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Haplotype-resolved Chinese male genome assembly based on high-fidelity sequencing

Fundamental Research 2022年第6期2卷 946-953页

作者： Xiaofei Yang Xixi Zhao Shoufang Qu Peng Jia Bo Wang Shenghan Gao Tun Xu Wenxin Zhang Jie Huang Kai Ye Genome Institute the First Affiliated Hospital of Xi'an Jiaotong UniversityXi'an 710061ShaanxiChina School of Computer Science and Technology Faculty of Electronic and Information EngineeringXi'an Jiaotong UniversityXi'an 710049ShaanxiChina MOE Key Lab for Intelligent Networks&Networks Security Faculty of Electronic and Information EngineeringXi'an Jiaotong UniversityXi'an 710049ShaanxiChina National Institutes for food and drug Control(NIFDC) No.2Tiantan XiliDongcheng DistrictBeijing 102629China School of Automation Science and Engineering Faculty of Electronic and Information EngineeringXi'an Jiaotong UniversityXi'an 710049ShaanxiChina School of Life Science and Technology Xi'an Jiaotong UniversityXi'an 710049ShaanxiChina Faculty of Science Leiden UniversityLeidenThe Netherlands

The advantages of both the length and accuracy of high-fidelity(HiFi)reads enable chromosome-scale haplotype-resolved genome *** this study,we sequenced a cell line named HJ,established from a Chinese Han male individual by using HiFi and *** assembled two high-quality haplotypes of the HJ genome(haplotype 1(H1):3.1 Gb,haplotype 2(H2):2.9 Gb).The continuity(H1:contig N50=28.2 Mb,H2:contig N50=25.9 Mb)and completeness(BUSCO:H1=94.9%,H2=93.5%)are substantially better than those of other Chinese genomes,for example,HX1,NH1.0,and *** comparing HJ genome with GRCh38,we reported the mutation landscape of HJ and found that 176 and 213 N-gaps were filled in H1 and H2,*** addition,we detected 12.9 Mb and 13.4 Mb novel sequences containing 246 and 135 protein-coding genes in H1 and H2,*** results demonstrate the advantages of HiFi reads in haplotype-resolved genome assembly and provide two high-quality haplotypes of a potential Chinese genome as a reference for the Chinese Han population.

关键词： Genome assembly HiFi reads Human genome Haplotype-resolved Chinese Han Mutation landscape

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Advanced Real-Time Patient Health Monitoring System

Advanced Real-Time Patient Health Monitoring System

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International Conference on computer and Information technology (ICCIT)

作者： Saiful Islam Mohtasim Billah Richard Victor Biswas Santu Das Department of Computer Science & Engineering Faculty of Science & Technology American International University-Bangladesh (AIUB) Dhaka Bangladesh Department of Electrical & Electronic Engineering Faculty of Engineering American International University-Bangladesh (AIUB) Dhaka Bangladesh

The rapid advancement of technology has brought transformative changes in the field of the healthcare system in recent years. Since they can enhance the quality and accessibility of healthcare services, particularly for patients with chronic conditions or in rural regions, microcontroller-based health monitoring systems have been extensively researched and developed in recent years. This paper presents a system capable of multiple measurements and improved ability of health parameters with a cost-efficient solution with reliability and portability. The proposed system is able to measure the parameters at an accuracy of 97.8% in terms of heart rate, blood pressure, body temperature, and oxygen saturation. The system also proposes continuous monitoring of the patient’s health status by collecting data from sensors attached to the patient’s finger and transmitting it wirelessly to a central database via Blynk where the healthcare provider can monitor the results in real-time and provide immediate feedback.

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A Comparative Study of Energy Graph-Based Fault Detection and Isolation Techniques Applied to a Lignite Plant

SSRN

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SSRN 2023年

作者： Smith, JanHendrik van Schoor, George Uren, Kenneth Richard van Eldik, Martin Worlitz, Frank School of Electrical Electronic and Computer Engineering Faculty of Engineering North-West University South Africa Unit for Energy and Technology Systems Faculty of Engineering North-West University South Africa School of Mechanical Engineering Faculty of Engineering North-West University South Africa Faculty of Electrical Engineering and Computer Science University of Applied Sciences Zittau Görlitz Germany

Energy and exergy distribution in a system holds theoretical meaning across the physical domains of these systems and can therefore convey important information regarding its health. This energy information, however, requires careful analysis and representation to sufficiently convey its meaning. In this paper, a comparative study of three such analysis methods for the purpose of fault detection and fault isolation are discussed. These methods are designated as: 1) distance parameter method, 2) eigenvalue decomposition method and 3) residual method. The study utilises data from a physical lignite plant in Janschwalde, Germany, in combination with simulation data of specific faults in order to compare the sensitivity and robustness of the three methods. This is evaluated with respect to fault detection and isolation when noise and fluctuation in the system’s operating conditions are present at the full load operating point of the system. Each of these methods is an energy graph-based technique that relies on the energy information encapsulated within a node signature matrix, as defined by modern graph theory. The graphs capture the process topology and connectivity showing the causal relationship between the energy variables in a system, making it ideal for FDI applications. © 2023, The Authors. All rights reserved.

关键词： Graph theory

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Thick Film Interdigitated Electrode Graphite and Carbon Nanotube on Flexible Substrate for Hydrogen Gas Detection

Thick Film Interdigitated Electrode Graphite and Carbon Nano...

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2023 IEEE International Conference on Sensors and Nanotechnology, SENNANO 2023

作者： Abu Bakar, Azlinda Nizar Hamidon, Mohd Yaacob, Mohd Hanif Paiman, Suriati Jaafar, Haslina Wan Jusoh, Wan Nursheila Universiti Putra Malaysia Funtional Device Laboratory Institute of Nanoscience and Nanotechnology Selangor Serdang Malaysia Universiti Putra Malaysia Faculty of Engineering Department of Computer and Communication Systems Selangor Serdang Malaysia Universiti Putra Malaysia Faculty of Science Department of Physics Selangor Serdang Malaysia Universiti Putra Malaysia Faculty of Engineering Department of Electrical and Electronic Selangor Serdang Malaysia Universiti Kuala Lumpur Section of Aerospace Malaysians Institute of Aviation Technology Selangor Dengkil Malaysia

ISBN: (纸本)9798350333312

The comparison on the performance of interdigitated electrode (IDE) graphite and carbon nanotube (CNT) using titanium dioxide-multiwall carbon nanotube (TiO2-MWCNT) composite as sensing materials to detect hydrogen gas is presented in this research work. Screen printing technique has been selected to deposited IDE graphite and CNT conductive pastes as the electrode thick film on a flexible substrate, which is continued by firing at 120°C each. TiO2-MWCNT paste was printed as a sensing layer on top of IDE, followed by firing at 350°C. FESEM was used to characterize the morphological analysis of the IDE film. The operating temperature was varied at 27°C, 50°C and 100°C and concentration varied from 100-1000 ppm for gas hydrogen. The gas sensor demonstrated as n-type gas characteristics where the response of the gas sensor produced increased current from the results. The results purpose when the sensor was exposed to hydrogen gas. Therefore, the ability of IDE graphite and CNT as an electrode to harvest the electron from sensing materials were successfully proven. The IDE CNT showed better response compare to IDE graphite, but both electrodes were able to sense 100 - 1000 ppm at the operating temperature of 27°C, 50°C and 100°C. The optimal of operating temperature for IDE graphite is 50°C and IDE CNT is at room temperature for the hydrogen gas detections in this research work. © 2023 IEEE.

关键词： Thick films

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An Architecture of a Single-Event Tolerant D Flip-flop Using Full-Custom Design in 28nm Process

An Architecture of a Single-Event Tolerant D Flip-flop Using...

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International Conference on ASIC

作者： Yuanxin Tian Yuejun Zhang Huihong Zhang Liang Wen Pengjun Wang Zhiyi Li Faculty of Electrical Engineering and Computer Science Ningbo University Ningbo China Department of Electronic Technology China Coast Guard Academy Ningbo China College of Electrical and Electronic Engineering Wenzhou University Wenzhou China

In order to address the radiation-induced effects in the timing units of configurable logic block(CLB), a design scheme for an anti-single event flip-flop based on master-slave D flip-flops has been proposed. This design scheme first optimizes the radiation-hardened structure of the dual-delay chains in SETTOFF and combines it with the functionality of the CLB timing unit to design a flip detection D flip-flop circuit. Then, the full-custom design method is used to complete the schematic and layout design of the circuit. Finally, the designed circuit was simulated using the TSMC 28nm CMOS process parameters in SPECTRE. The simulation results showed that the circuit has correct logical functionality and good transient characteristics. The experimental results demonstrated that the proposed D flip-flop can achieve the basic function of the CLB timing unit. The layout area is approximately 3.36μm 2 , and the power-delay product is about 1.01fJ. The simulation results revealed that the output Q exhibited a glitch with a voltage of approximately 0.3V, which was successfully corrected to the correct logic value.

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Fabric computing: Concepts, opportunities, and challenges

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The Innovation 2022年第6期3卷 67-76页

作者： Min Chen Jia Liu Pan Li Hamid Gharavi Yixue Hao Jingyu Ouyang Jiayu Hu Long Hu Chong Hou Iztok Humar Lei Wei Guang-Zhong Yang Guangming Tao Wuhan National Laboratory for Optoelectronics and School of Computer Science and TechnologyHuazhong University of Science and TechnologyWuhan 430074China National Institute of Standards and Technology(NIST) GaithersburgMD 20899-8920USA School of Optics and Electronic Information Huazhong University of Science and TechnologyWuhan 430074China Faculty of Electrical Engineering University of LjubljanaTrzaska cesta 251000 LjubljanaSlovenia School of Electrical and Electronic Engineering Nanyang Technological UniversitySingapore 639798Singapore Medical Robotics Institute Shanghai Jiao Tong UniversityShanghai 200030China State Key Laboratory of Material Processing and Die&Mould Technology School of Materials Science and EngineeringHuazhong University of Science and TechnologyWuhan 430074China

With the advent of the Internet of Everything,people can easily interact with their environments *** idea of pervasive computing is becoming a reality,but due to the inconvenience of carrying silicon-based entities and a lack of fine-grained sensing capabilities for human-computer interaction,it is difficult to ensure comfort,esthetics,and privacy in smart *** by the rapid developments in intelligent fabric technology in the post-Moore era,we propose a novel computing approach that creates a paradigm shift driven by fabric computing and advocate a new concept of non-chip sensing in living *** discuss the core notion and benefits of fabric computing,including its implementation,challenges,and future research opportunities.

关键词： computing computer smart

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An Exploratory Study of Diverse Models and Datasets for Transfer Learning based Image Classification on Sparse Data

An Exploratory Study of Diverse Models and Datasets for Tran...

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Moratuwa engineering Research Conference (MERCon)

作者： Jathurshan Pathmarasa Udaya Wijenayake Ruchire Eranga Wijesinghe Bhagya Nathali Silva Department of Computer Engineering Faculty of Engineering University of Sri Jayewardenepura Nugegoda Sri Lanka Department of Electrical and Electronic Engineering Faculty of Engineering Sri Lanka Institute of Information Technology Malabe Sri Lanka Center for Excellence in Informatics Electronics & Transmission (CIET) Sri Lanka Institute of Information Technology Malabe Sri Lanka Department of Information Technology Faculty of Computing Sri Lanka Institute of Information Technology Malabe Sri Lanka

ISBN: (数字)9798331529048

ISBN: (纸本)9798331529055

Transfer learning is a powerful technique for image classification, especially when dealing with limited data. However, selection of the best transfer learning approach and model remains challenging, since the strategy is highly influenced by the scenario. This work conducted a thorough analysis of four transfer learning approaches for binary classification, and multiclass classification using four pretrained models i.e. MobileNetV2, MobileNetV3Large, EfficientNetB0, and EfficientNetB5. The test accuracy was measured with respect to the sample size considering the effects of data augmentation and fine tuning. The key finding of the study revealed that data augmentation has improved the test accuracy by up to $11.8 \%$. Moreover, the lightweight models marked a breakthrough by outperforming large scale models’ accuracy for sparse data settings when fine tuning (FT) and data augmentation (DA) are applied appropriately. Hence, this work provides a comprehensive overview on selecting different transfer learning approaches for sparse data classification by exploring diverse models and datasets, while discussing the consequences and challenges for future real-world applications.

关键词： Knowledge engineering Accuracy Transfer learning Optical wavelength conversion Data augmentation Feature extraction Size measurement Data models Tuning Image classification

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Development of a Smart IOT Enabled Arduino Glove Supporting Sign Language Communication

Development of a Smart IOT Enabled Arduino Glove Supporting ...

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International Conference on computer and Information technology (ICCIT)

作者： Muhammad Shahriar Zaman Richard Victor Biswas Department of Computer Science and Engineering Faculty of Science and Technology American International University-Bangladesh (AIUB) Dhaka Bangladesh Department of Electrical and Electronic Engineering Faculty of Engineering American International University-Bangladesh (AIUB) Dhaka Bangladesh

Deafness is an unfortunate issue of our society impairing many people. Around 3 million people in Bangladesh suffer from partial or complete deafness. One key challenge for these individuals is communicating with regular people. Various sign languages are available but very few people are knowledgeable about it. Keeping this issue in consideration this project has been developed. The smart Arduino glove allows the user to express their ideas by translating their fingerspelling as well as the gestures into comprehensible messages. The system also allows identification of common sentences by identifying simple gestures. The suggested system if applied in daily life can bring a positive change in the lives of deaf-mute individuals.

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CARA: A Hybrid Framework Integrating Swarm AI Agents and Knowledge Graphs for Advanced LLM Reasoning

CARA: A Hybrid Framework Integrating Swarm AI Agents and Kno...

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Advancements in Computing (ICAC), International Conference on

作者： Nirodya Pussadeniya Ruchira Wijesinghe Udaya Wijenayake Bhagya Silva Department of Computer Engineering Faculty of Engineering University of Sri Jayewardenepura Nugegoda Sri Lanka Department of Electrical and Electronic Engineering Faculty of Engineering Sri Lanka Institute of Information Technology Malabe Sri Lanka Center for Excellence in Informatics Electronics Transmission (CIET) Sri Lanka Institute of Information Technology Malabe Sri Lanka Department of Information Technology Faculty of Computing Sri Lanka Institute of Information Technology Malabe Sri Lanka

ISBN: (数字)9798331517878

ISBN: (纸本)9798331517885

Language models excel in linguistic processing but often face challenges with complex reasoning tasks that require real-world interaction and multi-step logic. This paper presents the Cognitive Adaptive Reasoning Architecture (CARA), a framework that enhances reasoning by integrating a modular swarm architecture with knowledge graphs (KGs) and specialized agents. These agents, equipped with diverse tools, dynamically adapt to various tasks, actively engaging with real-world data. CARA's continuous memory update cycle ensures each reasoning step is based on up-to-date, contextual KG knowledge, enhancing decision-making. Incorporating human insights further aligns outcomes with nuanced cognition. Experimental results demonstrate CARA's superior performance over larger models, advancing language models' reasoning capabilities for more context-aware, informed decision-making in dynamic environments.

关键词： Adaptation models Adaptive systems Decision making Training data Knowledge graphs Linguistics Cognition Artificial intelligence Standards Context modeling

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Automated Hand Gesture Recognition for Enhancing Sign Language Communication

Automated Hand Gesture Recognition for Enhancing Sign Langua...

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IEEE EMBS Conference on Biomedical engineering and Sciences (IECBES)

作者： Lee Teck Junn Ashvaany Egambaram Vikneswary Jayapal Department of Computer Science Faculty of Information and Communication Technology Universiti Tunku Abdul Rahman Perak Malaysia Department of Electrical and Electronic Engineering Centre for Intelligent Signal & Imaging Research Universiti Teknologi PETRONAS Perak Malaysia Department of Computer & Communication Technology Faculty of Information and Communication Technology Universiti Tunku Abdul Rahman Perak Malaysia

ISBN: (数字)9798350383409

ISBN: (纸本)9798350383416

This paper presents a novel approach to improving communication between individuals with hearing difficulties, with people of normal hearing capacity and unfamiliar with sign language. The work combines advanced technologies, such as artificial intelligence (AI) and computer vision to address the communication barriers faced by this group. Recent advancements in AI have made this possible. By using techniques like deep learning and computer vision, the work aims to develop a model that can turn complex sign language gestures into comprehensible/ interpretable language. Sequential deep learning models, specifically Long Short-Term Memory (LSTM) and Gated Recurrent Units (GRU), are used to recognize sign language gestures using Tensor Flow, with the assistance of MediaPipe Holistic. This application aims to narrow the communication divide between individuals proficient in sign language and those unfamiliar with it. This paper highlights the potential for a beneficial outcome through the fusion of AI and computer vision, especially given the widespread availability of video accessibility on smartphones and the growing influence of AI. The result shows that GRU performs better than LSTM in recognizing the sign language gestures with an average accuracy of 97%.

关键词： Hands Deep learning Sign language computer vision Accuracy Computational modeling Real-time systems Artificial intelligence Long short term memory Smart phones

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