2E) latency, Packet Loss Ratio (PLR) and Packet Delay Variation (PDV). The simulated results and numerical analysis confirm that the PDV and PLR of High Priority (HP) traffic in Ethernet network meet the requirements of mobile fronthaul using CPRI. However, the PDV of HP traffic meets the fronthaul network when the number of nodes in the Ethernet network is at most four. For Ethernet network, the number of nodes in the network limits the maximum separation distance between BBU and RRH (link length); for increasing the number of nodes, the link length decreases. Consequently, Radio over Ethernet (RoE) traffic should receive the priority and Quality of Service (QoS) HP can provide. On the other hand, Low Priority (LP) classes are not sensitive to QoS metrics and should be used for transporting time insensitive applications and services.
A New Method of Voltage Flicker Detection for Hilbert Vibration Decomposition
Authors: Cao Tiejun
Published: January 2019

Hilbert Vibration Decomposition (HVD) is introduced to the voltage flicker analysis. When voltage flicker accompanies with high order harmonics, the instantaneous frequency of its analytic signal in principle consists of two different parts, power frequency and a rapidly varying asymmetrical oscillating part. The important property of the instantaneous frequency offers a direct way to estimate the power frequency using a low-pass filter and remove the high order harmonics without pre-treatment procedures. Corresponding voltage flicker envelope is estimated using synchronous detection. The HVD method does not involves basic functions that the wavelet transform method needs. It can also adaptively estimate the frequency and amplitude of every modulation frequency component. Simulation results prove that the proposed method could accurately detect voltage flicker with high order harmonics. It has higher calculation efficiency and detection precision than wavelet transform method. Experimental results show that the new algorithm is feasible and efficient.
Fuzzy Logic Application for Intelligent Control of An Asynchronous Machine
Authors: Mekrini Zineb , Bri Seddik
Published: January 2019

The aim of this article is propose a method to improve the direct torque control and design a Fuzzy Logic based Controller which can take necessary control action to provide the desired torque and flux of an asynchronous machine. It’s widely used in the industrial application areas due to several features such as fast torque response and less dependence on the rotor parameters. The major problem that is usually associated with DTC control is the high torque ripple as it is not directly controlled. The high torque ripple causes vibrations to the motor which may lead to component lose, bearing failure or resonance. The fuzzy logic controller is applied to reduce electromagnetic torque ripple. In this proposed technique, the two hysteresis controllers are replaced by fuzzy logic controllers and a methodology for implementation of a rule based fuzzy logic controller are presented. The simulation by Matlab/Simulink was built which includes induction motor d-q model, inverter model, fuzzy logic switching table and the stator flux and torque estimator. The validity of the proposed method is confirmed by the simulative results of the whole drive system and results are compared with conventional DTC method. 
Distributed Optimal Relay Selection in Wireless Sensor Networks
Authors: R Karthik , J Nagaraju , Vucha Mahendra
Published: January 2019

In wireless distributed sensor networks, one open problem is how to guarantee the reliable relay selection based on the quality of services diversity. To address this problem, we focus on the reliable adaptive relay selection approach and adaptive QoS supported algorithm, based on which we present a Markov chain model, in consideration of different packet states and error control algorithm assignment. The mathematical analyses and MATLAB simulation results show that the proposed relay selection approach could perform better in terms of saturation throughput, reliability, and energy efficiency, compared with the traditional approaches. More importantly, the quality of real-time multimedia streaming is improved significantly, in terms of decodable frame ratio and delay.
Design and Simulation of a New ZVT Bi-directional DC-DC Converter for Electric Vehicles
Authors: Thumma Rajesh , Kumar Bhajana Veera Venkata Subrahmanya , Aylapogu Pramo kumar
Published: January 2019

This paper presents a new zero voltage transistion (ZVT) bi-directional DC-DCconverter for energy storage system in DC traction. This bidirectional converter can transfers the power flow from low voltage side to high voltage side and viceversa. The conventional hard-switched non-isolated converter improved with the additional auxiliary cell to obtain zero voltage transition for the IGBTs. The main advantages of this topology are reduced the switching losses and improved the efficiency as well.The main aim of this converter is to achieve the operation of zero voltage transition during the commutation of main switches from off to on by utilizing auxiliary cell, which consist active and passive elements.The boost and buck modes of operations are achieved with the zero voltage transistion, which reduce the IGBTs current stresses and switching losses.This paper mainly describes the operation principles and the evaluation of the simulation results with the aid of Matlab simulations.The obtained results were proved the expected assumptions of the theoretical analysis.
Automatic Border Alert System for Fishermen using GPS and GSM Techniques
Authors: R Karthik , S Ranjith , S Shreyas , K Pradeep Kumar
Published: January 2019

Countries with the International Marine time Boundary Line (IMBL) will always has security problems and continuous life threatens for those fishermen whose family’s main economical support is fishing. Even in the peninsular country like India has their boundary limit in the ocean, the people of these coastal regions has the main work of fishing, due to carelessness or without knowing their boundary limit of their country they crosses the borders. In such situation the lives of fishermen continued to be difficult. They may face bullets and attacks from opposite Navy, at the end of attack fishermen are being abducted and their boats are being captured. So our paper is designed to avoid such kind of accidents and to alert the fishermen about border area well before using latest technology of Global Positioning System (GPS) and Global System for Mobile communication (GSM). And also this paper shows how this technology can be used for detecting natural hazards and obtaining meteorological information of the ocean for the safe navigation of fishermen.
Design of Remote Control Juvenile Healthy Smart Pillow
Authors: Zhou Huadong , He Xuran , Yang Jiaheng , Liao Lifan
Published: January 2019

High-quality modern life results in many unique diseases of modern people, cervical spondylosis, sleep disorders. Adolescents lack of sleep have a negative impac on the students themselvest. Not only it will reduce the body resistance, prone to a variety of diseases, but also it make learning when the spirit is not concentrated, attention is decreased, thus affecting the learning state. Long-term lack of sleep will lead to psychological problems, a potential threat is formed to the physical and mental health of young people. To this end, based on WeChat platform, a young people's health intelligence pillow is designed, it can be remotely controned.
Generator Dynamic Response Analysis and Improvement Following Distribution Network Disturbance
Authors: Saric Mirza
Published: January 2019

Use of renewable energy sources for the purposes of electricity generation is increasing throughout the world. Connection of new generators, however, introduces significant challenges to power network operators and managers. The power system transient stability is affected by the grid connection of new generation units. The objective of this paper is to investigate asynchronous generator dynamic response issues and capabilities under three phase symmetrical fault conditions and to propose a methodological approach to designing a generator transient stability solutions. Analysis and methodology are introduced through a realistic generator connection example. Simulations show that power system stability can be significantly affected by the connection of new generators and that this phenomena needs to be carefully considered during the connection planning process. This paper is a part of an ongoing research on the distributed generation impact on power network and its aim is to provide two main contributions to the existing body of knowledge. Firstly, it is expected that this paper will contribute toward a better understanding of the influence that generators have on the power system transient stability. Secondly, this paper is expected to contribute towards the practical understanding of fundamental power system transient stability improvement solutions.
A Review on Constant Switching Frequency Techniques for Direct Torque Control of Induction Motor
Authors: Jidin Auzani , Abdul Karim Kasrul , Rahim Khairi , Victor Raj Logan Raj Lourdes , Ramahlingam Sundram , Sutikno Tole
Published: January 2019

The Direct Torque Control (DTC) of induction machine has received wide acceptance in many Variable Speed Drive (VSD) applications due to its simple control structure and excellent torque dynamic control performances. However, the conventional DTC which employs a two-level inverter and hysteresis controllers produces two major drawbacks, namely, larger torque ripple and variable switching frequency, which might produce a very high switching frequency (or power loss), particularly at a very low speed operation. This paper highlight the common methods used to provide the constant switching frequency for DTC drives for Induction Motor that able to minimize the power losses and reduced the torque ripple.
Modeling of 6 to 4 Switched Reluctance Motor using Coefficient Method and Analytical Method
Authors: Abd Karim Kasrul , Abdullah N. , Othman M. Nazri , Jidin Auzani , Firdaus RN
Published: January 2019

Electric kick scooter field has become famous this lately, and become another solution for electric vehicle. Switched Reluctance Motor has been choosen as the propulsion system in this application due to the advantages of this motor. Meanwhile, the issue of lack experience in electrical motor design is one of the hollow subjects in machine design field. Through design aspects, the Switched Reluctance motor is developed using a simple technique which is coefficients method. This method is to provide the easiest ways for other non-academic designer for those who has lack experience in motor design. A set of a coefficient to determine motor dimension is being set. Then, this technique will be refered to the existing analytical method to provide a design guideline and to validate this coefficient as the quick references to design the SRM. The aim is not to make a comparison between the methods but intend to provide another easiest solution to design the SRM motor. The modelling has been test using RMxprt tools The expectation from this method is the outcomes will be compatible with existing design.
A Range Based Localization Error Minimization Technique for Wireless Sensor Network
Authors: Thimmaiah Sudha H. , G Mahadevan
Published: January 2019

Wireless sensor network (WSN) is composed of low cost, tiny sensor that communicates with each other and transmit sensory data to its base station/sink. The sensor network has been adopted by various industries and organization for their ease of use and is considered to be the most sorted future paradigm. The sensor devices are remotely deployed and powered by batteries. Preserving the energy of sensor devices is most desired. To preserve the battery efficient routing technique is needed. Most routing technique required prior knowledge of sensor nodes location in order to provide energy efficiency. Many existing technique have been proposed in recent time to determine the position of sensor nodes. The existing technique proposed so for suffers in estimating the likelihood of localization error. Reducing the error in localization is most desired. This work present a (Time-of-Arrival) based localization technique and also present adaptive information estimation model to reduce/approximate the localization error in wireless sensor network. The author compares our proposed localization model with existing protocol and analyses its efficiency.
An Efficient Environmental Channel Modelling in 802.11p MAC Protocol for V2I
Authors: S Neelambike , J Chandrika
Published: January 2019

Recent development in communication of wireless communication for automobile industry have aided the growth of SITS (Smart Intelligent Transport System) which solves numerous vehicular based communication service concerns like traffic congestion, accidental mishap etc. VANET (Vehicular Ad-hoc Network) a characteristic class of MANET (Mobile ad-hoc Network) which is a fundamental element of SITS in which the moving vehicles inter connected and communicates with each other remotely. Wireless technologies play an important part in assisting both Vehicle to Infrastructure (V2I) and Vehicle to Vehicle (V2V) correspondence in VANET. The existing scheduling technique does not consider the environmental factor which affects the throughput performance and increases packet drop rate which result in degradation of service quality. Here in this work the author propose a RHU (Rural, Highway and Urban) environment model considering the environmental factor. The efficient environmental model algorithm is incorporated into slotted aloha in IEEE 802.11p MAC protocols which aided as a spine for assisting both safety application and non-Safety applications. Experiments are conducted for collision and throughput efficiency for varied traffic load and speed of vehicle. The experimental result shows the proposed environmental model impact on collision and throughput efficiency for varied environment and thus helps improving QoS for VANET application.
Baggage Claim in Airports using Near Field Communication
Authors: Renardi Mikhael Bagus , Kuspriyanto Kuspriyanto , Basjaruddin Noor Cholis , Prafanto Anton
Published: January 2019

The popularity of public transportation has increased as infrastructures have been repaired and other supporting facilities have been added. One of the facilities which can be added in the transportation system is the implementation of Near Field Communication in order to accelerate each transaction in the transportation system. In airports, transaction activities need to be done efficiently, like claiming baggage at the baggage carousel. The speed of transaction to claim the baggage depends on the number of officers, passengers, and the amount of baggage brought by the passengers. In the conventional system, the most effective way of getting the maximum speed of transaction is to have officers as many as the number of passengers, but this is not efficient regarding the use of human resources. The use of Near Field Communication can solve the problem related to the efficiency of resources, safety, and the increasing speed of transaction.
A Big Data Security using Data Masking Methods
Authors: R A Archana , S Hegadi Ravindra , T N Manjunath
Published: January 2019

Due to Internet of things and social media platforms, raw data is getting generated from systems around us in three sixty degree with respect to time, volume and type. Social networking is increasing rapidly to exploit business advertisements as business demands. In this regard there are many challenges for data management service providers, security is one among them. Data management service providers need to ensure security for their privileged customers in providing accurate and valid data. Since underlying transactional data have varying data characteristics such huge volume, variety and complexity, there is an essence of deploying such data sets on to the big data platforms which can handle structured, semi-structured and un-structured data sets. In this regard we propose a data masking technique for big data security. Data masking ensures proxy of original dataset with a different dataset which is not real but looks realistic. The given data set is masked using modulus operator and the concept of keys. Our experiment advocates enhanced modulus based data masking is better with respect to execution time and space utilization for larger data sets when compared to modulus based data masking. This work will help big data developers, quality analysts in the business domains and provides confidence for end-users in providing data security.
Survey of Detection SIP Malformed Messages
Authors: Azrour Mourade , Ouanan Mohammed , Farhaoui Yousef
Published: January 2019

Session Initiation Protocol (SIP) is an application layer protocol designed to control and establish multimedia sessions over internet. SIP gaining more and more popularity as it is used by numerous applications such as telephony over IP(ToIP). SIP is a text based protocol built on the base of the HTTP and SMTP protocols. SIP suffers from certain security threats which need to be resolved in order to make it a more efficient signaling protocol. In this work, we review the proposed works aimed to detect SIP malformed messages that can cause security problem. Then, we classify the type of malformed SIP message and compare between the mechanisms used to reinforce the detection of malformed SIP message attack.
Distributed Cache with Utilizing Squid Proxy Server and LRU Algorithm
Authors: Ghofir Abdul , Ginanjar Rikip
Published: January 2019

In relation to the dissemination of information, the Internet is one of the fastest media to do so. The internet’s presence is growing very swiftly and rapidly, so it has become recognized by people from all walks of life. For that, the people need the appropriate way to maintain effectiveness in the use of the Internet. The following paper describes a study of the distribution of the cache, which is performed by the squid proxy server by creating a storage network design on Linux. Cache documents that are stored in the proxy server will be distributed to another over a network storage server. The process of caching on the proxy server is using the Least Recently Used (LRU) Algorithm. This research was carried out by developing the existing method of caching server process, then it is to be added a unit as a backup storage device for the data that must be erased because of the replacement policy applied to the squid proxy server. This study is looking at how the hit ratio and byte hit ratio after adding the storage server compared to not having a storage server. At the end of this research, it is concluded that the distributed cache processes a hit ratio and byte hit ratio higher than the cache on the current proxy server.
An Electromagnetic Moment in Short Circuits in Electrical Rotating Machines with High-Coercivity Permanent Magnets
Authors: Ismagilov Flyur , Khayrullin Irek , Vavilov Vyacheslav , Ayguzina Valentina
Published: January 2019

This paper presents a computer model of an electrical rotating machine with high-coercivity permanent magnets and research of various short-circuit types in the electrical rotating machine with high-coercivity permanent magnets, including turn-to-turn short circuit. Diagnostic criteria of short circuits are revealed. There are the electromagnetic moment and the magnetic flux density in the stator core back. With comparison the experiment and computer modeling results, it was found that the created computer model is highly accurate and completely repeats the experiment results. The numerical discrepancy between the experimental data and the simulation data is below 5%. The obtained results can be used in practice in the design of the electrical rotating machine with high-coercivity permanent magnets.
Thermal and Electrical Study for PV Panel With Cooling
Authors: Syafiqah Z. , Irwan Y.M. , Amin N.A.M. , Irwanto M. , Leow W.Z. , Amelia A.R.
Published: January 2019

Paper presents an investigation on photovoltaic (PV) panel with a direct-current (DC) fan cooling system. The DC fan cooling system was installed at the back of PV panel in order to reduce its operating temperature. The performance of PV panel can be affected with the increase of its operating temperature. Therefore, with the aid of the DC fan cooling system, it can enhance the performance by raise the output power generated. However, DC fan cooling system is considered as an active cooling system, whereby it consumes input power in operating it. The thermal behavior of PV panel with different DC fan speeds were observed by using a computational fluid dynamic (CFD) software. From the temperature obtained, a current-Voltage (I-V) and power-voltage (P-V) can be formed by using PSPICE due to examine its electrical performance. As the DC fan speed increases, the power input to operate it also increase. Hence, it is crucial to find the optimum speed so that the power generated by PV panel that can be saved is high.
Qualitative Analysis of Recognition-based Graphical Password Authentication Schemes for Accessing the Cloud
Authors: Gangadhara Rao K , Rodda Vijayakumari , Basaveswara Rao B
Published: January 2019

Cloud computing is increasingly becoming popular as many enterprise applications and data are moving into cloud platforms. However, a major barrier for cloud application is real and perceived lack of security. There are many security mechanisms exercised to utilize cloud services. Amongst them the prominent and primitive security mechanism is the Authentication System. Traditional text based passwords are susceptible to threats. Tough passwords are hard to recall and easily recalled passwords are simple and predictable. Graphical passwords are introduced as the better alternative. Two types of graphical passwords are there – recall based and recognition based. This research reviews several Recognition-Based Graphical Password methods and analyses their security based on the estimation criteria. Moreover, the research defines a metric called a 14-point scale that would make it possible for the qualitative analysis of the graphical passwords schemes. 
Sign Detection Vision Based Mobile Robot Platform
Authors: Mohd Shah Hairol Nizam , Ab Rashid Mohd Zamzuri , Kamis Zalina , Mohd Aras Mohd Shahrieel , Mohd Ali Nursabillilah , Wasbari Faizil , Muhammad Mahfuz Tengku Anuar Tengku
Published: January 2019

Vision system applied in electrical power generated mobile robot to provide a comfortable ride while providing comfort to tourist to interact with visitors. The camera is placed in front of the mobile robot to snap the images along in pathways. The system can recognized the sign which are right, left and up by using Harris corner algorithms and will be display in Graphical User Interface (GUI). A sign can be determined from the vertex coordinates according to the degree to distinguish the direction of the sign. The system will be tested in term of percentage of success in Harris point detection and availability to detect sign with different range. The result show the even though not all Harris point in an image can be detected but most of the images possible to recognise it sign direction.
Mobile Ad Hoc Networks in Presence of Black Hole Attack
Authors: Murdan Anshu Prakash , Bhowon Anshuman
Published: January 2019

This paper analyses three performance metrics namely average throughput, average network load and average video conferencing packet end-to-end delays under the influence of black hole attack in a Mobile Ad Hoc Network, using the ad hoc on-demand distance vector routing protocol. The simulation was carried out on Riverbed Modeler Academic Edition software. Simulation results show that the average throughput, average network load and average video conferencing packet end-to-end delay decreases as the number of black hole attack nodes is increased. Also, the effects of the influence of black hole attack nodes tend to decrease due to mobility of the nodes. It was observed that when the destination nodes move closer to the source nodes and get in to the latter’s transmission range, the effects of the black hole attack is greatly minimized.
Power Loss Minimization in Radial Distribution Networks Using Reconfiguration and DGs
Authors: Nawaz Sarfaraz , Kumar Bansal Ajay , Prasad Sharma Mahaveer
Published: January 2019

A novel approach is proposed in this paper to achieve the objective of real power loss minimization and voltage profile enhancement. Network reconfiguration and allocation of various DG units are used to meet the objective. Selective particle swarm Optimization (SPSO) and novel analytical techniques are used to solve the problem of network reconfiguration and allocation of DG units simultaneously.  A new constant, Power Voltage Sensitivity Constant (PVSC), has been proposed to solve the allocation problem. The formulated mathematical expression (PVSC) determines site and size of DG units.  The level of DG penetration is considered in a range of 0–50% of total system load. A novel index is also proposed which incorporates level of DG penetration and % reduction in real power losses. Standard 69 bus system is used to validate the results obtained by proposed hybrid approaches. To show the efficacy and strength of the proposed hybrid approach, it has been compared with various techniques
Artificial Neural Network Application for Thermal Image Based Condition Monitoring of Zinc Oxide Surge Arresters
Authors: Novizon Novizon , Abdul-Malek Zulkurnain , Aulia Aulia
Published: January 2019

Manual analysis of thermal image for detecting defects and classifying of condition of surge arrester take a long time. Artificial neural network is good tool for predict and classify data. This study applied neural network for classify the degree of degradation of surge arrester. Thermal image as input of neural network was segmented using Otsu’s segmentation and histogram method to get features of thermal image. Leakage current as a target of supervise neural network was extracted and applied Fast Fourier Transform to get third harmonic of resistive leakage current. The classification results meet satisfaction with error about 3%.
An Fundamental Current Reference Control Strategy for DSTATCOM under Various Load Situations
Authors: CH Sri Prakash
Published: January 2019

Effort for power quality enhancement is gradually raised in power transmission and distribution system. In a distribution system, it is a pre-requisite consumer related concern which is addressed by evading the mis-operation of massive power electronic load apparatus. Due to this, voltage/current harmonic distortions are acquired at common coupling point, which influences the disruption of quality power in a distribution system. A reliable and efficient active power conditioner is utilized for acquiring the power quality features in a three phase distribution system with attractive control objective. Over the classical conditioning techniques, a D-STATCOM plays a key role in a distribution system for power quality enhancement. Formal control objectives are adversed with incredible switching losses due to extreme harmonized frequencies in a reference current component. This paper proposes the imperative reference current extraction scheme for optimal functioning of DSTATCOM with reduced switching losses and gaining the incredible efficiency. The validation of DSTATCOM with proposed control strategy under several load situations (linear/non-linear & balanced/un-balanced) is evaluated by using Matlab/Simulink platform and simulation results are conferred.
Load Disturbance Rejection Based PID Controller for Frequency Regulation of a Microgrid
Authors: Kumar Badal , Bhongade Sandeep
Published: January 2019

Today’s world is very much concerned to reduce green house gas emission from the conventional thermal power plants as cutting down emissions from transport and heating sector may not be realistic in the near future. To reduce pollution from electrical power sources, the world is now marching towards usage of renewable energy sources (RESs). These sources being small in capacity are mostly connected at the distribution voltage level. This indirectly reduces transmission and distribution losses as the sources are around the load. This distribution system having small scale energy sources is called as a microgrid or active distribution network. Microgrid operates generally in a grid connected mode. However, circumstances such as fault, voltage sag and large frequency oscillations in the main grid may force the active distribution network to be disconnected from the main grid and operate as an isolated microgrid . During this isolation there will be change in power output from the controllable microsources which are to be regulated properly to have a stable operation in regard to power balance and frequency of operation within the isolated microgrid. An autonomous isolated microgrid comprising both controllable & uncontrollable sources. Like solar, wind, diesel generator(DG), aqua electrolyzer(AE), fuel cell(FC),  a battery energy storage system(BESS), and fly wheel(FW) are considered. Solar, wind, DG and FC are power generating source & BESS, FW, AE as energy storage element. The generated hydrogen by an AE is used as fuel for a FC. The power system frequency deviates for the sudden change in load demand and the real power generation. The output power of DG,  FC, BESS, FW and power absorbed by AE is regulated by using controller such that frequency of the system is controlled. Controller used is proportional plus integral plus derivative (PID). Load Disturbance Rejection(LDR) is used for tuning of controller gains of the proposed hybrid system. This uses the chien-hornes-resnick(CHR) setting with 20% overshoot. Design of p-f droop(frequency regulation parameter) for different controllable source in microgrid using bode plot stability criterion. The system response with Modified LDR based controller, LDR based controller and classical controller are compared. Investigation shows that Modified LDR based controller gives best response amongst these three methods.
Enhancing the LVRT Capability and Mitigation of Power Quality Issues Using UPQC of a Grid Connected Wind Conversion System
Authors: Boopathi C.S , Selvakumar Kuppusamy , Dutta Avisek
Published: January 2019

In this paper unified power quality conditioner has been used to enhance low voltage ride through capability of grid connected wind conversion system taking Doubly fed induction generator (DFIG). Unified Power quality conditioner (UPQC) device is a combination of series active filter and shunt active filter. This custom power device is mainly used to mitigate power quality issues which is an essential factor today because of wide application of power electronics devices. UPQC is capable to deal with voltage and current imperfection simultaneously. It is installed in the system mainly to improve the power quality i.e. Voltage sag/swell, Harmonics, reactive power compensation etc. at point of common coupling. System is modeled in MATLAB/SIMULINK and results shows utilization of UPQC for the enhancement of LVRT of a DFIG wind system according to Grid code. when fault occurs in the system, it will create voltage dip and series compensator of UPQC injects during this time to prevent disconnection from grid and stay connected to contribute during fault. UPQC is also used for fast restoration of system steady state, power factor improvement, prevent rotor over current.