Proceedings of the 2022 7th International Conference on Intelligent Information Technology最新文献

Extensive Study on Integer Factorization With Valuated Binary Tree 赋值二叉树整数分解的广泛研究

Proceedings of the 2022 7th International Conference on Intelligent Information Technology Pub Date : 2022-02-25 DOI: 10.1145/3524889.3524913

Jianhui Li, Chaogang Yi, Man-shing Liu, Qiao-Zhi Li, Xuesong Wang, Gongshan Yu

引用次数: 0

Oral Cone Beam Computed Tomography Images Segmentation Based On Multi-view Fusion 基于多视图融合的口腔锥束计算机断层图像分割

Proceedings of the 2022 7th International Conference on Intelligent Information Technology Pub Date : 2022-02-25 DOI: 10.1145/3524889.3524899

Yunyao Jin, Qijun Zhao, Jun-ge Cheng

{"title":"Oral Cone Beam Computed Tomography Images Segmentation Based On Multi-view Fusion","authors":"Yunyao Jin, Qijun Zhao, Jun-ge Cheng","doi":"10.1145/3524889.3524899","DOIUrl":"https://doi.org/10.1145/3524889.3524899","url":null,"abstract":"In computer-aided orthodontic treatment, it is necessary to establish a 3D model of the teeth and alveolar bone. Segmenting the teeth and alveolar bone from cone-beam computed tomography (CBCT) images is the primary step of reconstructing the model. However, previous studies mainly focused on the segmentation and reconstruction of teeth, and the research on alveolar bone segmentation is very rare. Different viewpoints of oral CBCT images provide complementary information. This paper proposes a multi-view information fusion method to realize the segmentation of teeth and alveolar bone in oral CBCT images. Firstly, for each of the three axes of the 3D data, an individual 2D deep network is trained to achieve coarse segmentation results. Secondly, in order to make full use of the information obtained from different viewpoints of oral CBCT images, a convolution network is used for multi-view fusion. To better fuse the information of different viewpoints, the channel-spatial attention mechanism is applied. Final segmentation is obtained by stacking 2D slices predictions, and the contextual information is added in a post-processing manner through fusing three-viewpoints results. According to the experimental results, our proposed method achieves significant improvements over the baseline.","PeriodicalId":129277,"journal":{"name":"Proceedings of the 2022 7th International Conference on Intelligent Information Technology","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129980545","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

Personality Trait Identification Based on Hidden semi-Markov Model in Online Social Networks 基于隐半马尔可夫模型的在线社交网络人格特征识别

Proceedings of the 2022 7th International Conference on Intelligent Information Technology Pub Date : 2022-02-25 DOI: 10.1145/3524889.3524898

Bailin Xie, N. Wei

{"title":"Personality Trait Identification Based on Hidden semi-Markov Model in Online Social Networks","authors":"Bailin Xie, N. Wei","doi":"10.1145/3524889.3524898","DOIUrl":"https://doi.org/10.1145/3524889.3524898","url":null,"abstract":"In recent years, online social networks (OSNs) have become great places for people to communicate with each other and share knowledge. However, OSNs have also become the main grounds for exploiting the vulnerabilities of people and launching a variety of fraud. Most of hackers implement fraud based on the target users’ personality traits. It is difficult for users to identify such fraud in OSNs. In order to alert users to the hackers’ fraud strategies, and improve users’ ability to identify fraud, the research on personality trait identification is important. In this paper a new method is presented for identifying user's personality trait based on the personality trait dictionary and hidden semi-Markov models, from the perspective of the behavior process of user's posting/forwarding information in OSNs. The proposed method includes a training phase and an identification phase. In the identification phase, the average log likelihood of every observation sequence is calculated. An experiment based on real datasets of Weibo is conducted to evaluate this method. The experiment results validate the effectiveness of this method.","PeriodicalId":129277,"journal":{"name":"Proceedings of the 2022 7th International Conference on Intelligent Information Technology","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128741983","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

Optimal Resource Allocation of Mobile Edge Computing Using Grasshopper Optimization Algorithm 基于Grasshopper优化算法的移动边缘计算资源优化分配

Proceedings of the 2022 7th International Conference on Intelligent Information Technology Pub Date : 2022-02-25 DOI: 10.1145/3524889.3524894

Zhonghua Li, Guannan He

引用次数: 0

NIAP: A Neighbor Information based Multichannel RFID Reader Anti-collision Protocol NIAP:基于邻居信息的多通道RFID阅读器防碰撞协议

Proceedings of the 2022 7th International Conference on Intelligent Information Technology Pub Date : 2022-02-25 DOI: 10.1145/3524889.3524901

Zijun Su, Chang Wan, Guannan He, Zhonghua Li

引用次数: 0

330G Broadband High Order Harmonic Frequency Doubler 330G宽带高次谐波倍频器

Proceedings of the 2022 7th International Conference on Intelligent Information Technology Pub Date : 2022-02-25 DOI: 10.1145/3524889.3524911

Xixi Lu, Chuan-Hsing Chen, Yong Fang, Jing Yan

引用次数: 0

Program Vulnerability Mining System based on Symbolic Execution 基于符号执行的程序漏洞挖掘系统

Proceedings of the 2022 7th International Conference on Intelligent Information Technology Pub Date : 2022-02-25 DOI: 10.1145/3524889.3524903

Bailin Xie, Qi Li, Jiabin Luo

{"title":"Program Vulnerability Mining System based on Symbolic Execution","authors":"Bailin Xie, Qi Li, Jiabin Luo","doi":"10.1145/3524889.3524903","DOIUrl":"https://doi.org/10.1145/3524889.3524903","url":null,"abstract":"In recent years, vulnerability mining is a hot topic. Existing vulnerability mining methods of binary program are mainly based on fuzzy testing. These methods discover vulnerabilities by continuously inputting random data into the target program, in order to trigger the binary program's errors. However, the vulnerability output of these methods mainly depends on the input random data. The coverage rate of program execution path is low in these methods. In order to improve the coverage rate of program execution path and discover more unknown vulnerabilities, this paper presents an automatic vulnerability mining system based on symbolic execution. This system discovers vulnerabilities by performing constraint check on each execution path of the binary program. This system contains five modules, and each module is responsible for mining a type of vulnerabilities. This system has been developed based on the Python's Angr module. An experiment based on test programs is conducted to evaluate this system. The experimental results validate the effectiveness of this system. The experiment results also show that this system can discover most of the binary program's execution paths.","PeriodicalId":129277,"journal":{"name":"Proceedings of the 2022 7th International Conference on Intelligent Information Technology","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122427379","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

Research on Full Coverage Path Planning Algorithm of Mobile Robot Based on Astar Improved Algorithm 基于Astar改进算法的移动机器人全覆盖路径规划算法研究

Proceedings of the 2022 7th International Conference on Intelligent Information Technology Pub Date : 2022-02-25 DOI: 10.1145/3524889.3524893

Haichu Chen, Huannan Zheng

{"title":"Research on Full Coverage Path Planning Algorithm of Mobile Robot Based on Astar Improved Algorithm","authors":"Haichu Chen, Huannan Zheng","doi":"10.1145/3524889.3524893","DOIUrl":"https://doi.org/10.1145/3524889.3524893","url":null,"abstract":"In order to solve the problems that most robots have in full coverage path planning in the working area, including unreasonable moving paths, long exploration time, and disorderly planning routes in obstacle areas. This paper improves the Astar algorithm and studies a full coverage path planning algorithm for mobile robot path planning. This improved algorithm enables the robot to construct a map in a certain closed area, and use the constructed map to scan the closed space, so that the robot has the ability of autonomous path planning and realizes autonomous navigation and motion control. This algorithm is transplanted into a mobile robot control system, and an experimental study is carried out on this algorithm. Experiments show that the algorithm is stable in time and has strong robustness. Comparing the map established by the robot with the actual experimental area, it is found that the algorithm has a high coverage rate and strong practicability. In addition, a remote video transmission function system is integrated on the mobile robot, and experimental tests such as remote video transmission, robot image recognition and automatic tracking have been carried out, and good results have been achieved.","PeriodicalId":129277,"journal":{"name":"Proceedings of the 2022 7th International Conference on Intelligent Information Technology","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128978273","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: 1

Research on fault diagnosis expert system of the electric vehicle drive system 电动汽车驱动系统故障诊断专家系统研究

Proceedings of the 2022 7th International Conference on Intelligent Information Technology Pub Date : 2022-02-25 DOI: 10.1145/3524889.3524909

Qichao Qin, Youpeng Chen, Zhuogeng Qin, Chaoqun Tu

引用次数: 1

Research on "one-to-many" Vehicle and Cargo Matching Optimization Problem based on Improved Genetic Algorithm 基于改进遗传算法的一对多车货匹配优化问题研究

Proceedings of the 2022 7th International Conference on Intelligent Information Technology Pub Date : 2022-02-25 DOI: 10.1145/3524889.3524891

Xinyun He, Yuan Zhang, Zhu Le, Yanping Du

{"title":"Research on \"one-to-many\" Vehicle and Cargo Matching Optimization Problem based on Improved Genetic Algorithm","authors":"Xinyun He, Yuan Zhang, Zhu Le, Yanping Du","doi":"10.1145/3524889.3524891","DOIUrl":"https://doi.org/10.1145/3524889.3524891","url":null,"abstract":"The matching relationship between vehicles and cargo affects the merits of the transportation program, so the vehicles and cargo arrangements reasonable matching program is very necessary. Vehicle and cargo matching refers to obtaining the optimal allocation plan through intelligent matching under the condition of known certain vehicle and cargo information, so as to realize the optimization of cost and time single-objective and dual-objective. When solving the problem of vehicle and cargo matching, pay attention to the impact of vehicle and cargo information on the results. Therefore, this article comprehensively considers the effect of different attributes of vehicles and cargo on the matching scheme, and proposes a \"one-to-many\" vehicle and cargo matching model based on the attributes of vehicles and cargo. The difference between this article and the general “one-to-many” vehicle and cargo matching scenario is that it provides feasible cargo matching schemes for multiple types and multiple vehicles at the same time, in order to get the highest overall profit under the condition of meeting the weight limit of each vehicle. An improved Genetic algorithm is used to solve the problem, and the greedy operator is introduced to screen the initial results. The results show that this method can effectively increase the full-load rate of mainline vehicles and rationalize the allocation of vehicle and cargo resources.","PeriodicalId":129277,"journal":{"name":"Proceedings of the 2022 7th International Conference on Intelligent Information Technology","volume":"187 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121453780","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