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2020 International Conference on Data Science and Its Applications, ICoDSA 2020

作者： Meliala, Litany Juliansah, Tabah Adytia, Didit Sidiq, Teguh Purnama Windupranata, Wiwin Poerbandono Institut Teknologi Bandung Geodesy and Geomatics Engineering Study Program Bandung Indonesia Telkom University School of Computing Bandung Indonesia Institut Teknologi Bandung Geodesy Research Group Faculty of Earth Sciences and Technology Bandung Indonesia Institut Teknologi Bandung Hydrography Research Group Faculty of Earth Sciences and Technology Bandung Indonesia

ISBN: (纸本)9781728182353

In this presented paper, an effort to improve the accuracy of the bathymetric model derived from optical satellite imagery is discussed. According to the previous study, the accuracy approximately measures in 2 m for depth up to 10 m by means of the Global Bathymetric Inversion Methods. Therefore, the improvement is done based on the so-called Cluster-Based Method applied to the analytical and log-ratio methods. The Cluster-Based Method partitions the working area on the by classifying the errors between the known depths and the predicted ones. The data for the known and predicted depths are acquired from the in-situ survey and the Sentinel-2 imagery. Improvement by one-third to the accuracy of the resulting bathymetry is obtained. © 2020 IEEE.

关键词： Bathymetry

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Physical progress analysis of structure works using earned value management integrated with artificial neural network

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AIP Conference Proceedings 2021年第1期2447卷

作者： Muhammad Farhan Apif Miptahul Hajji Aisyah Larasati 1Industrial Engineering Study Program State University of Malang Indonesia 2Civil Engineering Study Program State University of Malang Indonesia

Analysis of physical progress is useful for knowing project conditions and avoiding potential delays in construction projects. Analysis in this study aims to evaluate physical progress and estimate the completion time of structure works of Integrated Building Classroom State University of Malang (GKB UM) by integrating Earned Value Management and Artificial Neural Network. The results showed that the cumulative physical progress of the structural work was delayed by 24 weeks. The delay in loading test bored pile due to weather, damage to the tower crane and concrete pump tools, mobilization of tools and design changes to the superstructure were some of the problems encountered during the process of building structure works on GKB UM. The Artificial Neural Network model produces a small deviation between the predicted and the actual physical progress and suitable for estimating project completion.

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Environmental Footprint Analysis Tools of Electrokinetic Remediation (EKR): A Bibliometric View of The Literature

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IOP Conference Series: Earth and Environmental Science 2022年第1期950卷

作者： Y V Paramitadevi B Ratnawati A J Effendi S Hidayat M A Budihardjo B S Ramadan Environmental Engineering and Management Program The Vocational Studies of IPB University Bogor 16154 Indonesia Department of Environmental Engineering Faculty of Environmental and Civil Engineering Institut Teknologi Bandung Bandung 40132 Indonesia Department of Environmental Engineering Faculty of Engineering Universitas Diponegoro Semarang 50277 Indonesia

Electrokinetic remediation (EKR) technology has been applied in both lab and pilot scales to actual size since 1993. Recently, sustainable measures for EKR have been relatively considered a form of minimizing resource use during land restoration. This study aims to identify the environmental footprint assessment tools that arise during the EKR process according to the scale of the application. 284 scientific literature indexed by Scopus and the Web of Science during 2011-2021 was analyzed using the Systematic Literature Review (SLR) method, and the results were visualized using the VOSviewer application. The investigated parameters included the amount of scientific literature, year of publication, topics of scientific literature, authors of literature and their country of origin, names of reputable journals, and a number of citations. Research results from 43 scientific literature studies show that different environmental footprint analyses in EKR have been applied in various parts of the world. Most of environmental footprint assessment tools used by researchers include life cycle assessment (LCA) and green and sustainable remediation (GSR) tools. A recommendation is given to the GSR tools developed by the US EPA because known to have the simplest analytical method compared to other methods.

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Sweat sensing in wearable sensor: A review of the future non-invasive technology for real-time health monitoring system

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AIP Conference Proceedings 2022年第1期2537卷

作者： Elly Septia Yulianti Nurul Intan Siti Fauziyah Rahman Basari 1Biomedical Engineering Study Program Department of Electrical Engineering Faculty of Engineering Universitas Indonesia Kampus UI Depok West Java 16424 Indonesia 2Research Center for Biomedical Engineering Faculty of Engineering Universitas Indonesia Kampus UI Depok West Java 16424 Indonesia

Wearable sensors are devices used in the diagnostic process for real-time health monitoring systems. Types of sensors are generally based on physical sensors and chemical sensors. However, the types of wearable sensors that are largely commercialized are limited to physical sensors. Some diagnostic processes generally use the blood collecting method to determine a patient’s condition. However, this method can cause adverse effects such as infection, pain, and bruising for some patients. Chemical-based wearable sensors are capable of detecting metabolic conditions in the body and can be an alternative to the existing method. Based on an approach using alternative analytes, sweat is the most frequently used because it is highly accessible and proceeds good parameters compared to the blood. Several studies related to wearable sensors using sweat have been done to increase convenience during the sampling process. Electrochemical, biosensor, and hybrid with several sampling methods, including microfluidic system, absorbent material, superhydrophobic-super hydrophilic surface, and iontophoresis, can be used for wearable sensor analysis method. Over the past decade, the characteristics of wearable sensors (i.e., selectivity, sensitivity, stability, and response time), textile materials, and biofuel cell technology for self-powered sensor development have also increased. From these classifications, it can be concluded that the method which is highly feasible to be developed is electrochemical wearable sensors that combine microfluidic and iontophoresis systems. The system is also expected to have stretchable material and is equipped with an integrated biofuel cell system that has the potential to be developed in our upcoming research topic.

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Developing Indicators of Green Initiation and Green Design of Green Supply Chain Management in Construction Industry

Developing Indicators of Green Initiation and Green Design o...

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作者： Mochamad Agung Wibowo Naniek Utami Handayani Nur Farida Asri Nurdiana Department of Civil Engineering Faculty of Engineering Diponegoro University Department of Industrial Engineering Faculty of Engineering Diponegoro University Study Program of Civil Engineering Vocational School Diponegoro University

Project is a set of interrelated activities and requires skills from different professions, and also project is involved the various of stakeholders in each phase of the Project Life Cycle. Implementation of Green Supply Chain in construction projects meant to bring the concept of eco-friendly in every process from the initiation phase, planning phase, the construction phase, and the operation and maintenance phase. It is necessary to identify indicators of green initiation and green design and how to explain the relationship between the role of initiation by the owner and the design process by a design consultant. This study aims to identify the indicators of green initiation and green design concept as part of Green Supply Chain. The method used for this study is a descriptive research that identifies and develop a framework for implementing green initiation and green design in construction industry that consists of concept, dimensions, elements, and indicators. GSCM in construction projects was determined by 9 indicators in the green initiation phase and 40 indicators in the green design phase. The success of green concept in construction project is very determined from these two phases as the beginning of the process, and the most important parties are the owners and design consultants.

关键词： Project Developing Indicators of Green Initiation and Green Design of Green Supply Chain Management in Construction Industry

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Design of BCI motor imagery classification using WPT-CSP and CNN

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AIP Conference Proceedings 2022年第1期2537卷

作者： Dio Alif Pradana Basari 1Biomedical Engineering Study Program Department of Electrical Engineering Faculty of Engineering Universitas Indonesia Kampus UI Depok West Java 16424 Indonesia 2Research Center for Biomedical Engineering Faculty of Engineering Universitas Indonesia Kampus UI Depok West Java 16424 Indonesia

This study proposes a new method in an electroencephalograph (EEG)-based Brain-Computer Interface (BCI) that can directly utilize brain signals to control external devices. The motor Imagery (MI) signal, which contains an image of a certain limb movement, is generally used in BCI. It does not need direct movements. The implementation of MI-EEG signal into BCI still experiences major issues because the patterns obtained for each recording can vary from one another even though they have the same type of motion. In this study, we utilized the Wavelet Packet Transform (WPT) method to decompose the EEG signal into specific sub-band frequencies and Common Spatial Pattern (CSP) as a spatial filter to increase the spatial resolution of the EEG signal. The Convolutional Neural Network (CNN) was subsequently selected for training from the classifier. Next, the results of the training were used to classify the movements of the given MI-EEG. We evaluated the model using dataset 2a from Brain-Computer Interface Competition (BCIC) IV. The results of this method showed the increase in the accuracy of 32% and in Kappa up to 0.42 and the decrease in Root Mean Square Error (RMSE) up to 1.21, compared with only using CNN as the classifier. These results showed fairly good performance compared to other methods used previously in dataset 2a from BCIC IV.

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Biomechanical Analysis of Odontoid and Transverse Atlantal Ligament in Humans with Ponticulus Posticus Variation Under Different Loading Conditions: Finite Element study

SSRN

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SSRN 2022年

作者： Güvercin, Yılmaz Yaylacı, Murat Dizdar, Ayberk Kanat, Ayhan Yaylacı, Ecren Uzun Ay, Sevil Abdioğlu, Ahmet Atilla Şen, Ahmet Trabzon Kanuni Training and Research Hospital Department of Orthopaed & Traumatol Trabzon61000 Turkey Recep Tayyip Erdogan University Biomedical Engineering MSc Program Rize53100 Turkey Recep Tayyip Erdogan University Department of Civil Engineering Rize53100 Turkey Kocaeli University Department of Biomedical Engineering Kocaeli41380 Turkey Recep Tayyip Erdogan University Department of Neurosurgery Rize53100 Turkey Karadeniz Technical University Surmene Faculty of Marine Science Trabzon61530 Turkey Department of Civil Engineering Artvin Coruh University Artvin08100 Turkey Fatih State Hospital Orthopaed & Traumatol Trabzon61100 Turkey University of Health Sciences Trabzon Kanuni Training and Research Hospital Anesthesiaa and Reanimation Department Trabzon61100 Turkey

Purpose: Ponticulus posticus (PP) is a variation of the bone bridge that appears in the first cervical vertebra and through which the vertebral artery passes. Odontoid fractures are common spinal bone fractures in older people. This study aims to investigate the effect of neck movements on the odontoid and transverse atlantal ligament (TAL) of people with PP variation from a biomechanical ***: C1, C2, and C3 vertebrae of the occipital bone were analyzed using the finite element method (FEM). In this study, solid models were created with the help of normal (N), incomplete (IC), and asymmetric complete (AC) PP tomography images. The necessary elements for the models were assigned, and the material properties were defined for the elements. As boundary conditions, models were fixed from the C3 vertebra, and 74 N loading was applied from the occipital bone. Stress and deformation values in the odontoid and transverse atlantal ligament were obtained by applying 1.8 Nm moment in flexion, extension, bending, and axial rotation ***: As a result of this study, the stress and deformation values of all three models in odontoid and TAL were obtained, and numerical results were evaluated. In all models, stress and deformation values were obtained in decreasing order in rotation, bending, extension, and flexion movements. The highest stress and strain values were obtained in AC and the lowest in N. In all movements of the three models, the stress and deformation values obtained in the TAL are lower than in ***: The greatest stresses and deformations obtained in spines (AC) with PP were found in the odontoid. This may help explain the pathogenesis of odontoid fractures in older people. First, this study explains the mechanism of formation of neck trauma in people with PP and the need for a more careful evaluation of the direction of arrival. Secondly, the study shows that the rotational motion of the neck independent of PP has more negative ef

关键词： Finite element method

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In vivo investigation of 3D printed polycaprolactone/graphene electro-active bone scaffolds

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Bioprinting 2021年 24卷

作者： Lopes Nalesso, Paulo Roberto Wang, Weiguang Hou, Yanhao Bagne, Leonardo Pereira, Amanda Tavares Helaehil, Julia Venturini Moretti de Andrade, Thiago Antônio Chiarotto, Gabriela Bortolança Bártolo, Paulo Caetano, Guilherme Ferreira Graduate Program in Biomedical Sciences University Centre of Herminio Ometto Foundation Sao Paulo Araras 13607-339 Brazil Department of Mechanical Aerospace and Civil Engineering School of Engineering Faculty of Science and Engineering The University of Manchester Manchester M13 9PL United Kingdom

Additive manufactured scaffolds are widely used as 3D support structures for tissue engineering. This paper investigates the mechanisms behind bone regeneration due to the combined use of 3D printed poly (ϵ-caprolactone)/graphene (PCL/G) electro-active scaffolds and electrical stimulation. A comprehensive in vivo study was conducted to assess the proposed approach, using a rat model. Results show that the combined use of electro-active scaffolds and electrical stimulation therapy accelerates the bone regeneration process and the formation of more organized new bone, through fast angiogenesis, and a rapid transition to the mineralization and bone remodelling phase. The mechanism is investigated and explained. © 2021

关键词： Additive manufacturing Electrical stimulation Electro-active scaffolds Graphene In vivo bone Regeneration Poly(ϵ-caprolactone) Tissue engineering

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The effect of fiber volume fraction on tensile and impact properties of eleusine indica grass reinforced polypropylene bio composite 1

The effect of fiber volume fraction on tensile and impact pr...

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1st International Conference on Design, Energy, Materials and Manufacture, ICDEMM 2018

作者： Lokantara, I.P. Suardana, N.P.G. Surata, I.W. Winaya, I.N.S. Doctoral Study Program of Engineering Science Faculty of Engineering Udayana University Kampus Sudirman Denpasar-Bali Indonesia Mechanical Engineering Department Udayana University Street of Bukit Jimbaran Bali Badung Indonesia

The purpose of this research was to investigate the tensile strength and impact strength of eleusine indica grass fiber-reinforced polypropylene recycle composite. In this study, the fiber was treated with alkali at 5% NaOH for 2 hours. The eleusine indica grass fiber cut with a length of 3 cm and the matrix used recycle polypropylene. In this research, the volume fraction of eleusine indica grass fiber varied by 20%, 25%, and 30% respectively. The composite molded with a hot press at temperature 200°C with a holding time for 2 hours. Tensile test used ASTM D3039 and impact test used ASTM D256. The highest tensile and impact strength results on fiber volume fraction 30%. © Published under licence by IOP Publishing Ltd.

关键词： Polypropylenes

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Investigation on mechanical properties of fiber reinforced concrete

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IOP Conference Series: Earth and Environmental Science 2021年第1期758卷

作者： R Nurwidayati A F Fardheny Asyifha Civil Study Department Faculty of Engineering Lambung Mangkurat University Indonesia

Concrete has high compression strength but low tensile strength. Therefore fibers are added to enhance the tensile strength. South Kalimantan is one of Indonesia's largest wetlands, and the banana tree is common in this area. After harvesting, they are accumulated or be burned, causing pollution. Utilizing banana tree waste as fiber in the concrete minimizes it. This paper investigated the effect of banana fiber length and percentage of fiber by volume fraction on the compressive of mortar, tensile, and compressive concrete strength. The correlation between the compressive and tensile strength was further established. The percentage of fiber used in this research was 0.1%, 0.2%, and 0.3%, and the length of the fiber was 7cm and 15cm. The results showed that the addition of banana fiber significantly improved the mechanical properties of mortar and concrete. The compressive strength of mortar with a fiber length of 7cm was higher than 15cm. The higher percentage of fiber causes the lower compressive strength of mortar. The compressive strength of fiber-reinforced concrete was 27.9 MPa, and the ordinary concrete was only 17.91 MPa. The tensile strength of fiber-reinforced concrete was 6.96 MPa, while the ordinary concrete was just 1.93 MPa.

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