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Retraction: Sylabus and Matrials Design for Vocational Student and Its Dissemination Using Website (J. Phys.: Conf. Ser. 1114 012023)

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Journal of Physics: Conference Series 2018年第1期1114卷

作者： Astro Julida Harahap Erianto Ongko Hotler Manurung Dian Kurnia H Hartono Dahlan Abdullah Cut Ita Erliana Hardianto Djanggih Kundharu Saddhono Dian Rianita Muhammad Ikhsan Setiawan Yuliyanto Budi Setiawan Rosida Tiurma Manurung S Sriadhi Mangasi Sinurat Aisyah Siregar Rapat Piter Soni Hutauruk Nico Benjamain Sibarani 1 Department of Informatics Akademi Teknologi Industri Immanuel Medan Indonesia Department of Computer Systems Universitas Pancabudi Medan Indonesia Department of Computer Science STMIK IBBI Medan Indonesia Department of Informatics Universitas Malikussaleh Aceh Indonesia Department of Industrial Engineering Universitas Malikussaleh Aceh Indonesia Graduate Program Universitas Sebelas Maret Surakarta Indonesia Department of Administration University of Lancang Kuning Pekanbaru Indonesia Department of Civil Engineering Narotama University Surabaya Indonesia Study Program of Communication Studies Universitas Semarang Indonesia Graduate Program in Scientific Psychology Universitas Kristen Maranatha Indonesia Department of Electrical Engineering Universitas Negeri Medan Indonesia STIE Bina Karya Tebing Tinggi Indonesia

This paper was retracted by IOP Publishing on 12 December 2018. This paper was published due to a technical error and was not intended to be included in this journal. Retraction published: 8 February 2019

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First Constraints on the Epoch of Reionization Using the Non-Gaussianity of the Kinematic Sunyaev-Zel’dovich Effect from the South Pole Telescope and Herschel-SPIRE Observations

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Physical Review Letters 2024年第12期133卷 121004页

作者： S. Raghunathan P. A. R. Ade A. J. Anderson B. Ansarinejad M. Archipley J. E. Austermann L. Balkenhol J. A. Beall K. Benabed A. N. Bender B. A. Benson F. Bianchini L. E. Bleem J. Bock F. R. Bouchet L. Bryant E. Camphuis J. E. Carlstrom T. W. Cecil C. L. Chang P. Chaubal H. C. Chiang P. M. Chichura T.-L. Chou R. Citron A. Coerver T. M. Crawford A. T. Crites A. Cukierman C. Daley K. R. Dibert M. A. Dobbs A. Doussot D. Dutcher W. Everett C. Feng K. R. Ferguson K. Fichman A. Foster S. Galli J. Gallicchio A. E. Gambrel R. W. Gardner F. Ge E. M. George N. Goeckner-Wald R. Gualtieri F. Guidi S. Guns N. Gupta T. de Haan N. W. Halverson E. Hivon G. P. Holder W. L. Holzapfel J. C. Hood J. D. Hrubes A. Hryciuk N. Huang J. Hubmayr K. D. Irwin F. Kéruzoré A. R. Khalife L. Knox M. Korman K. Kornoelje C.-L. Kuo A. T. Lee K. Levy D. Li A. E. Lowitz C. Lu A. Maniyar E. S. Martsen J. J. McMahon F. Menanteau M. Millea J. Montgomery C. Corbett Moran Y. Nakato T. Natoli J. P. Nibarger G. I. Noble V. Novosad Y. Omori S. Padin Z. Pan P. Paschos S. Patil K. A. Phadke K. Prabhu C. Pryke W. Quan M. Rahimi A. Rahlin C. L. Reichardt M. Rouble J. E. Ruhl B. R. Saliwanchik K. K. Schaffer E. Schiappucci C. Sievers G. Smecher J. A. Sobrin A. A. Stark J. Stephen A. Suzuki C. Tandoi K. L. Thompson B. Thorne C. Trendafilova C. Tucker C. Umilta T. Veach J. D. Vieira M. P. Viero Y. Wan G. Wang N. Whitehorn W. L. K. Wu V. Yefremenko M. R. Young J. A. Zebrowski M. Zemcov Center for AstroPhysical Surveys School of Physics and Astronomy Cardiff University Cardiff CF24 3YB United Kingdom Fermi National Accelerator Laboratory MS209 P.O. Box 500 Batavia Illinois 60510 USA Kavli Institute for Cosmological Physics University of Chicago 5640 South Ellis Avenue Chicago Illinois 60637 USA Department of Astronomy and Astrophysics University of Chicago 5640 South Ellis Avenue Chicago Illinois 60637 USA School of Physics University of Melbourne Parkville Victoria 3010 Australia Department of Astronomy University of Illinois Urbana-Champaign 1002 West Green Street Urbana Illinois 61801 USA NIST Quantum Devices Group 325 Broadway Mailcode 817.03 Boulder Colorado 80305 USA Department of Physics University of Colorado Boulder Colorado 80309 USA Institut d’Astrophysique de Paris UMR 7095 CNRS and Sorbonne Université 98 bis boulevard Arago 75014 Paris France High-Energy Physics Division Argonne National Laboratory 9700 South Cass Avenue Lemont Illinois 60439 USA Kavli Institute for Particle Astrophysics and Cosmology Stanford University 452 Lomita Mall Stanford California 94305 USA Department of Physics Stanford University 382 Via Pueblo Mall Stanford California 94305 USA SLAC National Accelerator Laboratory 2575 Sand Hill Road Menlo Park California 94025 USA California Institute of Technology Pasadena California 91125 USA Jet Propulsion Laboratory California Institute of Technology Pasadena California 91109 USA Enrico Fermi Institute University of Chicago 5640 South Ellis Avenue Chicago Illinois 60637 USA Department of Physics University of Chicago 5640 South Ellis Avenue Chicago Illinois 60637 USA Department of Physics and McGill Space Institute McGill University 3600 Rue University Montreal Quebec H3A 2T8 Canada School of Mathematics Statistics and Computer Science University of KwaZulu-Natal Durban South Africa University of Chicago 5640 South Ellis Avenue Chicago Illinois 60637 USA Department of Physics

We report results from an analysis aimed at detecting the trispectrum of the kinematic Sunyaev-Zel’dovich (kSZ) effect by combining data from the South Pole Telescope (SPT) and Herschel-SPIRE experiments over a 100 deg2 field. The SPT observations combine data from the previous and current surveys, namely SPTpol and SPT-3G, to achieve depths of 4.5, 3, and 16 μK−arcmin in bands centered at 95, 150, and 220 GHz. For SPIRE, we include data from the 600 and 857 GHz bands. We reconstruct the velocity-induced large-scale correlation of the small-scale kSZ signal with a quadratic estimator that uses two cosmic microwave background (CMB) temperature maps, constructed by optimally combining data from all the frequency bands. We reject the null hypothesis of a zero trispectrum at 10.3σ level. However, the measured trispectrum contains contributions from both the kSZ and other undesired components, such as CMB lensing and astrophysical foregrounds, with kSZ being sub-dominant. We use the agora simulations to estimate the expected signal from CMB lensing and astrophysical foregrounds. After accounting for the contributions from CMB lensing and foreground signals, we do not detect an excess kSZ-only trispectrum and use this nondetection to set constraints on reionization. By applying a prior based on observations of the Gunn-Peterson trough, we obtain an upper limit on the duration of reionization of Δzre,50<4.5 (95% confidence level). We find these constraints are fairly robust to foregrounds assumptions. This trispectrum measurement is independent of, but consistent with, Planck’s optical depth measurement. This result is the first constraint on the epoch of reionization using the non-Gaussian nature of the kSZ signal.

关键词： Cosmic microwave background Evolution of the Universe Formation & evolution of stars & galaxies

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Enhancing verification and validation education using active learning tools developed through an academia-industry partnership 123

Enhancing verification and validation education using active...

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123rd ASEE Annual Conference and Exposition

作者： Acharya, Sushil Manohar, Priya Schilling, Walter W. Wu, Peter Y. Robert Morris University PittsburghPA United States Software Engineering Program Milwaukee School of Engineering MilwaukeeWI United States Department of Computer and Information Systems Robert Morris University United States

Imparting real world experiences in a software verification and validation (SV&V) course is often a challenge due to the lack of effective active learning tools. This pedagogical requirement is important because graduates are expected to develop software that meets rigorous quality standards in functional and application domains. Realizing the necessity of such teaching tools, the authors designed and developed eighteen (18) delivery hours of Case Studies, sixteen (16) delivery hours of Class Exercises, and six (6) delivery hours of Video Case Studies for use in courses that impart knowledge on SV&V topics viz. requirements engineering, software reviews, configuration management, and software testing. Four key skill areas sought after by employers, namely communication skills, applied knowledge of methods, applied knowledge of tools, and research exposure are used to drive the development funded by a National Science Foundation grant and perfected through an industry-academia partnership. In this paper, we discuss in detail the four project plans the researchers and their industry counterparts followed over the past two years in the development and eventual dissemination of active learning tools. A course enhancement plan was used to drive activities related to reviewing, enhancing, and modularizing modules, identified by a gap analysis performed by focus groups comprised of industry and academic partners. The course delivery plan was used to drive activities related to developing content delivery strategies. An evaluation and assessment plan was used to drive activities related to periodically evaluating student learning and assessing the project. And finally a course dissemination plan is being used to drive activities related to disseminating course modules and assessment reports. Active learning tools have been disseminated through a workshop and other means to universities and industry partners. © American Society for engineering Education, 2016.

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Hybrid cryptosystem RSA – CRT optimization and VMPC

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Journal of Physics: Conference Series 2018年第1期978卷

作者： R Rahmadani H Mawengkang Sutarman Master Program (S2) of Informatics Engineering Faculty of Computer Science and Information Technology Universitas Sumatera Utara Medan Indonesia. Department of Mathematics Faculty of Mathematics and Natural Sciences Universitas Sumatera Utara Medan Indonesia.

Hybrid cryptosystem combines symmetric algorithms and asymmetric algorithms. This combination utilizes speeds on encryption/decryption processes of symmetric algorithms and asymmetric algorithms to secure symmetric keys. In this paper we propose hybrid cryptosystem that combine symmetric algorithms VMPC and asymmetric algorithms RSA – CRT optimization. RSA – CRT optimization speeds up the decryption process by obtaining plaintext with dp and p key only, so there is no need to perform CRT processes. The VMPC algorithm is more efficient in software implementation and reduces known weaknesses in RC4 key generation. The results show hybrid cryptosystem RSA – CRT optimization and VMPC is faster than hybrid cryptosystem RSA – VMPC and hybrid cryptosystem RSA – CRT – VMPC. Keyword : Cryptography, RSA, RSA – CRT, VMPC, Hybrid Cryptosystem.

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Feature extraction of character image using shape energy

Feature extraction of character image using shape energy

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International Electronics Symposium (IES)

作者： Galih Hendra Wibowo Riyanto Sigit Aliridho Barakbah Department of Information and Computer Engineering Graduate Program of Engineering Technology Surabaya Indonesia

ISBN: (纸本)9781509016419

One effort to maintain documents or records is to make changes in the form of digital images. The drawings further processing needs to be done so that the text or sentences therein can be operated as do the search, analysis, or manipulation of the contents of the text. The treatment process is known as optical character recognition (OCR) and continues to develop. OCR is generally divided into three main stages, namely preprocessing, feature extraction and classification. Feature extraction is one of the essential or fundamental processes in character recognition. The purpose of feature extraction is to obtain the characteristics of each character. The results at this stage can affect the quality of character recognition. Generally, feature extraction on character is done by a complex calculation so as to cause the necessary time computing is not a little, especially in real time recognition case. In this paper, feature extraction can be done simply proposed as an alternative, called Shape Energy. This method uses the approach of how humans are able to distinguish between characters or numbers in a simple. It results in three elements which are elasticity, curvature, and texture. The elasticity is first derivative and the curvature is second derivative of each pixel in the frame of the character, which is obtained from thinning. While the texture value is 4-direction chain-codes. This method testing has been done on some type of character by using back propagation neural network as a method on classification stage. This testing resulted in average value accuracy rate of success in identifying these characters by 90.3%.

关键词： Feature extraction Optical character recognition software Character recognition Shape Elasticity Histograms Filtering

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Polarization based secure AES key transmission over optical fiber

Polarization based secure AES key transmission over optical ...

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Ad-Hoc and Sensor Networks Symposium

作者： Shweta Bhosale Bhagyashri Darunkar Nikhil Punekar Greg MacDonald Pramode Verma Telecommunications Engineering Program School of Electrical and Computer Engineering University of Oklahoma-Tulsa

ISBN: (纸本)9781479966653

This paper presents the design and implementation of a new technology that can securely transfer symmetric encryption keys, e.g., Advanced Encryption Standard (AES) keys, over an optical fiber using a polarization-based channel. The integrity of the polarization channel against possible leakage of information is established. The polarization channel is used to transfer symmetric key information between the two parties using states of polarization (SoP) as the carrier of information and to detect presence of an intruder. Since the SoP is known to evolve during propagation along optical fiber, a correction matrix is applied to the received state to recover the original SoP. The information transferred over the corrected SoP forms the key for one or more channels on the fiber for symmetric encryption.

关键词： AES Polarization shift keying State of polarization

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engineering and socio-economic aspects of sustainable energy 6th

Engineering and socio-economic aspects of sustainable energy

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IEEE Global Humanitarian Technology Conference (GHTC)

作者： Mehrdad Ehsani Hussein M. K. Al-Masri Department of Electrical & Computer Engineering Sustainable Energy & Vehicle engineering Program USA

ISBN: (纸本)9781509024339

The key concepts in this paper are that there is plenty of fossil fuels for hundreds of years. The urgency of sustainable energy is from global warming, and equitable access to energy for all humanity. The way forward is to help the developing world (the 90% that dominates the future emissions) with "clean" energy rather than making the developed world clean (10% solution). This has to be done consistent with appropriate technologies, sound business plan, and market economy. There are several examples of technologies resulting from this methodology. The most difficult sustainable energy application is in transportation.

关键词： Decision support systems Conferences Indexes Robustness Automobiles Industry applications Industrial electronics

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Ant colony algorithm for feature selection on microarray datasets

Ant colony algorithm for feature selection on microarray dat...

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International Electronics Symposium (IES)

作者： Tresna Maulana Fahrudin Iwan Syarif Ali Ridho Barakbah Department of Information and Computer Engineering Graduate Program of Engineering Technology Surabaya Indonesia

ISBN: (纸本)9781509016419

Development of microarray technology makes the number of research about Bioinformatics will increase as well. Microarray dataset contains genetic information and can be used to analyze thousands of samples and features. Especially in cancer research, the cancer data is generated by microarray technology, and will be a primary data for training and testing in the machine learning process. The main difficulties lie in the nature of microarray gene expression data which usually are noisy and high-dimensional. Microarray dataset usually has a large number of attributes or features, but it has a small number of samples. This condition makes the learning process microarray dataset has become harder because of the curse of dimensionality, where the machine will be difficult to handle a number of data with a very high-dimensional. The solution to handle a high-dimensional dataset and improve the accuracy of microarray dataset is using feature selection. The method of feature selection is followed the principle of natural selection, called Evolutionary Algorithms. We proposed to implement some Evolutionary Algorithms such as Genetic Algorithm (GA), Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO), which ACO improved F-measure of 9 datasets and ROC Area of 7 datasets from 11 datasets existing in the cancer research.

关键词： Classification algorithms DNA Cancer Ant colony optimization Evolutionary computation Genetic algorithms Measurement

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Bayesian Human Intention Inference Through Multiple Model Filtering with Gaze-based Priors

Bayesian Human Intention Inference Through Multiple Model Fi...

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International Conference on Information Fusion

作者： Harish Chaandar Ravichandar Avnish Kumar Ashwin Dani Department of Electrical and Computer Engineering University of Connecticut Department of Electrical and Computer Engineering Management and Engineering for Manufacturing Program University of Connecticut

ISBN: (纸本)9781509020126

An algorithm called gaze-based multiple model intention estimator (G-MMIE) is presented for early prediction of the goal location (intention) of human reaching actions. To capture the complexity of human arm reaching motion, a neural network (NN) is used to represent the arm motion dynamics. The trajectories of the arm motion for reaching tasks are modeled by using a dynamical system with contracting behavior towards the goal location. The contraction behavior ensures that the model trajectories will converge to the goal location. The NN training is subjected to contraction analysis constraints. In order to use the motion model learned from a few demonstrations with new scenarios and multiple objects, an interacting multiple model (IMM) framework is used. The multiple models are obtained by translating the origin of the contracting system to different known object locations. Each model corresponds to the reaching motion that ends at a certain object location. Since humans tend to look in the direction of the object they are reaching for, the prior probabilities of the models are calculated based on the human eye gaze. The posterior probabilities of the models are calculated through interacting model matched filtering carried out using extended Kalman filters (EKFs). The model or the object location with the highest posterior probability is chosen to be the estimate of the goal location. Experimental results suggest that the G-MMIE algorithm is able to adapt to arbitrary sequences of reaching motions and the gaze-based prior outperforms the uniform prior in terms of intention inference accuracy and average time of inference.

关键词： a posteriori probability Filtration Human average time

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Dual-memory deep learning architectures for lifelong learning of everyday human behaviors 25

Dual-memory deep learning architectures for lifelong learnin...

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25th International Joint Conference on Artificial Intelligence, IJCAI 2016

作者： Lee, Sang-Woo Lee, Chung-Yeon Kwak, Dong Hyun Kim, Jiwon Kim, Jeonghee Zhang, Byoung-Tak School of Computer Science and Engineering Seoul National University Korea Republic of Interdisciplinary Program in Neuroscience Seoul National University Korea Republic of NAVER LABS Korea Republic of

Learning from human behaviors in the real world is important for building human-aware intelligent systems such as personalized digital assistants and autonomous humanoid robots. Everyday activities of human life can now be measured through wearable sensors. However, innovations are required to learn these sensory data in an online incremental manner over an extended period of time. Here we propose a dual memory architecture that processes slow-changing global patterns as well as keeps track of fast-changing local behaviors over a lifetime. The lifelong learnability is achieved by developing new techniques, such as weight transfer and an online learning algorithm with incremental features. The proposed model outperformed other comparable methods on two real-life data-sets: the image-stream dataset and the real-world lifelogs collected through the Google Glass for 46 days.

关键词： Intelligent systems

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