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Full-Text Articles in Engineering

Citdet, Jordan A. James, Heather K. Manching, Matthew R. Mattia, Kim D. Bowman, Amanda M. Hulse-Kemp, William J. Beksi Apr 2024

Citdet, Jordan A. James, Heather K. Manching, Matthew R. Mattia, Kim D. Bowman, Amanda M. Hulse-Kemp, William J. Beksi

Computer Science and Engineering Datasets

The CitDet dataset is composed of images captured at the USDA Agricultural Research Service Subtropical Insects and Horticulture Research Unit in Fort Pierce, FL, USA. Data was collected between October 2021 and October 2022. 579 images were captured from different sections of the orchard using the open-source application Field Book on Android tablets. While collecting images, we faced the camera in a portrait orientation directly centered on the tree of interest. All images were taken at the edge of the soil in the tree row to simulate a ground-based robot imaging the tree while moving between two rows of trees. …


Human-Machine Communication: Complete Volume. Volume 7 Special Issue: Mediatization Apr 2024

Human-Machine Communication: Complete Volume. Volume 7 Special Issue: Mediatization

Human-Machine Communication

This is the complete volume of HMC Volume 7. Special Issue on Mediatization


Artificial Sociality, Simone Natale, Iliana Depounti Apr 2024

Artificial Sociality, Simone Natale, Iliana Depounti

Human-Machine Communication

This article proposes the notion of Artificial Sociality to describe communicative AI technologies that create the impression of social behavior. Existing tools that activate Artificial Sociality include, among others, Large Language Models (LLMs) such as ChatGPT, voice assistants, virtual influencers, socialbots and companion chatbots such as Replika. The article highlights three key issues that are likely to shape present and future debates about these technologies, as well as design practices and regulation efforts: the modelling of human sociality that foregrounds it, the problem of deception and the issue of control from the part of the users. Ethical, social and cultural …


Mediatization And Human-Machine Communication: Trajectories, Discussions, Perspectives, Andreas Hepp, Göran Bolin, Andrea L. Guzman, Wiebke Loosen Apr 2024

Mediatization And Human-Machine Communication: Trajectories, Discussions, Perspectives, Andreas Hepp, Göran Bolin, Andrea L. Guzman, Wiebke Loosen

Human-Machine Communication

As research fields, mediatization and Human-Machine Communication (HMC) have distinct historical trajectories. While mediatization research is concerned with the fundamental interrelation between the transformation of media and communications and cultural and societal changes, the much younger field of HMC delves into human meaning-making in interactions with machines. However, the recent wave of “deep mediatization,” characterized by an increasing emphasis on general communicative automation and the rise of communicative AI, highlights a shared interest in technology’s role within human interaction. This introductory article examines the trajectories of both fields, demonstrating how mediatization research “zooms out” from overarching questions of societal and …


Review Of Methodological Decisions In Life Cycle Assessment (Lca) Of Biorefinery Systems Across Feedstock Categories, James Gaffey, Maurice N. Collins, David Styles Apr 2024

Review Of Methodological Decisions In Life Cycle Assessment (Lca) Of Biorefinery Systems Across Feedstock Categories, James Gaffey, Maurice N. Collins, David Styles

Publications

The application of life cycle assessment (LCA) to biorefineries is a necessary step to estimate their environmental sustainability. This review explores contemporary LCA biorefinery studies, across different feedstock categories, to understand approaches in dealing with key methodological decisions which arise, including system boundaries, consequential or attributional approach, allocation, inventory data, land use changes, product end-of-life (EOL), biogenic carbon storage, impact assessment and use of uncertainty analysis. From an initial collection of 81 studies, 59 were included within the final analysis, comprising 22 studies which involved dedicated feedstocks, 34 which involved residue feedstocks (including by-products and wastes), and a further 3 …


Real-Time Vehicle And Lane Detection Using Modified Overfeat Cnn: A Comprehensive Study On Robustness And Performance In Autonomous Driving, Monowar Hossain Saika, Sonjoy Paul Avi, Kazi Toriqul Islam, Tanjida Tahmina, Md Shahriar Abdullah, Touhid Imam Apr 2024

Real-Time Vehicle And Lane Detection Using Modified Overfeat Cnn: A Comprehensive Study On Robustness And Performance In Autonomous Driving, Monowar Hossain Saika, Sonjoy Paul Avi, Kazi Toriqul Islam, Tanjida Tahmina, Md Shahriar Abdullah, Touhid Imam

Civil Engineering Faculty Publications and Presentations

This examination researches the use of profound learning methods, explicitly utilizing Convolutional Brain Organizations (CNNs), for ongoing recognition of vehicles and path limits in roadway driving situations. The study investigates the performance of a modified Over Feat CNN architecture by making use of a comprehensive dataset that includes annotated frames captured by a variety of sensors, including cameras, LIDAR, radar, and GPS. The framework shows heartiness in identifying vehicles and anticipating path shapes in 3D while accomplishing functional rates of north of 10 Hz on different GPU setups. Vehicle bounding box predictions with high accuracy, resistance to occlusions, and efficient …


Research On 3d Printing Resin Exposure Properties And Its Application On Centrifugal Microfluidic Platform Based On Fluorescence Detection, Zheng Qiao Apr 2024

Research On 3d Printing Resin Exposure Properties And Its Application On Centrifugal Microfluidic Platform Based On Fluorescence Detection, Zheng Qiao

LSU Doctoral Dissertations

This dissertation encapsulates significant advancements in the field of SLA 3D printing and centrifugal microfluidics. Central to the research is the development of a novel mathematical model for predicting trapped resin thickness in SLA 3D printing, a groundbreaking contribution that addresses a critical aspect of printing intricate structures. This model, the first to establish a mathematical relationship for resin thickness, is rooted in a comprehensive study of the resin curing process. The research leverages the concept of 'critical dosage' for resin curing, leading to a more refined and theoretically grounded approach for calculating curing thickness. Experimentation further validates the model, …


Physical And Geometrical Modulation Of Human Fibroblast Behaviour, Sarah M. Brooks Apr 2024

Physical And Geometrical Modulation Of Human Fibroblast Behaviour, Sarah M. Brooks

Electronic Thesis and Dissertation Repository

This thesis investigates the impact of mechanical stimuli, specifically substratum topography and elastic modulus, on dermal and gingival fibroblast behaviour associated with scarring and regeneration. Scar formation presents a significant issue for implanted biomaterials often leading to device failure. Even though scar formation is a normal end point to adult human dermal wound healing, gingival wounds are capable of tissue regeneration or scarless wound healing. Understanding how these cells respond to environmental cues, including substratum topography and elastic modulus, is central to the development of novel biomaterials for stimulation of tissue regeneration. It was hypothesized that topographic features, with submicron …


Voltage Scaled Low Power Dnn Accelerator Design On Reconfigurable Platform, Rourab Paul, Sreetama Sarkar, Suman Sau, Sanghamitra Roy, Koushik Chakraborty, Amlan Chakrabarti Apr 2024

Voltage Scaled Low Power Dnn Accelerator Design On Reconfigurable Platform, Rourab Paul, Sreetama Sarkar, Suman Sau, Sanghamitra Roy, Koushik Chakraborty, Amlan Chakrabarti

Electrical and Computer Engineering Faculty Publications

The exponential emergence of Field-Programmable Gate Arrays (FPGAs) has accelerated research on hardware implementation of Deep Neural Networks (DNNs). Among all DNN processors, domain-specific architectures such as Google’s Tensor Processor Unit (TPU) have outperformed conventional GPUs (Graphics Processing Units) and CPUs (Central Processing Units). However, implementing low-power TPUs in reconfigurable hardware remains a challenge in this field. Voltage scaling, a popular approach for energy savings, can be challenging in FPGAs, as it may lead to timing failures if not implemented appropriately. This work presents an ultra-low-power FPGA implementation of a TPU for edge applications. We divide the systolic array of …


A Scalable Approach To Minimize Charging Costs For Electric Bus Fleets, Daniel Mortensen, Jacob Gunther Apr 2024

A Scalable Approach To Minimize Charging Costs For Electric Bus Fleets, Daniel Mortensen, Jacob Gunther

Electrical and Computer Engineering Faculty Publications

Incorporating battery electric buses into bus fleets faces three primary challenges: a BEB’s extended refuel time, the cost of charging, both by the consumer and the power provider, and large compute demands for planning methods. When BEBs charge, the additional demands on the grid may exceed hardware limitations, so power providers divide a consumer’s energy needs into separate meters even though doing so is expensive for both power providers and consumers. Prior work has developed a number of strategies for computing charge schedules for bus fleets; however, prior work has not worked to reduce costs by aggregating meters. Additionally, because …


Research In Robotics: Vex Robotics, Dylan Wagner, Darec Wagner, Lyric Yost, Alexander Redinger, Yue Fan, Mark Hamrick, Mufeng Shen, Lawrence Yan Apr 2024

Research In Robotics: Vex Robotics, Dylan Wagner, Darec Wagner, Lyric Yost, Alexander Redinger, Yue Fan, Mark Hamrick, Mufeng Shen, Lawrence Yan

SACAD: John Heinrichs Scholarly and Creative Activity Days

Throughout the past year our group has been working toward the construction of a robot. Our goal with this robot was to compete in the competition laid out by VEX robotics. Our robot would be built using the VEX robotics pieces as well as some custom-made parts. We utilized the engineering design process to ensure that we were working as efficiently as possible, whilst also working towards making the greatest bot. The first semester had us split into two teams, with both going to Pittsburgh KS to compete against other universities from across the state. After this competition, we combined …


Successful Rocket Launch In Argonia, Seungyou Cho Apr 2024

Successful Rocket Launch In Argonia, Seungyou Cho

SACAD: John Heinrichs Scholarly and Creative Activity Days

The object of launching the PK-56 (The name of the kit) rocket is how to take off and land safely using the parachute deployment. To inspect the engineering process, I tried to get an L1 certification from Tripoli Rocketry Association who is judging whether the rocket was flying stable. This consisted of building the structure, deployment system, engine system, anddesigning process. The most important thing was to read the instructions thoroughly, and to build a safe rocket.

Since launching high-power rockets needs a comprehensive understanding of those processes, I tested with small rocket with a motor that impulses 1.26 N …


Numerical Study Of Ozone Decomposition Reaction Behaviours In Gas-Solids Circulating Fluidized Bed Reactors, Zhengyuan Deng Apr 2024

Numerical Study Of Ozone Decomposition Reaction Behaviours In Gas-Solids Circulating Fluidized Bed Reactors, Zhengyuan Deng

Electronic Thesis and Dissertation Repository

This study numerically investigated the reaction behaviours of catalytic ozone decomposition reaction in a 10.2-meter-tall gas-solids circulating fluidized bed (CFB) reactor. A pseudo-homogeneous reactive transport model for ozone decomposition, integrated with the two-fluid model, was developed and validated using experimental data. Based on the model, the impacts of turbulence models, specularity coefficients, and simulation methods on reaction behaviours in the CFB riser reactor were explored. These three factors were found to significantly affect the hydrodynamic characteristics and the reaction behaviours in the riser. A comparative study of CFB riser and downer reactors was conducted. Operations in the direction of and …


Igniting Passion:​ A Detailed Journey Through Rocketry Course Activities, Krish M. Patel, Hannah Caycedo, Joshua Gage, Josi Maness, Kevin Park, Mufeng Shen Apr 2024

Igniting Passion:​ A Detailed Journey Through Rocketry Course Activities, Krish M. Patel, Hannah Caycedo, Joshua Gage, Josi Maness, Kevin Park, Mufeng Shen

SACAD: John Heinrichs Scholarly and Creative Activity Days

This course is a semester-long adventure in rocketry, led by Dr. Paul Adams. It covers everything about building and flying rockets, starting from the basics to more advanced rocketry. Students learn how to build rockets and use equipment used I payload systems like and altimeter and a GPS. We also learned about the importance of safety involved with building and launching rockets.


Investigating Which Muscles Are Most Responsible For Tremor Through Both Experimental Data And Simulation, Daniel Benjamin Free Apr 2024

Investigating Which Muscles Are Most Responsible For Tremor Through Both Experimental Data And Simulation, Daniel Benjamin Free

Theses and Dissertations

Tremor affects millions of people and many patients desire alternative treatment options to medication or neural surgery. Peripheral suppression techniques are gaining greater use, but are currently applied in a trial-and-error method. To optimize these techniques, the muscles most responsible for an individual patient's tremor need to be identified. In this dissertation, I explored two parallel paths that both could aid in identifying muscles responsible for tremor. The first method utilizies measured data and a technique (coherence) that quantifies the frequency dependent correlation between two signals. Using coherence to identify muscles contributing to tremor requires at least two parts: an …


Meso-Scale Seabed Quantification With Geoacoustic Inversion, Tim Sonnemann, Jan Dettmer, Charles W. Holland, Stan E. Dosso Apr 2024

Meso-Scale Seabed Quantification With Geoacoustic Inversion, Tim Sonnemann, Jan Dettmer, Charles W. Holland, Stan E. Dosso

Electrical and Computer Engineering Faculty Publications and Presentations

Abstract Knowledge of sub-seabed geoacoustic properties, for example depth dependent sound speed and porosity, is of importance for a variety of applications. Here, we present a semi-automated geoacoustic inversion method for autonomous underwater vehicle data that objectively adapts model inference to seabed structure. Through parallelized trans-dimensional Bayesian inference, we infer seabed properties along a 12 km survey track on the scale of about 10 cm and 50 m in the vertical and horizontal, respectively. The inferred seabed properties include sound speed, attenuation, density, and porosity as a function of depth from acoustic reflection coefficient data. Parameter uncertainties are quantified, and …


Forecasting Future Research Trends In The Construction Engineering And Management Domain Using Machine Learning And Social Network Analysis, Gasser G. Ali, Islam H. El-Adaway, Muaz O. Ahmed, Radwa Eissa, Mohamad Abdul Nabi, Tamima Elbashbishy, Ramy Khalef Apr 2024

Forecasting Future Research Trends In The Construction Engineering And Management Domain Using Machine Learning And Social Network Analysis, Gasser G. Ali, Islam H. El-Adaway, Muaz O. Ahmed, Radwa Eissa, Mohamad Abdul Nabi, Tamima Elbashbishy, Ramy Khalef

Civil Engineering Faculty Publications and Presentations

Construction Engineering and Management (CEM) is a broad domain with publications covering interrelated subdisciplines and considered a key source of knowledge sharing. Previous studies used scientometric methods to assess the current impact of CEM publications; however, there is a need to predict future citations of CEM publications to identify the expected high-impact trends in the future and guide new research efforts. To tackle this gap in the literature, the authors conducted a study using Machine Learning (ML) algorithms and Social Network Analysis (SNA) to predict CEM-related citation metrics. Using a dataset of 93,868 publications, the authors trained and tested two …


On The Feasibility Of Ultrasonic Full Waveform Evaluation With Changing Testing Conditions For The Quality Control Of Manufacturing Parts, Simon Schmid, Thomas Schumacher, Christian U. Grosse Apr 2024

On The Feasibility Of Ultrasonic Full Waveform Evaluation With Changing Testing Conditions For The Quality Control Of Manufacturing Parts, Simon Schmid, Thomas Schumacher, Christian U. Grosse

Civil and Environmental Engineering Faculty Publications and Presentations

Fast volumetric non-destructive testing methods are needed, especially for quality control in manufacturing lines. Ultrasonic testing with full waveform evaluation is a promising method for this. However, changes in coupling conditions or environmental factors can significantly alter the ultrasound signal, sometimes more than actual defects. This study investigates the effect of various factors on the ultrasound signal based on a Monte Carlo study with wavefield simulations. The test specimens comprise aluminium plates with holes of varying sizes and positions. Using both experimental as well as simulated data, the performance of two commonly used comparison metrics, namely the R2 score and …


Performance Enhancement Of A Solar-Driven Dcmd System Using An Air-Cooled Condenser And Oil: Experimental And Machine Learning Investigations, Pooria Behnam, Abdellah Shafieian, Masoumeh Zargar, Mehdi Khiadani Apr 2024

Performance Enhancement Of A Solar-Driven Dcmd System Using An Air-Cooled Condenser And Oil: Experimental And Machine Learning Investigations, Pooria Behnam, Abdellah Shafieian, Masoumeh Zargar, Mehdi Khiadani

Research outputs 2022 to 2026

Solar-driven direct contact membrane distillation systems (DCMD) are disadvantaged by low freshwater productivity and low gain-output-ratio (GOR). Consequently, this study aims to achieve two primary objectives: i) improving the solar DCMD performance, and ii) harnessing machine learning models for precise and straightforward modeling of the solar DCMD system. To achieve these goals, a novel solar DCMD system powered with oil-filled heat pipe evacuated tube collectors (HP-ETCs) and equipped with an air-cooled condenser was used for the first time. The system was evaluated under eight different scenarios covering both its energy and economic performances. The performance prediction of three different machine …


Bioactive And Electrically Conductive Nanocomposite Bone Biomaterials, Rebeca A. Arambula-Maldonado Apr 2024

Bioactive And Electrically Conductive Nanocomposite Bone Biomaterials, Rebeca A. Arambula-Maldonado

Electronic Thesis and Dissertation Repository

Electrically conductive carbon-based materials are emerging as potential biomaterials for bone tissue engineering. Their incorporation into organic-inorganic nanocomposites mimics the structural composition and electrically conductive nature of bone.

The aim of this research was to design bone biomaterials from gelatin-based polymers, tertiary bioactive glasses (BG) via a sol-gel method, and multiwall carbon nanotubes (MWCNT). The incorporation of calcium into organic-inorganic nanocomposites plays an essential role in the development of bioactive bone biomaterials. Calcium chloride and calcium ethoxide were investigated as calcium sources in gelatin-BG-MWCNT nanocomposites. The resulting surface elemental distribution was homogeneous, but the swelling, degradation and porosity properties of …


Analysis Of The Key Performance Indicators Between Lithologies On Mine To Crusher, Janine Figueiredo, Vidal Torres, Rodolfo Cruz, Douglas Moreira Apr 2024

Analysis Of The Key Performance Indicators Between Lithologies On Mine To Crusher, Janine Figueiredo, Vidal Torres, Rodolfo Cruz, Douglas Moreira

Journal of Sustainable Mining

The evolution of the mineral economy requires greater technological developments to find a better use of resources and reserves through the relationships between the characteristics of the rocks and the need to enable the entire mining enterprise. This study focuses on the development of new rock blasting technologies that result in a more optimized fragmentation according to the lithology in the feed of the primary crusher. This methodology is known as Mine to Crusher, through which it becomes possible to minimize costs in the future prospecting of the mine and maximize productivity. For this methodology to be developed, it was …


Education And Training Networks, Ken Thomas, Joe Harrington, Robin Stubbs, Sean Carroll, Emily Shakespeare, Rahat Ullah, Adhban Farea, Theresa-Marie Greiwe Apr 2024

Education And Training Networks, Ken Thomas, Joe Harrington, Robin Stubbs, Sean Carroll, Emily Shakespeare, Rahat Ullah, Adhban Farea, Theresa-Marie Greiwe

Tools

Education And Training Networks Inventory is a review of relevant network in Ireland and the EU.


Assessment Of Engineering Performance And Environmental Impacts Of High Reclaimed Asphalt Pavement (Rap) Asphalt Mixtures In Flexible Pavements, Ibrahim A.I.E. Elnaml Apr 2024

Assessment Of Engineering Performance And Environmental Impacts Of High Reclaimed Asphalt Pavement (Rap) Asphalt Mixtures In Flexible Pavements, Ibrahim A.I.E. Elnaml

LSU Doctoral Dissertations

Due to the critical role of asphalt pavements in national infrastructure development, there is a pressing need to investigate more sustainable materials and approaches. The use of natural aggregates and asphalt binders in asphalt pavement presents sustainability challenges due to the depletion of finite resources. Recycling Asphalt Pavement (RAP) offers a promising sustainable solution by substituting virgin aggregates and asphalt binders with recycled ones. However, increasing RAP contents in asphalt mixtures (>25%) can lead to premature cracking, insufficient durability, and limited longevity due to the presence of aged RAP-asphalt binder. To address these concerns, the application of novel recycling …


Evolving Hangwuran City Development Model Through Partial Least Square Approach In North-Central Nigeria, Samuel Medayese, Hangwelani H. Magidimisha-Chipungu, Lovemore Chipungu Apr 2024

Evolving Hangwuran City Development Model Through Partial Least Square Approach In North-Central Nigeria, Samuel Medayese, Hangwelani H. Magidimisha-Chipungu, Lovemore Chipungu

CSID Journal of Infrastructure Development

The need for a paradigmatic shift in city development ideology has become increasingly evident over the years. In response to this need, the Hangwurian City Development Model was developed to establish a connection between the concepts of environmental awareness, urban governance, and management. This model also integrates sustainable urban development, urban liveability, and inclusive physical development. The research sets a critical objective of analyzing the significant levels of various indicator variables. The exploratory research utilized partial least squares (PLS) via SmartPLS to evaluate the variables, collecting quantitative data through the open data toolkit from three selected cities: Lokoja, Minna, and …


Exploration Of Characteristic Curve In Fox Float 3 Shock Dampers To Expedite Shock Damp Tuning., Joshua R. Moore Apr 2024

Exploration Of Characteristic Curve In Fox Float 3 Shock Dampers To Expedite Shock Damp Tuning., Joshua R. Moore

Honors College Theses

The shock absorber is an integral part of a vehicle suspension system and has a strong influence on its performance, especially in the case of motorsports. It is important to study the force versus velocity relationship, commonly known as the characteristic curve of the shock absorber both during compression and rebound. Vendor-supplied characteristics often reflect the behavior of the shock absorber in a particular setting. However, during the installation, the settings inside the shock absorber are adjusted to increase the human comfort level and performance of the vehicle. This may change the characteristic curve of the shock. The available data …


An Architectural Approach To Neighborhood Design In The Quarry Road Informal Settlement In Durban, Viloshin Govender, Ameen Shaikjee Apr 2024

An Architectural Approach To Neighborhood Design In The Quarry Road Informal Settlement In Durban, Viloshin Govender, Ameen Shaikjee

CSID Journal of Infrastructure Development

Informal settlements, often characterized by inadequate infrastructure, housing, and services, are a significant urban challenge in the global South. Creating well-functioning and supportive neighborhoods within these settlements is crucial for improving the living conditions and livelihoods of those living there. This paper explores the strategies and principles of creating neighborhoods in informal settlements that promote community empowerment, social cohesion, and sustainable development. Conventional top-down development approaches often fail to address these settlements' unique needs and dynamics. In contrast, a bottom-up approach empowers residents, fosters community engagement, and promotes sustainable development. This paper explores how architecture can respond to the needs …


Liveable Communities: A Case Study Of Availability, Proximity, And The Quality Of Critical Infrastructure In Colombo, Srilanka, Maheshi Tennakoon, Udayangani Kulatunga Apr 2024

Liveable Communities: A Case Study Of Availability, Proximity, And The Quality Of Critical Infrastructure In Colombo, Srilanka, Maheshi Tennakoon, Udayangani Kulatunga

CSID Journal of Infrastructure Development

The concept of livable communities has become increasingly significant in regional planning, aiming to improve the quality of life for residents. Despite continued investment in critical infrastructure in developing countries, the enhancement of livability has not kept pace with infrastructure development. This study investigates the impact of crucial infrastructure on community livability, utilizing a holistic single case study approach with Colombo as the case study. The relationship between critical infrastructure development and urban livability serves as the unit of analysis. Data were collected through semi-structured interviews with ten subject matter experts and analyzed using manual content analysis. The research finds …


Neighbourhood Planning: Reminiscence Towards Liveable Communities, Bolanle Wahab, Waheed Kadiri, Ayobami Popoola, Bamiji Adeleye, Robert A. Dwamena Apr 2024

Neighbourhood Planning: Reminiscence Towards Liveable Communities, Bolanle Wahab, Waheed Kadiri, Ayobami Popoola, Bamiji Adeleye, Robert A. Dwamena

CSID Journal of Infrastructure Development

Urbanisation remains a topical discussion across the globe. According to the United Nations (2022), 68% of the world's population will be absorbed in urban areas by 2050. The envisaged rapid urbanisation in cities by 2050 is believed to be accompanied by various planning problems, which include accelerated climate change, urban slums, urban sprawl, poor sanitation, inadequate infrastructure, overcrowding, housing deficiency and transportation issues. To mitigate these planning problems, the role of effective urban planning cannot be overemphasised. Urban planning provides a pathway for overcoming the various challenges posed by urbanisation both in the present and in the future.

Urban planning …


Condition Of Drainage System And Its Impact On The Residents Of Mowe, Ogun State, Nigeria, Ayodeji Olusola Ajayi, Testimony Ayomide Oladiran, Ismail Adedapo Oyerinde, Aderonke Olufunmi Ajayi, Adonis Busuyi Fakanlu Apr 2024

Condition Of Drainage System And Its Impact On The Residents Of Mowe, Ogun State, Nigeria, Ayodeji Olusola Ajayi, Testimony Ayomide Oladiran, Ismail Adedapo Oyerinde, Aderonke Olufunmi Ajayi, Adonis Busuyi Fakanlu

CSID Journal of Infrastructure Development

This study examines the impacts of drainage infrastructure conditions on Mowe, Ogun State, residents. The study used a quantitative research design, using a systematic random sampling technique to select ten (10) residential estates (three public-owned and seven privately owned) in the study area. In all, 107 residents were sampled using a structured questionnaire. The data collected was analysed using descriptive statistics. Based on the findings of this study, it was evident that the surface drainage system, mainly constructed with sandcrete blocks, was predominant in the study area. The result established that the drainage's minimum height in the study area was …


Socio-Economic Effects Of Orisumbare Sawmilling Industries On The Residents Of Ikire, Irewole Local Government Area Osun-State, Nigeria, Umar Usman Jimoh, D R. Ogungbemi Apr 2024

Socio-Economic Effects Of Orisumbare Sawmilling Industries On The Residents Of Ikire, Irewole Local Government Area Osun-State, Nigeria, Umar Usman Jimoh, D R. Ogungbemi

CSID Journal of Infrastructure Development

The study examined the socio-economic effects of the Orisumbare sawmill industry on the residents of Ikire, Irewole local government area of Osun State. The objectives of the study include, examination of the socio-economic characteristics of the respondents, the positive effects of industry on the residents, the negative impacts of industry on the residents, and the perceived environmental-induced diseases caused by industrial activities. A case study research design was adopted, while both primary and secondary data were utilised. A multistage sampling technique was used, in which a buffer zone of 900m radius was made to delineate the zone of industries’ influence. …