International Journal of Innovative Science and Modern Engineering
EISSN : 2319-6386
Published by: Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP (10.35940)
Total articles ≅ 9
Articles in this journal
Published: 30 August 2021
International Journal of Innovative Science and Modern Engineering, Volume 7, pp 1-17; https://doi.org/10.35940/ijisme.c1288.087321
The principal objective for this work was to extend the field of application of FEM to space frame beam-column connections under static loading and with lateral displacements. A four-storey building was modelled under static load condition. Horizontal and vertical structural elements were designed according to Eurocode 2. In order to understand the behavior of the external node made by under column, two beam and upper column, two models using correct boundary condition and nonlinear behavior of materials have been done using Abaqus Software The analysis was performed on an interior and an exterior joint models each in two conditions: unconfined and confined joint varying the distributions of number of stirrups for the beam reinforcement and the column reinforcement .A sup structural model to submit to numerical analysis have been performed, the Concrete Damage Plasticity model (CDPM) has been chosen for fit the nonlinear behavior for the concrete and the elastoplastic model has been adopted for the nonlinear behavior for the reinforcement (stirrups, longitudinal and vertical bars). The models were then verified against already existing and validated analytical results and results of experiments conducted on specimens.
Published: 30 August 2021
International Journal of Innovative Science and Modern Engineering, Volume 7, pp 18-24; https://doi.org/10.35940/ijisme.c1289.087321
In the conventional static analysis of building frames, the base is idealised on rigid supports and the building is subdivided into three parts namely, the superstructure, the foundation and the ground soil, before design. In real life situations, the soil underneath the building undergoes deformations which may alter the performance of the structure. In this paper, it is studied the effect of soil type and foundation type on the response of a building frame system with both fixed base and flexible base. The Winkler model of soil-structure interaction is adopted to study the influence of soil flexibility and foundation rigidity on a 4 storey RC building with a regular plan resting on three types of soils namely, the light peat marshy ground, wet clay and medium gravel with fine sand. Three types of foundations are considered in the study: isolated footings, tied foundation and the raft (with and without overhangs) foundations. Winkler model is developed using springs by Finite Element Method in SAP2000. The settlement, the bending moment, the shear force and the axial force are the parameters placed forth for the comparative study. Results obtained reveal an increase in the response of the structure with respect to the soil flexibility and foundation rigidity.
Published: 30 March 2021
International Journal of Innovative Science and Modern Engineering, Volume 7, pp 1-8; https://doi.org/10.35940/ijisme.b1280.037221
Contending with Non-Technical Losses (NTL) is a major problem for electricity utility companies. Hence providing a lasting solution to this menace motivates this and many more research work in the electricity sector in recent times. Non-technical losses are classed under losses incurred by the electricity utility companies in terms of energy used but not billed due to activities of users or malfunction of metering equipment. This paper therefore is aimed at proffering a solution to this problem by first detecting such loopholes via the analysis of consumers’ consumption pattern leveraging Machine learning (ML) techniques. Support vector machine classifier was chosen and used for classifying the customers’ energy consumption data, training the system and also for performing predictive analysis for the given dataset after a careful survey of a number of machine learning classifiers. A classification accuracy (and subsequently, class prediction) of 79.46% % was achieved using this technique. It has been shown, through this research work, that fraud detection in Electricity monitoring, and hence a solution to non-technical losses can be achieved using the right combinations of Machine Learning techniques in conjunction with AMI technology.
Published: 30 March 2021
International Journal of Innovative Science and Modern Engineering, Volume 7, pp 9-14; https://doi.org/10.35940/ijisme.b1281.037221
Due to high material consumption, infrastructure construction is rapidly becoming a serious problem in this world, particularly in developing countries. Concrete is produced in greater amounts, as a result of this aggregate shortage The focus of this research was to see if ash can substitute for fine aggregates in concrete The sample was collected from the Ayka Addis mill pond ash.The experimental laboratory of this research work was used to conduct tests on gradation, specific gravity, unit weight, moisture content, silt content, and water absorption, as well as workability, density, and compressive strength. The workability of each mix was measured before the concrete was cast, and the slum was 25 to 50mm. Furthermore, for accurate testing of density and compressive strength, cubes (150mm x 150mm x 150mm) of 7% to 30% pond and 5% to 30% of ash density, which were of concrete, were prepared. Up to 10% of the total mix, the concrete was found to have compressive strength of 34.75 N/sq.m.For this reason, fine aggregate at 10% replacement is the best aggregate to use.
Published: 28 February 2021
International Journal of Innovative Science and Modern Engineering, Volume 7, pp 1-8; https://doi.org/10.35940/ijisme.a1278.027121
Antenna is an essential part of the human life in present world and will be indistinguishable part of the life in coming days. Various generations of antenna designs are required to enhance data rate from 2 kbps to 1 Gbps and higher. Even uplink and downlink delays are dependent on the mobile generations. Modern wireless communication works on the low latency and high data rates for the VOD and BOD services. As, the population of mobile phones demand is growing exponentially, so the higher frequency bands are in demand and compactness of the devices is the prime object along with reliability of the signals/data. Various generations of the antennas are available and have enhancement in applications as well as enhancement in the data rates. Therefore, SISO, MIMO, arrays, MIMO-arrays are available for specific requirements. A thorough literature review has been done to focus the light on the antenna technologies.
Published: 15 April 2020
International Journal of Innovative Science and Modern Engineering, Volume 6, pp 10-13; https://doi.org/10.35940/ijisme.f1219.046620
Purpose: Research interest in Internet of things (IOT) and autism spectrum disorder (ASD) has grown. In this literature, we will discuss how computer technologies can recover the life value of the people with the Autism. There is a requirement to analyze the literature to let computer technologies reflect their applicability. The literature target was to study nature and results of studies probing IOT valuation in ASD. Technique: A systematic examination of the different literature was carried out, in which 7 studies are matched with an inclusion criteria. Information was taken out by authors from every involved article, containing characteristics of the participant, use of technology, actions and reported results. Superiority literature of all the articles was carried out. Result: The 284 participants with autism spectrum disorder across the 7 involved studies include the participant with the age from 6 months to middle age. The quality of the studies varied. A variety of services were delivered via IOT, including diagnostic assessment and early detection. Results suggested that services delivered through various internets of things were equal to services provided face to face, and higher to human techniques. Conclusion: The suggested outcomes might be a sequence of benefits with the use of internet of things with individuals suffering from ASD, their families, and trainers. Additional research is essential mainly regarding the usage of IOT openly with kids with ASD for the assessment and involvement
Published: 15 March 2020
International Journal of Innovative Science and Modern Engineering, Volume 6, pp 6-12; https://doi.org/10.35940/ijisme.e1200.036520
The Rwandan construction industry contributes up to 7.4% of the total GDP of 2010, yet its performance within the economy has been, and continues to be, very poor due to cost overruns resulting to abandonment of of projects. system procurement is still dominant in the Rwandan construction sector and this may likely continue to be the trend. Delay in project execution is a major problem in the Rwandan construction industry. This occurs both in small and large projects. Virtually, all the projects executed over the years in Rwanda were faced with problem of delay in delivery. The primary objective of the study is to analyze the influence of procurement systems on construction projects. Specific objectives are; to identify the extent to which various procurement systems commonly used by project managers in Kigali for construction projects, to examine when The traditional design-bid-build influence of procurement systems encountered employing various procurement systems for construction projects, to assess the merits and demerits of the various procurement systems on construction cost, develop a framework of procurement factors influencing delays. For the research design and methodology, the research will be carried out in Energy Development Corporation Limited as one of the institutions highly involved in the procurement and execution of construction works in Rwanda. The descriptive and explanatory approaches were done during the research and qualitative and quantitative methods were considered as well. About the sample size and target population, the researcher considers 21 as target population and census technique was used. Data analysis used spread sheets, SPSS and other statistic graphs and tables. The data The type of validity used by the researcher for this study was the content validity. For the reliability of the data collection instrument, Test- retest reliability was used. It is a measure of reliability obtained by administering the same test twice over a period of time to a group of individuals. The findings guided the researcher after analyzing data, to systems collection instruments were questionnaires. observe the influence of procurement on construction projects in Rwanda.
Published: 15 March 2020
International Journal of Innovative Science and Modern Engineering, Volume 6, pp 1-5; https://doi.org/10.35940/ijisme.d1192.036520
Aluminium metal matrix super alloy belongs to advanced category of super alloy which finds wide place in numerous important industry such as aerospace, automobile, missiles etc. because of its elevated mechanical, physical and chemical properties. The innovative manufacturing processes have come into existence to machine such kinds of newer super alloys. Electric discharge machining (EDM) is such a process which is comprehensively applied these days for machining of AMMCs. In the present research the EDM experimentation on Al/4.6B4C composites by considering discharge current, Ton and Toff as process performances have been conducted. The material removal rate and micro hardness have been considered as process output parameters. The RSMs has been developed for both the responses and finally single objective optimization of both the response parameters have been done by applying RSM- genetic algorithm-based optimization (GA) approach. It has been observed that GA gives better results.
Published: 15 January 2020
International Journal of Innovative Science and Modern Engineering, Volume 6, pp 1-4; https://doi.org/10.35940/ijisme.d1186.016420
India is an agricultural country. A total of 61.5% of the people cultivate in India. Due to lack of agricultural land and change of weather, many types of diseases occur on crops and insects are born. Therefore, the production of crops is coming down. To reduce this problem, Internet of Things technology will prove to be an important role. In this system, a sensor network will be created on agricultural land using Raspberry Pi 3 model. The images of the crops will be taken by sensor cameras and these images will be sent to the cloud server via Raspberry Pi 3 model. In this proposed methodology, various image processing techniques willbe apply on acquired images for classification of crop diseases using k-means clustering algorithm with unsupervised machine learning. This paper will also shows the method of image processing technique such as image acquisition, image pre-processing, image segmentation and feature extraction for classification of crop diseases. In bad natural environment, the farmers can produce quality crops and people will get healthy food by this proposed methodology and make more profit. In real time treatment of crop diseases, farmer will increase quantity of their crops