bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of framework for detecting smoking scene in video clips
Authors: Ghuli Poonam , N Shashank B , Rao Athri G 
Published: January 2019

<p>According to Global Adult Tobacco Survey 2016-17, 61.9% of people quitting tobacco the reason was the warnings displayed on the product covers. The focus of this paper is to automatically display warning messages in video clips. This paper explains the development of a system to automatically detect the smoking scenes using image recognition approach in video clips and then add the warning message to the viewer. The approach aims to detect the cigarette object using Tensorflow’s object detection API. Tensorflow is an open source software library for machine learning provided by Google which is broadly used in the field image recognition. At present, Faster R-CNN with Inception ResNet is theTensorflow’s slowest but most accurate model. Faster R-CNN with Inception Resnet v2 model is used to detect smoking scenes by training the model with cigarette as an object.</p><p><em><br /></em></p>
Solar PV fed non-isolated DC-DC converter for BLDC motor drive with speed control
Authors: RajaSekhar G. G , Banakar Basavaraja 
Published: January 2019

<p>Brushless DC motors (BLDC) are predominantly used these days due to its meritorious advantages over conventional motors. The paper presents PV fed BLDC speeds control system. A closed-loop interleaved boost converter increases the voltage from PV system to required level. Converter for BLDC operates at fundamental switching frequency which reduces losses due to high switching frequency. Internal current control method is developed and employed for the speed control of PV fed BLDC motor by sensing the actual speed feedback. Internal current controlled PV fed BLDC drive is analyzed with increamental speed with fixed torque and decreamental speed with fixed torque operating conditions. Also the system with speed control is verified for variable torque condition. The system is developed and results are developed using MATLAB/SIMULINK software.</p><p><em> </em></p>
Performance evaluation of cloud service with hadoop for twitter data
Authors: Panatula Ganesh , Kumar K Sailaja , Geetha D Evangelin , Kumar T V Suresh 
Published: January 2019

<p>In the era of rapid growth of cloud computing, performance calculation of cloud service is an essential criterion to assure quality of service. Nevertheless, it is a perplexing task to effectively analyze the performance of cloud service due to the complexity of cloud resources and the diversity of Big Data applications. Hence, we propose to examine the performance of Big Data applications with Hadoop and thus to figure out the performance in cloud cluster. Hadoop is built based on MapReduce, one of the widely used programming models in Big Data. In this paper, the performance analysis of Hadoop MapReduce WordCount application for Twitter data is presented. A 4-node in-house Hadoop cluster was setup and experiment was carried out for analyzing the performance. Through this work, it was concluded that Hadoop is efficient for BigData applications with 3 or more nodes with replication factor 3. Also, it was observed that system time was relatively more compared to user time for BigData applications beyond 80GB. This experiment had also thrown certain pattern on actual data blocks used to process the WordCount application. </p>
Securing SAAS service under cloud computing based multi-tenancy systems
Authors: Miriyala Trinathbasu , Sastry JKR 
Published: January 2019

<p><span lang="EN-US">Cloud computing technologies are being used by many who need computing resources such as software, platform and infrastructure as per their business requirements in terms of provisioning and pay for the usage as per actual consumption of the services based on the SLA signed by the user and cloud service provider. Software running on a physical machine is being provided as services to the end users. For the reasons of cost economies access to software that uses a database is being provided to multiple users. The access to the software is provided either directly or through a virtual machine. The software being provided as service uses the same database for many of the users who have requisitioned for the same. As a result, there could be encroachments by the users into the data of others. There is a need to secure the data belonging to several users while all of them access the data using the same application. In this paper an efficient method is presented for securing the data processed by software which is offered as a service to multiple users either directly or through virtual machines. </span></p>
Automated parking management system for identifying vehicle number plate
Authors: Singh Asha , Vaidya Prasanth 
Published: January 2019

<p>By using image processing, the Automated parking management system (APMS) to recognize the license plate number for efficient management of vehicle parking and vehicle billing. It is an independent real-time system, reduces number of people involvement in parking areas. The main aim of this system is to automated payment collection. This (APMS) system extract and recognize license plate numbers from the vehicles, then that image is being processed and used to generate an electronic bill. Generally in the parking lots heavy labor work is needed. This system used to decrease the cost of the labor and also enhance the performance of the APMS. This system is composed of vehicles license plate number extraction, character segmentation and character recognition. A proper pre-processing is done before extracting the license plate and it also generates the entry time and exit time of the vehicle and finally generates the electronic bill.</p>
An angle speed and thrust relationship of the rotor system in the quadcopter aircraft
Authors: Al Al , Dewi Arfita Yuana , Bachtiar Antonov , Harinita Dwi 
Published: January 2019

Utilizing Quadcopter were still many obstacles such as; plane easy to fall; the battery is not durable; vulnerable to weather conditions and others. The research and development has grown to improve aircraft facilities and capabilities. Many parameters related to aircraft lift capability factors; fly long; flying high; type of motor; the type of propeller: including the sensors and control systems used. This study was to find the relationship between changes in the BLDC motor voltage source to the rotor angle velocity <em>(ω)</em>; rotor speed to rotor lift <em>(Ft)</em>; wind speed to rotor lift; push the following rotor <em>(Ct)</em>. Empirical testing was conducted in the laboratory to find the relationship of these parameters. The results data show that; the lift power generated with rotational speed was not proportional, non linearity occurs when the rotor was released from the self and starts pulling the strain gauge when the rotation speed reaches around 65 <em>rps</em>. Once the rotation speed of the rotor is able to reach up to 1.5 Newton lift then the thrust rising trend sharply<strong> </strong>increasing <strong>to</strong>increasing <strong>of </strong>the rotor speed. A motor hade 1200 <em>KV</em> and blade with a radius of 0.12 <em>m</em>, then obtained thrust <em>(Ct)</em> of 1.732.
Wireless water quality monitoring system for high density aquaculture application
Authors: Saparudin F. A. , Chee T. C. , Ghafar A. S. Ab , Majid H. A. , Katiran N. 
Published: January 2019

<span>Water quality is one of the major factors that greatly affects growth and mortality rate of aquatic livestock especially in high density aquaculture system. Conventional method requires fish farmer to perform manual water quality test and record on multiple fish tanks in regular basis. This process is meticulous, and may affect aquatic livestock that needs close and immediate attention. In this paper, water quality monitoring system for the high density aquaculture environment is proposed. The monitoring system is composed of multiple sensor nodes and sensor/server node hybrid, which used to collect and manage the water quality parameter data of multiple tanks. The sensor nodes collect and store the water quality parameters in local database and transmit them to the server node through a wireless communication. The server node is used for data analysis, processing and allow public access via web browser through various Wi-Fi enabled smart devices. This paper presents a proof-of concept of clustered wireless monitoring system focused on the use of multiple sensor nodes to determine the water parameter in real time. This system is cost effective, quickly deployable, and user-friendly with wireless capabilities.</span>
A dynamic K-means clustering for data mining
Authors: Hossain Md. Zakir , Akhtar Md.Nasim , Ahmad R.B. , Rahman Mostafijur 
Published: January 2019

<span>Data mining is the process of finding structure of data from large data sets. With this process, the decision makers can make a particular decision for further development of the real-world problems. Several data clusteringtechniques are used in data mining for finding a specific pattern of data. The K-means method isone of the familiar clustering techniques for clustering large data sets. The K-means clustering method partitions the data set based on the assumption that the number of clusters are fixed.The main problem of this method is that if the number of clusters is to be chosen small then there is a higher probability of adding dissimilar items into the same group. On the other hand, if the number of clusters is chosen to be high, then there is a higher chance of adding similar items in the different groups. In this paper, we address this issue by proposing a new K-Means clustering algorithm. The proposed method performs data clustering dynamically. The proposed method initially calculates a threshold value as a centroid of K-Means and based on this value the number of clusters are formed. At each iteration of K-Means, if the Euclidian distance between two points is less than or equal to the threshold value, then these two data points will be in the same group. Otherwise, the proposed method will create a new cluster with the dissimilar data point. The results show that the proposed method outperforms the original K-Means method.</span>
Analysis theorem of unique common fixed point for four maps based on partial –b– metric spaces
Authors: Hasan Ban , Abbas Hayder Abdulameer 
Published: January 2019

<span class="s19">In this paper, An important definitions are to be used to prove the existence of a common fixed point theorem for four mappings incomplete, partial – b – metric spaces, as well as prove a unique common fixed point by assuming another point and getting that, these points are finally equal. We presented an example thus enhancing us the outcome.</span>
Black hole attack behavioral analysis general network scalability
Authors: Al Dulaimi Layth A. Khalil , Ahmad R. Badlishah , Yaakob Naimah , Yusoff Mohd Hafiz , Elshaikh Mohamed 
Published: January 2019

<span style="font-size: 9pt; font-family: 'Times New Roman', serif;">A mobile ad hoc network (MANET) is a frameworkless system of different mobile devices known for its self-arranging conduct. MANETs can convey over moderately data transfer capacity compelled routing connections. In a blackhole assault, a malicious node falsely advertises the shortest path to the destination node, intending to disrupt communication. Our objective was to review the impact of a blackhole assault on networks. To accomplish this, we simulated MANET situations, which include the blackhole node, using the OMNET++ simulator to demonstrate the effects of a single blackhole attack and multiple blackhole attacks on MANET performance have examined for networks. We analysed MANET performance under blackhole assaults through the use of performance grids.</span><table class="MsoTableGrid" style="width: 444.85pt; border-collapse: collapse; border: none; mso-border-alt: solid windowtext .5pt; mso-yfti-tbllook: 1184; mso-padding-alt: 0in 5.4pt 0in 5.4pt;" width="593" border="1" cellspacing="0" cellpadding="0"><tbody><tr style="mso-yfti-irow: 0; mso-yfti-firstrow: yes; mso-yfti-lastrow: yes; height: 63.4pt;"><td style="width: 290.6pt; border: none; border-top: solid windowtext 1.0pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; height: 63.4pt;" valign="top" width="387"><p class="MsoNormal" style="margin-top: 6.0pt; text-align: justify;"><span style="font-size: 9.0pt; color: black; mso-bidi-font-style: italic;"><span style="mso-spacerun: yes;"> </span>A mobile ad hoc network (MANET) is a frameworkless system of different mobile devices known for its self-arranging conduct. MANETs can convey over moderately data transfer capacity compelled routing connections. In a blackhole assault, a malicious node falsely advertises the shortest path to the destination node, intending to disrupt communication. Our objective was to review the impact of a blackhole assault on networks. To accomplish this, we simulated MANET situations, which include the blackhole node, using the OMNET++ simulator to demonstrate the effects of a single blackhole attack and multiple blackhole attacks on MANET performance have examined for networks. We analysed MANET performance under blackhole assaults through the use of performance grids.</span></p><p class="MsoNormal" style="margin-top: 6.0pt; text-align: justify;"><span style="font-size: 9.0pt; color: black; mso-bidi-font-style: italic;">.</span></p></td></tr></tbody></table>
Impact of clustering in AODV routing protocol for wireless body area network in remote health monitoring system
Authors: Abdullah Wan Aida Nadia Wan , Yaakob Naimah , Ahmad R. Badlishah , Elobaid Mohamed Elshaikh , Yah Siti Asilah 
Published: January 2019

<span>Proper selection of routing protocol in transmitting and receiving medical data in Wireless Body Area Network (WBAN) is one of the approaches that would help in ensuring high network performances. However, a continuous monitoring of health status through sensing of various vital body signals by multiple biosensors could produce a bulk of medical data and lead to the increase of network traffic. Occurrence of high traffic could result to network’s congestion which have high tendency to loss some of important (critical) data and cause longer delay that would lead to false diagnosis of diseases. In order to analyze and validate this issue, Ad-Hoc On Demand Distance Vector (AODV) which is known as reactive routing protocol is evaluated in WBAN scenario through varying number of nodes and clusters. The presence of clustering helps in reducing the burden of the sink nodes in handling high traffics. The network’s performances of this protocol are measured in terms of end to end delay, percentage packet loss, throughput and energy consumption using Network Simulator (NS-2). Based on the experimental results, the presence of cluster helps in improving network performances by achieving reduction in delay, packet loss and energy consumption. However, low throughput is achieved as number of clusters are increase due to low duty cycle of the nodes.</span>
Feature analysis for stage identification of Plasmodium vivax based on digital microscopic image
Authors: Nugroho Hanung Adi , Maysanjaya I Md. Dendi , Setiawan Noor Akhmad , Murhandarwati E. Elsa Herdiana , Oktoeberza Widhia K.Z 
Published: January 2019

<em>Plasmodium</em> parasite is identified to confirm malaria disease. Paramedics need to observe the presence of this parasite prepared on thick and thin blood films under microscope. However, false identification still occurs which is caused by human factor during the examination. Thus, malaria identification based on digital image processing has been widely developed to overcome the error possibility. This paper proposes a scheme to identify and classify the stages of <em>Plasmodium vivax</em> parasite on digital microscopic image of thin blood films based on feature analysis. Shape and texture features are extracted from segmented parasite objects. Feature selection based on wrapper method is then conducted to obtain relevant features which may contribute in improving the classification result. The classification process is conducted based on Naïve Bayes classifier. The performance of proposed method is evaluated using 73 digital microscopic images of <em>P.vivax</em> parasite on thin blood films comprising of 29 trophozoites, 10 schizonts and 34 gametocytes stages. By using six selected features including perimeter, dispersion, mean of intensity, ASM, contrast GLCM and entropy GLCM, the proposed scheme achieves the best classification rate with the accuracy, sensitivity and specificity of 97.29%, 97.30% and 97.30%, respectively. This indicates that the proposed scheme has a potential to be implemented in the development of a computerised aided malaria diagnosis system for assisting the paramedics.
Dielectric properties characterization of the rice and rice weevil for microwave heating treatment
Authors: Ibrahim Maliki , Abd Rahim Rosemizi , Mohd Nordin Junita , Abdul Nyzam Siti Zulaika , Amira Amatkhri Norzakiah 
Published: January 2019

This paper presents the dielectric properties characterization of the rice and rice weevil for microwave heating disinfestation treatment application. Infestations of insects in stored grain have become a major threat to food supply globally. It contributes to damage to the stored grain and had caused economic losses. The current method to control the infestation which is by using chemical fumigation could give harm to human health and cause environmental pollution. The ability of microwave energy to kill the insects using dielectric heating technique has a high potential as an alternative method to control the infestation of the insect. Knowledge of dielectric properties of the insects is important to understand the interactions of the insect with electromagnetic fields. Hence, this paper presents the evaluation of the dielectric constant, and dielectric loss factor, of the insects and grain using open- ended coaxial probe method. The dielectric properties of the rice weevil, <em>S. Oryzae </em>and rice are measured using an open-ended dielectric probe. Found that the dielectric constant, loss factor and loss tangent for both samples are inversely proportional to the frequency. Knowledge of the moisture content and temperature of the insects and rice is very important to characterize the dielectric properties for future development of microwave heating disinfestation treatment effectively.
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

<span lang="EN-MY">Due to the rapid scaling of </span><span>Complementary Metal-Oxide-Semiconductor</span><span lang="EN-MY"> (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 </span><span>-0.17505V </span><span lang="EN-MY">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<sup>-3</sup>Aand 3.23x10<sup>-4</sup>A 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.</span>
Performance Evaluation of Elliptical-Cylindrical Antenna Array using SaDE Optimized Hyper Beam
Authors: Lema Gebrehiwet Gebrekrstos 
Published: January 2019

<p>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.</p>
Content Based Image Retrieval using Feature Extraction in JPEG Domain and Genetic Algorithm
Authors: N Parvin , P Kavitha 
Published: January 2019

<p>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.</p><p> </p>