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Blockchain-Based Certificate Authentication System with Enabling Correction

Journal of Computer and Communications 2023年第3期11卷 73-82页

作者： md. Mijanur rahman md. Tanzinul Kabir Tonmoy Saifur rahman Shihab Riya Farhana Department of Computer Science and Engineering Southeast University Dhaka Bangladesh

Blockchain has proven to be an emerging technology in the digital world, changing the way everyone thinks about data security and bringing efficiency to several industries. It has already been applied to a wide range of applications, from financial services and supply chain management to voting systems and identity verification. An organization must verify its candidates before selecting them. Choosing an unqualified candidate can ruin an organization’s reputation. In this paper, a blockchain-based academic certificate authentication system will be used to ensure authenticity and make the assertion of the decentralized system secure. However, the system will generate, authenticate and make corrections on academic certificates. Ultimately, some blockchain-based authentication systems already exist, they can’t correct any errors that occur during generation. A blockchain-based certificate authentication system was built using blockchain technology. Where admin could generate, authenticate and correct the certificate if necessary. The admin can also check how many times a certificate has been modified. Other users can only check the authenticity of the certificates. We’re using two blockchains to enable corrections. Blockchain technology can successfully implement a certificate authentication system. This system will eliminate doubts about the authenticity of certificates, provide fast responses, and ensure reliable and secure storage. The proposed system will help in many ways, such as providing a user-friendly university admission, and smooth job hiring process, etc. In conclusion, our proposed system can permanently eradicate certificate forgeries and create and promote trust in society.

关键词： Blockchain Certificate Authentication Certificate Correction Secure Certification Eliminate Forging

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A Photonic Crystal Fiber Based Asymmetric Slotted Structured Highly Sensitive Refractive Index Plasmonic Biosensor

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Journal of Sensor Technology 2022年第1期12卷 1-17页

作者： md. Arafat rahman Tanvir Ahmed md. Ismail Haque md. Shamim Anower Department of Electrical and Electronic Engineering Rajshahi University of Engineering and Technology Rajshahi Bangladesh Department of Electrical and Electronic Engineering International Islamic University Chittagong Chittagong Bangladesh

Surface plasmon resonance (SPR) sensors have grown in popularity owing to their sensitivity, precision, and capacity for a variety of applications, including detection, monitoring, and sensing, among others. Sensitivity and resolution are two areas where this technology has room for development. A plasmonic biosensor based on an asymmetric slotted PCF structure with extremely high sensitivity has been described and theoretically investigated. This high performance sensor is constructed and completely characterized using finite element method in COMSOL Multiphysics software environment. Sensitivity and resolution are analyzed as performance parameters for the proposed sensor. Numerical simulation exhibits the maximum wavelength-sensitivity of 1100 nm/RIU with 9.09 × 10-6 RIU resolution in the broad measurement range of refractive index from 1.30 to 1.44. A polarization controller can be used to fine-tune this extremely sensitive and wide-ranging refractive index sensor to fulfil a variety of practical needs. This is performed with the consideration of the variation in the refractive index (RI) of the analyte channels. In comparison with earlier PCF-based sensors, the fiber design structure is basic, symmetrical, simple to produce, and cost-effective. Because of the asymmetric air holes and higher sensitivities of the refractive index detector, it is possible to identify biomolecules, biochemicals and other analytes.

关键词： Surface Plasmon Resonance (SPR) Sensor High Sensitivity Photonic Crystal Fiber (PCF) Optical Fiber Sensor

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Mobility Issue on Octagonal Structured ZigBee Network Using Riverbed

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International Journal of Communications, Network and System Sciences 2016年第3期9卷 55-66页

作者： Nazrul Islam md. Jaminul Haque Biddut md. Faizul Huq Arif Mohammad Motiur rahman md. Syfur rahman Department of Information and Communication Technology (ICT) Mawlana Bhashani Science and Technology University Santosh Tangail Bangladesh Department of Computer Science and Engineering (CSE) Mawlana Bhashani Science and Technology University Santosh Tangail Bangladesh Education Management Information System (EMIS) Cell Directorate of Secondary and Higher Education Ministry of Education Dhaka Bangladesh

Wireless Sensor Network (WSN) is a special type of communication medium through distributed sensor nodes. Popular wireless sensor nodes like ZigBee have splendid interoperability after IEEE 802.15.4 standardization in the domain of wireless personal area network (WPAN). ZigBee has another great feature mobility that makes the ZigBee network more versatile. The mobility feature of ZigBee mobile nodes has a greater impact on network performance than fixed nodes. This impact sometimes turns into more severe because of network structure and mobility model. This study mainly focuses on the performance analysis of the ZigBee mobile node under Random and Octagonal mobility management model with the Tree routing method. The Riverbed academic modeler is used to design, implement and simulate the ZigBee network under certain conditions. This study also presents a competitive performance analysis based on ZigBee mobile nodes transmitter and receiver characteristics under the observation of the mobility model. This indicates that Octagonal mobility model exhibits better performance than the Random mobility model. This study will constitute a new way for further designing and planning a reliable and efficient ZigBee network.

关键词： WSN ZigBee Network Mobility Octagonal Structure Riverbed

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Enhancing Septic Shock Detection through Interpretable Machine Learning

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Computer Modeling in Engineering & Sciences 2024年第12期141卷 2501-2525页

作者： md.Mahfuzur rahman md.Solaiman Chowdhury Mohammad Shorfuzzaman Lutful Karim md.Shafiullah Farag Azzedin Department of Information and Computer Science King Fahd University of Petroleum and MineralsDhahran31261Saudi Arabia Department of Electrical and Computer Engineering North South UniversityDhaka1229Bangladesh Department of Computer Science Taif UniversityTaif21974Saudi Arabia College of Applied Arts and Technology Seneca PolytechnicTorontoM2J 2X5Canada Department of Control&Instrumentation Engineering King Fahd University of Petroleum and MineralsDhahran31261Saudi Arabia

This article presents an innovative approach that leverages interpretable machine learning models and cloud computing to accelerate the detection of septic shock by analyzing electronic health *** traditional methods,which often lack transparency in decision-making,our approach focuses on early detection,offering a proactive strategy to mitigate the risks of *** integrating advanced machine learning algorithms with interpretability techniques,our method not only provides accurate predictions but also offers clear insights into the factors influencing the model’s ***,we introduce a preference-based matching algorithm to evaluate disease severity,enabling timely interventions guided by the analysis *** innovative integration significantly enhances the effectiveness of our *** leverage a clinical health dataset comprising 1,552,210 Electronic Health Records(EHR)to train our interpretable machine learning models within a cloud computing *** techniques like feature importance analysis and model-agnostic interpretability tools,we aim to clarify the crucial indicators contributing to septic shock *** transparency not only assists healthcare professionals in comprehending the model’s predictions but also facilitates the integration of our system into existing clinical *** validate the effectiveness of our interpretable models using the same dataset,achieving an impressive accuracy rate exceeding 98%through the application of oversampling *** findings of this study hold significant implications for the advancement of more effective and transparent diagnostic tools in the critical domain of sepsis management.

关键词： Sepsis prediction machine learning cloud computing

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Study on Licker-In and Flat Speeds of Carding Machine and Its Effects on Quality of Cotton Spinning Process

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Journal of Flow Control, Measurement & Visualization 2023年第3期11卷 198-214页

作者： md. Mominul Motin Ayub Nabi Khan md. Obaidur rahman Department of Physics Jahangirnagar University Dhaka Bangladesh Department of Textile Engineering BGMEA University of Fashion & Technology Dhaka Bangladesh

Spinning has a significant influence on all textile processes. Combinations of all the capital equipment display the process’ critical condition. By transforming unprocessed fibers into carded sliver and yarn, the carding machine serves a critical role in the textile industry. The carding machine’s licker-in and flat speeds are crucial operational factors that have a big influence on the finished goods’ quality. The purpose of this study is to examine the link between licker-in and flat speeds and how they affect the yarn and carded sliver quality. A thorough experimental examination on a carding machine was carried out to accomplish this. The carded sliver and yarn produced after experimenting with different licker-in and flat speed combinations were assessed for important quality factors including evenness, strength, and flaws. To account for changes in material qualities and machine settings, the study also took into consideration the impact of various fiber kinds and processing circumstances. The findings of the investigation showed a direct relationship between the quality of the carded sliver and yarn and the licker-in and flat speeds. Within a limited range, greater licker-in speeds were shown to increase carding efficiency and decrease fiber tangling. On the other hand, extremely high speeds led to more fiber breakage and neps. Higher flat speeds, on the other hand, helped to enhance fiber alignment, which increased the evenness and strength of the carded sliver and yarn. Additionally, it was discovered that the ideal blend of licker-in and flat rates varied based on the fiber type and processing circumstances. When being carded, various fibers displayed distinctive behaviors that necessitated adjusting the operating settings in order to provide the necessary quality results. The study also determined the crucial speed ratios between the licker-in and flat speeds that reduced fiber breakage and increased the caliber of the finished goods. The results of this

关键词： Spinning Process Carding Machine Yarn Count Flat Licker-In Sliver Hank

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Financial management for custom hire service of tractor in Bangladesh

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International Journal of Agricultural and Biological Engineering 2013年第3期6卷 28-33页

作者： Anisur rahman Most.Latifunnahar md.Monjurul Alam Department of Farm Power and Machinery Bangladesh Agricultural UniversityMymensingh-2202Bangladesh

The main purpose of the study was to determine the economic parameters and effective schedules for tractor *** data from various sources were used in this *** essential data were collected from primary sources through *** costs were calculated and project financial profitability was determined by four major factors on farm financial measurement techniques,namely,benefit-cost ratio(BCR),net present value(NPV),internal rate of return(IRR),and payback *** the economic use,land topography and cropping pattern was developed to effective scheduling for tractor *** operating cost of tractor with implement was found to be US$9.25 per *** replacement of the existing tractor on expiry of economic life,the entrepreneur has to save an amount of US$219 per year in a bank *** on the operating cost,annual savings for replacement and a profit margin for the entrepreneur,the rent-out charge of the tractor is estimated at US$11.58 per *** 10%interest rate,the NPV of the tractor at existing condition is US$*** NPV of tractor indicates that tractor entrepreneurship is considered financially sound and the project is financially viable,with an average IRR of 36.96%.This is because IRR of the tractor was higher than the bank interest rate and it is highly profitable from the viewpoint of individual *** Payback period of tractor with implement was determined as 2.03 *** minimum tenure for an economic use of a common tractor used in agriculture is about 6310 *** this critical use,the utilization of a tractor is economical for a tractor *** on the cropping pattern two major and one minor turn-around periods are available in between cropping seasons for tilling *** time available for tilling of land is estimated about 140 days at 12 hours a day in a *** strengthen the existing capacity of the tractor customer hire service entrepreneurs an

关键词： tractor operating cost economic parameter effective scheduling tractor entrepreneur Bangladesh

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Understanding gaseous reduction in swine manure resulting from nanoparticle treatments under anaerobic storage conditions

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Journal of Environmental Sciences 2019年第8期31卷 179-191页

作者： Niloy Chandra Sarker md.Borhan Ann-Marie Fortuna Shafiqur rahman Agricultural and Biosystems Engineering Department North Dakota State University USDA-ARS Grazinglands Research Laboratory

Manure is an impending source of carbon(C), sulfur(S) and water(H_2 O). Consequently,microbial populations utilize these constituents to produce methane(CH4), carbon dioxide(CO_2), greenhouse gases(GHGs), and hydrogen sulfide(H_2 S). Application of nanoparticles(NPs) to stored manure is an emerging GHG mitigation technique. In this study, two NPs: nano zinc oxide(nZnO) and nano silver(nAg) were tested in swine manure stored under anaerobic conditions to determine their effectiveness in mitigating gaseous emissions and total gas production. The biological sources of gas production, i.e., microbial populations were characterized via Quantitative Polymerase Chain Reaction(qPCR) analysis. Additionally, pH, redox, and VFAs were determined using standard methods. Each treatment of the experiment was replicated three times and NPs were applied at a dose of 3 g/L of manure. Also, headspace gas from all treatment replicates were analyzed for CH_4 and CO_2 gas concentrations using an SRI-8610 Gas Chromatograph and H_2 S concentrations were measured using a Jerome 631 X meter. Nanoparticles tested in this study reduced the cumulative gas volume by 16%–79% compared to the control. Among the NPs tested, only nZnO consistently reduced GHG concentrations by 37%–97%. Reductions in H_2 S concentrations ranged from 87% to97%. Gaseous reductions were likely due to decreases in the activity and numbers of specific gas producing methanogenic archaea and sulfate reducing bacterial(SRB)species.

关键词： Swine manure Nanoparticles Greenhouse gas Methanogen Sulfate reducing bacteria(SRB)

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A Cyber Kill Chain Approach for Detecting Advanced Persistent Threats

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Computers, Materials & Continua 2021年第5期67卷 2497-2513页

作者： Yussuf Ahmed A.Taufiq Asyhari md.Arafatur rahman School of Computing and Digital Technology Birmingham City UniversityBirminghamUK Faculty of Computing IBM CoEERASUniversity Malaysia PahangPahangMalaysia

The number of cybersecurity incidents is on the rise despite significant investment in security *** existing conventional security approaches have demonstrated limited success against some of the more complex *** is primarily due to the sophistication of the attacks and the availability of powerful *** devices such as the Internet of Things(IoT)are also increasing attack exposures due to the increase in *** the last few years,we have seen a trend moving towards embracing edge technologies to harness the power of IoT devices and 5G *** technology brings processing power closer to the network and brings many advantages,including reduced latency,while it can also introduce vulnerabilities that could be *** cities are also dependent on technologies where everything is *** interconnectivity makes them highly vulnerable to cyber-attacks,especially by the Advanced Persistent Threat(APT),as these vulnerabilities are amplified by the need to integrate new technologies with legacy *** behind APT attacks have recently been targeting the IoT ecosystems,prevalent in many of these *** this paper,we used a publicly available dataset on Advanced Persistent Threats(APT)and developed a data-driven approach for detecting APT stages using the Cyber Kill *** are highly sophisticated and targeted forms of attacks that can evade intrusion detection systems,resulting in one of the greatest current challenges facing security *** this experiment,we used multiple machine learning classifiers,such as Naïve Bayes,Bayes Net,KNN,Random Forest and Support Vector Machine(SVM).We used Weka performance metrics to show the numeric *** best performance result of 91.1%was obtained with the Naïve Bayes *** hope our proposed solution will help security professionals to deal with APTs in a timely and effective manner.

关键词： Advanced persistent threat APT Cyber Kill Chain data breach intrusion detection cyber-attack attack prediction data-driven security and machine learning

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Landslide initiation and runout susceptibility modeling in the context of hill cutting and rapid urbanization: a combined approach of weights of evidence and spatial multicriteria

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Journal of Mountain Science 2017年第10期14卷 1919-1937页

作者： rahman md.Shahinoor AHMED Bayes DI Liping Center for Spatial Information Science and Systems George Mason University BUET-Japan Institute of Disaster Prevention and Urban Safety Bangladesh University of Engineering and Technology (BUET) Institute for Risk and Disaster Reduction Department of Earth SciencesUniversity College London (UCL) Department of Disaster Science and Management Faculty of Earth and Environmental SciencesUniversity of Dhaka

Rainfall induced landslides are a common threat to the communities living on dangerous hillslopes in Chittagong Metropolitan Area, Bangladesh. Extreme population pressure, indiscriminate hill cutting, increased precipitation events due to global warming and associated unplanned urbanization in the hills are exaggerating landslide events. The aim of this article is to prepare a scientifically accurate landslide susceptibility map by combining landslide initiation and runout maps. Land cover, slope, soil permeability, surface geology, precipitation, aspect, and distance to hill cut, road cut, drainage and stream network factor maps were selected by conditional independence test. The locations of 56 landslides were collected by field surveying. A weight of evidence(Wo E) method was applied to calculate the positive(presence of landslides) and negative(absence of landslides) factor weights. A combination of analytical hierarchical process(AHP) and fuzzymembership standardization(weighs from 0 to 1) was applied for performing a spatial multi-criteria evaluation. Expert opinion guided the decision rule for AHP. The Flow-R tool that allows modeling landslide runout from the initiation sources was applied. The flow direction was calculated using the modified Holmgren's algorithm. The AHP landslide initiation and runout susceptibility maps were used to prepare a combined landslide susceptibility map. The relative operating characteristic curve was used for model validation purpose. The accuracy of Wo E, AHP, and combined susceptibility map was calculated 96%, 97%, and 98%, respectively.

关键词： Landslide susceptibility Landslide runout GIS Remote sensing Weights of evidence(Wo E) Analytical hierarchical process(AHP) Relative operating characteristic(ROC) Bangladesh

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Influence of Bleaching Powder on the Quality of Giant Freshwater Prawn (<i>Macrobrachium rosenbergii</i>)

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Food and Nutrition Sciences 2013年第9期4卷 1-8页

作者： md. Mizanur rahman md. Shaheed Reza Mohammed Nurul Absar Khan Golam Mohammad Moshiur rahman md. Nazrul Islam md. Kamal Depart- ment of Post-Harvest Technology Chittagong Veterinary and Animal Sciences University Chittagong Bangladesh Department of Fisheries Technology Faculty of Fisheries Bangladesh Agricultural University Mymensingh Bangladesh Department of Fisheries Technology Faculty of Fisheries Patuakhali Science and Technology University Patuakhali Bangladesh WorldFish- Bangladesh & South Asia Office Dhaka Bangladesh.

Calcium hypochlorite commercially known as bleaching powder is used as a bleaching agent in shrimp processing industries in many countries and known to effect biochemical alteration in shrimp muscle. Studies were, therefore, undertaken to determine their effect in different concentrations viz., 10, 20, 30, 40 and 50 ppm with different time intervals on the quality of head-on, headless shell-on and peeled giant freshwater prawn (Macrobrachium rosenbergii) by determining biochemical and organoleptic aspects. Myofibrillar protein solubility of fresh head-on, headless shell-on and peeled samples were 90.5%, 90% and 88%, respectively indicating a gradual decrease in protein solubility with increasing concentration of bleaching powder. Decrease in protein solubility was also higher in samples kept at longer duration in different concentration of bleaching powder. At a given concentration of 50 ppm for 30 min treatment, the loss of myofibrillar protein was higher (26.14%) in peeled samples than those of head-on and headless shell-on samples (20.44% and 21.11%). Shelf life of bleaching powder treated prawn samples was found to be reduced to 4 - 5 days in iced condition compared to 6 - 7 days for control samples. Peeled samples were also found to be more susceptible to bleaching powder than that of head-on and headless shell-on samples.

关键词： Bleaching Powder Myofibrillar Protein Solubility Giant Freshwater Prawn Organoleptic Quality

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