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thURSDAY: A Web Platform to Support AutoML 9

THURSDAY: A Web Platform to Support AutoML

引用

9th ACIS international Virtual conference on Applied Computing and Information Technology, ACIT 2022

作者： Carthen, Chase Lewis, Christopher Le, Vinh Tavakkoli, Alireza Harris, Frederick Dascalu, Sergiu Computer Science & Engineering University of Nevada Reno United States

ISBN: (纸本)9781450397605

thURSDAY is a web platform that aids users in building machine learning models by providing easily accessible tools to either create models manually, or through the use of automated machine learning (AutoML) libraries like AutoKeras. As part of thURSDAY's key innovations, users are given the opportunity to configure and run multiple machine learning models. the results of these model executions can then be compared with built-in performance metrics. Finally, thURSDAY allows users to analyze hyperparameter changes, as well as the changes created by AutoML libraries, in order to provide a vital tool that aids in the revision of existing models. To meet the high volume demands of machine learning, thURDAY adopted a microservice-based design pattern that supports containerization, orchestration, and scalabability. In this paper, the design, implementation, and impact of the thURSDAY system is explored in detail. In order to evaluate the capability of thURSDAY, its core functionality is compared against similar platforms that provide machine learning support. © 2022 ACM.

关键词： Libraries

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Performance Analysis of Kubernetes Job Scheduling Model Based on Queuing theory

Performance Analysis of Kubernetes Job Scheduling Model Base...

引用

Sensors, Electronics and computer Engineering (ICSECE), IEEE international conference on

作者： Weibo Pan Sheng Li Fei Li Jun Zhang Chao Fang The 9th Research Laboratory Wuhan Second Ship Design and Research Institute Wuhan China Quality Management Department Wuhan Second Ship Design and Research Institute Wuhan China The 2th Research Laboratory Wuhan Second Ship Design and Research Institute Wuhan China

ISBN: (数字)9798350373646

ISBN: (纸本)9798350373653

Kubernetes is a distributed system infrastructure developed by Apache Foundation, which has become the key platform to process big data and has gotten more and more supports. For recognizing the huge potential of Kubernetes, while using the existing Kubernetes platform, more and more users also conduct performance analysis and test for Kubernetes platform. this paper analyzes the performance of job scheduling models under Kubernetes platform, using analytical method of queuing theory. there have been three existing scheduling algorithms under Kubernetes frame. they are FIFO, Capacity Scheduler and Fair Scheduler respectively. We establish appropriate model for the three algorithms based on queuing theory and analyze the performance. It is concluded that the performance of the system under M/M/S job scheduling model is better compared with existing M/M/1 job scheduling model.

关键词： Analytical models Scheduling algorithms Computational modeling Big Data Scheduling Capacitive sensors Performance analysis Sensors Queueing analysis

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Approximation Algorithms for Constructing Spanning $K-\text{trees}$ Using Variable-Sized Materials

Approximation Algorithms for Constructing Spanning $K-\text{...

引用

international conference on computers, Communications, and Systems (ICCCS)

作者： Kehong Wang Computer and Information Engineering College Guizhou University of Commerce Guiyang Guizhou China

ISBN: (数字)9798350350210

ISBN: (纸本)9798350350227

In this paper, we present a new combinatorial optimization problem of constructing spanning $K-\mathbf{trees}$ using variable-sized materials by combining the minimum spanning $K-\mathbf{tree}$ problem and the variable-sized bin packing problem. the goal of the obtained problem is to select a subset of edges that constitutes a feasible solution of the minimum-cost $K-\mathbf{tree}$ problem, and to construct all edges of the spanning $K-\mathbf{tree}$ with some pieces of distinct types of materials, so that the total cost of constructing the spanning $K-\mathbf{tree}$ is minimized, where the total cost includes the cost of purchasing materials as well as the cost of constructing all edges of the spanning $K-\mathbf{tree}$ . We design an asymptotic $\fracthth$ -approximation algorithm and an asymptotic polynomial time approximation scheme for this combination problem.

关键词： Costs Communication systems Approximation algorithms Polynomials Optimization

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design of Handheld HMI for Embedded CNC Engraving Machine

Design of Handheld HMI for Embedded CNC Engraving Machine

引用

Electronic Technology and Information Science (ICETIS), international conference on

作者： Lihong Sun Xujie Hou Chang Wang Yonghui Xie School of mechanical and electrical engineering Weifang vocational college Weifang China

ISBN: (数字)9798350388343

ISBN: (纸本)9798350388350

In order to adapt to the development of intelligent control system for intelligent, miniaturization and specialization, it developed an embedded CNC engraving machine hand held HMI system based on ARM architecture and Linux operating system. the system consists of S3C2440 core board, ZLG7290 board, LCD keyboard circuit, memory circuit, communication module, input module and so on. Tailoring and porting the Linux3.4.2 kernel, and applying the S3C2440 patch, the man-machine interface of the NC engraving machine based on Linux is developed to realize the human-computer interaction. the experiment shows that the embedded CNC system has good real-time performance and strong function, and it can meet the processing requirements of the embedded CNC system HMI.

关键词： Human computer interaction Linux System performance Process control Production Programming Hardware

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An Ensemble Deep Learning Model for Diabetic Retinopathy Identification

An Ensemble Deep Learning Model for Diabetic Retinopathy Ide...

引用

international conference on Smart Structures and Systems (ICSSS)

作者： Mohammad Manzoor Hussain P. Shanmugam K. Moorthi U. Sakthivelu A. Rajasekar R. Naresh Kumar Department of Computer Science and Engineering B V Raju Institute of Technology Medak Telangana India Department Computer Science and Engineering Rajalakshmi Engineering College Chennai India Department Electronics and Communication Engineering Sairam Engineering College Chennai India Department of Networking and Communications School of Computing SRM Institute of Science and Technology Kattankulathur Tamilnadu India Department of Artificial Intelligence and Data Science Sri Sairam Institute of Technology Chennai India

Diabetic Retinopathy (DR) is an eye disease that can potentially cause significant injury in those diagnosed with diabetes. the condition arises due to issues with blood circulation to the retina, the delicate tissue in the posterior part of the eye. DR is recognized as the leading factor contributing to visual impairment among those affected by diabetes. However, timely identification and intervention might mitigate the occurrence of this condition. Conversely, the timely identification of DR poses challenges, while the diagnostic process can be laborious and time-intensive. the automated detection of DR necessitates categorizing colour retinal fundus pictures. this article presents a computer-aided diagnostic strategy that utilizes Deep Learning (DL) algorithms. In order to classify retinal fundus pictures, this study employed a combination of DL models, specifically ResNet50 and Inception V3. the studies are being conducted on the DIARETDB1 dataset. An analysis is conducted to compare the results of the suggested methodology. the comparison study results show that the proposed approach has more significant accuracy levels than the other methods. A high degree of accuracy, that is, 98.37%, has been attained by utilising the proposed techniques.

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Biocompatibility Assessment of Wearable C/TPU/Tegaderm Strain Sensors

Biocompatibility Assessment of Wearable C/TPU/Tegaderm Strai...

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international conference on computer and Communication Engineering, ICCCE

作者： Nur Nazihah Abu Hassan Zahri Anis Nurashikin Nordin Ahmad Fairuzabadi Mohd Mansor Rosminazuin Ab Rahim Aliza Aini Md Ralib Muhammad Irsyad Suhaimi Lim Lai Ming Department of Electrical & Computer Engineering Kulliyyah of Engineering IIUM Kuala Lumpur Malaysia Jabil Customer Solutions Center (JCSC) 6375 San Ignacio Ave San Jose CA USA Jabil Circuit Sdn. Bhd Bayan Lepas Industrial Park Phase 4 Penang Malaysia

the rapid advancement of wearable technology has sparked significant interest in developing innovative sensors that can seamlessly integrate with the human body. Strain sensors have been widely used in wearable devices for human motion detection. the choice of materials for the substrate and electrodes of the strain sensors plays a crucial role in determining their biocompatibility. Existing wearable strain sensors commonly utilize polymeric films and planar structures, leading to restricted airflow in the area of attachment. Consequently, this limited ventilation can potentially elevate the risk of skin irritation, and bacterial infections, and cause discomfort for the users. In this paper, a biocompatible strain sensor for wearable technology is presented. the strain sensor design is discussed and fabricated using the printing technique. the biocompatibility of the sensor is assessed by conducting cell morphology and cell viability analysis. the finding shows that the C/TPU/Tegaderm strain sensor is noncytotoxic and highly biocompatible after being exposed to HFF-1 cells. these biocompatible sensors are promising for safe use on human skin.

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Park with Ease: Evaluating Usability to design Intuitive Interfaces for Car Parking Applications

Park with Ease: Evaluating Usability to Design Intuitive Int...

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IEEE international WIE conference on Electrical and computer Engineering (WIECON-ECE)

作者： Anika Ashraf Zinia Sultana Iyolita Islam Amrin Akhter Pinky Sabrina Afrin Toma Afrina Zinia Muhammad Nazrul Islam Computer Science and Engineering Department Military Institute of Science and Technology Dhaka Bangladesh

With a smartphone app or web interface, users with different demographic profiles may book and pay for parking spaces, cutting down on the time and stress involved in locating a place. Hence, such parking systems should be usable and intuitive to end users. therefore, this research aims to evaluate the usability of existing car parking applications and to propose an intuitive and usable car parking application. To attain these objectives, three smart car parking mobile applications (Parking Koi, ParkWhiz, and Spothero) were selected and evaluated through heuristic evaluation and a user study. the studies revealed several usability problems such as lack of feedback, instructions, flexibility and adaptability. According to the severity of issues, the Park Whiz application encountered the least number of issues in total, while the Spothero program experienced the highest number of problems. Comparing with Parking Koi and Spothero, Parkwhiz's average level of severity is substantially higher. the user study revealed that the three car parking applications' interfaces are poorly designed and provided the suggestions for improvement to enhance user attention. Finally, a prototype of a car parking application with an intuitive UIs is proposed to address the revealed usability problems.

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Research on design of Pile Foundation Considering Superstructure Synergy 9

Research on Design of Pile Foundation Considering Superstruc...

引用

9th international conference on Advances in Machinery, Materials Science and Engineering Applications, MMSE 2023

作者： Xiao, Qingfeng Shen, Lingshan Peng, Yingying Huang, Yi Chengdu Engineering Corporation Limited Power China Chengdu611100 China China Southwest Geotechnical Investigation & Design Institute Corporation Limited Chengdu610052 China Institute of Optics and Electronics Chinese Academy of Sciences Chengdu610207 China Sichuan Urban Underground Space Survey Design and Construction Technology Engineering Laboratory Chengdu611100 China

ISBN: (纸本)9781643684383

In the urban construction of high-rise buildings, pile raft foundation is widely used nowadays. Based on the empirical formula of Chinese design codes and the related theory of computer finite element, this paper conducts a general study on the calculation of mono-pile bearing capacity of pile raft foundation, established a numerical model to calculate the interaction between pile raft foundation and superstructure, considering the internal force and settlement deformation of pile raft foundation under the superstructure load and shield tunnel construction steps. In order to ensure the stability of large structures under complex conditions, the ultimate vertical load-bearing capacity of individual piles is calculated at different locations under the superstructure foundation. through the analysis of the settlement and internal force change curves of the pile foundation under the completed working conditions, the results show that the response of each index tended to be stable, verifying the reliability of the structure and the safety of the shield construction. simultaneously, for the empirical formula of bearing capacity calculation of pile raft slab foundation, the correction coefficient of large diameter size effect is proposed in the Chinese code, and this empirical parameter can provide reference for bearing capacity calculation of pile raft foundation in the preliminary design of this kind of project in the future. © 2023 the Authors.

关键词： Pile foundations

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OWFQ: Reducing Packet Drops for Approximate Weighted Fair Queueing with Calendar Queues

OWFQ: Reducing Packet Drops for Approximate Weighted Fair Qu...

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international conference on computer and Communications (ICCC)

作者： Xin Yu Wei Chen Ye Tian School of Computer Science and Technology University of Science and Technology of China Hefei China

Weighted fair queueing (WFQ) is a router mechanism that can achieve customized bandwidth allocation and flow isolation in data centers as well as other high-speed networks today. However, it’s hard to faithfully implement the original WFQ algorithm in high-speed networks due to the high complexity such as the need for sorting packets at line rate. therefore, many approximate WFQ packet schedulers have been proposed as a substitute, such as PCQ, a packet scheduler that uses calendar queues. Unfortunately, although PCQ successfully achieved fairness among flows without such complex hardware requirements, it introduced a new problem that the packet drop rate is significantly increased when compared with ideal WFQ algorithm as a result of its implementation mechanism and approximation cost. As we all know, packet drop is a common but important problem. High drop rate not only affects bandwidth utilization but also has a negative effect on the QoS (quality of service) of latency-sensitive services. In this paper, we design a new approximate WFQ scheduling algorithm with calendar queues named opportunistic weighted fair queueing (OWFQ). OWFQ is designed to reduce packet drops caused by the approximation cost of calendar queues. We conduct simulations on an incast network with one switch to measure drop rates of different algorithms. the results show that OWFQ significantly decreases the drop rate when compared with PCQ and thus improves bandwidth utilization.

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LeaderKV: Improving Read Performance of KV Stores via Learned Index and Decoupled KV Table

LeaderKV: Improving Read Performance of KV Stores via Learne...

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international conference on Data Engineering

作者： Yi Wang Jianan Yuan Shangyu Wu Huan Liu Jiaxian Chen Chenlin Ma Jianbin Qin College of Computer Science and Software Engineering Shenzhen University Department of Computer Science City University of Hong Kong

ISBN: (数字)9798350317152

ISBN: (纸本)9798350317169

Log-structured merge-tree (LSM-tree) is a storage architecture widely used in key-value (KV) stores. To enhance the read efficiency of LSM-tree, recent works utilize the learned index to learn the mapping between keys and locations. However, in existing learned-index-aided KV stores, inefficient design of the learned index and disk access significantly impact the read performance. How to design a learned KV store to improve index efficiency and minimize disk access remains a critical problem. this paper presents LeaderKV, a read-optimized LSM-tree-based KV store. LeaderKV employs decoupled KV tables (DK-Table) and efficient learned indexes for data retrieval. DKTables are storage files in Leader Kvbecause they avoid reading irrelevant data in collaboration with learned indexes during queries. A learned index called Leader is proposed to accelerate data retrieval within DKTable. Leader is composed of precise models and approximate models. A redirect mechanism is designed to reduce the cost of mispredictions in Leader. We integrate DKTable and Leader into LeaderKV and demonstrate its effectiveness using a variety of datasets and workloads. Experimental results show that LeaderKV significantly improves the read performance compared to representative schemes.

关键词： Training Lead acid batteries Costs graphics processing units Collaboration Bandwidth Data engineering

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