Dust accumulation on photovoltaic (PV) panels degrades PV panels’ performance;leading to decreased power output and consequently high cost per generated kilowatt. Research addressing the severity of dust accumulation...
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Dust accumulation on photovoltaic (PV) panels degrades PV panels’ performance;leading to decreased power output and consequently high cost per generated kilowatt. Research addressing the severity of dust accumulation on PV panels has been ongoing since the 1940s, but proposed solutions have tended to increase the cost of PV systems either from oversizing or from cleaning the system. The objective of this work, therefore, is to design and implement a low-cost affordable automated PV panel dust cleaning system for use in rural communities of Sub-Saharan Africa (SSA);where financial resources are limited and significantly strained in meeting livelihood activities. Complete design and implementation details of a prototype system are provided for easy replication and capitalization on PV systems for sustainable energy needs. The system detects dust based on the innovative use of light-dependent resistors. Testing and observation of the system in operational mode reveal satisfactory performance;measured parameters quantify a power output increase of 33.76% as a result of cleaning dust off the PV panel used in the study.
Background: The vestibular system encodes head motion in space which is naturally accompanied by other sensory cues. Electrical stimuli, applied across the mastoid processes, selectively activate primary vestibular af...
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Background: The vestibular system encodes head motion in space which is naturally accompanied by other sensory cues. Electrical stimuli, applied across the mastoid processes, selectively activate primary vestibular afferents which has spurred clinical and biomedical applications of electrical vestibular stimulation (EVS). When properly matched to head motion, EVS may also manipulate the closed-loop relationship between actions and vestibular feedback to reveal the mechanisms of sensorimotor recalibration and learning. New method: We designed a portable, low-cost real-time EVS system using an arduino microcontroller programmed through Simulink that provides electrical currents based on head angular motion. We used well-characterized vestibular afferent physiological responses to head angular velocity and electrical current to compute head-motion equivalent of real-time modulatory EVS currents. We also examined if our system induced recalibration of the vestibular system during human balance control. Results: Our system operated at 199.997 Hz ( +/- 0.005 Hz) and delivered head-motion-equivalent electrical currents with similar to 10 ms delay. The output driving the current stimulator matched the implemented linear model for physiological vestibular afferent dynamics with minimal background noise (<0.2% of +/- 10 V range). Participants recalibrated to the modulated closed-loop vestibular feedback using visual cues during standing balance, replicating earlier findings. Comparison with existing methods: EVS is typically used to impose external perturbations that are independent of one's own movement. We provided a solution using open-source hardware to implement a real-time, physiology based, and task-relevant vestibular modulations using EVS. Conclusions: Our portable, low-cost vestibular modulation system will make physiological closed-loop vestibular manipulations more accessible thus encouraging novel investigations and biomedical applications of EVS.
This paper details the physical and hardware design of a flexible open-source IoT (Internet of Things) platform for environmental sensing. The application is a remote water quality monitoring buoy that can be deployed...
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This paper details the physical and hardware design of a flexible open-source IoT (Internet of Things) platform for environmental sensing. The application is a remote water quality monitoring buoy that can be deployed in calm, shallow near-shore aquatic environments with fresh or brackish water. The system's development has been informed by experience through conducting multiple actual water quality studies over a prolonged period. The sys-tem runs an arduino Mega 2560 microcontroller using off-the-shelf Adafruit lux and tem-perature sensors. A light attenuation turbidity sensor is adapted and integrated into the design. A TinySine 3G GSM module transmits data to a server that is displayed via a ThingsBoard IoT dashboard. The system is stable over time, provides reliable remote sensor readings, has low energy consumption, and is powered by renewable energy (up-cycled batteries). The hardware aspires to be general-purpose so that future environmental mon-itoring applications can repurpose the electronics by adding new compatible sensors and modifying the physical design to match the requirements. (c) 2022 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://***/licenses/by-nc-nd/4.0/).
Today, many industrial and domestic electronic appliances and equipment (devices) are exposed to power disturbances such as voltage variations of the AC mains supply which often lead to damage of the electronic device...
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Today, many industrial and domestic electronic appliances and equipment (devices) are exposed to power disturbances such as voltage variations of the AC mains supply which often lead to damage of the electronic devices. As these devices are quite sensitive to power disturbances, there is a need for a tripping system that can help avoid any damage to devices in use. The objective of this work is to build a system that monitors line voltage and protects appliances from unacceptable voltage variations. The system consists of a tripping mechanism that monitors the input voltage and trips according to the limits provided. An arduino Uno microcontroller is used to determine the voltage level through a voltage divider circuit. The system’s novelty and innovation lie in its flexibility. It offers the user the ability to define different overvoltage and undervoltage threshold values depending on the specific appliances used in the household. In operation, the system displays the voltage state (overvoltage, normal voltage, overvoltage) and alerts the user by sending an SMS via a GSM modem. The system is valuable for industrial and domestic applications, especially in developing economies such as those of Sub-Saharan Africa, where overvoltage and undervoltage are acute problems.
This article presents the technology of the organization of project-based learning in programming microcontrollers based on the faculty of information technology L.N. Gumilyov Eurasian National University. Based on th...
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This article presents the technology of the organization of project-based learning in programming microcontrollers based on the faculty of information technology L.N. Gumilyov Eurasian National University. Based on the analysis of scientific, methodological and normative articles, a structural model of the organization of the project-based learning in programming microcontrollers was developed. The processes of project development life cycle and the role of each member of the project team were described by stage. In the process of developing the project, students faced various challenges and found ways to solve them. As a result of the project-based seminars, the participants learnt to apply theoretical knowledge to solve real world problems in practice and received an unforgettable experience working in team.
In this work, the 3D printed silicone microfluidic systems with simultaneous laser-scattering detection for turbidimetric and nephelometric measurements are presented. As a model reaction, the Exton method for total p...
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In this work, the 3D printed silicone microfluidic systems with simultaneous laser-scattering detection for turbidimetric and nephelometric measurements are presented. As a model reaction, the Exton method for total protein determination has been chosen as the well-known analytical protocol. Presented research is a development of recently presented idea of Silicone Optical Technology (SOT). It can be considered as the next step for all-in-one 3D printed analytical system concept, which means that microfluidic platform as well as detection system parts can be constructed during one-step manufacturing process. During the investigations, three microfluidic platforms with different flow-mixing patterns were designed and optimized for flow rate and sample injection volume. The most promising system with so-called 3D mixing (mixing channel along three axes) was characterized by analytical parameters sufficient for total protein analysis: limit of detection of 3 mg/L, linearity in the range of 16 - 400 mg/L and 50 mu L sample consumption. The analytical usefulness of developed microfluidic platform was proved by analysis of urine samples. Furthermore, the design and setting up of double detection system based on arduino microcontroller have been discussed.
Increasing the efficiency of water supply networks is essential in arid and semi-arid regions to ensure the supply of drinking water to the inhabitants. The cost of renovating these systems is high. However, customize...
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Increasing the efficiency of water supply networks is essential in arid and semi-arid regions to ensure the supply of drinking water to the inhabitants. The cost of renovating these systems is high. However, customized management models can facilitate the maintenance and rehabilitation of hydraulic infrastructures by optimizing the use of resources. The implementation of current Internet of Things (IoT) monitoring systems allows decisions to be based on objective data. In water supply systems, IoT helps to monitor the key elements to improve system efficiency. To implement IoT in a water distribution system requires sensors that are suitable for measuring the main hydraulic variables, a communication system that is adaptable to the water service companies and a friendly system for data analysis and visualization. A smart pressure monitoring and alert system was developed using low-cost hardware and open-source software. An arduino family microcontroller transfers pressure gauge signals using Sigfox communication, a low-power wide-area network (LPWAN). The IoT ThingSpeak platform is used for data analysis and visualization. Additionally, the system can send alarms via SMS/email in real time using the If This, Then That (IFTTT) web service when anomalous pressure data are detected. The pressure monitoring system was successfully implemented in a real water distribution network in Spain. It was able to detect both breakdowns and leaks in real time.
This article presents the results of a pedagogical experiment when teaching microcontroller programming. The pedagogical experiment was conducted at the Faculty of Information Technology of the L.N. Gumilyov Eurasian ...
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This article presents the results of a pedagogical experiment when teaching microcontroller programming. The pedagogical experiment was conducted at the Faculty of Information Technology of the L.N. Gumilyov Eurasian National University in the form of project-based seminars on the arduino platform (2017-2020). The experiment was attended by 88 first-year IT students. Our goal in this study is to verify the proposed hypothesis on the use of the project-based learning method in teaching microcontroller programming. In the process of conducting a pedagogical experiment, we divided our students into 2 groups: control and experimental. The training of both groups was carried out according to one curriculum, but using different methods. In the control group, traditional teaching methods and learning tools were used, and in the experimental group, we used the technology of project-based learning. As assessment criteria, we took the test tasks "pre-test" and "post-test" that we developed and conducted a survey for the control and experimental groups. We used statistical methods to confirm or refute the proposed hypothesis of our research, that is, at the end of the pedagogical experiment to get an informed decision about the difference and coincidence of the obtained data.
An urban local body of our country has planned to establish innovative and affordable method of treating solid waste offsite. Current manual waste segregation method is still a challenge for the environmental sustaina...
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An urban local body of our country has planned to establish innovative and affordable method of treating solid waste offsite. Current manual waste segregation method is still a challenge for the environmental sustainability and considering the fact a mechanical waste segregator is designed which can identify the type of waste and separate them using arduino microcontroller. The separated solid wastes are subjected to landfill and a review on landfill leachate management practice is presented in this paper. Then an enhanced Sequential Leach Bed-HUASB Reactor design is proposed for leachate treatment. The fabricated pilot scale model was functioning in the mesophilic state with pretreated solid waste as feed for ten different organic loading. The routine and real time monitoring of process control is based on plasma that depends on remote and onsite control. The materialization of devices is based on the Internet of Things (IoT) cloud, which is observed to be the emerging trend. By captivating the field data the devices are related to the process of mathematical calculation that plays significant role in transforming to the objects and are used to scrutinize turbidity, suspended solids, dissolved oxygen and COD using sensors, thereby managing the leachate for making Sustainable smart city development.
Stabilized landfill leachates (SLL) contain a high concentration of biorecalcitrant substances. Conventional biological-based water treatment methods are often inefficient in the treatment of SLL. In this study, a lab...
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Stabilized landfill leachates (SLL) contain a high concentration of biorecalcitrant substances. Conventional biological-based water treatment methods are often inefficient in the treatment of SLL. In this study, a laboratory-scale automated continuous flow leachate treatment system was developed to study the feasibility of combining coagulation-flocculation and a sulfate radical-based advanced oxidation process (UVactivated persulfate) in the treatment of SLL. SLL was first treated with coagulation- flocculation. Subsequently, the pre-treated leachate was filtered through a sand filter into an ammonia-stripping tank and a flow-through UV purifier. Ammonia stripping and the UV-activated persulfate advanced oxidation process were performed simultaneously to remove ammonium ions and dissolved organic matter from the pre-treated SLL. The treated SLL was then passed through an anion exchange column for sulfate ion removal. The results showed that this system reduced chemical oxygen demand and total organic carbon concentrations by 91 and 90%, respectively. Further, 68% of ammoniacal nitrogen was removed. The color and turbidity of the SLL were removed entirely, and the system removed 70 to 98% of the metals commonly contained in SLLs. The phytotoxicity and ecotoxicity of the SLL were also largely reduced. The results confirmed that the developed continuous flow leachate treatment system could efficiently reduce the color, chemical oxygen demand, total organic carbon, metals, ammoniacal nitrogen, and the toxicity of SLL. (c) 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://***/licenses/by-nc-nd/4.0/).
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