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Selective surface functionalization at regions of high local curvature in graphene

Chemical Communications 2013年第7期49卷 677-679页

作者： Wu, Qingzhi Wu, Yaping Hao, Yufeng Geng, Jianxin Charlton, Matthew Chen, Shanshan Ren, Yujie Ji, Hengxing Li, Huifeng Boukhvalov, Danil W. Piner, Richard D. Bielawski, Christopher W. Ruoff, Rodney S. State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Biomedical Materials and Engineering Center Wuhan University of Technology Wuhan 430070 China Department of Mechanical Engineering Department of Materials Science Department of Engineering Program The University of Texas at Austin Austin TX 78712 1 University Station C2200 United States Department of Chemistry and Biochemistry The University of Texas at Austin Austin TX 78712 1 University Station A1590 United States School of Computational Sciences Korea Institute for Advanced Study Seoul 130-722 South Korea ) School of Chemical and Biological Engineering Seoul National University Seoul 151-742 South Korea

Monolayer graphene was deposited on a Si wafer substrate decorated with SiO2 nanoparticles (NPs) and then exposed to aryl radicals that were generated in situ from their diazonium precursors. Using micro-Raman mapping...

Monolayer graphene was deposited on a Si wafer substrate decorated with SiO₂ nanoparticles (NPs) and then exposed to aryl radicals that were generated in situ from their diazonium precursors. Using micro-Raman mapping, the aryl radicals were found to selectively react with the regions of graphene that covered the NPs. The enhanced chemical reactivity was attributed to the increased strain energy induced by the local mechanical deformation of the graphene. © The Royal Society of Chemistry.

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Classification of teak wood production in Central Java using the C5.0 algorithm

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AIP Conference Proceedings 2019年第1期2202卷

作者： Yuliana Susanti Respatiwulan Sri Sulistijowati Handajani Hasih Pratiwi Isnandar Slamet Hartatik Firstiana Istiqomah 1Program Study of Statistics Universitas Sebelas Maret Indonesia 2Diploma Program of Informatics Engineering Universitas Sebelas Maret Surakarta Indonesia

Central Java has the largest teak land area in Java Island. It is about two-thirds of teak land area on Java Island is located in Central Java. The purpose of this study is to determine the classification of factors that influence the production of teak trees in Central Java with the Commercial Version 5.0 (C5.0) algorithm. This algorithm is a refinement of the ID3 and C4.5 algorithms. The C5.0 algorithm works by separating samples based on attributes that have the highest information gain. The results of the study show that there are three classification rules produced with an 81.8% accuracy rate.

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Human-computer-interface for controlling the assistive technology device

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AIP Conference Proceedings 2020年第1期2314卷

作者： Osmalina Nur Rahma Maydiana Nurul Kurniawati Akif Rahmatillah Khusnul Ain 1Biomedical Engineering Study Program Department of Physics Faculty of Science and Technology Airlangga University Indonesia

Imagining a motion without doing the actual movement is known as Motor imaginary (MI). However, translating MI as an input for BCI that control the Assistive Technology (AT) device was a challenging method due to the extensive training required, poor user engagement, and visual feedback response delays. For a person who has difficulties to imagine without visual stimulation, more training should be conducted. Even with a visual stimulus, sometimes a person still finds it hard to distinguish between one movement and another. So, finding a suitable input to control an AT device that suitable for someone who has extremely limited movement is very challenging. In the other hand, EEG signal had been proven sufficient in detecting facial expression. Even though the EEG signal contains EMG facial artifact and considered as an unwanted signal for BCI, facial movement artifact could become a compensator signal for EEG based Human Computer Interface (HCI) system to improve efficiency. This study aims to develop HCI systems to distinguish three different movements (forward, backward, and stop) EEG signals that recorded from EEG EMOTIV Epoc based on different facial expression. This HCI system could bring benefit if it is implemented for AT device, such as rollator since the user could easily distinguish different movement without any visual stimuli required so could reduce an extensive training before usage and could improve the quality of life people with limited extremity movement.

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Application of gray level run length matrices features extraction for diabetic retinopathy detection based on artificial neural network

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AIP Conference Proceedings 2020年第1期2314卷

作者： Bestia Kumala Wardani Nathania Earlene Belinda Riries Rulaningtyas Endah Purwanti 1Biomedical Engineering Study Program Department of Physics Faculty of Science and Technology Universitas Airlangga Surabaya Indonesia

Diabetic Retinopathy (DR) is Diabetes Mellitus microvascular complication, which attacks the eyes and can cause blindness. The DR examination currently is done with the fundus photography technique. The image produced by the technique is studied by the ophthalmologist manually. This research aimed to develop a computer aided diagnosis in the DR detection system using Gray Level Run Length Matrices (GLRLM) features extraction and Artificial Neural Network. This DR detection was done by Gray Level Run Length Metrices (GLRLM) texture features extraction method. Five texture features used were: Short Run Emphasis (SRE), Long Run Emphasis (LRE), Gray Level Non-Uniformity (GLN), Run Length Non-Uniformity (RLN), and Run Perecentage (RP). The five features were used as Backpropagation Artificial Neural Network input. The parameters are varied in the Backpropagation Artificial Neural Network training phase. The data used in this research were 110 retinal fundus images consists of 20 normal retinal fundus images, 45 NPDR retinal fundus images, and 45 PDR retinal fundus images. The highest accuracy result gained in the training phase is 97.14% and testing phase is 92.5%. This detection program produces a sensitivity value of 93.33% and a specificity value of 90%, therefore, it can be used as an initial indicator to detect DR.

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Filter design on EMG multichannel based python programmer

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AIP Conference Proceedings 2020年第1期2314卷

作者： Prihartini Widiyanti Aji Sapta Pramulen Akif Rahmatillah 1Biomedical Engineering Study Program Department of Physics Faculty of Science and Technology Universitas Airlangga Surabaya Indonesia

Currently, EMG devices are used as recording and monitor device for muscle activity. However, the existing tools use licensed software that result in limited features provided. In addition, the inability of the tools to be able to record simultaneous movements involving several muscles at the same time is another problem regarding the design of EMG device systems. This research is done to design a multichannel EMG filter using python programming. Therefore, the design of this device consists of hardware in the form of instrumentation amplifier circuit, NI DAQ USB 6009 as data acquisition, and software part consisting of signal processing (filtering, rectifying, smoothing) and signal interface on Personal Computer (PC) using Python 2.7. The device testing is done in 2 ways, that is finance and tools from EMG itself. The instrumentation test got the strengthening value 15,241 times with linearity of 0.941. In addition, Butterworth IIR filter response is obtained according to the design of the cut off frequency of 15-450 Hz and 50 Hz. Performance testing of prototype EMG devices is done with compare of standard EMG and recording is done on normal male. Qualitatively the recording signal features using EMG of research with simultaneous movements identical to the recording signal features using standard EMG. The analysis of the results uses this type of qualitative analysis which sees how the similarity of the frequency range on the FFT of EMG research results with standard EMG in hospitals. The results obtained are the same frequency range at 15 – 450 Hz.

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Elbow angle estimation for medical rehabilitation device based on EMG sensor with ARIMAX method

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AIP Conference Proceedings 2022年第1期2663卷

作者： Amelia Lita I. Made Mas Dwiyana Prasetya Wibawa Alinda Anggraini Akif Rahmatillah Riries Rulaningtyas Alfian Pramudita Putra Khusnul Ain 1Biomedical Engineering Study Program Department of Physics Faculty of Science and Technology Universitas Airlangga Surabaya 60115 Indonesia

In the development of medical rehabilitation tools, muscle signals or electromyographic (EMG) are often used as feedback from the body in order to facilitate normal movement patterns. Through this signal, the force, torque, and angle can be estimated to produce the desired movement in the robot to assist patients in rehabilitation therapy. There had been various research done on estimating the extremities' joint angle, including the system identification method with Auto-Regressive Integrated Moving Average with Exogenous Input (ARIMAX) model structure. This research aims to model biceps brachii's EMG signal and the elbow joint angle using the ARIMAX model structure. In modeling, the order of the model was selected using the methods of minimizing the AIC (Akaike Information Criteria) and RMSE (Root Mean Square Error) values. The reported results showed the comparison of the outcome and model orders from three data sets with a frequency sampling of 47.6690 Hz, l66.3248 Hz, and 935.6743 Hz, respectively. The frequency sampling of l66.3248 Hz results showed the best accuracy performance of the ARIMAX model structure. The model order which is selected based on the minimization of the RMSE value obtained the best estimate, while the order models were selected based on the minimization of the AIC value showed a more consistent performance on the data estimation and validation.

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Characterization of crystal structure and mechanical properties of polycaprolactone-hydroxyapatite-collagen nanofiber for scaffold anterior cruciate ligament (ACL) applications

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AIP Conference Proceedings 2022年第1期2663卷

作者： Faika Hanum Salsabilah Djony Izak Rudyardjo Sofijan Hadi Tahta Amrillah Aminatun Aminatun 1Program Study of Biomedical Engineering Department of Physics Faculty of Science and Technology Universitas Airlangga Surabaya 60115 Indonesia 2Program Study of Physics Department of Physics Faculty of Science and Technology Universitas Airlangga Surabaya 60115 Indonesia 3Program Study of Chemistry Department of Chemistry Faculty of Science and Technology Universitas Airlangga Surabaya 60115 Indonesia 4Program Study of Nanotechnology Faculty of Advance technology and Multidiscipline-Universitas Airlangga Surabaya 60115 Indonesia

Recently, it was found that the case of knee injuries could reach a prevalence of 48 per 1000 peoples in one year, with 9% being categorized as Anterior Cruciate Ligament (ACL) injuries. The most common cause of ACL injuries is sports activities. Several strategies were used to heal this injury, such as a treatment, up to autographs bone graft surgery. Current research developments lead to the use of artificial ligaments to heal the ACL injuries which have many advantages over autografts. Thus, this present study aims to fabricate the artificial ligament using hydroxyapatite (HA)/collagen/polycaprolactone (PCL) nanofiber composites. Here, we try to determine the effect of variations of HA, collagen, and PCL compositions in the nanofiber composites by studying their crystal structure and mechanical properties (tensile strength). We use variations of PCL: HA: collagen compositions about of 50:45:5, 50:40:10, 50:35:15, 50:30:20, and 50:25:25 wt%, respectively, in the 10% w/v of solution concentrations. In this present research, the nanofiber was fabricated by using electrospinning method with a voltage of 23 kV, while, the distance between the needle and the collector of about of 15 cm. The XRD and tensile strength tests were used to study the effects of PCL: HA: collagen compositions. In the XRD test, we found that the PCL peaks were detected at 2θ = 21° and 23° and HA was found at 2θ = 31°. The PCL crystal size is found to be 47.82-86.87 nm and the degree of crystallinity is 24.31-36.87%. In the mechanical test, the Ultimate Tensile Strength (UTS) value was obtained in the range of 0.942 MPa-2.864 MPa. It was found that the PCL could increase the tensile strength. However, the obtained UTS value is still far from the UTS of the original human ACL value.

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Dental composite resin: A review

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AIP Conference Proceedings 2019年第1期2193卷

作者： Yori Rachmia Riva Siti Fauziyah Rahman 1Biomedical Engineering Study Program Department of Electrical Engineering Faculty of Engineering Universitas Indonesia Kampus UI Depok West Java 16424 Indonesia

Composite resin is one of dental material restoration that used in every dental office nowadays. Dental amalgam restoration had several problems in aesthetic and biocompatibility in oral cavity. To overcome the problem, dental composite resin which has great aesthetic, biocompatibility, physical, and mechanical properties has been developed. Composite resins are filled resin and have high compressive strength, abrasion resistance, ease of application, and high translucency. The objective of this review article is to review about dental composite resin including the composition, polymerization process, classification, and physical properties (water sorption, solubility, and polymerization shrinkage) of dental composite resin. Literature relating to dental composite resin and measurement of several physical properties, research methodologies, and contributing factors are selected and reviewed.

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Simulation and computational analysis of fire sprinkle bulb activation with variation of liquid and wall thickness

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AIP Conference Proceedings 2020年第1期2314卷

作者： Alfian Pramudita Putra Erik Jan Westerman Akif Rahmatillah 1Biomedical Engineering Study Program Department of Physics Faculty of Science and Technology Universitas Airlangga Surabaya Indonesia 2Department of Biomedical Engineering Faculty of Science and Engineering University of Groningen Groningen The Netherlands

Fire sprinkler is a safety system that is active when fire is detected. It consists of a bulb that holds the water flow and made of glass with liquid inside. The increase of temperature in its environment would expand the volume of the liquid and break the glass which leads to water spray to extinguish the fire. This study aims to model and simulate the fire sprinkler bulb and optimize several parameters related to its activation including the thickness of the bulb, type of liquid and the ratio of air and liquid inside the bulb. The modeling and simulation was performed in COMSOL Multiphysics with variation of wall thickness and liquid inside the bulb. The result showed that the best parameter was the liquid of glycerol, a height of 17.5 mm and a glass thickness of 0.1 mm, this resulted in the air to liquid ratio of 0.0042428 and breaking time of 7.2400s. This result was the fastest breaking time towards several simulations. For future study, several parameters need to be considered in the simulation to minimize the gap between the simulation and the actual condition, such as room condition, and water pressure.

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Digital filter effect of the ventilator tester parameters to identify inflation phases

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AIP Conference Proceedings 2022年第1期2537卷

作者： Tomy Abuzairi Ahli Irfan Basari 1Electrical Engineering Study Program Department of Electrical Engineering Faculty of Engineering Universitas Indonesia Kampus UI Depok West Java 16424 Indonesia 3Research Center for Biomedical Engineering Faculty of Engineering Universitas Indonesia Kampus UI Depok West Java 16424 Indonesia 2Biomedical Engineering Study Program Department of Electrical Engineering Faculty of Engineering Universitas Indonesia Kampus UI Depok West Java 16424 Indonesia

A ventilator is a breathing support device that serves as a therapeutic tool or treatment tool for patients with respiratory system failure caused by various health problems or diseases. On ventilators, there are crucial parameters that need to be monitored in advance, such as inspiration–expiration (I:E) ratio, respiration rate, tidal volume, peak inspiration pressure (PIP), positive end-expiratory pressure (PEEP), and oxygen concentration. To monitor those parameters, a ventilator tester is needed. In this paper, we analyzed the effect of a digital filter in the ventilator tester, COVENT-Tester, to identify the inflation phase in the ventilator parameters. The results show that the digital filter is not effective in measuring I:E ratio and respiration rate because of the delay in inspiration and expiration time. However, the digital filter is effective in measuring tidal volume, PIP, PEEP, and oxygen concentration.

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