Automatic Discrimination between Biomedical-Engineering and Clinical-Medicine Papers Based on Decision-Tree Algorithms: How Does the Term Usage Differ?
Abstract— Biomedical engineering (BM) is a successful example of integrated research. This research area is concerned with solving problems in clinical-medicine (CM) research using techniques such as information engineering. In this research field, novice investigators sometimes have difficulty in searching for and retrieving BM papers, because both BM and CM research papers contain common terms, such as disease names, so a novice researcher cannot retrieve only BM papers from the search results. Thus, this research proposes a decision-tree and random-forest-based method to automatically discriminate between BM and CM papers, and reveals a difference in term usage between BM and CM papers. The discrimination between BM and CM papers was examined by collecting papers containing five common terms: obstructive sleep apnea syndrome (OSAS), T-wave alternans (TWA), late potential (LP), epilepsy (EPY), and event-related potential (ERP). The gathered BM and CM papers were converted into document-term (D-T) matrices, and were discriminated with the decision-tree or random-forest algorithm. Results showed that the decision tree discriminated them with approximately 80% averaged accuracy and sensitivity and approximately 70% specificity, and the random forest discriminated them with approximately 90% averaged accuracy, sensitivity, and specificity. In addition, it was revealed that the terms “signal”, “detection”, “method”, “based”, “patient”, and “with” were effective for discriminating between BM and CM papers.
Keywords— Biomedical engineering, clinical medicine, discrimination, decision tree, random forest
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Multipath Parameter Estimation for Synthetic Aperture Sonar using the SAGE Algorithm
Abstract— Operating synthetic aperture sonar (SAS) in shallow water environment can be challenging owing to multiply reflected signals interfering with the direct signal. We use the space-alternating generalized expectation maximization (SAGE) algorithm to estimate the multipath signal parameters. Specifically, we estimate the relative time delay of surface reflected signal to direct signal and the directions of arrivals of each signal. Using these estimates, we extract only the direct arrival signal which is used for SAS signal processing. Compared to using an adaptive beam-former, SAS system using the proposed algorithm shows better performance in terms of reducing multipath interference effects.
Keywords—Multipath, parameter estimation, SAGE algorithm, synthetic aperture sonar.
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Experimental Investigation into the Resistance Components of Displacement Trimaran at Various Lateral Spacings
Abstract— An investigation into the breakdown of resistance components of a displacement trimaran was carried out experimentally using a towing tank. A trimaran model consisting of one main-hull with length of 1.2m and two symmetric side-hulls with length of 0.5m was tested at various configurations between Froude numbers of 0.15 and 0.27 at various lateral spacing (S/L) between 0.2 and 0.5. The experimental investigation was conducted using a towing tank belongs to Institute of Technology Sepuluh Nopember (ITS) at Surabaya. Individual test on each part of trimaran hull was also carried out in order to clarify the interference phenomena between the hulls more clearly. Overall results indicated that the wider the hull separation, the smaller the interference between the hulls. The widest separation (S/L=0.5) indicated that there is nointerference between the hulls and this is in good agremeent with individual test of each hull when interference is neglected.
Keywords— trimaran, resistance, tank test, CFD, separation, interference
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Study on Strength Behaviour of Soil Using Geotextile
Abstract— Geosynthetics have become well established construction materials for geotechnical and environmental application in most parts of the world. Because they constitute manufactured materials, new products and applications are developed on a routine basis to provide solution to routine and critical problems alike. This paper focuses on recent advances on geosynthetics products such as geotextiles, applications and design methodologies for reinforced soil and environmental protection works. Geotextiles have been successfully used for reinforcement of soils to improve the bearing capacity. Laboratory California bearing ratio (CBR) tests were performed to investigate the load-penetration behavior of reinforced granular soils with geotextile. Samples of granular soil with different grading are selected and tested without reinforcement. Then by placing geotextile at certain depth within sample height in one and two layers, the effects of the number of geotextile on the increase in bearing capacity of reinforced granular soils and grading on performance of geotextile is discussed. The result of these tests shows that, bearing ratio of reinforced granular soils with geotextile increases. And also done the direct shear test for determine the consolidated-drained shear strength of a sandy to silty soil.
Keywords— Geosnthetics, Geotextiles, CBR, Granular soils, Direct shear test
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Outstanding Issues in Mineral Resource Economics: The Case of Indonesia
Abstract— Mining industry in Indonesia has proven to give good results as a source of state revenue. However, the development of the mining sector in order to create people welfare is facing various problems. Critical issues as reviewed in this article related to mineral and energy resources economics are divided into eight sections, namely economic modeling, regional and sub-regional development, regional autonomy, contract of work, management of resources and modern management, mineral added value, policies, and outlooks. Problems associated with those issues should be solved immediately so that Indonesia can determine the direction of development of mineral and energy resources in the future. In order to solve these problems, there must be management and supervision as well as good cooperation between stakeholders those are government, mining companies, and the society so that mining sector could perform its function toward Indonesia incorporated in achieving sustainable development. Methodology applied in this study is based on description and analysis related to the author’s experiences and professionals.
Keywords— Outstanding issues, mineral resource economics, mining
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A Fire Fly Optimization Based Video Object Co-Segmentation
Abstract- Video object co-segmentation is a method of segmenting and discovering primary object from multiple videos without human annotation. In this paper, we are presenting a firefly based video object co-segmentation method. Here we are using SIFT flow method for object segmentation and firefly algorithm for object optimization. SIFT flow descriptor discovers the corresponding object using inter-frame motion flow from optical flow. But it will not capture the optimal motion of inter-frame. So we are using Firefly approach in addition to SIFT flow. Firefly approach captures optimal inter-frame motion based on the velocity updation and position of the particle for better results. SIFT flow produces segmented primary objects over the entire video data set. Finally we combine this segmented object to get high quality original videos. The results that we obtained from conducting the experiment show that the Firefly based co-segmentation method achieves high accuracy compared with the existing co-segmentation method.
Keywords— Video object co-segmentation, energy optimization, object refinement, spatio-temporal scale-invariant feature transform (SIFT) flow.
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Software based reconfiguration for the Cascaded H-Bridge multilevel converter
Abstract— Multilevel converters have been widely accepted in medium and high power applications, their general function is to synthesize a desired AC voltage from several levels of DC voltages. For more levels, the total harmonic distortion of the output voltage, decreases, has better waveform quality, low stresses on switching devices and better performance. This paper presents the reconfiguration based software for a cascaded H-bridge multilevel converter of five levels used as active shunt filter, to obtain seven levels. The transformation of the model in terms of the sum and the difference of the square of the capacitor voltages is crucial for our developments. The reconfiguration depends on the difference of the capacitor voltages, the imbalance between each H-bridge voltage and the commutation frequency.
Keywords— adaptive law, active shunt filter, multilevel converter, pulse width modulation, total harmonic distortion, software based reconfiguration.
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Location Information Sharing on Mobile Online Social Networks Using Facial Recognition Method
Abstract— Online social networks allows the users to share their data with their friends. With the advent of mobile computing, traditional social networks have gradually adapted to a fresh paradigms called mobile online social networks. The Mobile online social networks (mOSNs) had become more popular, and compared with traditional OSNs, mOSNs provide the location-based services, which raise significant privacy concerns. Location sharing is a fundamental component of mOSN, but users may be hesitant to share their location and extract sensitive information due to the privacy concern. The mOSNs collect a large amount of location information over time, and the users’ location privacy is compromised if their location information is used by other third party adversaries controlling the mOSNs. While the location-based features make mOSNs popular, they also raise significant privacy concerns. The threat is even more serious when it comes to mOSNs, because user’s locations are being correlated with their profiles. Here, the system achieves social network privacy and location privacy. The system cannot be linked to the same user. The identity of each user in the query set will be replaced with a pseudo identity before sending the query to the location servers. It improves the privacy of users in mobile online social networks. The proposed system provides a face recognition for the privacy-preserving of the users. The given image will be encrypted to a key format and this key will uniquely identify the user. The system uses private photos in a privacy-preserving manner for each user.
Keywords— Facial recognition, location based services, location privacy, location sharing, mobile Online Social Networks.
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Precision geoid determination by Fast Fourier Transform solutions of the Kernel functions of the gridded gravity anomalies and distances in the Oman Gulf
Abstract— The geoid is the fundamental surface that defines the figure of the Earth. It is approximated by mean sea level and undulates due to spatial variations in the Earth’s gravity field.
The solution, that considers a global geopotential model (GM), gravity anomalies (Δg), and topographic effects, is used to determine the gravimetric geoid undulation. The EGM96 global geopotential model to degree 360 was used in order to determine the long wavelength effect of the geoid surface. By applying the remove-restore technique the geoid undulations were determined by combining a geopotential model, mean free-air gravity anomalies and height in a Digital Elevation Model (DEM). The long wavelength effects from a geopotential model and short wavelength effects from the topography are mathematically removed from the observed gravity anomalies in this technique. The Stoke’s formulation of the residual parts of the gravity anomalies yields the medium wavelength of the geoid height. The geoidal height of a point is determined by restoring the long and short wavelength components. If the area for determining local geoid is chosen small and is considered as planar, it can be divided into M by N grids while distances Δx and Δy are the grid intervals. The geoid undulations can be calculated from Fast Fourier Transform (FFT) solutions of the Kernel functions of the gridded gravity anomalies and distances.
This paper deals with the precision geoid determination by a gravimetric solution in around the Oman Gulf. The size of the study area is about 600 km by 660 km. A number of data files were compiled for this work, containing now more than 88000 point gravity data on ocean areas. The EGM96 global geopotential model to degree 360 was used in order to determine the long wavelength effect of the geoid surface. By applying the remove-restore technique the geoid undulations were determined by combining a geopotential model, mean free-air gravity anomalies.
Keywords— Gravity, Geoid, Geopotential Model, FFT, Remove-restore technique Stokes-Kernel.
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Proposal of a full color automatic natural image region segmentation method with no limitation to the number of regions and the complexity of the area
Abstract—In this paper, a full color natural image region segmentation method with no limitation to the number of regions and the complexity of the area was proposed, and the effectiveness was confirmed by some natural image pictures.
Automatic natural image region segmentation continues to be in high demand for a long time and this difficulty mainly depend on the large difference between the region division by the human perception and the result of the calculation theory approaches based on the color extraction. Also, the many region segmentation algorithms could work in the case of binary image. The proposed the mathematical procedure that (1) always area segmentation can be realized by only two times scan lines even an image took complex shapes, (2) it does not depend on the number of regions and (3) color and brightness evaluation functions are introduced. Experimental result shows that the proposed method can divide many complex shape areas which the number of regions is uncertain and our method can divide many objects with gradation patterns correctly in the natural full color image. Our method will reduce the complexity of the problem of recognition especially for the complexity growing by increasing the number of objects. It will play basic role for many image processing study fields.
Keywords—Two times scan line algorithm, full color natural image region segmentation, clustering algorithm, nolimitation of segmentation areas.
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Effect of Pulsed and Non-pulsed current on welding characteristics of AA6061 Aluminium alloy welded joints using Tig welding
Abstract— In this experimental work tests were conducted on the weldments of AA6061 aluminium alloy using TIG/GTAW with pulsed current at constant frequency of 6HZ and non-pulsed current on 3mm thick sheets. Destructive and non-destructive tests like Hardness test, tensile test, microstructure, radiography and liquid penetrate tests conducted, evaluated and compared with pulsed and non-pulsed current welding. Aim of the experimental work is to see the effect of pulsed current on characteristics of weldments. The experimental results pertaining to different welding parameters for the above material using pulsed and non-pulsed current GTAW are discussed and compared.
Keywords— AA6061, Tungsten Inert Gas Welding/Gas Tungsten Arc Welding, Pulsed current, Non-pulsed current, Heat Affected Zone
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Mold Flow Analysis on Fan Part using Plastic advisor
Abstract— Injection molding is the most widely used method for the production of intricate shape plastic parts with good dimensional accuracy. For plastic components manufacturing process used is Injection molding. While doing this manufacturing process we have to face some problems in filling process, clamping, cooling, and amount of material to inject into the cavity area. Due to the above problems there is wastage of material, time, poor component quality. Optimization of cycle time in injection molding plays a vital role in manufacturing of plastic parts to improve the productivity of the process. At the same time it should not affect the quality of the final product. The process parameters like cooling time, filling time are optimized in which it contributes more in the cycle time by changing the mold temperature, melt temperature and injection pressure. We can optimize Injection molding manufacturing process.
Keywords— Mold Flow, Injection Molding, Melt Temperature, Mold Temperature, Injection Pressure
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Mathematical Modeling of Phase Transformations and Residual Stress in A Thermomechanical Heat Treatment in AISI 1045 Steel By FEM
Abstract— Materials with high mechanical characteristics are ideal for many applications primarily in the automotive industry like the TRIP (Transformation Induced Plasticity) steel, but its high cost to determine their properties limit their study, for this reason the mathematical and computational modeling have emerged as a possibility of analysis and study of the properties of the material. One of these techniques is the micromodeling mathematical analysis using a representative elementary volume (RVE), used for the determination of residual stresses through programmed into the APDL of ANSYS ® software. Previous research has taken commercial DP steels (Dual Phase) or steels with high percentage of alloying elements, there is no evidence of studies in medium carbon steels treated from intercritical temperatures. The finite element method (FEM) has been a tool used in predicting the behavior of steel for his accuracy in the results. In this research the mathematical modeling that was done to a thermomechanical treatment in AISI 1045 steel, through the MEF is displayed. As initial results experimental data were taken to evaluate the convergence of the results. In determining percentages of microstructures we use JMARK equations, which were implemented in the MATLAB software. The elastic and plastic properties were taken from references to be used in a plastic bilinear model analysis. The effects of the simulations show the percentages of microstuctures that were to be found after the thermomechanical treatment. The results of this study show the accuracy between the experimental and the simulated results.
Keywords— Mathematical Modeling, AISI 1045 steel, thermomechanical treatment, FEM, residual stress
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Implementation of server side service layer in Internet of Things
Abstract— Internet of Things (IoT) is one of the most emerging technologies in this decade. Billions of devices are now connected to Internet which can also communicate with each other. There are several applications using this technology in a variety of fields such as medical, agricultural, industrial, defense etc. IoT has some major roles also in our day to day life. Using the advanced possibilities of this technology many real world processes can be automated. A large number of researches have been conducted on in this field. This paper deals with the server side service layer in IoT. It offers the cloud functionalities to the Internet of Things protocol stack.
Keywords— Service Layer, Internet of Things, low power devices, low memory devices.
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Section Flatcutter-Disc Tool and Disc’s Metrological Research
Abstract— The small-sized sectional flatcarved-disc tool with the ability to carry out the process of spontaneous oscillations under the influence of the differential resistance of cultivated layer of soil is considered. This tool is designed for both tillage under The various crops, and for inter-row and inter-bush processing in orchards, vineyards, berry fields and nurseries. PS DMIS CAD ++ program was used to a metrology research of disc.
Keywords— disc battery, flatcutter-subsoilers, rotating frames, tolerance, concentricity.