bluuebunny/crossref_metadata_2025 huggingface dataset:
IMPLEMENTASI METODE PIECES PADA ANALISIS WEBSITE KANTOR PENANAMAN MODAL KOTA LUBUKLINGGAU
Authors: Wijaya Harma Oktafia Lingga
Published: November 2018

AbstrakDi Era Informasi pada saat ini website memiliki fungsi yang sangat besar bagi individu maupun masyarakat luas ,sebagai media penyebarluasan informasi bagi  masyarakat itu sendiri dengan terpenuhi kebutuhan informasi masyarakat diharapkan terpenuhinya dan tercapainya informasi yang mudah dan cepat sesuai dengan kebutuhan masyarakat saat ini,untuk memberikan pelayan yang baik kepada masyarakat Kantor penanaman modal juga berusaha memberikan informasi yang cepat kepada masyarakat dengan menggunakan website kantor.  Begitu juga dengan kantor penanaman modal kota Lubuklinggau.Kantor Penanaman Modal Kota Lubuklinggau pada saat ini sudah mempunyai website sendiri yaitu http://www.kpm.lubuklinggaukota.go.id. Dimana website ini menyediakan informasi mengenai Kantor Penanaman Modal Kota Lubuklinggau seperti berita, visi dan misi, profil dan informasi lainnya. Akan tetapi sejak website pertama dibuat, website ini belum pernah dilakukan suatu analisis mengenai keadaan website tersebut. Sehingga terdapat masalah yang muncul dalam mengakses website tersebut, seperti membutuhkan waktu yang lama membuka halaman website, navigasi menu yang kompleks dan informasi yang kurang up to date. Dengan menganalisa website tersebut maka dapat diperoleh suatu informasi yang berguna bagi pemilik website guna memperbaiki dan mengembangkan website mereka.Website Kantor Penanaman Modal ini akan dianalisis dengan menggunakan metode PIECES dari segi Performance, Information, Economic, Control, Efeciensy, dan Service. Dari segi Performance akan mengukur seberapa lama performa dari website Kantor Penanaman Modal Kota Lubuklinggau. Segi Information akan menganalisis informasi apa saja yang diberikan oleh website Kantor Penanaman Modal Kota Lubuklinggau kepada masyarakat. Segi Economics akan menganalisis dari segi ekonomi yaitu biaya. Control akan menganalisa dari segi keamanan website. Segi Efficiency akan menganalisis seberapa efisienkah website Kantor Penanaman Modal Kota Lubuklinggau dalam menyampaikan informasi kepada masyarakat. Segi Service Layanan akan menganalisis layanan apa saja yang disediakan website Kantor Penanaman Modal Kota Lubuklinggau.Kata Kunci : Metode PIECES, Analisis, Website
PENERAPAN METODE NAÏVE BAYES DALAM KLASIFIKASI KELAYAKAN KELUARGA PENERIMA BERAS RASTRA
Authors: Fadlan Chairul , Ningsih Selfia , Windarto Agus Perdana
Published: November 2018

AbstrakBeras rastra adalah sebuah program pemerintah yang bertujuan untuk meringankan beban keluarga miskin atau hampir miskin dalam hal pangan. Dalam implementasinya pada desa Bandar Siantar Kecamatan Gunung Malela masih belum optimal dikarenakan masih banyak program rastra yang belum tepat sasaran. Konsep data mining akan mempermudahkan mengatasi masalah yang belum optimal di desa Bandar Siantar Kecamatan Gunung Malela. Maka, metode klasifikasi mampu menemukan model yang membedakankonsep atau kelas data, dengan tujuan untuk dapat memperkirakan kelas dari suatu objekyang labelnya tidak diketahui. Oleh sebab itu, Algoritma Naive Bayes dapat memprediksipeluang di masa depan berdasarkan pengalaman dimasa sebelumnya, pada penelitian ini peneliti mengambil data lati sebanyak 70 data dan sebuah data uji, dengan menggunakan 6 kriteria yaitu Status PKH, Jumlah Tanggungan, Kepala rumah Tangga, Kondisi Rumah, Jumlah Penghasilan, dan Status Pemilik Rumah.Hasil penilitian ini diharapkan dapat membantu pemerintah khususnya di dearah dalam menentukan kelayakan keluarga penerima beras Rastra. Kata kunci : Data Mining, Beras Rastra, Algoritma Naïve Bayes Abstract Beras Rastra is a government program that aims to alleviate the burden of poor or near-poor families in terms of food. In its implementation on desa Bandar Siantar Kecamatan Gunung Malela still not optimal because there are still many rastra program that has not been right target. The concept of data mining will make it easier to overcome the problem that has not been optimal in desa Bandar Siantar Kecamatan Gunung Malela,classification methods are able to find models that distinguish concepts or data classes, with the aim of being able to estimate the class of an object whose label is unknown. Therefore Algoritma Naïve Bayes can predict future opportunities based on experience in the past, in this study researchers took data lati as much as 70 data and a test data,using 6 criteria that isStatus of PKH, Number of Dependent, Household Head, House Condition, Income Amount, and Home Owner Status.The results of this study are expected to assist the government, especially in the region in determining the eligibility of families of Beras Rastra beneficiaries Keywords : Data Mining, Beras Rastra, Algoritma Naïve Bayes
The regulation of professions in tourism The case of Slovenia
Authors: Zirnstein Elizabeta
Published: November 2018

A regulated profession means that the entry conditions for the pursuit of that profession or the practice of that profession (after entering it) is regulated by an obligatory legislative act. In Slovenia there are five regulated professions in the field of tourism: tourist guide, accompanying assistant, mountain guide, caving guide (potholio guide) and canyoning guide. The legislation in this field is rather complex, as the named professions are regulated in four different legislative acts. In this paper, we analyse the conditions and the procedure to obtain a licence for regulated professions in the field of tourism in Slovenia. We conclude with remarks on the future possible development in this field.
Danno da vacanza rovinata da sinistro stradale
Authors: Montanari Matteo
Published: November 2018

Si sta facendo strada in giurisprudenza un orientamento volto a riconoscere profili di illiceità alla violazione del diritto di godere di una vacanza organizzata. La possibilità di risarcire il danno da vacanza rovinata va comunque analizzata secondo i principi fissati dalla Suprema Corte con riferimento al risarcimento del danno non patrimoniale, al fine di evitare una dilatazione indiscriminata del perimetro di tale danno. L'analisi di cui sopra dovrebbe essere condotta in maniera rigorosa al fine di evitare possibili tentativi di aggirare la valutazione del pregiudizio costituzionalmente individuato, che dovrebbe presiedere alla liquidazione del danno non patrimoniale diverso da quello normativamente stabilito.
Compartel (telecentros): una evaluación de su apropiación social
Authors: Salcedo Parra Octavio J. , Aguilera-Prado Marco , Guevara Fletcher Diego
Published: November 2018

El presente artículo hace una evaluación del impacto medido por Propensity Score Matching PSM para la probabilidad de asistir a los telecentros del programa Compartel del Ministerio de las TICs de Colombia, en los años 2009, 2011 y 2012. El estudio arroja que la probabilidad de asistir a los telecentros es mayor en individuos de estratos más bajos, que han buscado trabajo las últimas semanas, con grados superiores de escolarización, sin teléfono en la residencia y que son jefe de familia o familiares cercanos al mismo. Así, el éxito del programa telecentros en términos de apropiación de TICs no pasa únicamente por el mejoramiento técnico o de cobertura de fibra sino por unas condiciones mínimas de los posibles beneficiarios del programa.
The Performance of Forestry Extension Functional Officials in the Ministry of Environment and Forestry
Authors: Yulita Ita , Djamil Masyhudzulhak , MM, Ak Indupurnahayu
Published: November 2018

 

Workload, problem management and task completion in forestry are the work entrusted to the Forestry Extension Workers. In the highly complex condition of forestry problems, Forestry Extension Workers are needed to bridge and outline the problems and to prevent the emergence of deeper, more widespread and prolonged problems. The problems served as the background for the writer to conduct the study in the thesis completion in the Master of Management Program.  The problems are related to the effects of competence, compensation and career development factors of the Forestry Extension Workers working in the Ministry of Environment and Forestry and the performance expected to achieve the completion of forestry extension works. The data analysis used to explain the effects of competence, compensation and career development and the performance of Forestry Extension Workers was the Structural Equation Model (SEM) with Smart PLS. Based on the estimations and t-values, it can be concluded that the exogenous variables of compensation and career development affect the endogenous latent factor of the performance of Forestry Extension workers (?), whereas competence has no effect on the performance of Forestry Extension Workers.

 
Strategi Peningkatan Kinerja Guru Besar Di Perguruan Tinggi Negeri
Authors: Ramly Amir Tengku
Published: November 2018

Human resourcesare the most important as set for an organization, including the IPB. Vision of IPB become World Classy University (WCU) and Research Based University (RBU) requires quality human resources, especially lecturers and professors. Quality of human resources capable of align IPB with the best universities in Indonesia and the world is a quality lecturers and professors are high performing. Good performance should be supported by a good performance management and appropriate strategies. This study aims to formulate alternative strategies that influence the performance professor. This research methoduses the AHP model (Analytical Hierarchy Process) with soft were of Expert Choice as an approach to looking at the structure and priorities of strategic alternatives. The results showed that the strategy of priorities to be implemented through the strategic management of IPB is development of self capacity in main priority to the education factor with indicators is development of lecturing materials through the function and main role of head of department (Kadep).
Optimization of Building Components with Sustainability Aspects in BIM Environment
Authors: Khanzadi Mostafa , Kaveh Ali , Moghaddam Mohammad Rastegar , Pourbagheri Seyyed Mohammad
Published: November 2018

In recent decades, the variety of building materials has grown a great deal causing the selection of suitable materials from a wide range of candidates to be complex and difficult. One of the main criteria to be considered in this area, besides reducing procurement cost, is paying attention to various aspects affecting the dimensions of sustainable development, such as increasing energy saving, applying recyclable materials and localization.This paper proposes a framework in the BIM environment - as one of the successful approaches in the AEC industry - which allows the project stakeholders to choose the most desired and optimal combination for their building components with least human interference in the selection process makes systematic choices. In order to achieve the purposes embedded in the framework phases, several methods such as ENSCBO, DEA and VIKOR have been utilized in order to evaluate and depict the selection process, this is implemented as a Revit plugin and eventually applied to a case study.
Masqued Poetics in Your Five Gallants: Middleton's Response to Jonson
Authors: Harris Sharon J.
Published: November 2018

Thomas Middleton's city comedy Your Five Gallants and Ben Jonson's “comicall satyre” Cynthia's Revels make a surprising pair, given the lower-class London criminals and raucous, physical humor of Middleton's play and the Ovidian-inspired premise and courtly setting of Jonson's. Although heretofore unrecognized, Middleton based Your Five Gallants, his Blackfriars debut, on Jonson's own Blackfriars debut, Cynthia's Revels. This relationship becomes most apparent in the final masques that end both plays. Middleton also modeled the masque in his play on the first Jacobean court masque, Masque of the Knights. This article argues that under Middleton's hand the staged masque served a poetic function: As playgoers to Your Five Gallants responded to the embedded final masque, they enacted their social knowledge and thus claimed social positions. Through their responses to the masque the audience could demonstrate how they understood their status vis-à-vis the subjects of the satire, and, in a further extension of both form and content, the masque enabled Middleton to unmask and censure the audience and to mount a critique of Jonson's author-centered poetics, offering his own audience-based approach as a rebuttal.
Il la faut(la logique), Yes, yes: Deconstruction's Critical Force
Authors: Gaon Stella
Published: November 2018

Jacques Derrida regularly appeals to an affirmative gesture that is ‘prior’ to or more ‘originary’ than the form of the question, and this suggests one way to understand deconstruction's critical force. The ‘Yes, yes’, he says, situates a ‘vigil or beyond of the question’ with respect to an ‘irreducible responsibility’. Some Derrida scholars therefore construe the double affirmation as a source or ground of critique. In this paper, I refute this suggestion. While an originary ‘Yes, yes’ or ‘come’ (viens) does open the fields of (for example) ‘inheritance’, language, or ‘holistic webs’, I argue, it only marks (will have marked) the processes of différance or of trace that make signification possible in general. No thing, as such, is thereby affirmed. This is why the originary affirmation cannot be said to constitute, in itself, the imperative (il la faut) of the logic (la logique) of ethical-political critique. To explain why a certain ethical imperative can be associated with deconstruction, one must determine why one is always already subject to a vigil that opens critique to its own possibility. One must also determine how the affirmative gesture relates to deconstruction's critical force.
A Reciprocal-Selection-Based ‘Win–Win’ Overlay Spectrum-Sharing Scheme for Device-to-Device-Enabled Cellular Network
Authors: Li Peng , Shu Chenchen , Feng Jiao
Published: November 2018

This paper proposes a reciprocal-selection-based ‘Win–Win’ overlay spectrum-sharing scheme for device-to-Device-enabled cellular networks to address the resource sharing between Device-to-Device devices and the cellular users by using an overlay approach. Based on the proposed scheme, the cell edge users intend to lease part of its spectrum resource to Device-to-Device transmission pairs. However, the Device-to-Device users have to provide the cooperative transmission assistance for the cell edge users in order to improve the Quality of Service of the uplink transmission from the cell edge users to the base station. Compared to the underlay spectrum-sharing scheme, overlay spectrum-sharing scheme may reduce spectrum efficiency. Hence, Non-Orthogonal Multiple Access technology is invoked at the Device-to-Device transmitter in order to improve the spectrum efficiency. The Stackelberg game is exploited to model the behaviours of the cell edge users and Device-to-Device devices. Moreover, based on matching theory, the cell edge users and Device-to-Device pairs form one-to-one matching and the stability of matching is analysed. The simulation results show that the proposed reciprocal-selection-based ‘Win–Win’ overlay spectrum-sharing scheme is capable of providing considerable rate improvements for both EUs and D2D pairs and reducing transmit power dissipated by the D2D transmitter to forward data for the EU compared with the existing methods.
An Algorithm for Interval-Valued Intuitionistic Fuzzy Preference Relations in Group Decision Making Based on Acceptability Measurement and Priority Weight Determination
Authors: Zhuang Hua , Tang Yanzhao , Li Meijuan
Published: November 2018

Group decision making with intuitionistic fuzzy preference information contains two key issues: acceptability measurement and priority weight determination. In this paper, we investigate the above two issues with respect to multiplicative interval-valued intuitionistic fuzzy preference relation (IVIFPR). Firstly, a consistency index is defined to measure the multiplicative consistency degree of IVIFPR and an optimization model is established to improve the consistency degree of IVIFPR to an acceptable one. Next, in terms of priority weight determination, an error-analysis-based extension method is proposed to obtain priority weight vector from the acceptable IVIFPR. For GDM problems, decision makers’ weights are derived by the proposed multiplicative consistency index. Subsequently, the collective IVIFPR is obtained by using an interval-valued intuitionistic fuzzy (IVIF) weighted averaging operator. Finally, a step-by step algorithm for GDM with IVIFPRs is given, and an example of enterprise innovation partner selection is analyzed, and comparative analyses with existing approaches are performed to demonstrate that the proposed algorithm is both effective and practical in dealing with GDM problems.
Multi-Disciplinary Design Optimisation of the Cooled Squealer Tip for High Pressure Turbines
Authors: Caloni Stefano , Shahpar Shahrokh , Toropov Vassili V.
Published: November 2018

The turbine tip geometry can significantly alter the performance of the turbine stage; its design represents a challenge for a variety of reasons. Multiple disciplines are involved in its design and their requirements limit the creativity of the designer. Multi-Disciplinary Design Optimisation (MDO) offers the capability to improve the performance whilst satisfying all the design constraints. This paper presents a novel design of a turbine tip achieved via MDO techniques. A fully parametrised Computer-Aided Design (CAD) model of the turbine rotor is used to create the squealer geometry and to control the location of the cooling and dust holes. A Conjugate Heat Transfer Computational Fluid Dynamics (CFD) analysis is performed for evaluating the aerothermal performance of the component and the temperature the turbine operates at. A Finite Element (FE) analysis is then performed to find the stress level that the turbine has to withstand. A bi-objective optimisation reduces simultaneously the aerodynamic loss and the stress level. The Multipoint Approximation Method (MAM) recently enhanced for multi-objective problems is chosen to solve this optimisation problem. The paper presents its logic in detail. The novel geometry offers a significant improvement in the aerodynamic performance whilst reducing the maximum stress. The flow associated with the new geometry is analysed in detail to understand the source of the improvement.
Workflow to Establish Time-Specific Zones in Precision Agriculture by Spatiotemporal Integration of Plant and Soil Sensing Data
Authors: Scudiero Elia , Teatini Pietro , Manoli Gabriele , Braga Federica , Skaggs Todd H. , Morari Francesco
Published: November 2018

Management zones (MZs) are used in precision agriculture to diversify agronomic management across a field. According to current common practices, MZs are often spatially static: they are developed once and used thereafter. However, the soil–plant relationship often varies over time and space, decreasing the efficiency of static MZ designs. Therefore, we propose a novel workflow for time-specific MZ delineation based on integration of plant and soil sensing data. The workflow includes four steps: (1) geospatial sensor measurements are used to describe soil spatial variability and in-season plant growth status; (2) moving-window regression modelling is used to characterize the sub-field changes of the soil–plant relationship; (3) soil information and sub-field indicator(s) of the soil–plant relationship (i.e., the local regression slope coefficient[s]) are used to delineate time-specific MZs using fuzzy cluster analysis; and (4) MZ delineation is evaluated and interpreted. We illustrate the workflow with an idealized, yet realistic, example using synthetic data and with an experimental example from a 21-ha maize field in Italy using two years of maize growth, soil apparent electrical conductivity and normalized difference vegetation index (NDVI) data. In both examples, the MZs were characterized by unique combinations of soil properties and soil–plant relationships. The proposed approach provides an opportunity to address the spatiotemporal nature of changes in crop genetics × environment × management interactions.
Prevailing Clusters of Canine Behavioural Traits in Historical US Demand for Dog Breeds (1926–2005)
Authors: Wilson Bethany , Serpell James , Herzog Harold , McGreevy Paul
Published: November 2018

Drawing on American Kennel Club (AKC) puppy registration numbers for approximately 82 varieties of pedigree dogs between 1926 and 2005, the current article analyses behavioural reports on 32,005 dogs of these varieties reported through the Canine Behavioural Assessment and Research Questionnaire (C-BARQ). Cluster analysis of C-BARQ scores indicates that the 82 breeds fell into six clusters. Average scores for each of the 14 behavioural subscales and 22 miscellaneous traits in C-BARQ were calculated for each cluster, and the breeds in each cluster with average scores most similar to the cluster averages were selected as titular breeds. Titular breeds for each cluster were the Maltese terrier, the Great Dane, the Akita, the Australian shepherd, the American Staffordshire terrier, and the Weimaraner. Using the AKC data, we tracked longitudinal trends in annual registration numbers of breeds of each cluster over the period from 1926 to 2005. This period was subdivided into periods with differing overall trends by fitting natural cubic splines to the overall raw trend and considering both the spline and its derivative curves. Differences in the absolute numbers of dogs and trends in registrations over nearly 80 years were identified: an Early period (1926–1944, during which total registration numbers were very low); a Mid-Century Period (1945–1971, during which total registration numbers were tending to rise from year to year); a First Decline (1972–1979, a brief period during which registration numbers experienced a trend of more gradual decline); a Recovery (1980–1992, where registration numbers began to gradually rise again); and a Second Decline (1993–2005, a second sustained period of falling registration numbers, more dramatic than the first decline). The current article describes the ways in which the clustered behaviour of dogs associate with these trends. That said, there is no compelling evidence that shifts in the popularity within or between the clusters reflect consumer canine behavioural preferences. Understanding historic trends in the demand for certain canine behavioural traits could help veterinary and urban animal management stakeholders to anticipate future needs for education and infrastructure.
Antibiotic Use on Goat Farms: An Investigation of Knowledge, Attitudes, and Behaviors of Missouri Goat Farmers
Authors: K. Landfried Lauren , K. Barnidge Ellen , Pithua Patrick , D. Lewis Roger , A. Jacoby Jonathan , C. King Christopher , R. Baskin Carole
Published: November 2018

Use of low dose, prophylactic antibiotics contributes to the emergence of antibiotic resistant bacteria. In one study, goat meat in Missouri was found to have a higher percentage of antibiotic residues at slaughter than the national average, so we attempted to identify factors related to goat production that may contribute to this issue. Using the knowledge, attitude, and behavior (KAB) model, we interviewed 11 Missouri goat farmers about factors affecting antibiotic use. Most of the farmers did not have specific protocols for managing illnesses and only relied on veterinarians for major health issues. Many felt veterinarians lacked knowledge about goat medicine so instead relied on other farmers’ or their own experiences for treatment modalities. While most agreed that antibiotic resistance was a concern, only 4 of the 11 indicated that they only used antibiotics when prescribed by the veterinarian. Veterinarians should be relied on and valued for their medical expertise, but they are not always being utilized in this manner. Therefore, veterinary education should emphasize goat health management to a greater extent than it currently does, and soft skills to build collaborative relationships with farmers should be taught to promote preventative health measures and more judicious use of antibiotics.
Examining Canadian Equine Industry Participants’ Perceptions of Horses and Their Welfare
Authors: DuBois Cordelie , Nakonechny Lindsay , Derisoud Emilie , Merkies Katrina
Published: November 2018

The diversity of the Canadian equine industry makes determining baseline attitudes and beliefs a challenge. Adult members of the Canadian equine industry (n = 901) participated in an online survey to report demographic information and views on the role of horses and their ability to experience affective states. Questions regarding the welfare state of all horses in the industry, potential ways to address welfare issues, and eight short scenarios were presented. Qualitative analysis, descriptive statistics, and a Chi-squared test for independence examined survey results and potential relationships. Participants strongly believed horses were capable of feeling positive and negative emotions, particularly pain and fear, but rarely were these beliefs reflected in their answers regarding aspects of equine welfare, which may be due to the large bias in these beliefs. Lack of knowledge and financial difficulties were noted as the biggest threats to equine welfare. Overall, there was widespread agreement regarding the presence of welfare issues within the equine industry, but opinions were more divided regarding how to best address them and which horses were most at risk. Understanding these perceptions may be useful to direct educational programs and industry-wide initiatives to address equine welfare through human behaviour change.
Antimicrobial Stewardship Programmes in Community Healthcare Organisations in England: A Cross-Sectional Survey to Assess Implementation of Programmes and National Toolkits
Authors: Ashiru-Oredope Diane , Doble Anne , Akpan Mary Richard , Hansraj Sejal , Shebl Nada Atef , Ahmad Raheelah , Hopkins Susan
Published: November 2018

Objective: The aim of this study was to assess antimicrobial stewardship activities in Community Healthcare Organisations (CHOs) with focus on the implementation of the two national antimicrobial stewardship toolkits, TARGET (Treat Antibiotics Responsibly, Guidance, Education, Tools) and SSTF (Start Smart, then Focus). The study utilised a web-based survey comprising 34 questions concerning antimicrobial policies and awareness and implementation of antimicrobial stewardship toolkits. This was distributed to pharmacy teams in all 26 CHOs in England. Twenty CHOs (77%) responded. An antimicrobial stewardship (AMS) committee was active in 50% of CHOs; 25% employed a substantive pharmacist post and 70% had a local antibiotic policy. Fourteen of the responding CHOs were aware of both AMS toolkits, five organisations were aware of either SSTF or TARGET, and one organisation was not aware of either toolkit. Of the organisations aware of SSTF and TARGET, eight had formally reviewed both toolkits, though three had not reviewed either. Less than half of the respondents had developed local action plans for either toolkit. National guidance in England has focused attention on initiatives to improve AMS implementation in primary and secondary care; more work is required to embed AMS activities and the implementation of national AMS toolkit recommendations within CHOs.
Hydrogen Peroxide and Redox Regulation of Developments
Authors: Rampon Christine , Volovitch Michel , Joliot Alain , Vriz Sophie
Published: November 2018

Reactive oxygen species (ROS), which were originally classified as exclusively deleterious compounds, have gained increasing interest in the recent years given their action as bona fide signalling molecules. The main target of ROS action is the reversible oxidation of cysteines, leading to the formation of disulfide bonds, which modulate protein conformation and activity. ROS, endowed with signalling properties, are mainly produced by NADPH oxidases (NOXs) at the plasma membrane, but their action also involves a complex machinery of multiple redox-sensitive protein families that differ in their subcellular localization and their activity. Given that the levels and distribution of ROS are highly dynamic, in part due to their limited stability, the development of various fluorescent ROS sensors, some of which are quantitative (ratiometric), represents a clear breakthrough in the field and have been adapted to both ex vivo and in vivo applications. The physiological implication of ROS signalling will be presented mainly in the frame of morphogenetic processes, embryogenesis, regeneration, and stem cell differentiation. Gain and loss of function, as well as pharmacological strategies, have demonstrated the wide but specific requirement of ROS signalling at multiple stages of these processes and its intricate relationship with other well-known signalling pathways.
Physical Layer Authentication and Identification of Wireless Devices Using the Synchrosqueezing Transform
Authors: Baldini Gianmarco , Giuliani Raimondo , Steri Gary
Published: November 2018

This paper addresses the problem of authentication and identification of wireless devices using their physical properties derived from their Radio Frequency (RF) emissions. This technique is based on the concept that small differences in the physical implementation of wireless devices are significant enough and they are carried over to the RF emissions to distinguish wireless devices with high accuracy. The technique can be used both to authenticate the claimed identity of a wireless device or to identify one wireless device among others. In the literature, this technique has been implemented by feature extraction in the 1D time domain, 1D frequency domain or also in the 2D time frequency domain. This paper describes the novel application of the synchrosqueezing transform to the problem of physical layer authentication. The idea is to exploit the capability of the synchrosqueezing transform to enhance the identification and authentication accuracy of RF devices from their actual wireless emissions. An experimental dataset of 12 cellular communication devices is used to validate the approach and to perform a comparison of the different techniques. The results described in this paper show that the accuracy obtained using 2D Synchrosqueezing Transform (SST) is superior to conventional techniques from the literature based in the 1D time domain, 1D frequency domain or 2D time frequency domain.
UAV Motion Strategies in Uncertain Dynamic Environments: A Path Planning Method Based on Q-Learning Strategy
Authors: Cui Jun-hui , Wei Rui-xuan , Liu Zong-cheng , Zhou Kai
Published: November 2018

A solution framework for UAV motion strategies in uncertain dynamic environments is constructed in this paper. Considering that the motion states of UAV might be influenced by some dynamic uncertainties, such as control strategies, flight environments, and any other bursting-out threats, we model the uncertain factors that might cause such influences to the path planning of the UAV, unified as an unobservable part of the system and take the acceleration together with the bank angle of the UAV as a control variable. Meanwhile, the cost function is chosen based on the tracking error, then the control instructions and flight path for UAV can be achieved. Then, the cost function can be optimized through Q-learning, and the best UAV action sequence for conflict avoidance under the moving threat environment can be obtained. According to Bellman’s optimization principle, the optimal action strategies can be obtained from the current confidence level. The method in this paper is more in line with the actual UAV path planning, since the generation of the path planning strategy at each moment takes into account the influence of the UAV control strategy on its motion at the next moment. The simulation results show that all the planning paths that are created according to the solution framework proposed in this paper have a very high tracking accuracy, and this method has a much shorter processing time as well as a shorter path it can create.
High-Speed Welding of Stainless Steel with Additional Compensatory Gas Jet Blow Molten Pool
Authors: Dong Changwen , Xue Jiaxiang , Zhang Zhanhui , Jin Li , Hu Yu , Wu Wei
Published: November 2018

To avoid humping bead defects in high-speed welding, this paper proposes the method of an additional and compensatory gas jet blow molten pool. A pulsed metal inert gas high-speed welding test platform was constructed for compensatory gas jet blow molten pool. A total of 304 stainless steel sheets were used as the welding workpieces under equal heat inputs. Two high-speed butt welding processes were conducted and compared, in which the workpieces were welded with and without compensatory gas jets at 154 cm/min and 167 cm/min, respectively. After high-speed welding with compensatory gas jet blow, the weld appearance was straight, uniform, and high-quality, with no humping bead or undercut defects. The macroscopic morphologies and microstructures of cross-sections of the weld at the toe, near the surface, the middle, and the bottom portion all showed the stirring effect of the gas jet on the molten pool and improved grain refinement degrees. Hardness was enhanced in the weld center and the heat-affected zone. At welding speeds of 154 cm/min and 167 cm/min, the fracture load capacities of the welds were increased by 24.9 and 10.4%, respectively.
A Damage Identification Approach for Offshore Jacket Platforms Using Partial Modal Results and Artificial Neural Networks
Authors: Guo Jiamin , Wu Jiongliang , Guo Junhua , Jiang Zhiyu
Published: November 2018

This paper presents a damage identification method for offshore jacket platforms using partially measured modal results and based on artificial intelligence neural networks. Damage identification indices are first proposed combining information of six modal results and natural frequencies. Then, finite element models are established, and damages in structural members are assumed by reducing the structural elastic modulus. From the finite element analysis for a training sample, both the damage identification indices and the damages are obtained, and neural networks are trained. These trained networks are further tested and used for damage prediction of structural members. The calculation results show that the proposed method is quite accurate. As the considered measurement points of the jacket platform are near the waterline, the prediction errors keep below 8% when the damaged members are close to the waterline, but may rise to 16.5% when the damaged members are located in deeper waters.
Experimental Verification of the Dynamic Model of Turbine Blades Coupled by a Sealing Strip
Authors: Gastaldi Chiara , Berruti Teresa M.
Published: November 2018

This paper presents the experimental-numerical comparison of a bladed system with flexible strip dampers. The experimental results constitute, to the authors’ knowledge, the first published experimental evidence on strip dampers. They explore the in-phase and out-of-phase mode of vibration of two blades coupled by a strip damper. The great influence the mode of vibration has on the strip behaviour and consequent effect on the blades’ response is highlighted, analyzed and successfully simulated numerically. Experiments are made possible by a purposely developed loading system based on compressed air. This non-contact system enables the experimenter to apply a realistic value of contact pressure on the strip without adding spurious stiffness to the system or modifying the contact conditions. The availability of experimental data obtained by imposing realistic contact conditions constitutes a true added value. It is here shown how the full stick linear FRFs (Frequency Response Functions), typically used to predict the response in case of limited excitation on blades coupled by rigid dampers, do not offer significant results in the case of flexible strip dampers.
Personalized HRTF Modeling Based on Deep Neural Network Using Anthropometric Measurements and Images of the Ear
Authors: Lee Geon Woo , Kim Hong Kook
Published: November 2018

This paper proposes a personalized head-related transfer function (HRTF) estimation method based on deep neural networks by using anthropometric measurements and ear images. The proposed method consists of three sub-networks for representing personalized features and estimating the HRTF. As input features for neural networks, the anthropometric measurements regarding the head and torso are used for a feedforward deep neural network (DNN), and the ear images are used for a convolutional neural network (CNN). After that, the outputs of these two sub-networks are merged into another DNN for estimation of the personalized HRTF. To evaluate the performance of the proposed method, objective and subjective evaluations are conducted. For the objective evaluation, the root mean square error (RMSE) and the log spectral distance (LSD) between the reference HRTF and the estimated one are measured. Consequently, the proposed method provides the RMSE of −18.40 dB and LSD of 4.47 dB, which are lower by 0.02 dB and higher by 0.85 dB than the DNN-based method using anthropometric data without pinna measurements, respectively. Next, a sound localization test is performed for the subjective evaluation. As a result, it is shown that the proposed method can localize sound sources with higher accuracy of around 11% and 6% than the average HRTF method and DNN-based method, respectively. In addition, the reductions of the front/back confusion rate by 12.5% and 2.5% are achieved by the proposed method, compared to the average HRTF method and DNN-based method, respectively.
Numerical Investigation of the Equalization Enhanced Phase Noise Penalty for M-Quadrature Amplitude Modulation Formats in Short-Haul Few-Mode Fiber Transmission Systems with Time-Domain Equalization
Authors: Delgado Mendinueta José Manuel , Klaus Werner , Sakaguchi Jun , Shinada Satoshi , Furukawa Hideaki , Awaji Yoshinari , Wada Naoya
Published: November 2018

The equalization enhanced phase noise (EEPN), caused by the interaction of the chromatic dispersion (CD) with the phase noise of the local oscillator (LO), has been extensively studied for single-mode optical communication systems. Few-mode fiber (FMF) transmission systems introduce a new channel impairment, the differential mode delay (DMD), which also creates EEPN and hence limits the maximum transmission distance of those systems. In this work, we numerically investigate the optical signal to noise ratio (OSNR) penalties caused by the EEPN in a 3-mode FMF transmission system at 25 GBd for quadrature phase-shift keying (QPSK), 16-quadrature amplitude modulation (QAM), 32-QAM and 64-QAM modulation formats when using the blind phase search (BPS) carrier phase recovery (CPR) algorithm, which has been demonstrated to be both robust and suitable for optical communication systems. Our numerical study assumes a short-span of FMF, modeled in the weakly-coupled regime, and includes two cases; the use of ideal mode-selective de/multiplexers at both ends of the FMF span (model A), and the use of ideal non-mode-selective de/multiplexers (model B). The results show that the EEPN has almost no effect in model A. However, EEPN produces a severe penalty in model B with the onset of the OSNR degradation starting for a DMD spread of the impulse response of about 100 symbols for all modulation formats investigated. The distribution ratio of the amount of phase noise between the transmitter and receiver lasers is also assessed for model B and we confirm that the degradation is mainly due to the phase noise of the LO.
Features of the Formation of the Crystal Structure, Grain Structure, Dielectric and Thermophysical Properties of Bismuth Ferrite Doped with Erbium
Authors: Pavelko Aleksey , Khasbulatov Sidek , Reznichenko Larisa , Shilkina Lidia , Gadjiev Haji , Bakmaev Abumuslim , Omarov Zairbek , Verbenko Iliya , Alyoshin Vladimir , Parinov Ivan , Chang Shun-Hsyung , Wang Hung-Yu
Published: November 2018

The crystal structure and surface morphology of ceramics as well dielectric and thermal properties of Bi1−xErxFeO3 (where x = 0.05 − 0.20, Δх = 0.05) magnetoelectric solid solutions (SS) were investigated. The regularities of changes in phase composition, microstructure, electrical and dielectric properties of objects at room temperature are established.
Deep Forest Reinforcement Learning for Preventive Strategy Considering Automatic Generation Control in Large-Scale Interconnected Power Systems
Authors: Yin Linfei , Zhao Lulin , Yu Tao , Zhang Xiaoshun
Published: November 2018

To reduce occurrences of emergency situations in large-scale interconnected power systems with large continuous disturbances, a preventive strategy for the automatic generation control (AGC) of power systems is proposed. To mitigate the curse of dimensionality that arises in conventional reinforcement learning algorithms, deep forest is applied to reinforcement learning. Therefore, deep forest reinforcement learning (DFRL) as a preventive strategy for AGC is proposed in this paper. The DFRL method consists of deep forest and multiple subsidiary reinforcement learning. The deep forest component of the DFRL is applied to predict the next systemic state of a power system, including emergency states and normal states. The multiple subsidiary reinforcement learning component, which includes reinforcement learning for emergency states and reinforcement learning for normal states, is applied to learn the features of the power system. The performance of the DFRL algorithm was compared to that of 10 other conventional AGC algorithms on a two-area load frequency control power system, a three-area power system, and the China Southern Power Grid. The DFRL method achieved the highest control performance. With this new method, both the occurrences of emergency situations and the curse of dimensionality can be simultaneously reduced.
Impact of Meteorological Conditions on PM2.5 Pollution in China during Winter
Authors: Xu Yanling , Xue Wenbo , Lei Yu , Zhao Yang , Cheng Shuiyuan , Ren Zhenhai , Huang Qing
Published: November 2018

Fine particulate matter (PM2.5) poses a risk to human health. In January 2017, the PM2.5 pollution in China was severe, and the average PM2.5 concentration had increased by 14.7% compared to that in January 2016. Meteorological conditions greatly influence PM2.5 pollution. The relationship between PM2.5 and meteorological factors was assessed using monitoring data and the Community Multiscale Air Quality modeling system (CMAQ) was used to quantitatively evaluate the impacts of variations of meteorological conditions on PM2.5 pollution. The results indicate that variations of meteorological conditions between January 2017 and January 2016 caused an increase of 13.6% in the national mean concentration of PM2.5. Unlike the Yangtze River Delta (YRD), where meteorological conditions were favorable, unfavorable meteorological conditions (such as low wind speed, high humidity, low boundary layer height and low rainfall) contributed to PM2.5 concentration worsening by 29.7%, 42.6% and 7.9% in the Beijing-Tianjin-Hebei (JJJ) region, the Pearl River Delta (PRD) region and the Chengdu-Chongqing (CYB) region, respectively. Given the significant influence of local meteorology on PM2.5 concentration, more emphasis should be placed on employing meteorological means to improve local air quality.
Satellite Observations of Cloud-Related Variations in Aerosol Properties
Authors: Várnai Tamás , Marshak Alexander
Published: November 2018

This paper presents an overview of our efforts to characterize and better understand cloud-related changes in aerosol properties. These efforts primarily involved the statistical analysis of global or regional datasets of Moderate Resolution Imaging Spectroradiometer (MODIS) and Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) aerosol and cloud observations. The results show that in oceanic regions, more than half of all aerosol measurements by passive satellite instruments come from near-cloud areas, where clouds and cloud-related processes may significantly modify aerosol optical depth and particle size. Aerosol optical depth is also shown to increase systematically with regional cloud amount throughout the Earth. In contrast, it is shown that effective particle size can either increase or decrease with increasing cloud cover. In bimodal aerosol populations, the sign of changes depends on whether coarse mode or small mode aerosols are most affected by clouds. The results also indicate that over large parts of Earth, undetected cloud particles are not the dominant reason for the satellite-observed changes with cloud amount, and that 3D radiative processes contribute about 30% of the observed near-cloud changes. The findings underline the need for improving our ability to accurately measure aerosols near clouds.
Influence of the Antarctic Oscillation on the South Atlantic Convergence Zone
Authors: Rosso Flávia Venturini , Boiaski Nathalie Tissot , Ferraz Simone Erotildes Teleginski , Robles Tiago Capello
Published: November 2018

The South Atlantic convergence zone (SACZ) is the main summer-typical atmospheric phenomenon occurring in South America, and it is of great interest because it regulates the rainy season in the most populated regions of Brazil. Frequency variability, persistence, and geographical position of the SACZ and its relationship with intraseasonal variability is well described in the literature. However, the influence of extratropical forcing on the SACZ is not well understood. Consequently, the aim of this study is to evaluate the role of the Antarctic Oscillation (AAO) in SACZ events. The persistence and frequencies of SACZ events, mean, standard deviation of total precipitation per event, lag composite of daily precipitation and geopotential height anomalies were obtained for each phase of the AAO. Therefore, frequency, persistence and total precipitation of SACZ events were higher in positive AAO (AAO+) than negative AAO (AAO−). A teleconnection mechanism between the extratropics and the SACZ region is evident in AAO+, through intensification of the polar and subtropical jets, in the days preceding SACZ. The same was not observed in the AAO−, where the anomalies were confined in the subtropical region and displaced to the South Atlantic Ocean.