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7th International Congress on Ambient Intelligence, Software Engineering, and e-Health and Mobile Health, AmITIC 2024

作者： Ramírez-Méndez, Jose Quesada-López, Christian University of Costa Rica Graduate Program in Computing and Informatics San Pedro Costa Rica University of Costa Rica Department of Computer Science and Informatics San Pedro Costa Rica

ISBN: (纸本)9798350364538

This study evaluates an agent-based reinforcement learning framework for model-based testing (MBT). The framework's performance was assessed on three key metrics: effectiveness and efficiency in achieving model coverage objectives, the quantity and uniqueness of generated test cases, and code coverage. The results show improved metrics for the framework compared to traditional testers in model coverage evaluation and test case metrics. Specifically, the framework achieved higher effectiveness and efficiency, generating a higher average number of test cases with a substantial proportion of unique cases, indicating more diverse and thorough testing. Additionally, the framework, along with random and greedy testers, achieved over 70% coverage across branch, method, and line code metrics. The framework showed slightly higher values in method and line coverage compared to other testers. The evaluation highlights the use of agent-based reinforcement learning to support model-based testing in planning test case generation, exploring models using multiple strategies, and learning guided by testing metrics. Future work will focus on further refining the framework learning model, including error coverage evaluation, and testing its applicability across different software systems. © 2024 IEEE.

关键词： Adversarial machine learning

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Information hiding based on histogram and pixel pattern

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Journal of Cyber Security and Mobility 2017年第4期6卷 397-425页

作者： Barmawi, Ari Moesriami Pradeka, Deden Informatics Graduate Program School of Computing Telkom University Indonesia

Recently, information exchange using internet is increasing, such that information security is necessary for securing confidential information because it is possible to eavesdrop the information. There are several methods for securing the exchanged information such as was proposed by Rejani et al. Rejani's method can be noiseless in low capacity but noisy in high capacity. In the case of high capacity, it will raise suspicion. This research proposed a method based on histogram and pixel pattern for keeping the stego image noiseless while still keeping the capacity high. Secret information can be embedded into the cover by evaluating the histogram and map the characters used in the secret message to the consecutive intensity in the cover image histogram. The map of the characters is sent to the recipient securely. Using the proposed method there is no pixel value changes during the embedding process. Based on the result of the experiments, it is shown that in noiseless condition, the proposed method has higher embedding capacity than Rejani's especially when using cover image with sizes larger than 128 × 128. Thus, in noiseless condition the embedding capacity using the proposed method is higher than Rejani's method in noiseless condition. © 2018 the Author(s).

关键词： Graphic methods

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A charge-redistribution based controller for keeping charge balance in neural stimulation 58

A charge-redistribution based controller for keeping charge ...

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58th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2015

作者： Teixeira, Lucas Rodrigues, Cesar Prior, Cesar Graduate Program in Informatics Federal University of Santa Maria Brazil Dept.of Electronics and Computing - CT Federal University of Santa Maria Brazil

ISBN: (纸本)9781467365574

In this article, we present a circuit solution for sensing and controlling functional electrical stimulation (FES) currents. The objective is to keep both charge balance and residual electrode voltage under a safe limit throughout stimulation. In the proposed circuit, the stimulation current is set through an ultra-low-power charge-redistribution digital-to-analog converter (CR-DAC). Each stimulation pulse is copied by high-ratio current mirror into switched capacitors which integrate the residual direct current (DC) resulting from FES imbalances. As residual electrode voltage may buildup even for perfectly balanced current pulses, alternated cathodic-first and anodic-first stimulation is adopted to complement the charge-balancing mechanism. Simulation results suggest that the circuit is able to keep both residual charge and electrode voltage under safe limits, smaller than 0.05% and 64 mV respectively. © 2015 IEEE.

关键词： Low power electronics

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Interacting with Cultural Heritage Through Shape Representation Techniques in 3D Modeling Environments 8th

Interacting with Cultural Heritage Through Shape Representat...

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8th European-Mediterranean Conference, EuroMed 2020

作者： Moralıoğlu, Begüm Aktaş, Begüm Architectural Design Computing Graduate Program Istanbul Technical University Institute of Informatics Istanbul Turkey Department of Architecture Altınbas University Istanbul Turkey

ISBN: (纸本)9783030730420

Three-dimensional (3D) representation of cultural heritage in a digital environment is coming into prominence for documentation of geometric and semantic details and the interpretation of shape representation from academic studies to commercial practices. To interpret cultural and historical shapes, the use of the computational medium is expanding with developing technologies. Advanced 3D design and development applications appear every day with distinct functions. However, not every technology provides designers a convenient medium to create, explore, and think naturally. In that sense, digital design mediums and tools become important to enhance the interactivity level with cultural heritage for designers through different interfaces. Particularly, the utilities of design interfaces are essential for preserving reconstructing ruined cultural heritage in the digital design mediums. In this study, we investigate the designers’ creative design process in the context of shape representation methods within the possibilities of two different 3D design interfaces as a computer and virtual reality (VR) interfaces. At first, we conducted a shape exploration exercise to generate the 3D model pieces of the Dark Church in Cappadocia. And then, we used the generated 3D model pieces in a shape representation exercise to observe the seeing, imagining, and acting abilities of designers in computer and VR environments. © 2021, Springer Nature Switzerland AG.

关键词： 3D modeling

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Improved LSTM hyperparameters alongside sentiment walk-forward validation for time series prediction

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Journal of Open Innovation: Technology, Market, and Complexity 2025年第1期11卷

作者： Wahyuddin, Eko Putra Caraka, Rezzy Eko Kurniawan, Robert Caesarendra, Wahyu Gio, Prana Ugiana Pardamean, Bens Department of Statistical Computing Politeknik Statistika STIS Jakarta 13330 Indonesia Statistics Indonesia (BPS) Jl. Dr Sutomo 6-8 Jakarta Indonesia School of Economics and Business Telkom University Bandung 40257 Indonesia Research Center for Data and Information Sciences Research Organization for Electronics and Informatics National Research and Innovation Agency (BRIN) Bandung 40135 Indonesia Faculty of Integrated Technologies Universiti Brunei Darussalam Gadong BE1410 Brunei Darussalam Department of Mathematics Universitas Sumatera Utara Medan 20155 Indonesia Bioinformatics and Data Science Research Centre Bina Nusantara University DKI Jakarta 11480 Indonesia Computer Science Department BINUS Graduate Program Master of Computer Science Program Bina Nusantara University DKI Jakarta 11480 Indonesia

This study aims to address the common issue of biased estimation errors in time series modeling by analyzing the error in locating ideal hyperparameters and defining appropriate validation methods. Specifically, it focuses on predicting the stock price of Bank Rakyat Indonesia using a combination of historical stock prices, technical indicators, exchange rates, and news sentiment data, while determining the optimal variables for deep learning models. Employing a deep learning-based Long-Short Term Memory (LSTM) model, the study optimizes hyperparameters alongside walk-forward validation for time series prediction. It explores different combinations of variables and adapts the sliding window approach to the context of the data. The results highlight the importance of optimizing hyperparameters and utilizing walk-forward validation for accurate time series prediction. The model incorporating historical stock prices and sentiment scores outperforms others, achieving an RMSE of 96.61 and MAE of 86.97. Incorporating sentiment scores reduces RMSE by 39.55 % compared to models using only historical stock prices, while adding technical indicators does not yield improvement. This study contributes to the field by addressing the issue of biased estimation errors in time series modeling, offering insights into the optimization of hyperparameters and validation methods for accurate predictions. It also underscores the significance of incorporating sentiment analysis alongside historical stock prices for improved forecasting accuracy. © 2024 The Authors

关键词： LSTM Sentiment analysis Stock price prediction Time series modeling Validation methods

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GPU Acceleration of MIP Intra Prediction in VVC 31

GPU Acceleration of MIP Intra Prediction in VVC

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31st European Signal Processing Conference, EUSIPCO 2023

作者： Storch, Iago Roma, Nuno Palomino, Daniel Bampi, Sergio Graduate Program in Computing Institute of Informatics Federal University of Rio Grande do Sul Porto Alegre Brazil Lisboa Portugal Instituto Superior Técnico Universidade de Lisboa Lisboa Portugal Federal University of Pelotas Graduate Program in Computing Video Technology Research Group Pelotas Brazil

ISBN: (纸本)9789464593600

The Versatile Video Coding (VVC) standard introduced several novel encoding tools for intra frame prediction, increasing the encoder complexity when compared to previous standards. Among these novelties is the MIP tool, whose acceleration has not been tackled in the literature. Therefore, an efficient parallelization of MIP prediction targeting GPU platforms is now proposed. The presented technique makes use of alternative reference samples and computes the distortion in an approximate manner to expose and potentiate massive parallelism. Moreover, the adopted prediction scheduling and memory communication were tailored by considering the GPUs' architecture and memory hierarchy. When compared with a CPU execution, this work is capable to accelerate the MIP prediction up to 105 times at the cost of a negligible coding efficiency loss of 0.284% BD-BR. © 2023 European Signal Processing Conference, EUSIPCO. All rights reserved.

关键词： Graphics processing unit

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Business intelligence model to support a judge's decision making about legal situations 36

Business intelligence model to support a judge's decision ma...

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36th IEEE Central American and Panama Convention, CONCAPAN 2016

作者： Oconitrillo, Luis Raul Rodriguez De La Ossa Osegueda, Alvaro Graduate Program in Computing and Informatics University of Costa Rica San José Costa Rica School of Computer Science University of Costa Rica San José Costa Rica

ISBN: (纸本)9781467395786

Legal decision-making support is key for legal security in any legal system. This paper describes a new scope and method for Business Intelligence applied in the legal domain. We describe a legal case processing model based on the transformation of relevant data from a legal case file by a judge, to produce what we call the judge's perception of the case. That is a representation of the case that stresses (1) the relevance of the different attributes of the case, and (2) the relationships among attributes that the judge considers relevant for argumentation purposes. © 2016 IEEE.

关键词： Case based reasoning

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Code compression using Multi-Level Dictionary

Code compression using Multi-Level Dictionary

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2013 IEEE 4th Latin American Symposium on Circuits and Systems, LASCAS 2013

作者： Dias, Wanderson Roger Azevedo Moreno, Edward David Federal University of Amazonas - UFAM Institute of Computing - IComp Post-Graduate Program in Informatics - PPGI Manaus Brazil Federal University of Sergipe - UFS Center for Exact Sciences and Technology - CCET Department of Computing - DComp Aracaju Brazil

ISBN: (纸本)9781424494859

This paper presents a new code compression method in which we merge the Huffman algorithm with the formation of patterns of blocks and three dictionaries. We seek two consecutive blocks in two levels, one of them into compressed code and the other related to uncompressed code. We have used simulation with SimpleScalar and programs from MiBench. Our proposal has achieved a compression rate of 32.6% and 31.9%, respectively, for ARM and MIPS processor. © 2013 IEEE.

关键词： Codes (symbols)

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Linguistic Based Steganography Using Lexical Substitution and Syntactical Transformation

Linguistic Based Steganography Using Lexical Substitution an...

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International Conference on IT Convergence and Security (ICITCS)

作者： Ari Barmawi Informatics Graduate Program School of Computing Telkom University Bandung Indonesia

ISBN: (纸本)9781509037667

Recently, secure information transmission is necessary such that no one can detect information sent via an open channel. In 2013, Chang and Clark proposed a method using lexical substitution and vertex coding for securing the information exchange between parties, such that no one can detect the exchanged information. However, the maximum payload capacity was still 2 bits. This work proposed a method for increasing the payload capacity of Chang's method by applying additional syntactical transformation instead of only lexical substitution and vertex coding. Based on the implementation, the payload resulted by the proposed method may increase minimum 2 bits, such that the minimum payload size is 4 bits, which is greater than Chang's method.

关键词： Encoding Receivers Pragmatics Payloads Context Natural languages Semantics

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Escada: Predicting Virtual Machine Network Bandwidth Demands for Elastic Provisioning in IaaS Clouds 4

Escada: Predicting Virtual Machine Network Bandwidth Demands...

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4th IEEE International Conference on Cloud and Autonomic computing, ICCAC 2017

作者： Marques, Jonatas Adilson Obelheiro, Rafael Rodrigues Institute of Informatics Federal University of Rio Grande Do sul Porto Alegre Brazil Graduate Program in Applied Computing Department of Computer Science Santa Catarina State University Joinville Brazil

ISBN: (纸本)9781538619391

In Infrastructure as a Service clouds, customers lease virtual resources (e.g., CPU, memory, network) offered by cloud providers, paying for the allocated capacity of resources, regardless of their effective use. In this context, it is in the interest of the customers to reserve resources with sufficient capacity so that their applications achieve good performance while, at the same time, minimizing their expenses with idle capacities. The correct provisioning of resources is also invaluable to providers, who seek to maximize the resource usage of their physical infrastructures, avoiding spending maintenance costs with unused hardware such as high capacity servers and networking devices. We introduce Escada, a novel model for network bandwidth prediction to guide the provisioning of virtual machines. Escada is application-oblivious and dynamically adapts to changes in a virtual machine workload profile. The network flows of a virtual machine are monitored and used to estimate its total required bandwidth over a time period. A prediction algorithm is then applied to the entire history of estimates to predict the virtual machine future required bandwidth. Our experimental evaluation shows that the estimates provided by Escada are useful for guiding the prediction of network bandwidth requirements, providing accurate bandwidth estimates even when the network is under-provisioned. Furthermore, Escada correctly adjusts its prediction algorithm faster than the state-of-the-art model and predicts more reliably during the adjusting period. © 2017 IEEE.

关键词： Virtual machine

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