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7th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2019

作者： Nakata, Michinori Sakai, Hiroshi Faculty of Management and Information Science Josai International University 1 Gumyo ToganeChiba283-8555 Japan Department of Mathematics and Computer Aided Sciences Faculty of Engineering Kyushu Institute of Technology Tobata Kitakyushu804-8550 Japan

ISBN: (纸本)9783030148140

How to induce rules from data tables containing possibilistic information is described under using rough sets based on possible world semantics. A piece of possibilistic information is expressed in a normal and discrete possibility distribution. Under a degree of possibility, the incomplete data table is derived from a possibilistic data table. Rough sets and rules are derived from incomplete data tables. The rough sets and rules obtained under every degree of possibility are aggregated from the viewpoints of certainty and possibility. As a result, rough sets consist of objects with a degree expressed in an interval and an object also supports rules with a degree expressed in an interval value. Furthermore, a criterion is introduced to judge whether or not an object is regarded as validly supporting rules. © Springer Nature Switzerland AG 2019.

关键词： Rough set theory

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Mobile Gaming on a Virtualized Infrastructure

Mobile Gaming on a Virtualized Infrastructure

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IEEE Mediterranean Electrotechnical Conference

作者： Saviour Zammit Adrian Muscat George Gauci Dept of Communications and Computer Engineering Faculty of Information and Communications Technology University of Malta

ISBN: (纸本)9781467307826

This paper describes the design, implementation and testing of a prototype system that processes and manages games on a remote server and played on a mobile device. The game application is executed on the remote server and video-streamed to a mobile device over WiFi. The mobile keyboard input is relayed to the server to control the game. The prototype test-bed includes a virtualization based infrastructure and the necessary software for both the virtual game server and the mobile device. Performance tests are carried out on this prototype test-bed and the results are evaluated.

关键词： Servers Mobile Game theory Mobile games INFRASTRUCTURE Prototype tests Hunting Game animals Virtualization

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Edge-Cloud Computing Systems for Unmanned Aerial Vehicles Capable of Optimal Work Offloading with Delay 2

Edge-Cloud Computing Systems for Unmanned Aerial Vehicles Ca...

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2nd International Conference on Electronics and Renewable Systems, ICEARS 2023

作者： Narayana Tinnaluri, V.S. Vyankatesh Ghamande, Manasi Singh, Shashank Kuchipudi, Ramu Dattatraya Bhosale, Minakshi Dharani, R. Koneru Lakshmaiah Education Foundation Department of Computer Science Andhra Pradesh Vijayawada India Vishwakarma Institute of Information Technology Engineering and Applied Sciences Pune411037 India Integral University Lucknow Department of Computer Science and Engineering Uttar Pradesh India Chaitanya Bharathi Institute of Technology Department of Information Technology Telangana Hyderabad India Faculty of Mca Yashoda Technical Campus Satara Maharashtra Wadhe India M. Kumarasamy College of Engineering Department of Computer Science and Business Systems Tamilnadu Karur India

ISBN: (纸本)9798350346640

Mobile terminals' limited processing power and memory make it challenging to meet the needs of increasingly complex applications like autonomous vehicles and augmented reality. That's why there's been a rise in the demand for edge cloud computing power from endpoint gadgets. Due to its adaptability and proximity to the user, an unmanned aerial vehicle (UAV) may be used to support mobile edge computing (MEC) via job offloading, potentially relieving strain on edge clouds. Due to limitations in processing power and battery life, Unmanned Aerial Vehicles (UAV) devices face a huge issue with the rise of Applications and services for mobile devices that can't afford to be delayed and that need a lot of processing power. Task offloading is one way that mobile cloud computing may help you get around these restrictions. The biggest difficulties with this paradigm, however, are the significant latency and security concerns. The edge-cloud computing model was then proposed and has since seen widespread adoption as a means of dealing with these complications. However, the present task offloading models allow UAVs to perform their heavy jobs at the linked edge server, leading to unnecessary loads owing to the huge amount of UAVs and, in turn, increasing the latency. For this reason, this study has presented a delay-optimal task offloading strategy for multi-tier edge-cloud computing with many users. In this research, a system model has been proposed to assist an intelligent and perceptive agent in determining the best computational offloading strategy, minimizing both the time it takes to complete a job and the amount of power it needs to do so. The efficacy of an agent was shown, and simulation results revealed that its adoption may greatly cut delay and energy usage. © 2023 IEEE.

关键词： Mobile edge computing

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Optimization of Transmission Distance in Symmetric Wireless Power Transfer Topology

Optimization of Transmission Distance in Symmetric Wireless ...

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Proceedings of the International Convention MIPRO

作者： Davor Vinko Mario Srnović Domagoj Bilandžija Luka Filipović Faculty of Electrical Engineering Computer Science and Information Technology Osijek Osijek Croatia

ISBN: (数字)9798350382501

ISBN: (纸本)9798350382518

Inductive wireless power transfer (WPT) system uses alternating magnetic field to transmit power from the transmitter to the receiver. To confine the magnetic field, WPT coils are realized with high permeability substrate material that ensures shielding. Aside from shielding, high permeability substrate also increases the coil inductance. When transmitter and receiver coils are placed in close proximity, high permeability substrate of transmitter coil increases the inductance of the receiver coil, and vice versa. This additional inductance increase is a function of the substrate material type and the distance between the coils. To achieve high efficiency and low losses of the WPT system, a capacitor network is added to both transmitter and receiver coil. In a common serial-serial (S-S) WPT system topology, the capacitor networks are asymmetric, i.e. the capacitor network of the transmitter and the receiver are not identical. The efficiency of asymmetric S-S topology is significantly impaired due to variable coil inductance. To attain high efficiency in such operating conditions, this paper proposes symmetric S-S WPT topology with emphasis on transmission distance optimization.

关键词： Coils Inductance Transmitters Network topology Receivers Topology Permeability

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Sponsored Search Auction considering Combinational Bids with Externalities

Sponsored Search Auction considering Combinational Bids with...

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IIAI International Conference on Advanced Applied Informatics

作者： Ryusuke Imada Katsuhide Fujita Department of Computer and Information Sciences Faculty of Engineering Tokyo University of Agriculture and Technology

ISBN: (纸本)9781479999590

Sponsored search is a mechanism that shows the appropriate ads according to search queries. The orders and payments of ads are determined by the auction. Recently, the allocations are determined by the click through rate (CTR) and the externalities which give effects to CTR and haven't been considered in existing works. However, the mechanism with externalities has high computational cost. The algorithm which can calculate the approximated solution considering the externalities within the polynomial-time are proposed, however, it assumed that one bidder can propose only a single ad. In this paper, we propose the approximation allocation algorithm that one bidder can offer many ads considering externalities. The proposed algorithm employs the concept of the combinatorial auction in order to consider the combinational bids. In addition, the proposed algorithm can find the approximated allocation by the dynamic programming. Moreover, we prove the computational complexity and the monotonicity of the proposed mechanism, and demonstrate computational costs and efficiency ratios by changing the number of ads, slots and maximum bids. The experimental results show that the proposed algorithm can calculate 0.7-approximation solution even though the full search can't find solutions in the limited times.

关键词： Sponsored Search Auction Combinational Auction Multi-agent Systems

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Hybrid Multi-Strategy Aquila Optimization with Deep Learning Driven Crop Type Classification on Hyperspectral Images

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computer Systems Science & engineering 2023年第10期47卷 375-391页

作者： Sultan Alahmari Saud Yonbawi Suneetha Racharla ELaxmi Lydia Mohamad Khairi Ishak Hend Khalid Alkahtani Ayman Aljarbouh Samih M.Mostafa King Abdulaziz City for Science and Technology P.O Box 6086Riyadh 11442Saudi Arabia Department of Software Engineering College of Computer Science and EngineeringUniversity of JeddahJeddahSaudi Arabia Department of AIML Aditya Engineering CollegeSurempallemAndhra PradeshIndia Department of Computer Science and Engineering Vignan’s Institute of Information TechnologyVisakhapatnam530049India School of Electrical and Electronic Engineering Engineering CampusUniversiti Sains Malaysia(USM)Nibong TebalPenang14300Malaysia Department of Information Systems College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh 11671Saudi Arabia Department of Computer Science University of Central AsiaNaryn722600Kyrgyzstan Faculty of Computers and Information South Valley UniversityQena83523Egypt

Hyperspectral imaging instruments could capture detailed spatial information and rich spectral signs of observed *** spatial information and spectral signatures of hyperspectral images(HSIs)present greater potential for detecting and classifying fine *** accurate classification of crop kinds utilizing hyperspectral remote sensing imaging(RSI)has become an indispensable application in the agricultural *** is significant for the prediction and growth monitoring of crop *** the deep learning(DL)techniques,Convolution Neural Network(CNN)was the best method for classifying HSI for their incredible local contextual modeling ability,enabling spectral and spatial feature *** article designs a Hybrid Multi-Strategy Aquila Optimization with a Deep Learning-Driven Crop Type Classification(HMAODL-CTC)algorithm *** proposed HMAODL-CTC model mainly intends to categorize different types of crops on *** accomplish this,the presented HMAODL-CTC model initially carries out image preprocessing to improve image *** addition,the presented HMAODL-CTC model develops dilated convolutional neural network(CNN)for feature *** hyperparameter tuning of the dilated CNN model,the HMAO algorithm is ***,the presented HMAODL-CTC model uses an extreme learning machine(ELM)model for crop type classification.A comprehensive set of simulations were performed to illustrate the enhanced performance of the presented HMAODL-CTC *** comparison studies reported the improved performance of the presented HMAODL-CTC algorithm over other compared methods.

关键词： Crop type classification hyperspectral images agricultural monitoring deep learning metaheuristics

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Improving Energy Consumption In IoT Networks: Reducing Sensors Energy By Timing Control

Improving Energy Consumption In IoT Networks: Reducing Senso...

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2023 Al-Sadiq International Conference on Communication and information technology, AICCIT 2023

作者： Al-Taie, Ali Hameed Luaibi Aljumaily, Mustafa S. Ayal, A.M. Al-Khaleefa, Ahmed Dakhil, Adel Manaa Alsalamy, Ali Shahid Chamran University of Ahvaz Faculty of Engineering Computer Engineering Department Ahvaz Iran University of Tennessee Electrical Engineering and Computer Science Department KnoxvilleTN United States University of Misan Maysan Iraq University of Misan Faculty of Education Department of Physics Maysan Iraq University of Misan College of Engineering Department of Electrical Engineering Maysan Iraq Imam Ja'afar Al-Sadiq University College of Information Technology Department of Computer Technical Engineering Al-Muthanna Iraq

ISBN: (纸本)9798350341881

The number of sensors is constantly increasing as a result of the urgent need for smart homes, factories, hospitals, military facilities, etc. Consequently, the energy consumption of these mostly battery-driven devices has increased, and due to their continuous work without stopping, it became necessary to think about and study to reduce energy consumption. In this paper, we are suggesting reducing energy consumption by establishing a schedule to turn the IoT sensors on and off according to the user demand and under their control. This research proposed a different On/Off time scenario when sensors are distributed as groups, each connected to gateways (Microcontrollers), which in turn are connected to the main server via a wireless connection, the Microcontrollers continuously check the readings sent by these sensors. The results showed the proposed algorithm increased the residual energy of the network by assigning sleeping intervals depending on the covered area and the number of neighboring nodes. © 2023 IEEE.

关键词： Energy efficiency

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Deep Learning in Medical Image Analysis for Personalized Medicine

Deep Learning in Medical Image Analysis for Personalized Med...

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International Symposium on Electronics in Marine (ELMAR)

作者： Irena Galić Marija Habijan Faculty of Electrical Engineering Computer Science and Information Technology Osijek Osijek Croatia

Deep learning (DL) has transformed the field of medical image processing, enabling unprecedented accuracy and efficiency in various applications. It has been widely utilized for medical image analysis of different anatomical regions. In this article, we provide an overview of commonly used deep learning methods, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and generative adversarial networks (GANs). We briefly overview their applications in medical image analysis, such as image classification, object detection/localization, segmentation, generation, and registration. We also highlight the strengths and limitations of each method and identify the challenges that still need to be addressed, including the limited availability of annotated data, variability in medical images, and the interpretability issue. Finally, we discuss future research directions, including developing explainable deep learning methods and integrating multi-modal data.

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Consensus for collaborative Ontology-based Vietnamese WordNet Building

Consensus for collaborative Ontology-based Vietnamese WordNe...

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5th Asian Conference on Intelligent information and Database Systems, ACIIDS 2013

作者： Le, Tuong Duong, Trong Hai Vo, Bay Kang, Sanggil University of Food Industry Hochiminh City Viet Nam Faculty of Mathematics and Informatics Quang Binh University Viet Nam Information Technology College Hochiminh City Viet Nam Department of Computer and Information Engineering Inha University Korea Republic of

ISBN: (纸本)9783642365423

Ontology-based Vietnamese WordNet (OVW) has an extremely important role for most of areas relating to Vietnamese language processing. In this paper, we supplement some structural changes to enrich the structure of Ontology-based WordNet and use it to develop the OVW. A consensus-based collaboration method with reliability measurement is proposed for collaborative OVW building. The knowledge contributed through collaborative processes by participants is considered as in consistent data for our consensus method to make a reconciled version. In experiment, OVW is automatically initialized by using Vietnamese word list. Participants collaborate to improve this initial version via our system. To evaluate our method, we compare the accuracy rate of OVW and Vietnamese WordNet using Asian WordNet's approach. © 2013 Springer-Verlag.

关键词： Ontology

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Smart Rice Cooker with PID Method to Warm Food using Android Application

Smart Rice Cooker with PID Method to Warm Food using Android...

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Mechanical, Electronics, computer, and Industrial technology (MECnIT), International Conference on

作者： Ratna Aisuwarya Yona Vidiana Computer Engineering Department Faculty of Information Technology Universitas Andalas Padang Indonesia

ISBN: (数字)9781728174037

ISBN: (纸本)9781728174044

Microwave, a typical electronic household device, requires an electrical power of 1000 watts 1450 watts to work optimally. However, because the electricity used is considerable, not all homes afford to use it. One other household appliance that has the same function as a microwave for warming food is a rice cooker. In the process of warming, we can replace the role of the microwave because it use less electrical power. Temperature adjustment is only available in the high-end rice cooker model so that the food that is warmed does not dry out or is damaged. Therefore, a rice cooker is designed that can control the temperature needed when heating different types of food depending on food conditions. The food that will be used has three types of conditions, namely frozen food, cold food, and normal food. Frozen food stored at temperatures at -15 degree Celcius, Cold food at 5 degree Celcius, and 27 degree Celcius for normal food. An android application was made on the smartphone to facilitate the control of the system and notify the user. This application will have a feature to choose the condition of the food to be warmed. This research aims to produce a system that can regulate and control the warming temperature according to the type of food. The Android application will regulate the temperature and time required. So that this system is useful to reduce electricity waste in replacing the microwave function. Experimental results show that the average amount of time to reach the setpoint by using the PID controller of each food is, ± 10 minutes for normal food, ± 15 minutes for cold food and ± 30 minutes for frozen food.

关键词： Temperature sensors Heating systems Androids Humanoid robots Bluetooth

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