scholarly journals Cell Extractor

2020 ◽  
Vol 20 (1) ◽  
pp. 29-32
Author(s):  
A.C. Gheorghe

AbstractThe study aims for the development of a system for cellular extraction, developed at the level of an experimental model, with the help of which the user can generate a series of sessions of cellular extraction from the cultures of specific cells. To move to the prototype level, the system that will materialize in an specialized equipment for cell extraction and inter / intra-cell injection needs a developed user interface, so that the equipment as a whole is easy to use by the human operator. The present project provides a viable technical interfacing solution for the above mentioned equipment, using the Raspberry Pi hardware resources and the Python C. software resources. Demonstrating the capability of the Raspberry Pi - Python technical tandem for the biomedical equipment to be built is the essence of this project, and the further development of a specialized user interface is a natural step.

1982 ◽  
Vol 26 (11) ◽  
pp. 964-968 ◽  
Author(s):  
F. A. Glenn ◽  
A. L. Zaklad ◽  
R. J. Wherry

This paper outlines and briefly discusses some major results of the Human Operator Simulator (HOS) development program. HOS is described as it is currently configured, and some thoughts are presented on the further development of HOS in the cognitive domain.


Author(s):  
Yiqun Pan ◽  
Qiqiang Li ◽  
Hui Zhou ◽  
Joe Huang ◽  
Sen Huang ◽  
...  

In order to make EnergyPlus easier to use in China, VisualEPlus, a Chinese graphical user interface for the program, has been developed. VisualEPlus is designed to be generic, so that it can be used in any country, as well as be linked to other modeling tools and interfaces for EnergyPlus. VisualEPlus has three main modules: (1) a Building Loads Module for defining the building geometry, envelope, and space conditions that has been adapted from an existing DOE-2 interface (DOE2IN); (2) a HVAC System Module with a drag-and-drop feature for defining the HVAC system; and (3) a View Report Module with a reporting and visualization tool for EnergyPlus reports and outputs. This paper presents the background and development of VisualEPlus, describes its main functions and features as compared to other existing interfaces for EnergyPlus, and discusses plans for the further development of VisualEPlus.


2020 ◽  
Vol 17 (5) ◽  
pp. 2288-2295
Author(s):  
K. V. Sowmya ◽  
Harshavardhan Jamedar ◽  
Pradeep Godavarthi

Development of surveillance and monitoring systems are quite difficult and challenging task at times. The design of a system depends on the environment to be monitored. Such surveillance systems need to have dynamic features, for e.g., cameras used for monitoring may be mobiles, web cams etc. installed to the system. Such systems are used in various large buildings like shopping malls where it could incur high cost for installing cameras in each level of buildings. Even for people like security officers it could be huge task to cover an entire building. Other examples for dynamic surveillance system could be detecting poisonous gases in an area, explosives and any fire risk elements. Another case is that it can reach where the area is not accessed by humans. In view of these challenges we propose a Remote monitoring system where a Robotic Car is installed with camera, Ultrasonic sensor, DHT11, PIR sensors according to the environment involved. The instructions are given to the robotic car using a third party app called Blynk as user interface. Here the raspberry pi is used as a microcontroller which is connected to WIFI acts as the communication medium to connect the server provided by Blynk. The Blynk app which acts as a user interface is interacted with the car using Wi-Fi and its server.


1987 ◽  
Vol 137 (1) ◽  
pp. 128-131 ◽  
Author(s):  
Barry A. Kogan ◽  
Ravi Gupta ◽  
Klaus-peter Juenemann

Author(s):  
Andrew Bohm

Described here are instructions for building and using an inexpensive automated microscope (AMi) that has been specifically designed for viewing and imaging the contents of multi-well plates. The X, Y, Z translation stage is controlled through dedicated software (AMiGUI) that is being made freely available. Movements are controlled by an Arduino-based board running grbl, and the graphical user interface and image acquisition are controlled via a Raspberry Pi microcomputer running Python. Images can be written to the Raspberry Pi or to a remote disk. Plates with multiple sample wells at each row/column position are supported, and a script file for automated z-stack depth-of-field enhancement is written along with the images. The graphical user interface and real-time imaging also make it easy to manually inspect and capture images of individual samples.


2013 ◽  
Vol 11 (2) ◽  
pp. 2250-2255 ◽  
Author(s):  
Chaitanya Bysani ◽  
T. S. Rama Krishna Prasad ◽  
Sridhar Chundi

The objective of this paper is to create a low cost commercial off the shelf data analyzer for improving automotive safety and design a user interface infotainment system by using Raspberry Pi.  In this paper we propose Raspberry pi based application that monitor the vehicle ECUs through an OBD-II(On Board Diagnostics) interface, perform Diagnostics with DTCs (Diagnostics trouble codes). Infotainment system having functions such as audio and video playback, games, internet connectivity through either USB Wi-Fi dongles or USB Modems and dashboard camera operation. Raspberry Pi will transmit the data over Wi-Fi in real-time in xml format over Wi-Fi on a DHCP connected network.


2019 ◽  
Vol 16 (8) ◽  
pp. 3384-3394
Author(s):  
Sathish Kumar Selvaperumal ◽  
Waleed Al-Gumaei ◽  
Raed Abdulla ◽  
Vinesh Thiruchelvam

This paper aims to design and develop a network infrastructure for a smart campus using the Internet of Things which can be used to control different devices and to update the management with real-time data. In this proposed system, NodeMCU ESP8266 is interfaced with thermal and motion sensor for human, humidity and temperature sensor for the room and relay to control the lights and the air-conditioned. MQTT broker is used to acquire the data and control to and from NodeMCU ESP8266, Raspberry pi and LoRa, to be interfaced wirelessly with the Node-Red. Thus, the system is controlled and monitored wirelessly with the help of the developed integrated Graphical User Interface along with the Mobile application. The performance of the developed proposed system is analyzed and evaluated by testing the motion detection in the classroom, the LoRa range with the RSSI, the average time taken by the system to respond, the average time taken for the Graphical User Interface to response and update its data. Finally, the average time taken by the system and the Graphical User Interface to respond to the lights and air-conditioned control systems is less than 1 s, and for the security and parking systems is less than 2 s.


2018 ◽  
Vol 24 (1) ◽  
pp. 27-42
Author(s):  
Aadesh K. Rakhra ◽  
Danny D. Mann

Abstract. If a user-centered approach is not used to design information displays, the quantity and quality of information presented to the user may not match the needs of the user, or it may exceed the capability of the human operator for processing and using that information. The result may be an excessive mental workload and reduced situation awareness of the operator, which can negatively affect the machine performance and operational outcomes. The increasing use of technology in agricultural machines may expose the human operator to excessive and undesirable information if the operator’s information needs and information processing capabilities are ignored. In this study, a user-centered approach was used to design specific interface elements for an agricultural air seeder. Designs of the interface elements were evaluated in a laboratory environment by developing high-fidelity prototypes. Evaluations of the user interface elements yielded significant improvement in situation awareness (up to 11%; overall mean difference = 5.0 (4.8%), 95% CI (6.4728, 3.5939), p < 0.0001). Mental workload was reduced by up to 19.7% (overall mean difference = -5.2 (-7.9%), n = 30, a = 0.05). Study participants rated the overall performance of the newly designed user-centered interface elements higher in comparison to the previous designs (overall mean difference = 27.3 (189.8%), 99% CI (35.150, 19.384), p < 0.0001). Keywords: Agricultural machines, Interface design principles, Situation awareness, User-centered design, User interface design, User experience.


2020 ◽  
Author(s):  
Mallory E. Udell ◽  
Angel Garcia Martinez ◽  
Tengfei Wang ◽  
Jie Ni ◽  
Christian Hurt ◽  
...  

AbstractThe tail immersion assay is a widely used method for measuring acute thermal pain in a way which is quantifiable and reproducible. It is non-invasive and measures response to a stimulus that may be encountered by an animal in its natural environment. However, tail withdrawal latency data are usually collected manually, and precise temperatures of the water at the time of measurement are most often not recorded. These two factors can reduce the reproducibility of tail immersion assay data. We designed a device, TailTimer, which uses the Raspberry Pi single-board computer and a temperature sensor, to automatically record both tail withdrawal latency and water temperature. The device has a radio frequency identification (RFID) system that can record the ID of animals. Our software recognizes several specific RFID keys as user interface commands, which allows TailTimer to be operated via RFID fobs. We also programmed the device to only allow tests to be conducted when the water is within ± 0.25 °C of the target temperature. Data recorded using the TailTimer device showed a linear relationship between tail withdrawal latency and water temperature when tested between 47 - 50 °C. We also observed a profound effect of water mixing speed on tail withdrawal latency. Our data further revealed significant strain and sex differences, valorizing TailTimer in its ability to detect genetically-determined variations in thermal pain sensitivity.Significance StatementQuantification of tail withdrawal latency in response to thermal pain has essentially remained the same since the method was first introduced decades ago and relies on manual recording of water temperature and tail withdrawal latency. Such manual methods engender relatively substantial variability and are potential contributors to some of the discrepancies present among relevant research. The open source TailTimer device we report here is simple and inexpensive to manufacture. The RFID-based user interface is ergonomic, especially in animal facilities where space is limited and gloves are mandatory. We anticipate that the increased reproducibility of tail withdrawal latency provided by TailTimer will augment its utility in nociception and addiction research.


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