scholarly journals Development of Incubator Analyzer Using Personal Computer Equiped With Measurement Certificate

2020 ◽  
Vol 2 (2) ◽  
pp. 74-79
Author(s):  
Laily Nurrohmah ◽  
Dwi Herry Andayani ◽  
Andjar Pudji
Keyword(s):  
Data Processing ◽  
Data Storage ◽  
Personal Computer ◽  
Medical Devices ◽  
Normal Limits ◽  
Premature Babies ◽  
Data Processor ◽  
Calibration Device ◽  
Airflow Sensor ◽  
Temperature Noise

Baby incubators are used for premature babies where babies are born prematurely. To ensure the accuracy of medical devices, periodic tests and controls need to be carried out aimed at reducing the risk of measurement. The baby incubator can be tested with a calibration device which is a device to calibrate temperature, noise, humidity, and airflow so that conditions remain stable and within normal limits. The purpose of this study was the development of a PC (Personal Computer) performing Incubator Analyzer with noise and airflow parameters. This type of research uses after only design. The standard incubator analyzer is not equipped with a PC and data processing via Excel, so the researchers created an Incubator Analyzer device that has four parameters to measure temperature, noise, humidity, and airflow. Using the Atmega328 Microcontroller as a data processor, equipped with sending data via Bluetooth HC-05 with data storage and output results will be displayed on a PC. Noise parameters using the Analog Sound Sensor V2 sensor and have the biggest error at 37oC setting temperature that is equal to 0.17%. While the airflow parameter uses an airflow sensor with type D6F-V3A01 and has the biggest error that is 0.5% at a temperature setting of 36oC and 37oC. The use of displays on personal computers and data processing using Excel, allows users to monitor calibration and data processing. The feasibility of this device is proven. Therefire, this design can be used for baby incubator calibration.

scholarly journals Incubator Analyzer Using Bluetooth Android Display (Humidity & Air Flow)

2020 ◽  
Vol 1 (2) ◽  
pp. 71-77
Author(s):  
Vina Nadhirotul Azkiyak ◽  
Syaifudin Syaifudin ◽  
Dyah Titisari
Keyword(s):  
Water Flow ◽  
Data Storage ◽  
Data Transmission ◽  
Air Flow ◽  
Normal Limits ◽  
Lcd Display ◽  
Data Processor ◽  
Ultrasound Sensor ◽  
Temperature Noise

Abstract— Incubator Analyzer is a calibrator used to calibrate incubator temperature, mattress temperature, noise, humidity and airflow so that conditions in the baby incubator environment remain stable and within normal limits. The purpose of this study is to develop a system for sending data to android and data storage. "Incubator Analyzer Using Bluetooth Appear Android" has four parameters for measuring temperature, noise, humidity, and water flow. Using the Atmega328 microcontroller as a data processor, and the output results will be displayed on the LCD display and equipped with data transmission via bluetooth HC-05 displayed to Android with data storage. The moisture parameter detects humidity quite well where the biggest error is obtained at 1.28% DHT-22, the Ultrasound Sensor HC SR-04 can detect Air Flow with an error of 311.66% as measured by a comparison device. Incubator Design This analyzer is made portable to calibrate baby incubator tools.

scholarly journals Water Bath Calibration Device with Data Storage Using Six Thermocouple Sensor

2020 ◽  
Vol 2 (2) ◽  
pp. 40-47
Author(s):  
Yanti Kusumawardani ◽  
Endang Dian Setioningsih ◽  
Dyah Titisari
Keyword(s):  
Data Storage ◽  
Personal Computer ◽  
Temperature Stability ◽  
Water Bath ◽  
Dust Particles ◽  
Calibration Data ◽  
Test Results ◽  
Calibration Device ◽  
Digital Measurements ◽  
Calibration Tool

Uneven distribution of temperature in the chamber water bath can cause the temperature conditions in the chamber are not the same. Temperature, humidity, atmospheric pressure, and dust particles are the main factors which adversely affect the accuracy of water bath’s temperature. Therefore, the purpose of this study is to design a calibration device for water bath with number of channel 6. In this study the system can detect temperatures at each chamber point. The K-type Thermocouple sensor is used to detect the temperature at each chamber point with the help of the MAX6675 module as a signal conditioning amplifier. The sensor readings will be displayed on a Personal Computer using a USB cable, the sensor readings can be stored on a Personal Computer in the form of a TXT so that data can be reprocessed using Microsoft Excel for further calibration purposes. This study aims to facilitate the calibration process and the processing of calibration data. The results of digital measurements obtained a temperature error value of 40 ° C channel 1 1,4 %, channel 2 1.8%, channel 3 0.4%, channel 4 0.2%, channel 5 0.2% and channel 6 0.2%.Temperature 50 ° C channel 1 2.25%, channel 22.26%, channel 3 2.00%, channel 4 2.44%, channel 5 2% and channel 6 1.6%. S.uhu 60 ° C channel 1 0.3%, channel 20.6%, channel 3 0.5%, channel 4 1.5%, channel 5 2% and channel 6 1.8%. Based on the test results, this module has the lowest error of 0.2% and the highest error of 2.44%. The results of this research can be implemented as a Water Bath calibration tool to maintain the temperature stability of the instrument

scholarly journals Neuro-Inspired Signal Processing in Ferromagnetic Nanofibers

Biomimetics ◽  
2021 ◽  
Vol 6 (2) ◽  
pp. 32
Author(s):  
Tomasz Blachowicz ◽  
Jacek Grzybowski ◽  
Pawel Steblinski ◽  
Andrea Ehrmann
Keyword(s):  
Data Processing ◽  
Data Storage ◽  
Domain Walls ◽  
Data Transfer ◽  
Synaptic Activity ◽  
Neuromorphic Computing ◽  
Rotating Magnetic Fields ◽  
Micromagnetic Simulations ◽  
Energy Consuming ◽  
Stochastic Data

Computers nowadays have different components for data storage and data processing, making data transfer between these units a bottleneck for computing speed. Therefore, so-called cognitive (or neuromorphic) computing approaches try combining both these tasks, as is done in the human brain, to make computing faster and less energy-consuming. One possible method to prepare new hardware solutions for neuromorphic computing is given by nanofiber networks as they can be prepared by diverse methods, from lithography to electrospinning. Here, we show results of micromagnetic simulations of three coupled semicircle fibers in which domain walls are excited by rotating magnetic fields (inputs), leading to different output signals that can be used for stochastic data processing, mimicking biological synaptic activity and thus being suitable as artificial synapses in artificial neural networks.

scholarly journals EasyIDP: A Python Package for Intermediate Data Processing in UAV-Based Plant Phenotyping

2021 ◽  
Vol 13 (13) ◽  
pp. 2622
Author(s):  
Haozhou Wang ◽  
Yulin Duan ◽  
Yun Shi ◽  
Yoichiro Kato ◽  
Seish Ninomiya ◽  
...  
Keyword(s):  
Data Processing ◽  
Plant Phenotyping ◽  
Phenotypic Traits ◽  
Data Annotation ◽  
Intermediate Data ◽  
Reconstruction Quality ◽  
Open Source Software Package ◽  
Machine Learning Applications ◽  
Data Processor ◽  
Uav Images

Unmanned aerial vehicle (UAV) and structure from motion (SfM) photogrammetry techniques are widely used for field-based, high-throughput plant phenotyping nowadays, but some of the intermediate processes throughout the workflow remain manual. For example, geographic information system (GIS) software is used to manually assess the 2D/3D field reconstruction quality and cropping region of interests (ROIs) from the whole field. In addition, extracting phenotypic traits from raw UAV images is more competitive than directly from the digital orthomosaic (DOM). Currently, no easy-to-use tools are available to implement previous tasks for commonly used commercial SfM software, such as Pix4D and Agisoft Metashape. Hence, an open source software package called easy intermediate data processor (EasyIDP; MIT license) was developed to decrease the workload in intermediate data processing mentioned above. The functions of the proposed package include 1) an ROI cropping module, assisting in reconstruction quality assessment and cropping ROIs from the whole field, and 2) an ROI reversing module, projecting ROIs to relative raw images. The result showed that both cropping and reversing modules work as expected. Moreover, the effects of ROI height selection and reversed ROI position on raw images to reverse calculation were discussed. This tool shows great potential for decreasing workload in data annotation for machine learning applications.

scholarly journals PERANCANGAN SISTEM PENGOLAHAN DATA JEMAAT BERBASIS WEB PADA GEREJA GKPI KOTA JAMBI

2018 ◽  
Vol 1 (2) ◽  
pp. 14-24
Author(s):  
Dame Christine Sagala ◽  
Ali Sadikin ◽  
Beni Irawan
Keyword(s):  
Data Processing ◽  
Data Storage ◽  
Processing System ◽  
Testing System ◽  
Unit Testing ◽  
Sequential Approach ◽  
Web Based ◽  
Worship Services ◽  
Conducting Research ◽  
Microsoft Office

The data processing systems is a very necessary way to manipulate a data into useful information. The system makes data storage, adding, changing, scheduling to reporting well integrated, so that it can help parts to exchange information and make decisions quickly. The problems faced by GKPI Pal Merah Jambi are currently still using Microsoft Office Word and in disseminating information such as worship schedules, church activities and other worship routines through paper and wall-based worship services. To print worship and report reports requires substantial operational funds, in addition to data collection and storage there are still deficiencies including recording data on the book, difficulty in processing large amounts of data and stored in only one special place that is passive. Based on the above problems, the author is interested in conducting research with the title Designing Data Processing Systems for Web-Based Churches in the GKPI Pal Merah Church in Jambi. The purpose of this study is to design and produce a data processing system for the church. Using this system can facilitate data processing in the GKPI Pal Merah Jambi Church. This study uses a waterfall development method, a method that provides a systematic and sequential approach to system needs analysis, design, implementation and unit testing, system testing and care. Applications built using the web with MySQL DBMS database, PHP programming language and Laravel.

scholarly journals Using Hadoop Technology to Overcome Big Data Problems by Choosing Proposed Cost-efficient Scheduler Algorithm for Heterogeneous Hadoop System (BD3)

2020 ◽  
pp. 58-84
Author(s):  
Abou_el_ela Abdou Hussein
Keyword(s):  
Big Data ◽  
Data Processing ◽  
Data Storage ◽  
Database Management System ◽  
Data Sets ◽  
Complex Data ◽  
Daily Data ◽  
Complex Data Sets ◽  
Cost Efficient ◽  
Hadoop System

Day by day advanced web technologies have led to tremendous growth amount of daily data generated volumes. This mountain of huge and spread data sets leads to phenomenon that called big data which is a collection of massive, heterogeneous, unstructured, enormous and complex data sets. Big Data life cycle could be represented as, Collecting (capture), storing, distribute, manipulating, interpreting, analyzing, investigate and visualizing big data. Traditional techniques as Relational Database Management System (RDBMS) couldn’t handle big data because it has its own limitations, so Advancement in computing architecture is required to handle both the data storage requisites and the weighty processing needed to analyze huge volumes and variety of data economically. There are many technologies manipulating a big data, one of them is hadoop. Hadoop could be understand as an open source spread data processing that is one of the prominent and well known solutions to overcome handling big data problem. Apache Hadoop was based on Google File System and Map Reduce programming paradigm. Through this paper we dived to search for all big data characteristics starting from first three V's that have been extended during time through researches to be more than fifty six V's and making comparisons between researchers to reach to best representation and the precise clarification of all big data V’s characteristics. We highlight the challenges that face big data processing and how to overcome these challenges using Hadoop and its use in processing big data sets as a solution for resolving various problems in a distributed cloud based environment. This paper mainly focuses on different components of hadoop like Hive, Pig, and Hbase, etc. Also we institutes absolute description of Hadoop Pros and cons and improvements to face hadoop problems by choosing proposed Cost-efficient Scheduler Algorithm for heterogeneous Hadoop system.

scholarly journals RANCANG BAGUN SISTEM INFORMASI AGENDA KERJA UNTUK ANGGOTA KEPOLISIAN BERBASIS KINERJA MENGGUNAKAN METODE BERORIENTASI OBJEK

2021 ◽  
Vol 14 (2) ◽  
pp. 181-189
Author(s):  
Edy Siswanto ◽  
Sugiarto Sugiarto
Keyword(s):  
Data Processing ◽  
Data Storage ◽  
Data Retrieval ◽  
Integrated System ◽  
The Body ◽  
Police Chief ◽  
Activity Data ◽  
Public Servant ◽  
The Law ◽  
The Republic

Within the body of the National Police, the Polsekta / Polsek have an important role in protecting, nurturing, serving and enforcing the law in the Tegowanu Police area community. Therefore, the Tegowanu Police are required to be able to serve the community where one of the main tasks of the Republic of Indonesia Police is as a public servant. As one of the law enforcement officers, the National The old work agenda system still uses manual methods and takes a lot of time and with this system will slow down the performance of Polsek members. Documentation of activities carried out by the Tegowanu Police Officer cannot be seen by the police chief and members, because photo documentation is only stored on the officer's computer. Another problem is that there is no data storage for community activity data and activity schedules, because there is no storage in the database so that data processing has not been well integrated. By designing a Performance-based Activity information system using the Object Oriented Method at the Tegowanu Police, Resort Grobogan is expected to help data processing so that it is more well integrated and the reporting process and data retrieval are faster if data is needed at any time and create an integrated system with the database. The information that will be built can speed up the process of processing and sending information and activities of the Tegowanu Police to the head of the Sector Police. 

scholarly journals Data processing for flow injection analysis using personal computer of MSX standard system.

1987 ◽  
Vol 3 (5) ◽  
pp. 467-468 ◽  
Author(s):  
Daisuke YOSHIZAWA ◽  
Masako TOMODA ◽  
Kazuhide UCHIDA ◽  
Kazuaki FUKUSHIMA ◽  
Shin-ichi SAITO
Keyword(s):  
Data Processing ◽  
Personal Computer ◽  
Flow Injection ◽  
Flow Injection Analysis ◽  
Standard System

NoSQL Databases

2014 ◽  
pp. 186-215 ◽  
Author(s):  
Ganesh Chandra Deka
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Data Processing ◽  
Open Source ◽  
Data Storage ◽  
Big Data Processing ◽  
Nosql Databases ◽  
Data Intensive ◽  
Huge Data ◽  
Data Intensive Applications

NoSQL databases are designed to meet the huge data storage requirements of cloud computing and big data processing. NoSQL databases have lots of advanced features in addition to the conventional RDBMS features. Hence, the “NoSQL” databases are popularly known as “Not only SQL” databases. A variety of NoSQL databases having different features to deal with exponentially growing data-intensive applications are available with open source and proprietary option. This chapter discusses some of the popular NoSQL databases and their features on the light of CAP theorem.

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