Enhanced Wi-Fi Security of University Premises Using MAC Address and Randomly Generated Password

Many solutions are available for setting up wireless home networks to get internet connectivity working as quickly as possible. It is also quite risky as numerous security problems can result. Today’s Wi-Fi networking products do not always help the situation as configuring their security features, and they can be time-consuming.  In this paper, an improved security protocol is proposed for University premises, which is a combination of the process of MAC address filtering and random password generation. If the MAC address match, then the server will send a randomly generated password to the client. As a result, the whole network will face fewer intruders, and the security will be of top-notch. The proposed security solution was compared with the existing four security methods. The proposed solution has universality as the device and software needed for it is available all over the world

An Investigation on The Effect of Machine Gauge on the Properties of Weft Knitted Fabric

To investigate the effect of machine gauge on properties of weft knitted fabric, three V – bed knitting machines of different gauges were selected for fabric sample production. They were of gauge 7, 12, and 14. With these three machines, three 1 × 1 rib fabric samples were produced by using 20 / 2 (Ne) yarn. Keeping the same machine settings, 1 × 1 rib fabric samples were produced by using 32 / 2 (Ne) and 40 / 2 (Ne) yarns. The dimensional properties like course / cm, wales / cm, stitch density per square cm, and G.S.M. were measured from the samples. They were tabulated and presented by graphs to observe the effects. To analyze the effects, the stitch length of each fabric’s samples was measured. It was found that the stitch length increases as the machine gauge decreases and vice-versa. As a result, all other properties like; course / cm, wales / cm, stitch density and G.S.M. also changes. It was concluded that the machine gauge affects the knit fabric properties and it has a specific trend

MCFFA-Net: Multi-Contextual Feature Fusion and Attention Guided Network for Apple Foliar Disease Classification

Numerous diseases cause severe economic loss in the apple production-based industry. Early disease identification in apple leaves can help to stop the spread of infections and provide better productivity. Therefore, it is crucial to study the identification and classification of different apple foliar diseases. Various traditional machine learning and deep learning methods have addressed and investigated this issue. However, it is still challenging to classify these diseases because of their complex background, variation in the diseased spot in the images, and the presence of several symptoms of multiple diseases on the same leaf. This paper proposes a novel transfer learning-based stacked ensemble architecture named MCFFA-Net, which is composed of three pre-trained architectures named MobileNetV2, DenseNet201, and InceptionResNetV2 as backbone networks. We also propose a novel multi-scale dilated residual convolution module to capture multi-scale contextual information with several dilated receptive fields from the extracted features. Channel-based attention mechanism is provided through squeeze and excitation networks to make the MCFFA-Net focused on the relevant information in the multi-receptive fields. The proposed MCFFA-Net achieves a classification accuracy of 90.86%.Comment: 7 pages, 6 figures, ICCIT 2022 submission, Conferenc

Interpretable Multi Labeled Bengali Toxic Comments Classification using Deep Learning

This paper presents a deep learning-based pipeline for categorizing Bengali toxic comments, in which at first a binary classification model is used to determine whether a comment is toxic or not, and then a multi-label classifier is employed to determine which toxicity type the comment belongs to. For this purpose, we have prepared a manually labeled dataset consisting of 16,073 instances among which 8,488 are Toxic and any toxic comment may correspond to one or more of the six toxic categories - vulgar, hate, religious, threat, troll, and insult simultaneously. Long Short Term Memory (LSTM) with BERT Embedding achieved 89.42% accuracy for the binary classification task while as a multi-label classifier, a combination of Convolutional Neural Network and Bi-directional Long Short Term Memory (CNN-BiLSTM) with attention mechanism achieved 78.92% accuracy and 0.86 as weighted F1-score. To explain the predictions and interpret the word feature importance during classification by the proposed models, we utilized Local Interpretable Model-Agnostic Explanations (LIME) framework. We have made our dataset public and can be accessed at - https://github.com/deepu099cse/Multi-Labeled-Bengali-Toxic-Comments-Classificatio

CARBON NANOTUBE: IMPLEMENTATION OF CARBON NANOTUBE IN SUPERCAPACITOR

This paper deals with the implementation of carbon nanotube as electrode in supercapacitor to store much more energy .the author also consults with the problem may face and try to resolve the problems

Dengue outbreak 2019: clinical and laboratory profiles of dengue virus infection in Dhaka city.

BACKGROUND: Dengue fever has been one of the most common mosquito-transmitted diseases in the world, affecting more than 128 countries in both tropical and subtropical regions. Bangladesh has been sufferring from dengue outbreaks almost annually since 2000, and in 2019, Bangladesh faced the worst outbreak of dengue to date. This study aimed to provide clinical and biochemical profiles of Bangladesh's dengue-infected patients. METHODS: This cross-sectional study was conducted from August through December 2019 in three tertiary private hospitals in Dhaka, Bangladesh. We collected information on demographic data, clinical characteristics, and laboratory profiles for 542 confirmed hospitalized acute dengue cases using a structured questionnaire. RESULTS: The average age of the enrolled patients was 26.15 years, and about 50% of patients belonged to the age group of 20-40 years. The most frequent among the prevalent clinical symptoms were fever (93.1%), abdominal pain (29.5%), skin rash (25.3%), and diarrhea (19.7%). 316 patients had some complications, such as breathing problems (41.4%), pleural effusion (38.9%), gum bleeding (11.1%), etc. More than 90% of the patients showed seropositivity for the DENV-NS1 antigen. CONCLUSIONS: Over the last couple of years, dengue fever has become a major health issue for Bangladesh. To reduce the burden of this disease, timely diagnosis and prompt treatment are necessary. This analysis thus yields the clinical features, laboratory profiles, and seropositivity test results of dengue patients from Bangladesh. The research results may help clinicians understand the circumstantial diagnosis of dengue patients and facilitate early intervention

Effect of Integrated Rice-Duck Farming on Rice Yield, Farm Productivity, and Rice-Provisioning Ability of Farmers

The feasibility of the rice-duck system of rice production, practiced in some East Asian countries, is studied in Bangladesh as a sub-project of the Poverty Elimination Through Rice Research Assistance (PETRRA). The Bangladesh Rice Research Institute (BRRI) implements the sub-project in collaboration with two NGOs, FIVDB and BDS, in the northeastern (greater Sylhet) and southern (Barisal) regions of the country. Each demonstration trial, conducted in the field of the farmers, is treated as a replication. In these trials, the rice-duck system is compared with the methods of growing rice solely, as traditionally practiced by the farmers in Bangladesh. Evaluation of the activities carried out under the PETRRA sub-project shows that the rice-duck system is not only feasible, but also economically rewarding for the farmers. The yield of rice is, on average, 20% higher in the rice-duck system than the traditional rice system (sole rice), thereby ensuring about 50% higher net return and rice-provisioning ability. The ducks in the rice-duck fields control weeds and insects very effectively; as a consequence, labor and pesticide costs for controlling weeds and insects are minimized and the soil health is improved. The ducks provide another source of added income for the farmers. In view of the favorable results obtained in the study, it might be suggested that the rice-duck system be spread throughout the country as an income-generating activity for the resource-poor farmers

Tools and Techniques Adapted for Teaching Software Engineering Topics Remotely during the COVID-19 Pandemic

To stop the spread of the COVID-19 virus, educational institutions abruptly switched from in-person to online, remote mode of teaching without giving educators the necessary tools and training. In this paper, we focus on the Software Engineering Education & Training (SEET) courses at the university levels and address questions like: What tools and techniques did they adapt to handle the modality transition challenges? What lessons they learned and what would they do differently the next time? What are the students' perspective on these, etc.? We interviewed 16 SEET educators from different countries around the world; followed by surveys of more than 300 educator and student participants. Our empirical study found some common themes of challenges, as well as suggestions on tools and techniques to overcome them

Time series analysis of electric energy consumption using autoregressive integrated moving average model and Holt Winters model

With the increasing demand of energy, the energy production is not that much sufficient and that’s why it has become an important issue to make accurate prediction of energy consumption for efficient management of energy. Hence appropriate demand side forecasting has a great economical worth. Objective of our paper is to render representations of a suitable time series forecasting model using autoregressive integrated moving average (ARIMA) and Holt Winters model for the energy consumption of Ohio/Kentucky and also predict the accuracy considering different periods (daily, weekly, monthly). We apply these two models and observe that Holt Winters model outperforms ARIMA model in each (daily, weekly and monthly observations) of the cases. We also make a comparison among few other existing analyses of time series forecasting and find out that the mean absolute percentage error (MASE) of Holt Winters model is least considering the monthly data

Age and sex-specific disability-free life expectancy in urban and rural settings of Bangladesh

Background Disability-free life expectancy (DFLE) has been used to gain a better understanding of the population’s quality of life. Objectives The authors aimed to estimate age and sex-specific disability-free life expectancy (DFLE) for urban and rural areas of Bangladesh, as well as to investigate the differences in DFLE between males and females of urban and rural areas. Methods Data from the Bangladesh Sample Vital Statistics-2016 and the Bangladesh Household Income and Expenditure Survey (HIES)-2016 were used to calculate the disability-free life expectancy (DFLE) of urban and rural males and females in Bangladesh in 2016. The DFLE was calculated using the Sullivan method. Results With only a few exceptions, rural areas have higher mortality and disability rates than urban areas. For both males and females, statistically significant differences in DFLE were reported between urban and rural areas between the ages of birth and 39 years. In comparison to rural males and females, urban males and females had a longer life expectancy (LE), a longer disability-free life expectancy, and a higher share of life without disability. Conclusion This study illuminates stark urban–rural disparities in LE and DFLE, especially among individuals aged < 1–39 years. Gender dynamics reveal longer life expectancy but shorter disability-free life expectancy for Bangladeshi women compared to men, emphasizing the need for targeted interventions to address these pronounced health inequalities