Cloud Computing: A Prospective and Development Study

The term “Cloud Computing” is a recent popular word in the IT world. Though this term is recently introduced but the idea of centralizing computation and storage in distributed data centers maintained by third party companies is not new. Cloud computing is aimed at providing IT as a service to the cloud users on-demand basis with greater flexibility, availability, reliability, and scalability with utility computing model. In this paper the Cloud computing paradigm from various aspects, such as definitions, development, distinct features, and enabling technologies being studied. This paper brings an introduction review on the Cloud computing and provides the state-of-the-art of Cloud computing technologies

Physical and Psychological Implications of Risky Child Labor: A Study in Sylhet City, Bangladesh

In Bangladesh, children are accustomed to working in industrial and manufacturing plants, small scale factories, metal works, construction, as well as in many informal sector activities. Based on a survey conducted in Sylhet city, this study found that child workers are suffering from different physical and psychological problems and that more than half of them receive their medical assistance from local health care providers who have no recognized qualifications. The study maintains that working from an early age impedes the children’s physical growth and intellectual and psychological development, which then also has negative effects on their long-term health and earning potential.risky child labor, physical health, mental health, Bangladesh

Research Approaches for Cloud Bank Risks Identification, Mitigation, and Coping

Cloud computing is a distributed system that enabled on-demand access of dynamically configurable resources and managed with minimal effort or interaction. The cloud bank model inspired from real commercial bank model where cloud computing environment is classified into Cloud Resource Providers (CRP), the Cloud Bank (CB), and Cloud Resource Consumers (CRC) roles. CRP play the role as depositors where CRC play borrowers role and the cloud bank plays the role as a bank where transaction take place at commercial banks. CRP are distributed physically that creating uncertainties that can affect the reliability of the cloud bank. Other direct or indirect circumstances may cause risks for the cloud bank. So accessing the cloud bank risk identification method, mitigation, and coping strategy is an important part of the cloud bank model. Even though the cloud bank deal with intangible property unlike a real commercial bank but this paper will prove that it was worth to examine commercial banks’ risk identification, mitigation, and coping methods to find possible solutions to make cloud bank environments reliable

HAZARDOUS CHILD LABOR & PSYCHO-PHYSICAL AND ECONOMIC CONSEQUENCES: A STUDY IN SYLHET CITY, BANGLADESH

Children of developing countries, by and large, have been working in different kinds of economic activities either on territorial (urban/rural) distribution or on sectoral (formal / informal and / or organized / unorganized) allocation basis. They used to work in manufacturing plants, small factories, metal and construction works. The inductive study is based on social survey aiming at unveiling the physical and mental discomforts of children involved in hazardous formal and/or informal economic sectors. Decisive examination of both primary and secondary data was made for in-depth analysis. Around 90% children under survey were suffering from different psycho-physical diseases while above half of them availed Medicaid and care from locally self-trained physicians who possessed no recognized knowledge of medical care. In addition, child workers are less-paid than those of adults. The study concluded that working at an early age causes problems of health and safety; and thereby get impeded their intellectual development and natural growth which causes severe negative consequences on economic potentials

IPTV program recommendation based on combination strategies

As a new interactive service technology, IPTV has been extensively studying in the field of TV pro-gram recommendation, but the sparse of the user-program rating matrix and the cold-start problem is a bottleneck that the program recommended accurately. In this paper, a flexible combination of two recommendation strategies proposed, which explored the sparse and cold-start problem as well as the issue of user interest change over time. This paper achieved content-based filtering section and collaborative filtering section according to the two combination strategies, which effectively solved the cold-start program and over the sparse problem and the problem of users interest change over time. The experimental results showed that this combinational recommendation system in optimal parameters compared by using any one of two combination strategies or not using any combination strategy at all, and the reducing range of MAE is [2.7%,3%].The increasing range of precision and recall is [13.8%95.5%] and [0,97.8%], respectively. The experiment showed better results when using combinational recommendation system in optimal parameters than using each combination strategies individually or not using any combination strategy

IPTV program recommendation based on combination strategies

As a new interactive service technology, IPTV has been extensively studying in the field of TV pro-gram recommendation, but the sparse of the user-program rating matrix and the cold-start problem is a bottleneck that the program recommended accurately. In this paper, a flexible combination of two recommendation strategies proposed, which explored the sparse and cold-start problem as well as the issue of user interest change over time. This paper achieved content-based filtering section and collaborative filtering section according to the two combination strategies, which effectively solved the cold-start program and over the sparse problem and the problem of users interest change over time. The experimental results showed that this combinational recommendation system in optimal parameters compared by using any one of two combination strategies or not using any combination strategy at all, and the reducing range of MAE is [2.7%,3%].The increasing range of precision and recall is [13.8%95.5%] and [0,97.8%], respectively. The experiment showed better results when using combinational recommendation system in optimal parameters than using each combination strategies individually or not using any combination strategy

Tea (Camellia sinensis) cultivated in three agro-ecological regions of Bangladesh: Unveiling the variability of methylxanthine, bioactive phenolic compound, and antioxidant activity

Tea (Camellia sinensis) is a widely consumed beverage known for its numerous health benefits, largely attributed to its rich content of quality determining secondary metabolites such as methylxanthine compounds and bioactive phenolic compounds. The goal of this study was to find out variations of the levels of methylxanthines, bioactive phenolic compounds, and antioxidant activity in methanolic and hot water extracts of 129 tea samples grown in three different ecological regions of Bangladesh named Panchagar, Sylhet, and Chattogram. Methylxanthine and bioactive phenolic compounds were determined by using HPLC-DAD, and the antioxidant profile was analysed by UV–vis spectrophotometric methods for methanol and hot water extracts of tea leaves. The IC50 values showed the trend as Panchagar > Sylhet > Chattogram and Sylhet > Chattogram > Panchagar for water and methanol extract, respectively. The results revealed significant (p  Chattogram > Sylhet. Caffeine was significantly higher (103.02 ± 5.55 mg/g of dry extract) in the methanolic extract of tea leaves of Panchagar district and lower (53.33 ± 4.30 mg/g of dry extract) in the hot water extract of Sylhet district. Panchagar and Chattogram possessed significantly (p < 0.05) higher catechin content for methanol (57.01 ± 5.50 mg/g dry extract) and hot water (55.23 ± 4.11 mg/g dry extract) extracts, respectively. The utilization of canonical discriminant functions yielded highly favorable outcomes in the classification of tea from three distinct cultivation origins in Bangladesh, relying on their inherent features. This study demonstrated the potential effects of geographical variations on the bioactive compounds and antioxidant properties of tea, emphasizing the importance of regional differences in tea cultivation for optimizing its health benefits as well as dispersing tea cultivation across the country

Assessment of roadside surface water quality of Savar, Dhaka, Bangladesh using GIS and multivariate statistical techniques

Abstract In this study, multivariate statistical techniques in collaboration with GIS are used to assess the roadside surface water quality of Savar region. Nineteen water samples were collected in dry season and 15 water quality parameters including TSS, TDS, pH, DO, BOD, Cl−, F−, NO3 2−, NO2 −, SO4 2−, Ca, Mg, K, Zn and Pb were measured. The univariate overview of water quality parameters are TSS 25.154 ± 8.674 mg/l, TDS 840.400 ± 311.081 mg/l, pH 7.574 ± 0.256 pH unit, DO 4.544 ± 0.933 mg/l, BOD 0.758 ± 0.179 mg/l, Cl− 51.494 ± 28.095 mg/l, F− 0.771 ± 0.153 mg/l, NO3 2− 2.211 ± 0.878 mg/l, NO2 − 4.692 ± 5.971 mg/l, SO4 2− 69.545 ± 53.873 mg/l, Ca 48.458 ± 22.690 mg/l, Mg 19.676 ± 7.361 mg/l, K 12.874 ± 11.382 mg/l, Zn 0.027 ± 0.029 mg/l, Pb 0.096 ± 0.154 mg/l. The water quality data were subjected to R-mode PCA which resulted in five major components. PC1 explains 28% of total variance and indicates the roadside and brick field dust settle down (TDS, TSS) in the nearby water body. PC2 explains 22.123% of total variance and indicates the agricultural influence (K, Ca, and NO2 −). PC3 describes the contribution of nonpoint pollution from agricultural and soil erosion processes (SO4 2−, Cl−, and K). PC4 depicts heavy positively loaded by vehicle emission and diffusion from battery stores (Zn, Pb). PC5 depicts strong positive loading of BOD and strong negative loading of pH. Cluster analysis represents three major clusters for both water parameters and sampling sites. The site based on cluster showed similar grouping pattern of R-mode factor score map. The present work reveals a new scope to monitor the roadside water quality for future research in Bangladesh