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Performance Comparison of Centralized and Distributed Antenna system in 5G

Performance Comparison of Centralized and Distributed Antenn...

2019 Imam Al-Kadhum International Conference for Modern Applications of information and Communication Technology, MAICT 2019

作者： Hameed, Saif Saad Mohammed Saleh, Hadeel Department of Computer Networking System Faculty of Computer Science and Information Technology University of Anbar Iraq Faculty Pharmacy University of Anbar Anbar-Iraq Iraq

The usage range of nowadays wireless communications become wide, all of the develop applications uses wireless communication which improve the mobility and improve the mobility of the network subscribers. As known that the antenna diversity scheme developed from "SISO" to "MIMO" that has a maximum capacity and ability to improve the communication quality with a good shields among the fading effects and other impairments. In this research work study and analysis to the antenna systems and antenna schemes was done taking into consideration the central antenna system and the distributed antenna system "CAS" and "DAS". A Matlab simulation was developed to test antenna configuration system in term of effeteness of fading channel while using different modulation order. © Published under licence by IOP Publishing Ltd.

关键词： Fading channels

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Data plane failure and its recovery techniques in SDN: A systematic literature review

TechRxiv

引用

TechRxiv 2022年

作者： Khan, Nauman Salleh, Rosli bin Koubaa, Anis Khan, Zahid Khan, Muhammad Khurram Ali, Ihsan Department of Computer System & Technology Faculty of Computer Science & Information Technology University of Malaya Kuala Lumpur Malaysia Department of Computer Science & Information Technology University of Malakand Dir Lower KPK Chakdara Pakistan College of Computer and Information Sciences Prince Sultan University Riyadh11586 Saudi Arabia Center of Excellence in Information Assurance King Saud University Saudi Arabia University of Malaya Malaysia Malaysia

Software-defined networking (SDN) plays a crucial role in the enterprise and wide-area networking. The increasing demand for strict service-level agreement applications on the Internet requires networks to be scalable and resilient in the face of link and switch failure. However, there is a lack of systematic reviews on SDN data plane failure recovery techniques. This review article assesses SDN current state-of-the-art link and switches failure recovery solutions. We cover the root causes of failures in the traditional core network and their detection and classify the current failure recovery techniques for SDN into two categories: traditional and artificial intelligence (AI) approaches. AI-based techniques enable efficient failure recovery and enhance the quality of service. We also consider performance measure metrics to evaluate and determine the limitations of existing solutions. This study reviews 188 papers from 2010 to 2021, selecting 70 articles that are highly relevant to our work. All articles are written in English. Our research aims to collect a large amount of evidence that will assist the industry and academic researchers in networking to address current research gaps in failure recovery solutions for the SDN data plane. © 2022, CC BY.

关键词： Software defined networking

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Experimental Study of Heat Transfer Using Water - Cooled Condensers to Increase Oil Production from Plastic Waste 1

Experimental Study of Heat Transfer Using Water - Cooled Con...

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1st Paris Van Java International Seminar on computer, science, Engineering, and Technology, PVJ ISComSET 2020

作者： Suryadimal Arman, Rizky Sundari, Elmi Darmayanti, Yeasy Efendi, Raimon Mechanical Engineering Department Industrial Faculty Engineering Universitas Bung Hatta Indonesia Chemical Engineering Department Industrial Faculty Engineering Universitas Bung Hatta Indonesia Accountancy Department Economic and Bisnis Faculty Universitas Bung Hatta Indonesia Information System Department Computer Science Faculty Universitas Dharmas Indonesia

This study aims to determine the performance of the heat exchanger in Low Density Polyethylene non-organic waste refining tools into fuel oil. This research is an experimental study that uses plastic waste obtained from scavengers and then cleaned, dried and chopped with a small size and then inserted into a three condenser level during a certain time. After the combustion temperature rises, water as a cooling medium is flowed in the pipe so that condensation occurs in the oil pipe. The results of the test carried out in the process of cracking plastic waste into fuel oil are affected by time, volume, temperature and heat transfer rate. Testing time for 30 minutes on the condenser obtained the heat transfer rate in the pipe 558.4 W, at 60 minutes the value of heat transfer was 732.2 W, while at 90 minutes the average heat transfer value was 1039.7 W. There was an increase in the heat transfer value as it increased Combustion time and oil produced by the reactor averaged 812 ml. © Published under licence by IOP Publishing Ltd.

关键词： Heat transfer

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Performance Evaluation of FC-RDVM and LDIWM Router Placement Methods for WMNs by WMN-PSODGA Hybrid Simulation system Considering Load Balancing and Chi-Square Distribution of Mesh Clients 1

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37th International Conference on Advanced information Networking and Applications, AINA 2023

作者： Barolli, Admir Sakamoto, Shinji Kulla, Elis Barolli, Leonard Takizawa, Makoto Department of Information Technology Aleksander Moisiu University of Durres L.1 Rruga e Currilave Durres Albania Department of Information and Computer Science Kanazawa Institute of Technology 7-1 Ohgigaoka Ishikawa Nonoichi921-8501 Japan Department of System Management Fukuoka Institute of Technology 3-30-1 Wajiro-Higashi Fukuoka Higashi-Ku811-0295 Japan Department of Information and Communication Engineering Fukuoka Institute of Technology 3-30-1 Wajiro-Higashi Fukuoka Higashi-Ku811-0295 Japan Department of Advanced Sciences Faculty of Science and Engineering Hosei University 3-7-2 Kajino-machi Koganei-shi Tokyo184-8584 Japan

ISBN: (数字)9783031284519

ISBN: (纸本)9783031284502

In this paper, we present WMN-PSODGA hybrid simulation system for optimization of mesh routers in Wireless Mesh Networks (WMNs). We consider Chi-square distribution of mesh clients and compare the results of a Fast Convergence Rational Decrement of Vmax Method (FC-RDVM) with Linearly Decreacing Inertia Weight Method (LDIWM). The simulation results show that FC-RDVM has better load balancing than LDIWM. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： MESH networking

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Neural Topic Modeling with Deep Mutual information Estimation

arXiv

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arXiv 2022年

作者： Xu, Kang Lu, Xiaoqiu Li, Yuan-Fang Wu, Tongtong Qi, Guilin Ye, Ning Wang, Dong Zhou, Zheng School of Computer Science Nanjing University of Posts and Telecommunications China School of Computer Science and Engineering Southeast University China Faculty of Information Technology Monash University Australia Department of Earth System Science Tsinghua University Beijing100084 China

The emerging neural topic models make topic modeling more easily adaptable and extendable in unsupervised text mining. However, the existing neural topic models is difficult to retain representative information of the documents within the learnt topic representation. In this paper, we propose a neural topic model which incorporates deep mutual information estimation, i.e., Neural Topic Modeling with Deep Mutual information Estimation(NTM-DMIE). NTM-DMIE is a neural network method for topic learning which maximizes the mutual information between the input documents and their latent topic representation. To learn robust topic representation, we incorporate the discriminator to discriminate negative examples and positive examples via adversarial learning. Moreover, we use both global and local mutual information to preserve the rich information of the input documents in the topic representation. We evaluate NTM-DMIE on several metrics, including accuracy of text clustering, with topic representation, topic uniqueness and topic coherence. Compared to the existing methods, the experimental results show that NTM-DMIE can outperform in all the metrics on the four datasets. © 2022, CC BY.

关键词：

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The Development of Self-Service Application at Martabak Air Mancur Restaurant 4

The Development of Self-Service Application at Martabak Air ...

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4th International Conference on Computing and Applied Informatics 2019, ICCAI 2019

作者： Sagala, N.T.M. Andreas Putro, E. Department of Information System Faculty of Engineering and Computer Science Krida Wacana Christian University Jakarta Indonesia

The amount of time spent in requesting and waiting for the meal in Martabak Air Mancur restaurant may permanently multiply the number of customers in the line waiting especially during peak hours and on weekend. It will affect the quality service of the restaurant and the loyalty of the customer. From the observation, most of the customers spent a great deal of time making an order when faced with many proportionate choices. The study proposed a system by using self-service technology and the waterfall model. In the beginning, the time needed from making an order to finishing the payment is 15 minutes. The system built can reduce the transaction time to 10 minutes. © Published under licence by IOP Publishing Ltd.

关键词： Sales

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Online Learning Self-Efficacy: The Role in E-Learning Success 3

Online Learning Self-Efficacy: The Role in E-Learning Succes...

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3rd International Conference on science and Technology 2019, ICST 2019

作者： Ithriah, S.A. Ridwandono, D. Suryanto, T.L.M. Department Information System Faculty of Computer Science Universitas Pembangunan Nasional Veteran Jawa Timur Indonesia

The e-learning success factor has been widely researched. One of which is Self-Efficacy, that has a vital role in online learning. Previous research has focused only on computer Self-Efficacy. While the effect of a more specific factor, Online Learning Self-Efficacy, is unknown. This research has a contribution in revealing the influence of Online Learning Self-Efficacy factor to the success of e-learning by using D & M model. This study uses a quantitative approach to a sample of 101 university students. The result of data processing using Warp PLS shows that the factor of Online Learning has a positive and significant influence on the use of e-learning. Although this research has some limitations, which will be discussed in this paper, this research can still become a starting point for further research in the online learning field. © Published under licence by IOP Publishing Ltd.

关键词： E-learning

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Image Splicing Detection Based on Texture Features with Fractal Entropy

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computers, Materials & Continua 2021年第12期69卷 3903-3915页

作者： Razi J.Al-Azawi Nadia M.G.Al-Saidi Hamid A.Jalab Rabha W.Ibrahim Dumitru Baleanu Department of Laser and Optoelectronics Engineering University of TechnologyBaghdad10066Iraq Department of Applied Sciences University of TechnologyBaghdad10066Iraq Department of Computer System and Technology Faculty of Computer Science and Information TechnologyUniversiti MalayaKuala Lumpur50603Malaysia IEEE:94086547 Kuala Lumpur59200Malaysia Department of Mathematics Cankaya UniversityBalgat06530AnkaraTurkey Institute of Space Sciences R76900 Magurele-BucharestRomania Department of Medical Research China Medical UniversityTaichung40402Taiwan

Over the past years,image manipulation tools have become widely accessible and easier to use,which made the issue of image tampering far more *** a direct result to the development of sophisticated image-editing applications,it has become near impossible to recognize tampered images with naked ***,to overcome this issue,computer techniques and algorithms have been developed to help with the identification of tampered *** on detection of tampered images still carries great *** the present study,we particularly focus on image splicing forgery,a type of manipulation where a region of an image is transposed onto another *** proposed study consists of four features extraction stages used to extract the important features from suspicious images,namely,Fractal Entropy(FrEp),local binary patterns(LBP),Skewness,and *** main advantage of FrEp is the ability to extract the texture information contained in the input ***,the“support vector machine”(SVM)classification is used to classify images into either spliced or *** analysis shows that the proposed algorithm performs better than recent state-of-the-art of splicing detection ***,the proposed algorithm achieves an ideal balance between performance,accuracy,and efficacy,which makes it suitable for real-world applications.

关键词： Fractal entropy image splicing texture features LBP SVM

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The Art of Camouflage: Few-shot Learning for Animal Detection and Segmentation

arXiv

引用

arXiv 2023年

作者： Nguyen, Thanh-Danh Vu, Anh-Khoa Nguyen Nguyen, Nhat-Duy Nguyen, Vinh-Tiep Ngo, Thanh Duc Do, Thanh-Toan Tran, Minh-Triet Nguyen, Tam V. Laboratory of Multimedia Communications University of Information Technology Ho Chi Minh City Viet Nam Faculty of Computer Science University of Information Technology Ho Chi Minh City Viet Nam Faculty of Information Technology University of Science Ho Chi Minh City Viet Nam John von Neumann Institute VNU-HCM Viet Nam Vietnam National University Ho Chi Minh City Viet Nam Faculty of Information Technology Monash University ClaytonVIC3800 Australia Department of Computer Science University of Dayton DaytonOH45469 United States

Camouflaged object detection and segmentation is a new and challenging research topic in computer vision. There is a serious issue of lacking data on concealed objects such as camouflaged animals in natural scenes. In this paper, we address the problem of few-shot learning for camouflaged object detection and segmentation. To this end, we first collect a new dataset, CAMO-FS, for the benchmark. As camouflaged instances are challenging to recognize due to their similarity compared to the surroundings, we guide our models to obtain camouflaged features that highly distinguish the instances from the background. In this work, we propose FS-CDIS, a framework to efficiently detect and segment camouflaged instances via two loss functions contributing to the training process. Firstly, the instance triplet loss with the characteristic of differentiating the anchor, which is the mean of all camouflaged foreground points, and the background points are employed to work at the instance level. Secondly, to consolidate the generalization at the class level, we present instance memory storage with the scope of storing camouflaged features of the same category, allowing the model to capture further class-level information during the learning process. The extensive experiments demonstrated that our proposed method achieves state-of-the-art performance on the newly collected dataset. Code is available at https://***/danhntd/FS-CDIS. © 2023, CC BY-NC-ND.

关键词： Zero-shot learning

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The effect of extended kit-build concept mapping on students' perceptions 7

The effect of extended kit-build concept mapping on students...

引用

7th International Conference on Education and Technology, ICET 2021

作者： Prasetya, Didik Dwi Pinandito, Aryo Hayashi, Yusuke Hirashima, Tsukasa Universitas Negeri Malang Dept. of Electrical Engineering Malang Indonesia Universitas Brawijaya Faculty of Computer Science Information System Department Malang Indonesia Graduate School of Engineering Hiroshima University Dept. of Information Engineering Higashihiroshima Japan

ISBN: (纸本)9781665427814

Extension concept mapping is a technique to connect prior existing concept maps with a relevant new knowledge structure. It provides learners with the opportunity to review initial ideas, eliciting missing relationships, adding new components, and improve knowledge structure. While the current study proposed that the Extended Kit-Build design promotes students' achievements, it has yet to evaluate the students' perception. This study investigated the effects of Extended Kit-Build concept mapping design on students' perceptions using the Technology Acceptance Model. The perceived ease-of-use, perceived usefulness, and Behavioral Intention constructs were used to investigate users' intention to use the Extended Kit-Build tool in learning. The results reported that the learners perceived positive effects on Extended Kit-Build as ease of use and a useful learning tool. They also have a high intention to use the tool in the future. © 2021 IEEE.

关键词： Students

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