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检索条件"任意字段=7th International Conference on Computing in Engineering and Technology, ICCET 2022"

共 11084 条记录，以下是531-540 订阅

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Cooperative Relationship Prediction between Scholars in Heterogeneous Academic Network 23

Cooperative Relationship Prediction between Scholars in Hete...

引用

23rd IEEE international conference on High Performance computing and Communications, 7th IEEE international conference on Data Science and Systems, 19th IEEE international conference on Smart City and 7th IEEE international conference on Dependability in Sensor, Cloud and Big Data Systems and Applications, HPCC-DSS-SmartCity-DependSys 2021

作者： Shi, Jia Jin, Hai Xie, Xia National Engineering Research Center for Big Data Technology and System School of Computer Science and Technology Huazhong University of Science and Technology Services Computing Technology and System Lab Cluster and Grid Computing Lab Wuhan China School of Computer Science and Technology Hainan University Haikou China

ISBN: (纸本)9781665494571

the real academic network belongs to a heterogeneous network, therefore, for the link prediction tasks, some information on the network may be lost if only using homogeneous network methods. In order to make good use of the rich semantic information in a heterogeneous network for better predicting the cooperative relationship between scholars, this paper proposes a cooperative relationship prediction (CoRP) model. the CoRP model includes the following three steps. Firstly, a structural feature extraction module is designed based on meta path by using the similarity metric function to measure the meta path similarity between scholars. Secondly, to overcome the defects that the existing methods usually ignore the attribute information on nodes, three attribute feature presentation functions are constructed to fully utilize the attribute information of scholars in the academic network. In the end, a machine learning classifier which combines the structural similarity and attribute similarity is utilized to learn each attribute feature and complete the task of cooperative relationship prediction. the experimental results reveal that compared with the benchmark method, the proposed method has better performance and interpretability with improvement from 3% to 10% of AUC value for the AMiner academic data set. © 2021 IEEE.

关键词： Measurement Smart cities Semantics Machine learning Benchmark testing Predictive models Feature extraction

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Smart Street Lighting Control System Using PWM 7

Smart Street Lighting Control System Using PWM

引用

2023 7th international conference On computing, Communication, Control And Automation, ICCUBEA 2023

作者： Parhad, Om Kumar, Sarthak Pathak, Dhruv Sinha, Asmi Suryawanshi, Renuka School of Computer Engineering and Technology Dr. Vishwanath Karad Mit World Peace University Pune India

ISBN: (纸本)9798350304268

the goal of the IoT-based smart street light system is to conserve energy by decreasing manual labour requirements and electricity waste. the energy that is conserved can be put to a variety of uses, including domestic and commercial ones. An LDR sensor is used in the system to control how the street lights are turned on and off in response to the amount of ambient light. this sensor's output is a relay, and it simply detects light and dark. through the internet, anyone may get up-to-date information about the condition of the street lights, assuring great dependability and long-term stability. the amount of light is adjusted throughout the day using a programmable board. In comparison to the current system, the proposed system performs better. © 2023 IEEE.

关键词： Arduino Intensity LDR Pulse Width Modulation

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An Automated Framework for Hematologists Level Leukemia Detection Using Blood Cell Images 7

An Automated Framework for Hematologists Level Leukemia Dete...

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2023 7th international conference On computing, Communication, Control And Automation, ICCUBEA 2023

作者： Shourie, Poonam Anand, Vatsala Gupta, Sheifali Chitkara University Institute of Engineering and Technology Chitkara University Punjab India

ISBN: (纸本)9798350304268

Leukemia stands a form of cancer that affects the bone marrow besides blood, and it can be difficult to see in its early stages. But cutting-edge machine learning techniques, notably deep learning, have shown potential in powering the diagnosis of leukemia by scrutinizing tiny blood cell pictures. the present research recommends using the EfficientNet design, a cutting-edge deep learning model, to detect leukemia sickness. the model achieves great accuracy and specificity when distinguishing leukemia cells since it was trained using a large collection of blood cell images. the recommended technique might boost the efficacy besides precision of leukemia diagnosis. the accuracy of model is as good as 99.263, providing improved outcomes for patients. © 2023 IEEE.

关键词： cancer cancers efficient net leukemia

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Forecasting the Rate of Crimes Committed Against Women Using Machine Learning Approach and Data Mining Techniques 7

Forecasting the Rate of Crimes Committed Against Women Using...

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2023 7th international conference On computing, Communication, Control And Automation, ICCUBEA 2023

作者： Kumar, Sarthak Parhad, Om Pathak, Dhruv Irlewad, Shivani Parira, Payel Pawar, Rajendra Mit World Peace University Department of Computer Engineering and Technology Pune India

ISBN: (纸本)9798350304268

Prediction of the probability of crime in any region is a serious problem, especially in developing countries. Several factors can influence the crime rate at any location. there have been no effective solutions or dedicated research studies on the increasing crime cases, especially among women. thus, we have trained several machine learning algorithms and a neural network to come up with the best probability prediction model for different crime types. the data used was gathered from 50 districts in Madhya Pradesh, India. the trained models were evaluated based on their accuracy and f1-score in predicting the probability of different types of crimes. © 2023 IEEE.

关键词： Crime Prediction Demographic Features Neural Network Random Forest

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Human Face Detection and Recognition using Artificial Intelligence 7

Human Face Detection and Recognition using Artificial Intell...

引用

7th international conference on Trends in Electronics and Informatics, ICOEI 2023

作者： Varma, Mandapati Siva Sai Krishna Abhishek, S. Dandu, Sujatha Anjali, T. Amrita School of Computing Amrita Vishwa Vidyapeetham Department of Computer Science and Engineering Amritapuri India Malla Reddy College of Engineering and Technology Department of Computer Science and Engineering Hyderabad India

ISBN: (纸本)9798350397284

the method of recognizing and finding a human by their face in an image is called Human Face Detection and Recognition (HFDR). Application of Biometric method in detecting a human's Identity is called as HFD system. HFDR is a verification system designed to determine one's identity. Innovation in science and technology is rapidly achieving the peak level day by day. Artificial Intelligence (AI) and Machine Learning (ML) are the two such innovative inventions that kicked it up a notch and have turned the world to the next phase. this research is intended to detect and recognize faces using HFDR using ML. the consequences of the simulation experiment clearly show that the HFDR using ML method is best known for its accuracy in HFDR compared to the other algorithms used for Human Face Detection (HFD). the exactness of the proposed HFDR using ML method is illustrated through the experimental outcomes. © 2023 IEEE.

关键词： Face recognition

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IOT Based Smart Food Dehydration and Grinder System for Agricultural Usage 7

IOT Based Smart Food Dehydration and Grinder System for Agri...

引用

2023 7th international conference On computing, Communication, Control And Automation, ICCUBEA 2023

作者： Chinchmalatpure, Sheela Pingle, Jayesh Sarpe, Sakshi Pembarti, Sejal Saraf, Yukta Vishwakarma Institute of Technology Department of Multidisciplinary Engineering Pune India

ISBN: (纸本)9798350304268

India plays an important role in agriculture sector which is the primary source of livelihood about 58% of country's population where dehydration of fruits and vegetables are also considered as a beneficial occupation, Dehydration is a process which removes the moisture content or humidity for increasing the shelf life of fruits and vegetables. this system is an automated process which can be controlled through mobile devices. the system consists of mainly two methods dehydrator and grinder. Once the food is dehydrated, it will produce its greasepaint. the proposed strategy is based on Wi-Fi technology for controlling the grinder system which can be accomplished by Wi-Fi node Mcu (esp8266). the mobile device sends the serial data to node Mcu, it will process the input data according to the program uploaded and accordingly produce the output. © 2023 IEEE.

关键词： Dehydration Exhaust fan Node Mcu Temperature thermostat Sensor Wi-Fi

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IoT based Food Surveillance System using Cloud 7

IoT based Food Surveillance System using Cloud

引用

7th international conference on Intelligent computing and Control Systems, ICICCS 2023

作者： Stewart Kirubakaran, S. Sneha, Adina Yalla, Keyuri Sherin, L.Christina Roshni thanka, M. Bhavani, T.V.N. Karunya Institute of Technology and Sciences Department of Computer Science and Engineering TamilNadu Coimbatore India

ISBN: (纸本)9798350397253

Food spoilage is one of the major causes of food wastage. During any stage of food supply chain food gets spoiled. the food being prepared on a large scale must be monitored to provide good quality food to the end user. Food monitoring can be done with the help of various sensors such as temperature, humidity, and gas sensors. the collected data is then sent to the cloud platform, where the data is compared against existing threshold values. the food spoilage determination process takes place here. If the food is found to be spoiled, then, using If this then that mechanism which generates an alert mail that is sent to the user. the mail contains the details of food spoilage determination. © 2023 IEEE.

关键词： Internet of things

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Performance Analysis of Turbo Codes for 5G Massive Machine-Type Communication(mMTC) 23

Performance Analysis of Turbo Codes for 5G Massive Machine-T...

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作者： Adamu, Mohammed Jajere Qiang, Li Zakariyya, Rabiu Sale Jabire, Adamu Halilu Kawuwa, Halima Bello Saminu, Sani Tianjin University School of Microelectronics Tianjin China Department of Electronics Science and Technology Hefei China Taraba State Umiversity Department of Electrical and Electronics Taraba Nigeria School of Precision Instrument and Opto-electronics Engineering Tianjin University Tianjin China University of Ilorin Department of Biomedical Engineering Ilorin Nigeria

ISBN: (纸本)9781665494571

In our present and future wireless communication systems, high-performance codes with low design complexity are required for optimum coding gain. In this paper, an efficient Long Term Evolution (LTE) based Turbo decoding algorithm is proposed. it is derived by remodeling the conventional maximum a posteriori probability (MAP) decoder. the proposed scheme aims to reduce the complexity of actualizing the conventional MAP Turbo decoder in the newly mMTC PHY layer features. the overall system performance is analyzed in terms of bit error rate (BER). © 2021 IEEE.

关键词： Maximum a posteriori estimation Wireless communication Analytical models System performance Bit error rate Turbo codes Mathematical models

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Multi-objective Optimization Regression Verification for Multi-core Cache Coherence Protocol 23

Multi-objective Optimization Regression Verification for Mul...

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作者： Luo, Li Zhang, Ying He, Hongjun Wang, Lei Xun, Chanzqing Pan, Guoteng Tie, Junbo Hu, Huili College of Computer National University of Defense Technology Changsha China

ISBN: (纸本)9781665494571

With the development of multi-core and many-core processor architecture, cache consistency protocols become increasingly complex, verification is also becoming more challenging. Regression verification runs through the whole process of chip design and is an indispensable part of chip design and verification. It takes a lot of time and resources to execute a gigantic set of test cases. In this paper, a test case priority ranking method based on multi-objective optimization is proposed, which is applied to the regression verification for RTL design of an original multi-core processor cache coherence protocol. Based on the detection rate of defect prediction and function coverage rate as the optimization objectives, the test case priority is ranked. the experimental results show that the proposed method can improve the effectiveness of simulation verification, reduce time and cost, find defects as soon as possible, improve the reliability of the chip, is of great theoretical significance and of engineering practical value. © 2021 IEEE.

关键词： Protocols Costs Multicore processing Smart cities Coherence Reliability engineering Complexity theory

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Modified Firefly algorithm for Optimal Test Case Selection 7

Modified Firefly algorithm for Optimal Test Case Selection

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7th international conference on computing Methodologies and Communication, ICCMC 2023

作者： Harris, Preethi Information Technology Sri Ramakrishna Engineering College Coimbatore India

ISBN: (纸本)9781665464086

the use of software is ubiquitous in all domains, thereby ascertaining that software testing is vital in the product development life cycle. At the outset, system performance with negligible faults in a software becomes the key aspect during the testing activity. Literature reveals that metaheuristic approaches optimize a problem by iterating, in order to improve the solution space with few or no assumptions. With research revealing that Firefly Algorithm uses swarm intelligence based approach, the proposed work focuses on selecting the test cases representing the test paths generated using Control Flow Graph. the test cases based on the brightness of the Fireflies as fitness function, including the ones at the nearest hop are selected to thereby construct an optimized test suite for three different case studies under experimentation. this work is then compared with the Artificial Bee Colony algorithm where the fitness function is the nectar amount at the closest hop. © 2023 IEEE.

关键词： Software testing

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