Assam Don Bosco University Journals
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Assessment of the Drivers of Domestic Water Consumption Pattern in Idahlga, Kogi State
Get PDFThis study assessed the drivers of domestic water consumption pattern in Idah LGA, Kogi State. It focuses on the analysis of the sources of water, the magnitude of household water demand, consumption pattern of water, factors influencing consumption pattern of household water, and the relationship between domestic water supply and consumption pattern in Idah. The methodology involves the use of questionnaires, oral interview, and personal observation to gather necessary information. The sample size of four hundred (400) was selected using simple random technique. The results from the study revealed that boreholes (48.6%) and rivers (47.5%) are the major sources of water to households. The study further revealed that consumption and supply of water are 105.1 liters and 110.4 liters respectively per person per day. It was also revealed that the household activity that consumed more water is cloth washing. The study also revealed that household size (33.6%) is the major determinant of water consumption pattern in the area under study. A large positive linear relationship between the household water consumed and water supplied was found. These factors should be considered in water supply planning in low and middle income countries with limited access to safe potable water, along with interventions which control water wastage
Enhancement of detection mechanisms for HTTP based DoS/DDoS attacks
Get PDFDoS (Denial of Service) and DDoS (Distributed Denial of Service) attacks are some of the vicious network layer attacks present in the world. More than 5.4 million DDoS attacks were reported in the first half of 2021. HTTP based Dos and DDoS attack, a type of DoS and DDoS attack, is a threat to the web applications as it brings damage to the application and the business. This paper sheds light on the current detection mechanisms of HTTP based DoS and DoS attacks and the limitations identified in these detection mechanisms. This paper focuses on the mitigation strategies for the HTTP based DoS and DDoS attacks. It is imperative to create efficient solutions to defend against such cyber-attacks and ensure proper network security in workplaces
IoT-Based Weather Monitoring System
Get PDFWeather is hard to predict and has great significance in many regular activities. A weather station is an instrument or device that provides weather information in a local area. It serves a valuable role in the field of agriculture, industry, etc. for making informed decisions. The current weather stations available in the market are expensive and sometimes bulky also which causes inconvenience. The IoT-based weather station designed in the present work uses sensors and other components centrally controlled by a Raspberry Pi to detect, record and display various weather parameters such as temperature, humidity, wind speed, etc. in a specific location. The prototype design includes three DHT11 sensors for measuring temperature, a BME280 sensor for pressure and humidity, a cup anemometer for wind speed, and a rain gauge for determining the amount of rainfall. This work can be further extended to predict the weather as well
Sentiment Analysis of Assamese Text Reviews: Supervised Machine Learning Approach with Combined n-gram and TF-IDF Feature
Get PDFSentiment analysis (SA) is a challenging application of natural language processing (NLP) in various Indian languages. However, there is limited research on sentiment categorization in Assamese texts. This paper investigates sentiment categorization on Assamese textual data using a dataset created by translating Bengali resources into Assamese using Google Translator. The study employs multiple supervised ML methods, including Decision Tree, K-nearest neighbour, Multinomial Naive Bayes, Logistic Regression, and Support Vector Machine, combined with n-gram and Term Frequency-Inverse Document Frequency (TF-IDF) feature extraction methods. The experimental results show that Multinomial Naive Bayes and Support Vector Machine have over 80% accuracy in analyzing sentiments in Assamese texts, while the Unigram model performs better than higher-order n-gram models in both datasets. The proposed model is shown to be an effective tool for sentiment classification in domain-independent Assamese text data
Gate Centric Extended Source SOI TFET
Get PDFAn alternative SOI TFET structure precisely GCES SOI TFET has been proposed and studied in this paper by modifying its gate length for three different values. The proposed structure considering point and line tunneling has been derived and validated by simulation. The device is optimized to suitable VDS of 0.1V, extended source alignment with the center position of gate and optimum drain contact position. The transfer characteristics, band diagrams, electric field and potential distributions are examined as the device performance parameter. The results distinctly exhibit that the device performs best when gate length is 10nm having SS as low as 19.8mV/dec and ratio of ON/OFF current as 1015. SS increases and ON current decreases by a negligible scale when quantum confinement has been taken into account due to discrete energy band at the source channel interface using Schrӧdinger-Poisson model. The simulations are performed using Silvaco, Atlas. Moreover, the GCES SOI TFET inverter is characterized by SPICE calibration, provides a higher gain of 16 at lower VDD=0.2V
Indian Millennials Attitude towards Cryptocurrencies
Get PDFCryptocurrency has emerged as a major turning point for the financial industry and seen as a significant fintech revolution. The cryptocurrency market is extremely volatile and the regulation of cryptocurrency differs from region to region, which makes it a challenging area not just for practitioners but also for academicians. The present study makes an attempt to understand the attitude of Indian millennials towards cryptocurrency. the study is based on the theoretical framework of Technology Acceptance Model (TAM) and uses a sample of 120 respondents to examine the impact of factors, namely, perceived ease of use, perceived risk, personal innovativeness, and social influence. This study indicates that personal innovativeness, the perceived ease of using the technology, and social influence has a significant positive influence on the attitude towards cryptocurrency. Perceived risk was found to have a negative but significant impact on attitude towards cryptocurrency. Personal innovativeness emerged as the most important factor having a positive influence on attitude which was followed by social influence and perceived ease of use. The results of the study has important theoretical as well practical implications which are discussed at the end of the paper. Keywords: cryptocurrency, millennials, TAM, Indi
Object detection and conversion of text to speech for visually impaired
Get PDFAssistive technologies are being developed for visually impaired people in order to live confidently[1]. In this project work, we aim to develop a system which would help blind persons get information about objects present in their surroundings in their daily lives. The project work is framed into two stages. First, image is captured using a portable camera module, if the object is identified as cell phone, person, book or as such, then the detected object is matched with a predefined dataset. A predefined dataset is loaded in order to match the detected object with the captured image. Secondly, once it is matched the recognized text is synthesized for producing speech output. Text to speech conversion successfully converts the detected object into an audio signal using the gTTs Module with the help of the iPython audio library. The objective of the TTS is the conversion of text into a natural language. It is not only applicable for the visually impaired but also to any normal human beings who are willing to read the text as a speech as quickly as possible. The entire system is de-signed using the YOLOv4 model trained on the MS COCO dataset through a laptop. The entire system is processed by using Python as the programming languag
Design of self-cured geopolymer concrete using Taguchi approach
Get PDFGeopolymer concrete is the most suitable alternative to conventional concrete. It needs high-temperature curing to achieve better mechanical and durability properties, which is not possible on many Indian construction sites. Therefore, this research explores the effect of Variables like the quantity of aluminosilicate material (ASM), the ratio between Alkaline solution to the quantity of aluminosilicate material (AL/ASM), sodium silicate and sodium hydroxide ratio (SS/SH), and molarity of sodium hydroxide (SH) on the compressive strength and water absorption of Self-Cured Geopolymer Concrete (SCGC). The aforementioned properties have been optimized using the Taguchi approach and non-destructive testing (NDT) has also been performed on SCGC specimens. Along with the experimental work, a mathematical model was also developed using multiple regression analysis for predicting the compressive strength and water absorption of SCGC specimens. SCGC has been developed in an environment where temperature and humidity are not controlled. The experimental results inform that the specimen with ASM of 450 kg/m3, AL/ASM ratio of 0.45, SS/SH ratio of 1.5, and molarity of SH 12M provides maximum compressive strength and minimum water absorption. The pattern of the Signal-to-noise ratio (S/N) curve of the NDT is alike to that of the destructive tests (DT). The findings predicted by the polynomial regression equations are identical to the experimental results compared to the linear regression equation. It has also been found that SCGC of M25 grade can be developed without controlling temperature and humidity.
Influences of religious belief and cultural values and norms on climate-smart agriculture (CSA) adoption: Insights from Northern Ghana
Get PDFAgricultural decision-making processes and the uptake of farming practices are often driven by assets, resource ownership and access, including cultural values, and religious beliefs.Yet there are limited studies on how the religious belief and cultural value systems affect the adoption of CSA practices among farmers in Ghana. This study examined the influences of religious belief and cultural values on CSA adoption among farmers in Nandom District of Ghana’s Upper West Region, Ghana. A qualitative approach involving 35 in-depth interviews and 4 Focus Group Discussions (FGDs) was used to gather data from farmers. We found that: people`s belief system about climate change affects their adoption of CSA practices;value systemsinfluence their willingness to adopt certain CSA practices;religious belief and traditional values are essential factors with greater influence in agricultural decision-making process.Working with belief and value systems is crucial for scaling up CSA practices.