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DSOS and SDSOS optimization: LP and SOCP-based alternatives to sum of squares optimization

DSOS and SDSOS optimization: LP and SOCP-based alternatives ...

引用

Annual Conference on Information Sciences and Systems (CISS)

作者： Amir Ali Ahmadi Anirudha Majumdar Mathematical Programming Group IBM Watson Research Center Department of Electrical Engineering and Computer Science MIT

Sum of squares (SOS) optimization has been a powerful and influential addition to the theory of optimization in the past decade. Its reliance on relatively large-scale semidefinite programming, however, has seriously challenged its ability to scale in many practical applications. In this paper, we introduce DSOS and SDSOS optimization as more tractable alternatives to sum of squares optimization that rely instead on linear programming and second order cone programming. These are optimization problems over certain subsets of sum of squares polynomials and positive semidefinite matrices and can be of potential interest in general applications of semidefinite programming where scalability is a limitation.

关键词： Optimization Robustness Collision avoidance Pricing Geometry

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Analysis of Cardiotocogram Data for Fetal Distress Determination by Decision Tree Based Adaptive Boosting Approach

Analysis of Cardiotocogram Data for Fetal Distress Determina...

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The 3rd International Conference on Signal and Image Processing(CSIP 2014) & The 6th International Conference on Computational Intelligence and Software engineering(CiSE 2014)

作者： Esra Mahsereci Karabulut Turgay Ibrikci Computer Programming Department Gaziantep UniversityGaziantep Turkey Department of Electrical and Electronics Engineering Cukurova UniversityAdana Turkey

Cardiotocography is one of the most widely used technique for recording changes in fetal heart rate(FHR) and uterine contractions. Assessing cardiotocography is crucial in that it leads to identifying fetuses which suffer from lack of oxygen, i.e. hypoxia. This situation is defined as fetal distress and requires fetal intervention in order to prevent fetus death or other neurological disease caused by hypoxia. In this study a computer-based approach for analyzing cardiotocogram including diagnostic features for discriminating a pathologic fetus. In order to achieve this aim adaptive boosting ensemble of decision trees and various other machine learning algorithms are employed.

关键词： Cardiotocogram,Fetal Distress,Adaptive Boosting,Decision Tree

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Advanced IOT Traffic Light Control System 5

Advanced IOT Traffic Light Control System

引用

5th International Conference on Advances in Computational Tools for engineering Applications, ACTEA 2023

作者： Hamad, Martin Abou El Hajj, Antonio Daou, Roy Abi Zeid Hayek, Ali Haidar, Gaby Abou Lebanese German University Faculty of Public Health Biomedical Technologies Department Lebanon MART Learning Education and Research Center Lebanon University of Kassel Department of Computer Architecture and System Programming Kassel Germany American University of Science and Technology Engineering Faculty Zahle Lebanon

ISBN: (纸本)9798350309959

For several years, traffic congestion has been a major problem in big cities where the number of cars and different means of transportation has been increasing significantly. The problem of congestion is becoming more and more critical, and if not treated smartly this issue will negatively affect drivers by wasting time and fuel gas while waiting for hours in lanes. This paper presents a new and smart way to mitigate this issue in an affordable cost, minimum processing power, and low power consumption. This concept takes into consideration the majority of the cases that may cause congestion and presents a smart and accurate outputs to ease traffic flow leading to the prediction of the peak hours of traffic congestion for smarter control. A model is designed to study the case of a four lanes crossroad with two traffic lights and two LCD monitors. The strategy in reading data is divided into two parts: real data from sensors and pre collected data from google maps to create a kind of a predicted pattern over a certain time interval. The responsiveness of the system is analyzed thoroughly, and the accuracy of all possible cases is carefully considered and evaluated. Each part of the system was tested alone, and the overall system is still in an ongoing testing phase. The results have shown minimum faulty errors and accepted outputs that can lead to safe traffic control decisions. Finally, integrating more IoT devices and sensors between V2V, V2P, V2I with the help of artificial intelligence will definitely optimize this system with higher accuracy. © 2023 IEEE.

关键词： Traffic congestion

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Cyber-Typhon: An Online Multi-task Anomaly Detection Framework 15th

Cyber-Typhon: An Online Multi-task Anomaly Detection Framewo...

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15th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2019

作者： Demertzis, Konstantinos Iliadis, Lazaros Kikiras, Panayiotis Tziritas, Nikos School of Engineering Department of Civil Engineering Faculty of Mathematics Programming and General Courses Democritus University of Thrace Kimmeria Xanthi Greece School of Science Department of Computer Science University of Thessaly Lamia Greece Research Center for Cloud Computing Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen China

ISBN: (纸本)9783030198220

According to the Greek mythology, Typhon was a gigantic monster with one hundred dragon heads, bigger than all mountains. His open hands were extending from East to West, his head could reach the sky and flames were coming out of his mouth. His body below the waste consisted of curled snakes. This research effort introduces the "Cyber-Typhon" (CYTY) an Online Multi-Task Anomaly Detection Framework. It aims to fully upgrade old passive infrastructure through an intelligent mechanism, using advanced Computational Intelligence (COIN) algorithms. More specifically, it proposes an intelligent Multi-Task Learning framework, which combines On-Line Sequential Extreme Learning Machines (OS-ELM) and Restricted Boltzmann Machines (RBMs) in order to control data flows. The final target of this model is the intelligent classification of Critical Infrastructures’ network flow, resulting in Anomaly Detection due to Advanced Persistent Threat (APT) attacks. © 2019, IFIP International Federation for Information Processing.

关键词： Anomaly detection

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Autonomous intruder detection system using wireless networked mobile robots

Autonomous intruder detection system using wireless networke...

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IEEE Symposium on computers and Communications (ISCC)

作者： Gurkan Tuna Coskun Tasdemir Kayhan Gulez Tarik Veli Mumcu Vehbi Cagri Gungor Department of Computer Programming Trakya University Edirne Turkey Department of Control and Automation Engineering Yildiz Technical University Istanbul Turkey Department of Computer Engineering Bahcesehir University Istanbul Turkey

Wireless networked mobile robots pursuing a common objective are envisioned to be an efficient solution for many military, industrial, commercial, and environmental applications. This paper presents the design considerations of an autonomous intruder detection system based on wireless networked robots. Specifically, three critical aspects of these systems, such as coordination and task allocation, communication, and map-based intruder detection, have been investigated and a multi-sensor fusion mechanism has been presented. Performance results show that the fusion of redundant information from different sensors can increase the accuracy of a system and reduce overall uncertainty in intruder detection applications.

关键词： Robot kinematics Mobile robots Cameras Wireless communication Robot sensing systems

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Mobile Robot Aided Self-Deploying Wireless Sensor Networks for Radiation Leak Detection

Mobile Robot Aided Self-Deploying Wireless Sensor Networks f...

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New Technologies, Mobility and Security (NTMS)

作者： Gurkan Tuna Kayhan Gulez T. Veli Mumcu V. Cagri Gungor Department of Computer Programming Trakya University Edirne Turkey Department of Control and Automation Engineering Yildiz Technical University Istanbul Turkey Department of Computer Engineering Bahcesehir University Istanbul Turkey

This paper presents a mobile robot aided self deploying wireless sensor network aiming to detect radiation leaks and to measure radiation levels, and explains design considerations to prolong network life. Special attention is given to the factors which are important for the specific requirements of radiation leak detection. Wireless sensor networks (WSNs) provide numerous benefits to applications with low duty cycle, such as environmental monitoring, event detection, etc. However, the realization of these potential benefits directly depends on energy efficient and reliable communication and coordination capabilities of the deployed system. In this study, challenges of WSNs, deployment strategies using mobile robots, and energy harvesting techniques to maximize lifetime of WSNs are discussed. Also, a comparison of two different exploration strategies is shown with the results of our own application developed in C#. Main contributions of this study are discussions on mobile robot aided WSN deployment strategies and energy harvesting techniques to maximize WSN lifetime.

关键词： Robot sensing systems Wireless sensor networks Robot kinematics Mobile robots Wireless communication Energy harvesting

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Dynamic Calculation and Characterization of Threshold Value in Optical Character Recognition

Dynamic Calculation and Characterization of Threshold Value ...

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International Conference on challenges in IT, engineering and Technology (ICCIET’2014, Phuket)

作者： Ay?e Eldem Fatih Ba??ift?i Department of Computer Technology and Computer Programming Technical Science Vocational High School Karamano?lu Mehmetbey University Department of Computer Engineering Faculty of Technology Selcuk University

Optical character recognition(OCR) can be used in some management mechanisms of state and business world to organize documents scanned or captured by camera. Therefore, OCR is one of the subjects rapidly evolving in the recent times. This study investigates the procedure steps until character recognition. That's because, the more correctly preprocessings are applied;the better results can be obtained in character recognition. In this study, the algorithms providing the best results are determined by following the procedure stages of gray scale transformation, noise removal and image thresholding. Binarization plays an important role in character recognition. For this reason, algorithms dynamically determine thresholds are preferred for character recognition in this study. Accordingly, Otsu thresholding method was determined to give the best results in terms of both picture quality and speed. Therefore, this method was used for character recognition. Primarily, lines were determined for character separation and then letters were individually obtained.

关键词： Image Processing OCR Thresholding Binarization Pattern Recognition

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Common network attack types and defense mechanisms

Common network attack types and defense mechanisms

引用

IEEE Signal Processing and Communications Applications (SIU)

作者： Resul Daş Abubakar Karabade Gurkan Tuna Department of Software Engineering Firat Univ. Elazığ Turkey Department of Computer Programming Trakya University Edirne Turkey

For every organization having a well secured network is the primary requirement to reach their goals. A network is said to be secure if it can protect itself from sophisticated attacks. Due to the rapid increase in the number of network users, security becomes the main challenge in the area of network field. Most security related threats target the layers of the OSI reference model. Sophisticated attack types such as Distributed Denial of Service (DDoS), Man-in-the-Middle and IP spoofing attacks are used to attack these layers. In this paper, we analyze most of the attack types that cause serious problems in computer networks and defense techniques to stop or prevent these attacks.

关键词： computer crime IP networks Servers Switches Ports (computers)

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Scalable QoS approach in a core internet network

Scalable QoS approach in a core internet network

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computer Science Society (SCCC) International Conference Chilean FLAGGED

作者： C.J. Barenco Abbas J.G. Villalba Department Electric Engineering University of Brasilia Brasilia Brazil Department Computer Systems and Programming Complutense University of Madrid Madrid Spain

QoS solutions for Core Internet Networks require that we pay special attention to scalability, as they deal with a lot of flows and demand many resources. In this paper, integrated solutions from the physical layer (SDH/SONET and DTM) to the IP layer (IntServ and DiffServ) are analysed and proposed, concentrating not only on scalability, but also on QoS guarantees.

关键词： Intelligent networks IP networks Quality of service Synchronous digital hierarchy Scalability SONET Diffserv networks Bandwidth Asynchronous transfer mode Circuits

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Universal mitigation of NBTI-induced aging by design randomization

Universal mitigation of NBTI-induced aging by design randomi...

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East-West Design & Test Symposium (EWDTS)

作者： Maksim Jenihhin Alexander Kamkin Zainalabedin Navabi Somayeh Sadeghi-Kohan Department of Computer Engineering Tallinn University of Technology ESTONIA Institute for System Programming of the Russian Academy of Sciences (ISP RAS) RUSSIA Department of Electrical and Computer Engineering University of Tehran IRAN

ISBN: (纸本)9781509006946

In this paper we propose to think out of the box and discuss an approach for universal mitigation of Negative Bias Temperature Instability (NBTI) induced aging untied from the limitations of its modelling. The cost-effective approach exploits a simple property of a randomized design, i.e., the equalized signal probability and switching activity at gate inputs. The techniques considered for structural design randomization involve both the hardware architecture and embedded software layers. Ultimately, the proposed approach aims at extending the reliable lifetime of nanoelectronic systems.

关键词： Negative bias temperature instability Thermal variables control Logic gates Delays Registers Aging Degradation

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