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The Investigation of General Properties of Carbon Fiber (CF) Composites - Preliminary Study 碳纤维(CF)复合材料综合性能的初步研究
Pub Date : 2023-04-30 DOI: 10.33736/jaspe.5528.2023
Nurul Farhana Roszaini, Siti Amira Othman
The most commonly used materials in the production of high-performance CFs are cellulose, polyacrylonitrile, and pitch. Polyacrylonitrile (PAN)-based fibers dominate the market (representing nearly 90% of total CF production), with some companies producing more than 10,000 tons per year. However, the current technique's high cost (the combined cost of the precursors and stabilization accounts for 70% of total CF synthesis cost) limits the technology's applicability. Carbon fiber manufacturing is characterized by a high energy demand due to long processing times and energy intensive thermal processes. PAN-based CFs are difficult to commercialize due to the time-consuming pre-oxidation step, which significantly raises the manufacturing cost. As a result, advanced processing technologies aimed at reducing CF production costs should be developed. They were consisting of a thin but strong crystalline filament of     carbon. This experimental study was to learn the mechanical properties of carbon fiber using Universal Testing Machine (UTM). There was a section where we made a phone case out of Polyacrylonitrile (PAN) carbon fiber and compared it to  other materials for phone cases. The phone cases of carbon fiber composites as the one examples of consumer product was made from the woven carbon fiber then was hardened by hard epoxy mixed with resin epoxy. Then, the phone cases were tested with UTM machine to compare the tensile strength and high modulus.   Other than that, there were few samples with different composition of PAN  powder mixed with different composition of sodium thiocyanate. The results of the testing shows that the carbon fiber had the high tensile strength than the other materials of phone cases which were silicone and thermoplastic polyurethanes (TPU). The microstructure of carbon fiber has a significant impact on its mechanical properties.
生产高性能碳纤维最常用的材料是纤维素、聚丙烯腈和沥青。以聚丙烯腈(PAN)为基础的纤维在市场上占据主导地位(占CF总产量的近90%),一些公司的年产量超过1万吨。然而,目前技术的高成本(前驱体和稳定的综合成本占CF合成总成本的70%)限制了该技术的适用性。碳纤维制造的特点是由于长时间的加工和能源密集型的热过程,能源需求高。pan基碳纳米管由于其预氧化过程耗时长,制造成本显著提高,难以实现商业化。因此,应开发旨在降低CF生产成本的先进加工技术。它们由薄而坚固的碳结晶丝组成。本实验是利用通用试验机(UTM)研究碳纤维的力学性能。我们用聚丙烯腈(PAN)碳纤维制作了一个手机壳,并将其与其他手机壳材料进行了比较。以消费产品碳纤维复合材料手机壳为例,以编织碳纤维为原料,用硬质环氧树脂与环氧树脂混合硬化。然后,在UTM机上对手机壳进行了拉伸强度和高模量的比较。除此之外,不同组成的PAN粉末与不同组成的硫氰酸钠混合的样品很少。测试结果表明,碳纤维的抗拉强度高于硅酮和热塑性聚氨酯(TPU)等手机壳材料。碳纤维的微观结构对其力学性能有重要影响。
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引用次数: 0
Detecting Scaling Potential in Oilfield Waters 油田水结垢潜力检测
Pub Date : 2023-04-30 DOI: 10.33736/jaspe.5092.2023
N. Ogolo, Pascal Ugwu, Martins Otokpa, Imo Ukut, Mike O Onyekonwu
Production of formation water during petroleum exploitation is sometimes inevitable, necessitating disposal strategies. Produced formation water can be re-injected back into the reservoir either for enhanced oil recovery schemes or for the purpose of disposal. In any case, there is a need to prevent scale formation because it leads to permeability impairment. In this work, formation water compatibility tests were conducted to detect scaling potentials using the Langelier Saturation Index (LSI). Six water samples were used; four produced water samples intended for use in water injection schemes and two water samples obtained from reservoirs needing water injection programs. The water composition of scale-forming elements such as barium, strontium and calcium were determined for all the samples. Other determined parameters included pH values, total dissolved solids (TDS) and LSI. The LSI for different ratios of produced and reservoir water mixtures were determined. Laboratory results indicated that all the water samples contained scale-forming elements and compounds, and they all had to scale potential at ambient temperature but especially at higher temperatures. The produced formation waters were incompatible with the reservoir waters in terms of their scale-forming tendency. To prevent scale formation, especially at higher temperatures, it was recommended that scale inhibitors be used with the least scale-forming produced water. It was also recommended that produced formation waters be subjected to fluid compatibility studies before use in water injection schemes to prevent scale formation.
在石油开采过程中,地层水的产生是不可避免的,需要采取相应的处理措施。采出的地层水可以重新注入到储层中,以提高采收率或进行处理。在任何情况下,都需要防止结垢的形成,因为结垢会导致渗透率降低。在这项工作中,利用Langelier饱和度指数(LSI)进行了地层水相容性测试,以检测结垢潜力。使用了6个水样;四个采出水样用于注水方案,两个水样来自需要注水方案的油藏。测定了所有样品中钡、锶、钙等结垢元素的水组成。其他测定的参数包括pH值、总溶解固形物(TDS)和LSI。测定了不同比例的采出水和油藏水混合物的LSI。实验结果表明,所有水样均含有结垢元素和化合物,它们在常温下均具有结垢势,在高温下尤其明显。采出地层水与储层水的结垢倾向不相容。为了防止结垢,特别是在高温下,建议将阻垢剂与结垢最少的产出水一起使用。还建议在用于注水方案之前对采出地层水进行流体相容性研究,以防止结垢。
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引用次数: 0
An in-silico Evaluation of Some Schiff bases for Their Potency Against SARS-CoV-2 Main Protease, PASS Prediction and ADMET Studies 一些希夫碱基抗SARS-CoV-2主要蛋白酶的效能的计算机评价、PASS预测和ADMET研究
Pub Date : 2023-04-30 DOI: 10.33736/jaspe.5133.2023
M. Uddin, Md. Saifur Rahman
SARS-CoV-2 has created an agonizing pandemic situation all over the world. The inhibition of SARS-CoV-2 main protease (Mpro) by the blockage of viral replication is considered an important drug target to the many researchers working to discover specific drugs for COVID-19 treatment. Schiff bases being documented to possess antimicrobial properties might be investigated as the candidate against COVID-19. Bioactivities of some symmetrical bis-Schiff bases were evaluated using computational studies on the basis of binding affinity, PASS prediction and ADMET study. On the basis of binding affinity, it is concluded that among eighteen tested ligands 2, 5, 8, 16, 17 showed excellent, ligands 4, 6, 18 showed good and the remaining ligands showed moderate inhibition against SARS-CoV-2 Mpro (6LU7) compared to a prescribed anti-Covid-19 drug, hydroxychloroquine (HCQ). PASS prediction revealed some of Schiff bases to have good anti-carcinogenic, anti-tuberculosis, antifungal, and antiviral activities. ADMET study predicted them to be non-toxic and harmless indicating that Schiff bases may act as a promising drug candidate for the treatment of COVID-19.
SARS-CoV-2在世界各地造成了令人痛苦的大流行局面。阻断病毒复制对SARS-CoV-2主蛋白酶(Mpro)的抑制被认为是许多致力于发现COVID-19治疗特异性药物的研究人员的重要药物靶点。希夫碱基被证明具有抗菌特性,可以作为抗COVID-19的候选物质进行研究。在结合亲和力、PASS预测和ADMET研究的基础上,利用计算方法评价了对称双希夫碱的生物活性。结合亲和力分析表明,18个配体中2、5、8、16、17对SARS-CoV-2 Mpro (6LU7)的抑制作用较好,4、6、18表现良好,其余配体对处方抗covid -19药物羟氯喹(HCQ)的抑制作用中等。PASS预测显示一些希夫碱基具有良好的抗癌、抗结核、抗真菌和抗病毒活性。ADMET研究预测它们无毒无害,表明希夫碱基可能作为治疗COVID-19的有希望的候选药物。
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引用次数: 0
Liquid-Liquid Extraction of Itaconic Acid from the Aqueous Phase Using Natural and Chemical Solvents 天然溶剂和化学溶剂液液萃取衣康酸的研究
Pub Date : 2023-04-30 DOI: 10.33736/jaspe.5439.2023
Vipashavi Agnihotri, Anuj Kumar, Diwakar Z. Shende, K. Wasewar
Itaconic acid, also known as methylene succinic acid, is a colorless, crystalline substance that is found in nature. Due to its two functional carboxylic acid forms and - unsaturated bond, it can be used in a variety of sectors (plastics, super-absorbents, biopolymers, anti-scaling agents, etc.). Itaconic acid can be produced via thermally decarboxylating citric acid, catalysing the condensation of succinic acid derivatives with formaldehyde, decarboxylating aconitic acid, and fermentation utilizing Aspergillus terreus and other microbes. It is quite expensive and harmful to extract itaconic acid from the fermentation broth. In the present study, Iso-butanol, iso-octanol, groundnut, soybean, mustard, and rice bran oil were incorporated as solvents for separating itaconic acid from their solutions in distilled water. Liquid-liquid extraction experiments were conducted over the range of 0.08-0.533 mol.L-1 of itaconic acid. The results thus obtained were defined as the separation efficiency (E) and distribution coefficient (KD). Separation was observed at maximum efficiencies of 69.33%, 47.8%, 12.93%, 17.9%, 15.625% & 14.18% with iso-butanol, iso-octanol groundnut, soybean, mustard, and rice bran oil respectively. Since the solvents used in this study were natural and chemical, it can be helpful to make the process more eco-friendly and the efficiency of the process can be further increased with the help of reactive extractants.
衣康酸,也被称为亚甲基琥珀酸,是一种在自然界中发现的无色结晶物质。由于其两种功能羧酸形式和-不饱和键,可用于各种领域(塑料、高吸水性、生物聚合物、防垢剂等)。衣康酸可以通过柠檬酸热脱羧、琥珀酸衍生物与甲醛催化缩合、乌头酸脱羧、利用地曲霉等微生物发酵等途径生产。从发酵液中提取衣康酸既昂贵又有害。本研究以异丁醇、异辛醇、花生、大豆、芥菜和米糠油为溶剂,在蒸馏水中分离衣康酸。对衣康酸在0.08 ~ 0.533 mol.L-1范围内进行液液萃取实验。将所得结果定义为分离效率(E)和分配系数(KD)。对异丁醇、异辛醇花生油、大豆油、芥菜油和米糠油的分离效率分别为69.33%、47.8%、12.93%、17.9%、15.625%和14.18%。由于本研究中使用的溶剂均为天然溶剂和化学溶剂,因此在活性萃取剂的帮助下,可以使工艺更加环保,并进一步提高工艺效率。
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引用次数: 0
Volumetric Properties of Binary Mixtures of 2-Ethoxyethanol and 2-Butoxyethanol with 1,4-Dioxane 2-乙氧基乙醇和2-丁氧基乙醇与1,4-二恶烷二元混合物的体积特性
Pub Date : 2023-04-30 DOI: 10.33736/jaspe.4904.2023
Mohammad Mafizur Rahman, Md. Ariful Islam, Faisal I. Chowdhury, Muhammad A. R. Khan, Shamim Akhtar
Densities, r, of 2-Ethoxyethanol (EGMEE) + 1,4-Dioxane (DXN) and  2-Butoxyethanol (EGMBE) + 1,4-Dioxane (DXN) systems have been measured in the whole range of composition at an interval of 5 K ranging from 303.15 to 323.15 K. Excess molar volumes, , partial molar volumes, , thermal expansivities,a, and excess thermal expansivities, aE, have been estimated from the experimental values of ρ. All of the derived properties have been fitted to appropriate polynomials. Values of   and aE were fitted to the Redlich-Kister polynomial equation and their variations with composition and temperature have been discussed in terms of molecular interaction in the mixtures. Values of  and aE were all positive and were attributed due to specific interactions.
2-乙氧基乙醇(EGMEE) + 1,4-二恶烷(DXN)和2-丁氧基乙醇(EGMBE) + 1,4-二恶烷(DXN)体系的密度r在整个组成范围内进行了测量,间隔为5k,范围为303.15至323.15 K。过量摩尔体积,偏摩尔体积,热膨胀率,a,和过量热膨胀率,aE,已由ρ的实验值估计。所有导出的性质都已拟合到适当的多项式上。用Redlich-Kister多项式方程拟合了和aE的值,并从混合物中分子相互作用的角度讨论了它们随组成和温度的变化。和aE的值均为正,并归因于特定的相互作用。
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引用次数: 0
Comparative Studies of RSM, RSM–GA and ANFILS for Modeling and Optimization of Naphthalene Adsorption on Chitosan–CTAB–Sodium Bentonite Clay Matrix 壳聚糖- ctab -钠基膨润土基质对萘吸附的RSM、RSM - ga和ANFILS模拟及优化研究
Pub Date : 2022-10-31 DOI: 10.33736/jaspe.4749.2022
Olaosebikan Abidoye Olafadehan, Victor Ehigimetor Bello
The aim of this article was to compare the predictive abilities of the optimization techniques of response surface methodology (RSM), the hybrid of RSM–genetic algorithm (RSM–GA) and adaptive neuro-fuzzy interference logic system (ANFILS) for design responses of % removal of naphthalene and adsorption capacity of the synthesized composite nanoparticles of chitosan–cetyltrimethylammonium bromide (CTAB)–sodium bentonite clay.  The process variables considered were surfactant concentration, , activation time, ,  activation temperature, , and chitosan dosage, .  The ANFILS models showed better modeling abilities of the adsorption data on the synthesized composite adsorbent than those of ANN for reason of lower % mean absolute deviation, lower % error value, higher coefficient of determination, , amongst others and lower error functions’ values than those obtained using ANN for both responses.  When applied RSM, the hybrid of RSM–genetic algorithm (RSM–GA) and ANFILS 3–D surface pot optimization technique to determine the optimal conditions for both responses, ANFILS was adjudged the best.  The ANFILS predicted optimal conditions were = 116.00 mg/L, = 2.06 h, = 81.2oC and = 5.20 g.  Excellent agreements were achieved between the predicted responses of 99.055% removal of naphthalene and 248.6375 mg/g adsorption capacity and their corresponding experimental values of 99.020% and 248.86 mg/g with % errors of -0.0353 and 0.0894 respectively.  Hence, in this study, ANFILS has been successfully used to model and optimize the conditions for the treatment of industrial wastewater containing polycyclic aromatic compounds, especially naphthalene and is hereby recommended for such and similar studies.
本文旨在比较响应面法(RSM)、RSM -遗传算法(RSM - ga)和自适应神经模糊干扰逻辑系统(ANFILS)优化技术对设计萘去除率的预测能力和合成的壳聚糖-十六烷基三甲基溴化铵(CTAB) -钠基膨润土复合纳米颗粒的吸附能力。考察了表面活性剂浓度、活化时间、活化温度、壳聚糖用量等工艺参数。与人工神经网络相比,ANFILS模型对合成的复合吸附剂吸附数据的建模能力更好,因为它的平均绝对偏差%更小,误差值%更小,决定系数更高,误差函数值也更小。将RSM -遗传算法(RSM - ga)与ANFILS三维表面罐优化技术相结合,确定两种响应的最优条件,最终确定ANFILS为最优响应。ANFILS预测的最佳条件为= 116.00 mg/L, = 2.06 h, = 81.2oC, = 5.20 g。预测结果表明,99.055%的萘去除率和248.6375 mg/g的吸附量与实验值99.020%和248.86 mg/g吻合良好,误差%分别为-0.0353和0.0894。因此,在本研究中,ANFILS已成功地用于模拟和优化含多环芳香族化合物特别是萘的工业废水的处理条件,并被推荐用于此类和类似的研究。
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引用次数: 0
Sound Velocities in Aqueous Solutions of n-Butylamine between 303.15 and 323.15 K: Experiment and Theory 303.15 ~ 323.15 K范围内正丁胺水溶液中的声速:实验与理论
Pub Date : 2022-10-31 DOI: 10.33736/jaspe.4636.2022
Muhammad A. R. Khan, Mohammed Sohel, Faisal I Chowdhury, Shamim Akhtar
Density (ρ) and sound velocity (u) have been measured for aqueous solutions of n-butylamine ( W + NBA) in the whole range of composition at an interval of 5 K. Deviation in Sound Velocity (∆u), Isentropic Compressibility (Ks), Excess Isentropic Compressibility (KsE), Specific Acoustic Impedance (Z), Rao's Constant (R) and Wada's Constant (W) have been calculated from measured u and ρ. ∆u versus x2 curve is negative and with the increment of temperature, ∆u decreases; Ks values of W + NBA are all positive whereas KsE values are all negative. All the above outcomes are interpreted in terms of molecular interaction especially hydrogen bonding and hydrophobic hydration between water and n-butylamine. Moreover, experimental data for u correlated with some theoretical equations. The relations are Nomoto’s Relation (uN), Impedance Relation (uIR), the Rao’s specific velocity method relation (uR), Van Deel’s ideal mixing relation (uIMR) and theoretical sound velocity according to Free Length Theory (uFLT). The validity of these relations with experimental values has been tested by measuring standard percentage deviation () and average percentage error (APE).
测定了正丁胺(W + NBA)水溶液在整个组成范围内的密度(ρ)和声速(u),测量间隔为5k。由测量的u和ρ计算出声速偏差(∆u)、等熵压缩性(Ks)、超等熵压缩性(KsE)、比声阻抗(Z)、Rao常数(R)和Wada常数(W)。∆u对x2曲线为负,且随着温度的升高,∆u减小;W + NBA的Ks值均为正,KsE值均为负。所有这些结果都可以用分子相互作用来解释,特别是水与正丁胺之间的氢键和疏水水合作用。此外,u的实验数据与一些理论方程具有相关性。这些关系分别是Nomoto关系(uN)、阻抗关系(uIR)、Rao比速法关系(uR)、Van Deel理想混合关系(uIMR)和根据自由长度理论(uFLT)建立的理论声速。通过测量标准百分比偏差()和平均百分比误差(APE)来检验这些关系与实验值的有效性。
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引用次数: 0
Identifying Urban Heat Effect through Satellite Image Analysis: Focusing on Narayanganj Upazila, Bangladesh 通过卫星图像分析识别城市热效应:以孟加拉国Narayanganj Upazila为例
Pub Date : 2022-10-31 DOI: 10.33736/jaspe.4747.2022
Md. Razzakul Islam, Md. Nazmul Haque
The rapid growth of population and land use cover change are closely connected. Narayanganj Sadar Upazila is the first Growing City in Bangladesh. Land use and land cover change are very first. Global warming, increased greenhouse gas emissions, and other environmental issues have become critical issues to address in recent times. Because of the Unplanned Expansion of urban areas, the LULC pattern is changing, and this kind of adverse (LST increasing, Heat Island Growth) impact is increasing. In this area, the amount of vegetation is decreasing day by day. The objectives of this study are to identify land use land cover (LULC) dynamics for the year 2001 to 2021, identify Urban Heat Islands from the value of land surface temperature (LST) and identify hotspots based on normalized difference vegetation index (NDVI), normalized difference built-up index (NDBI), normalized difference water index (NDWI) and land surface temperature (LST) doing weighted overlay among them.  To determine the land cover pattern, and change at Narayanganj Upazila in the years 2001, 2011, and 2021, the land cover type was divided into four categories (build-up, vegetation, water bodies, and barren soil) in geographic information system (GIS) and Earth Resources Data Analysis System (ERDAS) Imagine 2014. The overall accuracy of LULC in 2001, 2011, and 2021 was 90.08, 91.34, and 92.02, respectively. And the value of the kappa coefficient for the years 2001, 2011, and 2021 was 0.91, 0.89, and 0.90, respectively. This study demonstrates an increase of 14.22% in built-up area and destruction of 15.5% of vegetation, 3.26% of barren soil, and 1.05% of the waterbody in the previous 21 years in Narayanganj Upazila. This study will help the administration, agricultural directorates, Pourashava office, and city corporation authority to take necessary measures to mitigate the adverse impacts of land cover change. They can make new rules and regulations on the construction of buildings, restrictions on filling water bodies and measures to conserve vegetation.
人口的快速增长与土地利用覆被变化密切相关。纳拉扬甘杰·萨达尔·乌帕齐拉是孟加拉国第一个增长型城市。土地利用和土地覆盖变化是最重要的。全球变暖、温室气体排放增加以及其他环境问题已成为近年来亟待解决的重要问题。由于城市面积的无计划扩张,LULC格局正在发生变化,这种不利影响(地表温度增加、热岛增长)正在加剧。在这个地区,植被的数量正在日益减少。本研究的目的是识别2001 - 2021年土地利用土地覆盖(LULC)动态,利用地表温度(LST)值识别城市热岛,并基于归一化植被指数(NDVI)、归一化建筑指数(NDBI)、归一化水体指数(NDWI)和地表温度(LST)进行加权叠加识别热点。为了确定Narayanganj Upazila在2001年、2011年和2021年的土地覆盖格局和变化,在地理信息系统(GIS)和地球资源数据分析系统(ERDAS) Imagine 2014中,将土地覆盖类型划分为4类(堆积、植被、水体和贫瘠土壤)。2001年、2011年和2021年的总体精度分别为90.08、91.34和92.02。2001年、2011年和2021年的kappa系数分别为0.91、0.89和0.90。研究表明,在过去的21年中,纳拉扬甘杰乌帕济拉的建成区面积增加了14.22%,植被破坏了15.5%,贫瘠土壤破坏了3.26%,水体破坏了1.05%。本研究将有助于行政部门、农业主管部门、Pourashava办公室和市政当局采取必要的措施来减轻土地覆盖变化的不利影响。他们可以制定新的规章制度,对建筑物的建设,对填满水体的限制和保护植被的措施。
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引用次数: 0
In Silico Testing of Some Protected Galactopyranose as SARS-CoV-2 Main Protease Inhibitors 几种保护性半乳糖糖作为SARS-CoV-2主要蛋白酶抑制剂的计算机实验研究
Pub Date : 2022-10-31 DOI: 10.33736/jaspe.4970.2022
A. Azad, Md. Naimul Islam, Md. Atiquel Islam Chowdhury, E. Kabir
An outbreak of novel Coronavirus disease (COVID-19 or 2019-nCoV) due to the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has already demonstrated a fatal death toll all over the world. To cure this viral infection, a number of compounds of different categories have been investigated in silico. Some of the compounds showed better binding energy with COVID-19-related proteins. However, until now there is no appropriate drug except a vaccine. It was found that many antifungal drugs are used for COVID-19 patients in hospitals. Many monosaccharide esters have been reported to have antifungal potential. Thus, in the present study, some protected galactopyranose esters are chosen for molecular docking with SARS-CoV-2 main proteases (PDB id: 7BQY and 6LU7). A docking study revealed that galactopyranose esters 5-8 have very good docking scores (-8.4 to -6.5 kcal/mol) compared to the standard drugs azithromycin, remdesivir, and hydroxychloroquine. To explain such good scores interaction between amino acid residues of proteins and compounds in their docked complexes are calculated and duly discussed in this study.
由严重急性呼吸系统综合征冠状病毒-2 (SARS-CoV-2)引起的新型冠状病毒病(COVID-19或2019-nCoV)的爆发已经在世界各地造成了致命的死亡人数。为了治疗这种病毒感染,已经研究了许多不同类别的化合物。部分化合物与新冠病毒相关蛋白的结合能较好。然而,到目前为止,除了疫苗之外,没有合适的药物。调查发现,许多抗真菌药物被用于医院的COVID-19患者。据报道,许多单糖酯具有抗真菌的潜力。因此,本研究选择了一些受保护的半乳糖醛酸酯与SARS-CoV-2主要蛋白酶(PDB id: 7BQY和6LU7)进行分子对接。对接研究显示,与标准药物阿奇霉素、瑞德西韦和羟氯喹相比,半乳糖吡喃糖酯5-8具有非常好的对接评分(-8.4至-6.5 kcal/mol)。为了解释这样的好分数,计算了蛋白质和化合物的氨基酸残基之间的相互作用,并在本研究中进行了适当的讨论。
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引用次数: 0
Performance Analysis of Deep Learning based Human Activity Recognition Methods 基于深度学习的人体活动识别方法性能分析
Pub Date : 2022-10-31 DOI: 10.33736/jaspe.4639.2022
Mst. Farzana Aktter, Md Anwar Hossain, Sohag Sarker, A. Abadin, M. A. R. Hasan
Human Activity Recognition (HAR) is one of the most important branches of human-centered research activities. Along with the development of artificial intelligence, deep learning techniques have gained remarkable success in computer vision. In recent years, there is a growing interest in Human Activity Recognition systems applied in healthcare, security surveillance, and human motion-based activities. A HAR system is essentially made of a wearable device equipped with a set of sensors (like accelerometers, gyroscopes, magnetometers, heart-rate sensors, etc.). Different methods are being applied for improving the accuracy and performance of the HAR system. In this paper, we implement Artificial Neural Network (ANN), and Convolutional Neural Network (CNN) in combination with Long Short-term Memory (LSTM) methods with different layers and compare their outputs towards the accuracy in the HAR system. We compare the accuracy of different HAR methods and observed that the performance of our proposed model of CNN 2 layers with LSTM 1 layer is the best.
人类活动识别(Human Activity Recognition, HAR)是以人为中心的研究活动的一个重要分支。随着人工智能的发展,深度学习技术在计算机视觉领域取得了显著的成功。近年来,人们对人体活动识别系统在医疗保健、安全监控和基于人体运动的活动中的应用越来越感兴趣。HAR系统基本上是由一个配备了一系列传感器(如加速度计、陀螺仪、磁力计、心率传感器等)的可穿戴设备组成的。不同的方法被用于提高HAR系统的精度和性能。在本文中,我们将人工神经网络(ANN)和卷积神经网络(CNN)与长短期记忆(LSTM)方法结合在不同的层上实现,并比较了它们在HAR系统中的输出精度。我们比较了不同HAR方法的精度,发现我们提出的CNN 2层与LSTM 1层的模型性能最好。
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引用次数: 0
期刊
Journal of Applied Science & Process Engineering
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