bluuebunny/crossref_metadata_2025 huggingface dataset:
Field Stress Control of a Functionally Graded Disk Type Spacer in a Gas Insulated Bus Duct with Metal Inserts
Authors:   Research Scholar, Dept. of EEE ,JNTUA-Ananthapuramu & Assistant Professor in EEE Dept., GITAM School of Technology, Bengaluru, Karnataka, India., Nagaraju A. , Reddy N. Ravi Sankar ,   Associate Professor, Department of EEE,G Pulla Reddy Engineering College, Kurnool, A.P, India., Kiranmayi R. ,   Professor and HOD, Department of EEE, JNT University Anantapur, Ananthapuramu, A.P, India.
Published: November 2019

High voltage electric utilities are hindered with certain difficulties like high stress distribution and insulation damage that are needed to be taken care for reliable operation of the system. In a Gas Insulated bus duct, high field stress along the spacer surface especially at the contact point of the conductor, insulator and gas (called triple junction) is a major factor affecting the insulation strength. Research studies of shaping the spacer were found effective in controlling the stress distribution but found to be complicated in real time application. In this paper, functionally graded materials of disc type spacer with different permittivity are proposed for controlled field stress distribution at the spacer surface. Electric field calculations with different gradings from high to low and U shape are done. Properly shaped metal inserts are incorporated to have a uniform stress distribution along the spacer.
A Modified Winding Function Theory and Firefly Algorithm based Optimization for Diagnosis of Eccentricity in Induction Motors
Authors:   Department of Electrical Engineering, NITTTR, Sector 26, Chandigarh-160019, India, Nikhil  , Sharma Amandeep ,   Department of Electrical Engineering, NITTTR, Sector 26, Chandigarh-160019, India., Minhas Navdeep ,   Department of Mechanical Engineering, NITTTR, Sector 26, Chandigarh-160019, India., Singh Arshdeep ,   Department of Electrical Engineering, NITTTR, Sector 26, Chandigarh-160019, India.
Published: November 2019

In past, several analytical models has been developed to establish the occurrence of various induction motor faults. Some of the primarily occurring faults in induction motor being; bearing and stator winding faults and to a smaller extent the other types such as rotor and eccentricity. Though there has been a lot of research work done in detection and diagnosis, still the recognition of eccentricity fault in induction motors, specifically deciding the precise degree of eccentricity is a challenging task for the researchers. In this paper, a novel model-based approach has been developed for the detection of exact type and degree of eccentricity fault present in the motor. Simulation of induction motor for both healthy and eccentricity fault has been carried out using the Modified Winding Function (MWF) approach. A procedure has been developed for estimating the eccentricity fault from simulation model. Also, a metaheuristic nature inspired algorithm, viz. Firefly Algorithm (FA) has been used for the optimization of results obtained from simulation model. The results obtained from experimental investigations are close to that obtained from simulations, confirming the applicability of used model and simulation approach to find the exact degree of eccentricity defect.
Optimization of Poly Phase Codesin Time Domain for MIMO RADAR
Authors:   Department of Electronics and Communication, SVNIT, Surat, India, Bhamre Pooja , Gupta Shilpi ,   Department of Electronics and Communication, SVNIT, Surat, India.
Published: November 2019

Multiple Input Multiple Output (MIMO) RADAR system is proficient in improving the range resolution while considering the orthogonality of the signal. In this paper, Poly Phase coded waveforms are optimized in time domain. The phase codes of the transmit waveforms are designed using ‘JAYA’ optimization algorithm and compared with the literature. Though Multi-Objective Decision Making (MODM) problem shows trade-off between different performance parameters, computationally effective ‘JAYA’ algorithm outperforms. The approach is validated with mathematical modeling and numerical simulations.
Dimension Reduction of Hand and Face Feature Level Fusion in Multimodal Biometric Authentication
Authors:   Department of Computer Science & Engineering, Visvesvaraya Technological University, Belagavi, India., Gowda SR Shankara , Kumar AN Dr. Nanda ,   Department of Computer Science & Engineering, GSSS Institute of Engineering and Technology for Women, Mysore, India.
Published: November 2019

The proposed work is a multimodal biometric authentication approach with image texture feature dimension reduction of trained feature vector which leads reduction in memory size and in turn reduces the computational time. In this paper hand and face features are used for person identification. The texture features of hand image are extracted using Haar and several Daubechie’s of 2D-DWT followed by 2D- edge detector gives better identification with reduction in feature vector and face features are extracted by neighborhood common characterization with block based segmentation approach to estimate the disparity in face. The neighborhood common characterization based structure recognition with a person representative per sample is more effective. The neighborhood features are constructed by extracting the similar blocks in the image, the intra pixel disparity feature is obtained by exploiting external common images to estimate the feasible facial disparities. Neighborhood common characterization reduces the overall residual of the given features over the local feature, common disparity dictionary, and shape based residual of a block. Neighbourhood common characterization representation, of face recognize with one representative per person more effectively. The system uses either of the biometric traits for person identification with 99.98% of authentication rate.
Hybrid Reinforced Composite Material from Garbage to Biomaterials
Authors:   Department of Mechanical Engineering, St Peter's Institute of Higher Education and Research, Chennai, Tamil Nadu 600 054, India, Kumar S.Dinesh , Haris S.Mohamed ,   Department of Mechanical Engineering, St Peter's Institute of Higher Education and Research, Chennai, Tamil Nadu 600 054, India, Rahaman R. Mujeebur ,   Department of Mechanical Engineering, St Peter's Institute of Higher Education and Research, Chennai, Tamil Nadu 600 054, India., Balamurali K. ,   Department of Mechanical Engineering, St Peter's Institute of Higher Education and Research, Chennai, Tamil Nadu 600 054, India
Published: November 2019

A hybrid reinforced composite material which fundamentally contains horticulture squander materials like banana stem outer layer (Musa sepientum) modified to powder form, egg shell modified to fine powder ,the said powders (powder have a size in a range of 10 to 50 microns) being mixed in a matrix of bio epoxy resin using a catalyst to effect complete mixing of the said powdered fibers to yield the said hybrid reinforced composite, the said hybrid composite capable of being molded to any geometrical object, the said composite having a low water retention property with retention being in a range of 14-23% with a soaking time of 120 hrs. Before and after chemical treatment in both with and without moisture, the youngs modulus varies from 12321.5241 N/mm2 to 25779.2532 N/mm2 , the flexural values varies from 17.4 N/mm2 to 25.5 N/mm2 ,impact strength varies from 12.6 J to 20.9 J , % of elongation varies from 5.6% to 10.1%. The composite has negligible change in tensile properties up to a load of 270 Kg also flexural properties and impact strength of the composite were not be affected by under moisture conditions.
Analysis of Part Built Orientation of the Polyjet 3 D Printed Polymer Component
Authors:   Department of Mechanical Engineering, St Peter's Institute of Higher Education and Research, Chennai, Tamil Nadu 600 054, India., Rangarajan S. , K Sunitha ,   Department of Mechanical Engineering, St Peter's Institute of Higher Education and Research, Chennai, Tamil Nadu 600 054, India., Mahesh A Anna ,   Department of Mechanical Engineering, St Peter's Institute of Higher Education and Research, Chennai, Tamil Nadu 600 054, India
Published: November 2019

The objective of this study was to determine appropriate orientation for the scaffold by using 3D printing. This has been done by fabrication in vertical and horizontal orientation and then the specimen were subjected to tensile and compressive test for its mechanical characterization of a specimen, a suitable orientation was found to be horizontal. Finally, FEA analysis was also carried out to match with experimental result.
Technological Impact of Gold as a natural resource in Australia and it’s impact on Australian Economy
Authors:   Assistant Professor with “Lovely Professional University” Jalandhar-Punjab., Sood Rohit , Sidana Neeru ,   Associate Professor with “Lovely Professional University” Jalandhar-Punjab., Sidana Ajay ,   Associate Professor in India’s largetest private University “Lovely Professional University”, Jalandhar- Punjab.
Published: November 2019

This research represents the demand and supply of Gold as a natural resource and it’s contribution to the GDP of the country. The market for gold is dynamic in nature and many factors are impacting it at any given time. Gold having an economic feasibility leads to exports and investments and its consumption consists of precious jewelry and watches etc. It is the utmost important natural resource for the world and Australia is having it in abundance. It acts as a catalyst to investment in terms of storage of value for the people of the country and in terms of mining for the producers. Gold exports contribute to the economic output and ultimately leads to the incremental GDP of the country.
Developing Mathematical Models and Methodologies to Overcome Lean Strategy Selection and Leanness Assessment Problems
Authors:   Research Scholar, Department of Mechanical Engineering, KoneruLakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, 522502, India., Deshpande Rakhi Ashok , Rao Dr. P. V. Rama ,   Professor, Department of Mechanical Engineering, KoneruLakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, 522502, India.
Published: November 2019

This investigation inspects the impact of lean strategies among chose manufacturing organizations. In orderto remain focused; creating cheaper products at a quicker rate Lean Manufacturing would encourage the business. In this paper we discuss about adopting lean strategies by manufacturing industries with the intention of eliminating wastes. Here we create mathematical models and a systematic methodology for choosing fitting lean strategies. The main objectives of this paper are to assess the leanness levels in manufacturing organizations. In the work we will evaluate both quantitative and subjective info factors. Different tools like MATLAB, Microsoft Access and Excel, Visual Basic, DST tool will be used for developing mathematical models and methodologies to overcome lean strategy selection and leanness assessment problems. As a result we try to limit the conceivable disarray of executing different lean strategies which can be utilized by any manufacturer for surveying leanness and distinguishing their leanness benchmark Accordingly, we suggest that manufacturing firms nearby different types of organizations (benefit firms comprehensive) ought to receive lean reasoning, introduction or culture to dispense with wasteful practices in this way clearing a path for best practices that can attract main concern for the organizations.
Image Processing System for Detecting and Recovering from Cotton Leaf Disease using The Android Application
Authors:   Assistant Professor, Department of CSE, Coimbatore Institute of Engineering and Technology, Coimbatore, Tamil Nadu, India., Deepa N.R. , Nagarajan Dr.N. ,   Principal, Coimbatore Institute of Engineering and Technology, Coimbatore, Tamil Nadu, India., Rajan Dr.D. Palanivel ,   Professor, Dept. of CSE, C M R Engineering College, Hyderabad, Telangana, India., Balamurali R. ,   Associate Professor, Chennai institute of technology, Chennai, India
Published: November 2019

A plant is the heart of an agricultural field and it improves source of energy as well as financial income. We discuss several types of leaf diseases in the plants and their identification process, symptoms of disease and remedy measures are explained. There is a huge source of plants, but due to the effect of environmental condition or as weather, climate change, many non-native diseases occur on plants and cause social, ecological and financial losses. Many of the farmers are unable to recognize new disease. So the farmer needs an expert person who recognizes the disease and symptoms appearing on the plants, this will increase the cost of farming. To reduce farming, we introduce Android Application which diagnosis and identify the type of disease and symptoms of disease on plant leaves. The Android application performs basic operations like color transformation, thresholding and edge detection. Our system work on such plant leaves which are affected by many diseases that is a virus, fungi, excess of nutrients and insects, etc.We use image processing to detect and classify these diseases. Implement image processing operation on an android mobile device. It identifies the actual type of disease and its symptoms. Finally, using SVM-GA classifier to diagnosis the cotton leaf disease. Using Android Application type of disease, symptoms, remedy measures and recovery suggestions are given at a very less time and low cost.
Fast Compression For Brain Mr Images With Proposed Algorithms
Authors:   Research scholar, Department of ECE, JNTUH, Ramanjaneyulu M. , Rao Dr A.V.Narasimha ,   Professor, Department of ECE, CBIT, Balraju Dr M. ,   Professor, Department of CSE, SVIT
Published: November 2019

Growth in information storage and retrieval significantly depend on images in various domains as the information representation and understand ability is significantly higher. The challenges in processing the complete information in image formats are obtained during storage and transmission. Also, the information extractions from images are significantly difficult compared to information extractions from text. Nonetheless, the incorporation of image analysis for disease detection involves gigantic amount of image data storage, which is a concern of financial drawbacks. Hence, the images used for the analysis must be compressed for storage. However, the complexity of image compression is critical as the information loss can cause significant difference in disease detections. Thus the traditional lossy image compression methods cannot be applied to this problem. Hence, this work addresses the optimal compression of the medical images without vital information loss and with ominously high compression ratio as the second objective of this work.
Design and Simulation of Isolated Forward Buck Converter Based Switched Mode Power Supply
Authors:   Dept. of EEE, B V Raju Institute of Technology, Narsapur, Medak, T.S, India, Reddy C. Subba Rami , Chandrababu P. ,   Dept. of EEE, B V Raju Institute of Technology, Narsapur, Medak, T.S, India., Rayudu Dr. K. ,   Dept. of EEE, B V Raju Institute of Technology, Narsapur, Medak, T.S, India., Murali A. ,   Dept. of EEE, B V Raju Institute of Technology, Narsapur, Medak, T.S, India .
Published: November 2019

In this paper, design and implementation of Switched mode power supply is analysed for various alterations of the supply voltage. Proper components were selected and its functionality was verified in NI-MULTISIM as a simulator. At first open loop configuration was designed, implemented and its functionality was examined in NI-MULTISIM. To examine the performance of the proposed system, PI controller is embedded using PWM based feedback network, and successfully verified in NI-MULTISIM.
Process Optimization and TAKT Time Reduction Through Structured Component Quality Planning (CQP) for Flawless Implementation
Authors:   Assistant Professor, SRM Institute of Science & Technology, Ramapuram, Chennai, Tmailnadu, India, Punniyamoorthy Dr.R. , Arulmoli Dr.R. ,   Assistant Professor, School of Management, SRM Institute of Science & Technology, Ramapuram, Chennai, India
Published: November 2019

In today’s business scenario strategic structuring of an organization with narrowly mapped Roles & Responsibilities helps to drive company’s performance. Every single human endeavor takes a shot at the guideline of complementarily. Nothing is conceivable aside from through co-activity and co-appointment. This is on the grounds that man is fundamentally a social creature. All creatures are supplied with necessities and the satisfaction of these requirements requires joint venture. In any case, in the undertaking to satisfy human needs, once in a while the parts of the undertaking happen to be on inverse sides and in this way there are difficulties in such co-employable ventures. Mankind has an impulse for assets and the sense for sharing isn't similarly solid. Subsequently it happens that public activity is enmeshed in unfriendly interests. Down the ages, the contradicted premiums have been extensively run based on physical quality which enables to command and the absence of it that prompts accommodation: the ownership of land and its absence, the entrance to capital-money sources, and the scholarly and functional capability to sort out and abuse capital from one viewpoint, and its absence, coming full circle in the enterprising premiums set against the premiums of the work force or labor. CQP results in flawless launch with desired parameters.
Determining Hidden Neurons with Variant Experiments in Multilayer Perception using Machine Learning Neural Networks
Authors:   Associate Professor of Computer Science, Erode Arts and Science College Erode -India., Sundaram Dr.K.Meenakshi , Karthigai S. ,   Research Scholars in Computer Science, Erode Arts And Science College Erode – India.
Published: November 2019

Neural network has broadly been employed in various fields for its efficacy and its superiority. Excellence results provided can be directly provided in various analyses. Besides the variant types of neural network, Multi layer perceptron plays a vital role for its adaptive learning ability. The network makes prediction based on learn of training set. Neural has three layers then the layers are the Input, Hidden and the Output Layers. There may be more than one hidden layer but there is one input and output layer. The hidden or the intermediate layer is considered as an engine of the complete network as it has the non linear activation function and they has a sensational domination in the finishing result . The amount of neurons in three layers determines the excellence of the network. The neuron in the input and the output layer is fixed as per the dataset while for the intermediate layer it is fixed by the user in random. Increase in neuron cause over-fitting while decrease cause under fitting and these assumptions have a great impact in the final outcome. This paper discusses the existing approaches for fixing the hidden neurons and proposes a method to fix the neurons in the intermediate layer and analyse the quality of the group. The proposed procedure has variant approaches to determine the hidden neuron and they are compared. The experiment is done in WEKA and the accuracy is checked with measures.
Understanding Trash Fish Value Chain: A Research on of Fish Oil & Fish Meal (fofm) Plant In Namakkal
Authors:   student of Amrita School of Business, Bangalore. Pursued MBA in operations Management., Kumar Ashwin
Published: November 2019

This paper attempts to understand the supply chain of so called discard or trash fish which has an important value creation by the fish meal and fish oil industry serving to aquaculture or animal feed firms. We understand and analyse the process at macro level as well as through a case study of one such plant in Namakkal .Our study, apart from bringing out the nuances of supply chain has also shown the growing importance of so called discard or trash fish.
Stabilization of Clayey Soil using Dunite Powder
Authors:   PG student, Department of Civil Engineering, Faculty of Engineering and Technology, SRMIST, Tamil Nadu, India, Nikhilraaj K. , Janani V. ,   Assistant Professor, Department of Civil Engineering, Faculty of Engineering and Technology, SRMIST, Tamil Nadu, India
Published: November 2019

Clayey soil is one of the problematical soil around the world which causes distress to the construction that is built over clayey soil. Construction on expansive soil for geotechnical application causes major problems due to its poor shear strength characteristics apart from this continuous variation in volume change. soil stabilization is the process for modifying the engineering properties of soil. It is one of the most standard techniques used for the improvement of poor soil and also to make cost-effective way by making the best use of the locally existing material. For quite a while, cement is the well-known binder in soil stabilization, but it emits a large amount of CO2, and energy depletion has started using some other materials or by-products to exchange cement for soil stabilization in full or in part. The growing volume of greenhouse gasses such as CO2 has also started explore into finding soil stabilization ecologically friendly resources. Dunite’s have a high amount of MgO, Al2O3, SiO2, and Fe2O3 could categorize this mineral as a soil stabilizing pozzolanic material. In present work experiment were conducted by addition of clayey soil with various percentage of Dunite powder (5%,10%,15%,20%) is added with the dry weight of soil. The unconfined compressive strength and California bearing ratio value is increased with the addition of Dunite power. The UCS value is increased from 198.88kPa to 247.29kPa over untreated soil as well as CBR value also increases from 4.61% for unstabilized soil to 8.86% for stabilized soil
An Experimental Development on Pervious Concrete by Partial Replacement of Flyash, GGBS, Silica Fumes with cement by adding Glass Fiber
Authors:   Department of Civil Engineering, Godavari Institute of Engineering & Technology, Rajahmundry, India., Vandana K , Naidu Divya Anusha ,   Assistant Professor, Department of Civil Engineering, Godavari Institute of Engineering & Technology, Rajahmundry, India., Venkateswarlu Dr. Dumpa ,   Professor, Department of Civil Engineering, Godavari Institute of Engineering & Technology, Rajahmundry, India.
Published: November 2019

Pervious Concrete for the pavements proves to be an effective and a long-term solution for the universal problem of abnormal decrease of ground water table. Pervious Concrete has a unique mix design and giving special properties to the concrete which makes the concrete porous, allowing water from precipitation and other sources to pass directly through , thereby reducing run off volume and increasing ground water table. In order to reduce the damage being caused to the environment by the use of cement , in pervious concrete , cement is replaced with pozzolanic materials such as flyash , GGBS , silica fume sand to increase strength and durability , glass fibers in stipulated ratio are added to the concrete mixture. In this study, the mix designs such as M30 and PC30 are considered. The fine aggregate is replaced with coarse aggregate by different ratios like 0% , 5% , 10% ,15%. by adding different pozzolanic materials like flyash, GGBS, silica fumes with glass fibers. To find the effectiveness of the use of pozzolancic and glass fibers, compressive strength and split tensile strength are conducted.
Communication-Less Frequency Support from Offshore Wind Farms Connected to HVdc via Diode Rectifiers
Authors: Saborío-Romano Oscar , Bidadfar Ali , Sakamuri Jayachandra Naidu , Zeni Lorenzo , Göksu Ömer , Cutululis Nicolaos Antonio
Published: November 2019

Before diode rectifier (DR) technology for connecting offshore wind
farms (OWFs) to HVdc is deployed, in-depth studies are needed to assess
the actual capabilities of DR-connected OWFs to contribute to the secure
operation of the networks linked to them. This study assesses the
capability of such an OWF to provide communication-less frequency
support (CLFS) to an onshore ac network. It is shown that the HVdc
link’s offshore terminal direct voltage can be estimated from
measurements at the OWF’s point of connection with the DR platform. Two
different methods are proposed for implementing CLFS in the OWF active
power controls. In Method 1, the estimated offshore terminal direct
voltage is used for estimating the onshore frequency deviation. In
Method 2, the actual offshore terminal direct voltage measurement is
used instead. Unique features of the provision of CLFS from OWFs
connected to HVdc via DRs are highlighted, and the dynamic and static
performance of the CLFS control scheme is compared to that of the
communication-based frequency support scheme. To assess the impact of
parameter estimation errors on the provision of CLFS, a parametric
sensitivity study is presented as well, and recommendations are given to
increase accuracy.

The manuscript has been accepted for publication in IEEE Transactions on Sustainable Energy.
The Influence Of Diet On Quality Nutrition Counselling Patients Of Type 2 Diabetes Mellitus In Poly Disease In The RSUD Dr.M. Yunus Bengkulu 2018
Authors: Pertiwi Rossy Tri , Yuliantin Emy , Wahyudi Anang
Published: November 2019

Nutritional counseling is one of the efforts of the medical nutrition therapy provided to improve the diet and lifestyle of patients of diabetes mellitus.One of the key factors in the treatment of the disease of diabetes mellitus is an improvement of the quality of the diet.The purpose of this research is to know the influence of diet on quality nutrition counselling patients of diabetes mellitus in poly disease in the RSUD dr.M. Yunus Bengkulu year 2018. This type of research is pre-circling with pre and posttest one gorup design.This research was carried out from April to may 2018. The location of the research on poly disease in the RSUD dr.M. Yunus Bengkulu. research Sample is selected by purposive sampling in accordance with the criteria of inclusion and ekslusi.The number of samples that is 20 respondents. The data are tested using the kolmogorov smirnov test, wilcoxon. The results of the research there is a meaningful influence obtained between nutritional counseling to the quality of the patient's diet diabetes mellitus type II in Poly disease in the RSUD dr.M. Yunus Bengkulu Year 2018 with (p = 0.006). Expected to further researchers can continue research on diabetes mellitus patients with more samples to make it more visible variations in the quality of diet of diabetes mellitus patients and researchers can then tried a more educational media varied to seek effectiveness in the media.
Numerical simulations of biofouling effects on the tidal turbine hydrodynamic
Authors: Rivier A. , Bennis A.-C. , Jean G. , Dauvin J.-C.
Published: November 2019

Biofouling by benthic organisms must be considered for tidal turbine operation and maintenance because it modifies hydrodynamics (drag and resistance) and could be detrimental to the turbine performance. We investigate vortices modification downstream a tidal turbine due to biofouling using numerical modeling. Firstly, 2D flow downstream a clean Darrieus vertical axis tidal turbine is simulated using a dynamic mesh for different tip speed ratio. Results agree the former studies. Simulations are very sensitive to turbulence modeling. To ensure an acceptable computing time, only LES and RANS are used. Secondly, an airfoil with barnacles is modeled in two dimensions for various fouling height and spacing with different flow incidences. Barnacle height has more influence on flow than the barnacle density. Then barnacles and mussels with various characteristics are fixed on blades. Vorticity fields are strongly changed by organism shapes. Mussels size has little impact on vorticity patterns. A few mussels could have stronger impact than a fully colonization. A 3D simulation is performed with a shape of barnacles from new in-situ measurements. Finally a colonized tidal turbine is simulated is modelled.
method for the spatial targeting of tidal stream energy policies
Authors: Vazquez A. , Astariz S. , Iglesias G.
Published: November 2019

Policy making is called to play a decisive role in the commercialisation of tidal stream energy projects. For they are site-specific, spatial targeting of policies is needed, so that tidal stream regulations (financial supporting mechanisms, consenting procedures, etc.) could be concentrated to sites where they can achieve the greatest benefits. With this in view, the aim of this paper is: (i) to develop a new method to delimit the most suitable (target) areas for tidal stream energy policy intervention within a coastal area of interest, and (ii) to apply it to the Bristol Channel and Severn Estuary (UK). The method includes spatial numerical analysis by means of a Matlab-based code coupled with a Navier-Stokes solver. The programme works in steps, in which different constraints are imposed with a view to carry out a zoning process. As a result of this zoning process, four hotspots are selected, for which a set of policy interventions is proposed. This includes the specific levels of subsidisation for closing the grid parity gap of potential projects in each area. The method can be viewed as a supporting decision mechanism for spatially targeted policy-making and management of tidal stream energy across the Bristol Channel and Severn Estuary.
Classification systems for wave energy resources and WEC technologies
Authors: Neary V. S. , Coe R. G. , Cruz J. , Haas K. , Bacelli G. , Debruyne Y. , Ahn S. , Nevarez V.
Published: November 2019

Classification systems for wave energy resources and wave energy converter (WEC) technologies could provide similar benefits to those for the wind energy industry: resource classification facilitating reconnaissance studies and project planning at both regional and national scales; and WEC classification streamlining and reducing costs of WEC device design and manufacturing. In the present study, a classification system for U.S. wave resources is used to investigate the feasibility of WEC classification. Wave spectra inputs from three wave energy resource classes delineated in this system are used to derive distributions of optimized WEC design scaling factors, as well as WEC design responses. Preliminary results indicate that a single standard WEC design class could serve within a given resource class, and corresponding regional wave climate, due to distinct wave energy distributions and concentrations of energy within partitioned period bands for each resource class. The WEC response to extreme loads was found to vary considerably within the most energetic of the resource classes examined, suggesting the need for these standard design classes to meet structural design requirements based on the upper limits of load response within a given resource class. However, the observed load metric variation is lower than the inter-region resource variations.
Development of a wave-current numerical model using Stokes 2nd Order Theory
Authors: Lloyd Catherine , O'Doherty Tim , Mason-Jones Allan
Published: November 2019

The optimisation of a Numerical Wave Tank is proposed to accurately model the sub surface conditions generated by regular waves superimposed on a uniform current velocity. ANSYS CFX 18.0 was used to develop a homogenous multiphase model with volume fractions to define the different phase regions. By applying CFX Expression Language at the inlet of the model, Stokes 2nd Order Theory was used to define the upstream wave and current characteristics. Horizontal and vertical velocity components, as well as surface elevation of the numerical model were compared against theoretical and experimental wave data for 3 different wave characteristics in 2 different water depths. The comparison highlighted the numerical homogeneity between the theoretical and experimental data. Therefore, this study has shown that the modelling procedure used can accurately replicate experimental testing facility flow conditions, providing a potential substitute to experimental flume or tank testing.
PENGARUH PENERAPAN PENDEKATAN OPEN-ENDED DALAM PEMBELAJARAN MATEMATIKA TERHADAP PENINGKATAN KEMAMPUAN BERPIKIR KREATIF MATEMATIK SISWA KELAS VIII SMP NEGERI 1 KONAWE SELATAN
Authors: Bahar Rahmat , Anggo Mustamin , La Arapu La Arapu
Published: November 2019

Penelitian ini dilatarbelakangi rendahnya kemampuan berpikir kreatif matematik siswa dan sulitnya guru menggunakan pendekatan pembelajaran yang tepat untuk meningkatkan kemampuan berpikir kreatif matematik siswa. Pengambilan sampel dilakukan dengan teknik purposive sampling. Teknik pengumpulan data dilakukan dengan lembar observasi dan tes kemampuan berpikir kreatif matematik berbentuk uraian. Berdasarkan hasil analisis data dan pembahasan diperoleh kesimpulan :  (1) ratarata N-gain kemampuan berpikir kreatif matematik siswa yang diajar dengan pendekatan open-ended sebesar 0,2138. (2) rata-rata N-gain kemampuan berpikir kreatif matematik siswa yang diajar dengan pembelajaran konvensional sebesar 0,0809. (3) tingkat keterlaksanaan proses pembelajaran openended selama 4 kali pertemuan secara berturut turut adalah 75%, 87,5%, 93,75% dan 100%.  (4) Peningkatan kemampuan berpikir kreatif matematik siswa yang diajar dengan menggunakan pendekatan pembelajaran open-ended lebih baik secara signifikan daripada peningkatan kemampuan berpikir kreatif matematik siswa yang diajar dengan menggunakan pendekatan pembelajaran konvensional pada siswa di kelas VIII SMP Negeri 1 Konawe Selatan.
ANALISIS KESALAHAN DALAM MENYELESAIKAN SOAL-SOAL BENTUK PERSAMAAN DAN PERTIDAKSAMAAN LINEAR SATU VARIABEL PADA SISWA KELAS VII SMP NEGERI 2 KENDARI
Authors: Karlina Ays , La Masi La Masi , Kodirun Kodirun
Published: November 2019

Penelitian ini bertujuan untuk mengetahui kesalahan yang dilakukan siswa dalam menyelesikan soal persamaan dan pertidaksamaan linear satu variabel dan Untuk mengetahui faktor penyebab kesalahan siswa dalam menyelesikan soal persamaan dan pertidaksamaan linear satu variabel. Penelitian ini adalah jenis penelitian kualitatif dan metode yang digunakan adalah metode deskriptif kualitatif. Penelitian ini dilakukan di SMP Negeri 2 Kendari tahun ajaran 2017/2018 pada kelas VIIA. Hasil yang diperoleh dalam penelitian ini: (1) Jenis kesalahan yang dilakukan siswa meliputi kesalahan fakta, konsep, prinsip, dan operasi, dan (2) Faktor penyebab terjadinya kesalahan adalah siswa kurang teliti dalam membaca soal, siswa tidak paham maksud dari soal yang diberikan sehingga tidak tahu bagaimana cara menjawab soal tersebut, siswa keliru dalam menuliskan satuan, siswa masih kurang paham bagaimana cara menyamakan kedua ruas, siswa tidak tahu bagaimana cara mengubah soal menjadi model matematika pada soal cerita.
PENGARUH PENERAPAN MODEL PEMBELAJARAN BERBASIS MASALAH TERHADAP KEMAMPUAN BERPIKIR KREATIF MATEMATIS SISWA KELAS VIII SMP NEGERI 4 KENDARI
Authors: Astuti S. Sitti Nur , Sudia Muhammad , Rahim Utu
Published: November 2019

Penelitian ini dilatar belakangi oleh rendahnya kemampuan berpikir kreatif matematis siswa. Penelitian ini merupakan penelitian eksperimen semu One Group Pretest-Posttest Design. Populasi dalam penelitian ini adalah seluruh siswa kelas VIII SMP Negeri 4 Kendari yang terdiri dari 11 kelas paralel. Teknik pengambilan sampel dalam penelitian ini dilakukan secara simple random sampling. Data diperoleh menggunakan lembar observasi dan  instrumen berupa tes kemampuan berpikir kreatif matematis. Berdasarkan hasil analisis data dan pembahasan diperoleh kesimpulan: (1) kemampuan berpikir kreatif matematis siswa sebelum diajar dengan model pembelajaran berbasis masalah memiliki nilai rata – rata 39,01. Varians dan std. deviasi masing-masing sebesar 310,13 dan 17,61; (2) kemampuan berpikir kreatif matematis siswa setelah diajar dengan model pembelajaran berbasis masalah memiliki nilai rata – rata 48,86. Varians dan std. deviasi masing-masing sebesar 533,33 dan 23,09; (3) model pembelajaran berbasis masalah memberikan pengaruh signifikan terhadap kemampuan berpikir kreatif matematis siswa kelas VIII SMP Negeri 4 Kendari.
PENGARUH MODEL PEMBELAJARAN INTEGRATIF TERHADAP KOMUNIKASI MATEMATIS SISWA KELAS IX SMP NEGERI 8 KENDARI
Authors: Hamlin Randita Cahyani , Salam Mohamad , Kodirun Kodirun
Published: November 2019

Penelitian ini bertujuan untuk mengetahui: 1) deskripsi kemampuan komunikasi matematis siswa kelas IX SMP Negeri 8 Kendari yang diajar dengan model pembelajaran integratif, 2) deskripsi kemampuan komunikasi matematis siswa kelas IX SMP Negeri 8 Kendari yang diajar dengan model pembelajran konvensional, dan 3) perbedaan pengaruh model pembelajaran integratif dan model pembelajran konvensional pada kemampuan komunikasi matematis siswa kelas IX SMP Negeri 8 Kendari. Populasi dalam penelitian ini adalah seluruh siswa kelas IX SMP Negeri 8 Kendari. Teknik pengambilan sampel dalam penelitian ini menggun akan teknik Purposive Sampling. Teknik pengumpulan data dilakukan dengan pemberian tes kemampuan komunikasi matematis. Teknik analisis data menggunakan statistik deskriptif dan statistik inferensial. Hasil penelitian ini menunjukkan bahwa: kemampuan komunikasi matematis siswa yang diajar dengan model pembelajaran integratif diperoleh nilai terendah 35, nilai tertinggi 90, mean 66,67., median 65,00, modus 65, standar deviasi 13,814., dan varians 190,833.  Kemampuan komunikasi matematis siswa yang diajar dengan model  pembelajaran konvensional diperoleh nilai terendah 30, nilai tertinggi 80, mean 54,74., median 60,00, modus 70, standar deviasi 17,117 dan varians 292,983.
PENGARUH MOTIVASI BELAJAR TERHADAP HASIL BELAJAR MATEMATIKA SISWA KELAS X MA DARUL MUKHLISIN KENDARI
Authors: Asniyati Asniyati , Lambertus Lambertus , La Arapu La Arapu
Published: November 2019

Penelitian ini dilatarbelakangi rendahnya hasil belajar matematika siswa. Penelitian ini merupakan penelitian ex post facto. Populasi dalam penelitian adalah seluruh siswa kelas X MA Darul Mukhlisin yang terdiri 3 kelas yaitu kelas Xputra yang berjumlah 25 orang, kelas Xputri 1 yang berjumlah 16 orang dan kelas Xputri 2 yang berjumlah 18 orang dengan keseluruhannya berjumlah 59 siswa. Teknik pengumpulan data dilakukan dengan cara (1) angket, (2) Hasil belajar diambil dari hasil ulangan semester; (3) Dokumentasi. Instrument yang di gunakan dalam penelitian ini adalah berupa angket. Teknik analisis data  menggunakan statistik deskriptif dan statistik inferensial. Hasil analisis data dan  pembahasan diperoleh kesimpulan: Ada pengaruh yang positif antara motivasi belajar terhadap hasil belajar matematika siswa kelas X MA Darul Mukhlisin Kendari yang dintunjukkan dengan persamaan regresi Y = 40,661 + 0,360X. Hal ini menunjukkan bahwa motivasi belajar siswa mengalami perubahan  dalam satu satuan maka hasil belajar matematika siswa akan mengalami peningkatan sebesar 0,360.
PENGARUH PENDEKATAN REALISTIC MATHEMATICS EDUCATION TERHADAP KEMAMPUAN PEMAHAMAN MATEMATIS SISWA SMP NEGERI 11 KENDARI
Authors: Citra Sandri Yulia , Anggo Mustamin , Kadir Kadir
Published: November 2019

Penelitian ini dilatarbelakangi oleh rendahnya kemampuan pemahaman matematis siswa. Populasi dalam penelitian ini adalah seluruh siswa kelas VII SMP Negeri 11 Kendari yang tersebar di 4 kelas paralel dengan jumlah 101 siswa. Teknik pengambilan sampel dalam penelitian dilakukan secara purposive sampling. Teknik pengumpulan data dilakukan dengan pemberian tes kemampuan pemahaman berbentuk tes uraian. Berdasarkan hasil analisis data dan pembahasan diperoleh kesimpulan: (1) kemampuan pemahaman matematis siswa yang diajar dengan pendekatan Realistic Mathematics Education (RME) pada materi bentuk aljabar memiliki nilai minimum 62.50; nilai maksimum 91.67; nilai rata-rata 75.50; standar deviasi 8.45; varians 71.35; median 75.00 dan  modus 75.00, (2) kemampuan pemahaman matematis siswa yang diajar dengan pembelajaran konvesional pada materi bentuk aljabar memiliki nilai minimum 37.50; nilai maksimum 79.17; nilai rata-rata 62.00; standar deviasi 10.85; varians 117.65; median 62.50; serta  modus 62.50 dan 70.83, (3) terdapat  pengaruh yang signifikan pendekatan Realistic Mathematics Education (RME) terhadap kemampuan pemahaman matematis siswa.
PENGARUH MODEL PEMBELAJARAN KOOPERATIF TIPE THINK-TALK-WRITE (TTW) TERHADAP KEMAMPUAN MENULIS MATEMATIK SISWA KELAS VII SMP NEGERI 2 SOROPIA
Authors: Bahriyanti Bahriyanti , Kodirun Kodirun , Ikman Ikman
Published: November 2019

Penelitian ini dilatar-belakangi rendahnya kemampuan menulis matematik siswa.Populasi dalam penelitian ini adalah seluruh siswa kelas VII SMP Negeri 2 Soropia.Teknik pengambilan sampel dalam penelitian ini menggunakan teknik quota sampling.Teknik pengumpulan data menggunakan metode observasi dan tes (uraian). Berdasarkan hasil analisis data dan pembahasan diperoleh kesimpulan: (1) Kemampuan menulis matematik siswa sebelum pembelajaran menggunakan model pembelajaran kooperatif tipe TTW pada materi segiempat nilai rata-rata kelas sebesar 41,89 atau tergolong rendah. (2) Rata-rata persentase pelaksanaan model pembelajaran kooperatif tipe TTW oleh guru dari pertemuan pertama sampai pertemuan terakhir mengalami peningkatan yaitu dari 60,52% menjadi 92,10%. Sedangkan rata-rata persentase keaktifan siswa pada pelaksanaan model pembelajaran kooperatif tipe TTW dari pertemeuan pertama sampai pertemuan terakhir juga mengalami peningkatan yaitu dari 73,43% menjadi 93,75%. Kemampuan menulis matematik siswa kelas VII SMP Negeri 2 Soropia setelah menggunakan model pembelajaran kooperatif tipe TTW nilai rata-rata kelas sebesar 76,56 atau tergolong tinggi. (3) Kemampuan menulis matematik siswa secara signifikan lebih baik, setelah  menggunakan model pembelajaran kooperatif tipe TTW.
KUALITAS TES SUMATIF MATA PELAJARAN MATEMATIKA KELAS VIII SEMESTER GENAP SMP NEGERI 20 KENDARI TAHUN PEMBELAJARAN 2016/2017
Authors: Supriadi Wa Ode Sariasi , Rahim Utu , Zamsir Zamsir
Published: November 2019

Penelitian ini bertujuan: (1) Untuk mengetahui tingkat kesukaran setiap butir soal tes, (2) Untuk mengetahui daya pembeda setiap butir soal tes, (3) Untuk mengetahui validitas setiap butir soal tes, (4) Untuk mengetahui pengecoh (distractor) pada setiap butir soal tes berfungsi atau tidak berfungsi, (5) Untuk mengetahui reliabilitas tes, (6) Untuk mengetahui kesalahan baku pengukuran (KBP) tes. Dari pengolahan data diperoleh kesimpulan: (1) Tingkat kesukaran soal pilihan ganda dan soal essay belum termasuk baik, (2) Daya pembeda soal pilihan ganda dan soal essay belum menpunyai daya pembeda baik, (3) Validitas soal pilihan ganda dan soal essay sudah mempunyai validitas baik, (4) Distractor (pengecoh) sudah berfungsi, (5) Besarnya indeks reliabilitas soal pilihan ganda sebesar 0,541 termasuk memiliki reliabilitas yang sedang. Sedangkan soal essay mempunyai indeks reliabilitas sebesar 0,645 termasuk memiliki reliabilitas sedang, (6) Besarnya kesalahan baku pengukuran (KBP) soal pilihan ganda sebesar 2,255. Sedangkan soal essay mempunyai kesalahan baku pengukuran sebesar 7,686.
KUALITAS TES SUMATIF MATA PELAJARAN MATEMATIKA KELAS VIII SMP NEGERI 5 KENDARI TAHUN AJARAN 2016/2017
Authors: Yusdiana Yusdiana , Zamsir Zamsir , Kodirun Kodirun
Published: November 2019

Penelitian ini bertujuan untuk mengetahui: (1) Tingkat kesukaran  setiap butir soal, (2) Daya pembeda setiap butir soal, (3) efektifitas pengecoh (distractor), (4) Validitas setiap butir soal, (5) seberapa besar reliabilitas soal , (6) seberapa besar kesalahan baku pengukuran. Berdasarkan hasil analisis data diperoleh kesimpulan :(1) Tingkat kesukaran soal pilihan ganda dan soal uraian belum dinyatakan  baik, (2) Daya pembeda soal pilihan ganda dan uraian dinyatatakan berdaya pembeda baik, (3) Keefektifan pengecoh (distractor) soal pilihan ganda dan uraian dinyatakan sebagai efektif, (4) Validitas tes sumatif soal pilihan ganda dan uraian dinyatakan bervaliditas baik, (5) Besarnya indeks reliabilitas soal pilihan ganda sebesar 0,515 dinyatakan kategori sedang. Sedangkan reliabilitas soal uraian sebesar 0,713 dinyatakan kategori tinggi, (6) Besarnya indeks kesalahan baku pengukuran soal pilihan ganda sebesar 1,957. Sedangkan kesalahan baku pengukuran soal uraian sebesar 8,763. Berdasarkan indikator dari tingkat kesukaran, daya pembeda, pengecoh, validitas, reliabilitas tes sumatif dinyatakan belum berkualitas.
MENINGKATKAN HASIL BELAJAR MATEMATIKASISWAMELALUI MODEL PEMBELAJARAN KOOPERATIF TIPE TEAMS GAMES TOURNAMENT (TGT) PADA KELAS VIIIA SMP NEGERI 1 LAKUDO
Authors: Ena Asrina , Ikman Ikman , Kodirun Kodirun
Published: November 2019

Penelitian Tindakan Kelas ini dilaksanakan dalam dua siklus, setiap siklus ada dua kali pertemuan. Subjek penelitian adalah siswa kelas VIII-A dengan jumlah 20 orang. Penelitian ini merupakan Penerapan model pembelajaran kooperatif tipe TGTdi kelas VIII-A SMP Negeri 1 Lakudo. Hal ini ditunjukkan dengan peningkatan dari keterlaksanaan pembelajaran dan hasil belajar matematika. Untuk keterlaksanaan pembelajaran, yaitu keterlaksanaan pembelajaran dari guru dan siswa. Keterlaksanaan pembelajaran untuk siklus I guru mencapai 94,74% dan siswa mencapai 67,11%, siklus II mencapai 94,74% oleh guru dan 72,37% oleh siswa. Untuk hasil belajar matematika,dari 20 orang siswa hanya 9 siswa yang mencapai KKM, meningkat pada hasil tes siklus I menjadi 11 orang siswa dan meningkat lagi pada siklus II menjadi 16 orang siswa. Kesimpulan yang diperoleh dari penelitian adalah hasil belajar matematika siswa kelas VIII-A SMP Negeri 1 Lakudo pada pokok bahasan Operasi Aljabar dapat ditingkatkan melalui Model Pembelajaran Kooperatif Tipe TGT (Teams Games Tournament).
PENGARUH MODEL PEMBELAJARAN TERHADAP KEMAMPUAN BERPIKIR KRITIS DITINJAU DARI POTENSI AKADEMIK PESERTA DIDIK KELAS XI SMA NEGERI 1 KENDARI
Authors: Pratiwi Hartina , Samparadja Hafiludin , La Arapu La Arapu
Published: November 2019

Penelitian ini dilatar belakangi oleh rendahnya kemampuan berpikir kritis matematis peserta didik. Populasi dalam penelitian ini adalah seluruh peserta didik kelas XI MIPA SMA Negeri 1 Kendari yang terdiri dari 9 kelas paralel berjumlah 324. Pengambilan sampel menggunakan teknik clusterd random sampling sehingga diperoleh XI MIPA 5 sebagai kelas eksperimen dan kelas XI MIPA 6 sebagai kelas kontrol. Teknik pengumpulan data menggunakan tes potensi akademik dan tes kemampuan berpikir kritis. Berdasarkan hasil analisis data dan pembahasan diperoleh kesimpulan: (1) kemampuan berpikir kritis peserta didik setelah diberi perlakuan model pembelajaran dengan potensi akademik memiliki rerata, simpangan baku, dan skewness yang berbeda antar tiap kelompok; (2) terdapat perbedaan rerata yang signifikan dari faktor model pembelajaran terhadap kemampuan berpikir kritis; (3) terdapat perbedaan kemampuan berpikir kritis antara peserta didik yang mempunyai potensi akademik tinggi, sedang, dan rendah; (4) tidak terdapat interaksi antara model pembelajaran matematika dengan potensi akademik peserta didik terhadap kemampuan berpikir kritis.
PENGARUH MODEL PEMBELAJARAN KOOPERATIF TIPE THINK PAIR SHARE TERHADAP HASIL BELAJAR MATEMATIKA SISWA KELAS VIII SMP NEGERI 1 PASARWAJO
Authors: Muthmainnah Muthmainnah , Suhar Suhar , Samparadja Hafiludin
Published: November 2019

Penelitian ini merupakan penelitian eksperimen semu dengan rancangan posttest only control design. Populasi dalam penelitian ini adalah seluruh siswa kelas VIII SMP Negeri 1 Pasarwajo yang terdiri dari 8 kelas paralel berjumlah 221 siswa. Penentuan sampel dilakukan dengan teknik purposive sampling. Sampel penelitian ini terdiri dari 48 siswa, yang terbagi atas dua kelompok belajar, yaitu kelas VIII B sebagai kelas eksperimen berjumlah 24 siswa dan kelas VIII E sebagai kelas kontrol berjumlah 24 siswa.. Hasil penelitian menunjukkan bahwa: (1) persentase keberhasilan pengelolaan pembelajaran oleh guru pada tujuh pertemuan berturut-turut adalah 99%,95%,98%,99%,98%,95% dan 94%; (2) rata-rata hasil belajar matematika siswa yang diajar dengan model pembelajaran kooperatif tipe Think Pair Share adalah 56,66; (3)  rata-rata hasil belajar matematika siswa yang diajar dengan model pembelajaran langsung adalah 35,05; (4) Terdapat pengaruh yang signifikan penggunaan model pembelajaran kooperatif tipe Think Pair Share terhadap hasil belajar matematika.