International Journal of Frontiers in Engineering and Technology Research最新文献

{"title":"On enforcing dyadic-type self-map constraints in MatBase","authors":"Christian Mancas","doi":"10.53294/ijfetr.2023.5.1.0023","DOIUrl":"https://doi.org/10.53294/ijfetr.2023.5.1.0023","url":null,"abstract":"Self-maps are widely encountered in the sub-universes modeled by databases, from genealogical trees to sports, from education to healthcare, etc. Their properties must be discovered and enforced by the software applications managing such data to guarantee their plausibility. The (Elementary) Mathematical Data Model provides 13 dyadic-type self-map constraint types. MatBase, an intelligent data and knowledge base management system prototype, allows database designers to simply declare them by only clicking corresponding checkboxes and automatically generates code for enforcing them. This paper describes the algorithms that MatBase uses for enforcing all these 13 self-map constraint types, which may also be used by developers not having access to MatBase.","PeriodicalId":231442,"journal":{"name":"International Journal of Frontiers in Engineering and Technology Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121249235","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A review of gas turbine inlet cooling technologies","authors":"Odila C. C. E, Saturday E. G, Ebieto C. E","doi":"10.53294/ijfetr.2023.5.1.0020","DOIUrl":"https://doi.org/10.53294/ijfetr.2023.5.1.0020","url":null,"abstract":"Gas turbine (GT) performance is primarily dependent on the inlet air temperature. The power output of gas turbine is dependent on the flow of mass through the gas turbine. This is why at hot weathers with less dense air, the power output drops, but at cold weather with high dense air, the power output rises. The inlet air cooling (IAC) technology is one of the major drivers that enhance the gas turbine performance, especially during the hot weathers. The performance of gas turbine is affected by various factors such as inlet air cooling, fuel type, fuel heating value, air temperature, turbine inlet temperature, humidity, site elevation, inlet and exhaust losses, air extraction, diluent injection, performance degradation, etc. The aim of this technical review is based on the comparative analysis of different gas turbine inlet air cooling (GTIAC) technologies and its applications based on the climate conditions. The power consumption due to inlet air cooling calls for major concern since it reduces the GT net power output. Different GTIAC has its unique benefits and challenges. The biggest gains from evaporative cooling are achieved during hot, low-humidity climates. Furthermore, the review paper showed that the efficiency of the evaporative cooler is majorly dependent on the moisture present in the air. The work also reveals that the feasibility of each GTIAC application is basically dependent on the location.","PeriodicalId":231442,"journal":{"name":"International Journal of Frontiers in Engineering and Technology Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116627559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Local cycles of the universe","authors":"V. Etkin","doi":"10.53294/ijfetr.2023.5.1.0019","DOIUrl":"https://doi.org/10.53294/ijfetr.2023.5.1.0019","url":null,"abstract":"The concept of the \"dynamic Universe\" is presented, in which the circulation of the continuum and corpuscular phases of matter with their inherent forms of energy. This process includes evolutionary and involutionary stages, the first of which begins with wave formation in the “hidden” (unstructured) part of the matter of the Universe and the transition of its “gravistatic” (potential) energy into “gravidynamic” (oscillatory) with the formation of a structured (baryonic) matter, its further compaction and complication, the formation of small and large celestial bodies, the occurrence of thermonuclear reactions in the latter, and an increase in pressure. The second stage includes their \"explosion\" of supernovae because of the violation of their stability, the later \"big gap\" and the return of matter to its original state. This circuit, occurring spontaneously in various regions of the infinite Universe, allows it to function in time and space indefinitely, bypassing the state of equilibrium. The data of astronomical observations are presented, confirming the proposed alternative to the \"Standard Model\" concept.","PeriodicalId":231442,"journal":{"name":"International Journal of Frontiers in Engineering and Technology Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128680804","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigating the effects of SiC particles addition and thermal treatment on 90% Al- 10% Cu alloy","authors":"Aondona Paul, A. Ihom, E. Odeh, E. O. Onche, Philip. T. Aondona, Joshua Mfon Bassey, Ugoh O. W. Emenike","doi":"10.53294/ijfetr.2023.4.2.0015","DOIUrl":"https://doi.org/10.53294/ijfetr.2023.4.2.0015","url":null,"abstract":"Investigation of the effects of SiC particles addition and thermal treatment on 90Al-10Cu alloy has been undertaken. The work produced 90Al-10Cu Alloy and further produced test castings to which particle additions of SiC were added in the order 0.5%SiC, 1%SiC, 2%SiC and 4%SiC to see the effects of a wider variation in particle addition. These additions were made using stir-cast method to produce the test sample bars. The test sample bars were then taken to the University of Uyo, Faculty of Engineering workshop to prepare the test specimens into standard specifications for various tests. Some of the prepared test specimens were then given thermal treatment called age hardening. The specimens were first solutionised in the furnace at 500 oC (500 C) and quenched in warm water at 60C. It was then aged at 170C for three hours before cooling in air. It was after this treatment that the test specimens were subjected to hardness test, wear resistance test, strength test, and microstructure analysis. The result of the work showed that the thermal treatment had effect on the microstructure of all the samples. The result also showed that the SiC particle addition also affected the mechanical properties of the specimens. For the untreated compositions the alloy and 90Al-10Cu/2%SiC particulate composite had the lowest wear rate value of 0.0212mm3/N/m. 90Al-10Cu/1% SiC had the highest hardness value of 67.38 BHN. 90Al-10Cu/0.5%SiC particulate composite outperformed other compositions with the following mechanical properties: hardness value of 64.28BHN; ultimate compression strength of 217.18N/mm2; % reduction at failure of 3.01; and wear rate value of 0.0633 mm3/N/m. For the thermally treated compositions; the lowest wear rate of 0.0246mm3/N/m is with the alloy composition and 90Al-10Cu/2%SiC particulate composite. 90Al-10Cu/1%SiC particulate composite has the highest hardness value of 82.02BHN; the highest % reduction at failure of 1.13%, and wear rate value of 0.05982, while 90Al-10Cu/0.5%SiC particulate composite has hardness value of 80.12BHN, ultimate compression strength of 240.95N/mm2, % reduction at failure of 1.06%, and wear rate of 0.0895mm3/N/m. The 1% SiC reinforced particulate composite performed better than other compositions, but it is closely followed by 0.5%SiC reinforced particulate composite for the thermal treated compositions in terms of improved mechanical properties. This correlates with their microstructures which all show the precipitation of a second phase.","PeriodicalId":231442,"journal":{"name":"International Journal of Frontiers in Engineering and Technology Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128237820","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A comparison between diesel-electric and mechanical propulsion plants for a small cruise ship","authors":"U. Campora, G. Benvenuto","doi":"10.53294/ijfetr.2023.4.2.0013","DOIUrl":"https://doi.org/10.53294/ijfetr.2023.4.2.0013","url":null,"abstract":"The paper reports the comparison between diesel-electric and mechanical propulsion plants, employed to a small cruise ship propulsion. The plants prime movers are the Rolls-Royce Bergen marine diesel engines. Both engine versions, characterized by similar rated power but different power lint curve and specific fuel contours trend in the power-speed plan, are tested in all the considered propulsion plant types by simulation. In addition, the diesel-electric propulsion plants are simulated considering the diesel generators working in both constant or variable speed. The comparison between all the considered ship propulsion plants are presented in tabular and graphical form and commented.","PeriodicalId":231442,"journal":{"name":"International Journal of Frontiers in Engineering and Technology Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125466949","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effect of process parameters on biodiesel yield produced from palm kernel shell oil (PKSO) using eggshell as catalyst","authors":"S. O. Effiom","doi":"10.53294/ijfetr.2023.4.1.0012","DOIUrl":"https://doi.org/10.53294/ijfetr.2023.4.1.0012","url":null,"abstract":"Effect of process parameters on biodiesel produced from PKSO and eggshell catalyst is investigated. The study showed the significant effect of the process parameters and properties on biodiesel yield. The appropriate reaction parameters that had the maximum biodiesel yield of 79.53% were 3% catalyst concentration, 150 minutes reaction time, 65oC reaction temperature, 12:1 methanol/oil molar ratio, and agitation speed of 300 rpm. Critical fuel properties such as; density, kinematic viscosity, flash point, fire point, cloud point, pour point, free fatty acid, aniline point, diesel index, API gravity, cetane, and fuel calorific values of the biodiesel obtained from all operating parameters were found to be between 0.8461 – 0.8831kg m-3, 5.31 – 7.84 mm2s-1, 97 – 141 oC, 107 – 150 oC, 4.14 – 6.5 oC, 1.5 – 4.5 oC, 0.318 – 0.931mgKOH/kg, 45 – 52 oC, 31.83 – 41.17, 28.165 – 33.258, 28.8313 – 41.1519, and 16 – 18% respectively. These values are within the accepted standard limits for diesel fuels.","PeriodicalId":231442,"journal":{"name":"International Journal of Frontiers in Engineering and Technology Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133934530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Influence of the marine engine load diagram characteristics on the ship propulsion system performance","authors":"Giovanni Benvenuto, Ugo Campora","doi":"10.53294/ijfetr.2022.3.2.0059","DOIUrl":"https://doi.org/10.53294/ijfetr.2022.3.2.0059","url":null,"abstract":"In this study two four-stroke marine diesel engines, characterized by very similar nominal power and speed, but with very different trend of the power lint curve and specific fuel consumption contours in the engine load diagram, are compared by simulation, using each of them as an alternative to the other engine, for the motorization of a conventional (mechanical) propulsion plant for a small cruise ship. It is thus possible to determine and compare the efficiencies of the two engines and the vessel propulsion system overall performance for different ship speeds. The results of the comparisons are presented and discussed in the paper.","PeriodicalId":231442,"journal":{"name":"International Journal of Frontiers in Engineering and Technology Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122941021","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Study of non-grazing conflicts in protected areas (case study: Bahram-e Goor protected area-Iran)","authors":"Reza E Owfi, Hossein Barani, Ahmad Abedi Sarvestani","doi":"10.53294/ijfetr.2022.3.2.0057","DOIUrl":"https://doi.org/10.53294/ijfetr.2022.3.2.0057","url":null,"abstract":"Protected areas have emerged as one of the most important and effective tools in the world for biodiversity conservation. Changing the use of natural lands, especially rangelands to protected areas, causes livestock grazing to be restricted in some of the grazing lands. These restrictions cause conflict between different natural land stakeholders. This study investigates the non-grazing management conflicts in the Bahram-e Goor protected area in Iran. In the first stage of the study, in order to investigate the existing conflicts, interviews were conducted with various stakeholders. The sampling method is classification, optimum allocation and targeted sampling method and the statistical population size is obtained from snowball method. The tool used for data collection was questionnaire and R and Gephi software were used for statistical analysis of data. Overall, 15 stakeholder groups and 19 conflict codes were identified. On the other hand, 354 questionnaires were also completed. The results of this research show the number of conflicts of the Department of Environment with 20 conflicts, more than others. Also, the highest number of conflicts is between the Department of Environment and unauthorized tourists, with four conflicts, and with farmers and gardeners, with three conflicts. Based on the findings of this study, in order to resolve key and important conflicts, planning can be done by the management of natural resources and protected areas.","PeriodicalId":231442,"journal":{"name":"International Journal of Frontiers in Engineering and Technology Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126779132","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"valuation of a nutrient film aquaponic system for growing of lettuce","authors":"Ajayi, T. O, Olanrewaju, O.O, Aserifa, T.G","doi":"10.53294/ijfetr.2022.3.2.0050","DOIUrl":"https://doi.org/10.53294/ijfetr.2022.3.2.0050","url":null,"abstract":"Aquaponics as a key factor in the advancement of integrated food production systems and noted potential by simultaneous combination of aquaculture and hydroponics practice. This study evaluate a nutrient film aquaponics system (NFT) for catfish and lettuce. The catfish was raised under different feeding rate treatment: 5% (TRT5%) and 3% (TRT3%). The lettuce was grown with the water from the two treatments and the convectional method (control). The observation were taken in seventh days after transplanting for 4 weeks. The effect of the treatments and water quality on the growth and yield parameters of lettuce were analyzed using analysis of variance and regression analysis at 5% significance level. The result shows that the initial weight of the stocked fish under different treatment tanks had no significant difference (P<0.05). In 3-10th weeks, TRT5% is significantly (P<0.05) higher than the TRT3%. The TRT5% significantly increased the leaf number and plant height of the lettuce by 27.38% and 28.72% respectively con. The TRT3% significantly increased the leaf number and plant height of the lettuce by 13.10% and 12.34% respectively. The developed mathematical models for number of leaf, plant height, leaf area, weight and productivity had an accuracy of93.2%, 95.6%, 99.7%, 98.28% and 83.32% respectively, Therefore, it should be adopted by small and medium scale aquaponics farmer for significant prediction on lettuce yield as a function of NFT water quality.","PeriodicalId":231442,"journal":{"name":"International Journal of Frontiers in Engineering and Technology Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132642432","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correlation for predicting bubble point pressure for 22.3≤°API≥45 crude oils: A white-box machine learning approach","authors":"Prince Benard Ikpabi, Oluwatoyin Olakunle Akinsete","doi":"10.53294/ijfetr.2022.3.2.0043","DOIUrl":"https://doi.org/10.53294/ijfetr.2022.3.2.0043","url":null,"abstract":"Bubble point pressure (BPP) is a key parameter for oil and gas reservoir identification, characterization, and management. An accurate correlation of this property with the evolving digital technology of machine learning, in the absence of experimental PVT analysis, serves as guidance in the development and recovery of reservoir fluids. In this study, a predictive BPP correlation was derived by intrinsically linearizing a nonlinear multiple regression, with the best coefficients (global minimum) extracted using White-box (Linear Regression, Ridge Regression, and Lasso Regression) Machine Learning models. The new correlation was developed, validated, and tested using 314 measured PVT data points from the Niger Delta Region. The data were subdivided into four classes: extra-light crude for API > 45, light crude for 31.1 < API ≤ 45, medium crude for 22.3 < API ≤ 31.1, and heavy crude for API ≤ 22.3. Statistical evaluation metrics such as root mean squared error, average absolute relative error, and average relative error were employed to compare the performance of the new correlation with the existing empirical ones. Results showed that the new BPP correlation developed by White-box Linear Regression outperformed the other White box (Ridge Regression and Lasso Regression) and other existing BPP empirical models. Taking advantage of emerging data-driven and machine learning as BPP predictive model is effective and efficient in reservoir fluids analysis.","PeriodicalId":231442,"journal":{"name":"International Journal of Frontiers in Engineering and Technology Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126608333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}