Interactive Simulation-Based Testing of Product Gas Transfer Integrated Monitoring and Control Software for the Lunar Mars Life Support Phase III Test

1998 ◽  
Author(s):  
Jane T. Malin ◽  
Land Fleming ◽  
Thomas R. Hatfield
Author(s):  
Deng-yu Zhao ◽  
Xing-ping Lai ◽  
Chang-fa Ji ◽  
Hong-jun Xi ◽  
Zhang Bo ◽  
...  

Author(s):  
Tahereh Habibli ◽  
Tahereh Najafi Ghezeljeh ◽  
Shima Haghani

Background & Aim: Cardiopulmonary arrest as a life-threatening condition needs urgent interventions to protect individuals’ life and prevent irreversible damages to vital organs. This study aimed to investigate the effect of simulation-based education on the knowledge and performance of nursing students of adult essential life support cardiopulmonary resuscitation (BLS-CPR). Methods & Materials: This study used a pretest-posttest study with a control group. It was conducted at Iran University of medical sciences, Tehran, Iran, in 2017. In this study, 49 nursing students at the sixth education semester were assigned using the simple random allocation into two groups of intervention (n=28) and control (n=21). Initially, the conventional BLS education was provided to the two groups of intervention and control using the conventional method. Next, the intervention group received a simulation-based education. The knowledge and performance of the students before, immediately after, and three months after the intervention was assessed using a modified knowledge assessment questionnaire and a modified performance evaluation checklist about BLS in adults. Results: The students’ knowledge in the intervention group immediately after (p<0.001) and three months after the intervention (p<0.05) were significantly higher than the control group. The mean scores of performance immediately after (p<0.001) and three months after the intervention (p<0.001) were significantly higher than the control group. Conclusions: Simulation-based education increased the knowledge and performance of nursing students in the field of BLS-CPR. According to the results, integrating conventional training with simulation-based education can be effective in learning BLS among nursing students.


Author(s):  
M. A. Abul-Soud ◽  
M. S. A. Emam ◽  
Sh. M. Mohammed

Aims: Sensing, monitoring and control the micro-climate measurements and environmental conditions of greenhouse prototype to create a smart hydroponic greenhouse for maximizing the food production as well as minimizing the ecological footprint under the climate change impacts, Coved 19 crisis, and natural resources shortages. Study Design: Factorial with 3 replicates. Place and Duration of Study: Central Laboratory for Agriculture Climate (CLAC), Agriculture Research Center, Egypt during 2020. Methodology: Two systems of hydroponic culture, nutrient film technique (NFT) and deep flow technique (DFT) that cultivated by lettuce plants were established under greenhouse (polycarbonate) prototype (0.8 * 1.2 * 0.6 m) designed with artificial grown light and cooling system. Based on Arduino Mega 2560 that programmed via the Arduino IDE program, different sensors and actuators were used to establishing the smart greenhouse. Internet of things (IoT) via Node MCU ESP 8266 that programmed to transmitted the data every 30 min. to the internet web google platform (Firebase) for presenting the real-time records and hosting the data. Vegetative characteristics; yield parameters and N, P, and K contents of lettuce plants were measured. Results: the smart greenhouse worked according to the programming of Arduino Mega and Node MCU with high efficiency. Google firebase platform displays the real-time records and hosts about 100 thousand different sensor records during the lettuce season. Decreasing the distance between the lettuce and artificial lightning source led to increasing the intensity of light that had a positive impact on lettuce growth but it wasn't sufficient to give a high quality of lettuce yield under the experiment. NFT system gave higher values of average No. of leaves and fresh weight of lettuce plants than DFT system that presented higher plant length. Conclusion: Integrated monitoring and control system and IOT provide a wireless sensors network that offered a high capability of accessing huge data anywhere and anytime. Smart management of nutrient solution (TDS, pH, temperature, and level), without smart control, were not useful enough regarding the rapid solution changes and the need for a high response.


2021 ◽  
pp. 220-227
Author(s):  
Б.И. Олейников ◽  
И.И. Костылев ◽  
Д.В. Коняев ◽  
А.П. Петров

Материал статьи отражает развитие тенденции внедрения в практику судоходной индустрии судов без экипажа на борту. Оснащение современных судов интегрированными системами контроля и управления оборудованием позволяет управлять судовой энергетической установкой без постоянного присутствия членов машинной команды. Многие вопросы, связанные с проведением мероприятий по обслуживанию механизмов и устройств решаются в период межрейсовых стоянок специальным персоналом. Это приближает деятельность экипажа к условиям работы операторов технологических объектов и стимулирует появление транспортных средств с малоэкипажным составом или вообще без экипажа. Морские автономные надводные суда (МАНС), как они классифицируются в международной практике, уже реальность и необходимо обоснованно подходить к системе управления по мере увеличения количества таких объектов и их технического совершенствования. Основное внимание в статье уделяется роли и месте расположения судовых специалистов, без которых практически невозможно технически грамотно эксплуатировать судовую энергетическую установку, независимо от ее типа и особенностей конструктивного исполнения. Приводятся примеры уже работающих МАНС. Авторы рассматривают наиболее реальные варианты формирования системы искусственного интеллекта и наделения ее функциями контроля состояния и управления элементами судовой энергетики. The article material reflects the trend development implementing into the shipping industry practice the vessels without a crew on board. Equipping modern ships with integrated monitoring and control systems allows the ship's power plant to be operated without the constant presence of the engine crew members. Many issues related to the maintenance of mechanisms and devices are resolved during inter-trip stops by special personnel. This brings the crew activities closer to the working conditions of the technological facilities operators and stimulates the appearance of means of transport with a small crew or no crew at all. Maritime Autonomous Surface Ship (MASS), as they are classified in international practice, are already a reality and it is necessary to reasonably approach the control system as the number of such objects increases and their technical improvement. The main attention in the article is paid to the role and location of ship specialists, without whom it is practically impossible to operate a ship power plant in technically competent manner, regardless of its type and design features. Examples of already operating MASS are given. The authors consider the most realistic options for an artificial intelligence system formation and endowing it with the functions of monitoring the state and control of the elements of ship power engineering.


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