Arduino based solar powered battery charging system for rural SHS

Kaur, Tarlochan; Gambhir, Jaimala; Kumar, Sanjay

doi:10.1109/iicpe.2016.8079373

Cited by 14 publications

(9 citation statements)

References 7 publications

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“…To optimal Ardupeat device, the performance of energy power the battery shall able to power the full system for at least 24 hours, without any recharge, and the solar panel must be smart to charge throughout on the day the energy consumed overnight [23], [24]. The ardupeat has requirements for the energy battery and the solar panel [25] was determined as 10 Ah and 12 V, 1.2 Amp respectively. Figure 5.…”

Section: 33power Of Sourcementioning

confidence: 99%

Realtime monitoring for groundwater level and local climate based on universal communication system

Teguh

Usup

2021

Comput. Sci. Inf. Technol.

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The groundwater level and weather patterns and climate conditions are several of the very significant factors which influence the quality of livelihood and the other activity of the tropical peatland environment. The current method of groundwater level and meteorological information aggregate build the use of certain expensive weather station devices, prominent to a lack of vast monitoring suitable to cost barriers and disturbance in some countries. In this research, we have developed and implemented a hardware module based on an Arduino microcontroller and mobile communication, which measures the groundwater level and meteorological data, including air temperature, air humidity, and soil temperature, and humidity, rainfall in peatland area. The data groundwater level is received by a specially developed application interface running on an Internet of Things (IoT) connected through a Global Mobile System (GSM) communication. In this work, our proposed system is a model system that can able to generate alerts based on the real-time groundwater level and data weather as potential peat fire in Indonesia. It provides online and data real-time monitoring. In this works, we have resulted in a system to monitor the groundwater level and data weather alert, condition mapping, and warn the people from its disastrous effects.

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Section: 33power Of Sourcementioning

confidence: 99%

Realtime monitoring for groundwater level and local climate based on universal communication system

Teguh

Usup

2021

Comput. Sci. Inf. Technol.

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“…The improved battery charger will help better monitor battery performance and system reliability. Figure 3 gives the block diagram of the proposed system (Kaur et al, 2016). (Kaur et al, 2016) This work focus on battery energy storage systems.…”

Section: Related Workmentioning

confidence: 99%

“…Figure 3 gives the block diagram of the proposed system (Kaur et al, 2016). (Kaur et al, 2016) This work focus on battery energy storage systems. These systems can absorb and transmit both real and reactive power with subsecond response times.…”

Section: Related Workmentioning

confidence: 99%

Veri Madenciliği Yaklaşımlarını Kullanan Yeni Bir Tarım Takip Sistemi

Albay

Doğan

2020

European Journal of Science and Technology

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Agriculture has been one of our most important needs in the world since the first ages. Nowadays, human knowledge and experience, especially in agriculture, are still lacking in achieving the most productivity. For a plant to grow close to 100% yield, multiple variables must be in optimal condition. In the Agriculture Tracking System, people are able to control the environment required for growing plants, i.e. optimal levels of their variables. Therefore, in this study, we have designed a hardware system with an Internet of Things (IoT) device and 2 sensors. The solar energy to power this hardware system has been used. Also, these sensors are a digital humidity and temperature sensor (DHT11) and Soil Moisture Sensors. Values of incoming from sensors are read with an IP Address. Moreover, these values are written to SQLite database and displayed last 5 records with bar charts. The users can save plants with optimal values. With these values, can make predictions. We have studied the effect of the sun angle on temperature and humidity in the last 5 years with months. We have compared this data with the plants added by the user and presented the most appropriate and closest months as a warning to the user. Another prediction is possible with instant records. When we researched, we saw that the condition of the plant can be categorized according to temperature and humidity. By checking the instant data, a warning message to the user according to these rates is sent by using the K-Nearest Neighbour classification algorithm. As a result, in the tests, the results have shown that this approach can increase productivity.

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“…In 2016, a hand with wrist detection method for unobtrusive hand gestureis reportedin [10], the operation is implemented by using a head mounted display (HMD) where locates in upper body area of a user, and a depth camera under an HMD to extract the shape context features and SVM for the classifier. Another hand detection using facial information is presented in 2016 in [11], here detection of a face is the first step to pick up the face color so as to be used for regions of interest (ROI) extracting to detect hands, specially hand [12], which is based on the convolutional neural network as a deep learning, This technique is based on the architecture of YOLOby utilizing the spatial-transfer connection (STC) between high-level layers and low-level layers, the multi-scale features from different layers can be aggregated for detecting the hands.Another work for hand detection based on statistical learningtraining way is introduced in [13], in which this idea was tested by Using Microsoft's Kinect sensordataset, which is the same database of the proposed work in this paper as well, here features for statistical learning whichapproximates with a Harr-like feature with the help of Adabooststatistical learning, gets the training model. Furthermore, idea of hand detection, which is used an extended histogram of oriented gradients (HOG) model named skin color histogram of oriented gradients (SCHOG) is presented in [14] to construct a human hand detector, firstly, features based on SCHOG are extracted by combining HOG with skin color cues, then support vector machine (SVM) algorithm is used for training the dataset and finally, this method is verified on the testing dataset for the SCHOG features.…”

Section: Literature Reviewmentioning

confidence: 99%

Hand detection and segmentation using smart path tracking fingers as features and expert system classifier

Yasen

Malallah²,

Abdulrazak

et al. 2019

IJECE

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Nowadays, hand gesture recognition (HGR) is getting popular due to several applications such as remote based control using a hand, and security for access control. One of the major problems of HGR is the accuracy lacking hand detection and segmentation. In this paper, a new algorithm of hand detection will be presented, which works by tracking fingers smartly based on the planned path. The tracking operation is accomplished by assuming a point at the top middle of the image containing the object then this point slides few pixels down to be a reference point then branching into two slopes: left and right. On these slopes, fingers will be scanned to extract flip-numbers, which are considered as features to be classified accordingly by utilizing the expert system. Experiments were conducted using 100 images for 10-individual containing hand inside a cluttered background by using Dataset of Leap Motion and Microsoft Kinect hand acquisitions. The recorded accuracy is depended on the complexity of the Flip-Number setting, which is achieved 96%, 84% and 81% in case 6, 7 and 8 Flip_Numbers respectively, in which this result reflects a high level of finite accuracy in comparing with existing techniques.

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Arduino based solar powered battery charging system for rural SHS

Cited by 14 publications

References 7 publications

Realtime monitoring for groundwater level and local climate based on universal communication system

Realtime monitoring for groundwater level and local climate based on universal communication system

Veri Madenciliği Yaklaşımlarını Kullanan Yeni Bir Tarım Takip Sistemi

Hand detection and segmentation using smart path tracking fingers as features and expert system classifier

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