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2018 IEEE 12th International Symposium on Applied Computational Intelligence and Informatics (SACI)最新文献

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Current Challenges in the Computer-Based Assessment of Speech Sound Disorders 语音障碍计算机评估的当前挑战
2018 IEEE 12th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2018-05-01 DOI: 10.1109/SACI.2018.8440938
E. Mahmut, V. Stoicu-Tivadar
{"title":"Current Challenges in the Computer-Based Assessment of Speech Sound Disorders","authors":"E. Mahmut, V. Stoicu-Tivadar","doi":"10.1109/SACI.2018.8440938","DOIUrl":"https://doi.org/10.1109/SACI.2018.8440938","url":null,"abstract":"This paper summarizes several research projects, some of which materialized as Computer-based Speech Therapy Tools (CBSTs), aiming at providing computerized solutions for the automated detection of Speech Sound Disorders. It focuses specifically on the current challenges posed by rigorous speech sound feature extraction, analysis and representation and is arguably meant to serve as a basis for the further development of a research project working towards building a dyslalia screening mobile application.","PeriodicalId":126087,"journal":{"name":"2018 IEEE 12th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126661268","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
Distribution of Linux Log Files Described by Predicate Linear Logic Formula 用谓词线性逻辑公式描述的Linux日志文件分布
2018 IEEE 12th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2018-05-01 DOI: 10.1109/SACI.2018.8440960
J. Perháč, Daniel Mihályi, Lukas Relosky
{"title":"Distribution of Linux Log Files Described by Predicate Linear Logic Formula","authors":"J. Perháč, Daniel Mihályi, Lukas Relosky","doi":"10.1109/SACI.2018.8440960","DOIUrl":"https://doi.org/10.1109/SACI.2018.8440960","url":null,"abstract":"Linux operation systems' security is very complex and actual area of research. In this paper, we propose a solution for distribution of log files between servers. We create simple laboratory environment, where we design and implement unique configuration for distribution of log files, and we demonstrate our approach by a simulation of simple intrusion, which is recorded in the appropriate log file, that will be distributed. Then, we specify this process by suitable logical system's formulas, and we prove then using Gentzen's sequent calculus.","PeriodicalId":126087,"journal":{"name":"2018 IEEE 12th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116300297","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: 2
Estimating the Heat Transfer Coefficient Using Universal Function Approximator Neural Network 用通用函数逼近神经网络估计传热系数
2018 IEEE 12th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2018-05-01 DOI: 10.1109/SACI.2018.8440928
S. Szénási, I. Felde, G. Nagy, A. Deus
{"title":"Estimating the Heat Transfer Coefficient Using Universal Function Approximator Neural Network","authors":"S. Szénási, I. Felde, G. Nagy, A. Deus","doi":"10.1109/SACI.2018.8440928","DOIUrl":"https://doi.org/10.1109/SACI.2018.8440928","url":null,"abstract":"Abhstract-The appropriate knowledge of the Heat Transfer Coefficient (HTC) is required for the efficient design of heat treatment operations. There are several inverse heat transfer calculation methods to determine this quantity, but these are usually based on heuristics search algorithms and require high computation demands. This paper presents a solution to this problem with special usage of Artificial Neural Networks (ANN), the universal function approximator. After the time-consuming training process, this network is capable of giving prompt estimations about the nature of the HTC function sought. This estimation would be a useful input for additional fine-tuning algorithms.","PeriodicalId":126087,"journal":{"name":"2018 IEEE 12th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115814264","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
State Feedback Control Models for the Cardiovascular System in Constant Exercise Scenario 持续运动状态下心血管系统的状态反馈控制模型
2018 IEEE 12th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2018-05-01 DOI: 10.1109/SACI.2018.8440985
A. Dan, T. Dragomir
{"title":"State Feedback Control Models for the Cardiovascular System in Constant Exercise Scenario","authors":"A. Dan, T. Dragomir","doi":"10.1109/SACI.2018.8440985","DOIUrl":"https://doi.org/10.1109/SACI.2018.8440985","url":null,"abstract":"The human cardiovascular system has many local and global regulatory mechanisms designed to adjust the cardiovascular signals to different operating regimes. This paper is focused on modeling the control function of the system during an exercise scenario. In this scenario, the cardiovascular system is driven from the rest steady state to the exercise steady state. A review of different state feedback control models synthesis is made and a new control function is introduced. The new control function uses the heart rate and the arterial systemic pressure as feedback variables. These signals correspond to regulatory mechanisms and can be experimentally measured. The synthesis method is based on physiological reasoning and allows adding new terms based on physiological assessments of the cardiovascular system behavior. The proposed control function is validated through two case studies. It has the advantage of using minimal and easy to obtain information from the cardiovascular system.","PeriodicalId":126087,"journal":{"name":"2018 IEEE 12th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116253122","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
Embedded Solutions for Deep Neural Networks Implementation 深度神经网络实现的嵌入式解决方案
2018 IEEE 12th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2018-05-01 DOI: 10.1109/SACI.2018.8440953
Adrian-Aliosa Erofei, C. Druta, C. Căleanu
{"title":"Embedded Solutions for Deep Neural Networks Implementation","authors":"Adrian-Aliosa Erofei, C. Druta, C. Căleanu","doi":"10.1109/SACI.2018.8440953","DOIUrl":"https://doi.org/10.1109/SACI.2018.8440953","url":null,"abstract":"Deep Neural Networks and its associate learning paradigm-Deep Learning-represents today a breakthrough in the field of Artificial Intelligence due to the impressive results obtained in many application areas, especially in image, video or speech processing. The main hindrance to the development process of such applications is represented by the vast amount of computational power needed to train such structures. Various hardware solutions arose to this problem, most of them relying on the intrinsic parallelism found in modern Graphical Processing Units. On the other hand, once the learning process was finished, the functional phase (inference) of the neural network require substantially less hardware resources enabling thus potential realtime solutions. Our work provides an extensive overview regarding currently available embedded solutions for Deep Neural Networks implementation, pointing out the main characteristics, advantages and disadvantages. We also demonstrate through experimental results that the effect of combined hardware optimization and suitable deep architecture could substantially decrease the inference process execution time.","PeriodicalId":126087,"journal":{"name":"2018 IEEE 12th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128688910","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: 6
Challenges on Data Analytics for Risk Predictions Based on Deep and Ensemble Learning 基于深度和集成学习的风险预测数据分析的挑战
2018 IEEE 12th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2018-05-01 DOI: 10.1109/SACI.2018.8441022
H. Fujita
{"title":"Challenges on Data Analytics for Risk Predictions Based on Deep and Ensemble Learning","authors":"H. Fujita","doi":"10.1109/SACI.2018.8441022","DOIUrl":"https://doi.org/10.1109/SACI.2018.8441022","url":null,"abstract":"Discovering patterns from big data attracts a lot of attention due to its importance in discovering accurate patterns and features that are used in predictions of decision making.","PeriodicalId":126087,"journal":{"name":"2018 IEEE 12th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"605 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123327941","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
Determination of Customer Number by Matrix Operations in Case of Network Failure 网络故障情况下用矩阵运算确定客户数量
2018 IEEE 12th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2018-05-01 DOI: 10.1109/SACI.2018.8440935
Peter Holcsik, Judith Pálfi, L. Pokorádi
{"title":"Determination of Customer Number by Matrix Operations in Case of Network Failure","authors":"Peter Holcsik, Judith Pálfi, L. Pokorádi","doi":"10.1109/SACI.2018.8440935","DOIUrl":"https://doi.org/10.1109/SACI.2018.8440935","url":null,"abstract":"In case of systems that are modelled by graph theory tree structure, the number of final customers affected by the service outage due to the failure of certain nodes can be determined by the new method described in the current Article. The developed new method is described by applying the indicators of reliability of electricity service-known as SAIFI and SAIDI indicator in the international literature-and also the electricity system model created by AD&TE research group.","PeriodicalId":126087,"journal":{"name":"2018 IEEE 12th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121533770","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: 4
Comments and Expansion of a Result on Common Diagonal Quadratic Lyapunov Functions for Sets of Positive LTI Systems 正LTI系统集的公共对角二次Lyapunov函数结果的注释和展开式
2018 IEEE 12th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2018-05-01 DOI: 10.1109/SACI.2018.8440926
O. Pastravanu, M. Matcovschi
{"title":"Comments and Expansion of a Result on Common Diagonal Quadratic Lyapunov Functions for Sets of Positive LTI Systems","authors":"O. Pastravanu, M. Matcovschi","doi":"10.1109/SACI.2018.8440926","DOIUrl":"https://doi.org/10.1109/SACI.2018.8440926","url":null,"abstract":"Our work comments a result on common diagonal Lyapunov functions (CDLFs), reported by a recent article, and proposes a substantial extension. The discussed result refers to sets of continuous-time positive linear time-invariant (LTI) systems and ensures the existence of CDLFs with quadratic form. We prove that exactly the same hypothesis as considered by the commented result can guarantee the existence of CDLFs defined by arbitrary Hölder vector p-norrns, 1> p>. The proposed expansion, besides the criteria for the existence of CDLFs, also includes procedures for their concrete construction. A separate section of the paper is reserved for sketching the transfer of our approach from continuous-to discrete-time dynamics (although the commented article focusses exclusively on the continuous-time case). An example inspired from the control engineering literature illustrates the applicability of the theoretical developments to a set of 16 continuous-time positive LTI systems.","PeriodicalId":126087,"journal":{"name":"2018 IEEE 12th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128190208","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
Identification of DMSP-5 Fluidic Muscle Dynamics Using Hammerstein Model 基于Hammerstein模型的DMSP-5流体肌肉动力学研究
2018 IEEE 12th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2018-05-01 DOI: 10.1109/SACI.2018.8440976
A. Hošovský, Monika Trojanová, J. Pitel’, J. Svetlík
{"title":"Identification of DMSP-5 Fluidic Muscle Dynamics Using Hammerstein Model","authors":"A. Hošovský, Monika Trojanová, J. Pitel’, J. Svetlík","doi":"10.1109/SACI.2018.8440976","DOIUrl":"https://doi.org/10.1109/SACI.2018.8440976","url":null,"abstract":"Fluidic muscles are pneumatic artificial muscles with specific construction and improved characteristics over the muscles with separate tube and outer fibre shell (McKibben type). In the paper we investigate the dynamics of DMSP-5 fluidic muscle, which is treated as a SISO system with voltage as an input variable and its displacement as an output variable. Based on the random step excitation, it is shown here that Hammerstein model, which is an attractive model from control viewpoint, can be a suitable model architecture for modeling its dynamics. Possible structure of this model with 2-zeros, 3-poles linear transfer function and sigmoid neural network approximation of static nonlinearity is identified and used for initialization of the estimation algorithm. The resulting model is based on triangular excitation signal using Levenberg-Marquardt optimization algorithm and achieves 93% fit on test data with total of 12 parameters.","PeriodicalId":126087,"journal":{"name":"2018 IEEE 12th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"461 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114831642","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
PillHelper-an Application for Treatment Administration pillhelper -治疗管理申请
2018 IEEE 12th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2018-05-01 DOI: 10.1109/SACI.2018.8440922
Razvan Bolintis, R. Bogdan, Mihaela Crișan-Vida, L. Stoicu-Tivadar
{"title":"PillHelper-an Application for Treatment Administration","authors":"Razvan Bolintis, R. Bogdan, Mihaela Crișan-Vida, L. Stoicu-Tivadar","doi":"10.1109/SACI.2018.8440922","DOIUrl":"https://doi.org/10.1109/SACI.2018.8440922","url":null,"abstract":"The paper presents a treatment administration application, with two components: Pillbox and PillHelper. It is an application developed on the Android platform and communicates with a Firebase database. The functionalities of the application are: organizing patient pills in terms of what pill to take, a time reminder when the patient must take the pills, and setting visual, audible, and vibrating alarms. In cases where it is important to take the treatment at exact hours each day, the application helps especially patients with mild mental disorders or elderly.","PeriodicalId":126087,"journal":{"name":"2018 IEEE 12th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"268 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122832451","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
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