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Keyword: ITSArtificial Bee Colony-Optimized LSTM for Bitcoin Price Prediction
In recent years, deep learning has been widely used for time series prediction. Deep learning model that is most often used for time series prediction is LSTM. LSTM is widely used because of its excellence in remembering very long sequences. However, doing training on models that use LSTM requires a long time. Trying from one…
Read MoreVerification of the Usefulness of Personal Authentication with Aerial Input Numerals Using Leap Motion
With the progress of IoT, everything is going to be connected to the network. It will bring us a lot of benefits however some security risks will be occurred by connecting network. To avoid such problems, it is indispensable to strengthen security more than now. We focus on personal authentication as one of the security.…
Read MoreLED Lighting Implementation as a Strategy for Energy Saving in Energetically Sustainable Campus
Since lighting constitutes an important part of the total electricity consumption of a country, the design and implementation of more efficient interior lighting systems are one of the feasible strategies to reduce energy consumption. With this purpose, in recent years several studies have considered the use of LED lighting systems. However, its implementation at a…
Read MoreA Modular Multipurpose, Parameter Centered Electronic Health Record Architecture
Health Information Technology is playing a key role in healthcare. Specifically, the use of electronic health records has been found to bring about most significant improvements in healthcare quality, mainly as relates to patient management, healthcare delivery and research support. Health record systems adoption has been promoted in many countries to support efficient, high quality…
Read MoreSentiment Analysis of Transjakarta Based on Twitter using Convolutional Neural Network
TransJakarta is one of the methods to reduce congestion in Jakarta. However, the number of TransJakarta users compared to number of private vehicle users is very small, only 24% of the total population in Jakarta. The purpose of this research is to know public opinions about TransJakarta whether positive or negative by doing sentiment analysis…
Read MoreFuzzy Simulation of Historical Associative Thesaurus
Research is dedicated to fuzzy reconstructions in the diachronic associative linguistics, and encompasses several simulation practices. The principles of an associative memory model and fuzzy computing with words are adopted in the working methodology. The evolved mathematical model reanimates the older patterns of Scottish associative map by means of fuzzy logic. The compiled fuzzy associative…
Read MoreImprovement opportunities of a Simulation/Expert System Approach for Manufacturing System Sizing: A review and proposal
Manufacturing System (MS) sizing is a crucial task to complete in order to obtain the desired MS performance and efficiency. It involves selecting the required number of resources from each used type in a given planning horizon. In fact, different approaches coupling simulation/optimization tools have been developed to solve this issue and evaluate the MS…
Read MoreSatisfaction of the Graduate for the Continuous Improvement of Educational Quality in UNTELS
The Universidad Nacional Tecnologica de Lima Sur (UNTELS), like all universities, has as one of its objectives the training of professionals with skills that the changing working world requires. One way to establish the relevance of what UNTELS offers to its students is to know relevant information from graduates that entails, to their authorities, establish…
Read MoreGreen Inventory Supply Chain Model with Inflation under Permissible Delay in Finite Planning Horizon
Trade credit is an important cost reduction tool in the inventory management. The effect of trade credit is studied on the integrated system for sharing the cost benefits realized due to the permissible delay. Credit term factor is introduced to divide the cost benefits between the retailer and the supplier. The various costs in the…
Read MorepH Neutralization Process Control based on Active Disturbance Rejection Control
This paper considers active disturbance rejection control (ADRC) as a new control approach for pH neutralization process. The pH process is challenging to control due to its sensitivity to disturbance, nonlinear dynamics, and time-varying characteristics. Special attention is paid to the impact of disturbances typically exists in the chemical process. First, the pH neutralization process…
Read MoreMechanical Testing Methods for Body-Powered Upper-Limb Prostheses: A Case Study
3D-printing technologies have greatly influenced the field of fabrication of medical devices. In particular, Fused Deposition Modeling 3D printing has emerged as one the most popular and most promising technologies for fabricating upper-limb prostheses. Over the last years, a variety of types and designs of 3D-printed hand prostheses have been created and are commercially available.…
Read MoreProposal for a Security Model for a Popular Voting System Process in Latin America
In Latin America, there is a need for better security systems in different national or sectional votes, which is why this study was carried out, to show a proposal for a security model that helps to obtain better results and to this purpose has been selected information on the database for different Latin American countries,…
Read MoreLow-Cost and Accurate Computational System for Efficiency Measures over Photovoltaic Arrays
In this paper, we present a new Somewhat Homomorphic Encryption (SHE) scheme using computation over complex numbers. We then use Bootstrapping technique to make the scheme Fully Homomorphic (FH) and supports unbounded number of circuit depth. In addition to its homomorphic properties and security level, a main characteristic of the proposed new scheme is its…
Read MoreFully Homomorphic Encryption Scheme Based On Complex Numbers
In this paper, we present a new Somewhat Homomorphic Encryption (SHE) scheme using computation over complex numbers. We then use Bootstrapping technique to make the scheme Fully Homomorphic (FH) and supports unbounded number of circuit depth. In addition to its homomorphic properties and security level, a main characteristic of the proposed new scheme is its…
Read MoreCommunication Management of Digital Information Data in Human Resources as a Policy Making Strategic Program for University
Modern universities aim at carrying capacity human resources component in its tri dharma (Three Pillars of Higher Education). UPI with sufficient conditions in the management of several resources has undoubtedly tried to establish itself as a modern university. The superior human resource support in every competition and the university’s tri dharma is the primary resource…
Read MoreEmbedded Artificial Neural Network FPGA Controlled Cart
An artificial neural network (ANN) computing system can be significantly influenced by its implementation type. The software implemented ANN can produce high accuracy output with slow computation time performance compared to hardware implemented ANN which runs at a faster computation time but with low accuracy. Normally, software implementation reduces the proficiency and efficiency of the…
Read MoreMaterial, Structural Optimization and Analysis of Visible-Range Back-Illuminated OPFET photodetector
High gain-bandwidth product and visible/UV contrast photodetectors are vital in Visible Light Communication (VLC) and Ultraviolet (UV) reflectance imaging applications respectively. We adopt material and structural optimization to perceive such photodetectors with back-illuminated Optical Field Effect Transistor (OPFET) wherein any potential difference in absorption coefficient of the semiconductor material between the visible and the UV…
Read MoreConceptual Architecture for the Continuity if Workflow in Activities on Multi-Devices: Case Study Co-Kitchen
Nowadays, the realization and follow-up of a team activity takes place in different execution environments (e.g. mobile phone, PC) through the use of computer applications. This implies context changes that generate interruptions in the activity. To improve the continuity of an activity with the reduction of interruptions during the development of this activity, would help…
Read MoreEstimation of Target Maneuvers from Tracked Behavior Using Fuzzy Evidence Accrual
While the Kalman filter, including its many variants, has been the staple of the tracking community, it also has been shown to have drawbacks, particularly when tracking through a maneuver. The most common issue is a lag in the position of the target track compared to the true target position as the target performs its…
Read MoreMarginalizing Last Mile Logistics Cost through 4th Party Milk Run
To reduce its high last mile logistics cost, a company may explore different options such as a horizontal collaboration with another company that has a similar logistics requirement. Traditionally, the collaboration can be conducted through an outsource contract mechanism where the company may need to guarantee a certain number of logistics demands or usage for…
Read MoreA Fuzzy-Based Approach and Adaptive Genetic Algorithm in Multi-Criteria Recommender Systems
Recommender Systems (RSs) are termed as web-based applications that make use of filtering methods and several machine learning algorithms to suggest relevant user objects. It can be said that some techniques are usually adopted or trained to develop these systems that generate lists of suitable recommendations. Conventionally, RS uses a single rating approach to preference…
Read MoreEffectiveness and Comparison of Digital Substations Over Conventional Substations
The entire electrical system is changing at an abrupt speed since its beginning. With the rapid advance of renewable energies (which are constantly subject to fluctuations), the electricity generation is distributed to countless locations. The traditional model of the unidirectional flow of electricity is leaning towards multidirectional flows. This situation needs significant changes in the…
Read MoreDevelopment of Wavelet-Based Tools for Event Related Potentials’ N400 Detection: Application to Visual and Auditory Vowelling and Semantic Priming in Arabic Language
Neurological signals are generally very weak in amplitude and strongly noisy. As a result, one of the major challenges in neuroscience is to be able to eliminate noise and thus exploit the maximum amount of information contained in neurological signals (EEG…). In this paper, we aimed at studying the N400 wave of the Event-Related Potentials…
Read MoreSupporting Better Physical Activity in a Smart City: a Framework for Suggesting and Supervising Walking Paths
The increase of elderly population creates the need to promote healthy aging, with autonomy and independence, for preserving the functional capacity and quality of life as much as possible. To achieve this goal the recommendations include walking a certain amount of steps daily, given that the exact amount of steps changes with age, lesions, and…
Read MoreAn Analysis of Social Media Usage in Winery Businesses
Although social media is used by an ever-increasing number of businesses, its benefits have not yet been fully exploited. Social media analytics tools can prove helpful in this regard, since they comprise a unique information source for business intelligence. As the social media environment rapidly evolves, various social media analytics tools are emerging. This research…
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