Artificial Life and Robotics最新文献_第6页

Smart house system for safety of elderly living alone based on camera and PIR sensor 基于摄像头和 PIR 传感器的独居老人安全智能家居系统

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Artificial Life and Robotics Pub Date : 2024-01-09 DOI: 10.1007/s10015-023-00932-5

Yichen Wang, Yutian Wu, Shuwei Zhang, Harutoshi Ogai, Katsumi Hirai, Shigeyuki Tateno

引用次数: 0

Collective behaviors emerging from chases and escapes 追逐和逃跑中出现的集体行为

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Artificial Life and Robotics Pub Date : 2024-01-08 DOI: 10.1007/s10015-023-00928-1

Toru Ohira

{"title":"Collective behaviors emerging from chases and escapes","authors":"Toru Ohira","doi":"10.1007/s10015-023-00928-1","DOIUrl":"10.1007/s10015-023-00928-1","url":null,"abstract":"<div><p>“Chases and Escapes” is a classical mathematical problem. Recently, we proposed a simple extension, called “Group Chase and Escape,” where one group chases another. This extension bridges the traditional problem with the current interest in studying collective motion among animals, insects, and cars. In this presentation, I will introduce our fundamental model and explore its intricate emergent behaviors. In our model, each chaser approaches the nearest escapee, while each escapee moves away from its closest chaser. Interestingly, despite the absence of communication within each group, we observe the formation of aggregate patterns. Furthermore, the effectiveness of capture varies as we adjust the ratio of chasers to escapees, which can be attributed to a group effect. I will delve into how these behaviors manifest in relation to various parameters, such as densities. Moreover, we have explored different expansions of this basic model. First, we introduced fluctuations, where players now make errors in their step directions with a certain probability. We found that a moderate level of fluctuations improves the efficiency of catching. Second, we incorporated a delay in the chasers’ reactions to catch their targets. This distance-dependent reaction delay can lead to highly complex behaviors. Additionally, I will provide an overview of other groups’ extensions of the model and the latest developments in this field.</p></div>","PeriodicalId":46050,"journal":{"name":"Artificial Life and Robotics","volume":"29 1","pages":"1 - 11"},"PeriodicalIF":0.8,"publicationDate":"2024-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139447291","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}

引用次数: 0

Artificial intelligence in pathological anatomy: digitization of the calculation of the proliferation index (Ki-67) in breast carcinoma 病理解剖中的人工智能：乳腺癌增殖指数（Ki-67）计算数字化

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Artificial Life and Robotics Pub Date : 2024-01-06 DOI: 10.1007/s10015-023-00923-6

Elmehdi Aniq, Mohamed Chakraoui, Naoual Mouhni

{"title":"Artificial intelligence in pathological anatomy: digitization of the calculation of the proliferation index (Ki-67) in breast carcinoma","authors":"Elmehdi Aniq, Mohamed Chakraoui, Naoual Mouhni","doi":"10.1007/s10015-023-00923-6","DOIUrl":"10.1007/s10015-023-00923-6","url":null,"abstract":"<div><p>Ki-67 is a non-histone nuclear protein located in the nuclear cortex and is one of the essential biomarkers used to provide the proliferative status of cancer cells. Because of the variability in color, morphology and intensity of the cell nuclei, Ki-67 is sensitive to chemotherapy and radiation therapy. The proliferation index is usually calculated visually by professional pathologists who assess the total percentage of positive (labeled) cells. This semi-quantitative counting can be the source of some inter- and intra-observer variability and is time-consuming. These factors open up a new field of scientific and technological research and development. Artificial intelligence is attracting attention to solve these problems. Our solution is based on deep learning to calculate the percentage of cells labeled by the ki-67 protein. The tumor area with <span>(times)</span>40 magnification is given by the pathologist to segment different types of positive, negative or TIL (tumor infiltrating lymphocytes) cells. The calculation of the percentage comes after cells counting using classical image processing techniques. To give the model our satisfaction, we made a comparison with other datasets of the test and we compared it with the diagnosis of pathologists. Despite the error of our model, KiNet outperforms the best performing models to date in terms of average error measurement.</p></div>","PeriodicalId":46050,"journal":{"name":"Artificial Life and Robotics","volume":"29 1","pages":"177 - 186"},"PeriodicalIF":0.8,"publicationDate":"2024-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139380865","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}

引用次数: 0

Extraction of actuator forces and displacements involved in human walking and running and estimation of time-series neural signals by inverse dynamics simulation 通过反动力学模拟提取人类行走和跑步过程中的致动器作用力和位移，并估算时间序列神经信号

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Artificial Life and Robotics Pub Date : 2024-01-05 DOI: 10.1007/s10015-023-00921-8

Motokuni Ishibashi, Kenji Takeda, Kentaro Yamazaki, Takumi Ishihama, Tatsumi Goto, Shuxin Lyu, Minami Kaneko, Fumio Uchikoba

{"title":"Extraction of actuator forces and displacements involved in human walking and running and estimation of time-series neural signals by inverse dynamics simulation","authors":"Motokuni Ishibashi, Kenji Takeda, Kentaro Yamazaki, Takumi Ishihama, Tatsumi Goto, Shuxin Lyu, Minami Kaneko, Fumio Uchikoba","doi":"10.1007/s10015-023-00921-8","DOIUrl":"10.1007/s10015-023-00921-8","url":null,"abstract":"<div><p>While conventional biped robots are arithmetically controlled by CPU and driven by servo motors, humans locomote by contraction of muscles that receive electrical signals from the spinal cord. For real-time control without numerical calculations, we proposed a method that analog electronic circuits mimic neural circuits and output electrical signals. Gait control of a musculoskeletal robot requires this circuit and muscle-mimicking actuators. In this paper, we extracted the muscle displacements and generated forces involved in human walking and running with inverse dynamic simulation. The generated force and electromyogram were compared, and the main moving muscles were selected. The neural signals input to the muscles were derived by dividing the displacement graph into 6 sections and classifying the muscle groups by focusing on the maximum contraction. Also, we compared the generated forces, displacements, and the neural signals with physiological findings and discussed the similarity between the living body and the musculoskeletal model.</p></div>","PeriodicalId":46050,"journal":{"name":"Artificial Life and Robotics","volume":"29 1","pages":"81 - 93"},"PeriodicalIF":0.8,"publicationDate":"2024-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139383292","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}

引用次数: 0

Light-weight color image conversion like pencil drawing for high-level synthesized hardware 轻量级彩色图像转换，如高级合成硬件的铅笔画

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Artificial Life and Robotics Pub Date : 2023-12-22 DOI: 10.1007/s10015-023-00927-2

Honoka Tani, Akira Yamawaki

{"title":"Light-weight color image conversion like pencil drawing for high-level synthesized hardware","authors":"Honoka Tani, Akira Yamawaki","doi":"10.1007/s10015-023-00927-2","DOIUrl":"10.1007/s10015-023-00927-2","url":null,"abstract":"<div><p>We are developing pencil-drawing-style image conversion software suitable for high-level synthesis, HLS, technology that automatically converts software into hardware. The pencil-drawing-style image conversion consists of the former and latter processes. The former generates the images expressing edge strengths and their directions. The latter process convolves the line segment corresponding to the edge strength with its direction. As hardware-oriented software description, the medium data across the former and latter processes are optimized. In addition, the former and latter processes are overlapped between the FIFO buffer passing the medium data. The obtained image is still a gray-scaled image. To make it support the color image, this paper inserts a process compositing the original color image with the grayed pencil-drawing-style image to not intervene in the pipelined data path behavior. As a result, an HLS tool used is expected to generate a hardware module with the ideal pipelined data path by one output data/one clock. The experimental results show that the colorization hardware had no significant performance degradation issues for circuit size, run time, or power efficiency compared to the pencil drawing hardware with grayscale. Compared with the software execution, our hardware supporting color image can achieve 4.2 times the performance improvement and 130 times power efficiency.</p></div>","PeriodicalId":46050,"journal":{"name":"Artificial Life and Robotics","volume":"29 1","pages":"29 - 36"},"PeriodicalIF":0.8,"publicationDate":"2023-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138945048","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}

引用次数: 0

Robots traveling on muddy terrain for sampling bottom sediment in tidal flats 在泥泞地形上行驶的机器人在潮汐滩涂采集底泥样本

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Artificial Life and Robotics Pub Date : 2023-12-19 DOI: 10.1007/s10015-023-00920-9

Masatoshi Hatano, Manami Senzaki, Hidetoshi Kawasaki, Chiaki Takasu, Masaki Yamazaki, Yukiyoshi Hoshigami

引用次数: 0

TransUNet with unified focal loss for class-imbalanced semantic segmentation 具有统一焦点损失的 TransUNet，用于类别不平衡语义分割

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Artificial Life and Robotics Pub Date : 2023-12-19 DOI: 10.1007/s10015-023-00919-2

Kento Wakamatsu, Satoshi Ono

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Performance evaluation of schedule plan for cuckoo search applied to the neural network controller of a rotary crane 应用于旋转式起重机神经网络控制器的布谷鸟搜索进度计划性能评估

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Artificial Life and Robotics Pub Date : 2023-11-29 DOI: 10.1007/s10015-023-00918-3

Rui Kinjo, Kunihiko Nakazono, Naoki Oshiro, Hiroshi Kinjo

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A highly scalable Self-organizing Map accelerator on FPGA and its performance evaluation FPGA 上高度可扩展的自组织映射加速器及其性能评估

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Artificial Life and Robotics Pub Date : 2023-11-22 DOI: 10.1007/s10015-023-00916-5

Yusuke Yamagiwa, Yuki Kawahara, Kenji Kanazawa, Moritoshi Yasunaga

引用次数: 0

Pig sorting system with three exits that incorporates an RGB-D sensor for constant use during fattening 生猪分拣系统有三个出口，配有 RGB-D 传感器，可在育肥期间持续使用

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Artificial Life and Robotics Pub Date : 2023-11-18 DOI: 10.1007/s10015-023-00917-4

Kikuhito Kawasue, Khin Dagon Win, Kumiko Yoshida, Geunho Lee

{"title":"Pig sorting system with three exits that incorporates an RGB-D sensor for constant use during fattening","authors":"Kikuhito Kawasue, Khin Dagon Win, Kumiko Yoshida, Geunho Lee","doi":"10.1007/s10015-023-00917-4","DOIUrl":"10.1007/s10015-023-00917-4","url":null,"abstract":"<div><p>In pig production, the number of pigs raised on each farm is increasing, but the population of workers involved in pig production is decreasing, so lighter labor is expected. On the other hand, it is also important to improve pig grading and profitability. Weight is a major criterion for pig grading. Too heavy or too light will decrease profits, and pigs need to be shipped at the appropriate weight. However, since each pig weighs more than 100 kg, weighing each pig is very labor-intensive. In large farms, more than 50 pigs are kept in a single piggery, and they are shipped together at the same time, after determining the day when they have reached the proper weight for shipment. In order to improve profitability, it is important to control the growth of pigs in a piggery so that they grow uniformly and to determine the appropriate shipping date. In this study, a prototype system was developed to automatically measure daily weight distribution. If the weight distribution in the piggery is known, appropriate shipping dates can be determined. This paper reports the results of a valid experiment using the developed system.</p></div>","PeriodicalId":46050,"journal":{"name":"Artificial Life and Robotics","volume":"29 1","pages":"37 - 42"},"PeriodicalIF":0.8,"publicationDate":"2023-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139261269","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}

引用次数: 0