β-band analysis from simulated flight experiments

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 β-band activities for different levels of volunteers’ expertise on flight simulator, i.e., experienced, mid-level and beginner, in which they acted as pilots in command during several simulated flights. Spectrogram analysis and statistical measurements of each volunteer’s brain’s β-band were carried out. These were based on seven flight tasks: takeoff, climb, cruise flight, descent, approach, final approach and landing. The results of the proposed experiment showed that the takeoff, approach and landing corresponded to the highest brain activities, i.e., close to 37.06–67.33% more than the brain activity of the other flight tasks: when some accidents were about to occur, the intensities of the brain activity were similar to those of the final approach task. When the volunteers’ expertise and confidence on flight simulation were considered, it was shown that the highest brain magnitudes and oscillations observed of more experienced and confident volunteers were on average close to 68.44% less, compared to less experienced and less confident volunteers. Moreover, more experienced and confident volunteers in general presented different patterns of brain activities compared to volunteers with less expertise or less familiarity with fight simulations and/or electronic games.info:eu-repo/semantics/publishedVersio

Multimodal approach for emotion recognition based on simulated flight experiments

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%.info:eu-repo/semantics/publishedVersio

Strategi Komunikasi Yayasan Utama dalam Pencegahan HIV dan AIDS pada Masyarakat Pekanbaru

HIV ( Human Imunodeficiensi Virus) [is] virus cause of AIDS. There are in its body dilution [of] him like blood, sperma, or vagina dilution. Pengidap HIV will see healthy until HIV become AIDS during 5-10 year later;then. Although see healthyly [is] they earn catching with HIV [at] others. AIDS ( Aquired Immune Deficiency Syndrome) or downhill sindroma [it] impenetrability of caused [by] body [is] HIV so that body cannot fight disease. To depress case number of HIV and of AIDS this [is] needed [by] a[n way of prevention of its infection. One of [the] institute which care to prevention of HIV and of AIDS this [is] Especial Institution. Especial Institution [is] one of [the] LSM which care to health of society especially in case of HIV. this Especial Institution have stood since year 1993 and have vision that is the increasing of prosperity of life and health of society specially marginal society and rentan [in] province of Riau year 2025.Research use descriptive method qualitative pursuant to source of primary data and of sekunder and use technique data collecting of observation, documentation and interview, with determination of informan [pass/through] sampling of purposif counted ten one who compose five people of Especial institution that is Institution chief of Utama,Sekretaris and 3 people of staff Especial Institution [of] Pekanbaru and five people of outside party that is housewife, woman of tunasusila, cab driver, student and student. Technique analyse data use model analyse data of interaktif Miles and of Huberman by collecting obtained datas [is] later;then processed to be reduced, to be presented [is] so that yielded [by] a[n conclusion of public.Result of research indicate that [done/conducted] [by] communications strategy [is] Especial Institution [of] Pekanbaru in prevention of HIV and of AIDS [at] society of Pekanbaru for example Recognizing Especial Institution communications target in preventive program [of] HIV and of AIDS [at] society of Pekanbaru [is] woman of tunasusila, student, student, housewifes and worker, USAge of Especial Institution media in preventive program [of] HIV and of AIDS [at] society of Pekanbaru, that is external media [of] room like banner and brochure and print in the form of book and also look in the face. Role of Especial Institution communicator in preventive program [of] HIV and of AIDS [at] society of Pekanbaru, becoming communicator [is] Especial Institution chief, health area head and of staff expert / technical. Communicator play a part in election of communications target, election of communications media and study of[is target of message of communications.

A multi-sensing physical therapy assessment for children with cerebral palsy

This work presents the development of a multi-sensing interface called Palsy Thera Sense, to provide information data obtained during physical therapy of the children with cerebral palsy. It allows the monitoring the children's motor skills, and provide metrics that can be later used for proper and effective training. This interface is based on distributed force measurement system characterized by two different load cells. The signals from signals from the load cells distributed on the level of a force platform and at the level of child's body support ropes that are tied on the cerebral palsy spider cage are acquired and wireless transmitted to a client computation platform. Thus different tests can be carried out including, center of forces measurements and gait simulations. These tests can be study of children balance during different activities such as serious game playing for upper limb rehabilitation. The interface shown to be an important tool that provide support to cerebral palsy rehabilitation process, and for objective evaluation of the patients during the rehabilitation period. Several experimental results are included in the paper highlighting the capabilities of the designed and implemented multi-sensing system.info:eu-repo/semantics/acceptedVersio

Penerapan Model Pembelajaran Penemuan Terbimbing (Guided Discovery) untuk Mencapai Ketuntasan Belajar Peserta Didik pada Sub Pokok Bahasan Ikatan Kimia di Kelas X 7 Mia SMA Negri 1 Pasir Penyu

Research about the application of Guided Discovery learning model aims to achieve student\u27s mastery learning on the topic of the chemical bonding in class X 7MIA Science SMAN 1 Pasir Penyu. Has been done the research used one shot-study case design. The sample was that class X 7 MIA selected from the two existing classes. Data analysis technique used the percentage calculation of mastery learning classical. Based on the results of data processing obtained mastery learning classical of knowledge competency is 90,91%, means that the application of Guided Discovery learning model can achieve student\u27s mastery learning on the topic of the chemical bonding in class X 7MIA 1 SMAN 1 Pasir Penyu

Analisis Kinerja Penyuluh dalam Memberdayakan dan Memandirikan Petani Kelapa Pola Swadaya Kecamatan Enok Kabupaten Indragiri Hilir

This research is aimed by the farmer of coconut knowing the activity of extention worker Smallholder Enok District Inhil Regency. Indragir hilir regency is one of regency in Riau province which the capital is Tembilahan. It is devided into 20 sub districts, 198 villages and 38 district. The area is 329.193 Ha Geografis, Indragiri Hilir Province is located at 00 360 LU until 10 070 LS until 1040 100 BT. This research is conducted Enok sub district Indragiri Hilir from January until February 2016. This research is done with colection sample method, interview and giving quisioner, the total of quisioners is 87. The extention worker in Enok subdistrict must be added in order the area can be devided one extention worker one village, because the extention worker can focus arranging the farmer in the area. The implementation of extention worker is still enough because must be increased to do some activities, especially providing of material is suitable in part of the farmer. The extention worker is conducted in the demonstration and aplication of using course increasing group farmer, quality aspect and quantity aspect. The adviser must increase knowledge in cultivation of coconut, the quality of the farmer is categorized lower because the farmer graduated of SMP and SMA. The adviser conducted is not intensif and maximal especially in part of cultivation of coconut, qonsequently the extention worker must do some trainings who followed by the farmer of cultivation coconut for increasing the knowledge of the farmer and focus what extention worker is done for guiding the farmer of coconut

Penerapan Model Pembelajaran Kooperatif Teknik Kepala Bernomor untuk Meningkatkan Hasil Belajar Matematika Siswa Kelas Ix7 SMP Negeri 8 Pekanbaru

This research based on the student's mathematics achievement in class IX7 of SMPN 8 Pekanbaru, there are 12 of 32 students who achieved the Minimum Mastery Criteria or 37,5% for similarity lesson. This research aims to improve the learning process and increase the student's mathematics achievement by applying the model of Cooperative Learning Numbered Head Techniques. The subject of this research were the students in class IX7 SMPN 8 Pekanbaru, there are 32 students with heterogeneous level of academic capabilities. This research is a class action research by two cycles. The instruments of data collection in this research were observation sheets and students mathematic tests. The observation sheets were analyzed in qualitative, while the student's mathematic tests were analyzed in quantitative. The qualitative descriptive showed that there is the improvement of learning process after the action on the first and second cycles. The result showed that there is an increase in student's achievement from the basic score with the percentage 37,5% to 56,25% on the first test and 78,1% on the second test. Based on the result of this research, can be concluded that the implementation of Cooperative Learning Numbered Head Techniques can improve the learning process and increase the student's mathematics achievement class IX7 of SMPN 8 Pekanbaru by the academic years 2014/2015

Design of an artificial neural network and feature extraction to identify arrhythmias from ECG

This paper presents a design of an artificial neural network (ANN) and feature extraction methods to identify two types of arrhythmias in datasets obtained through electrocardiography (ECG) signals, namely arrhythmia dataset (AD) and supraventricular arrhythmia dataset (SAD). No special ANN toolkit was used; instead, each neuron and necessary calculus were modeled and individually programmed. Thus, four temporal-based features are used: heart rate (HR), R-peaks root mean square (R-RMS), RR-peaks variance (RR-VAR), and QSR-complex standard deviation (QSR-SD). The network architecture presents four neurons in the input layer, eight in hidden layer and an output layer with two neurons. The proposed classification method uses the MIT-BIH Dataset (Massachusetts Institute of Technology-Beth Israel Hospital) for training, validation and execution or test phases. Preliminary results show the high efficiency of the proposed ANN design and its classification method, reaching accuracies between 98.76% and 98.91%, when in the identification of NSRD and arrhythmic ECG; and accuracies of 86.37% (AD) and 76.35% (SAD), when analyzing only classifications between both arrhythmias.info:eu-repo/semantics/acceptedVersio

Perdas de mamão (Carica papaya L.) comercializado no Estado do Rio de Janeiro.

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Multi-Level System of Indicators on the Activity of Innovative Technology Parks in the Sectors of Information and Knowledge Economy

This paper reviews the issues of multi-level system of indicators on the activity of innovative technology parks in the sectors of information and knowledge economy. The economic system of developed and developing countries is primarily based on natural and material resources. At the next stage of development, a new innovative economy based on information, knowledge, and ICT is formed through the resource advantages. In such conditions, the main economic development growth is realized in innovative technoparks. The foundations of scientific and methodological development of composite indicator system are explored, in this regard. The stages of development of hierarchical indicators system, requirements posed to them, their generalized composition and content are shown. Main group of indicators characterizing the activity of technology parks separately and its relevant function are defined. A system of multi-level composite indicators integratively reflects the main level and the lower levels coming after it. Indicators system includes the main composite index and 10 sub-indices of technoparks. Composite index contains sub-indices of significance and scalability, infrastructure and information provision, favorable business environment, investment-financial reserves and material-technical resources, innovative potential, activeness and environment, human resources and professional staff training, scientific-research, experimental developments and innovative projects, innovation products and services, effective management and creative results, socio-ecological development. The study presents the stages of successive formation of indicators and variables upon which main indices and sub-indices of technology parks functionally depend. Directions of future research are identified on the basis of indicators