Mass loss is a very important phenomenon for the co-evolution of massive stars (M > 8Msun) and their environment, yet it is poorly understood. It plays an important role throughout the stellar evolution and it may have a deciding influence on the outcome of core collapse. Mass loss phenomena help in determining the final mass of the star as well as any changes to the angular momentum during its evolution processes, both of which are both key parameters that decide the outcome of the star's...

Portability is setting the stage for how individuals lap up online media content. Cloud computing has stirred incredible enthusiasm from both scholarly world and in the technical arena quite recently. Because of Service Level Agreement (SLA), the cloud service providers need to ensure the unwavering quality of their frameworks. Nonetheless, erratic equipment or programming disappointments are generally inescapable. For realtime undertakings, failure of the entire system may make them miss the...

Software Defect Prediction (SDP) is the most practically used approach in the testing phase of the software development life cycle (SDLC) which helps to find out the defected module prior to testing or releasing the product. This study intends to predict the defects through an improved Heterogeneous Defect Prediction approach based on Ensemble Learning Technique which consists of 11 different classifiers. This study analyses the way Ensemble Learning technique which includes the combination...

Accurate iris movement detection and tracking is an important and widely used step in many Human-computer interactive applications. Among the eye features, eye corners are considered as stable and reliable reference points to measure the relative iris motion. In real time scenarios, the presence of spectacles prohibit the current state-of-the-art methods to yield accurate detection as the appearance of eye corners changes considerably due to the glare and occlusion caused by them. We term thi...

Distributed Denial of Service(DDoS) attacks have become most important network security threat as the number of devices are connected to internet increases exponentially and reaching an attack volume approximately very high compared to other attacks. To make the network safe and flexible a new networking infrastructure such as Software Defined Networking (SDN) has come into effect, which relies on centralized controller and decoupling of control and data plane. However due to it’s centralized...

This study intends to predict the trends of price for a cryptocurrency, i.e. Ethereum based on Deep Learning techniques considering its trends on time series particularly. This study analyses as how Deep Learning techniques such as Multi-layer perceptron (MLP) and Long Short-Term Memory (LSTM) help in predicting the price trends of Ethereum. These techniques have been applied based on historical data that were computed per day, hour, and minute wise. The data set is sourced from the CoinDes...

The centralization and virtualization of baseband unit (BBU) in cloud radio access network (C-RAN) make the BS platform more scalable and flexible. The C-RAN is a next-generation collaborative RAN architecture develop using cloud computing and virtualization technology. C-RAN provide different radio services over a single platform. In comparison to the traditional BS, the architect of C-RAN has two distinct parts, i.e., a centralized Control Unit (CU) and a distributed unit (DU) known as Remot...

We present detailed photoionization models of well-aligned optically thin C III absorption components at 2.1 < z < 3.4. Using our models we estimate density (nH ), metallicity ([C/H]), total hydrogen column density and line-of-sight thickness (L) in each C III components. Our inferred nH and overdensity (∆) are much higher and favor the absorption originating from gas associated with circumgalactic medium (CGM) and probably not in hydrostatic equilibrium. We show L vs. [C/H] correlation can b...

Software Defined Networking is the innovation in the network which allows us to manage the network dynamically in an efficient way. Ternary Content Addressable Memory (TCAM) is being used by the OpenFlow switches because it is faster look-up. However, it is very costly, and also the number of flow entries accommodated in it is less due to its limited size. So to take full advantage of the TCAM, we need to maximize the flow table utilization. To improve the TCAM allocation, This paper emphasi...

Internet of Things (IoT) applications is several interconnected services. Fog Computing provides a distributed platform to data processing and resource provisioning for IoT services. Ensuring Quality of Services (QoS) in terms of energy and low-latency for these services is essential. Deploying IoT services in the Fog computing infrastructure is a difficult process due to heterogeneous Fog nodes. In this paper, we introduced the service provisioning problem in heterogeneous fog computing env...

Software Defined Networking (SDN) is a promising area in the modern network technology giving a lot of advantages to the network operators such as programmability, high flexibility, and controllability. The control’s logic is moved into a centralized remote controller. In a wide area network with multiple controllers, the number and placement of these may influence the reliability and performance of SDN. In case of controller failure, the disconnected switches must be reassigned to other wor...

Presence of tumors in breasts have lead to possibility of occurrence of cancer in a global level. It’s diagnosis is one of the challenging tasks. Researchers have come across a technique named thermography, which overcomes the drawbacks of a conventional technique i.e., mammography. In thermography, the early diagnosis of the breast cancer is carried out by implementing an analytical infrared thermal imaging techniques. This work focuses on different features-based machine learning technique...

Wireless Body Area Network(WBAN) is an ongoing technology for continuously monitoring the health conditions of a patient. It is a wireless network consisting of various lowpowered physiological sensors and a hub placed strategically on a human body. Each sensor sends physiological data in the form of frames using a medium access control (MAC) protocol to the hub. In turn, the hub relays the physiological data to the physician/doctor’s monitoring device through an access point over the Interne...

Change detection deals with the problem of detecting changes that have occurred between various multitemporal satellite images. This issue can be accomplished by measuring the similarity among these images. Therefore, in this paper, a very simple and effective change detection technique based on mutual information (MI), which is used as a similarity measure tool between two variables in statistics, is proposed. Herein, spatial neighborhood information around each pixel is exploited to get the...

This paper proposes a feature fusion technique for unsupervised change detection. Features extracted from two different techniques are fused to get the final feature vectors. The first technique utilizes the Gabor wavelet at multiple orientations and scales, where maximum magnitude over all orientation in each scale is taken to create features of two multitemporal satellite images. The second technique applies canonical correlation analysis (CCA) on the combination of original multispectral ...

Application of machine learning techniques for fraud detection in the credit card operations has been an important component of research in the domain of digital transactions. The evolution of various machine learning techniques like classification and clustering have shown the requirement for application of related algorithms in detecting frauds of credit card transactions. In this study, we have proposed the application of various classification techniques by using machine learning algorit...

With the emergence of multidisciplinary subjects and research in different domains, managing information and research data has become difficult task and important concern for higher educational universities and research institutions. To handle this challenging task, several data management platforms have also emerged. This paper mainly focusses on current practices the workflow of managing research data and identify the different stakeholders and further comparing two-well-known open source r...

In this paper I will argue that transgender narratives in India, when read with in the Context of women's and gender studies, will make the discipline of Gender Studies inclusive and it will slowly generate a new discipline called Transgender Studies like its western counterpart. Taking instances from recent transgender autobiographies, I shall highlight that transgender narratives domesticate pan-Indian epic tradition to rehearse gender stereotypes, yet in seeking its alternatives they free ...

Adaptive system identification is an active area of research in the field of signal processing due to the fact that it updates the unknown parameter of the filter using a suitable adaptive algorithm. Due to great advancements in digital signal processors in terms of high speed and low power consumption, adaptive algorithms are able to calculate the parameters of interest very fast with reduced complexity. Taking one of the practical aspect of adaptive algorithm such as convergence speed, man...