Journal of Instrumentation and Innovation Sciences

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EISSN : 2456-9860
Total articles ≅ 4
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Abhinav Raj, Sandeep Banerjee, Pranav Grover, Yuvraj Rathore, Tapash Nayak
Journal of Instrumentation and Innovation Sciences, Volume 7, pp 17-21; https://doi.org/10.46610/jiis.2022.v07i02.003

Abstract:
In the last few decades, water contamination has become a serious problem that everyone is concerned about. Personal Water Satisfaction is now a standout for individuals who have significant influence over their wellbeing and the state of ailments “among relatives, what are more animals." The principal supplies of drinking water are lakes and other waterways, which rely significantly on water flow (which includes the physical, chemical, and biological characteristics of water). This IoT based water quality monitoring system's main goal or objective is to detect water quality, and how the pH content of water varies, and send notifications to the necessary organizations for that specific or specific water body. This system will be installed in water supply tanks and drinking storage tanks. We're using an Arduino board to compute pH and the same GSM module for message transfer in that case. Finally, the user receives an alert stating the water's pH value. This concept can be developed further by uploading data from sensors to the cloud for global water quality monitoring.
Prashant Sangulagi, Sangamesh Kalyane, T. S. Vishwanath
Journal of Instrumentation and Innovation Sciences, Volume 7, pp 27-48; https://doi.org/10.46610/jiis.2022.v07i01.005

Abstract:
Human activity recognition (HAR) was done in various parts of the world in the most recent decade. HAR intends to give data on human actual activity and to recognize activities in a true setting. HAR is individual of the major problems in the system vision field. Distinguishing and recognizing events or behaviors that are performed by an individual is an essential key objective of astute video frameworks. Person activity is utilized in an assortment of uti1ization zones, from person system cooperation to observation, safety, and wellbeing monitor frameworks. Notwithstanding progressing efforts in the field, HAR is as yet a troublesome errand in an unlimited climate and countenances numerous difficulties. The work incorporates various famous strategies for recognizing activity, in wearable gadgets, and cell phone sensors. Understanding the activities of humans through body sensors data collection methods and analyzing them in machine learning techniques is a demanding task in near future. Wearable devices permit catching assorted reach physiological and efficient data for the app in sports, prosperity, and medical services. Movement Recognition has numerous apps on the planet today. HAR can be characterized as distinguishing and recognizing an individual's activities, for example, "standing, sitting, walking, laying down, walk upstairs, walk downstairs, etc." the proposed system method can add to the fast execution of working activity recognition in genuine working fields.
Addis G. Zegeye, Amruth Ramesh Thelkar
Journal of Instrumentation and Innovation Sciences, Volume 6, pp 60-72; https://doi.org/10.46610/joiis.2021.v06i01.004

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