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Effect of Types and Gap on Spark Plugs on Exhaust Emissions on the 110CC Double Wheel Vehicles and Its Dissemination Using Website

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

作者： Tinus Ginting Hotler Manurung Astro Julida Harahap Erianto Ongko H Hartono Dahlan Abdullah Cut Ita Erliana Kundharu Saddhono S Sriadhi Supriyono Akbar Iskandar A A Saleh I Ketut Sudarsana Department of Mechanical Engineering Akademi Teknologi Industri Immanuel Indonesia Department of Informatics Akademi Teknologi Industri Immanuel 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 Electrical Engineering Universitas Negeri Medan Indonesia Department of Geography Education Universitas Prof Dr Hazairin SH Bengkulu Indonesia Department of Informatics STMIK AKBA Makassar Indonesia Statistics Financial & Social Sciences Research Group Indonesia Department of Religious Education Institut Hindu Dharma Negeri Denpasar Denpasar Indonesia

Based on the formulation of the problem to be discussed by the writer is to know: the influence of 0.4 mm spark gap variation, and standard spark plug type, to CO and HC, the influence of 0.5 mm spark plug gap variation, and variation of platinum spark plug on CO and HC, influence of spark gap variation 0,6mm, and variation of iridium spark plug type to CO and HC emission Method used to obtain data needed to support the writer that is research method with experiment, literature study method or literature study The result of this research concludes that there is spark gap influence 0.4 mm, with variations of standard plug, platinum and iridium spark plugs against CO and HC emissions, where the lowest CO value is 0.27% and HC 98 ppm, 0.5 mm spark plug with lowest CO 0.15% and HC 46 ppm, 0.6 mm spark plug gap the lowest CO value of 0.19% and HC 24 ppm. The results of this research will be disseminated using the website

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A novel dataset generating method for fine-grained vehicle classification with CNN

International Journal of Database Theory and Application

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International Journal of Database Theory and Application 2016年第6期9卷 45-52页

作者： Yu, Shaoyong Song, Zhijun Su, Songzhi Li, Wei Wu, Yun Zeng, Wenhua Department of Cognitive Science Xiamen University Xiamen361000 China School of Computer and Information Engineering Xiamen University of Technology Xiamen361024 China The 28th Research Institute of China Electronics Technology Group Corporation Nanjing210007 China

We focus on the issue of dataset generation for fine-grained vehicle classification with CNN. Traditionally, to build a large dataset, images must be first collected manually, and then be annotated with a lot of effort. All these work are time-consuming and cost-prohibitive. In this work we propose a novel method that can generate massive images automatically, and these generated images need no annotation. An AutoCAD 3D model of a car of specified make and model is imported into our system, and then images of different views of the car are generated, these images can describe all the details of a car. By taking these images as training dataset, we use a Convolutional Neural Network to train a model for fine-grained vehicle classification. Experimental results show that these images generated virtually by 3D model indeed work as effective as real images. © 2016 SERSC.

关键词： Neural networks

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Analysis of font legibility for Korean serif and sans serif types in printed and displayed settings 59

Analysis of font legibility for Korean serif and sans serif ...

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59th International Annual Meeting of the Human Factors and Ergonomics Society, HFES 2015

作者： Kim, Minjee Park, Sung-Hwan Ahn, Sung Hee Choi, Myung Bin Yun, Myung-Hwan Interdisciplinary Program in Cognitive Science Seoul National University Seoul Korea Republic of Department of Industrial Engineering Seoul National University Seoul Korea Republic of

ISBN: (纸本)9780945289470

Activities with smart devices have been more complicated and diversified, and font legibility influences these activities both directly and indirectly. This study investigated the difference of Korean font legibility between printed paper and VDT. Four Korean fonts, Dodum and Gulim - sans serif types, and Batang and Gungseo - serif types, were compared in experiments. The result showed that there was a significant difference in the font legibility for printed paper, but not for VDT. On printed paper, serif types were more legible than sans serif types. However, a significant difference between serif types and sans serif types were not found in VDT. Dodum, one of the sans serif font types achieved the highest score on preference in the survey questionnaire among the four Korean fonts. The paper suggests that serif types did not always provide the optimal legibility in VDT. Copyright 2015 Human Factors and Ergonomics Society.

关键词： Ergonomics

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Control and Notification Automatic Water Pump with Arduino and SMS Gateway

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IOP Conference Series: Materials science and engineering 2018年第1期407卷

作者： R Ratnadewi H Nurdiyanto A Najmurrokhman C Prabowo R Idmayanti H Eteruddin C A Sugianto N Kurniasih H K Siburian D Nababan R Rahim Electrical Engineering Universitas Kristen Maranatha Bandung Indonesia Department of Informatics STMIK Dharma Wacana Metro Lampung Indonesia Department of Electrical Engineering Universitas Jenderal Achmad Yani Cimahi Indonesia Department of Information Technology Politeknik Negeri Padang Padang Indonesia Department of Electrical Universitas Lancang Kuning Pekanbaru Indonesia Departement of Informatics Politeknik TEDC Bandung Bandung Indonesia Library and Information Science Program Universitas Padjadjaran Bandung Indonesia Department of Informatics Sekolah Tinggi Manajemen Informatika dan Komputer Medan Indonesia Department of Information System Universitas Pelita Harapan Medan Medan Indonesia School of Computer and Communication Engineering Universiti Malaysia Perlis Kubang Gajah Malaysia

This paper aims to facilitate the owner to control water pump machine from the vacuum, and the condition of the water is it full or not in house or apartment. The current control system still has many limitations in controlling the water pump machine at home or apartment. The water machine control system was designed with device that has a smart surveillance system that can be accessed with Android smartphone and all information from or to machine control system will command by using SMS, this device create a development of Arduino UNO microcontroller technology that allows the reading of the GSM Module and connected with SMS Gateway. Experiment results facilitate real-time water control and much easy for the owner to control water tank.

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Laser annealing heals radiation damage in avalanche photodiodes

arXiv

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arXiv 2017年

作者： Lim, Jin Gyu Anisimova, Elena Higgins, Brendon L. Bourgoin, Jean-Philippe Jennewein, Thomas Makarov, Vadim Institute for Quantum Computing University of Waterloo WaterlooONN2L 3G1 Canada Department of Electrical and Computer Engineering University of Waterloo WaterlooONN2L 3G1 Canada Department of Physics and Astronomy University of Waterloo WaterlooONN2L 3G1 Canada Quantum Information Science Program Canadian Institute for Advanced Research TorontoONM5G 1Z8 Canada

Avalanche photodiodes (APDs) are a practical option for space-based quantum communications requiring single-photon detection. However, radiation damage to APDs significantly increases their dark count rates and reduces their useful lifetimes in orbit. We show that high-power laser annealing of irradiated APDs of three different models (Excelitas C30902SH, Excelitas SLiK, and Laser Components SAP500S2) heals the radiation damage and substantially restores low dark count rates. Of nine samples, the maximum dark count rate reduction factor varies between 5.3 and 758 when operating at −80 ◦C. The illumination power to reach these reduction factors ranges from 0.8 to 1.6 W. Other photon detection characteristics, such as photon detection efficiency, timing jitter, and afterpulsing probability, remain mostly unaffected. These results herald a promising method to extend the lifetime of a quantum satellite equipped with APDs. Copyright © 2017, The Authors. All rights reserved.

关键词： Photons

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Brains as Naturally Emerging Turing Machines

Brains as Naturally Emerging Turing Machines

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International Joint Conference on Neural Networks

作者： Juyang Weng Department of Computer Science and Engineering Cognitive Science Program and Neuroscience Program Michigan State University East Lansing Michigan 48824 USA

ISBN: (纸本)9781479919611

It has been shown that a Developmental Network (DN) can learn any Finite Automaton (FA) [29] but FA is not a general purpose automaton by itself. This theoretical paper presents that the controller of any Turing Machine (TM) is equivalent to an FA. It further models a motivation-free brain--excluding motivation e.g., emotions -- as a TM inside a grounded DN -- DN with the real world. Unlike a traditional TM, the TM-in-DN uses natural encoding of input and output and uses emergent internal representations. In Artificial Intelligence (AI) there are two major schools, symbolism and connectionism. The theoretical result here implies that the connectionist school is at least as powerful as the symbolic school also in terms of the general-purpose nature of TM. Furthermore, any TM simulated by the DN is grounded and uses natural encoding so that the DN autonomously learns any TM directly from natural world without a need for a human to encode its input and output. This opens the door for the DN to fully autonomously learn any TM, from a human teacher, reading a book, or real world events. The motivated version of DN [31] further enables a DN to go beyond action-supervised learning -- so as to learn based on pain-avoidance, pleasure seeking, and novelty seeking [31].

关键词： FA TM DN dwarf novae thulium Automata theory-Turing machines FAS gene Cerebrum

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Cluster adaptive training for deep neural network 40

Cluster adaptive training for deep neural network

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40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015

作者： Tan, Tian Qian, Yanmin Yin, Maofan Zhuang, Yimeng Yu, Kai Key Lab. of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering SpeechLab Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9781467369978

Although context-dependent DNN-HMM systems have achieved significant improvements over GMM-HMM systems, there still exists big performance degradation if the acoustic condition of the test data mismatches that of the training data. Hence, adaptation and adaptive training of DNN are of great research interest. Previous works mainly focus on adapting the parameters of a single DNN by regularized or selective fine-tuning, applying linear transforms to feature or hidden-layer output, or introducing vector representation of non-speech variability into the input. These methods all require relatively large number of parameters to be estimated during adaptation. In contrast, this paper employs the cluster adaptive training (CAT) framework for DNN adaptation. Here, multiple DNNs are constructed to form the bases of a canonical parametric space. During adaptation, an interpolation vector, specific to a particular acoustic condition, is used to combine the multiple DNN bases into a single adapted DNN. The DNN bases can also be constructed at layer level for more flexibility. The CAT-DNN approach was evaluated on an English switchboard task in unsupervised adaptation mode. It achieved significant WER reductions over the unadapted DNN-HMM, relative 6% to 8.5%, with only 10 parameters. © 2015 IEEE.

关键词： Adaptation Cluster Adaptive Training Deep Neural Network

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Colloidal Surfaces with Boundaries, Apex Boojums, and Nested Elastic Self-Assembly of Nematic Colloids

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Physical Review Letters 2016年第27期117卷 277801-277801页

作者： Sungoh Park Qingkun Liu Ivan I. Smalyukh Department of Physics University of Colorado Boulder Colorado 80309 USA Department of Electrical Computer and Energy Engineering Soft Materials Research Center and Materials Science and Engineering Program University of Colorado Boulder Colorado 80309 USA Renewable and Sustainable Energy Institute University of Colorado and National Renewable Energy Laboratory Boulder Colorado 80309 USA

Self-assembly of colloidal particles is poised to become a powerful composite material fabrication technique, but remains challenged by a limited control over the ensuing structures. We develop a new breed of nematic colloids that are physical analogs of a mathematical surface with boundary, interacting with the molecular alignment field without inducing defects when flat. However, made from a thin nanofoil, they can be shaped to prompt formation of self-compensating defects that drive preprogramed elastic interactions mediated by the nematic host. To show this, we wrap the nanofoil on all triangular side faces of a pyramid, except its square base. The ensuing pyramidal cones induce point defects with fractional hedgehog charges of opposite signs, spontaneously align with respect to the far-field director to form elastic dipoles and nested assemblies with tunable spacing. Nanofoils shaped into octahedrons interact as elastic quadrupoles. Our findings may drive realization of low-symmetry colloidal phases.

关键词： Defects Point defects Self-assembly Colloids Liquid crystals Nematic liquid crystals

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Recurrent neural network language model with structured word embeddings for speech recognition 40

Recurrent neural network language model with structured word...

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40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015

作者： He, Tianxing Xiang, Xu Qian, Yanmin Yu, Kai Key Lab. of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering SpeechLab Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9781467369978

Due to effective word context encoding and long-term context preserving, recurrent neural network language model (RNNLM) has attracted great interest by showing better performance over back-off n-gram models and feed-forward neural network language models (FNNLM). However, it still has the difficulty of modelling words of very low frequency in training data. To address this issue, a new framework of structured word embedding is introduced to RNNLM, where both input and target word embeddings are factorized into weighted sum of the corresponding sub-word embeddings. The framework is instantiated for Chinese, where characters can be naturally used as the sub-word units. Experiments on a Chinese twitter LVCSR task showed that the proposed approach effectively outperformed the standard RNNLM, yielding a relative PPL improvement of 8:8% and an absolute 0:59% CER improvement in N-Best re-scoring. © 2015 IEEE.

关键词： Language Model Recurrent Neural Network Speech Recognition Word Embeddings

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A study on fitness function with parameter-free genetic algorithm for non-destructive estimation of permittivity distribution based on capacitance and electric potential

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IEEJ Transactions on Fundamentals and Materials 2016年第4期136卷 164-173页

作者： Ohchi, Masashi Tomiyama, Kazuyoshi Furukawa, Tatsuya Itoh, Hideaki Fukumoto, Hisao Department of Electrical Electronics and Computer Engineering Faculty of Engineering Chiba Institute of Technology 2-17-1 Tudanuma Narashino275-0016 Japan Master's Program in Electrical Electronics and Computer Engineering Graduate School of Engineering Chiba Institute of Technology 2-17-1 Tudanuma Narashino275-0016 Japan Graduate School of Science and Engineering Saga University 1 Honjo-machi Saga840-8502 Japan

We have carried out experimental and numerical analyses for reconstruction of permittivity distribution using a pair of long distance small size electrodes and additional arc electrodes. A reconstruction method for permittivity distribution that uses a genetic algorithm and numerical analysis (finite element method) based on measured capacitance has been proposed and investigated. However, the conventional method had a problem in accuracy. In this paper, the reconstruction method has been improved by using a Parameter-free Genetic Algorithm(PfGA) based on measured capacitance and electric potential. In addition, we have evaluated the fitness function with PfGA. © 2016 The Institute of Electrical Engineers of Japan.

关键词： Finite element method

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