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Keyword: ICTOn the Ensemble of Recurrent Neural Network for Air Pollution Forecasting: Issues and Challenges
Time-series is a sequence of observations that are taken sequentially over time. Modelling a system that generates a future value from past observations is considered as time-series forecasting system. Recurrent neural network is a machine learning method that is widely used in the prediction of future values. Due to variant improvements on recurrent neural networks,…
Read MoreAlternative Braking Method for Small Scaled-Wind Turbines Connected DC Green House with Analogical Experiment on Blade Destruction
To supply a stable and efficient electricity, small-scaled wind turbine’s brake system plays an immense role in various wind speeds. Small-wind power generation systems are difficult to operate in strong wind region since the turbine could be over-rotated and damaged if the brake system is not robust enough to maintain a stable angular velocity. Most…
Read MoreA Comparative Analysis of ARIMA and Feed-Forward Neural Network Prognostic Model for Bull Services
Bull service is the natural copulation by a purebred male carabao with a female counterpart. This is part of the bull loan agenda of the Philippine Carabao Center-Visayas State University (PCC-VSU), one of the 12 regional centers of PCC. For the past years, PCC-VSU used averaging of bull services count of previous years and sometimes…
Read MoreA Sustainable Multi-layered Open Data Processing Model for Agriculture: IoT Based Case Study Using Semantic Web for Hazelnut Fields
In recent years, several projects which are supported by information and communications technologies (ICT) have been developed in the agricultural domain to promote more precise agricultural activities. These projects account for different kinds of key ICT terms such as internet of things (IoT), wireless sensors networks (WSN), cloud computing (CC). These projects are used for…
Read MoreEvolutionary Quantum Technology: The Future with Holographic Plasma Voxel
This current situation will affect the future, technology models that are unthinkable or which impossible to happen pops up one by one. Like the hologram, this technology began to develop as a solution to increase user comfort in operating a system that is needed. This paper explains the development of hologram technology that is currently…
Read MoreOptimization of Low Temperature Differential Stirling Engine Regenerator Design
Stirling engines working with relatively low temperature are attractive for the future, especially for applications like water pumping without concentration system and low temperature heat recovery. The present work is the continuation of a series of works on the optimization of this type of machines. The main objective of this paper is to investigate the…
Read MoreSafety in Industry 4.0: The Multi-Purpose Applications of Augmented Reality in Digital Factories
The digital factory is a concept signing a new era for industry, the so-called Industry 4.0, in which ordinary production systems like manufacturing plants, machineries and utilities are being equipped with diagnostic and sensitive instrumentation to be connected to digital shared networks. This data-sharing, trough the big data management techniques, is a fully integrated base…
Read MoreA Psychovisual Optimization of Wavelet Foveation-Based Image Coding and Quality Assessment Based on Human Quality Criterions
In the present article, we introduce a foveation-based optimized embedded and its optimized version image coders thereafter called VOEFIC/MOEFIC and its related foveation wavelet visible difference predictor FWVDP coding quality metric. It advances a visually advanced foveal weighting mask that regulates the wavelet-based image spectrum before its encoding by the SPIHT encoder. It intends to…
Read MoreProductify News Article Classification Model with Sagemaker
News companies have a need to automate and make the process of writing about popular and new events more effective. Current technologies involve robotic programs that fill in values in templates and website listeners that notify editors when changes are made so that the editor can read up on the source change on the actual…
Read MoreOptimization of the Stabilizer Bar by Using Total Scores Method
The stabilizer bar restricts the roll angle of the vehicle when the vehicle steers based on the load balance on both sides of the wheel. Usually, the bar is in the form of the symmetrical U-shaped with the diameter is circular or annular. In order to be able to calculate the diameter of the stabilizer…
Read MoreResource Selection Service Based on Neural Network in Fog Environment
As an emergent technology in Internet of Things (IoT), the ultimate target of fog computing is to provide a widely distributed computational resources and data repository closer to the network edge providing heterogeneous systems both in terms of software and hardware. The fog system must have the capability to deal with huge number of resources…
Read MoreOptimization of the Feeding Point Location of Rectangular Microstrip Patch Antenna
Microstrip patch antennas (MPAs) are comfortable and have better anticipation compared to traditional antennas. Not only the weight of this type of antennas is lighter but also, they have little capacity, minimum price, reduced in measurement as well as affluence of fiction then observance. Recently, it has been many times reevaluated for the improvement of…
Read MoreAnalysis of Reducing Defect Waste in Rubber Product for Magnetic Disk Drive Industry
Productivity is increasing when less input was used in getting the same outcomes. Thus, the effectiveness of productive effort, especially in industry, as measured in terms of the rate of output per unit of input. As in derivative rubber industry which is producing the seal product for final assembly of Disc Drive. The function of…
Read MoreA Study on Development of Information and Communication Ethics Sensitivity Measurement for Elementary School Students
With advances in information and communication technologies and internet technologies, we have many benefits in our daily life. Most people have smart devices and use them for their work and leisure, and so on. However, these advances technologies brought us various side effects such as copyright violation, internet addiction, cybercrimes, personal information infringement, etc. In…
Read MoreConstrained Path Planning for Both Smooth Motion Profile and Stable Control
In our era, human and machine must share the same workspace in various plants such as warehouse logistics, material transportation, manufacturing factory or assisted human. The collaboration is essential to maintain the safe operation and the complete mission. In this paper, a design of anti-vibration scheme using Spline generator for grounded vehicle platform in human-machine…
Read MoreA Blockchain-Based Architecture for Smart Healthcare System: A Case Study of Saudi Arabia
eHealth is the use of Information and Communication Technologies (ICT) to enhance health quality access. Health care innovations are an essential element of Vision 2030 and National Transformation Program (NTP) 2020 operational plan that will lead to an improvement in the quality of health care in Saudi Arabia. The objective of this paper is to…
Read MoreSingle-leg Standing Ability and Lower Limb Movement Analysis of Collegiate Footballers and Sedentary Students
Stability or balance is an integral component to perform daily activities without incurring injury or to be dependent on others. Sportsmen tend to have better balance than non-sports people but less is known about the single-leg balance ability. Furthermore, few studies analyzed the dynamic phase of single-leg stance that may contribute to better overall balance.…
Read MoreNovel Cost Function based Motion-planning Method for Robotic Manipulators
In this paper an offline motion-planning algorithm is presented for robotic manipulators. In this method to solve the path-planning task, the Transition-based Rapidly-exploring Random Tree (T-RRT) algorithm was applied, that requires a cost-function over the search space. The goal of this cost-function is to keep distance between the actual position and configurations that cause collisions.…
Read MoreOptimization of the Electrical Discharge Machining of Powdered Metallurgical High-Speed Steel Alloy using Genetic Algorithms
Through the Electrical Discharge Machining, the temperature is very high, which can lead to the material phase’s transformation and affects material properties, which can lead to failure of the products in the industry. This study aims to investigate the effect of a new input parameter (pulse cycle time Tc), with other parameters on the EDM…
Read MoreDevelopment of Evaluation Metrics for Learners in Unplugged Activity
As well as physical computing, unplugged activity is important in ICT (Information and Communication Technology) education, that uses information and communications technology to support, enhance, and optimize the delivery of information, and software education. In order to achieve educational objectives in unplugged activity, evaluation metrics of learners are necessary. However, there is little work on…
Read MoreThe Potential of Ocean Current as Electrical Power Sources Alternatives in Karimunjawa Islands Indonesia
Electrical energy shortage and expensive basic electricity costs are one of the problems that are occurred in Karimunjawa Island, Indonesia. The purpose of this research is to identify the potential of ocean currents energy as one of the alternatives to reduce the problem related to energy needs and to predict the electrical energy that can…
Read MoreMulti Biometric Thermal Face Recognition Using FWT and LDA Feature Extraction Methods with RBM DBN and FFNN Classifier Algorithms
Person recognition using thermal imaging, multi-biometric traits, with groups of feature filters and classifiers, is the subject of this paper. These were used to tackle the problems of biometric systems, such as a change in illumination and spoof attacks. Using a combination of, hard and soft-biometric, attributes in thermal facial images. The hard-biometric trait, of…
Read MoreEKMC: Ensemble of kNN using MetaCost for Efficient Anomaly Detection
Anomaly detection aims at identification of suspicious items, observations or events by differing from most of the data. Intrusion Detection, Fault Detection, and Fraud Detection are some of the various applications of Anomaly Detection. The Machine learning classifier algorithms used in these applications would greatly affect the overall efficiency. This work is an extension of…
Read MoreDetermination of Submerged Breakwater Location for Coastal Protection in Panjang Island Waters Jepara
Panjang Island is one of the islands which is categorized as a small island and is located in Jepara District, Jepara Regency, Central Java Province. The problem faced by Panjang Island is erosion, which increasingly erodes the shoreline and begins to damage buildings on the beach. A solution that is effective enough to overcome erosion…
Read MoreEstimating Academic results from Trainees’ Activities in Programming Exercises Using Four Types of Machine Learning
Predicting trainees’ final academic results in the early stage of programming class is a significant mission in the field of learning analytics. Performing exercises in programming class is hard and it takes a lot of time for trainees. For this reason, careful support with trainees are offered in many classes through classroom assistants (CAs). Even…
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