2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)最新文献
{"title":"A study of social graph analysis for preschool education using face authentication: Pruning for centrality optimization in graph analysis","authors":"Tsuyoshi Tomioka, M. Hasegawa, Shojiro Shiraishi","doi":"10.1109/SNPD.2017.8022780","DOIUrl":"https://doi.org/10.1109/SNPD.2017.8022780","url":null,"abstract":"Social graph analysis for preschool education is discussed in this paper. Our social graph describes relations between preschool children and preschool teachers. The preschool teachers wear eyeglasses equipped with a video camera, and they take a video in their childcare. The social graph is created by a face recognition and authentication systems that perform identification for children and preschool teachers from the video. Some centralities of our graph are computed, and analyze the preschool education. When we take a long video, our social graph may become a complete graph, so that values of the centralities for all children are equal; it is our technical issues. In this paper, we discuss graph pruning and optimize our centralities for the graph analysis. Our performances of graph pruning are shown in our experiments.","PeriodicalId":186094,"journal":{"name":"2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115219570","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}
Dandan Yuan, Weiwei Du, Xiaojie Duan, Jianming Wang, Yanhe Ma, Hong Zhang
{"title":"Detection of slices including a ground-glass opacity nodule in CT volume data with semi-supervised learning","authors":"Dandan Yuan, Weiwei Du, Xiaojie Duan, Jianming Wang, Yanhe Ma, Hong Zhang","doi":"10.1109/SNPD.2017.8022778","DOIUrl":"https://doi.org/10.1109/SNPD.2017.8022778","url":null,"abstract":"The features of GGO nodules need to be obtained such as volume, mean, variance of Ground-Glass Opacity Nodules by boundaries of GGO nodules to judge malignant or benign of lung tumors. However, radiologists need to look for the slices including the GGO nodule in CT volume data. It is time-consuming. This paper proposes a semi-supervised learning method based on the label propagation. First, a GGO nodule was labeled in one slice. Secondly, similarities were found by comparing with the labeled GGO nodule using the values of pixels. Finally, the GGO nodule of the other slices was labeled by iteration. Experimental results showed that the approach of this paper can find slices including the GGO nodule. The approach is better than the nearest neighbor algorithm in performance.","PeriodicalId":186094,"journal":{"name":"2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114303013","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":"How catchphrases are percepted by human?","authors":"Rieko Fujita, T. Matsuo, T. Hochin","doi":"10.1109/SNPD.2017.8022788","DOIUrl":"https://doi.org/10.1109/SNPD.2017.8022788","url":null,"abstract":"This paper describes analysis of perception of people who do not concern in the mottos of schools. We can find school mottos on the web and see advertising their educational policy and philosophy. Students should act as “a student” because some schools make school mottos rules or disciplines of behavior, attitude, and thought for their students to be used in education purpose. On the other hands, school motto is one of a strong message which has role of advertisement for external people of the school. In this paper, we survey the school mottos to external people of the school and clarify the difference of perception of people. In our analyses, we compared perceptions in marriage and place of living. Respectively, we divided two groups, married and unmarried and living in metropolitan area and local area of Japan. Since their experiences are difference between each other, the perception about some school mottos is different for them. Furthermore, when the school motto contains Cristian keywords, people have similar perception and make similar image to the school. This paper includes these three contributions; (1) Analysis where external people of school are attracted by school motto, (2) Clarifying appropriate school motto depends on places of school to improve their business to get a lot of applicants to enter the school, and (3) Clarifying what school motto understood easily by several types of people.","PeriodicalId":186094,"journal":{"name":"2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124227307","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 effectiveness of random selection for IGA-based texture search","authors":"K. Ishibashi","doi":"10.1109/SNPD.2017.8022793","DOIUrl":"https://doi.org/10.1109/SNPD.2017.8022793","url":null,"abstract":"This paper provides a novel texture search method for texture images. Creating a computer graphics (CG) is a popular task in many media creations. However, CG creators require their abundant time and effort. In addition, it is difficult for non-professional creators to make a 3D CG scene. This is because that they have to choose appropriate colors, textures, and lighting patterns in addition to 3D CG modeling. To reduce creators' work time and effort, some prior studies have tried to support for 3D CG creations by procedural modeling, texture synthesis, or automatic parameter setting technique. However, there are no supporting systems for choosing textures. Thus, this study addresses the problem. The proposed method enables to choose an appropriate texture image easily and quickly. The method uses an interactive genetic algorithm (IGA) with random selection (RS) system. This paper describes a framework of the proposed method using IGA with RS.","PeriodicalId":186094,"journal":{"name":"2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125955935","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":"SQL antipatterns detection and database refactoring process","authors":"Poonyanuch Khumnin, T. Senivongse","doi":"10.1109/SNPD.2017.8022723","DOIUrl":"https://doi.org/10.1109/SNPD.2017.8022723","url":null,"abstract":"SQL antipatterns are frequently-made missteps that are commonly found in the design of relational databases, the use of SQL, and the development of database applications. They are intended to solve certain problems but will eventually lead to other problems. The motivation of this paper is how to assist database administrators in diagnosing SQL antipatterns and suggest refactoring techniques to solve the antipatterns. Specifically, we attempt to automate the detection of logical database design antipatterns by developing a tool that uses Transact-SQL language to query and analyze the database schema. The tool reports on potential antipatterns and gives an instruction on how to refactor the database schema. In an evaluation based on three databases from the industry, the performance of the tool is satisfactory in terms of recall of the antipatterns but the tool detects a number of false positives which affect its precision. It is found that SQL antipatterns detection still largely depends on the semantics of the data and the detection tool should rather be used in a semi-automated manner, i.e it can point out potential problematic locations in the database schema which require further diagnosis by the database administrators. This approach would be useful especially in the context of large databases where manual antipatterns inspection is very difficult.","PeriodicalId":186094,"journal":{"name":"2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124377851","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":"Towards cooperation between multiple video retrieval systems based on impression","authors":"Tomoki Maeda, T. Hochin, Hiroki Nomiya","doi":"10.1109/SNPD.2017.8022774","DOIUrl":"https://doi.org/10.1109/SNPD.2017.8022774","url":null,"abstract":"This paper proposes a method to convert a factor score matrix for the cooperation between multiple video retrieval systems based on impression. A matrix transforming the factor loading matrix is used. As a result, we showed that the results of two applications of the factor analysis can satisfactorily be transformed by using the transformation matrix.","PeriodicalId":186094,"journal":{"name":"2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127983124","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":"Quality model for assessing object-oriented design patterns under development","authors":"Charnon Pattiyanon, T. Senivongse","doi":"10.1109/SNPD.2017.8022749","DOIUrl":"https://doi.org/10.1109/SNPD.2017.8022749","url":null,"abstract":"Object-oriented design patterns are used to solve recurring problems in the design of object-oriented software. The success of existing design patterns encourages researchers and practitioners to propose new design patterns especially for solving recurring design problems in specific domains. Assessing the quality of the design patterns being developed is an important task for a design pattern developer to determine which parts of the patterns need improvement. This paper presents a hierarchical quality model for object-oriented design patterns under development. The model focuses on two quality attributes, i.e. Embedded Knowledge and Pattern Language quality, of the object-oriented design patterns. The model relates several properties of the design pattern descriptions, i.e. usefulness, completeness, consistency, and understandability, to the two quality attributes. Four quality metrics are proposed to quantitatively measure those properties of the design pattern descriptions. In an evaluation, we obtain a satisfactory result as the proposed quality assessment model can be used to complement other existing design pattern evaluation methods.","PeriodicalId":186094,"journal":{"name":"2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131249092","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 new fast color image encryption scheme using chen chaotic system","authors":"Chong Fu, Zhou-feng Chen, Wei Zhao, Hui-yan Jiang","doi":"10.1109/SNPD.2017.8022710","DOIUrl":"https://doi.org/10.1109/SNPD.2017.8022710","url":null,"abstract":"Recently, a number of chaos-based image ciphers with permutation-substitution structure have been suggested. Generally, the permutation and substitution are considered as two independent procedures, and individual chaotic maps or systems are iterated and quantified to produce the keystreams for the two stages. In this paper, we suggest a fast color image encryption scheme with both permutation and substitution keystreams quantified from a sequence extracted from the orbit of chaotic Chen's system. As the total number of iterations is reduced by half, the computational efficiency is improved. To confuse the relationship between the ciphertext and the secret key, the positions of subpixels in each color channel are scrambled across the entire color space using a pixel-swapping strategy, which can avoid the periodicity problem encountered by the discretized version of area-preserving chaotic maps. Experimental results demonstrate that the proposed scheme has a satisfactory level of security and outperforms the conventional scheme in term of computational efficiency.","PeriodicalId":186094,"journal":{"name":"2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134646187","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":"Medical concept extraction: A comparison of statistical and semantic methods","authors":"Nyein Pyae Pyae Khin, Khin Thidar Lynn","doi":"10.1109/SNPD.2017.8022697","DOIUrl":"https://doi.org/10.1109/SNPD.2017.8022697","url":null,"abstract":"The goal of medical concept extraction is to identify phrases that refer to medical concepts of interest such as problems, treatments and tests from medical documents. In this study, three types of medical concept extraction models are developed and then compared them. The first concept extraction task is mainly based upon semantic features obtained from a domain-knowledge based method using MetaMap, and the other two are machine-learning methods with using sequential classifier Conditional Random Fields (CRF) for both with and without MetaMap outputs as features. Among the three concept extraction models, the combined approach of CRF with MetaMap features obtained the best results.","PeriodicalId":186094,"journal":{"name":"2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133966171","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":"Experiences of debugger-based architecture comprehension","authors":"Naoya Nitta","doi":"10.1109/SNPD.2017.8022764","DOIUrl":"https://doi.org/10.1109/SNPD.2017.8022764","url":null,"abstract":"Architecture comprehension is crucial for appropriately maintaining, evolving and reusing large scale software. However, in an actual software development, architecture descriptions are often insufficient, obsoleted or at worst missing, and most of the maintenance tasks are performed without sufficient understanding of the architecture. While many techniques to extract architectural information from existing source code have been proposed to support architecture comprehension, debuggers are still powerful for more exact comprehension of architectures. However, a debugger-based comprehension task usually becomes complicated and cumbersome. In this paper, we study debugger-based manual comprehension processes of real-world architectures. Through the case studies, we found that manual comprehension processes are basically driven by backward tracking of runtime flow of multiple non-primitive objects and such tracking task is cumbersome and time-consuming when only a debugger is available. We expect that the experiences of the case studies will be beneficial to exploring a dynamic analysis approach which can support exact comprehension of architectures.","PeriodicalId":186094,"journal":{"name":"2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122539555","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}