bluuebunny/crossref_metadata_2025_split huggingface dataset:
Learning to Rank and Classification of Bug Reports Using SVM and Feature Evaluation
Authors: Rajeswari S. , Sharavanan S. , Vijai R. , Balajee RM 
Published: November 2017

Abstract
When a new bug report is received, developers usually need to reproduce the bug and perform code reviews to find the cause, a process that can be tedious and time consuming. A tool for ranking all the source files with respect to how likely they are to contain the cause of the bug would enable developers to narrow down their search and improve productivity. This project introduces an adaptive ranking approach that leverages project knowledge through functional decomposition of source code, API descriptions of library components, the bugfixing history, the code change history, and the file dependency graph. Given a bug report, the ranking score of each source file is computed as a weighted combination of an array of features, where the weights are trained automatically on previously solved bug reports using a learning-to-rank technique. I applied SVM (Support Virtual Machine) to classify the bug reports to identify, which category the bug belongs to. It helps to fix the critical defects early. The ranking system evaluated on six large scale open source Java projects, using the beforefix version of the project for every bug report. The experimental results show that the learning-to-rank approach outperforms three recent state-of-the-art methods. In particular, proposed method makes correct recommendations within the top 10 ranked source files for over 70 percent of the bug reports in the Eclipse Platform and Tomcat projects.
Specific Absorption Rate Assessment on Human Head Due to Radiations by Mobile Phone Antenna
Authors: Anto Bennet M. , Surekha Poomathi J. , Kalpana C. , Sariga Priya S. 
Published: November 2017

Abstract
Development of mobile phone communication infrastructure in the world has promoted which lead public concern over possible health effect exposure to radio frequency electromagnetic energy (RFEME) emanating from mobile phone antenna. The Micro-strip patch antenna plays an important role in electromagnetic energy transmitting and receiving phenomena in mobile phone. This paper makes an effort to assess the mobile radiation exposure effect on 4 years child, 8years child and an adult head model. Hand held device model having micro-strip antenna is used for human interaction. The software simulation performed by Computer simulation technique (CST) software based on Finite difference Time Domain Technique yields specific absorption rate and 3D-thermal distribution on spherical human head.
Performance and Analysis of Low Power, Areaefficient and High Speed Carryfast Adder
Authors: AntoBennet M. , Sankaranarayanan S. , BanuPriya V. , Pretheena PJaya , Yamini S. , Supriya S. 
Published: November 2017

Abstract
Carry Select Adder (CSLA) is one of the fastest adders used in many data-processing processors to perform fast arithmetic functions. From the structure of the CSLA, it is clear that there is scope for reducing the area and power consumption in the CSLA. This work uses a simple and efficient gate-level modification to significantly reduce the area and power of the CSLA. Based on this modification 8, 16,32,and 64-bit square-root CSLA (SQRT CSLA) architecture have been developed and compared with the regular SQRT CSLA architecture. The proposed design has reduced area and power as compared with the regular SQRT CSLA with only a slight increase in the delay. This work evaluates the performance of the proposed designs in terms of delay, area, power. Binary to Excess-1 Converter (BEC) instead of RCA with the regular CSLA to achieve lower area and power consumption. The main advantage of this BEC logic comes from the lesser number of logic gates than the n-bit Full Adder structure. The delay and area evaluation methodology of the basic adder blocks. The SQRT CSLA has been chosen for comparison with the proposed design as it has a more balanced delay, and requires lower power and area. Reducing the area and power consumption in the CSLA. Efficient gate-level modification to significantly reduce the area and powerof the CSLA.
Nanorobot Movement: Challenges and Biologically inspired solutions
Authors: Sharma N. N. , Mittal R.K. 
Published: November 2017

Abstract
Nanorobotics is the technology of creating machines or robots of the size of few hundred nanometres and below consisting of components of nanoscale or molecular size. There is an all around development in nanotechnology towards realization of nanorobots in the last two decades. In the present work, the compilation of advancement in nanotechnology in context to nanorobots is done. The challenges and issues in movement of a nanorobot and innovations present in nature to overcome the difficulties in moving at nano-size regimes are discussed. The efficiency aspect in context to artificial nanorobot is also presented.
A Design of Gain-scheduled Congestion Controllers using State Predictive Observers
Authors: Azuma Takehito , Uchida Masashi 
Published: November 2017

Abstract
In this paper, a design problem of congestion controllers is discussed for TCP/AQM(Transmission Control Protocol/Active Queue Management) networks. The proposed method consists of two control techniques. First one is based on a gain-scheduling technique considering nonlinearities of TCP/AQM networks. But the designed congestion controller is a state feedback controller and it is impossible to embed the congestion controller in real computer networks. To avoid this problem, second one is based on a design technique of state predictive observer for linear time-delay systems. Thus it can be possible to embed the congestion controller in real networks by combining these methods. Firstly dynamical models of TCP/AQM are described as linear systems with self-scheduling parameters, which also depend on information delay. Here it is distinguishing to focus on constraints on the maximum queue length and TCP window-size, which are the network resources in TCP/AQM networks. And a design method of memoryless state feedback controllers is shown for linear system with a self-scheduling parameter and an information delay. But the designed gain- scheduled congestion controller is a state feedback controller and it is impossible to apply this controller to computer networks directly. Thus observers are also designed and the observer-based congestion controllers are derived.
Iterative Feedback Tuning (IFT) of Head Positioning Servomechanism in Hard Disk Drive
Authors: Al Mamun A. , Tan K.C. , Wong W.E. 
Published: November 2017

Abstract
Actuators used in hard disk drives (HDD) are produced en mass and therefore their dynamic properties vary within a given tolerance bound. A nominal model representing the batch of actuators is used to design the head positioning servomechanism. Equal performance can not be expected for all actuators when such controller is used. Disk drive servomechanism is expected to provide performance with increasingly tighter tolerance as the demand for higher storage capacity continues. Moreover, physical properties of any actuator may change over time causing the degradation of performance. All these issues demand for good on-line tuning of controller. This paper explores the usage of Iterative Feedback Tuning (IFT) in HDD servomechanism. Improved performance of the tuned controller is demonstrated using simulation and experimental results.
Scaling Issues in Large Networks of Small Sensors: Energy and Communication Management
Authors: Siegel Mel 
Published: November 2017

Abstract
We discuss five scaling-related issues in robotics and robotic systems. They are unified by an understanding of the fundamental engineering constraints imposed by the essentially fixed fundamental strength of materials and the essentially fixed practical density at which energy can be stored. These constraints have profound effects on when big bodies are in danger of collapsing under their own weight and when small bodies are in danger of running out of fuel. The section on strength provides a review of the lesson that small is strong, big is weak. The section on speed relates design and scale to inherent speed capability, including a discussion of why humanoid robots walk in unnaturallooking ways. The section on energy reinforces the realization that stored energy scales as the cube of a body’s characteristic linear dimension, whereas its baseline power requirement usually scales as a lower power, e.g., the square of that dimension, so running time and range usually decrease cripplingly rapidly with size. The section on power shows how baseline power – and its dependence on speed – in combination with stored energy determines a body’s running time and range. The section on communication discusses scale-related communication quality and duration, especially in systems that are simultaneously large and small, e.g., in networks composed of a very large number of very small robot-like nodes.
Evolution Of A Suite Of Smart Millimetre Wave Radar Systems For Situational Awareness And Automation In Mines
Authors: Brooker Graham , Bishop Mark , Hennessy Ross 
Published: November 2017

Abstract
This paper defines the issues required for the development of successful visualisation sensors for use in open cut and underground mines. It examines the mine environment and considers both the reflectivity of the rock and attenuation effects of dust and water droplets. Millimetre wave technology, as an alternative to the more commonly used laser and sonar implementations, is selected due to its superior penetration through adverse atmospheric conditions. Of the available radar techniques, frequency modulated continuous wave (FMCW) is selected as being the most robust. The theoretical performance of a number of 94GHz FMCW millimetre wave radar systems is determined and these confirm the capability of these sensors in the mining environment. The paper describes implementations of FMCW radar sensors for simple ranging, two dimensional line scanning and three dimensional imaging that are based on a common ranging module and in the case of the 2D and 3D applications, a common swash-plate mirror scanner. Data obtained during field trials in mines is presented to justify the selection of this technology
Nanocrystalline ZnO based MEMS Gas Sensors with CMOS ASIC for Mining Applications
Authors: Futane N.P. , Bhattacharyya P. , Barma S. , Roychaudhuri C. , Saha H. 
Published: November 2017

Abstract
In this paper a nanocrystalline (nc) zinc oxide based hybrid gas sensor with signal conditioning ASIC has been reported for sensing and transmitting the information about methane concentration from the underground coalmine environment. A low power, low temperature nc zinc oxide MEMS based gas sensor has been designed, fabricated and tested for the purpose with a power consumption of ~70mW and sensitivity of 76.6 % at 1.0% methane concentration at a sensor operating temperature of 150°C. For transmitting the output of the gas sensor, a voltage controlled oscillator (VCO) chip integrated with a low noise amplifier has been fabricated in 0.3 5 μm CMOS technology to convert the voltage output of the gas sensor to desirable frequency. The power consumption of the chip has been obtained to be around 3mW. The amplifier gain is set suitably ~13 to apply the desirable control voltage (~1.2V-3.2V)to the VCO. The noise of the amplifier has 1/2 been obtained to be around 2μV/Hz . The output frequency of the VCO varies from 20kHz to 100kHz for the change in methane concentration from 0 to 1%. The output of the VCO chip can be applied as a modulating signal to a commercially available transceiver, which transmits the signal to the control room.
A Broadband Spectroscopic Sensor Probe
Authors: Woodhead I M , Platt I , Christie J H , Krenek S 
Published: November 2017

Abstract
The electrical properties of many materials are closely related to their composition and to their moisture content in particular. For sensor development, characterising the response of a particular volume of material over a broad frequency range is desirable, since separate measurements could generate errors due to spatial variability. A coaxial probe has been designed for measurement of the permittivity of smooth and flat, solid or liquid samples over the frequency range from 1 Hz to 6 GHz. Although the probe is capable of a very wide frequency range, separate instruments are generally required, and here we focus on measurements above 1MHz. We demonstrate measurements in the frequency domain using a vector network analyser, and in the time domain using a broadband oscilloscope. For switching, we employed a coaxial switch and demonstrate how that is included within the instrument calibration. Calibration of the probe used three References: an open circuit, short circuit (indium foil) and a reference liquid, ideally chosen for a permittivity similar to that of the sample. The sample complex permittivity was calculated by a numerical model which used as inputs, the measured reflection coefficient and physical measurements of the probe geometry.
Enhanced Rssi-Based High Accuracy Real-Time User Location Tracking System For Indoor And Outdoor Environments
Authors: Lau Erin-Ee-Lin , Lee Boon-Giin , Lee Seung-Chul , Chung Wan-Young 
Published: November 2017

Abstract
Existing researches on location tracking focus either entirely on indoor or entirely on outdoor by using different devices and techniques. Several solutions have been proposed to adopt a single location sensing technology that fits in both situations. This paper aims to track a user position in both indoor and outdoor environments by using a single wireless device with minimal tracking error. RSSI (Received Signal Strength Indication) technique together with enhancement algorithms is proposed to cater this solution. The proposed RSSI-based tracking technique is divided into two main phases, namely the calibration of RSSI coefficients (deterministic phase) and the distance along with position estimation of user location by iterative trilateration (probabilistic phase). A low complexity RSSI smoothing algorithm is implemented to minimize the dynamic fluctuation of radio signal received from each reference node when the target node is moving. Experiment measurements are carried out to analyze the sensitivity of RSSI. The results reveal the feasibility of these algorithms in designing a more accurate real-time position monitoring system
Hydrogen Gas Sensing Performance Of Pt/Sno2 Nanowires/Sic Mos Devices
Authors: Shafiei M. , Kalantar-zadeh K. , Wlodarski W. , Comini E. , Ferroni M. , Sberveglieri G. , Kaciulis S. , Pandolfi L. 
Published: November 2017

Abstract
This paper presents material and gas sensing properties of Pt/SnO2 nanowires/SiC metal oxide semiconductor devices towards hydrogen. The SnO2 nanowires were deposited onto the SiC substrates by vapor-liquid-solid growth mechanism. The material properties of the sensors were investigated using scanning electron microscopy, transmission electron microscopy and X-ray photoelectron spectroscopy. The current-voltage characteristics have been analyzed. The effective change in the barrier height for 1% hydrogen was found to be 142.91 meV. The dynamic response of the sensors towards hydrogen at different temperatures has also been studied. At 530°C, voltage shift of 310 mV for 1% hydrogen was observed
Leak Rate And Location Analysis Through Slits And Cracks In Pipes By Nano Porous CeramiC Humidity Sensors
Authors: Ghara Dilip Kumar , Saha Debdulal , Sengupta Kamalendu 
Published: November 2017

Abstract
Nano porous sol gel thin film humidity sensor was studied using commercially available reference humidity sensor from Honeywell Corporation. The main advantages of our developed set up for humidity measurements is low cost and high resolution yielding a full set of information on the variation of humidity at 250°C. Humidity is considered to be one of the most effective indicators of the leakage. On this ground we developed nano porous sensor which can be used for LBB (Leak before break) application. The ceramic sensors, based on sol gel thin film are shown to increase its capacitance upon water adsorption over the temperature range upto 250°C. The variation of capacity to voltage is shown to provide useful information on both break rate and location. The sensor installation spacing on the outer surface of the piping is determined as a function of the detection sensitivity. In this paper we have summarize the results of the development and characterization of ceramic humidity sensor for leak rate and location analysis by a microcontroller device
Determining The Step-Change Conductivity Profiles Within Layered Metal Structures Using Inductance Spectroscopy
Authors: Yin Wuliang , Peyton Anthony J 
Published: November 2017

Abstract
This paper presents an inverse method for determining the conductivity distribution of a flat, layered conductor using a multi-frequency electromagnetic sensor based on phase signature alone. Eddy current sensors are used in a wide range of non-destructive testing (NDT) applications. Single frequency sensors are very common, however, the potential of an eddy current sensor with spectroscopic techniques offer the ability to extract depth profiles and examine more fully the internal structure of the test piece. In this paper, we found a simplified model that can estimate the phase signature of a cylindrical coil above a conductor with an arbitrary conductivity profile. This simplified model improves the computational efficiency by many fold compared to the complete analytic solution. For inverse solution, a simplex search method was used to fit a set of multi-frequency phase values in a least-squared sense. Experimental eddy-current tests are performed by taking the difference in inductance of the coil when placed in free space and next to a layered conductor over the range 100Hz -1MHz. Good estimates for the conductivity profile from experimental and simulated data were obtained
Training Data Compression Algorithms and Reliability in Large Wireless Sensor Networks
Authors: Iyer Vasanth , Murthy Garimella Ram , Srinivas M.B. 
Published: November 2017

Abstract
With the availability of low-cost sensor nodes there have been many standards developed to integrate and network these nodes to form a reliable network allowing many different types of hardware vendors to coexist. Most of these solutions however have aimed at industry-specific interoperability but not the size of the sensor network and the large amount of data which is collected in course of its lifetime. In this paper we use well studied data compression algorithms which optimize on bringing down the data redundancy which is related to correlated sensor readings and using a probability model to efficiently compress data at the cluster heads. As in the case of sensor networks the data reliability goes down as the network resource depletes and these types of networks lacks any central synchronization making it even more a global problem to compare different reading at the central coordinator. The complexity of calibrating each sensor and using an adaptable measured threshold to correct the reading from sensors is a severe drain in terms of network resources and energy consumption. In this paper we separate the task of comparative global analysis to a central coordinator and use a reference PM ax which is a normalized probability of individual source which reflects the current lifetime reliability of the sensors calculated at the cluster heads which then is compared with the current global reliability index based on all the PMax of cluster heads. As this implementation does not need any synchronization at the local nodes it uses compress once and stamp locally without any threshold such as application specific calibration values (30±C ) and the summarization can be application independent making it more a sensor network reliability index and using it independent of the actual measured values.
Sensitivity Improvement of Wireless Pressure Sensor by Incorporating a Saw Reflective Delay Line
Authors: Oh Haekwan , Wang Weng , Lee Keekeun , Park Ikmo , Yang Sang Sik 
Published: November 2017

Abstract
this paper presents a wireless surface acoustic wave (SAW) pressure sensor on 41oYX LiNbO3 for tire pressure monitoring system (TPMS) application, in which a reflective delay line composed of an interdigital transducer (IDT) and several reflectors was used as the sensor element. Using the coupling of modes (COM), the SAW reflective delay line was simulated, and the optimal design parameters were determined. The fabricated 2.4GHz SAW sensor was wirelessly characterized by the network analyzer. Sharp reflection peaks, few spurious signals, and relatively high signal-to-noise (S/N) ratio were observed. High sensitivity of 2.9 deg/kPa and good linearity were observed.
Detection of Transverse Cracks in a Composite Beam Using Combined Features of Lamb Wave and Vibration Techniques in Ann Environment
Authors: Ramadas C. , Balasubramaniam Krishnan , Joshi M. , Krishnamurthy C.V. 
Published: November 2017

Abstract
The detection, location and sizing of transverse cracks in a composite beam, by combining damage features of Lamb wave and vibration based techniques in artificial neural network (ANN) environment, using numerical finite element model, is discussed. Four damage features, time of flight (TOF) and amplitude ratio, which are Lamb wave based features and first and second natural frequencies, which are vibration based features were used as input to ANN. The output of ANN was crack location and depth. It was demonstrated that through the simultaneous employment of features from the two modalities in an ANN environment, the sizing could be done more effectively.
INVITED PAPER: Scalability and Performance Issues in Deeply Embedded Sensor Systems
Authors: Sridhar Prasanna , Madni Asad M. 
Published: November 2017

Abstract
The property of scalability for a given system indicates the ability of a system or a subsystem to be modified with changing load on the system. For a sufficiently large complex system, there are several factors that influence the ability of the system to scale. It is necessary to incorporate solutions to these factors (or bottlenecks) in the design for scalability of a given system. In this paper, we discuss such design principles to handle the key factors that influence the scalability of large complex systems. Specifically, we demonstrate design and implementation of simple, innovative, and relatively less expensive methodology to guarantee that a large complex system (such as network of sensors) is scalable under varying load conditions.
An Attitude Based Multi-agent Problem Solving in a Hostile World
Authors: Goyal Madhu 
Published: November 2017

Abstract
In multi-agent setting agent often encounter conflicts in agents’ plans and actions. This paper presents an attitude based cooperative decision making methodology that allows agents to act appropriately to various options in a hostile and dynamic fire world. It shows that attitude based decision making explore the attitudes and behaviors that help agents to solve problems constructively. The application and implementation of this methodology to a virtual fire-fighting domain has revealed a promising prospect in negotiating conflicts and solving them