January-2021最新文献_第2页

WATER TANK AS A TUNED MASS DAMPER 水箱作为调谐质量阻尼器

January-2021 Pub Date : 1900-01-01 DOI: 10.29121/ijesrt.v10.i1.2021.1

引用次数: 0

INVESTIGATION OF Cr (VI) IONS ADSORPTIVE REMOVAL FROM AQUEOUS SOLUTION ONTO TiO2-AC COMPOSITE: NON-LINEAR EQUILIBRIUM MODELING AND KINETICS. TiO2-AC复合材料对水溶液中Cr (VI)离子吸附去除的研究:非线性平衡模型和动力学。

January-2021 Pub Date : 1900-01-01 DOI: 10.29121/ijesrt.v10.i1.2021.3

{"title":"INVESTIGATION OF Cr (VI) IONS ADSORPTIVE REMOVAL FROM AQUEOUS SOLUTION ONTO TiO2-AC COMPOSITE: NON-LINEAR EQUILIBRIUM MODELING AND KINETICS.","authors":"","doi":"10.29121/ijesrt.v10.i1.2021.3","DOIUrl":"https://doi.org/10.29121/ijesrt.v10.i1.2021.3","url":null,"abstract":"The present work dedicated to the removal of Cr(VI) ions in aqueous solution onto a synthetized TiO2-AC composite. Composite characterization was carried out by determining of the point of zero charge pHpzc, iodine number, methylene blue index and FT-IR spectra. Adsorption experiments were conducted in batch mode and the influences of composite quantity, contact time, Cr(VI) ions concentration, ionic strength, and pH were studied. The highest adsorption were obtained in acid medium, with lowest adsorbent quantity (0.01 g) and initial solution concentration of 10 ppm. The results of kinetic studies revealed that Cr(VI) adsorption process on TiO2-AC composite followed pseudo second-order kinetic model. Non-linear regression was applied to equilibrium data and Langmuir, Freundlich, Dubinin-Radushkevich, and Temkin isotherm models were used for evaluation of adsorption parameters. The best-ﬁtting was estimated based on correlation coefficient R2 value and the calculation of error deviations between experimental and predicted equilibrium adsorption data, using non-linear analysis. The results showed that Freundlich model describing adsorption process the best. The isotherm parameters from Langmuir and Freundlich models revealed that Cr(VI) adsorption mechanism on the composite is linear, spontaneous, and endothermic follows chemisorption process.","PeriodicalId":320722,"journal":{"name":"January-2021","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126238996","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: 2

CAUSES OF DELAY AND SUGGESTED IMPROVEMENT IN INFRASTRUCTURE PROJECT IN INDIA. 印度基础设施项目延误的原因和建议改进。

January-2021 Pub Date : 1900-01-01 DOI: 10.29121/ijesrt.v10.i1.2021.4

引用次数: 0

ANALYSIS PERFORMANCE OF LARGE SCALE GRID CONNECTED PV POWER PLANTS IN THE TROPICAL REGION. 热带地区大型并网光伏电站性能分析。

January-2021 Pub Date : 1900-01-01 DOI: 10.29121/ijesrt.v10.i1.2021.5

引用次数: 0

RESEARCH ON ELECTRICAL PRODUCTION OF MULTI-PURPOSE SUSTAINABLE DAMS IN THE WORLD 国际上多用途可持续水坝发电研究

January-2021 Pub Date : 1900-01-01 DOI: 10.29121/ijesrt.v10.i1.2021.16

引用次数: 1

A REVIEW ON β-ESCIN β-叶鞘素研究进展

January-2021 Pub Date : 1900-01-01 DOI: 10.29121/ijmrps.v8.i1.2020.2

引用次数: 6

DETERMINING VERTICAL WIND SPEED PROFILE IN THE ATMOSPHERIC LIMIT LAYER ON THE OUAHIGOUYA SITE IN BURKINA FASO. 测定布基纳法索瓦希古亚站点大气极限层垂直风速廓线。

January-2021 Pub Date : 1900-01-01 DOI: 10.29121/ijesrt.v10.i1.2021.9

{"title":"DETERMINING VERTICAL WIND SPEED PROFILE IN THE ATMOSPHERIC LIMIT LAYER ON THE OUAHIGOUYA SITE IN BURKINA FASO.","authors":"","doi":"10.29121/ijesrt.v10.i1.2021.9","DOIUrl":"https://doi.org/10.29121/ijesrt.v10.i1.2021.9","url":null,"abstract":"The properties of the vertical profile of the wind speed on a monthly and annual scale at the Ouahigouya site belonging to the Sahelian climatic zone in Burkina Faso were explored in this study. To do this, wind speed and temperature data at 10 m above ground and NASA satellite data at an altitude of 50 m in the atmospheric boundary layer were used over a period of ten years. From the theory of Monin-Obukhov, the logarithmic law and the power law made it possible to develop the variation of wind speed with altitude taking into account the conditions of atmospheric stability. According to statistical performance indicators, it has been observed that the vertical profile of the wind speed adjusted according to the power law and the log-linear law corresponds to the measurements. Regarding the state of stability of the atmosphere, we note that it is generally unstable from 10:00 a.m. to 6:00 p.m. and stable during other times of the day. The annual average wind shear coefficients during the convective and night time diurnal cycle are evaluated at 0.67 and 0.7, respectively. From the power law, the values of the shear coefficients, the average vertical profile on a monthly and annual scale of the wind was obtained by extrapolation of the wind data measured at 10 m from the ground. This study is the first of its kind in this area. To assess the wind resource available on the Ouahigouya site, investors can directly use the vertical wind profile based on the power law for an altitude between 10 and 50 m.","PeriodicalId":320722,"journal":{"name":"January-2021","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130090308","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

FACE RECOGNITION TECHNIQUE FOR ATM SECURITY 人脸识别技术在ATM安全中的应用

January-2021 Pub Date : 1900-01-01 DOI: 10.29121/ijesrt.v10.i1.2021.6

引用次数: 0

DEEP LEARNING TECHNIQUE BASED TEXT EMOTION CLASSIFICATION SYSTEM USING GENETIC ALGORITHM TECHNIQUE 基于深度学习技术的文本情感分类系统采用遗传算法技术

January-2021 Pub Date : 1900-01-01 DOI: 10.29121/ijesrt.v10.i1.2021.2

{"title":"DEEP LEARNING TECHNIQUE BASED TEXT EMOTION CLASSIFICATION SYSTEM USING GENETIC ALGORITHM TECHNIQUE","authors":"","doi":"10.29121/ijesrt.v10.i1.2021.2","DOIUrl":"https://doi.org/10.29121/ijesrt.v10.i1.2021.2","url":null,"abstract":"In today’s era the research area of emotion detection has becomes trendy field of research. The data in text form is the very easy way to communicate among interaction of human-machine through the social networking sites, is one of the schemes to share users views. Recognition of human’s emotion through analyzing textual documents is useful and essential, but sometimes difficult because of the fact that it is not necessary to use emotion words directly in textual expressions. In this research, a deep learning technique based Text Emotion Classification (TEC) System using Genetic Algorithm (GA) as an optimization technique is presented. Initially, a lexicon dictionary is prepared based on the emotional words and different processes such as pre-processing, feature extraction, optimization and classification has been applied to classify the textual emotion. The test data has been trained using deep learning scheme named as Deep Neural Network (DNN) with optimization technique based on GA with a novel fitness function. The emotion; happy, sad and angry are identified as per the shared data on the social media platform. Most of the state-of-the-art in the previous research on textual emotion mining is mainly focused on without utilizing the feature selection concept, so we introduce the concept of feature selection using the GA and passes an input to DNN. At the last, we compare the performance of the proposed TEC system with existing work proposed by Chatterjee et al. terms of precision, recall and F-measure and we observed that the system got better emotion classification accuracy.","PeriodicalId":320722,"journal":{"name":"January-2021","volume":"1 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114151516","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