The Experts below are selected from a list of 6054954 Experts worldwide ranked by ideXlab platform
Christoph J Brabec - One of the best experts on this subject based on the ideXlab platform.
-
beyond ternary opv high throughput experimentation and self driving laboratories optimize multicomponent systems
Advanced Materials, 2020Co-Authors: Stefan Langner, Alan Aspuruguzik, Florian Hase, Jose Dario Perea, Tobias Stubhan, Jens Hauch, Loic M Roch, Thomas Heumueller, Christoph J BrabecAbstract:Fundamental advances to increase the efficiency as well as stability of organic photovoltaics (OPVs) are achieved by designing ternary blends, which represents a clear trend toward multicomponent active layer blends. The development of high-throughput and autonomous experimentation methods is reported for the effective optimization of multicomponent polymer blends for OPVs. A method for automated film formation enabling the fabrication of up to 6048 films per day is introduced. Equipping this automated experimentation platform with a Bayesian optimization, a self-driving laboratory is constructed that autonomously evaluates measurements to design and execute the next experiments. To demonstrate the potential of these methods, a 4D parameter space of quaternary OPV blends is mapped and optimized for photostability. While with conventional approaches, roughly 100 mg of material would be necessary, the robot-based platform can screen 2000 combinations with less than 10 mg, and machine-learning-enabled autonomous experimentation identifies stable compositions with less than 1 mg.
Kondala Manogna - One of the best experts on this subject based on the ideXlab platform.
-
design and evaluation of a hybrid feature descriptor based handwritten character inference technique
2019 IEEE International Conference on Intelligent Techniques in Control Optimization and Signal Processing (INCOS), 2019Co-Authors: Raja R Subramanian, Baram Ramesh Babu, Kodidela Mamta, Kondala ManognaAbstract:Handwritten character inference refers to the task of converting the character images into the corresponding digital characters. A hybrid descriptor based character recognition algorithm is proposed in this paper. The novel hybrid descriptor model exhibits a better character inference rate when empirically assessed against the standard Chars74K dataset and the self curated Telugu handwritten character dataset. In order for the computational complexity of the recognition task to reduce, the number of comparisons required to recognize the character is reduced using an effective pruning technique. Experimentation of the proposed technique depicted that the proposed hybrid model recognizes the characters at a better rate compared to the techniques using HMM model, HoG, run length features and transform based feature extraction techniques.
-
design and evaluation of a hybrid feature descriptor based handwritten character inference technique
2019 IEEE International Conference on Intelligent Techniques in Control Optimization and Signal Processing (INCOS), 2019Co-Authors: Raja R Subramanian, Baram Ramesh Babu, Kodidela Mamta, Kondala ManognaAbstract:Handwritten character inference refers to the task of converting the character images into the corresponding digital characters. A hybrid descriptor based character recognition algorithm is proposed in this paper. The novel hybrid descriptor model exhibits a better character inference rate when empirically assessed against the standard Chars74K dataset and the self curated Telugu handwritten character dataset. In order for the computational complexity of the recognition task to reduce, the number of comparisons required to recognize the character is reduced using an effective pruning technique. Experimentation of the proposed technique depicted that the proposed hybrid model recognizes the characters at a better rate compared to the techniques using HMM model, HoG, run length features and transform based feature extraction techniques.
Daniele Gibelli - One of the best experts on this subject based on the ideXlab platform.
-
animal experimentation in forensic sciences how far have we come
Forensic Science International, 2015Co-Authors: C. Cattaneo, Emanuela Maderna, A Rendinelli, Daniele GibelliAbstract:Abstract In the third millennium where ethical, ethological and cultural evolution seem to be leading more and more towards an inter-species society, the issue of animal experimentation is a moral dilemma. Speaking from a self-interested human perspective, avoiding all animal testing where human disease and therapy are concerned may be very difficult or even impossible; such testing may not be so easily justifiable when suffering–or killing–of non human animals is inflicted for forensic research. In order to verify how forensic scientists are evolving in this ethical issue, we undertook a systematic review of the current literature. We investigated the frequency of animal experimentation in forensic studies in the past 15 years and trends in publication in the main forensic science journals. Types of species, lesions inflicted, manner of sedation or anesthesia and euthanasia were examined in a total of 404 articles reviewed, among which 279 (69.1%) concerned studies involving animals sacrificed exclusively for the sake of the experiment. Killing still frequently includes painful methods such as blunt trauma, electrocution, mechanical asphyxia, hypothermia, and even exsanguination; of all these animals, apparently only 60.8% were anesthetized. The most recent call for a severe reduction if not a total halt to the use of animals in forensic sciences was made by Bernard Knight in 1992. In fact the principle of reduction and replacement, frequently respected in clinical research, must be considered the basis for forensic science research needing animals.
Raja R Subramanian - One of the best experts on this subject based on the ideXlab platform.
-
design and evaluation of a hybrid feature descriptor based handwritten character inference technique
2019 IEEE International Conference on Intelligent Techniques in Control Optimization and Signal Processing (INCOS), 2019Co-Authors: Raja R Subramanian, Baram Ramesh Babu, Kodidela Mamta, Kondala ManognaAbstract:Handwritten character inference refers to the task of converting the character images into the corresponding digital characters. A hybrid descriptor based character recognition algorithm is proposed in this paper. The novel hybrid descriptor model exhibits a better character inference rate when empirically assessed against the standard Chars74K dataset and the self curated Telugu handwritten character dataset. In order for the computational complexity of the recognition task to reduce, the number of comparisons required to recognize the character is reduced using an effective pruning technique. Experimentation of the proposed technique depicted that the proposed hybrid model recognizes the characters at a better rate compared to the techniques using HMM model, HoG, run length features and transform based feature extraction techniques.
-
design and evaluation of a hybrid feature descriptor based handwritten character inference technique
2019 IEEE International Conference on Intelligent Techniques in Control Optimization and Signal Processing (INCOS), 2019Co-Authors: Raja R Subramanian, Baram Ramesh Babu, Kodidela Mamta, Kondala ManognaAbstract:Handwritten character inference refers to the task of converting the character images into the corresponding digital characters. A hybrid descriptor based character recognition algorithm is proposed in this paper. The novel hybrid descriptor model exhibits a better character inference rate when empirically assessed against the standard Chars74K dataset and the self curated Telugu handwritten character dataset. In order for the computational complexity of the recognition task to reduce, the number of comparisons required to recognize the character is reduced using an effective pruning technique. Experimentation of the proposed technique depicted that the proposed hybrid model recognizes the characters at a better rate compared to the techniques using HMM model, HoG, run length features and transform based feature extraction techniques.
Frank W Stahnisch - One of the best experts on this subject based on the ideXlab platform.
-
alexander von humboldt galvanism animal electricity and self experimentation part 2 the electric eel animal electricity and later years
Journal of the History of the Neurosciences, 2013Co-Authors: Stanley Finger, Marco Piccolino, Frank W StahnischAbstract:After extensive experimentation during the 1790s, Alexander von Humboldt remained skeptical about “animal electricity” (and metallic electricity), writing instead about an ill-defined galvanic force. With his worldview and wishing to learn more, he studied electric eels in South America just as the new century began, again using his body as a scientific instrument in many of his experiments. As had been the case in the past and for many of the same reasons, some of his findings with the electric eel (and soon after, Italian torpedoes) seemed to argue against biological electricity. But he no longer used galvanic terminology when describing his electric fish experiments. The fact that he now wrote about animal electricity rather than a different “galvanic” force owed much to Alessandro Volta, who had come forth with his “pile” (battery) for multipling the physical and perceptable effects of otherwise weak electricity in 1800, while Humboldt was deep in South America. Humboldt probably read about and saw vo...
-
alexander von humboldt galvanism animal electricity and self experimentation part 1 formative years naturphilosophie and galvanism
Journal of the History of the Neurosciences, 2013Co-Authors: Stanley Finger, Marco Piccolino, Frank W StahnischAbstract:During the 1790s, Alexander von Humboldt (1769–1859), who showed an early interest in many facets of natural philosophy and natural history, delved into the controversial subject of galvanism and animal electricity, hoping to shed light on the basic nature of the nerve force. He was motivated by his broad worldview, the experiments of Luigi Galvani, who favored animal electricity in more than a few specialized fishes, and the thinking of Alessandro Volta, who accepted specialized fish electricity but was not willing to generalize to other animals, thinking Galvani's frog experiments flawed by his use of metals. Differing from many German Naturphilosophen, who shunned “violent” experiments, the newest instruments, and detailed measurement, Humboldt conducted thousands of galvanic experiments on animals and animal parts, as well as many on his own body, some of which caused him great pain. He interpreted his results as supporting some but not all of the claims made by both Galvani and Volta. Notably, becaus...