nils-herrmann/clean_scirepeval huggingface dataset:
Improving cross sensor interoperability for fingerprint identification

Improving accuracy of matching fingerprint images acquired from two different fingerprint sensors is an important research problem with several promising studies in the literature. Most of these studies focus on sensor interoperability using fingerprints acquired from different kinds of contact-based sensors. However emerging contactless fingerprint technologies have shown its benefits. This paper investigates fingerprint sensor interoperability problem using fingerprints acquired from contact-based and contactless sensor. We propose a generalized contact-based fingerprint deformation correction model (DCM) to improve the matching accuracy. This model is trained by estimating the deformation between contact-based fingerprint and corresponding contactless fingerprint (ground truth). We present a method to estimate contact-based fingerprint impression type and intensity. As a result, minutiae features from contact-based and contactless fingerprint can be better aligned using the proposed model. A database of 1200 2D contactless fingerprints and respective contact-based fingerprints from 200 clients is used for the experiments. The experimental results presented in this paper validate our approach and illustrate promising improvement in performance using the proposed model.
Design and Comparison of CA-PCF and EA-PCF for Dispersion Property

In this paper we compare and analyze the design of circular air hole with elliptical air holes for the total dispersion property of both the configuration. By varying the size of the air holes it is possible to obtain the flattened dispersion for the wavelength range 1.2 nm to 1.6 nm range. A full vector FDTD method is used to simulate and analyze the dispersion property of PCF.
Effect of rumor propagation on stock market dynamics using cellular automata

In this paper, we build a cellular automaton model for the stock market to illustrate the complexity in the stock market by introducing variables for reflecting stability of the market. We introduced the concepts of rumor propagation to represent the market dynamics. Using this model, behavior of the market participants and their effect on the market dynamics are analyzed. Various constraints are introduced to counter-dynamics of rumor propagation for reflecting the close behavior with stock market and results show the relationship between the rumor strength and the behavior of stock market.
A Combined Scale-and-Scope Theory of IT Industry Cluster Growth

Most information technology (IT) clusters are characterized by a heterogeneous mix of IT industries employing different technologies and producing a wide range of hardware, software and services. We study how collocation of one IT industry influences innovation and growth in another IT industry. We examine whether scale and scope effects can explain how collocation, the act of placing potential complementary assets together in geographic space, influences innovation and growth even though use of IT has been expected to lead to greater geographic dispersion of industry. Economies of scale effects (or MAR externalities) suggest collocation of many companies with similar activities. Economies of scope effects (Jacobs externalities) suggest that heterogeneous activities placed in proximity lead to the greatest levels of value creation. From this, we propose a combined scale-and-scope theory of IT industry cluster growth. Our perspective emphasizes the amplifying effects of scale-size on scope effects across industries. We study the growth patterns of four IT industries: computer and peripheral manufacturing, semiconductor and other electronic components manufacturing, software publishing and data processing and what effect collocation of one industry has on others. Our data covers firms in 170 counties of 17 states in the United States in a longitudinal study spanning 1998 to 2002. Using econometric analysis, we find that different IT industries are affected differently by collocation. The software industry does not experience significant collocation externalities. In contrast, the semiconductor industry experiences significant scale-size effects, as well as scope effects from the software industry, which enhance its scale-size effects. We also find that computer manufacturing experiences economies of scope effects from semiconductors, while data processing feels scope effects from the computer and software industries.
Personal Identification from Iris Images Using Localized Radon Transform

Personal identification using iris images has invited lots of attention in the literature and offered higher accuracy. However, the computational complexity in the feature extraction from the normalized iris images is still of key concern and further efforts are required to develop efficient feature extraction approaches. In this paper, we investigate a new approach for the efficient and effective extraction of iris features using localized Radon transforms. The feature extraction process exploits the orientation information from the local iris texture features using finite Radon transform. The dominant orientation from these Radon transform features is used to generate a binarized/compact feature representation. The similarity between two feature vectors is computed from the minimum matching distance that can account for the variations resulting from translation and rotation of the images. The feasibility of this approach is rigorously evaluated on two publically available iris image databases, i.e. IITD iris image database v1 and CASIA v3 iris image database. We also investigate the multi-scale analysis of iris images to enhance the performance. The experimental results presented in this paper are highly promising and suggest the computationally attractive alternative for the online iris identification.
Analysis of sub threshold leakage reduction techniques in deep sub micron regime for CMOS VLSI circuits

Leakage power dissipation has become major portion of total power consumption in the integrated device and is expected to grow exponentially in the next decade as per International Technology Roadmap for Semiconductors (IRTS). This directly affects the battery operated devices as it has long idle times. Thus by scaling down the threshold voltage has tremendously increased the sub threshold leakage current thereby making the static power dissipation very high. To overcome this problem several techniques has been proposed to overcome this high leakage power dissipation. A comprehensive survey and analysis of various leakage power minimization techniques is presented in this paper. Of the available techniques, eight techniques are considered for the analysis namely, Multi Threshold CMOS (MTCMOS), Super Cut-off CMOS (SCCMOS), Forced Transistor Stacking (FTS) and Sleepy Stack (SS), Sleepy keeper (SK), Dual Stack (DS), Input Vector Control (IVC) and LECTOR. From the results, it is observed that MTCMOS and SCCMOS techniques produces lower power dissipation than the other techniques due to the ability of power gating.
Contactless 3D fingerprint identification without 3D reconstruction

Recovery of 3D fingerprint data using photometric stereo generates 3D surface normal and albedo, which forms rich 3D fingerprint surface information. These surface normal's are further subjected to the reconstruction process, which integrates the surface normal to generate depth data. Since the source of depth information is essentially the surface normal, it is prudent to examine if this source information can itself be used for 3D fingerprint identification. In addition to avoiding the errors introduced by well-known integrability problem, such an approach can also enable significantly faster identification as the 3D reconstruction is the most computationally complex operation before the template matching. This paper investigates such an approach for 3D fingerprint identification using recovered surface normal and albedo information. We use publicly available 3D fingerprint database from 240 clients for the performance evaluation. The experimental results presented in this paper are highly promising, validates our approach, and indicate promises from matching contactless 3D fingerprints without the 3D surface reconstruction.
Corrections to "Area-Efficient Low-Noise Low-Spur Architecture for an Analog PLL Working From a Low Frequency Reference"

In the above-named article [ibid., vol. 59, no. 6, pp. 331-335, Jun. 2012], two equations were omitted, and one equation was misplaced during proofing. The correct equations for the second paragraph of Section I (page 331) and in the first paragraph of Section II (page 332) are provided. It is then shown that, with this loop filter, the 3-dB frequency and damping factor for the phase-locked loop are given by another equation that was misplaced during article proofing.
A Triangular Patch Antenna with Bow Tie Aperture Coupling for Improved Ellipticity Bandwidth

Improvement in ellipticity bandwidth with an equilateral triangular shaped microstrip patch antenna is analyzed in this paper. The triangular patch is electromagnetically coupled using two orthogonally oriented bow tie shaped apertures fed by a 3dB 90deg hybrid for dual polarization operation. The radiating triangular patch has an optimized side length of 52.0 mm. The antenna is designed to transmit and receive the two differently circularly polarized wide band signals simultaneously with a single antenna. The use of a thick, low cost dielectric foam yields further improvement in bandwidth. A 2:1 impedance bandwidth of 38% and 3 dB axial ratio bandwidth of 23% has been achieved practically with the optimized geometry. An improvement of 7.16% in impedance bandwidth and 10.14% in ellipticity bandwidth is obtained over a patch of similar geometry with conventional rectangular shaped apertures. The use of dielectric foam makes the antenna light weight and low cost. The above features make it an ideal element for wide band application as required for Personal, Mobile Satellite and Wireless Communication Systems.
Notice of Violation of IEEE Publication PrinciplesPerformance of superconducting fault current limiter in offshore wind farm connected VSC based MTDC transmission system

Nowadays multi-terminal voltage source converter based high voltage direct current (VSC-HVDC) system stands as an interesting solution to efficiently connect a number of offshore wind farms. But the VSC based HVDC system is more vulnerable to DC line faults due to the high discharge current from the DC link capacitance. In view of this, a superconducting fault current limiter (SCFCL) is a possible device which can mitigate the consequences of DC line faults effectively. The main objective of this paper is to improve the dynamic performance of an offshore wind farm connected multi-terminal VSC-HVDC transmission system by incorporating SCFCL under various perturbations. Here, the MTDC system along with the SCFCL is modelled in MATLAB/Simulink and the results are presented for various AC/DC fault conditions.
Developing the fabricated system of automatic vehicle identification using RFID based poultry traceability system

The present work reports the automatic vehicle identification (AVI) system using RFID signals. Sensor is incorporate in the electronic family; it is used in many fields. In this paper, we propose the photoelectric sensors as a vehicle detection tool in an RFID based poultry traceability system. In this system the vehicle is tapered with barcodes on the number plates, all the information about vehicle like vehicle register number, vehicle owner name, address of the owner and all the specifications about the vehicle are tapered as barcodes and the RFID based poultry traceability system is fixed at every check point, when the vehicle passes through this check point the RFID signals scan the bar codes and send the information to the main server. In the main server the information is stored in the secondary storage device (ssd) and it can be verified at any time easily. By using this system we can collect toll fares, insurances etc., efficiently without humans and we can also reduce the accidents on highways by controlling the vehicle speed, if any vehicle tolerates the rules like over speed, the check points the sensors warns the driver by displaying the message on the screens and also send the vehicle information to the traffic controllers and to main server simultaneously with in fraction of seconds using general packet radio service (gprs). There is no need to supply power to this system because the dc motor available in this system converts the pressure obtain from the vehicles to electric energy. Finally, the concept shown in this paper is highly reliable system for identification of vehicles in this electronic world.
Process Integration Considerations for 300 mm TSV Manufacturing

Through-silicon via (TSV) will transition to high volume production when end-customer value (as exhibited by functionality, performance, form factor, etc.) are delivered at equivalent yield and cost. While this has been successfully achieved for CMOS image sensors (starting with 200 mm), significant work remains to be done in the TSV value chain (design-materials-process-packaging-test) in the communication and memory segments. This paper will address key unit process/process-integration challenges and highlight recent internal/ partner and industry findings in the context of TSV manufacturability at 300 mm.
Design of 3-factor strict local language in ethological data mining of bengalese Finch's and White-Rumped Munia's song

The aim of the paper is to extract and compare the behavioral units of Bengalese Finch and White-Rumped Munia's songs and represent them by a scanner which is a counter automaton of sub-regular language. Scanner allows us to recognize the bird songs at a fast rate. We have used ethological data mining and automata-based approach for finding the rules governing the structure of bird songs. We have demonstrated the difference in the results obtained for both the birds. The results indicate that it is possible to represent these songs by using 3-factor strictly local language.
Optimization of UPFC location and capacity to improve the stability using ABC and GSA algorithm

In this paper optimal location and capacity of Unified Power Flow Controller to improve the power system stability using hybrid technique composed of ABC-GSA algorithms is proposed. Here, the maximum power loss bus is identified as the most suitable location for connecting the UPFC under generator outage conditions. The optimum location has been determined using the Artificial Bees Colony (ABC) algorithm. Depending on the violated power flow quantities the Gravitational Search Algorithm (GSA) optimize the required capacity of the UPFC to recover the initial stable operating condition. The proposed work is implemented in the MATLAB platform and the performance is analyzed by comparison with individual algorithms ABC and GSA. The comparison results demonstrate the superiority of the proposed Hybrid approach and confirm its potential to solve the problem.
Arithmetic optimization for custom instruction set synthesis

One of the ways that custom instruction set extensions can improve over software execution is through the use of hardware structures that have been optimized at the arithmetic level. Arithmetic hardware, in many cases, can be partitioned into networks of full-adders, separated by other logic that is better expressed using other types of logic gates. In this paper we present a novel logic synthesis technique that optimizes networks of full adders and is intended for use in the context of custom instruction set synthesis. Unlike earlier work (e.g., Three Greedy Approach , ) our approach does not require any prior knowledge about the functionality of the circuit. The proposed technique automatically infers the use of carry-save arithmetic, when appropriate, and suppresses its use when unfavorable. Our approach reduces the critical path delay through networks of full adders, when compared to the Three Greedy Approach, and in some cases, reduces the cell area as well.
A Ku-band 6-bit digital phase shifter MMIC for phased array antenna systems

This paper presents a 6-bit digital phase shifter designed at Ku-band for electronic beam steering of satellite based phased array antenna systems. The phase shifter is implemented using space qualified 0.25-μm pHEMT GaAs MMIC process. Each individual bit of the phase shifter is designed using optimum topology to achieve minimal insertion loss, accurate phase shifting and low amplitude variations. The measured performance of all 64 states of the phase shifter demonstrates an insertion loss of 6.1±0.6 dB with RMS phase error <; 1.3°, RMS amplitude error <; 0.35 dB and return losses better than 15 dB over 12-13 GHz frequency range. The circuit consumes negligible power (<;0.5mW) and has dimensions of 6.1×1.5 mm2 to fit in a multi-function single chip beam forming MMIC. The low insertion loss and high accuracy of the phase shifter are key features of the MMIC, making it suitable for high precision beam forming applications.
TIPS-pentacene:Polymer blend inverters with improved gain

Inverter circuits based on neat TIPS-pentacene and TIPS-pentacene: polystyrene blend organic field-effect transistors (OFETs) with external resistive load has been studied. Resistive loads of 28 ΜΩ, 40 ΜΩ, 68 ΜΩ and 108 ΜΩ were used to study the inverter transfer characteristics. Transfer characteristics of both types of inverters are improved with increasing load resistance. Inverter with a representative OFET with neat TIPS-pentacene shows a DC voltage gain of −6.9, swing of 40 V, and static power dissipation of 9.5 μW with load of 108 ΜΩ and 50 V power supply. Similarly, inverter with a representative TIPS-pentacene: polymer blend OFET shows a DC voltage gain of −8.7, swing of 44 V, and static power dissipation of 10.2 μW with the same load. For both neat TIPS-pentacene and TIPS-pentacene: polymer blend inverters, maximum DC gain and voltage swing are achieved with highest value of resistive load. However, switching thresholds near VDD/2 are obtained with moderate resistive loads.
Estimating Sample Size Requirements for Reliable Personal Authentication Using User-Specific Samples

The goal of this paper is to determine bounds for estimating minimum sample size requirement for reliable biometric identification. A new approach for the reliable estimation of the minimum sample size is proposed for arbitrary ensemble of subjects. A bound on number of acquisitions/samples per subject is arrived through an iterative procedure that tests sequences for user-specific sequences. The approach proposed in this paper is supported by information theoretic measures. These results are fundamental to the integration of concepts from statistics, complexity and probabilistic (Borel) measure spaces. We evolve a novel concept of information equivalence in comparing random sequences for its information content. Furthermore, the problem of missing or lost/corrupted matching scores is also investigated. The solution for these missing biometric matching scores is based on completeness of certain typical space and these scores can be estimated using proposed iterative algorithm.
Development of MATLAB/Simulink based model of PV system with MPPT

In this paper study on a photovoltaic system done with a developed simulation model consisting of a maximum power point tracker is presented. The characteristics of the developed model were compared with commercially available PV module after simulation under different radiation and temperature conditions. For extracting the maximum power from the Photovoltaic array, a Perturbation and Observation based MPPT technique is developed. The developed model of MPPT effectively extracts the maximum power from the PV panel. The complete system is developed using a MATLAB/Simulink GUI environment.
Research issues related to cryptography algorithms and key generation for smart grid: A survey

With advent of technology existing electrical grids are changed to smart grids which are effective power management, secure communication, reduced production cost and environment friendly. But, Smart Grid is complex hierarchy architecture. There are various stakeholders included. So, the biggest challenges are authentication and authorization. Secondly how to secure the communication lines from various cyber attacks. In this paper, a survey is done on various cryptography algorithms and related key generation for smart grid application. On the basis of survey several research issue have been discussed for the secure operations in the smart grids. It has been found that lightweight algorithms are more suitable in smart meters because of less area and memory required. Key generation for cryptography algorithm should be generated from noise and jitter as a seed because of their random nature to prevent from cyber attacks.
A Secure Phase-Encrypted IEEE 802.15.4 Transceiver Design

With the proliferation of Internet of Things (IoT), the IEEE 802.15.4 physical layer is becoming increasingly popular due to its low power consumption. However, secure data communication over the network is a challenging issue because vulnerabilities in the existing security primitives lead to several attacks. The mitigation of these attacks separately adds significant computing burden on the legitimate node. In this paper, we propose a secure IEEE 802.15.4 transceiver design that mitigates multiple attacks simultaneously by using a physical layer encryption approach that reduces the computations at the upper layers. In addition to providing confidentiality and integrity services, the proposed transceiver provides sufficient complexity to various attacks, such as cryptanalysis and traffic analysis attacks. It also significantly improves the lifetime of the node in the presence of a ghost attacker by preventing the legitimate node from processing the bogus messages and hence combats against energy depletion attacks. The simulation results show that a high symbol error rate at the adversary can be achieved using the proposed transceiver without affecting the throughput at the legitimate node. In this paper, we also analyze the hardware complexity by developing an FPGA and ASIC prototype of the proposed transceiver.
Fuzzy estimator for sensorless PMBLDC motor drive under speed reversal

The speed and position estimation from Back EMF has been a problem under speed reversal response due to change of sign of speed. In this paper, an algorithm using fuzzy logic is proposed to estimate the speed and position of BLDC motor from back EMF for sensorless brushless DC (BLDC) motor drives to improve the performance of conventional sensorless drives. Most existing sensorless methods of the BLDC motor have low performance at speed reversal, transients or low speed range and occasionally require additional circuit. For this type of problem, the estimation of speed and position from back-EMF is suitable for high performance because the back-EMF of the BLDC motor has a trapezoidal shape. The proposed algorithm gives robust control for the reversal of the reference speed and continuously calculates position of the rotor at transients as well as steady state. The robustness of the proposed algorithm is proved through the MATLAB simulation.