Bilevel shared control for teleoperators

A shared system is disclosed for robot control including integration of the human and autonomous input modalities for an improved control. Autonomously planned motion trajectories are modified by a teleoperator to track unmodelled target motions, while nominal teleoperator motions are modified through compliance to accommodate geometric errors autonomously in the latter. A hierarchical shared system intelligently shares control over a remote robot between the autonomous and teleoperative portions of an overall control system. Architecture is hierarchical, and consists of two levels. The top level represents the task level, while the bottom, the execution level. In space applications, the performance of pure teleoperation systems depend significantly on the communication time delays between the local and the remote sites. Selection/mixing matrices are provided with entries which reflect how each input's signals modality is weighted. The shared control minimizes the detrimental effects caused by these time delays between earth and space

Development of a fuzzy decision support system to determine the severity of obstructive pulmonary in chemical injured victims

Background: Chronic Obstructive Pulmonary Disease (COPD) is the most common known complication of exposure to mustard gas. Thus, all clinical guidelines have provided some recommendation for diagnosis, clinical management and treatment of this disease. Decision support systems are used to increase the acceptance of clinical guidelines. The purpose of this research is to develop a CDSS to determine the severity of COPD in chemical injured victims. Objectives: Development of a decision support system to determine the severity of COPD. Patients and Methods: First, the variables influencing to determining the severity of the disease was classified through studying the clinical guidelines. Then, the fuzzy model was implemented. To testing the system, the data from 50 patients were used. Results: the overall accuracy in determining the severity of the injury is equal to 92, these indicators reflect the proper functioning of the system to assist the physician regarding the diagnosis of chronic obstructive pulmonary disease and determining its severity. Conclusions: The CDSS has efficient results and satisfactory performance. Although, the medical expert systems cannot be expected to provide 100 percent correct responses, however, they can be useful in the areas of patient management, diagnosis and treatment planning. © 2015 Taha Samad-Soltani, Mostafa Ghanei, Mostafa Langarizadeh

Real-Time Implementation of Demand Response Programs Based on Open ADR Technology

In the Demand Response (DR) concepts, we witness several barriers that need to be addressed such as, data transferring from promoting entities to demand side. The Open Automated Demand Response (Open ADR) standard specification is a solution for overcoming these barriers. This PhD work proposes a real business model for DR implementation based on Open ADR technology.The present work was done and funded in the scope of the following projects: H2020 DREAM-GO Project (Marie Sklodowska-Curie grant agreement No 641794); and UID/EEA/00760/2013 funded by FEDER Funds through COMPETE program and by National Funds through FCT.info:eu-repo/semantics/publishedVersio

Peningkatan Pemahaman Konsep Fisika Dengan Menggunakan Metode Penemuan Terbimbing Kelas Viib SMPN 8 Makassar

Penelitian ini bertujuan untuk meningkatkan pemahaman konsep fisika dengan metode penemuan terbimbing pada peserta didik kelas VIIB SMP Negeri 8 Makassar. Jenis penelitian ini adalah classroom action research (penelitian tindakan kelas) yang terdiri dari dua siklus dimana pada siklus pertama dilaksanakan sebanyak tiga kali pertemuan, dan pada siklus ke dua dilaksanakan sebanyak empat kali pertemuan. Subjek dalam penelitian ini adalah peserta didik kelas VIIB SMP Negeri 8 Makassar sebanyak 39 orang. Hasil penelitian menunjukkan bahwa pada siklus pertama yang tuntas secara klasikal dari 39 peserta didik hanya 25 peserta didik atau 64,10% yang memenuhi kriteria ketuntasan minimal (KKM). Secara individual belum terpenuhi karena nilai rata-rata diperoleh sebesar 71,38. Sedangkan pada siklus II dimana dari 39 peserta didik terdapat 30 orang atau 76,92% telah memenuhi KKM dan secara klasikal dan secara individual dengan skor rata-rata yang diperoleh sebesar 77,31. Berdasarkan hasil penelitian tersebut di atas, dapat disimpulkan pemahaman konsep fisika peserta didik kelas VIIB SMP Negeri 8 Makassar melalui penerapan metode penemuan terbimbing mengalami peningkatan.Kata kunci: pemahaman konsep, penemuan terbimbing, kkm, klasikal, skor rata-rataThis study aims to improve understanding of physics concepts with guided discovery method in class students of SMP Negeri VIIB 8 Makassar. This research was classroom action research (action research), which consists of two cycles in which the first cycle meetings held three times, and the cycle to two meetings held four times. Subjects in this study were VIIB class students of SMP Negeri 8 Makassar as many as 39 people. The results showed that in the first cycle is completed in the classical style of 39 students only 25 or 64.10% of learners who meet the minimum completeness criteria (KKM). Individual has not met since the average value obtained was 71.38. While in the second cycle of 39 learners where there are 30 people or 76.92% in compliance and in the classical KKM and individually with an average score of 77.31 earned. Based on the above results, it can be concluded understanding of physics concepts VIIB class students of SMP Negeri 8 Makassar through the application of guided discovery methods have increased

Minat Belajar Siswa Terhadap Pelaksanaan Jam Belajar Tambahan Pada Mata Pelajaran Pai Kelas VIII

AbstrakPenelitian ini bertujuan untuk mendiskripsikan minat belajar siswa terhadap pelaksanaan jam belajar tambahan pata mata pelajaran PAI Kelas VIII di SMP Negeri 1 Towuti Luwu Timur. Penelitian ini menggunakan jenis penilitian Kualitatif dengan pendekatan Minat belajar siswa dan pelaksanaan jam belajar tambahan. Subjek penelitian ini adalah Guru dan Siswa Kelas VIII SMP Negeri 1 Towuti Luwu Timur. Data yang dikumpulkan melalui observasi, wawancara dan dokumentasi. Hasil penelitian menunjukkan minat belajar siswa terhadap pelaksanaan jam belajar tambahan pada mata pelajaran PAI Kelas VIII di SMP Negeri 1 Towuti Luwu Timur, Yang telah menggunakan banyak jumlah rujukan, menjelaskan materi dengan baik, memancing siswa dalam bertanya dan mampu menjawab pertanyaan dari siswa dan dilihat dari sisi pelaksanaan jam belajar tambahan guru PAI dalam meningkatkan minat belajar siswa yaitu tersedianya sarana dan prasarana sekolah yang mendukung, Jadwal belajar PAI yang mendukung siswa kelas VIII dalam pelaksanaan jam belajar tambahan.Kata Kunci : Minat Belajar Siswa, Pelaksanaan Jam Belajar Tambaha

Spesies Lalat Buah Yang Menyerang Sayuran Solanaceae Dan Cucurbitaceae Di Sumatera Selatan

. Herlinda, S., Zuroaidah, Y. Pujiastuti, S. Samad, and T. Adam. 2008. Species of Fruitfly Attacking Solanaceous and Cucurbitaceous Vegetables in South Sumatera. The research was aimed to identify the species of fruitfly infesting Solanaceous and Cucurbitaceous vegetables at the center of vegetable production in South Sumatera. Survey had been conducted in central areas of Solanaceous vegetable (Lycopersicum esculentum Miller, Solanum melongena L., Lycopersicum pimpinellifolium L., and Capsicum annuum L.), and cucurbitaceous vegetable (Cucumis sativus L., Luffa acutangula L., Momordica charantia Linn., and Sechium edule Jack). There were 4 fruitfly species found in South Sumatera, i.e. Bactrocera cucurbitae (Coquillett), Bactrocera dorsalis (Hendel), Bactroceratau (Walker), and Bactrocera umbrosus Fabricius. Among them, B. cucurbitae was found on fruits of C. sativus, L. acutangulata, M. charantia, and S. edule; Bactrocera tau was found on fruits of C. sativus; B. dorsalis was found on fruits of C. annuum, L. esculentum, L. pimpinellifolium, and S. melongena. Three species of fruitfly were trapped by methyl eugenol, namely B. dorsalis, B. cucurbitaceae, and B. umbrosus

Feedback regulation of the heat shock response in E. coli

Survival of organisms in extreme conditions has necessitated the evolution of stress response networks that detect and respond to environmental changes. Among the extreme conditions that cells must face is the exposure to higher than normal temperatures. In this paper, we propose a detailed biochemical model that captures the dynamical nature of the heat-shock response in Escherichia coli. Using this model, we show that both feedback and feedforward control are utilized to achieve robustness, performance, and efficiency of the response to the heat stress. We discuss the evolutionary advantages that feedback confers to the system, as compared to other strategies that could have been implemented to get the same performance

Machine learning methods for automatic silent speech recognition using a wearable graphene strain gauge sensor

Silent speech recognition is the ability to recognise intended speech without audio information. Useful applications can be found in situations where sound waves are not produced or cannot be heard. Examples include speakers with physical voice impairments or environments in which audio transference is not reliable or secure. Developing a device which can detect non-auditory signals and map them to intended phonation could be used to develop a device to assist in such situations. In this work, we propose a graphene-based strain gauge sensor which can be worn on the throat and detect small muscle movements and vibrations. Machine learning algorithms then decode the non-audio signals and create a prediction on intended speech. The proposed strain gauge sensor is highly wearable, utilising graphene’s unique and beneficial properties including strength, flexibility and high conductivity. A highly flexible and wearable sensor able to pick up small throat movements is fabricated by screen printing graphene onto lycra fabric. A framework for interpreting this information is proposed which explores the use of several machine learning techniques to predict intended words from the signals. A dataset of 15 unique words and four movements, each with 20 repetitions, was developed and used for the training of the machine learning algorithms. The results demonstrate the ability for such sensors to be able to predict spoken words. We produced a word accuracy rate of 55% on the word dataset and 85% on the movements dataset. This work demonstrates a proof-of-concept for the viability of combining a highly wearable graphene strain gauge and machine leaning methods to automate silent speech recognition.EP/S023046/

What issues bring primary school children to counselling? A service evaluation of presenting issues across 291 schools working with Place2Be

Background: Poor mental health reduces children’s ability to function at school, which in turn may undermine their mental health. The provision of school-based counselling aims to help schools to support their pupil’s mental health. Most work on the types of difficulties brought to school counsellors has focused on secondary school pupils (aged 11 years or over) and to our knowledge, this is the first study of presenting issues in younger children. Method: Data were systematically collected using a list of 21 potential presenting issues during assessment and formulation of 8,893 children referred for counselling in 291 UK primary schools over 3 years. We explored the number, severity and types of presenting issues recorded by counsellors in the whole sample by gender. Results: The children assessed by counsellors had higher levels of known correlates for poor mental health than their peers in the same schools. Most children had multiple presenting issues, while 55% of children had at least one severe presenting issue. The commonest presenting issues were generalised anxiety, low self-esteem, family tensions and mood swings. Girls were more likely to present with all types of anxiety and family tensions, while attentional problems and mood swings were commoner among boys. Conclusions: Children referred for counselling in primary schools often present with multiple difficulties, which are often severe. This indicates the need for systematic and detailed assessment, adequate training and supervision and good links with external agencies

Teaching Excellence: A Reaction to the Smith Commission Report and its Effects

This paper has been written partially in response to the Smith Commission Report, and partially in response to the reactions the report has elicited already. The Smith Commission Report voiced many valid concerns about teaching excellence; however, many of the so-called "innovations" that have been developed in answer to Stuart Smith's call for teaching excellence are, in fact, little different from those techniques implemented under the auspices of the Ontario Universities Program for Institutional Development (OUPID) in the 1960's and early 1970's. This being the case, the authors feel that the most likely result will be a similar lack of success. It is, therefore, our suggestion that an attempt ought to be made to change the infrastructure of the university sys- tem so that it supports good teaching and research with equal measure. This, above all else, should lead to real improvements in the quality of teaching