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Feasibility study of Information Technology Investment (a case study of ODOO ERP: Project Management Module Implementation in Indonesia Based Company)

Feasibility study of Information Technology Investment (a ca...

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International Conference on ICT For Smart Society (ICISS)

作者： Fredy Jingga Raymond Kosala Suhono Harso Supangkat Benny Ranti Computer Science Department BINUS Graduate Program - Doctor of Computer Science Information Systems Department School of Information Systems Bina Nusantara University Jakarta Indonesia Computer Science Department BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta Indonesia School of Electrical Engineering and Informatics Bandung Institute of Technology Bandung Indonesia

IT Governance are one of the needs in managing Enterprise Level IT. This study shows part of the decision domain of IT Governance Help, which are IT Investment and Prioritization. The purpose of this study is to determine feasibility of implementation open source ERP system Odoo project management module that replaces current system based on operational, economic, and technical aspects. The method used are Fit / Gap Analysis and Cost Benefit model using economic impact worksheet. The analysis is done by comparing the requirement with features owned by current system and Odoo ERP system. This research resulted that Odoo ERP System is feasible in the 3 aspects, the operational feasibility Odoo reaching 72% Fit, the economic feasibility with ROI of 84%, and technical feasibility indicating the technical requirement can be fulfilled by leasing AWS server. The conclusion is the open source ERP system Odoo project management module is feasible to be applied in terms of 3 aspects that have been studied, those are operational, economic, and technical.

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An eldercare electronic health record system for predictive health assessment

An eldercare electronic health record system for predictive ...

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International Conference on e-health Networking, Applications and Services (HealthCom)

作者： Mihail Popescu George Chronis Rohan Ohol Marjorie Skubic Marilyn Rantz Health Management and Informatics Department University of Missouri Columbia MO USA CyberSense LLC USA Carolinas Medical Center Charlotte NC Electrical and Computer Engineering Department University of Missouri Columbia University of Missouri Sinclair School of Nursing

Many older adults in the US prefer to live independently for as long as they are able, despite the onset of conditions such as frailty and dementia. Sensor networks have emerged in the last decade, together with telehealth and internet based electronic health records (EHR), as a possible solution to older adult health monitoring. Many commercial solutions for EHRs, telehealth monitoring and sensor networks are available but, as far as we know, no integrated system exists. In this paper we present an integrated eldercare EHR system (IEEHR) that merges health data with sensor and telehealth (vital signs) measurements. The benefit of an EEHR system is three fold: provides physicians a wider gamut of tools for chronic disease management, reduces nursing workload and allows the development of health context aware algorithms for predictive health assessment. In this paper we present the integrated EEHR system we are developing at TigerPlace, an assisted living community in Columbia, Missouri. Several examples of possible applications are also presented.

关键词： Medical services Monitoring Biomedical monitoring Wireless sensor networks Prediction algorithms Educational institutions Blood pressure

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Prediction of influenza a virus infections in humans using an artificial neural network learning approach

arXiv

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arXiv 2021年

作者： Chrysostomou, Charalambos Partaourides, Harris Seker, Huseyin Computation-based Science and Technology Research Center The Cyprus Institute 20 Konstantinou Kavafi Street Aglantzia Nicosia2121 Cyprus Department of Electrical Engineering Computer Engineering and Informatics Cyprus University of Technology 30 Archbishop Kyprianou Str. Limassol3036 Cyprus Department of Computer and Information Sciences Faculty of Engineering and Environment The University of Northumbria NE1 8ST Newcastle-upon-Tyne United Kingdom

The Influenza type A virus can be considered as one of the most severe viruses that can infect multiple species with often fatal consequences to the hosts. The Haemagglutinin (HA) gene of the virus has the potential to be a target for antiviral drug development realised through accurate identification of its sub-types and possible the targeted hosts. In this paper, to accurately predict if an Influenza type A virus has the capability to infect human hosts, by using only the HA gene, is therefore developed and tested. The predictive model follows three main steps;(i) decoding the protein sequences into numerical signals using EIIP amino acid scale, (ii) analysing these sequences by using Discrete Fourier Transform (DFT) and extracting DFTbased features, (iii) using a predictive model, based on Artificial Neural Networks and using the features generated by DFT. In this analysis, from the Influenza Research Database, 30724, 18236 and 8157 HA protein sequences were collected for Human, Avian and Swine respectively. Given this set of the proteins, the proposed method yielded 97.36% (± 0.04%), 97.26% (± 0.26%), 0.978 (± 0.004), 0.963 (± 0.005) and 0.945 (± 0.005) for the training accuracy validation accuracy, precision, recall and Mathews Correlation Coefficient (MCC) respectively, based on a 10-fold cross-validation. The classification model generated by using one of the largest dataset, if not the largest, yields promising results that could lead to early detection of such species and help develop precautionary measurements for possible human infections. © 2021, CC BY.

关键词： Proteins

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Integrating renewable energy sources using a smart household system

Integrating renewable energy sources using a smart household...

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International Conference on Environment and electrical engineering (EEEIC)

作者： Miroslav Prýmek Aleš Horák Lukáš Prokop Stanislav Mišák Masarykova univerzita Brno JihomoravskÃ½ CZ Faculty of Informatics Masaryk University Botanicka 68a Brno Czech Republic Faculty of Electrical Power Engineering and Computer Science VSB - Technical University of Ostrava Ostrava - Poruba Czech Republic

The energy independence, security and reliability of operating energy distribution systems, along with the use of renewable energy sources (RES), are the most important topics of energy-related research and developmen... 详细信息

关键词： Home appliances Optimization Control systems Wind speed Power demand Renewable energy sources

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Improved three-phase high-quality rectifier with line-commutated switches

Improved three-phase high-quality rectifier with line-commut...

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Annual IEEE Conference on Power Electronics Specialists (PESC)

作者： J.A.G. Marafao J.A. Pomilio G. Spiazzi Sch. of Electr. & Comput. Eng. Univ. of Campinas Brazil School of Electrical and Computer Engineering University of Campinas Campinas BRAZIL Dept. of Electronics and Informatics University of Padova (Italy) Padova ITALY

The paper presents a three-phase diode rectifier with an add-on simple cell with line-frequency commutated AC switches that is able to greatly improve both power factor and output voltage regulation of rectifiers with passive L-C filters. The boost action introduced by the commutation cell allows for a complete compensation of the voltage drop across the input inductors, so that output voltage regulation can be maintained from no-load to full-load. Moreover, as compared to other line-frequency commutated rectifiers, the proposed circuit allows compliance with the low-frequency harmonic limits defined in the technical report IEC 1000-3-4 for any power range. High-efficiency and minimum EMI are obtained due to the low-frequency commutations. A converter prototype was built and tested. The results confirm the theoretical analysis.

关键词： Rectifiers Voltage control Power harmonic filters Diodes Switches Reactive power Passive filters Inductors Circuits Power system harmonics

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Lapped Tight Frame Transforms

Lapped Tight Frame Transforms

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Amina Chebira Jelena Kovacevic Department of Biomedical Engineering and Center for Bioimage Informatics Carnegie Mellon University Pittsburgh PA USA Dept. of Biomedical Eng. and Center for Bioimage Informatics Dept. of Electrical and Computer Eng. Carnegie Mellon University Pittsburgh PA. Email: jelenak@cmu.edu

We propose a new class of equal-norm tight frames termed lapped tight frame transforms (LTFTs). These can be seen as a redundant counterpart to bases known as lapped orthogonal transforms (LOTs) introduced by Malvar and Cassereau, as well as an infinite-dimensional counterpart to harmonic tight frames (HTFs). To construct LTFTs, we seed them from LOTs and show that, in a specific case, the process preserves the equal norm. As both their basis counterpart LOTs as well as their finite-dimensional one HTFs, LTFTs possess many desirable properties, such as equal norm and efficient implementation.

关键词： Filter bank Power harmonic filters Signal processing Signal representations Robustness Biomedical informatics Biomedical computing Wavelet transforms Discrete cosine transforms Channel bank filters

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Chaotic American zebra search optimization algorithm for benchmark challenges

Chaotic American zebra search optimization algorithm for ben...

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International Conference on Electronics, computers and Artificial Intelligence (ECAI)

作者： Vikram Kumar Kamboj Ardhala Bala Krishna Chaman Verma Maria Simona Raboaca Constantin Filote Maria Stepanova Schulich School of Engineering University of Calgary Alberta Canada Dept. of Electrcical and Electronics Engineering Malla Reddy Engineering College for Women Hyderabad India Dept. of Media and Edu. Informatics Faculty of Informatics Eötvös Loránd University Budapest Hungary ICSI Energy Department National Research and Development Institute for Cryogenics and Isotopic Technologies Ramnicu Valcea Romania Faculty of Electrical Engineering and Computer Science Stefan cel Mare University of Suceava Suceava Romania Engineering Business and Management Faculty Bauman Moscow State Technical University Russia

In this research, we presented a modification to the recently developed swarm premised American zebra search optimization algorithm (AZOA) using chaos. The particular Singer mapping was proposed by the so-called chaotic AZOA and was already known to perform better in optimization. Twelve uni, multi modal benchmark functions, three-bar truss and ten bar truss optimal structural designs were tested. The chaotic AZOA with Singer map would perform more effectively, more consistently, and quicker than the classical AZOA and other recent metaheuristics in optimization, according to the results, which also supported the viability of the modifications. It was discussed if the chaotic AZAO could be optimized with the original AZOA, and the chaotic AZOA was suggested for use in applications for actual engineering challenges.

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Channel pruning via automatic structure search

arXiv

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arXiv 2020年

作者： Lin, Mingbao Ji, Rongrong Zhang, Yuxin Zhang, Baochang Wu, Yongjian Tian, Yonghong Media Analytics and Computing Laboratory Department of Artificial Intelligence School of Informatics Xiamen University China School of Automation Science and Electrical Engineering Beihang University China Co. Ltd China School of Electronics Engineering and Computer Science Peking University Beijing China Peng Cheng Laboratory Shenzhen China

Channel pruning is among the predominant approaches to compress deep neural networks. To this end, most existing pruning methods focus on selecting channels (filters) by importance/ optimization or regularization based on ruleof- thumb designs, which defects in sub-optimal pruning. In this paper, we propose a new channel pruning method based on artificial bee colony algorithm (ABC), dubbed as ABCPruner, which aims to efficiently find optimal pruned structure, i.e., channel number in each layer, rather than selecting "important" channels as previous works did. To solve the intractably huge combinations of pruned structure for deep networks, we first propose to shrink the combinations where the preserved channels are limited to a specific space, thus the combinations of pruned structure can be significantly reduced. And then, we formulate the search of optimal pruned structure as an optimization problem and integrate the ABC algorithm to solve it in an automatic manner to lessen human interference. ABCPruner has been demonstrated to be more effective, which also enables the fine-tuning to be conducted efficiently in an end-to-end manner. Experiments on CIFAR-10 show that ABCPruner reduces 73.68% of FLOPs and 88.68% of parameters with even 0.06% accuracy improvement for VGGNet-16. On ILSVRC-2012, it achieves a reduction of 62.87% FLOPs and removes 60.01% of parameters with negligible accuracy cost for ResNet-152. The source codes can be available at https://***/lmbxmu/ABCPruner. Copyright © 2020, The Authors. All rights reserved.

关键词： Deep neural networks

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Frame Recovery Method for Screen to Camera Communication Using CMOS Sensor Camera

Frame Recovery Method for Screen to Camera Communication Usi...

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Midwest Symposium on Circuits and Systems (MWSCAS)

作者： Yuho Tanaka Kazunori Uruma Ryohei Sasaki Norisato Suga Tomohiro Takahashi Department of Electrical and Electronic Engineering Tokyo Denki University Tokyo Japan Faculty of Informatics Kogakuin University Tokyo Japan Faculty of Computer and Information Science Hosei University Tokyo Faculty of Engineering Tokyo University of Science Tokyo Japan School of Information Science and Technology and TRIC Tokai University Kanagawa Japan

ISBN: (数字)9781728180588

ISBN: (纸本)9781728180595

This paper proposes a new frame recovery method for screen to camera communication (SCC). SCC is a signal transmission system using a display as transmitter and a camera as receiver. In case of using a CMOS sensor camera, a captured video is distorted by rolling shutter effect which causes bit errors. Against the rolling shutter distortion, we propose a model of distorted video frame and a frame recovery method. In order to recover the frame, we insert known symbols to a transmitted frame. The frame is recovered by solving an optimization problem using the inserted known symbols. To evaluate the proposed method performance, we conduct an experiment using commercial devices. The result shows that the proposed method can accurately recover the transmitted frame and improve bit error rate compared to a simply binarization method and an adaptive binarization method.

关键词： Cameras Bit error rate Estimation Optimization Radio frequency Information science Current measurement

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Extraction of Gene Regulatory Relation Using BioBERT

Extraction of Gene Regulatory Relation Using BioBERT

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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

作者： Clement Essien Fei He Mark Hannink Mihail Popescu Dong Xu Department of Electrical Engineering and Computer Science University of Missouri Columbia MO USA School of Information Science and Technology Northeast Normal University Changchun China Department of Biochemistry Bond Life Sciences Center University of Missouri Columbia MO USA Department of Health Management and Informatics University of Missouri Columbia MO USA Department of Electrical Engineering and Computer Science Bond Life Sciences Center University of Missouri Columbia MO USA

ISBN: (数字)9781665468190

ISBN: (纸本)9781665468206

Relation Extraction (RE) is a critical task typically carried out after Named Entity recognition for identifying gene-gene association from scientific publication. Current state-of the-art tools have limited capacity as most of them only extract entity relations from abstract texts. The retrieved gene-gene relations typically do not cover gene regulatory relations. There still exists a lot of room for improvement. In this work, we propose GeREx, a transformer based RE tool for identifying gene regulatory relations from full texts by incorporating labeling from pathway figures. GeREx achieved an F1-Score of 83.45% when evaluated on an independent test dataset.

关键词： Biological system modeling Transformers Labeling Task analysis Bioinformatics

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