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检索条件"任意字段=Conference on Advances in Optical Data Storage Technology"

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data Driven Approach to Brahmi OCR Error Correction and Sinhala Meaning Generation from Brahmi Character Array

Data Driven Approach to Brahmi OCR Error Correction and Sinh...

引用

International conference on advances in ICT for Emerging Regions

作者： Samushika Wickramarathna Lochandaka Ranathunga Department of Information Technology University of Moratuwa Sri Lanka

ISBN: (数字)9781728151564

ISBN: (纸本)9781728151571

Brahmi is one of ancient scripting languages used in India, South and Central Asia. Brahmi inscriptions are the main source of getting information about ancient Sri Lanka. But manual translation process is very time consuming because Brahmi alphabet, word pattern, meaning and grammar are completely differing than the current Sinhala context. As these inscriptions have been discovered under the drip ledges of caves, rocks and slabs, it is a big challenge for Archaeologists to getting the data from these inscriptions and translating into Sinhala sentences because of various noises. This research paper is containing the after process of OCR character recognition phase, which proposed and implemented an efficient system which can take recognized Brahmi character array without word boundaries as input and convert it into meaningful Sinhala sentences by overcoming the OCR errors and word identification scoring method. Full system which consist of four modules is taking inputs of Brahmi inscription images, and this research module is the third module which takes the recognised Brahmi character array from the output of second module and mainly focused on word detection, overcome OCR errors using 3 error correction methods, Brahmi language model using 2 Bigram models and 1 Trigram model and translation.

关键词： optical character recognition software Arrays Error correction Character recognition Bidirectional control Grammar

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Robust dimensioning and routing for dynamic WDM networks

Robust dimensioning and routing for dynamic WDM networks

引用

International conference on Wireless and optical Communications ( WOCC)

作者： Steven S. Lumetta Xiaolan J. Zhang Sun-il Kim Electrical and Computer Engineering Coordinated Science Laboratory University of Illinois Urbana-Champaign USA Electrical and Computer Systems Engineering University of Alaska Anchorage USA

ISBN: (纸本)9781424475971

advances in device technology and dense wavelength division multiplexing have enabled modern optical backbones to provide high data rate services in a cost-effective manner. At the same time, applications are emerging with the potential to leverage these capabilities for short time spans: load migration for Internet clouds, integrated computational grids, and remote surgery. Until such applications mature, investment in real networks to support them is unattractive, but without such investment, the applications mature slowly. Current networks thus remain dominated by lightpaths provisioned by hand, over the space of days or weeks. Three problems must be solved to enable a rapid transition to dynamic optical networks that integrate well with demands at the Internet Protocol (IP) level: traffic characterization, resource dimensioning, and resource allocation. Traffic characterization provides models of traffic demand variation and evolution, which can only be predicted at this stage. In this paper, we provide an overview of our past and current work on the resource dimensioning and allocation subproblems. We describe our methodology for dimensioning networks based on expected traffic behavior. We next offer a few observations about dealing with statistical variations in network behavior. We develop analytic models of opportunity cost and a congestion-aware routing algorithm based on the models. A near-optimal threshold value for this algorithm can be chosen based on analysis, and simulations demonstrate that this choice is robust to variations in both topology and capacity.

关键词： Robustness Routing WDM networks Telecommunication traffic Traffic control Investments Resource management Algorithm design and analysis Wavelength division multiplexing Biomedical optical imaging

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Wearable Advancements and its Implementation in Sports

Wearable Advancements and its Implementation in Sports

引用

International conference on Information Systems and Computer Networks (ISCON)

作者： Chander Kant Bhardwaj Ram Bhushan Agnihotri Amity Institution of Information Technology Amity University Noida Uttar Pradesh India

ISBN: (数字)9781728136516

ISBN: (纸本)9781728136523

In this research paper we will examine about the utilization of technological applications. This is presently far reaching crosswise over many significant sports tec. disciplines & The selection of these apparatuses to pick up an `upper hand' is an undeniably vital element of tip top sports. These developments have molded the manner in which information is gathered and handled, how data is handed-off among mentors and staff or to competitors, and has bigly affected the manner by which competitors are observed in the everyday preparing and rivalry conditions. This survey features and gives instances of the absolute most recent advances for information gathering and handling, input strategies and preparing devices. We wrap up by talking about certain contemplations for sports researchers and mentors before actualizing new technologies.

关键词： Sports Technological innovation Games Wearable computers Estimation optical sensors

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A Cyberphysical Synthesis Approach for Error Recovery in Digital Microfluidic Biochips 12

A Cyberphysical Synthesis Approach for Error Recovery in Dig...

引用

Design, Automation & Test in Europe conference & Exhibition

作者： Yan Luo Krishnendu Chakrabarty Tsung-Yi Ho Duke University Durham NC National Cheng Kung University Tainan Taiwan

ISBN: (纸本)9783981080186

Droplet-based "digital" microfluidics technology has now come of age and software-controlled biochips for healthcare applications are starting to emerge. However, today's digital microfluidic biochips suffer from the drawback that there is no feedback to the control software from the underlying hardware platform. Due to the lack of precision inherent in biochemical experiments, errors are likely during droplet manipulation, but error recovery based on the repetition of experiments leads to wastage of expensive reagents and hard-to-prepare samples. By exploiting recent advances in the integration of optical detectors (sensors) in a digital microfluidics biochip, we present a "physical-aware" system reconfiguration technique that uses sensor data at checkpoints to dynamically reconfigure the biochip. A re-synthesis technique is used to recompute electrode-actuation sequences, thereby deriving new schedules, module placement, and droplet routing pathways, with minimum impact on the time-to-response.

关键词： system recovery Biochips Microfluidics Hardware Platform wastage Digit Sensor data Digital

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Degradation Modes of InGaN Blue-Violet Laser Diodes Grown on Bulk GaN Wafers

Degradation Modes of InGaN Blue-Violet Laser Diodes Grown on...

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2007 Pacific Rim conference on Lasers and Electro-Optics (CLEO/PACIFIC RIM 2007), vol.3

作者： Chong Cook Kim Yoonho Choi Min-Soo Noh LD Group LG Electronics Institute of Technology 16 Woomyeon-dong Seocho-gu Seoul 137-724 Korea

ISBN: (纸本)1424411742

We investigated the degradation modes in the aging processes of (Al, In)GaN laser diodes on bulk GaN substrates of the dislocation density less than 5×10{sup}6cm{sup}(-2). The estimated lifetime exceeds 2,000h under 160mW pulse-operation at 60℃. The lifetime-limiting degradation is attributed to nonradiative recombination related with the defects extended from GaN substrates.

关键词： Chemical vapor deposition Diode lasers Gallium nitride Indium gallium nitride optical data storage Semiconductor lasers

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optical color image encryption based on Hartley transform and double random phase encoding system

Optical color image encryption based on Hartley transform an...

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International conference on Ultra Modern Telecommunications and Workshops (ICUMT)

作者： K Karuna Kesavan M Ratheesh Kumar Centre for Computer Science and Information Technology University of Calicut Thenhipalam Kerala India Department of Electronics & Communication Engineering MES College of Engineering Kuttipuram Kerala India

This paper reports a new method to realize the color image encryption based on Hartley transform and double random phase encryption technique. In the proposed method a color image is decomposed in to its Red, Green and Blue components. Each color is encrypted independently using double random phase encoding system and Hartley transform. Here the random phase masks and the Hartley transforms are the encryption parameters. It is shown that the decrypted image matches with the input image only when the correct keys are used during the process of decryption. To check the robustness of the technique, mean square error (MSE) between the decrypted and original image has been calculated. The technique can be realized by optical means and hence is useful for optical networks and holographic data storage systems for information security.

关键词： Transforms Encryption optical imaging Adaptive optics Holographic optical components Holography

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WASP: a self-contained upward looking echo sounder

WASP: a self-contained upward looking echo sounder

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OCEANS

作者： D.R. Topham P.H. Johnston Institute of Optical Research Sidney BC Canada

The increasing demands to monitor biological activity, in particular, fish stocks, has led to the development of a self-contained digital echo sounder capable of recording internally for extended periods of time. The current unit operates at 200 kHz with a 6/spl deg/ beam angle, and utilises a 200 Mb hard drive for data storage. Results are presented for a number of deployments requiring differing sampling strategies, ranging from a 9 month time series in the Beaufort Sea to two weeks in the Skeena River B.C.

关键词： Programmable logic arrays Oceans Sampling methods Instruments Read-write memory Marine animals Marine technology Computerized monitoring Energy consumption Digital recording

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Efficient and Secure File Transfer in Cloud Through Double Encryption Using AES and RSA Algorithm

Efficient and Secure File Transfer in Cloud Through Double E...

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Emerging Smart Computing and Informatics (ESCI), conference on

作者： K. Jaspin Shirley Selvan S Sahana G Thanmai St.Joseph’s Institute of Technology Chennai Tamil Nadu India St. Joseph’s College of Engineering Chennai Tamil Nadu India

ISBN: (数字)9781728185194

ISBN: (纸本)9781728185200

With recent advances in Cloud computing, information is being contracted by cloud services. Dropbox and Google Drive provide cloud services to users with low-cost storage. Here we present a protection method by encrypting and decrypting the files which offer an enhanced level of protection. To encrypt the file that we upload in cloud, we make use of Double encryption technique. The file is being encrypted twice using the two algorithms one after the other. The file is first encrypted using AES algorithm and then by RSA algorithm. The corresponding keys are being generated during the execution of the algorithm. This technique increases the security level. The various parameters that we have considered here are security level, speed, data confidentiality, data integrity and cipher text size. Our method is more efficient as it satisfies all the parameters where the conventional methods failed to do so. The cloud we used to store the content of the file is DropBox, which is in the encrypted format using AES and RSA algorithms.

关键词： Cloud computing data privacy Ciphers data integrity Encryption Cryptography Informatics

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CAPTURING GROUND TRUTH SUPER-RESOLUTION data

CAPTURING GROUND TRUTH SUPER-RESOLUTION DATA

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IEEE International conference on Image Processing

作者： Chengchao Qu Ding Luo Eduardo Monari Tobias Schuchert Jurgen Beyerer Vision and Fusion Laboratory Karlsruhe Institute of Technology Fraunhofer IOSB

ISBN: (纸本)9781467399623

Super-resolution (SR) offers an effective approach to boost quality and details of low-resolution (LR) images to obtain high-resolution (HR) images. Despite the theoretical and technical advances in the past decades, it still lacks plausible methodology to evaluate and compare different SR algorithms. The main cause to this problem lies in the missing ground truth data for SR. Unlike in many other computer vision tasks, where existing image datasets can be utilized directly, or with a little extra annotation work, evaluating SR requires that the dataset contain both LR and the corresponding HR ground truth images of the same scene captured at the same time. This work presents a novel prototype camera system to address the aforementioned difficulties of acquiring ground truth SR data. Two identical camera sensors equipped with a wide-angle lens and a telephoto lens respectively, share the same optical axis by placing a beam splitter in the optical path. The back-end program can then trigger their shutters simultaneously and precisely register the region of interests (ROIs) of the LR and HR image pairs in an automated manner free of sub-pixel interpolation. Evaluation results demonstrate the special characteristics of the captured ground truth HR-LR face images compared to the simulated ones. The dataset is made freely available for noncommercial research purposes.

关键词： Super-resolution Face hallucination Image registration Imaging system dataset

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Distributed data Mining with Differential Privacy

Distributed Data Mining with Differential Privacy

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IEEE International conference on Communications Workshops

作者： Ning Zhang Ming Li Wenjing Lou Dept. of Electr. & Comput. Eng. Worcester Polytech. Inst. Worcester MA USA

ISBN: (纸本)9781612842325

With recent advances in communication and data storage technology, an explosive amount of information is being collected and stored in the Internet. Even though such vast amount of information presents great opportunities for knowledge discovery, organizations might not want to share their data due to legal or competitive reasons. This posts the challenge of mining knowledge while preserving privacy. Current efficient privacy-preserving data mining algorithms are based on an assumption that it is acceptable to release all the intermediate results during the data mining operations. However, it has been shown that such intermediate results can still leak private information. In this work, we use differential privacy to quantitatively limit such information leak. Differential privacy is a newly emerged privacy definition that is capable of providing strong measurable privacy guarantees. We propose Secure group Differential private Query (SDQ), a new algorithm that combines techniques from differential privacy and secure multiparty computation. Using decision tree induction as a case study, we show that SDQ can achieve stronger privacy than current efficient secure multiparty computation approach, and better accuracy than current differential privacy approach while maintaining efficiency.

关键词： Privacy data mining secure multi-party computation decision tree induction

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