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Keyword: ARExploring the Performance Characteristics of the Naïve Bayes Classifier in the Sentiment Analysis of an Airline’s Social Media Data
Airline operators get much feedback from their customers which are vital for both operational and strategic planning. Social media has become one of the most popular platforms for obtaining such feedback. However, to analyze, categorize, and generate useful insight from the huge quantity of data on social media is not a trivial task. This study…
Read MoreDiffusion of Technology for Language Challenges in the South African Healthcare Environment
Even though mobile technologies are increasingly used to enable communications between providers and receivers of healthcare services, there remain severity challenges owing to the use of various indigenous languages in many Africa countries. Some of the challenges get worst in a countries like South Africa where there are eleven official languages. As a result, interpreters…
Read MoreNonlinear \(\ell_{2,p}\)-norm based PCA for Anomaly Network Detection
Intrusion detection systems are well known for their ability to detect internal and external intrusions, it usually recognizes intrusions through learning the normal behaviour of users or the normal traffic of activities in the network. So, if any suspicious activity or behaviour is detected, it informs the users of the network. Nonetheless, intrusion detection system…
Read MoreMalware Classification Based on System Call Sequences Using Deep Learning
Malware has always been a big problem for companies, government agencies, and individuals because people still use it as a primary tool to influence networks, applications, and computer operating systems to gain unilateral benefits. Until now, malware detection with heuristic and signature-based methods are still struggling to keep up with the evolution of malware. Machine…
Read MoreModelling and Simulation of Aerodynamic Parameters of an Airship
The dynamic modelling of an airship is the primary requirement in designing and developing a control system for a particular application. Extracting/predicting/modelling the aerodynamic coefficients is a crucial step towards the modelling of an airship. There is a huge amount of literature on the aerodynamic modelling of airships which presents experimental as well as analytical…
Read MoreNearest Neighbour Search in k-dSLst Tree
In the last few years of research and innovations, lots of spatial data in the form of points, lines, polygons and circles have been made available. Traditional indexing methods are not perfect to store spatial data. To search for nearest neighbour is one of the challenges in different fields like spatiotemporal data mining, computer vision,…
Read MoreSmart Grid Users Benefits Based on DSM Algorithm Mathematical Optimization Problems Studied
The purpose of this research paper is to demonstrate that optimization of energy consumption, distributed generation and storage contribute towards mutually beneficial and satisfactory Demand Side Management algorithms that can be installed into consumer smart meters or in Home Energy Storage. A new solution based on an Energy Scheduling and Distributed Storage (ESDS) and Microgrid…
Read MoreMulti-Agent Data Recognition System Based on Received Signal in Antenna on Board Telecom System
Information data recognition during traditional operating step in telecommunication system, as their interpretation, presents an important active research field. In this context, we propose as a solution multi-agent data identification system starting with received signal parameters in antenna network connected on board telecom system. Due to the Information Identification Data (IID) response variability that differ…
Read MoreMaximum Power-Point Tracking and Stall Control with Eddy Current Brake System on Small-Scaled Wind Turbines and its Application on Agricultural Harvesting
This research aims to enhance the generated power of the small-scaled wind turbine using the eddy current brake system and Maximum Power Point Tracking (MPPT) control method. We analyzed the behavior of the generated power and power factor, with and without the MPPT control which implemented by eddy current brake system. Also, the feasibility of…
Read MoreFraud Detection Call Detail Record Using Machine Learning in Telecommunications Company
Fraud calls have a serious impact on telecommunications operator revenues. Fraud detection is very important because service providers can feel a significant loss of income. We conducted a fraud research case study on one of the operators that experienced fraud in 2009 and 2018. Call Detail Record (CDR) containing records of customer conversations such as…
Read MoreEnergy Recovery Equipment and Control Strategies in Various Climate Regions
Different types of air-to-air energy recovery technologies such as coil loops, heat pipes, sensible wheels, and total energy wheels are frequently incorporated in HVAC systems in an attempt to reduce energy consumption. This study examines the impact of various types of energy recovery technologies and capacity control strategies on a building’s cooling, heating, and fan…
Read MoreAdapting to Individual Differences (ATID) For Inductive Thinking and Learning Purpose
The research in general aims to develop students’ writing skills by applying a model with reader response strategy and visual symbols to promote students’ morals. Specifically, this inquiry is expected to describe the acceptability, comparison, impact, strength, and shortcomings, and the model Adapting To Individual Differences (ATID) of Indonesian literature learning to promote writing skills.…
Read MoreOntologic Design of Software Engineering Knowledge Area Knowledge Components
The article sets forth the solution of the educational resources semantic context knowledge components development task, based on the learning technology project-oriented concepts, graduate’s competency model and ontological; engineering. The being considered ontology model and knowledge display formalisms allow, firstly, relevantly image the educational resources semantic context in the support concepts ontology format, and their…
Read MoreCitizen Behavior: The Evaluation of Complaint Application that Connected to Smart City
SIARAN is application which is created by Government of South Tangerang City, Indonesia. The application is e-government services social media based. It is designed for citizens to be able to report problems that occur around South Tangerang City. The research was conducted to find out the factors that affect the intention of SIARAN’s users. The…
Read MoreWarehouse Relocation of a Company in the Automotive Industry Using P-median
To have enough information on time can be helpful when companies try to reduce costs and operate more efficiently. An international company that supplies parts for the automotive industry is currently testing its new facilities in Mexico. The relocation of the raw materials and finished goods warehouses were tested using a P-Median model. The operating…
Read MorePromotion of the Research Activities at the Image Processing Research Laboratory (INTI-Lab) of the UCH as Knowledge Management Strategy
In Peru, approximately since 2013, a necessary change has begun in the importance given to research, science, technology, and technological innovation. Likewise, in 2014, a new University Law was approved that among other aspects also promotes research production in universities. Against this context, the universities begin to improve with more emphasis activities related to research.…
Read MoreDynamics Model and Design of SMC-type-PID Control for 4DOF Car Motion Simulator
4-DOF car motion simulator helps to simulate real-life experiences that drivers do not have the opportunity to access the real environment. The dynamics equation of 4-DOF car motion simulator is a very complex problem with many uncertain parameters, so it requires intelligent control algorithms. Sliding mode controller (SMC) can achieve good tracking performance and robustness…
Read MoreEfficient Discretization Approaches for Machine Learning Techniques to Improve Disease Classification on Gut Microbiome Composition Data
The human gut environment can contain hundreds to thousands bacterial species which are proven that they are associated with various diseases. Although Machine learning has been supporting and developing metagenomic researches to obtain great achievements in personalized medicine approaches to improve human health, we still face overfitting issues in Bioinformatics tasks related to metagenomic data…
Read MoreEfficiency Enhancement of p-i-n Solar Cell Embedding Quantum Wires in the Intrinsic Layer
A high efficiency InAs/GaAs quantum wire solar cell is modelled embedding periodic array of InAs quantum wires (QW) in the intrinsic layer. The promising low dimensional heterostructure such as Quantum Wells, Quantum Wires, Quantum Dots or Dashed (elongated Dots) based intermediate-band-gap solar cells are recently being grasped the attention for ongoing third generation solar cell…
Read MoreThe Application of Mobile Learning Technologies at Malaysian Universities Through Mind Mapping Apps for Augmenting Writing Performance
21st century learning focuses on the flow of information, media, and technology. In Malaysia, many university students face problems in English writing. Thus, students should be exposed to the technology training in innovative ways to produce students with a dynamic in this ever-changing world. Recently, the transformation and the evolution of mobile have created a…
Read MoreMeasurement of Employee Awareness Levels for Information Security at the Center of Analysis and Information Services Judicial Commission Republic of Indonesia
The Center for Analysis and Information Services (Palinfo) at the Judicial Commission closely related to the management of information systems which are used to process organizational internal data and information systems on public services. Data processing and network management have an information system security risk. The Judicial Commission seeks to reduce risk and improve the…
Read MoreSmart Transmission Line Maintenance and Inspection using Mobile Robots
The paper presents sharing several of experiences and practices on smart robotic application for overhead transmission line maintenance and inspection. First, the pilot-line pulling robot is an invention used to pull a pilot line which is an important step for additional high voltage conductor installation. The puller robot can traverse the overhead ground wire, OHGW,…
Read MoreMonte Carlo Estimation of Dose in Heterogeneous Phantom Around 6MV Medical Linear Accelerator
In this work, we completed a validation of the Varian Clinac IX equipped with the High Definition Multi-Leaf Collimator (HD 120 MLC) instead of the removable jaws, using GATE Monte Carlo Platform version 8.2. We validated the multileaf collimator (MLC) geometry by simulating two dosimetric functions (Percentage Depth Dose (PDD) and Dose Profile (DP)), for…
Read MoreThe Design of an Experimental Model for Deploying Home Area Network in Smart Grid
In the smart power grid, designing an efficient and reliable communication architecture has an important role in improving efficiency, and maintaining the connectivity of different network components. The home area network (HAN) provides an energy management system in houses since it enables home energy control and monitoring. So, it is imperative to determine a HAN…
Read MoreEnhancing Decision Making Capabilities in Humanitarian Logistics by Integrating Serious Gaming and Computer Modelling
The field of humanitarian logistics has in recent times gained an increasing attention from both academics and practitioners communities alike. Although various research groups have addressed theoretical and technical developments in humanitarian logistics using conventional research tools, applied research appears to be often dependent on practitioners’ inputs. This paper is an attempt to fill the…
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