JOURNAL OF ADVANCED APPLIED SCIENTIFIC RESEARCH最新文献_第5页

Nutritional Assessment on Brown Macro algae Lobophora variegata from GOMBR, Tamil Nadu, India 印度泰米尔纳德邦GOMBR褐藻的营养评价

JOURNAL OF ADVANCED APPLIED SCIENTIFIC RESEARCH Pub Date : 2022-07-04 DOI: 10.46947/joaasr422022157

N. P, A. L, Kokila P, V. M, M. P., M. A

{"title":"Nutritional Assessment on Brown Macro algae Lobophora variegata from GOMBR, Tamil Nadu, India","authors":"N. P, A. L, Kokila P, V. M, M. P., M. A","doi":"10.46947/joaasr422022157","DOIUrl":"https://doi.org/10.46947/joaasr422022157","url":null,"abstract":"Nutrition is very important to all living organisms and human beings obtained range of nutrition from different resources. Despite this fact, marine natural resources provide unique nutrition to human society. Based on that reason, the present study was conducted to analysis nutritional profile of brown seaweed Lobophora variegata (J.V. Lamouroux) Womersley ex. Oliveira collected from the Gulf of Mannar Biosphere, Tamil Nadu, India. The proximate composition (moisture, ash, protein, lipid, carbohydrate, and dietary fiber, mineral, amino acid , fatty acid and antioxidant activity (2-dipheny- 1 – picrylhydrazyl (DPPH) and Reducing power assays) of L.veriegata. The result indicated that the maximum concentration of protein (34.09 ± 0.95 mg/100g), carbohydrate (28.81 ± 0.07 mg/100g) and total dietary fiber (2.53 ± 0.037 mg/100g) soluble fiber (1.28 ± 0.07 mg/100g) and insoluble fiber (1.50 ± 0.07 mg/100g) recorded in the brown algae L. variegata. The mineral content of L. variegata exhibits high amount of minerals, such as Magnesium (1712.6 ± 16.75 mg/100g DW), Phosphorus (1477.3 ± 4.49 mg/100g DW), Potassium (1078.3 ± 6.23 mg/100g), Sodium (916.6 ± 4.47 mg/100g), Iron (913.6 ± 4.49 mg/100g DW), Zinc (813.6 ± 12.47 mg/100g) and Copper (427.3 ± 5.24 mg/100g DW). Fatty acid profile of docosahexaenoic acid (5.89 ± 0.021mg) and palmitic methyl ester (5.33 ±0.09 mg) were predominantly found in L. variegata. Finally the amino acids are essential (12.43±0.04 mg/g) and non essential (16.99±0.05 mg/g) respectively. DPPH scavenging of Ic50 (175.41µg /ml,) and reducing powder (186.26µg /ml) respectively. According to the current findings, brown seaweed, L. variegata, appears to be a viable marine natural resource for generating innovative nutraceutical and antioxidant products.","PeriodicalId":274343,"journal":{"name":"JOURNAL OF ADVANCED APPLIED SCIENTIFIC RESEARCH","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129542135","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}

引用次数: 0

Dementia Detection Using LSTM and GRU 基于LSTM和GRU的痴呆检测

JOURNAL OF ADVANCED APPLIED SCIENTIFIC RESEARCH Pub Date : 2022-04-07 DOI: 10.46947/joaasr412022226

Neha Shivhare, Shanti Rathod, M. R. Khan

{"title":"Dementia Detection Using LSTM and GRU","authors":"Neha Shivhare, Shanti Rathod, M. R. Khan","doi":"10.46947/joaasr412022226","DOIUrl":"https://doi.org/10.46947/joaasr412022226","url":null,"abstract":"Neuro-degenerative infections, like dementia, can affect discourse, language, and the ability of correspondence.A new report to work on the precision of dementia identification examined the utilization of conversation analysis(CA) of meetings between patients and nervous system specialists to recognize reformist neuro-degenerative(ND) memory issues patients and those with (non-reformist) FMD (Functional Memory Disorder). In any case,manual CA is expensive for routine clinical use and hard proportional. In this work, we present an early dementiadiscovery framework utilizing discourse acknowledgment and examination dependent on NLP method andacoustic component handling strategy apply on various element extraction and learning using LSTM (LongShort-Term Memory) and GRU which strikingly catches the transient provisions and long haul conditions fromauthentic information to demonstrate the abilities of grouping models over a feed-forward neural organization inestimating discourse investigation related issues. Dementia dataset is taken where the audio file is considered forspeech recognition analysis on basis of that data is generated and it is predefined given in dementia data databank.That audio file is converted to text based on speech analysis. Using LSTM and GRU gives efficient results.","PeriodicalId":274343,"journal":{"name":"JOURNAL OF ADVANCED APPLIED SCIENTIFIC RESEARCH","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122343599","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}

引用次数: 0

Automation of Refrigeration Systems for Extending Shelf life of Fruits and Vegetables in Remote Areas for Economically Weaker Section 为经济薄弱地区延长边远地区果蔬保质期的自动化制冷系统

JOURNAL OF ADVANCED APPLIED SCIENTIFIC RESEARCH Pub Date : 2022-04-07 DOI: 10.46947/joaasr412022229

Charu Pathak, Shruti Vashist

{"title":"Automation of Refrigeration Systems for Extending Shelf life of Fruits and Vegetables in Remote Areas for Economically Weaker Section","authors":"Charu Pathak, Shruti Vashist","doi":"10.46947/joaasr412022229","DOIUrl":"https://doi.org/10.46947/joaasr412022229","url":null,"abstract":"India is an agricultural country. During lockdown, there had been a big problem transporting the productionto cold storages. Considering the problem of villagers, a low cost and affordable refrigeration system is proposedhere. The time and cost of transportation through the cold chain and the storage are thus saved. This cold storageis automated to control the environmental conditions suitable for extending life of fruits and vegetables. It uses amicrocontroller to control humidity, temperature and CO2 level which is appropriate for the commodity to bestored by the farmer. It alerts the farmer before the expiry date of the stored commodity through a message on thephone number linked with the storage. It uses the water obtained from condensation on cooling ducts for humiditycontrol. To maintain the optimum level of CO2 inside the chamber, fresh air is circulated at regular intervals oftime. It consumes same power as a refrigerator would consume. It does not require continuous water supply orammonia as in regular cold storage systems. It can be easily customized for a particular user.","PeriodicalId":274343,"journal":{"name":"JOURNAL OF ADVANCED APPLIED SCIENTIFIC RESEARCH","volume":"194 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132797260","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}

引用次数: 0

A Systematic Study and Empirical Analysis of Lip Reading Models using Traditional and Deep Learning Algorithms 基于传统和深度学习算法的唇读模型系统研究与实证分析

JOURNAL OF ADVANCED APPLIED SCIENTIFIC RESEARCH Pub Date : 2022-04-07 DOI: 10.46947/joaasr412022231

R. Sangeetha, D. Malathi

{"title":"A Systematic Study and Empirical Analysis of Lip Reading Models using Traditional and Deep Learning Algorithms","authors":"R. Sangeetha, D. Malathi","doi":"10.46947/joaasr412022231","DOIUrl":"https://doi.org/10.46947/joaasr412022231","url":null,"abstract":"Despite the fact that there are many applications for analyzing and recreating the audio through existinglip movement recognition, the researchers have shown the interest in developing the automatic lip-readingsystems to achieve the increased performance. Modelling of the framework has been playing a major role inadvance yield of sequential framework. In recent years there have been lot of interest in Deep Neural Networks(DNN) and break through results in various domains including Image Classification, Speech Recognition andNatural Language Processing. To represents complex functions DNNs are used and also they play a vital rolein Automatic Lip Reading (ALR) systems. This paper mainly focuses on the traditional pixel, shape and mixedfeature extractions and their improved technologies for lip reading recognitions. It highlights the mostimportant techniques and progression from end-to-end deep learning architectures that were evolved duringthe past decade. The investigation points out the voice-visual databases that are used for analyzing and trainthe system with the most common words and the count of speakers and the size, length of the language andtime duration. On the flip side, ALR systems developed were compared with their old-style systems. Thestatistical analysis is performed to recognize the characters or numerals and words or sentences in English andcompared their performances.","PeriodicalId":274343,"journal":{"name":"JOURNAL OF ADVANCED APPLIED SCIENTIFIC RESEARCH","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130791631","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}

引用次数: 0

Packrat Parsing with Dynamic Buffer Allocation 动态缓冲区分配的包解析

JOURNAL OF ADVANCED APPLIED SCIENTIFIC RESEARCH Pub Date : 2022-04-07 DOI: 10.46947/joaasr412022227

Nikhil Mangrulkar, Kavita Singh, Mukesh Raghuwanshi

引用次数: 1

Boron Nanoparticle Image Analysis using Machine Learning Algorithms 利用机器学习算法分析纳米硼颗粒图像

JOURNAL OF ADVANCED APPLIED SCIENTIFIC RESEARCH Pub Date : 2022-04-07 DOI: 10.46947/joaasr412022223

Parashuram Bannigidad, Namita Potraj, Prabhuodeyara. M, Gurubasavaraj, Lakkappa.B.Anigol

{"title":"Boron Nanoparticle Image Analysis using Machine Learning Algorithms","authors":"Parashuram Bannigidad, Namita Potraj, Prabhuodeyara. M, Gurubasavaraj, Lakkappa.B.Anigol","doi":"10.46947/joaasr412022223","DOIUrl":"https://doi.org/10.46947/joaasr412022223","url":null,"abstract":"The effort of digital image processing involves efficient computation aimed at developing an economical, fasterand more accurate, and cost-effective automated system. The objective of this paper is to ascertain and categorizeBoron nanoparticles (BNP) using digital image processing techniques. The spatial features are unsheathed fromthe Boron nanoparticle Transmission Electron Microscope (TEM) images using different segmentationtechniques, namely; Fuzzy C -means (FCM) and K-means. The size of Boron nanoparticles is determined andcategorized based on the area(size) in the microsize.The synthesization and characterization of Boronnanoparticles play an important role as an elementary procedure for the formation of Boron nanoparticles. Theresults are analyzed, interpreted and comparison is done with the manual values to observe the efficacy of theresults. It is observed that the K-means segmentation technique yields a smaller amountof error (5.87%) ascompared with Fuzzy C-mean(16.78%). Hence, it is considered that the K-Means is the most relevantsegmentation technique for Boron nanoparticle image analysis and categorization. The statistical test ofsignificance is applied using the Chi-square testing method (at 5% of significance level) to check the relationshipbetween the manual results and the algorithm results.The proposed study also establishes collaborative researchwork between Chemistry and Computer Science departments to develop computational research on theseplatforms.","PeriodicalId":274343,"journal":{"name":"JOURNAL OF ADVANCED APPLIED SCIENTIFIC RESEARCH","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126946981","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}

引用次数: 1

Intelligent Medicine Kit for Healthcare Monitoring, An IOT Based Solution 用于医疗监控的智能医疗套件，基于物联网的解决方案

JOURNAL OF ADVANCED APPLIED SCIENTIFIC RESEARCH Pub Date : 2022-04-07 DOI: 10.46947/joaasr412022224

Shailja Gupta, Sameer Gupta

{"title":"Intelligent Medicine Kit for Healthcare Monitoring, An IOT Based Solution","authors":"Shailja Gupta, Sameer Gupta","doi":"10.46947/joaasr412022224","DOIUrl":"https://doi.org/10.46947/joaasr412022224","url":null,"abstract":"Increase in chronic diseases worldwide demands efficient healthcare solutions for maintaining well-beingof people. Treatment requires timely in-take of medicines and strict adherence to routine. This lack of adherenceis estimated to cause many deaths and hospitalizations. If we can get people to take their medications regularly,they won’t develop complications. In addition to improving patient outcomes, medication adherence will reducehealth care costs associated with these conditions. Healthcare monitoring solutions based on Internet of Things(IoT) technology has drawn significant research attention. This paper proposes an IoT based user configurablecustomized intelligent medicine kit augmented with Wi-Fi and Bluetooth Low Energy technologies. It hascapability to detect whether patient is taking all prescribed medicines on fix schedule and intelligentlycommunicates the same to patient and their close relatives using uniquely created Four Tier Notification System(FTNS), thus helping patient to live a healthy life. The paper discusses a novel theme on the functioning of amedical grade device which would consume information from sensor and send it to the central server with amaximum possibility of success using Four Tier Notification System (FTNS). This novel approach discusseshandshaking of connection to the central serve with a fallback mechanism to achieve maximum success of datasynchronization. This paper also discusses how this useful data from medicine kit can help healthcare sector toclosely track patient's physical activities and helps to influence the way healthcare sector operates in future.","PeriodicalId":274343,"journal":{"name":"JOURNAL OF ADVANCED APPLIED SCIENTIFIC RESEARCH","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114216868","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}

引用次数: 0

On the Real Time Object Detection and Tracking 实时目标检测与跟踪

JOURNAL OF ADVANCED APPLIED SCIENTIFIC RESEARCH Pub Date : 2022-04-07 DOI: 10.46947/joaasr412022228

Praful V. Barekar, Kavita R. Singh, Shailesh D. Kamble, Bhagyashree V. Ambulkar

{"title":"On the Real Time Object Detection and Tracking","authors":"Praful V. Barekar, Kavita R. Singh, Shailesh D. Kamble, Bhagyashree V. Ambulkar","doi":"10.46947/joaasr412022228","DOIUrl":"https://doi.org/10.46947/joaasr412022228","url":null,"abstract":"Object detection and tracking is widely used for detecting motions of objects present in images and video.Since last so many decades, numerous real time object detection and tracking methods have been proposed byresearchers. The proposed methods for objects to be tracked till date require some preceding informationassociated with moving objects. In real time object detection and tracking approach segmentation is the initialtask followed by background modeling for the extraction of predefined information including shape of the objects,position in the starting frame, texture, geometry and so on for further processing of the cluster pixels and videosequence of these objects. The object detection and tracking can be applied in the fields like computerized videosurveillance, traffic monitoring, robotic vision, gesture identification, human-computer interaction, militarysurveillance system, vehicle navigation, medical imaging, biomedical image analysis and many more. In thispaper we focus detailed technical review of different methods proposed for detection and tracking of objects. Thecomparison of various techniques of detection and tracking is the purpose of this work.","PeriodicalId":274343,"journal":{"name":"JOURNAL OF ADVANCED APPLIED SCIENTIFIC RESEARCH","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122809126","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}

引用次数: 0

Effect of Microwaves on the pH and °Brix value of Cranberry, Grape, Blackberry and Lemon 微波对蔓越莓、葡萄、黑莓和柠檬的pH值和糖度的影响

JOURNAL OF ADVANCED APPLIED SCIENTIFIC RESEARCH Pub Date : 2022-04-07 DOI: 10.46947/joaasr412022225

Anant D. Nimkarde, Shobhika P, Gopnarayan, Kanchan S Vaidya

{"title":"Effect of Microwaves on the pH and °Brix value of Cranberry, Grape, Blackberry and Lemon","authors":"Anant D. Nimkarde, Shobhika P, Gopnarayan, Kanchan S Vaidya","doi":"10.46947/joaasr412022225","DOIUrl":"https://doi.org/10.46947/joaasr412022225","url":null,"abstract":"The microwaves find the potential capability in variety of applications, however the effects ofmicrowaves on the materials plays an important role. It is often discussed about the adverse effects ofmicrowaves on the fruits however this can be verified by considering two characteristics of fruits such as °Brixand pH value.This paper focuses on the effect of microwaves exposure on some fruits. It aims to explain theeffect of microwave heating on °Brix and pH value of the Cranberry, Grape, Blackberry and Lemon fruits.Two basic sections are considered here, one without exposure and other with exposure to microwaves.°Brixand pH values of Cranberry, Grape, Blackberry and Lemon are measured before exposure to microwaves.Brix measurement is done by the Aichose Refractometer &pH value is measured by AMT28F pH meter.Thechange in pH and °Brix value was noted for Cranberry, Grape, Blackberry and Lemon after exposure tomicrowaves for given time intervals of 5, 10, 15 and 20 seconds of heating at 700 W power. With graphicalanalysis, USDAstandards(United States Department of Agriculture) are utilized to validate the results.The°Brix and pH values for all fruits have shown the variation when exposed to microwaveshowever the °Brixand pH value were lying in the permissible limits referred by USDA standards after exposure to themicrowaves.","PeriodicalId":274343,"journal":{"name":"JOURNAL OF ADVANCED APPLIED SCIENTIFIC RESEARCH","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123542999","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}

引用次数: 1

Liver Lesions Classification System using CNN with Improved Accuracy 使用准确度提高的CNN的肝脏病变分类系统

JOURNAL OF ADVANCED APPLIED SCIENTIFIC RESEARCH Pub Date : 2022-04-07 DOI: 10.46947/joaasr412022233

Swapnil V.Vanmore, Sangeeta R.Chougule

引用次数: 0