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International Conference on Cyber Physical, Computer and Automation Systems, CPCAS 2019

作者： Rahmat, Basuki Via, Yisti Vita Wasian, Abdullah Purbasari, Intan Yuniar Sari, Ni Ketut Wurjani, Widi Bandong, Steven Joelianto, Endra Siregar, Persaulian Faculty of Computer Science Universitas Pembangunan Nasional "Veteran" Jawa Timur Surabaya Indonesia Engineering Physics Doctoral Program Faculty of Industrial Technology Institut Teknologi Bandung Bandung Indonesia Instrumentation and Control Research Group Faculty of Industrial Technology Institut Teknologi Bandung Bandung Indonesia

ISBN: (纸本)9789813340619

The process of loading and unloading containers at the port is very important to be automated in order to increase productivity, revenues, efficiency and safety in the logistics transportation process especially in a maritime country like Indonesia. To achieve this, identification and tracking of container positions need to be done accurately so that container transfers can occur precisely and smoothly. In this study, YOLO deep learning is used to detect moving containers. The model is trained using container images, and then the validation and testing process are carried out on the model using other container images. The results of training are stored in several checkpoints which will be compared to get the most accurate model. Obtained YOLO gave good results for tracking containers with MAP value of 68.63% and LAMR of 0.31. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Containers

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Observation method for mathematical graphology

Observation method for mathematical graphology

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International Conference on Document Analysis and Recognition

作者： K. Toraichi T. Horiuchi R. Haruki Institute Information Science and Elec University of Tsukuba Tsukuba Ibaraki Japan Doctoral Program in Engineering University of Tsukuba Tsukuba Ibaraki Japan

An observation method for mathematical graphology is proposed. The motivation of mathematical graphology is to realize graphological information processing on a machine. Furthermore, mathematical graphology aims to construct a new information theory for visual communication. In order to construct the mathematical model this paper focuses on the observation process, which is the first stage in the model. Based on the physiological saccade phenomena, feature points are extracted which include the important information. Then, contours between adjacent feature points are approximated using smooth functions. The performance of the proposed method is verified by experiments.

关键词： Feature extraction Data mining Mathematical model Function approximation Spectrogram Fingerprint recognition Information theory Image analysis Humans

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Position independent neuro pattern matching and its application to handwritten numerical character recognition

Position independent neuro pattern matching and its applicat...

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International Joint Conference on Neural Networks (IJCNN)

作者： Y. Hirai Y. Tsukui Institute of Information Sciences and Electronics University of Tsukuba Tsukuba Ibaraki Japan Doctoral Program in Engineering University of Tsukuba Tsukuba Ibaraki Japan

A novel one-dimensional pattern-matching neural network which matches an input to multiple candidates of the stored templates in parallel is proposed. It can find the best matching template, whose features are arranged in the same order as those of the input, regardless of positional differences between corresponding features. The proposed network is applied to handwritten numerical character recognition. Six kinds of features are extracted form the input pattern: closure, upward, downward, left and right orientations of line ends, and junction. From the two-dimensional feature distribution pattern, horizontal and vertical projection profiles are made. They are matched in the horizontal and vertical matching networks separately. The results of matching in the two networks are combined and categorized by a recognition network. 600 handwritten characters in the ETL-1 database were used as a learning set, and another 600 characters were used as an open set. The recognition rate for the learning set was 98.2% and that for the open set was 88.2%

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Efficient hydrogen production by microwave-assisted catalysis for glycerol-water solutions via NiO/zeolite-CaO catalyst

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South African Journal of Chemical engineering 2022年 41卷 43-50页

作者： Husin, Husni Erdiwansyah, Erdiwansyah Ahmadi, Ahmadi Nasution, Fahrizal Rinaldi, Wahyu Abnisa, Faisal Mamat, Rizalman Reaction Engineering and Catalysis Laboratory Department of Chemical Engineering Faculty of Engineering Universitas Syiah Kuala Jl. Tgk Syech Abdurrauf No.7 Darussalam Banda Aceh 23111 Indonesia Doctoral Program School of Engineering Universitas Syiah Kuala Darussalam Banda Aceh 23111 Indonesia Department of Chemical and Materials Engineering Faculty of Engineering King Abdulaziz University Rabigh 21911 Saudi Arabia Mechanical Engineering Universiti Malaysia Pahang Pahang Pekan 26600 Malaysia Faculty of Engineering Universitas Serambi Mekkah Banda Aceh 23245 Indonesia

Hydrogen from glycerol is one of the most potent green energy sources to replace fossil fuels. Thus, converting a glycerol solution to hydrogen through microwave-assisted catalysis is continuously gaining interest from researchers worldwide. The research aim was to combine NiO/zeolite and CaO for efficient hydrogen production from glycerol-water solution via microwave-assisted. The BET, XRD, and TEM were applied to characterize the properties of the NiO/zeolite-CaO catalyst. The influence of CaO content on NiO/zeolite (NiO/zeolite-CaO) catalyst, and microwave power on glycerol-water decomposition into hydrogen were investigated systematically. The catalytic performance for hydrogen production from glycerol-water solution was conducted in a fixed bed quartz-tube flow reactor via microwave irradiation a fed flow-rate (FFR) of 0.5 ml/min. Several characteristics, such as heating rate of 300–600 W, have been studied, CaO content of 10 wt.%, 30 wt.%, 40 wt.%, 50 wt.%, 60 wt.%, and 100 wt.%, respectively. The combined utilization of NiO/zeolite and CaO was efficient in obtaining more hydrogen production. Furthermore, the maximum conversion was found to be around 98.8%, while the highest hydrogen purity was found to be up to 96.6% when 20 wt.% NiO was used as an active site on natural zeolite and 50 wt.% CaO was used. © 2022 The Authors

关键词： Calcium oxide Hydrogen production Microwave irradiation Nickel

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Gelatine-Based Phantom for Simulating A-Line Reverberations in Lung Ultrasonogram 8

Gelatine-Based Phantom for Simulating A-Line Reverberations ...

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8th International Conference on Instrumentation, Control, and Automation, ICA 2023

作者： Nabila, Citra Alfa Bahri, Saeful Adhika, Damar Rastri Suprijanto, Suprijanto Institut Teknologi Bandung Master Program of Instrumentation and Control Faculty of Industrial Technology Bandung Indonesia Institut Teknologi Bandung Doctoral Program of Engineering Physics Faculty of Industrial Technology Bandung Indonesia Institut Teknologi Bandung Advanced Functional Material Research Group Faculty of Industrial Technology Research Center of Nanosciences and Nanotechnology Bandung Indonesia Institute Teknologi Bandung Instrumentation and Control Research Group Faculty of Industrial Technology Bandung Indonesia

ISBN: (纸本)9798350301274

To understand typical features that could be imaged using ultrasonography (USG) in the training phases of medical students or practitioners, a lung phantom is required. The research team suggests using a gelatine-based phantom to demonstrate A-line reverberations in lung ultrasound. The ordinary gelatine-based phantom has the disadvantage of being too fragile and prone to breaking. The specific process was attempted on gelatine with a plasticizer and carrier agent to increase the gelatine's strength and elasticity. To simulate the A-lines, two different textures of gelatine layers are used, with other processes in between. A special procedure was used to set off the various acoustic impedances affecting reverberation physics with those varied textures. Based on USG image analysis, the proposed lung phantom material has some advantages: it is inexpensive and easy to find, despite its complicated procedures. Furthermore, it could be processed to have the desired properties and recycled after hardening with water bath melting. © 2023 IEEE.

关键词： Textures

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A dynamic and distributed domain-based mobility management method for mobile IPv6

A dynamic and distributed domain-based mobility management m...

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IEEE Conference on Vehicular Technology (VTC)

作者： Chang Woo Pyo Jie Li Hisao Kameda Doctoral Program System & Information Engineering University of Tsukuba Ibaraki Japan Institute of Information Science & Elelctronics University of Tsukuba Ibaraki Japan

ISBN: (纸本)0780379543

We address mobility management for the internet protocol version 6 in mobile networks, namely mobile IPv6 (MIPv6). To correctly transfer IPv6 packets to a mobile node (MN), the MN has to update its binding to the home network while roaming away from its home network. Mobile IP networks suffer high binding update traffic from high rates of handoffs and long packet delivery delay from the large distance to the home network. In this paper, we introduce a dynamic and distributed domain-based mobility management protocol for MIPv6 to reduce the binding update and packet delivery delay and traffic. We describe the basic protocol operations and examine the performance improvement of our mobility management over the previous mobile IP mobility management method by using simulations. We show that the dynamic approach provides the optimal mobility solution for MIPv6 and the distributed approach can decentralize the network load.

关键词： Mobile radio mobility management Home automation Protocols IP networks Telecommunication traffic Internet Cities and towns Delay engineering management Systems engineering and theory

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Transformative lactera-polypyrrole@carrageenan microparticles leveraging NIR for skin regeneration and stress relief

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International journal of biological macromolecules 2025年 316卷 144436页

作者： Sih-Chi Chuang Shih-An Yu Pei-Chia Hung Andrew E-Y Chuang Jia-Wei Liang Lekshmi Rethi Chih-Kuang Chen Hsu-Wei Fang Hieu Trung Nguyen Hsien-Tsung Lu Department of Chemical Engineering and Biotechnology National Taipei University of Technology Taipei 10608 Taiwan Doctoral Program of Biochemical and Biomedical Engineering National Taipei University of Technology Taipei 10608 Taiwan. Hsuan Chen Technology CO. LTD. New Taipei City 22055 Taiwan. Graduate Institute of Biomedical Materials and Tissue Engineering College of Biomedical Engineering Taipei Medical University New Taipei City Taiwan International Ph.D. Program in Biomedical Engineering College of Biomedical Engineering Taipei Medical University New Taipei City Taiwan Cell Physiology and Molecular Image Research Center Taipei Medical University-Wan Fang Hospital Taipei 11696 Taiwan. Hsuan Chen Technology CO. LTD. New Taipei City 22055 Taiwan Graduate Institute of Biomedical Materials and Tissue Engineering College of Biomedical Engineering Taipei Medical University New Taipei City Taiwan. International Ph.D. Program in Biomedical Engineering College of Biomedical Engineering Taipei Medical University New Taipei City Taiwan. Department of Physical Medicine and Rehabilitation Chang Gung Memorial Hospital Taoyuan Taiwan. School of Medicine Chang Gung University Taoyuan Taiwan. Graduate Institute of Clinical Medicine College of Medicine Taipei Medical University Taipei Taiwan. Department of Chemical Engineering and Biotechnology National Taipei University of Technology Taipei 10608 Taiwan. Department of Orthopedics and Trauma Faculty of Medicine University of Medicine and Pharmacy at Ho Chi Minh City Ho Chi Minh City 700000 Viet Nam. Department of Orthopedic Taipei Medical University Hospital Taipei City 11031 Taiwan Department of Orthopedics School of Medicine College of Medicine Taipei Medical University Taipei 11031 Taiwan International Ph.D. Program in Cell Therapy and Regenerative Medicine College of Medicine Taipei Medical University Taipei 11031 Taiwan. Electronic address: lu7788@tmu.edu.tw.

Effective wound healing remains a significant challenge in regenerative medicine, particularly in minimizing inflammation and promoting scarless recovery. This study introduces a bioengineered LAC-PPy@Car MF composite, designed to leverage near-infrared (NIR)-induced photothermal therapy alongside biotherapeutics to accelerate tissue regeneration. The composite integrates the photothermal properties of polypyrrole (PPy) with the anti-inflammatory and regenerative potential of Lactera (LAC) and Carrageenan (Car). Upon NIR activation, the composite generates localized mild-hyperthermia, reducing oxidative stress, enhancing Aryl Hydrocarbon Receptor (AhR) activity, and upregulating heat shock proteins (HSP). These effects synergistically create a bioactive environment conducive to cellular proliferation and tissue repair. Biochemical evaluations demonstrate that LAC-PPy@Car MF effectively reduces oxidative stress, stimulates fibroblast migration, and promotes the proliferation of skin cells. Immunofluorescence staining reveals significant activation of AhR and HSP in treated tissues, correlating with accelerated cellular proliferation and improved skin architecture. The NIR-triggered photothermal effect enhances the therapeutic potential of the composite, ensuring precise and minimally invasive treatment for burn injuries. These findings position phototherapeutic LAC-PPy@Car MF as a promising candidate for advanced wound healing applications. Its dual functionality, combining photothermal therapy with bioactive healing properties, offers a transformative approach to regenerative medicine, paving the way for improved clinical outcomes in wound care.

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Pleiades: a prototype of inter-processor network generation system

Pleiades: a prototype of inter-processor network generation ...

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International Symposium on Parallel Architectures, Algorithms and Networks (ISPAN)

作者： K. Syano T. Shirakawa Doctoral Program in Eng. Tsukuba Univ. Ibaraki Japan Institute of Engineering Mechanics University of Tsukuba Tsukuba Ibaraki Japan

A method that generates a static network for a dedicated parallel computer from an application program is proposed. The article describes the heuristic code scheduling algorithm that becomes necessary for the generation of the network. Furthermore, it describes the method of dependency analysis that becomes necessary for the insertion of the data transfer instruction and network generation. A network generation system was developed by this research based on the above algorithm. A parallel computer simulator was developed, and the performance of the generated network and the parallelized program was estimated. It achieved 87.0-94.5% parallel processing efficiency with 32 processors when an experiment was made by using some sample programs. The validity of the generated network and the parallelized program is shown with these results.

关键词： Prototypes Concurrent computing Computer networks Application software Parallel processing Design engineering Computational modeling Supercomputers Parallel architectures Computer architecture

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Monitoring System for Elderly Health Care Using Smart Band, Raspberry Pi, and Node-Red 2

Monitoring System for Elderly Health Care Using Smart Band, ...

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2nd International Conference on Electronic and Electrical engineering and Intelligent System, ICE3IS 2022

作者： Ardiyanto, Yudhi Adi, Kusworo Kurnianingsih Putra, Karisma Trinanda Utomo, Pradityo System School of Postgraduate Studies Universitas Diponegoro Doctoral Program of Information Semarang Indonesia Universitas Muhammadiyah Yogyakarta Faculty of Engineering Department of Electrical Engineering Yogyakarta Indonesia Universitas Diponegoro Faculty of Science and Mathematics Department of Physics Semarang Indonesia Politeknik Negeri Semarang Faculty of Engineering Department of Electrical Engineering Semarang Indonesia Universitas Merdeka Madiun Faculty of Engineering Department of Informatics Management Madiun Indonesia

ISBN: (纸本)9781665465410

The decline in physical, cognitive, and sensory functions for most elderly people leads to the development of several health issues such as memory loss, a tendency to fall, dizziness, and reduced ability to care for oneself independently. These can be mitigated using devices designed to monitor vital signs and human activity such as a smart band. However, the application of a smart band is characterized by a disadvantage which involves storing user data in the vendor's cloud and only one device can access the client applications. Therefore, nurses, doctors, and family members cannot simultaneously analyze data and receive alerts when abnormal conditions occur in elderly patients. This study aims to develop a system capable of monitoring the health conditions of multiple elderly individuals and sending alerts during abnormal conditions based on the heart rate value read by the smart band sensor. The process involved installing a database on the Raspberry Pi to store data while a monitoring system was built on the Node-RED platform to display elderly health data and made it accessible locally. The detection of an abnormal heart rate condition in the elderly patient leads the system to send notifications via telegram to multiple receivers registered in the system using their telegram identity. © 2022 IEEE.

关键词： Heart

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Designing a hands-on brain computer interface laboratory course

Designing a hands-on brain computer interface laboratory cou...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Bahar Khalighinejad Laura Kathleen Long Nima Mesgarani Department of Electrical Engineering Columbia University New York NY Doctoral Program in Neurobiology and Behavior Columbia University New York NY

Devices and systems that interact with the brain have become a growing field of research and development in recent years. engineering students are well positioned to contribute to both hardware development and signal analysis techniques in this field. However, this area has been left out of most engineering curricula. We developed an electroencephalography (EEG) based brain computer interface (BCI) laboratory course to educate students through hands-on experiments. The course is offered jointly by the Biomedical engineering, Electrical engineering, and Computer Science Departments of Columbia University in the City of New York and is open to senior undergraduate and graduate students. The course provides an effective introduction to the experimental design, neuroscience concepts, data analysis techniques, and technical skills required in the field of BCI.

关键词： Electroencephalography Hardware MATLAB Data analysis Electrodes

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