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Several safety-related improvements are applied every year to try to minimize the total number of civil aviation accidents. Fortunately, these improvements work well, reducing the number of accident occurrences. However, while the number of accidents due to mechanical failures has decreased, the number of accidents due to human errors seems to grow. On that basis, this work presents a contribution regarding the brain’s
Válber Roza; Octavian Postolache. β-Band Analysis from Simulated Flight Experiments. Aerospace 2021, 8, 120 .
AMA StyleVálber Roza, Octavian Postolache. β-Band Analysis from Simulated Flight Experiments. Aerospace. 2021; 8 (5):120.
Chicago/Turabian StyleVálber Roza; Octavian Postolache. 2021. "β-Band Analysis from Simulated Flight Experiments." Aerospace 8, no. 5: 120.
The relay node deployment for wireless sensor network has many application constraints, such as the energy efficiency, stable connectivity, survivability and low cost. This paper explores this problem for static wireless sensor network. An efficient multi-constraint deployment strategy is proposed to save the deployment cost by deploying minimal relay nodes in candidate locations, to improve network lifetime by minimizing the maximum energy consumption of the relay nodes, and to improve network reliability by meeting a preset reliability threshold of the wireless communication. In order, the proposed strategy covers (a) extraction of three-dimensional discrete deployment space by shortest path search, (b) reliability evaluation of wireless channel in three-dimensional environment with electromagnetic obstacle, (c) energy consumption model for wireless communication with retransmission mechanism, (d) integer linear program-based formulation optimizing the amount, locations and lifetime of deployed relay nodes under the constraints of network survivability and reliability. The comparative simulation results indicate that the proposed strategy can reduce the solution time to minutes while the solution time of the existing methods is in hours when deploying dozens of sensors, and the result of the proposed deployment strategy can use the same number or slightly more relay nodes to achieve the best network lifetime, but the proposed strategy is not recommended to optimize the network reliability. In short, the proposed deployment strategy can ease the efficiency bottleneck while maintaining or even improving the algorithm performance.
Haiqing Yao; Xiuwen Fu; Yongsheng Yang; Ioan Ungurean; Octavian Postolache. An Efficient Multi-constraint Relay Deployment Strategy for Wireless Sensor Network. Wireless Personal Communications 2021, 1 -22.
AMA StyleHaiqing Yao, Xiuwen Fu, Yongsheng Yang, Ioan Ungurean, Octavian Postolache. An Efficient Multi-constraint Relay Deployment Strategy for Wireless Sensor Network. Wireless Personal Communications. 2021; ():1-22.
Chicago/Turabian StyleHaiqing Yao; Xiuwen Fu; Yongsheng Yang; Ioan Ungurean; Octavian Postolache. 2021. "An Efficient Multi-constraint Relay Deployment Strategy for Wireless Sensor Network." Wireless Personal Communications , no. : 1-22.
Gate and yard congestion is a typical type of container port congestion, which prevents trucks from traveling freely and has become the bottleneck that constrains the port productivity. In addition, urban traffic increases the uncertainty of the truck arrival time and additional congestion costs. More and more container terminals are adopting a truck appointment system (TAS), which tries to manage the truck arrivals evenly all day long. Extending the existing research, this work considers morning and evening peak congestion and proposes a novel approach for multi-constraint TAS intended to serve both truck companies and container terminals. A Mixed Integer Nonlinear Programming (MINLP) based multi-constraint TAS model is formulated, which explicitly considers the appointment change cost, queuing cost, and morning and evening peak congestion cost. The aim of the proposed multi-constraint TAS model is to minimize the overall operation cost. The Lingo commercial software is used to solve the exact solutions for small and medium scale problems, and a hybrid genetic algorithm and simulated annealing (HGA-SA) is proposed to obtain the solutions for large-scale problems. Experimental results indicate that the proposed TAS can not only better serve truck companies and container terminals but also more effectively reduce their overall operation cost compared with the traditional TASs.
Bowei Xu; Xiaoyan Liu; Yongsheng Yang; Junjun Li; Octavian Postolache. Optimization for a Multi-Constraint Truck Appointment System Considering Morning and Evening Peak Congestion. Sustainability 2021, 13, 1181 .
AMA StyleBowei Xu, Xiaoyan Liu, Yongsheng Yang, Junjun Li, Octavian Postolache. Optimization for a Multi-Constraint Truck Appointment System Considering Morning and Evening Peak Congestion. Sustainability. 2021; 13 (3):1181.
Chicago/Turabian StyleBowei Xu; Xiaoyan Liu; Yongsheng Yang; Junjun Li; Octavian Postolache. 2021. "Optimization for a Multi-Constraint Truck Appointment System Considering Morning and Evening Peak Congestion." Sustainability 13, no. 3: 1181.
Nowadays, sensors and condition monitoring systems are expanding rapidly and becoming cheaper. This contributes to increasing developments in condition monitoring in railway transport infrastructure. A condition monitoring system that uses an online device and sensors to acquire electrical parameters from railway infrastructure has been developed and applied for fault detection and diagnosis of impedance bonds. The impedance bond condition is monitored in real-time using current and temperature sensors, providing early warning if predefined thresholds are exceeded in terms of currents, imbalance currents, and temperatures. The proposed method and the developed monitoring device have been validated in the railway laboratory to confirm its capability to detect defects. The acquired parameters from impedance bonds are used to extract thermal stresses and technical conditions of this equipment. Experimental results and appropriate data analysis are included in the article.
Mihai Andrusca; Maricel Adam; Alin Dragomir; Eduard Lunca; Ramakrishna Seeram; Octavian Postolache. Condition Monitoring System and Faults Detection for Impedance Bonds from Railway Infrastructure. Applied Sciences 2020, 10, 6167 .
AMA StyleMihai Andrusca, Maricel Adam, Alin Dragomir, Eduard Lunca, Ramakrishna Seeram, Octavian Postolache. Condition Monitoring System and Faults Detection for Impedance Bonds from Railway Infrastructure. Applied Sciences. 2020; 10 (18):6167.
Chicago/Turabian StyleMihai Andrusca; Maricel Adam; Alin Dragomir; Eduard Lunca; Ramakrishna Seeram; Octavian Postolache. 2020. "Condition Monitoring System and Faults Detection for Impedance Bonds from Railway Infrastructure." Applied Sciences 10, no. 18: 6167.
Electrooculography is a technique for measuring the corneo-retinal standing potential of the human eye. The resulting signal is called the electrooculogram (EOG). The primary applications are in ophthalmological diagnosis and in recording eye movements to develop simple human–machine interfaces (HCI). The electronic circuits for EOG signal conditioning are well known in the field of electronic instrumentation; however, the specific characteristics of the EOG signal make a careful electronic design necessary. This work is devoted to presenting the most important issues related to the design of an EOG analog front-end (AFE). In this respect, it is essential to analyze the possible sources of noise, interference, and motion artifacts and how to minimize their effects. Considering these issues, the complete design of an AFE for EOG systems is reported in this work.
Alberto López; Francisco Ferrero; José Ramón Villar; Octavian Postolache. High-Performance Analog Front-End (AFE) for EOG Systems. Electronics 2020, 9, 970 .
AMA StyleAlberto López, Francisco Ferrero, José Ramón Villar, Octavian Postolache. High-Performance Analog Front-End (AFE) for EOG Systems. Electronics. 2020; 9 (6):970.
Chicago/Turabian StyleAlberto López; Francisco Ferrero; José Ramón Villar; Octavian Postolache. 2020. "High-Performance Analog Front-End (AFE) for EOG Systems." Electronics 9, no. 6: 970.
Healthcare optimization has become increasingly important in the current era, where numerous challenges are posed by population ageing phenomena and the demand for higher quality of the healthcare services. The implementation of Internet of Things (IoT) in the healthcare ecosystem has been one of the best solutions to address these challenges and therefore to prevent and diagnose possible health impairments in people. The remote monitoring of environmental parameters and how they can cause or mediate any disease, and the monitoring of human daily activities and physiological parameters are among the vast applications of IoT in healthcare, which has brought extensive attention of academia and industry. Assisted and smart tailored environments are possible with the implementation of such technologies that bring personal healthcare to any individual, while living in their preferred environments. In this paper we address several requirements for the development of such environments, namely the deployment of physiological signs monitoring systems, daily activity recognition techniques, as well as indoor air quality monitoring solutions. The machine learning methods that are most used in the literature for activity recognition and body motion analysis are also referred. Furthermore, the importance of physical and cognitive training of the elderly population through the implementation of exergames and immersive environments is also addressed.
Mariana Jacob Rodrigues; Octavian Postolache; Francisco Cercas. Physiological and Behavior Monitoring Systems for Smart Healthcare Environments: A Review. Sensors 2020, 20, 2186 .
AMA StyleMariana Jacob Rodrigues, Octavian Postolache, Francisco Cercas. Physiological and Behavior Monitoring Systems for Smart Healthcare Environments: A Review. Sensors. 2020; 20 (8):2186.
Chicago/Turabian StyleMariana Jacob Rodrigues; Octavian Postolache; Francisco Cercas. 2020. "Physiological and Behavior Monitoring Systems for Smart Healthcare Environments: A Review." Sensors 20, no. 8: 2186.
Francisco Cary; Octavian Postolache; Pedro Silva Girão. Kinect Based System and Serious Game Motivating Approach for Physiotherapy Assessment and Remote Session Monitoring. International Journal on Smart Sensing and Intelligent Systems 2020, 7, 1 -6.
AMA StyleFrancisco Cary, Octavian Postolache, Pedro Silva Girão. Kinect Based System and Serious Game Motivating Approach for Physiotherapy Assessment and Remote Session Monitoring. International Journal on Smart Sensing and Intelligent Systems. 2020; 7 (5):1-6.
Chicago/Turabian StyleFrancisco Cary; Octavian Postolache; Pedro Silva Girão. 2020. "Kinect Based System and Serious Game Motivating Approach for Physiotherapy Assessment and Remote Session Monitoring." International Journal on Smart Sensing and Intelligent Systems 7, no. 5: 1-6.
Nonlinearities in a container port handling chain include mainly nonnegative arrive rate of container cargoes, limited container handling completion rate, and nonnegative unsatisfied freight requirement constraints. The nonlinearity influences the operation resources availability and consequently the planned container port handling strategies. Developments presented in this work are devoted to a novel design of sliding mode control with low-pass filter (SMC-LPF) to nonlinear handling chain system (HCS) in container ports. The SMC-LPF can effectively reduce unsatisfied freight requirement of the HCS and make chattering decrease significantly. To illustrate the effectiveness and accuracy of the proposed SMC-LPF, an application to a real container port in China is outlined. The performances of the SMC-LPF for the nonlinear HCS in container ports outperform those of the traditional method, particle swarm optimization algorithm, and slide mode control under simulations with a unit step signal and a sinusoidal signal with offset as the freight requirements. The contributions herein demonstrate the proposed control strategy in weakening chattering, reducing the unsatisfied freight requirements to 0 as close as possible in the HCS, maximizing the operation resilience and robustness of port and shipping supply chain against parametric perturbation, external disturbances, and fluctuant handling abilities.
Bowei Xu; Junjun Li; Yongsheng Yang; Huafeng Wu; Octavian Postolache. A Novel Sliding Mode Control with Low-Pass Filter for Nonlinear Handling Chain System in Container Ports. Complexity 2020, 2020, 1 -15.
AMA StyleBowei Xu, Junjun Li, Yongsheng Yang, Huafeng Wu, Octavian Postolache. A Novel Sliding Mode Control with Low-Pass Filter for Nonlinear Handling Chain System in Container Ports. Complexity. 2020; 2020 ():1-15.
Chicago/Turabian StyleBowei Xu; Junjun Li; Yongsheng Yang; Huafeng Wu; Octavian Postolache. 2020. "A Novel Sliding Mode Control with Low-Pass Filter for Nonlinear Handling Chain System in Container Ports." Complexity 2020, no. : 1-15.
Background: The present study’s main aim was to determine the predictors of movie rewatchability and recommendations. Methods: Using a sample of 318 participants, we first tested the structure of a gratification scale from watching a movie. Then, we examined the role of age, need for cognition, need for affect, extraversion, and emotional gratifications, in predicting individuals’ interest in rewatching the movie and in making recommendations. Results: As in the original proposal of the emotional gratification scale, the following dimensions were identified: fun, thrill, empathic sadness, release of emotions, social sharing, contemplative experiences, and character engagement, with acceptable model fit and reliability, convergent and divergent validity. Social sharing, contemplate experiences, need for affect and age were significant predictors of movie recommendation; whereas social sharing, thrill, extraversion, and age contributed most to explaining rewatching interest. Conclusion: This study highlights the importance of considering distinct gratifications and individual differences in predicting rewatching and movie recommendation.
Patrícia Arriaga; Joana Alexandre; Octavian Postolache; Manuel J. Fonseca; Thibault Langlois; Teresa Chambel. Why Do We Watch? The Role of Emotion Gratifications and Individual Differences in Predicting Rewatchability and Movie Recommendation. Behavioral Sciences 2019, 10, 8 .
AMA StylePatrícia Arriaga, Joana Alexandre, Octavian Postolache, Manuel J. Fonseca, Thibault Langlois, Teresa Chambel. Why Do We Watch? The Role of Emotion Gratifications and Individual Differences in Predicting Rewatchability and Movie Recommendation. Behavioral Sciences. 2019; 10 (1):8.
Chicago/Turabian StylePatrícia Arriaga; Joana Alexandre; Octavian Postolache; Manuel J. Fonseca; Thibault Langlois; Teresa Chambel. 2019. "Why Do We Watch? The Role of Emotion Gratifications and Individual Differences in Predicting Rewatchability and Movie Recommendation." Behavioral Sciences 10, no. 1: 8.
The present work tries to fill part of the gap regarding the pilots’ emotions and their bio-reactions during some flight procedures such as, takeoff, climbing, cruising, descent, initial approach, final approach and landing. A sensing architecture and a set of experiments were developed, associating it to several simulated flights ( N f l i g h t s = 13 ) using the Microsoft Flight Simulator Steam Edition (FSX-SE). The approach was carried out with eight beginner users on the flight simulator ( N p i l o t s = 8 ). It is shown that it is possible to recognize emotions from different pilots in flight, combining their present and previous emotions. The cardiac system based on Heart Rate (HR), Galvanic Skin Response (GSR) and Electroencephalography (EEG), were used to extract emotions, as well as the intensities of emotions detected from the pilot face. We also considered five main emotions: happy, sad, angry, surprise and scared. The emotion recognition is based on Artificial Neural Networks and Deep Learning techniques. The Root Mean Squared Error (RMSE) and Mean Absolute Error (MAE) were the main methods used to measure the quality of the regression output models. The tests of the produced output models showed that the lowest recognition errors were reached when all data were considered or when the GSR datasets were omitted from the model training. It also showed that the emotion surprised was the easiest to recognize, having a mean RMSE of 0.13 and mean MAE of 0.01; while the emotion sad was the hardest to recognize, having a mean RMSE of 0.82 and mean MAE of 0.08. When we considered only the higher emotion intensities by time, the most matches accuracies were between 55% and 100%.
Válber César Cavalcanti Roza; Octavian Adrian Postolache. Multimodal Approach for Emotion Recognition Based on Simulated Flight Experiments. Sensors 2019, 19, 5516 .
AMA StyleVálber César Cavalcanti Roza, Octavian Adrian Postolache. Multimodal Approach for Emotion Recognition Based on Simulated Flight Experiments. Sensors. 2019; 19 (24):5516.
Chicago/Turabian StyleVálber César Cavalcanti Roza; Octavian Adrian Postolache. 2019. "Multimodal Approach for Emotion Recognition Based on Simulated Flight Experiments." Sensors 19, no. 24: 5516.
This study is a contribution for the improvement of healthcare in children and in society generally. This study aims to predict children’s height when they become adults, also known as “target height”, to allow for a better growth assessment and more personalized healthcare. The existing literature describes some existing prediction methods, based on longitudinal population studies and statistical techniques, which with few information resources, are able to produce acceptable results. The challenge of this study is in using a new approach based on machine learning to forecast the target height for children and (eventually) improve the existing height prediction accuracy. The goals of the study were achieved. The extreme gradient boosting regression (XGB) and light gradient boosting machine regression (LightGBM) algorithms achieved considerably better results on the height prediction. The developed model can be usefully applied by pediatricians and other clinical professionals in growth assessment.
João Rala Cordeiro; Octavian Postolache; João C. Ferreira. Child’s Target Height Prediction Evolution. Applied Sciences 2019, 9, 5447 .
AMA StyleJoão Rala Cordeiro, Octavian Postolache, João C. Ferreira. Child’s Target Height Prediction Evolution. Applied Sciences. 2019; 9 (24):5447.
Chicago/Turabian StyleJoão Rala Cordeiro; Octavian Postolache; João C. Ferreira. 2019. "Child’s Target Height Prediction Evolution." Applied Sciences 9, no. 24: 5447.
Several anti-smoking campaigns have been used for decades to reduce smoking consumption. However, so far, there is no consensus regarding the effectiveness of inducing distinct emotions in reducing smoke consumption. This study tested the effects of two types of anti-smoking ads, inducing fear or humor, on emotions, perceived effectiveness, support for tobacco control policies, urges to smoke, and susceptibility to smoke. Participants (N = 108; 54 smokers) of both genders were randomly assigned to one of the two following emotion ads condition: fear (N = 52) or humor (N = 56). During exposure, the continuous flow of their emotions by self-report and physiologically was collected. Measures of ads impact on emotions, perceived effectiveness, urges and susceptibility to smoking, and support for tobacco policies were applied after exposure. The results have shown that fear ads were perceived as more effective and reduced the urges to smoke in smokers. Non-smokers were more supportive of tobacco control policies. In conclusion, this study showed that fear campaigns can reduce the urge to smoke among smokers and are perceived to be more effective. This perceived effectiveness can be partially explained by feelings of fear, regardless the other emotions it also triggers, and of the smoking status.
Eduardo Silva Reis; Patrícia Paula Lourenço E Arriaga; Octavian Adrian Postolache. Fear or Humour in anti-smoking campaigns? Impact on perceived effectiveness and support for tobacco control Policies. Ciência & Saúde Coletiva 2019, 24, 4727 -4738.
AMA StyleEduardo Silva Reis, Patrícia Paula Lourenço E Arriaga, Octavian Adrian Postolache. Fear or Humour in anti-smoking campaigns? Impact on perceived effectiveness and support for tobacco control Policies. Ciência & Saúde Coletiva. 2019; 24 (12):4727-4738.
Chicago/Turabian StyleEduardo Silva Reis; Patrícia Paula Lourenço E Arriaga; Octavian Adrian Postolache. 2019. "Fear or Humour in anti-smoking campaigns? Impact on perceived effectiveness and support for tobacco control Policies." Ciência & Saúde Coletiva 24, no. 12: 4727-4738.
J M Pereira; Vítor Viegas; Octavian Postolache; P S Girão. A dual measurement and stimulating system to monitor and promote NNS. Journal of Physics: Conference Series 2019, 1379, 1 .
AMA StyleJ M Pereira, Vítor Viegas, Octavian Postolache, P S Girão. A dual measurement and stimulating system to monitor and promote NNS. Journal of Physics: Conference Series. 2019; 1379 ():1.
Chicago/Turabian StyleJ M Pereira; Vítor Viegas; Octavian Postolache; P S Girão. 2019. "A dual measurement and stimulating system to monitor and promote NNS." Journal of Physics: Conference Series 1379, no. : 1.
A work on modelling Internet of Things architecture for cargo ports is described. The main things and their roles in a cargo port, different sensors and instrumentation that was used or might be used for sensing and control in a cargo port, and some examples of IoT technologies that might contribute for improving the safety of processes and the security of the port are presented. By increasing the accessibility and accuracy of relevant information, IoT technologies may increase efficiency and quality of services in cargo ports, the operational safety and security of the ports.
O Postolache; Y Yang; M Zhong; H Yao; F Yu; X Fu; C Mi. Modelling IoT technology for a cargo port. Journal of Physics: Conference Series 2019, 1379, 012072 .
AMA StyleO Postolache, Y Yang, M Zhong, H Yao, F Yu, X Fu, C Mi. Modelling IoT technology for a cargo port. Journal of Physics: Conference Series. 2019; 1379 (1):012072.
Chicago/Turabian StyleO Postolache; Y Yang; M Zhong; H Yao; F Yu; X Fu; C Mi. 2019. "Modelling IoT technology for a cargo port." Journal of Physics: Conference Series 1379, no. 1: 012072.
This paper presents a simple wearable, non-intrusive affordable mobile framework that allows remote patient monitoring during gait rehabilitation by doctors and physiotherapists. The system includes a set of 2 Shimmer3 9DoF Inertial Measurement Units (IMUs), an Android smartphone and a developed app for collecting, primary processing of data and for persistence of data in a remote PostgreSQL database, which is available in a remote server and where further data processing is performed. This framework provides gait features classifier by invoking an implemented REST API available in the remote server. Low computational load algorithms based on Euler angles and filtered signals were developed and used for the classification and identification of several gait disturbances. These algorithms include the alignment of IMUs sensors data by means of a common temporal reference as well as heel strike and stride detection algorithms. After segmentation of the remotely collected signals for gait strides identification relevant features were extracted to feed, train and test a classifier for prediction of gait abnormalities using supervised machine learning type and Extremely Randomized Trees method.
P Leite; Octavian Postolache; José Pereira. Gait rehabilitation monitor. Journal of Physics: Conference Series 2019, 1379, 012071 .
AMA StyleP Leite, Octavian Postolache, José Pereira. Gait rehabilitation monitor. Journal of Physics: Conference Series. 2019; 1379 (1):012071.
Chicago/Turabian StyleP Leite; Octavian Postolache; José Pereira. 2019. "Gait rehabilitation monitor." Journal of Physics: Conference Series 1379, no. 1: 012071.
With the development of automated container terminals (ACTs), reducing the loading and unloading time of operation and improving the working efficiency and service level have become the key point. Taking into account the actual operation mode of loading and unloading in ACTs, a mixed integer programming model is adopted in this study to minimize the loading and unloading time of ships, which can optimize the integrated scheduling of the gantry cranes (QCs), automated guided vehicles (AGVs), and automated rail-mounted gantries (ARMGs) in automated terminals. Various basic metaheuristic and improved hybrid algorithms were developed to optimize the model, proving the effectiveness of the model to obtain an optimized scheduling scheme by numerical experiments and comparing the different performances of algorithms. The results show that the hybrid GA-PSO algorithm with adaptive autotuning approaches by fuzzy control is superior to other algorithms in terms of solution time and quality, which can effectively solve the problem of integrated scheduling of automated container terminals to improve efficiency.
Meisu Zhong; Yongsheng Yang; Yamin Zhou; Octavian Postolache. Adaptive Autotuning Mathematical Approaches for Integrated Optimization of Automated Container Terminal. Mathematical Problems in Engineering 2019, 2019, 1 -14.
AMA StyleMeisu Zhong, Yongsheng Yang, Yamin Zhou, Octavian Postolache. Adaptive Autotuning Mathematical Approaches for Integrated Optimization of Automated Container Terminal. Mathematical Problems in Engineering. 2019; 2019 ():1-14.
Chicago/Turabian StyleMeisu Zhong; Yongsheng Yang; Yamin Zhou; Octavian Postolache. 2019. "Adaptive Autotuning Mathematical Approaches for Integrated Optimization of Automated Container Terminal." Mathematical Problems in Engineering 2019, no. : 1-14.
Transducer electronic data sheets (TEDS) are a key element of smart transducers because they support core features such as plug and play, self-calibration, and self-diagnostics. The ISO/IEC/IEEE 21451-4 standard defines templates to describe the most common types of transducers and suggests the use of one-wire memories to store the corresponding data. In this paper we explore new ways to store and access TEDS tables, including near field communication (NFC) tags and QR codes. We also present a mobile TEDS parser, compatible with Android, that is capable of reading TEDS data from all supported mediums (one-wire memories, NFC tags, and QR codes) and decoding them as human-readable text. The idea is to make TEDS available in the easiest way possible. We also underline the need to extend the 21451-4 standard by adding support for frequency–time sensors. A new TEDS template is proposed, and filling examples are presented. The main novelties of the paper are (i) the proposal of new ways to store 21451-4 TEDS tables using NFC tags and QR codes; (ii) the release of new tools to access TEDS tables including a mobile parser; and (iii) the definition of a new TEDS template for frequency–time sensors.
Vítor Viegas; Octavian Postolache; J.M. Dias Pereira. Transducer Electronic Data Sheets: Anywhere, Anytime, Anyway. Electronics 2019, 8, 1345 .
AMA StyleVítor Viegas, Octavian Postolache, J.M. Dias Pereira. Transducer Electronic Data Sheets: Anywhere, Anytime, Anyway. Electronics. 2019; 8 (11):1345.
Chicago/Turabian StyleVítor Viegas; Octavian Postolache; J.M. Dias Pereira. 2019. "Transducer Electronic Data Sheets: Anywhere, Anytime, Anyway." Electronics 8, no. 11: 1345.
Recent findings have shown that exergames can facilitate physiotherapy. Environmental conditions, such as the inclusion of positive distractions, also seem to play a role in health recovery, but prior studies have never analysed their role in virtual environments. In this study we developed an exergame for the exercise of upper limbs by designing virtual environments with nature elements and testing the impact of including additional positive distractions. Participants (n = 124, 81 females) were randomly assigned to one of two virtual environments: positive distractions vs. no distractions. To test whether these two environments matched the users’ characteristics, sensation-seeking was examined as a moderator. Measures of affect, sense of presence, intrinsic motivation and vitality were applied after the sessions, and game performance was assessed. Results showed that both environments were positively evaluated for all the dependent variables, regardless of the positive distractions and the sensation-seeking traits. However, game performance was affected by the environment and the participants’ sensation-seeking traits, suggesting that the additional distractions can reduce performance, and that individual differences also seem to impact performance.
Eduardo Reis; Patrícia Arriaga; Maria Luísa Lima; Luís Teixeira; Octavian Postolache; Gabriela Postolache. Tailoring virtual environments of an exergame for physiotherapy: the role of positive distractions and sensation-seeking (Adaptando entornos virtuales para un exergame para la fisioterapia: el papel de las distracciones positivas y la búsqueda de sensaciones). PsyEcology 2019, 11, 49 -63.
AMA StyleEduardo Reis, Patrícia Arriaga, Maria Luísa Lima, Luís Teixeira, Octavian Postolache, Gabriela Postolache. Tailoring virtual environments of an exergame for physiotherapy: the role of positive distractions and sensation-seeking (Adaptando entornos virtuales para un exergame para la fisioterapia: el papel de las distracciones positivas y la búsqueda de sensaciones). PsyEcology. 2019; 11 (1):49-63.
Chicago/Turabian StyleEduardo Reis; Patrícia Arriaga; Maria Luísa Lima; Luís Teixeira; Octavian Postolache; Gabriela Postolache. 2019. "Tailoring virtual environments of an exergame for physiotherapy: the role of positive distractions and sensation-seeking (Adaptando entornos virtuales para un exergame para la fisioterapia: el papel de las distracciones positivas y la búsqueda de sensaciones)." PsyEcology 11, no. 1: 49-63.
Ataxias are a group of neurodegenerative disorders characterized by cerebellar dysfunction that cause irregularities in the rate, rhythm, amplitude, and force of voluntary movements. The electrooculogram (EOG) may provide clues about ataxic disorders because most of these patients have difficulty with visual tracking and fixing their gaze. Using electrodes, EOG records the biopotentials generated by eye movements. In this paper, three surface electrodes are placed around the eye socket, and the biopotentials generated by eye movements are acquired using a commercial bioamplifier device. Next, the signals are sent to the computer to be digitally processed to extract the rate of saccades as well as the delay and deviation of the gaze in response to a stimulus. These features are analysed in a novel software application designed to help physicians in evaluating ataxia. After applying several tests to both healthy and ataxia-affected patients, differences in EOG results were found. The evaluation of the reliability of the designed software application is made according to three metrics: sensitivity, specificity, and accuracy. The results indicate the proposed system's viability as an affordable method for evaluation of ataxic disorders.
Alberto López; Francisco Ferrero; Octavian Postolache. An Affordable Method for Evaluation of Ataxic Disorders Based on Electrooculography. Sensors 2019, 19, 3756 .
AMA StyleAlberto López, Francisco Ferrero, Octavian Postolache. An Affordable Method for Evaluation of Ataxic Disorders Based on Electrooculography. Sensors. 2019; 19 (17):3756.
Chicago/Turabian StyleAlberto López; Francisco Ferrero; Octavian Postolache. 2019. "An Affordable Method for Evaluation of Ataxic Disorders Based on Electrooculography." Sensors 19, no. 17: 3756.
Container ports are critical components of global port and shipping supply chain (PSSC) systems. Their handling operation resiliencies can affect their performance, along with those of the overall port and shipping supply chain. According to the characteristics of the container handling operations, this study establishes a modeling paradigm for quantifying the resilience of handling chain system (HCS) in container ports. Considering the nonnegative arrive rate and the container handling completion rate, with the upper limit in real container port environments, nonlinear links have been added into the model of the HCS. The resilience of the HCS was analyzed according to the different pole distributions of unsatisfied freight requirement transfer function. Simulation results show that the upper limit of the container handling completion rate has a significant impact on the resilience of the HCS. The contributions herein demonstrate a starting point in the development of a quantitative resilience decision making framework and mitigating the negative impacts for port authorities and other players in the PSSC.
Bowei Xu; Junjun Li; Yongsheng Yang; Huafeng Wu; Octavian Postolache. Model and Resilience Analysis for Handling Chain Systems in Container Ports. Complexity 2019, 2019, 1 -12.
AMA StyleBowei Xu, Junjun Li, Yongsheng Yang, Huafeng Wu, Octavian Postolache. Model and Resilience Analysis for Handling Chain Systems in Container Ports. Complexity. 2019; 2019 ():1-12.
Chicago/Turabian StyleBowei Xu; Junjun Li; Yongsheng Yang; Huafeng Wu; Octavian Postolache. 2019. "Model and Resilience Analysis for Handling Chain Systems in Container Ports." Complexity 2019, no. : 1-12.