bluuebunny/crossref_metadata_2025_split huggingface dataset:
Аutѳmаtіϲ generаtіѳn cѳntrol bаѕẹԁ wһale орtimіzatіѳn αlgorithm
Authors: Al-Din Abed Wisam Najm , Imran Omar A. , Fatah Ibrahim S. 
Published: October 2019

In the designing and operation of interconnected power systems, automatic-generation-control (AGC) represent an important topic. AGC is responsible for maintaining the balance between generation side and load side via controlling the frequency and active power interchange. A new metaheuristic strategy is proposed in this work for optimal controller tuning in AGC system. Ԝһale Орtimіzatіоn Αlgorithm(WOA) is proposed for optimal tuning of reset integral controller. T he proposed strategy is used for optimal AGC in two-areas interconnected-power system. The proposed tuning strategy is compared with other new metaheuristic optimization strategy termed as Harmony Search (HS). The two-area interconnected power system are simulated based MATLAB-toolbox. From results obtained, it is obvious that, the system transient and steady-state behavior are enhanced greatly under the same conditions. This is due to the use of the proposed optimization technique. The proposed technique has an advanced and superior feature like, local optimum avoiding, fast convergence ability, and lower search agents and iteration are required. All mentioned features, make this strategy optimal for various optimization problems.
Extended family of DC-DC Quasi-Z-Source converters
Authors: Ado Muhammad , Jusoh Awang , Sutikno Tole 
Published: October 2019

The family of DC-DC q-ZSCs is extended from two to three classes and four to six members. All the members were analyzed based on efficient duty ratio range (R<sub>Deff</sub>) and general duty ratio range (R<sub>Dgen</sub>). Findings showed that similar to the traditional buck-boost converter (BBC), each of the topologies is theoretically capable of inverted buck-boost (BB) operation for the R<sub>Dgen</sub> with additional advantages but differed according to class in how the gains are achieved. The new topologies have advantages of BB capability at the R<sub>Deff</sub>, continuous and operable duty ratio range with unity gain at contrary to existing topologies where undefined or zero gain is produced. Potential applications of each class were discussed with suitable topologies for applications such as fuel cells, photovoltaic, uninterruptible power supply (UPS), hybrid energy storage and load levelling systems identified.
Optimizing the performance of photovoltaic cells IBC (contact back interdigitated) by numerical simulation
Authors: Benadla Nadjat , Ghaffour Kheireddine 
Published: October 2019

<p>Solar energy is the most widely shared and abundant source all over the world. This kind of energy is exploited to produce electricity directly by the solar photovoltaic cell. Indeed, silicon photovoltaic cells are the most widely spread technology. In the present article, we reported a numerical simulation of the interdigitated back contact (IBC) solar cell in order to obtain a higher conversion efficiency. The structure was realized on a p-type multi-crystalline silicon substrate, a p+ type amorphous silicon FSF, an n- type amorphous silicon based emitter, and a p- type BSF. The position of the emitter and the BSF were interdigitated and covered with ohmic contacts. The numerical simulation was carried out by SILVACO software under the Atlas module. The surface of structure was of a value of 10 cm<sup>2</sup> under illumination AM1.5g. We studied the effect of the geometrical and the physical parameters of the structure with IBC on the performance of the cell. The optimum obtained conversion efficiency was 20.83%; this result confirms the potential of the heterojunction silicon technology.</p>
Optimal controllers design for voltage control in Off-grid hybrid power system
Authors: Anantwar Harsha , Sundar Shanmukha , Laksmikantha B. R. 
Published: October 2019

<p>Generally, for remote places extension of grid is uneconomical and difficult. Off-grid hybrid power systems (OGHPS) has renewable energy sources integrated with conventional sources. OGHPS is very significant as it is the only source of electric supply for remote areas. OGHPS under study has Induction generator (IG) for wind power generation, Photo-Voltaic source with inverter, Synchronous generator (SG) for Diesel Engine (DE) and load. Over-rated PV-inverter has capacity to supply reactive power. SG of DE has Automatic voltage regulator for excitation control to regulate terminal voltage. Load and IG demands reactive power, causes reactive power imbalance hence voltage fluctuations in OGHPS. To manage reactive power for voltage control, two control structures with Proportional–Integral controller(PI), to control inverter reactive power and SG excitation by automatic voltage regulator are incorporated. Improper tuning of controllers lead to oscillatory and sluggish response. Hence in this test system both controllers need to be tune optimally. This paper proposes novel intelligent computing algorithm , Enhanced Bacterial forging algorithm (EBFA) for optimal reactive power controller for voltage control in OGHPS. Small signal model of OGHPS with proposed controller is tested for different disturbances. simulation results are compared with conventional method , proved the effectiveness of EBFA.</p>
Active and reactive power flow management in parallel transmission lines using static series compensation (SSC) with energy storage
Authors: Suliman Mohammed Yahya 
Published: October 2019

<p>The power flow controlled in the electric power network is one of the main factors that affected the modern power systems development. The Static Series Compensatior with storage energy, is a FACTS powerful device that can control the active power flow control of multiple transmission lines branches. In this paper, a simulation model of power control using static series compensator with parallel transmission lines is presented. The control system using adaptive neuro-fuzzy logic is proposed. The results show the ability of static series compensator with storage energy to control the flow of powers components "active and reactive power" in the controlled line and thus the overall power regulated between lines. </p>
DC-AC power inverter controlled analogically with zero hysteresis
Authors: Hoyos Velasco Fredy E. , Hoyos Velasco Carlos I. , Candelo-Becerra John E. 
Published: October 2019

This paper presents the design and experimental validation of a DC-AC power inverter, controlled analogically with zero hysteresis. A control circuit was built using analog electronics components, and optocoupler devices are used to couple the control module with the power stage. The design of DC-AC inverter with electronics circuit and implementation are shown in detail. Experimental results show the effectiveness of control technique and implementation, leading to a robust system concerning load disturbances. The developed inverter offers the possibility of generating regulated output voltages of different signal types, both DC and AC, variable in frequency and in amplitude, useful for feeding a load with various AC signals.
IOT based application for monitoring electricity power consumption in home appliances
Authors: Luechaphonthara Korakot , A Vijayalakshmi 
Published: October 2019

<p><span lang="EN">Internet of Things is one of the emerging techniques that help in bridging the gap between the physical and cyber world. In the Internet of Things, the different smart objects connected, communicate with each other, data is gathered from the smart objects and based on the need of the users, and the data gathered are queried and sent back to the user. IoT helps in monitoring electrical and physical parameters. Electricity consumption from electronic devices is one among such parameters that need to be monitored. The development of energy efficient schemes for the IoT is a challenging issue as the IoT becomes more complex due to its large scale the current techniques of wireless sensor networks cannot be applied directly to the IoT. To achieve the green networked IoT, this paper proposes a Wi-Fi enabled simple low cost electricity monitoring device that can monitor the electricity consumption on home appliances which helps to analyses the consumption of electricity on a daily and weekly basis. </span></p>
A Graph-based approach for text query expansion using pseudo relevance feedback and association rules mining
Authors: Jabri Siham , Dahbi Azzeddine , Gadi Taoufiq 
Published: October 2019

Pseudo-relevance feedback is a query expansion approach whose terms are selected from a set of top ranked retrieved documents in response to the original query. However, the selected terms will not be related to the query if the top retrieved documents are irrelevant. As a result, retrieval performance for the expanded query is not improved, compared to the original one. This paper suggests the use of documents selected using Pseudo Relevance Feedback for generating association rules. Thus, an algorithm based on dominance relations is applied. Then the strong correlations between query and other terms are detected, and an oriented and weighted graph called Pseudo-Graph Feedback is constructed. This graph serves for expanding original queries by terms related semantically and selected by the user. The results of the experiments on Text Retrieval Conference (TREC) collection are very significant, and best results are achieved by the proposed approach compared to both the baseline system and an existing technique.
Torque improvement of PM motor with semi-cycle stator design using 2D-finite element analysis
Authors: C. Kwang T. , Mohd Jamil Mohd Luqman , Jidin Auzani 
Published: October 2019

This paper presents sizing approaches to improve output torque performance in PM motor when partial stator body is removed. As the output torque performance is directly proportional to the electric loading, Q, modification on stator geometry affects the output torque performance and special procedures have to be taken to restore the desired output torque capability. Influences of split ratio, tooth body width, airgap and magnet thickness of magnet in PM motor with asymmetry stator design are carried out and the performance verification are referred to the back-emf, average output torque, torque ripple as well as cogging torque. From the investigation using 2D-Finite Element Analysis, optimum size of tooth body width and optimum number of coil turns result better output torque while other sizing approaches result no significant change as quick saturation took place.
Decentralized collaborative TTP free approach for privacy preservation in location based services
Authors: Rathod Ajaysinh Devendrasinh , Shah Saurabh , Jariwala Vivaksha J. 
Published: October 2019

In recent trends, growth of location based services have been increased due to the large usage of cell phones, personal digital assistant and other devices like location based navigation, emergency services, location based social networking, location based advertisement, etc. Users are provided with important information based on location to the service provider that results the compromise with their personal information like user’s identity, location privacy etc. To achieve location privacy of the user, cryptographic technique is one of the best technique which gives assurance. Location based services are classified as Trusted Third Party (TTP) &amp; without Trusted Third Party that uses cryptographic approaches. TTP free is one of the prominent approach in which it uses peer-to-peer model. In this approach, important users mutually connect with each other to form a network to work without the use of any person/server. There are many existing approaches in literature for privacy preserving location based services, but their solutions are at high cost or not supporting scalability. In this paper, our aim is to propose an approach along with algorithms that will help the location based services (LBS) users to provide location privacy with minimum cost and improve scalability.
Assessing the intelligence of a student through TIC-TAC-TOE game for career guidance
Authors: Jammalamadaka Sastry Kodanda Rama , Vudatha Chandra Prakash 
Published: October 2019

In order to provide Career Guidance by an expert system to a student, apart from his/her academic record, it is necessary to assess various psychological factors of the student like Intelligence, patience and perseverance, Learning ability and Speed of solving problem, etc. The outcome of this research work is an expert system called Tic-Tac-Toe Game Playing Career Guidance System (TTT-GP-CGS) that is useful to assess the psychological factors of the student through Tic-Tac-Toe Game Playing, build the cognitive model of the student and predict the appropriate career(s) for the student. The system plays Tic-Tac-Toe game with the student several times. The average score obtained by the student reflects his/her intelligence. The average time taken by the student for playing the game reflects student's speed of solving problem. The number of attempts the student makes reflects the students patience and perseverance. When the student plays the game with the spaystem every day, if the student's score increases day by day, it reflects that the student has good learning ability. In this way the system will assess the psychological factors of the student and builds the cognitive model of the student. Internally the system converts the quantitative scores into qualitative scores. The system maintains a table of careers and the expected levels of psychological factors that are required from student's side to carry out the career successfully. The system invokes a matching process by considering the cognitive model of the student and the table of careers, and predicts the career(s) suitable to the student.
Afastamento laboral de gestantes aeronautas no Brasil
Authors: Oliveira Maria Carolina Barra de , Gianvecchio Daniele Muñoz , Gianvecchio Víctor , Muñoz Daniel 
Published: October 2019

Resumo: Restrições médicas ao trabalho das mulheres aeronautas no período gestacional são estabelecidas no mundo todo. No Brasil, mudanças recentes na avaliação médico pericial dessas profissionais geraram conflitos entre as partes envolvidas e colocaram o assunto em voga. O presente estudo tem por finalidade apresentar o cenário atual que envolve o afastamento laboral das gestantes aeronautas no Brasil. Desenvolvimento: Os aeronautas no Brasil possuem uma regulamentação própria desenvolvida pela Agência Nacional da Aviação Civil (ANAC) que considera como inapta a gestante a partir do momento do diagnóstico da gravidez. Esta legislação era levada em conta nas perícias realizadas pelas Juntas Mistas do Instituto Nacional do Seguro Social (INSS), que deferiam benefício auxílio-doença nesses casos. Contudo, a partir de maio de 2017 esses profissionais passaram a ser avaliados como os demais segurados do Regime Geral de Previdência Social (RGPS), e, por isso, as gestantes começaram a ter seus benefícios indeferidos, ficando no chamado limbo trabalhista previdenciário. Após decisão judicial emitida em novembro de 2017, esta situação foi modificada e os mesmos pedidos voltaram a ser deferidos, mas agora somente com avaliação documental administrativa, ou seja, sem realização de perícia médica. Conclusão: Existe uma divergência entre as leis que regulamentam a aviação e as que regem a Previdência Social resolvida, até o momento, por decisão judicial após reivindicação do sindicato, a qual deferiu o pagamento de auxílio-doença por incapacidade para essas profissionais de forma administrativa, algo até então sem precedentes.
Distributed Patterns of Functional Connectivity Predict Working Memory Performance in Novel Healthy and Memory-impaired Individuals
Authors: Avery Emily W. , Yoo Kwangsun , Rosenberg Monica D. , Greene Abigail S. , Gao Siyuan , Na Duk L. , Scheinost Dustin , Constable Todd R. , Chun Marvin M. 
Published: October 2019

Abstract
Individual differences in working memory relate to performance differences in general cognitive ability. The neural bases of such individual differences, however, remain poorly understood. Here, using a data-driven technique known as connectome-based predictive modeling, we built models to predict individual working memory performance from whole-brain functional connectivity patterns. Using n-back or rest data from the Human Connectome Project, connectome-based predictive models significantly predicted novel individuals' 2-back accuracy. Model predictions also correlated with measures of fluid intelligence and, with less strength, sustained attention. Separate fluid intelligence models predicted working memory score, as did sustained attention models, again with less strength. Anatomical feature analysis revealed significant overlap between working memory and fluid intelligence models, particularly in utilization of prefrontal and parietal regions, and less overlap in predictive features between working memory and sustained attention models. Furthermore, showing the generality of these models, the working memory model developed from Human Connectome Project data generalized to predict memory in an independent data set of 157 older adults (mean age = 69 years; 48 healthy, 54 amnestic mild cognitive impairment, 55 Alzheimer disease). The present results demonstrate that distributed functional connectivity patterns predict individual variation in working memory capability across the adult life span, correlating with constructs including fluid intelligence and sustained attention.
The Human Medial Temporal Lobe Is Necessary for Remembering Durations within a Sequence of Events but Not Durations of Individual Events
Authors: Palombo Daniela J. , Reid Allison G. , Thavabalasingam Sathesan , Hunsberger Renée , Lee Andy C. H. , Verfaellie Mieke 
Published: October 2019

Abstract
Recent interest in the role of the hippocampus in temporal aspects of cognition has been fueled, in part, by the observation of “time” cells in the rodent hippocampus—that is, cells that have differential firing patterns depending on how long ago an event occurred. Such cells are thought to provide an internal representation of elapsed time. Yet, the hippocampus is not needed for processing temporal duration information per se, at least on the order of seconds, as evidenced by intact duration judgments in rodents and humans with hippocampal damage. Rather, it has been proposed that the hippocampus may be essential for coding higher order aspects of temporal mnemonic processing, such as those needed to temporally organize a sequence of events that form an episode. To examine whether (1) the hippocampus uses duration information in the service of establishing temporal relations among events and (2) its role in memory for duration is unique to sequences, we tested amnesic patients with medial-temporal lobe damage (including the hippocampus). We hypothesized that medial-temporal lobe damage should impair the ability to remember sequential duration information but leave intact judgments about duration devoid of a sequential demand. We found that amnesics were impaired in making judgments about durations within a sequence but not in judging single durations. This impairment was not due to higher cognitive load associated with duration judgments about sequences. In convergence with rodent and human fMRI work, these findings shed light on how time coding in the hippocampus may contribute to temporal cognition.
Perception of Rhythmic Speech Is Modulated by Focal Bilateral Transcranial Alternating Current Stimulation
Authors: Zoefel Benedikt , Allard Isobella , Anil Megha , Davis Matthew H. 
Published: October 2019

Abstract
Several recent studies have used transcranial alternating current stimulation (tACS) to demonstrate a causal role of neural oscillatory activity in speech processing. In particular, it has been shown that the ability to understand speech in a multi-speaker scenario or background noise depends on the timing of speech presentation relative to simultaneously applied tACS. However, it is possible that tACS did not change actual speech perception but rather auditory stream segregation. In this study, we tested whether the phase relation between tACS and the rhythm of degraded words, presented in silence, modulates word report accuracy. We found strong evidence for a tACS-induced modulation of speech perception, but only if the stimulation was applied bilaterally using ring electrodes (not for unilateral left hemisphere stimulation with square electrodes). These results were only obtained when data were analyzed using a statistical approach that was identified as optimal in a previous simulation study. The effect was driven by a phasic disruption of word report scores. Our results suggest a causal role of neural entrainment for speech perception and emphasize the importance of optimizing stimulation protocols and statistical approaches for brain stimulation research.
Scale-invariant Characteristics of Forgetting: Toward a Unifying Account of Hippocampal Forgetting across Short and Long Timescales
Authors: Sadeh Talya , Pertzov Yoni 
Published: October 2019

Abstract
After over 100 years of relative silence in the cognitive literature, recent advances in the study of the neural underpinnings of memory—specifically, the hippocampus—have led to a resurgence of interest in the topic of forgetting. This review draws a theoretically driven picture of the effects of time on forgetting of hippocampus-dependent memories. We review evidence indicating that time-dependent forgetting across short and long timescales is reflected in progressive degradation of hippocampal-dependent relational information. This evidence provides an important extension to a growing body of research accumulated in recent years, showing that—in contrast to the once prevailing view that the hippocampus is exclusively involved in memory and forgetting over long timescales—the role of the hippocampus also extends to memory and forgetting over short timescales. Thus, we maintain that similar rules govern not only remembering but also forgetting of hippocampus-dependent information over short and long timescales.
<p><strong><em>Agave garciaruizii</em></strong><strong> (Asparagaceae) a new species from the Chorros del Varal State Reserve in western Mexico</strong></p>
Authors: HERNÁNDEZ-VERA GERARDO , VÁZQUEZ-GARCÍA J. ANTONIO , PADILLA-LEPE JESÚS , NIEVES-HERNÁNDEZ GREGORIO 
Published: October 2019

A new species named Agave garciaruizii is described and illustrated here. A. garciaruizii is endemic to tropical dry forest in the Itzícuaro and Apupátaro river canyons in the Chorros del Varal State Reserve, at the southern border of the states of Jalisco and Michoacán, México. It belongs to the subgenus Littaea and to the Marginatae species group and is morphologically related to A. angustiarum and A. impressa, but differs from these species in some features of leaves, inflorescences and infructescences. Its conservation status was assessed as Endangered (EN). Additionally, morphological evidence was provided in support of A. arcedianoensis as a species distinct from A. angustiarum. A key to morphologically and geographically closely related species in the Marginatae group is presented.
<p><strong>Nomenclatural and taxonomic notes on <em>Carex lazarei</em> nom. nov. (Cyperaceae)</strong></p>
Authors: KOOPMAN JACOB , NIKETIĆ MARJAN , WIĘCŁAW HELENA , GOVAERTS RAFAËL 
Published: October 2019

Carex bulgarica (Domin) Lazare 1986 is a younger homonym of C. bulgarica Velen. 1889, the latter being validly published as an alternative name along with C. digitata var. bulgarica Velen. Therefore we publish here a replacement name, Carex lazarei, for the species previously called C. bulgarica by Lazare. Carex lazarei belongs to the C. sempervirens Vill. complex and its occurrence is restricted to acidophilous habitats of the Balkan mountains. Although it is often regarded as conspecific with C. sempervirens, we are of the view that this entity needs the status of species. A type specimen is designated here as the second-step lectotype of the name C. sempervirens var. bulgarica Domin.