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Open AccessArticle
7 Pages, 734 KB Download PDF

Power Saving MAC Protocols in Wireless Sensor Networks: A Performance Assessment Analysis

Advances in Science, Technology and Engineering Systems Journal, Volume 6, Issue 4, Page # 341–347, 2021; DOI: 10.25046/aj060438
Abstract:

Wireless sensor networks are an emerging technology that is used to monitor points or objects of interest in an area. Despite its many applications, this kind of network is often limited by the fact that it is difficult to provide energy to the nodes continuously, forcing the use of batteries, which restricts its operations. Network…

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(This article belongs to Section Network Engineering (ENW))
Open AccessArticle
8 Pages, 898 KB Download PDF

Electroencephalogram Based Medical Biometrics using Machine Learning: Assessment of Different Color Stimuli

Advances in Science, Technology and Engineering Systems Journal, Volume 6, Issue 3, Page # 27–34, 2021; DOI: 10.25046/aj060304
Abstract:

A methodology of medical signal-based biometrics has been proposed in this paper for implementing a human identification system controlled by electroencephalogram in respect of different color stimuli. The advantage of biosignal based biometrics is that they provide more efficient operation in simple experimental condition to ensure accurate identification. Red, Green, Blue (primary colors) and Yellow…

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(This article belongs to the SP10 (Special Issue on Multidisciplinary Sciences and Engineering 2020-21) & Section Biomedical Engineering (EBI))
Open AccessArticle
9 Pages, 962 KB Download PDF

Development of an EEG Controlled Wheelchair Using Color Stimuli: A Machine Learning Based Approach

Advances in Science, Technology and Engineering Systems Journal, Volume 6, Issue 2, Page # 754–762, 2021; DOI: 10.25046/aj060287
Abstract:

Brain-computer interface (BCI) has extensively been used for rehabilitation purposes. Being in the research phase, the brainwave based wheelchair controlled systems suffer from several limitations, e.g., lack of focus on mental activity, complexity in neural behavior in different conditions, and lower accuracy. Being sensitive to the color stimuli, the EEG signal changes promises a better…

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(This article belongs to the SP10 (Special Issue on Multidisciplinary Sciences and Engineering 2020-21) & Section Bioinformatics (BIF))
Open AccessArticle
7 Pages, 958 KB Download PDF

Blockchain Technology-Based Good Distribution Practice Model of Pharmacy Industry in Indonesia

Advances in Science, Technology and Engineering Systems Journal, Volume 6, Issue 2, Page # 267–273, 2021; DOI: 10.25046/aj060230
Abstract:

Distribution is the main activity in integrated product supply chain management. In the pharmaceutical industry, the process of drug distribution is important because of the handling, storage, and distribution of medicinal products with good standards and quality. The problem that occurs in the pharmaceutical industry is the circulation of counterfeit drugs by related parties, for…

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(This article belongs to Section Information Systems in Computer Science (CIS))
Open AccessArticle
7 Pages, 963 KB Download PDF

Fault Diagnosis and Noise Robustness Comparison of Rotating Machinery using CWT and CNN

Advances in Science, Technology and Engineering Systems Journal, Volume 6, Issue 1, Page # 1279–1285, 2021; DOI: 10.25046/aj0601146
Abstract:

For systems using rotating machinery, diagnosing the faults of the rotating machinery is critical for system maintenance. Recently, a machine learning algorithm has been employed as one of the methods for diagnosing the faults of rotating machinery. This algorithm has an advantage of automatically classifying faults without an expert knowledge. However, despite a good training…

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(This article belongs to Section Electrical Engineering (ELE))
Open AccessArticle
8 Pages, 1,792 KB Download PDF

Challenges and New Paradigms in Conservation of Heritage-based Villages in Rural India -A case of Pragpur and Garli Villages in Himachal Pradesh

Advances in Science, Technology and Engineering Systems Journal, Volume 6, Issue 1, Page # 1112–1119, 2021; DOI: 10.25046/aj0601124
Abstract:

The research paper aims to focus on the issues and challenges in developing a sustainable model of an ideal heritage village project by using descriptive and empirical investigation methods. To capture the perception and understanding of the concept of sustainability of a Heritage Village, a mixed-methods approach was conducted by the researcher where document where…

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(This article belongs to the SP10 (Special Issue on Multidisciplinary Sciences and Engineering 2020-21) & Section Architectural Engineering (EAH))
Open AccessArticle
14 Pages, 979 KB Download PDF

Active Disturbance Rejection Control Design for a Haptic Machine Interface Platform

Advances in Science, Technology and Engineering Systems Journal, Volume 6, Issue 1, Page # 898–911, 2021; DOI: 10.25046/aj060199
Abstract:

This paper proposes an active disturbance rejection control (ADRC) design for a haptic display platform structure. The motivation for the following scheme originates from the shortcomings faced by classical proportional integral derivative (PID) controllers in control theory. The ADRC is an unconventional model-independent approach, acknowledged as an effective controller in the existence of total plant…

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(This article belongs to the SP10 (Special Issue on Multidisciplinary Sciences and Engineering 2020-21) & Section Automation & Control Systems (ACS))
Open AccessArticle
8 Pages, 985 KB Download PDF

Diagnosis of Tobacco Addiction using Medical Signal: An EEG-based Time-Frequency Domain Analysis Using Machine Learning

Advances in Science, Technology and Engineering Systems Journal, Volume 6, Issue 1, Page # 842–849, 2021; DOI: 10.25046/aj060193
Abstract:

Addiction such as tobacco smoking affects the human brain and thus causes significant changes in the brainwaves. The changes in brain wave due to smoking can be identified by focusing on changes in electroencephalogram pattern, extracting different time-frequency domain features. In this aspect, a laboratory-based study has been presented in this paper, for assessing the…

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(This article belongs to the SP10 (Special Issue on Multidisciplinary Sciences and Engineering 2020-21) & Section Bioinformatics (BIF))
Open AccessArticle
14 Pages, 1,619 KB Download PDF

Multiple Machine Learning Algorithms Comparison for Modulation Type Classification Based on Instantaneous Values of the Time Domain Signal and Time Series Statistics Derived from Wavelet Transform

Advances in Science, Technology and Engineering Systems Journal, Volume 6, Issue 1, Page # 658–671, 2021; DOI: 10.25046/aj060172
Abstract:

Modulation type classification is a part of waveform estimation required to employ spectrum sharing scenarios like dynamic spectrum access that allow more efficient spectrum utilization. In this work multiple classification features, feature extraction, and classification algorithms for modulation type classification have been studied and compared in terms of classification speed and accuracy to suggest the…

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(This article belongs to the SP10 (Special Issue on Multidisciplinary Sciences and Engineering 2020-21) & Section Artificial Intelligence in Computer Science (CAI))
Open AccessArticle
15 Pages, 2,437 KB Download PDF

Comparison of Machine Learning Parametric and Non-Parametric Techniques for Determining Soil Moisture: Case Study at Las Palmas Andean Basin

Advances in Science, Technology and Engineering Systems Journal, Volume 6, Issue 1, Page # 636–650, 2021; DOI: 10.25046/aj060170
Abstract:

Soil moisture is one of the most important variables to monitor in agriculture. Its analysis gives insights about strategies to utilize better a particular area regarding its use, i.e., pasture for cows (or similar), production forests, or even to answer what crops should be planted. The vertical structure of the soil moisture plays an important…

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(This article belongs to the SP10 (Special Issue on Multidisciplinary Sciences and Engineering 2020-21) & Section Agricultural Engineering (AEN))
Open AccessArticle
8 Pages, 895 KB Download PDF

Analysis of Pharmaceutical Company Websites using Innovation Diffusion Theory and Technology Acceptance Model

Advances in Science, Technology and Engineering Systems Journal, Volume 6, Issue 1, Page # 464–471, 2021; DOI: 10.25046/aj060150
Abstract:

The progress of information using websites is developing fast, impacting various sectors, one of which is pharmaceutical companies. Pharmaceutical companies have roles in drug manufacturing, pharmaceutical distribution, and essential services for the community—the most important and challenging activity in the IT department. The researcher is responsible for one of the Bandung pharmaceutical companies. Researchers are…

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(This article belongs to Section Software Engineering in Computer Science (CSE))
Open AccessArticle
9 Pages, 858 KB Download PDF

An Evaluation of some Machine Learning Algorithms for the detection of Android Applications Malware

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 6, Page # 1741–1749, 2020; DOI: 10.25046/aj0506208
Abstract:

Android Operating system (OS) has been used much more than all other mobile phone’s OS turning android OS to a major point of attack. Android Application installation serves as a major avenue through which attacks can be perpetrated. Permissions must be first granted by the users seeking to install these third-party applications. Some permissions can…

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(This article belongs to the SP10 (Special Issue on Multidisciplinary Sciences and Engineering 2020-21) & Section Information Systems in Computer Science (CIS))
Open AccessArticle
7 Pages, 635 KB Download PDF

A Machine Vision Approach for Underwater Remote Operated Vehicle to Detect Drowning Humans

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 6, Page # 1734–1740, 2020; DOI: 10.25046/aj0506207
Abstract:

Today, Drowning is the 3rd major cause for unintentional injury death accounting for 7% of deaths of all injury deaths. Drowning is a state of suffocation when water or other fluids accumulate the lungs, resulting in respiratory impairment, ultimately leading to death. The predominant problem during rescue operations of such accidental drowning is to locate…

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(This article belongs to the SP10 (Special Issue on Multidisciplinary Sciences and Engineering 2020-21) & Section Ocean Engineering (EOC))
Open AccessArticle
6 Pages, 753 KB Download PDF

Handling Priority Data in Smart Transportation System by using Support Vector Machine Algorithm

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 6, Page # 1422–1427, 2020; DOI: 10.25046/aj0506172
Abstract:

In an intelligent transportation system (ITS), time is a big challenge since processing a huge amount of data in a short time is very difficult, especially when the processed data is heterogeneous, consisting of a mixture of emergency data, normal data, and noise. In an ITS, an ambulance is one of the priority vehicles, and…

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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
11 Pages, 931 KB Download PDF

Towards a Documents Processing Tool using Traceability Information Retrieval and Content Recognition Through Machine Learning in a Big Data Context

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 6, Page # 1267–1277, 2020; DOI: 10.25046/aj0506151
Abstract:

In 1980, an application was developed to track, manage and store documents in electronic format. Scan technology has enabled organizations to digitize papers for easier document storage and tracking. Document management tools have since developed by introducing new functionalities, related to security, users services, workflow and audit. Our research is part of the context of…

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(This article belongs to Section Artificial Intelligence in Computer Science (CAI))
Open AccessArticle
6 Pages, 884 KB Download PDF

Comparison of Support Vector Machine-Based Equalizer and Code-Aided Expectation Maximization on Fiber Optic Nonlinearity Compensation Using a Proposed BER Normalized by Power and Distance Index

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 6, Page # 738–743, 2020; DOI: 10.25046/aj050689
Abstract:

Advances in optimizing optical fiber communications have been on the rise these recent years due to the increasing demand for larger data bandwidths and overall better efficiency. Coherent optics have focused on many kinds of research due to its ability to transport greater amounts of information, have better flexibility in network implementations, and support different…

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(This article belongs to Section Telecommunications (TEL))
Open AccessArticle
8 Pages, 1,842 KB Download PDF

Extending the Classifier Algorithms in Machine Learning to Improve the Performance in Spoken Language Understanding Systems Under Deficient Training Data

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 6, Page # 464–471, 2020; DOI: 10.25046/aj050655
Abstract:

One of the open domain challenges for Spoken Dialogue System (SDS) is to maintain a natural conversation for rarely visited domain i.e. domain with fewer data. Spoken Language Understanding (SLU) is a component of SDS that converts user utterance into a semantic form that a computer can understand. If we scale SDS open domain challenge…

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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
8 Pages, 492 KB Download PDF

Complex Order PI\(^{\alpha + j\beta} \)D\(^{\gamma+j\theta}\) Design for Surface Roughness Control in Machining CNT Al-Mg Hybrid Composites

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 6, Page # 299–306, 2020; DOI: 10.25046/aj050636
Abstract:

Accurate machining control is indispensable for the smart factories of tomorrow. Variations in controller responses may cause unacceptable process deviations during machining leading to productivity losses and possible damage. In the present work, a complex order PIα+jβDγ+jθ(COPID) controller was designed to effectively control surface roughness generation while machining CNT Al-Mg hybrid composites. Performance of the…

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(This article belongs to the SP9 (Special Issue on Multidisciplinary Innovation in Engineering Science & Technology 2020) & Section Composites in Materials Science (MCM))
Open AccessArticle
10 Pages, 1,094 KB Download PDF

Overmind: A Collaborative Decentralized Machine Learning Framework

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 6, Page # 280–289, 2020; DOI: 10.25046/aj050634
Abstract:

This paper is an extension of work originally presented in PM2.5 Prediction-based Weather Forecast Information and Missingness Challenges: A Case Study Industrial and Metropolis Areas, which focused on imputation algorithm to solve missingness challenge and demonstrated a basic prediction system to prove the proposed algorithm, II-MPA. Distributed and decentralized systems, recently, have been proven for…

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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
8 Pages, 1,543 KB Download PDF

Review of Orange Juice Extractor Machines

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 5, Page # 485–492, 2020; DOI: 10.25046/aj050560
Abstract:

There is some agricultural equipment for post harvesting of Orange fruit Juice, all the machine is geared towards extraction of the fruit juice. Fruit juice extraction is the act of wringing out the juice content of fruits by way of an effective processing and storage which enhance reduction in wastage. Fruit juices which literally have…

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(This article belongs to Section Mechanical Engineering (EMH))
Open AccessArticle
9 Pages, 835 KB Download PDF

Interpretation of Machine Learning Models for Medical Diagnosis

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 5, Page # 469–477, 2020; DOI: 10.25046/aj050558
Abstract:

Machine learning has been dramatically advanced over several decades, from theory context to a general business and technology implementation. Especially in healthcare research, it is obvious to perceive the scrutinizing implementation of machine learning to warranty the rewarded benefits in early disease detection and service recommendation. Many practitioners and researchers have eventually recognized no absolute…

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(This article belongs to the SP10 (Special Issue on Multidisciplinary Sciences and Engineering 2020-21) & Section Bioinformatics (BIF))
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
9 Pages, 1,009 KB Download PDF

Supervised Machine Learning Based Medical Diagnosis Support System for Prediction of Patients with Heart Disease

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 5, Page # 269–277, 2020; DOI: 10.25046/aj050533
Abstract:

Application in the field of medical development has always been one of the most important research areas. One of these medical applications is the early prediction system for heart diseases especially; coronary artery disease (CAD) also called atherosclerosis. The need for a medical diagnosis support system is to detect atherosclerosis at the earlier stages to…

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(This article belongs to Section Artificial Intelligence in Computer Science (CAI))
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, 763 KB Download PDF

Customer Satisfaction Recognition Based on Facial Expression and Machine Learning Techniques

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 4, Page # 594–599, 2020; DOI: 10.25046/aj050470
Abstract:

Nowadays, Customer satisfaction is important for businesses and organizations. Manual methods exist, namely surveys and distributing questionnaires to customers. However, marketers and businesses are looking for quick ways to get effective and efficient feedback results for their potential customers. In this paper, we propose a new method for facial emotion detection to recognize customer’s satisfaction…

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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))

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