bluuebunny/crossref_metadata_2025 huggingface dataset:
Cardio-Respiratory Monitoring in Archery Using a Smart Textile Based on Flexible Fiber Bragg Grating Sensors
Authors: Lo Presti Daniela , Romano Chiara , Massaroni Carlo , D’Abbraccio Jessica , Massari Luca , Caponero Michele Arturo , Oddo Calogero Maria , Formica Domenico , Schena Emiliano
Published: August 2019

In precision sports, the control of breathing and heart rate is crucial to help the body to remain stable in the shooting position. To improve stability, archers try to adopt similar breathing patterns and to have a low heartbeat during each shot. We proposed an easy-to-use and unobtrusive smart textile (ST) which is able to detect chest wall excursions due to breathing and heart beating. The sensing part is based on two FBGs housed into a soft polymer matrix to optimize the adherence to the chest wall and the system robustness. The ST was assessed on volunteers to figure out its performance in the estimation of respiratory frequency (fR) and heart rate (HR). Then, the system was tested on two archers during four shooting sessions. This is the first study to monitor cardio-respiratory activity on archers during shooting. The good performance of the ST is supported by the low mean absolute percentage error for fR and HR estimation (≤1.97% and ≤5.74%, respectively), calculated with respect to reference signals (flow sensor for fR, photopletismography sensor for HR). Moreover, results showed the capability of the ST to estimate fR and HR during different phases of shooting action. The promising results motivate future investigations to speculate about the influence of fR and HR on archers’ performance.
A Framework for Evaluating Field-Based, High-Throughput Phenotyping Systems: A Meta-Analysis
Authors: Young Sierra N.
Published: August 2019

This paper presents a framework for the evaluation of system complexity and utility and the identification of bottlenecks in the deployment of field-based, high-throughput phenotyping (FB-HTP) systems. Although the capabilities of technology used for high-throughput phenotyping has improved and costs decreased, there have been few, if any, successful attempts at developing turnkey field-based phenotyping systems. To identify areas for future improvement in developing turnkey FB-HTP solutions, a framework for evaluating their complexity and utility was developed and applied to total of 10 case studies to highlight potential barriers in their development and adoption. The framework performs system factorization and rates the complexity and utility of subsystem factors, as well as each FB-HTP system as a whole, and provides data related to the trends and relationships within the complexity and utility factors. This work suggests that additional research and development are needed focused around the following areas: (i) data handling and management, specifically data transfer from the field to the data processing pipeline, (ii) improved human-machine interaction to facilitate usability across multiple users, and (iii) design standardization of the factors common across all FB-HTP systems to limit the competing drivers of system complexity and utility. This framework can be used to evaluate both previously developed and future proposed systems to approximate the overall system complexity and identify areas for improvement prior to implementation.
Precise Pollen Grain Detection in Bright Field Microscopy Using Deep Learning Techniques
Authors: Gallardo-Caballero Ramón , García-Orellana Carlos J. , García-Manso Antonio , González-Velasco Horacio M. , Tormo-Molina Rafael , Macías-Macías Miguel
Published: August 2019

The determination of daily concentrations of atmospheric pollen is important in the medical and biological fields. Obtaining pollen concentrations is a complex and time-consuming task for specialized personnel. The automatic location of pollen grains is a handicap due to the high complexity of the images to be processed, with polymorphic and clumped pollen grains, dust, or debris. The purpose of this study is to analyze the feasibility of implementing a reliable pollen grain detection system based on a convolutional neural network architecture, which will be used later as a critical part of an automated pollen concentration estimation system. We used a training set of 251 videos to train our system. As the videos record the process of focusing the samples, this system makes use of the 3D information presented by several focal planes. Besides, a separate set of 135 videos (containing 1234 pollen grains of 11 pollen types) was used to evaluate detection performance. The results are promising in detection (98.54% of recall and 99.75% of precision) and location accuracy (0.89 IoU as the average value). These results suggest that this technique can provide a reliable basis for the development of an automated pollen counting system.
Study of the Application of Deep Convolutional Neural Networks (CNNs) in Processing Sensor Data and Biomedical Images
Authors: Hu Weijun , Zhang Yan , Li Lijie
Published: August 2019

The fast progress in research and development of multifunctional, distributed sensor networks has brought challenges in processing data from a large number of sensors. Using deep learning methods such as convolutional neural networks (CNN), it is possible to build smarter systems to forecasting future situations as well as precisely classify large amounts of data from sensors. Multi-sensor data from atmospheric pollutants measurements that involves five criteria, with the underlying analytic model unknown, need to be categorized, so do the Diabetic Retinopathy (DR) fundus images dataset. In this work, we created automatic classifiers based on a deep convolutional neural network (CNN) with two models, a simpler feedforward model with dual modules and an Inception Resnet v2 model, and various structural tweaks for classifying the data from the two tasks. For segregating multi-sensor data, we trained a deep CNN-based classifier on an image dataset extracted from the data by a novel image generating method. We created two deepened and one reductive feedforward network for DR phase classification. The validation accuracies and visualization results show that increasing deep CNN structure depth or kernels number in convolutional layers will not indefinitely improve the classification quality and that a more sophisticated model does not necessarily achieve higher performance when training datasets are quantitatively limited, while increasing training image resolution can induce higher classification accuracies for trained CNNs. The methodology aims at providing support for devising classification networks powering intelligent sensors.
Comparison of Active Electrode Materials for Non-Contact ECG Measurement
Authors: Peng Shun , Xu Ke , Chen Wei
Published: August 2019

For long-term and more convenience electrocardiograph (ECG) monitoring, an active- electrode-based ECG monitoring system, which can measure ECG through clothes, is proposed in this paper. The hardware of the system includes active electrodes, signal processing and data transmission modules and the software mainly includes a denoising algorithm based on empirical mode decomposition (EMD). Then the proposed system was verified using the comparison of the ECG signals measured synchronously by active electrodes and Ag/AgCl electrodes. In addition, three flexible materials, including conductive textile, copper foil tape and a flexible printed circuit (FPC) are developed for the sensing layer with active electrodes. To compare the performance of these three materials for the sensing layer, the ECG signals of 10 subjects were measured by different materials in three postures and several indexes for quality evaluation were calculated. Results show that effective and clear ECG waveforms can be measured by all three kinds of materials and the quality of ECG signals measured by FPC is the best by conducting a significant t-test for signal quality indexes of three materials.
Electrospun Nanofibers for Label-Free Sensor Applications
Authors: Aliheidari Nahal , Aliahmad Nojan , Agarwal Mangilal , Dalir Hamid
Published: August 2019

Electrospinning is a simple, low-cost and versatile method for fabricating submicron and nano size fibers. Due to their large surface area, high aspect ratio and porous structure, electrospun nanofibers can be employed in wide range of applications. Biomedical, environmental, protective clothing and sensors are just few. The latter has attracted a great deal of attention, because for biosensor application, nanofibers have several advantages over traditional sensors, including a high surface-to-volume ratio and ease of functionalization. This review provides a short overview of several electrospun nanofibers applications, with an emphasis on biosensor applications. With respect to this area, focus is placed on label-free sensors, pertaining to both recent advances and fundamental research. Here, label-free sensor properties of sensitivity, selectivity, and detection are critically evaluated. Current challenges in this area and prospective future work is also discussed.
An Edge-Fog-Cloud Architecture of Streaming Analytics for Internet of Things Applications
Authors: Cao Hung , Wachowicz Monica
Published: August 2019

Exploring Internet of Things (IoT) data streams generated by smart cities means not only transforming data into better business decisions in a timely way but also generating long-term location intelligence for developing new forms of urban governance and organization policies. This paper proposes a new architecture based on the edge-fog-cloud continuum to analyze IoT data streams for delivering data-driven insights in a smart parking scenario.
Assessment of CNN-Based Methods for Individual Tree Detection on Images Captured by RGB Cameras Attached to UAVs
Authors: Santos Anderson Aparecido dos , Marcato Junior José , Araújo Márcio Santos , Di Martini David Robledo , Tetila Everton Castelão , Siqueira Henrique Lopes , Aoki Camila , Eltner Anette , Matsubara Edson Takashi , Pistori Hemerson , Feitosa Raul Queiroz , Liesenberg Veraldo , Gonçalves Wesley Nunes
Published: August 2019

Detection and classification of tree species from remote sensing data were performed using mainly multispectral and hyperspectral images and Light Detection And Ranging (LiDAR) data. Despite the comparatively lower cost and higher spatial resolution, few studies focused on images captured by Red-Green-Blue (RGB) sensors. Besides, the recent years have witnessed an impressive progress of deep learning methods for object detection. Motivated by this scenario, we proposed and evaluated the usage of Convolutional Neural Network (CNN)-based methods combined with Unmanned Aerial Vehicle (UAV) high spatial resolution RGB imagery for the detection of law protected tree species. Three state-of-the-art object detection methods were evaluated: Faster Region-based Convolutional Neural Network (Faster R-CNN), YOLOv3 and RetinaNet. A dataset was built to assess the selected methods, comprising 392 RBG images captured from August 2018 to February 2019, over a forested urban area in midwest Brazil. The target object is an important tree species threatened by extinction known as Dipteryx alata Vogel (Fabaceae). The experimental analysis delivered average precision around 92% with an associated processing times below 30 miliseconds.
Use of Cyanobacterial Luminescent Bioreporters to Report on the Environmental Impact of Metallic Nanoparticles
Authors: Hurtado-Gallego Jara , Leganés Francisco , Rosal Roberto , Fernández-Piñas Francisca
Published: August 2019

Due to their ecological relevance, low cost, and easy maintenance, cyanobacteria have been used for bioreporter development. In this study, a battery of cyanobacterial bioreporters has been used to assess the ecotoxicity of four highly used metallic nanoparticles (NPs). The toxicity of these NPs was tested using the bioreporter Nostoc CPB4337 (Anabaena CPB4337). As oxidative stress is a primary toxic mechanism of metallic NPs, cyanobacterial reactive oxygen species (ROS)-detecting bioreporters were used. Metallic NPs release metal ions, which contribute to their toxic effect and the formation of ROS, so a metal-detecting bioreporter was also used to detect the bioavailable metals. The results confirm that ROS production by NPs was due to the NPs per se and not by released free-ions, which in fact were almost undetectable. Although the metal-detecting bioreporter could not detect the dissolved metal ions, it was able to detect the metallic NPs themselves, indicating that this bioreporter may be useful to detect them in the environment. ROS production varied depending on the growth medium or environmental matrices conditions and on the NP type. This work demonstrated the different levels of ROS production by metallic NPs and the importance of nanotoxicology studies in real matrices.
A Secure Lightweight Three-Factor Authentication Scheme for IoT in Cloud Computing Environment
Authors: Yu SungJin , Park KiSung , Park YoungHo
Published: August 2019

With the development of cloud computing and communication technology, users can access the internet of things (IoT) services provided in various environments, including smart home, smart factory, and smart healthcare. However, a user is insecure various types of attacks, because sensitive information is often transmitted via an open channel. Therefore, secure authentication schemes are essential to provide IoT services for legal users. In 2019, Pelaez et al. presented a lightweight IoT-based authentication scheme in cloud computing environment. However, we prove that Pelaez et al.’s scheme cannot prevent various types of attacks such as impersonation, session key disclosure, and replay attacks and cannot provide mutual authentication and anonymity. In this paper, we present a secure and lightweight three-factor authentication scheme for IoT in cloud computing environment to resolve these security problems. The proposed scheme can withstand various attacks and provide secure mutual authentication and anonymity by utilizing secret parameters and biometric. We also show that our scheme achieves secure mutual authentication using Burrows–Abadi–Needham logic analysis. Furthermore, we demonstrate that our scheme resists replay and man-in-the-middle attacks usingthe automated validation of internet security protocols and applications (AVISPA) simulation tool. Finally, we compare the performance and the security features of the proposed scheme with some existing schemes. Consequently, we provide better safety and efficiency than related schemes and the proposed scheme is suitable for practical IoT-based cloud computing environment.
Stretching Method-Based Operational Modal Analysis of An Old Masonry Lighthouse
Authors: Daskalakis Emmanouil , Panagiotopoulos Christos G. , Tsogka Chrysoula , Melis Nikolaos S. , Kalogeras Ioannis
Published: August 2019

We present in this paper a structural health monitoring study of the Egyptian lighthouse of Rethymnon in Crete, Greece. Using structural vibration data collected on a limited number of sensors during a 3-month period, we illustrate the potential of the stretching method for monitoring variations in the natural frequencies of the structure. The stretching method compares two signals, the current that refers to the actual state of the structure, with the reference one that characterizes the structure at a reference healthy condition. For the structure under study, an 8-day time interval is used for the reference quantity while the current quantity is computed using a time window of 24 h. Our results indicate that frequency shifts of 1% can be detected with high accuracy allowing for early damage assessment. We also provide a simple numerical model that is calibrated to match the natural frequencies estimated using the stretching method. The model is used to produce possible damage scenarios that correspond to 1% shift in the first natural frequencies. Although simple in nature, this model seems to deliver a realistic response of the structure. This is shown by comparing the response at the top of the structure to the actual measurement during a small earthquake. This is a preliminary study indicating the potential of the stretching method for structural health monitoring of historical monuments. The results are very promising. Further analysis is necessary requiring the deployment of the instrumentation (possibly with additional instruments) for a longer period of time.
Bin-Picking for Planar Objects Based on a Deep Learning Network: A Case Study of USB Packs
Authors: Le Tuan-Tang , Lin Chyi-Yeu
Published: August 2019

Random bin-picking is a prominent, useful, and challenging industrial robotics application. However, many industrial and real-world objects are planar and have oriented surface points that are not sufficiently compact and discriminative for those methods using geometry information, especially depth discontinuities. This study solves the above-mentioned problems by proposing a novel and robust solution for random bin-picking for planar objects in a cluttered environment. Different from other research that has mainly focused on 3D information, this study first applies an instance segmentation-based deep learning approach using 2D image data for classifying and localizing the target object while generating a mask for each instance. The presented approach, moreover, serves as a pioneering method to extract 3D point cloud data based on 2D pixel values for building the appropriate coordinate system on the planar object plane. The experimental results showed that the proposed method reached an accuracy rate of 100% for classifying two-sided objects in the unseen dataset, and 3D appropriate pose prediction was highly effective, with average translation and rotation errors less than 0.23 cm and 2.26°, respectively. Finally, the system success rate for picking up objects was over 99% at an average processing time of 0.9 s per step, fast enough for continuous robotic operation without interruption. This showed a promising higher successful pickup rate compared to previous approaches to random bin-picking problems. Successful implementation of the proposed approach for USB packs provides a solid basis for other planar objects in a cluttered environment. With remarkable precision and efficiency, this study shows significant commercialization potential.
Modeling and Control of a Six Degrees of Freedom Maglev Vibration Isolation System
Authors: Wu Qianqian , Cui Ning , Zhao Sifang , Zhang Hongbo , Liu Bilong
Published: August 2019

The environment in space provides favorable conditions for space missions. However, low frequency vibration poses a great challenge to high sensitivity equipment, resulting in performance degradation of sensitive systems. Due to the ever-increasing requirements to protect sensitive payloads, there is a pressing need for micro-vibration suppression. This paper deals with the modeling and control of a maglev vibration isolation system. A high-precision nonlinear dynamic model with six degrees of freedom was derived, which contains the mathematical model of Lorentz actuators and umbilical cables. Regarding the system performance, a double closed-loop control strategy was proposed, and a sliding mode control algorithm was adopted to improve the vibration isolation performance. A simulation program of the system was developed in a MATLAB environment. A vibration isolation performance in the frequency range of 0.01–100 Hz and a tracking performance below 0.01 Hz were obtained. In order to verify the nonlinear dynamic model and the isolation performance, a principle prototype of the maglev isolation system equipped with accelerometers and position sensors was developed for the experiments. By comparing the simulation results and the experiment results, the nonlinear dynamic model of the maglev vibration isolation system was verified and the control strategy of the system was proved to be highly effective.
Imbibition, Germination, and Early Seedling Growth Responses of Light Purple and Yellow Seeds of Red Clover to Distilled Water, Sodium Chloride, and Nutrient Solution
Authors: Costa Ana , Dias Luís , Dias Alexandra
Published: August 2019

The seeds of red clover are heteromorphic and two color morphs can be visually recognized, light purple and yellow, resulting from heterozygosity and recessive homozygosity at two loci. Here, we report the responses of seed imbibition, seed germination, and early seedling growth of the two morphs to distilled water, sodium chloride, and complete nutrient solution. The sensitivityof red clover seeds to treatments increased with the stage of development in what seems to be a cumulative process. No differences were found in seed imbibition between morphs or between treatments. In seedling growth, on the contrary, treatments were always effective, but differences between morphs were only observed in seeds that were treated with nutrient solution, whereas in the intermediate stage of seed germination, the effects by treatments were observed together with the appearance of differences between morphs in distilled water and in the treatment by sodium chloride solution. Simultaneously, the superior performance of the yellow morph that was found in germination, which appears to be a trait stable across cultivars of red clover seeds, turned into a superior performance of the light purple morph in seedling growth.
Environmental Consciousness in Local Sustainable Development: A Case Study of the Anti-Idling Policy in Taiwan
Authors: Ma Chun-Chieh , Chang Hsiao-Ping
Published: August 2019

To address the increasing impact of global warming, Taiwan has devised a variety of activities to promote energy savings and carbon reduction. Although the city of Tainan was the first in Asia to enforce an anti-idling policy, the intersection between public value creation and local sustainable development has not yet been analyzed. Hence, this article explores the anti-idling policy in Tainan through the lens of social judgment theory (SJT). It also considers criteria related to the core values of environmental, economic, and social sustainability to understand the public values held by stakeholders in Tainan. The results of this article illustrate and dismantle the differences between several groups’ understanding of public value as it relates to local sustainable development, and suggest the establishment of intersectoral collaboration and community participation regarding value perception. Although the case is specific to Taiwan, its characteristics are typical of local sustainable development globally, especially in Asia.
A New Topology of a Fast Proactive Hybrid DC Circuit Breaker for MT-HVDC Grids
Authors: Mohammadi Fazel , Nazri Gholam-Abbas , Saif Mehrdad
Published: August 2019

One of the major challenges toward the reliable and safe operation of the Multi-Terminal HVDC (MT-HVDC) grids arises from the need for a very fast DC-side protection system to detect, identify, and interrupt the DC faults. Utilizing DC Circuit Breakers (CBs) to isolate the faulty line and using a converter topology to interrupt the DC fault current are the two practical ways to clear the DC fault without causing a large loss of power infeed. This paper presents a new topology of a fast proactive Hybrid DC Circuit Breaker (HDCCB) to isolate the DC faults in MT-HVDC grids in case of fault current interruption, along with lowering the conduction losses and lowering the interruption time. The proposed topology is based on the inverse current injection technique using a diode and a capacitor to enforce the fault current to zero. Also, in case of bidirectional fault current interruption, the diode and capacitor prevent changing their polarities after identifying the direction of fault current, and this can be used to reduce the interruption time accordingly. Different modes of operation of the proposed topology are presented in detail and tested in a simulation-based system. Compared to the conventional DC CB, the proposed topology has increased the breaking current capability, and reduced the interruption time, as well as lowering the on-state switching power losses. To check and verify the performance and efficiency of the proposed topology, a DC-link representing a DC-pole of an MT-HVDC system is simulated and analyzed in the PSCAD/EMTDC environment. The simulation results verify the robustness and effectiveness of the proposed HDCCB in improving the overall performance of MT-HVDC systems and increasing the reliability of the DC grids.
Dog Owners’ Knowledge about Rabies and Other Factors That Influence Canine Anti-Rabies Vaccination in the Upper East Region of Ghana
Authors: Awuni Baba , Tarkang Elvis , Manu Emmanuel , Amu Hubert , Ayanore Martin Amogre , Aku Fortress Yayra , Ziema Sorengmen Amos , Bosoka Samuel Adolf , Adjuik Martin , Kweku Margaret
Published: August 2019

Background: Human rabies, often contracted through dog bites, is a serious but neglected public health problem in the tropics, including Ghana. Due to its high fatality rate, adequate knowledge and vaccination of domestic dogs against the disease are very crucial in reducing its burden. We examined dog owners’ knowledge level on rabies and factors that influenced anti-rabies vaccination of dogs in the Upper East Region of Ghana. Methods: This descriptive cross-sectional study was conducted among 260 randomly sampled dog owners in six communities from six Districts using a multistage sampling technique, in the Upper East Region of Ghana. An interviewer-administered questionnaire was used to collect data from the respondents. Descriptive and inferential analyses were done using STATA 14.1. Results: While knowledge about rabies was 199 (76.5%), that about anti-rabies vaccination was 137 (52.7%). District of residence (χ2 = 112.59, p < 0.001), sex (χ2 = 6.14, p = 0.013), education (χ2 = 20.45, p < 0.001) as well as occupation (χ2 = 11.97, p = 0.007) were significantly associated with rabies knowledge. District of residence (χ2 = 57.61, p < 0.001), Educational level (χ2 = 15.37, p = 0.004), occupation (χ2 = 11.66, p = 0.009), religion (χ2 = 8.25, p = 0.016) and knowledge on rabies (χ2 = 42.13, p < 0.001) were also statistically associated with dog vaccination against rabies. Dog owners with good knowledge on rabies for instance, were more likely to vaccinate their dogs against rabies compared to those with poor knowledge [AOR = 1.99 (95% CI: 0.68, 5.86), p = 0.210]. Dog owners with tertiary level of education were also 76.31 times more likely (95% CI: 6.20, 938.49, p = 0.001) to have good knowledge about rabies compared to those with no formal education. Conclusions: Dog owners in the Upper East Region of Ghana had good knowledge about rabies. This, however, did not translate into correspondingly high levels of dog vaccination against the disease. Rabies awareness and vaccination campaigns should, therefore, be intensified in the region, especially among the least educated and female dog owners.
Maize Yield and Irrigation Applied in Conservation and Conventional Tillage at Various Plant Densities
Authors: Orfanou Anna , Pavlou Dimitrios , Porter Wesley M.
Published: August 2019

Maize is one of the most highly produced crops around the world. Factors such as population density, solar radiation, temperature, availability of nutrients and water, and proper tillage method can have favorable results in increasing yield. This project began in 2015, at two different locations in Georgia (Tifton and Camilla), GA, USA, and has been evaluated for three consecutive maize growing seasons. In each location, a different irrigation method was applied; the University of Georgia (UGA) maize checkbook method was utilized in Tifton and a soil moisture sensor-based method was utilized in Camilla. The different treatments consisted of two tillage methods, conservation and conventional, and four plant densities (69K, 88K, 99K, and 133K plants/ha). The purpose of the project was the evaluation of water requirements by population and tillage method for achieving high maize yields. Soil moisture information was collected hourly in both fields. The results showed that higher plant densities do not necessarily require higher irrigation amounts and do not always have the best results in terms of yield. Conventional tillage had slightly better yield results but not statistically different from conservation tilled plots. Additionally, the results showed that applied irrigation can help in higher maize production. However, increasing the amount of water does not directly equate to higher yield results.
VIOLATION ON MAXIM OF COOPERATIVE PRINCIPLE IN THE SLOGAN
Authors: Permadi Fery Erga
Published: August 2019

This study argued that violation on maxim of cooperative principle occurs in various type of communication such as in the slogan. This study uses theory from Grice about cooperative principle as main theory and theory about pragmatic context from Cipollone as supporting theory to analyze the data. Based on Grice, violation on maxim of cooperative principle divides into four; violation one maxim, two, three, and four. Cipollone divides pragmatics context into physical context, linguistic, social, and epistemic. In this study, descriptive analysis method is used in analyzing the data. This study is expected can help to understand the strategy of creating slogan that uses violation on maxim of cooperative principle. The result of this study shows that each violation causes other violation as occurs in the violation on maxim of relevance, which is triggered by violation on maxim of quantity.
Ressonâncias do trovadorismo na lírica portuguesa: Camões, João de Deus e Natália Correia
Authors: Nascimento Josyane Malta
Published: August 2019

O artigo pretende pensar algumas das atualizações da cantiga trovadoresca na literatura portuguesa, entendendo-a como composição poética revolucionária e recorrente que, desde sua gênese, foi revisita­da com o passar dos séculos de forma sempre renovadora. Para Saraiva e Lopes, as cantigas de amigo seriam revolucionárias justamente porque colocariam como eu lírico a mulher, num mundo dominado pelo legado patriarcal. Natália Correia (como ensaísta) acredita que as cantigas de amor adiantariam a subjetividade moderna, colocando o eu em evidência e inserindo no centro de adoração a figura da mulher, num universo medieval teocêntrico. Se as cantigas de amor e amigo se desenvolveram, desde a Idade Média, de forma revolucionária, elas serão retomadas em épocas sucessivas também de manei­ra atualizada e renovadora. Para a análise poética, tomamos três períodos da literatura portuguesa: o clássico, o moderno e o contemporâneo, respectivamente com Camões, João de Deus e Natália Correia (enquanto poeta).
O circo chegou – em Jorge de Lima e João Cabral
Authors: Moreira Fernando Fiúza
Published: August 2019

Trata-se de um cotejamento analítico e interpretativo de um poema de Jorge de Lima, “O grande circo místico”, publicado em A Túnica Inconsútil (1938), e outro de João Cabral de Melo Neto, “O circo”, publicado em Crime na Calle Relator (1987), que têm em comum o tema, inscrito em ambos desde os títulos, e um procedimento, a narrativa. Cogita-se aqui a possibilidade de emulação de um poeta com outro, baseada em operações textuais, assim como em cartas, entrevistas e depoimentos.
Herberto Helder e Ernesto Cardenal, bons vizinhos e bons aliados
Authors: Silva Marco
Published: August 2019

Apesar de Herberto Helder e Ernesto Cardenal poderem ser considerados dois poetas irreverentes dis­tintos, há, no entanto, algo que os une: o interesse pela poesia primitiva, de povos e tribos indígenas, de culturas ancestrais, e a concepção de tradução dessa mesma poesia. E isto é visível, essencialmente, quer nos Poemas Mudados para Português, de Herberto Helder, quer na Antología de Poesía Primitiva, de Ernesto Cardenal. Sendo assim, a partir de uma abordagem comparativa, pretende-se demonstrar que nestes dois poetas se conseguem encontrar afinidades peculiares que os tornam não só bons vizinhos, como também bons aliados.
Luiz Gama: a irreverência da Lira e da Marimba de um Orfeu da Carapinha no Segundo Reinado
Authors: Alves dos Santos Paulo Roberto
Published: August 2019

Luiz Gonzaga Pinto da Gama, ou simplesmente, Luiz Gama (1830-1882), teve uma vida marcada pelos padecimentos que recaíram sobre os negros brasileiros ao longo de três séculos, com o agravante de ter nascido livre e, por volta dos dez anos de idade, ser vendido como escravo pelo próprio pai. O ato paterno foi revertido graças à capacidade de irresignação que o fez não só recuperar a liberdade, mas trabalhar para que centenas de outros negros a conquistassem. As ações que empreendeu no campo jurídico tive­ram correspondência no âmbito da literatura por meio da publicação das Primeiras trovas burlescas de Getulino (1859), nas quais reúne poemas que esquadrinham o escravagismo do século XIX, recorrendo a uma irreverência corrosiva para mostrar as mazelas da elite do café. Depois de longo e imerecido esquecimento, Gama tornou-se objeto de interesse de pesquisadores que vêm demonstrando o valor de sua obra, cujas qualidades se evidenciam nas análises que tratam das vinculações de sua produção com a literatura afro-brasileira, por exemplo. Concomitantemente, trata-se de uma obra de relevância para o estudo da sátira em nossa literatura, uma modalidade de expressão normalmente negligenciada, embora tenha sido recorrente no período em que o poeta viveu. A partir dessa constatação, o presente trabalho tem como objetivo contextualizar a poesia satírica de Luiz Gama, considerando a maneira irreverente pela qual questiona a realidade em que vivia. Para tanto, serão empregados princípios da teoria literária em confronto com estudos dos campos da historiografia e da sociologia.
Decomposição (in)desejada: o tópico da morte na poesia de Augusto dos Anjos e Manuel Bandeira
Authors: Da Silva Neto José Minervino , Martins Ana Claudia Aymoré
Published: August 2019

Este trabalho analisa o tópico da morte na obra dos poetas brasileiros Augusto dos Anjos e Manuel Bandeira, levando em consideração os procedimentos estéticos marcantes dos seus estilos. Procura-se en­tender como esses poetas constroem um discurso sobre a morte e suas implicações, como a angústia que acompanha a vida. O lirismo no uso poético da temática mórbida é um ponto de encontro primordial dos dois poetas; mas, como veremos, as possibilidades de aproximações e afastamentos entre dos Anjos e Bandeira não se resumem à escolha do tema ou do gênero. O primeiro recorre à linguagem parnasiana e às referências simbolistas para se expressar mas, ao fundamentar sua obra na influência do cientificismo para explicar a morte e a decomposição da matéria, escapa à reverência mística. O segundo opera frequentemente sob a chave da melancolia o fazer poético mas, à medida que sua poesia, tornando-se mais e mais moderna, dissolve o ritmo e as demais categorias da poética tradicional, tornando-a próxima da prosa, apresenta duas tendências recorrentes de reflexão sobre a falta e a finitude – o abatimento da morte sobre o eu e a ausência do outro –, bem como, usando de metáforas e figurações da morte surpre­endentes e irreverentes, desafia seu poder. Para tal, são utilizados os estudos críticos sobre os autores, em especial as contribuições de Arrigucci Jr. (1987, 1990); Gullar (2016); Paes (1985, 2003); Prado (2004); Rosenbaum (2002); Rosenfeld (1996).
Palavras recortadas, histórias pintadas — intercâmbio entre o pictórico e o literário em Almada Negreiros
Authors: Santos Mariana Pinto dos
Published: August 2019

É reconhecido por vários autores o carácter visual da escrita do artista português Almada Negreiros (1893-1970), mas as múltiplas derivações e interpretações que daí podem surgir têm ainda muito por explorar. Neste artigo procuro fazer algumas dessas interpretações sobre o intercâmbio entre o pictórico e o literário que ocorre na obra de Almada Negreiros, com ênfase precisamente no intercâmbio, isto é, não notando meramente a criação de imagens visuais literárias — o que tem sido o foco dos estudos literários — mas entendendo que a escrita de Almada deriva de uma concepção de vanguarda e de arte assente no primado da visão e que a sua prática e teoria pictóricas determinam a sua escrita. Por outro lado, abordarei também a revisitação que faz em pintura da sua obra literária. Mais do que um diálogo entre duas artes, o pictórico e o literário em Almada estão profundamente interligados e a obra daqui resultante constitui-se um exemplo da inventividade que resultou da ruptura de fronteiras entre as artes operada pelas vanguardas do início do século.
Trocas culturais e escrita literária: apontamentos
Authors: Pereira Edimilson De Almeida
Published: August 2019

Depoimento de Edimilson de Almeida Pereira à Diadorim 21(1).
The evolution of textile and clothing industry in Romania: an analysis
from the perspective of imports and exports determinants
Authors: GABRIEL BRĂTUCU , GHEORGHE EPURAN , ALEXANDRA ZAMFIRACHE , MĂDĂLINA-ADINA OPRIȘ , DANIEL ADRIAN GÂRDAN , IULIANA PETRONELA GÂRDAN , FLOAREA BUMBAȘ
Published: August 2019

The Romanian textile and clothing articles industry has known an interesting evolution after 1989, characterized through
a series of elements that are common with the evolution in the field at the level of European or world market, being
present however several factors that specifically influence the market in general and imports and exports especially.
In this article, authors analyze textile products and clothing articles imports and exports determinants using combined
statistics and data series regarding the main identified variables. The article conclusions point out possible courses of
action designed to optimize the flow of exports and imports, development of balanced trade policies in the field of textile
and clothing articles.
New technologies in the development of ergonomic garments
for wheelchair users in a virtual environment
Authors: ANDREJA RUDOLF , LUCIE GÖRLICHOVÁ , JERNEJ KIRBIŠ , JASNA REPNIK , ANDREJ SALOBIR , IRMA SELIMOVIĆ , IGOR DRSTVENŠEK
Published: August 2019

In recent years, virtual prototyping has increased in the ready- and custom-made garments’ development process using
the standing 3D body scans of Fully Mobile People (FMP). The purpose of this study was to evaluate the suitability of
the 3D scanning and virtual simulation technologies in the ergonomic garments’ development process for Immobile
People (IMP) using a wheelchair. A chair prototype was developed for the scanning of IMP. A comparative analysis of
the scanned 3D bodies’ Virtual Measurements (VM) and Manual Measurements (MM) was performed for FMP and IMP
to find if the poor body balance of the IMP affects the accuracy of 3D body models. The ergonomic garments were
developed using virtual prototyping, sewn and tested by IMP. The statistical results indicated that the mobility of a person
doesn’t affect the accuracy of the VM. The virtual simulation technology showed that ergonomic garments can be
developed without unnecessary burdening of the IMP with the usual fitting trials of the real garments.
ANALISIS PENGARUH KUALITAS PELAYANAN TERHADAP KEPUASAN DAN DAMPAKNYA PADA LOYALITAS PELANGGAN DIKLAT KETERAMPILAN PELAUT DI PIP SEMARANG
Authors: Utami Prapti
Published: August 2019

The findings on empirical phenomena are related to the fluctuation of the Sailors Skill Training participants and are still below the target of the assigned participants. Searches of previous studies found that testing on the effect of service quality on customer loyalty still showed inconclusive results. Based on the empirical and theoretical phenomena that have been mapped, this research is intended to examine about customer loyalty.The research model involves variable quality of service, customer satisfaction and loyalty. The data were obtained through interview with  questionnaires to participants of Sailor skill training at Polytechnic Science of Semarang Sailing which amounted to 95 people. The data obtained are then analyzed by Double Regression Test. The result of multiple regression test showed that service quality proved to have a positive significant effect on satisfaction, satisfaction proved to have a significant positive effect on customer loyalty and service quality proved to have a significant positive effect on customer loyalty.
PENGARUH GAYA KEPEMIMPINAN, KOMPENSASI DAN MOTIVASI TERHADAP KOMITMEN ORGANISASIONAL (Studi pada PT Bank Mandiri Syariah Tbk Semarang)
Authors: Saifunurmazah Dimas , Solovida Grace Tiana , Hidajat Taofik
Published: August 2019

Tujuan penelitian ini adalah untuk menganalisis pengaruh Gaya Kepemimpinan, Kompensasi dan Motivasi terhadap Komitmen Organisasional. Sampel yang digunakan adalah karyawan Bank Mandiri Syariah Semarang dimana jumlah sampel yang ditetapkan pada penelitian ini sebanyak 54 responden dengan menggunakan metode purposive sampling. Analisis yang digunakan meliputi uji validitas, uji reliabilitas, uji asumsi klasik, dan analisis regresi linier berganda. Data-data yang telah diolah dengan program SPSS 16.0 for windows. Hasil penelitin ini menunjukkan jika gaya kepemimpinan memiliki pengaruh namun pengaruh tersebut tidak siginifikan. Penelitian ini memperoleh hasil bahwa terdapat pengaruh antara kompensasi terhadap komitmen organisasional (Studi Kasus pada PT Bank Mandiri Syariah Tbk, Semarang). Pengaruhnya positif sebesar 0,115 artinya semakin besar kompensasi maka semakin baik komitmen organisasional karyawan (Studi Kasus pada PT Bank Mandiri Syariah Tbk, Semarang). Penelitian ini memperoleh hasil bahwa terdapat pengaruh antara motivasi terhadap komitmen organisasional (Studi Kasus pada PT Bank Mandiri Syariah Tbk, Semarang). Pengaruhnya positif sebesar 0,333 artinya semakin besar motivasi karyawan maka semakin baik komitmen organisasional karyawan (Studi Kasus pada PT Bank Mandiri Syariah Tbk, Semarang).
Effect of Service Quality on Customer Satisfaction Prepaid Electricity at PT PLN (Persero) Region S2JB Palembang area, Rayon Mariana
Authors:   Student postgraduate Magister Management at sriwijaya university, Indonesia., Putri Dina Nirwana Asri , Wahab Zakaria ,   Lecturer of Economic Faculty at Sriwijaya University Indonesia, Widad Ahmad ,   Lecturer of Economic Faculty at Sriwijaya University Indonesia
Published: August 2019

This study aims: (1) To determine impact of service quality, covers tangibles, reliability, assurances, responsiveness and emphaty simultanly to prepaid electricity customer satisfaction and (2) To determine impact of service quality, covers tangibles, reliability, assurances, responsiveness and emphaty partially to prepaid electricity customer satisfaction at PT. PLN (Persero) Region S2JB Rayon Mariana Palembang Area. The study design used is conclusive. The samples used were 100 respondens. To measure the influence between variables, used multiple linear regression and to test the hypotheses used to test the hypothesis F and t. Results of the study are: (1) There is a signifikan effect on tangibles, reliability, assurances, responsiveness and emphaty simultanly to prepaid electricity customer satisfaction, (2) There is no signifikan effect on tangibles to prepaid electricity customer satisfaction, and (3) There is a signifikan effect on reliability, assurances, responsiveness and emphaty partially to prepaid electricity customer satisfaction at PT. PLN (Persero) Region S2JB Rayon Mariana Palembang Area.
Client Server Communication with Effective Resource Balancing in Cloud Computing using Genetic Algorithm
Authors:   Research Scholar, Department of Computer Science and Engineering, Acharya Nagarjuna University, Guntur., Kambhampati Karthik , Srinagesh Dr.A. ,   Associate Professor, Department of Computer Science and Engineering, RVR&JC College of Engineering, Guntur
Published: August 2019

A network in computers consists of a set of interconnected computers using an appropriate technique. In cloud computing, every client and server is unique and has different processing capability. Each server is independent where resource allocation is an important feature for the system to appear as a single network. So the performance of the system depends on the allocation of work among the servers effectively. It is the combination of various factors like latency, throughput, consistency, reliability, and performance. The concept of dynamic resource balancing can be introduced to efficiently manage the factors to be fulfilled in a distributed network. Every client in the network benefits from dynamic resource balancing. In turn, all tasks benefit from resource balancing. The resource balancing comprises of both physical and logical features. The time, cost, performance must be optimized through resource balancing. The paper describes a model for resource balancing in the system to manage the performance through the Internet in cloud computing. This proposed algorithm can be applied to n-processor dynamic systems. This will prove effective to reduce the server resources.
Promotion of Academic Integrity and Prevention of Plagiarism in Hei Ugc Regulations 2018 – Implications for Researchers
Authors:   Director, DVVPF's IBMRD Ahmednagar-414111
Published: August 2019

UGC released a Notification dated 23rd July, 2018 adopting a set of regulations for promotion of academic integrity and prevention of plagiarism in Higher Educational Institutions. The regulations have been framed with three objectives - to create awareness about responsible conduct of research, thesis, dissertation, promotion of academicintegrity and prevention of misconduct including plagiarism in academic writing among student, faculty, researcher and staff, to establish institutional mechanism through education and training to facilitate responsible conduct of research, thesis, dissertation, promotion of academic integrity and deterrence from plagiarism and to develop systems to detect plagiarism and to set up mechanisms to prevent plagiarism and punish a student, faculty, researcher or staff of HEI committing the act of plagiarism. Thus, the focus is on preventing plagiarism. At the same time, regulation 7 of the said notification mention three exclusions from similarity checks, namely, all quoted work reproduced with all necessary permission and/or attribution, all references, bibliography, table of content, preface and acknowledgements and all generic terms, laws, standard symbols and standards equations. This article highlights the need for the researchers to meticulously take care of these three exclusions so that their work is within a reasonable limit of say 10% of similarity index. The article examines these three exclusions in details so as to create a better understanding about the exclusions. A pilot survey was also carried out to test the awareness amongst the academicians about these exclusions and this article presents the results of the survey