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International Journal of Advances in Applied Sciences
ISSN : 22528814     EISSN : 27222594     DOI : http://doi.org/10.11591/ijaas
International Journal of Advances in Applied Sciences (IJAAS) is a peer-reviewed and open access journal dedicated to publish significant research findings in the field of applied and theoretical sciences. The journal is designed to serve researchers, developers, professionals, graduate students and others interested in state-of-the art research activities in applied science areas, which cover topics including: chemistry, physics, materials, nanoscience and nanotechnology, mathematics, statistics, geology and earth sciences.
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Articles 477 Documents
Experimental and Modeling Dynamic Study of the Indirect Solar Water Heater: Application to Rabat Morocco Ouhammou Badr; Azeddine Frimane; Aggour Mohammed; Brahim Daouchi; Abdellah Bah; Halima Kazdaba
International Journal of Advances in Applied Sciences Vol 7, No 1: March 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (372.82 KB) | DOI: 10.11591/ijaas.v7.i1.pp86-96

Abstract

The Indirect Solar Water Heater System (SWHS) with Forced Circulation is modeled by proposing a theoretical dynamic multi-node model. The SWHS, which works with a 1,91 m2 PFC and 300 L storage tank, and it is equipped with available forced circulation scale system fitted with an automated sub-system that controlled hot water, is what the experimental setup consisted of. The system, which 100% heated water by only using solar energy. The experimental weather conditions are measured every one minute. The experiments validation steps were performed for two periods, the first one concern the cloudy days in December, the second for the sunny days in May; the average deviations between the predicted and the experimental values is 2 %, 5 % for the water temperature output and for the useful energy  are 4 %, 9 % respectively for the both typical days, which is very satisfied. The thermal efficiency was determined experimentally and theoretically and shown to agree well with the EN12975 standard for the flow rate between 0,02 kg/s and 0,2kg/s.
Disease prediction in big data healthcare using extended convolutional neural network techniques Asadi Srinivasulu; Asadi Pushpa
International Journal of Advances in Applied Sciences Vol 9, No 2: June 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (676.343 KB) | DOI: 10.11591/ijaas.v9.i2.pp85-92

Abstract

Diabetes Mellitus is one of the growing fatal diseases all over the world. It leads to complications that include heart disease, stroke, and nerve disease, kidney damage. So, Medical Professionals want a reliable prediction system to diagnose Diabetes. To predict the diabetes at earlier stage, different machine learning techniques are useful for examining the data from different sources and valuable knowledge is synopsized. So, mining the diabetes data in an efficient way is a crucial concern. In this project, a medical dataset has been accomplished to predict the diabetes. The R-Studio and Pypark software was employed as a statistical computing tool for diagnosing diabetes.  The PIMA Indian database was acquired from UCI repository will be used for analysis. The dataset was studied and analyzed to build an effective model that predicts and diagnoses the diabetes disease earlier.
Assessment of BIM Implementation among MEP Firms in Nigeria Chen Wang; Shittu Hammed Adetola; Hamzah Abdul-Rahman
International Journal of Advances in Applied Sciences Vol 4, No 3: September 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (331.55 KB) | DOI: 10.11591/ijaas.v4.i3.pp73-81

Abstract

The purpose of this study is to assess the awareness level and potential challenges for Building Information Modelling (BIM) adoption among the Mechanical, Electrical and Plumbing (MEP) design consultants and contractors in Nigeria, and to get the perspective of BIM in the industry. The research method used in this study was a fieldwork survey using structured questionnaires. The results from the responses were analysed using descriptive statistics, one-way ANOVA test for statistical significant difference, Chi-Square test, and Cross Tab analysis. The findings from the survey show that Nigeria MEP firms have a relatively high level of awareness toward BIM technology. The Most important challenges identified as barriers for BIM adoption are lack of technical expertise on BIM tools utilisation, lack of awareness of BIM technology, and high investment cost in training staff, process change, and software/hardware upgrade.
A Secure Data Transmission Scheme using Asymmetric Semi-Homomorphic Encryption Scheme S. Nagavalli; G. Ramachandran
International Journal of Advances in Applied Sciences Vol 7, No 4: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (967.981 KB) | DOI: 10.11591/ijaas.v7.i4.pp369-376

Abstract

The compressive detecting based information accumulation accomplishes with high exactness in information recuperation from less inspection which is available in sensor nodes. In this manner, the existing methods available in the literature diminish the information gathering cost and delays the existence cycle of WSNs. In this paper, a strong achievable security model for sensor network applications was initially proposed. At that point, a secure data collection conspire was displayed based on compressive detecting, which improves the information protection by the asymmetric semi-homomorphic encryption scheme, and decreases the calculation cost by inadequate compressive grid. In this case, particularly the asymmetric mechanism decreases the trouble of mystery key circulation and administration. The proposed homomorphic encryption permits the in-arrange accumulation in cipher domain, and in this manner improves the security and accomplishes the adjustment in system stack. Further, this paper focuses on estimating various network performances such as the calculation cost and correspondence cost, which remunerates the expanding cost caused by the homomorphic encryption. A real time validation on the proposed encryption scheme using AVISPA was additionally performed and the results are satisfactory.
Design and implementation of an effective web-based hybrid stemmer for Odia language Gouranga Charan Jena; Siddharth Swarup Rautaray
International Journal of Advances in Applied Sciences Vol 9, No 1: March 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1162.008 KB) | DOI: 10.11591/ijaas.v9.i1.pp12-19

Abstract

Stemmer is used for reducing inflectional or derived word to its stem. This technique involves removing the suffix or prefix affixed in a word. It can be used for information retrieval system to refine the overall execution of the retrieval process. This process is not equivalent to morphological analysis. This process only finds the stem of a word. This technique decreases the number of terms in information retrieval system. There are various techniques exists for stemming. In this paper, a new web-based stemmer has been proposed named as “Mula” for Odia Language. It uses the Hybrid approach (i.e. combination of brute force and suffix removal approach) for Odia language. The new born stemmer is both computationally faster and domain independent. The results are favourable and indicate that the proposed stemmer can be used effectively in Odia Information Retrieval systems. This stemmer also handles the problem of over-stemming and under-stemming in some extend.
Relations between the Causative Factors of Waste and Their Preventive Measures in China Construction Sites Sulala M.Z.F AL-Hamadani; Luo qing; Guilong Peng; Miaocheng Weng
International Journal of Advances in Applied Sciences Vol 3, No 4: December 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (352.59 KB) | DOI: 10.11591/ijaas.v3.i4.pp178-183

Abstract

Material waste has been considered as a major problem in the construction industry. Material waste not only has a negative impact on the success and efficiency of construction project, but also on construction cost, construction time, productivity and sustainability aspects. This paper aims to identify the major causative factors of material waste in China construction sites, their preventive measures and the relations between them. For this purpose, views of Chinese construction industry practitioners in Chongqing city were gathered by a questionnaire survey. The respondents were requested to rate a total of 34 causative factors of material waste and 9 preventive measures, which were gathered from previous literature. These causative factors were grouped into eight categories: Design, Handling, Procurement, Operation, Worker, Management, Site condition and External factors. The major causative factors of each category and preventive measures of waste were determined. Based on the identification of major factors and measures, the relations between them were also determined.
Frequency regulation of modern power system using novel hybrid DE-DA algorithm Sayantan Sinha; Ranjan Kumar Mallick
International Journal of Advances in Applied Sciences Vol 8, No 2: June 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1966.457 KB) | DOI: 10.11591/ijaas.v8.i2.pp103-116

Abstract

An attempt has been made to regulate the frequency of an interconnected  modern power system using automatic generation control under a restructured market scenario. The system model considered consists of a thermal generation plant coupled with a gas turbine plant in both areas. The presence of deregulated market scenario in an interconnected power system makes it too vulnerable to small load disturbance giving rise to frequency and tie line power imbalances. An attempt has been made to introduce a novel Tilted Integral derivative controller to minimize the frequency and tie line power deviations and restrict them to scheduled values. A maiden attempt has been made to tune the controller gains with the help of a novel hybrid optimization scheme which includes the amalgamation of the exploitative nature of the Differential evolution technique and the explorative attributes of the Dragonfly Algorithm. This hybrid technique is therefore coined as Differential evolution- dragonfly algorithm (DE-DA) technique. Use of some standard benchmark fucntions are made to prove the efficacy of the proposed scheme in tunig the controller gains. The supremacy of the proposed TID controller is examined under two individual market scenarios and under the effect of a step load disturbance. The robustness of the controller in minimizing frequency deviations in the systems is broadly showcased. The superiority of the controller is also proved by comparing it with pre published results.
Enrich multi-channel P2P VoD streaming based on dynamic replication strategy K.T. Meena Abarna; T. Suresh
International Journal of Advances in Applied Sciences Vol 9, No 2: June 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (570.186 KB) | DOI: 10.11591/ijaas.v9.i2.pp110-116

Abstract

Peer-to-Peer Video-on-Demand (VoD) is a favorable solution which compromises thousands of videos to millions of users with completeinteractive video watching stream. Most of the profitable P2P streaming groupsPPLive, PPStream and UUSee have announced a multi-channel P2P VoD system that approvals user to view extra one channel at a time. The present multiple channel P2P VoD system resonant a video at a low streaming rate due to the channel resource inequity and channel churn. In order to growth the streaming capacity, this paper highlights completely different effective helpers created resource balancing scheme that actively recognizes the supply-and-demand inequity in multiple channels. Moreover, peers in an extra channel help its unused bandwidth resources to peers in a shortage channel that minimizes the server bandwidth consumption. To provide a desired replication ratio for optimal caching, it develops a dynamic replication strategy that optimally tunes the number of replicas based on dynamic popularity in a distributed and dynamic routine. This work accurately forecasts the varying popularity over time using Auto-Regressive Integrated Moving Average (ARIMA) model, an effective time-series forecasting technique that supports dynamic environment. Experimental assessment displays that the offered dynamic replication strategy which should achieves high streaming capacity under reduced server workload when associated to existing replication algorithms.
Small Hydro Power Schemes: Technical Aspects Hira Singh Sachdev; Ashok Kumar Akella
International Journal of Advances in Applied Sciences Vol 6, No 1: March 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (586.989 KB) | DOI: 10.11591/ijaas.v6.i1.pp55-63

Abstract

Small hydro systems play a major role in meeting power requirements of remote, isolated, hilly areas in a decentralized manner by tapping water streams, rivulets and canals of small discharge. Small hydroelectric system captures the energy in flowing water and converts it to electricity.Of all the non-conventional renewable energy sources, small hydro stands first as it is more resourceful, reduces system  losses, environment friendly, non-consumptive and source is renewable due to their enormous advantages over large hydro and other power plants, lot of small hydro-power plants have come up across the world to meet the ever increasing demand of electrical energy. Lowering the high initial cost of the small hydro-power plants and its popularization is today’s challenges. This paper describes basic techniques design of the small hydro-power development.
Martensitic Transformation Characteristic of Ni-Mn Based Ferromagnetic Shape Memory Alloys Ajit Behera; Asit Behera; S.C. Mishra
International Journal of Advances in Applied Sciences Vol 2, No 4: December 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (117.936 KB) | DOI: 10.11591/ijaas.v2.i4.pp205-208

Abstract

Ferromagnetic shape memory alloys emerge as new functional materials which have interesting magnetomechanical coupling effects such as the ferromagnetic shape memory effect. These types of materials significantly change their shape and dimensions under the application of external fields i.e. either by using thermal energy or magnetic energy. Among them, some are the magnetostrictive alloys which in turn can change their shape by magnetic field up to 0.1 percent and by mechanical stress up to 10 percent in martensitic state. Up to 6 percent deformation can be obtained in materials under the action of the magnetic field which undergo the thermoelastic transformation into ferromagnetic phase. Due to higher processing cost and costly elements for alloying, ferromagnetic shape memory alloy have not so broadly utilization and satisfactorily use. Among different type of Ni-Mn based Heusler ferromagnetic shape memory alloys, Ni-Mn-Sn alloy have potential properties and exhibits lower cost. In this paper martensitic transformation of Ni50Mn50-ySny (y= 5, 10, 12.5) alloys were investigated. By differential scanning calorimetric measurement, it has been observed that, by keeping one element i.e. Ni as constant weight percentage, if we increase the weight percent of Sn; then martensitic starting temperature as well as austenitic starting temperature gradually decreases.

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