Journal of Advanced Computational Intelligence and Intelligent Informatics最新文献

{"title":"Framework Design of an Edge Gateway System Supporting Multi-Protocol Standardized Access Detection","authors":"Xiaoyan Zhao, Rui Chen, Jianwei Li, Chunlei Li, Yan Chen, Tian-yao Zhang, Z. Zhang","doi":"10.20965/jaciii.2023.p0431","DOIUrl":"https://doi.org/10.20965/jaciii.2023.p0431","url":null,"abstract":"Recently, intelligent city construction has been promoted with the development of the Internet of things (IoT). The edge IoT gateway plays a critical role as the data aggregation core and processing center. Most existing gateways mainly solve heavy data storage and processing loads in cloud computing centers. There is less attention paid to multi-protocol data transmission and fusion. However, multiple products with different protocols in an IoT system require a flexible gateway compatible with multiple protocols. This paper proposes a multi-protocol edge gateway. The frame design was based on the actual demand for edge data acquisition. The gateway hardware platform used an RK3399 chip transplanted from the embedded operating system. It could support simultaneous multi-protocol access to ZigBee, LoRa, Bluetooth, and Wi-Fi. We combined the plug-and-play (PnP) hardware device access detection scheme with the system onboard interface driver to realize dynamic access detection and unified device management. In addition, the gateway also integrated data storage and access functions and partial edge computing functions. Finally, the experiment results verified that the multi-protocol edge gateway could meet the demand for data access and device control.","PeriodicalId":45921,"journal":{"name":"Journal of Advanced Computational Intelligence and Intelligent Informatics","volume":"11 1","pages":"431-437"},"PeriodicalIF":0.7,"publicationDate":"2023-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81959361","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":"Motion Analysis and Experiment of Multiple Magnetic Small-Scale Soft Robots","authors":"Pan Zhang, Wenjie Qin, Haoyun Ma, Jundong Wu, Yangwu Wang","doi":"10.20965/jaciii.2023.p0340","DOIUrl":"https://doi.org/10.20965/jaciii.2023.p0340","url":null,"abstract":"Since magnetic field is penetrating and harmless to human body, magnetic soft robots driven by magnetic field have great potential in medical fields. Thus, magnetic soft robots have attracted wide attention. However, the current researches mainly focus on the design of a single magnetic soft robot. Multiple magnetic soft robots also deserve to be studied due to their applications in collaborative operation. This paper presents a new design and fabrication method of multiple magnetic small-scale soft robots with different magnetic strength, size, and length-width ratio. The robots can be controlled to move in different motion modes and motion states under identical magnetic field. By analyzing their magnetic response property, which is the switching conditions between the two motion modes, and analyzing their states of the walking motion, two robots are selected from a batch of fabricated robots to carry out experiment. The results show that the two robots can move in different motion modes in the identical magnetic field.","PeriodicalId":45921,"journal":{"name":"Journal of Advanced Computational Intelligence and Intelligent Informatics","volume":"6 1","pages":"340-345"},"PeriodicalIF":0.7,"publicationDate":"2023-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90638720","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":"Study of Changes over Time in Breath Alcohol Concentration and Brain Function Induced by Low-Impact Drinking","authors":"Yuichi Sato, Kosuke Nagano, Fumiya Kinoshita, Hideaki Touyama","doi":"10.20965/jaciii.2023.p0438","DOIUrl":"https://doi.org/10.20965/jaciii.2023.p0438","url":null,"abstract":"Currently, Japan’s Road Traffic Act uses the breath alcohol concentration (BrAC), which is the concentration of alcohol in 1 L of breath, to enforce the law. However, 400 drunk driving accidents occurred in 2020 when the BrAC was below 0.15 mg/L, which is legal limit in Japan, and cognitive function may be impaired at this concentration. Therefore, we investigated the effects of alcohol consumption at levels below a BrAC of 0.15 mg/L on cognitive function and its change over time using P300, a type of event-related potential, and the concomitant negative variation (CNV). Beer with a 5% alcohol content was used as the drinking load, and the amount of alcohol consumed was determined using a derivation formula that varied according to the subject’s body weight. Electroencephalogram (EEG) measurements were obtained five times before drinking and 10, 30, 50, and 70 min after, and participants were given a go/no-go task to induce event-related potentials during the measurements. The BrAC was measured immediately before the EEG measurement was performed. The results revealed that the alcohol concentration in the exhaled breath increased significantly (p<0.05) at 10, 30, and 50 min after drinking compared with immediately before. In addition, the P300 latency was significantly prolonged (p<0.05), and the early and late CNV amplitudes were significantly increased (p<0.05) in the event-related potentials during these time periods. Moreover, no significant difference was observed in expiratory alcohol concentration at 70 min post-drinking, but significant changes in event-related potentials still occurred. Therefore, our results suggest that cognitive function is impaired in patients with low levels of alcohol consumption, when the BrAC is below the legal limit, and even when the BrAC recovers after the end of alcohol consumption.","PeriodicalId":45921,"journal":{"name":"Journal of Advanced Computational Intelligence and Intelligent Informatics","volume":"48 1","pages":"438-444"},"PeriodicalIF":0.7,"publicationDate":"2023-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84324518","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":"Dynamics Simulation of Biped Robot with Arch Structure and Toe Joint","authors":"Reona Nekomoto, A. Sekiguchi","doi":"10.20965/jaciii.2023.p0404","DOIUrl":"https://doi.org/10.20965/jaciii.2023.p0404","url":null,"abstract":"The arch structure of human foot absorbs impact and assists push-off movements during walking. The objective of this study is to introduce arch structures and toe joints into a biped robot, verify the effects, and devise walk control methods by dynamics simulation. We simulated the upright state and start of walking using Choreonoid. The results confirmed that the arch structure improved the impact absorption and stability in the anteroposterior direction. In addition, the arch structure could be expected to smooth the load transfer between the supporting legs during the step change.","PeriodicalId":45921,"journal":{"name":"Journal of Advanced Computational Intelligence and Intelligent Informatics","volume":"35 1","pages":"404-410"},"PeriodicalIF":0.7,"publicationDate":"2023-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76144845","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":"Particle Swarm Optimization-Based Convolutional Neural Network for Handwritten Chinese Character Recognition","authors":"Yongping Dan, Zhuo Li","doi":"10.20965/jaciii.2023.p0165","DOIUrl":"https://doi.org/10.20965/jaciii.2023.p0165","url":null,"abstract":"Recently, handwritten Chinese character recognition has become an important research field in computer vision. With the development of deep learning, convolutional neural networks (CNNs) have demonstrated excellent performance in computer vision. However, CNNs are typically designed manually, which requires extensive experience and may lead to redundant computations. To solve these problems, in this study, the particle swarm optimization approach is incorporated into the design of a CNN for handwritten Chinese character recognition, reducing redundant computations in the network. In this approach, each network architecture is represented by a particle, and the optimal network architecture is determined by continuously updating the particles until a global particle is identified. The experimental validation resulted in a network accuracy of 97.24% with only 1.43 million network parameters. Therefore, it is demonstrated that the proposed particle swarm optimization method can quickly and accurately find the optimal network architecture.","PeriodicalId":45921,"journal":{"name":"Journal of Advanced Computational Intelligence and Intelligent Informatics","volume":"32 1","pages":"165-172"},"PeriodicalIF":0.7,"publicationDate":"2023-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84246601","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":"Design of Fast Green Distribution Route Based on Greedy Algorithm","authors":"Xiuwu Nie, Kaihui Zhang","doi":"10.20965/jaciii.2023.p0143","DOIUrl":"https://doi.org/10.20965/jaciii.2023.p0143","url":null,"abstract":"This study focused on the fast vehicle route optimization issue with carbon emission and time window constraints for on-time consumer demand based on the greedy approach. A greedy algorithm was established to rapidly plan the distribution route to obtain the lowest distribution cost and shortest distribution time to achieve a green distribution. The distribution cost model covering the costs of vehicle transportation time, time window deviation, fossil consumption, and PM2.5 emission was established based on on-time demand and green distribution characteristics. This study analyzed the milk distribution route for Guangxi A Diary Co., Ltd. based on the greedy algorithm. The results show that compared with the genetic algorithm, the algorithm running time is reduced by 2 s, although the greedy algorithm requires an additional cost of 21.73 CNY.","PeriodicalId":45921,"journal":{"name":"Journal of Advanced Computational Intelligence and Intelligent Informatics","volume":"6 1","pages":"143-147"},"PeriodicalIF":0.7,"publicationDate":"2023-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74345352","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":"Modeling and Control Strategies for Liquid Crystal Elastomer-Based Soft Robot Actuator","authors":"Jundong Wu, Yawu Wang, Wenjun Ye, Jinhua She, C. Su","doi":"10.20965/jaciii.2023.p0235","DOIUrl":"https://doi.org/10.20965/jaciii.2023.p0235","url":null,"abstract":"Liquid crystal elastomer is a type of soft material with unique physical and chemical properties that offer a variety of possibilities in the growing field of soft robot actuators. This type of material is able to exhibit large, revertible deformation under various external stimuli, including heat, electric or magnetic fields, light, etc., which may lead to a wide range of different applications such as bio-sensors, artificial muscles, optical devices, solar cell plants, etc. With these possibilities, it is important to establish modeling and control strategies for liquid crystal elastomer-based actuators, to obtain the accurate prediction and description of its physical dynamics. However, so far, existing studies on this type of the actuators mainly focus on material properties and fabrication, the state of art on the modeling and control of such actuators is still preliminary. To gain a better understanding on current studies of the topic from the control perspective, this review provides a brief collection on recent studies on the modeling and control of the liquid crystal elastomer-based soft robot actuator. The review will introduce the deformation mechanism of the actuator, as well as basic concepts. Existing studies on the modeling and control for the liquid crystal elastomer-based actuator will be organized and introduced to provide an overview in this field as well as future insights.","PeriodicalId":45921,"journal":{"name":"Journal of Advanced Computational Intelligence and Intelligent Informatics","volume":"76 1-2","pages":"235-242"},"PeriodicalIF":0.7,"publicationDate":"2023-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72478281","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":"Research on Texture Classification Based on Multi-Scale Information Fusion","authors":"Lin Wang, Lihong Li, Yaya Su","doi":"10.20965/jaciii.2023.p0207","DOIUrl":"https://doi.org/10.20965/jaciii.2023.p0207","url":null,"abstract":"Texture feature is an important visual cue for an image, which is the unified description of human visual attributes and sensory attributes. The inherent problem of texture image is that the difference of intra-class images is large and the disparity of inter-class images is small. This problem increases the difficulty of texture image recognition. Therefore, improving the relevance embedding of intra-class images can reduce the classification errors caused by this problem. To solve this problem, this paper proposes a multi-scale information fusion network algorithm, which adopts a cascade structure. It combines multi-scale feature information with the corresponding background information. The shallow background information guides the next stage of feature formation and enhances the similarity of intra-class images. The intra-class feature information obtained is more general. The algorithm has been tested on data sets describable texture database (DTD) and Flickr material dataset (FMD), which has achieved good results.","PeriodicalId":45921,"journal":{"name":"Journal of Advanced Computational Intelligence and Intelligent Informatics","volume":"41 1","pages":"207-214"},"PeriodicalIF":0.7,"publicationDate":"2023-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78903246","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 Impact of Field-Flipped Courses on College Students' Self-Regulated Learning and Learning Performance Take a National University in Central Taiwan as an Example","authors":"Yu-Ling Chen, Shihmin Lo, Jen-Son Cheng","doi":"10.20965/jaciii.2023.p0281","DOIUrl":"https://doi.org/10.20965/jaciii.2023.p0281","url":null,"abstract":"Objectives: In the past, an inherent dilemma in the education field was the difficulty in stimulating self-regulated learning. Flipped education, i.e., flipped teaching and learning, changed the teaching model, with a strategy of increasing students’ active learning during class time through a transformation of teaching and learning methods that enable students to build learning and knowledge on their own. This study investigates the impact of field-based flipped courses on college students taking up self-regulated learning and their learning performance. Methods: This study considers a national university in central Taiwan that adopts 34 field flipped teaching courses and 796 non-degree students from four colleges across all grades as the research objects, and conducts statistical analysis using descriptive statistics, t-test, ANOVA, Pearson’s correlation, and regression analysis on questionnaires to evaluate the association among variables. Findings: 1. With respect to the understanding of the uniqueness of field-based flipped teaching before and after the courses, there were differences among students in the Colleges of Education, Humanities, and Management. 2. In terms of students’ learning performance in the course pertaining to mastery over core literacy, there were differences between students of the Colleges of Education and Humanities at the beginning of the flipped-learning course. 3. There were differences among the students of Colleges of Education, Humanities, and Science and Technology in the later stage of the flipped-learning course. 4. Differences were found in the pre-test of learning performance at the grade level. 5. Self-regulated learning correlated with learning performance. 6. Field-based flipped teaching correlated with learning performance. 7. Self-regulated learning had a mediating effect on field-based flipped teaching and learning performance. Innovations: There is a little systematic discussion on the emergence and impact of flipped teaching in higher education currently in Taiwan. The authors found correlations among flipped teaching, self-regulated learning, and learning performance from the data, as well as discovered that self-regulated learning had a mediating effect on learning performance in field-based flipped teaching. Value: Making the university, when the curriculum arrangement and the development of the unique curriculum map of higher education in the future, possible to be linked with the local revitalization thinking in addition to the general curriculum, as well as being closely integrated with the local people and matters through field-flipped courses, and sustainably interacting therewith to practice university social responsibility.","PeriodicalId":45921,"journal":{"name":"Journal of Advanced Computational Intelligence and Intelligent Informatics","volume":"15 1","pages":"281-291"},"PeriodicalIF":0.7,"publicationDate":"2023-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85006539","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":"A Data-Driven Prediction Model of Blast Furnace Gas Generation Based on Spectrum Decomposition","authors":"Lili Feng, Jun Peng, Zhaojun Huang","doi":"10.20965/jaciii.2023.p0304","DOIUrl":"https://doi.org/10.20965/jaciii.2023.p0304","url":null,"abstract":"Blast furnace gas (BFG) is an important secondary energy in the iron and steel industries, and its efficient and reasonable utilization is the key to improving the economic efficiency of enterprises and the level of energy conservation and emission reduction. Aiming at the problems of difficult accurate modeling on the generation process and difficult prediction of real-time flow, this paper proposes a generation prediction model based on spectrum decomposition. Firstly, the major chemical reactions, production process, and data characteristics of blast furnace are analyzed, and the input variables for the prediction model are reasonably selected based on the correlation analysis results. Then, according to the spectrum characteristics, the BFG data is decomposed into low-frequency and medium-frequency parts by two finite impulse response filters. Next, for the low- and middle-frequency components of data, a low-frequency component prediction model based on the support vector regression, and a middle-frequency component prediction model based on the Elman neural network (ENN) are designed respectively. Finally, we decompose the spectrum of the actual industrial production data and find that the spectrum of the decomposed data basically meets the expected target, which verifies the effectiveness of the finite impulse response filters. In addition, we compare the prediction effect of the designed combined model with other models, such as the support vector regression, the back-propagation neural network, and the ENN. The final experimental results show the correctness, effectiveness, and superiority of the combined model and the spectral decomposition method proposed in this paper.","PeriodicalId":45921,"journal":{"name":"Journal of Advanced Computational Intelligence and Intelligent Informatics","volume":"81 1","pages":"304-313"},"PeriodicalIF":0.7,"publicationDate":"2023-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90562010","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}