International Journal of Advances in Scientific Research and Engineering (IJASRE), ISSN:2454-8006, DOI: 10.31695/IJASRE
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Comparative Liming Power of Chicken Manure and Selected Dolomitic Sources on an Acidic High Altitude Burundi Surface Soil
Get PDFA research initiative was set up to evaluate the comparative liming power of locally available dolomitic products and chicken manure, using an amaranth (Amaranthus viridis L.) test crop. The soil used was acidic, of low % base saturation and risks of Al toxicity, and deficient in available P, exchangeable Mg, Ca, and K. The experimental setup was a completely randomized design with 11 treatments and 3 replicates which included: a control treatment (equivalent to 100 kg DAP/ha), 4 mineral amendments (Moso Lime, Moso Ground Dolomite, Bubanza Ground Dolomite and Busiga Ground Dolomite) applied at equivalents of 1 T/ha and 2 T/ha, and chicken manure applied at equivalent of 10 and 20 T/ha. The study duration was three months with three test crop harvests at one-month interval. Monthly measured plant growth and production parameters were plant height, root length, shoot length, root biomass, shoot biomass and their summation (total biomass). Soil pH, available P and exchangeable acidity (Al3+ + H+) were assessed at the start and the completion of the pot study. Obtained results could be summarized as follows : (i) the highest available P accumulation was associated with the equivalent of 20 T/ha of chicken manure ; (ii) application of equivalents 20 T/ha of chicken manure, 2 T/ha Moso Ground Dolomite and 2 T/ha Moso Lime increased soil pH by 0.2 to 0.5 pH-units and reduced exchangeable acdity ; (ii) DAP fertilized treatment was characterised by the lowest pH value and the highest Al3+ and H+ exchangeable acidity, illustrating the acidifying effect of this NH4+-bearing fertilizer ; (iv) amarant growth (root and height) and biomass (root + shoot) production were highest with 20 T/ha chicken manure, 2 T/ha Moso Ground Dolomite and 2 T/ha Moso lime. The application rate was only statistically detectable for Moso Ground Dolomite (+ 162 %) and chicken manure (+ 182 %). Overall, 20 T/ha chicken manure showed the highest and most stable amaranth root + shoot biomass yields, demonstrating its potential residual effect, which should be evaluated and confirmed under field conditions.
Towards Personalised Learning in Higher Learning Institutions in Tanzania
Get PDFThis study examines the challenges and students’ perceptions of adopting and implementing e-learning in Tanzanian universities to facilitate the shift towards personalised learning. Although technology and online courses provide chances to customise training for unique student requirements, challenges impede the successful incorporation of e-learning in Tanzanian higher education, particularly regarding user training and technical support. The absence of crucial amenities for online education, such as computer laboratories and dependable internet connectivity, exacerbates the challenges in executing implementation endeavours. We employed a mixed-methods approach to investigate universities’ preparedness for implementing e-learning and evaluate the impact of e-learning platforms and Artificial Intelligence (AI) in facilitating personalised learning experiences. Our findings emphasise the significance of tackling identified obstacles to enhance education quality and provide a basis for customised learning. Subsequent studies should focus on filling the existing voids to improve the incorporation of artificial intelligence in e-learning platforms, explicitly addressing the obstacles faced by universities in underdeveloped nations. The study suggests that institutions should allocate resources towards developing e-learning infrastructure, offer extensive training for instructors, and create customised e-learning methods
IoT Intrusion Detection System based on Machine Learning Algorithms using the UNSW-NB15 dataset
Get PDFThe evolution of communications systems with the advent of IoT is leading to an increase in attacks against them. This is due to the fact that the security of connected objects in the IoT is an emerging area still which requires preventive solutions against various attacks. At the network security level, Intrusion Detection Systems (IDS) are used to analyze network data and detect abnormal behavior in the network. In this work, we implemented different machine learning models to build an intrusion detection system based on the UNSW NB15 dataset. To do this, we did data cleaning and feature engineering on the data in the pre-processing phase. Then we used various models such as logistic regression, SVM classifier, decision tree, random forest, XGBoost in order to predict attacks. Finally, an intrusion detection system is trained on various machine learning algorithms and we selected the most effective model. Experiments were carried out on the UNSW-NB15 dataset and subsequently we compared other machine learning algorithms, and it results that the random forest model on important parameters has a clear advantage in the detection of rare abnormal behaviors
Experimental Study of M20 Grade Concrete Using Packing Density Method
Get PDFPacking density method of mix design of concrete is new method to design different types of concrete. The mix design obtained from the packing density method has suitable workability, maximum packing density and minimum voids ratio. The geometrical characteristics like shape, size and proportion of fine aggregate and coarse aggregate affect packing density. The objective of this research is to study the mix design of concrete using packing density method and develop the correlation between bulk density, packing density and voids ratio. In this work large number of trail to decide the proportion of aggregate for that optimum bulk density and packing density calculated for different varying proportion of 20 mm: 12.5 mm coarse aggregate (i.e. 90:10, 80:20,70:30, 65:35, 60:40 and 50:50) and for varying proportion coarse aggregate: fine aggregate (i.e. 90:10, 80:20, 70:30, 60:40, 55:45 and 50:50). To finalize the mix design using packing density method also varies the percentage of excess cement paste (i.e. 5%, 7%, 9%, 10%, 11% and 12%). Tests were performed for the properties of fresh concrete like workability test (Slump cone) and hardened concrete like compressive strength, split- tensile strength, pull-out test, rebound hammer and flexural Test etc. tests were determined at 7, 14 and 28 days. The obtained results for above mentioned test using packing density method at 9% of excess cement paste are satisfying the standard results
A Proposed Blockchain-Based Digital-Identity Management using ERC 725/735
Get PDFIn modern technology, the ownership of electronic data is the key to securing their privacy and identity from any trace or interference. Therefore, a new identity management system called Digital Identity Management, implemented throughout recent years, acts as a holder of the identity data to maintain the holder’s privacy and prevent identity theft. Therefore, an overwhelming number of users have two major problems, users who own data and third-party applications will handle it, and users who have no ownership of their data. Maintaining these identities will be a challenge these days. This paper proposes a system that solves the problem using blockchain technology for Digital Identity Management systems. Blockchain is a powerful technique to build a digital identity in chain matters that enables a secure environment. The idea of Blockchain is to distribute the data across multiple devices in a cryptographic way, which will reduce the ability to an impossible level. Therefore, in this paper a proposed Digital Identity based on Blockchain (ERC 725, and ERC 735) with MD6 as a hashing algorithm will be implemented in a Secure smart contract can prevent function calls from being carried out until the sender has received confirmation from a reliable issuer; for example, we might include a feature that restricts smart contract interactions to legitimate users only. Many additional use cases are possible with ERC-725, including multi-sig execution approvals and contract call verification in place of key validation
Magnetic Field-Based Data Transfer: Advancements and Applications in Modern Technology
Get PDFThis research explores an innovative technology in the field of data transfer using magnetic fields, outlines the areas of its use as well as approaches and methods of implementation of this technology in various industries and the associated benefits. In total, eight approaches are studied: a Bidirectional Inductive Power Transfer system for electric vehicles magnetic field modems magnetic transfer on perpendicular magnetic recording mediums, magnetic transfer apparatuses, magnetic data cables, modulated magnetic fields for data transmission, magnetic transfer devices having a field-generating unit, and magnetic field communication transmission terminals. Each of these areas uses the properties of the magnetic field to be more efficient in terms of data and power transmission, ensuring low levels of interference and a lack of problems with a physically stable connection. The definition of the approach is selected based on the performance metrics, thereby showing the benefits in the form of increased power and data transmission, reduced data processing time, and cost-effectiveness. Thus, there is a possibility of radical improvement in all the presented areas with the help of data transfer based on a magnetic field, which allows confirming the areas of application of the digital revolution
Standards of Education Management in the Quality of Tsanawiyah Madrasah
Get PDFThis research aims to describe the implementation and explain the factors that influence the implementation of Educational Management in Madrasah Quality at Madrasah Tsanawiyah (MTs) Surban Pacet based on the Regulation of the Minister of Education, Culture, Research and Technology of the Republic of Indonesia number 47 of 2023 Concerning Education Management Standards. The methodology used in this research includes a qualitative approach, utilizing data collected from various sources, including school records, interviews with educators and administrators, and direct observation. This research is based on public administration theory, especially those related to policy implementation and education management. The results of this study indicate that although there is general awareness of the regulations among school staff, there are significant challenges in implementing them. These challenges include limited understanding of standards among educators, inadequate resources, and insufficient training and development opportunities. In addition, the dual management system involving the Ministry of Education and the Ministry of Religion creates additional complexity in the implementation process. This research concludes that for successful implementation of education management standards, educators need comprehensive training, better resource allocation, and more integrated coordination between the two ministries that oversee madrasa education. These steps are essential to ensure that management standards meet regulatory requirements and contribute to improving the overall quality of education at MTs Surban Pacet. This research contributes to public policy and education management by providing insight into the practical challenges of implementing policies in the education sector, particularly in religious schools in Indonesia. This research emphasizes the importance of tailored strategies and support systems to increase the effectiveness of educational management practices
Social Engineering Awareness Evaluation in University of Abuja: A Pragmatic Approach
Get PDFSocial Engineering is one of the most significant security threats facing organizational systems and data in today’s technology-saturated world. It is considered a challenge for security chains, and attacks are increasing sharply. The study aimed to assess the level of Social Engineering Awareness within the University of Abuja through a Pragmatic Approach. A total of 101 participants took part in the survey and practical experiment. Results indicated a concerning lack of awareness, with 63% of respondents having no prior knowledge of Social Engineering and its attack vectors, while only 37% demonstrated awareness. Further analysis revealed that phishing emerged as the most prevalent Social Engineering attack vector, with 50% of respondents reporting victimization. Additionally, a significant portion of participants (53%) were unaware of whether their personal computers were compromised, highlighting a lack of technological know-how and awareness as key factors contributing to vulnerability. Considering the widespread use of public computers and networks among respondents, the study underscored the high potential for successful social engineering attacks within the University community. These findings shed light on the urgent need for enhanced Social Engineering awareness and cybersecurity measures within the University of Abuja
Development of an Electrical circuit with Arduino implementation to automate a Peltier Thermoelectric cooling system
Get PDFThe emergence of refrigerators marked a significant technological evolution by extending the preservation of perishable goods, a pursuit that dates back to times prior to the 20th century. Driven by technological advancements, this area of notable impact on human progress strives to create automated devices to integrate daily activities, satisfying fundamental needs. In this context, the present work aims at a comprehensive understanding of automated systems and the application of concepts such as electricity, heat transfer, and Peltier cooling technology. The core of this project lies in the development of a deep understanding of automated systems, with an emphasis on constructing an automated cooling system. This system utilizes an Arduino board as a central component, playing the pivotal role of regulating and controlling the cooling process. The ability for timely shutdown, as determined by the user, constitutes a key element, minimizing component wear and, consequently, extending the system's lifespan. The project's execution required analytical calculations to underpin prototype development. The Arduino board, in conjunction with Peltier cooling technology, resulted in an automated cooling system, providing proper preservation of temperature-sensitive products. In summary, the research illustrates the trajectory of refrigeration systems' evolution from their invention to the current era, where automation and technological integration are predominant factors. The study underscores the importance of understanding automated systems, electricity, and cooling technologies, demonstrating their practical application in constructing a functional prototype aligned with contemporary needs for preservation and energy efficiency
Study of Turning process with Minimum Qquantity Lubrication (MQL) using Nano-cutting fluids
Get PDFThe cutting fluid is important in any metal cutting operation, for chilling the cutting tool and the surface of the workpiece, by lube the tool-workpiece interface and removing chips from the cutting zone. Freshly, many researchers have been focusing on minimum quantity lubrication (MQL) among the many methods existing on the application of the coolant as it reduces the usage of coolant by jetting a mixture of compressed air and cutting fluid in an improved way instead of flood cooling. The MQL method has been incontestable to be appropriate as it fulfills the requirement of ‘green’ machining. In the current study, firstly, various lubrication methods were introduced which are used in machining processes, and then, basic machining processes used in manufacturing industries in turning. The comprehensive reappraisal of various nanofluids (NFs) used as lubricants by different researchers for machining process is presented. Based on the studies, it can be concluded that utilizing NFs as coolant and lubricant lead to lower tool temperature, tool wear, higher surface quality, and less biology dangers. However, the high cost of nanoparticles, need for devices, agglomeration, and deposit are still challenges for the NF applications in metalworking operations. At last, the article identifies the opportunities for using NFs as lubricants in the future. It should be stated that this work offers a clear guideline for utilizing MQL and MQL-nanofluid approaches in turning processes. This guideline shows the physical, tribological, and heat transfer mechanisms associated with employing such cooling/lubrication approaches and their effects on different machining quality characteristics such as tool wear, surface integrity, and cutting forces