Smart Medical Nursing Care Unit based on Internet of Things for Emergency Healthcare

Recently, the development and integration of various sensor control with smart intelligent unit is used in medical field through IoT. However, there is still a lot of space for growth in the medical and health industry's use of new technology. The traditional nurse care unit is managed through medical staffs, and the expanding medical demands creates the hospital’s patients records to be updated inefficiently. Since this is now an urgent need, developing a realistic, smart medical nursing care unit at low cost with a system capable of facilitating the effective and convenient administration of medical staff has taken a new significance. The proposed framework, conducted in the analysis to monitor medical records and activities of the emergency care unit patients, functions as a nurse and gives patients the nurse care satisfaction. The patients' actual location may be obtained for the first time by cloud computing based smart system. The precise location of the patient is critical to rescue the patient in emergency situation. This research work illustrates that the intelligent nurse care unit is the main phase called Smart Medical Nursing Care (SMNC). It contains several sensor units and by the combination of many sensors in the sensor module, it takes very less reaction time to connect or communicate both sides i.e., between patients and medical staffs.

SMART SAFETY SHOES: INTERNET OF THINGS BASED ANTI FATIGUE SENSORS TO PREVENT MUSCULOSKELETAL DISORDERS

Background: Occupational injuries in Indonesia increase every year where one of the causes is fatigue. Musculoskeletal disorders (MSDs) is the most common occupational injuries that happen. This problem can be caused by ergonomic factors such as standing position for long periods of time. Purpose: Safety shoes can be personal protective equipment to prevent MSDs complaints on the feet. Method: Additional designs and features are needed to increase the effectiveness of safety shoes. Smart Safety Shoes are shoes equipped with anti-fatigue sensors where there is a pulse detector and a heating sensor and apply Internet of Things technology by focusing attention to ergonomic concepts. The sensor system in the shoes is connected to the android application via wifi network. The application displays pulse rate, temperature, oxygen saturation, warning and recommendation information, as well as heating sensor control. Result: From the results of trials using a random sample, the levels of comfort and safety of these shoes are 83,3% and 83,3%, so they are quite effective to use. Conclusion: Foot fatigue can be relieved by turning on the heating sensor for about 5-10 minutes for maximum comfort so that MSDs can be prevented as early as possible.

Mathematical Models of Main Units and Units of Automated Stabilization Instrument Complex

This work presents the developed mathematical models of the main components and units that are part of the stabilizer: control panel, gyrotachometer GT46, position sensor, control unit, etc. Mathematical models of the armament unit and turret with gearbox and motor are obtained. A mathematical model of analog and digital control path of the horizontal guidance channel is obtained; vertical guidance channel; results of mathematical modeling of control modes: for vertical channel, for horizontal channel. Mathematical models have been developed, which are used in modeling the stabilizer control modes, as well as in the study of changes in the circuit-technical solution of the weapon stabilizer in order to increase its accuracy. The reliability of the obtained results was confirmed by the results of experimental testing.

Design and Experiment of the Automatic Laying System for Rice Seedling Tray

In the process of raising rice seedlings, it is necessary to manually place the seedling trays one by one in the seedling field, which is labor intensive and low in efficiency. In order to solve this problem, according to the actual conditions of the rice seedling field, this paper designs and develops an automatic rice tray laying system, which consists of a gantry truss moving unit, a tray laying trolley unit, a tray laying mechanism unit and a sensor control unit. Through the movement and timing coordination of the cams in the laying mechanism unit, four actions of holding, clamping, laying and restoring are designed to realize the orderly and automatic laying of the stacked seedling trays one by one. In order to meet the agronomic requirements of the horizontal and vertical spacing of seeding trays, especially the efficiency of rice tray laying, the control strategies of the key parts of the system were simulated, selected and optimized. For the longitudinal movement of the gantry truss, the cross-coupling control strategy is adopted to realize the detection and compensation correction of the synchronous position error of the two driving motors. As for the drive motor of the laying trolley and the laying mechanism, the optimized master-slave follow-up control method is adopted to improve the efficiency and accuracy. The results of simulation and field experiment show that when the tray trolley moves on the gantry truss at the speed of 7.5 cm/s, the gantry truss moves at the speed of 35 cm/s in the longitudinal direction, and when the height of the tray laying mechanism is 100 mm from the ground and the motor speed is 375 rpm, the horizontal spacing of the tray can be maintained at 25 ± 5 mm and the vertical spacing at 15 ± 5 mm. The efficiency of tray laying can be increased by 35.7%, up to 380 trays/h, meeting the technical requirements of mechanized field tray laying.

Categorising green building features in developing countries: The case of South Africa

Purpose This study aims to explore the concept of green building by determining a suitable system for categorising green building features (GBFs) that are considered significant in enhancing the value of a building in a developing economy with particular reference to South Africa. The motivation for categorising the features is based on the perception that the upsurge in adopting green building and sustainability has ushered in a new and formidable set of challenges to practising professionals in terms of recognising the most significant value-adding GBFs. Design/methodology/approach A quantitative approach was adopted, involving randomly selected construction professionals within the Western Cape Province of South Africa. The data were analysed using descriptive and inferential statistical analysis tools. Findings Based on the mean ranking analysis, the top three most important features, amongst others, were kitchen and water-closet (WC) water efficient fittings, megawatt photovoltaic solar plant and water metering for monitoring and leak detection. Additionally, an exploratory factor analysis revealed that the underlying grouped features were “recycled materials and high-performance building energy design”, “water-saving and solar technologies”, “biometric system and acoustical feature”, “sensor control and natural daylight design”, “daylight harnessing feature”, “high-performance hydrologic strategy and noise control feature” and “special utility feature and water efficiency technologies”. Research limitations/implications This study was conducted and limited only to the Western Cape Province of South Africa. However, the findings have practical significance to the generality of green building projects and may serve as a useful guide for other developing countries. Originality/value This study broadens the viewpoint of construction professionals to recognise and prioritise the most important GBFs in South Africa that increase the value of a building. To create a system for assessing the sustainability of a building, the seven components and the features associated with them may be useful.

Development and Manufacturing of a Controlled 3D Printed Bionic Hand

During a current project, a fully functioning prototype of a 3D printed bionic hand was developed. This paper explains principles such as: bionic hand movement, working rules of sensors and actuators etc. Design of all parts are performed, including the wiring of control system. The project includes two types of sensor control systems for bionic hand. One is with stretch sensors that replicates movement of human hand onto the bionic model. Other type is using machine learning (AI) and a camera. The average amputee cost is $30.000,00 for a new custom-built arm/hand. With the advancement of technology through time, manufacturing processes became cheaper and more accessible. Technical innovation of this project was the fact, that a functional prosthetic hand prototype was built for price lower than $50,00. The prototype does not have all the functions and capabilities as the full priced custom prosthetic hand, but it can replicate altogether the movements as the real device. All the fingers are capable of moving individually, sideways and with the work on the new version, gripping function could be perfected. Further work on materials, could help find the adequate material to increase friction and thusly enhance the grasp strength. The new challenge would involve testing with different kinds of materials to improve the working stability. As it was already unfavorable, this project was mostly based onto the actuation part, or rather the hand itself. Second part of research would involve exploring of different sensor systems. Two control solutions were designed and tested. Next steps would involve neurotransmission sensors, where arm would be controlled using brainwaves as signals that are transformed in movement.

Model-Based Evaluation of a Data-Driven Control Strategy: Application to Ibuprofen Crystallization

This work presents a methodology that relies on the application of the radial basis functions network (RBF)-based feedback control algorithms to a pharmaceutical crystallization process. Within the scope of the model-based evaluation of the proposed strategy, firstly strategies for the data treatment, data structure and the training methods reflecting the possible scenarios in the industry (Moving Window, Growing Window and Golden Batch strategies) were introduced. This was followed by the incorporation of such RBF strategies within a soft sensor application and a nonlinear predictive data-driven control application. The performance of the RBF control strategies was tested for the undisturbed cases as well as in the presence of disturbances in the process. The promising results from both RBF soft sensor control and the RBF predictive control demonstrated great potential of these techniques for the control of the crystallization process. In particular, both Moving Window and Golden Batch strategies performed the best results for an RBF soft sensor, and the Growing Window outperformed the remaining methodologies for predictive control.

A Microcontroller Based Efficient Scheduling System for Air Conditioner Focusing on Maximum Electricity Savings Using PWM Concept

With the development and uses of various electrical and electronic devices, energy consumption in our daily-life is rapidly increasing. Since Air Conditioner (AC) itself is responsible for about half of the energy consumption in home and office environment, several contributions have been proposed to reduce costs. However, almost all of them require internal modification of the AC. As a result, the existing techniques hardly focus the user satisfaction during troublesome situations. To address existing limitations, in this paper, a microcontroller based smart scheduling system using Pulse Width Modulation (PWM) concept has been proposed for efficiently managing the AC operational time. The PWM concept provides complete power switching control rather than traditional sensor control without user intervention. The PWM concept has been applied to dynamically operate the AC using user-defined ‘On_time’, ‘Off_time’, and ‘Cycle_number’. Each Cycle_number is comprised of one On_time and one Off_time period that drives running and mode-switching operation of the AC automatically for the defined Cycle_number, which reduces greater energy consumption during sleep-time. Over traditional sensor control in AC, the proposed PWM based scheduling process controls power switching by automatically managing full-power “cut-off” and “activation” phases which is expedient for power saving and safety. The proposed application enables controlling the AC more dynamically than our traditional thermal sensor control by changing its mode of operation. The tested results reveal that the proposed technique can reduce 50%-75% unnecessary energy consumption by the users in-home or office environment.