bluuebunny/crossref_metadata_2025_split huggingface dataset:
Power and smart meters: A political perspective on the social acceptance of energy projects
Authors: Jegen Maya , Philion Xavier D. 
Published: March 2017

AbstractSocial acceptance has become a key consideration for promoters, government officials and citizens when instituting new energy infrastructures and technologies. Often theorized in normative terms, it is not clear whether and when social acceptance matters. This article explores the rollout of smart meters in Quebec, which proceeded despite significant opposition from municipalities, community groups and unions. Drawing on core concepts from punctuated equilibrium theory—policy monopoly, policy venue, policy image—we argue that this opposition had no policy venue to express its grievances. Quebec's electricity sector, with a stable policy environment controlled by a policy monopoly and buttressed by a strong policy image, provided few opportunities to expand the conflict. We conclude from this analysis that public administrators should consider power when measuring social acceptance in political processes.
Property Testing on Product Distributions
Authors: Chakrabarty Deeparnab , Dixit Kashyap , Jha Madhav , Seshadhri C. 
Published: March 2017

The primary problem in property testing is to decide whether a given function satisfies a certain property or is far from any function satisfying it. This crucially requires a notion of distance between functions. The most prevalent notion is the Hamming distance over theuniformdistribution on the domain. This restriction to uniformity is rather limiting, and it is important to investigate distances induced by more general distributions.In this article, we provide simple and optimal testers forbounded derivative propertiesoverarbitrary product distributions. Bounded derivative properties include fundamental properties, such as monotonicity and Lipschitz continuity. Our results subsume almost all known results (upper and lower bounds) on monotonicity and Lipschitz testing over arbitrary ranges.We prove an intimate connection between bounded derivative property testing and binary search trees (BSTs). We exhibit a tester whose query complexity is the sum of expected depths of optimal BSTs for each marginal. Furthermore, we show that this sum-of-depths is also a lower bound. A technical contribution of our work is anoptimal dimension reduction theoremfor all bounded derivative properties that relates the distance of a function from the property to the distance of restrictions of the function to random lines. Such a theorem has been elusive even for monotonicity, and our theorem is an exponential improvement to the previous best-known result.
Guest Column
Authors: Fenner Stephen , Gurjar Rohit , Thierauf Thomas 
Published: March 2017

The perfect matching problem has a randomized NC-algorithm based on the Isolation Lemma of Mulmuley, Vazirani and Vazirani. We give an almost complete derandomization of the Isolation Lemma for perfect matchings in bipartite graphs. This gives us a deterministic quasi-NC-algorithm for the bipartite perfect matching problem.
The outline presented here emphasizes a geometric point of view. We think that this will be useful also for the perfect matching problem in general graphs.
Speech Recognition Using Combined Fuzzy and Ant Colony algorithm
Authors: Jalili Fooad , Jafari Barani Milad 
Published: March 2017

<p><span>In recent years various methods has been proposed for speech recognition and removing noise from the speech signal became an important issue. In this paper a fuzzy system has been proposed for speech recognition that can obtain accurate results using classification of speech signals with “Ant Colony” algorithm. First, speech samples are given to the fuzzy system to obtain a pattern for every set of signals that can be helpful for dimensionality reduction, easier checking of outcome and better recognition of signals. Then, the “ACO” algorithm is used to cluster these signals and determine a cluster for each input signal. Also, with this method we will be able to recognize noise and consider it in a separate cluster and remove it from the input signal. Results show that the accuracy for speech detection and noise removal is desirable.</span></p>
Optimal Placement of TCSC Based on Sensitivity Analysis for Congestion Management
Authors: Kumari.CH Naga Raja , Sekhar K. Chendra 
Published: March 2017

In a deregulated electricity market whenever congestion management problem occurs, the network collapse because of voltage instability. In this paper total real and reactive power loss deviation based sensitivity indexes (PLDS and QLDS) with rank co-relation concept, has been proposed for the optimal location and operating range of TCSC device. With this placement the power flow in over loaded overhead lines has been reduced and that results in an increased loadability of the power system and also improves the voltage stability and security and also solves the congestion management problem. So ultimately, a more energy efficient transmission system is possible. The case studies were conducted on IEEE 14 bus test system. The ensue corroborate the intended approach for social welfare maximization inreal time.
Single Perceptron Model for Smart Beam forming in Array Antennas
Authors: Senthilkumar K.S. , Pirapaharan K. , Hoole P.R.P , Hoole R.R.H 
Published: March 2017

<p>In this paper, a single neuron neural network beamformer is proposed. A perceptron model is designed to optimize the complex weights of a dipole array antenna to steer the beam to desired directions. The objective is to reduce the complexity by using a single neuron neural network and utilize it for adaptive beamforming in array antennas. The selection of nonlinear activation function plays the pivotal role in optimization depends on whether the weights are real or complex. We have appropriately proposed two types of activation functions for respective real and complex weight values. The optimized radiation patterns obtained from the single neuron neural network are compared with the respective optimized radiation patterns from the traditional Least Mean Square (LMS) method. Matlab is used to optimize the weights in neural network and LMS method as well as display the radiation patterns.</p>
A Non-Linear Controller for Forecasting the Rising Demand for Electric Vehicles Applicable to Indian Road Conditions
Authors: S Poorani , R Murugan 
Published: March 2017

<p class="Abstract">These days load forecasting is much more required in order to reduce the wastage of energy. This paper is to implement &amp; develop the idea of short term load forecasting by using Artificial Neural Network, the design of the neural network model, input data selection and Training &amp; Testing by using short term load forecasting will be described in paper. For the EV load forecasting only 2 variables are being used as temperature and humidity to forecast the output as load. This type of designed ANN model will be mapped by using historical data of temperature and humidity (taken from meteorological sites), whereas it is being Trained &amp; Tested by using historical data of loading of EV charging stations (Chetan maini ,Bangalore) of a particular area as Coimbatore to give the desired result. Training &amp; Testing done by using large amount of historical data of weather conditions and loading data (kV). By the help of this model they can predict their daily loads (next day's load) by putting historical data in the acquired algorithm.</p>
Investigation and Analysis of Space Vector Modulation with Matrix Converter Determined Based on Fuzzy C-Means Tuned Modulation Indexs
Authors: Amarendra Ch. , Reddy K. Harinadh 
Published: March 2017

<p>Matrix converter performs energy conversion by directly connecting input phases with output phases through bidirectional switches. Conventional power converters make use of bulky reactive elements which are subjected to ageing, reduce the system reliability. The matrix converter (MC) stands as an alternative to conventional power converter. Furthermore MC’s provide bidirectional power flow nearly sinusoidal input and sinusoidal output waveform and controllable input power factor. In this work, three modulation methods have been simulated using MATLAB and compared on the basis of input current harmonics, output voltage harmonics and number of switching per cycle. The three techniques simulated are, Optimal Venturini method, Direct Space Vector Modulation (DSVM) and Indirect Space Vector Modulation (ISVM) on Conventional Matrix Converter (CMC) and obtained form Fuzzy c-Means (FCM). DSVM with FCM is proposed for obtainting best results compared to other three techniques.</p>
Evaluation of Recognition-Based Graphical Password Schemes in Terms of Usability and Security Attributes
Authors: Khodadadi Touraj , Muzahidul Islam A.K.M. , Baharun Sabariah , Komaki Shozo 
Published: March 2017

<p>User Authentication is a critical component in information security. Several widely used mechanisms for security to protect services from illegal access include alphanumerical usernames passwords. However, there are several drawbacks attached in this method. For instance, the users themselves usually those passwords that are easy to guess. As difficult passwords are difficult to recall. A new alternative is the graphic-based password and there has been a growing trend in the use of such a password. The human psychology study reveals that humans find it easier to remember pictures as opposed to words. There are two main aspects to the graphical password scheme, namely security and usability. This study comprises of a comprehensive research in the current Recognition-Based graphical password schemes. The common usability attributes and possible attacks on the Recognition-Based graphical password are reviewed, identified and examined in detail. There are several previous surveys on the graphical passwords. The latest research review and summarize graphical password systems concisely and at the same time, analyze usability features for every design. However it was found that there is not a single method that has the most resounding usability attributes. Therefore, this research suggests a set of usability attributes that can be applied into a single Recognition-Based graphical password system. In addition, this study examines and compares success rates on login, login time and memorability of existing systems which are the usability measures most often reported in user studies of graphical passwords. Lastly, a comparison table is revealed to put forth the limitations and strengths of each approach in terms of security and usability.</p>
A Hybrid Cryptographic System for Secured Device to Device Communication
Authors: Krishna A. Rama , Chakravarthy A. S. N. , Sastry A. S. C. S. 
Published: March 2017

<p>It is general fact that even after enormous expansion of wireless communication there are still dead regions that hampers the effective communication. With exponential rise in the smart phones, a new layer of communication has evolved that could address the concerns of dead regions and capacity barriers. D2D is the evolving communication technology which focuses on short distance hops between the public devices to reach the destination. The major drawback of this technology is that most of the devices are public hence trustworthiness of the entire channel needs to be addressed in order to make it a viable solution. In this paper, we introduce a novel hybrid cryptographic approach that could address multiple eavesdroppers’ scenario. This approach incorporates both Huffman coding and Binary coding to enhance the crypto benefits for the information transmitted over D2D channel that consists of several public devices. The dual-crypto nature of the proposed algorithm offers higher efficiency, better security and improved key transmission. Thus, the proposed hybrid cryptographic approach is robust in nature while easy and simple to operate. In addition, the proposed approach could recover the original information without any distortion from the encrypted data making the approach lossless in nature. Further simulation results prove that the proposed offers confidentiality to the transmitted to data while addressing the network capacity crunch.</p>
Performance Enhancement of TCP Friendly Rate Control Protocol over Wired networks
Authors: Reddy N. Ramanjaneya , Pakanati Chenna Reddy , Padmavathamma M. 
Published: March 2017

<p>One of the main aims of transport layer protocol is achieving best throughput without any congestion or reduced congestion. With rapid growing application needs and with increasing number of networks in Internet, there is a primary need to design new protocols to transport layer. To transmit multimedia applications, one of the suitable congestion control mechanisms in transport layer is TCP Friendly Rate Control Protocol (TFRC). It controls congestion based on its equation. However, every packet requires an acknowledgement in TFRC. It creates congestion in the network when the transmitted data is very large, which results in reduced throughput. This paper aims to increase the throughput when the transmitted data is large with minimal congestion by reducing the number of acknowledgements in the network. We modified some fixed parameters in the TFRC equation. The results show the increased throughput with minimal congestion.</p>
Face Detection in a Mixed-Subject Document
Authors: Bouhou Lhoussaine , El Ayachi Rachid , Baslam Mohamed , Oukessou Mohamed 
Published: March 2017

<p>Before you recognize anyone, it is essential to identify various characteristics variations from one person to another. among of this characteristics, we have those relating to the face. Nowadays the detection of skin regions in an image has become an important research topic for the location of a face in the image. In this research study, unlike previous research studies related to this topic which have focused on images inputs data faces, we are more interested to the fields face detection in mixed-subject documents (text + images). The face detection system developed is based on the hybrid method to distinguish two categories of objects from the mixed document. The first category is all that is text or images containing figures having no skin color, and the second category is any figure with the same color as the skin. In the second phase the detection system is based on Template Matching method to distinguish among the figures of the second category only those that contain faces to detect them. To validate this study, the system developed is tested on the various documents which including text and image.</p>
Rossby Wave Breaking and Transient Eddy Forcing during Euro-Atlantic Circulation Regimes
Authors: Swenson Erik T. , Straus David M. 
Published: March 2017

Abstract
The occurrence of boreal winter Rossby wave breaking (RWB) along with the quantitative role of synoptic transient eddy momentum and heat fluxes directly associated with RWB are examined during the development of Euro-Atlantic circulation regimes using ERA-Interim. Results are compared to those from seasonal reforecasts made using the Integrated Forecast System model of ECWMF coupled to the NEMO ocean model. The development of both Scandinavian blocking and the Atlantic ridge is directly coincident with anticyclonic wave breaking (AWB); however, the associated transient eddy fluxes do not contribute to (and, in fact, oppose) ridge growth, as indicated by the local Eliassen–Palm (EP) flux divergence. Evidently, other factors drive development, and it appears that wave breaking assists more with ridge decay. The growth of the North Atlantic Oscillation (NAO) in its positive phase is independent of RWB in the western Atlantic but strongly linked to AWB farther downstream. During AWB, the equatorward flux of cold air at upper levels contributes to a westerly tendency just as much as the poleward flux of momentum. The growth of the negative phase of the NAO is almost entirely related to cyclonic wave breaking (CWB), during which equatorward momentum flux dominates at jet level, yet low-level heat fluxes dominate below. The reforecasts yield realistic frequencies of CWB and AWB during different regimes, as well as realistic estimates of their roles during development. However, a slightly weaker role of RWB is simulated, generally consistent with a weaker anomalous circulation.
Sequential Factor Separation for the Analysis of Numerical Model Simulations
Authors: Schär Christoph , Kröner Nico 
Published: March 2017

Abstract
Models are attractive tools to deepen the understanding of atmospheric and climate processes. In practice, such investigations often involve numerical experiments that switch on or off individual factors (such as latent heating, nonlinear coupling, or some climate forcing). However, as in general many factors can be considered, the analysis of these experiments is far from straightforward. In particular, as pointed out in an influential study on factor separation by Stein and Alpert, the analysis will often require the consideration of nonlinear interaction terms.
In the current paper an alternative factor separation methodology is proposed and analyzed. Unlike the classical method, sequential factor separation (SFS) does not involve the derivation of the interaction terms but, rather, provides some uncertainty measure that addresses the quality of the separation. The main advantage of the proposed methodology is that in the case of n factors it merely requires 2n simulations (rather than 2n for the classical analysis). The paper provides an outline of the methodology, a detailed mathematical analysis, and a theoretical intercomparison against the classical methodology. In addition, an example and an intercomparison using regional climate model experiments with n = 3 factors are presented. The results relate to the Mediterranean amplification and demonstrate that—at least in the particular example considered—the two methodologies yield almost identical results and that the SFS is rather insensitive with respect to design choices.
Potential Vorticity Perspective of Vortex Structure Changes of Tropical Cyclone Bilis (2006) during a Heavy Rain Event following Landfall
Authors: Deng Difei , Davidson Noel E. , Hu Liang , Tory Kevin J. , Hankinson Mai C. N. , Gao Shouting 
Published: March 2017

Abstract
Tropical Cyclone (TC) Bilis made landfall on the China coast at 0500 UTC 14 July 2006. Following the landfall, sudden and unforecast torrential rain commenced some 400 km southwest of the weakening circulation center at around 1200 UTC 14 July 2006. At least 843 people were killed and the direct economic loss was estimated at up to $5 billion (U.S. dollars) in this event.
Prior to the rain event, as the environmental fields evolved, the vertical vorticity weakened and deformation increased around Bilis’s circulation. It is illustrated that a strong gradient wind imbalance (GWI) through midlevels became established over the northwestern quadrant of Bilis, from which a large quantity of air with high potential vorticity (PV) was redistributed from the inner circulation to the outer radii. Both backward and forward Lagrangian trajectories show this redistribution as an outward bulge of midlevel PV toward the rainfall areas. The transport of midlevel PV from inner to outer radii provides a dynamical reason for the rapid decline in rainfall around Bilis’s center. It is also associated with large differential horizontal PV advection below 400 hPa over the rainfall area. Diagnostic analysis further demonstrates that the redistribution of high PV to over the rainfall areas is associated with a raising of the local isentropic surfaces and the formation of a cold dome in the mid- to lower troposphere. This is not only a direct lifting mechanism but also establishes favorable conditions for warm advection and ascent on the raised isentropic surfaces. These adiabatic ascent mechanisms are considered to have released conditional instability, resulting in broadscale convection and heavy rainfall.
Early Versus Delayed Motion After Rotator Cuff Repair: A Systematic Review of Overlapping Meta-analyses
Authors: Houck Darby A. , Kraeutler Matthew J. , Schuette Hayden B. , McCarty Eric C. , Bravman Jonathan T. 
Published: March 2017

Background:Previous meta-analyses have been conducted to compare outcomes of early versus delayed motion after rotator cuff repair.Purpose:To conduct a systematic review of overlapping meta-analyses comparing early versus delayed motion rehabilitation protocols after rotator cuff repair to determine which meta-analyses provide the best available evidence.Study Design:Systematic review.Methods:A systematic review was performed by searching PubMed and Cochrane Library databases. Search terms included “rotator cuff repair,” “early passive motion,” “immobilization,” “rehabilitation protocol,” and “meta-analysis.” Results were reviewed to determine study eligibility. Patient outcomes and structural healing were extracted from these meta-analyses. Meta-analysis quality was assessed using the Oxman-Guyatt and Quality of Reporting of Meta-analyses (QUOROM) systems. The Jadad decision algorithm was then used to determine which meta-analyses provided the best level of evidence.Results:Seven meta-analyses containing a total of 5896 patients met the eligibility criteria (1 Level I evidence, 4 Level II evidence, 2 Level III evidence). None of these meta-analyses found immobilization to be superior to early motion; however, most studies suggested that early motion would increase range of motion (ROM), thereby reducing time of recovery. Three of these studies suggested that tear size contributed to the choice of rehabilitation to ensure proper healing of the shoulder. A study by Chan et al in 2014 received the highest QUOROM and Oxman-Guyatt scores, and therefore this meta-analysis appeared to have the highest level of evidence. Additionally, a study by Riboh and Garrigues in 2014 was selected as the highest quality study in this systematic review according to the Jadad decision algorithm.Conclusion:The current, best available evidence suggests that early motion improves ROM after rotator cuff repair but increases the risk of rotator cuff retear. Lower quality meta-analyses indicate that tear size may provide a better strategy in determining the correct rehabilitation protocol.
A five consecutive years’ study of renal function outcome among biopsy proven lupus nephritis patients in Southern Iran
Authors: Pakfetrat M , Malekmakan L , Kamranpour M , Tadayon T 
Published: March 2017

Introduction Lupus nephritis (LN) is one of the most common complications of systemic lupus erythematous (SLE) responsible for an increase in mortality and morbidity. This study was conducted to evaluate the outcome for LN patients and factors that correlate with their outcome. Materials and methods We included 80 patients with proved LN and more than three-years follow up at Shiraz University of Medical Sciences. We prepared a data gathering sheet for each patient and extracted the data from patients’ file records which existed in the hospital. Results The mean age of patients was 36.6 ± 10.6 years, and 88.3% of patients were women. Men develop remission less than women (three men (33.3%) vs 49 women (72.1%), p = 0.014). Chronic kidney disease (GFR < 60) developed in 14.2% of our patients, and 7.8% progressed to end stage renal disease (ESRD). We found a significant relation between initial creatinine (Cr), GFR, and urine 24 hour protein with developing ESRD ( p = 0.002, 0.039, < 0.001, respectively). Also we found that hypertensive patients are at risk of developing ESRD 0.4 times more than normotensive patients ( p = 0.047, CI: 0.131–0.985). Lack of remission was significantly associated with ESRD progression ( p = 0.025). Conclusion There is a strong agreement among studies that initial Cr, hypertension and lack of remission are associated with poor outcome in LN patients. As a result we must observe hypertensive patients and patients with increased Cr more carefully. Also, we should consider changing treatment in patients who do not develop remission. In spite of dominancy of women in SLE, men are likely to have poorer outcomes.