Digital Signal Processing: An Abstract Mathematics to Real World Experience

Pillai, Preeti S.; Raghavendra, Srinivas; Shraddha, B. H.; Nikita, P.; Iyer, Nalini C.

doi:10.16920/jeet/2016/v0i0/85546

Cited by 6 publications

(2 citation statements)

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“…Taguchi's technique acts as a reference and narrates a systematic approach for planning and conduction of experiments most effectively when there are numerous parameters related to the end results [15]. Hence the most appropriate data is collected which provides valid and objective conclusions as shown in Figure 7.…”

Section: Optimizationmentioning

confidence: 99%

Sensor Based on-the-go Detection of Macro Nutrients for Agricultural Crops

Hiremath¹

2020

Adv. sci. technol. eng. syst. j.

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Agriculture, being the vital sector, contributes to India's GDP by 18%. It is necessary to enhance the production in this sector with minimal need of resources to get the good yield of crops. It in turn boosts up the necessity of automation in the field of agriculture. This paper discusses about the experimental study which includes the invasive/non-invasive method to sense the approximate supply of macro nutrients such as Nitrogen, Phosphorous & Potassium to the plants. The nutrient content of leaf is sensed by the usage of optical sensors. The results have been obtained based on the sensor data carried out for the sample test leaf. Thus, the level of the estimated nutrient contents is indicated by three different ranges such as Low (L), Medium (M) and High (H). A mathematical model is developed for nutrient measurement especially for nitrogen and validated with SPAD meters for the measurement of nitrogen content. The other macro nutrients were also estimated, and the entire system is tested at different test conditions with the support of UASD in the field of University of Agricultural Science.

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Section: Optimizationmentioning

confidence: 99%

Sensor Based on-the-go Detection of Macro Nutrients for Agricultural Crops

Hiremath¹

2020

Adv. sci. technol. eng. syst. j.

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“…The statistics reveal that 65% of the students are visual learners and the rest are sequential learners. It is the responsibility of a tutor to discover and implement different pedagogy methods to be inculcated with traditional teaching [1], [4]. Signals and Systems is one of the basic courses in the Electronics and Communication curriculum and the concepts in this course are closely associated with mathematics.…”

Section: Introductionmentioning

confidence: 99%

Experiential Learning Framework for Signals and Systems: An Attempt Towards Reaching Higher Levels of Cognition

Patil¹,

Pillai²,

Hiremath³

et al. 2021

JEET

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In this paper, we propose an experiential learning module for the course Signals and Systems (SNS). This course is designed in the second year of the Electronics and Communication Engineering stream and challenging course as it demands a higher level of cognition skills. Experiential learning is a series of activities that allow students to be actively involved in ensuring learning. The experiential learning module enhances the problemsolving skills towards reaching higher levels of cognition, moving from the lower levels of remembering, understanding. Typically, the conventional modes are teacher-centric, visual learners and sequential learners find challenges in stimulating their cognition skills. Towards this, we design an experiential learning framework with two techniques: Concept inventory and SNS with Python to facilitate sequential learners and visual learners respectively. The challenges associated with the deployment of our framework are time and resource management. The proposed framework facilitates achieving a higher level of cognitive skills; also the introduction of the simulating tool ensures the conceptual learning of the course beyond classroom learning.

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