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arXiv 2021年

作者： Marcelino, Carolina Gil Leite, G.M.C. Delgado, C.A.D.M. De Oliveira, L.B. Wanner, E.F. Jiménez-Fernández, S. Salcedo-Sanz, S. Department of Signal Processing and Communications Universidad de Alcalá Spain Institute of Computing Federal University of Rio de Janeiro Brazil Post-Graduate Program in Systems Engineering and Computer Science Federal University of Rio de Janeiro Brazil Computing Department Federal Center of Technology Education of Minas Gerais Brazil

This paper tackles the short-term hydro-power unit commitment problem in a multi-reservoir system - a cascade-based operation scenario. For this, we propose a new mathematical modelling in which the goal is to maximize the total energy production of the hydro-power plant in a sub-daily operation, and, simultaneously, to maximize the total water content (volume) of reservoirs. For solving the problem, we discuss the Multi-objective Evolutionary Swarm Hybridization (MESH) algorithm, a recently proposed multiobjective swarm intelligence-based optimization method which has obtained very competitive results when compared to existing evolutionary algorithms in specific applications. The MESH approach has been applied to find the optimal water discharge and the power produced at the maximum reservoir volume for all possible combinations of turbines in a hydro-power plant. The performance of MESH has been compared with that of well-known evolutionary approaches such as NSGA-II, NSGA-III, SPEA2, and MOEA/D in a realistic problem considering data from a hydro-power energy system with two cascaded hydro-power plants in Brazil. Results indicate that MESH showed a superior performance than alternative multi-objective approaches in terms of efficiency and accuracy, providing a profit of $412,500 per month in a projection analysis carried out. © 2021, CC BY-NC-ND.

关键词： Multiobjective optimization

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Decision variable learning 8

Decision variable learning

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8th Brazilian Conference on Intelligent Systems, BRACIS 2019

作者： Santos Almeida, Matheus Alves De Oliveira, Joel Britto, Andre Computation Departament Federal University of Sergipe São Cristovão Sergipe Brazil Post-Graduate Program on Computer Science Federal University of Sergipe São Cristovão Sergipe Brazil

ISBN: (纸本)9781728142531

Many alternatives to traditional Multi-Objective Optimization Algorithms are emerging due to the increasing number of Multi-Objective Problems with a high degree of complexity, such as Many-Objective Problems. Among these alternatives, the methods known as surrogate stand out. These methods seek to construct new models for the objective functions based on the data obtained previously from the actual objective functions. The input of these models are a set of vectors in decision variable space and the output are the values of the objective functions. In this work, the Decision Variable Learning (DVL) algorithm is proposed, which presents an inverse idea to traditional surrogates. In the DVL, machine learning models will be used to learn the behavior of the decision variables in Many-Objective Optimization Problems. In this context, we have enough information to learn from the objective vectors, to predict near optimal solution in decision variable space. DVL algorithm will be evaluated using benchmark problems and its results will be compared with the NSGA-III algorithm. © 2019 IEEE.

关键词： Multiobjective optimization

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vSDNEmul: A software-defined network emulator based on container virtualization

arXiv

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arXiv 2019年

作者： Farias, Fernando N.N. Antônio de, O. da Costa, Leonardo B. Pinheiro, Billy A. Abelém, Antônio J.G. Post-Graduate Program in Computer Science Federal Unversity of Pará - UFPA Belém Brazil

The main issue related to Software-Defined Network emulators is how to replicate real behavior in experiments. Mininet and others SDN emulators have an architecture that limits both the scope of experiments and the fidelity of networking tests. Consequently, the serialization, contention, and load of background processes may produce delays that compromise the operation of events such as transmitting a packet or completing a computation, possibly invalidating the performance evaluation of a network emulation. To address these problems, this paper presents vSDNEmul, a network emulator based on Docker container virtualization. Different from Mininet, vSDNEmul isolates each node in a container and interconnects the nodes through virtual or tunnel links. By using containers, vSDNEmul allows autonomous and flexible creation of independent network elements, resulting in more realistic emulations. This paper reports performance evaluations comparing vSDNEmul and Mininet. The results obtained with the vSDNEmul emulator are more realistic and present higher accuracy. Copyright © 2019, The Authors. All rights reserved.

关键词： Software defined networking

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Analysis of delay factors on drilling projects on PT China Oilfields Services Limited

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IOP Conference Series: Earth and Environmental science 2021年第1期729卷

作者： W Sardjono W G Perdana R Ansori D N Utama Information Systems Management Department BINUS Graduate Program - Master of Information Systems Management BINA NUSANTARA University Jakarta Indonesia 11480 Post Graduate Program School of Environmental Science University of Indonesia Jakarta Indonesia Graduate Program Master of Business Administration Faculty of Economic and Business University of Gadjahmada Yogyakarta Indonesia Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480

In carrying out drilling projects at PT China Oilfields Services Limited ( COSL) Indo, especially Project 1 to Project 4, there were a mismatch between the initial plan of the project and the actualisation in the field because there were inhibiting factors in implementing the project. The purpose of the research was to look the factors that caused for the additional time in well drilling project at PT. COSL Indo, to build a relationship model of these factors, and formulate a strategy for the company to be able to overcome the occurrence of additional time in the future project. Data analysis was conducted by using a factor analysis method and the location of the research was carried out in just one company with 102 valid respondents. The results of the research indicate that there are four factors that influence the time gap, namely Project Management Activities, Risk Analysis and Procurement, Manage Stairs, and Project Planning Development. By knowing the causes of the delay, companies can find the best solutions for future learning and the impact on environmental, social and economic problems can also be anticipated so that sustainable development occurs in the context of petroleum management.

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MiR34 contributes to spinal muscular atrophy and AAV9-mediated delivery of MiR34a ameliorates the motor deficits in SMA mice

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Molecular therapy. Nucleic acids 2023年 32卷 144-160页

作者： Tai-Heng Chen Shih-Hsin Chang Yu-Fu Wu Ya-Ping Yen Fang-Yu Hsu Yen-Chung Chen Yang Ming Ho-Chiang Hsu Yi-Ching Su Sheng-Tang Wong Jui-Hung Hung Shih-Hwa Chiou Yuh-Jyh Jong Jun-An Chen PhD Program in Translational Medicine Kaohsiung Medical University Kaohsiung 80708 and Academia Sinica Taipei 11529 Taiwan. Institute of Molecular Biology Academia Sinica Taipei 11529 Taiwan. Department of Pediatrics Kaohsiung Medical University Kaohsiung 80708 Taiwan. School of Post-Baccalaureate Medicine Kaohsiung Medical University Kaohsiung 80708 Taiwan. Neuroscience Program of Academia Sinica Academia Sinica Taipei 11529 Taiwan. Department of Computer Science National Yang Ming Chiao Tung University Hsinchu 30093 Taiwan. Institute of Pharmacology School of Medicine National Yang Ming Chiao Tung University Taipei 11221 Taiwan. Innovative Cellular Therapy Center Department of Medical Research Taipei Veterans General Hospital Taipei 11217 Taiwan. Department of Laboratory Medicine Kaohsiung Medical University Kaohsiung 80708 Taiwan. Translational Research Center of Neuromuscular Diseases Kaohsiung Medical University Hospital Kaohsiung Medical University Kaohsiung 80708 Taiwan. Graduate Institute of Clinical Medicine College of Medicine Kaohsiung Medical University Kaohsiung 80708 Taiwan. Drug Development and Value Creation Research Center Kaohsiung Medical University Kaohsiung 80708 Taiwan. Department of Biological Science and Technology National Yang Ming Chiao Tung University Hsinchu 30093 Taiwan.

Spinal muscular atrophy (SMA) is a neurodegenerative disease characterized by the selective loss of spinal motor neurons (MNs) and concomitant muscle weakness. Mutation of is known to cause SMA, and restoring SMN protein levels via antisense oligonucleotide treatment is effective for ameliorating symptoms. However, this approach is hindered by exorbitant costs, invasive procedures, and poor treatment responses of some patients. Here, we seek to circumvent these hurdles by identifying reliable biomarkers that could predict treatment efficacy. We uncovered that MiR34 exhibits consistent downregulation during SMA progression in both human and rodent contexts. Importantly, family-knockout mice display axon swelling and reduced neuromuscular junction (NMJ) endplates, recapitulating SMA pathology. Introducing MiR34a via scAAV9 improved the motor ability of SMNΔ7 mice, possibly by restoring NMJ endplate size. Finally, we observed a consistent decreasing trend in MiR34 family expression in the cerebrospinal fluid (CSF) of type I SMA patients during the loading phase of nusinersen treatment. Baseline CSF MiR34 levels before nusinersen injection proved predictive of patient motor skills 1 year later. Thus, we propose that MiR34 may serve as a biomarker of SMA since it is associated with the pathology and can help evaluate the therapeutic effects of nusinersen.

关键词： ASO MT: Non-coding RNAs MiR34 SMA biomarker microRNA nusinersen spinal muscular atrophy

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Semantic analysis and complex networks as conjugated techniques supporting decision making 20

Semantic analysis and complex networks as conjugated techniq...

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20th International Conference on Enterprise Information Systems, ICEIS 2018

作者： Lancellotta, Pedro Ivo Ströele, Victor Braga, Regina David, José Maria N. Campos, Fernanda Post-Graduate Program in Computer Science Federal University of Juiz de Fora Juiz de Fora Brazil

ISBN: (纸本)9789897582981

The expansion scenario in information technology has led to the need for the analysis of huge amounts of data to manage information for quick decision making. This paper presents an architecture for data visualization that uses semantic and structural interpretation as conjugated techniques for data analysis in different domains, through an interface which supports visualization strategies. A case study was carried out with a specialist in real-world agricultural context using data from dairy cattle to answer our research question. The results demonstrate the feasibility of the proposal. © 2018 by SCITEPRESS - science and Technology Publications, Lda.

关键词： Decision making

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Study of runway crosswind and tailwind potential for airport sustainability: A study of Soekarno Hatta airport, Cengkareng, Indonesia

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IOP Conference Series: Earth and Environmental science 2021年第1期729卷

作者： W Sardjono Zulkarnain H Kusnoputranto TEB Soesilo DN Utama J Sudirwan Information Systems Management Department BINUS Graduate Program - Master of Information Systems Management BINA NUSANTARA University Jakarta Indonesia 11480 Post Graduate Program School of Environmental Science University of Indonesia Jakarta Indonesia Faculty of Public Health University of Infonesia Jakarta Indonesia Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480 School of Information Systems Department BINUS Undergraduate Program Bina Nusantara University Jakarta Indonesia 11480

Airport runway designs must consider wind climatology to reduce the potential for crosswind and tailwind events that can cause accidents and aircraft delays. The large potential of crosswind and tailwind on a runway at the airport is very detrimental to aircraft passengers and airlines. Therefore, it is necessary to know the potential of crosswind and tailwind on the runway of Soekarno Hatta Airport and find the right parameters for the approximate direction and speed of the wind on the airport runway. Analysis was carried out using the direction and wind speed data from the Soekarno Hatta meteorological station in 2007-2017 to determine the potential for crosswind and tailwind on the runway of Soekarno Hatta airport and run a Weather Research and Forecasting (WRF) weather model to determine the parameterization of the right weather model for wind forecast at Soekarno Hatta airport. The highest maximum crosswind component in the 2007-2017 period occurred in August 30.53 knots, while the highest maximum tailwind of 25 knots occurred in January for a 250-degree runway and 24 knots occurred in August for a 070-degree runway. The potential for crosswind and tailwind is different every month. The scheme produces forecasts of wind direction and speed with a strong level of correlation with observations of wind direction and speed from the Soekarno Hatta meteorological station, the correlation value is 0.61. The most significant social impact of plane delays is time loss for passengers. While the economic impact on one of the crosswind events at Soekarno Hatta airport was an economic loss for one airline of US $ 43,392.

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Implementation of Augmented Reality in Pretend Play Therapy for Children with Autism Spectrum Disorder 3

Implementation of Augmented Reality in Pretend Play Therapy ...

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3rd International Conference on Computing and Applied Informatics 2018, ICCAI 2018

作者： Syahputra, M.F. Angkasih, A.P. Purnamawati, S. Andayani, U. Abdullah, D. Sriadhi, S. Iskandar, A. Rosida, T.M. Fitriany, J. Sari, I.N. Utama, M.D. Nanuru, R.F. Department of Information Technology Faculty of Computer Science and Information Technology Universitas Sumatera Utara Medan Indonesia Department of Informatics Universitas Malikussaleh Aceh Utara Indonesia Department of Electrical Engineering Universitas Negeri Medan Indonesia Informatics Engineering STMIK AKBA Makassar Indonesia Graduate Program in Scientific Psychology Universitas Kristen Maranatha Indonesia Department of Pediatric Universitas Malikussaleh Aceh Utara Indonesia Departement of Social Science Education Program Post Graduate Program Universitas Kanjuruhan Malang Malang Indonesia Faculty of Social and Political Science Universitas Kristen Indonesia Maluku Indonesia Universitas Kristen Indonesia Maluku Ambon Indonesia

Autism Spectrum Disorder is a pervasive developmental disorder that will affect children in terms of interpersonal communication, social interaction, and imaginative levels in play. Many therapies to help the motor neuron performance is one of them Pretend Play. Pretend Play is a therapy that invites children in playing to demonstrate something else and tell how to use objects that are considered in the child's imagination. However, in the era of highly developed technology, many fields have used the Augmented Reality method as a visualization of various aspects. With this method researchers will present the therapeutic visualization of the block to 3D transportation tool that is useful for strengthening motor nerves and visual strength of the child. The system can run well during marker detection, marker movement, and 3D object display with the accuracy of precision angle and distance between virtual world with real world reach 100% with angle 0 at distance 31 cm and the maximum distance from the marker is 46 cm and the maximum angle is 30. © 2019 Published under licence by IOP Publishing Ltd.

关键词： Augmented reality

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Industrial revolution 4.0 on big data adoption factors on social media users and popularity brands

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Journal of Physics: Conference Series 2021年第1期1839卷

作者： W Sardjono G Rama Putra E Selviyanti A Cholidin G Salim Information Systems Management Department BINUS Graduate Program – Master of Information Systems Management Bina Nusantara University Jakarta Indonesia 11480 Computer Science Study Program Faculty of Mathematics & Natural Sciences Pakuan University Bogor Indonesia Health Department Politeknik Negeri Jember Jember Jawa Timur Indonesia 68124 Law Studi program Faculty of Law University of Muhammadiyah Jakarta Indonesia Post Graduate Program Faculty of Economic Science University of Trisakti Jakarta Indonesia

The purpose of writing this paper is to look at how factors of big data adoption affect the users of social media and brand popularity. The method used in the writing of this paper is by using path analysis and also by doing literature study to find reference material. The results of the analysis indicate that there is influence of big data adoption factors that affect the popularity of the brand. With this research, we get big data model that influence the brand popularity.

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Rubber Plant Disease Diagnostic System Using Technique for Order Preference by Similarity to Ideal Solution

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Procedia computer science 2019年 161卷 484-492页

作者： Ramadiani M. Syahrir Ramadhani Muhammad Labib Jundillah Azainil Faculty of Computer Science and Information Technology Mulawarman University Samrinda Indonesia Magister Program of Information System School of Post Graduate Studies Diponegoro University Semarang Indonesia Faculty of Teacher Training and Education Mulawarman University Samarinda Indonesia

Data from the Plantation Office of East Kalimantan Province, the area of rubber plantations has decreased every year. One of the factors that make productivity of rubber plants low is the presence of pests and diseases. The time limit of an expert is an obstacle in identifying rubber plantations. To overcome this problem, we need an expert system that can identify rubber plant diseases such as an expert. This system was developed to be able to provide solutions in diagnosing rubber plant diseases such as White Root Fungus (Rigidoporus micropus), Upas Mushroom Disease (Corticium salmonicolor), Antraknosa Disease (Colletorichum gloeosporoides), Skin Necrosis (Fusarium sp.), And Cancer Lines (Phytoptora palmivore). This study uses the TOPSIS method. There are four variables used as assessment criteria in this study, namely: the level of damage to the root, the level of damage to the stem, the level of damage to the leaves and the level of damage to the tapping path or the intensity of tapping, with preference values from 0 to 100; none, Very Light Intensity (1), Mild Intensity (3), Medium Intensity (5), Weight Intensity (7) and Very Heavy Intensity (9). Each weight value C1= 0.3; C2= 0.22; C3= 0.28; C4= 0.2. The results of this study compare manual calculations and calculations on the system obtained 99.99% accuracy. This system is expected to help facilitate rubber farmers in identifying diseases and can help experts.

关键词： Rubber Plant Disease East Kalimantan TOPSIS Expert System

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