A NEW HYBRID FUZZY TIME SERIES FORECASTING MODEL BASED ON COMBINING FUZZY C-MEANS CLUSTERING AND PARTICLE SWAM OPTIMIZATION

Fuzzy time series (FTS) model is one of the effective tools that can be used to identify factors in order to solve the complex process and uncertainty. Nowadays, it has been widely used in many forecasting problems. However, establishing effective fuzzy relationships groups, finding proper length of each interval, and building defuzzification rule are three issues that exist in FTS model. Therefore, in this paper, a novel FTS forecasting model based on fuzzy C-means (FCM) clustering and particle swarm optimization (PSO) was developed to enhance the forecasting accuracy. Firstly, the FCM clustering is used to divide the historical data into intervals with different lengths. After generating interval, the historical data is fuzzified into fuzzy sets. Following, fuzzy relationship groups were established based on the appearance history of the fuzzy sets on the right-hand side of the fuzzy logical relationships with the aim to serve for calculating the forecasting output.  Finally, the proposed model combined with PSO algorithm was applied to adjust interval lengths and find proper intervals in the universe of discourse for obtaining the best forecasting accuracy. To verify the effectiveness of the forecasting model, three numerical datasets (enrolments data of the University of Alabama, the Taiwan futures exchange –TAIFEX data and yearly deaths in car road accidents in Belgium) are selected to illustrate the proposed model. The experimental results indicate that the proposed model is better than any existing forecasting models in term of forecasting accuracy based on the first – order and high-order FTS

Early detection of slight bruises in apples by cost-efficient near-infrared imaging

Near-infrared (NIR) spectroscopy has been widely reported for its useful applications in assessing internal fruit qualities. Motivated by apple consumption in the global market, this study aims to evaluate the possibility of applying NIR imaging to detect slight bruises in apple fruits. A simple optical setup was designed, and low-cost system components were used to promote the future development of practical and cost-efficient devices. To evaluate the effectiveness of the proposed approach, slight bruises were created by a mild impact with a comparably low impact energy of only 0.081 Joules. Experimental results showed that 100% of bruises in Jazz and Gala apples were accurately detected immediately after bruising and within 3 hours of storage. Thus, it is promising to develop customer devices to detect slight bruises for not only apple fruits but also other fruits with soft and thin skin at their early damage stages

Factors Affecting Demand for Accounting Services of Enterprises Using Cloud Accounting in Hanoi

Purpose: The article analyzes the impact of factors affecting the demand for accounting services of enterprises using cloud accounting in Hanoi.   Theoretical framework: This paper uses model Factors Affecting Demand for Accounting Services of Enterprises Using Cloud Accounting.   Design/Methodology/Approach: The research method uses a questionnaire survey of accountants, chief accountants, business managers of enterprises in Hanoi. After the survey results are available, data processing is performed by statistical methods to determine the weight and frequency of the selected factors, and the data is processed on SPSS statistics 25 software to estimate the impact of the selected factors, factors affecting the demand for accounting services of enterprises using cloud accounting in Hanoi.   Findings: Research results show that Cost Of Using Accounting Service, Trademark, Introduction, Accounting Professional Qualification, Benefits Of Using Accounting Services, Characteristics Of Businesses Using Cloud Accounting, Supplier's Support have a positive impact on the demand for accounting services of enterprises. businesses using cloud accounting in Hanoi.   Research, practical   &   social   implications: Based on the research results, the author has proposed recommendations to improve the demand for accounting services of businesses using cloud accounting in Hanoi.   Originality/Value: This study fills the gap in the Demand for Accounting Services of Enterprises Using Cloud Accounting in Hanoi

Remote Sensing for Monitoring Surface Water Quality in the Vietnamese Mekong Delta: The Application for Estimating Chemical Oxygen Demand in River Reaches in Binh Dai, Ben Tre

In this study, the method of Fault Movement Potential (FMP) proposed by Lee et al. (1997) is used to assess the Surface water resources played a fundamental role in sustainable development of agriculture and aquaculture. They were the main sectors contributing to economic development in the Vietnamese Mekong Delta. Monitoring surface water quality was also one of the essential missions especially in the context of increasing freshwater demands and loads of wastewater fluxes. Recently, remote sensing technology has been widely applied in monitoring and mapping water quality at a regional scale replacing traditional field-based approaches. The aims of this study were to assess the application of the Landsat 8 (OLI) images for estimating Chemical Oxygen Demand (COD) as well as detecting spatial changes of the COD concentration in river reaches of the Binh Dai district, Ben Tre province, a downstream area of the delta. The results indicated the significant correlation (R=0.89) between the spectral reflectance values of Landsat 8 and the COD concentration by applying the Artificial Neuron Network (ANN) approach. In addition, the spatial distribution of the COD concentration was found slightly exceeded the national standard for irrigation according to the B1 column of QCVN 08:2015.References Ackerman S., Richard F., Kathleen S., Yinghui L., Chris M., Liam G., Bryan B., and Paul M., 2010. Discriminating clear-sky from cloud with MODIS algorithm theoretical basis document (MOD35). Ali Sheikh A.A., Ghorbanali A., and Nouri N., 2007. Coastline change detection using remote sensing. International Journal of Environmental Science and Technology 4(1), 61-66. Bonansea M., María C. R., Lucio P., and Susana F., 2015. Using multi-temporal Landsat imagery and linear mixed models for assessing water quality parameters in Río Tercero reservoir (Argentina). Remote Sensing of Environment 158, 28-41. Available at http://linkinghub.elsevier.com/retrieve/pii/S0034425714004544. Casse C., Viet P. B., Nhung P.T.N., Phung H.P., and Nguyen L.D., 2012. Remote sensing application for coastline detection in Ca Mau, Mekong Delta. Proceeding of International Conferance on Geometics for spatial Infrastructure development in Earth and Allied Science-GIS IDEAS. Chavez, P. S., 1996. Image-based atmospheric corrections-revisited and improved. Photogrammetric engineering and remote sensing, 62(9), 1025-1035. Chebud, Y., Ghinwa M.N., Rosanna G.R., and Assefa M.M., 2012. Water Quality Monitoring Using Remote Sensing and an Artificial Neural Network. Water Air Soil Pollution 223(8), 4875-4887. Available at http://link.springer.com/10.1007/s11270-012-1243-0. Gholizadeh M.H., Assefa M.M., and Lakshmi R., 2016. A Comprehensive Review on Water Quality Parameters Estimation Using Remote Sensing Techniques. Sensors (Basel, Switzerland) 16(8), 1298. Available at http://www.mdpi.com/1424-8220/16/8/1298/htm. Imen S., Ni-Bin C., and Y.J.Y., 2015. Developing the remote sensing-based early warning system for monitoring TSS concentrations in Lake Mead. Journal of Environmental Management 160, 73,89. Available at http://linkinghub.elsevier.com/retrieve/pii/S0301479715300943. Ines A.V.M., Peter D., Ian W.M., and Ashim G. D., 2001. Crop Growth and Soil Water Balance Water Modeling to Explore Water Management Water Options. Colombo. Kaur H., and Dalwinder S.S., 2013. Bayesian Regularization Based Neural Network Tool for Software Effort Estimation. Global Journal of Computer Science and Technology Neural Artificial Intelligence 13(2), 44-50. Available at https://globaljournals.org/GJCST_Volume13/6-Bayesian-Regularization-Based-Neural.pdf. Lavery P., Charitha P., Alex W., and Peter H., 1993. Water quality monitoring in estuarine waters using the Landsat thematic mapper. Remote Sensing of Environment 46(3), 268-280. Le A.T., Du L.V., and Tristan S., 2014. Rapid integrated and ecosystem-based assessment of climate change vulnerability and adaptation for Ben Tre Province, Viet Nam. Journal of Science and Technology 52(3A), 287-293. Lim J. and Minha C., 2015. Assessment of water quality based on Landsat 8 operational land imager associated with human activities in Korea. Environmental monitoring and assessment 187(6), 4616. Available at http://www.scopus.com/inward/record.url?eid=2-s2.0-84930209268partnerID=tZOtx3y1. Montanher O.C., Evlyn M.L.M.N., Claudio C.F.B., Camilo D.R., and Thiago S.F.S., 2014. Empirical models for estimating the suspended sediment concentration in Amazonian white water rivers using Landsat 5/TM. International Journal of Applied Earth Observation and Geoinformation 29(1), 67-77. Available at http://dx.doi.org/10.1016/j.jag.2014.01.001. Nas B., Semih E., Hakan K., Ali B., and David J.M., 2010. An application of landsat-5TM image data for water quality mapping in Lake Beysehir, Turkey. Water Air and Soil Pollution 212(1-4), 183-197. Nguyen D.D., Lam D.D., Ha V. Van, Tan N.T., Tuan D.M., Quang N.M., and Cuc N.T.T., 2010. New stratigraphic unit - The Early Holocene Binh Dai formation at the estuary and coastal area of Cuu Long delta. Vietnam Journal of Earth Sciences 32, 335-342. Pham B.T., Dieu T.B., Hamid R.P., Prakash I., and Dholakia M.B., 2015. Landslide susceptibility assesssment in the Uttarakhand area (India) using GIS: a comparison study of prediction capability of naïve bayes, multilayer perceptron neural networks, and functional trees methods. Theoretical and Applied Climatology 128(1-2), 255-273. Pham Q.S. and Anh N.D., 2011. Evolution of the coastal erosion and accretion in the Hai Hau district (Nam Dinh province) and neighboring region over the last 100 years based on topographic maps and multi-temporal remote sensing data analysis. Vietnam Journal of Earth Sciences 311(2002), 82-85. PPC, 2016. Environmental Impacts Assessment (B-SWAMP). Ben Tre. Renaud F.G. and Claudia K., 2012. The Mekong Delta System: Interdisciplinary Analyses of a River Delta (FG Renaud and C Kuenzer, Eds.). Springer Dordrecht Heidelberg New York London. Sudheer K.P., Indrajeet C., and Vijay G., 2006. Lake water quality assessment from landsat thematic mapper data using neural network: An approach to optimal band combination selection. Journal of the American Water Resources Association 42(6), 1683-1695. Tien Bui D., Pradha B., Owe L., Inge R., and Oystein B.D., 2012. Landslide susceptibility assessment in the Hoa Binh province of Vietnam: A comparison of the Levenberg-Marquardt and Bayesian regularized neural networks. Geomorphology 171-172, 12-29Available at http://dx.doi.org/10.1016/j.geomorph.2012.04.023. Tien Bui D., Tuan T.A., Harald K., Biswajeet P., and Inge R., 2016. Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic model tree. Landslides 13(2), 361-378. Wang Y., Hao X., Jiamo F., and Guoying S., 2004. Water quality change in reservoirs of Shenzhen, China: Detection using LANDSAT/TM data. Science of The Total Environment 328(1-3), 195-206. Available at http://linkinghub.elsevier.com/retrieve/pii/S0048969704001007. Wang J.P., Cheng S.T., and Jia H.F., 1977. Application of Artificial Neural Network Technology in Water Color Remote Sensing Inversion of Inland Water Body Using Tm Data. Waxter M.T., 2014. Analysis of Landsat Satellite Data to Monitor Water Quality Parameters in Tenmile Lake, Oregon. Were K., Dieu T.B., Øystein B.D., and Bal R.S., 2015. A comparative assessment of support vector regression, artificial neural networks, and random forests for predicting and mapping soil organic carbon stocks across an Afromontane landscape. Ecological Indicators 52: 394-403. Available at http://dx.doi.org/10.1016/j.ecolind.2014.12.028. Wu J.L., Chung-Ru H., Chia-Ching H., Arun L.S., Jing-Hua T., and Yao-Tung L., 2014. Hyperspectral sensing for turbid water quality monitoring in freshwater rivers: Empirical relationship between reflectance and turbidity and total solids. Sensors (Switzerland) 14(12), 22670-22688. Yusop S.M., Abdullah K., Lim H.S., and Md N.A.B., 2011. Monitoring water quality from Landsat TM imagery in Penang, Malaysia. Proceeding of the 2011 IEEE International Conference on Space Science and Communication (IconSpace), 249-253. Zhu Z. and Curtis E.W., 2012. Object-based cloud and cloud shadow detection in Landsat imagery. Remote Sensing of Environment 118, 83-94. Zhu Z. Shixiong W., and Curtis E.W., 2015. Improvement and expansion of the Fmask algorithm: Cloud, cloud shadow, and snow detection for Landsats 4-7, 8, and Sentinel 2 images. Remote Sensing of Environment 159, 269-277

Recovery of Scandium from Chloride Media Using the Novel Ion Exchange Resin

Abstract -This study focused on separation and recovery of scandium from chloride solution using the new synthesized ion exchange resin. The resin containing glycol amic acid groups shows the possibility to recover scandium from chloride aqueous solutions. At pH 1, the adsorption selectivity of scandium can be obtained among the others metals. The kinetic adsorption of scandium by the resin was found slowly, and contact time 24 hours was chosen as a suitable time in this study. The elution of scandium from the loaded resin could be completed with 2 M HCl solution at 80 o C. The close process will be established based on the optimum parameters which are obtained throughout this investigation, and that process can be applied in metal extraction processing for recovery of scandium and the other rare earth metals using the novel ion exchange resin

Indoor PM₀.₁ and PM₂.₅ in Hanoi: Chemical characterization, source identification, and health risk assessment

This study attempted to provide comprehensive insights into the chemical composition, source identification, and health risk assessment of indoor particulate matter (PM) in urban areas of Vietnam. Three hundred and twenty daily samples of PM₀.₁ and PM₂.₅ were collected at three different types of dwellings in Hanoi in two seasons, namely summer and winter. The samples were analyzed for 10 trace elements (TEs), namely Cr, Mn, Co, Cu, Ni, Zn, As, Cd, Sn, and Pb. The daily average concentrations of indoor PM₀.₁ and PM₂.₅ in the city were in the ranges of 7.0–8.9 μg/m³ and 43.3–106 μg/m³, respectively. The average concentrations of TEs bound to indoor PM ranged from 66.2 ng/m³ to 216 ng/m³ for PM₀.₁ and 391 ng/m³ to 2360 ng/m³ for PM₂.₅. Principle component analysis and enrichment factor were applied to identify the possible sources of indoor PM. Results showed that indoor PM₂.₅ was mainly derived from outdoor sources, whereas indoor PM₀.₁ was derived from indoor and outdoor sources. Domestic coal burning, industrial and traffic emissions were observed as outdoor sources, whereas household dust and indoor combustion were found as indoor sources. 80% of PM₂.₅ was deposited in the head airways, whereas 75% of PM₀.₁ was deposited in alveolar region. Monte Carlo simulation indicated that the intake of TEs in PM₂.₅ can lead to high carcinogenic risk for people over 60 years old and unacceptable non-carcinogenic risks for all ages at the roadside house in winter

"Cultural additivity" and how the values and norms of Confucianism, Buddhism, and Taoism co-exist, interact, and influence Vietnamese society: A Bayesian analysis of long-standing folktales, using R and Stan

Every year, the Vietnamese people reportedly burned about 50,000 tons of joss papers, which took the form of not only bank notes, but iPhones, cars, clothes, even housekeepers, in hope of pleasing the dead. The practice was mistakenly attributed to traditional Buddhist teachings but originated in fact from China, which most Vietnamese were not aware of. In other aspects of life, there were many similar examples of Vietnamese so ready and comfortable with adding new norms, values, and beliefs, even contradictory ones, to their culture. This phenomenon, dubbed "cultural additivity", prompted us to study the co-existence, interaction, and influences among core values and norms of the Three Teachings--Confucianism, Buddhism, and Taoism--as shown through Vietnamese folktales. By applying Bayesian logistic regression, we evaluated the possibility of whether the key message of a story was dominated by a religion (dependent variables), as affected by the appearance of values and anti-values pertaining to the Three Teachings in the story (independent variables).Comment: 8 figures, 35 page

Factors Affecting Successful Quality Assurance Implementation in Vietnamese Higher Education: A Qualitative Study

Quality assurance and accreditation was officially introduced into the higher education system in Vietnam over ten years ago. It is evident that quality assurance has resulted in positive impacts on university management, teaching, learning and research activities. This paper aims to explore factors that aid the successful implementation of higher education quality assurance and accreditation in Vietnam. Through semi-structured interviews with 32 participants, this study identified a number of factors that contributed to quality assurance processes, including awareness of the importance of quality assurance, better institutional manager leadership, support of university lecturers, staff, and students, and the vital responsibility of internal quality assurance staff. These confirm that internal stakeholders play an important role in undertaking quality assurance programmes and activities

Associations of Psychosocial Factors with Maternal Confidence Among Japanese and Vietnamese Mothers

We conducted this cross-sectional study among 392 Japanese and 294 Vietnamese mothers who attended routine child health visits in a Japanese city and at a tertiary hospital in Vietnam, in order to investigate the prevalence and associated sociodemographic, parenting, and psychological characteristics of low maternal confidence in child rearing among them. All data were collected from medical files in Japan, and from medical files and self-administered questionnaires in Vietnam. The proportion of mothers without secure feeling of confidence in the present study was 22% in Japan and 66% in Vietnam. Significant factors associated with a lack of confidence were first-time motherhood and unintended pregnancy in the Japanese dataset and younger age in the Vietnamese dataset. In both groups, a higher proportion of mothers who lacked confidence reported negative parenting outcomes than did confident mothers. Among the three psychological measurements (mood, self-efficacy and depression), higher self-efficacy was associated independently with a significantly reduced risk of not having confidence in child rearing. These results suggest the importance of developing parenting support programs to help Japanese and Vietnamese mothers, particularly those who are young, first-time mothers or who became pregnant unexpectedly, improve their self-efficacy

Synthesis and Optical Characterization of Dye Doped in Ormosil Nanospheres for Bioapplications

Dye-doped ORMOSIL (organically modified silicate) nanoparticles (NPs) have significant advantages over single-dye labeling in signal amplification, photostability and surface modification for various biological applications. The dyes: Rhodamine 6G (R6G) and Rhodamine B (RB) were successfully incorporated into ORMOSIL nanoparticles fabricated by micellar nanochemistry from Trimethoxysilane CH$_3$Si(OCH$_3$)$_3$ precursor. The optical characterization of dye-doped ORMOSIL NPs was studied in comparison with it’s of free dye in solution. The results shown that the photostability of ORMOSIL dye doped nanospheres is much improved in comparison with it’s of dye in solution. Other studies of the photophysical properties such as anisotropy, fluorescence lifetime and energy transfer were also done