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Specifications and Modeling [chapter]

Peter Marwedel
2021 Embedded Systems  
This will be followed by a presentation of popular models of computations, in combination with examples of the corresponding languages.  ...  First of all, we will capture requirements for modeling techniques. Next, we will provide an overview of models of computation.  ...  Accordingly, when digital systems became more complex in the 1980s, textual HDLs almost completely replaced graphical HDLs. Textual HDLs were initially a research topic at universities.  ... 
doi:10.1007/978-3-030-60910-8_2 fatcat:gxmydpjzjvfk7ni2rj62j365zi

Enhanced vector space models for content-based recommender systems

Cataldo Musto
2010 Proceedings of the fourth ACM conference on Recommender systems - RecSys '10  
However, a well-known drawback of SVD is represented by the complexity of the approach.  ...  A more complex method for negative relevance feedback is proposed in [LAWX09], where Li et al. introduce an algorithm that analyzes a textual corpus in order to identify general concepts that are not to  ... 
doi:10.1145/1864708.1864791 dblp:conf/recsys/Musto10 fatcat:btpepieksvdrtpgdihskllxc34

Graph Neural Networks for Natural Language Processing: A Survey [article]

Lingfei Wu, Yu Chen, Kai Shen, Xiaojie Guo, Hanning Gao, Shucheng Li, Jian Pei, Bo Long
2021 arXiv   pre-print
As a result, thereis a surge of interests in developing new deep learning techniques on graphs for a large numberof NLP tasks.  ...  We propose a new taxonomy of GNNs for NLP, whichsystematically organizes existing research of GNNs for NLP along three axes: graph construction,graph representation learning, and graph based encoder-decoder  ...  Lightweight, dynamic graph convolutional networks for AMR-to-text generation.  ... 
arXiv:2106.06090v1 fatcat:zvkhinpcvzbmje4kjpwjs355qu

Implicit, Formal and Powerful Semantics in Geoinformation

Gloria Bordogna, Cristiano Fugazza, Paolo Acquaviva d'Aragona, Paola Carrara
2021 ISPRS International Journal of Geo-Information  
Distinct, alternative forms of geosemantics, whose classification is often ill-defined, emerge in the management of geospatial information.  ...  From a meta-review of the state of the art in geosemantics, this paper first pinpoints "keywords" representing key concepts, challenges, methods, and technologies.  ...  To this end, the framework known as state-context-property (SCOP) based on quantum mechanics [205] has been defined to map elements taken from operational foundations of quantum mechanics (like states  ... 
doi:10.3390/ijgi10050330 fatcat:tscz7fb6evbhdo7fw4lyf3i4yq

Internet Traffic Surveillance & Network Monitoring in India: Case Study of NETRA

Rajan Gupta, Sunil Kumar Muttoo
2017 Network Protocols and Algorithms  
India, being a center of attraction for terrorist activities, is also working towards the development of such surveillance systems.  ...  The design of the NETRA scheme and implementation level analysis of the system shows few weaknesses like limited memory options, limited channels for monitoring, pre-set filters, ignoring big data demands  ...  Proposed Framework for the NETRA like Surveillance System The need for a more comprehensive approach is required for improving and developing a surveillance system like that of NETRA.  ... 
doi:10.5296/npa.v8i4.10179 fatcat:vt5fzm5ug5h3bmwbjnd6wk6c4e

Taxonomy induction based on a collaboratively built knowledge repository

Simone Paolo Ponzetto, Michael Strube
2011 Artificial Intelligence  
A lemmatizer automatically determines the lemma for a word. Stem: The stem (or the root) is the part of the word which does not change when the word is inflected or the word class changes.  ...  For instance, the head of a verb phrase is a verb, the head of a noun phrase is a noun. Modifiers are optional elements of phrases. They can be words, phrases and clauses.  ...  We would like to thank Hinrich Schütze for his advice throughout the development of this work, Vivi Nastase for critically reading earlier versions of this paper, and AAAI-07 and AIJ reviewers for their  ... 
doi:10.1016/j.artint.2011.01.003 fatcat:lqpmsockpjaedbtwruvn6fsxxq

Execution of UML models: a systematic review of research and practice

Federico Ciccozzi, Ivano Malavolta, Bran Selic
2018 Journal of Software and Systems Modeling  
For example, using (f)UML and Alf, it is possible to fully describe a software functionally, while exploiting the UML profile for Modeling and Analysis of Real-Time and Embedded Systems (MARTE) [34] for  ...  Alf is a textual surface representation for UML modeling elements, whose execution semantics is given by mapping Alf's concrete syntax to the abstract syntax of fUML.  ...  , and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.  ... 
doi:10.1007/s10270-018-0675-4 fatcat:ayrdh7bdejfj5hpkt5p5iv6hz4

Computer and Information Science, Vol. 1, No. 4, November 2008, all in one file

Editor CIS
2008 Computer and Information Science  
To perform this analysis, a simple word extraction algorithm is used to extract each individual word from the document to generate a list of words.  ...  In this paper we emphasize the hybrid classification approach which utilizes the simplicity of the Bayes formula as a vectorizer and the good generalization capability of the text classification algorithm  ...  It is physical process that of propagation is electromagnetworksic wave makes for mutual action with medium. Expression for Model of UWB signal: We get Power spectral density function:  ... 
doi:10.5539/cis.v1n4p0 fatcat:j5oetg3ex5fxboaobvd3erc6tu

Convolutional neural networks in medical image understanding: a survey

D. R. Sarvamangala, Raghavendra V. Kulkarni
2021 Evolutionary Intelligence  
A critical discussion on some of the challenges is also presented.  ...  This article aims to provide a comprehensive survey of applications of CNNs in medical image understanding.  ...  Ramaiah University of Applied Sciences, Bengaluru, India.  ... 
doi:10.1007/s12065-020-00540-3 pmid:33425040 pmcid:PMC7778711 fatcat:ykdwhdv3pzfqpnueyieinxofie

Towards the Improvement of Automated Scientific Document Categorization by Deep Learning [article]

Thomas Krause
2017 arXiv   pre-print
This master thesis describes an algorithm for automated categorization of scientific documents using deep learning techniques and compares the results to the results of existing classification algorithms  ...  As an additional goal a reusable API is to be developed allowing the automation of classification tasks in existing software.  ...  Basic Input The input of the neural network is a list of word vectors based on word embeddings like they are trained by word2vec.  ... 
arXiv:1706.05719v1 fatcat:chnkh3rrzvevrlejjlzlgwsg3u

International Research Conference on Smart Computing and Systems Engineering SCSE 2020 Proceedings [Full Conference Proceedings]

2020 2020 International Research Conference on Smart Computing and Systems Engineering (SCSE)  
ACKNOWLEDGMENT The authors would like to thank the Department of Census and Department of Irrigation, Sri Lanka for providing the paddy yield and climate data for this study.  ...  in the University of Kelaniya for their immense support and encouragement they gave throughout the development phase of the data sets.  ...  classification algorithm for textual emotion recognition.  ... 
doi:10.1109/scse49731.2020.9313027 fatcat:gjk5az2mprgvrpallwh6uhvlfi

ICCIT 2020 Conference Proceedings [Front matter]

2020 2020 23rd International Conference on Computer and Information Technology (ICCIT)  
Bhavani Thuraisingham is the Founders Chair Professor of Computer Science and the  ...  Robust and Consistent Estimation of Word Embedding for Bangla Language by fine-tuning Word2Vec Model Abstract: Word embedding or vector representation of word holds syntactical and semantic characteristics  ...  For the acquirement of semantic textual similarity, the words semantics and their senses should be considered. In this paper, we proposed a ratio considering words overlapping.  ... 
doi:10.1109/iccit51783.2020.9392749 fatcat:pz3hf7rsmzbjpe6hxjlu5tmrfq

Defense Advanced Research Projects Agency (Darpa) Fiscal Year 2015 Budget Estimates

Department Of Defense Comptroller's Office
2014 Zenodo  
DARPA seeks to improve the analysis of large neural data sets by creating interfaces that will allow researchers to generate new models across multiple scales.  ...  The budget request details the proposed investments $80 million to develop new sets of tools for imaging and analytics of neural and synaptic brain activities that will improve diagnosis and care of wounded  ...  -Developed a system for detecting malicious cyber insiders using a lightweight embedding technique on existing web applications, including a lightweight collection module, a detection point toolkit, an  ... 
doi:10.5281/zenodo.1215345 fatcat:fjzhmynqjbaafk67q2ckcblj2m

Knowledge-Integrated Informed AI for National Security [article]

Anu K. Myne, Kevin J. Leahy, Ryan J. Soklaski
2022 arXiv   pre-print
This report shares findings from a thorough exploration of AI approaches that exploit data as well as principled and/or practical knowledge, which we refer to as "knowledge-integrated informed AI."  ...  The state of artificial intelligence technology has a rich history that dates back decades and includes two fall-outs before the explosive resurgence of today, which is credited largely to data-driven  ...  For many tasks, designing a good reward function is hard, especially for tasks that are complex, have many steps, or have delayed rewards.  ... 
arXiv:2202.03188v1 fatcat:sabdacy56ngizpo54ukxtg3o7y

A survey on GANs for computer vision: Recent research, analysis and taxonomy [article]

Guillermo Iglesias, Edgar Talavera, Alberto Díaz-Álvarez
2022 arXiv   pre-print
The efficiency of the different variants of the model architecture will be evaluated, as well as showing the best application area; as a vital part of the process, the different metrics for evaluating  ...  Our survey aims to provide a general overview of GANs, showing the latest architectures, optimizations of the loss functions, validation metrics and application areas of the most widely recognized variants  ...  approach followed in DF-GAN was reused in Lightweight Dynamic Conditional GAN (LD-CGAN) [41] .  ... 
arXiv:2203.11242v1 fatcat:iwlxphpgonfj5poaoombahyygu
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