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An Implementation and Design of a Digital Light Switch of Smart-Home Based on MQTT Broker 4

An Implementation and Design of a Digital Light Switch of Sm...

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4th IEEE International Conference on Knowledge Innovation and Invention, ICKII 2021

作者： Tsao, Yung-Chung Wu, Chia-Chun Kuo, Yaw-Wen Tsai, Yin-Te Hsu, Chihcheng Wang, Renjie Chou, Polun Ho, Liulin Li, Chiyang Ko, Chihsheng National Chi Nan University Dep. of Electrical Engineering Puli Taiwan National Quemoy University Dep. of Industrial Engineering and Management Kinmen Taiwan Providence University Dep. of Computer Science and Communication Engineering Taichung Taiwan National Central Univeristy Dep. of Information Management Chung-Li Taiwan College of Science and Technology National Chi Nan University Taiwan

ISBN: (纸本)9781665423076

Home appliances are designed and manufactured for the market. Most users find that APPs are installed on smartphones or tablets to control home appliances with individual APP. Even light-bulbs with different brands or models need exclusive control software to corresponding light-bulbs. Thus, the smart and intelligent technology for smart-home is difficult to use due to different brands home-appliances from different manufactures. It lacks a standard to coordinate the control way like traditional light-bulbs-based E27 specs. For the light-bulbs of home appliances as an example, the traditional light-bulbs-based E27 lamp-holder have different fixtures and power-supply. Thus, new light-bulbs of home appliances for smart-home need a complex control-way besides electronic power to achieve smart functions and remote-control based on APPs on users' smart-phone. In this research, we try to integrate the internet of thing and message queue telemetry transport (MQTT) to design a mechanism and to implement a prototype web system to achieve an instant and visualized digital light switch of smart-home to solve the problems. For the validation of this research, we used a NodeMCU-32 microcontroller unit as a micro-controller to integrate with WS2812B LED strips to design light tube and light-bulb as the proof of concept (PoC) to demonstrate it in smart-home. © 2021 IEEE.

关键词： Internet of things

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3D Integration for Modular Quantum computer based on Diamond Spin Qubits

3D Integration for Modular Quantum Computer based on Diamond...

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IEEE International Conference on Interconnect technology

作者： R. Ishihara J. Hermias S. Neji K. Y. Yu M. van der Maas S. Nur T. Iwai T. Miyatake S. Miyahara K. Kawaguchi S. Sato QuTech Dep. Quantum and Computer Engineering Delft University of Technology Delft The Netherlands Quantum Hardware Project Quantum Laboratory Fujitsu Research Fujitsu Limited Atsugi Japan

Quantum computer chip based on spin qubits in diamond uses modules that are entangled with on-chip optical links. This enables an increased connectivity and a negligible crosstalk and error-rate when the number of qubits increases onchip. Here, 3D integration is the key enabling technology for a large-scale integration of the diamond spin qubits with photonic and electronic circuits for routing, control and readout of qubits. There are several engineering challenges to integrate the large number of spins in diamond with the on-chip circuits operating at a cryogenic temperature. In this paper we will address challenges, present recent results and discuss future outlook of the integration technology for realization of a scalable quantum computer based on diamond spin qubits.

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The Role of the Internet of Things in Monitoring Air Pollution-A Survey

The Role of the Internet of Things in Monitoring Air Polluti...

引用

International Conference on Information technology (ICIT)

作者： Ahmad Abusukhon Bareeq Alghannam Computer Science Dep. Faculty of Science and Information Technology Al-Zaytoonah University of Jordan Amman Jordan Department of Computer Science and Information System College of Business Studies The Public Authority for Applied Education and Training Kuwait City Kuwait

Air pollution is one of the most common problems that the world is facing today. In fact, there are numerous causes of air pollution, including the large number of industries and automobiles that emit carbon dioxide (CO2) and carbon monoxide. Pollution is increasing on a daily basis, making air quality monitoring and management a major challenge for governments in both developed and developing countries. Air pollution affects human health as well as the atmosphere, causing climate change. One of the techniques used for monitoring air pollution is the Internet of Things (IoT). In this paper, we demonstrate various techniques for monitoring air quality using IoT and make a comparison based on various factors elicited from the previous work.

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Investigation and Study of the Performance of a DVB over Satellite Link Using M-Ary PSK 2

Investigation and Study of the Performance of a DVB over Sat...

引用

2nd IEEE International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and computer Engineering, MI-STA 2022

作者： Bishi, Hager Alshepane, Somya H. Alhaddar, Kheriya F. Alnour, Saaida E. Electronic Technology Collage Communication Dep. Tripoli Libya Higher Institute of Science and Technology EE Department Al Khomes Libya Al-Mergib University Department of Electrical and Computer Engineering Al Khomes Libya Al-Gharefa College of Technical Engineering EE Department Al-Gharefa Libya

ISBN: (数字)9781665479189

ISBN: (纸本)9781665479189

In this paper, the performance of a Digital Video Broadcasting Over Satellite Link, a digital Video second-generation for satellite broadcasting (DVB-S2), was investigated and studied as a case study. The simulation was done by using Matlab in order to evaluate DVB-S2 performance developments in channel coding (LDPC codes) combined with modulation schemes (QPSK and 8-PSK ), code rates, forward error correction (FEC) and transmission channels. The obtained simulation results were graphically presented, where the bit error rate as a function of the signal to noise ratio (S/N) was evaluated as well. © 2022 IEEE.

关键词： Signal to noise ratio

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Basic Study for Transfer Learning for Autonomous Driving in Car Race of Model Car 6

Basic Study for Transfer Learning for Autonomous Driving in ...

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6th International Conference on Business and Industrial Research, ICBIR 2021

作者： Chiba, Shohei Sasaoka, Hisayuki National Institute of Technology Asahikawa College Advanced Course of Production System Engineering Asahikawa Japan National Institute of Technology Asahikawa College Dep. of Electrical and Computer Engineering Asahikawa Japan

ISBN: (纸本)9781665433495

Reinforcement learning, deep learning, and deep reinforcement learning can effectively acquire action rules for the autonomous motion of objects. However, some researchers have reported that the machine learning process requires a large amount of learning time. Besides, the process needs to consider the similarity of the environment between the training target and the test target. There is no such thing as driving only on a course learned in advance in actual autonomous driving. In this study, we have used a transfer learning algorithm for autonomous drivings for model cars. The training target for acquiring the learning model and the actual driving courses are changed. In this study, we report on the effectiveness of transfer learning using a model car as the basis for a learning model acquired by reinforcement learning. © 2021 IEEE.

关键词： Deep learning

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Speech Emotion Recognition Using Deep Learning Techniques and Augmented Features

Speech Emotion Recognition Using Deep Learning Techniques an...

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International Conference on Electrical Engineering, computer Science and Informatics (EECSI)

作者： Shahed Mohammadi Niloufar Hemati Ali Hashemi Haniye Zandiye Computer Science & Systems Engineering Dep. Ayandegan University Mazandaran Iran Islamic Azad University Central Tehran Branch Tehran Iran Qom University of Technology Qom Iran

This paper presents a study on speech emotion recognition using deep learning techniques. The focus is on utilizing the Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS) and the Toronto Emotional Speech Set (TESS) datasets. The proposed approach involves preprocessing the audio signals by converting them into a sequence of numbers and normalizing them using max normalization. Furthermore, the signals are augmented using three methods: noise with a 0.015 noise rate, pitch adjustment, and a combination of noise with a 0.03 noise rate and pitch adjustment. The extraction of audio features includes a combination of two features, namely Mel Frequency Cepstrum Coefficients (MFCC) and Root Mean Square (RMS) energy, which provide distinct information from each other. These features are then used to train a CNN for emotion classification. Experimental results demonstrate the effectiveness of the proposed approach in accurately recognizing emotions from speech signals. The proposed approach achieves an accuracy of 93.6% on the RAVDESS dataset and 99.9% on the TESS dataset. These results highlight the potential of the proposed approach in practical applications such as speech therapy and human-computer interaction.

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Causal Discovery via Conditional Indep.ndence Testing with Proxy Variables 41

Causal Discovery via Conditional Independence Testing with P...

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41st International Conference on Machine Learning, ICML 2024

作者： Liu, Mingzhou Sun, Xinwei Qiao, Yu Wang, Yizhou School of Computer Science Peking University China Peking University China Sch. of Data Science Fudan University China Dep. of Automation Shanghai Jiao Tong University China Inst. for Artificial Intelligence Peking University China Nat'l Eng. Research Center of Visual Technology Peking University China Nat'l Key Lab of General Artificial Intelligence Peking University China

Distinguishing causal connections from correlations is important in many scenarios. However, the presence of unobserved variables, such as the latent confounder, can introduce bias in conditional indep.ndence testing commonly employed in constraint-based causal discovery for identifying causal relations. To address this issue, existing methods introduced proxy variables to adjust for the bias caused by unobserveness. However, these methods were either limited to categorical variables or relied on strong parametric assumptions for identification. In this paper, we propose a novel hypothesis-testing procedure that can effectively examine the existence of the causal relationship over continuous variables, without any parametric constraint. Our procedure is based on discretization, which under completeness conditions, is able to asymptotically establish a linear equation whose coefficient vector is identifiable under the causal null hypothesis. Based on this, we introduce our test statistic and demonstrate its asymptotic level and power. We validate the effectiveness of our procedure using both synthetic and real-world data. Code is publicly available at https://***/lmz123321/proxy_causal_discovery. Copyright 2024 by the author(s)

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A Proposed Approach for Risk Planning and Management

A Proposed Approach for Risk Planning and Management

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Information technology (ACIT)

作者： Mohammed N. Al Refai Yazan Al-Smadi Adai Al-Momani Zeyad M. Jamhawi Ahmed Ali Otoom Issa Atoum Ahid Yaseen Jafar Ababneh Mohammad Kanan Software Engineering Dep. Zarqa University Zarqa Jordan Department of Computer Science Zarqa University Zarqa Jordan Department of Computer Science Applied Science Private University Amman Jordan Department of Cyber Security Applied Science Private University Amman Jordan Software Engineering Department Faculty of Information Technology Philadelphia University Jordan Department of Cyber Security Zarqa University Zarqa Jordan Dep. of Industry Engineering University of Business and Technelogy Jeddah Saudi Arabia

ISBN: (数字)9798331540012

ISBN: (纸本)9798331540029

Project Risk management is the process of identifying, evaluating, avoiding, or reducing risks. Where there is no software project without risks existence are natural in the context of project planning and management. This study focuses on proposing an enhanced risk management approach where testing phases were added to make the risk management process more effective by proposing solutions to many mistakes and challenges that occur through dealing with risks. The proposed approach focuses on dealing with risks that cannot be easily defined, more accurate risk evaluation, planning, and managing risk coordinated with a contingency plan.

关键词： Technological innovation Accuracy Contingency management Process control Software Planning Risk management Information technology Testing

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Development of an AI-based bioacoustic wolf monitoring system 35th

Development of an AI-based bioacoustic wolf monitoring syste...

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35th International Florida Artificial Intelligence Research Society Conference, FLAIRS-35 2022

作者： Stähli, Olivier Ost, Thomas Studer, Thomas College of Management of Technology EPFL Odyssea Station 5 Lausanne1015 Switzerland Life Science Dep. Supercomputing Systems AG Technoparkstrasse 1 Zürich8005 Switzerland Institute of Computer Science University of Bern Neubrückstrasse 10 Bern3012 Switzerland

Wolves are spreading in the Alpine region at an increasing rate, which leads to human–wolf conflicts. In order to reduce those and to perform an active wolf management, solid information about the presence of wolves is required. Getting this information is challenging since wolves are nocturnal, have sharp senses, and large territories. A monitoring method is to detect wolf howling, which can be heard over several kilo-metres and therefore simplifies finding them. Current acoustic methods, however, are very labour-intensive as a memory card has to be fetched from the device in the field and then the recordings have to be checked for howling manually. We present a novel approach to acoustic wolf monitoring using a convolutional neural network that runs on an embedded system in the wolf territory. Thus, we obtain accurate real-time information about the presence of wolves. On our data set, we achieve an F1-score of 0.61, thus outperforming previous systems by far. We develop prototypes and conduct two field test: first in a zoo, where we even achieve an F1-score of 0.8, and then in a wolf territory, where we successfully detect wolf howling. © 2021 by the authors. All rights reserved.

关键词： Monitoring

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A Multivariate Functional Analysis of Inter-Hands Spatiotemporal Coordination in Human Bimanual Tasks and its Implications for Robotics

A Multivariate Functional Analysis of Inter-Hands Spatiotemp...

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International Conference on Autonomous Robots and Agents, ICARA

作者： Marco Baracca Andre Meixner Giuseppe Averta Paolo Salaris Tamim Asfour Matteo Bianchi Dept. of Information Engineering Research Center “E. Piaggio” University of Pisa Pisa Italy Institute for Anthropomatics and Robotics Karlsruhe Institute of Technology Karlsruhe Germany Dep. of Control and Computer Engineering Politecnico di Torino Turin Italy

ISBN: (数字)9798331509231

ISBN: (纸本)9798331509248

Dual-arm manipulation is a key enabler for significantly enhancing the interaction between humans and robots, and their capabilities to purposefully shape the surrounding environment. However, the spatiotemporal coordination between the motion of the hands required for this type of actions makes their planning not trivial. A proper definition of these coordination patterns moving from the human example could simplify their translation on the robot side, fostering the generation of effective bimanual tasks. In this work, we propose Multivariate functional Principal Component Analysis (MfPCA) as a mathematical tool to encode inter-hands temporal kinematic covariations in terms of principal spatiotemporal coordination patterns in the Cartesian domain. We compared these patterns extracted from a dataset of human bimanual tasks with those resulting from the usage of classical fPCA, applied indep.ndently to each hand (univariate fPCA). We found that MfPCA allows for a better classification of the tasks, with respect to a state of the art taxonomy. For what concerns motion planning, MfPCA and fPCA yield similar accuracy in the reconstruction of the motion, but with a smaller number of principal components needed in the MfPCA case. These results, although preliminary, can open interesting perspectives for the usage of MfPCA for human-like bimanual motion planning and control of robotic manipulators, as well as for action recognition, to enable a more effective human-robot interaction.

关键词： Hands Translation Shape Robot kinematics Taxonomy Human-robot interaction Functional analysis Planning Spatiotemporal phenomena Principal component analysis

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