{"title":"Digital Money Transfer Application Optimized for Religious Contributions","authors":"Ziran Fan","doi":"10.1109/airc56195.2022.9836976","DOIUrl":"https://doi.org/10.1109/airc56195.2022.9836976","url":null,"abstract":"This paper attempts to design a digital money transfer application optimized for religious contributions in Christian churches. Today, the spread of electronic payments advances the use of money transfers between individual users. However, despite the convenience of the simple operation of money transfer by one click, the awareness of handling money, in other words, the sense of “the value of money,” is declining. In addition, the misuse is pointed out as the recipients embezzle the money offered with good intentions for personal purposes. In this paper, we focus on these issues and propose a digital money transfer application that meets the needs of current people's information life by devising a method for specifying the amount of money reflected actual movements and a function promoting the consensual validation among users in the money transfer process.","PeriodicalId":147463,"journal":{"name":"2022 3rd International Conference on Artificial Intelligence, Robotics and Control (AIRC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126226788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Innovation of Library Service by Artificial Intelligence Robot","authors":"Jingjing Li","doi":"10.1109/airc56195.2022.9836444","DOIUrl":"https://doi.org/10.1109/airc56195.2022.9836444","url":null,"abstract":"The introduction of Intelligent Robot Service is the direction of library development. The application of intelligent robot technology will greatly improve the library service efficiency and service level. At present, there are still some problems in library service of intelligent robot, such as the core technology needs to be mastered skillfully, the level of intelligent service is not enough, and the construction of Corpus needs to be improved. In the era of library intelligent service, intelligent robot should pay more attention to the application of multi-purpose intelligent robot system in library, the fusion of Intelligent Library and robot technology under the background of Internet of things, and the development trend of intelligent robot providing various care services for different readers. The introduction of intelligent robot technology will greatly improve the efficiency of books on and off shelves, and expand the space-time limit of reference service. In the process of building the intelligent library, the infrastructure and service of the traditional library are reconstructed by using the automatic book access robot and the Consulting robot system, it can be concluded that Book Auto-access Technology and IM consultation system are most suitable for library management system, and Book auto-access robot technology can solve the bottleneck problem of library intelligent robot technology, promoting the transformation and upgrading of libraries to smart libraries.","PeriodicalId":147463,"journal":{"name":"2022 3rd International Conference on Artificial Intelligence, Robotics and Control (AIRC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122547776","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Fast $k-text{NN}$ Algorithm Based on a Fixed Grid Method","authors":"G. Jan, Kuan-Lin Su, Hui-Ching Hsieh, C. Luo","doi":"10.1109/airc56195.2022.9836452","DOIUrl":"https://doi.org/10.1109/airc56195.2022.9836452","url":null,"abstract":"$k-text{Nearest}$ Neighbor $(k-text{NN})$ is a well-known instance-based learning algorithm; widely used in pattern recognition. A $k-text{NN}$ classifier can generate highly accurate predictions if provided with sufficient training instances. Thus, it plays a pivotal role in many fields. However, though its accuracy can improve with more data, the need for computational resources increases as well. In this paper, we propose a novel approach which pre-partitions instance space into smaller cells in order to reduce computational cost and greatly reduce the time complexity. Assume every instance is mapped to a point in the $d-text{dimensional}$ Euclidean space and a training set $D$ contains $n$ training instances. Given a query instance, the brute force $k-text{NN}$ algorithm has the $O(nd)$ time complexity for predicting the class of a query instance. This algorithm can improve the time complexity.","PeriodicalId":147463,"journal":{"name":"2022 3rd International Conference on Artificial Intelligence, Robotics and Control (AIRC)","volume":"457 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116158705","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Free Path Planner Based on Windmill Decomposition","authors":"G. Jan, C. Luo, M. Lee, Hui-Ching Hsieh","doi":"10.1109/airc56195.2022.9836984","DOIUrl":"https://doi.org/10.1109/airc56195.2022.9836984","url":null,"abstract":"In this article, a new obstacle-avoidance path planner is proposed based on the windmill decomposition to find the shortest path in the Euclidean plane with rectangle obstacles. Using the Dijkstra's shortest path algorithm in a connected graph, this study constructs a windmill decomposition of the free space (obstacle avoidance space), and uses their centroids to plan the shortest free path from the start point to the end point. The advantage of this research is that, compared with other traditional algorithms, the time complexity of this algorithm is $O(ntext{log} n)$, and the free path for obstacle avoidance can be planned in a short time, where $n$ is the number of obstacles.","PeriodicalId":147463,"journal":{"name":"2022 3rd International Conference on Artificial Intelligence, Robotics and Control (AIRC)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125712526","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Design and Realization of the Check-in System Based on Face Recognition","authors":"Yanchao Liu","doi":"10.1109/airc56195.2022.9836447","DOIUrl":"https://doi.org/10.1109/airc56195.2022.9836447","url":null,"abstract":"With the rapid development of the computer technology and artificial intelligence, developing the classroom check-in system based on face recognition not only can avoid allograph in class by other students but also strongly can enhance classroom attendance efficiency and save classroom time occupied by attendance, showing stronger usability and operability. There is no doubt that such an emerging way of attendance definitely will be a popular choice.","PeriodicalId":147463,"journal":{"name":"2022 3rd International Conference on Artificial Intelligence, Robotics and Control (AIRC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134316570","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Elvis Orlando Tomas Silvestre, Jhon Stalin Figueroa Bados, J. Villanueva, Carlos Coaquira Rojo, Nabilt Jill Moggiano Aburto
{"title":"Design of a Fuzzy Controller for the Calculation of Atmospheric Comfort in a Greenhouse","authors":"Elvis Orlando Tomas Silvestre, Jhon Stalin Figueroa Bados, J. Villanueva, Carlos Coaquira Rojo, Nabilt Jill Moggiano Aburto","doi":"10.1109/airc56195.2022.9836977","DOIUrl":"https://doi.org/10.1109/airc56195.2022.9836977","url":null,"abstract":"This article describes the design of a fuzzy controller to monitor atmospheric comfort in a greenhouse. Well-being inside a greenhouse is reflected in two significant parameters: temperature, which ranges between 20°C and 25°C, and relative humidity, which should be around 50%. For the monitoring and control of the parameters similar above, the optimal formation of the microclimate in a greenhouse is necessary. Relative humidity and temperature calculation was performed, which helps to predict comfort by implementing a soft sensor using fuzzy logic. The objective of this research is to demonstrate the effectiveness for the automation and monitoring of artificial intelligence processes, in this case «fuzzy logic», which is based on the user experience. In addition, in this article basic electronics, programming and intermediate level knowledge in fuzzy logic were applied to obtain effective parameters for the implementation of a greenhouse control system.","PeriodicalId":147463,"journal":{"name":"2022 3rd International Conference on Artificial Intelligence, Robotics and Control (AIRC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123081598","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Autonomous Outdoor Building Navigation Using a Single Monocular Camera","authors":"J. Seng, Laura H. McGann","doi":"10.1109/airc56195.2022.9836985","DOIUrl":"https://doi.org/10.1109/airc56195.2022.9836985","url":null,"abstract":"In this work, we describe an autonomous robot system that navigates an outdoor building environment using color monocular images from a single camera. This system is able to avoid dynamic obstacles, such as pedestrians, and recognize its location in terms of which hallway it is located in. Using a multi-task convolutional neural network, the system processes images in real-time and produces predictions for 4 tasks: topological robot localization, driveable space classification, intersection detection, and hallway goal prediction. These predictions allow the robot to determine if an area is free of obstacles and allows the system to plan a safe, driveable path. We outline how training data is collected for each of the tasks, describe the overall neural network architecture, and cover what each network output head produces. We find the system can robustly traverse a limited outdoor building scenario at various times of day and lighting conditions.","PeriodicalId":147463,"journal":{"name":"2022 3rd International Conference on Artificial Intelligence, Robotics and Control (AIRC)","volume":"225 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116385292","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"2022 3rd International Conference on Artificial Intelligence, Robotics and Control (AIRC 2022)","authors":"","doi":"10.1109/airc56195.2022.9836451","DOIUrl":"https://doi.org/10.1109/airc56195.2022.9836451","url":null,"abstract":"","PeriodicalId":147463,"journal":{"name":"2022 3rd International Conference on Artificial Intelligence, Robotics and Control (AIRC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127371685","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Meta-heuristic Search Algorithms for Solving the Economic Load Dispatch Problem","authors":"A. Sheta, Alaa Ali, A. Baareh, S. Aljahdali","doi":"10.1109/airc56195.2022.9836450","DOIUrl":"https://doi.org/10.1109/airc56195.2022.9836450","url":null,"abstract":"Economic load dispatch (ELD) is a challenge optimization problem to minimize the total cost of the thermally generated power that satisfies a set of equality and inequality constraints. We need to maximize the power network load under several operational constraints to solve this problem. Meanwhile, we need to minimize the cost of power generation and minimize the loss in the network transmission. Traditional optimization methods were used to solve such problems as linear programming. Meta-heuristic search algorithms have shown encouraging performance in solving various real-life engineering problems. This paper attempts to provide a comprehensive comparison between nine meta-heuristic search algorithms, including Genetic Algorithms (GAs), Particle Swarm Optimization (PSO), Crow Search Algorithm (CSA), Differential Evolution (DE), Salp Swarm Algorithm (SSA), Harmony Search (HS), Sine Cosine Algorithm (SCA), Multi-Verse Optimizer (MVO), and Moth-Flame Optimization Algorithm (MFO) for solving the economic load dispatch problem. Our developed results demonstrated that meta-heuristics search algorithms (i.e., CSA and DE) offer the optimal power set for each power station. These computed power fulfill the supply needs and maintain both minimum power costs and power losses in power transmission.","PeriodicalId":147463,"journal":{"name":"2022 3rd International Conference on Artificial Intelligence, Robotics and Control (AIRC)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133342490","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Composed Physics- and Data-driven System Identification for Non-autonomous Systems in Control Engineering","authors":"Ricarda-Samantha Götte, Julia Timmermann","doi":"10.1109/AIRC56195.2022.9836982","DOIUrl":"https://doi.org/10.1109/AIRC56195.2022.9836982","url":null,"abstract":"In control design most control strategies are model-based and require accurate models to be applied successfully. Due to simplifications and the model-reality-gap physics-derived models frequently exhibit deviations from real-world-systems. Likewise, purely data-driven methods often do not generalise well enough and may violate physical laws. Recently Physics-Guided Neural Networks (PGNN) and physics-inspired loss functions separately have shown promising results to conquer these drawbacks. In this contribution we extend existing methods towards the identification of non-autonomous systems and propose a combined approach PGNN-L, which uses a PGNN and a physics-inspired loss term (-L) to successfully identify the system's dynamics, while maintaining the consistency with physical laws. The proposed method is demonstrated on two real-world nonlinear systems and outperforms existing techniques regarding complexity and reliability.","PeriodicalId":147463,"journal":{"name":"2022 3rd International Conference on Artificial Intelligence, Robotics and Control (AIRC)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123404653","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}