Periodicals of Engineering and Natural Sciences (PEN - International University of Sarajevo)
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Experimental study of the honeycomb composite material under high velocity impact
Get PDFThis study deals with the effect of complex material made from (Kevlar29, Honeycomb Aluminium and Carbon fibers) under high velocity is measured, also this material tested to specify the mechanical properties, then the high-impact loading utilizing the energy absorption tests were performed experimentally by using a gas gun device with shape of impactors flat cylindrical bullets. The discussion of the results of this work was termed under the failure of the coupling mode of the projectiles. The velocity level and defamatory affect the kinetic energy of the projectile. The thickness of the target has an impact on the projectile speed.
The findings are discussed in terms of the work done to link the failure modes with the kinetic energy fall of the projectile and its effect on ballistic maximum velocity. The effect on the rate of the target thickness was then addressed. The vitality assimilation was anticipated by expecting that all out work done in the disfigurement of the plates is comparable to the total loss of the motor vitality of the shot. The connection between possible speed and the thickness of composite material was perceived. The hypothetical outcomes demonstrated great understanding contrasted and the test work
Keeping Track of Garment Production Process and Process Improvement using Quality Control Techniques
Get PDFIn serial mass production, very small changes and factors may cause huge effects and results. Companies can ignore the small changes and struggle with the problems and wonder why or develop their systems and get improvements and benefits out of detection of small factors. In this paper tracking the process and analyzing with certain quality improvement tools has been examined, analyzed and problems are detected. Pareto analysis, flowcharting, fishbone analysis and SPC methods are used to get results. The results say a lot about company’s problems such as out of nearly 20% of the company’s production faults cause nearly 80% of their problems and statistically it is proven that those mistakes carry the process out of control. By the side, instability and great variations are detected in the process which is not wanted in any kind of mass production
Medical Disease Prediction using Grey Wolf optimization and Auto Encoder based Recurrent Neural Network
Get PDFBig data development in biomedical and medical service networks provides a research on medical data benefits, early ailment detection, patient care and network administrations.e-Health applications are particularly important for the patients who are unfit to see a specialist or any health expert. The objective is to encourage clinicians and families to predict disease using Machine Learning (ML) procedures. In addition, diverse regions show important qualities of certain provincial ailments, which may hinder the forecast of disease outbreaks. The objective of this work is to predict the different kinds of diseases using Grey Wolf optimization and auto encoder based Recurrent Neural Network (GWO+RNN). The features are selected using GWO and the diseases are predicted by using RNN method. Initially the GWO algorithm avoids the irrelevant and redundant attributes significantly, after the features are forwarded to the RNN classifier. The experimental result proved that the performance of GWO+RNN algorithm achieved better than existing method like Group Search Optimizer and Fuzzy Min-Max Neural Network (GFMMNN) approach. The GWO-RNN method used the medical UCI database based on various datasets such as Hungarian, Cleveland, PID, mammographic masses, Switzerland and performance was measured with the help of efficient metrics like accuracy, sensitivity and specificity. The proposed GWO+RNN method achieved 16.82% of improved prediction accuracy for Cleveland dataset
Designing Filter for Certain Subclasses of Analytic Univalent Functions
Get PDFIn this paper we consider certain subclasses of analytic univalent functions and plot a frequency response of appropriate circuit for both amplitude and phase with changing source frequency.
Mathematics Subject Classification, 2010: 30C45
METAPUF A Challenge Response Pair Generator
Get PDFPhysically unclonable function (PUF) is a hardware security module preferred for hardware feature based random number and secret key generation. Security of a cryptographic system relies on the quality of the challenge-response pair, it is necessary that the key generation mechanism must unpredictable and its response should constant under different operating condition. Metastable state in CMOS latch is undesirable since it response becomes unpredictable, this feature used in this work to generate a unique response. A feedback mechanism is developed which forces the latch into the metastable region; after metastable state, latch settle to high or state depends on circuit internal condition and noise which cannot be predicted. Obtained inter hamming variation for 8 PUF is 51.43% and average intra hamming distance is 99.76% with supply voltage variation and 96.22% with temperature variation
Location Selection for Wind Plant using AHP and Axiomatic Design in Fuzzy Environment
Get PDFElectricity consumption of the world has been increasing due to increasing population and production amounts, developing technology and increasing automation level. Studies show that the increase will continue in the future and the supply and demand amount should increase depending on the changing world. Renewable energy sources have become crucial due to the traditional energy sources like coal harm the environment nature and human health. Nowadays countries pay more attention to use their own resources in order to maintain their socio-economic and political independence. As awareness of clean energy increases, the usage of renewable energy sources is increasing. The investment costs of renewable energy sources are very high. For this reason, the selection of the location for renewable energy sources is a strategic decision that getting it right the first time. Different criteria are evaluated when selecting the installation location. The priorities of these criteria may be different from each other. In this study, a model was proposed for selecting the location for the installation of wind power plant via using fuzzy AHP and fuzzy Axiomatic Design methods. In the implementation phase of the model, evaluation criteria have been determined and prioritized. In the light of the evaluation criteria, 3 locations have been evaluated and the most suitable one was selected
Climate Friendly Urban Green Areas: Roadside Green Spaces in Sakarya/Turkey
Get PDFThe role of urban green areas to adapt climate change impacts has been emphasized globally as urbanization is a very common fact around the world. This issue has been addressed by the sustainable development goals, several studies also underlined that sustainable urban planning is a crucial issue to enable more livable cities. The most natural and sustainable solution is to benefit green spaces with specific landscape design approaches including xeriscape. In this study we focus on roadside green spaces in an industrialized city. Traffic islands have been assessed based on the share of hardscape and green parts together with plant species and their irrigation specifications. The irrigation requirements have been analyzed by using a potential evapotranspiration method which is Blaney Criddle equation. The need for irrigation and the influence of the roadside green spaces as an adaptation tool emerge as a controversial situation in case of low water resources. We analyzed water needs of current plantation and irrigation systems and came out with a conclusion that xeriscape practices like mulching, use of xeric plants and grey water has a good potential to optimize water usage, mitigate urban heat island effect and support adaptation to the climate change
Use of Structural Equation Modeling in Ecotourism: A Model Proposal
Get PDFStructural Equation Modeling (SEM) is an effective model improves and test technique which is explain the relationships between variables in mixed hypotheses related to statistical models and provide to test theoretical models as whole. SEM is an analyze technique that combined the multivariate statistical methods which has been used especially to analyze models in social sciences studies, psychology, sociology, education, economics and marketing.
The aim of this study, to provide for researchers introducing the use of structural equation modeling in ecotourism and to explain model specifications in stakeholder analysis. There are given some definitions, evaluations of model fits, model structures, examples from the ecotourism and landscape planning using SEM and ecotourism model proposals from literature related to SEM methodology. In the conclusion section it will be given a model proposal and recommendations using SEM in ecotourism and stakeholder analysis
Sovereign Wealth Funds: A Comparison of the Turkish Sovereign Wealth Fund with the World Samples
Get PDFSovereign wealth funds represent unity of assets that are directly or indirectly under public control and whose investments are largely concentrated across borders. Strategic objectives of the sovereign wealth funds are accumulating income surpluses for future generations or restoring the economic order and stabilizing it over the years when volatility is intense. Turkey decided the establishment of sovereign wealth fund in 2016. In this study, firstly, information on the practices of sovereign wealth funds is given. Then, the differences between the Turkish Sovereign Wealth Fund and existing samples are revealed. As a result, criticisms have been brought about the establishment and the operation process of the Turkish Sovereign Wealth Fund. Recommendations regarding the structure of the audit system and the management organization have been presented. The Turkish Sovereign Wealth Fund is a strategic step for Turkey, if it is managed properly, transparent and reliable
The Finite Element Analysis and Geometry Improvements of Some Structural Parts of a Diesel Forklift Truck
Get PDFIn this work, static analyses of structural parts of a diesel forklift were performed using Finite Element Method and possible modifications based on the original geometry of parts were utilized with respect to stress distributions at critical region to improve reliability of the forklift design. The analyses were carried out according to standard regulations related with the examined parts. The structural parts of forklift such as chassis and head guard were analysed under compulsion loading conditions. The improvements in relevant parts were demonstrated by the comparison of stress values of original and modified geometries. The finite element analyses were carried out using MSC SimXpert Nastran Finite Element software package