International Journal of Advances in Scientific Research and Engineering (IJASRE), ISSN:2454-8006, DOI: 10.31695/IJASRE
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Effect of Climate Change on Energy Utilization in Residential Buildings
Get PDFNigeria’s climate has been changing, evident in: increases in temperature; variable rainfall; rise in sea level and flooding; drought and desertification; land degradation; heat wave and more frequent extreme weather events. Its effects are mainly caused by excessive emission of greenhouse gases (GHG) in the atmosphere from various sources. Owing to these unhealthy activities of man in his environment, the most widely accepted climate change scenarios predict increases of between 1 and 3.5°C for the global annual average temperatures. These effects have largely impacted the tropical monsoon climate, the climatic zone where Owerri, the capital city of Imo state lies. To ascertain the position of this work, this research studies the variables of climate change in Owerri, and quantitatively analyses primary data collected from respondents residing in Imo state using statistical models. The research findings were based on a survey carried out on the selected residents in Owerri to measure their energy utilization in responding to thermal changes in their environment which is a result of changes in temperature, humidity, and precipitation of the study area from 1979 to 2021. Previous research findings on this study area have revealed that much has not been done in promoting energy efficient designs to ensure a healthy living condition of users in building spaces owing to deficiency in a detailed study on the impact of climate change on energy utilization in residential buildings in Owerri. The results from this research are geared towards proposing adaptive strategies and system upgrade solutions to address energy utilization issues in residential buildings emanating from climate change.  
The Effect of Cyber Security Risks on E-Governance usage: A Case Study of Tanzanian Immigration Department
Get PDFThe use of e-Governance, has offered citizens a convenient, efficient and transparent manner of enjoying most important services. However, ICT services are prone to cyber security threats which can hinder the effective and efficient usage of e-Governance services. This study assessed the effect of cyber security threats and risks on the Tanzania e-Governance services usage at the Immigration department. The study has used an exploration research design to collect primary data from 113 randomly sampled respondents at the Tanzania Immigration department. The data was analysed descriptively to determine the frequency and mean relationships between the variables. Additionally, a regression model has been used to determine the direction of relationships between the independent and dependent variables. The findings revealed that 93.8% of the respondents are aware of the e-Governance services. However, this is not proportional to the e-Governance usage since only 27.4% of the responding officers indicated that they are frequent users of the service. The study further indicate that the system faces minimal security risks at the department which is a result of well-established security defense system such as the use of strong and frequent password change. The study recommends e-governance service operators should constantly monitor the systems to identify threats, develop a more user-friendly architecture, and promote adoption among Tanzanians
Design and Implementation of Inventory Management System in the Analytical Development Laboratory
Get PDFThe importance of information technology in a company to support the running of business processes in the company effectively. With the existence of information technology, incoming and outgoing goods can be recorded properly so as to minimize the occurrence of stock outs of goods that are not regulated. Until now, the inventory system in companies, especially in the Analytical Development Laboratory, still uses a manual process, namely using a logbook, starting from usage, purchasing requests and stock-taking processes, which are still done manually. Data collection was carried out by means of observation, interviews, and field studies. The waterfall method used by the authors in this study uses the working principles of this method, namely from needs analysis, design, implementation, verification, and maintenance. The existence of this latest system will further accelerate the processing of raw material information and reduce stock outs at the Analytical Development Laboratory. This system is made using Microsoft Access applications from design to databas
QR Code and Fingerprint Systems for University Examinations Management
Get PDFSeveral universities and other higher learning institutions throughout Tanzania use paper-based attendance systems and the old file system for recording student attendance during university examinations. The paper-based attendance system has several impediments, including chances of impersonation and the possibility of doing an examination without meeting requirements. Moreover, hard copy work is tedious and prone to vandalism or data loss due to paper misplacement or destruction. Several electronic general-purpose attendance systems and fewer attendance systems are engineered for university attendance management. However, university examination regulations conflict with those systems. Henceforth, there is a gap in their applicability and adaptability. This study developed a QR code and fingerprint attendance prototype that resolves the shortcomings of existing electronic attendance systems. Fingerprints determined students’ identity during entry and exit sessions, while the QR code determined students’ examination answer booklet IDs during exit sessions. To assess the effectiveness of the attendance prototype, a sample of 120 students and 20 invigilators experimented with the prototype. The study findings show that the QR code and fingerprint systems are applicable and effective for managing university examination attendance in Tanzania. In addition, the study provides areas for future research
The Effect of Green Organizational Culture, Green Competence and Organizational Competence on Employee Performances: A Case Study of Green Hotels in Yogyakarta and Center Java
Get PDFThis study aims to analyze the impact of green organizational culture on employee performance, analyze the impact of green competence on employee performance, and analyze the impact of organizational engagement on employee performance in green hotels in Yogyakarta
The survey method used in this research included 540 people, including all employees of five-star hotels in Central Java and Yogyakarta that implement the concept of green environmental protection. The sampling technique used the Slovenian formula, resulting in data from 110 study samples. Then analyze the collected data. The analysis technique used structural equation modeling (SEM) analysis.
The results show that green organizational culture has a significant impact on employee performance and that green competence also has a significant impact on employee performance, and then the importance of organizational engagement on employee performance
Effect of Chemical Corexit 9527 on 28 Day old TILAPIA GUINEENSIS FINGERLINGS
Get PDFThe toxicity of the chemical Corexit 9527 to 28-day-old freshwater tilapia guineensis fingerlings was studied in the static renewal bioassay glass tank, using tap water. The 28-day-old tilapia guineensis fingerlings collected from Ikpoba Hill River, Edo State were used to access lethal concentrations of the dispersant Corexit 9527. Differential sensitivity of test organisms to Corexit 9527 was observed. This was achieved by predictive application. The LC50 is actually used as an estimate of the incipient lethal level which is also called the lethal threshold concentration, asymptotic LC50, or tolerant limit. The incipient lethal level is the concentration at which half the population will die in an indefinite period of time. It is estimated by the LC50 at that time for no further toxicity has been observed. This steady state LC50 is the incipient lethal level. In fish tests, this often occurs within 4 days, and this is one rationale behind the 96-hour length for a standard acute fish test.The median lethal concentration LC50 of the dispersant Corexit 9527 on tilapia guineensis was determined using a computerized probit analysis according to the methods of Finney. The median lethal concentration, LC50 for the 28-day-old tilapia guineensis was 409.71mg/l and 367.20mg/l for 3 and 4 days respectively. The 28-day-old tilapia guineensis showed a high-level tolerance to lower concentrations of Corexit 9527 and high-level toxicity at the highest concentration which recorded 100% mortality even at a 24-hour exposure period
Natural Language Processing-Enabled Framework for Regional Crime Analysis Using Unstructured Text: A Case of Abuja, Nigeria
Get PDFAbstract
Background: Globally, criminal activities have significantly increased over the years, which makes the need for a reliable and insightful analytical approach increasingly vital to take proactive measures. Specifically, Abuja is one of the fastest-growing cities in sub-Saharan Africa. The city is however constrained by the current approaches in crime analysis toward proactive decision-making. Thus, presenting an ardent need for this research to provide safety and security to the civilian population, especially those within the crime-prone area(s).
Objective: Objective of this research is to develop a framework for crime analysis by identifying the regional frequency of the crimes committed in some selected parts of Abuja, FCT.
Method: This research with the aid of the Natural Language Processing approach, crime reports from 2015 to 2021 of Wuse, Garki, Gwagwalada, Nyanya, Maitama and Utako comprising murder, kidnapping, theft, juvenile delinquency and homicidal acts established by the Nigerian Police Command was used to extract textual data therefrom. Using Orange data mining, which is a python-based environment; the reports were transformed to and pre-processed. Thereafter, crimes were mapped regionally using a visually appealing visualization technique known as Word cloud.
Results: This essentially, clustered crimes based on their frequencies and regionally. This approach revealed critical details required proffering insights towards decision-making required for crime mitigation. In addition, to ascertain the relationship between crime hotspots the police divisional stations and slum settlement in the study area.
Conclusion: The higher education attainment will be the cure for criminal activities in Nigeria. Government should also create more jobs because high unemployment rates will compel people to commit crimes and this will increase crime rate in Nigeria. Lastly, there should be high budgetary provision towards poverty alleviation programme because higher poverty may lead to higher crimes rate due to depression or mental illness associated with being poor and this will decrease the rate of return of legal activities and more likely to increase return of illegal activities
Design and Development of Robot for Industrial Pipe Cleaning and Inspection
Get PDFNowadays many industries used different diameter pipes for different applications like carrying chemicals, high-pressure steam, and gasses hence there may be chances of problems like corrosion, and leakages. The proposed system suggests the robot will be built to clean the residues that are built up inside the pipe. This is done through a brushing mechanism. Not only this robot will also be able to relay live video feedback from the ground to the controller that the user has. By this, the users can verify the cleaning that is done by the robot
An Improved Intrusion Detection in Wireless Sensor Networks Using Hybrid Multiclass Over-Sampling and Deep Neural Networks
Get PDFWith the emergence of new attacks, there is a continual need for innovative approaches that can closely monitor and swiftly adapt to evolving threats. IDSs can be broadly categorized into misuse detection and anomaly detection, each utilizing machine-learning methods. Machine learning algorithms, particularly those relying on datasets like DARPA and KDD Cup 1999, have gained popularity. However, challenges include dataset limitations, overfitting, and the requirement for substantial computational power. This study focuses on the specific problem of class imbalance in Wireless Sensor Networks (WSN) datasets for intrusion detection. Existing techniques, such as oversampling and undersampling, have limitations, and the imbalance poses challenges for accurate intrusion detection model development. The research aims to develop an enhanced intrusion detection model addressing multiclass imbalance through an optimized KNN-SMOTE oversampling technique integrated with a Deep Learning model. The significance lies in its potential to greatly enhance the accuracy of intrusion detection systems, contributing to the security of computer networks. The study's scope involves static dataset analysis and multiclass classification of intrusion attacks. The research questions revolve around the development of a multiclass oversampling technique, a hybrid model, and the performance evaluation of the developed system in comparison to existing IDS. The research proposes a novel OK-SMOTE-DL model combining the potential of the KNN model, firefly algorithm, and the SMOTE model fused with Deep Learning techniques to help create a better model for handling multiclass intrusion datasets that can similarly detect minority classes effectively in wireless sensor networks
Socio Economic Effects of Water Management on household livelihoods at Busiga commune of Ngozi Province in Burundi
Get PDFWater is essential for all life on Earth. It provides many environmental goods and services that are of economic benefit to society. Water is a variable parameter for different applications in the fields of climate system, hydrology, and most critically in agriculture. Despise these benefits, water resources seem to face severe quantitative and qualitative threats worldwide especially in Burundi at Gatika and Rugori, hills where water was lost in several ways especially during the rainy season where floods coupled with erosion washed away crops. To cope with this trend, a study has been carried out with water management through different methods such as suspended barrels, micro-irrigation and cemented well to stabilize water resources in the region. The results of this study highlighted the effectiveness of water management on these two hills. It has played a major role in enabling famer to cultivate many abandoned plots through irrigation with water stocked in barrels and well. Furthermore, environment protection from flood and erosion was observed. Moreover, the outcomes showed improved crop production and yield, resulting in improved food security ascribed to diversified crops production. Likewise, enhancement of monthly income has been pointed out. The study encourages the population to undertake water management methods to boost the agro economy systems and benefit its advantages