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Accuracy-, Delay- and Area-Driven Evaluation of Lower-Part Approximate Parallel Prefix Adder

Accuracy-, Delay- and Area-Driven Evaluation of Lower-Part A...

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IEEE International Conference on Electronics, Circuits and Systems (ICECS)

作者： Morgana M. A. Rosa Eduardo Costa Rafael Soares Sergio Bampi Graduate Program on Computing Federal University of Pelotas (UFPel) Pelotas Brazil Graduate Program on Electronic Engineering and Computing Catholic University of Pelotas (UCPel) Pelotas Brazil PPGC & PGMICRO - Informatics Institute Federal University of Rio Grande do Sul (UFRGS) Porto Alegre Brazil

This work proposes an accuracy-driven evaluation model of an approximate adder (AxA) called an approximate parallel prefix adder (AxPPA). It explores the significance of approximate computing (AxC) in optimizing performance and energy efficiency in computer systems by accepting minor accuracy trade-offs. We examine the AxPPA through a meticulous error analysis model and an automated analysis framework that comprehensively evaluates area and delay based on the fundamental equations of parallel prefix adders (PPAs). Additionally, it emphasizes the importance of lower-part approximation in adders, effectively addressing the elongation of carry chains and enhancing overall efficiency. The choice of approximation method directly impacts computational accuracy, resulting in variations in the number of approximated bits and carry chain length for a given tolerance level. Conducting a thorough comparison of accuracy trade-offs requires a unique design and simulation for each unit and approximation level, which can be time-consuming, particularly in larger circuits. Therefore, the proposed approach facilitates the exploration of larger circuit design space encompassing multiple AxAs, significantly minimizing time investment. In our experiments, the accuracy-driven evaluation of the lower part approximation method in AxA took 71.268 milliseconds for 1 million random inputs, with a K -bits approximation ranging from 1 to 16. The results indicate that AxPPA exhibits a minor error magnitude among the explored literature AxAs, being approximately 50.97% more accurate on average.

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An Ultra Low-Energy VLSI Approximate Discrete Haar Wavelet Transform for ECG Data Compression

An Ultra Low-Energy VLSI Approximate Discrete Haar Wavelet T...

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IEEE International Conference on Electronics, Circuits and Systems (ICECS)

作者： Arthur Cardozo Morgana M. A. Rosa Rafael Soares Eduardo Costa Sergio Bampi Graduate Program on Computing Federal University of Pelotas (UFPel) Pelotas Brazil Graduate Program on Electronic Engineering and Computing Catholic University of Pelotas (UCPel) Pelotas Brazil PPGC & PGMICRO - Informatics Institute Federal University of Rio Grande do Sul (UFRGS) Porto Alegre Brazil

This work proposes an ultra-low-energy ECG data compression with VLSI DHWT-based (discrete Haar wavelet transform) architecture to enable storage and transmission in resource-constrained environments. We present original, pruned, and approximate DHWT (ODHWT, PDHWT, and AxDHWT, respectively) hardware architectures for ECG data compression at ultra-high energy efficiency. Our best proposal employing the AxDHWT hardware architecture requires just five additions only. Using a PDHWT technique to improve energy efficiency observes the evolution of the signal-to-noise ratio and the ultimate impact on the ECG data compression application. The DHWT-based configurations architecture proposal achieves a minimum compression ratio of 0.125 (i.e., 1/8) and a PRD (percent root difference) <1.34. We implemented the VLSI architectures in 65nm CMOS technology in maximum and fixed frequencies and two different supply voltages. The AxDHWT occupies a die area of 0.64mm 2 . The measured total power is $0.534\mu {\mathrm {W}}$, the higher energy-savings among the ECG data compression architectures.

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A Study on Text Feature Selection Using Ant Colony and Grey Wolf Optimization 7

A Study on Text Feature Selection Using Ant Colony and Grey ...

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7th International Conference on informatics and Computing, ICIC 2022

作者： Widians, Joan Angelina Wardoyo, Retantyo Hartati, Sri Universitas Gadjah Mada Doctoral Program Dept. of Computer Science and Electronics Indonesia Universitas Mulawarman Faculty of Engineering Dept. of Informatics Samarinda Indonesia Universitas Gadjah Mada Faculty of Mathematics and Natural Sciences Dept. of Computer Science and Electronics Yogyakarta Indonesia

ISBN: (纸本)9798350345711

Text classification (TC) is widely used for organizing digital documents. The issues in TC are numerous characteristics and high-element dimensions. Many pattern classification issues require feature selection (FS), which is pertinent. FS removes unneeded and redundant data from the dataset. The Ant Colony Optimization (ACO) and Grey Wolf Optimizer (GWO) for FS are the main topics of our thorough assessment of the literature on the Swarm Intelligence (SI) algorithm. Furthermore, it illustrates how the hybrid SI technique is used in FS across various sectors. The hybrid SI technique uses applicable data from various FS methods to find feature subsets with smaller sizes and better classification performance than those found by regular FS algorithms. © 2022 IEEE.

关键词： Ant colony optimization

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Semi-Automated Classification of Arabic User Requirements into Functional and Non-Functional Requirements using NLP Tools

Semi-Automated Classification of Arabic User Requirements in...

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2021 International Conference on Information Technology, ICIT 2021

作者： Shehadeh, Karmel Arman, Nabil Khamayseh, Faisal Palestine Polytechnic University Deanship of Graduate Studies/Master's of Informatics Program Hebron Palestine Palestine Polytechnic University Department of Computer Science and Information Technology Hebron Palestine

ISBN: (纸本)9781665428705

Functional and non-functional requirements are equally important in software engineering. Both of them are mixed together within the same software requirement document. Usually, they are expressed in natural languages. So, a lot of human effort is required to classify them. Software requirements classification is a challenging task. Requirements classification can help developers to deliver quality software that meets users' expectations completely. In this paper, we present a Semi-Automated classification approach of Arabic functional and non-functional requirements using a natural language processing (NLP) tool. We propose a set of heuristics based on basic constructs of Arabic sentences in order to extract information from Arabic software requirements to classify the requirements into functional and non-functional requirements. This research aims to help software engineers by reducing the cost and time required in performing manual classification of software requirements. © 2021 IEEE.

关键词： Requirements engineering

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Early Detection and Classification of Melanoma Based on Android MobileNet V2 Convolutional Neural Network

Early Detection and Classification of Melanoma Based on Andr...

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International Seminar on Application for Technology of Information and Communication (ISemantic)

作者： Jasmine Iswarini Dyah Prabandari Christy Atika Sari Eko Hari Rachmawanto Candra Irawan Bilal R. Altamer Mohamed Ayad Alkhafaji Study Program in Informatics Engineering University of Dian Nuswantoro Semarang Indonesia Study Program in Information Systems University of Dian Nuswantoro Semarang Indonesia Mosul University Presidency University of Mosul Mosul Iraq Department of Computer Science National University of Science and Technology DhiQar Iraq

Melanoma is a malignant form of cancer that affects the skin and has a particularly high mortality rate, so it requires early detection to increase the level of safety for users. Diagnosis and detection of skin cancer are usually done through manual screening and visual inspection. This process requires a long time, has high complexity, is subjective, and is prone to errors. CNN is one of the algorithms with advantages in accurate classification. In this research, early detection and classification of melanoma cancer were carried out based on two classes, namely benign and malignant using the Convolutional Neural Network method. Our proposed method yields an accuracy of 81.11% for the validation data. The accuracy results obtained can be improved by using more datasets and increasing the number of layers used. This study uses the CNN method using MobileNet V2 architecture to detect melanoma skin cancer. The class used is benign and malignant.

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New Energy-Efficient 3-2 and 4-2 Approximate Adder Compressors Topologies

New Energy-Efficient 3-2 and 4-2 Approximate Adder Compresso...

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IEEE International Conference on Electronics, Circuits and Systems (ICECS)

作者： Rodrigo Lopes Leonardo Antonietti Morgana M. A. Rosa Eduardo Costa Rafael Soares Sergio Bampi Graduate Program on Computing Federal University of Pelotas (UFPel) Pelotas Brazil Graduate Program on Electronic Engineering and Computing Catholic University of Pelotas (UCPel) Pelotas Brazil PPGC & PGMICRO - Informatics Institute Federal University of Rio Grande do Sul (UFRGS) Porto Alegre Brazil

Addition units are present across many computational kernels inherent in various error-tolerant applications, including machine learning, signal, image, and video processing. Notably, adder compressors are the target when high speed and low power are the main design concerns. This work introduces energy-efficient structures of 3-2 approximate adder compressors (Ax3-2) and three distinct versions of 4-2 approximate adder compressors (Ax4-2). We compared our proposed Ax3-2 and Ax4-2 compressors with state-of-the-art energy-efficient approximate adder compressors (AxACs). Both Ax3-2 and Ax4-2 models passed through rigorous tests as standalone units. Furthermore, we integrated the Ax4-2 models into an essential application kernel appearing in video coding, i.e., the Sum Squared Differences (SSD) video accelerator. We introduce Ax3-2 and Ax4-2 that yield a new Pareto front concerning both energy-quality and area-quality trade-offs, thereby demonstrating a marked improvement over the prevailing state-of-the-art energy-efficient AxACs.

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Improvement of Confidential Messages Secure Routing over Paths with Intersection in Cyber Resilient Networks 28

Improvement of Confidential Messages Secure Routing over Pat...

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28th International Conference on Information, Communication and Automation Technologies, ICAT 2022

作者： Lemeshko, Oleksandr Yeremenko, Oleksandra Mersni, Amal Gazda, Juraj Kharkiv National University of Radio Electronics V.V. Popovskyy Department of Infocommunication Engineering Kharkiv Ukraine International University of Sarajevo Department of Engineering Computer Sciences and Engineering Program Sarajevo Bosnia and Herzegovina Technical University of Kosice Department of Computers and Informatics Kosice Slovakia

ISBN: (纸本)9781665466929

The paper presents an improved method of confidential messages secure routing over intersecting paths in cyber resilient networks. It allows making fuller use of the available network resources. Within the method, the level of network security of routes, networks, and confidential messages, in general, was assessed due to the compromise probability of the network links. In turn, the message compromise probability is calculated by the formula of total probability, considering the level of network security of bridges in the network structure without prior calculation of disjoint paths set. According to the numerical study results of the method application, the most significant gain in terms of the message compromise probability has been obtained at a relatively low level of cyber threats in the network. The secure routing method was implemented and presented by software prototypes of secure routing protocols that can form the basis of advanced routing protocols supporting network security metrics. © 2022 IEEE.

关键词： Probability

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Forecasting Raw Material Inventory Using the Single Moving Average and Supplier Selection Using the Analytical Hierarchy Process

Forecasting Raw Material Inventory Using the Single Moving A...

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2021 International Conference on Artificial Intelligence and Mechatronics Systems, AIMS 2021

作者： Sinaga, Ardiles Astuty, Eriana School of Computer Science Bina Nusantara University Informatics Department Bandung Indonesia BINUS Business School Undergraduate Program Bina Nusantara University Entrepreneurship Department Bandung Indonesia

ISBN: (纸本)9781665424820

This study aims to help companies to be able to estimate the procurement of raw materials for production, not having stock of raw materials in the warehouse, and determine which suppliers can send goods quickly with affordable prices and good quality. Thus, the company is not optimal in the procurement of raw materials and the selection of appropriate raw material suppliers. In addition, the research aims to optimize the procurement of raw materials that can be used in forecasting in controlling raw materials and decision support systems for the selection of raw material suppliers. The method used to estimate the availability of raw materials is the Simple Moving Average and Analytical Hierarchy Process (AHP) method to determine suppliers. The results of this study indicate that the average percentage of forecast error is 4.17%. Whereas for supplier selection, the AHP method that is used can recommend which suppliers are eligible to be chosen based on predetermined criteria, then the results are sorted by highest ranking. It is expected that the results of this study can be used as a reference for further development, for example by creating information systems that can help companies. © 2021 IEEE.

关键词： Forecasting

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5S towards sustainable competitive advantage in franchise retail business 2

5S towards sustainable competitive advantage in franchise re...

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2nd International Conference on Biospheric Harmony Advanced Research, ICOBAR 2020

作者： Astuty, E. Sinaga, A. Entrepreneurship Department BINUS Business School Undergraduate Program Bina Nusantara University Bandung Indonesia Informatics Department School of Computer Science Bina Nusantara University Bandung Indonesia

This study aims to find empirical evidence in filling the "how-to"gap of a service company in order to have a sustainable competitive advantage by adopting lean system or known as a workplace organization. This study surveyed 150 customers from three largest franchise minimarts in Bandung City in order to determine the characteristics and interrelations that occur in the three research objects observed, namely 5S or workplace organization, service's waste, and service quality. The method used is descriptive method and structural equation modeling based on the least squares method or PLS-SEM. The statistical tools used are SPSS20 and SmartPLS3. The results reveals that the three largest franchise minimarts in Bandung City, had a high level of service quality, low service's waste, and well-managed workplace organization. The relationship between them shows that the three franchise minimarts continue to survive and continue to grow after operating for more than 3 decades, because they implemented a workplace organization (5S, seiri-seiton-seiso-seiketsu-shitsuke), so that this can reduce the occurrence of service's waste by 82.4 %, where even this has an impact on increasing service quality by 27.9% with a very high model strength of 73.5%. © Published under licence by IOP Publishing Ltd.

关键词： Quality of service

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Emergency Position Reporting System for Border and Inland Areas with APRS Communication Mode

Emergency Position Reporting System for Border and Inland Ar...

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IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES)

作者： Dananjaya Ariateja Ria Aprilliyani Herwin Melyanus Hutapea Edy Sulistyadi Muhammad Yasir Zain Amelia Chandra Pratiwi Faculty of Defense Science and Technology Universitas Pertahanan Republik Indonesia Bogor Indonesia National Defense Development Institute Universitas Pertahanan Republik Indonesia Bogor Indonesia Faculty of Engineering Universitas Madura Informatics Study Program Madura Indonesia

ISBN: (数字)9798331542016

ISBN: (纸本)9798331542023

Border and Inland areas are often faced with communication problems due to limited infrastructure and extreme geographical conditions. This research has produced three APRS-based communication system devices in border and inland areas that can be used to report emergency positions, namely Tracker, Digipeater, and Internet Gateway (IGate). Two APRS testing scenarios were conducted, namely sending beacons from Tracker and Ground Station, and sending beacons from Tracker, Digipeater, and Ground Station. The first scenario test results recorded a maximum distance of 2.36 kilometers (straight line) for sending and receiving information. Meanwhile, the second scenario test results can send and receive information with a maximum distance of 4.21 kilometers (straight line). This result confirms that the range of sending information signals using the digipeater device can expand the range of receiving information up to two times. Based on these results, the second scenario between Tracker, Digipeater, and Ground Station is more effectively used to increase communication coverage in border and inland areas.

关键词： Meters Logic gates Aerospace electronics Internet Reliability Remote sensing Testing

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