http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
A Fault Tolerant Data Management Scheme for Healthcare Internet of Things in Fog Computing
( Waqar Saeed ),( Zulfiqar Ahmad ),( Ali I. Jehangiri ),( Nader Mohamed ),( Arif I. Umar ),( Jamil Ahmad ) 한국인터넷정보학회 2021 KSII Transactions on Internet and Information Syst Vol.15 No.1
Fog computing aims to provide the solution of bandwidth, network latency and energy consumption problems of cloud computing. Likewise, management of data generated by healthcare IoT devices is one of the significant applications of fog computing. Huge amount of data is being generated by healthcare IoT devices and such types of data is required to be managed efficiently, with low latency, without failure, and with minimum energy consumption and low cost. Failures of task or node can cause more latency, maximum energy consumption and high cost. Thus, a failure free, cost efficient, and energy aware management and scheduling scheme for data generated by healthcare IoT devices not only improves the performance of the system but also saves the precious lives of patients because of due to minimum latency and provision of fault tolerance. Therefore, to address all such challenges with regard to data management and fault tolerance, we have presented a Fault Tolerant Data management (FTDM) scheme for healthcare IoT in fog computing. In FTDM, the data generated by healthcare IoT devices is efficiently organized and managed through well-defined components and steps. A two way fault-tolerant mechanism i.e., task-based fault-tolerance and node-based fault-tolerance, is provided in FTDM through which failure of tasks and nodes are managed. The paper considers energy consumption, execution cost, network usage, latency, and execution time as performance evaluation parameters. The simulation results show significantly improvements which are performed using iFogSim. Further, the simulation results show that the proposed FTDM strategy reduces energy consumption 3.97%, execution cost 5.09%, network usage 25.88%, latency 44.15% and execution time 48.89% as compared with existing Greedy Knapsack Scheduling (GKS) strategy. Moreover, it is worthwhile to mention that sometimes the patients are required to be treated remotely due to non-availability of facilities or due to some infectious diseases such as COVID-19. Thus, in such circumstances, the proposed strategy is significantly efficient.
Compounds Toxicity Prediction Using Convolution Neural Network Model
Waqar Ahmad,Kil To Chong 제어로봇시스템학회 2021 제어로봇시스템학회 각 지부별 자료집 Vol.2021 No.12
The compound toxicity is its ability to cause damaging effects on single cell or cells group or organ of the body. Due to bioassay advancements in recent years, new drugs emerged day by day and hence chemical toxicity data also increased. Moreover, traditional toxicity analysis methods failed to process large amount of toxicity data. Using these large amount of toxicity data, deep learning methods are useful for building Quantitative structure-activity relationship (QSAR) models for toxicity prediction. We used the convolution neural network model for toxicity prediction using SMILES images. This method achieved the 79% F1-score for toxic and non-toxic predictions. We hope that out model will contribute towards toxicity prediction in de novo drug discovery.
Waqar A. Khan,Rama Subba Reddy Gorla 대한기계학회 2010 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.24 No.9
The mixed convection of power-law fluids along a wedge in a porous medium is investigated numerically using an implicit finite difference method. Robin boundary condition is applied at the wedge surface. To explore the effects of mixed convection, both forced and free convection dominated regimes are considered separately. Non-similarity solutions are obtained for the variable heat transfer coefficient. Local dimensionless skin friction and Nusselt number are presented in tabular and graphical forms for the selected values of wedge and convective parameters. The wedge angle geometry parameter m, power index of pseudoplastic fluids n and mixed convection parameter ξ range from 0 to 1 in both regimes, whereas different values of convective parameter hc are considered for investigating the behavior of skin friction and heat transfer rates.
Effects of metal doping on the physical properties of ZnTe thin films
Waqar Mahmood,Nazar Abbas Shah 한국물리학회 2014 Current Applied Physics Vol.14 No.3
Zinc telluride (ZnTe) thin films were sublimated on a glass substrate using closed space sublimation (CSS) technique. ZnTe thin films of same thickness were tailored with copper (Cu) & silver (Ag) doping, considered for comparative study. X-ray diffraction (XRD) patterns of as-deposited ZnTe thin film and doped ZnTe samples exhibited polycrystalline behavior. The preferred orientation of (111) having cubic phase was observed. XRD patterns indicated that the crystallite size had increased after silver and copper immersion in as-deposited ZnTe thin films. Scanning electron microscopy (SEM) was used to observe the change of as-deposited and doped sample’s grains sizes. EDX confirmed the presence of Cu and Ag in the ZnTe thin films after doping respectively. The optical studies showed the decreasing trend in energy band gap after Cu and Ag-doping. Transmission also decreased after doping. Resistivity of as-deposited ZnTe thin film was about 106 U cm. The resistivity was reduced to 68.97 U cm after Cu immersion, and 104 U cm after Ag immersion. Raman spectra were used to check the crystallinity of as-deposited, Cu and Ag-doped ZnTe thin film samples.
Waqar Jaleel,Shafqat SAEED,Qamar Saeed,Muhammad Nadir NAQQASH,Muhammad Umair SIAL,Qurat Ul AINE,Lei YANYUAN,Zhao RUI,Yurong HE,Lihua LU 한국곤충학회 2019 Entomological Research Vol.49 No.4
Plutella xylostella is an important pest of cruciferous crops worldwide. However, information regarding the age‐stage, two‐sex life parameters of P. xylostella, which is vital for designing more effective control methods, is currently lacking. The present study reports age‐stage, two‐sex life table parameters for P. xylostella on napa cabbage (Brassica oleracea var. napa), white cabbage (B. oleracea var. capitata), and cauliflower (B. oleracea var. botrytis) under laboratory conditions at 25 ± 2°C, 50–60% relative humidity, and a 16‐h light : 8‐h dark photoperiod. The time for development from an egg to a male or female adult P. xylostella on white cabbage (mean [± SE] 41.15 ± 0.54 and 39.50 ± 0.54 days, respectively) was significantly longer than that on cauliflower and napa cabbage. Furthermore, P. xylostella fecundity on cauliflower (261.90 ± 4.53 eggs female) was significantly highest than on napa cabbage and white cabbage. Intrinsic rate of increase (r) and finite rate of increase (λ) were highest on cauliflower 0.182 day−1 and 1.199 day−1 respectively as comparison to napa cabbage and white cabbage. The highest gross reproductive rate (GRR) and net reproductive rates (R0) of P. xylostella 65.87 and 52.58 respectively on cauliflower then those of other hosts. The findings of the present study indicate that cauliflower is the most suitable cultivar (host) for the development of P. xylostella. Based on these findings, crops like cauliflower can be used as trap crops when napa cabbage and white cabbage are the main crops.
The response of two Bactrocera species (Diptera: Tephritidae) to fruit volatiles
Waqar Jaleel,Yurong He,Lihua Lü 한국응용곤충학회 2019 Journal of Asia-Pacific Entomology Vol.22 No.3
Bactrocera dorsalis and B. correcta are serious pests of agricultural fruit crops. Both species are widely distributed in tropical and subtropical countries, especially in Asia. For integrated management of both Bactrocera species, understanding their olfactory behavior is vital for designing reliable control strategies. In this study, the response of female B. dorsalis and B. correcta adults to three main volatile components of fruits was evaluated using the Ytube olfactometer. Our results showed that at higher concentrations all volatile components, except α-humulene and its combination with β-caryophyllene, attracted significantly more B. dorsalis than the untreated arm. For B. correcta, all the volatile components attracted significantly more females in the treated arm than the untreated arm. However, at 5% and 1% concentration, all the volatile components had similar attraction for B. dorsalis females. In the case of female B. correcta, the percentage of attraction was similar for all the individual volatile chemicals and their respective mixtures at 10% concentration. While, at 5% and 1% concentrations, the percentage of attraction was significantly higher for a mixture of β-caryophyllene and α-humulene than that of individual volatile components and all possible mixture of two and three volatile components. Based on the olfactometer results, this study concluded that 3-carene and the mixture of β-caryophyllene and α-humulene are strong attractants for female flies of B. dorsalis and B. correcta, respectively. This study might be helpful for the bait application against the female adults of B. dorsalis and B. correcta in farms and orchards.
The Impact of Covid-19 Induced Decline in Consumer Durables and Mobility on NO2 Emission in Europe
Waqar Ameer 연세대학교 동서문제연구원 2021 Global economic review Vol.50 No.1
This study explores links between NO2 emission and Covid-19 induced decline in consumption and mobility in Europe by using satellite images and various indices. This study discovered that strict lockdown in the wake of Covid-19 reduced consumption and mobility and thus, paved way for decline in NO2 emission in Europe. Satellite images show that NO2 emission is low in countries with strict bans on mobility. Similarly, decline in consumption is correlated in NO2 emission. This shows that despite its adverse socio-economic impact, Covid-19 is a blessing in disguise for environment, at least in short-run.