Engineering Commons^™

A Predictive Iot And Cloud Framework For Smart Healthcare Monitoring Using Integrated Deep Learning Model, Preeti Rani, Umesh Chandra Garjola, Haider Abbas

NJF Intelligent Engineering Journal

The researchers developed a deep learning-based smart healthcare monitoring system based on IoT and cloud technology. The proposed system integrates IoT sensors for real-time collection of physiological data, such as ECG, blood pressure, and heart rate, with cloud computing for secure storage and advanced analytics. Utilizing the Bi-LSTM model with fuzzy inference systems (FIS), the framework enhances the accuracy and efficiency of heart disease prediction. According to the evaluation, the model performs better in terms of accuracy, precision, recall, and F1 score than traditional LSTM and FLSTM models. By enabling early detection and personalized interventions, the system aims to reduce …

Real-Time Congestion Control And Load Optimization In Cloud-Manets Using Predictive Algorithms, Preeti Rani, Mohammed Hussien Falaah

NJF Intelligent Engineering Journal

Cloud-MANET environments require a system to balance load and control congestion. As a result of integrating real-time network metrics with predictive traffic algorithms, the proposed model optimizes the management of dynamic topologies, network bandwidth constraints, and fluctuating traffic loads. In addition to energy-aware multi-path routing, the framework incorporates adaptive congestion control mechanisms to ensure data transmission is efficient and stable. This algorithm provides higher packet delivery ratios, reduces end-to-end delays, and increases throughput over existing algorithms, according to the evaluation results. Hybrid Cloud-MANET systems can benefit from this approach by optimizing resource utilization and network performance.

New Forced Convection Flow Of Nanofluid Within A Partially Filled Porous~Straight Channel, Ammar I. Alsabery, Ali Sahib Abosinee

NJF Intelligent Engineering Journal

This study specifically examines how the movement and dispersion of nanoparticles affect heat transfer in a linear channel that contains a partially porous medium. The existing body of literature is lacking a comprehensive understanding of the convective heat transfer of nanofluids in porous channels. This presents an open research topic that demands further investigation. The porous channel is modelled using Finite Element Method (FEM) for steady flow. The assumption of thermal equilibrium model is made between the solid phases and nanofluid. The non-uniform distribution of nanoparticles within the channel is postulated. Consequently, the equation for the distribution of volume fraction …

A Predictive Framework Combining Iot And Machine Learning Regression Models For Smart Precision Farming, Kusum Yadav, Nesreen Abdou El-Hadiede

NJF Intelligent Engineering Journal

In this paper, the Internet of Things (IoT) and machine learning algorithms that incorporate regressor are integrated to improve precision agriculture. Data from Internet of Things sensors like temperature sensors, humidity sensors, and soil sensors can be collected and analysed using machine learning algorithms like Support Vector Machines (SVMs) and Multilayer Perceptrons (MLPs). By using the proposed system, crop yield will be optimised, resource usage will be minimised, and the environmental impact of agriculture will be reduced. A comparison of predictive accuracy and error metrics, such as RMSE, demonstrated the effectiveness of automated monitoring, predicting crop health issues, and implementing …

Comparative Analysis Of Nature-Inspired Optimization Algorithms: Applications, Challenges And Future Directions, Prerna Mann

NJF Intelligent Engineering Journal

With the proliferation of data generation, the process of achieving optimal solutions is getting more complex. It is becoming increasingly clear that intelligent metaheuristics algorithms are the way to go for solving these complicated optimisation problems, particularly when faced with several restrictions. The development of effective methods for dealing with these optimisation challenges has prompted the creation of numerous new algorithms. These algorithms are either improving their ability to handle problems in many domains or are investigating new contexts in which they could be useful. The field is advancing at a quick pace, leaving many in the dark about its …

Development Of A Spray Pipe Evaporator For Application On Unproductive Salt Farm Land In Indonesia, Srie Muljani, Ketut Sumada, Alfian Rizki Pradana, Caecilia Pujiastuti

ASEAN Journal of Community Engagement

This article discusses the development of a prototype spray pipe evaporator and its efficiency in producing salt in Indonesia. Due to the length of the salt harvesting season in Indonesia, many salt farmers have closed their business doors, leaving many salt ponds abandoned. The spray pipe evaporator prototype was designed to produce a brine solution with a salinity of 23–24 Be from seawater, which has a salinity of 2.5–3.5 Be, in less than 3 days. This is faster than the conventional process of a brine solution salinity of 24 Be. The prototype spray pipe evaporator was assessed in a 20 …

Road Safety Assessment For Accident And Non-Accident Cases Supporting Sustainable Development Goals 2030, Brian Nararya Nugraha, Sekar Warangi Nurcahyati, Hizkia Adhikaratma, Martha Leni Siregar

Journal of Environmental Science and Sustainable Development

Halving the number of global deaths and injuries from road traffic accidents is one target of the Sustainable Development Goals 2030, which is still a challenging problem in Indonesia. However, the majority of research on this topic uses accident-based methods, which limits the safety analysis. Two road safety assessment methods are used to close the gap, with the addition of non-accident-based methods such as Road Safety Audits (RSA). The Margonda Raya Road, which is categorised as a traffic accident blackspot, was selected for the case study. For this, a field survey of the road segment is carried out. To minimise …

Hybrid Solar-Rainwater Harvesting System With Mini Turbine Integration For Enhanced Energy Generation, Shamanth Showri N R, Sathvik V. Koushik Mr., Shreya C R, Samarth S

Manipal Journal of Science and Technology

Uniting the sun's rays with the fluidity of water, the combination of solar and waterpower creates a potent force for renewable energy, lighting the way to a greener tomorrow. The proposed hybrid system combines modified solar panels with integrated rainwater collection channels, a central collection point, and mini turbines for electricity generation. Through experimental testing and simulations, the feasibility and effectiveness of the hybrid system are evaluated, demonstrating its potential to maximize energy output in regions with abundant sunlight and rainfall. The results indicate that the hybrid solar rainwater harvesting system offers a promising solution for sustainable energy generation, with …

Portable Personal Air Monitor, Samreen Zabiulla, T Jaya Soumya, Vaishnavi N, Pronama Biswas, Belaguppa Manjunath Ashwin Desai

Manipal Journal of Science and Technology

Cities around the globe are facing ever-increasing challenges to air quality, posing serious risks to public health due to high levels of particulate matter and various pollutants. Addressing these challenges requires a multifaceted strategy, including strict regulations, sustainable urban planning, and adopting cleaner technologies. To tackle these issues, we developed a portable personal air monitor designed to effectively assess environmental conditions. This innovative device incorporates a range of sensors and a filtration system to measure concentrations of different pollutants. What sets it apart is its unique design inspired by the human lung, utilizing a diaphragm vacuum pump to mimic the …

High-Frequency Gold Price Forecasting: Optimizing Multi-Layer Perceptron With Genetic Algorithm, Vrtagic Sabahudin, Fatih Dogan

Materials Science and Engineering Faculty Research & Creative Works

Accurately forecasting gold price actions is critical in financial markets due to gold's role as a safe-haven asset. This paper addresses the challenge of forecasting gold prices by applying a Genetic Algorithm (GA) with a Multi-Layer Perceptron (MLP) model. The research exploits historical financial data from various instruments, including gold futures, Bitcoin, and key currency pairs, to improve prediction accuracy. By optimizing the MLP's hyper parameters through GA, the model efficiently captures complex relationships in high-frequency data, achieving a remarkable R² score of 0.9993. This level of precision demonstrates the model's potential for providing actionable insights for traders and investors. …

Forecasting Air Pollution Driven By Vehicle Growth, Public Transport, Industry, And Household Waste, Chandra Harjono, Ludy Gianto, Rachmattullah Sidik, Dyah Lestari Widaningrum

Journal of Environmental Science and Sustainable Development

Jakarta, Indonesia's bustling capital, is grappling with escalating air pollution levels attributed to a confluence of socio-economic and infrastructural factors. This study employs Vensim modelling to project PM2.5 pollution trends through 2040, analysing the dynamic interplay among major contributors: increased vehicular emissions, industrial activities, public transportation deficiencies, and waste management inefficiencies. Materials and Methods: The method that will be used in this air pollution analysis is to integrate empirical data spanning three years to construct a predictive model underpinned by a robust causal loop diagram that elucidates the relationships between system variables and air quality. The results of this paper …

Assessing The Environmental Impact Of Municipal Solid Waste, Ojo Oluwayinka Florence, Olaniyan Olatunji Sunday, Akolade Adebola Saheed, Alabi Oluwaseyi Omotayo, Olaomotito Precious Adesope, Adebayo Kehinde John

Journal of Environmental Science and Sustainable Development

Municipal solid waste (MSW) management presents significant environmental challenges, especially with increasing urbanization and population growth. This study assesses the environmental impacts of MSW, focusing on waste composition, management practices, and their effects on air, water, and soil quality. The primary objective is to evaluate how MSW contributes to environmental degradation and to explore strategies for mitigating these impacts. A hypothesis was developed that optimizing waste composition through proper sorting and treatment can reduce the environmental footprint of MSW management by at least 10% in terms of leachate production and greenhouse gas emissions. Samples were collected using a randomized sampling …

Assessing Potential Energy Sustainability Of Micro-Hydropower System Through A Sustainable Indicator Approach, Icmi Alif Safitri, Muhammad Sulaiman, Rachmawan Budiarto

Journal of Environmental Science and Sustainable Development

The development of micro-scale renewable energy power generation systems, such as micro-hydropower (MHP), often needs more consideration for sustainability during the planning stages. Many small-scale renewable energy systems have shorter-than-expected lifespans, jeopardizing Indonesia's Net Zero Emission Target for 2060 or earlier. Despite this, only some studies have examined the long-term viability of installed renewable energy generation projects, particularly MHP plants not managed by state-owned companies or PLN (Pembangkit Listrik Negara). The primary objectives of this research are to evaluate the feasibility of retrofitting and assess the potential sustainability of a decommissioned MHP in Banjarnegara, Central Java. A cash flow analysis …

Developing A Roadmap For Green Port In Timor-Leste, Emanuel Da Silva Maia

World Maritime University Dissertations

No abstract provided.

Automated Segmentation Of The Ulnar Nerve In Mri Using Deep Learning Techniques, Akhil Nagulapalli

Theses

Cubital Tunnel Syndrome (CuTS), a condition caused by compression of the ulnar nerve, results in numbness, tingling, pain, and even muscle atrophy, affecting fine motor skills and diminishing patient quality of life. Accurate diagnosis of CuTS is challenging, as current diagnostic methods—including clinical exams, nerve conduction studies, and unaided MRI—often lack the precision to reliably identify the nerve and detect compression in its early stages. Deep learning-based segmentation offers a promising solution, enabling precise and automated identification of nerve structures in MRI images, which could significantly improve diagnostic accuracy and support timely intervention.

A novel deep learning model for segmenting …

Exploration Of The Iterative Design Process: Integrating A Requirements Matrix And Hazard Analysis Toolsexploration Of The Iterative Design Process: Integrating A Requirements Matrix And Hazard Analysis Tools, Blaine Edlefsen

Theses

The iterative design process is applied to multiple industry sectors from software development to product manufacturing. The cyclical approach integrates the steps of design, prototyping, and testing toward the realization of a user's specified needs. The use of a requirements traceability matrix and hazard analysis documentation that supports the definition of the iterative design process is explored. These design project management tools are applied to a case study involving workholding design for a Wire Electrical Discharge Machining (Wire-EDM) manufacturing process. This industry-relevant case study is conducted in collaboration with New Jersey Precision Technologies, Incorporated (NJPT). The design requirements involve both …

Black Soldier Fly Larvae (Bsfl) Bioconversion For Circular Economy: A Study In Polaman Village, Siswo Sumardiono, Rizka Amalia, Syaikha Butsaina Dhiya’Ulhaq, Nurika Nazilatul Ilmi, Hermawan Dwi Ariyanto

ASEAN Journal of Community Engagement

Conventional organic waste management methods often lead to environmental degradation and underutilization of valuable resources. In rural areas, such as Polaman Village, limited awareness and inefficient disposal systems exacerbate these issues, thus necessitating innovative and sustainable solutions. This study explores black soldier fly larvae (BSFL) bioconversion as a community-based solution for organic waste management, addresses environmental challenges, and promotes economic empowerment by converting waste into valuable by-products. The study employed a mixed-methods approach, beginning with baseline assessments of waste generation and existing management practices to identify community needs. Educational workshops and hands-on training sessions introduced BSFL bioconversion techniques to local …

Single-Step Synthesis Of Activated Carbon From Arabica Spent Coffee Ground Using K2co3 As Activator Agent, Ghina Ivana Mieldan, Yuliusman Yuliusman

Journal of Materials Exploration and Findings

Activated carbon is a nanomaterial that is often used as an effective adsorbent. Activated carbon raw materials can use biomass, such as coffee grounds, which can be found along with the growth of public interest in coffee drinks. Chemical activators are used for activation to increase biomass carbon's adsorption capacity. Using K₂CO₃ activator to increase the specific surface area of activated carbon is more harmless than KOH. The use of spent coffee grounds as carbon source and food additive K₂CO₃ as an activator can make food-grade activated carbon that can be used for food. …

Strategic Site Selection For Bio-Lng Plant In Indonesia: A Multi-Criteria Scoring Method Approach, Edma Nadhif Oktariani, Yuliusman Yuliusman

Journal of Materials Exploration and Findings

In Indonesia, the energy sector is still predominantly reliant on fossil fuels, with renewable energy, including liquefied biomethane (Bio-LNG), playing a limited role. Nonetheless, Indonesia has significant potential for Bio-LNG development due to its abundant organic waste resources such as Palm Oil Mill Effluent (POME) from palm oil mills. Having approximately 891 Palm Oil Mills in Indonesia and being spread mostly in Sumatra, this study aims to select a strategic location for a Bio-LNG plant that can enhance logistical efficiency and economic viability for the plant. This study uses Multi-Criteria Decision Making (MCDM) methodologies to assess potential sites based on …

Effect Of Alkyd And Polyester Resin Compositions On Corrosion Resistance, Blistering, And Adhesion In Utilization Of Oily Sludge As Anti-Rust Coating Material, Gerets Land Kakalang, Yohanes David Kristianto, Johny Wahyuadi Mudaryoto

Journal of Materials Exploration and Findings

Oil sludge is a waste derived from upstream and downstream activities of the oil and gas industry which is estimated at 10,000 tonnes generated from all PERTAMINA downstream activities spread across various fields, processing units and depots throughout Indonesia. Oil sludge has the same characteristics as asphalt, where asphalt in previous studies can be used as an anti-rust coating, so that the handling of oily sludge can be topped up by reusing and having its own added value. The purpose of this research is to utilise waste oily sludge as an alternative anti-rust coating material and compare alkyd resin and …

Inspection Program Effectiveness Key Performance Indicator For Pressurized Static Equipment Integrity At Offshore Platform, Teuku Ahmad Haekal, Johny Wahyuadi Soedarsono, Badrul Munir, Muhammad Yudi Masduky Sholihin

Journal of Materials Exploration and Findings

One of the key challenges in asset integrity management system at offshore platform is the lack of visibility regarding performance issues and program effectiveness. Without proper performance measurement systems, it becomes difficult to address positive or negative trends promptly and for management to stay informed about the status and the impact of the inspection program. Therefore, Key Performance Indicator (KPI) is needed to measure inspection program effectiveness to prevent undesirable equipment failures that could lead to Loss of Primary Containment (LOPC) or Process Safety Event (PSE). The developed KPI is the ratio of the number of non-leak inspection findings with …

A Comparative Study Of Conventional And Statistically Active Corrosion Methods For Corrosion Growth Assessment Of A 24-Inch Gas Pipeline, Rudi Rinaldi, Jaka Fajar Fatriansyah

Journal of Materials Exploration and Findings

Component failures in oil and gas pipelines can have fatal consequences, leading to operational downtimes and environmental damage. Knowledge of the corrosion growth rate is fundamental to pipeline integrity management, as it is essential for risk assessment and decisions related to asset management. This article aimed to compare two approaches for the corrosion growth estimation of the 24-inch offshore gas pipeline: the conventional method versus the Statistically Active Corrosion (SAC) method. This article is based on the in-line inspection (ILI) results of two consecutive assessments from 2020 to 2023 of the entire 73 km of the pipeline. The results show …

Comparative Analysis Of Risk-Based And Time-Based Inspection Application In Hydrocarbon And Chemical Industries: A Review, Azizar Azizar, Nofrijon Sofyan

Journal of Materials Exploration and Findings

RBI and TBI strategies are comparatively reviewed in terms of their contribution to maintaining asset integrity for asset owners in the hydrocarbon and chemical industries. The objective is to assess various methods on a cost-efficient and risk-managed operational safety basis. It utilizes common industry standards such as API 580 for RBI, and API 510, API 570, and API 653 for TBI, and also case studies and literature analysis. The analysis of data was conducted to examine how each approach deals with inspection planning and decision-making. They suggest that RBI's risk-based prioritization strategy leads to more effective management of high-risk assets, …

Green Design Of Plant Based Pharmaceutical Drugs: Example Of A Wound Healing Topical Cream With Plectranthus Bojeri (Benth) Hedge Lamiaceae Extract, Helga Rim Farasoa, Marie Louise Razafindravao, Rojo Fanambinantsoa Andriamiarantsoa, Gerard Cecilien Raboanary, Jean Marie Razafindrakoto, Voahangy Ramanandraibe Vestalys

Journal of Bioresource Management

To ensure the perennity of natural resources, the valorisation process of herbal pharmaceuticals must be assessed for sustainability from the very beginning of its design. No specific tools have been developed for this particular field so far. We demonstrate in this study that existing green design tools can be adapted to evaluate plant-based products manufacturing process. As the example of a topical cream using Plectranthus bojeri (Benth) Hedge LAMIACEAE extract was considered, we first confirmed the traditional use of this plant for wound healing. It acts by accelerating the re-epithelialisation phase. Using the Vermeer Cosmolife version 0.24 software tool the …

A Practical Intrusion Detection Approach For Arp Spoofing And Mitm In Local Area Networks, Hiba Bazzi, Ali Nassar, Mustafa El Bizri, Ali M. Haidar Prof.

BAU Journal - Science and Technology

In modern network environments, the increasing sophistication of cyberattacks poses significant risks, particularly through Address Resolution Protocol (ARP) spoofing and Man-in-the-Middle (MITM) attacks, which exploit vulnerabilities in local area networks. Existing tools often focus on detection or protection at the client side, leaving network-wide detection and response largely unaddressed. This paper presents a novel intrusion detection tool specifically designed to identify ARP spoofing and MITM attacks in real-time within local area networks. The system leverages Python and Scapy for low-level packet analysis and Flask for an intuitive web-based dashboard. Key features include network monitoring, attack detection through ARP table comparisons, …

Online Learning Transition: An Analysis Of Proactive Institutional Assistance In Reducing Difficulties During The Covid-19 Pandemic, Mohammed Yahya Alghamdi

BAU Journal - Science and Technology

The COVID-19 pandemic caused major changes in the education system, with a shift to online learning, and experience has shown that transitioning from face-to-face instruction is difficult. This study involved 80 academic staff members from Al-Baha University in Saudi Arabia to learn about the benefits, limitations, and institutional support of online education in the setting of an epidemic. The study answers two primary questions: The first study question was, What difficulties did instructors face when they switched to online instruction? While the second research question was, How did institutional support influence the transition to online instruction? The study’s research methodology …

Adopting Association Rule Learning For Detecting And Ranking Influential Users On Hashtags, Layal Abu Daher, Islam Elkabani, Rashed Zantout

BAU Journal - Science and Technology

Social Media platforms are networks of relationships in which users are considered as nodes in a graph and relationships between users are considered edges. These graphs symbolize online groups or communities. It has been a challenge for researchers to study the evolution of such communities due to their rapid and dynamic development. The contribution of our work is twofold: (i) studying the effectiveness of a set of Direct and Indirect Influence Measures that identify the factors that urges users to participate in certain communities; (ii) proposing an Association Rule Mining technique to identify influential users on a dataset of a …

Ai-Driven Dynamic Pilot Placement For 5g Mmwave Massive Mimo: A Random Forest Regression Approach, Mohammad R. Abou Yassin, Soubhi Abo Chahine, Hamza Issa

BAU Journal - Science and Technology

Efficient pilot placement in 5G millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) systems is critical to enhancing performance, achieving high spectral efficiency (SE), low bit error rate (BER), reduced pilot overhead, and minimized latency. However, this requires pilot symbols transmission, which occupies spectral resources and results in reducing spectral efficiency (SE). This paper proposes a novel dynamic pilot placement (DPP) framework, optimized using a Random Forest Regression (RFR) approach, to enhance system performance. Unlike traditional static and semi-static pilot allocation methods, the DPP approach dynamically adjusts pilot positions based on real-time channel state information (CSI) and system requirements, reducing interference and …

Cropsync: Ai-Powered Sustainable Crop Management, Ziad Doughan, Ibrahim Mneimneh, Zouheir Nakouzi, Noor Al Khaib, Samer Damaj, Jamal Chaaban, Hamza Mrad, Sari Itani

BAU Journal - Science and Technology

CropSync is a smart agriculture system that uses AI and IoT technologies to enable sustain- able crop management and precision farming. The system aims to address the challenges faced by the agriculture sector, such as increasing food production to meet global population demands while minimizing environmental impact. CropSync integrates sensors, cameras, and cloud-based analytics to provide farmers with real-time insights and recommendations for optimizing crop cul- tivation. The system upholds engineering professional and ethical standards, considering broader social, environmental, and economic implications. From a social perspective, CropSync improves food security and enhances farmers’ livelihoods through increased productivity and efficient re- …

Designed For Limb Loss: An Artificial Intelligence-Based Bionic Prosthetic Arm Transition From Simulation To Reality, Amira J. Zaylaa Dr., Imane Haidar, Ziad Doughan, Mohammad Moumnieh, Hamza Mrad, Ali M. Haidar

BAU Journal - Science and Technology

Limb or organ loss of human remains challenging especially in the world of incessant reliance on touch-based screens and tasks. Thereby, patients can barely withstand and cope with the augmenting restrictions that they encounter due to this loss. Modern means and technologies, such as advanced and artificial parts reduced restrictions on patients with disabilities or a lost limb or organ. Hand prostheses, for instance, provided a powerful tool for improving the functional capabilities of human limbs, thereby improving the quality of life of the user. However, patients using prosthetic arms are still encountering numerous problems, such as, suffering from intact …