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intelligent algorithms in Orthodontic Diagnostics and Planning

INFORMATIONEN AUS ORTHODONTIE UND KIEFERORTHOPAEDIE 2018年第3期50卷 191-197页

作者： Kuehnert, Tom Krey, Karl-Friedrich Image Instruments GmbH Niederwaldstr 3 D-09123 Chemnitz Germany Zentrum Zahn Mund & Kieferheilkunde Poliklin Kieferorthopadie Greifswald Germany

Zusammenfassung Algorithmen und Losungsstrategien aus dem Forschungsgebiet der Kunstlichen Intelligenz (KI) spielen eine wichtige Rolle in der zunehmend digitalen Verarbeitung in der modernen Kieferorthopadie. Im Artikel wird diskutiert, inwiefern die kieferorthopadische Behandlung von aktuellen Entwicklungen profitieren kann und wo Grenzen und Gefahren gesehen werden. Anhand von 3 Beispielen zur Verwendung digitaler Modelle in der Imaging-Software OnyxCeph(3) (Software OnyxCeph (3TM) , Image Instruments GmbH, Chemnitz. *** ) wird abgeleitet, welche Erwartungen an computergestutzte Diagnostik und Behandlung realistisch sind. Ziel des Artikels ist, dem Behandler Einblicke in den softwaretechnologischen Hintergrund zu geben, mit denen eine Erwartungshaltung an die KI begrundet werden kann, die sowohl patientengerecht als auch zukunftsorientiert ist. Abstract algorithms and approaches from the field of artificial intelligence play an important role in the increasingly digital workflows of modern orthodontics. This article discusses in which way the orthodontic treatment can benefit from current developments in this field and where to consider limitations and possible risks. Based on three examples of digital model processing from the imaging software OnyxCeph(3) (Software OnyxCeph (3TM) , Image Instruments GmbH, Chemnitz. *** ), we derive which expectations for computer-aided diagnostics and treatment are reasonable. Intention of the article is to inform the reader from a software engineering point of view, so that an anticipation of the capabilities of AI can be formed which fits both patient needs and future developments.

关键词： intelligent algorithms orthodontics virtual setup

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Research on the Translation of Ganpo Culture-loaded Words Based on intelligent algorithms

Research on the Translation of Ganpo Culture-loaded Words Ba...

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2019 4th International Workshop on Materials Engineering and Computer Sciences(IWMECS 2019)

作者： Xin Yu Nanchang Business College of Jiangxi Agricultural University

The translation of culture-loaded words in Ganpo has always been a difficult problem in translation circles,and there has been a lack of scientific and normative reference in the selection of translation methods and *** order to promote Ganpo culture to the world,the author should try his best to use intelligent algorithm in translation of Ganpo culture-loaded *** also makes an analysis of the cultural factors affecting the translation of culture-loaded *** research shows that the main contradictions in the choice of translation techniques of culture-loaded words must be grasped in order to get the translation of culture-loaded words out of the labyrinth of "rule of man" and onto the track of "rule of law".At the same time,it is pointed out that the translator’s cultural background knowledge plays an important role in the accurate translation of such words.

关键词： intelligent algorithms Ganpo Culture Load Word Translation

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MYOCARDIAL INFARCTION DETECTION USING intelligent algorithms

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NEURAL NETWORK WORLD 2016年第1期26卷 91-110页

作者： Seenivasagam, V. Chitra, R. Natl Engn Coll Dept Comp Sci & Engn Kovilpatti India Noorul Islam Ctr Higher Educ Dept Comp Sci & Engn Kanyakumari Tamil Nadu India

Myocardial Infarction (MI) also known as heart attack is one of the most dangerous cardiovascular diseases. Accurate early prediction can effectively reduce the mortality rate caused by MI. The early stages of MI may only have subtle indications which can be varied in variable risk factors and making diagnosis difficult even for experienced cardiologists. In this paper the computer aided detection system is proposed to find the risk level of MI using the supervised classifier. The MI prediction system is developed using Feed Forward Neural Network (FFNN), Cascade Correlation Neural Network (CNN), and Support Vector Machine (SVM). Genetic Optimized Neural Network (GAANN), Particle Swarm Optimized Neural Network (PSONN) and also the performance of the Computer Aided Detection system is analyzed using various performance metrics.

关键词： intelligent algorithms risk factors myocardial infarction feed forward neural network computer aided detection

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Investigation of trunk muscle activities during lifting using a multi-objective optimization-based model and intelligent optimization algorithms

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MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING 2016年第2-3期54卷 431-440页

作者： Ghiasi, Mohammad Sadegh Arjmand, Navid Boroushaki, Mehrdad Farahmand, Farzam Sharif Univ Technol Dept Mech Engn Azadi Ave Tehran Iran Univ Tehran Med Sci RCBTR Tehran Iran Sharif Univ Technol Energy Engn Dept Tehran Iran

A six-degree-of-freedom musculoskeletal model of the lumbar spine was developed to predict the activity of trunk muscles during light, moderate and heavy lifting tasks in standing posture. The model was formulated into a multi-objective optimization problem, minimizing the sum of the cubed muscle stresses and maximizing the spinal stability index. Two intelligent optimization algorithms, i.e., the vector evaluated particle swarm optimization (VEPSO) and nondominated sorting genetic algorithm (NSGA), were employed to solve the optimization problem. The optimal solution for each task was then found in the way that the corresponding in vivo intradiscal pressure could be reproduced. Results indicated that both algorithms predicted co-activity in the antagonistic abdominal muscles, as well as an increase in the stability index when going from the light to the heavy task. For all of the light, moderate and heavy tasks, the muscles' activities predictions of the VEPSO and the NSGA were generally consistent and in the same order of the in vivo electromyography data. The proposed methodology is thought to provide improved estimations for muscle activities by considering the spinal stability and incorporating the in vivo intradiscal pressure data.

关键词： Lumbar spine Kinetic redundancy Optimization intelligent algorithms VESPO NSGA

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Applying intelligent Optimization algorithms for Evaluation of Transformer Black Box Model 6th

Applying Intelligent Optimization Algorithms for Evaluation ...

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6th International Workshop on Soft Computing Applications (SOFA)

作者： Bigdeli, Mehdi Valii, Mohammad Azizian, Davood Islamic Azad Univ Zanjan Branch Dept Elect Engn Zanjan Iran Islamic Azad Univ Abhar Branch Dept Elect Engn Abhar Iran

ISBN: (纸本)9783319184166;9783319184159

To study the behavior of the transformers and the effects of these devices on power network performance in transient states, various models with different objectives are presented. One of the most important objectives is to investigate the overvoltages made in transformer as a result of lightning waves. For this reason, a black box model applied in the analysis of transient state of the transformer high frequency (up to 1.2 MHz). As a new work, the Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Imperialist Competitive Algorithm (ICA) are proposed in the estimation of parameters of black box model using the necessary measurements on three-phase transformer 2.5 MVA and 6300/420 V and then compared by analytical methods.

关键词： Transformer Transient analysis Black box model intelligent algorithms

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The Assessment Strategy for intelligent algorithms Using Improved Osculating Value Method 12

The Assessment Strategy for Intelligent Algorithms Using Imp...

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12th IEEE Int Conf Ubiquitous Intelligence & Comp/12th IEEE Int Conf Autonom & Trusted Comp/15th IEEE Int Conf Scalable Comp & Commun & Associated Workshops/IEEE Int Conf Cloud & Big Data Comp/IEEE Int Conf Internet People

作者： Dong, Xueshi Dong, Wenyong Wang, Yufeng Wuhan Univ Comp Sch Wuhan 430072 Hubei Peoples R China

ISBN: (纸本)9781467372114

During the past decades, dozens of intelligent algorithms (IAs), such as genetic algorithm (GA), ant colony algorithm (ACA), particle swarm optimization (PSO), emerge to solve complex optimal problems. But it is still an open problem to impartially and effectively evaluate their performances. A new assessment strategy for IAs based on improved osculating value method is firstly proposed to provide a solution for this problem. The idea of the osculating value method is that evaluation index is divided into positive and reverse index, then find out the most advantage and worst points for the evaluation index, the distance is calculated for each evaluation unit and the advantage and the worst points, the transformed distance as comprehensive index reflecting advantage and disadvantage of each sample is called close value, according to the close value, finally determine the order of each evaluation unit. The paper takes the GA and ACA for solving TSP as example, chooses solving time, algorithm complexity, solution accuracy and coding complexity as evaluation index system, it can assess algorithms from many perspectives, and avoid the disadvantage of traditional single index, by computing and analysis in certain experiment condition, it shows that ACA for TSP is better than GA.

关键词： improved osculating value method intelligent algorithms assessment method TSP

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intelligent Algorithm Big Data Analysis in Personalized Film and Television Recommendation algorithms

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Procedia Computer Science 2024年 247卷 866-873页

作者： Lin Lyu Chuanming Ma School of Media & Communication Changchun Humanities and Sciences College Changchun 130117 Jilin China School of Creative Industry Jilin Animation Institute Changchun 130012 Jilin China Department of Integrative Arts Silla University Busan 46958 South Korea

Many people can't receive accurate push according to their personal preferences when watching movies and TV (television) plays like Tiktok, and the recommendation accuracy of the existing movie and TV recommendation systems in the market is not high. This article comprehensively analyzed the relevant theories and methods of intelligent algorithms and big data analysis, and explored their specific applications in personalized film and television recommendations. Emphasis was placed on recommendation algorithms based on Generative Adversarial Networks (GANs), and big data analysis techniques such as user behavior mining and association analysis were introduced. This research found that the algorithm achieved the highest accuracy of 99% in personalized film and television recommendation, and could provide more accurate and personalized recommendation results by learning user behavior and film and television content characteristics. Big data analysis technology can explore user interests and preferences, discover associations and similarities between users, and build more accurate and personalized recommendation models.

关键词： Personalized Film and Television Recommendation intelligent algorithms Adversarial Generative Network Singular Value Decomposition

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On the Control of Planar Cable-driven Parallel Robot Via Classic Controllers and Tuning with intelligent algorithms

On the Control of Planar Cable-driven Parallel Robot Via Cla...

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RSI/ISM International Conference on Robotics and Mechatronics

作者： Hassan Bayani Rasoul Sadeghian Mehdi Tale Masouleh Ahmad Kalhor Department of Mechatronics Engineering Qazvin Branch Islamic Azad University Qazvin Iran Human and Robot Interaction Laboratory Faculty of New Sciences and Technologies University of Tehran Iran

ISBN: (纸本)9781467372350

This paper presents different classical control approaches for planar cable-driven parallel robots. For the proposed robot, PD and PID controllers are designed based on the concept of pole placement method. In order to optimize and tune the controller parameters of planar cable-driven parallel robot, Differential Evaluation, Particle Swarm Optimization and Genetic algorithms are applied as optimization techniques. The simulation results of Genetic algorithm, Particle Swarm Optimization and Differential Evaluation algorithms reveal that the output results of tunes controllers with Particle Swarm Optimization and Differential Evaluation algorithms are more similar than Genetic algorithm and the processing time of Differential Evaluation is less than Genetic algorithm and Particle Swarm Optimization. Moreover, performance of the Particle Swarm Optimization and Differential Evaluation algorithms are better than Genetic algorithm for tuning the controllers parameters.

关键词： Classic Controllers Tuning intelligent algorithms

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Application of digital entertainment experience based on intelligent interactive system in personalized fitness training system

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ENTERTAINMENT COMPUTING 2025年 52卷

作者： Geng, Shuai Sichuan Minzu Coll Coll Phys Educ Kangding 626001 Sichuan Peoples R China

The application of digital media in fitness environments can improve the entertainment of the fitness process, allowing users to watch entertainment videos while engaging in fitness activities. At the same time, we can add relevant game elements to the fitness process, such as playing tennis through gesture movements, thereby increasing user interest in fitness participation. Therefore, this article has developed a personalized fitness training system using optical sensors and intelligent algorithms, and conducted testing experiments on blood oxygen saturation under two sports states: running and cycling. This article analyzes the intelligent optimization algorithm for optical signals. This algorithm has strong adaptability and intelligence level, and can directly learn and adjust the model based on the characteristics of the data. The automation performance of the intelligent algorithm can effectively reduce labor costs and improve efficiency. Finally, this article provides a basic analysis and testing of the personalized fitness training system. Through the obtained data, personalized guidance is provided to users, helping people make fitness more scientific and intelligent, and improving fitness efficiency.

关键词： Optical sensors Dynamic spectroscopy intelligent algorithms Personalized fitness training

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Research Progress on Key Technologies of Modularized intelligent Reconnaissance and Early Warning Satellites

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JOURNAL OF AERONAUTICS ASTRONAUTICS AND AVIATION 2025年第1期57卷 55-79页

作者： Gao, Mingliang Yang, Jingyu Zhang, Faming He, Jingjie Ling, Yunxiao Kuai, Enze Shenyang Aerosp Univ Space Solar Power Stn Lab Intelligent Aircraft Syst Theory & Technol Lab 37Daoyi South St Shenyang 110136 Peoples R China Shenyang Goddard Intelligent Equipment Technol Co Res & Dev Dept Shenyang 110001 Peoples R China Shenyang Aircraft Design & Res Inst 40Tawan St Shenyang 110087 Peoples R China

The origin of reconnaissance satellites can be traced back to the last century. After decades of development, reconnaissance satellites have a variety of payloads, mainly including optical reconnaissance payload, radar payload and electronic reconnaissance payload. According to the different functional requirements of each system of reconnaissance and early warning satellite, this paper mainly analyzes the key technology progress of payload, data processing and communication module. It includes the advantages and disadvantages of various payloads and existing capabilities, radar image processing algorithm, image classification and recognition algorithm, and image high-speed encryption scheme. In addition, some technologies and schemes of satellite attitude control, orbit control and thermal control are analyzed. Within this framework, the sensor module discusses the current applications and scenarios of payloads, which is the basis of satellite missions;The data processing module describes the imaging and recognition algorithm in detail, which is the key to the intelligence of reconnaissance satellite;The communication module is particularly noteworthy for its encryption method and technology, which will ensure that the data is protected from unauthorized access;The quality of the control effect will have an impact on the reconnaissance effect. This paper shows an example of high-precision control in the control module. It is undeniable that reconnaissance satellites will develop towards miniaturization, modularization, intelligence and constellation networking. In the space-based reconnaissance and early warning system, various types of satellites cooperate with each other to undertake the reconnaissance and early warning tasks to the ground.

关键词： Modularization reconnaissance satellites intelligent algorithms on-board SAR satellite optical payloads

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