Pub Date : 2022-12-23DOI: 10.22201/icat.24486736e.2022.20.6.868
S. Noferesti, M. Shamsfard
Opinion mining has been attracting increasing attention in recent years. Existing approaches to opinion mining that have worked on general domains face two major challenges for polarity classification of drug reviews. Firstly, indirect opinions frequently occur in the drug domain, while the existing methods have mainly focused on direct opinions and ignored the indirect ones. Secondly, previous works are not sufficient for polarity classification of ambiguous concepts in the drug domain. This paper proposed a semantic framework based on domain knowledge for resource construction and exploitation for indirect opinion mining of drug reviews. Accordingly, some methods were introduced, developed, and compared for building and exploiting a combined knowledge base, polarity-tagged corpus, and context-aware resources for the polarity detection of drug reviews. The test results showed that the proposed methods reached a precision of 89.18% and 80.4% in the application of the combined knowledge base and the polarity-tagged corpus for polarity detection of indirect opinions, respectively. Also, a precision of 79.93% was achieved with the use of context-aware resources constructed for the polarity detection of ambiguous concepts. Overall, the results obtained demonstrated the performance of the proposed methods compared to the existing methods.
{"title":"A Semantic Framework based on Domain Knowledge for Opinion Mining of Drug Reviews","authors":"S. Noferesti, M. Shamsfard","doi":"10.22201/icat.24486736e.2022.20.6.868","DOIUrl":"https://doi.org/10.22201/icat.24486736e.2022.20.6.868","url":null,"abstract":"Opinion mining has been attracting increasing attention in recent years. Existing approaches to opinion mining that have worked on general domains face two major challenges for polarity classification of drug reviews. Firstly, indirect opinions frequently occur in the drug domain, while the existing methods have mainly focused on direct opinions and ignored the indirect ones. Secondly, previous works are not sufficient for polarity classification of ambiguous concepts in the drug domain. \u0000This paper proposed a semantic framework based on domain knowledge for resource construction and exploitation for indirect opinion mining of drug reviews. Accordingly, some methods were introduced, developed, and compared for building and exploiting a combined knowledge base, polarity-tagged corpus, and context-aware resources for the polarity detection of drug reviews. The test results showed that the proposed methods reached a precision of 89.18% and 80.4% in the application of the combined knowledge base and the polarity-tagged corpus for polarity detection of indirect opinions, respectively. Also, a precision of 79.93% was achieved with the use of context-aware resources constructed for the polarity detection of ambiguous concepts. Overall, the results obtained demonstrated the performance of the proposed methods compared to the existing methods.","PeriodicalId":15073,"journal":{"name":"Journal of Applied Research and Technology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47046306","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-23DOI: 10.22201/icat.24486736e.2022.20.6.1256
Teena George, J. P., T. Francis, C. E. S. Sreedharan
This paper proposes an adaptive fuzzy logic based Maximum Power Point Tracking (MPPT) for Permanent Magnet Synchronous Generator (PMSG) based variable speed Wind Energy Conversion System (WECS). The control algorithm, online updates the scaling factors of the Fuzzy Logic Controllers (FLCs) at a high convergence speed. The adaptive FLC is in cooperated along with field-oriented control of PMSG to track the maximum power. The WECS is connected to the grid through a back-to-back converter. The grid side inverter is controlled by voltage-oriented control along with FLC, so that power quality standards of the grid are maintained. The performance of the system is verified using MATLAB Simulink and it is validated that power coefficient of WECS abide at its optimum value with dynamic conditions in wind speed. The WECS provides full reactive power support for the system with a unity power factor operation at the grid. The active power sharing of WECS to the grid/load changes with the availability of wind power.
{"title":"Wind Energy Conversion System Based PMSG for Maximum Power Tracking and Grid Synchronization Using Adaptive Fuzzy Logic Control","authors":"Teena George, J. P., T. Francis, C. E. S. Sreedharan","doi":"10.22201/icat.24486736e.2022.20.6.1256","DOIUrl":"https://doi.org/10.22201/icat.24486736e.2022.20.6.1256","url":null,"abstract":"This paper proposes an adaptive fuzzy logic based Maximum Power Point Tracking (MPPT) for Permanent Magnet Synchronous Generator (PMSG) based variable speed Wind Energy Conversion System (WECS). The control algorithm, online updates the scaling factors of the Fuzzy Logic Controllers (FLCs) at a high convergence speed. The adaptive FLC is in cooperated along with field-oriented control of PMSG to track the maximum power. The WECS is connected to the grid through a back-to-back converter. The grid side inverter is controlled by voltage-oriented control along with FLC, so that power quality standards of the grid are maintained. The performance of the system is verified using MATLAB Simulink and it is validated that power coefficient of WECS abide at its optimum value with dynamic conditions in wind speed. The WECS provides full reactive power support for the system with a unity power factor operation at the grid. The active power sharing of WECS to the grid/load changes with the availability of wind power.","PeriodicalId":15073,"journal":{"name":"Journal of Applied Research and Technology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41692349","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-23DOI: 10.22201/icat.24486736e.2022.20.6.955
D. Hermanto, D. Siswanta, M. Mudasir, M. Muhali, N. Ismillayli
Design and synthesis of the poly vinyl chloride (PVC) membrane as Fe(III) ion selective electrode (ISE) sensor based on EHA ionophore as an excellent sensory molecule for monitoring Fe(III) in the sample solution had been done. Simple and efficient EHA was made by condensation of carboxylic acid HA with ethanol and sulfuric acid as catalist. PVC membrane was prepared by mixed all component such as PVC powder, EHA, plasticizer (o-NPOE and DOP) and anion lipophilic (Sodium-TPB and oleic acid) with a total weight of 100 mg and dissolved in 1 mL of dry THF. The electrode membrane responses showed that the electrodes were highly selective to ion Fe3+ at pH 3 with response time of ±50 seconds. The dynamic range of the membrane ISE sensor was 10-1–10-7 M with the value of Nernst factor was ±19 mV per decade. The membrane electrode can be used for at least 5 weeks. The analytical results of Fe(III) measurement showed good confirmity with reference method (AAS), suggesting that the developed analytical tool could be used to measure and monitor Fe(III) in the real water samples.
{"title":"Design and Synthesis of the Poly Vinyl Chloride (PVC) Membrane for Fe(III) Ion Selective Electrode (ISE) Based on Ester Modified Humic Acid (EHA) as an Ionophore","authors":"D. Hermanto, D. Siswanta, M. Mudasir, M. Muhali, N. Ismillayli","doi":"10.22201/icat.24486736e.2022.20.6.955","DOIUrl":"https://doi.org/10.22201/icat.24486736e.2022.20.6.955","url":null,"abstract":"Design and synthesis of the poly vinyl chloride (PVC) membrane as Fe(III) ion selective electrode (ISE) sensor based on EHA ionophore as an excellent sensory molecule for monitoring Fe(III) in the sample solution had been done. Simple and efficient EHA was made by condensation of carboxylic acid HA with ethanol and sulfuric acid as catalist. PVC membrane was prepared by mixed all component such as PVC powder, EHA, plasticizer (o-NPOE and DOP) and anion lipophilic (Sodium-TPB and oleic acid) with a total weight of 100 mg and dissolved in 1 mL of dry THF. The electrode membrane responses showed that the electrodes were highly selective to ion Fe3+ at pH 3 with response time of ±50 seconds. The dynamic range of the membrane ISE sensor was 10-1–10-7 M with the value of Nernst factor was ±19 mV per decade. The membrane electrode can be used for at least 5 weeks. The analytical results of Fe(III) measurement showed good confirmity with reference method (AAS), suggesting that the developed analytical tool could be used to measure and monitor Fe(III) in the real water samples.","PeriodicalId":15073,"journal":{"name":"Journal of Applied Research and Technology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44600282","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-31DOI: 10.22201/icat.24486736e.2022.20.5.1606
Diego Armando Zaldivar, A. Romero
In practice, the condition state of Power Transformers (PT) is quantified by using Health Index (HI). This paperanalyzes and compares three different state-of-the-art algorithms to compute HI. The first one uses a Weighted SumModel (WSM), the second is based on a Fuzzy Inference System (FIS), and the third combines both techniques, i.e.,WSM and FIS. These three approaches are tested in a PT fleet composed of 30 units. Results show that eachapproach produces different HI values for the same PTs. Therefore, decision making regarding the PT fleet willdepend on the selected approach for HI calculation. This work proposes merging the knowledge involved in eachanalyzed approach by using a K-means clustering technique to overcome this drawback. This solution could help theasset manager to make adequate decisions regarding the maintenance scheduling of PT when there is uncertaintyabout the appropriate approach to be selected.
{"title":"Health Index for Power Transformer Condition Assessment: A Comparison of Three Different Techniques.","authors":"Diego Armando Zaldivar, A. Romero","doi":"10.22201/icat.24486736e.2022.20.5.1606","DOIUrl":"https://doi.org/10.22201/icat.24486736e.2022.20.5.1606","url":null,"abstract":"In practice, the condition state of Power Transformers (PT) is quantified by using Health Index (HI). This paperanalyzes and compares three different state-of-the-art algorithms to compute HI. The first one uses a Weighted SumModel (WSM), the second is based on a Fuzzy Inference System (FIS), and the third combines both techniques, i.e.,WSM and FIS. These three approaches are tested in a PT fleet composed of 30 units. Results show that eachapproach produces different HI values for the same PTs. Therefore, decision making regarding the PT fleet willdepend on the selected approach for HI calculation. This work proposes merging the knowledge involved in eachanalyzed approach by using a K-means clustering technique to overcome this drawback. This solution could help theasset manager to make adequate decisions regarding the maintenance scheduling of PT when there is uncertaintyabout the appropriate approach to be selected.","PeriodicalId":15073,"journal":{"name":"Journal of Applied Research and Technology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41369319","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-31DOI: 10.22201/icat.24486736e.2022.20.5.1375
Jeeva P A, K. S, R. D, VamshiKrishna Reddy K, P. B., N. S
The present work is focused on the influence of zinc trivalent plating on laser shot peened AISI 304 stainless steel samples to improve the corrosion resistance of the steel surface. AISI 304 steel samples were heat treated by annealing and polished to perform Laser Shot Peening (LSP) process using Nd-YAG laser functioning at a pulse interval of 10ns with different energies of 200 mJ, 300 mJ and 400 mJ on each sample. The highest magnitude of compressive residual stresses is induced using the pulse density of 2500 pulses/cm2. The laser treated sample was characterized by surface hardness using Vickers micro hardness test and surface morphology using an optical microscope and SEM analysis. The surface hardness of the sample is increased by increasing laser energy. The prepared zinc trivalent is plated using electro deposition on the laser treated surface by maintaining current between 1.5 to 4 amps/Dm2, and temperature between 20 to 40 deg C. MAHR’s roughness tests were performed to find the surface roughness of the sample. The surface roughness has drastically increased on zinc coated samples compared to samples without coating. The Vickers micro hardness test conducted on zinc trivalent plated sample revealed the increase in hardness value of 200mJ by 24% compared with 200mJ sample without coating. SEM and EDAX were carried out to know the changes occurred in the chemical composition of the samples before and after coating.
{"title":"An Investigation on Laser shot peened surfaces","authors":"Jeeva P A, K. S, R. D, VamshiKrishna Reddy K, P. B., N. S","doi":"10.22201/icat.24486736e.2022.20.5.1375","DOIUrl":"https://doi.org/10.22201/icat.24486736e.2022.20.5.1375","url":null,"abstract":"The present work is focused on the influence of zinc trivalent plating on laser shot peened AISI 304 stainless steel samples to improve the corrosion resistance of the steel surface. AISI 304 steel samples were heat treated by annealing and polished to perform Laser Shot Peening (LSP) process using Nd-YAG laser functioning at a pulse interval of 10ns with different energies of 200 mJ, 300 mJ and 400 mJ on each sample. The highest magnitude of compressive residual stresses is induced using the pulse density of 2500 pulses/cm2. The laser treated sample was characterized by surface hardness using Vickers micro hardness test and surface morphology using an optical microscope and SEM analysis. The surface hardness of the sample is increased by increasing laser energy. The prepared zinc trivalent is plated using electro deposition on the laser treated surface by maintaining current between 1.5 to 4 amps/Dm2, and temperature between 20 to 40 deg C. MAHR’s roughness tests were performed to find the surface roughness of the sample. The surface roughness has drastically increased on zinc coated samples compared to samples without coating. The Vickers micro hardness test conducted on zinc trivalent plated sample revealed the increase in hardness value of 200mJ by 24% compared with 200mJ sample without coating. SEM and EDAX were carried out to know the changes occurred in the chemical composition of the samples before and after coating.","PeriodicalId":15073,"journal":{"name":"Journal of Applied Research and Technology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42867649","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-31DOI: 10.22201/icat.24486736e.2022.20.5.1957
Mario M. Monsreal, Rafael Bernardo Carmona Benitez
Purpose: To increase the understanding of the IoT by demonstrating its impacts and benefits on supply chain performance. Design/methodology/approach: System dynamic simulation modeling to estimate IoT impacts on supply chain performance, based on a previously proposed framework and its propositions. Findings: In general, simulation results show a positive impact on the supply chain activities where the propositions targeted. Specifically: P2: better decision-making. – The study case shows better asset utilization, and reduced shipping time. However, transportation costs increase because of the lack of a decision-making system. P3: enhanced supply chain connectivity/collaboration/integration. – The study case shows that benefits of supply chain integration through demand planning can be obtained. P5: reduced lead-time. – The study Case shows a reduced shipping time when location technology and when all technologies are combined. P6: better asset utilization. – The study Case shows a higher utilization factor, hinting a better asset utilization even without a decision-making system. Research limitations/implications: The models here presented are based on merged data from different sources: Primary and secondary sources, and estimates based on assumptions. The mere nature of the base-data limits the precision of results. Practical implications: The implementation of data collection or data transmission technologies alone is not sufficient to obtain full benefits. A decision-making processing system, that integrates the complete array of appropriated technologies, should also be implemented. This the underlying concept and the contribution of the IoT.
{"title":"Impact of IoT on Supply Chain Performance","authors":"Mario M. Monsreal, Rafael Bernardo Carmona Benitez","doi":"10.22201/icat.24486736e.2022.20.5.1957","DOIUrl":"https://doi.org/10.22201/icat.24486736e.2022.20.5.1957","url":null,"abstract":"Purpose: To increase the understanding of the IoT by demonstrating its impacts and benefits on supply chain performance. \u0000Design/methodology/approach: System dynamic simulation modeling to estimate IoT impacts on supply chain performance, based on a previously proposed framework and its propositions. \u0000Findings: In general, simulation results show a positive impact on the supply chain activities where the propositions targeted. Specifically: \u0000P2: better decision-making. – The study case shows better asset utilization, and reduced shipping time. However, transportation costs increase because of the lack of a decision-making system. \u0000P3: enhanced supply chain connectivity/collaboration/integration. – The study case shows that benefits of supply chain integration through demand planning can be obtained. \u0000P5: reduced lead-time. – The study Case shows a reduced shipping time when location technology and when all technologies are combined. \u0000P6: better asset utilization. – The study Case shows a higher utilization factor, hinting a better asset utilization even without a decision-making system. \u0000Research limitations/implications: The models here presented are based on merged data from different sources: Primary and secondary sources, and estimates based on assumptions. The mere nature of the base-data limits the precision of results. \u0000Practical implications: The implementation of data collection or data transmission technologies alone is not sufficient to obtain full benefits. A decision-making processing system, that integrates the complete array of appropriated technologies, should also be implemented. This the underlying concept and the contribution of the IoT.","PeriodicalId":15073,"journal":{"name":"Journal of Applied Research and Technology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48609840","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-31DOI: 10.22201/icat.24486736e.2022.20.5.1390
A. Escamilla-García, G. M. Soto-Zarazúa, M. Toledano-Ayala, A. Gastélum-Barrios
One of the principal activities in the poultry industry is determine the sex of chickens of one day old. In this paper, we present a non-invasive technique to determine the sex of day-old chickens based on image processing algorithms. The technique analyzes morphometrical attributes from chicken using the slow and rapid growth of primary and secondary feathers patterns and linear discriminant analysis models. Based on the area formed with the superior points of each feather, the technique is capable to determine the sex of day-old chickens with an accuracy of 94.4%, providing a cheap, non-invasive, and high accurate technique that could be implemented onto a dedicated and automated system.
{"title":"A new application of morphometric variables and image processing to determine day-old chicken sex","authors":"A. Escamilla-García, G. M. Soto-Zarazúa, M. Toledano-Ayala, A. Gastélum-Barrios","doi":"10.22201/icat.24486736e.2022.20.5.1390","DOIUrl":"https://doi.org/10.22201/icat.24486736e.2022.20.5.1390","url":null,"abstract":"One of the principal activities in the poultry industry is determine the sex of chickens of one day old. In this paper, we present a non-invasive technique to determine the sex of day-old chickens based on image processing algorithms. The technique analyzes morphometrical attributes from chicken using the slow and rapid growth of primary and secondary feathers patterns and linear discriminant analysis models. Based on the area formed with the superior points of each feather, the technique is capable to determine the sex of day-old chickens with an accuracy of 94.4%, providing a cheap, non-invasive, and high accurate technique that could be implemented onto a dedicated and automated system.","PeriodicalId":15073,"journal":{"name":"Journal of Applied Research and Technology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45662415","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-31DOI: 10.22201/icat.24486736e.2022.20.5.1419
J. Lai, Kunashiny Ramash, C. Ratnam, R. Baini, Nur Amalina Shairah Abdul Samat, S. Sar-ee
This study was to develop a radiation sterilized polypropylene/ethylene-propylene diene monomer (PP/EPDM) binary blends using melt blending and the mechanical properties of the blends were studied. The PP/EPDM binary blends were prepared in the ratios of 80:20, 60:40, 50:50, 40:60 and 20:80. The binary blends were then compressed for 12 minutes using the Hot and Cold Press machine and were cut into 1mm, 3mm and 6mm thickness for tensile test, impact test, hardness test and Fourier Transform Infrared Spectroscopy analysis. The results showed that higher EPDM content binary blends were more elastic and had better energy absorption compared to lower EPDM ratio binary blends. With the introduction of 100kGy radiation dose, the binary blends performed better in Young modulus with crosslinking formed within the molecules. Among the PP/EPDM binary blends, 20:80 PP/EPDM blends performed the best in both physical and mechanical properties. This binary blend was suitable for medical devices.
{"title":"Physico-Mechanical Properties Polypropylene/Ethylene-Propylene Diene Monomer (PP/EPDM) Binary Blends","authors":"J. Lai, Kunashiny Ramash, C. Ratnam, R. Baini, Nur Amalina Shairah Abdul Samat, S. Sar-ee","doi":"10.22201/icat.24486736e.2022.20.5.1419","DOIUrl":"https://doi.org/10.22201/icat.24486736e.2022.20.5.1419","url":null,"abstract":"This study was to develop a radiation sterilized polypropylene/ethylene-propylene diene monomer (PP/EPDM) binary blends using melt blending and the mechanical properties of the blends were studied. The PP/EPDM binary blends were prepared in the ratios of 80:20, 60:40, 50:50, 40:60 and 20:80. The binary blends were then compressed for 12 minutes using the Hot and Cold Press machine and were cut into 1mm, 3mm and 6mm thickness for tensile test, impact test, hardness test and Fourier Transform Infrared Spectroscopy analysis. The results showed that higher EPDM content binary blends were more elastic and had better energy absorption compared to lower EPDM ratio binary blends. With the introduction of 100kGy radiation dose, the binary blends performed better in Young modulus with crosslinking formed within the molecules. Among the PP/EPDM binary blends, 20:80 PP/EPDM blends performed the best in both physical and mechanical properties. This binary blend was suitable for medical devices.","PeriodicalId":15073,"journal":{"name":"Journal of Applied Research and Technology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45681578","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-31DOI: 10.22201/icat.24486736e.2022.20.5.1310
Jayaganesh Jagannathan, M. Parvees
Information security is the set of forms that secure data faraway from illegal connection, revelation, duplication, alteration. As of late, increasingly legitimate frameworks such as resourceful inter and intra urban city, remote sensor systems, authentication digital signature frameworks, and superintendence, have recently needed data security affirmations. Hence, over the past researches numerous diverse strategies focused on cognitive intelligence are created for data security. In any case, there are not complete reviews which recapitulate strategies. In this way, this document surveyed on cognitive intelligence move toward presented on publications and symposiums for data security within most recent years. This article gives a precise review to audit various cognitive intelligence access and applications of data security. In additionally, deliberate the threat of cognitive intelligence access and applications for data security is conferred.
{"title":"Cognitive Intelligence for Interrogation and Inflation of Information Security: A Survey","authors":"Jayaganesh Jagannathan, M. Parvees","doi":"10.22201/icat.24486736e.2022.20.5.1310","DOIUrl":"https://doi.org/10.22201/icat.24486736e.2022.20.5.1310","url":null,"abstract":"Information security is the set of forms that secure data faraway from illegal connection, revelation, duplication, alteration. As of late, increasingly legitimate frameworks such as resourceful inter and intra urban city, remote sensor systems, authentication digital signature frameworks, and superintendence, have recently needed data security affirmations. Hence, over the past researches numerous diverse strategies focused on cognitive intelligence are created for data security. In any case, there are not complete reviews which recapitulate strategies. In this way, this document surveyed on cognitive intelligence move toward presented on publications and symposiums for data security within most recent years. This article gives a precise review to audit various cognitive intelligence access and applications of data security. In additionally, deliberate the threat of cognitive intelligence access and applications for data security is conferred.","PeriodicalId":15073,"journal":{"name":"Journal of Applied Research and Technology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46981353","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-31DOI: 10.22201/icat.24486736e.2022.20.5.1920
N. Ahmed, A. Humaidi, A. Sabah
The design and study of the Active Disturbance Rejection Control (ADRC) approach for control and disturbance rejection for lower knee rehabilitation utilizing a residential exoskeleton system are provided in this paper. Linear ADRC (LADRC) and Nonlinear ADRC (NADRC) are two controllers that are considered for control purposes based on the structure of ADRC. The contrasts between them are thoroughly discussed in this work. The LADRC is made up of a tracking differential (TD), a linear proportional derivative (LPD) controller, and a linear extended state observer (LESO), whereas the NADRC is made up of the same LESO but with a nonlinear PD (NPD) and a modified optimized TD (MTD). In terms of robustness against the ability to reject applied disturbances, a comparison of LADRC and NADRC has been done. The fundamental challenge with ADRC is that its constituent parameters must be fine-tuned. Grey Wolf Optimizer (GWO) has been proposed for tuning the parameters of ADRC to have the least amount of error variation in order to improve the controlled system's dynamic performance. When a prescribed disturbing torque is applied, the results of a MATLAB simulation show that the LADRC has greater disturbance rejection capabilities than the NADRC.
{"title":"Clinical Trajectory control for lower Knee rehabilitation using ADRC method","authors":"N. Ahmed, A. Humaidi, A. Sabah","doi":"10.22201/icat.24486736e.2022.20.5.1920","DOIUrl":"https://doi.org/10.22201/icat.24486736e.2022.20.5.1920","url":null,"abstract":"The design and study of the Active Disturbance Rejection Control (ADRC) approach for control and disturbance rejection for lower knee rehabilitation utilizing a residential exoskeleton system are provided in this paper. Linear ADRC (LADRC) and Nonlinear ADRC (NADRC) are two controllers that are considered for control purposes based on the structure of ADRC. The contrasts between them are thoroughly discussed in this work. The LADRC is made up of a tracking differential (TD), a linear proportional derivative (LPD) controller, and a linear extended state observer (LESO), whereas the NADRC is made up of the same LESO but with a nonlinear PD (NPD) and a modified optimized TD (MTD). In terms of robustness against the ability to reject applied disturbances, a comparison of LADRC and NADRC has been done. The fundamental challenge with ADRC is that its constituent parameters must be fine-tuned. Grey Wolf Optimizer (GWO) has been proposed for tuning the parameters of ADRC to have the least amount of error variation in order to improve the controlled system's dynamic performance. When a prescribed disturbing torque is applied, the results of a MATLAB simulation show that the LADRC has greater disturbance rejection capabilities than the NADRC.","PeriodicalId":15073,"journal":{"name":"Journal of Applied Research and Technology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44111042","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：