Hua-wen Chang, Kai Chen, Xiao-Dong Bi, Ming-hui Wang
{"title":"Image Quality Measurement by Probabilistic Principal Component Analysis","authors":"Hua-wen Chang, Kai Chen, Xiao-Dong Bi, Ming-hui Wang","doi":"10.1109/ISSSR51244.2020.00031","DOIUrl":"https://doi.org/10.1109/ISSSR51244.2020.00031","url":null,"abstract":"In order to evaluate the perceptual quality of images, a full-reference quality index, which is called principal component deviation (PCD), is presented. This research is motivated by the discovery that the filters learned by the probabilistic principal component analysis are closely resemble the neurons of the human visual system. These filters are used as a model of the visual system, which are trained on 100,000 color image patches of size 4×4 by probabilistic principal component analysis. The PCD relates the image quality with the deviation between two sets of features that extracted by the learned filters. Experimental results show that PCD has relatively low computational complexity and high correlation with subjective quality evaluations.","PeriodicalId":210543,"journal":{"name":"2020 6th International Symposium on System and Software Reliability (ISSSR)","volume":"175 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114614822","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 and Implementation of Intelligent Heart Rate Detection System Based on STM32","authors":"Zengyu Cai, Zhongyuan Peng, Jianwei Zhang, Yuan Feng","doi":"10.1109/ISSSR51244.2020.00024","DOIUrl":"https://doi.org/10.1109/ISSSR51244.2020.00024","url":null,"abstract":"At present, people’s lifestyle is more and more diverse, and people’s eating habits are constantly changing. In this case, people’s health is facing great challenges. The sudden rate of various heart rate chronic diseases is also rising. Under the heart rate detection, it can be prevented in advance so that the disease can be effectively treated. This paper designs an intelligent heart rate detection system, which can real-time detect its own heart rate. When the heart rate beats too fast, the voice prompt will be given, and every time the heart rate value detected will be sent to the family through wireless transmission. The heart rate system satisfies the requirements of heart rate LCD display, voice prompt and Bluetooth transmission. It has certain application value for medical treatment.","PeriodicalId":210543,"journal":{"name":"2020 6th International Symposium on System and Software Reliability (ISSSR)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131921462","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":"Dynamic Workflow Scheduling based on Autonomic Fault-Tolerant Scheme Selection in Uncertain Cloud Environment","authors":"Chenyang Zhao, Junling Wang","doi":"10.1109/ISSSR51244.2020.00015","DOIUrl":"https://doi.org/10.1109/ISSSR51244.2020.00015","url":null,"abstract":"Most of the existing methods cannot deal with the problem of fault-tolerant workflow scheduling in uncertain environment. Therefore, the paper proposes a dynamic workflow scheduling based on autonomic fault-tolerant scheme selection in uncertain cloud environment. In order to make full use of various cloud resources, the tasks that constitute workflow are divided into various types. And a computing capacity fluctuation model based on multiple states and jump points is established to describe the instability of cloud resource. Moreover, an extended fault-tolerant model is built to deal with various computation and transmission faults. Based on the two models and task classification, tasks are firstly assigned statically to appropriate virtual machines, then the fault-tolerant strategies and the actual execution for tasks are automatically adjusted in a dynamic manner. Experiments show that the proposed method can perform effectively in uncertain cloud environment while ensuring fault tolerance.","PeriodicalId":210543,"journal":{"name":"2020 6th International Symposium on System and Software Reliability (ISSSR)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129748722","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":"[Copyright notice]","authors":"","doi":"10.1109/isssr51244.2020.00003","DOIUrl":"https://doi.org/10.1109/isssr51244.2020.00003","url":null,"abstract":"","PeriodicalId":210543,"journal":{"name":"2020 6th International Symposium on System and Software Reliability (ISSSR)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116787416","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 Laser Marking Control Software based on C#","authors":"Linyu Zhu, Yongjie Yang, Haitao Ye, Wanting Ren, X. Zhang, Minghua Sheng","doi":"10.1109/ISSSR51244.2020.00019","DOIUrl":"https://doi.org/10.1109/ISSSR51244.2020.00019","url":null,"abstract":"Laser marking technology has become a popular way of product information marking in industrial production. In order to improve the speed, accuracy, stability and other indicators of the laser marking machine, this paper realizes the design of an intelligent laser marking control software. Users can draw basic graphics in the drawing area. The software adopts the vector marking method. For the drawn content, you can perform basic operations such as movement, rotation and scaling without distortion. After the editing is completed, the software converts the graphics data in the drawing area into the marking data required by the lower computer through interpolation algorithm. After receiving the trigger signal sent by the PLC, the corresponding marking data and operation instructions are transmitted to the control board of the lower computer via USB, and the board drives the galvanometer deflection and laser energy output to complete the marking.","PeriodicalId":210543,"journal":{"name":"2020 6th International Symposium on System and Software Reliability (ISSSR)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129724582","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":"[Title page iii]","authors":"","doi":"10.1109/isssr51244.2020.00002","DOIUrl":"https://doi.org/10.1109/isssr51244.2020.00002","url":null,"abstract":"","PeriodicalId":210543,"journal":{"name":"2020 6th International Symposium on System and Software Reliability (ISSSR)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127288806","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":"Empirical evaluation of the active learning strategies on software defects prediction","authors":"Wenbo Mi, Yong Li, Shibo Wang","doi":"10.1109/ISSSR51244.2020.00021","DOIUrl":"https://doi.org/10.1109/ISSSR51244.2020.00021","url":null,"abstract":"Software defect prediction is a popular technical method in software engineering. In order to reduce the cost of a software defects, problems existing in the software are found by testing software products. Software defect prediction often uses machine learning techniques to improve the performance of software testing but requires enough labeled data when training the model. Because the cost of obtaining data is different from the label, the data is easy to obtain, but the label is cumbersome and expensive. In order to demonstrate software defect prediction, after the data obtained active learning algorithm is introduced to query the data, and the most valuable data is selected for expert annotation and then put into the model for training. However, it is not clear which active learning query strategy to choose the most effective in the software defect prediction model. We use different active learning strategy software defect prediction models for comparison. Experiment on the NASA dataset, using Naive Bayes and SVM, Linear Regression as the classifier. Comprehensive research results show that the Density-weighted strategy has a significant effect on the data set.","PeriodicalId":210543,"journal":{"name":"2020 6th International Symposium on System and Software Reliability (ISSSR)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121776083","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":"Generating Adversarial Examples for Sentiment Classifier of Chinese Sentences","authors":"Yiting Zheng, Zhanqi Cui, Yue Xu, Haikuo Li, Zhiwen Jiang","doi":"10.1109/ISSSR51244.2020.00013","DOIUrl":"https://doi.org/10.1109/ISSSR51244.2020.00013","url":null,"abstract":"Studies have shown that deep learning models are vulnerable to adversarial examples, which cause incorrect predictions by adding imperceptible perturbations into normal inputs. The same characteristic goes for the sentiment orientation classification models. If the input text for the models contains perturbing information such as typos or special symbols, the inputs could misled the models. The adversarial examples reflect the diversity of text features, and the flaws of the sentiment orientation classification models can be found by adversarial attacks. The adversarial examples can be used to train the sentiment orientation classification models to improve the robustness of the model. This paper proposes to generate adversarial examples of Chinese sentences by replacing one of the characters in the word with similar Chinese characters in a black-box manner. The experimental results show that the adversarial examples generated by this method cost less and visually closer to the normal text.","PeriodicalId":210543,"journal":{"name":"2020 6th International Symposium on System and Software Reliability (ISSSR)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128613189","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":"Constructing Formal Specification Models from Domain Specific Natural Language Requirements","authors":"Jun Hu, Jiancheng Hu, Wenxuan Wang, Jiexiang Kang, Hongya Wang, Zhongjie Gao","doi":"10.1109/ISSSR51244.2020.00017","DOIUrl":"https://doi.org/10.1109/ISSSR51244.2020.00017","url":null,"abstract":"One important way to improve the quality of safety-critical software is to produce a good software requirement satisfying several key properties, such as: integrity, consistency, and well organized, etc. Our work is based on airborne software domain, and propose a framework to translate the software requirements, which are itemized with domain natural language in avionics, effectively into a formal specification model VRM (Variable Relation Model), which has table-style structures with formal semantics. Firstly, considering avionics domain characteristics, a domain concept library is established including different types of variables and concepts. Then, a set of domain-oriented requirements templates are defined, such as: general event/condition, display event/condition, etc. According to VRM model element semantics, three types model construction algorithms are designed to complete the translation automatically. And in the case study, the Engine Indication and Crew Warning System (EICAS) was selected to show how to construct formal models from natural language requirements.","PeriodicalId":210543,"journal":{"name":"2020 6th International Symposium on System and Software Reliability (ISSSR)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130247999","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 Method of Safe and Fast Bluetooth Connection and Energy Saving for Educational Environment","authors":"Jingxian Zhou, Guangming Zheng, Hui Li, Zhaojun Gu","doi":"10.1109/ISSSR51244.2020.00022","DOIUrl":"https://doi.org/10.1109/ISSSR51244.2020.00022","url":null,"abstract":"In today’s digital era, the combination of digital technology and education to promote education has become a trend. One example is the pen control system. In the current mainstream pen control system, the communications between the smart pen and the smart terminal device like a tablet computer all use Bluetooth technology. This paper designs the self-adaptive identification and pairing scheme between the Bluetooth pen and the smart tablet by analyzing the Bluetooth protocol structure. This paper implements the application software of the Bluetooth master based on the Android tablet,which illustrates the feasibility of the scheme.","PeriodicalId":210543,"journal":{"name":"2020 6th International Symposium on System and Software Reliability (ISSSR)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115122743","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}