|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | 1-MCP Regulates Ethanol Fermentation and GABA Shunt Pathway Involved in Kiwifruit Quality During Postharvest Storage显示文摘Kiwifruit(Actinidia deliciosa)‘Bruno’is prone to accumulate ethanol rapidly after respiratory climacteric during storage at ambient conditions without stresses,which causes quality deterioration of the fruit associated with alcohol off-flavor.For maintaining the postharvest quality of kiwifruit‘Bruno’,the effects of 1.0μL•L^−11-methylcyclopropene(1-MCP)treatment on regulating the ethanol fermentation andγ-aminobutyric acid(GABA)shunt pathway associated with control of alcohol off-flavor were investigated during storage at room temperature(24±1)°C for 27 days.The results showed that 1-MCP treatment significantly reduced the respiration rate,ethylene production,decay rate,ascorbic acid(AsA)loss,and delayed the decline in the firmness and titratable acidity(TA),and the increase in total soluble solid(TSS)in kiwifruit.Furthermore,1-MCP treatment effectively inhibited the increases in contents of acetaldehyde,ethanol,and GABA along with the suppressed activities of key enzymes involved in ethanol fermentation and GABA shunt pathway,such as pyruvate decarboxylase(PDC),alcohol dehydrogenase(ADH),glutamate decarboxylase(GAD),and GABA-transaminase(GABA-T)in kiwifruit during storage.In conclusion,1-MCP treatment efficiently regulated the ethanol fermentation and GABA shunt pathway by delaying the ripening process to avoid the alcohol off-flavor development,thereby contributed to maintaining the quality of the kiwifruit. | Maratab Ali Muhammad Ammar Raza Shenge Li Lichao Zhou Chen Huan Shen Shuling Xiaolin Zheng | 2021 | Horticultural Plant Journal2021，7，1： | 7 |
| 2 | Transient receptor potential vanilloid 4-dependent calcium influx and ATP release in mouse and rat gastric epithelia显示文摘AIM: To explore the expression of transient receptor potential vanilloid 4(TRPV4) and its physiological meaning in mouse and rat gastric epithelia. METHODS: RT-PCR and immunochemistry were used to detect TRPV4 m RNA and protein expression in mouse stomach and a rat normal gastric epithelial cell line(RGE1-01), while Ca2+-imaging and electrophysiology were used to evaluate TRPV4 channel activity. ATP release was measured by a luciferin-luciferase assay. Gastric emptying was also compared between WT and TRPV4 knockout mice. RESULTS: TRPV4 m RNA and protein were detected in mouse tissues and RGE1-01 cells. A TRPV4-specific agonist(GSK1016790A) increased intracellular Ca2+ concentrations and/or evoked TRPV4-like current activities in WT mouse gastric epithelial cells andRGE1-01 cells, but not TRPV4 KO cells. GSK1016790 A or mechanical stimuli induced ATP release from RGE1-01 cells while TRPV4 knockout mice displayed delayed gastric emptying in vivo. CONCLUSION: TRPV4 is expressed in mouse and rat gastric epithelium and contributes to ATP release and gastric emptying. | Hiroshi Mihara Nobuhiro Suzuki Ammar Abdullkader Boudaka Jibran Sualeh Muhammad Makoto Tominaga Yoshiaki Tabuchi Toshiro Sugiyama | 2016 | World Journal of Gastroenterology2016，22，24： | 5 |
| 3 | An efficient green route for hexamethylene-1,6-diisocyanate synthesis by thermal decomposition of hexamethylene-1,6-dicarbamate over Co3O4/ZSM-5 catalyst: An indirect utilization of CO2显示文摘The utilization of CO_2 as raw material for chemical synthesis has the potential for substantial economic and green benefits. Thermal decomposition of hexamethylene-1,6-dicarbamate(HDC) is a promising approach for indirect utilization of CO_2 to produce hexamethylene-1,6-diisocyanate(HDI). In this work, a green route was developed for the synthesis of HDI by thermal decomposition of HDC over Co_3O_4/ZSM-5 catalyst, using chlorobenzene as low boiling point solvent. Different metal oxide supported catalysts were prepared by incipient wetness impregnation(IWI), PEG-additive(PEG) and deposition precipitation with ammonia evaporation(DP) methods. Their catalytic performances for the thermal decomposition of HDC were tested. The catalyst screening results showed that Co_3O_4/ZSM-5_(25) catalysts prepared by different methods showed different performances in the order of Co_3O_4/ZSM-5_(25)(PEG)N Co_3O_4/ZSM-5_(25)(IWI)N Co_3O_4/ZSM-5_(25)(DP). The physicochemical properties of Co_3O_4/ZSM-5_(25) catalyst were characterized by XRD, FTIR, N2 adsorption-desorption measurements, NH3-TPD and XPS.The superior catalytic performance of Co_3O_4/ZSM-5_(25)(PEG)catalyst was attributed to its relative surface content of Co^(3+), surface lattice oxygen content and total acidity. Under the optimized reaction conditions: 6.5% HDC concentration in chlorobenzene, 1 wt% Co_3O_4/ZSM-5_(25)(PEG)catalyst, 250 °C temperature, 2.5 h time, 800 ml·min-1 nitrogen flow rate and 1.0 MPa pressure, the HDC conversion and HDI yield could reach 100% and 92.8%respectively. The Co_3O_4/ZSM-5_(25)(PEG)catalyst could be facilely separated from the reaction mixture, and reused without degradation in catalytic performance. Furthermore, a possible reaction mechanism was proposed based on the physicochemical properties of the Co_3O_4/ZSM-5_(25) catalysts. | Muhammad Ammar Yan Cao Peng He Liguo Wang Jiaqiang Chen Huiquan Li | 2017 | Chinese Journal of Chemical Engineering2017，25，12： | 4 |
| 4 | The adsorption properties of NaY zeolite for separation of ethylene glycol and 1,2-butanediol: Experiment and molecular modelling显示文摘The separation of ethylene glycol(EG)and 1,2-butanediol(1,2-BDO)azeotrope in the synthesis process of EG via coal and biomass is becoming of increasing commercial and environmental importance.Selective adsorption is deemed as the most promising methods because of energy saving and environment favorable.In this paper,NaY zeolite was used to separate 1,2-BDO from EG,and its adsorption properties was then investigated.The isotherms of EG and 1,2-BDO in vapor and liquid phases from 298 to 328 K indicated that they fitted Langmuir model quite well,and the NaY zeolite absorbent favored EG more than 1,2-BDO.The Grand Canonical Monte Carlo(GCMC)and molecular dynamics(MD)simulation techniques were conducted to investigate the competition adsorption and diffusion characteristics in different adsorption regions.It was observed that EG and 1,2-BDO molecules all have the most probable locations of the center of the 12-membered ring near the Na cations.The diffusivities of EG are lower than those of 1,2-BDO at the same adsorption concentration.At last,the breakthrough curves of the binary mixture regressed from the empirical Dose–Response model in fixed-bed column showed that the adsorption selectivity of EG could reach to as high as 2.43,verified that the NaY zeolite could effectively separate EG from 1,2-BDO.This work is also helpful for further separation of other dihydric alcohol mixtures from coal and biomass fermentation. | Pei Xiong Peng He Yixin Qu Liguo Wang Yan Cao Shuang Xu Jiaqiang Chen Muhammad Ammar Huiquan Li | 2021 | Green Energy & Environment2021，6，1： | 3 |
| 5 | Diagnostically untypable hepatitis C virus variants:It is time to resolve the problem显示文摘Pakistan is a low income country with more than 10million hepatitis C virus(HCV)infections and the burden is on continuous raise.Accurate viral genotyping is very critical for proper treatment of the infected individuals as the sustained virological response of the standard antiviral interferon therapy is genotype dependent.We observed at our diagnostic center that15.6%of HCV patient’s samples were not genotypeable by using Ohno et al method.The genotyped samples showed that 3a(68.3%)is the major prevalent genotype in Pakistan followed by 2a(10.3%),3b(2.6%),1b(1.5%),2b(1.2%)and 1a(0.5%).Presence of large number of untypable HCV variants in the current study highlights an important issue of health care setup in Pakistan.Untypable HCV cases create difficulties in treatment of these patients.The problem of routine diagnostics setup of Pakistan should be addressed on priority basis to facilitate the medical professionals in patient’s treatment and to help in achieving the maximum sustained virological response. | Muhammad Sohail Afzal Muhammad Yousaf Khan Muhammad Ammar Sadia Anjum Najm us Sahar Sadaf Zaidi | 2014 | World Journal of Gastroenterology2014，20，46： | 2 |
| 6 | Enhanced texture,yield and safety of a ready-to-eat salted duck meat product using a high pressure-heat process显示文摘 | MUHAMMAD AMMAR KHAN SHER ALI MUHAMMAD ABID | 2014 | Innovative Food Science&Emerging Technologies2014，21，： | 1 |
| 7 | HDI/癸二酸二辛酯二元体系气液平衡数据的测定及关联显示文摘采用准静态方法测定了368.75~423.00 K温度范围内1,6-己二异氰酸酯(HDI)单组分的饱和蒸汽压,以及HDI与癸二酸二辛酯(DOS)在369.81~424.55 K温度范围内的气液相平衡数据。借助Aspen Plus软件对实验数据进行回归,得到了溶液理论中非随即(局部)双液体(NRTL)模型方程、Wilson模型参数及关联偏差,结果表明,两种模型拟合得到的温度平均绝对偏差均小于1.55 K。进而计算了二元组分相对挥发度,发现HDI与DOS在0.300~0.900 k Pa范围内存在最高共沸现象,共沸物中HDI的摩尔分数为0.105~0.112。因此,在HDI精制分离时,循环溶剂中会携带10%左右的HDI。 | 池亚芳 贺鹏 Muhammad Ammar 王利国 曹妍 刘辉 李会泉 | 2017 | 北京化工大学学报(自然科学版)2017，44，5： | 1 |
| 8 | Analysis of energy saving in a supermarket refrigeration/HVAC system显示文摘 | Ammar Bahman Luis Rosario Muhammad M Rahman | 2012 | Ap- plied Energy2012，98，1： | 1 |
| 9 | Zn-Co bimetallic supported ZSM-5 catalyst for phosgene-free synthesis of hexamethylene–1,6–diisocyanate by thermal decomposition of hexamethylene–1,6–dicarbamate显示文摘A set of mono-and bimetallic(Zn-Co) supported ZSM-5 catalysts was first prepared by PEG-additive method. The physicochemical properties of the catalysts were investigated by FTIR, XPS, XRD, N_2adsorption-desorption measurements, SEM, EDS and NH3-TPD techniques. The physicochemical properties showed that the Zn Co_2O_4 spinel oxide was formed on the ZSM-5 support and provided effectual synergetic effect between Zn and Co species for the bimetallic catalyst. Furthermore, bimetallic supported ZSM-5 catalyst exhibited weak, moderate and strong acidic sites, while the monometallic supported ZSM-5 catalyst showed only weak and moderate or strong acidic sites. Their catalytic performances for thermal decomposition of hexamethylene–1,6–dicarbamate(HDC) to hexamethylene–1,6–diisocyanate(HDI) were then studied. It was found that the bimetallic supported ZSM-5 catalysts,especially Zn-2Co/ZSM-5 catalyst showed excellent catalytic performance due to the good synergetic effect between Co and Zn species, which provided a suitable contribution of acidic sites. HDC conversion of 100% with HDI selectivity of 91.2% and by-products selectivity of 1.3% could be achieved within short reaction time of 2.5 h over Zn-2Co/ZSM-5 catalyst. | Muhammad Ammar Yan Cao Peng He Li-Guo Wang Jia-Qiang Chen Hui-Quan Li | 2017 | Chinese Chemical Letters2017，28，7： | 1 |
| 10 | A Novel Improved Artificial Bee Colony and Blockchain-Based Secure Clustering Routing Scheme for FANET显示文摘Flying Ad hoc Network(FANET)has drawn significant consideration due to its rapid advancements and extensive use in civil applications.However,the characteristics of FANET including high mobility,limited resources,and distributed nature,have posed a new challenge to develop a secure and ef-ficient routing scheme for FANET.To overcome these challenges,this paper proposes a novel cluster based secure routing scheme,which aims to solve the routing and data security problem of FANET.In this scheme,the optimal cluster head selection is based on residual energy,online time,reputation,blockchain transactions,mobility,and connectivity by using Improved Artificial Bee Colony Optimization(IABC).The proposed IABC utilizes two different search equations for employee bee and onlooker bee to enhance convergence rate and exploitation abilities.Further,a lightweight blockchain consensus algorithm,AI-Proof of Witness Consensus Algorithm(AI-PoWCA)is proposed,which utilizes the optimal cluster head for mining.In AI-PoWCA,the concept of the witness for block verification is also involved to make the proposed scheme resource efficient and highly resilient against 51%attack.Simulation results demonstrate that the proposed scheme outperforms its counterparts and achieves up to 90%packet delivery ratio,lowest end-to-end delay,highest throughput,resilience against security attacks,and superior in block processing time. | Liang Zhao Muhammad Bin Saif Ammar Hawbani Geyong Min Su Peng Na Lin | 2021 | China Communications2021，18，7： | 1 |
| 11 | Countrywide Survey for MERS-Coronavirus Antibodies in Dromedaries and Humans in Pakistan显示文摘Middle East Respiratory Syndrome Coronavirus (MERS-CoV) is a zoonotic pathogen capable of causing severe respiratory disease in humans. Although dromedary camels are considered as a major reservoir host, the MERS-CoV infection dynamics in camels are not fully understood. Through surveillance in Pakistan, nasal (n = 776) and serum (n = 1050)samples were collected from camels between November 2015 and February 2018. Samples were collected from animal markets, free-roaming herds and abattoirs. An in-house ELISA was developed to detect IgG against MERS-CoV. A total of 794 camels were found seropositive for MERS-CoV. Prevalence increased with the age and the highest seroprevalence was recorded in camels aged [ 10 years (81.37%) followed by those aged 3.1–10 years (78.65%) and B 3 years (58.19%).Higher prevalence was observed in female (78.13%) as compared to male (70.70%). Of the camel nasal swabs, 22 were found to be positive by RT-qPCR though with high Ct values. Moreover, 2,409 human serum samples were also collected from four provinces of Pakistan during 2016–2017. Among the sampled population, 840 humans were camel herders.Although we found a high rate of MERS-CoV antibody positive dromedaries (75.62%) in Pakistan, no neutralizing antibodies were detected in humans with and without contact to camels. | Ali Zohaib Muhammad Saqib Muhammad Ammar Athar Jing Chen Awais-ur-Rahman Sial Saeed Khan Zeeshan Taj Halima Sadia Usman Tahir Muhammad Haleem Tayyab Muhammad Asif Qureshi Muhammad Khalid Mansoor Muhammad Ahsan Naeem Bing-Jie Hu Bilal Ahmed Khan Ikram Din Ujjan Bei Li Wei Zhang Yun Luo Yan Zhu Cecilia Waruhiu Iahtasham Khan Xing-Lou Yang Muhammad Sohail Sajid Victor Max Corman Bing Yan Zheng-Li Shi | 2018 | Virologica Sinica2018，33，5： | 1 |
| 12 | Continuous microwave flow synthesis of mesoporous hydroxyapatite显示文摘 | MUHAMMAD Akram AMMAR Z Alshemary YI-FAN Goh | 2015 | Mater Sci Eng2015，56，： | 1 |
| 13 | Improved process monitoring using the CUSUM and EWMA-based multiscale PCA fault detection framework显示文摘Process monitoring techniques are of paramount importance in the chemical industry to improve both the product quality and plant safety.Small or incipient irregularities may lead to severe degradation in complex chemical processes,and the conventional process monitoring techniques cannot detect these irregularities.In this study to improve the performance of monitoring,an online multiscale fault detection approach is proposed by integrating multiscale principal component analysis(MSPCA) with cumulative sum(CUSUM) and exponentially weighted moving average(EWMA) control charts.The new Hotelling's T~2 and square prediction error(SPE) based fault detection indices are proposed to detect the incipient irregularities in the process data.The performance of the proposed fault detection methods was tested for simulated data obtained from the CSTR system and compared to that of conventional PCA and MSPCA based methods.The results demonstrate that the proposed EWMA based MSPCA fault detection method was successful in detecting the faults.Moreover,a comparative study shows that the SPEEWMA monitoring index exhibits a better performance with lower values of missed detections ranging from 0% to 0.80% and false alarms ranging from 0% to 21.20%. | Muhammad Nawaz Abdulhalim Shah Maulud Haslinda Zabiri Syed Ali Ammar Taqvi Alamin Idris | 2021 | Chinese Journal of Chemical Engineering2021，34，1： | 1 |
| 14 | An Intelligent Graph Edit Distance-Based Approach for Finding Business Process Similarities显示文摘There are numerous application areas of computing similarity between process models.It includes finding similar models from a repository,controlling redundancy of process models,and finding corresponding activities between a pair of process models.The similarity between two process models is computed based on their similarity between labels,structures,and execution behaviors.Several attempts have been made to develop similarity techniques between activity labels,as well as their execution behavior.However,a notable problem with the process model similarity is that two process models can also be similar if there is a structural variation between them.However,neither a benchmark dataset exists for the structural similarity between process models nor there exist an effective technique to compute structural similarity.To that end,we have developed a large collection of process models in which structural changes are handcrafted while preserving the semantics of the models.Furthermore,we have used a machine learning-based approach to compute the similarity between a pair of process models having structural and label differences.Finally,we have evaluated the proposed approach using our generated collection of process models. | Abid Sohail Ammar Haseeb Mobashar Rehman Dhanapal Durai Dominic Muhammad Arif Butt | 2021 | Computers, Materials & Continua2021，，12： | 1 |
| 15 | Comparative assessment of clinical profile and outcomes after primary percutaneous coronary intervention in young patients with single vs multivessel disease显示文摘BACKGROUND Even though percutaneous coronary intervention(PCI)improved the survival of patients with acute myocardial infarction,still multivessel coronary artery disease remains an important factor burdening prognosis and it is being associated with a worse prognosis compared to single-vessel disease(SVD).AIM To compare the clinical profile and outcomes after the primary PCI in young patients with SVD vs multivessel disease(MVD).METHODS The retrospective cohort of patients were divided into two groups:SVD and MVD group.The study population consisted of both male and female young(≤45 years)patients presented with ST-elevation myocardial infarction(STEMI)at the National Institute of Cardiovascular Disease,Karachi,Pakistan and undergone primary PCI from 1 st July 2017 to 31 st March 2018.Pre and postprocedure management of the patients was as per the guidelines and institutional protocols.RESULTS A total of 571 patients with STEMI,≤45 years were stratified into two groups by the number of vessels involved,342(59.9%)with SVD and 229(40.1%)with MVD.The average age of these patients was 39.04±4.86 years.A lower prevalence of hypertension and diabetes was observed in SVD as compare to MVD group(25.1%vs 38%,P<0.01;11.7%vs 27.5%,P<0.001)respectively.While,smoking was more prevalent among the SVD group as compare to MVD group(36.3%vs 28.4%,P=0.05).The high-C Lesion was observed in a significantly higher number of younger patients with MVD as compared to SVD group(48.8%vs 39.2%,P=0.021).Post-procedure thrombolysis in myocardial infarction flow grade was found to be not associated with the number of diseased vessels with a P value of 0.426 and thrombolysis in myocardial infarction flow grade III was observed in 98%vs 96.5%of the patients is SVD vs MVD group.CONCLUSION The MVD comprised of around 40%of the young patients presented with STEMI.Also,this study shows that diabetes and hypertension have a certain role in the pathogenesis of multivessel diseases,therefore,preventive measures for diabetes and hypertension can be effective strategies in reducing the burden of premature STEMI. | Atif Sher Muhammad Tariq Ashraf Ayaz Mir Syed Alishan Faiza Farooq Ali Ammar Musa Karim Syed Nadeem Hassan Rizvi Tahir Saghir Jawaid Akbar Sial Naveed Ullah Khan | 2020 | World Journal of Cardiology2020，12，4： | 1 |
| 16 | Non-phosgene synthesis of hexamethylene-1,6-diisocyanate from thermal decomposition of hexamethylene-1,6-dicarbamate over Zn–Co bimetallic supported ZSM-5 catalyst显示文摘A non-phosgene route for the synthesis of hexamethylene-1,6-diisocyanate(HDI) was developed via catalytic decomposition of hexamethylene-1,6-dicarbamate(HDC) over Zn–Co bi-metallic supported ZSM-5 catalyst.The catalyst was characterized by FTIR and XRD analyses. Three solvents dioctyl sebacate(DOS), dibutyl sebacate(DBS) and 1-butyl-3-methylimidazolium tetrafluoroborate(BMIMBF_4) were investigated and compared; DOS gave better performance. The catalytic performances for thermal decomposition of HDC to HDI using DOS as solvent were then investigated, and the results showed that, under the optimized reaction conditions, i.e.,10 wt%concentration of HDC in DOS, 250 °C temperature, 60 min reaction time, 83.8% yield of HDI had been achieved over Zn–Co/ZSM-5. Decomposition of the intermediate hexamethylene-1-carbamate-6-isocyanate(HMI) over Zn–Co/ZSM-5 in DOS solvent was further studied and the results indicated that yield of HDI from HMI reached to 69.6%(98.6% HDI selectively) at 270 °C, which further increased the yield of the total HDI(HDI_(tol)) to as high as 95.0%. Recycling of catalyst showed that HDI and HMI yield slightly decreased, and by-product yield increased after the catalyst was reused for 4 times. At last possible reaction mechanism was proposed. | Yan Cao Yafang Chi Ammar Muhammad Peng He liguo Wang Huiquan Li | 2019 | Chinese Journal of Chemical Engineering2019，27，3： | 1 |
| 17 | Encoder-Decoder Based LSTM Model to Advance User QoE in 360-Degree Video显示文摘The development of multimedia content has resulted in a massiveincrease in network traffic for video streaming. It demands such types ofsolutions that can be addressed to obtain the user’s Quality-of-Experience(QoE). 360-degree videos have already taken up the user’s behavior by storm.However, the users only focus on the part of 360-degree videos, known as aviewport. Despite the immense hype, 360-degree videos convey a loathsomeside effect about viewport prediction, making viewers feel uncomfortablebecause user viewport needs to be pre-fetched in advance. Ideally, we canminimize the bandwidth consumption if we know what the user motionin advance. Looking into the problem definition, we propose an EncoderDecoder based Long-Short Term Memory (LSTM) model to more accuratelycapture the non-linear relationship between past and future viewport positions. This model takes the transforming data instead of taking the direct inputto predict the future user movement. Then, this prediction model is combinedwith a rate adaptation approach that assigns the bitrates to various tiles for360-degree video frames under a given network capacity. Hence, our proposedwork aims to facilitate improved system performance when QoE parametersare jointly optimized. Some experiments were carried out and compared withexisting work to prove the performance of the proposed model. Last but notleast, the experiments implementation of our proposed work provides highuser’s QoE than its competitors. | Muhammad Usman Younus Rabia Shafi Ammar Rafiq Muhammad Rizwan Anjum Sharjeel Afridi Abdul Aleem Jamali Zulfiqar Ali Arain | 2022 | Computers, Materials & Continua2022，，5： | 0 |
| 18 | Defocus blur detection using novel local directional mean patterns(LDMP)and segmentation via KNN matting显示文摘Detection and segmentation of defocus blur is a challenging task in digital imaging applications as the blurry images comprise of blur and sharp regions that wrap significant information and require effective methods for information extraction.Existing defocus blur detection and segmentation methods have several limitations i.e.,discriminating sharp smooth and blurred smooth regions,low recognition rate in noisy images,and high computational cost without having any prior knowledge of images i.e.,blur degree and camera configuration.Hence,there exists a dire need to develop an effective method for defocus blur detection,and segmentation robust to the above-mentioned limitations.This paper presents a novel features descriptor local directional mean patterns(LDMP)for defocus blur detection and employ KNN matting over the detected LDMP-Trimap for the robust segmentation of sharp and blur regions.We argue/hypothesize that most of the image fields located in blurry regions have significantly less specific local patterns than those in the sharp regions,therefore,proposed LDMP features descriptor should reliably detect the defocus blurred regions.The fusion of LDMP features with KNN matting provides superior performance in terms of obtaining high-quality segmented regions in the image.Additionally,the proposed LDMP features descriptor is robust to noise and successfully detects defocus blur in high-dense noisy images.Experimental results on Shi and Zhao datasets demonstrate the effectiveness of the proposed method in terms of defocus blur detection.Evaluation and comparative analysis signify that our method achieves superior segmentation performance and low computational cost of 15 seconds. | Awais KHAN Aun IRTAZA Ali JAVED Tahira NAZIR Hafiz MALIK Khalid Mahmood MALIK Muhammad Ammar KHAN | 2022 | Frontiers of Computer Science2022，16，2： | 0 |
| 19 | Video Analytics Framework for Human Action Recognition显示文摘Human action recognition(HAR)is an essential but challenging task for observing human movements.This problem encompasses the observations of variations in human movement and activity identification by machine learning algorithms.This article addresses the challenges in activity recognition by implementing and experimenting an intelligent segmentation,features reduction and selection framework.A novel approach has been introduced for the fusion of segmented frames and multi-level features of interests are extracted.An entropy-skewness based features reduction technique has been implemented and the reduced features are converted into a codebook by serial based fusion.A custom made genetic algorithm is implemented on the constructed features codebook in order to select the strong and wellknown features.The features are exploited by a multi-class SVM for action identification.Comprehensive experimental results are undertaken on four action datasets,namely,Weizmann,KTH,Muhavi,and WVU multi-view.We achieved the recognition rate of 96.80%,100%,100%,and 100%respectively.Analysis reveals that the proposed action recognition approach is efficient and well accurate as compare to existing approaches. | Muhammad Attique Khan Majed Alhaisoni Ammar Armghan Fayadh Alenezi Usman Tariq Yunyoung Nam Tallha Akram | 2021 | Computers, Materials & Continua2021，，9： | 0 |
| 20 | Heat Transfer Enhancement of an Automobile Engine Radiator using ZnO Water Base Nanofluids显示文摘In this research paper, the forced convective heat transfer enhancement of a Suzuki Mehran(VXR) 2016 radiator(heat exchanger) along with pressure drop and friction factor by utilizing Zinc oxide(Zn O) water based nanofluids has been experimentally studied. Three types of nanofluids with different volumetric concentrations of Zn O nanoparticles(0–0.3%) were employed in order to understand its effect on heat transfer enhancement. The experimental setup was completely designed as closely as possible to the car cooling system. The experimentation has been done under laminar flow conditions(186≤Re≤1127) at different fluid volume flow rates(2–12 L/min) and constant fluid inlet temperature(70°C) to the automobile radiator. A maximum enhancement in heat transfer rate, overall heat transfer coefficient and Nusselt number was obtained up to 41%, 50% and 31% by using nanofluid with 0.2% volumetric concentration of nanoparticles respectively. On the other hand, the mean enhancement in pressure drop and friction factor was obtained up to 47% and 46% by using nanofluid with the same volumetric concentration of nanoparticles i.e. 0.2% respectively. The experimental results also revealed that the heat transfer rate, overall heat transfer coefficient and Nusselt number of nanofluids increases by increasing the volume flow rates and volumetric concentration of nanoparticles. However, these thermal performance parameters of nanofluids started to decline when the volumetric concentration of nanoparticles was increased from 0.2% to 0.3%. Furthermore, pressure drop and friction factor of nanofluids increase by increasing the volumetric concentration of nanoparticles, while pressure drop increases and friction factor decreases by increasing the volume flow rate of nanofluids respectively. At the end, the thermal efficiency of automobile radiator with high cooling rates was obtained by using nanofluid with 0.2% volumetric concentration of nanoparticles. | Muhammad QASIM Muhammad SAJID KAMRAN Muhammad AMMAR Muhammad ALI JAMAL Muhammad YASAR JAVAID | 2020 | Journal of Thermal Science2020，29，4： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员