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라하만알리 ( Rahman Ali ),이승룡 ( Sungyoung Lee ),정태충 ( Tae Choong Chung ) 한국정보처리학회 2013 한국정보처리학회 학술대회논문집 Vol.20 No.1
In healthcare systems, the accuracy of a classifier for classifying medical diseases depends on a reduced dataset. Key to achieve true classification results is the reduction of data to a set of optimal number of significant features. The initial step towards data reduction is the integration of heterogeneous data sources to a unified reduced dataset which is further reduced by considering the range of values of all the attributes and then finally filtering and dropping out the least significant features from the dataset. This paper proposes a three step data reduction model which plays a vital role in the classification process.
Effect of flow rate in the generation of printed line in electrostatic inkjet system
Ahsan Rahman(아산 라만),Jeong-Beom Ko(고정범),Hyung-Chan kim(김형찬),Su-Jin Kim(김수진),Khalid Rahman(카리드 래만),Asif Ali(아시프 알리),Bong-Su Yang(양봉수),Adnan Ali(아드난 알리),Yang-Hoi Doh(도양회),Kyung-Hyun Choi(최경현),Dong-Won Je 한국기계가공학회 2008 한국기계가공학회 춘추계학술대회 논문집 Vol.2008 No.-
The Electrostatic Inkjet system has a huge number of applications in cost and time effected manufacturing of printed electronics like RFID, flexible display, solar cell, sensors, batteries etc. So, the fundamental focus will be to investigate the drop generation phenomena by applying the electrostatic forces. Electrostatic inkjet printing for printed electronics technology is advancing rapidly but it s still in its infancy as inkjet printing system is not able to design complicated devices. This paper explains the behavior of the multiphysics phenomena of the Drop on Demand (DOD) electrostatic Inkjet system for printed electronics devices.
Towards Improving Causality Mining using BERT with Multi-level Feature Networks
Wajid Ali,WanLi Zuo,Rahman Ali,Gohar Rahman,Xianglin Zuo,Inam Ullah 한국인터넷정보학회 2022 KSII Transactions on Internet and Information Syst Vol.16 No.10
Causality mining in NLP is a significant area of interest, which benefits in many daily life applications, including decision making, business risk management, question answering, future event prediction, scenario generation, and information retrieval. Mining those causalities was a challenging and open problem for the prior non-statistical and statistical techniques using web sources that required hand-crafted linguistics patterns for feature engineering, which were subject to domain knowledge and required much human effort. Those studies overlooked implicit, ambiguous, and heterogeneous causality and focused on explicit causality mining. In contrast to statistical and non-statistical approaches, we present Bidirectional Encoder Representations from Transformers (BERT) integrated with Multi-level Feature Networks (MFN) for causality recognition, called BERT+MFN for causality recognition in noisy and informal web datasets without human-designed features. In our model, MFN consists of a three-column knowledge-oriented network (TC-KN), bi-LSTM, and Relation Network (RN) that mine causality information at the segment level. BERT captures semantic features at the word level. We perform experiments on Alternative Lexicalization (AltLexes) datasets. The experimental outcomes show that our model outperforms baseline causality and text mining techniques.
Effect of Ni-doping on coloring and photocatalytic performance of MgTi2O5 nanoceramics
Moksodur Rahman,Md. Lutfor Rahman,Bristy Biswas,Md. Farid Ahmed,Md. Aftab Ali Shaikh,Shirin Akter Jahan,Nahid Sharmin 한국공업화학회 2023 Journal of Industrial and Engineering Chemistry Vol.126 No.-
The Ni-doped MgTi2O5 has been synthesized by sol–gel method and investigated the effect of sinteringwith %Ni content. The heat inspection of intermediate products was done at 1000–1400 C. The structuralproperties of synthesized samples were studied by various methods viz. simultaneous thermal analysis(TGA-DTG), Powder X-ray diffraction (PXRD), Fourier transform infrared spectroscopy (FT-IR), Scanningelectron microscopy (SEM) with energy dispersive X-ray spectroscopy (EDS), Zeta Sizer, and UV–VisNIR spectroscopy. The crystallite size of the obtained samples was determined from PXRD analysis usingClassical Scherrer formulae, modified Scherrer model, Williamson–Hall method, and size-strain plotequation. Unit cell parameter was determined precisely from PXRD data based on Rietveld refinementanalysis, which confirmed insertion of Ni2+ ions into the MgTi2O5 structure by decreasing unit cell parameters. Particle size was measured using dynamic light scattering and laser diffraction techniques. Opticalparameter analysis reveals that nano-pigments with narrow bandgap energy were suitable for photocatalysis. Ni0.6Mg0.4Ti2O5 sintered at 1400 C exhibits highest photocatalytic activity (93%) within120 min solar light irradiation. Color properties of the samples were determined from DRS measurementusing CIE-L*a*b* software. The obtained outcomes confirmed that the optical, photocatalytic and colorproperties of prepared samples improved with increasing Ni-contents.
Personalization of wellness recommendations using contextual interpretation
Afzal, Muhammad,Ali, Syed Imran,Ali, Rahman,Hussain, Maqbool,Ali, Taqdir,Khan, Wajahat Ali,Amin, Muhammad Bilal,Kang, Byeong Ho,Lee, Sungyoung Elsevier 2018 expert systems with applications Vol.96 No.-
<P><B>Abstract</B></P> <P>A huge array of personalized healthcare and wellness systems are introduced into the portfolio of digital health and quantified-self movement in recent years. These systems share common capabilities including self-tracking/monitoring and self-quantifications, based on the raw sensory data. These capabilities provide solid ground for the users to be more aware of their health; however, such measures are inefficient for changing the unhealthy habits of the users. In order to induce healthy habits in the users, a system must be capable of generating context-aware personalized recommendations. The main obstacle in this regard is the contextual interpretation of recommendations based on user's current context and contextual preferences. To resolve these issues, we propose a methodology of cross-context interpretation of recommendations (CCIR) for personalized health and wellness services. The CCIR method adds additional capabilities to the traditional reasoning methods and builds advanced form of the reasoning with the incorporation of contextual factors in the process of interpretations of the recommendations. With CCIR, the self-quantification systems can be enhanced to generate personalized recommendations in addition to tracking, quantifying, and monitoring user activities. In order to validate the proposed CCIR methodology, a set of 40 contextual scenarios and corresponding recommendations are presented for the evaluation collected from 40 different end users and 10 domain experts. Using chi-square test evaluation, the results demonstrated acceptable “goodness of fit” indices for the system developed on proposed CCIR methodology with respect to the end users’ opinion. Also from the statistical observation, it is found that there exists a higher level agreement towards the system between the participants of both end users and experts.</P> <P><B>Highlights</B></P> <P> <UL> <LI> A method for cross-context interpretations of health and wellness recommendations. </LI> <LI> A mechanism of refining generalized recommendations to personalized recommendations. </LI> <LI> The contextual interpretations are made for increasing the user acceptability of a system. </LI> </UL> </P>
Rahman, Ebeydulla,Momin, Ali,Zhao, Liang,Guo, Xiaoxuan,Xu, Duoyuan,Zhou, Feng,Ji, Baoping 한국식품과학회 2018 Food Science and Biotechnology Vol.27 No.2
This study aims to conduct a detailed investigation on four cultivars grown in northwest China, concentrating on the analysis of the bioactive contents, nutrients, heavy metal concentrations, and pesticide residue contents. Those Chinese jujubes consist of 51.99-71.75% edible part, 82.35-89.63% carbohydrates, 4.43-6.01% protein, 0.48-0.63% lipid, 2.80-4.80% polysaccharide, 45.64-88.97 mg/100 g ascorbic acid, 132.16-196.58 mg/100 g phenolics and 101.17-132.04 mg/100 g flavonoids in dry matter. In those four Chinese jujube cultivars, sulfur amino acids are the first limiting amino acids for adults, and aromatic amino acids are for children. The amount of heavy metal and pesticide residue concentrations in those jujubes was way below the limit. All four cultivars were found to have different nutritional values except for the carbohydrates; they had higher rates of carbohydrates and polysaccharide than those previously reported ones from Eastern China; and they are a better source for carbohydrates, vitamin C and functional amino acids.
Effect of Crop Establishment and Weed Control Method on Productivity of Transplanted aman Rice
Ali, Mohammad,Haque Bir, Md. Shahidul,Rahman, Md. Habibur,Ayesha, Sultana Kaniz,Hoque, Aminul,Harun-Ar-Rashid, Md.,Islam, Md. Rashidul,Park, Kee Woong The Korean Society of Weed ScienceThe Turfgrass So 2018 Weed & Turfgrass Science Vol.7 No.2
This experiment was conducted to find the most suitable crop establishment method and weed management practices for transplanted aman rice in Bangladesh. Rice variety Bangladesh Rice Research Institute (BRRI) dhan44 was used as planting materials where three crop establishment methods ($T_1$: direct wet seeding by drum seeder; $T_2$: hand broadcasting; $T_3$: transplanting) and four weeding options ($W_1$: Hand weeding (HW); $W_2$: BRRI weeder+HW; $W_3$: Herbicide+HW; and $W_4$: no weeding) were tested. Among the crop establishment methods, the highest grain yield ($5.12t\;ha^{-1}$) was obtained with the $T_3$, while the highest benefit cost ratio (BCR) of 2.08 was found in $T_2$. In case of the weed management method, $W_1$ showed superior results on the plant $density/m^2$ (139.66) at 60 days after transplanting (DAT), grain yield ($4.97t\;ha^{-1}$), and BCR (2.03). On the other hand, the highest plant dry matter (36.20 g) at 60 DAT and the highest yield ($6.10t\;ha^{-1}$) were obtained in a $T_3W_1$ combination. The results of this study show that the productivity of rice during aman season could be most significantly increased with the use of transplanting ($T_3$) alone, hand weeding ($W_1$) alone, or a combination of the two methods ($T_3W_1$).