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Rock Mechanics Bulletin 2025年第1期4卷 29-52页

作者： Yewuhalashet Fissha Prashanth Ragam Hajime Ikeda N.Kushal Kumar Tsuyoshi Adachi P.S.Paul Youhei Kawamura Department of Geosciences Geotechnologyand Materials Engineering for ResourcesGraduate School of International Resource SciencesAkita UniversityAkita010-8502Japan Department of Mining Engineering Aksum UniversityAksum7080TigrayEthiopia School of Computer Science and Engineering VIT-AP UniversityAmaravatiAndhra PradeshIndia Department of Systems Controland Information EngineeringNational Institute of TechnologyAsahikawa College2-2-1-6 Syunkodai Asahikawa city Hokkaido071-8142Japan Department of Mining Engineering Indian Institute of Technology(Indian School of Mines)Dhanbad826004India Faculty of Engineering Hokkaido UniversityKita 8Nishi 5Kita-KuSapporo0608628Japan

The vibrations generated by rock blasting are a serious and hazardous outcome of these activities,causing harmful effects on the surrounding environment as well as the nearby *** the local ecology and human communities suffer from the consequences of these *** the severity of blasting vibrations necessitates a thorough evaluation of Peak Particle Velocity(PPV)and frequency,which are essential parameters for measuring vibration *** prediction of vibration occurrence is critically ***,this study employs five machine learning models for predicting the PPV and frequency resulting from quarry *** work compares five machine learning models(XGBoost,Catboost,Bagging,Gradient Boosting,and Random Forest Regression)to choose the most efficient performance *** performance evaluation of each five machine learning models demonstrates each model achieved a performance of more than 0.90 during the testing phase,there was a strong correlation observed between the actual and the predicted *** analysis of performance metrics shows Catboost regression model demonstrate better performance prediction comparing with the other models with R^(2)=0.983,MSE=0.000078,RMSE=0.008,NRMSE=0.019,MAD=0.004,MAPE=35.197 in the PPV prediction,and R^(2)=0.975,MSE=0.000243,RMSE=0.015,NRMSE=0.031,MAD=0.008,MAPE=37.281 for the frequency *** study will help mining engineers and blasting experts to select the best machine learning model and its hyperparameters in estimating ground vibration,and *** the context of the mining and civil industry,the application of this study offers significant potential for enhancing safety protocols and optimizing operational *** employing machine learning models,this research aims to accurately predict and assess ground vibrations with frequency resulting from rock blasting.

关键词： PPV Frequency Machine learning Blasting Regression Catboost XGboost

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Maize Crop Yield Prediction Using Machine Learning Regression Approach 5th

Maize Crop Yield Prediction Using Machine Learning Regressio...

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5th International Conference on Advances in Distributed Computing and Machine Learning, ICADCML 2024

作者： Bedane, Tarikwa Tesfa Kebede, Kidistie Bizuneh Mohapatra, Sudhir Kumar Das, Tapan Kumar Tripathy, Asis Kumar Department of Software Engineering Addis Ababa Science and Technology University Addis Ababa Ethiopia Agricultural Transformation Institute Addis Ababa Ethiopia Faculty of Emerging Technologies Sri Sri University Cuttack India School of Computer Science Engineering and Information Systems Vellore Institute of Technology Vellore India

ISBN: (纸本)9789819735228

Given maize’s significant role as a staple crop, it becomes imperative to carry out precise crop yield prediction to ensure food security. This research employs machine learning algorithms to analyze historical data related to maize crop yields, with the aim of developing a predictive model. The outcome of this study can serve as a valuable tool for pre-harvest planning and measuring crop production per unit of land area. The dataset utilized in this research spans from 2010 to 2021 and was sourced from Ethiopia’s Central Statistical Agency. Three machine learning regression algorithms—Logistic Regression, XGBoost, and Random Forest—were employed to design the predictive model. After data preparation and preprocessing, a total of 436,358 records were used for model development. The models were further trained with reduced features using principal component analysis (PCA). The experimental results demonstrate that the Random Forest algorithm, trained with a reduced number of features through PCA, yielded superior performance, with a lower error rate and a high R2 score of 0.98. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Machine learning

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Transcriptomic analysis of Andrias davidianus meat and experimental validation for exploring its bioactive components as functional foods

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Food science and Human Wellness 2024年第1期13卷 166-172页

作者： Changge Guan Zhenglin Tan Shucheng Li Yi Wang Naoyuki Yamamoto Chong Zhang Songjun Wang Junjie Chen Xinhui Xing Key Laboratory for Industrial Biocatalysis Ministry of Education of ChinaDepartment of Chemical EngineeringTsinghua UniversityBeijing 100084China School of Life Science and Technology Tokyo Institute of TechnologyYokohama 226-0026Japan Sensing System Research Center National Institute of Advanced Industrial Science and TechnologyTsukuba 305-8565Japan Center for Synthetic and Systems Biology Tsinghua UniversityBeijing 100084China Henan Giant Salamander Protection and Development Association Luoyang 471000China Intelligent Computing Research Center Harbin Institute of TechnologyShenzhen 518071China Institute of Biopharmaceutical and Health Engineering Tsinghua Shenzhen International Graduate SchoolShenzhen 518055China Institute of Biomedical Health Technology and Engineering Shenzhen Bay LaboratoryShenzhen 518067China

Andrias davidianus(Chinese giant salamander,CGS)is the largest and oldest extant amphibian species in the world and is a source of prospective functional food in ***,the progress of functional peptides mining was slow due to lack of reference genome and protein sequence *** this study,we illustrated full-length transcriptome sequencing to interpret the proteome of CGS meat and obtain 10703 coding DNA *** functional annotation and amino acid composition analysis,we have discovered various genes related to signal transduction,and 16 genes related to *** have also found vast variety of functional peptides through protein coding sequence(CDS)analysis by comparing the data obtained with the functional peptide ***-Pro-Ile predicted by the CDS analysis was released from the CGS meat through enzymatic hydrolysis,suggesting that our approach is *** study suggested that transcriptomic analysis can be used as a reference to guide polypeptide mining in CGS meat,thereby providing a powerful mining strategy for the bioresources with unknown genomic and proteomic sequences.

关键词： Chinese giant salamander Transcriptomic analysis Bioactive components Functional peptides mining

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Implementation and Performance Evaluation of Memory System Using Addressable Cache for HPC Applications on HBM2 Equipped FPGAs 28th

Implementation and Performance Evaluation of Memory System...

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28th International European Conference on Parallel and Distributed Computing , Euro-Par 2022

作者： Fujita, Norihisa Kobayashi, Ryohei Yamaguchi, Yoshiki Boku, Taisuke Center for Computational Sciences University of Tsukuba Tsukuba Japan Degree Programs in Systems and Information Engineering Graduate School of Science and Technology University of Tsukuba Tsukuba Japan

ISBN: (纸本)9783031312083

When we apply field programmable gate arrays (FPGAs) as HPC accelerators, their memory bandwidth presents a significant challenge because it is not comparable to those of other HPC accelerators. In this paper, we propose a memory system for HBM2-equipped FPGAs and HPC applications that uses block RAMs as an addressable cache implemented between HBM2 and an application. This architecture enables data transfer between HBM2 and the cache bulk and allows an application to utilize fast random access on BRAMs. This study demonstrates the implementation and performance evaluation of our new memory system for HPC and HBM2 on an FPGA. Furthermore, we describe the API that can be used to control this system from the host. We implement RISC-V cores in an FPGA as controllers to realize fine-grain data transfer control and to prevent overheads derived from the PCI Express bus. The proposed system is implemented on eight memory channels and achieves 102.7 GB/s of the bandwidth. It overcomes the memory bandwidth of conventional FPGA boards with four channels of DDR4 memory despite using only 8 of 32 channels of the HBM2. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Data transfer

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COLORLESS DISTRIBUTED COMBUSTION OF DIFFUSION METHANE FLAME USING TWO CYCLONIC INLET BURNERS

COLORLESS DISTRIBUTED COMBUSTION OF DIFFUSION METHANE FLAME ...

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作者： Kekec, Kenan Bilgin Karyeyen, Serhat Ilbas, Mustafa Graduate School of Natural and Applied Science Gazi University Ankara Turkey Gazi University Faculty of Technology Department of Energy Systems Engineering Teknikokullar Ankara06560 Turkey Gazi University Faculty of Technology Department of Energy Systems Engineering Ankara Turkey

Colorless distributed combustion is a novel combustion method providing ultra-low pollutant emissions, a more uniform thermal field, etc. It can be implemented in many types of burners like cyclonic burners. Cyclonic burners, intrinsically, can enable a more uniform thermal field, less pollutant emissions, and more residence time due to high internal recirculation. Diffusion methane flame using a cyclonic burner was modeled through a commercial computational fluid dynamics (CFD) code to enable both external and internal recirculation in the study presented. In the modeling, the Reynolds stress model that predicts accurately higher level turbulence closures was used as the turbulence model. The assumed-shape with β-function probability density function nonpremixed combustion and P-1 radiation models were also used as the combustion and radiation models, respectively. Nitrogen (N2) as the diluent was used to reduce oxygen concentration in the oxidizer from 21% to 15%. With decreasing oxygen concentration, it was predicted that NOx and CO pollutants emissions decreased considerably at the burner outlet (ultra-low NOx value, less than 1 ppm). Modeling was also performed at various equivalence ratios. According to the results predicted, NOx and CO emissions decreased substantially even if ultra-low NOx emission levels could not be achieved compared to distributed conditions. In addition to those, cross-flow oxidizer inlet configuration was studied under the same conditions, and much lower NOx levels were achieved at higher oxygen concentrations. Therefore, the distributed regime has enabled ultra-low NOx and considerably less CO pollutant emissions with a more uniform thermal field for all cases studied. © 2022 Begell House Inc.. All rights reserved.

关键词： Methane

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A Review on Machine Unlearning

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SN Computer science 2023年第4期4卷 337页

作者： Zhang, Haibo Nakamura, Toru Isohara, Takamasa Sakurai, Kouichi Department of Information Science and Technology Graduate School of Information Science and Electrical Engineering Kyushu University Fukuoka 819-0395 Japan KDDI Research Inc. Fujimino 356-8502 Japan Department of Information Science and Technology Faculty of Information Science and Electrical Engineering Kyushu University Fukuoka 819-0395 Japan

Recently, an increasing number of laws have governed the useability of users’ privacy. For example, Article 17 of the General Data Protection Regulation (GDPR), the right to be forgotten, requires machine learning applications to remove a portion of data from a dataset and retrain it if the user makes such a request. Furthermore, from the security perspective, training data for machine learning models, i.e., data that may contain user privacy, should be effectively protected, including appropriate erasure. Therefore, researchers propose various privacy-preserving methods to deal with such issues as machine unlearning. This paper provides an in-depth review of the security and privacy concerns in machine learning models. First, we present how machine learning can use users’ private data in daily life and the role that the GDPR plays in this problem. Then, we introduce the concept of machine unlearning by describing the security threats in machine learning models and how to protect users’ privacy from being violated using machine learning platforms. As the core content of the paper, we introduce and analyze current machine unlearning approaches and several representative results and discuss them in the context of the data lineage. Furthermore, we also discuss the future research challenges in this field. © 2023, The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd.

关键词： Data lineage Machine learning Machine unlearning Privacy Security

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A Study on a Sensory Feedback Armband Providing Sensory Information of Gripping Force and Finger Posture for Patients with Hand Paralysis

A Study on a Sensory Feedback Armband Providing Sensory Info...

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2023 IEEE International Conference on systems, Man, and Cybernetics, SMC 2023

作者： Yoshikawa, D. Kawamoto, H. Sankai, Y. Graduate School of Science and Technology University of Tsukuba Ibaraki Japan The Institute of Systems and Information Engineering University of Tsukuba Center for Cybernics Research Ibaraki Tsukuba Japan

ISBN: (纸本)9798350337020

Patients with hand paralysis have motor and sensory dysfunction in their hands. They can neither flex/extend their fingers nor feel gripping force or finger posture. To allow patients with hand paralysis to perform gripping motions, it is necessary to assist finger motion and provide sensory information about the gripping force and posture at the residual sensory area. We previously developed a wearable finger-motion assist system that assists finger motion and measures the gripping force necessary to present sensory information. Therefore, the purpose of this study is to propose and develop a wearable system that provides multiple types of sensory information based on gripping force and finger posture estimated by finger-motion assist system, and to confirm the basic performance of the system through experiments. We developed a band-type sensory feedback system that tightens the forearm in response to gripping force using tendon-driven wires. A vibrator is installed in it, and the intensity of vibration changes in response to finger posture. As basic experiments, identification of gripping force and finger posture using band squeezing and vibration was tested. The results showed the overall identification rate for the combination of gripping force and finger posture that were both correct was 75.6%. The identification rates for gripping force and finger posture when stimulations were presented simultaneously were 93.3 % and 80.9 %, respectively. In conclusion, we confirmed the feasibility of this system that presents multiple types of sensory information. © 2023 IEEE.

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RESEARCH ON THE EFFECTS OF BUILDING WELLNESS ON REAL ESTATE RENTS

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AIJ Journal of technology and Design 2022年第68期28卷 326-331页

作者： Kubo, Ryutaro Hayashi, Tatsuya Hiyama, Kyosuke Dept. of Building Technologists Institute of Technologists Graduate School of Engineering Chiba Univ. Dept. of Architecture Faculty of Science and Technology Meiji Univ.

In recent years, enhancing worker productivity is being recognized as one of the important management issues of companies in response to global environmental issues and work style reforms by governments. In Japan, the CASBEE-Wellness Office was developed in 2019. To disseminate this assessment system and widely expand wellness offices in the real estate market in the future, it is important to demonstrate the benefits to the related market participants. In this study, we report the findings of building performance assessment using CASBEE-Wellness Office for office buildings and a comparison of rent, which is considered to affect building value. © 2022 Architectural Institute of Japan. All rights reserved.

关键词： Productivity

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Thickness Measurement of Nickel Plating on the Back Side using a Combined Magnetic Field with AC of Two Different Frequencies

Thickness Measurement of Nickel Plating on the Back Side usi...

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2023 IEEE International Magnetic Conference - Short Papers, INTERMAG Short Papers 2023

作者： Kawada, Kohei Mio, Syunsuke Gotoh, Yuji Oita University Graduate School of Engineering 700 Dannoharu Oita870-1192 Japan Oita University Faculty of Science and Technology Department of Innovative Engineering 700 Dannoharu Oita8701192 Japan

ISBN: (纸本)9798350338362

Nickel plating is used on the surface of rolled steel plates in paper mills. And it is important to monitor the thickness of the nickel layer of the nickel plating plate. In this research, the electromagnetic inspection method for the thickness of the nickel plating using the difference in electromagnetic properties between the nickel and the base material steel is proposed. On the other hand, the nickel plating plates have mechanical limitations in the papermaking process, so it is necessary to evaluate the thickness of the nickel layer from the back side of the nickel plating plate. Therefore, the electromagnetic inspection method for measuring the thickness of nickel plating on the back side using a combined magnetic field of two different frequencies is proposed. In this proposed method, it is possible to measure the nickel plating thickness of about 50 μm from the back side of the nickel steel plate. © 2023 IEEE.

关键词： Electromagnetic fields

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Elucidating Noise Mechanism in External-Modulation BOCDR Using Double-Sideband Modulator 16

Elucidating Noise Mechanism in External-Modulation BOCDR Usi...

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16th Pacific Rim Conference on Lasers and Electro-Optics, CLEO-PR 2024

作者： Ozaki, Kouta Kikuchi, Keita Noda, Kohei Yao, Yuguo Lu, Yuangang Lee, Heeyoung Mizuno, Yosuke Graduate School of Engineering and Science Shibaura Institute of Technology Tokyo135-8548 Japan Graduate School of Engineering The University of Tokyo Tokyo113-8656 Japan School of Electrical Engineering and Automation Changshu Institute of Technology Jiangsu 215500 China College of Astronautics Nanjing University of Aeronautics and Astronautics Nanjing210016 China Yokohama National University Faculty of Engineering Yokohama240-8501 Japan Institute for Multidisciplinary Sciences Yokohama National University Yokohama240-8501 Japan

We elucidate the noise generation mechanism in external-modulation Brillouin optical correlation-domain reflectometry utilizing a double-sideband modulator through both experimental and theoretical analysis. We also d... 详细信息

ISBN: (纸本)9798350372076

关键词： Optical correlation

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