Feasibility Analysis Research Articles

Quadratic Programming Problems and Its Solution Techniques With Neural Network Modeling

ABSTRACTThis paper presents a study on quadratic programming problems (QPP) and introduces a new neural network model with feasibility analysis. The stability analysis of QPP using neural network modeling is also discussed. The proposed neural network model has a simple form, and its optimal feasibility for both primal and dual QP problems is established. The model demonstrates a good convergence rate with a minimal number of iterations, achieving a very fast convergence to the exact solutions of both the primal and dual QP problems. The optimal solutions for the original QP problem and its dual QPP are obtained. Finally, two simple numerical examples are simulated to illustrate the findings.

Comparative Analysis of Hydrogen Production and Economic Feasibility: Direct versus Indirect Coupling of Photovoltaic Systems with Electrolyzers

Hydrogen production using photovoltaics (PV) is essential for decarbonizing many sectors of the economy. The integration of PV and hydrogen electrolyzers is actively debated, with focus on direct versus indirect configurations and the option of storage. Direct configuration connects PV directly to the electrolyzer, offering simplicity and reduced installation costs but depends on the weather for efficient power transfer. Indirect configuration adds a power stage, increasing complexity and losses, but enabling maximum power tracking. Adding batteries allows storage of excess PV energy, extending hydrogen production. This study optimizes a PV generator to maximize annual hydrogen production in the direct configuration, then uses the same PV array for indirect configurations with and without batteries for a fair comparison. Results show that the indirect configuration with a battery yields 78% more hydrogen annually than without a battery and 109% more than the direct configuration. The indirect configuration with a battery uses 86.9% of PV energy for hydrogen production, yielding the highest profit at 2.53 € ⋅ W−1 (euros per watt‐peak of PV), compared to the direct and indirect configurations without a battery, which use 41.9% and 44.6% of PV energy and generate 1.49 and 1.83 € ⋅ W−1, respectively.

Integrating Extended Reality in undergraduate engineering programmes: operational feasibility and descriptive analysis of student perspectives

Integrating Extended Reality in undergraduate engineering programmes: operational feasibility and descriptive analysis of student perspectives

Homomorphic Encryption for Secure Ad Targeting: Balancing Privacy and Personalization in Digital Advertising

This article explores the application of homomorphic encryption (HE) in secure ad targeting, addressing the critical challenge of balancing personalized advertising with user privacy concerns in the digital advertising ecosystem. We examine the fundamentals of HE, its integration into ad targeting processes, and propose a privacy-preserving ad platform architecture. Through a comprehensive feasibility analysis and performance evaluation, we assess the technical challenges, computational overhead, and scalability issues associated with implementing HE in real-time ad serving. Our findings indicate that while HE offers strong privacy guarantees, it currently faces limitations in terms of latency and throughput compared to traditional ad targeting methods. We analyze the trade-offs between privacy protection and targeting effectiveness, highlighting the impact on ad relevance and personalization. The article also discusses future directions, including advancements in HE algorithms, integration with other privacy-enhancing technologies, and regulatory considerations. By synthesizing current research and experimental results, this work provides valuable insights into the potential of HE to revolutionize privacy-preserving ad targeting, paving the way for a more secure and privacy-conscious digital advertising future.

Comparison of androgen receptor mutation detection between plasma extracellular vesicle DNA and cell-free DNA and its relationship to prostate cancer prognosis

Background In liquid biopsy, mutation detection is primarily performed using cell-free DNA (cfDNA). However, the numerous advantages of extracellular vesicle (EV) DNA for mutation detection have gradually garnered the attention of researchers in recent years. This study aimed to compare the differences between EV DNA and cfDNA in mutation detection and explore the role of plasma androgen receptor (AR) mutations in the prognosis of prostate cancer (PCa). Methods We compared the biological characteristics of plasma extracellular vesicle DNA (p-EV DNA) and cfDNA by capillary electrophoresis and concentration detection. Subsequently, we performed pan-oncogene-targeted sequencing in paired tissue and plasma samples from five patients with PCa to verify the feasibility of mutation detection using p-EV DNA and cfDNA. Further, we conducted AR mutation detection in expanded samples to compare the differences between EV DNA and cfDNA in mutation detection and to analyse their role in PCa. Results p-EV DNA fragments were larger than plasma cell-free DNA (p-cfDNA) fragments; however, there was no significant difference in their concentrations in the plasma of patients with PCa. Feasibility analysis revealed that major mutations associated with PCa detected in tissue samples could be identified in both p-EV DNA and p-cfDNA. Advantage comparison found that, although cfDNA could detect more mutations, AR mutations in EV DNA were more strongly associated with a poor prognosis of PCa than cfDNA. Conclusion Mutation detection using either EV DNA or cfDNA is both feasible in PCa liquid biopsies, and EV DNA AR mutations have an advantage in prognostic assessment for PCa. This study lays the foundation for future research on EV DNA-related biomarkers.

Implementation of Robotic-Assisted Sacrocervicopexy for Apical Organ Prolapse Using the Semitendinosus Tendon-Pilot Study and Analysis of Clinical Outcome.

This video demonstrates a robotic-assisted sacrocervicopexy using the semitendinosus tendon. Between June 2022 and February 2023, we performed the worldwide first Da Vinci robotic-assisted sacrocervicopexies (SCP) for apical organ prolapse using the semitendinosus tendon of the left knee. Analysis of safety, feasibility, and clinical outcome of the first ten patients operated on using this new surgical technique included the German pelvic floor questionnaire (GPFQ) as well as a clinical examination. Ten patients with a follow-up of 12months were included. There was a significant reduction of the patient's symptoms according to the GPFQ regarding the domain bladder (preoperatively versus 3 months postoperatively, mean 3.85 vs 1.61, p = 0.034), total score (preoperatively versus 3 months postoperatively, mean 12.79 vs 3.28, p = 0.034), and descensus symptoms (preoperatively versus 12months postoperatively, mean 4.74 vs 0.67, p = 0.022). POP-Q stage (point C) was significantly reduced between the preoperative period and at the time of discharge (mean 2.2 vs 0, p = 0.004). No serious intra- and postoperative complications occurred. This pilot study showed satisfying clinical outcomes after a follow-up of 12months, with a low mid-term complication rate.

Application of Central Composite Design for Commercial Laundry Wastewater Treatment by Packed bed Electrocoagulation using sacrificial iron electrodes.

This research paper deals with a novel method utilizing packed bed electrocoagulation (PBEC) comprising of sacrificial iron electrodes and coupled with extracellular polymeric substances (EPS) used as flocculent agents for the treatment of commercial laundry wastewater (LWW). The study employs stainless steel cathodes, graphite anodes, and scrap iron pieces as sacrificial electrodes, ensuring efficient treatment in dynamic batch mode operation with enhanced contact time facilitated by serpentine flow. The initial characteristics of LWW were COD 579 ± 30 mg/L, TSS of 60 ± 10 mg/L, TS of 622 ± 20 mg/L, turbidity of 110 ± 5 NTU, pH of 9 ± 0.5, NPEOs of 570 ±150 μg/L and conductivity of 494 ± 20 mS/cm. The results demonstrate effective removal of turbidity (98 ± 2%), TS (95 ± 3%), COD (89 ± 5%), and NPEOs (53 ± 2%) under optimized current intensity: 2.99A, treatment time: 58.8 minutes and enhanced EPS dose from 5.8 mg/L to 8.0 mg/L. The economic feasibility analysis reveals energy consumption as the primary expenditure, with a treatment cost of 1.20$CAN/m3. This research introduces sustainable treatment for commercial LWW, meeting Quebec's reuse standards, implying reuse potential and responsible wastewater management.

Feasibility of snakehead fish hatchery (Channa striata) using a round pond in Labuan Amas Selatan district, Hulu Sungai Tengah regency, Kalimantan Selatan province, Indonesia

<p>This study aims to determine the technicalities and analyze the feasibility of <em>snakehead fish</em> (<em>Chana striata</em>) hatchery using round ponds in Labuan Amas Selatan District. The data collection methods used are observation, interviews, and documentation. The data analysis used is a qualitative descriptive analysis to determine the technical aspects of the fish hatchery, financial analysis to determine the feasibility of the business with profit analysis, Payback Period (PP), Break Event Point (BEP), Net Present Value (NPV), Net Benefit Cost (Net B/C), and Internal Rate of Return (IRR). The study results show that <em>snakehead fish</em> hatchery using round ponds produces <em>snakehead fish</em> seed in 7 cycles in one year; in each cycle, 6–10 pairs of <em>snakehead fish</em> are used, which can be spawned with an average nursery time of 1.5 months. <em>Snakehead fish</em> cultivation techniques include broodstock maintenance, broodstock selection, spawning, larval transfer and maintenance, nursery, harvesting, and marketing. The results of the business feasibility analysis obtained a profit value of IDR 63,465,000/year with a speedy return on investment for 1.64 years, the BEP value of production = 20,742 seed < the production value = 56,000 seed, and the BEP price of IDR 667/seed < the current price = IDR 1,800/seed. The NPV value at the hatchery reached IDR 366,007,925, meaning NPV > 0, Net B/C > 1 value of 4.62, and IRR value of 62.81%, which means it is greater than the current interest rate of 6%. Based on various financial analyses, the <em>snakehead fish</em> hatchery business using round ponds is profitable and feasible.<strong></strong></p>

Experimental Analysis of Gas Injection Feasibility and Evaluation of Enhanced Recovery Potential in Mahu Tight Conglomerate Reservoirs

Experimental Analysis of Gas Injection Feasibility and Evaluation of Enhanced Recovery Potential in Mahu Tight Conglomerate Reservoirs

Prioritizing Energy Performance Improvement Factors for Senior Centers Based on Building Energy Simulation and Economic Feasibility

This study examined energy performance improvement factors by analyzing both energy performance and the economic impacts to reduce energy costs for senior centers. A fact-finding survey was conducted on 20 senior centers in a metropolitan area, identifying key energy improvement factors. Energy simulations of the buildings were performed using ECO2, an officially certified energy assessment program in Korea, comparing the energy requirements before and after the improvements. The energy demand, energy consumption, and floor area were analyzed, with the J, K, and S standard models selected based on the median values of these factors. To assess the impact of the improvements, blower door tests were conducted on two senior centers before and after window upgrades. Based on the ECO2 simulations and the blower door test results, improvement priorities were identified in the following order: windows, exterior walls, boilers, roofs, and doors. Finally, an economic feasibility analysis applied the construction and heating costs to the standard models. Over a 40-year period, only boiler improvements generated a net profit. Without government support, this study recommends prioritizing boiler upgrades when selecting energy performance improvements.

Technical Feasibility Analysis of Digital Twin Technology in the Field of Urban Disaster Prevention

Abstract. In recent years, disasters have occurred frequently around the world, causing great harm to national finances and people's safety. There is still a lack of research on digital disaster prevention technology, but with the development of technologies such as artificial intelligence and computer vision, it has gradually become possible to use digital twin technology in urban disaster prevention. This paper is mainly based on digital twin related technologies, briefly introduces the concept and importance of digital twins, and the applicable fields, and then discusses the mode of data interaction between real entities and twins and the feasibility of digital disaster prevention, so as to prevent and simulate urban disasters and derive strategies for dealing with disasters. This paper reviews the existing research on digital twin technology through the method of literature retrieval and analysis. By analyzing technologies such as the Internet of Things, sensors, three-dimensional laser technology, urban monitoring technology, satellite remote sensing technology, drone remote sensing technology, mobile device technology, lidar technology, and oblique photography, a systematic review of critical analysis is obtained, and a macro method of data interaction and modeling for digital twin technology for disaster prevention is obtained, thereby deriving the feasibility of disaster prevention based on digital twin systems.

Mapping the Sustainability of Waste-to-Energy Processes for Food Loss and Waste in Mexico—Part 2: Environmental and Economic Analysis

Mexico generated 8.9 million tons of food loss and waste (FLW) in the year 2022, which was primarily managed through linear economy schemes where final disposal sites are predominant, leading to significant contributions to climate change and economic losses. This study, as a continuation of a prior work (Part 1), aims to evaluate the economic and environmental feasibility of implementing waste-to-energy anaerobic digestion (WtE-AD) plants for FLW management across Mexico, identifying the key factors that influence the competitiveness of these systems compared to conventional waste management practices. Using the outcomes of an energy feasibility analysis (Part 1), alongside life cycle assessment (LCA), geographic information systems, and cost engineering, this research analyzes the eco-efficiency and viability of WtE-AD for FLW valorization throughout the Mexican territory. The results indicate that, with a conventional waste management fee of USD 35.4 t−1, only the largest WtE-AD plant in the State of Mexico (treatment capacity of 2536.8 t FLW d−1) achieved a positive net present value (NPV) of USD 70.1 million, while all the other plants remained economically unviable. Conversely, under an optimistic scenario with a fee of USD 139 t−1, plants processing over 50 t FLW d−1 achieved profitability, with the largest plant reaching an NPV of USD 1.15 billion. The environmental assessment showed that larger plants effectively act as carbon sinks, with the largest plant reducing emissions by up to −89.8 kg CO₂ eq t−1 of FLW. These findings emphasize the need for appropriate waste management fees and governmental incentives to ensure the economic viability of WtE-AD plants. This study provides valuable insights for policymakers, highlighting the potential of WtE-AD technologies to contribute to Mexico’s energy transition and the shift toward a circular economy.

A novel 3D uniformity measurement method in mechanical stirring systems

AbstractAccurate assessment of mixing uniformity is crucial in industrial mixing processes. This study proposes an evaluation method for three‐dimensional (3D) mixing processes that combines dual‐camera positioning and point pattern density fluctuation (PD) based on disordered hyperuniformity. This study employs a positioning method using dual‐camera to achieve precise capture and reconstruction of tracer particles in 3D space. The 3D reconstruction data is then evaluated for mixing performance using the PD method. A relationship model between |k| and time I values with mixing time was established for λ = 1. The results indicate that mixing time decreases with the increase of |k| and decreases with the decrease of I values. To ensure the accuracy of the PD method, feasibility analysis was conducted using conductometry. Additionally, the superiority of the PD method was validated by comparing it with the 3D‐Q method. The impact of bottom height of stirring paddle and motor speed on mixing effect were also investigated. This study establishes a fundamental groundwork and theoretical framework for optimizing parameters of stirring systems and assessing 3D mixing uniformity. It also offers important references and insights for engineering practices and theoretical research in related fields.

Hybrid solar photovoltaic-wind turbine system for on-site hydrogen production: A techno-economic feasibility analysis of hydrogen refueling Station in South Korea's climatic conditions

The South Korean government has an ambitious policy to roll out hydrogen-powered vehicles across the country with 2000 hydrogen refueling stations (HRSs) infrastructure by 2050. However, the country currently lacks sufficient HRS infrastructure. In this context, this study proposes and investigates the technoeconomic feasibility and performance assessment of an optimal hybrid renewable energy system integrated with a vanadium redox flow battery for on-site hydrogen production. The system is designed to refuel a fleet of 20 fuel cell electric vehicles at seven South Korean locations with distinct climates. Based on the typical daily hydrogen and electric load profile of the HRS, the capital expenditure, net present cost, operation expenditure, levelized cost of hydrogen and levelized cost of energy were estimated to be, $5.95 - $13.2 M, $8.93 - $19.4 M, 82,670–202,184 $/yr, 8.77–19.1 $/kg and 2.1–4.58 $kWh, respectively.

Feasibility analysis of e‐bus‐based transit system for sustainable urban mobility

Feasibility analysis of e‐bus‐based transit system for sustainable urban mobility

Study of decaffeination and business risk feasibility: Arabica and Robusta Arjuno coffee beans by anaerobic fermentation using Rhizopus oligosporus

Indonesia is the fourth largest coffee producer in the world. However, coffee is generally sold in its original form, even though the diversification products of coffee, such as decaffeinated coffee, have a higher selling price. One of the coffee-producing areas in Indonesia is Malang-East Java which has superior coffee commodities and does not yet have diversified products, such as Arjuno coffee (Arabica and Robusta) originating from the Mount Arjuno area. In this work, the decaffeination of Arabica and Robusta Arjuno coffee was conducted through anaerobic fermentation by Rhizopus oligosporus. An analysis of the business feasibility and production risk was also carried out. The results showed that caffeine content in the coffee significantly decreased with fermentation time. The caffeine content in Arabica and Robusta Arjuno coffee beans after 72 hrs of fermentation declined by 19.9% and 57.8% to 2.3% and 1.7%, respectively. Fermentation did not significantly change the physical of the beans but enriched the taste of coffee, where the flavor was strongly affected by the fermentation time. The analysis of the business feasibility and production risk showed that the decaffeinated Arabica and Robusta Arjuno coffee business provides a profit seven times higher than the existing coffee business.

New metrics for measuring 2D uniformity in stirring system based on reconstruction of the particle trajectory

In industrial mixing systems, the evaluation method is a crucial indicator for measuring mixing uniformity. This study proposes an assessment method that combines a method for positioning using dual cameras and a point pattern density fluctuation (PD) method based on disordered hyperuniformity. This study employs a method for positioning using dual cameras to investigate the motion trajectories of tracer balls and achieve a 3D reconstruction process. The reconstructed 3D systems are cross-sectioned through on the axis of the stirring paddle to form a 2D planar diagram of the tracer ball trajectories. The PD method is used to evaluate the mixing effectiveness of the 2D trajectory points, establishing evaluation metrics for the 2D mixing system. To ensure the accuracy of the PD method, a feasibility analysis was conducted using the conductometry. A relationship model between λ and mixing time was established, with a Pearson correlation coefficient (r) of -0.9867, indicating a strong negative linear correlation. The relationship between the planes and whole 3D space was analyzed in terms of the whole and the discrete perspective, as well as the existing methods were compared with other approaches. This study not only deepens the theoretical understanding of evaluating mixing uniformity but also provides a crucial foundation and theoretical basis for process optimization of stirring systems and design of stirred reactors. It offers valuable references and insights for engineering design and technological improvements in related fields.

Feasibility and optimal sizing analysis of hybrid PV/Wind powered seawater desalination system: A case study of four ports, Egypt

Feasibility and optimal sizing analysis of hybrid PV/Wind powered seawater desalination system: A case study of four ports, Egypt

Feasibility analysis of robots in greenhouses. A case study in European Mediterranean countries

Agriculture plays a key role in the development of today's society. The population is constantly increasing, and increased production is required that is contained and consumes resources sustainably. Automation and robotization are one way to achieve this goal. Intensive agriculture, and in particular greenhouse agriculture, modifies the production environment to improve productivity while optimising the use of resources. This article studies the current feasibility of using robots in greenhouses from five perspectives: technical, economic, social, legal, and environmental. To this end, two representative applications have been selected, spraying and harvesting, in a type of greenhouse that is also representative, the Mediterranean type, which accounts for 92% of the total greenhouse area worldwide. The work can help companies and researchers make technical and economic decisions about the introduction of robotics in greenhouses. It concludes that there are currently gaps in the technical and legal aspects, and that the business model is not profitable at present, however, robotics in agriculture will be fully viable in the future, given the growing trend towards service robots, supported by a strong interest in developing a particular legislative regulation, and a technology that evolves very quickly, reducing its costs and ensuring the sustainability of the processes.

Injected phase change seismic source construction and monitoring experiment

Scientific assessment of the transport channels and distribution of oil, gas, water, and other fluids is the key to enhancing oil and gas production capacity and ensuring the safe and efficient development of mineral resources. Traditional microseismic monitoring has been suffering from limitations such as ambiguous attribute characteristics of the seismic source and low signal-to-noise ratios of the data, leading to poor location accuracy and large uncertainties. We develop a phase change seismic source monitoring method that allows for a detailed characterization of the spatial distribution of subsurface fluid transport by accurately locating the equivalent seismic source within supportive fractures. A phase change seismic source is developed and constructed based on the phase change material, enabling control over phase change temperature, source energy, and source scale through the principle of phase change energy storage. The source introduces an active approach to seismic signal generation, diverging from the conventional passive method reliant on rock rupture. Then, 3D homogeneous models are constructed for ground monitoring and in-well monitoring using impulse source propagation theory. The numerical simulation of the wavefield uses the finite-difference method, and the equivalence of discrete sources is confirmed using the Pearson correlation function. The reliability of the monitoring method is verified through a seismic monitoring experiment and comprehensive feasibility analysis.