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Open AccessArticle
7 Pages, 790 KB Download PDF

Computational Intelligence and Statistical Learning Performances on Predicting Dengue Incidence using Remote Sensing Data

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 4, Page # 344–350, 2020; DOI: 10.25046/aj050440
Abstract:

Dengue is a viral infection disease transmitted to people through the bite of specific mosquito species living in a tropical zone. According to the World Health Organization, dengue has been listed among the top-ten diseases for 2019 as it makes 3.9 billion people in 128 countries be at risk of infection. One major cause of…

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(This article belongs to the SP9 (Special Issue on Multidisciplinary Innovation in Engineering Science & Technology 2020) & Section Artificial Intelligence in Computer Science (CAI))
Open AccessArticle
18 Pages, 2,462 KB Download PDF

Cluster Centroid-Based Energy Efficient Routing Protocol for WSN-Assisted IoT

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 4, Page # 296–313, 2020; DOI: 10.25046/aj050436
Abstract:

Wireless sensor network is highly resource constrained, where energy efficiency and network lifetime plays a major role for its sustenance. As the sensor nodes are battery operated and deployed in hostile environments, either recharging or replacement of batteries in sensor nodes is not possible after its deployment in inaccessible areas. In such condition, energy is…

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(This article belongs to the SP9 (Special Issue on Multidisciplinary Innovation in Engineering Science & Technology 2020) & Section Network Engineering (ENW))
Open AccessArticle
9 Pages, 1,198 KB Download PDF

Optimization of the Procedures for Checking the Functionality of the Greek Railways: Data Mining and Machine Learning Approach to Predict Passenger Train Immobilization

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 4, Page # 287–295, 2020; DOI: 10.25046/aj050435
Abstract:

Information is the driving force of businesses because it can ensure the ability of knowledge and prediction. The railway industry produces a huge volume of data, with the proper processing of them and the use of innovative technology, there is the possibility of beneficial information to be provided which constitute the deciding factor for the…

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(This article belongs to Section Artificial Intelligence in Computer Science (CAI))
Open AccessArticle
10 Pages, 3,910 KB Download PDF

Nonlinear \(\ell_{2,p}\)-norm based PCA for Anomaly Network Detection

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 4, Page # 234–243, 2020; DOI: 10.25046/aj050429
Abstract:

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…

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(This article belongs to Section Interdisciplinary Applications of Computer Science (CSI))
Open AccessArticle
11 Pages, 2,063 KB Download PDF

Dynamic Decision-Making Process in the Opportunistic Spectrum Access

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 4, Page # 223–233, 2020; DOI: 10.25046/aj050428
Abstract:

We investigate in this paper many problems related to the decision-making process in the Cognitive Radio (CR), where a Secondary User (SU) tries to maximize its opportunities by finding the most vacant channel. Recently, Multi-Armed Bandit (MAB) problems attracted the attention to help a single SU, in the context of CR, makes an optimal decision…

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(This article belongs to the SP9 (Special Issue on Multidisciplinary Innovation in Engineering Science & Technology 2020) & Section Interdisciplinary Applications of Computer Science (CSI))
Open AccessArticle
7 Pages, 1,787 KB Download PDF

Nearest Neighbour Search in k-dSLst Tree

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 4, Page # 160–166, 2020; DOI: 10.25046/aj050419
Abstract:

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,…

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(This article belongs to the SP9 (Special Issue on Multidisciplinary Innovation in Engineering Science & Technology 2020) & Section Information Systems in Computer Science (CIS))
Open AccessArticle
7 Pages, 1,092 KB Download PDF

Fraud Detection Call Detail Record Using Machine Learning in Telecommunications Company

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 4, Page # 63–69, 2020; DOI: 10.25046/aj050409
Abstract:

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…

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(This article belongs to Section Information Systems in Computer Science (CIS))
Open AccessArticle
16 Pages, 1,131 KB Download PDF

A Novel Representative k-NN Sampling-based Clustering Approach for an Effective Dimensionality Reduction-based Visualization of Dynamic Data

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 4, Page # 08–23, 2020; DOI: 10.25046/aj050402
Abstract:

Visualization plays a crucial role in the exploratory analysis of Big Data. The direct visualization of Big Data is a challenging task and difficult to analyze. Dimensionality Reduction techniques extract the features in the context of visualization. Due to the unsupervised and non-parametric nature, most of the dimensionality reduction techniques are not evaluated quantitatively and…

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(This article belongs to the SP9 (Special Issue on Multidisciplinary Innovation in Engineering Science & Technology 2020) & Section Information Systems in Computer Science (CIS))
Open AccessArticle
6 Pages, 691 KB Download PDF

Dynamics Model and Design of SMC-type-PID Control for 4DOF Car Motion Simulator

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 3, Page # 557–562, 2020; DOI: 10.25046/aj050369
Abstract:

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…

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(This article belongs to Section Robotics (ROB))
Open AccessArticle
10 Pages, 1,469 KB Download PDF

Efficient Discretization Approaches for Machine Learning Techniques to Improve Disease Classification on Gut Microbiome Composition Data

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 3, Page # 547–556, 2020; DOI: 10.25046/aj050368
Abstract:

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…

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(This article belongs to the SP9 (Special Issue on Multidisciplinary Innovation in Engineering Science & Technology 2020) & Section Psychiatry (PSY))
Open AccessArticle
11 Pages, 2,283 KB Download PDF

A Survey and an IoT Cybersecurity Recommendation for Public and Private Hospitals in Ecuador

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 3, Page # 518–528, 2020; DOI: 10.25046/aj050364
Abstract:

It was analyzed the reference information on Cybersecurity architectures, models, standards, evaluations, mechanisms, and procedures applied to IoT domains, and public and private health area. The problem is the lack of proposals for IoT Cybersecurity in public and private hospitals to minimize random failures, ensure the privacy of personal data of patients, avoid the paralysis…

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(This article belongs to Section Interdisciplinary Applications of Computer Science (CSI))
Open AccessArticle
12 Pages, 627 KB Download PDF

Degradation Process in Pipeline and Remaining Useful Lifetime Estimation Based on Extended Kalman Filtering

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 3, Page # 457–468, 2020; DOI: 10.25046/aj050357
Abstract:

Degradation measurements are often treated and analyzed for improvement the reliability of system. Our objective in this paper is to study a class of non linear systems, whose dynamics and observations are non linear functions of the state. Obviously, we develop an Extended Kalman Filtering (EKF) algorithm for detecting the additive failures in a two…

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(This article belongs to Section Automation & Control Systems (ACS))
Open AccessArticle
10 Pages, 1,131 KB Download PDF

A Survey on Image Forgery Detection Using Different Forensic Approaches

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 3, Page # 361–370, 2020; DOI: 10.25046/aj050347
Abstract:

Recently, digital image forgery detection is an emergent and important area of image processing. Digital image plays a vital role in providing evidence for any unusual incident. However, the image forgery my hide evidence and prevents the detection of such criminal cases due to advancement in image processing and availability of sophisticated software tamper of…

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(This article belongs to Section Electronic Engineering (EEE))
Open AccessArticle
6 Pages, 584 KB Download PDF

Balance as One of the Attributes in the Customer Segmentation Analysis Method: Systematic Literature Review

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 3, Page # 334–339, 2020; DOI: 10.25046/aj050343
Abstract:

The banking industry is very competitive. To utilize the information, they have in order to be a competitive advantage winner is reasonably very crucial for the company. At present, the company does not only focus on the company’s strategy that prioritizes products (e.g. product or service oriented), however also necessitates to focus on the company’s…

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(This article belongs to Section Theory & Methods in Computer Science (CTM))
Open AccessArticle
12 Pages, 1,744 KB Download PDF

Machine Learning Model to Identify the Optimum Database Query Execution Platform on GPU Assisted Database

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 3, Page # 214–225, 2020; DOI: 10.25046/aj050328
Abstract:

With the current amount of data nowadays, the need for processing power has vastly grown. By relying on CPU processing power, current processing power is depending on the frequency and parallelism of the current CPU device. This means this method will lead to increased power consumption. Current research has shown that by utilize the power…

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(This article belongs to Section Artificial Intelligence in Computer Science (CAI))
Open AccessArticle
8 Pages, 902 KB Download PDF

Personality Measurement Design for Ontology Based Platform using Social Media Text

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 3, Page # 100–107, 2020; DOI: 10.25046/aj050313
Abstract:

Human behavior quantification is an essential part of psychological science. One of the cases is measuring human personality. Social media provide rich text, which can be beneficial as a data source to get valuable insight. Previous researches show that social media offered favorable circumstances for psychological researchers by tracking, analyzing, and predicting human character. In…

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(This article belongs to the SP9 (Special Issue on Multidisciplinary Innovation in Engineering Science & Technology 2020) & Section Psychiatry (PSY))
Open AccessArticle
10 Pages, 703 KB Download PDF

Intrusion Detection in Cyber Security: Role of Machine Learning and Data Mining in Cyber Security

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 3, Page # 72–81, 2020; DOI: 10.25046/aj050310
Abstract:

In recent years, cyber security has been received interest from several research communities with respect to Intrusion Detection System (IDS). Cyber security is “a fast-growing field demanding a great deal of attention because of remarkable progresses in social networks, cloud and web technologies, online banking, mobile environment, smart grid, etc.” An IDS is a software…

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(This article belongs to Section Hardware & Architecture in Computer Science (CHA))
Open AccessArticle
9 Pages, 1,012 KB Download PDF

Using Leader Election and Blockchain in E-Health

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 3, Page # 46–54, 2020; DOI: 10.25046/aj050307
Abstract:

The development of electronic healthcare systems requires to adopt modern technologies and architectures. The use of Electronic Personal Health Record (E-PHR) should be supported by efficient storage such as cloud storage which enables more security, availability and accessibility of patients’ records. Actually, the increase of availability of E-PHR enhances parallel access, which improves the performance…

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(This article belongs to the SP9 (Special Issue on Multidisciplinary Innovation in Engineering Science & Technology 2020) & Section Biotechnology & Applied Microbiology (BAM))
Open AccessArticle
7 Pages, 1,051 KB Download PDF

Dynamic Objects Parameter Estimation Program for ARM Processors Based Adaptive Controllers

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 3, Page # 34–40, 2020; DOI: 10.25046/aj050305
Abstract:

Modern microcontrollers are capable to realize not only traditional PID-regulators but also adaptive ones. Object of control parameters estimation is the biggest part of adaptive control from the point of view of time consumption. The ways to reduce this time for digital control systems based on ARM-CORTEX 32-bit and 64-bit processors are shown in the…

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(This article belongs to the SP8 (Special Issue on Multidisciplinary Sciences and Engineering 2019-20) & Section Artificial Intelligence in Computer Science (CAI))
Open AccessArticle
5 Pages, 809 KB Download PDF

Parameter Estimation on Two-Dimensional Advection-Dispersion Model of Biological Oxygen Demand in Facultative Waste Water Stabilization Pond: Case Study at Sewon Wastewater Treatment Facility

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 3, Page # 11–15, 2020; DOI: 10.25046/aj050302
Abstract:

To build a precise mathematical model describing a natural phenomenon, parameter estimation is needed to achieve the best parameter value. In this paper, we have calculated the best parameter value for a two-dimensional advection-dispersion differential equation of the biological oxygen demand degradation process in a facultative wastewater stabilization pond. This research was conducted with case…

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(This article belongs to Section Environmental Engineering (EEV))
Open AccessArticle
7 Pages, 779 KB Download PDF

Analysis of the Blockchain for Adoption in Electronic Commerce Management in Ecuador

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 2, Page # 762–768, 2020; DOI: 10.25046/aj050295
Abstract:

The document describes the advancement of technology in commercial negotiations and functionality for various electronic transactions in Ecuador, with the aim of analyzing the blockchain and its adoption in managing e-commerce. The quantitative approach with a deductive and descriptive method has been used to identify the benefits in transactional activities and data security, both customers…

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(This article belongs to Section Information Systems in Computer Science (CIS))
Open AccessArticle
9 Pages, 792 KB Download PDF

Review on Smart Electronic Nose Coupled with Artificial Intelligence for Air Quality Monitoring

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 2, Page # 739–747, 2020; DOI: 10.25046/aj050292
Abstract:

With the advent of the Internet of Things Technologies (IOT), smart homes, and smart city applications, E-Nose was created. Almost of gas sensors consisting the electronic nose system suffer from cross sensitivity and lack of selectivity. Coupling smart gas sensors with artificial intelligence algorithms can thus empower conventional gas sensing technologies and increase accuracy in…

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(This article belongs to Section Artificial Intelligence in Computer Science (CAI))
Open AccessArticle
6 Pages, 1,588 KB Download PDF

Neural Network-based Efficient Measurement Method on Upside Down Orientation of a Digital Document

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 2, Page # 697–702, 2020; DOI: 10.25046/aj050286
Abstract:

As many digital documents are required in various environments, paper documents are digitized by scanner, fax, digital camera and specific software. In the case of a scanned document, we need to check whether the document is right sided or upside down because the orientation of the scanned document is determined by the orientation in which…

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(This article belongs to the SP8 (Special Issue on Multidisciplinary Sciences and Engineering 2019-20) & Section Artificial Intelligence in Computer Science (CAI))
Open AccessArticle
12 Pages, 1,343 KB Download PDF

Using Metaheuristics-Based Methods to Provide Sustainable Market Solutions, Suitable to Consumer Needs

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 2, Page # 399–410, 2020; DOI: 10.25046/aj050252
Abstract:

Nowadays the buildings sector is one of the key sectors to achieve sustainability, with the correspondent consumers, in particular, the household consumers, having the need to perform sustainable choices every day, regarding the appliances to be acquired from the market. This is not only due to government’s growing concerns about sustainability but also with the…

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(This article belongs to the SP8 (Special Issue on Multidisciplinary Sciences and Engineering 2019-20) & Section Energy & Fuels (ENF))
Open AccessArticle
6 Pages, 601 KB Download PDF

Hybrid Autogyro: Model and Longitudinal Control for Wind Gust Energy Conversion Using Autorotation

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 2, Page # 393–398, 2020; DOI: 10.25046/aj050251
Abstract:

In the new technologies for producing electricity from wind gusts, a new class of wind power converter has been proposed. The hybrid autogyro uses the principle of autorotation to generate lift. This paper proposes to take advantage of this rotation to also generate energy. There are systems that use flying wings or airplanes to reach…

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(This article belongs to the SP8 (Special Issue on Multidisciplinary Sciences and Engineering 2019-20) & Section Aerospace Engineering (EAR))
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