Microbial corrosion behavior of mild steel was studied by exposing mild steel coupons in Barr’s medium inoculated with sulfate-reducing bacteria (Desulfovibrio desulphuricans). During the investigation, a considerable loss in weight and deterioration of microstructure of mild steel coupons surface was observed. Coupons were further exposed to culture media containing different concentrations of metronidazole (MNZ) and 2- methylimidazole (MIZ) inhibitors. The corrosion behavior of mild steel was measured by weight loss, electrochemical studies, and SEM. Polarization studies indicated the mixed-type behavior of these inhibitors. MNZ and MIZ exhibited 82.23 and 78.30 % inhibition efficiencies, respectively, as revealed by polarization measurements. The results show that the inhibition efficiencies increased with inhibitor concentration. The surface analysis was performed by scanning electron microscopy (SEM).
{"title":"Metronidazole and 2-Methylimidazole as Corrosion Inhibitors in Microbiologically Influenced Corrosion","authors":"J. Girase, P. Kamble, R. Dubey","doi":"10.3329/jsr.v14i2.56113","DOIUrl":"https://doi.org/10.3329/jsr.v14i2.56113","url":null,"abstract":"Microbial corrosion behavior of mild steel was studied by exposing mild steel coupons in Barr’s medium inoculated with sulfate-reducing bacteria (Desulfovibrio desulphuricans). During the investigation, a considerable loss in weight and deterioration of microstructure of mild steel coupons surface was observed. Coupons were further exposed to culture media containing different concentrations of metronidazole (MNZ) and 2- methylimidazole (MIZ) inhibitors. The corrosion behavior of mild steel was measured by weight loss, electrochemical studies, and SEM. Polarization studies indicated the mixed-type behavior of these inhibitors. MNZ and MIZ exhibited 82.23 and 78.30 % inhibition efficiencies, respectively, as revealed by polarization measurements. The results show that the inhibition efficiencies increased with inhibitor concentration. The surface analysis was performed by scanning electron microscopy (SEM).","PeriodicalId":16984,"journal":{"name":"JOURNAL OF SCIENTIFIC RESEARCH","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84024876","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 : 2022-01-01DOI: 10.37398/jsr.2022.660506
K. Abhishek, Md Zahid Ansari, R. Topno, Madhukar, D. R. Purakayastha, Hemant Mahajan, Rakesh Bihari Verma, S. Chaturvedi, Dharmendra Kumar, Vidya Nand Rabi Das, S. Sinha, K. Kunal, Chandra Shekhar Lal, K. Pandey
Anaemia is a major public problem which is a matter of great concern for developing countries. In India, about 63% of women of aged between15 to 49 years are anaemic. Anaemia has severe consequences on the growing child and pregnant women. In this study, pregnant women in the age range 18- 45 years who consulted the Kurhani PHC of Muzaffarpur district for regular antenatal check-up were recruited. The participants were grouped on the basis of age. The blood samples from the recruited subjects were collected and a complete blood profile was done. The median age of the pregnant women participants was 25 years. Among 345 participants, 95% of the participants were of the age group 18 - 30 years. A total of 156 (45%) pregnant women were found anaemic with 72 (20.03%) having mild anaemia, 76 (22.87%) with moderate anaemia and 8 (2.31%) were severely anaemic. The findings from this study reveal the status of anaemia among the pregnant women of the local population; which will be used to design further epidemiological studies, and will pave the ways to explore the various aspects of anaemia in pregnancy; thus contribute to fulfill the mandate of the setup of Model Rural Health Research Unit at Kurhani-Muzaffarpur, Bihar.
{"title":"Prevalence of anaemia in pregnant women among rural population of Kurhani block, Muzaffarpur district Bihar: A cross-sectional Primary Health Center based study","authors":"K. Abhishek, Md Zahid Ansari, R. Topno, Madhukar, D. R. Purakayastha, Hemant Mahajan, Rakesh Bihari Verma, S. Chaturvedi, Dharmendra Kumar, Vidya Nand Rabi Das, S. Sinha, K. Kunal, Chandra Shekhar Lal, K. Pandey","doi":"10.37398/jsr.2022.660506","DOIUrl":"https://doi.org/10.37398/jsr.2022.660506","url":null,"abstract":"Anaemia is a major public problem which is a matter of great concern for developing countries. In India, about 63% of women of aged between15 to 49 years are anaemic. Anaemia has severe consequences on the growing child and pregnant women. In this study, pregnant women in the age range 18- 45 years who consulted the Kurhani PHC of Muzaffarpur district for regular antenatal check-up were recruited. The participants were grouped on the basis of age. The blood samples from the recruited subjects were collected and a complete blood profile was done. The median age of the pregnant women participants was 25 years. Among 345 participants, 95% of the participants were of the age group 18 - 30 years. A total of 156 (45%) pregnant women were found anaemic with 72 (20.03%) having mild anaemia, 76 (22.87%) with moderate anaemia and 8 (2.31%) were severely anaemic. The findings from this study reveal the status of anaemia among the pregnant women of the local population; which will be used to design further epidemiological studies, and will pave the ways to explore the various aspects of anaemia in pregnancy; thus contribute to fulfill the mandate of the setup of Model Rural Health Research Unit at Kurhani-Muzaffarpur, Bihar.","PeriodicalId":16984,"journal":{"name":"JOURNAL OF SCIENTIFIC RESEARCH","volume":"134 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79457205","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 : 2022-01-01DOI: 10.37398/jsr.2022.660518
Symphony Chakraborty
Angular distribution coefficients, a2 and a4, of the ∆I = 1 γ-transitions between the α = ±1/2 signature partners of πh11/2 band in 129Cs have been estimated for different multipole mixing ratio (δ) and compared with their experimental values available in the literature. From this study, a considerable amount of the E2 admixture is found in these transitions, especially at higher angular momentum. This provides further evidence for tri-axial nuclear shapes in 129Cs.
{"title":"A study on multipole mixing ratio of γ-transitions from unfavoured to favoured signature partner of the πh11/2 band in 129Cs","authors":"Symphony Chakraborty","doi":"10.37398/jsr.2022.660518","DOIUrl":"https://doi.org/10.37398/jsr.2022.660518","url":null,"abstract":"Angular distribution coefficients, a2 and a4, of the ∆I = 1 γ-transitions between the α = ±1/2 signature partners of πh11/2 band in 129Cs have been estimated for different multipole mixing ratio (δ) and compared with their experimental values available in the literature. From this study, a considerable amount of the E2 admixture is found in these transitions, especially at higher angular momentum. This provides further evidence for tri-axial nuclear shapes in 129Cs.","PeriodicalId":16984,"journal":{"name":"JOURNAL OF SCIENTIFIC RESEARCH","volume":"21 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81843949","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 : 2022-01-01DOI: 10.37398/jsr.2022.660137
Akhilesh Kumar, Awadhesh Kumar
350 DOI: 10.37398/JSR.2022.660137 Abstract: Deciphering feelings and thoughts from a succession of words is one of the most complex and demanding undertakings. Recognizing sentiments and emotions is one of the most effective ways of expressing feelings and sentiments by writing text. It requires more interest from researchers in advancement than face or voice-based systems. Text based emotion analysis has sparked the attention of many individual researchers to continue their research into distinguishing unique emotions from natural language. The emotion recognition from text field is used in a range of applications, such as recommendation systems, cultural content services that recommend music based on a user's current emotional state, mood tracking, emotion retrieval from suicide notes, capturing emotions in multimedia tagging, detecting objectionable phrases in chats, and so on. In today's informationrich culture, smart sociotechnical systems are gaining traction, with various technologies being employed to gather data from such systems and analyze that data for useful insights into our daily activities. Recent advancements in health monitoring and communications technologies, among other noteworthy achievements, have helped sentiment identification. The trend in artificial intelligence (AI) research in recent years has been to incorporate AI techniques into daily living objects. It is well understood that AI systems will be beneficial to the majority of humans. Emotions are a collection of mental states brought on by a variety of feelings, ideas, and behaviors. People continually communicate emotional cues during the communication process; emotional awareness is vital in human interaction and in many facets of daily life. The seven emotional states (disgust, neutral, happy, sad, angry, astonished, and bored) are extensively described in this study in order to incorporate user text emotions through social media platforms using Correlation based Naive Bayes Classifier and achieve an accuracy rate of 99.99%.
{"title":"Human Sentiment Analysis on Social Media through Naïve Bayes Classifier","authors":"Akhilesh Kumar, Awadhesh Kumar","doi":"10.37398/jsr.2022.660137","DOIUrl":"https://doi.org/10.37398/jsr.2022.660137","url":null,"abstract":"350 DOI: 10.37398/JSR.2022.660137 Abstract: Deciphering feelings and thoughts from a succession of words is one of the most complex and demanding undertakings. Recognizing sentiments and emotions is one of the most effective ways of expressing feelings and sentiments by writing text. It requires more interest from researchers in advancement than face or voice-based systems. Text based emotion analysis has sparked the attention of many individual researchers to continue their research into distinguishing unique emotions from natural language. The emotion recognition from text field is used in a range of applications, such as recommendation systems, cultural content services that recommend music based on a user's current emotional state, mood tracking, emotion retrieval from suicide notes, capturing emotions in multimedia tagging, detecting objectionable phrases in chats, and so on. In today's informationrich culture, smart sociotechnical systems are gaining traction, with various technologies being employed to gather data from such systems and analyze that data for useful insights into our daily activities. Recent advancements in health monitoring and communications technologies, among other noteworthy achievements, have helped sentiment identification. The trend in artificial intelligence (AI) research in recent years has been to incorporate AI techniques into daily living objects. It is well understood that AI systems will be beneficial to the majority of humans. Emotions are a collection of mental states brought on by a variety of feelings, ideas, and behaviors. People continually communicate emotional cues during the communication process; emotional awareness is vital in human interaction and in many facets of daily life. The seven emotional states (disgust, neutral, happy, sad, angry, astonished, and bored) are extensively described in this study in order to incorporate user text emotions through social media platforms using Correlation based Naive Bayes Classifier and achieve an accuracy rate of 99.99%.","PeriodicalId":16984,"journal":{"name":"JOURNAL OF SCIENTIFIC RESEARCH","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84888370","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}
The present work analyses sensor based classification and evaluation methods for the evaluation of churna. The churna is a powdered form of Siddha medicine. The churna is evaluated based on organoleptic and physicochemical parameters. The organoleptic parameters such as color and physicochemical parameters such as moisture content value and pH value are analysed in this work. The proposed methodology facilitates the development and integration of hardware and software modules for churna identification and classification. The proposed hardware setup comprises Raspberry pi camera, color sensor, moisture sensor and pH sensor interfaced with raspberry pi 3b. Churnas are discriminated by classifying the color values using machine learning algorithms such as the Support Vector Machine (SVM) and Random Forest (RF) classifiers separately. The experimental results depict that the performance of the RF Classifier excels the SVM Classifier in churna name identification with greater accuracy, sensitivity and specificity.
{"title":"Sensor Based Classification and Evaluation Methods using Machine Learning Algorithm for the Evaluation of Indian Traditional Medicine (Siddha)","authors":"J. R. Florence, S. Priyadharsini, G. S. Chandran","doi":"10.3329/jsr.v14i1.54739","DOIUrl":"https://doi.org/10.3329/jsr.v14i1.54739","url":null,"abstract":"The present work analyses sensor based classification and evaluation methods for the evaluation of churna. The churna is a powdered form of Siddha medicine. The churna is evaluated based on organoleptic and physicochemical parameters. The organoleptic parameters such as color and physicochemical parameters such as moisture content value and pH value are analysed in this work. The proposed methodology facilitates the development and integration of hardware and software modules for churna identification and classification. The proposed hardware setup comprises Raspberry pi camera, color sensor, moisture sensor and pH sensor interfaced with raspberry pi 3b. Churnas are discriminated by classifying the color values using machine learning algorithms such as the Support Vector Machine (SVM) and Random Forest (RF) classifiers separately. The experimental results depict that the performance of the RF Classifier excels the SVM Classifier in churna name identification with greater accuracy, sensitivity and specificity.","PeriodicalId":16984,"journal":{"name":"JOURNAL OF SCIENTIFIC RESEARCH","volume":"78 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85751264","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 : 2022-01-01DOI: 10.37398/jsr.2022.660127
Surabhi Mishra, R. Chaube
In the brain, steroids are synthesized de novo from cholesterol through mechanisms which are not dependent on peripheral steroidogenic glands. These steroids, which are termed as neurosteroids accumulate within brain of several vertebrates including various teleost species. Distribution of steroids remain conserved after removal of peripheral steroids. Still a comprehensive study on the distribution of neurosteroids is lacking in the seasonal breeding teleosts. In the present study, our objective was to measure progestins (pregnenolone, progesterone, and 17-OH-progesterone) and cortisol in brain of male and female Asian stinging catfish Heteropnuestes fossilis, throughout their reproductive phases, using specific ELISA kits. Catfish H. fossilis is a seasonal breeder which serve as an excellent model to investigate physiological responses of neurosteroids and their regulatory mechanism. Our study showed that there was significant differential distribution of pregnenolone, progesterone, 17-OH-progesterone and cortisol levels with respect to season and breeding phases of the catfish. Progestins and cortisol levels are present in both male and female and varied differentially in a phase dependent manner. Among all progestins, value of pregnenolone was maximum followed by progesterone, cortisol and 17-OH-P4. The study suggested that seasonal changes in the progestins and cortisol of catfish brain may be independent of peripheral steroidogenic gland and might be important in inducing behaviour or morphological changes associated with breeding phases for regulation of reproduction.
{"title":"Dimorphic distribution of progestins and cortisol in the brain of Indian stinging catfish Heteropneustes fossilis (Bloch) during different reproductive phases","authors":"Surabhi Mishra, R. Chaube","doi":"10.37398/jsr.2022.660127","DOIUrl":"https://doi.org/10.37398/jsr.2022.660127","url":null,"abstract":"In the brain, steroids are synthesized de novo from cholesterol through mechanisms which are not dependent on peripheral steroidogenic glands. These steroids, which are termed as neurosteroids accumulate within brain of several vertebrates including various teleost species. Distribution of steroids remain conserved after removal of peripheral steroids. Still a comprehensive study on the distribution of neurosteroids is lacking in the seasonal breeding teleosts. In the present study, our objective was to measure progestins (pregnenolone, progesterone, and 17-OH-progesterone) and cortisol in brain of male and female Asian stinging catfish Heteropnuestes fossilis, throughout their reproductive phases, using specific ELISA kits. Catfish H. fossilis is a seasonal breeder which serve as an excellent model to investigate physiological responses of neurosteroids and their regulatory mechanism. Our study showed that there was significant differential distribution of pregnenolone, progesterone, 17-OH-progesterone and cortisol levels with respect to season and breeding phases of the catfish. Progestins and cortisol levels are present in both male and female and varied differentially in a phase dependent manner. Among all progestins, value of pregnenolone was maximum followed by progesterone, cortisol and 17-OH-P4. The study suggested that seasonal changes in the progestins and cortisol of catfish brain may be independent of peripheral steroidogenic gland and might be important in inducing behaviour or morphological changes associated with breeding phases for regulation of reproduction.","PeriodicalId":16984,"journal":{"name":"JOURNAL OF SCIENTIFIC RESEARCH","volume":"331 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77139226","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 : 2022-01-01DOI: 10.37398/jsr.2022.660405
Rupalee Verma, M. Agrawal, Abhay Dundung, L. Rani
Biosurfactants, the surface-active compounds are produced by a few microorganisms. As such biosurfactants are superior to synthetic surfactants in terms of cost of production and industrial application. Present study deals with the isolation, characterization, screening, and extraction of biosurfactant producing bacteria from motor oil dumped and pesticide contaminated agricultural fields of Ranchi District, Jharkhand, India. Mineral salt medium (MSM) supplemented with hydrocarbon was used for the enrichment of putative biosurfactant producers. Out of ten isolates, five isolates (F1 to F5) showed growth on hydrocarbon supplemented plate suggesting its use as main carbon source. Three isolates namely F1, F4 and F5 were from the waste oil contaminated soil and remaining two (F2 and F3) from pesticide contaminated site. Based on traditional microbiological methods, characterization and identification were made which showed that F1, F4 and F5 isolates belong to Staphylococcus aureus and F2 and F3 to Bacillus subtilis species. Biosurfactant production was tested by hemolysis, emulsification index (E24) and drop collapsing tests, results showed positive test for all the assay suggesting the potential of biosurfactant production by all the five isolates. Among all the five isolates, F1 showed maximum emulsification index (44.44%) followed by F4 (35%) both belonging to strains of Staphylococcus aureus. The remaining isolates F2, F3 and F5 also showed appreciable level of E24 (24-28%). Biosurfactants produced by all the five isolates were extracted using solvents, the dry weight showed close correlation with E24. Further work is needed to confirm the identity of all the isolates using 16S rRNA sequencing and chemical characteristics of biosurfactants employing standard analytical techniques.
{"title":"Screening of Biosurfactant Production in Bacteria Isolated from Oil and Pesticide Contaminated Soil of Ranchi District","authors":"Rupalee Verma, M. Agrawal, Abhay Dundung, L. Rani","doi":"10.37398/jsr.2022.660405","DOIUrl":"https://doi.org/10.37398/jsr.2022.660405","url":null,"abstract":"Biosurfactants, the surface-active compounds are produced by a few microorganisms. As such biosurfactants are superior to synthetic surfactants in terms of cost of production and industrial application. Present study deals with the isolation, characterization, screening, and extraction of biosurfactant producing bacteria from motor oil dumped and pesticide contaminated agricultural fields of Ranchi District, Jharkhand, India. Mineral salt medium (MSM) supplemented with hydrocarbon was used for the enrichment of putative biosurfactant producers. Out of ten isolates, five isolates (F1 to F5) showed growth on hydrocarbon supplemented plate suggesting its use as main carbon source. Three isolates namely F1, F4 and F5 were from the waste oil contaminated soil and remaining two (F2 and F3) from pesticide contaminated site. Based on traditional microbiological methods, characterization and identification were made which showed that F1, F4 and F5 isolates belong to Staphylococcus aureus and F2 and F3 to Bacillus subtilis species. Biosurfactant production was tested by hemolysis, emulsification index (E24) and drop collapsing tests, results showed positive test for all the assay suggesting the potential of biosurfactant production by all the five isolates. Among all the five isolates, F1 showed maximum emulsification index (44.44%) followed by F4 (35%) both belonging to strains of Staphylococcus aureus. The remaining isolates F2, F3 and F5 also showed appreciable level of E24 (24-28%). Biosurfactants produced by all the five isolates were extracted using solvents, the dry weight showed close correlation with E24. Further work is needed to confirm the identity of all the isolates using 16S rRNA sequencing and chemical characteristics of biosurfactants employing standard analytical techniques.","PeriodicalId":16984,"journal":{"name":"JOURNAL OF SCIENTIFIC RESEARCH","volume":"31 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73139923","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 : 2022-01-01DOI: 10.37398/jsr.2022.660133
Ishita Jain, Sanjay Sharma
307 DOI: 10.37398/JSR.2022.660133 Abstract: Visual tracking is an implementation of moving object tracing from deep machine learning methods where system initially set the object and generate a unique identification or pattern for tracking the moving object at each frame of a video. Object tracking is the undertaking of automatically distinguishing objects in a video and deciphering them as a bunch of directions with high accuracy. This paper intended to propose a SiamRPN network which has been considered as offline network with having very large dataset. In this network there are so many sub networks are available to extract the features along with regression and classification. Here the Siamese-RPN++ has been reconciled with Yolo-v3 which is an object detection approach that enhances the feature extraction model for better visual tracking analysis. Prior recognition frameworks repurpose the classifiers or localizers to perform feature extraction. It applies the model to an image at various areas even while object scaling. System has been tested with various datasets/benchmarks including OTB50 and OTB100 and achieved 91.17 & 89.98 resp. percent of accuracies.
{"title":"Convolutional Siamese-RPN++ and Yolo-v3 based Visual Tracking Regression","authors":"Ishita Jain, Sanjay Sharma","doi":"10.37398/jsr.2022.660133","DOIUrl":"https://doi.org/10.37398/jsr.2022.660133","url":null,"abstract":"307 DOI: 10.37398/JSR.2022.660133 Abstract: Visual tracking is an implementation of moving object tracing from deep machine learning methods where system initially set the object and generate a unique identification or pattern for tracking the moving object at each frame of a video. Object tracking is the undertaking of automatically distinguishing objects in a video and deciphering them as a bunch of directions with high accuracy. This paper intended to propose a SiamRPN network which has been considered as offline network with having very large dataset. In this network there are so many sub networks are available to extract the features along with regression and classification. Here the Siamese-RPN++ has been reconciled with Yolo-v3 which is an object detection approach that enhances the feature extraction model for better visual tracking analysis. Prior recognition frameworks repurpose the classifiers or localizers to perform feature extraction. It applies the model to an image at various areas even while object scaling. System has been tested with various datasets/benchmarks including OTB50 and OTB100 and achieved 91.17 & 89.98 resp. percent of accuracies.","PeriodicalId":16984,"journal":{"name":"JOURNAL OF SCIENTIFIC RESEARCH","volume":"106 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80425803","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 : 2022-01-01DOI: 10.37398/jsr.2022.660101
D. Pandit
1 DOI: 10.37398/JSR.2022.660101 Abstract:The Malanjkhand copper deposit is formed due to hydrothermal processes by scavenging metals from the surrounding granitoids. Present study is based on the field observations, quartz recrystallization texture, ore petrography and stress-strain measurements using High-Resolution X-ray Diffractometry (HRXRD) techniques. Field investigation and quartz recrystallization texture suggest that extensively deformed quartz reef has under gone multiple episodes of tectonic activitiesthat experienced external stress between 12 MPa to 386 MPa in the shallow crustal level. Inhomogeneous strain localization with variable magnitude measured on the quartz samples from the Malanjkhand, up to 2×10με was recorded along 45 to 75 from normal to the strike of the quartz reef due to external stress. The measured strain-rates in the quartz reef have higher values than the geological strain-rates within the range 1.78×10 s at 250 C to 1.74×10s at 400C. The long-term crustal scale multiple episodes of tectonic events that lead to the development of CIS also show their imprint on the ore bearing quartz reef that results ingrowth of the arcuate shape at the Malanjkhand copper deposit.
摘要Malanjkhand铜矿床是由热液作用从周围花岗岩中清除金属形成的。本研究基于野外观测、石英再结晶结构、矿石岩相学和高分辨率x射线衍射(HRXRD)技术的应力应变测量。野外调查和石英重结晶结构表明，石英礁在地壳浅层经历了多次剧烈变形的构造活动，在12 ~ 386 MPa的范围内受到了外部应力的影响。在Malanjkhand的石英样品上测量到，在石英礁从正常到走向的45 ~ 75处，由于外部应力的影响，在2×10με处记录到变量级的不均匀应变局部化。石英礁中实测应变率在250℃1.78×10 s ~ 400℃1.74×10s范围内均高于地质应变率。长期的地壳尺度的多期构造事件导致了独角体的发育，也在含矿石英礁上留下了印记，导致了马兰杰坎德铜矿床的弧形发育。
{"title":"Application of High-Resolution X-ray Diffractometry in Measurements of Residual Stress and Strain Rate on Deformed Quartz from Malanjkhand Copper Deposit, India","authors":"D. Pandit","doi":"10.37398/jsr.2022.660101","DOIUrl":"https://doi.org/10.37398/jsr.2022.660101","url":null,"abstract":"1 DOI: 10.37398/JSR.2022.660101 Abstract:The Malanjkhand copper deposit is formed due to hydrothermal processes by scavenging metals from the surrounding granitoids. Present study is based on the field observations, quartz recrystallization texture, ore petrography and stress-strain measurements using High-Resolution X-ray Diffractometry (HRXRD) techniques. Field investigation and quartz recrystallization texture suggest that extensively deformed quartz reef has under gone multiple episodes of tectonic activitiesthat experienced external stress between 12 MPa to 386 MPa in the shallow crustal level. Inhomogeneous strain localization with variable magnitude measured on the quartz samples from the Malanjkhand, up to 2×10με was recorded along 45 to 75 from normal to the strike of the quartz reef due to external stress. The measured strain-rates in the quartz reef have higher values than the geological strain-rates within the range 1.78×10 s at 250 C to 1.74×10s at 400C. The long-term crustal scale multiple episodes of tectonic events that lead to the development of CIS also show their imprint on the ore bearing quartz reef that results ingrowth of the arcuate shape at the Malanjkhand copper deposit.","PeriodicalId":16984,"journal":{"name":"JOURNAL OF SCIENTIFIC RESEARCH","volume":"35 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86377733","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}
The conventional air-conditioning system suffers from (i) harmonic distortion at the input ac side due to extensive use of nonlinear loads and (ii) not being friendly with the environment and climate. In this paper, a conventional air conditioning system (ACS), which uses a single-phase ac supply, is replaced by a solar-powered ACS to mitigate mentioned shortcomings. Due to the non-availability of solar energy during night/low-intensity levels, a battery and a dc-dc converter are used to maintain constant voltage, a prime requirement for ACS. Further, if an ac supply is used during the daytime, the battery is not required. Thus, a self-sustained solar-powered air conditioner of a capacity of 1.5 tons is designed here. The solar system is designed using Simulink, and various parameters such as torque and speed are being measured to study & analyze the solar-based ACS. The designed air conditioner gives an acceptable performance despite the variation of solar irradiations.
{"title":"Performance Assessment of Solar based Air Conditioning System","authors":"S. Mishra, Sumeet Singh","doi":"10.3329/jsr.v14i1.54429","DOIUrl":"https://doi.org/10.3329/jsr.v14i1.54429","url":null,"abstract":"The conventional air-conditioning system suffers from (i) harmonic distortion at the input ac side due to extensive use of nonlinear loads and (ii) not being friendly with the environment and climate. In this paper, a conventional air conditioning system (ACS), which uses a single-phase ac supply, is replaced by a solar-powered ACS to mitigate mentioned shortcomings. Due to the non-availability of solar energy during night/low-intensity levels, a battery and a dc-dc converter are used to maintain constant voltage, a prime requirement for ACS. Further, if an ac supply is used during the daytime, the battery is not required. Thus, a self-sustained solar-powered air conditioner of a capacity of 1.5 tons is designed here. The solar system is designed using Simulink, and various parameters such as torque and speed are being measured to study & analyze the solar-based ACS. The designed air conditioner gives an acceptable performance despite the variation of solar irradiations.","PeriodicalId":16984,"journal":{"name":"JOURNAL OF SCIENTIFIC RESEARCH","volume":"19 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82732050","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}
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