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Open AccessArticle
5 Pages, 725 KB Download PDF

Influence of Torrefaction on Gasification of Torrefied Palm Kernel Shell

Advances in Science, Technology and Engineering Systems Journal, Volume 3, Issue 5, Page # 166–170, 2018; DOI: 10.25046/aj030521
Abstract:

In this study, torrefaction pretreatment on palm kernel shell (PKS) was investigated using fixed bed reactor. The PKS was torrefied at the temperatures of 210, 230, 250, 270 and 290 °C. The characteristics between untreated and torrefied PKS were compared. The results showed that, the mass and energy yield lessened, while the calorific value augmented…

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(This article belongs to the SP5 (Special Issue on Multidisciplinary Sciences and Engineering 2018) & Section Energy & Fuels (ENF))
Open AccessArticle
9 Pages, 847 KB Download PDF

Computation of Viability Kernels on Grid Computers for Aircraft Control in Windshear

Advances in Science, Technology and Engineering Systems Journal, Volume 3, Issue 1, Page # 502–510, 2018; DOI: 10.25046/aj030161
Abstract:

This paper is devoted to the analysis of aircraft dynamics in the cruise flight phase under windshear conditions. The study is conducted with reference to a point-mass aircraft model restricted to move in a vertical plane. We formulate the problem as a differential game against the wind disturbances: The first player, autopilot, manages, via additional…

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(This article belongs to the SP4 (Special issue on Advancement in Engineering Technology 2017-18) & Section Aerospace Engineering (EAR))
Open AccessArticle
7 Pages, 354 KB Download PDF

Theoretical developments for interpreting kernel spectral clustering from alternative viewpoints

Advances in Science, Technology and Engineering Systems Journal, Volume 2, Issue 3, Page # 1670–1676, 2017; DOI: 10.25046/aj0203208
Abstract:

To perform an exploration process over complex structured data within unsupervised settings, the so-called kernel spectral clustering (KSC) is one of the most recommended and appealing approaches, given its versatility and elegant formulation. In this work, we explore the relationship between (KSC) and other well-known approaches, namely normalized cut clustering and kernel k-means. To do…

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(This article belongs to the SP3 (Special issue on Recent Advances in Engineering Systems 2017) & Section Artificial Intelligence in Computer Science (CAI))
Open AccessArticle
15 Pages, 1,640 KB Download PDF

Optimization of Sheet Material Layout in Industrial Production Using Genetic Algorithms

Advances in Science, Technology and Engineering Systems Journal, Volume 10, Issue 5, Page # 51–65, 2025; DOI: 10.25046/aj100506
Abstract:

We address irregular polygon nesting on sheet materials with a lightweight evolutionary framework that operates directly in the layout space. The method formalizes multi-term fitness combining utilization, overlap penalties, spacing regularity, and local alignment, with all components normalized before aggregation. Feasibility is enforced by an AABB– SAT pipeline and validated via analytic ground-truth cases, degenerate…

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(This article belongs to the SP19 (Special Issue on Innovation in Computing, Engineering Science & Technology 2025-26) & Section Industrial Engineering (EID))
Open AccessArticle
9 Pages, 2,156 KB Download PDF

Forecasting the Weather behind Pa Sak Jolasid Dam using Quantum Machine Learning

Advances in Science, Technology and Engineering Systems Journal, Volume 8, Issue 3, Page # 54–62, 2023; DOI: 10.25046/aj080307
Abstract:

This paper extends the idea of creating a Quantum Machine Learning classifier and applying it to real weather data from the weather station behind the Pa Sak Jonlasit Dam. A systematic study of classical features and optimizers with different iterations of parametrized circuits is presented. The study of the weather behind the dam is based…

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(This article belongs to the SP14 (Special Issue on Computing, Engineering and Multidisciplinary Sciences 2022-23) & Section Artificial Intelligence in Computer Science (CAI))
Open AccessArticle
10 Pages, 1,135 KB Download PDF

Acoustic Scene Classifier Based on Gaussian Mixture Model in the Concept Drift Situation

Advances in Science, Technology and Engineering Systems Journal, Volume 6, Issue 5, Page # 167–176, 2021; DOI: 10.25046/aj060519
Abstract:

The data distribution used in model training is assumed to be similar with that when the model is applied. However, in some applications, data distributions may change over time. This situation is called the concept drift, which might decrease the model performance because the model is trained and evaluated in different distributions. To solve this…

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(This article belongs to the SP11 (Special Issue on Innovation in Computing, Engineering Science & Technology 2021) & Section Artificial Intelligence in Computer Science (CAI))
Open AccessArticle
14 Pages, 936 KB Download PDF

Generalized Integral Transform Method for Bending and Buckling Analysis of Rectangular Thin Plate with Two Opposite Edges Simply Supported and Other Edges Clamped

Advances in Science, Technology and Engineering Systems Journal, Volume 6, Issue 1, Page # 283–296, 2021; DOI: 10.25046/aj060133
Abstract:

This paper presents the generalized integral transform method for solving flexural and elastic stability problems of rectangular thin plates clamped along and simply supported along remaining boundaries (x = 0, x = a) (CSCS plate). The considered plate is homogeneous, isotropic and carrying uniformly distributed transversely applied loading causing bending. Also studied, is a plate…

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(This article belongs to Section Civil Engineering (ECV))
Open AccessArticle
11 Pages, 1,998 KB Download PDF

A Circular Invariant Convolution Model-Based Mapping for Multimodal Change Detection

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 5, Page # 1288–1298, 2020; DOI: 10.25046/aj0505155
Abstract:

The large and ever-increasing variety of remote sensing sensors used in satellite imagery today explains why detecting changes between identical locations in images that are captured, at two separate times, from heterogeneous capturing systems is a major and challenging recent research problem in the field of satellite imaging for fast and accurate determination of temporal…

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(This article belongs to the SP9 (Special Issue on Multidisciplinary Innovation in Engineering Science & Technology 2020) & Section Remote Sensing (RMS))
Open AccessArticle
10 Pages, 1,623 KB Download PDF

Feature Extractors Evaluation Based V-SLAM for Autonomous Vehicles

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 5, Page # 1137–1146, 2020; DOI: 10.25046/aj0505138
Abstract:

Visual Simultaneous Localization and Mapping known as V-SLAM, is an essential task for autonomous vehicles. It can be carried out using several sensors, in particular with on board cameras. To locate a vehicle, SLAM algorithms are based on two main tasks. The first task (front-end kernel) is intended to process images in order to provide…

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(This article belongs to the SP9 (Special Issue on Multidisciplinary Innovation in Engineering Science & Technology 2020) & Section Instruments & Instrumentation (IIN))
Open AccessArticle
6 Pages, 973 KB Download PDF

Sentiment Analysis on Utilizing Online Transportation of Indonesian Customers Using Tweets in the Normal Era and the Pandemic Covid-19 Era with Support Vector Machine

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 5, Page # 389–394, 2020; DOI: 10.25046/aj050549
Abstract:

Online transportation in Indonesia is a new trend of transportation that is currently used among the lower to upper society. The change in behavior began in 2011 and is growing to this day, The comments that are growing on social media are very important for the online transportation company the negative comments lower the level…

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(This article belongs to Section Information Systems in Computer Science (CIS))
Open AccessArticle
7 Pages, 548 KB Download PDF

Machine Learning for Network Intrusion Detection Based on SVM Binary Classification Model

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 4, Page # 638–644, 2020; DOI: 10.25046/aj050476
Abstract:

Recently, the number of connected machines around the worldwide has become very large, generating a huge amount of data either to be stored or to be communicated. Data protection is a concern for all institutions, it is difficult to manage the masses of data that are susceptible to multiple threats. In this work, we present…

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(This article belongs to the iraset-20 (Special Issue on Innovative Research in Applied Science, Engineering and Technology 2020) & Section Interdisciplinary Applications of Computer Science (CSI))
Open AccessArticle
6 Pages, 984 KB Download PDF

Application of Feature Extraction for Breast Cancer using One Order Statistic, GLCM, GLRLM, and GLDM

Advances in Science, Technology and Engineering Systems Journal, Volume 4, Issue 4, Page # 115–120, 2019; DOI: 10.25046/aj040413
Abstract:

The increasing number of breast cancer in recent years has attracted numerous researchers’ attention. Several techniques of Computer Aided Diagnosis System have been proposed as alternative solutions to diagnose breast cancer. The flaw of simply using the naked eye to see the differences between normal and with cancer mammogram images makes the texture analysis play…

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(This article belongs to Section Artificial Intelligence in Computer Science (CAI))
Open AccessArticle
5 Pages, 744 KB Download PDF

Virtual Memory Introspection Framework for Cyber Threat Detection in Virtual Environment

Advances in Science, Technology and Engineering Systems Journal, Volume 3, Issue 1, Page # 25–29, 2018; DOI: 10.25046/aj030104
Abstract:

In today’s information based world, it is increasingly important to safeguard the data owned by any organization, be it intellectual property or personal information. With ever increasing sophistication of malware, it is imperative to come up with an automated and advanced methods of attack vector recognition and isolation. Existing methods are not dynamic enough to…

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(This article belongs to the SP4 (Special issue on Advancement in Engineering Technology 2017-18) & Section Interdisciplinary Applications of Computer Science (CSI))
Open AccessArticle
10 Pages, 2,071 KB Download PDF

Classification of patient by analyzing EEG signal using DWT and least square support vector machine

Advances in Science, Technology and Engineering Systems Journal, Volume 2, Issue 3, Page # 1280–1289, 2017; DOI: 10.25046/aj0203162
Abstract:

Epilepsy is a neurological disorder which is most widespread in human beings after stroke. Approximately 70% of epilepsy cases can be cured if diagnosed and medicated properly. Electro-encephalogram (EEG) signals are recording of brain electrical activity that provides insight information and understanding of the mechanisms inside the brain. Since epileptic seizures occur erratically, it is…

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(This article belongs to the SP3 (Special issue on Recent Advances in Engineering Systems 2017) & Section Artificial Intelligence in Computer Science (CAI))
Open AccessArticle
6 Pages, 970 KB Download PDF

Singular Integral Equations in Electromagnetic Waves Reflection Modeling

Advances in Science, Technology and Engineering Systems Journal, Volume 2, Issue 3, Page # 82–87, 2017; DOI: 10.25046/aj020312
Abstract:

The processes of reflection of three-dimensional electromagnetic waves by locally irregular media interfaces are investigated. The problem under study is mathematically reduced to the solution of a boundary value problem for the Maxwell equations in an infinite space with an irregular boundary. In order to develop a numerical algorithm, the potential theory and a special…

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(This article belongs to the SP3 (Special issue on Recent Advances in Engineering Systems 2017) & Section Telecommunications (TEL))

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