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TEM Characterization of the Edges of CsPb2Br5 Perovskite Crystals

Microscopy and Microanalysis 2018年第S1期24卷 1984-1985页

作者： Hector A. Calderon Francisco Robles-Hernandez Yanan Wang Chong Wang Xinghua Su Viktor G. Hadjiev Yizhou Ni Md Kamrul Alam Yan Yao Yu Yang Instituto Politecnico Nacional ESFM Depto. Fisica CDMX Mexico 07338 Inst. of Fund. Frontier Scie. U. of Electronic Science and Technology Sichuan610054 China Dep. of Electrical and Computer Engineering University of Houston Houston Texas77204 USA Inst. of Optoel. Inf. Mat. School of Mat. Sci. and Eng. Yunnan University Kunming 650091 China School of Materials Science and Engineering Chang'an University Xi'an Shaanxi710061 China Texas Center for Superconductivity University of Houston Houston TX77204 USA Department of Mechanical Engineering University of Houston Houston TX77204 USA Department of Physics University of Houston Houston Texas77204 USA Materials Science & Engineering University of Houston Houston Texas77204 USA

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Personality traits and music genre preferences: How music taste varies over age groups 1

Personality traits and music genre preferences: How music ta...

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1st Workshop on Temporal Reasoning in Recommender systems, RecTemp 2017

作者： Ferwerda, Bruce Tkalcic, Marko Schedl, Markus School of Engineering Jönköping University P.O. Box 1026 JönköpingSE-551 11 Sweden Faculty of Computer Science Free University of Bozen-Bolzano Piazza Domenicani 3 Bozen-BolzanoI-39100 Italy Dep. of Computational Perception Johannes Kepler University Altenberger Strasse 69 Linz4040 Austria

Personality traits are increasingly being incorporated in systems to provide a personalized experience to the user. Current work focusing on identifying the relationship between personality and behavior, preferences, and needs oen do not take into account dierences between age groups. With music playing an important role in our lives, dierences between age groups may be especially prevalent. In this work we investigate whether dierences exist in music listening behavior between age groups. We analyzed a dataset with the music listening histories and personality information of 1415 users. Our results show agreements with prior work that identied personality-based music listening preferences. However, our results show that the agreements we found are in some cases divided over dierent age groups, whereas in other cases additional correlations were found within age groups. With our results personality-based systems can provide beer music recommendations that is in line with the user’s age. Copyright © 2017 for this paper by its authors.

关键词： Music

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APEM: Automatic paraphrase evaluation using morphological analysis for the Korean language 18

APEM: Automatic paraphrase evaluation using morphological an...

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18th International Conference on Advanced Communications Technology, ICACT 2016

作者： Moon, Sung Won Gweon, Gahgene Choi, Hojin Heo, Jeong Dep. of Knowledge Service Engineering KAIST Daejeon Korea Republic of Dep. of Computer Science KAIST Daejeon Korea Republic of Knowledge Mining Research Team ETRI Daejeon Korea Republic of

ISBN: (纸本)9788996865063

Paraphrase evaluation is used to determine whether two input sentences share a same meaning. The automatic analysis for paraphrase evaluation technology has a potential use in the area of information retrieval technology since correctly paraphrased sentences can be used as alternative input sentences in the retrieval process. In this paper, we suggest an automatic paraphrase evaluation method using morphological analysis (APEM), which is suitable for the Korean language. Using APEM and its variations, we present preliminary results on how our automatic evaluation scores compare to the existing method of bilingual evaluation understudy (BLEU). © 2016 Global IT Research Institute (GiRI).

关键词： Morphology

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Learning network of multivariate hawkes processes: A time series approach 32

Learning network of multivariate hawkes processes: A time se...

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32nd Conference on Uncertainty in Artificial Intelligence 2016, UAI 2016

作者： Etesami, Jalal Kiyavash, Negar Zhang, Kun Singhal, Kushagra Dep. of Industrial and Enterprise Systems Eng. Coordinated Science Lab. UIUC UrbanaIL61801 United States Dep. of Philosophy Carnegie Mellon University PittsburghPA15213 United States Dep. of Electrical and Computer Eng. Coordinated Science Lab. UIUC UrbanaIL61801 United States

ISBN: (纸本)9781510827806

Learning the influence structure of multiple time series data is of great interest to many disciplines. This paper studies the problem of recovering the causal structure in network of multivariate linear Hawkes processes. In such processes, the occurrence of an event in one process affects the probability of occurrence of new events in some other processes. Thus, a natural notion of causality exists between such processes captured by the support of the excitation matrix. We show that the resulting causal influence network is equivalent to the Directed Information graph (DIG) of the processes, which encodes the causal factorization of the joint distribution of the processes. Furthermore, we present an algorithm for learning the support of excitation matrix of a class of multivariate Hawkes processes with exponential exciting functions (or equivalently the DIG). The performance of the algorithm is evaluated on synthesized multivariate Hawkes networks as well as a stock market and MemeTracker real-world dataset.

关键词： Matrix algebra

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Learning analytics trends and challenges in engineering education: SNOLA special session

Learning analytics trends and challenges in engineering educ...

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2018 IEEE Global engineering Education Conference - Emerging Trends and Challenges of engineering Education, EDUCON 2018

作者： Rodriguez, Manuel Caeiro Gonzalez, Miguel Angel Conde Alvarez, Ainhoa Larranaga, Mikel Mones, Alejandra Martinez Munoz-Merino, Pedro J. Hernandez-Garcia, Angel Pastor, Rafael Cruz-Benito, Juan Munoz, Salvador Ros Guenaga, Mariluz Departamento de Enxeñaría Telemática Universidade de Vigo Vigo Spain Área de Arquitectura y Tecnología de Computadores Universidad de León Spain Departamento de Lenguajes y Sistemas Informáticos Euskal Herriko Unibersitatea UPV/EHU Spain Departamento de Informática Universidad de Valladolid Spain Departamento de Ingeniería Telemática Universidad Carlos III de Madrid Spain Dep. Ing. de Organización Adm. de Empresas y Estadística Universidad Politécnica de Madrid Spain Departamento de Sistemas de Comunicación y Control Universidad Nacional de Educación A Distancia Spain GRIAL Research Group Computer Science Department University of Salamanca Spain Faculty of Engineering Universidad de Deusto Spain

ISBN: (纸本)9781538629574

SNOLA is a Thematic Network of Excellence recognized by the Spanish Ministry of Economy and Competitiveness composed of the main Spanish researchers in the field of learning analytics. This network emerged in 2013 focusing mainly on the technology underlying learning analytics development, but also interested on the integration of other views and disciplines that give the network a wider scope. During these years, SNOLA has carry out numerous actions with the goal of promoting the collaboration on this field, the diffusion of knowledge and initiatives, the collection of resources and the provision of broad support. Remarkable examples of these efforts have been LASI Spain events, workshops at TEEM conferences or the numerous webinars. In this case, the EDUCON 2018 has given us the opportunity to organize this special session where 5 papers have been selected for presentation. © 2018 IEEE.

关键词： Learning systems

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Cooperative in-vivo nano-network communication at terahertz frequencies

arXiv

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arXiv 2017年

作者： Abbasi, Qammer H. Nasir, Ali Arshad Yang, Ke Qaraqe, Khalid Alomainy, Akram Dep. of Electrical and Computer Engineering Texas A & M University Qatar Queen Mary University of London UET Lahore Pakistan King Fahd University of Petroleum and Minerals Saudi Arabia Antennas & Electromagnetics School of Electronic Engineering and Computer Science Queen Mary University of London London United Kingdom

Nano devices have great potential to play a vital role in future medical diagnostics and treatment technologies because of its non-invasive nature and ability to reach delicate body sites easily as compared to conventional devices. In this paper, a novel concept of cooperative communication for in-vivo nano network is presented to enhance the communication among these devices. The effect on the system outage probability performance is conducted for various parameters including relay placement, number of relays, transmit power, bandwidth and carrier frequency. Results show approximately a 10-fold increase in the system outage performance whenever an additional relay is included in the cooperative network, hence show a great potential of using cooperative communication to enhance the performance of nano-network at terahertz frequencies. Copyright © 2017, The Authors. All rights reserved.

关键词： Terahertz waves

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Stator Winding Short-Circuit Fault Diagnosis in Induction Motors using Random Forest

Stator Winding Short-Circuit Fault Diagnosis in Induction Mo...

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IEEE International Electric Machines and Drives Conference

作者： Tiago dos Santos Fernando J. T. E. Ferreira Joao Moura Pires Carlos Damasio Department of Computer Science NOVA-LINCS Nova University of Lisbon (FCT/UNL) Lisbon Portugal Dep. of Electrical and Computer Engineering Institute of Systems and Robotics University of Coimbra Coimbra Portugal

ISBN: (纸本)9781509042821

In this paper, an approach to detect stator winding short-circuit faults in squirrel-cage induction motors based on Random Forest and Park's Vector is proposed. This is accomplished by scoring the unbalance in the current and voltage waveforms as well as in Park's Vector, both for current and voltage. To score the unbalance in the d-q space, a Principal Component Analysis is applied to Park's Vector and with the first two principal components the eccentricity is calculated, while the first principal component is used to determine the phase in short-circuit. The proposed strategy has been experimentally tested on a special 400-V, 50-Hz, 4-pole, 2.2-kW induction motor with reconfigurable stator windings in which it was possible to emulate different types of inter-turn short-circuits. The results are quite promising, even only using 1-kHz sampling frequency to acquire the current and voltage waveforms in the three phases, and the use of the Fast Fourier Transform is avoided. The developed solution may be used for tele-monitoring of the motor condition and to implement advanced predictive maintenance strategies.

关键词： Fault diagnosis Induction motor Inter-turn short-circuit Stator winding PCA Predictive maintenance Machine learning Classification Random forest

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Toward Service Aggregation for Edge Computing

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Procedia computer science 2016年 94卷 424-428页

作者： Jabril Abdelaziz Mehdi Adda Hamid Mcheick Mathematics and Computer Science Dep. University of Quebec at Chicoutimi Chicoutimi (Qc) Canada Mathematics Computer Science and Engineering Dep. University of Quebec at Rimouski Rimouski (Qc) Canada

Interoperability is one of crucial Internet-related research domains. Today, there is a shift in the architecture of the Internet and the traditional communication model; the human part in machine communication is blurring into a more sophisticated thing-to-thing communication model. In this model things search for other things and provide collaboration-base services, this way leading to more complex interaction issues. Especially, interoperability must transcend the use of protocols and include semantic to make the different building blocks of the Internet of Things (IoT) work together and exploit the maximum of it. Hence, we present our vision and concept of a multilayer model for IoT infrastructure to: abstract the data sources infrastructure, define filtering and formatting mechanisms, and to present pertinent data in the form of simple unitary or aggregation of multiple services.

关键词： IoT fog computing thing-to-thing communication service composition

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A PTC Scheme for Internet of Things: Private-Trust-Confidentiality

A PTC Scheme for Internet of Things: Private-Trust-Confident...

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International Conference on Advanced Information Networking and Applications Workshops (AINAW)

作者： Chih-Hsueh Lin Wen-Shyong Hsieh Fu Mo Ming-Hao Chang Dep. of Computer and Communication Shu-Te University Taiwan Dep. of Computer Science and Engineering National Sun Yat-sen University Taiwan Dep. of Computer Science Guangdong University of Science and Technology Dongguan China

ISBN: (纸本)9781509024629

Privacy, trust and confidentiality are the main issues of sensor layer in Internet of Things (IOT). In sensor layer, the sensing information must be transmitted from sensor node to gather node by multiple hopping. Every sensor node will be the sender and the relay node to forward the sensing information sent by other nodes. In this paper, BS embeds S+1 secret into the keys that are derived from the real identity of sensor node, to be as the private secret keys for every sensor node. One of the secret is the common secret that is owned by all sensor nodes, the rest S secretes are the random secret used for making mutual trust. Based on the secret index set and private secret keys, we propose a mutual trust method to explore the trust types and the pairing value among the sensor nodes without any negotiating process. To deny the right of malicious nodes to make trust with other nodes, we involve a group key to hash the secret index set to do making trust and pairing value mutually. Based on the trust types and the pairing values, the sensor nodes can set a secure path to deliver the sensing information to base station.

关键词： Indexes Public key Wireless sensor networks Radiation detectors Broadcasting Internet of things

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Optimal placement of landmarks for indoor localization using sensors with a limited range

Optimal placement of landmarks for indoor localization using...

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International Conference on Indoor Positioning and Indoor Navigation (IPIN)

作者： Payam Nazemzadeh Daniele Fontanelli David Macii Dep. of Information Engineering and Computer Science University of Trento Trento Italy Dep. of Industrial Engineering University of Trento Trento Italy

ISBN: (纸本)9781509024261

Indoor positioning often requires detecting and recognizing ad-hoc landmarks or anchor points with known coordinates and/or a given orientation within a given reference frame. Typically, the available kind of sensors and their detection area determine the landmark features and position. Of course, an excessive use of landmarks pose serious scalability and cost issues, whereas, on the other hand, a too-low amount of dep.oyed landmarks may create areas where agent's position is hard to track or localization accuracy drops. In addition, often sensors are not omni-directional. In this paper, the optimal placement problem of landmarks detected by sensors with a limited detection area is addressed in the general case of wide-open, ideally unbounded, rooms. First, landmarks placement optimization is performed numerically. Then, a closed-form expression of the optimal distance between landmarks on a regular pattern is determined as a function of both the reading range and the directional properties of the sensor considered. Finally, the performances of the chosen placement strategy in more realistic indoor environments (i.e. consisting of multiple rooms with obstacles therein) are evaluated through simulations assuming, without loss of generality, that a wheeled robot equipped with a front camera adjusts its own position by detecting suitable visual landmarks.

关键词： Lattices Robot sensing systems Cameras Optimization RFID tags

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