Browsing by Author "Islam, Md Rafiqul"

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A Multiwall Path-Loss Prediction Model Using 433 MHz LoRa-WAN Frequency to Characterize Foliage’s Influence in a Malaysian Palm Oil Plantation Environment
(Daffodil International University, 2022-07-20) Anzum, Rabeya; Habaebi, Mohamed Hadi; Islam, Md Rafiqul; Hakim, Galang P. N.; Khandaker, Mayeen Uddin; Osman, Hamid; Alamri, Sultan; AbdElrahim, Elrashed
Palm oil is the main cash crop of tropical Asia, and the implementation of LPWAN (low- power wide-area network) technologies for smart agriculture applications in palm oil plantations will benefit the palm oil industry in terms of making more revenue. This research attempts to characterize the LoRa 433 MHz frequency channels for the available spreading factors (SF7-SF12) and bandwidths (125 kHz, 250 kHz, and 500 kHz) for wireless sensor networks. The LoRa channel modeling in terms of path-loss calculation uses empirical measurements of RSS (received signal strength) in a palm oil plantation located in Selangor, Malaysia. In this research, about 1500 LoS (line-of-sight) and 300 NLoS (non-line-of-sight) propagation measurement data are collected for path-loss prediction modeling. Using the empirical data, a prediction model is constructed. The path-loss exponent for LoS propagation of the proposed prediction model is found to be 2.34 and 2.9 for 125–250 kHz bandwidth and 500 kHz bandwidth, respectively. Again, for the NLoS propagation links, the attenuation per trunk is found to be 7.58 dB, 7.04 dB, 5.35 dB, 5.02 dB, 5.01 dB, and 5 dB for SF7-SF12, and the attenuation per canopy is found to be 9.32 dB, 7.96 dB, 6.2 dB, 5.89 dB, 5.79 dB, and 5.45 dB for SF7-SF12. Moreover, the prediction model is found to be the better choice (mean RMSE 2.74 dB) in comparison to the empirical foliage loss models (Weissberger’s and ITU-R) to predict the path loss in palm oil plantations.
Analyzing the Impact of Demographic Variables on Spreading and Forecasting COVID-19
(Daffodil International University, 2021-09-16) Sharif, Omar; Islam, Md Rafiqul; Hasan, Md Zobaer; Kabir, Muhammad Ashad; Hasan, Md Emran; AlQahtani, Salman A.; Xu, Guandong
The aim of this study is to analyse the coronavirus disease 2019 (COVID-19) outbreak in Bangladesh. This study investigates the impact of demographic variables on the spread of COVID-19 as well as tries to forecast the COVID-19 infected numbers. First of all, this study uses Fisher’s Exact test to investigate the association between the infected groups of COVID-19 and demographical variables. Second, it exploits the ANOVA test to examine significant difference in the mean infected number of COVID-19 cases across the population density, literacy rate, and regions/divisions in Bangladesh. Third, this research predicts the number of infected cases in the epidemic peak region of Bangladesh for the year 2021. As a result, from the Fisher’s Exact test, we find a very strong significant association between the population density groups and infected groups of COVID-19. And, from the ANOVA test, we observe a significant difference in the mean infected number of COVID-19 cases across the five different population density groups. Besides, the prediction model shows that the cumulative number of infected cases would be raised to around 500,000 in the most densely region of Bangladesh, Dhaka division.
Central nervous system depressant, analgesic and antidiarrheal effects of the seed extracts of Dimocarpus longan lour in rats
(© 2014 Tropical Journal of Pharmaceutical Research) Ripa, Farhana Alam; Ibn Morshed, Mahmud Tareq; Afsana-Al-Sharmin; Papon, Shahed Bulbul; Islam, Md Rafiqul; Sheikh, Zara
Purpose: To assess the central nervous system (CNS) depressant, analgesic and antidiarrheal activities of the dried seed crude extracts of Dimocarpus longan Lour in rodents. Methods: Selected pharmacological effects of the ethanol (ENLS), petroleum ether (PELS), chloroform (CHLS) and ethyl acetate (EALS) extracts of D. longan fruit seeds were investigated. CNS depressant activity was evaluated by open field and hole cross tests; analgesic activity by acetic acid-induced writhing test and formalin-induced licking test; and anti-diarrheal activity was assessed in castor oil and magnesium-induced diarrhea rat model. The extracts were given orally in a rat model at doses of 200 and 300 mg/kg body weight. Normal saline served as control in all experiment. In CNS depressant test, diazepam (1 mg/kg) was used as reference drug while indomethacin (10 mg/kg) and loperamide(2 mg/kg) were used as standard drugs in analgesic and antidiarrheal tests, respectively. Results: In hole cross method, EALS showed the most effective depressant effect, viz, 1.17±0.17 for 200 mg/kg dose and 0.83±0.31 number of movements for 300 mg/kg dose after 120 min (p < 0.01), whereas in the open field test, all the extracts exhibited significant (p < 0.01) depressant effect in relation to positive control, diazepam. In acetic acid-induced pain test, PELS gave the lowest number of writhing (2.83±0.307) and the highest inhibition (88.45 %, 300 mg/kg dose) which was statistically significant. All the extracts also significantly (p < 0.01) suppressed licking activity in both phases of the formalin-induced licking test, in contrast to indomethacin. In the antidiarrheal tests, diarrheal suppression was highest at 300 mg/kg dose for all the extracts, compared with loperamide in both castor oil and magnesium sulphate induced diarrhea model. Conclusion: The extracts of Dimocarpus longan tested demonstrated significant CNS depressant, analgesic and antidiarrheal activities in a rodent model.
Central nervous system depressant, analgesic and antidiarrheal effects of the seed extracts of Dimocarpus longan lour in rats
(© 2014 Tropical Journal of Pharmaceutical Research) Ripa, Farhana Alam; Ibn Morshed, Mahmud Tareq; Afsana-Al-Sharmin; Papon, Shahed Bulbul; Islam, Md Rafiqul; Sheikh, Zara
Purpose: To assess the central nervous system (CNS) depressant, analgesic and antidiarrheal activities of the dried seed crude extracts of Dimocarpus longan Lour in rodents. Methods: Selected pharmacological effects of the ethanol (ENLS), petroleum ether (PELS), chloroform (CHLS) and ethyl acetate (EALS) extracts of D. longan fruit seeds were investigated. CNS depressant activity was evaluated by open field and hole cross tests; analgesic activity by acetic acid-induced writhing test and formalin-induced licking test; and anti-diarrheal activity was assessed in castor oil and magnesium-induced diarrhea rat model. The extracts were given orally in a rat model at doses of 200 and 300 mg/kg body weight. Normal saline served as control in all experiment. In CNS depressant test, diazepam (1 mg/kg) was used as reference drug while indomethacin (10 mg/kg) and loperamide(2 mg/kg) were used as standard drugs in analgesic and antidiarrheal tests, respectively. Results: In hole cross method, EALS showed the most effective depressant effect, viz, 1.17±0.17 for 200 mg/kg dose and 0.83±0.31 number of movements for 300 mg/kg dose after 120 min (p < 0.01), whereas in the open field test, all the extracts exhibited significant (p < 0.01) depressant effect in relation to positive control, diazepam. In acetic acid-induced pain test, PELS gave the lowest number of writhing (2.83±0.307) and the highest inhibition (88.45 %, 300 mg/kg dose) which was statistically significant. All the extracts also significantly (p < 0.01) suppressed licking activity in both phases of the formalin-induced licking test, in contrast to indomethacin. In the antidiarrheal tests, diarrheal suppression was highest at 300 mg/kg dose for all the extracts, compared with loperamide in both castor oil and magnesium sulphate induced diarrhea model. Conclusion: The extracts of Dimocarpus longan tested demonstrated significant CNS depressant, analgesic and antidiarrheal activities in a rodent model.
Central nervous system depressant, analgesic and antidiarrheal effects of the seed extracts of Dimocarpus longan lour in rats
(© 2014 Tropical Journal of Pharmaceutical Research) Ripa, Farhana Alam; Ibn Morshed, Mahmud Tareq; Afsana-Al-Sharmin; Papon, Shahed Bulbul; Islam, Md Rafiqul; Sheikh, Zara
Purpose: To assess the central nervous system (CNS) depressant, analgesic and antidiarrheal activities of the dried seed crude extracts of Dimocarpus longan Lour in rodents. Methods: Selected pharmacological effects of the ethanol (ENLS), petroleum ether (PELS), chloroform (CHLS) and ethyl acetate (EALS) extracts of D. longan fruit seeds were investigated. CNS depressant activity was evaluated by open field and hole cross tests; analgesic activity by acetic acid-induced writhing test and formalin-induced licking test; and anti-diarrheal activity was assessed in castor oil and magnesium-induced diarrhea rat model. The extracts were given orally in a rat model at doses of 200 and 300 mg/kg body weight. Normal saline served as control in all experiment. In CNS depressant test, diazepam (1 mg/kg) was used as reference drug while indomethacin (10 mg/kg) and loperamide(2 mg/kg) were used as standard drugs in analgesic and antidiarrheal tests, respectively. Results: In hole cross method, EALS showed the most effective depressant effect, viz, 1.17±0.17 for 200 mg/kg dose and 0.83±0.31 number of movements for 300 mg/kg dose after 120 min (p < 0.01), whereas in the open field test, all the extracts exhibited significant (p < 0.01) depressant effect in relation to positive control, diazepam. In acetic acid-induced pain test, PELS gave the lowest number of writhing (2.83±0.307) and the highest inhibition (88.45 %, 300 mg/kg dose) which was statistically significant. All the extracts also significantly (p < 0.01) suppressed licking activity in both phases of the formalin-induced licking test, in contrast to indomethacin. In the antidiarrheal tests, diarrheal suppression was highest at 300 mg/kg dose for all the extracts, compared with loperamide in both castor oil and magnesium sulphate induced diarrhea model. Conclusion: The extracts of Dimocarpus longan tested demonstrated significant CNS depressant, analgesic and antidiarrheal activities in a rodent model.
Central nervous system depressant, analgesic and antidiarrheal effects of the seed extracts of Dimocarpus longan lour in rats
(© 2014 Tropical Journal of Pharmaceutical Research) Ripa, Farhana Alam; Ibn Morshed, Mahmud Tareq; Afsana-Al-Sharmin; Papon, Shahed Bulbul; Islam, Md Rafiqul; Sheikh, Zara
Purpose: To assess the central nervous system (CNS) depressant, analgesic and antidiarrheal activities of the dried seed crude extracts of Dimocarpus longan Lour in rodents. Methods: Selected pharmacological effects of the ethanol (ENLS), petroleum ether (PELS), chloroform (CHLS) and ethyl acetate (EALS) extracts of D. longan fruit seeds were investigated. CNS depressant activity was evaluated by open field and hole cross tests; analgesic activity by acetic acid-induced writhing test and formalin-induced licking test; and anti-diarrheal activity was assessed in castor oil and magnesium-induced diarrhea rat model. The extracts were given orally in a rat model at doses of 200 and 300 mg/kg body weight. Normal saline served as control in all experiment. In CNS depressant test, diazepam (1 mg/kg) was used as reference drug while indomethacin (10 mg/kg) and loperamide(2 mg/kg) were used as standard drugs in analgesic and antidiarrheal tests, respectively. Results: In hole cross method, EALS showed the most effective depressant effect, viz, 1.17±0.17 for 200 mg/kg dose and 0.83±0.31 number of movements for 300 mg/kg dose after 120 min (p < 0.01), whereas in the open field test, all the extracts exhibited significant (p < 0.01) depressant effect in relation to positive control, diazepam. In acetic acid-induced pain test, PELS gave the lowest number of writhing (2.83±0.307) and the highest inhibition (88.45 %, 300 mg/kg dose) which was statistically significant. All the extracts also significantly (p < 0.01) suppressed licking activity in both phases of the formalin-induced licking test, in contrast to indomethacin. In the antidiarrheal tests, diarrheal suppression was highest at 300 mg/kg dose for all the extracts, compared with loperamide in both castor oil and magnesium sulphate induced diarrhea model. Conclusion: The extracts of Dimocarpus longan tested demonstrated significant CNS depressant, analgesic and antidiarrheal activities in a rodent model.
Citizens’ Access to Urban Environmental Information in Dhaka: Understanding the Patterns, Processes and Requirements
(University of Dhaka, 2019-02-23) Islam, Md Rafiqul
Dhaka is one of the most densely populated and rapidly growing cities in the world with 1.48 crore population and it has been acute facing environmental challenges due to rapid and unplanned urbanisation. Urban environmental information plays a crucial role for urban development, which helps city dwellers be aware of city environment and policymakers take right policies. So, understanding the patterns and processes of urban environment is a key to make information available to city dwellers. Thus, this study aims to understand the patterns and process of unban environmental information of Dhaka city. The household survey adopted for this study reveals an overview of the present status of urban environmental information dissemination while qualitative survey has explored the patterns and processes of urban environmental information of Dhaka city. Both the qualitative and quantitative surveys find that there is no integrated system in Dhaka city to disseminate urban environment information to the city dwellers. The ineffective urban environmental information dissemination is restricting the planned urban development and accelerating sufferings of city dwellers. Urban environmental information is being disseminated in the city in a haphazard manner. There is no central organisation, which collects urban environmental information. Access to urban environmental information is very crucial in coping with the environmental problems. But, Dhaka city experiences show that city dwellers have a little access to urban environmental information for lack of a proper dissemination system. The qualitative survey finds lack of coordination and the negligence of the authorities concerned are found to be the main underlying causes behind poor dissemination of urban environmental information. Although around 54 government bodies are involved in urban governance, they have no coordination at all. There is also poor governance in environmental information dissemination like other sectors in Dhaka city, which makes the city dwellers’ lives miserable. Media always play a vital role in disseminating urban environmental information and city dwellers are highly dependent on media to get urban environmental information. During the household survey, about 89.7 percent of respondents found media’s involvement in urban environmental information and think that media should play better role in this regard. The key reasons, which contribute to poor dissemination of urban environmental information, and the patterns and processes of the information, are analysed to suggest steps and policy guidelines towards introduction of an urban environmental information system for Dhaka city.
Designing Dashboard for Exploring Tourist Hotspots in Bangladesh
(23rd International Conference on Computer and Information Technology (ICCIT), IEEE, 2021-04-06) Islam, Md Tariqul; Akter, Sanjita; Kawser, Mohsina; Islam, Md Rafiqul
Tourism is a popular recreational activity among the people of Bangladesh. For the limited resources in a specific tourist place, people face many difficulties when visiting a place at a certain time. This is because of the lack of information that might have helped a person to make a decision that could have improved their traveling experience. To address this issue, we have designed a simple and easy-to-understand dashboard for exploring tourist hotspots in Bangladesh. First, we’ve collected data from various people and analyzed which information would be beneficial for future tourists. We presented t hose pieces of information on an interface that visualizes map, line, pie, and bar chart. We conclude with a comparison of the features with other dashboards similar to ours, which provides evidence about the usefulness of our dashboard and points toward further design improvements. Our dashboard will also benefit the authorities responsible for maintaining the proper management of tourist hotspots by providing summarized information.
Discovering Tourist Preference for Electing Destinations
(Scopus, 2021) Islam, Md Rafiqul; Ulhaq, Anwaar; Jilani, Munshi Muhammad Abdul Kader; Miah, Shah Jahan; Akter, Sanjita
Awareness and access to information on travel benefits may bear importance for tourist preference in selecting popular destination. Tourism businesses are continuously exploring to improve their competitive advantage and offering an effective method for assisting tourist in electing their preferred destinations. However, current studies are still at an emergent stage. This paper presents a tourists preferences dataset and introduces preference pattern mining (PPM) method as a solution framework for discovering tourist spots. Our PPM method finds and validates the most active tourist hot spots from the tourist preferences dataset. The proposed framework facilitates an unbiased approach for optimal tourism destination management in tourism-friendly countries.
Human Depression Detection from Social Network Data
(Department of Computer Science and Engineering, Islamic University of Technology, Gazipur, Bangladesh, 2018-11-15) Islam, Md Rafiqul
Social networks have been developed as a great point for its users to communicate with their interested friends and share their opinions, photos, and videos reflecting their mood, feelings and sentiments. This creates an opportunity to analyze social network data for user’s feelings and sentiments to investigate their mood and attitude when they are communicating via these online tools. Existing literature reflects on the use of various Application Programming Interfaces (API) such as Graph API, REST API and Streaming API to collect data from social networks and used for depression detection. Although diagnosis of depression using social networks data has picked an established position globally, there are several dimensions that are yet to be detected. In this study, we aim to perform depression analysis on Facebook data collected from an online public source by using machine learning techniques. We have evaluated the efficiency of machine learning techniques using a set of various psycholinguistic and textual features. The result shows that in different experiments Decision Tree (DT) gives the highest accuracy than other ML approaches to find the depression. It is anticipated that the analysis reported in this study would contribute in developing any electronic disease management system both for communities and healthcare professionals groups.
Human Depression Detection from Social Network Data
(Department of Computer Science and Engineering, Islamic University of Technology, Board Bazar, Gazipur, Bangladesh, 2018-11-15) Islam, Md Rafiqul
Numerical modeling of a MHD non-linear radiative Maxwell nano fluid with activation energy
(2024-01-30) Ahmed, Fariha; Reza-E-Rabbi, Sk; Yousuf Ali, Md; Ershad Ali, Lasker; Islam, Ariful; Rahman, Md Azizur; Roy, Raju; Islam, Md Rafiqul; Ahmmed, Sarder Firoz
The present research explores linear as well as nonlinear radiation patterns based on the MHD non-Newtonian (Maxwell) nanofluid flow having Arrhenius activation energy. This study's core focus is MHD properties in non-Newtonian fluid dynamics and boundary layer phenomena analysis. It initiates with time-dependent equations, employing boundary layer approximations. Extensive numerical computations, executed with custom Compact Visual Fortran code and the EFD method, provide profound insights into non-Newtonian fluid behavior, revealing intricate force interactions and fluid patterns. To check the stability of the solution, a convergence and stability analysis is performed. With the values of ΔY = 0.25, Δτ = 0.0005, and ΔX = 0.20; it is found that the model convergence occurs to the Lewis number, Le > 0.016 as well as the Prandtl number, Pr > 0.08. In this context, investigating non-dimensional results that depend on multiple physical factors. Explanation and visual representations of the effects of different physical characteristics and their resultant temperatures, concentrations, and velocity profiles are provided. As a result of the illustrations, the skin friction coefficient and Sherwood number, which are calculated, as well as Nusselt values, have all come up in discussion. Additionally, detailed representations of isothermal lines and streamlines are implemented, and it is pointed out that the development of these features occurs at the same time as Brownian motion. Furthermore, the temperature field for Maxwell fluid is modified due to the impression of chemical reaction as well as the Dufour number (Kr and Du). Our research demonstrates the superior performance of non-Newtonian solutions, notably in cases involving activation energy and nonlinear radiation. This paradigm shift carries significant implications. In another context, the interplay between Maxwell fluid and nonlinear radiation is notably affected by activation energy, offering promising applications in fields like medicine and industry, particularly in groundbreaking cancer treatment approaches.