bluuebunny/crossref_metadata_2025 huggingface dataset:
Tracking Design of an Uncertain Autonomous Underwater Vehicle with Input Saturations by Adaptive Regression Matrix-Based Fixed-Time Control
Authors: Wu Hsiu-Ming
Published: April 2022

In this study, a simplified model of an autonomous underwater vehicle (AUV) with input saturation based on kinematic and dynamic equations was built. Subsequently, a simplified model of the AUV was used to represent its main dynamic features. In terms of trajectory tracking, only the system’s structure (i.e., the regression matrix, which is flexible and non-unique) from the nominal model of the transformed system was required to design the proposed adaptive regression matrix-based fixed-time controller (ARM-FTC). A nonlinear auxiliary sliding surface was contained in the control design to shape the system’s frequency response. When the operating point was in the neighborhood of the zero auxiliary sliding surface, nonlinear filtering gains were increased to accelerate its tracking ability. Furthermore, the skew-symmetric property condition of the time-derivative of the inertia matrix and the Coriolis and centrifugal force matrices was not necessitated for the controller design. Under an appropriate condition for lumped uncertainties, the fixed-time convergence of the auxiliary sliding surface and the corresponding tracking error is guaranteed to go to zero by the Lyapunov stability theory. Finally, a comparative study was conducted through simulations for the AUV with external disturbance and input saturation among the known parameters, learning parameters reflecting a regression matrix, and another asymptotical robust tracking control scheme. The results validate the fast tracking ability of a desired time-varying trajectory of the proposed control scheme.
Improving Agricultural Product Traceability Using Blockchain
Authors: Yao Qi , Zhang Huajun
Published: April 2022

Most traditional agricultural traceability systems are centralized, which could result in the low reliability of traceability results, enterprise privacy data leakage vulnerabilities, and the generation of information islands. To solve the above problems, we propose a trusted agricultural product traceability system based on the Ethereum blockchain in this paper. We designed a dual storage model of “Blockchain+IPFS (InterPlanetary File System)” to reduce the storage pressure of the blockchain and realize efficient information queries. Additionally, we propose a data privacy protection solution based on some cryptographic primitives and the Merkle Tree that can avoid enterprise privacy and sensitive data leakage. Furthermore, we implemented the proposed system using the Ethereum blockchain platform and provided the cost, performance, and security analysis, as well as compared it with the existing solutions. The results showed that the proposed system is both efficient and feasible and can meet the practical application requirements.
A Tightly Coupled Visual-Inertial GNSS State Estimator Based on Point-Line Feature
Authors: Dong Bo , Zhang Kai
Published: April 2022

Visual-inertial odometry (VIO) is known to suffer from drifting and can only provide local coordinates. In this paper, we propose a tightly coupled GNSS-VIO system based on point-line features for robust and drift-free state estimation. Feature-based methods are not robust in complex areas such as weak or repeated textures. To deal with this problem, line features with more environmental structure information can be extracted. In addition, to eliminate the accumulated drift of VIO, we tightly fused the GNSS measurement with visual and inertial information. The GNSS pseudorange measurements are real-time and unambiguous but experience large errors. The GNSS carrier phase measurements can achieve centimeter-level positioning accuracy, but the solution to the whole-cycle ambiguity is complex and time-consuming, which degrades the real-time performance of a state estimator. To combine the advantages of the two measurements, we use the carrier phase smoothed pseudorange instead of pseudorange to perform state estimation. Furthermore, the existence of the GNSS receiver and IMU also makes the extrinsic parameter calibration crucial. Our proposed system can calibrate the extrinsic translation parameter between the GNSS receiver and IMU in real-time. Finally, we show that the states represented in the ECEF frame are fully observable, and the tightly coupled GNSS-VIO state estimator is consistent. We conducted experiments on public datasets. The experimental results demonstrate that the positioning precision of our system is improved and the system is robust and real-time.
Automated Data Generation for Raman Spectroscopy Calibrations in Multi-Parallel Mini Bioreactors
Authors: Graf Alexander , Woodhams Angus , Nelson Michael , Richardson Douglas D. , Short Steven M. , Brower Mark , Hoehse Marek
Published: April 2022

Raman spectroscopy is an analytical technology for the simultaneous measurement of important process parameters, such as concentrations of nutrients, metabolites, and product titer in mammalian cell culture. The majority of published Raman studies have concentrated on using the technique for the monitoring and control of bioreactors at pilot and manufacturing scales. This research presents a novel approach to generating Raman models using a high-throughput 250 mL mini bioreactor system with the following two integrated analysis modules: a prototype flow cell enabling on-line Raman measurements and a bioanalyzer to generate reference measurements without a significant time-shift, compared to the corresponding Raman measurement. Therefore, spectral variations could directly be correlated with the actual analyte concentrations to build reliable models. Using a design of experiments (DoE) approach and additional spiked samples, the optimized workflow resulted in robust Raman models for glucose, lactate, glutamine, glutamate and titer in Chinese hamster ovary (CHO) cell cultures producing monoclonal antibodies (mAb). The setup presented in this paper enables the generation of reliable Raman models that can be deployed to predict analyte concentrations, thereby facilitating real-time monitoring and control of biologics manufacturing.
Chessboard Corner Detection Based on EDLines Algorithm
Authors: Dan Xizuo , Gong Qicheng , Zhang Mei , Li Tao , Li Guihua , Wang Yonghong
Published: April 2022

To improve the robustness and accuracy of the corner-detection algorithm, this paper proposes a camera-calibration method based on the EDLines algorithm for the automatic detection of chessboard corners. The EDLines algorithm is initially used to perform straight-line detection on the calibration image. The features of the broken straight lines at the corners are then used to filter the straight lines and remove the background straight lines outside the chessboard. The pixels in the rectangular area around the filtered straight line are sorted by the gray gradient. After using the sorted results to fit the straight line, the coordinates of the intersection of the straight lines are taken as the initial coordinates of the corners and perform subpixel optimization on them. Finally, the corner points are sorted by the conversion between pixel-coordinate systems. The camera exposure time changes and complex imaging-background experiments show that the algorithm has no missed detection and redundancy in corner detection. The average reprojection error is found to be less than 0.05 pixels, which can be used in actual calibration.
Autonomous Vehicle State Estimation and Mapping Using Takagi–Sugeno Modeling Approach
Authors: Chaubey Shivam , Puig Vicenç
Published: April 2022

This paper proposes an optimal approach for state estimation based on the Takagi–Sugeno (TS) Kalman filter using measurement sensors and rough pose obtained from LIDAR scan end-points matching. To obtain stable and optimal TS Kalman gain for estimator design, a linear matrix inequality (LMI) is optimized which is constructed from Lyapunov stability criteria and dual linear quadratic regulator (LQR). The technique utilizes a Takagi–Sugeno (TS) representation of the system, which allows modeling the complex nonlinear dynamics in such a way that linearization is not required for the estimator or controller design. In addition, the TS fuzzy representation is exploited to obtain a real-time Kalman gain, avoiding the expensive optimization of LMIs at every step. The estimation schema is integrated with a nonlinear model-predictive control (NMPC) that is in charge of controlling the vehicle. For the demonstration, the approach is tested in the simulation, and for practical validity, a small-scale autonomous car is used.
A Systematic Literature Review on Machine and Deep Learning Approaches for Detecting Attacks in RPL-Based 6LoWPAN of Internet of Things
Authors: Al-Amiedy Taief Alaa , Anbar Mohammed , Belaton Bahari , Kabla Arkan Hammoodi Hasan , Hasbullah Iznan H. , Alashhab Ziyad R.
Published: April 2022

The IETF Routing Over Low power and Lossy network (ROLL) working group defined IPv6 Routing Protocol for Low Power and Lossy Network (RPL) to facilitate efficient routing in IPv6 over Low-Power Wireless Personal Area Networks (6LoWPAN). Limited resources of 6LoWPAN nodes make it challenging to secure the environment, leaving it vulnerable to threats and security attacks. Machine Learning (ML) and Deep Learning (DL) approaches have shown promise as effective and efficient mechanisms for detecting anomalous behaviors in RPL-based 6LoWPAN. Therefore, this paper systematically reviews and critically analyzes the research landscape on ML, DL, and combined ML-DL approaches applied to detect attacks in RPL networks. In addition, this study examined existing datasets designed explicitly for the RPL network. This work collects relevant studies from five major databases: Google Scholar, Springer Link, Scopus, Science Direct, and IEEE Xplore® digital library. Furthermore, 15,543 studies, retrieved from January 2016 to mid-2021, were refined according to the assigned inclusion criteria and designed research questions resulting in 49 studies. Finally, a conclusive discussion highlights the issues and challenges in the existing studies and proposes several future research directions.
Human Activity Recognition Data Analysis: History, Evolutions, and New Trends
Authors: Ariza-Colpas Paola Patricia , Vicario Enrico , Oviedo-Carrascal Ana Isabel , Butt Aziz Shariq , Piñeres-Melo Marlon Alberto , Quintero-Linero Alejandra , Patara Fulvio
Published: April 2022

The Assisted Living Environments Research Area–AAL (Ambient Assisted Living), focuses on generating innovative technology, products, and services to assist, medical care and rehabilitation to older adults, to increase the time in which these people can live. independently, whether they suffer from neurodegenerative diseases or some disability. This important area is responsible for the development of activity recognition systems—ARS (Activity Recognition Systems), which is a valuable tool when it comes to identifying the type of activity carried out by older adults, to provide them with assistance. that allows you to carry out your daily activities with complete normality. This article aims to show the review of the literature and the evolution of the different techniques for processing this type of data from supervised, unsupervised, ensembled learning, deep learning, reinforcement learning, transfer learning, and metaheuristics approach applied to this sector of science. health, showing the metrics of recent experiments for researchers in this area of knowledge. As a result of this article, it can be identified that models based on reinforcement or transfer learning constitute a good line of work for the processing and analysis of human recognition activities.
Analytical Methods and Application of Separation Techniques in Food Science
Authors: Drabińska Natalia , Ferreiro-González Marta
Published: April 2022

Food chemistry is a branch of chemistry that aims to characterize the chemical composition of food products, both qualitatively and quantitatively [...]
Alaska Native Subsistence Rights: Taking an Anti-Racist Decolonizing Approach to Land Management and Ownership for Our Children and Generations to Come
Authors: Gordon Heather Sauyaq Jean
Published: April 2022

The colonization of Indigenous Peoples in Alaska was based on racism and founded the current systemic racism, discrimination, and marginalization they experience today. Land stewardship was in the hands of Indigenous Peoples, and through colonization their land and rights to steward that land were taken away. This paper is based on a participatory research project conducted in partnership with the Ninilchik Village Tribe (NVT) in Alaska utilizing ethnographic futures research scenario storytelling through Indigenous methodologies. Scenario interviews with community members explored land-based understandings of Indigenous sustainability and the roles that subsistence, food security, and food sovereignty have in maintaining sustainability and cultural continuity for children in the future. Due to state and federal land and water management practices, Alaska Natives are limited in their abilities to practice subsistence and steward their lands. An anti-racist approach to decolonizing land management and ownership is key to Alaska Natives regaining control of their subsistence rights for food security and cultural continuity for future generations. This paper speaks to policy makers, explaining the current racist and colonial situation and suggests an antiracist and decolonizing path forward through respecting Tribal sovereignty, prioritizing Indigenous-led stewardship, and giving land back to the Alaska Native Tribal Nations.
Composites of (C4F)n and (CF)n Synthesized by Uncatalyzed Fluorination of Graphite
Authors: Walder Brennan J. , Schorr Noah B. , Brunke Lyle B. , Siegal Michael P. , Alam Todd M. , Fritzsching Keith J. , Lambert Timothy N.
Published: April 2022

A new solid-state 19F magic-angle spinning NMR signal at an isotropic 19F chemical shift of −53 ppm is measured from graphite fluoride synthesized by reaction of graphite with F2 at temperatures above 750 K with no catalyst. Two-dimensional NMR suggests the −53 ppm 19F NMR signal originates from covalent fluoromethanetriyl groups belonging to ordered (CyF)n bulk domains composited with the major (CF)n domains. Quantitative 19F and 13C NMR find y=4.32±0.64. DFT calculations of NMR chemical shifts for unsaturated fluorographene models show that a (C4F)n phase with fluorine bound covalently to a single side of the carbon layer best explains the observed NMR chemical shifts. We assign the new phase to this (C4F)n structure, which constitutes up to 15% of the carbon in our graphite fluoride composites. The (C4F)n content of the composite affects bulk electrochemical properties in a manner similar to graphite fluorides produced by conventional, catalyzed fluorination processes.
Residual Levels of Mercury, Cadmium, Lead and Arsenic in Some Commercially Key Species from Italian Coasts (Adriatic Sea): Focus on Human Health
Authors: Barone Grazia , Storelli Arianna , Garofalo Rita , Mallamaci Rosanna , Storelli Maria Maddalena
Published: April 2022

This study provides information on the potential human health risk of Hg, Cd, Pb and As exposure from consumption of two fish species (Umbrina cirrosa and Sciaena umbra) in the general population and in high-level fish consumers. The concentrations did not show significant differences between the two species, and no fish length element level–body-length relationship was observed, except for Hg. The average metal(loid) levels, irrespective of species, varied in the following ranges: Hg = 0.18–0.19, Cd = 0.07–0.10, Pb = 0.10–0.12, As = 0.59–0.69 μg g−1 w.w. The concentrations remained below the maximum permissible limits (MPLs) for human consumption, except for Cd. The estimated intakes of Hg, Cd and Pb in both consumption scenarios were lower than the respective PTWI/PTMIs, as well as those of inorganic As, which were even lower than the BMDL01. The non-carcinogenic risk (THQ) did not reveal any concerns, except for Hg. The lifetime health cancer risk (ILCR) suggested hazard exclusively from Cd, although for high-level fish consumers, even the ILCR of inorganic As was, in some cases, above the acceptable range. Continuous monitoring of metal(loid) levels in these fish is strongly recommended because the results demonstrate the occurrence of potential health risks, especially in high-level fish consumers, due to the presence of Hg and Cd.
Buckling Simulation of Simply Support FG Beam Based on Different beam Theories
Authors: Neamah Raghad , Nassar Ameen , Alansari Luay
Published: April 2022

In this paper, a new model of beam was built to study and simulate the buckling behavior of function graded beam. All equations of motion are derived using the principal of the minimum total potential energy and based on Euler-Bernoulli, first and high order shear deformation Timoshenko beam theory. The Navier solution is used for simply supported beam, and exact formulas found for buckling load. The properties of material of FG beam are assumed to change in thickness direction by using the power law formula. The dimensionless critical buckling load is calculated analytically by the FORTRAN program and numerically by ANSYS software. In the beginning, the analytical and numerical results are validated with results available in previous works and it is also has very good agreement in comparison with and some researchers. In the present study, the lower layer of the graded beam is made up of aluminum metal. As for the properties of the rest of the layers, they are calculated based on the modulus ratios studied. The effect of length to thickness ratio, modulus ratio, and power law index on the dimensionless critical buckling load of function graded beam calculating by FORTRAN and ANSYS programs are discussed. The numerical analysis of function graded beam offers accurate results and very close to the analytical solution using Timoshenko Beam theory.
Environmental Impact Assessment Study for Shatt Al-Arab River Receiving Industrial Wastewater
Authors: Mohammed Alya , Al Chalabi Ahmed
Published: April 2022

Shatt Al-Arab river has been used as the raw material for the drinking water, irrigation and fish purposes in Basrah city. Concurrently, this river has been polluted by domestic, farming and industrial waste. Three main factories lie on the bank of Shatt Al-Arab river: Al-Hartha Paper Mill, Hartha Power Station and Al-Najibia Power Plant. All these consume water from the river and return their wastewater back to it. The aim of this study is to assess the water quality of Shatt Al-Arab river and its suitability for drinking, irrigation and aquatic life through physicochemical analysis temperature, pH, EC, Total Dissolve Solid (TDS), Cl−, Na+, K+, Ca+2, Mg+2, HCO3 total hardness, Biological Oxygen Demand (BOD5), Dissolved Oxygen (DO), Chemical Oxygen Demand (COD). BOD5 concentration near factories showed polluted water, unsafe and requiring costly treatment to use for drinking water. Sodium concentration is a key factor for irrigation, which represent by SAR and SSP. As SSP exceed 75.73 % in water near these factories, this could breakdown soil structure and can damage agriculture area. The high concentrations of BOD5 and COD could pose a threat to aquatic life and fishes. As Shatt Al-Arab river is used for different purpose, the result in this study showed polluted water near industrial areas. Therefore, it is recommended to have regular data on water quality for this river near these areas.
Assessment of Annual Sediment Load Using Mike 21 Model in Khour Al-Zubair Port, South of Iraq
Authors: Dakheel Ahmed , Al-Aboodi Ali , Abbas Sarmad
Published: April 2022

Although estuarine locations provide natural safety and protection for the construction of harbours and other infrastructure, they are prone to natural filling due to sediment settlement. As a result, dredging is required regularly to keep navigation channels and harbours safe and functional. A numerical model has been developed in this study to compute annual sediment load in Khour Al-Zubair Port, South of Iraq, setting up a MIKE 21 FM model. MIKE 21 FM was developed by the Danish Hydraulic Institute (DHI) where provides the capability of simulation of a hydrodynamic model (HD) coupled with the mud transport model (MT). The model operates with an unstructured mesh of triangles and quadrilateral elements of different sizes. Field and experimental data were provided during two periods (Neap and Spring) for calibration and verification process. According to the sensitivity analysis results, it is clear that the settling velocity is an essential parameter. Based on the results of the calibrated model, there is annual sedimentation of 1220500.64 tons/year. The primary deposition took place in the meandering of the Khour Al-Zubair estuary and behind the piers.
Comparison the Hydraulic Harvested Energy with the Electromagnetic Systems and the Spent Energy on the Active System
Authors: Dinar Murtadha , Abid Haider , Khalaf Hassanein
Published: April 2022

An energy-harvesting hydraulic regeneration suspension system is described in this article, which includes a hydraulic motor, a spool valves, and a hydraulic cylinder. Regenerative actuators are built using a hydraulic transmission system as their inspiration. The proposed regenerative actuator is implemented in the vehicle's non-linear suspension system for a complete model. MATLAB Simulink is utilized to generate and simulate the entire vehicle's regenerative suspension system, which has force properties which are nonlinear with hydraulic actuators equations with energy harvesting from regenerative actuators. During the mathematical simulation, the effect of pressure differential on the spool valve's operation is also taken into account. The quantity of captured energy is compared to the energy expended on the active actuator and the energy generated with the electromagnetic actuator at three distinct input signals at three different pressure level (10, 30 and 50 bars) (random, sinusoidal, and square). The energy generated in the regenerative hydraulic actuator at three pressure levels behaves the same as the active actuator in terms of response, plus the highest pressure of 50 bar is closely comparable to the active system in terms of energy harvest and gradually decreases as the output pressure drops in addition to the behavior of the electromagnetic and its comparison with the wasted energy of the active system.
Vulneraciones al debido proceso en audiencia virtual de Juicio Oral en delitos contra la libertad sexual
Authors: Mamani Cárdenas María del Rosario , De Piérola García Violeta María
Published: April 2022

En las audiencias presenciales, antes de la pandemia, la utilización de las herramientas tecnológicas actúa como medios facilitadores para darle prontitud a los procesos judiciales penales, utilizándose únicamente por videoconferencia para garantizar la presencia de los reos en cárcel privados de su libertad, sin embargo, en el contexto de la pandemia (Covid-19), se ha modificado la forma de llevarse a cabo las audiencias, limitando la concurrencia de las partes procesales. El presente artículo tuvo como objetivo analizar las audiencias virtuales de juicio oral en relación a la vulneración al principio de inmediación. Se empleó una metodología de investigación de tipo básica, desde un enfoque cualitativo, de nivel descriptivo con el método etnográfico y coetáneamente con análisis de dos audiencias en el distrito judicial de Ventanilla, Lima, Perú. Se concluyó que, al llevarse a cabo las audiencias virtuales de juicio oral en los delitos contra la libertad sexual se afecta el principio de inmediación, la valoración de la prueba y el principio de contradicción.
Questions éthiques liées à l'utilisation des objets connectés chez les animaux
Authors: Guattéo Raphaël , Bagaini François , Chambrin Jean-Luc , Chambrin Cécile , Santaner Grégory , Valentin-Smith Annick
Published: April 2022

En 2020, le nombre d’objets connectés pour les animaux pourrait atteindre 80 milliards. Si les développements techniques sont souvent porteurs d’amélioration, de nombreuses questions éthiques se posent. Tout d’abord sur les performances des outils eux-mêmes (efficacité, innocuité) qu’il conviendrait d’encadrer. Le choix d’équiper les animaux pourrait faire également l’objet de questionnement notamment au regard de leur caractère invasif ou de leur réel intérêt pour le bien-être de l’animal. La question d’une éventuelle distanciation de l’homme avec l’animal qui ne serait plus vu que par le prisme de l’outil et de la donnée se pose également de même que l’utilisation des données qui pourrait aboutir aussi bien à affiner la connaissance et favoriser la diversité des animaux qu’à l’autre extrême aboutir à une norme standard pour tous. Enfin la question de la propriété des données est centrale et mérite d’être a minima questionnée. Penser à l’éthique c’est déjà en faire.
Surveillance sanitaire des coquillages en France
Authors: Laporte Eric
Published: April 2022

L'Institut français de recherche pour l’exploitation de la mer (Ifremer) est l’acteur historique de la surveillance sanitaire des zones de production de coquillages vivants. La réorientation stratégique des objectifs et missions de l''Institut les a conduits à réfléchir au transfert de missions éprouvées pour lesquelles de nouveaux acteurs pourraient être identifiés, notamment la mise en oeuvre des réseaux de surveillance microbiologique et phycotoxinique REMI et REPHYTOX. Après avoir situé l’importance de la filière conchylicole en France, le contexte sanitaire, et expliqué le nouveau rôle des laboratoires départementaux d’analyses (LDA) littoraux dans la surveillance, le présent article décrit la phase de transferts 2018-2020 orchestrée par la DGAl avec un pilotage départemental des directions départementales interministérielles (DDI), ainsi que l''appui des coordinations REMI-REPHYTOX et des laboratoires littoraux (LER) de l'Ifremer. La deuxième partie porte sur l’évolution du réseau 2021-2023. La discussion-conclusion recontextualise l’histoire récente de cette démarche exemplaire qui a permis de constituer un réseau cohérent et solidaire de partenaires, dans un contexte «One Health » .
Inherent Anharmonicity of Harmonic Solids
Authors: Agne Matthias T. , Anand Shashwat , Snyder G. Jeffrey
Published: April 2022

Atomic vibrations, in the form of phonons, are foundational in describing the thermal behavior of materials. The possible frequencies of phonons in materials are governed by the complex bonding between atoms, which is physically represented by a spring-mass model that can account for interactions (spring forces) between the atoms (masses). The lowest-order,
harmonic
, approximation only considers linear forces between atoms and is thought incapable of explaining phenomena like thermal expansion and thermal conductivity, which are attributed to nonlinear,
anharmonic
, interactions. Here, we show that the kinetic energy of atoms in a solid produces a pressure much like the kinetic energy of atoms in a gas does. This vibrational or
phonon pressure
naturally increases with temperature, as it does in a gas and therefore results in a thermal expansion. Because thermal expansion thermodynamically defines a Grüneisen parameter

γ

, which is a typical metric of anharmonicity, we show that even a harmonic solid will necessarily have some anharmonicity. A consequence of this phonon pressure model is a harmonic estimation of the Grüneisen parameter as

γ
≈

3
/
2

3
−
4

x

2

/

1
+
2

x

2

, where

x
=

v

t

/

v

l

is the ratio of the transverse and longitudinal speeds of sound. We demonstrate the immediate utility of this model by developing a high-throughput harmonic estimate of lattice thermal conductivity that is comparable to other state-of-the-art estimations. By linking harmonic and anharmonic properties explicitly, this study provokes new ideas about the fundamental nature of anharmonicity, while also providing a basis for new material engineering design metrics.
Youth Participation and Social Media
Authors: Sackl-Sharif Susanne , Goldgruber Eva , Dvoršak Lea , Radkohl Sonja
Published: April 2022

This work-in-progress-paper presents the multi-layered research design of the Austrian team in the U-YouPa project. First, we give a brief overview of Social Media use in Austria. After a short description of our research design at a glance, we focus on our methodological considerations for four case studies. Our research approach can be used to explore youth in its diversity and to prevent limited perspectives.
Linguistic Characteristics of Social Media Messages Spreading across Geographic and Linguistic Boundaries
Authors: Yu Xinchen , Boy Jeremy , Nielsen Rene Clausen , Hong Lingzi
Published: April 2022

Social media enable messages to be exchanged beyond geographic constraints. Some of the messages could be shared and forwarded by people with different cultural backgrounds across different geographical regions. Studying the content of messages that can reach diverse populations is important for practices such as movement propagation and global marketing. Existing studies mainly investigated the characteristics of messages that are popular, i.e., shared or forwarded by more users. As the diffusion of information is prone to be echoed inside certain geographical and linguistic boundaries, popular messages are not always to be shared and spread across geographical and linguistic boundaries. We investigated the linguistic characteristics of social media messages that can reach and be disseminated by people across nations, and across geographic and linguistic boundaries in the MeToo movement. Specifically, we analyze the diffusion paths of messages according to the geolocation of tweets and conducted statistical analysis to compare the linguistic characteristic of tweets that spread across geographical or linguistic boundaries with those that do not. We focus on the linguistic characteristics from three aspects: ‘emotions’, ‘social relations’, and ‘economics, politics, and religion’. Our findings reveal that popular messages tend to contain more negative emotions, however, messages with negative emotions are unlikely to be disseminated across geographical or linguistic boundaries. On the other hand, messages on economic topics or non-adults’ issues are more probable to be disseminated universally. The findings provide insights on the content that is more probable to be shared and disseminated by people with different cultural backgrounds across geographical regions.
I love to hate!: the racist hate speech in social media
Authors: Miranda Sandra , Malini Fábio , Di Fátima Branco , Cruz Jorge
Published: April 2022

It is undeniable that, nowadays, hate speeches have flourished, they have become every day, banal and available to everyone. The interaction allowed by the use of devices, the potential of ICT and Social Media, formed a new participatory culture and contributed to rethinking social dynamics. The supposed illusion of anonymity and the rapid dissemination of narratives and images opened space for the proliferation of p hateful discourses against minority groups, such as those of a racist nature. This research intends to study, from the Digital Social Networks (DSN), the communicational flows of racist hate speeches in Portugal. Specifically, we propose to diagnose racist hate speech in the DSN; understand and characterize the narratives that support the spread of racist hate speech in DSN; and analyze which content and hate narratives generate more engagement in DSN; In this study, a mixed convergent methodology will be adopted. The quantitative approach will combine the use of digital methods with the analysis of social networks and graph theories. There will be 2 panels of 2 social networks (Facebook and Instagram), totaling 24 months of data collection. The qualitative approach will resort to the content analysis of the comments. In terms of results, we intend to strengthen scientific production in the area and develop a barometer on racist hate speech in Portugal.
Community Management on Facebook: How to Solve Problems with Negative Reactions and Comments from Groundswell?
Authors: Igor  , Jurišová Vladimíra
Published: April 2022

Social networks, by their very nature, have not only given people from around the world the opportunity to connect but also have allowed for a collective and global exchange of views and thoughts among all users. Such an exchange of views has a significant impact even on commercial players - on brands, for which presence and communication on social networks have become second nature. Through the functionality of individual social networking sites, users are given a wide range of opportunities to express their views on brands quickly and flexibly. Such a groundswell impact may be both positive and negative, but a negative effect poses a real and serious threat. Today the space of social networks is undoubtedly fuller of negative emotions than ever before. In communication, users blur the boundaries of what is acceptable, they prefer criticism in communication, and some thrive on creating and spreading hatred. This kind of behavior and user communication threatens brands on social networks. One negative remark leveled at the brand, and a negative post not resolved with its author, could trigger an avalanche of criticism, and have a devastating impact on the brand. Criticism that indirectly affected the brand may soon spread to all social network users in the country and around the world. The topic can also go beyond social networking websites and reach other mass media. For this reason, it is crucial that brands not only know how to communicate proactively in a social network environment but also know how to respond reactively to negative comments, criticism, and hate. The purpose of this article is to develop easy-to-use and generalized communicative approaches and rules, that are useful not only on Facebook and should make it easy for the brands to manage negative reactions of the audience and communication crisis. Brands that acquire a suitable and quick way to respond to such situations can thus be skillfully able to maintain a good reputation, build a brand and equally important, increase their competitiveness in the market.
APLIKASI UJI KEPRIBADIAN BERDASARKAN MULTIPLE INTELLIGENCES BERBASIS WEB MENGGUNAKAN METODE PROTOTYPING
Authors: Rahmadhany Gina , Bin Lukman Khairul Umam Syaliman
Published: April 2022

Multiple Intelligences (MI) yang dalam bahasa Indonesia diterjemahkan sebagai kecerdasan majemuk atau kecerdasan ganda dikembangkan oleh Howard Gardner, ahli psikologi perkembangan dan guru besar pendidikan pada Graduate School of Education, Harvard University, Amerika Serikat. Teorinya tentang Multiple Intelligences (MI) dipublikasikan pada tahun 1993. Gardner percaya bahwa sesuai dengan namanya yaitu kecerdasan majemuk, kompetensi kognitif manusia lebih baik dijelaskan dalam beberapa kecerdasan seperti kemampuan, bakat, atau keterampilan mental, yang disebut dengan kecerdasan. Setiap orang memiliki kemampuannya masing-masing dan memiliki kadar tertentu di masing-masing kecerdasan tersebut. Dari penelitian ini menghasilkan sebuah aplikasi berbasis web yang dapat mengidentifikasi jenis kepribadian dan saran untuk masing-masing kepribadian lalu info menarik tentang masing-masing kepribadian. Di bangun menggunakan framework laravel, Bahasa pemrograman php dan MYSQL, dan menggunakan metode pengembangan prototyping sebanyak dua kali putaran, sehingga kebutuhan dari user terhadap sistem dapat terpenuhi dengan maksimal. Hasil pengujian usability melalui 30 responden dinyatakan sistem tersebut sangat layak digunakan, lalu menggunakan tes validasi hasil yang didapat pada sistem dan perhitungan manual didapatkan hasil yang telah akurat dari sepuluh sample yang digunakan dan terakhir hasil pengujian user acceptence test,            didapatkan seluruh fungsional sistem telah berjalan sesuai yang di harapkan
Teknik Audio Forensik untuk Analisis Rekaman Suara sebagai Barang Bukti Digital
Authors: Hendra Hendra , Rasio henim Silvana
Published: April 2022

Teknologi mengambil peranan penting dalam kehidupan sehari-hari bagi orang banyak. Lalu, Permasalahan yang muncul adalah penggunaan teknologi yang tidak tepat dan menyalahgunakannya untuk kepentingan pribadi sehingga menimbulkan kejahatan siber seperti transaksi obat-obatan terlarang. Adanya barang bukti digital dapat membantu dalam mengungkap kasus tindak pidana kejahatan siber menggunakan barang bukti digital rekaman suara. Oleh sebab itu, penelitian ini diharapkan dapat mengungkap kejahatan siber tersebut. Upaya untuk melakukan analisis terhadap rekaman suara dilakukan dengan menggunakan teknik audio forensik untuk menunjukkan kepemilikan suara sehingga dapat dijadikan barang bukti. Disyaratkan minimal 20 kata yang memiliki kesamaan antara suara barang bukti dan suara subjek. Dari hasil penelitian didapatkan bahwa sampel A memiliki kata yang  identik dengan barang bukti lebih dari 20 kata. Sampel A memiliki sebanyak 21 kata identik pada analisis pitch, 5 kata pada analisis statistik anova, 26 kata pada analisis graphical distribution dan 24 kata pada analisis spectrogram dari 30 kata yang dianalisis.  Dapat disimpulkan bahwa teknik audio forensik dapat menunjukkan kepemilikan rekaman suara dengan hasil rekaman suara sampel A identik dengan barang bukti
Pemanfaatan ReactJS dan Protokol MQTT untuk Visualisasi Sinyal Lampu dan Notifikasi secara Waktu Nyata pada Sistem Pemonitor APILL di Kota Pekanbaru
Authors: Wibowo Ardianto , Zain Muhammad Mahrus
Published: April 2022

Simpang bersinyal yang ada di kota Pekanbaru mayoritas masih diatur oleh controller yang bersifat analog. Masalah utama yang terjadi dengan kondisi ini adalah terjadinya kemacetan lalu lintas yang lama apabila terjadi kerusakan pada controller APILL.Hal ini diakibatkan informasi yang masuk ke Dinas Perhubungan kota Pekanbaru terkait permasalahan APILL masih mengandalkan laporan dari petugas kepolisian atau masyarakat. Sehingga, Dinas Perhubungan kota Pekanbaru tidak bisa langsung bertindak dengan segera begitu permasalahan terjadi. Terkait dengan permasalahan tersebut, maka telah dikembangkan sebuah sistem terintegrasi yang berfungsi untuk melakukan manajemen dan monitoring kondisi APILL secara real time. Pada penelitian ini difokuskan untuk membahas pemanfaatan ReactJS dan MQTT. ReactJS dimanfaatkan untuk menampilkan data-data sinya lampu APILL serta memberikan notofikasi secara real time ke dalam browser web. Sedangkan MQTT digunakan sebagai media untuk mengelola komunikasi data antara modul deteksi yang dipasang pada controller APILL dilapangan ke server Back-End. Data ini lah yang kemudian ditampilkan ke browser web melalui React JS. Dengan adanya solusi pada penelitian ini, maka diharapkan Dinas Perhubungan kota Pekanbaru dapat mengetahui permasalahan lampu APILL di lapangan secara cepat, sehingga bisa segera mengambil tindakan relevan yang diperlukan.
MODELADO DE LAS VELOCIDADES INTERNAS DE CALENTAMIENTO Y ENFRIAMIENTO DE FRUTOS. CASO: LIMÓN MEXICANO
Authors: Valle-Guadarrama Salvador , Hernández-Álvarez Rosa Lidia , Covarrubias-Gutiérrez Ignacio
Published: April 2022

Los tratamientos de calentado y enfriado son prácticas aplicadas con frecuencia a frutas cosechadas, para alargar su vida útil. En ambos casos es fundamental conocer el tiempo requerido para que el centro del material alcance una temperatura determinada. El objetivo de este trabajo consistió en desarrollar una metodología confiable para la determinación del tiempo de calentamiento o enfriamiento en frutas, que aporte elementos que permitan mejorar su manejo postcosecha. Se tomó como sujeto de estudio al fruto de limón mexicano [Citrus aurantifolia (Christm.) Swingle]. Se hizó un modelado de los mecanismos de conducción y convección de calor que se producen en el interior del fruto y entre éste y el medio circundante, respectivamente. Los modelos sirvieron para determinar el coeficiente de difusividad térmica del sistema de estudio, que resultó igual a 10.2×10-8 m2 s-1, y el coeficiente de convección térmica del proceso que varió entre 19 y 58 W m-2 °C-1. Se definió también que el tiempo de acondicionamiento de la temperatura es mínimo si el aire en contacto con el fruto se desplaza con velocidad de 3.7 m s-1.
Analisis Fitur dan Convolutional Neural Network pada Pengenalan Aksen Ucapan
Authors: Widyowaty Dwi Sari
Published: April 2022

Each country has its characteristics and culture, one of these characteristics is the accent of speech. By listening to someone's accent, we can identify the country of origin of the speaker. Research on accent recognition includes Automatic Speech Recognition (ASR) Technology which is currently being developed, an example of ASR technology, namely Virtual Assistant, the development of this research can be more intelligent Virtual Assistant because it can provide an accent from a speaker. In this study, the authors tried to classify accents from various countries (5 classes), namely English, Spanish, Mandarin, French and Arabic. The dataset used in this study consists of English 627 audio, Spanish 220 audio, Mandarin 132 audio, French 80 audio, and Arabic 172 audio, where all sentences are the same sentence in English. In this study, the audio features used are Mel - Frequency Cepstral Coefficients (MFCC), Zero Crossing Rate (ZCR), and Energy (in librosa it is called RMS). Audio feature extraction generates an array of each audio, the result of audio feature extraction will be the Convolutional Neural Network (CNN) Method input for classifying the accent. This research resulted in 51.30% accuracy for the MFCC feature, 48.05% for the ZCR feature, and 51.95% for the Energy feature. The Energy feature gets good accuracy, followed by the MFCC and ZCR features.
IMPLEMENTASI INFORMASI DOSEN ITB STIKOM BALI BERBASIS ANDROID
Authors: Pertama Pande Putu Gede Putra
Published: April 2022

Perkembangan teknologi mobile sangat pesat dilihat dari fitur yang disediakan dan kegunaannya, pengembangan teknologi mobile banyak di terapkan diberbagai hal salah satu contohnya yaitu untuk mengontorl alat-alat elektronik. teknologi inilah yang menjadi konsep dasar pada penelitian ini, dimana keberadaan dosen ketika dikampus atau dalam jam kerja kurang diketahui oleh mahasiswa, ini dikarenakan informasi yang dilakukan masih manual atau dengan cara lisan atau dengan datang ke ruangan dosen tersebut untuk mendapatkan informasi. Intensitas pekerjakan dosen yang sangat tinggi terkadang membuat dosen harus lebih extra dalam bekerja, jadi mahasiswa harus mendapatkan informasi yang cepat dan tepat ketika dosen tersebut dicari Pada penelitian ini memiliki hasil yaitu membuat implementasi informasi dosen berbasis android, dimana pada aplikasi ini dosen nanti bisa mengupdate informasi sendiri pada aplikasi mobile dan mahasiswa bisa melihat informasi dosen tersebut pada handphone masing-masing secara realtime.
Descripción de un nuevo género y siete nuevas especies de cucarachas (Blattodea: Blattellidae) para el Neotrópico mexicano
Authors: Estrada-Álvarez Julio Cesar
Published: April 2022

Eldaina gen. n. y siete nuevas especies de Blattellidae son descritas para la blatodeofauna mexicana. La especie Xestoblatta caussaneli Grandcolas, 1992 es transferida a este nuevo género e incluida en la clave para la separación de las especies que lo integran.
Evaluando la novedad de un nuevo registro de Oxysternon ebeninum (Nevison, 1890) (Coleoptera: Scarabaeidae: Scarabaeinae) en Venezuela
Authors: Ferrer-Paris José R. , Lozano Cecilia , Cardozo-Urdaneta Arlene
Published: April 2022

Se registran nuevas localidades para la especie Oxysternon ebeninum (Nevison, 1890) al norte del estado Amazonas, Venezuela, donde las condiciones ambientales de estos lugares son significativamente diferentes a las reportadas previamente en la literatura.
¿Interesa el amor a la filosofía? A propósito de una reflexión posible
Authors: López Arboleda Gloria María , Dasuky Quiceno Samir Ahmed
Published: April 2022

El amor, como objeto de investigación y curiosidad, ha interesado a la filosofía desde la antigüedad, de ahí que, esclarecer la vigencia de tal interés, fue el propósito del presente artículo. Se realizó una revisión documental sobre las tendencias actuales que interesan a la filosofía con respecto al amor como pasión y experiencia emocional. Dicha revisión fue de tipo informativo-reflexivo y se enmarcó en el enfoque cualitativo. Los datos arrojados se convirtieron en el material para la reflexión del objeto y de la hipótesis: el amor sigue siendo de interés para la filosofía y este se comprende desde múltiples campos de la realidad humana. Se concluye que el amor continúa siendo punto de interés para la filosofía, en tanto se reconoce como pasión y experiencia emocional, válida e importante para la comprensión de la vida humana en sus aspectos epistemológicos y prácticos, es decir, en los ámbitos éticos y políticos. La pregunta por el amor en la humanidad continuará abierta hasta lograr múltiples repuestas, desde distintas ventanas: algunas abiertas, otras cerradas.
Factores determinantes para conocer el nivel de adopción de la población joven sobre sistemas de navegación para carros
Authors: Rodríguez-Correa Paula Andrea , Bermeo-Giraldo María Camila , Vélez Bernal Olga , Arias Vargas Francisco Javier
Published: April 2022

Los sistemas de navegación para carros han sido uno de los accesorios más utilizados en todo el mundo, dado los beneficios percibidos en términos de información, en tiempo real, sobre el tráfico, la ubicación de los conductores en lugares desconocidos e información geográfica sobre direcciones o destinos deseados; por lo que, es imperativo conocer la percepción de sus usuarios para la mejora constante de este accesorio. En ese sentido, el objetivo de este estudio fue identificar los factores determinantes de la adopción de sistemas de navegación para carros, específicamente en la población joven, aplicándose un cuestionario en línea a 121 jóvenes. La metodología empleada siguió un análisis factorial exploratorio y confirmatorio con enfoque cuantitativo. Los resultados indicaron que los factores determinantes en la adopción de sistemas de navegación, por parte de la población joven, en orden de importancia fueron: la utilidad percibida, la actitud, la facilidad percibida y el sistema y calidad de pantalla, como factores cognitivos y psicológicos que se relacionan positivamente con la intención de uso de los jóvenes encuestados, lo cual hace aportes relevantes, tanto en el ámbito académico como en el industrial, para la toma de decisiones en cuanto a mejoras de esta tecnología.
The prospect of using a workstation by an endocrinologist for telemedicine counseling
Authors: Pervyshin Nikolai A.
Published: April 2022

The article provides a review of legislative acts, scientific articles, conference papers devoted to the problems of clinical use of telemedicine counseling. The official regulations of interactive telemedicine, the portals used for this service, formats, modes, payment methods were in the focus of our research. We analysed several examples of the telehealth services provided in the Russian Federation and abroad. Thus, we managed to identify the factors that, according to expert opinion, limit the widespread implementation of telemedicine counseling in clinical practice. We also gave general evaluation of the prospects of using an endocrinologist's workstation for consulting outpatients with diabetes mellitus for remote "doctor patient" interaction and for clinical case teleconferences, as well as for integration of the formalized protocol, lying in the software basis, into fully functional medical and administrative information systems existing in the medical institution. A short example of the 3-year regular use of a workstation for admission of outpatients with diabetes mellitus in a city polyclinic illustrates the advantages of this method.