bluuebunny/crossref_metadata_2025 huggingface dataset:
ALGORITHM OF SIGNAL PROCESSING IN THE RADAR SYSTEM WITH CONTINUOUS FREQUENCY MODULATED RADIATION FOR DETECTION OF SMALL-SIZED AERIAL OBJECTS, ESTIMATION OF THEIR RANGE AND VELOCITY
Authors: Kupryashkin I. F. , Sokolik N. V.
Published: March 2019

Nowadays the interest in search of ways of improving the efficiency of small radar cross-section aerial objects detection and localization rises against the background of widespread use of light and unmanned aerial vehi-cles. As a result, researchers pay attention to radar systems (RS) with continuous linear frequency modulation (linear FM) signal. The use of such signals gives the measurable opportunity to reduce radar system peak-speech power and to cut the cost and weightsize parameters of the RS. The paper observes low-power ground based radar implementation prospects for purposes of detection and estimation of motion rates of small-sized aerial objects. The proposed algorithm of radar signals processing enables to simplify the detection of such tar-gets. The paper reveals the structure and defines the steps of the algorithm. The fundamental for the algorithm under consideration is the method of the range-Doppler image composition of the scanned area using digital signal processing. The paper presents the results of the algorithm operation in the low-power RS of C-band radar, obtained by processing of quadrotor echo-signals during the real experiment. The results show successful solvation of the applied problem of detection and tracking on the small-sized aerial object with the radar cross-section equal to less than 0.5 m2 and the spectrum of secondary radiation characterized by the expressed multimodality. The results of the experiment validate the application of the algorithm and demonstrate the possibility of the algorithm implementation in design of portable RS and automated target acquisition centers for detecting and tracking of the small-sized aerial targets (both, single as multi agent) with the information display on operator control panel.
General Education Course Enrollment Patterns in a Community College Baccalaureate RN-To-BSN Program
Authors: Gregory Dennis , Krupp Jason , Williams Mitchell
Published: March 2019

This quantitative study utilizes ex post facto data to examine the graduation rates and time to degree of 240 students enrolled in a bachelor of science in nursing (BSN) program at a community college in Florida. The findings indicate that students who completed all general education requirements before entering the program were more likely to graduate in three years than students who completed some general education requirements after entering the program.
Addressing college access and success gaps in traditionally underrepresented populations: The North Carolina early college high school model
Authors: Roughton Dean
Published: March 2019

Most states now allow qualifying high school students to take college courses free, or at a reduced rate, while still enrolled in secondary education, saving students and their families tens of thousands of dollars. Increased access, however, has not necessarily led to increased student success in terms of academic achievement and completion rates, especially among students from traditionally underrepresented populations. Racial and ethnic minorities, first-generation students, and students from low socio-economic status (SES) families continue to have lower than average college completion rates. The North Carolina early college model, in particular, has demonstrated effectiveness in improving high school graduation rates and college readiness among traditionally underrepresented populations.
Relationships of coaching behaviors to student-athlete well- being
Authors: Roxas Adela S , Ridinger Lynn L
Published: March 2019

Research on the association between coaching behaviors and student-athlete well-being has revealed significant relationships among coaching behaviors and a range of outcomes including anxiety, burnout, self-confidence, college choice satisfaction, and willingness to cheat to win. Findings from multiple studies suggested the need for improvements in coaching education. Overall, this review of extant literature suggested the need for additional research and empirically supported practices for coach and athlete development that support well-being.
Academic dishonesty: An international student perspective
Authors: Simpson Denise
Published: March 2019

Academic dishonesty is a long-standing issue for faculty and administrators, yet the concern over dishonesty among international students is growing. With the changing demographics of higher education, faculty and administrators must revisit how campus policies and procedures serve all students’ needs, but especially international students, as it relates to academic dishonesty. This article explores academic dishonesty from an international student context and provides suggestions for facilitating a campus culture of academic integrity.
The role of online faculty in supporting successful online learning enterprises: A literature review
Authors: Dhilla Sarah J
Published: March 2019

This review examines research regarding instructors’ perceptions of the online teaching experience and explores ways in which university administrators can better support online faculty as their institutional online learning enterprises grow. The following sections examine how the growth in online education has led to increased interest in the experiences of online faculty. An examination of these issues illuminates many of the unacknowledged external factors that have a subtle, but strong influence on online instructors and their experiences in the virtual learning environment.
Performance Management and Bank Profitability in Nigeria
Authors: Nnah Ugoani John Nkeobuna
Published: March 2019

Performance management ensures that the contributions of organizational members are directed toward growth and profitability. Although performance objectives are set at the beginning of the financial year, the achievement of such critical objectives rests on robust performance management. This embraces management action toward key FPIs such as gross earnings, ROA, ROE, NIM, among others that help in driving bank profitability. The exploratory research design was used for the study. Data were analyzed through descriptive and regression statistical methods and it was found that performance management has positive correlation with bank profitability. Based on the result of the study, it was recommended that banks should always check performance to ensure profitability.
Dinámicas de la discapacidad pensadas desde el lugar de las familias y/o cuidadoras/es : experiencias como eje de reflexión para la inclusión.
Authors: Menco Cadena Angie Paola , Cantor Rueda Diana Paola
Published: March 2019

El presente documento pretende traer a discusión las dinámicas de las personas con discapacidad en su entorno familiar dirigido al papel de las cuidadoras y los cuidadores, instalando como referente la normativa que respalda y garantiza los derechos de dicha población. De acuerdo al planteamiento teórico, se realiza una aproximación a las realidades vividas por las personas con discapacidad, abordando casos específicos en lo comunitario y en lo organizacional, ello sugiere la necesidad de abordar aspectos cotidianos en los que se desenvuelven las personas para dar cuenta de cómo se vive la discapacidad. Además, se analizan las apuestas que se llevan a cabo en el Trabajo Social frente a la articulación de organismos, instituciones y sociedad para propiciar el fortalecimiento de las relaciones interpersonales de las personas con discapacidad, atendiendo a la socialización directa con su familia y su entorno. Por último, se evidencia que las experiencias en el marco de otra mirada de la discapacidad albergan la labor de las/os cuidadoras/es en el desarrollo personal y social de las personas con discapacidad; no obstante, este cuidado tiende a sobreponer la vida de la persona con discapacidad sobre las expectativas personales, sueños, deseos, necesidades, temores y aspiraciones de las/os cuidadoras/es.
Modelos computacionales y análisis de la política económica en Colombia.
Authors: Escobar Espinoza Andrés , Guevara Castañeda Diego Alejandro , Uribe Veloza Miguel Andrés
Published: March 2019

Este artículo presenta una breve revisión de los modelos computacionales macroeconómicos que se han utilizado en Colombia y sus principales características. Primero, se realiza una revisión de los principales modelos de Equilibrio General Computable (EGC) implementados para el análisis de la política económica identificando sus principales características teóricas. Adicionalmente, se revisan algunos modelos de Equilibrio General Dinámico Estocástico desarrollados en Colombia. Posteriormente, se presenta el enfoque de los modelos Post-Keynesianos Stock-Flujo Consistentes (SFC), identificando algunas diferencias y puntos relevantes respecto a los modelos anteriores. De esta forma, se busca mostrar la pertinencia de utilizar modelos macroeconomicos de corte heterodoxo como herramienta adicional para examinar de manera lógica y coherente las interrelaciones de los sectores real y financiero, además de resaltar su importancia para establecer e identificar aquellos procesos insostenibles que pueden generar periodos de crisis y cambios estructurales no deseados en las economías.
PENGARUH PIJAT PERINEUM PADA KEHAMILAN TRIMESTER III TERHADAP ROBEKAN PERINEUM PRIMIGRAVIDA DI PUSKESMAS JAGIR SURABAYA
Authors: Anggraini Fritria Dwi , Anggasari Yasi
Published: March 2019

Abstract                : Perineal rupture may occur spontaneously (ruptured) or deliberately (episiotomy). An attempt to Flex the perineum perineum massage among others who haven't performed in clinics jagir. The objective of this research was to find out the effect of perineal massage during the third trimester of pregnancy on the prevention of primigravida perineal rupture in Community Health Center in Jagir -Surabaya. The research design was Quasi-experimental with post-test only group model. The population was all pregnant mothers - of primigravida physiologic category of the third trimester - who delivered at Community Health Center in Jagir Surabaya with its sample of 20 respondents, that is, 10 respondents of the treatment group and 10 respondents of the control group. The independent variable was perineal massage, and the dependent variable was perineal rupture. The data collection was carried out using SOP and partographic sheet / medical record. The data were analyzed by Mann Whintney test with α = 0.05. The Result of the research showed that almost all respondents (80.0%) did not experience perineal rupture in treatmen group and most (60.0%) of those respondents experiencing torn perineum were suffering from perineal tear in control group. The result of the statistic test using Mann Whitney showed p = 0.001 <α = 0.05, then Ho was refused, meaning there was effect of perineal massage during the third trimester pregnancy on the prevention of primigravida perineal rupture at Community Health Center in ​​Jagir surabaya. Respondents who do the massage the perineum almost everything does happen rips therefore massage the perineum can Flex the perineum so as not happening rips the perineum. Therefore it was suggested that the health workers encourage the pregnant mothers to have perineal massage treatment during theperiod of maternity preparation.
Using Four-Level NSVM Technique to Improve DVC Control of a DFIG Based Wind Turbine Systems
Authors: Benbouhenni Habib , Boudjema Zinelaabidine , Belaidi Abdelkader
Published: March 2019

Traditional direct vector control (DVC) compositions which consist of proportional-integral (PI) regulators of a doubly fed induction generator (DFIG) driven have several disadvantages such as parameter variation problem, low dynamic performances and poor robustness. Therefore, based on examination of the DFIG model supplied by new modulation method, this work addresses a four-level space vector modulation (SVM) based on neural networks (NSVM). The conventional DVC control with SVM strategy has large ripples on the electromagnetic torque, harmonic distortion of rotor current, stator reactive and active powers developed by the DFIG-based wind turbine systems (WTSs). In order to resolve these problems, the DVC technique with NSVM strategy is proposed. Simulation results show the effectiveness of the proposed control technique especially in electromagnetic torque, power ripples and robustness against parameters variations.
PRESENT ALTERNATIVE STUDY METHODS USED IN PRODUCT SAFETY ASSESSMENT
Authors: Zaritskaya E V , Polozova E V , Shilov V V , Bogacheva A S
Published: March 2019

Alternative toxicological methods used in Russia to assess safety of food and non-food products have been reviewed. Along with traditional toxicological methods of monitoring various alternative toxicological study techniques are used to assess product safety. Those are methods using biological test-objects, so-called biological test methods, or in vitro methods which are allowed to be used from the legislative viewpoint. Alternative toxicological methods are based on risk degree assessment of the studied object by response of living organisms (test-objects) to adverse factor exposure. Information resulting from applied bio-testing methods represents combined toxic effect of all toxicants present in the given medium and their simultaneous presence. When assessing product safety by toxicological indices using alternative biological models, general toxic and irritating effects are to be studied and the test-objects are cattle semen, luminescent bacteria, chick egg chorioallantoic membrane, human and animal cell cultures and isolated organs. In vitro methods with cattle semen and luminescent bacteria playing the role of test-objects are also used to assess alcohol product toxicity, in particular spirits and vodkas. Thus, alternative study methods are widely known and commonly used in practice to prove safety of consumer goods and alcohol-containing foodstuffs.
FEASIBILITY STUDY OF GROUP ESTIMATION OF THERMAL COMFORT USING FANGER’S THEORY APPLIED TO PEOPLE WITH DIFFERENT WORKING CAPABILITIES
Authors: Huseynova M V
Published: March 2019

The paper presents a possibility to use an averaged integrated estimation of thermal comfort using Fanger's theory applied to people with different working capabilities. Taking into account the fact that Fanger's concept of thermal comfort is based on linear association between parameters in was concluded that utilization of averaged integrated estimate for people with different working capabilities for group estimation of temperature comfort is possible.
THE IMPLEMENTATION OF TECHNICAL INTEROPERABILITY MODELS IN LARAS VERSION 1.0 DIGITAL LIBRARY APPLICATIONS:A CASE STUDY IN THE CENTER FOR SCIENTIFIC DOCUMENTATION AND INFORMATION – INDONESIAN INSTITUTE OF SCIENCES
Authors: Hendrawan Muhammad Rosyihan
Published: March 2019

This study aims to find out models implementation of the technical interoperability applied and developed on the Digital Library Applications of the Library and Archive Analysis System version 1.0 (LARAS v 1.0) by the Center for Scientific Documentation and Information-Indonesian Institute of Sciences (PDII-LIPI). The other goal of this study is to determine why PDII-LIPI tries to develop LARAS v 1.0 and has changed the previous application of WINISIS. This study was done by using a case study method with qualitative approach. Data was collected by documents analyses and in-depth interviews. This result of the study shows that LARAS v 1.0 was created by developers at PDII-LIPI to avoid the obsolescence of information and technology communication (ITC), in this case, is the digital library application. In fact, the conflicts between the developers and the librarians in developing LARAS v 1.0 still exist. Models implementation of technical interoperability applied to LARAS is a combination of several levels of Level of Information System Interoperability (LISI) model. Nevertheless, in practice, LARAS v 1.0 is still not perfect, especially from the point of view of system development of metadata, encoding, communication protocol, databases, and indexing.
POTENSI LULUSAN PROGRAM STUDI ILMU PERPUSTAKAAN SEBAGAI PENDAMPING PENGEMBANGAN PEMBERDAYAAN KELUARGA
Authors: Elnumeri Farli , Amelia Sandra
Published: March 2019

This research has purposed to see the opportunities of developing information services for the public with zero budgets available to deploy professionals. When the capability of library science graduate has questioned; especially for providing information services that require by the society and about the dedication they have to actively support family empowering program through “Pos Pemberdayaan Keluarga/Posdaya” (Family Empowering Centre). This research will describe the strategy and action undertakes to achieve the effectiveness of information services given towards society information needs. This research has applied exploratory methods that rely on researcher observation towards the object, as mentioned is “Pos Pemberdayaan Keluarga”. The library has been built as local awareness and initiatives. The usefulness of “Pos Pemberdayaan Keluarga” could be indicated through the library achievement towards the target program. Librarian or library science graduate who involved in “Pos Pemberdayaan Keluarga” has developed information in some range of services such as reference services. It includes the development of information re-packaging, Pathfinder, training and workshop and holding some sharing session for society. Furthermore, the librarian or library science graduate aimed to have the ability to responding to community needs as well as develop the library through a government program and capability development.
The Comparison of Civil Procedure and Industrial Relations Courtprocedure
Authors: PN Sugeng Santoso
Published: March 2019

The Industrial relations dispute which is resolved through the Industrial Relations Court puts the workers/laborers against the employers and bases their formal source of law on the Article 57 of Law No. 2/2004 which basically uses the civil procedure except under special regulation. The analysis in this study shows that the implementation of civil procedure actually contravenes the labor law. The characteristics of the Industrial Relations Court procedure differs from the civil procedure.
Charge-Line Dual-FET High-Repetition-Rate Pulsed Laser Driver
Authors: Żbik Mateusz , Wieczorek Piotr Zbigniew
Published: March 2019

Most modern pulsed laser systems require versatile laser diode drivers. A state-of-the-art pulsed laser driver should provide precise peak power regulation, high repetition rate, and pulse duration control. A new, charge line dual-FET transistor circuit structure was developed to provide all these features. The pulsed modulation current is adjustable up to Imax = 1.2 A, with the laser diode forward voltage acceptable up to UF max = 20 V. The maximum repetition rate is limited by a charge line circuit to frep max = 20 MHz. Compared to the conventional single transistor drivers, the solution proposed in this paper allows a precise, high resolution width regulation to be obtained, whereas a low pulse jitter is ensured. In the solution, two separate, out-of-phase signals are used to trigger the individual Field Effect Transistors (FET). The resultant pulsed modulation current full-width-at-half-maxima (FWHM) is regulated from ~200 ps up to 2 ns. All control and timing signals are generated with a popular Field-Programmable Gate Array (FPGA) digital circuitry. The use of standard FPGA devices ensures the low cost and high reliability of the circuit, which are not available in laser drivers consisting of sophisticated analogue adjustable delay circuits.
Naomi Kawase’s “Cinema of Place”
Authors: Schoneveld Erin
Published: March 2019

This article evaluates contemporary filmmaker Naomi Kawase’s (b. 1969–) status within Japan’s film industry as well as her place among women directors. Using Kawase’s three award winning features Suzaku (Moe no suzaku, 1997), Shara (Sharasōju, 2003), and Mogari (Mogari no mori, 2007) as the basis of my analysis, I examine the way in which these films illuminate the construction of Kawase’s female authorship in relation to a specific location. While Kawase has made a number of critically and commercially successful films since 2007, I limit my discussion to her early narrative works set in Nara, Japan in order to illuminate the significance of the international film festival apparatus in establishing and upholding the discourse of auteurism in relation to regional identity. Through my analysis I argue that Kawase successfully negotiates this discourse through a strategy of self-promotion that emphasizes a “cinema of place” within the broader context of international film festivals such as Cannes. Kawase’s “cinema of place” ultimately allows her to rearticulate the meaning of female authorship within an art cinema context by representing a new national cinema that challenges the structures and boundaries of Japan’s studio system.
Mining Temporal Patterns to Discover Inter-Appliance Associations Using Smart Meter Data
Authors: Osama Sarah , Alfonse Marco , M. Salem Abdel-Badeeh
Published: March 2019

With the emergence of the smart grid environment, smart meters are considered one of the main key enablers for developing energy management solutions in residential home premises. Power consumption in the residential sector is affected by the behavior of home residents through using their home appliances. Respecting such behavior and preferences is essential for developing demand response programs. The main contribution of this paper is to discover the association between appliances’ usage through mining temporal association rules in addition to applying the temporal clustering technique for grouping appliances with similar usage at a particular time. The proposed method is applied on a time-series dataset, which is the United Kingdom Domestic Appliance-Level Electricity (UK-DALE), and the results that are achieved discovered appliance–appliance associations that have similar usage patterns with respect to the 24 h of the day.
Pheochromocytomas and Paragangliomas: From Genetic Diversity to Targeted Therapies
Authors: Pang Ying , Liu Yang , Pacak Karel , Yang Chunzhang
Published: March 2019

Pheochromocytoma and paraganglioma (PCPGs) are rare neuroendocrine tumors that arise from the chromaffin tissue of adrenal medulla and sympathetic ganglia. Although metastatic PCPGs account for only 10% of clinical cases, morbidity and mortality are high because of the uncontrollable mass effect and catecholamine level generated by these tumors. Despite our expanding knowledge of PCPG genetics, the clinical options to effectively suppress PCPG progression remain limited. Several recent translational studies revealed that PCPGs with different molecular subtypes exhibit distinctive oncogenic pathways and spectrum of therapy resistance. This suggests that therapeutics can be adjusted based on the signature molecular and metabolic pathways of PCPGs. In this review, we summarized the latest findings on PCPG genetics, novel therapeutic targets, and perspectives for future personalized medicine.
Interventional Techniques for the Management of Cancer-Related Pain: Clinical and Critical Aspects
Authors: Kurita Geana , Sjøgren Per , Klepstad Pål , Mercadante Sebastiano
Published: March 2019

Interventional techniques to manage cancer-related pain may be efficient treatment modalities in patients unresponsive or unable to tolerate systemic opioids. However, indication and selection of the right technique demand knowledge, which is still incipient among clinicians. The present article summarizes the current evidence regarding the five most essential groups of interventional techniques to treat cancer-related pain: Neuraxial analgesia, minimally invasive procedures for vertebral pain, sympathetic blocks for abdominal cancer pain, peripheral nerve blocks, and percutaneous cordotomy. Furthermore, indication, mechanism, drug agents, contraindications, and complications of the main techniques of each group are discussed.
Correction: Pasin et al. On the Activity Enhancing Role of Iron Oxide for Noble Metal Oxidation Catalysts: A CVD-Based Study with Differently Structured Combinations of Pt and FeOx Coatings on Al2O3. Coatings 2018, 8, 217
Authors: Pasin Laila , Meyer Jörg , Eiche Elisabeth , Kasper Gerhard
Published: March 2019

In the original version of article [...]
Observing Dynamical Systems Using Magneto-Controlled Diffraction
Authors: Tufaile Alberto , Vanderelli Timm A. , Snyder Michael , Tufaile Adriana Pedrosa Biscaia
Published: March 2019

Observing the light passing through a thin layer of ferrofluid, we can see the occurrence of interesting effects, both in the formation patterns within the ferrofluid layer and in the dispersion of light outside that layer. This leads us to ask what the explanations associated with these effects are. In this paper, we analyze and explain the occurrence of these luminous patterns using a Ferrolens, commercially known as a Ferrocell. We present details of our experimental apparatus, followed by a discussion of some properties of light polarization and its relation to the formation of magnetic contours produced by a Ferrolens. In addition, we present the observation of a magnetochiral effect in this system. Next, we propose an application of this experiment in dynamical systems. The dynamical system is the direct observation of diffracted lines in Ferrolens, a special case of a Hele-Shaw cell containing a transparent ferrofluid subjected to various light sources.
Thermodynamic Stability, Thermoelectric, Elastic and Electronic Structure Properties of ScMN2-Type (M = V, Nb, Ta) Phases Studied by ab initio Calculations
Authors: Pilemalm Robert , Pourovskii Leonid , Mosyagin Igor , Simak Sergei , Eklund Per
Published: March 2019

ScMN2-type (M = V, Nb, Ta) phases are layered materials that have been experimentally reported for M = Ta and Nb, but they have up to now not been much studied. However, based on the properties of binary ScN and its alloys, it is reasonable to expect these phases to be of relevance in a range of applications, including thermoelectrics. Here, we have used first-principles calculations to study their thermodynamic stability, elastic, thermoelectric and electronic properties. We have used density functional theory to calculate lattice parameters, the mixing enthalpy of formation and electronic density of states as well as the thermoelectric properties and elastic constants (cij), bulk (B), shear (G) and Young’s (E) modulus, which were compared with available experimental data. Our results indicate that the considered systems are thermodynamically and elastically stable and that all are semiconductors with small band gaps. All three materials display anisotropic thermoelectric properties and indicate the possibility to tune these properties by doping. In particular, ScVN2, featuring the largest band gap exhibits a particularly large and strongly doping-sensitive Seebeck coefficient.
A New Phylogenetic Inference Based on Genetic Attribute Reduction for Morphological Data
Authors: Feng Jun , Liu Zeyun , Feng Hongwei , Sutcliffe Richard F. E. , Liu Jianni , Han Jian
Published: March 2019

To address the instability of phylogenetic trees in morphological datasets caused by missing values, we present a phylogenetic inference method based on a concept decision tree (CDT) in conjunction with attribute reduction. First, a reliable initial phylogenetic seed tree is created using a few species with relatively complete morphological information by using biologists’ prior knowledge or by applying existing tools such as MrBayes. Second, using a top-down data processing approach, we construct concept-sample templates by performing attribute reduction at each node in the initial phylogenetic seed tree. In this way, each node is turned into a decision point with multiple concept-sample templates, providing decision-making functions for grafting. Third, we apply a novel matching algorithm to evaluate the degree of similarity between the species’ attributes and their concept-sample templates and to determine the location of the species in the initial phylogenetic seed tree. In this manner, the phylogenetic tree is established step by step. We apply our algorithm to several datasets and compare it with the maximum parsimony, maximum likelihood, and Bayesian inference methods using the two evaluation criteria of accuracy and stability. The experimental results indicate that as the proportion of missing data increases, the accuracy of the CDT method remains at 86.5%, outperforming all other methods and producing a reliable phylogenetic tree.
Intra- and Inter-Modular Connectivity Alterations in the Brain Structural Network of Spinocerebellar Ataxia Type 3
Authors: Jao Chi-Wen , Soong Bing-Wen , Wang Tzu-Yun , Wu Hsiu-Mei , Lu Chia-Feng , Wang Po-Shan , Wu Yu-Te
Published: March 2019

In addition to cerebellar degeneration symptoms, patients with spinocerebellar ataxia type 3 (SCA3) exhibit extensive involvements with damage in the prefrontal cortex. A network model has been proposed for investigating the structural organization and functional mechanisms of clinical brain disorders. For neural degenerative diseases, a cortical feature-based structural connectivity network can locate cortical atrophied regions and indicate how their connectivity and functions may change. The brain network of SCA3 has been minimally explored. In this study, we investigated this network by enrolling 48 patients with SCA3 and 48 healthy subjects. A novel three-dimensional fractal dimension-based network was proposed to detect differences in network parameters between the groups. Copula correlations and modular analysis were then employed to categorize and construct the structural networks. Patients with SCA3 exhibited significant lateralized atrophy in the left supratentorial regions and significantly lower modularity values. Their cerebellar regions were dissociated from higher-level brain networks, and demonstrated decreased intra-modular connectivity in all lobes, but increased inter-modular connectivity in the frontal and parietal lobes. Our results suggest that the brain networks of patients with SCA3 may be reorganized in these regions, with the introduction of certain compensatory mechanisms in the cerebral cortex to minimize their cognitive impairment syndrome.
Image Encryption Based on Pixel-Level Diffusion with Dynamic Filtering and DNA-Level Permutation with 3D Latin Cubes
Authors: Li Taiyong , Shi Jiayi , Li Xinsheng , Wu Jiang , Pan Fan
Published: March 2019

Image encryption is one of the essential tasks in image security. In this paper, we propose a novel approach that integrates a hyperchaotic system, pixel-level Dynamic Filtering, DNA computing, and operations on 3D Latin Cubes, namely DFDLC, for image encryption. Specifically, the approach consists of five stages: (1) a newly proposed 5D hyperchaotic system with two positive Lyapunov exponents is applied to generate a pseudorandom sequence; (2) for each pixel in an image, a filtering operation with different templates called dynamic filtering is conducted to diffuse the image; (3) DNA encoding is applied to the diffused image and then the DNA-level image is transformed into several 3D DNA-level cubes; (4) Latin cube is operated on each DNA-level cube; and (5) all the DNA cubes are integrated and decoded to a 2D cipher image. Extensive experiments are conducted on public testing images, and the results show that the proposed DFDLC can achieve state-of-the-art results in terms of several evaluation criteria.
On the Reality of Quantum Collapse and the Emergence of Space-Time
Authors: Schlatter Andreas
Published: March 2019

We present a model, in which quantum-collapse is supposed to be real as a result of breaking unitary symmetry, and in which we can define a notion of “becoming”. We show how empirical space-time can emerge in this model, if duration is measured by light-clocks. The model opens a possible bridge between Quantum Physics and Relativity Theory and offers a new perspective on some long-standing open questions, both within and between the two theories.
Unsupervised Indoor Positioning System Based on Environmental Signatures
Authors: Feng Pan , Qin Danyang , Zhao Min , Guo Ruolin , Berhane Teklu Merhawit
Published: March 2019

Mobile sensors are widely used in indoor positioning in recent years, but most methods require cumbersome calibration for precise positioning results, thus the paper proposes a new unsupervised indoor positioning (UIP) without cumbersome calibration. UIP takes advantage of environment features in indoor environments, as some indoor locations have their signatures. UIP considers these signatures as the landmarks, and combines dead reckoning with them in a simultaneous localization and mapping (SLAM) frame to reduce positioning errors and convergence time. The test results prove that the system can achieve accurate indoor positioning, which highlights its prospect as an unconventional method of indoor positioning.
Simultaneous Classical Communication and Quantum Key Distribution Based on Plug-and-Play Configuration with an Optical Amplifier
Authors: Wu Xiaodong , Wang Yijun , Liao Qin , Zhong Hai , Guo Ying
Published: March 2019

We propose a simultaneous classical communication and quantum key distribution (SCCQ) protocol based on plug-and-play configuration with an optical amplifier. Such a protocol could be attractive in practice since the single plug-and-play system is taken advantage of for multiple purposes. The plug-and-play scheme waives the necessity of using two independent frequency-locked laser sources to perform coherent detection, thus the phase noise existing in our protocol is small which can be tolerated by the SCCQ protocol. To further improve its capabilities, we place an optical amplifier inside Alice’s apparatus. Simulation results show that the modified protocol can well improve the secret key rate compared with the original protocol whether in asymptotic limit or finite-size regime.
Application of a Fluid–Structure Interaction Model for Analysis of the Thermodynamic Process and Performance of Boil-Off Gas Compressors
Authors: Zhao Bin , Zhou Shuangmei , Feng Jianmei , Peng Xueyuan , Jia Xiaohan
Published: March 2019

Boil-off gas (BOG) compressors are among the most critical devices in transportation and receiving systems for liquid natural gas (LNG) because they are used to pump out excess BOG from LNG storage tanks to ensure safety. Because of the ultralow suction temperature, the influence of heat transfer between the cold gas and the compressor parts on the in-cylinder thermodynamic process cannot be ignored. This paper reports the effects of suction temperature on the thermodynamic process and performance of a BOG compressor with consideration of gas pulsation. A computational fluid dynamics (CFD) model with dynamic and sliding meshes was established, in which user-defined functions (UDFs) were used to calculate the real-time valve lift to realize coupling between the thermodynamic process and the gas pulsation, and a performance test rig was constructed to verify the proposed numerical model. The simulated results agreed well with the experimental ones. The results show that as the suction temperature decreased from 30 °C to −150 °C, the first-stage volumetric efficiency decreased to 0.69, and the preheating increased to 45.8 °C. These results should provide academic guidance and an experimental basis for the design and optimization of BOG compressors.
Two-Terminal Algorithm Analysis for Unsymmetrical Fault Location on 110 kV Lines
Authors: Bukvisova Zuzana , Orsagova Jaroslava , Topolanek David , Toman Petr
Published: March 2019

This work analyses a two-terminal algorithm designed to locate unsymmetrical faults on 110 kV power transmission lines. The algorithm processes synchronized voltage and current data obtained from both ends of the protected transmission line and calculates the distance of the fault. It is based on decomposing the equivalent circuit into the positive-, negative- and zero-sequence components and finding the point where the output voltages of the right and the left side of the transmission line are equal. Compared to the conventional distance relay locator, the accuracy of this method is higher and less influenced by the fault resistance, the parallel-operated line effect and line asymmetry, as discussed in this work. It is, however, very sensitive to the synchronization accuracy. The mathematical model of the power system was created in the PSCAD (Power Systems Computer Aided Design) environment and the computational algorithm was implemented in Mathematica software.
Hierarchical Distributed Control Strategy for Electric Vehicle Mobile Energy Storage Clusters
Authors: Wu Mei , Bao Yu-Qing , Chen Gang , Zhang Jinlong , Wang Beibei , Qian Weixing
Published: March 2019

The stability problem of the power system becomes increasingly important for the penetration of renewable energy resources (RESs). The inclusion of electric vehicles (EVs) in a power system can not only promote the consumption of RESs, but also provide energy for the power grid if necessary. As a mobile energy storage unit (MESU), EVs should pay more attention to the service life of their batteries during operation. A hierarchical distributed control strategy was proposed in this paper for mobile energy storage clusters (MESCs) considering the life loss of each EV’s battery. This strategy was divided into a two-layer control structure. Firstly, numerous EVs were divided into different clusters according to their regional relationships. The lower layer adopted a distributed collaborative control approach for allocating energy among EVs in the cluster. Under this condition, an aggregate EVs response model was established and the characteristic of the MESC was analyzed. Secondly, the upper layer applied the multi-agent consensus algorithm to achieve the optimal allocation among different clusters. Therefore, the control strategy realized the two-way communication of energy between EVs and the power grid, and ensured the optimal economical dispatch for the mobile energy storage system (MESS). Finally, the simulation of testing examples verified the effectiveness of the proposed strategy.
Estimating Adaptive Setpoint Temperatures Using Weather Stations
Authors: Bienvenido-Huertas David , Rubio-Bellido Carlos , Pérez-Ordóñez Juan Luis , Martínez-Abella Fernando
Published: March 2019

Reducing both the energy consumption and CO2 emissions of buildings is nowadays one of the main objectives of society. The use of heating and cooling equipment is among the main causes of energy consumption. Therefore, reducing their consumption guarantees such a goal. In this context, the use of adaptive setpoint temperatures allows such energy consumption to be significantly decreased. However, having reliable data from an external temperature probe is not always possible due to various factors. This research studies the estimation of such temperatures without using external temperature probes. For this purpose, a methodology which consists of collecting data from 10 weather stations of Galicia is carried out, and prediction models (multivariable linear regression (MLR) and multilayer perceptron (MLP)) are applied based on two approaches: (1) using both the setpoint temperature and the mean daily external temperature from the previous day; and (2) using the mean daily external temperature from the previous 7 days. Both prediction models provide adequate performances for approach 1, obtaining accurate results between 1 month (MLR) and 5 months (MLP). However, for approach 2, only the MLP obtained accurate results from the 6th month. This research ensures the continuity of using adaptive setpoint temperatures even in case of possible measurement errors or failures of the external temperature probes.
What Do Potential Residents Really Want When Hosting a Nuclear Power Plant? An Empirical Study of Economic Incentives in South Korea
Authors: Huh Sung-Yoon , Woo JongRoul , Lee Chul-Yong
Published: March 2019

To increase acceptance of new nuclear power plants (NPPs) by local communities, some countries offer those communities economic incentives. This study analyzes potential residents’ preferences for economic incentives provided during the construction and operation of NPPs in South Korea. This study uses stated preference data through a discrete choice experiment and the mixed logit model to reflect the heterogeneity of respondents’ preferences. The analysis results confirm heterogeneity by various incentive types, and show that respondents consider the distance between the NPP and the residential area as well as reduced electricity bills as crucial attribute of new NPPs. In addition, the result for the marginal willingness to be near to an NPP shows that reduced electricity bills, construction of new public facilities, and increased residents’ participation are relatively more effective incentives than job creation or solar panel installation. In particular, increased residents’ participation could greatly improve acceptance although it is not a direct form of financial support. The simulation analysis results indicate that acceptance of NPPs rapidly reduces as distance to the plant becomes shorter, although acceptance can change within a 0–30% range depending on the level of incentives. Several policy implications are suggested for policymakers based on the results.
Simplified Neural Network Model Design with Sensitivity Analysis and Electricity Consumption Prediction in a Commercial Building
Authors: Kim Moon Keun , Cha Jaehoon , Lee Eunmi , Pham Van Huy , Lee Sanghyuk , Theera-Umpon Nipon
Published: March 2019

With growing urbanization, it has become necessary to manage this growth smartly. Specifically, increased electrical energy consumption has become a rapid urbanization trend in China. A building model based on a neural network was proposed to overcome the difficulties of analytical modelling. However, increased amounts of data, repetitive computation, and training time become a limitation of this approach. A simplified model can be used instead of the full order model if the performance is acceptable. In order to select effective data, Mean Impact Value (MIV) has been applied to select meaningful data. To verify this neural network method, we used real electricity consumption data of a shopping mall in China as a case study. In this paper, a Bayesian Regularization Neural Network (BRNN) is utilized to avoid overfitting due to the small amount of data. With the simplified data set, the building model showed reasonable performance. The mean of Root Mean Square Error achieved is around 10% with respect to the actual consumption and the standard deviation is low, which reflects the model’s reliability. We also compare the results with our previous approach using the Levenberg–Marquardt back propagation (LM-BP) method. The main difference is the output reliability of the two methods. LM-BP shows higher error than BRNN due to overfitting. BRNN shows reliable prediction results when the simplified neural network model is applied.
Organic Matter Pore Characterization of the Wufeng-Longmaxi Shales from the Fuling Gas Field, Sichuan Basin: Evidence from Organic Matter Isolation and Low-Pressure CO2 and N2 Adsorption
Authors: Li Zhuo , Jiang Zhenxue , Yu Hailong , Liang Zhikai
Published: March 2019

Organic matter (OM) pores are significant for shale gas accumulation and flow mechanisms. The pores of Wufeng-Longmaxi (W-L) shale in the Sichuan Basin, China have been extensively characterized, however, the proportion of OM pores in this shale have not been adequately discussed. In this study, the contribution of OM pores to the total pore volume of W-L shale was quantitatively studied through the analysis of OM isolation, field emission scanning electron microscopy (FE-SEM) and low-pressure CO2 and N2 adsorption (LPGA). FE-SEM images showed abundant OM pores, interparticle pores and intraparticle pores with various shapes and widths in the W-L shales. The pore size distribution (PSD) of the isolated OM from five shale samples showed a consistent, unimodal pattern. The pore volume of isolated OM was greater than that of the bulk shale samples, suggesting that OM is more porous than the inorganic compositions in shales. The average contribution of OM to the volumes of micropores, mesopores and macropores was 58.42%, 10.34% and 10.72%, respectively. Therefore, the pore volume of the W-L shale was dominantly related to inorganic minerals. This was probably due to the small weight ratio of OM in the shale samples (1.5 wt%–4.2 wt%). The findings of this study reveal the different effects of OM and minerals on pore development, and provide new insights into the quantitative contribution of OM pores to the total pore volume of the W-L shale.
Thin Conductor Modelling Combined with a Hybrid Numerical Method to Evaluate the Transferred Potential from Isolated Grounding System
Authors: Aiello Giovanni , Alfonzetti Salvatore , Rizzo Santi Agatino , Salerno Nunzio
Published: March 2019

Grounding systems are essential parts of substations and power generation stations. The evaluation of transferred potentials from an active grounding system to other passive ones or to any near conductors is an important aspect to be considered, because transferred potentials may cause serious and fatal events. Moreover, it is an intrinsic issue of the Smart Grid where the ground systems of the power and ICT systems could be close to each other. Therefore, the estimation of the transferred potential is necessary at grounding system design stage for people safety and electric components safeguard. Numerical methods are the best choice to perform a truthful estimation, especially when large and complex grounding systems have to be designed. However, this task is complicated by the “unbounded” nature of the electromagnetic field and by the presence of components of extremely different size in the analysis domain. In this paper, an efficient hybrid finite element method is applied for the accurate and fast computation of transferred earth potentials from grounding systems. Moreover, the small dimensions of the components in the analysis domain are taken into account by the use of one-dimensional finite elements inserted in the tetrahedral mesh. It is worth mentioning the additional advantage of obtaining the electric potential on the earth surface without any post-processing operation.
Effects of Carbon-Emission and Setup Cost Reduction in a Sustainable Electrical Energy Supply Chain Inventory System
Authors: Mishra Umakanta , Wu Jei-Zheng , Chiu Anthony Shun Fung
Published: March 2019

This article develops a sustainable electricity supply chain mathematical model that assumes linear price-dependent customer demands where the price is a decision variable under setup cost and carbon emission. The sustainable electrical supply chain system contained: (a) power generation; (b) transmission substations; (c) distribution substations; and (d) customer. The production rates depend on the demand rate, and demand for electricity by the customers is dependent on the price of electricity where the electrical energy was generated and transmitted through multiple substations to customers. Moreover, we considered that the capacities of transmission rates, power generation, and distances in between two stations are associated with the distribution costs and transmission cost. Here, we used the theory of inventory to develop a new model and suggested a procedure to deduce an optimal solution for this model. Finally, a numerical example and sensitivity analysis are employed to illustrate the present study and with managerial insights.