bluuebunny/crossref_metadata_2025_split huggingface dataset:
Linear phase FIR filter to compute fetal heart rate variability
Authors: Marchon Niyan , Naik Gourish 
Published: July 2019

Continuous monitoring of fetal heart rate (FHR) can detect the well-being of the fetus and thus indicates non-reassuring fetal status. In- vasive fetal electrocardiography (FECG) using the fetal scalp electrode applied to the fetus scalp allows accurate detection of fetal QRS (FQRS) complexes, however with a risk of infection to the fetus. We have proposed a non-invasive fetal heart rate (NIFHR) filtering technique employing finite impulse response (FIR) filters. We applied Fast Fourier Transform (FFT) to the Physionet abdominal ECG (aECG) records and derived the fiduciary edges of the spectrum of the FECG. A FIR band pass filter (BPF) is designed which is a com- posite filter consisting of a high pass filter (HPF) followed by a low pass filter (LPF) in that order. The cut off frequencies of these com- posite filters are the fiduciary edges of the fetal electrocardiography spectrum. A FQRS detector to obtain fetal heart rate variability (FHRV) processes the FQRS signal filtered through these composite FIR filters. It is observed that channel 4 from records r01 and r08 obtained 100% results for sensitivity, positive predictive value and accuracy while, the overall accuracy was 92.21%. This design can also be extended to compute maternal heart rate.Â Â
A way to support the transformation methods for the data in a semantic network
Authors: E. Wolfengagen Viacheslav , Yu. Ismailova Larisa , V. Kosikov Sergey 
Published: July 2019

The paper considers the problem of building of the transformable object-relation mapping. It is shown that an essential part of the task is to get the conversion of data objects doing their representation adjusted for the corresponding data model. It is offered to receive the de- cision by a semantic method in case of which the formal models of object system and relational system are considered and their interpre- tations are set. The transformation mappings are considered as a kind of mappings saving interpretations of the given form. Creation of model of converting of data objects on the basis of applicative computing systems is offered what allows to build models of both object, and relational systems dipping in applicative structures with the given means of expression, in particular, to use a lambda-algebra or a lambda model. On this basis the models can be received allow compositions of means of converting and also determination and check of global restrictions for the changes of data determined by the given set of methods of converting. Achievement of flexibility requires use parameterization of the considered construction, i.e. support of dependence of a set of available methods of interpretation on parameters as which semantic characteristics of processed data appear. The prototypes of constructions of models have been used for informational legal supporting of implementation of the best available technology (or just BAT) in practice in Russia.Â Â
Analysis and tracking of animal movements through granulation of temporal domain (GTD)
Authors: Rawat Neelam , S. Sodhi J. , K. Tyagi Rajesh 
Published: July 2019

Thanks to technological advancement in tracking systems, observing the moving patterns of a population is easier now. Capturing the movement patterns is mostly done through various tracking technologies like GPS, GIS etc. but these tracking systems basically require one or more combination of the same, and also, a node or tag to be placed on the moving object. Tracking of movement patterns basically employs a motion model which describes how the image of the object might change in different possible positions of the object during video surveillance. To track multiple objects without deformation during movement, the granulation of temporal domain (GTD) is pro- posed.GTD method is for demodulation of granule adaptation of video image segmentation on the basis of granular computing methodology. In image segmentation, i.e., image granulation through temporal domain, it improves the quality of surveillance important for wild-life protec- tion, and decision making in terms of security.Â Â
A survey on vision based techniques for detection and classification of fruit diseases
Authors: Kour VipponPreet , Arora Sakshi , Pal Singh Jasvinder 
Published: July 2019

Indian economy depends heavily on its agriculture system. Horticulture sector has a major share in Indian agrarian economy. Therefore for agriculture industry to grow, the effective growth and improved yield of fruits is necessary. Diseased fruit production lays down various sensitive issues that can create various crises including reduced exports. To tackle such situations farmers need manual monitoring of fruits in all the development phases till harvest. But manual monitoring may not always give satisfactory results, owing to the subjective nature of the process. In order to reduce this stress, the technological support for such monitoring of fruit diseases was introduced. Image processing is one of the widely accepted areas for fruit disease detection and classification. With accurate disease diagnosis, the proper control actions can be taken at appropriate time. This paper is intended to aid in the analysis of various techniques and methodologies used in fruit disease detection so far.Â Â
Folded monopole antenna with CSRRS for tri-band applications
Authors: Gangwar AK. , Alam MS. 
Published: July 2019

In this paper, a miniaturize folded monopole antenna with complementary split ring resonator (CSRR) is proposed for tri-band applications. In the design procedure of the antenna, first a single band monopole antenna is designed for 2.88 GHz. For design a single band to dual band, the both arms of the radiating element (i.e. Monopole) is folded then it is resonated at 2.68GHz and 5.15GHz resonance frequencies, the resonance of the lower frequency is based on length of the monopole and higher order resonance is excited due to its folding effect. In order to extend its resonances for tri-band operation, the two identical size CSRRs (one on the left and another on the right from the feed line) are placed on the ground plane of the edge of the folded monopole, thus the entire structure is resonated at 2.47 GHz, 3.46GHz and 4.36 GHz frequencies. A simplified equivalent circuit model is developed for understanding its electrical behavior. Therefore, the proposed antenna has been suitable for WLAN, WiMAX and C-band applica- tions.Â Â Â
Centrality measure based approach for detection of malicious nodes in twitter social network
Authors: Das Krishna , Kumar Sinha Smriti 
Published: July 2019

In this short paper, network structural measure called centrality measure based mathematical approach is used for detection of malicious nodes in twitter social network. One of the objectives in analysing social networks is to detect malicious nodes which show anomaly behaviours in social networks. There are different approaches for anomaly detection in social networks such as opinion mining methods, behavioural methods, network structural approach etc. Centrality measure, a graph theoretical method related to social network structure, can be used to categorize a node either as popular and influential or as non-influential and anomalous node. Using this approach, we have analyzed twitter social network to remove anomalous nodes from the nodes-edges twitter data set. Thus removal of these kinds of nodes which are not important for information diffusion in the social network, makes the social network clean & speedy in fast information propagation.Â Â Â
Measuring and maintaining acceleration records obtained from 3D MEMS
Authors: Ravali K. , ASR.Murty Dr. , Pavani V. , Prathyusha B. 
Published: July 2019

Tracing or tracking of an object or a link is needed in many engineering applications. Achieving it in real time applications using MEMS or the traditional accelerometers is also a well-known method. Measuring acceleration in [3] directions is needed in handling equipment, material transfer and in manufacturing industry.In this work, Calibration of accelerometer sensor ADXL335 is carried out first to show the accurate values of â€žgâ€Ÿ. Then, the measurement of acceleration is carried out as per the code written in Arduino IDE. ADXL335 is interfaced with NODE MCU. NODE MCU uses HTTP protocol to send the measured acceleration values to cloud platform. ThingSpeak is the cloud platform chosen for this purpose. ThingSpeak requires selection of a number of fields. Here we have three values to be taken to cloud (X, Y and Z directions).For display purposes a mobile is used in conjunction with MIT App Inventor. Acceleration record files can be obtained that may be processed further. The application contains three buttons forward, side and vertical which displays the acceleration values across X, Y and Z directions respectively. The acceleration values are further integrated to obtain velocity and displacement .It can be done through 2 ways like ana- log integration and digital integration. But the analog integration is reliable only to measure the sinusoidal steady state values. So the digital integration is much better for obtaining a displacement signal from acceleration. It is possible to use these components for further processing and applications like ultrasonic applications, military devices namely mixers, elevators, mechanically handling equipmentâ€Ÿs and information handling devices like iPad, phones etc.Â Â
Investigation on properties of part fabricated by selective laser sintering (SLS) process
Authors: Soundrapandian E. , SenthilKumar G. , Tajdeen A. , Vivekkumar P. 
Published: July 2019

Additive manufacturing (AM) can be used without the need of any moulds or tooling, and are very suitable for manufacturing one-piece or small batches of with complex external shapes and internal structures within a short lead time, which are difficult to make or even cannot be fabricated by the tooling and machining processes. The manufacturing of metal parts by sand casting method is a tedious process when considering low volume manufacturing where it took lot of time, design cost, material cost etc., In this paper, the web gland component has been prepared using stainless steel by varying the different process parameters such as scan spacing, laser power and layer thickness in selective laser sintering (SLS) process. By using vickers hardness tester, the hardness and the microstructure of component also analyzed and it is compared with the same component properties prepared by using sand casting process. From the comparative result, it was found that the hardness of material increases by 12.5% on sintered part than casting part.Â Â
Attribute Based Image Retrieval and Segmentation using On-tological Approaches
Authors: Mamatha Ch , V. Anandam Dr. , Chatterjee Priyadarshini , Vijaya Kumari Hepshiba 
Published: July 2019

Content based image retrieval is gaining more and more importance as it is an apt approach to retrieve an image. The image is retrieved based on certain texture. Ontology is a branch of Meta Physics that helps in analyzing an input image based on certain textures. Ontology helps to retrieve an image based on its properties. Ontology describes a domain. With that domain, we can proceed further to understand the relation between the features present in the domain. There are biological-ontologies to analyze biological outcomes. The field of information technology can be combined with biological ontology to study the results of different biological effects. With the systematic concept of ontology that includes rules, classes, relations etc we can understand an image better that eventually helps in accurate image retrieval. Ontology can be generic or domain specific. In this paper we will be using domain specific ontology used to analyze the features of digital images along with image segmentation to retrieve an image. We will be testing our proposed system using the colored images of mammals. In case of image segmentation we will using the general techniques already existing.Â Â
Towards Cloud of Things from Internet of Things
Authors: Vaishnavi D. , Rahman Shawon , Ramalingam D. 
Published: July 2019

The techniques Internet of things (IoT) and Cloud Computing (CC) are becoming a part of our day-to-day life; where IoT connects a billion numbers of devices to share the information by communicating each other and CC grants convenient, on-demand scalable network access in order to utilize the computing resources and it facilitates dynamic data integration from diverse sources. Both techniques are having their own pros and cons. So, a novel paradigm called cloud of things (CoT) is modeled by integrating the both CC and IoT, which enables a large number of applications to get advantages of IoT as well as CC. This paper delivers the basics of the technologies, motivations to model the cloud of things and its benefits. Also, it discusses the implementation challenges.Â Â
A dynamic programming approach to manage virtual machines allocation in cloud computing
Authors: Ouammou Abdellah , Hanini Mohamed , Ben Tahar Abdelghani , El Kafhali Said 
Published: July 2019

As a result of the dynamic nature of Virtual Machine allocation in cloud computing, it is not easy to manage system resources or choose the best configuration based solely on human experience.Â In this work, we used stochastic modelling instead of comprehensive experiments to evaluate the best resource management of the system. In such complex systems, choosing the best decision is a challenge, for this reason we have designed a heuristic algorithm, specifically, dynamic programming as a resource management and programming tool that finds a way that attempts to satisfy the conflicting objectives of high performance and low power consumption. As a scenario for using this algorithm, we addressed the problem of virtual machine allocation, a subset of physical machines is designated as "reserve", and the reserves are actives when the number of jobs in the system is sufficiently high. The question is how to decide when to activate the reserves. The simulation results demonstrated the benefit of using our framework to identify the policy for consolidation or for a low energy consumption and in order to have a good quality of service in the system
Evaluating the QoS Cognizance in Composition of Cloud Services: A Systematic Literature Review
Authors: V L N Sujith A , A Rama Mohan Reddy Dr. , K Madhavi Dr. 
Published: July 2019

Enterprise level computing constantly investigates novel approaches that maximize their profits and minimize their expenses. With the rapid growth of cloud computing XaaS â€“ â€˜anything as a serviceâ€™, service providers are enabled with the rapid deployment of virtual services to service requestors. Because of the enormous growth in the variety of the services and based on the demand of the virtualized resources, cloud service providers are facing tough competition to facilitate the composite service requests made by the service requestors. QoS (Quality of Service)Â is considered to be a preliminary factor while composing a new cloud service out of heterogeneous and distributed atomic services. Therefore service composition is promising area that focuses on the design and development of the automated approaches to deal with diverse phases of service composition techniques that include service discovery, negotiation, service selection and optimization of the atomic services. This paper provides anatomy ofÂ existing studies addressing the problem of cloud service composition that enable to identify intended objectives of the technique along with diverse QoS aware problem solving approaches. Furthermore, the key areas of the improvement in cloud service composition are identified for future research.Â
Runtime Parallelization of Static and Dynamic Irregular Array of Array References
Authors: Singh Anjanaa Parwat , Naga Maruthia N. , Gujjunooria Sagar , Orugantib Madhu 
Published: July 2019

The advancement of computer systems such as multi-core and multiprocessor systems resulted in much faster computing than earlier. However, the efficient utilization of these rich computing resources is still an emerging area. For efficient utilization of computing resources, many optimization techniques have been developed, some techniques at compile time and some at runtime. When all the information required for parallel execution is known at compile time, then optimization compilers can reasonably parallelize a sequential program. However, optimization compiler fails when it encounters compile time unknowns in the program. A conventional solution for such problem can be performing parallelization at runtime. In this article, we propose three different solutions to parallelize a loop having an irregularity in the array of array references, with and without dependencies. More specifically, we introduce runtime check based parallelization technique for the static irregular references without dependency, Inspector-Executor based parallelization technique for static irregular references with dependencies, and finally Speculative parallelization technique (BitTLS) for dynamic irregular references with dependencies. For pro ling the runtime information, shared and private data structures are used. To detect the dependencies between footprints and for synchronization of threads at runtime, we use bit level operations. A window based scheduling policy is employed to schedule the iterations to the threads.Â Â Â
Sensors in IoE: A Review
Authors: Srinivas K. , A.Jabbar M. , S. Neeraja K. 
Published: July 2019

Internet of everything (IoE) is the popular technology in the industry. IoE platforms deliver various kinds of intelligence using sensors. Sensors are autonomous and work as smarter. In this paper we have portrayed the different types of sensors, with their applications in various domains. This paper also discusses the factors that determine the suitability of sensors, various challenges, and solutions for sensors in IoE.Â Â
Multi-Objective Optimization for scientific workflow task scheduling in IaaS Cloud
Authors: Panneerselvam Arunkumar , Subbaraman Bhuvaneswari 
Published: July 2019

The use of scientific applications on cloud networks increases day by day generating volumes of data and consuming large computational power. These scientific applications find its importance in the field of astronomy, geology, genetics and bio-technology etc. Complex and mission critical scientific applications can be modeled as scientific workflows and can be executed in cloud. The tasks of the scientific applications are generally data intensive and compute intensive. Traditional computer networks are not suitable for handling scientific applications and hence ubiquitous distributed networks like cloud are prominent in hosting scientific applications. The cloud hosted scientific applications and the cloud network need to satisfy many objectives to the interest of its users. This paper explores the multi-objective optimization applications in scientific workflow task scheduling in IaaS cloud and the related algorithms employed.
Harmonic cancellation in a Multi-level Inverter Configuration Suitable for PV Applications
Authors: Kumar Nallamekala Kiran , Venkat Raman K. , Asif Md. 
Published: July 2019

Multi-level inverters are playing a major role in PV based systems because of numerous advantages like low dv/dt, better harmonic profile so on. But, conventional multi-level inverters consist of some drawbacks like capacitor balancing issues, greater requirement of capacitor banks and clamping diodes. To address these issues, a novel multi-level inverter has been presented in this paper, which can function as a seven-level, five-level and three-level inverter. The inverter circuit utilizes six switching devices and two isolated DC voltage sources. Moreover, when it is operated as a three-level inverter, a unipolar PWM technique is applied to the circuit which shifts all the lower order harmonics to twice of switching frequency whereas in conventional multi-level inverters, all the harmonics of lower order are present around switching frequency. In addition, proposed inverter can operate even if some switching devices of the circuit fails. Also, the behavior of the inverter during the failure of some switching devices and DC source is analyzed. The proposed inverter is simulated in MATLAB/Simulink and the results are also discussed.
Conceptual ClusteringAnalysis in Data Mining: A Study
Authors: Nikhila K. , Manvitha P. 
Published: July 2019

Clustering on unsupervised learning handles with instances, which are not classified already and not having class attribute with them. Applying algorithms is to find useful but items on unknown classes. Approach of unsupervised learning is about instances are automatically making into meaningful groups basing on its similarity. This paper we study about the basic clustering methods in data mining on unsupervised learning such as ensembles distributed clustering and its algorithms.
Comparison of hard limiting and soft computing methods for predicting software effort estimation: In reference to Small Scale Visualization Projects
Authors: M Kiran Kumar T. , A. Jayaram M. 
Published: July 2019

It is a well known fact that software effort estimation is exceptionally critical in every software industry, particular during the development of projects. It is hard to estimate the parameters involved due to ambiguity and uncertainty associated with the parameters. It is exactly here the hard limiting techniques, soft computing techniques comes to play. In this unique circumstance, this paper, presents an attempt to that compare the two paradigms for effort estimation. For this, we have considered fifty real time small visualization projects thrive by post graduate students. The prototype development involves following stages: i) Elicitation of seven novel parameters namely Lines of Code, Cumulative Grade Point Average, New and changed code, Reused code, Cyclomatic Complexity, Algorithmic Complexity and Functional Points. ii) Developing of hard limiting methods and soft computing methods for prediction of software effort involved in terms of duration in minutes.For the validation of the models error metrics namely: Mean Absolute Error (MAE), Mean Magnitude of Relative Error (MMRE), Mean of Magnitude of error Relative to the Estimate (MMER) and Root Mean Square Error (RMSE) have been used. The result showed that the models compared very well with marginal difference in terms of predict values of error matrix.
Procurement Interaction Minimize Test Arrangement Formation of Software Testing Using Cuckoo Search Methods
Authors: Anandam Velagandula Dr. , Buddha  Reddy P. , Hanuman Reddy N. , Srikanth Reddy G. , Anil Ch 
Published: July 2019

As of late number of meta based heuristic algorithms are suggested to fill in as the premise of test era technique (where shows the interaction strength) embracing with Simulated Annealing (SA), Ant Colony Optimization (ACO), Cuckoo Search (CS), Genetic Algorithms (GA), Harmony Search (HS) and Particle Swarm Optimization (PSO). Albeit helpful methodologies are requiring particular area learning so as to permit successful tuning before great quality arrangements can be gotten. The multi-target molecule swarm optimization, and multithreading is utilized to overwhelm the compound judgement criteria for an ideal arrangement. The procedure and its related algorithms are assessed broadly utilizing diverse benchmarks and examinations. In our proposed technique test cases are advanced by utilizing Particle Swarm Optimization algorithm (PSO). At that point the streamlined test cases are organized by utilizing to enhanced Cuckoo Search algorithm (ECSA). As the quantity of inserted systems increments quickly, there has been developing interest for the utilization of Service Oriented Architecture (SOA) for some requests. At last, the enhanced outcome will be assessed by programming quality measures.