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1st IEEE International Interdisciplinary Humanitarian Conference for Sustainability, IIHC 2022

作者： Naibaho, Lamhot Razauddin Vertivendan, L. Karunakaran, V. Oberoi, Ashish Vishwath, N.C. Ajay Christian University of Indonesia English Language Education Study Program Faculty of Letters and Languages Indonesia Gulf Colleges Saudia Arabia Department of Computer and Information Sciences Saudi Arabia Galgotias University Department of CSE Uttar Pradesh Greater Noida India Faculty of Engineering and Technology Department of CSE Bangalore India RIMT University Department of CSE Godindgarh Mandi India Parul Institute of Engineering and Technology Parul University Aeronautical Department India

ISBN: (纸本)9781665456876

Motion planning for many unmanned aircraft is challenging because they have a larger configuration space than self-driving automobile development (Automated guided vehicles). Additionally, there are more significant uncertainties and disruptions in UAV environments, which makes inter automatic navigation more difficult. In this letter, I proposed a 2 recurrent neural networks (RL) oriented multi-UAV collision avoidance technique by modeling the unpredictability or noise in the environment. Our objective is to create a strategy that can construct a path without clashing with anything using local noisy data. But unlike supervised algorithms, RL lacks a steady training data set with floor labels, thus its collision avoidance strategies often show significant fluctuation and are difficult to reproduce. To solve these issues, we created a two-stage training method for RL-based collision avoidance. We first optimize the policy, and then we utilize a supervised learning methodology with a loss function that encourages the agents to adopt the well-known reciprocity obstacle detection mechanism. In the second step, we use transmission to fine-tune the policy. The complete computer simulation findings demonstrate that this approach can handle noisy local views with erratic sound levels and can design moment & accident paths under inadequate sensing. We review the impact of our policies in a variety of ways. © 2022 IEEE.

关键词： Recurrent neural networks

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Extraction of corn seed image texture using machine learning method

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AIP Conference Proceedings 2024年第1期2987卷

作者： Yampi R. Kaesmetan Fuzy Yustika Manik Wisard Kalengkongan Informatics Techniques Study Program STIKOM Uyelindo Kupang Kupang Indonesia Faculty of Computer Sciences and Information Technology Universitas Sumatera Utara Medan Indonesia Information System Study Program Universitas Sam Ratulangi Manado Manado Indonesia

Indonesia is the largest corn exporter in the world. Corn (Zea mays I.) Problems in determining the selection of corn seed to replant, especially corn in East Nusa Tenggara, are still a critical issue. The things that affect the quality of corn are found: the seeds are damaged, the seeds are dull, the seeds are dirty, the beans are broken due to the drying process, and the shell of the corn. The determination of the quality of corn grains usually is done manually with visual observation. The manual system requires a long time and produces good quality products that are not consistent due to the limitation of visual fatigue and differences in the perception of each observer. This research uses image texture extraction comparison with statistical methods I orde (color moment) and orde statistics II (GLCM) to select the corn seed. Orde statistics I (color moment) shows the emergence of the value of the degree of gray probability pixels in an image, while orde statistics II (GLCM) shows the relationship between two probability pixels forming a concurrence matrix from the image data. This research is expected to help the process of classification in determining the corn seed. The algorithm k of the nearest neighbor (K-NN) who used to research the classification of the object of the image that will be examined. The results of this study successfully performed using k-Nearest neighbor (k-NN) with a distance of euclidean distance and k=1 with the extraction of the color moment got the highest accuracy is 88%, and the extraction GLCM to characterize the homogeneity of 75.5%, correlation of 78.67%, a contrast of 65.75% and energy of 63.82% with an average accuracy of 70.93%.

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Data analysis guidelines for single‑cell RNA‑seq in biomedical studies and clinical applications

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Military Medical Research 2023年第4期10卷 529-553页

作者： Min Su Tao Pan Qiu‑Zhen Chen Wei‑Wei Zhou Yi Gong Gang Xu Huan‑Yu Yan Si Li Qiao‑Zhen Shi Ya Zhang Xiao He Chun‑Jie Jiang Shi‑Cai Fan Xia Li Murray J.Cairns Xi Wang Yong‑Sheng Li State Key Laboratory of Reproductive Medicine Nanjing Medical UniversityNanjing 211166China College of Biomedical Information and Engineering the First Affiliated Hospital of Hainan Medical UniversityHainan Medical UniversityHaikou 571199HainanChina College of Bioinformatics Science and Technology Harbin Medical UniversityHarbin 150081HeilongjiangChina Department of Immunology Nanjing Medical UniversityNanjing 211166China Department of Laboratory Medicine Women and Children’s Hospital of Chongqing Medical UniversityChongqing 401174China Baylor College of Medicine HoustonTX 77030USA Shenzhen Institute for Advanced Study University of Electronic Science and Technology of ChinaShenzhen 518110GuangdongChina School of Biomedical Sciences and Pharmacy Faculty of Health and Medicinethe University of NewcastleUniversity DriveCallaghanNSW 2308Australia Precision Medicine Research Program Hunter Medical Research InstituteNew Lambton HeightsNSW 2305Australia

The application of single-cell RNA sequencing(scRNA-seq)in biomedical research has advanced our understanding of the pathogenesis of disease and provided valuable insights into new diagnostic and therapeutic *** the expansion of capacity for high-throughput scRNA-seq,including clinical samples,the analysis of these huge volumes of data has become a daunting prospect for researchers entering this ***,we review the workflow for typical scRNA-seq data analysis,covering raw data processing and quality control,basic data analysis applicable for almost all scRNA-seq data sets,and advanced data analysis that should be tailored to specific scientific *** summarizing the current methods for each analysis step,we also provide an online repository of software and wrapped-up scripts to support the *** and caveats are pointed out for some specific analysis tasks and *** hope this resource will be helpful to researchers engaging with scRNA-seq,in particular for emerging clinical applications.

关键词： Single-cell RNA-sequencing(scRNA-seq) Data analysis Biomedical research Clinical applications

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Enhancing Educational Innovation: A Comparative Analysis of Blockchain Adoption Strategies in Smart Learning Environments

Enhancing Educational Innovation: A Comparative Analysis of ...

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International Conference on Informatics and Computing (ICIC)

作者： Mochamad Heru Riza Chakim Daelami Ahmad Umi Rusilowati Fitra Putri Oganda Yulia Putri Ayu Sanjaya Po Abas Sunarya Economics and Business University of Raharja Indonesia Commercial Administration Study Program Sekolah Tinggi Ilmu Administrasi Banten Indonesia Management Pamulang University Indonesia Information Systems University of Raharja Indonesia Retail Management University of Raharja Indonesia Faculty of Science and Technology University of Raharja Indonesia

The recent improvement of traditional education systems in developing countries is supported by the adoption of the latest blockchain technology. This disruptive technology is key to improving accountability and transparency. This study investigates the main factors that influence educational institutions’ intention to implement blockchain technology in e-learning. By combining blockchain adoption strategies, smart learning environments, and enhancing educational innovation this study develops an updated model of the technology Acceptance Model. This conceptual model was evaluated and validated using online survey-based structural analysis. The results revealed that the blockchain adoption strategy factor has a significant influence on blockchain adoption in smart learning environments. Other findings also had important significant effects on the adoption of blockchain technology. This research presents an updated technology Acceptance Model for blockchain adoption, providing guidance for decision-makers in developing smart learning environments for educational institutions in developing countries.

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Design of Dual Space Inquiry framework for facilitating flexible learning in digital technology era

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International Journal of Educational Research Open 2025年 8卷

作者： Novitra, Fuja Abdullah, Mohd Nor Syahrir Özdemir, Erdogan Riyasni, Selma Emiliannur Festiyed Metra, Pol Department of Physics Faculty of Mathematics and Natural Science Universitas Negeri Padang Indonesia Department of Mathematics and Science Education Faculty of Education University of Malaya Malaysia Vocational School of Health Services Sivas Cumhuriyet University Turkey Information Systems Study Program Faculty of Science and Technology UIN Sulthan Thaha Saifuddin Jambi Indonesia

Mixed learning that offers flexibility is a current requirement. However, the challenge lies in ensuring that these approaches effectively accommodate interactive and practical elements, especially in physics education. This research aims to design a conceptual framework of the Dual Space Inquiry for facilitating flexible learning in basic physics course. An educational design research (EDR) approach was used to develop and validate the Dual Space Inquiry framework comprising three phases: analysis and exploration;design and construction;and evaluation and reflection. This research involved 253 students and 20 experts and practitioners. The findings highlighted the urgency of implementing a mixed learning framework that combines face-to-face and online learning methods in physics education contexts to optimize learning outcomes. These results became the basis for the design of the Dual Space Inquiry Framework which emphasizes flexibility, humanism, and student-centered. Furthermore, the results of expert and practitioner judgment showed that the framework's validity is in the high category (v-values=0.770). Based on the results, it is concluded that an approach that combines online and offline learning with inquiry activities integration in a balanced manner is recommended for optimal learning outcomes for physics education. The Dual Space Inquiry Framework, with its high validity, is a valuable framework for lecturers in physics and other science fields to enhance learning quality and adapt to the digital technology era. © 2024 The Author(s)

关键词： Digital pedagogy Framework ICT Inquiry Teaching strategies

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An investigation of class diagram builder system from the translation of BPMN and database

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AIP Conference Proceedings 2023年第1期2554卷

作者： Farida Utami Syafira Nurilhaq Maulidya Bilal Hidayaturrohman Nadlir Mubarak Muhammad Zege Zain Indra Kharisma Raharjana Badrus Zaman 1Information Systems Study Program Faculty of Science and Technology Universitas Airlangga Surabaya Indonesia

BPMN (Business Process Model and Notation) is a standard business process model that is accepted both nationally and internationally. The class diagram is a UML diagram that describes the classes in a system and their relationship between one class and another. As part of the process innovation, this research proposes a generator system that can be time-efficient in creating complex Class Diagrams with BPMN and Database. This research identifies and analyzes every element of BPMN (XPDFL file) and Database (XML file) relevant to making a Class Diagram. While the output of the system is a class diagram that displays classes, attributes contained, methods used, and relations between classes. Evaluating the performance of the Generator System was done by comparing and assessing the class diagrams generated by the system with class diagrams designed by experts. The confusion matrix method was used to measure the performance of the Generator System. The Generator System achieved an accuracy of 97.4%, which means that this proposed system’s performance is good.

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Development of conceptual-level architecture vision for real estate sector using TOGAF ADM 9.1 framework

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AIP Conference Proceedings 2023年第1期2554卷

作者： Army Justitia Indra Kharisma Raharjana Kinanti Ramdhani 1Information System Study Program Faculty of Science and Technology Universitas Airlangga Surabaya Indonesia

This paper presents the development of a conceptual-level architecture vision used for the real estate sector. In Enterprise Architecture Planning (EAP), conceptual-level architecture vision may also be referred to as architecture vision planning. Aiming to streamline the business processes, organizations need information and communication technology support. Conceptual-level architecture vision is an early and crucial stage in the development of integrated information and communication technology. We adopt eleven steps proposed by TOGAF ADM 9.1 framework in performing the conceptual-level architecture vision for the real estate sector. For gathering information, we conduct some direct observations, in-depth interviews, and careful document examination. In every stage, we confirm the results to the relevant parties until they are appropriate and approved. This research produces a stakeholder map matrix, value chain diagram, and solution concepts diagram. All the resulting work products are summarized in a statement of architecture work, which describes the architecture project description and scope, an overview of architecture vision, and an architecture project plan and schedule. The results of conceptual-level architecture vision have been confirmed and obtained continuous feedback from stakeholders using questionnaires. The results of this study could be the initial stage of the enterprise architecture blueprint for the real estate sector.

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A systematic literature review of movie recommender systems for movie streaming service

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AIP Conference Proceedings 2023年第1期2554卷

作者： Chrisna Haryo Wibisono Endah Purwanti Faried Effendy 1Information Systems Study Program Faculty of Science and Technology Universitas Airlangga Surabaya Indonesia

The era of information and communication technology makes the information available on the internet growing rapidly. Recommender Systems are one of the technologies that are widely used to filter information to handle the huge of information. One of the developing information is film. The increasing number of films released every year has led to the development of applications that offer movie streaming services such as Netflix, Yiu, Disney Hotstar, etc. Therefore, movie recommender systems technology is needed to facilitate and provide a good experience when users use these services. The purpose of this study is to conduct a Systematic Literature Review (SLR) to analyze methods against the algorithm developed in building a movie recommender system. SLR method consists of three stages, namely, planning, conducting, and reporting processes. Studies published from 2010 to 2020 were considered. There were 21 main studies in which the collaborative filtering method was used in 16 studies, knowledge-based filtering was used in 2 studies, and hybrid filtering method was used in 3 studies. The results of the SLR process can be concluded that there are advantages and disadvantages to each method developed in building the movie recommender system. However, the model-based collaborative filtering method is one method that can minimize cold start, data sparsity, and scalability problems.

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Integrated-Regression and Whale Optimisation Algorithms to post stroke rehabilitation analysis: A case study for serious games

Integrated-Regression and Whale Optimisation Algorithms to p...

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2021 IEEE Symposium on Computers and Informatics, ISCI 2021

作者： Ismail, Waidah Grosan, Crina Abdullah, Zul Hilmi Aldailamy, Ali Y. Zainal, Nurezayana Hendradi, Rimuljo Faculty Science and Technology Universiti Sains Islam Malaysia Bandar Baru Nilai Negeri Sembilan Malaysia International Halal and Fatwa CenterUniversiti Sains Islam Malaysia Bandar Baru Nilai Negeri Sembilan Malaysia Faculty of Information Technology Inti International University Bandar Baru Nilai Negeri Sembilan Malaysia Department of Computer Science Brunel University Uxbridge United Kingdom Faculty of Computer Science and Information Technology Universiti Putra Malaysia Selangor Malaysia Information System Study Program Universitas Airlangga Surabaya Indonesia

ISBN: (纸本)9781665402767

Stroke is one of the leading causes of death and long-term disability worldwide. The primary goal of post-stroke rehabilitation is to maximize the independence of the affected individuals by facilitating both neurological and compensatory functional recoveries in their daily lives. This paper presents an integrated study, using multiple linear regression (MLR) and whale optimization algorithm, for optimizing the post-stroke rehabilitation performance using Medical Interactive Rehabilitation Assistant (MIRA). MIRA is one of the serious games using virtual reality. The research objective finding the best games settings for MIRA. Analysis of variance and F-test were performed to justify the goodness of fit of the developed mathematical models, as well as the significance of the individual MIRA input settings of the games. Results demonstrated that the developed MLR models for average acceleration and distance were significant, with P=0.018 and P © 2021 IEEE.

关键词： Optimization

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Prototype Design of Smart Diabetic Shoes with Lora Module Communication

Prototype Design of Smart Diabetic Shoes with Lora Module Co...

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Computer Science, information technology and Engineering (ICCoSITE), International Conference on

作者： Purwono Purwono Asmat Burhan Khoirun Nisa’ Sony Kartika Wibisono Iis Setiawan Mangkunegara Pramesti Dewi Alfian Ma’Arif Iswanto Suwarno Department of Informatics Universitas Harapan Bangsa Purwokerto Indonesia Department of Anesthesiology Nursing Universitas Harapan Bangsa Purwokerto Indonesia Department of Information Technology Universitas Harapan Bangsa Purwokerto Indonesia Nursing Study Program Universitas Harapan Bangsa Purwokerto Indonesia Department of Electrical Engineering Universitas Ahmad Dahlan Yogyakarta Indonesia Department of Engineer Professional Program Universitas Muhammadiyah Yogyakarta Yogyakarta Indonesia

Diabetes is a disease that affects many people in the world. Diabetes mellitus is a type of metabolic disease in a person who suffers from blood glucose levels with extreme conditions, namely insufficient insulin production in the human body. Monitoring diabetes is an important concern for researchers because it can be useful for improving the quality of the nursing service system. One of the common conditions in diabetic patients is ulceration which is difficult to detect on time. technology can minimize the total cost of monitoring chronic diseases such as Diabetes continuously and on time. This research focuses on solutions to produce IoT-based smart diabetic shoes that utilize pressure sensors and the temperature of the feet of people with diabetic feet. Smart diabetic shoes are made using the Lora E32 module to be applied to areas with poor internet connections. The results of the testing carried out for 60 seconds in this study succeeded in detecting the area of the foot that experienced the greatest pressure, which was located on the rear footrest with a portion of pressure of around 25 – 28% of the total body weight. The patient's foot temperature increases when the pedestal load is greater. The Lora E32 module also functions as a media transmitter and receiver at a distance of 2.2 km in sending sensor data.

关键词： Temperature sensors Pressure sensors Transmitters Web services Footwear Receivers Diabetes

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