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International Conference on Signal Processing and Integrated Networks (SPIN)

作者： Sandeep Gupta Suvendu Samanta Samrat Dutta Department of Electrical Engineering Indian Institute of Technology Kanpur India R and I Program-Smart Machines Tata Consultancy Services India

This paper discusses the advantages of multiunmanned aerial vehicle (UAV) systems over single UAV systems for various applications. The focus is on designing a network rejoin policy for a disconnected UAV from the Flying ad-hoc network (FANET) using a finite-time convergent, chattering-free continuous control strategy. A second-order sliding mode control approach is utilized for position control, and the stability of the proposed control scheme is demonstrated using Lyapunov stability criteria. Numerical simulations are conducted to validate the proposed control scheme and network rejoin policy, and error-tracking results are compared with existing sliding mode control-based methods.

关键词： Stability criteria Position control Signal processing Autonomous aerial vehicles Numerical simulation Ad hoc networks IP networks

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Intelligent Control Design for Quadrotor Perching Application using Neural-Network Augmented Direct Inversion Control Approach

Intelligent Control Design for Quadrotor Perching Applicatio...

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Advancement in Computation & Computer Technologies (InCACCT), International Conference on

作者： Sandeep Gupta Tushar Sandhan Suvendu Samanta Samrat Dutta Department of Electrical Engineering Indian Institute of Technology Kanpur India R and I Program-Smart Machines Tata Consultancy Services India

Abstract-The quadrotor’s altitude(height), attitude(roll, pitch, yaw), and position (x-y directions) controller design are challenging research areas because of their non-linear coupled dynamics and under-actuated system architecture. This study proposes a quadrotor control system based on neural networks of the Elman recurrent learning mechanism. To solve the desired trajectory tracking problem for a quadrotor, a direct inverse control strategy utilizing Elman recurrent neural networks (ERNN) is demonstrated and tested through MATLAB simulation. The simulation findings show that the ERNN-based control systen operates with a minimum mean square error when using the reference flight testing dataset. Theerror-based comparativ analysis shows that ERNN-based altitude, attitude, and position controllers outperform the backpropagation neural network, according to our experiments.

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Capacity Planning of Access Point Deployment for Indoor Positioning System

Capacity Planning of Access Point Deployment for Indoor Posi...

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2021 International Conference on Power, Energy and Innovations, ICPEI 2021

作者： Thitinaruemit, Aphirak Sitjongsatapom, Suchada Prongnuch, Sethakarn Mahanakorn University of Technology The Electrical Engineering Graduate Program Faculty of Engineering and Technology Bangkok Thailand Faculty of Engineering and Technology Dept. of Electronic Engineering Bangkok Thailand Suan Sunandha Rajabhat University Faculty of Industrial Technology Dept. of Computer Engineering Bangkok Thailand

ISBN: (纸本)9781665402163

This paper present the network design and capacity planning of access point (AP) deployment for indoor positioning system. The estimation of WiFi distance is described briefly how to measure the signal strength of AP. Co-channel interference is a key for network design of access point installation for network capacity. The objective function for network capacity planning of AP deployment is to optimize the number of access point and location for indoor positioning system concerning with the minimized co-channel interference. Simulations are tested to install AP for lecture hall in university. Capacity planning design of wireless AP deployment is proposed for indoor position systems in terms of the received signal strength indications (RSSI). We assume the situation is supported for the crowded conference. The requirement of the results of wireless AP positioning in crowded conference rooms are placing the wireless AP in forms of overlap the signal in order to get the strong signal. Experimental results have been tested their received signal of WiFi APs with the 2.4GHz frequency using the receiver installed in laptops to check the signal. The empirical results shown that the strength of RSSI will be received a signal of -44 dBm at a distance of approximately 20 meters. © 2021 IEEE.

关键词： Signal receivers

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Study of the Bus Voltage Magnitude to Monitor Power Quality in the Distribution System

Study of the Bus Voltage Magnitude to Monitor Power Quality ...

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IEEE Canada Electric Power Conference, EPEC

作者： Christopher R. Men Douglas E. Dow Afsaneh Ghanavati Electrical and Computer Engineering Program School of Enginnering Wentworth Institue of Technology Boston MA

ISBN: (纸本)9781665463195

Power quality disturbances can be observed as sags, swells, transients, and harmonics, and can affect customers at varying levels of intensity. It is the responsibility of the utility to supply customers with power, however power quality disruptions can occur during distribution. Traditionally, only voltage information is used to conduct power quality monitoring at the distribution level. It is common to record the RMS values of the bus voltages and to identify abnormal operations based on when a sag or swell occurs. This paper proposes a tool consisting of an algorithm and an accompanying graphical user interface (GUI) that can display historical voltage bus data, analyze the data, and provide the user with information that details voltage behavior outside of a user-defined threshold. The GUI gives the user the interactive ability to import data and set the desired threshold. The algorithm then detects events in the imported data outside of the chosen threshold. It also provides the user with event durations, magnitudes, local maximums, and area. The efficacy of the algorithm was verified by comparing the output determined by the algorithm versus the conclusion drawn by a human observer. Additionally, this paper provides a brief overview of two power quality curves: the Computer and Business Equipment Manufacturers' Association (CBEMA) curve, and the Information technology Industry Council (ITIC) curve. These curves have been utilized in past decades as the common mechanisms to identify voltage variations and the duration of disturbances. Although these curves have proven to have great merit for use as tolerance curves, they may not capture all the necessary details of the events for power quality characterization.

关键词： Measurement Power quality Power system harmonics Observers Threshold voltage Classification algorithms Transient analysis

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Resistive Switching in Biocompatible Glucose Films Doped With Honey for Highly Flexible Nonvolatile Memory Application

IEEE Journal on Flexible Electronics

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IEEE Journal on Flexible Electronics 2022年第4期1卷 207-213页

作者： Lee, Ke-Jing Lin, Hsin-Ni Pal, Parthasarathi Wang, Yeong-Her National Cheng-Kung University Institute of Microelectronics Department of Electrical Engineering Tainan701 Taiwan National Cheng-Kung University Program on Semiconductor Process Technology Academy of Innovative Semiconductor and Sustainable Manufacturing Tainan701 Taiwan National Sun Yat-sen University Department of Physics Kaohsiung804 Taiwan

A mixture of honey and glucose (GH) as a new natural biomaterial for resistive random access memory (RRAM) switching layer on polyethylene terephthalate (PET) substrate is presented. The flexible substrate allows the devices to be bent and used for a wider range of applications. These devices with the GH film exhibit good reproducibility and reliability over more than 300 cycles. Moreover, the ON/OFF ratio of these devices is over 105, and VSET and VRESET are lower than that of the device with a pure glucose film. The nonvolatile nature of the devices is confirmed by measuring retention for 104 s. This switching behavior is attributed to ohmic conduction and trap-controlled space charge-limited current (TC-SCLC) mechanisms that confirm filament formation and breakage at high-resistance state (HRS) and low-resistance state (LRS), respectively. © 2022 IEEE.

关键词： Sol-gel process

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Machine Learning-based Modulation Format Identification and Optical Performance Monitoring Techniques Implementation

Machine Learning-based Modulation Format Identification and ...

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2021 Advanced Communication Technologies and Signal Processing, ACTS 2021

作者： Devi, Pukhrambam Puspa Vincent Simatupang, Joni Welman National Institute of Technology Silchar Department of Electronics and Communication Engineering Institut Teknologi Bandung School of Electrical Engineering and Informatics Bandung40132 Indonesia President University Study Program of Electrical Engineering Bekasi17530 Indonesia

ISBN: (纸本)9781665423373

In this paper, machine learning-based techniques are used to solve and analyze the modulation format recognition problem. The combination of intelligent software and high-performance hardware provides a large scope for innovation in optical networking. Machine learning algorithms can use a large amount of data available from the network monitors to learn and make the network more robust. This is a problem in optical communication that consists of defining the type of digital modulation process in which an electrical signal should be sent. A dataset to represent realistic transmission behaviors was generated using a simulator based on a Gaussian noise model. A multi-layer perceptron was used and tested with different architectures to show that a high level of accuracy is achievable with machine learning. An analysis of the input features was made by using the select K best features method. Finally, an attempt to visualize the data in 2-dimension was made using the Principal Component Analysis (PCA) and t-distributed Stochastic Neighbor Embedding (t-SNE) methods to reduce the dimensionality of the input features and see their relationships. © 2021 IEEE.

关键词： Principal component analysis

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An Improved Unbiased Particle Filter

arXiv

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arXiv 2023年

作者： Jasra, Ajay Maama, Mohamed Ombao, Hernando Applied Mathematics and Computational Science Program Computer Electrical and Mathematical Sciences and Engineering Division King Abdullah University of Science and Technology Thuwal23955-6900 Saudi Arabia Statistics Program Computer Electrical and Mathematical Sciences and Engineering Division King Abdullah University of Science and Technology Thuwal23955-6900 Saudi Arabia

In this paper we consider the filtering of partially observed multi-dimensional diffusion processes that are observed regularly at discrete times. We assume that, for numerical reasons, one has to time-discretize the diffusion process which typically leads to filtering that is subject to discretization bias. The approach in [16] establishes that when only having access to the time discretized diffusion it is possible to remove the discretization bias with an estimator of finite variance. We improve on the method in [16] by introducing a modified estimator based on the recent work of [17]. We show that this new estimator is unbiased and has finite variance. Moreover, we conjecture and verify in numerical simulations that substantial gains are obtained. That is, for a given mean square error (MSE) and a particular class of multi-dimensional diffusion, the cost to achieve the said MSE falls. Copyright © 2023, The Authors. All rights reserved.

关键词： Mean square error

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Automatic Transfer Function Improvement based on Genetic Algorithm 7

Automatic Transfer Function Improvement based on Genetic Alg...

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7th International Conference on engineering, Applied Sciences and technology, ICEAST 2021

作者： Paenoi, Nattapong Sitjongsataporn, Suchada Mahanakorn Inst. of Innov. Faculty of Engineering and Technology Mahanakorn University of Technology Electrical Engineering Program Bangkok Thailand Mahanakorn Inst. of Innov. Faculty of Engineering and Technology Mahanakorn University of Technology Dept. of Electronic Engineering Bangkok Thailand

ISBN: (纸本)9781665441223

This paper presents the automatic transfer function improvement based on the genetic algorithm for searching the optimal transfer function. A traditional genetic algorithm is modified to perform the searching process. The proposed chromosome design is presented in the form of 15-bit supported the resistance and inductance. Transfer function is used to design and control the systems. The optimal fitness function is used for the objective function of system to optimize the transfer function. Experiment results show that the second order of automatic transfer function performed by the genetic algorithm can achieve more accuracy than the traditional first order transfer function process. By the process improvement using the genetic algorithm, the time is used for searching transfer function with the chromosome design under the optimal fitness function by the genetic algorithm is approximately 13.35 seconds. © 2021 IEEE.

关键词： Genetic algorithms

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Density Based Spatial Clustering of Applications with Noise and Sentence Bert Embedding for Indonesian Utterance Clustering

Density Based Spatial Clustering of Applications with Noise ...

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2023 International Conference on Computer Science, Information technology and engineering, ICCoSITE 2023

作者： Hasani, Muhammad Fikri Heryadi, Yaya Arifin, Yulyani Lukas Suparta, Wayan Bina Nusantara University BINUS Graduate Program Computer Science School of Computer Science Computer Science Department Jakarta11480 Indonesia Bina Nusantara University BINUS Graduate Program Computer Science Computer Science Department Jakarta11480 Indonesia Jakarta12930 Indonesia Institut Teknologi Nasional Yogyakarta Faculty of Industrial Technology Department of Electrical Engineering Yogyakarta55281 Indonesia

ISBN: (纸本)9798350320954

Task oriented chatbots are a sub-topic related to chatbots, where chatbots will perform certain tasks with specific goals. One part of creating a task-oriented chatbot is doing intent classification. Intent classification is a task of text classification. As in general text classification, the required dataset requires a label to carry out the classification process. To speed up and help the utterance analysis process, there is already a method, namely clustering, and Density-based clustering is a part of clustering that can determine cluster patterns based on arbitrary data, with DBScan as one of its algorithms. This research used 10000 client utterance data of awhatsapp based e-commerce conversation. SentenceBert also used as a state of art sentence embedding. This research yield silhouette score of 0.327 as the best result from eps of 0.1 and MinPts of 95. However, based on the cluster result, sentences labelled as noise can be further clustered. Text Preprocessing, text augmentation and sentence embedding techniques can be explored to increase the cluster performance. © 2023 IEEE.

关键词： Embeddings

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Prospective evaluation of data-driven models to predict daily risk of Clostridioides difficile infection at 2 large academic health centers (vol 2, pg 1, 2022)

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INFECTION CONTROL & HOSPITAL EPIDEMIOLOGY 2023年第10期44卷 1705-1705页

作者： Kamineni, Meghana Otles, Erkin Oh, Jeeheh Rao, Krishna Young, Vincent B. Li, Benjamin Y. West, Lauren R. Hooper, David C. Shenoy, Erica S. Guttag, John G. Wiens, Jenna Makar, Maggie Electrical Engineering and Computer Science Department Massachusetts Institute of Technology Cambridge Massachusetts Medical Scientist Training Program University of Michigan Medical School Ann Arbor Michigan Department of Industrial and Operations Engineering University of Michigan College of Engineering Ann Arbor Michigan Division of Computer Science and Engineering University of Michigan College of Engineering Ann Arbor Michigan Department of Internal Medicine Division of Infectious Diseases University of Michigan Medical School Ann Arbor Michigan Infection Control Unit Massachusetts General Hospital Boston Massachusetts Division of Infectious Diseases Massachusetts General Hospital Boston Massachusetts Harvard Medical School Boston Massachusetts

Many data-driven patient risk stratification models have not been evaluated prospectively. We performed and compared the prospective and retrospective evaluations of 2 Clostridioides difficile infection (CDI) risk-prediction models at 2 large academic health centers, and we discuss the models’ robustness to data-set shifts.

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