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Conference on Lasers and Electro-Optics (CLEO)

作者： C. Schoenfeld A.-C. Heinrich L. Feuerer d. Bossini S. Sarkisov A. Leitenstorfer Department of Physics and Center for Applied Photonics University of Konstanz Konstanz Germany Laboratory of Optical Structures and Applied Photonics R&D Center «Advanced Electronic Technologies» Tomsk State University Tomsk Russia

Phase-locked mid-infrared pulses tunable between 18 and 50 THz are generated with peak electric fields of 150 MV/cm. The compact and low-noise system aims at subcycle studies of matter under nonlinear driving or adiab... 详细信息

ISBN: (数字)9781957171050

ISBN: (纸本)9781665466660

关键词： Power lasers Lasers and electrooptics Transient analysis Electrooptical waveguides Electric fields

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Two sex pheromone receptors for sexual communication in the American cockroach

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Science China(Life Sciences) 2024年第7期67卷 1455-1467页

作者： Na Li renke dong Huanchao Zeng Yan Zhang run Huang Wei Liu Fengming Cao Jincong Yu Mingtao Liao Jingyou Chen Wenlei Zhang Zejian Huang Jiahui Wang Li Li Shen Zhu danyan Huang Zining Li Xiaoshuai Zhang dongwei Yuan Nan Chen Yongliang Fan Guirong Wang Coby Schal Yufeng Pan Sheng Li Guangdong Provincial Key Laboratory of Insect Developmental Biology and Applied Technology Institute of Insect Science and TechnologySchool of Life SciencesSouth China Normal UniversityGuangzhou 510631China Guangmeiyuan R&D Center Guangdong Provincial Key Laboratory of Insect Developmental Biology and Applied TechnologySouth China Normal UniversityMeizhou 514589China Lingnan Guangdong Laboratory of Modern Agriculture Genome Analysis Laboratory of the Ministry of AgricultureAgricultural Genomics Institute at ShenzhenChinese Academy of Agricultural SciencesShenzhen 518000China State Key Laboratory of Crop Stress Biology for Arid Areas and Key Laboratory of Integrated Pest Management on the Loess Plateau of Ministry of AgricultureNorthwest A&F UniversityYangling 712100China Department of Entomology and Plant Pathology North Carolina State UniversityRaleigh 27695USA The Key Laboratory of Developmental Genes and Human Disease School of Life Science and TechnologySoutheast UniversityNanjing 210096China

Volatile sex pheromones are vital for sexual communication between males and *** of the American cockroach,Periplaneta americana,produce and emit two sex pheromone components,periplanone-A(PA)and periplanone-B(PB).Although PB is the major sex attractant and can attract males,how it interacts with PA in regulating sexual behaviors is still *** this study,we found that in male cockroaches,PA counteracted PB *** identified two odorant receptors(Ors),Or53 and Or100,as PB/PA and PA receptors,***53 and Or100 were predominantly expressed in the antennae of sexually mature males,and their expression levels were regulated by the sex differentiation pathway and nutrition-responsive *** localization of Or53 and Or100 in male antennae further revealed that two types of sensilla coordinate a complex two-pheromone-two-receptor pathway in regulating cockroach sexual *** findings indicate distinct functions of the two sex pheromone components,identify their receptors and possible regulatory mechanisms underlying the male-specific and age-dependent sexual behaviors,and can guide novel strategies for pest management.

关键词： sex pheromone odorant receptor sexual attraction sex differentiation cockroach

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Meal intention recognition system based on gaze direction estimation using deep learning for the user of meal assistant robot

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Journal of Institute of Control, robotics and Systems 2021年第5期27卷 334-341页

作者： Park, Hyunji Jang, Inhoon Ko, Kwangeun Applied Robot R&D Department Korea Institute of Industrial Technology Korea Republic of Department of Computer Science & Engineering Hanyang University Korea Republic of Industry Academic Cooperation Foundation Hankyong National University Korea Republic of

Care robots that provide dietary supplements to the elderly and the disabled should be able to intelligently interact with the users’ intention to eat in real-time and provide the food they want. To this end, based on deep learning, we have developed a user interface that facilitates the selection of food to be eaten according to six user gaze directions. A single-stage object-detection deep learning model has been implemented as a lightweight, single-stage object-detection deep learning model that can be installed on commercial tablets, and the accuracy of this model was 0.9857. © ICrOS 2021.

关键词： Human robot interaction

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Numerical and experimental investigation of the ballistic performance of the armor structure with in-layer deflector against bullets

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Latin American Journal of Solids and Structures 2022年第8期19卷

作者： Çalışkan, Mehmet Camcı, Erdal Findik, Fehim Mechanical Engineering Department Sakarya University of Applied Sciences Sakarya Serdivan Turkey Arifiye Vocational School Sakarya University of Applied Sciences Arifiye Sakarya Turkey Metallurgical and Materials Engineering Department Sakarya University of Applied Sciences Sakarya Serdivan Turkey BIOENAMS R&D Group Sakarya University Sakarya Turkey

This is a study to investigate ballistics performance of armor structures with in-layer deflector against projectiles. For this purpose, the armor structure, which consists of a v-cross section sheet metal array covered with aluminum and steel plates, has been designed and optimized. Firstly, numerical simulations were studied using the finite-element method (FEM). The ANSYS LS-dYNA FE software is used for the ballistic analysis. The Johnson-Cook constitutive equation and damage model were used to model the behavior of metal armors under impact in the ballistic simulations. In the next step, experimental studies were carried out. Penetration depths were measured;including the magnitude of plate bending in front of the target plate and bulging behind it. Comparisons between the results of the finite element analysis (FEA) and the tests reveal that a bullet with a velocity of 868 m/s penetrated the target, but the target could not be penetrated at a firing speed of 631 m/s Furthermore the experimental and numerical results were in good agreement. © 2022, Marcílio Alves. All rights reserved.

关键词： Finite element method

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Energetic and Smart design of Battery Management Scheme to Improve the Lifetime of Electric Vehicles

Energetic and Smart Design of Battery Management Scheme to I...

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2023 International Conference on Sustainable Communication Networks and Application, ICSCNA 2023

作者： Varatharaju, V.M. Chidambaranathan, C.M. Karthik, Mamidala Vijay Sathi, G. Pandi, V. Samuthira Shobana, d. University of Technology and Applied Science Electrical Section Engineering Department Ibra Oman Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology Department of Computer Science and Engineering Tamil Nadu India Cmr Engineering College Department of Electrical & Electronics Engineering Telangana Hyderabad India Prince Shri Venkateshwara Padmavathy Engineering College Department of Mechanical Engineering Tamil Nadu Chennai India Chennai Institute of Technology Centre for Advanced Wireless Integrated Technology Tamil Nadu Chennai India Rajalakshmi Engineering College Department of Electrical and Electronics Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798350313987

In order to maximize efficiency, electric vehicles use Battery Management Systems (BMS) to manage their rechargeable batteries. The battery's safety and dependability are ensured by the battery management system, and the battery's age is extended without being damaged. Various monitoring methods are used to keep track of the battery pack's charging capacity, voltage-levels, current-ratings and ecological pressure ratio. A variety of analogue and digital sensors are employed with microcontrollers for this purpose. Several powerful batteries have been developed as a result of the tremendous advances in the field of batteries over the past ten years. High-power batteries with suitable battery management systems are essential for the safe and reliable operation of Electric Vehicles (EVs). This paper will address the power sources utilized by electric automobiles and the primary problems of battery control systems, as well as compare both the lithium ion battery as well as the metal based nickel-hydride batteries in regards to growing older along with the impact caused by climate through the use of the State-of-Charge (SOC) and closed device electricity. This study's goal is to compare and contrast different intelligence techniques along with the control methods used in electric vehicle battery management platforms. The study assesses the characteristics, structure, configuration, accuracy, benefits, and downsides of intelligent algorithms for estimating the condition of a battery. Focusing on parts, characteristics, aims, outcomes, advantages, and restrictions, this research analyses the various controllers used for warming, cooling, balancing, and protecting batteries. © 2023 IEEE.

关键词： Battery Management Systems BMS Electric Vehicles EVs SOC State-of-Charge

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Classification of Alcohol, drug and Sleep Condition from Periocular Iris Images

SSRN

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SSrN 2023年

作者： Tapia Farias, Juan E. Benalcazar, daniel Valenzuela, Andrés Causa, Leonardo droguett, Enrique López Busch, Christoph University of Applied Sciences Darmstadt Germany University of Chile Chile TOC Biometrics R&D Center Santiago Chile Department of Civil and Environmental Engineering Garrick Institute for the Risk Sciences University of California Los Angeles United States

This research proposes a new insight into the iris recognition capture devices traditionally used to identify people. Now, we are using the same capture device to extract complementary information from periocular near-infrared iris images to detect the reduction of alertness conditions due to alcohol, drug and sleepiness. The study focuses on determining the effect of external factors on the Central Nervous System. The goal is to analyse how these factors impact iris/pupil movement behaviours and if it is possible to classify these changes with a standard iris NIr device. This paper proposes a modified MobileNetV2 to classify subjects under alcohol/drugs/sleepiness influences into Fit and Unfit. Further, on that, a new four-classes database was created. The results show that the MobileNetV2 classifier can detect the Unfit condition from iris samples captured after alcohol/drug consumption with an accuracy of 91.3\% and 99.1\%, respectively. The sleepiness condition is the most challenging, with 72.4\%. For two-class grouped on Fit/Unfit, the model obtained an accuracy of 94.0\% and 84.0\%, respectively. This work is a step forward in iris biometric applications. © 2023, The Authors. All rights reserved.

关键词： Biometrics

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Exploring the relationship between the Spatial distribution of roads and Universal Pattern of Travel-route Efficiency in Urban road Networks

SSRN

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SSrN 2023年

作者： Lee, Minjin Cheon, SangHyun Son, Seung-Woo Lee, Mi Jin Lee, Sungmin Department of Applied Physics Hanyang University Ansan15588 Korea Republic of Department of Urban Planning and Design Hongik University Seoul04066 Korea Republic of Department of Applied Artificial Intelligence Center for Bionano Intelligence Education and Research Hanyang University Ansan15588 Korea Republic of R&D Center PharmCADD Co. Seoul06180 Korea Republic of

Urban road networks are well known to have universal characteristics and scale-invariant patterns, despite the different geographical and historical environments of cities. Previous studies on universal characteristics of the urban road networks mostly have paid attention to their network properties but often ignored the spatial networked structures. To fill the research gap, we explore the underlying spatial patterns of road networks. In doing so, we inspect the travel-route efficiency in a given road network across 70 global cities which provides information on the usage pattern and functionality of the road structure. The efficiency is quantified by the detour patterns of the travel routes, estimated by the detour index (dI). The dI is a long-standing popular measure, but its spatiality has been barely considered so far. In this study, we probe the behavior of dI with respect to spatial variables by scanning the network radially from a city center. Through empirical analysis, we first discover universal properties in dI throughout most cities, which are summarized as a constant behavior of dI regardless of the radial position from a city center and clear collapse into a single curve for dIs for various radii with respect to the angular distance. Especially, the latter enables us to know the scaling factor in the length scale. We also reveal that the core-periphery spatial structure of the roads induces the universal pattern, which is supported by an artificial road network model. Furthermore, we visualize the spatial dI pattern on the city map to figure out the city-specific characteristics. The most and least efficient connections of several representative cities show the potential for practical implications in analyzing individual cities. © 2023, The Authors. All rights reserved.

关键词： Efficiency

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Linearized Gait Phase Estimation Using BiLSTM

Linearized Gait Phase Estimation Using BiLSTM

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International Conference on Electronics, Information and Communications (ICEIC)

作者： Yonghyun Lee dongbin Shin Younghoon Ji Hyeyoun Jang Changsoo Han Yeonjoon Lee Department Of Applied Artificial Intelligence (Major In Bio Artificial Intelligence) Hanyang University Seoul Korea R&D Center Hexar Humancare Ansan Korea Research&Development Hexar Humancare Ansan Korea CEO Hexar Humancare Ansan Korea Computer Science Hanyang University Ansan Korea

ISBN: (数字)9798331510756

ISBN: (纸本)9798331510763

This paper presents a novel deep learning-based approach to address time-delay challenges arising from nonlinear transformations in Gait Phase Estimation, a critical factor in analyzing human gait for lower limb exoskeleton robots. The proposed model leverages hip joint angles and angular velocities as feature data, organized using a sliding window technique, to predict the Linearized Gait Phase (LGP)‖a continuous repre-sentation of gait progression between Heel Strikes. Motivated by the need for real-time and precise gait phase estimation to enhance exoskeleton control, a Bidirectional LSTM network was employed to reduce delays and improve accuracy. The model's effectiveness was validated through comprehensive performance evaluations using metrics such as Mean Absolute Error (MAE), root Mean Square Error (rMSE), Mean Square Error (MSE), and r2 score, alongside a temporal analysis of delay reduction. The results demonstrated superior performance, with an MAE of 2.8±0.8%, rMSE of 3.9±1.2%, MSE of 0.1±0.1%, and an r2 score of 98.1±1.8%. Particularly, temporal analysis revealed a marked improvement, achieving an MAE of 0%, compared to 2.74±0.92% reported in prior studies. These findings underscore the proposed model's potential for real-time gait phase estimation, offering significant implications for enhancing the responsiveness and adaptability of lower limb exoskeleton robots.

关键词： Performance evaluation Limbs Phase estimation Exoskeletons Bidirectional long short term memory Predictive models real-time systems delays root mean square robots

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Exploring the relationship between the spatial distribution of roads and universal pattern of travel-route efficiency in urban road networks

arXiv

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arXiv 2023年

关键词： Efficiency

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Lamellar structured GO-Melamine nanocomposite membranes with varying d-spacing for efficient organic solvent nanofiltration (OSN)

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Journal of Membrane Science 2024年 699卷

作者： Abebe, Shalligito Habetamu TM, Subrahmanya Faye M Austria, Hannah Nayak, Smrutiranjan Setiawan, Owen Huang, Tsung-Han Hung, Wei-Song Hu, Chien-Chieh Lee, Kueir-rarn Lai, Juin-Yih Advanced Membrane Materials Research Center Graduate Institute of Applied Science and Technology National Taiwan University of Science and Technology Taipei10607 Taiwan R&D Center for Membrane Technology Chung Yuan University Chung-Li32023 Taiwan Department of Chemical Engineering and Materials Science Yuan Ze University Taoyuan32023 Taiwan

There is a lot of research being done on GO lamellar 2d membranes for separating organic solvents and dyes. These membranes are highly sought-after due to their exceptional characteristics. However, existing challenges include inadequate solvent permeability and limited dye rejection capacity due to swelling of membranes. In this study, we proposed a novel technique that employs low-pressure assisted filtration to fabricate nanocomposite membranes using GO and melamine. remarkably, these composite membranes exhibited outstanding separation performance for dyes (≥99.06 %) in organic solvents, regardless of their positive or negative charges or when present in mixtures. The optimum GO-M0.02 nanocomposite membrane exhibits impressive organic solvent flux (J), attaining a value as high as 50.8 L/m2h (acetone), which is 6.57 times greater than that of the pure GO membrane. Furthermore, these GO-Melamine nanocomposite membranes showed excellent durability against both common and harsh organic solvents, and the flux of solvents through the GO-M0.02 nanocomposite membrane remained almost unchanged even after being immersed in methanol for up to one week. Additionally, the membrane exhibited consistent solvent flux and rejection rates for methyl green during continuous filtration. These results highlight the exceptional stability and immense potential of GO-melamine nanocomposite membranes for real organic solvent nanofiltration. © 2024 Elsevier B.V.

关键词： Nanofiltration

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