http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
수잣후세인 ( Shujaat Hussain ),무하마드비랄아민 ( Muhammad Bilal Amin ),( Mahmood Ahmad ),이승룡 ( Sungyoung Lee ),정태충 ( Tae Choong Chung ) 한국정보처리학회 2013 한국정보처리학회 학술대회논문집 Vol.20 No.1
Smart home is one of the emerging domains to come up after advances in home appliances and automation technologies. There are many commercial solutions for smart homes yet many of them have yet to truly exploit the potential of private cloud for low level contextual services and ability to migrate to public cloud for more processing and storage. We propose a private cloud gateway for smart home which will have the ability to sense the new devices, ability to detect context of the situation and act in an appropriate way. It will also record the user logs which will be audited for improvement of the overall system.
Shujaat Ali,Abdul Rehman Umar,Kashif Hussain,Haji Muhammad,Muddasir Hanif,Mouna Hind Laiche,Sufian Rasheed,Kousar Yasmeen,Abdul Hameed,Muhammad Raza Shah 한국공업화학회 2023 Journal of Industrial and Engineering Chemistry Vol.125 No.-
It’s crucial to develop cost-effective, rapid & reliable detection methods of specific analytes through sensorsuseful in the analytical and medicinal chemistry. We report a highly sensitive and selective colorimetricmethod for the detection of clonazepam by the new composite sensor DH-1,6-NAPY-8-CNAgNPscontaining 5-amino-7-(4-benzylpiperazin-1-yl)-2,4-bis(4-bromophenyl)-2-methyl-1,3-dihydro-1,6-naphthyridine-8-carbonitrile capped silver nanoparticles (AgNPs). The detection mechanism is basedon the H-bonding interactions between clonazepam and the sensor, that caused the aggregation of NPsthat initiated a sharp color change from yellow to red. The linear relationship between the adjacentabsorbance values (DA) vs. clonazepam concentration (range = 0.05–75 lM) showed a correlation coefficientof 0.9927. The limit of detection (LOD) was 3 nM, that is very significant achievement over theexisting reports. The proposed sensor is highly selective, with no interference from many other possibleinterfering substances. The sensor was successfully applied to the aqueous and human plasma samples,therefore DH-1,6-NAPY-8-CN-AgNPs demonstrated great potential for the on-site and real-time screeningof Clonazepam.
Adaptive Replication Management in HDFS Based on Supervised Learning
Dinh-Mao Bui,Hussain, Shujaat,Eui-Nam Huh,Sungyoung Lee IEEE 2016 IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERIN Vol.28 No.6
<P>The number of applications based on Apache Hadoop is dramatically increasing due to the robustness and dynamic features of this system. At the heart of Apache Hadoop, the Hadoop Distributed File System (HDFS) provides the reliability and high availability for computation by applying a static replication by default. However, because of the characteristics of parallel operations on the application layer, the access rate for each data file in HDFS is completely different. Consequently, maintaining the same replication mechanism for every data file leads to detrimental effects on the performance. By rigorously considering the drawbacks of the HDFS replication, this paper proposes an approach to dynamically replicate the data file based on the predictive analysis. With the help of probability theory, the utilization of each data file can be predicted to create a corresponding replication strategy. Eventually, the popular files can be subsequently replicated according to their own access potentials. For the remaining low potential files, an erasure code is applied to maintain the reliability. Hence, our approach simultaneously improves the availability while keeping the reliability in comparison to the default scheme. Furthermore, the complexity reduction is applied to enhance the effectiveness of the prediction when dealing with Big Data.</P>