The role of artificial neural network and machine learning in utilizing spatial information

Akash Goel,Amit Kumar Goel,Adesh Kumar 대한공간정보학회 2023 Spatial Information Research Vol.31 No.3

In this age of the fourth industrial revolution 4.0, the digital world has a plethora of data, including the internet of things, mobile, cybersecurity, social media, forecasts, health data, and so on. The expertise of machine learning and artificial intelligence (AI) is required to soundly evaluate the data and develop related smart and automated applications, These fields use a variety of machine learning techniques including supervised, unsupervised, and reinforcement learning. The objective of the study is to present the role of artificial neural networks and machine learning in utilizing spatial information. Machine learning and AI play an increasingly important role in disaster risk reduction from hazard mapping and forecasting severe occurrences to real-time event detection, situational awareness, and decision assistance. Some of the applications employed in the study to analyze the various ANN domains included weather forecasting, medical diagnosis, aerospace, facial recognition, stock market, social media, signature verification, forensics, robotics, electronics hardware, defense, and seismic data gathering. Machine learning determines the many prediction models for problems involving classification, regression, and clustering using known variables and locations from the training dataset, spatial data that is based on tabular data creates different observations that are geographically related to one another for unknown factors and places. The study presents that the Recurrent neural network and convolutional neural network are the best method in spatial information processing, healthcare, and weather forecasting with greater than 90% accuracy.

Evaluation of General and Specific Combining Ability in Newly Synthesized Inbred Lines of Bivoltine Silkworm Bombyx mori L.

Goel, Ajay Kumar,Chandrashekharaiah, Chandrashekharaiah,Rao, Y. Uma Maheshwar Korean Society of Sericultural Science 2010 International Journal of Industrial Entomology Vol.20 No.2

Eight bivoltine inbred lines of silkworm Bombyx mori L. viz., AP8, AP10, AP17 and AP18 with marked female and plain male larvae and AP1, AP54, AP71 and AP72 with all plain larvae synthesized from Chinese commercial hybrids were evaluated for their general combining ability (gca), specific combining ability (sca) and reciprocal effects for eight quantitative traits. The line AP18 was found to be best general combiner by virtue of significant positive and positive gca effects for seven out of eight traits studied followed by the lines AP10, AP8 and AP17. Seven hybrids recorded significant positive and positive sca effects for all the traits under study reflecting the interaction of alleles, additive and non additive gene action and dominant effects expressed by genes. Among the 28 reciprocal hybrids, AP54$\times$AP18 and AP1$\times$AP17 revealed significant reciprocal effects for the six traits followed by AP54$\times$AP8 for five and AP10$\times$AP71 for four traits.

Integrated Approach for Prioritization in Automobile Development Process

Goel, Parveen,Lim, Iksung,Koo, Ikseob,Kim, Taesung 한국품질경영학회 2002 품질경영학회지 Vol.30 No.3

A successful product development process can not be achieved without a proper focus and prioritization. For this research, the priority is defined as the relative urgency of a system compared to other system in order to develop and launch a successful product. The process of integrated approach for prioritization using ID and Goal Programming is developed. The development of a mid-size car by an internationally reputed automotive company is described as a case study.

How Compliant are Tobacco Vendors to India's Tobacco Control Legislation on Ban of Advertisments at Point of Sale? A Three Jurisdictions Review

Goel, Sonu,Kumar, Ravinder,Lal, Pranay,Tripathi, J.P.,Singh, Rana J.,Rathinam, Arul,Christian, Anant Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.24

Background: Section 5 of India's tobacco control legislation "Cigarettes and Other Tobacco Products Act (COTPA), 2003"comprehensively prohibits all kinds of tobacco advertisement, promotion and sponsorship (TAPS), but permits advertisments at the point-of-sale (POS) under certain conditions. This provision has been exploited by the tobacco companies to promote their products. Objective: To measure compliance with the provisions of Section 5 of Indian tobacco control legislation (COTPA, 2003) at point of sale. Materials and Methods: A cross-sectional survey using an observation checklist was conducted in 1860 POS across three jurisdictions (Chennai city, District Vadodara and District Mohali) in India. Results: The most common mode of advertisement of tobacco products was product showcasing (51.1%), followed by dangles (49.6%), stickers (33.8%) and boards (27.1%). More than one fourth of POS were found violating legal provisions for displaying advertisement boards in one or other forms (oversized, extended to full body lenth of POS, displayed brandname/packshot and promotional messages). Advertisement boards (16.3%) without health warnings were also found and wherever found, more than 90% health warning were not as per the specification in respect to size, font and background color. Conclusions: Point of sale advertising is aggressively used by the tobacco industry to promote their products. There is an urgent need of effective implementation of a comprehensive ban on tobacco product advertisement, promotion and sponsorship at point of sale.

The current approach to the diagnosis of vascular anomalies of the head and neck: A pictorial essay

Goel, Sinny,Gupta, Swati,Singh, Aarti,Prakash, Anjali,Ghosh, Sujoy,Narang, Poonam,Gupta, Sunita Korean Academy of Oral and Maxillofacial Radiology 2015 Imaging Science in Dentistry Vol.45 No.2

Throughout the years, various classifications have evolved for the diagnosis of vascular anomalies. However, it remains difficult to classify a number of such lesions. Because all hemangiomas were previously considered to involute, if a lesion with imaging and clinical characteristics of hemangioma does not involute, then there is no subclass in which to classify such a lesion, as reported in one of our cases. The recent classification proposed by the International Society for the Study of Vascular Anomalies (ISSVA, 2014) has solved this problem by including non-involuting and partially involuting hemangioma in the classification. We present here five cases of vascular anomalies and discuss their diagnosis in accordance with the ISSVA (2014) classification. A non-involuting lesion should not always be diagnosed as a vascular malformation. A non-involuting lesion can be either a hemangioma or a vascular malformation depending upon its clinicopathologic and imaging characteristics.

SOME THEOREMS ON GENERALISED LAPLACE TRANSFORM

Goel, V.P. Department of Mathematics 1976 Kyungpook mathematical journal Vol.16 No.2

A Review of a New Clinical Entity of ‘Central Atlantoaxial Instability’: Expanding Horizons of Craniovertebral Junction Surgery

Atul Goel 대한척추신경외과학회 2019 Neurospine Vol.16 No.2

The author discusses the novel form of central or axial atlantoaxial instability and analyses its clinical significance. High degree of clinical and radiological understanding of the region is mandatory to diagnose and then treat such atlantoaxial instability. Evaluation of alignment of facets of atlas and axis and observations on direct manipulation of facets of atlas and axis forms the basis of diagnosis. The treatment of clinical entities like basilar invagination, Chiari formation, syringomyelia and myelopathy related to cervical spinal degeneration, spinal deformities, ossified posterior longitudinal ligament, and Hirayama disease can be influenced by the understanding of central or axial atlantoaxial instability.

Performance Analysis of Active Disturbance Rejection Controlled Robotic Manipulator based on Evolutionary Algorithm

Ankur Goel,Akhilesh Swarup 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.1

Active disturbance rejection control (ADRC) is a unique control strategy that combines the effectiveness of error driven PID controller, usefulness of state observer and strength of nonlinear feedback. This control algorithm, not only actively (online) estimates but also compensates the effects of unknown internal and external disturbances, present inherently in the plant with the help of a well-tuned extended state observer (ESO). Although, the classical solution to the parameter tuning performed by using parameterization technique provides good solution, it is not optimal for having desired performance specifications. Consequently, it became imperative to have intelligent tuning technique to achieve optimized solution to parameter tuning problem. In this regards, the Evolutionary Algorithms (EA), inspired by natural system and based on swarm intelligence, are proven to be the best tool to find the optimized solution of multi-dimensional problems. This paper presents an application of an EA optimized ADRC controller on an uncertain 2-DoF revolute-prismatic (RP) robotic manipulator for efficient trajectory tracking and parametric robustness. Eventually, the conventional ADRC design problem is converted into a special optimization problem for finding the optimal controller tuning parameters. To accomplish this task, two well-known EA’s viz. Particle Swarm Optimization (PSO) and Bacteria Foraging Optimization (BFO) are implemented and performance of EA based controller-plant configuration is individually analyzed for each algorithm. The results of this note illustrate the benefits and weakness of the EA for implementing ADRC on MIMO systems. The performance of both the optimization techniques is compared in terms of computational time and convergence efficiency. Further, the optimized controllers are tested for the robustness in presence of disturbance and sensor noise to imitate real engineering. MATLAB based simulation results are presented and compared to demonstrate the effectiveness of both the EA's in designing an ADRC controller for improving manipulator tracking ability.

Exergy Analysis of Various Absorption Heat Transformer Systems Using Classical and Modi¯ed Gouy–Stodola Equation

T. Goel,G. SACHDEVA 대한설비공학회 2015 International Journal Of Air-Conditioning and Refr Vol.23 No.1

In the present study, performance evaluation of three di®erent con¯gurations of absorption heattransformer (AHT) is carried out by supplying the waste heat of same mass and same temperature;and exergy analysis is done using both the classical and modi¯ed Gouy–stodola equation. For this a mathematical model is developed for all the three arrangements in EngineeringEquation Solver. Water–lithium bromide is used as a working pair. The results of exergy destructionwith classical and modi¯ed Gouy–stodola equation are compared for di®erent systems. Further various operating parameters are varied to predict the performance of the systems on thebasis of second law analysis. The result showed that the amount of hot °uid produced in absorberis more for system 3 as compared to other con¯gurations. The irreversibility calculated by themodi¯ed approach comes out to be 25.78%, 23.60%, and 23.45% more than the exergy destructionobtained by the classical approach in the three cases, respectively. Thus, there is a need to employthe modi¯ed approach of Gouy–Stodola equation for calculating the real irreversibility whichhelps in predicting the scope of improvement and the performance of the system more accurately

A Fuzzy Based Approach for Denoising of ECG Signal using Wavelet Transform

Supriya Goel,Pradeep Tomar,Gurjit Kaur 보안공학연구지원센터 2016 International Journal of Bio-Science and Bio-Techn Vol.8 No.2

Electrocardiogram (ECG) is a vital biomedical signal for diagnosing heart diseases, but now it has many other applications like stress recognition, biometric recognition etc. but ECG signal gets noisy from various sources like as muscle noise, electrode artifacts, baseline drift noise and respiration. As wavelet transform shows a good performance in de-noising the ECG signal, however the selection of appropriate mother wavelet functions and number of wavelet decomposition levels is still an issue to remove the various kinds of noises from the input signal. It is essential to denoise the ECG signal to get appropriate features of ECG signal.This research work analyze and compare the removal of noise and distortion in ECG signal using five wavelets(Daubechies, Coiflet, Haar, Biorthogonal and Symmlet) with four thresholding rules(SURE, Hybrid,Universal and Minimax) and various decomposition levels using Fuzzy Inference System .The parameters used for performance analysis are Signal to Noise Ratio,Mean Square Error(MSE) and variance.