A mold monitoring module for industrial manufacturing management cloud platform

2021 ◽  
Author(s):  
Junchao Wan ◽  
Huaping Zhu
Keyword(s):  
Cloud Platform ◽  
Industrial Manufacturing ◽  
Manufacturing Management ◽  
Monitoring Module

Manufacturing management

1976 ◽  
Vol 55 (11) ◽  
pp. 619 ◽  
Author(s):  
K. Swann
Keyword(s):  
Manufacturing Management

Multimedia system and database simulation based on internet of things and cloud service platform

2020 ◽  
pp. 1-12
Author(s):  
Zhang Caiqian ◽  
Zhang Xincheng
Keyword(s):  
Internet Of Things ◽  
Cloud Service ◽  
Multimedia System ◽  
The Internet ◽  
Multimedia Database ◽  
Cloud Platform ◽  
Service Platform ◽  
Device Management ◽  
Cloud Service Platform ◽  
The Internet Of Things

The existing stand-alone multimedia machines and online multimedia machines in the market have certain deficiencies, so they cannot meet the actual needs. Based on this, this research combines the actual needs to design and implement a multi-media system based on the Internet of Things and cloud service platform. Moreover, through in-depth research on the MQTT protocol, this study proposes a message encryption verification scheme for the MQTT protocol, which can solve the problem of low message security in the Internet of Things communication to a certain extent. In addition, through research on the fusion technology of the Internet of Things and artificial intelligence, this research designs scheme to provide a LightGBM intelligent prediction module interface, MQTT message middleware, device management system, intelligent prediction and push interface for the cloud platform. Finally, this research completes the design and implementation of the cloud platform and tests the function and performance of the built multimedia system database. The research results show that the multimedia database constructed in this paper has good performance.

Remote Heart Beat Monitoring System

2019 ◽  
Vol 7 (1) ◽  
pp. 5-10
Author(s):  
Saman Shahid ◽  
Saima Zafar ◽  
Mansoor Imam ◽  
Muhammad Usman Chishtee ◽  
Haris Ehsan
Keyword(s):  
Heart Diseases ◽  
Cost Effective ◽  
Heart Beat ◽  
The Internet ◽  
Android Application ◽  
Development Environment ◽  
Future Assessment ◽  
Pulse Sensor ◽  
Hospital Visits ◽  
Monitoring Module

There is an increased prevalence of heart diseases in developing countries and continuous monitoring of heart beats is very much important to reduce hospital visits, health costs and complications. The Internet of Things (IoT) equipped with microcontrollers and sensors can give an easy and cost-effective remote health monitoring. We developed a Heart Beat monitoring module based on an android application. The software involved was the Android Application developed using Android Studio, which is the Integrated Development Environment (IDE). This app retrieved the data from the open IoT platform thingspeak.com. A highly sensitive Pulse Sensor was used to measure the heartbeat of the patient automatically. An Arduino Uno microcontroller interfaced with a Wi-Fi module ESP8266 used to transmit pulse reading over the internet using Wi-Fi. The heartbeat was displayed on the LCD of the patient in run-time. The heartbeat in beats per minute (BPM) was plotted against time (minutes). A mounted pulse sensor to the patient had monitored the heartbeat and transmitted it in the form of voltage signal to the microcontroller, which converted it back into a mathematical value. The Arduino transmitted the data onto the thingspeak.com portal, where it was plotted on a graph and the values were stored for future assessment. The user of the app was given a things peak API and the channel number as an access code, through which physician or nurse can accessed the patient’s data. IoT based heartbeat module as an android application can provide a convenient, cost effective and continuous remote measurements for heart patients to help physicians and nurses update. This app can reduce the burden of hospital visits or admissions for elderly patients.

Financial Statement Ratio Analysis to Predict Bankruptcy nn Company Registered in BEI - Jakarta (Altman Z-Score Method and Zmijewski)

2020 ◽  
Vol 3 (3) ◽  
pp. 122
Author(s):  
Andi Silvan
Keyword(s):  
Financial Distress ◽  
Stock Exchange ◽  
Good Condition ◽  
Financial Statement ◽  
Depth Information ◽  
Z Score ◽  
Industrial Manufacturing ◽  
Financial Difficulties ◽  
A Value ◽  
Score Method

AbstractThis study takes the topic of predicting corporate bankruptcies. This research dqlam use traditional methods Altman Z-Score and Zmijewski. The purpose of this study was to obtain in-depth information about predicting bankruptcy of companies that are not necessarily directly to bankruptcy, but there is financial distress.Based on the results of research conducted on the four (4) non industrial manufacturing company listed on the Indonesia Stock Exchange (BEI). Obtaining the value z-score represents the average company are in good condition, which means no financial distress. Acquisition value of x-score has a value of less than 0 (zero) which means that the company is in good condition and is predicted not experiencing financial difficulties. This study led to the conclusion that the Altman Z-Score and Zmijewski method can be used to predict corporate bankruptcy. Keywords: Financial Ratios, Bankruptcy, Company.

ATTITUDE OF LIBRARY PROFESSIONALS TOWARDS ADOPTION OF CLOUD COMPUTING TECHNOLOGY IN VTU AFFILIATED ENGINEERING COLLEGES LIBRARIES

2019 ◽  
pp. 1-4
Author(s):  
C. T. Kantharaja
Keyword(s):  
Cloud Computing ◽  
Academic Libraries ◽  
Technical Skills ◽  
Library Services ◽  
Cloud Platform ◽  
Computing Technology ◽  
Management Software ◽  
Library Management ◽  
The Right ◽  
Library Professionals

Cloud computing technology has signicant role in academic libraries. Most of the library services are available on cloud platform and library software vendors developed their Library Management Software on cloud platform. It is the right time for library professionals to upgrade their technical skills to provide good services to the library stakeholders. This study shows the library services and facilities available on cloud. It is the right time to migrate to cloud

The Research of Measuring Approach and Energy Efficiency for Hadoop Periodic Jobs

2015 ◽  
Vol 8 (1) ◽  
pp. 206-210 ◽  
Author(s):  
Yu Junyang ◽  
Hu Zhigang ◽  
Han Yuanyuan
Keyword(s):  
Energy Efficiency ◽  
Cloud Computing ◽  
Energy Consumption ◽  
Energy Saving ◽  
Energy Estimate ◽  
Cloud Platform ◽  
Periodic Tasks ◽  
Current Consumption ◽  
Reduce Energy Consumption

Current consumption of cloud computing has attracted more and more attention of scholars. The research on Hadoop as a cloud platform and its energy consumption has also received considerable attention from scholars. This paper presents a method to measure the energy consumption of jobs that run on Hadoop, and this method is used to measure the effectiveness of the implementation of periodic tasks on the platform of Hadoop. Combining with the current mainstream of energy estimate formula to conduct further analysis, this paper has reached a conclusion as how to reduce energy consumption of Hadoop by adjusting the split size or using appropriate size of workers (servers). Finally, experiments show the effectiveness of these methods as being energy-saving strategies and verify the feasibility of the methods for the measurement of periodic tasks at the same time.

A Defense Mechanism Based on Improved Allocation Strategy of VMs Co-Resident Attack in Power Cloud Platform

2020 ◽  
Vol 13 ◽  
Author(s):  
Yuancheng Li ◽  
Pan Zhang ◽  
Daoxing Li ◽  
Jing Zeng
Keyword(s):  
Virtual Machine ◽  
Simulation Experiment ◽  
Virtual Machines ◽  
Defense Mechanism ◽  
Security Threats ◽  
Allocation Strategy ◽  
Cloud Platform ◽  
Deployment Strategy ◽  
Dbscan Algorithm ◽  
Maximum Minimum

Background: Cloud platform is widely used in electric power field. Virtual machine co-resident attack is one of the major security threats to the existing power cloud platform. Objective: This paper proposes a mechanism to defend virtual machine co-resident attack on power cloud platform. Method: Our defense mechanism uses the DBSCAN algorithm to classify and output the classification results through the random forest and uses improved virtual machine deployment strategy which combines the advantages of random round robin strategy and maximum/minimum resource strategy to deploy virtual machines. Results: we made a simulation experiment on power cloud platform of State Grid and verified the effectiveness of proposed defense deployment strategy. Conclusion: After the virtual machine deployment strategy is improved, the coverage of the virtual machine is remarkably reduced which proves that our defense mechanism achieves some effect of defending the virtual machine from virtual machine co-resident attack.

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