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...

The cloud radio access network (C-RAN) is a new generation centralized collaborative base station (BS) growth over a traditional data center for handling voices, videos and data services over a single platform. The C-RAN uses virtualization and cloud computing technology for handling both real and non-real time data. The C-RAN consists of a distributed RF unit and a centralized baseband unit (C-BBU) which performs data processing and controlling activity. As the BBU-Pool consists of a set of ...

Tool Vibration induced in boring operations not only deteriorates the surface finish of workpiece but also adversely affects tool life and produce noise during the machining operation. Thus, it is essential to suppress these unwanted vibrations. Before applying any damping technique to suppress the chatter, it is necessary to know the behavior of the conventional tool. Therefore, in this paper, a traditional boring bar is modelled as a cantilever Euler-Bernoulli beam for which the first mode ...

Internet of Things (IoT) is a remarkable innovation where all the physical articles are associated over the web and are dispensed with a unique self-recognizing capacity to find other potential items to transmit information. However, the secure communication is a challenge among the IoT devices and detecting the compromised node form network is also difficult. In this paper, a key based communication model with different user groups has been proposed. To communicate among the user groups a gatewa...

There is a confocal attention of the multifunctional material science and condensed matter physics research community to the room temperature (RT) magnetoelectric multiferroics through past several decades for its novel physical and chemical properties. Materials with substantial coupling at RT are still an unsaturated problem in the field of condensed matter physics. Apart from searching new magnetoelectrics, enhancement of the coupling as well as physical properties by manipulating the size...

This paper implements various control strategies on a quadruple tank system, it also discusses about interacting behavior of tank systems. The system considered is a quadruple tank system with flow rates of two tanks considered as manipulated variable and liquid level in the tanks are considered as controlled variable. Process transfer function is obtained through open loop response and controller parameters have been calculated using various tuning methods to establish a closed loop control ...