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Keyword: clusterSynthesis and Characterization of CN Thin Films Produced by DC-Pulsed Sputtering in an \(CH_3CH_2OH-N_2\) Atmosphere
This paper reports on the successful deposition of amorphous carbon nitride thin films (a-CNx). Samples were deposited using a DC-pulsed sputtering technique in CH3CH2OH-N2 atmosphere at constant pressure (1 Torr). Raman spectra were collected to investigate the bonding structure of the deposed thin films, while scanning electron microscopy (SEM) and atomic force microscopy (AFM) were…
Read MoreInnovations in Recruitment—Social Media
The main objective and contribution of the paper is to describe the creation of a model to support recruitment using social media information and its deployment in practice. The model includes the design of an automated solution for downloading social media data and a proposal for the subsequent analysis and creation of a predictive model…
Read MoreA Statistical Description of Students Admitted to Higher Education Institutions, Public and Private, in Albania for the Academic Year 2017-2018
This paper makes a statistical analysis of some indicators that characterize the environment of students admitted to public and private Institutions of Higher Education i.e. university level institutions, presenting an overview to the distribution of these students in the key areas of study that these institutions offer such as: Arts, Agriculture, Natural Sciences, Social Sciences,…
Read MoreOptimized Multi-Core Parallel Tracking for Big Data Streaming Applications
Efficient real-time clustering is a relevant topic in big data streams. Data stream clustering needs necessarily a short time execution frame with bounded memory utilizing a one-scan process. Because of the massive volumes and dynamics of data streams, parallel clustering solutions are urgent. This paper presents a new approach for this trend, with advantages to…
Read MoreA Survey of Big Data Techniques for Extracting Information from Social Media Data
Data mined from social media can be used in a variety of methods. The goal of this paper is to explore some of the various methods of mining data from social media and the different areas of its applications. From the analysis of other studies, it was clear that methods such as text analysis, classification,…
Read MoreApplication-Programming Interface (API) for Song Recognition Systems
The main contribution of this paper is the framework of Application Programming Interface (API) to be integrated on a smartphone app. The integration with algorithm that generates fingerprints from the method ST-PSD with several parameter configurations (Windows size, threshold, and sub-score linear combination coefficient). An approach capable of recognizing an audio piece of music with…
Read MoreStudents’ Preparedness to Learn in e-Learning Environment and their Perception on The MPKT Lecturers’ Readiness to Manage Online Class
This study has two objectives: to determine the level of readiness of first-year undergraduate students at the Universitas Indonesia (UI) and to investigate student’s perception of MPKT (Integrated Character Development course) lecturers’ readiness to manage online learning class. Proportional cluster sampling was applied, and 1466 freshmen from thirteen faculties participated. Data clustering and imputation of…
Read MoreEvent Modeller Data Analytic for Harmonic Failures
The optimum performance of power plants has major technical and economic benefits. A case study in one of the Malaysian power plants reveals an escalating harmonic failure trend in their Continuous Ship Unloader (CSU) machines. This has led to a harmonic filter failure causing performance loss leading to costly interventions and safety concerns. Analysis of…
Read MoreWireless Sensor Networks Simulation Model to Compute Verification Time in Terms of Groups for Massive Crowd
Everyone needs fast response or output against its request or need. Therefore, technologies are used to make the processing fast and accurate according to our needs. But in some situations, still we need to do more. Especially, when we need to process a massive or huge crowd of people in limited time frame such as…
Read MoreDecentralized Management System for Solid-State Voltage Regulators in Nodes of Distribution Power Networks
The article describes the concept and architecture of a decentralized control system for a solid-state voltage regulator (SSVR). The SSVR is a universal device for controlling the mode and operation parameters of medium voltage electrical networks. SSVR manage the amount of current in line using the vector voltage control method. The SSVR control system consists…
Read MoreReal-time Gradient-Aware Indigenous AQI Estimation IoT Platform
Environmental monitoring has gained significant importance in outdoor air quality measurement and assessment for fundamental survival as well as ambient assisted living. In real-time outdoor urban scale, instantaneous air quality index estimation, the electrochemical sensors warm-up time, cross-sensitivity computation-error, geo-location typography, instantaneous capacity or back up time; and energy efficiency are the six major challenges.…
Read MoreElasticity Based Med-Cloud Recommendation System for Diabetic Prediction in Cloud Computing Environment
Day to day huge medical data have been accumulating for diabetic diseases. The complexity of storing, processing ,analyzing and predicting the data related to diabetics is not so easy for healthcare professionals .The prediction of accurate results also has the limitation due to scale of data increasing worldwide for patients, symptoms and test results .In…
Read MoreHigh-Performance Computing: A Cost Effective and Energy Efficient Approach
The world is witnessing unprecedented advancements in ICT (Information & Communication Technology) related fields. These advancements are further boosted with the emergence of big data. It goes without saying that big data requires two major operations: storage and processing. The latter is usually provided through High-Performance Computing (HPC) which is delivered through two main venues:…
Read MoreLEACH Based Protocols: A Survey
Advances in the world of communications and information technology, as well as the urgent necessity to monitor particular areas and regions, have led to a considerable and influential development in the world of wireless sensor nodes. As they are small, low-cost multi-purpose nodes with limited energy and capabilities. The most important points that deserve research…
Read MoreA Novel Approach of Smart Logistics for the Health-Care Sector Using Genetic Algorithm
The heath-care sector has confronted significant difficulties in the past few years due to several issues such as insufficient human resources, budget cuts, and shortage of equipment and drugs. The logistics in the health-care sector take an extensive part of the budget, especially since it is the main axis to provide the hospital’s pharmacies with…
Read MoreSocial Influence Factor of e-Tourism Application Case Study University Student
The income generated from the tourism sector exhibits the main driving force for national revenues in Indonesian. Based on data from the Ministry of Tourism in Indonesia, it turns out that the potential tourist category originated from the cluster of college students or school-aged cohort. In this line, social media signifies a similar age of…
Read MoreStudent’s Belief Detection and Segmentation for Real-Time: A Case Study of Indian University
This paper has explored the technology beliefs of university students considering four parameters. We have proposed an automatic belief identification system for academic institutions. For this, we used two different clustering algorithms to segment the student group with different beliefs about the technology. In the Hierarchical Clustering (HC), the Agglomerative approach was followed. The beliefs…
Read MoreA Typological Study of Portuguese Mortality from Non-communicable Diseases
The most common non-communicable diseases, such as cardiovascular diseases and cancer, are a problem in global and national growth. The World Health Organization considers it a priority to study the specific causes of these diseases for trend monitoring. The aim of this paper is to identify a hierarchy of clusters of Portuguese mortality by non-communicable…
Read MoreKnowledge Mapping of Virtual Academic Communities: A Bibliometric Study Using Visual Analysis
This study aims to provide a systematic and complete knowledge map for researchers in the field of virtual academic communities (VACs) and to help them quickly understand the key knowledge, evolution trends and research frontiers. This paper adopts the bibliometric method, with the help of bibliometric analysis software Citespace and VOSviewer quantitative analyze the retrieved…
Read MoreFine Tuning the Performance of Parallel Codes
We propose a multilevel method to speed highly optimized parallel codes whose runtime increases faster than their workload. This method requires the ability to solve large in- stances by decomposing them into smaller instances. Using a simple parallel computing model, we derive a mathematical model that predicts whether or not our method can im- prove…
Read MoreMentoring Model in an Active Learning Culture for Undergraduate Projects
Senior projects allow students to move the learning process from basic knowledge to an interdisciplinary approach. The purpose of this research is (1) to analysis attitude and perception, which is a collaboration between teachers and students to develop a model for clustering of appropriate advisors and advisee who cooperate in senior project, and (2) to…
Read MoreA Hybrid Approach for Intrusion Detection using Integrated K-Means based ANN with PSO Optimization
Many advances in computer systems and IT infrastructures increases the risks associated with the use of these technologies. Specifically, intrusion into computer systems by unauthorized users is a growing problem and it is very challenging to detect. Intrusion detection technologies are therefore becoming extremely important to improve the overall security of computer systems. In the…
Read MoreA Novel Hybrid Method for Segmentation and Analysis of Brain MRI for Tumor Diagnosis
It is difficult to accurately segment brain MRI in the complex structures of brain tumors, blurred borders, and external variables such as noise. Much research in developing as well as developed countries show that the number of individuals suffering tumor of the brain has died as a result of the inaccurate diagnosis. The proposed article,…
Read MoreStatistical Aspects of the Environment of Albanian Students Who Were Admitted to Higher Public Education Institutions in the Year 2014
The research presents a statistical analysis that characterize the environment of the admitted students to Higher Public Education Institutions, by providing an overview of student’s distribution to the courses of studies offered by universities in Albania, such as, economy, medicine, technical etc., and grouping them according to the relative density of 38 (thirty eight) administrative…
Read MoreSecuring Hybrid SDN-based Geographic Routing Protocol using a Distributed Trust Model
In this paper, the vulnerabilities and the security attacks against vehicular networks, SDN architecture and some security solutions for SDVN are studied. Secondly, a complete and improved version of the secure HSDN-GRA routing protocol based on a distributed trust model is proposed where public keys of the vehicles are managed in a distributed way. Besides,…
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