Published: Jun 28, 2022
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DOI: 10.4018/IJSDA.302630
Volume 11
Adebayo Tolulope Adedugba, Olaleke O. Ogunnaike, Kingsley A. Adeyemo, Busola E. Kehinde, Gbenga Oke
Inventory optimality is an option of energy utilization proportionality that can lessen carbon emanations and maximize profitability. This study proposes an inventory management model in which the...
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Inventory optimality is an option of energy utilization proportionality that can lessen carbon emanations and maximize profitability. This study proposes an inventory management model in which the stock volume is optimally decided to diminish energy per resource utilized in-other to reduce carbon emanations. This will likewise help in concluding renewal volume optimally. Consequently, the study utilized economic order quantity (EOQ) to decide inventory volumes in-other to decrease carbon emanations so as to augment profits of the inventory chain. Partial least square(PLS) was additionally utilized to examine the extent of inventory management frameworks on environmental sustainability. The study, therefore, shows its oddity and pertinency by utilizing economic order quantity(EOQ) and partial least square(PLS) to examine and optimize inventory respectively, as it gives a perspective of decreasing carbon emanations during inventory procedures.
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Adedugba, Adebayo Tolulope, et al. "Inventory Management Sustainability: A Case of Carbon Emanation Reduction in Selected Ceramics Manufacturing Firms in Lagos State, Nigeria." IJSDA vol.11, no.1 2022: pp.1-14. http://doi.org/10.4018/IJSDA.302630
APA
Adedugba, A. T., Ogunnaike, O. O., Adeyemo, K. A., Kehinde, B. E., & Oke, G. (2022). Inventory Management Sustainability: A Case of Carbon Emanation Reduction in Selected Ceramics Manufacturing Firms in Lagos State, Nigeria. International Journal of System Dynamics Applications (IJSDA), 11(1), 1-14. http://doi.org/10.4018/IJSDA.302630
Chicago
Adedugba, Adebayo Tolulope, et al. "Inventory Management Sustainability: A Case of Carbon Emanation Reduction in Selected Ceramics Manufacturing Firms in Lagos State, Nigeria," International Journal of System Dynamics Applications (IJSDA) 11, no.1: 1-14. http://doi.org/10.4018/IJSDA.302630
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Published: Nov 3, 2022
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DOI: 10.4018/IJSDA.302631
Volume 11
Justice Kwame Appati, Winfred Yaokumah, Ebenezer Owusu, Paul Nii Tackie Ammah
One among a lot of public health concerns in rural and tropical areas is the human intestinal parasite. Traditionally, diagnosis of these parasites is by visual analysis of stool specimens, which is...
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One among a lot of public health concerns in rural and tropical areas is the human intestinal parasite. Traditionally, diagnosis of these parasites is by visual analysis of stool specimens, which is usually tedious and time-consuming. In this study, the authors combine techniques in the Laplacian pyramid, Gabor filter, and wavelet to build a feature vector for the discrimination of intestinal worm in a low-resolution image captured with mobile devices. The dimension of the feature vector is reduced using principal component analysis, and the resultant vector is considered as input to the SVM classifier. The proposed framework was applied to the Makerere intestinal dataset. At its preliminary stage, the results demonstrate satisfactory classification with an accuracy rate of 65.22% with possible extension in future work.
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Appati, Justice Kwame, et al. "Primary Mobile Image Analysis of Human Intestinal Worm Detection." IJSDA vol.11, no.1 2022: pp.1-16. http://doi.org/10.4018/IJSDA.302631
APA
Appati, J. K., Yaokumah, W., Owusu, E., & Ammah, P. N. (2022). Primary Mobile Image Analysis of Human Intestinal Worm Detection. International Journal of System Dynamics Applications (IJSDA), 11(1), 1-16. http://doi.org/10.4018/IJSDA.302631
Chicago
Appati, Justice Kwame, et al. "Primary Mobile Image Analysis of Human Intestinal Worm Detection," International Journal of System Dynamics Applications (IJSDA) 11, no.1: 1-16. http://doi.org/10.4018/IJSDA.302631
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Published: Aug 26, 2022
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DOI: 10.4018/IJSDA.302632
Volume 11
Bharati Patel, Aakanksha Sharaff, Satish Verulkar
The statistical growth analysis of field crop has become a great challenge in agriculture. Analyzing the growth of crop through automation provides extensive significance to the farmers for getting...
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The statistical growth analysis of field crop has become a great challenge in agriculture. Analyzing the growth of crop through automation provides extensive significance to the farmers for getting information about the problem arising in plants due to irregular growth monitoring. The idea behind this work is the importance of mapping with pixel-based clustering technique for growth analysis in terms of height calculation of rice crop (rice variety is MTU-1010). Height measurement plays a vital role in regular assessment for a healthy crop, and the approach proposed in this work achieves 97.58% accuracy of 14 sampled datasets taken from Indira Gandhi Agriculture University of Raipur, Chhattisgarh; a real-time dataset has been prepared. Proposed work is used for analyzing vertical as well as horizontal scaling technique. Vertical mapping provides the height of a single plant whereas horizontal mapping using k-means clustering provides an average height of the whole field. This work uses machine learning, and image processing techniques are used for this work.
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Patel, Bharati, et al. "Statistical Growth Analysis of Rice Plants in Chhattisgarh Region Using Automated Pixel-Based Mapping Technique." IJSDA vol.11, no.1 2022: pp.1-20. http://doi.org/10.4018/IJSDA.302632
APA
Patel, B., Sharaff, A., & Verulkar, S. (2022). Statistical Growth Analysis of Rice Plants in Chhattisgarh Region Using Automated Pixel-Based Mapping Technique. International Journal of System Dynamics Applications (IJSDA), 11(1), 1-20. http://doi.org/10.4018/IJSDA.302632
Chicago
Patel, Bharati, Aakanksha Sharaff, and Satish Verulkar. "Statistical Growth Analysis of Rice Plants in Chhattisgarh Region Using Automated Pixel-Based Mapping Technique," International Journal of System Dynamics Applications (IJSDA) 11, no.1: 1-20. http://doi.org/10.4018/IJSDA.302632
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Published: Sep 2, 2022
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DOI: 10.4018/IJSDA.302633
Volume 11
Priti Srinivas Sajja, Rasendu Mishra
This paper focuses on using the cooperative neuro-fuzzy system for the effective and customised selection of entities from large and heterogeneous resources by presenting a general architecture. An...
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This paper focuses on using the cooperative neuro-fuzzy system for the effective and customised selection of entities from large and heterogeneous resources by presenting a general architecture. An experiment is carried out with the fast-moving consumer goods to prove the utility of the architecture. It is observed that most consumers go for the frequent purchase of fast-moving consumer items. Further, various brands, costs, discounts, schemes, quantities, and reviews might make it challenging. Hence, such decisions need to be intelligent and practically feasible in terms of time and effort. The paper discusses neural networks to categorise the entities, type-1 & 2 fuzzy membership functions with rules, training sets, and graphical views of the fuzzy rules and the experiment details. Besides the generic approach and experiment, the paper also discusses the work done so far with their limitations and applications in other domains. At the end, the paper presents the limitations and possible future enhancements.
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Sajja, Priti Srinivas, and Rasendu Mishra. "Effective Selection of Entities From Heterogeneous and Large Resources Using a Cooperative Neuro-Fuzzy System: A Case of Fast Moving Consumer Goods." IJSDA vol.11, no.1 2022: pp.1-17. http://doi.org/10.4018/IJSDA.302633
APA
Sajja, P. S. & Mishra, R. (2022). Effective Selection of Entities From Heterogeneous and Large Resources Using a Cooperative Neuro-Fuzzy System: A Case of Fast Moving Consumer Goods. International Journal of System Dynamics Applications (IJSDA), 11(1), 1-17. http://doi.org/10.4018/IJSDA.302633
Chicago
Sajja, Priti Srinivas, and Rasendu Mishra. "Effective Selection of Entities From Heterogeneous and Large Resources Using a Cooperative Neuro-Fuzzy System: A Case of Fast Moving Consumer Goods," International Journal of System Dynamics Applications (IJSDA) 11, no.1: 1-17. http://doi.org/10.4018/IJSDA.302633
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Published: Sep 1, 2022
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DOI: 10.4018/IJSDA.302634
Volume 11
Ratish Kumar, Rajiv Kumar, Madhav Ji Nigam
By the second decade of the 21st century, there has been a multi-faceted technological development in the field of networked control system (NCS). This progression in NCS has not only revealed its...
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By the second decade of the 21st century, there has been a multi-faceted technological development in the field of networked control system (NCS). This progression in NCS has not only revealed its significant applications in various areas but has also unveiled various difficulties associated with it that hampered the operations of networked control system. Network-induced delays are issues that promote many other issues like packet dropout and brevity in bandwidth utilization. In this research article, network-induced delay has been curtailed by using the harmony between Smith predictor and Markov approach. The error estimation of the Smith predictor controller used for the simulation is carried out through a Markov approach which allows the control of the system to operate smoothly by optimizing the control signal. To implement the proposed method, the authors have simulated a third order system in Matlab/Simulink software.
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Kumar, Ratish, et al. "Performance Accretion in Delay Compensation of Networked Control System Using Markov Approach-Based Randomness Estimation in Smith Predictor." IJSDA vol.11, no.1 2022: pp.1-17. http://doi.org/10.4018/IJSDA.302634
APA
Kumar, R., Kumar, R., & Nigam, M. J. (2022). Performance Accretion in Delay Compensation of Networked Control System Using Markov Approach-Based Randomness Estimation in Smith Predictor. International Journal of System Dynamics Applications (IJSDA), 11(1), 1-17. http://doi.org/10.4018/IJSDA.302634
Chicago
Kumar, Ratish, Rajiv Kumar, and Madhav Ji Nigam. "Performance Accretion in Delay Compensation of Networked Control System Using Markov Approach-Based Randomness Estimation in Smith Predictor," International Journal of System Dynamics Applications (IJSDA) 11, no.1: 1-17. http://doi.org/10.4018/IJSDA.302634
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Published: Sep 16, 2022
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DOI: 10.4018/IJSDA.307566
Volume 11
Poonam Mittal, Monika Mangla, Nonita Sharma, Reena, Suneeta Satpathy, Sachi Nandan Mohanty
During this pandemic outbreak of COVID-19, the whole world is getting severely affected in respect of population health and economy. This novel virus has brought the whole world including the most...
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During this pandemic outbreak of COVID-19, the whole world is getting severely affected in respect of population health and economy. This novel virus has brought the whole world including the most developed countries to a standstill in a very short span like never before. The prime reason for this unexpected outburst of COVID-19 is lack of effective medicine and lack of proper understanding of the influencing factors. Here, the authors aim to find the effect of epidemiological factors that influence its spread using a fuzzy approach. For the same, a total of nine factors have been considered which are classified into risk and preventive factors. This fuzzy model supports to understand and evaluate the impact of these factors on the spread of COVID-19. Also, the model establishes a basis for understanding the effect of risk factors on preventive factors and vice versa. It is worth mentioning that this is the first attempt to analyze the effect of clinical and epidemiological factors with respect to COVID-19 using a fuzzy approach.
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Mittal, Poonam, et al. "Fuzzy Modelling of Clinical and Epidemiological Factors for COVID-19." IJSDA vol.11, no.1 2022: pp.1-16. http://doi.org/10.4018/IJSDA.307566
APA
Mittal, P., Mangla, M., Sharma, N., Reena, Satpathy, S., & Mohanty, S. N. (2022). Fuzzy Modelling of Clinical and Epidemiological Factors for COVID-19. International Journal of System Dynamics Applications (IJSDA), 11(1), 1-16. http://doi.org/10.4018/IJSDA.307566
Chicago
Mittal, Poonam, et al. "Fuzzy Modelling of Clinical and Epidemiological Factors for COVID-19," International Journal of System Dynamics Applications (IJSDA) 11, no.1: 1-16. http://doi.org/10.4018/IJSDA.307566
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