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Low Bit Rate Video Coding using VVC and DCVC-DC for River Surveillance

Low Bit Rate Video Coding using VVC and DCVC-DC for River Su...

引用

International Technical Conference o Circuits/systems, computers and Communications (ITC-CSCC)

作者： Yuki Morimoto Takafumi Katayama Tian Song Takashi Shimamoto Department of Science and Engineering Tokushima University Tokushima City Japan Computer Systems Engineering Institute of Technology and Science Graduate School of Engineering Tokushima University Tokushima City Japan

ISBN: (数字)9798350379051

ISBN: (纸本)9798350379068

In this work, a video communication system to encode river video at a low bit rate is proposed. In the proposed system, a semantic segmantation is performed to organize the coding priority of each segment. Then, by setting an appropriate Quantization Parameter (QP) map for each region with VVenC which is the latest video codec of VVC, a low bitrate coding is achieved. We also compare the encoding performance with the latest Neural Video Codec (NVC), namely, DCVC-DC. The simulation results show that the proposed method with VVenC achieves ultra-low bit coding. Although the current version of DCVC-DC could not achieve ultra-low bit coding, the coding efficiency shows higher performance than that using VVenC in a wide range of bit rate.

关键词： Video coding computers Quantization (signal) Surveillance Simulation Bit rate Semantics

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Bitrate Control for VVC based on RD-Cost Estimation with YOLOv8

Bitrate Control for VVC based on RD-Cost Estimation with YOL...

引用

IEEE Global Conference on Consumer Electronics (GCCE)

作者： Kaito Goto Takafumi Katayama Tian Song Takashi Shimamoto Department of Science and Engineering Tokushima University Tokushima City Japan Computer Systems Engineering Institute of Technology and Science Graduate School of Engineering Tokushima University Tokushima City Japan

ISBN: (数字)9798350355079

ISBN: (纸本)9798350355086

In recent applications, a modern object recognition model is available together with the video encoder. In this work, an adaptive bitrate control algorithm is proposed using a You Only Look Once v8 (YOLOv8) model for Versatile Video Coding (VVC). YOLOv8 object detection network, which is also suitable for real-time processing, is used as an algorithm to detect salient regions before encoding. The proposed algorithm estimates Rate-Distortion Cost (RD-Cost) of Coding Tree Units (CTUs) with YOLOv8 and selects the Quantization Parameter (QP) based on the object detection result. Simulation results show that the proposed algorithm achieves a maximum bitrate reduction rate of 7.76% and improves coding efficiency while minimizing image quality degradation.

关键词： Image quality Degradation YOLO Video coding Adaptation models Image coding Bit rate Estimation Encoding Vectors

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A Design of Childhood Stunting Assessment Feature with Agile UX Approach 8

A Design of Childhood Stunting Assessment Feature with Agile...

引用

8th International HCI and UX Conference in Indonesia, CHIuXiD 2022

作者： Rahutomo, Reza Perbangsa, Anzaludin Samsinga Asadi, Faisal Nirwantono, Rudi Pardamean, Bens Bina Nusantara University School of Information Systems Information Systems Department Jakarta11480 Indonesia Bina Nusantara University Bioinformatics and Data Science Research Center Jakarta11480 Indonesia Bina Nusantara University BINUS Graduate Program-Master of Computer Science Computer Science Department Jakarta11480 Indonesia

ISBN: (纸本)9781665476645

multidisciplinary collaboration between public health, system engineering, and UX is able to generate a solution in healthcare problem like stunting. The principle of Agile UX gathers requirements to generate an application design. Currently, various website and mobile applications are available to be utilized for stunting research. StuntingDB is one of many web-based applications that specialized in stunting data management. The application required several types of users to operate hierarchically. This research focused on Public Health Officers' workflow that require a solution to in the form of assessment module for stunting DBMS by using Agile UX principle. The method collaborates agile team and UX team to solve Public Health Officer's difficulty in changing stunting status at pre-saved child patient's profile. Collaboration of both agile team and UX team successfully proposed an application design that system design. © 2022 IEEE.

关键词： Websites

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Efficient Deraining Model Using Transformer and Kernel Basis Attention for UAVs

Efficient Deraining Model Using Transformer and Kernel Basis...

引用

International Technical Conference o Circuits/systems, computers and Communications (ITC-CSCC)

作者： Yuto Tomida Takafumi Katayama Tian Song Takashi Shimamoto Department of Science and Engineering Tokushima University Tokushima City Japan Computer Systems Engineering Institute of Technology and Science Graduate School of Engineering Tokushima University Tokushima City Japan

ISBN: (数字)9798350379051

ISBN: (纸本)9798350379068

Unmanned aerial vehicles (UAVs) have remarkably advanced and expected to be useful in a variety of fields. However, there is a serious problem of video quality degradation due to rainy weather, regardless of whether the UAVs are flying autonomously. In this work, we propose a highly accurate method to remove the effect of rain streaks from images captured by UAVs in rainy conditions. This approach uses the multi-axis feature fusion (MFF) block including the kernel basis attention (KBA) module. The proposed method shows better performance than the previous deraining methods in PSNR and SSIM. Moreover, the proposed method is effective for varying rain streak intensity.

关键词： Rain Computational modeling Autonomous aerial vehicles Transformers Real-time systems Quality assessment Kernel

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Partial Image Generation with VQGAN for River Surveillance Video Coding

Partial Image Generation with VQGAN for River Surveillance V...

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International Technical Conference o Circuits/systems, computers and Communications (ITC-CSCC)

作者： Naoya Nakayama Takafumi Katayama Tian Song Takashi Shimamoto Department of Science and Engineering Tokushima University Tokushima City Japan Computer Systems Engineering Institute of Technology and Science Graduate School of Engineering Tokushima University Tokushima City Japan

ISBN: (数字)9798350379051

ISBN: (纸本)9798350379068

In recent years, due to typhoons and torrential rains caused by global warming river overflows have been increasing rapidly. A river monitoring systems using surveillance cameras is considered efficient. However, in mountainous areas the bandwidth is limited that restrict the video transmission with acceptable video quality. In this work, a novel river surveillance system is proposed with a semantic segmentation based important object extraction process followed by a VVC encoder on the river side which only encode the context of the most important objects to save encoding bits. On the other hand, unimportant context is generated on the decoder side in the server side with a VQGAN model. The simulation results show that the proposed system can not only significantly reduce the bitrate but also keep a very high subjective video quality.

关键词： Video coding Image synthesis Tropical cyclones Surveillance Simulation Bit rate Rivers

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An Object Driven Fuzzy Decision Model for Sugarcane Yield Prediction in Indonesia’s Sugar Industry

An Object Driven Fuzzy Decision Model for Sugarcane Yield Pr...

引用

International Seminar on Research of Information Technology and Intelligent systems (ISRITI)

作者： Ditdit Nugeraha Utama Muhammad Asrol Suharjito Christian Harito Napthaleni Muhammad Syafrudin Computer Science Department BINUS Graduate Program Master of Computer Science Bina Nusantara University Jakarta Indonesia Industrial Engineering Department BINUS Graduate Program Master of Industrial Engineering Bina Nusantara University Jakarta Indonesia Department of Artificial Intelligence and Data Science Sejong University Seoul South Korea

ISBN: (数字)9798331519643

ISBN: (纸本)9798331519650

A sugarcane yield of one plantation area depends on several independent variables. Practically it is challenging to predict accurately by using conventional methods. This study aims to develop a decision model based on a combination of fuzzy logic and object-oriented methods to predict sugarcane yield. The research is conducted in four main stages, employing object-oriented methods for model design and fuzzy logic for model construction. Object and activity diagrams are used for the object-oriented model design. The fuzzy membership functions employed are a combination of trapezoidal and triangular shapes. The resulting decision model can simulate 2,225 data from plantation areas in Indonesia. Based on the 10 examples of plantation area data in Indonesia, plantation number one obtained the largest sugarcane yield, which was 4.79%, with a similarity value of 0.90 (when compared to manual calculations as its ground truth). This similarity value is a higher value when compared to the average similarity value, which is 0.89.

关键词： Fuzzy logic Seminars Shape Object oriented modeling Plantations Manuals Predictive models Sugar industry Intelligent systems Information technology

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The Technology behind Genomic Database 4

The Technology behind Genomic Database

引用

4th International Conference on Cybernetics and Intelligent System, ICORIS 2022

作者： Trinugroho, Joko Pebrianto Perbangsa, Anzaludin Samsinga Pardamean, Bens Bina Nusantara University Bioinformatics and Data Science Research Center Jakarta11480 Indonesia School of Information Systems Bina Nusantara University Information Systems Department Jakarta11480 Indonesia Bina Nusantara University BINUS Graduate Program - Master of Computer Science Computer Science Department Jakarta11480 Indonesia

ISBN: (纸本)9781665453950

In this digital era, we are exposed to a large amount of data. This includes biological data, which stores information about living organisms, including Deoxyribonucleic acid (DNA), genes, and proteins. With the development of information technology and information system, most of available biological data are stored in an online public database. Many of the databases are free-access and easily used, which helps the users, especially researchers, to make use of the data. Among the known public biological databases are the University of California Santa Cruz (UCSC) Genome Browser Database and the Rat Genome Database (RGD). These two databases provide access to the biological data from different organisms. This paper aims to describe the technology of public biological databases. Also elucidated in this paper are the differences features between UCSC Genome Browser Database and the RGD. Our results showed that the UCSC contains much more biological data and features than the RGD. However, the genome browser of UCSC has a complex display, while the RGD has a simple display. Overall, both databases give the users the option to choose the most suitable database for them. © 2022 IEEE.

关键词： Rats

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Identifying Important Usernames in 'Biofarma' Conversation using Twitter Network Analysis 7

Identifying Important Usernames in 'Biofarma' Conversation u...

引用

7th International Conference on Information Management and Technology, ICIMTech 2022

作者： Rahutomo, Reza Jariyah, Ainun Trinugroho, Joko Pebrianto Pardamean, Bens School of Information Systems Bina Nusantara University Information Systems Department Jakarta11480 Indonesia Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta11480 Indonesia BINUS Graduate Program-Master of Computer Science Bina Nusantara University Computer Science Department Jakarta11480 Indonesia

ISBN: (数字)9781665450904

ISBN: (纸本)9781665450904

This study analyzed interactions between Twitter users in conversations regarding Indonesia's state-owned vaccine manufacturer 'Biofarma' in 2021. The primary objective of this study is to identify Key Opinion Leaders (KOL) due to the need of authentic and trustworthy persona in social media. A technique called network centrality was employed in this research alongside four centrality measurements, namely degree of centrality, eigenvector centrality, betweenness centrality, and closeness centrality. Focused on using a reply network interaction dataset, the research discovered several important usernames with different roles that enlivened the conversation and have a potential for social media marketing optimization. © 2022 IEEE.

关键词： Marketing

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Diabetes Classification Using Support Vector Machine: Binary Classification Model 4

Diabetes Classification Using Support Vector Machine: Binary...

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4th International Conference on Information and Communications Technology, ICOIACT 2021

作者： Rabiha, Suciana Ghadati Wibowo, Antoni Lukas Heryadi, Yaya Computer Science Department BINUS Graduate Program-Doctor of Computer Science. Information Systems Department BINUS Online Learning Bina Nusantara University Jakarta11480 Indonesia Computer Science Department BINUS Graduate Program-Doctor of Computer Science Bina Nusantara University 11480 Indonesia Faculty of Engineering Universitas Katolik Indonesia Atma Jaya Indonesia Computer Science Department BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University 11480 Indonesia

ISBN: (纸本)9781665433945

One of the health problems that require special attention is diabetes, besides the growth of this disease infection is increasing in various circles ranging from children, adults, men, women and the elderly. So to detect diabetes at an early stage, machine learning algorithms are the right choice to help detect indications of diabetes. This paper presents experimental results related to the exploration of the use of a Super Vector Machine (SVM) for data classification of Diabetes. The model used in this experiment is the Binary Classification Model. Based on the test results, the highest accuracy is obtained by using a total of 700 lines of data, which is 75,7143%. The Best estimated feasible point in Box Constraint is 272.29 with a KernelScale area of 72.627. © 2021 IEEE

关键词： Face recognition

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Database Management System Design Improvement for Child Stunting Data Collection in Multiple Observation Areas 7

Database Management System Design Improvement for Child Stun...

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7th International Conference on Information Management and Technology, ICIMTech 2022

作者： Rahutomo, Reza Elwirehardja, Gregorius Natanael Dominic, Nicholas Caesario, Benedict Pardamean, Bens School of Information Systems Bina Nusantara University Information Systems Department Jakarta11480 Indonesia Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta11480 Indonesia BINUS Graduate Program - Master of Computer Science Bina Nusantara University Computer Science Department Jakarta11480 Indonesia

ISBN: (数字)9781665450904

ISBN: (纸本)9781665450904

The launch of StuntingDB is believed to enliven the role of database management systems (DBMS) in Indonesia's stunting research. However, a novelty in stunting data management that enables parallel project activation in multiple observation areas is necessary. Several improved functionalities in StuntingDB must be designed to prevent the high demand for accessibility in the middle of stunting research. Connolly and Begg's principle of database design is adopted along with Software Development Life Cycle's Waterfall model for creating a continuous development of the system. This research produces a new database design in the form of Entity Relationship Diagram (ERD) and Use Case Diagram to help system developers realizing a new version of StuntingDB for stunting research in several observation areas. © 2022 IEEE.

关键词： Database systems

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