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Corrigendum to "Stock market optimization amidst the COVID-19 pandemic: Technical analysis, K-means algorithm, and mean-variance model (TAKMV) approach" [9(7) (July 2023) e17577]

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Heliyon 2023年第8期9卷 e18640页

作者： Maricar M Navarro Michael Nayat Young Yogi Tri Prasetyo Jonathan V Taylar School of Industrial Engineering and Engineering Management Mapúa University 658 Muralla St. Intramuros Manila 1002 Philippines. School of Graduate Studies Mapúa University 658 Muralla St. Intramuros Manila 1002 Philippines. Department of Industrial Engineering Technological Institute of the Philippines Quezon City 938 Aurora Blvd Cubao Quezon City 1109 Metro Manila Philippines. International Bachelor Program in Engineering Yuan Ze University 135 Yuan-Tung Road Chung-Li 32003 Taiwan. Department of Industrial Engineering and Management Yuan Ze University 135 Yuan-Tung Road Chung-Li 32003 Taiwan. Department of Computer Engineering Technological Institute of the Philippines Quezon City 938 Aurora Blvd Cubao Quezon City 1109 Metro Manila Philippines.

[This corrects the article DOI: 10.1016/***.2023.e17577.].

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A drone-based rotating cascade impactor for single-particle analysis: Advancing aerosol mixing state research

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Atmospheric Research 2025年 325卷

作者： Songhui Lee Minwoo Baek Miri Kim Jaebeom Park Minsang Yoo Yongbum Kwon Kang-Ho Ahn Handol Lee Program in Environmental and Polymer Engineering Graduate School of Inha University 100 Inha-ro Michuhol-gu Incheon 22212 Republic of Korea Department of Environmental Engineering Inha University 100 Inha-ro Michuhol-gu Incheon 22212 Republic of Korea Korea National Institute of Rare Metals Korea Institute of Industrial Technology Namdong-gu Incheon 21655 Republic of Korea Department of Mechanical Engineering Hanyang University 55 Hanyangdaehak-ro Sangnok-gu Ansan 15588 Republic of Korea Particle Pollution Research and Management Center Inha University Incheon 21999 Republic of Korea

A novel drone-based aerosol sampling system, integrated with a rotating cascade impactor, was developed to enable size-selective sampling of atmospheric particles at upper altitudes. The system features rotating impaction stages that enable particle deposition suitable for single-particle analysis. For the first time, this platform was combined with Raman microspectroscopy (RMS) and surface-enhanced Raman spectroscopy (SERS) to perform detailed physicochemical characterization of airborne particles, including submicron aerosols, across ground level and aloft. Applied during a high-pollution event, the methodology enabled the characterization of particle mixing states, chemical functional groups, and size-dependent features that may be associated with aerosol transformation mechanisms. Single-particle analysis showed that internally mixed particles in the coarse-mode size range (1.35–5.5 μm) accounted for 53 % of the total in the upper-level sample, exceeding single-component particles by 20 %, which suggests multiphase processing and aging. Among sulfate-containing coarse particles, CaSO 4 was the dominant species (38 %), indicating secondary formation through heterogeneous reactions during long-range transport In the submicron range (<1 μm), nitrate particles dominated (77 %), attributed to freshly formed aerosols resulting from coastal air masses with limited aging. These results highlight the significance of integrating high-resolution vertical aerosol profiling into atmospheric observations, revealing differences not captured by ground-based measurements. Beyond the field findings, this study also demonstrates the utility of a lightweight, drone-mounted rotating cascade impactor system, which enables scalable, size-selective, and altitude-resolved single-particle sampling under atmospheric conditions. This integrated approach offers a novel and practical framework for advancing both aerosol instrumentation and our understanding of atmospheric particle dynamics.

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Macroscopic Fundamental Diagrams According to the Different Flood Depths on Probe Vehicle Data in Urban Bangkok

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Journal of Traffic and Transportation engineering 2020年第1期8卷 20-28页

作者： Piyapong Suwanno Prasan Jitpat Rattanaporn Kasemsri Bethala Aditya Atsushi Fukuda Program of Transportation Systems Engineering Graduate School of Science and TechnologyNihon UniversityChiba 274-8501Japan Research Unit of Technology and Innovation on Civil Engineering College of Industrial Technology and ManagementRajamangala University of Technology SrivijayaNakhon Si Thammrat 80210Thailand School of Civil Engineering Suranaree University of TechnologyNakhon Ratchasima 30000Thailand Department of Transportation Systems Engineering College of Science and TechnologyNihon UniversityChiba 274-8501Japan

Impact of flood depth on traffic volume in two different zones of the Bangkok road network was investigated using traffic data obtained from probe vehicle trajectories.A Macroscopic Fundamental Diagram(MFD)was utilized to compare traffic flow rates across two road network zones in the city for a variety of flood depths,namely 0-5 cm,5-10 cm,10-15 cm,15-30 cm,and more than 30 *** of empirical analysis over an observation period of one year as 2019 showed that flood depths had a strong correlation with the MFD parameters of free-flow speed,maximum flow,and traffic jam *** particular,road floods greatly reduced average maximum flow across the inner city road network in *** floods had a significant impact on traffic characteristics of urban road networks.

关键词： Road flood probe vehicle MFD

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Classification of the Structural Integrity by the General Vibration Method

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Procedia Computer Science 2019年 157卷 382-387页

作者： Fergyanto E. Gunawan Benfano Soewito Nico Surantha Tuga Mauritsius Nobumasa Sekishita Industrial Engineering Department BINUS Graduate Program - Master of Industrial Engineering Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Information Systems Information Department BINUS Graduate Program - Master of Information Systems Management Bina Nusantara University Jakarta Indonesia 11480 Department of Mechanical Engineering Toyohashi University of Technology Toyohashi Aichi 441-8580 Japan

Traditionally, for the purpose of classifying the integrity of an engineering structure, one may use the information of the natural frequencies or mode shapes or some other measures derived from the two. In this research, we propose a classification method on the basis of the general vibration model. The general vibration model is essentially a set of differential equations describing the dynamics of the structure under consideration. For the purpose of damage detection, a deviation of the general vibration model from the dynamic equilibrium point marks the occurrence of the damage. To demonstrate the effectiveness of the method, we study two simplest dynamical systems consisting of one- and two-concentrated masses subjected to a prescribed dynamic load. The structural damages are introduced artificially by reducing the stiffness of spring in the structures. We find that the general vibration model is more sensitive to damages than the traditional methods.

关键词： General Vibration Model Structural Integrity Structural Health Monitoring Power Spectral Density Damage Index

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A Study of the Sensitivity of the Fuel Consumption to Driving Strategy by Micro Simulation

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Procedia Computer Science 2019年 157卷 375-381页

Global warming due to excessive emission greenhouse gases is a significant issue faced by humanity, and collectively, cars and trucks contribute about 20% to the entire global-warming gases. For a reason, recently, many attempts have been endured to reduce the emission and to increase fuel efficiency, including vehicle platooning, better driving strategy, and increasing engine efficiency. This study intends to provide a more detail assessment regarding the effects of the driving strategy to fuel consumption. For the purpose, the vehicle dynamics are quantified by employing the car-following model based on the optimal velocity model. The fuel consumption is estimated from the regression model of Ahn 18 . The result suggests that the braking distance strongly affects fuel consumption.

关键词： Optimal Velocity Model Micro Simulation Car-Following Model Fuel Efficiency

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A robotic dating coaching system leveraging online communities posts

arXiv

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arXiv 2020年

作者： Jo, Sihyeon Joung, Eun Gyo So, Minseob Jung, Donghwi Nespoli, Giulia Seo, Seung-Woo Kim, Keonwoo Yoo, Seungryong Kim, Seong-Woo Department of Electrical and Computer Engineering Seoul National University Seoul Korea Republic of Technology Management Economics and Policy Program Seoul National University Seoul Korea Republic of Department of Industrial Engineering Seoul National University Seoul Korea Republic of Department of Civil and Environmental Engineering Seoul National University Seoul Korea Republic of Department of Industrial Design Seoul National University Seoul Korea Republic of Graduate School of Engineering Practice Seoul National University Seoul Korea Republic of

Can a robot be a personal dating coach? Even with the increasing amount of conversational data on the internet, the implementation of conversational robots remains a challenge. In particular, a detailed and professional counseling log is expensive and not publicly accessible. In this paper, we develop a robot dating coaching system leveraging corpus from online communities. We examine people’s perceptions of the dating coaching robot with a dialogue module. 97 participants joined to have a conversation with the robot, and 30 of them evaluated the robot. The results indicate that participants thought the robot could become a dating coach while considering the robot is entertaining rather than helpful. © 2020, CC-BY.

关键词： Social networking (online)

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A Mathematical Model for Internal Task Scheduling in Cross Docking

A Mathematical Model for Internal Task Scheduling in Cross D...

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IEEE International Conference on industrial engineering and engineering management

作者： D. Buakum W. Wisittipanich Graduate Program in Industrial Engineering Faculty of Engineering Chiang Mai University Thailand Excellence Center in Logistics and Supply Chain Management Chiang Mai University Thailand

This study proposes a novel problem for solving task scheduling in cross docking. In particular, we formulate a mathematical model for the task scheduling between inbound and outbound dock doors in order to minimize total operational time based on limited resource. The goal is to determine the start time and finish time of each operation on the assigned working team and transfer equipment with respect to maximum resource utilization. The use of mathematical model is paving the way to Artificial Intelligence (AI) for smart decision in cross docking since AI is a key factor in Industries 4.0. Moreover, facility cost is analyzed based on trade-off features between cost and makespan so that a decision can be made based on a decision maker's preference.

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A condition-based maintenance policy for a system deteriorating with age and usage

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IOP Conference Series: Materials Science and engineering 2020年第1期1003卷

作者： Debby C Lubis Bermawi P Iskandar Graduate Program in Industrial Engineering and Management Bandung Institute of Technology Bandung Indonesia Department of Industrial Engineering Bandung Institute of Technology Bandung Indonesia

The rapid development of sensor and maintenance technologies support the implementation of a Condition-Based Maintenance (CBM) policy. The CBM policy is an effective way for reducing or even eliminating failure of a system and hence it will minimize the maintenance cost and increase the system's availability and productivity. In this study, we propose a CBM policy with periodic inspection to control the system's deterioration level. The deterioration is modelled by using a Gamma process with its shape parameter is assumed to be affected by the system's age and usage. The maintenance action is imperfect in the sense that it restores the level of the deterioration to a fixed level that is not as-good-as-new condition. We use a simulation approach to simulate the deterioration process and the impact of maintenance action to the deterioration level, and to find an optimal inspection interval for a given preventive threshold, which minimizes the total maintenance cost.

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Vibration-based classification of road damages: Gyroscope data and a simple neural network model 2

Vibration-based classification of road damages: Gyroscope da...

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2nd International Conference on Eco engineering Development 2018, ICEED 2018

作者： Gunawan, Fergyanto E. Herriyandi Soewito, Benfano Mauritsius, Tuga Surantha, Nico Industrial Engineering Department BINUS Graduate Program - Master of Industrial Engineering Bina Nusantara University Jakarta11480 Indonesia Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta11480 Indonesia Information Systems Management Department BINUS Graduate Program - Master of Information Systems Management Bina Nusantara University Jakarta11480 Indonesia

A system for automatic detection of road damages is essential for logistics management. At the core of the system lies an algorithm for classification of damages. This work intends to establish such an algorithm. In the current proposal, the algorithm receives data of the probe vehicle rate of rotations, extracts statistics descriptive from the data to produce a feature vector, and finally, feeds the vector to a simple-three-layer neural network to classify the damages. The types of damages are limited to four cases: normal, pothole, speed bump, and expansion joint. For the development, a probe vehicle is used to produce 400 empirical data involving those four damage cases. By using Monte Carlo approach, the established neural network model is evaluated. The results show that the approach is able to classify the cases with 85% accuracy. The study also finds that the rates of pitch and roll to be the determining factors. © 2018 Institute of Physics Publishing. All rights reserved.

关键词： Neural network models

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Exchange rate volatility and exports: A panel data analysis for 5 ASEAN countries 8

Exchange rate volatility and exports: A panel data analysis ...

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8th International Seminar on New Paradigm and Innovation on Natural Sciences and Its Application, ISNPINSA 2018

作者： Subanti, S. Hakim, A.R. Riani, A.L. Hakim, I.M. Nasir, M.S. Department of Statistics Universitas Sebelas Maret Indonesia Graduate Program in Economics Universitas Indonesia Indonesia Department of Industrial Engineering Universitas Indonesia Indonesia Department of Management Universitas Sebelas Maret Indonesia Institute for Research and Social Services Universitas Sebelas Maret Indonesia Department of Development Economics Universitas Ahmad Dahlan Indonesia

The study of the effects of exchange rate volatility has still attracted the attention among economist, especially international economist. Because, if the exchange rate is unpredictable, it makes uncertainty about the profits to be gained, so this conditions may diminish the gain from international trade. In addition, some empirical literature provides various findings, where the exchange rate volatility has a positive effect on exports and can also negatively effect on exports. This paper wants to provide empirical evidence on both of these. It uses panel data involving five ASEAN countries with a period of 2000-2016. We also apply some analysis in panel data, such as the pooled least squares method, the fixed effect method, and the random effect method. The findings show that the exchange rate volatility has negative impact on exports. This paper suggests that each of central bank should pursue sustainable and stable exchange rate policy measures to promote greater exchange rate stability that would help to enhance the real exports of the economy. © Published under licence by IOP Publishing Ltd.

关键词： International trade

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