2018 9th International Conference on Information, Intelligence, Systems and Applications (IISA)最新文献

On the Detection of Wandering Using Trajectories Datasets 基于轨迹数据集的流浪检测

2018 9th International Conference on Information, Intelligence, Systems and Applications (IISA) Pub Date : 2018-07-01 DOI: 10.1109/IISA.2018.8633696

A. Martínez-Ballesté, Abdulrahman Al-Molegi, Edgar Batista

{"title":"On the Detection of Wandering Using Trajectories Datasets","authors":"A. Martínez-Ballesté, Abdulrahman Al-Molegi, Edgar Batista","doi":"10.1109/IISA.2018.8633696","DOIUrl":"https://doi.org/10.1109/IISA.2018.8633696","url":null,"abstract":"Smartphones are used worldwide for a variety of purposes: constant communication, immediate access to a humongous amount of knowledge, effortless ways of posting pictures, feelings and thoughts to name a few. In consequence, smartphones have become our natural life companions and, thanks to the rise of concepts such as mobile health and smart health, will be a linchpin regarding our care. Detecting the appearance of wandering behaviours in the elderly population is crucial in order to tackle the early treatment of mild cognitive impairments. To that end, a number of proposals have appeared, either theoretical methods or practical applications. This paper addresses the assessment of wandering detection methods from different perspectives. First, we review the available datasets in the literature that can be used for benchmarking wandering detection methods. Moreover, we analyse the available datasets using a well-known wandering detection technique, so as to obtain the number of abnormal trajectories with respect to the whole dataset and each individual. Finally, we discuss the properties that a dataset for benchmarking should fulfil.","PeriodicalId":396155,"journal":{"name":"2018 9th International Conference on Information, Intelligence, Systems and Applications (IISA)","volume":"164 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122358477","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

A Discrete Approach to the Quality of Medical Care Assessment Using an Automated Information System at Inpatient Hospitals of the Volgograd Region 伏尔加格勒地区住院医院使用自动化信息系统进行医疗质量评估的离散方法

2018 9th International Conference on Information, Intelligence, Systems and Applications (IISA) Pub Date : 2018-07-01 DOI: 10.1109/IISA.2018.8633695

T. Dyachenko, V. Ivanenko, B. Lempert, L. B. Lempert, N. Salnikova

引用次数: 0

Managing, Assessing and Forecasting Algorithms for the Exchange Student's Adaptation Monitoring 交换学生适应监测的管理、评估与预测算法

2018 9th International Conference on Information, Intelligence, Systems and Applications (IISA) Pub Date : 2018-07-01 DOI: 10.1109/IISA.2018.8633686

O. Berestneva, S. Romanchukov, O. Marukhina, E. Berestneva, O. Fisochenko, P. Ludmila

{"title":"Managing, Assessing and Forecasting Algorithms for the Exchange Student's Adaptation Monitoring","authors":"O. Berestneva, S. Romanchukov, O. Marukhina, E. Berestneva, O. Fisochenko, P. Ludmila","doi":"10.1109/IISA.2018.8633686","DOIUrl":"https://doi.org/10.1109/IISA.2018.8633686","url":null,"abstract":"Modern higher education is actively moving beyond national boundaries and therefore it faces a number of specific problems. One of these problems is an exchange student's adaptation to living in studying conditions of the new country. It is necessary to form an indicator system for adaptation process prognostic and risk reducing models and solve foreign student's adaptation assessment, prediction and management problems in the most effective way. This paper is devoted to the algorithms and software development for monitoring, assessing, forecasting and managing the foreign student's adaptation process (especially in the Russian universities) based on an integrated approach which coordinates a set of methods, including: multivariate statistical and the hierarchical analysis, fuzzy sets and data mining. A foreign student's adaptation abilities assessment criteria and hierarchical risk model's design are based on an integrated risk management approach. The fuzzy set method makes it possible to successfully assess the foreign student's adaptation level in Russian universities for different initial conditions and characteristic sets. Decision priorities were set using a data structure obtained with the hierarchy analysis method. Student's adaptation, development and disruption forecasting are possible as an application of a heterogeneous sequential procedure. An integrated approach to the foreign student's adaptation assessment, prediction and management was implemented to develop a decision support system for foreign student's adaptation process management based on a set of methods and decision rules for the exchange student's individual adaptive assessment and its breakdown prediction.","PeriodicalId":396155,"journal":{"name":"2018 9th International Conference on Information, Intelligence, Systems and Applications (IISA)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130381977","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

Neural Embeddings for Metaphor Detection in a Corpus of Greek Texts 基于神经嵌入的希腊文本隐喻检测

2018 9th International Conference on Information, Intelligence, Systems and Applications (IISA) Pub Date : 2018-07-01 DOI: 10.1109/IISA.2018.8633668

E. Florou, K. Perifanos, D. Goutsos

{"title":"Neural Embeddings for Metaphor Detection in a Corpus of Greek Texts","authors":"E. Florou, K. Perifanos, D. Goutsos","doi":"10.1109/IISA.2018.8633668","DOIUrl":"https://doi.org/10.1109/IISA.2018.8633668","url":null,"abstract":"One of the major challenges that NLP faces is metaphor detection, especially by automatic means, a task that becomes even more difficult for languages lacking in linguistic resources and tools. Our purpose is the automatic differentiation between literal and metaphorical meaning in authentic non-annotated phrases from the Corpus of Greek Texts by means of computational methods of machine learning. For this purpose the theoretical background of distributional semantics is discussed and employed. Distributional Semantics Theory develops concepts and methods for the quantification and classification of semantic similarities displayed by linguistic elements in large amounts of linguistic data according to their distributional properties. In accordance with this model, the approach followed in the current work takes into account the linguistic context for the computation of the distributional representation of phrases in geometrical space, as well as for their comparison with the distributional representations of other phrases, whose function in speech is already “known” with the objective to reach conclusions about their literal or metaphorical function in the specific linguistic context. This procedure aims at dealing with the lack of linguistic resources for the Greek language, as the almost impossible up to now semantic comparison between “phrases”, takes the form of an arithmetical comparison of their distributional representations in geometrical space.","PeriodicalId":396155,"journal":{"name":"2018 9th International Conference on Information, Intelligence, Systems and Applications (IISA)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121287074","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

Intelligent Tutoring Systems and Transparency: The Case of Children and Adolescents 智能辅导系统和透明度:以儿童和青少年为例

2018 9th International Conference on Information, Intelligence, Systems and Applications (IISA) Pub Date : 2018-07-01 DOI: 10.1109/IISA.2018.8633652

Eirini Mougiakou, Spyros Papadimitriou, M. Virvou

引用次数: 3

Particle Swarm Optimization and Applications in Robotics: A Survey 粒子群优化及其在机器人中的应用综述

2018 9th International Conference on Information, Intelligence, Systems and Applications (IISA) Pub Date : 2018-07-01 DOI: 10.1109/IISA.2018.8633635

Sotirios Spanogianopoulos

引用次数: 1

Improved Support Vector Regression Coupled with Fourier Self-Deconvolution in the Quantitative Analysis of Glucose in NIR Spectra 改进的支持向量回归与傅立叶自反卷积在近红外光谱中葡萄糖定量分析中的应用

2018 9th International Conference on Information, Intelligence, Systems and Applications (IISA) Pub Date : 2018-07-01 DOI: 10.1109/IISA.2018.8633670

Krishna Chaitanya Patchava, M. Benaissa, H. Behairy, S. Alshebeili

引用次数: 1

Overcoming Intelligently Some of the Drawbacks of Fuzzy Cognitive Maps 智能地克服模糊认知地图的一些缺陷

2018 9th International Conference on Information, Intelligence, Systems and Applications (IISA) Pub Date : 2018-07-01 DOI: 10.1109/IISA.2018.8633622

P. Groumpos

{"title":"Overcoming Intelligently Some of the Drawbacks of Fuzzy Cognitive Maps","authors":"P. Groumpos","doi":"10.1109/IISA.2018.8633622","DOIUrl":"https://doi.org/10.1109/IISA.2018.8633622","url":null,"abstract":"Today's physical and human made systems have become more and more complex and dynamic. The concept of complex dynamic systems (CDS) arises in many scientific fields, technological areas and everyday's problems. Modelling and controlling complex dynamic systems is a very difficult and challenging task. Theories of Fuzzy Cognitive Maps have been proposed and mathematically formulated as a new way to model and control complex dynamic systems. FCM theories have been used successfully in many applications, they still present several limitations. These limitations as well as the increasing complexity of the systems dictate the need to reapproach Fuzzy Cognitive Maps to make them more efficient. Well-known drawbacks and limitations of FCM are described and certain solutions to overcome them are given in an integrated and unified way. The state space approach is used to address these drawbacks and the concepts of the FCM are categorized into fuzzy state concepts, input concepts and output concept. A number of solutions to the drawbacks are provided. A novel innovative approach been called, Advanced FCM theories is presented. Conclusions are given and future research directions are provided.","PeriodicalId":396155,"journal":{"name":"2018 9th International Conference on Information, Intelligence, Systems and Applications (IISA)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128192819","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: 3

Deep Learning Techniques for Electronic Health Record Analysis 电子健康记录分析的深度学习技术

2018 9th International Conference on Information, Intelligence, Systems and Applications (IISA) Pub Date : 2018-07-01 DOI: 10.1109/IISA.2018.8633647

Luciano Caroprese, P. Veltri, E. Vocaturo, E. Zumpano

{"title":"Deep Learning Techniques for Electronic Health Record Analysis","authors":"Luciano Caroprese, P. Veltri, E. Vocaturo, E. Zumpano","doi":"10.1109/IISA.2018.8633647","DOIUrl":"https://doi.org/10.1109/IISA.2018.8633647","url":null,"abstract":"Following the general trend, the amount of digital information in the stored electronic health records (EHRs) had an explosion in the last decade. EHRs are not anymore used, as in the past, to store basic information of the patient and administrative tasks, but they may include a range of data, including the medical history of the patient, laboratory test results, demographics, medication and allergies, immunization status, radiology images, vital signs. At the present, the problem has shifted from collecting massive amounts of data to understanding it, i.e. use EHRs for turning data into knowledge, conclusions and actions. EHRs were not designed to forecast disease risk or disease progression or to determine the right treatment, but if they are combined with artificial intelligence (AI) algorithm this issue became possible. The need for tools allowing to construct predictive models capturing disease progression is a priority. In the recent past EHRs were analyzed using traditional machine learning techniques, whereas recently the progress in the field of deep learning let to the application of deep learning techniques to EHRs. This paper reports a brief overview of some recently developed deep learning tools for EHRs.","PeriodicalId":396155,"journal":{"name":"2018 9th International Conference on Information, Intelligence, Systems and Applications (IISA)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131949920","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: 26

A Novel Indoor Positioning Using Smart Luminaires 一种基于智能灯具的新型室内定位方法

2018 9th International Conference on Information, Intelligence, Systems and Applications (IISA) Pub Date : 2018-07-01 DOI: 10.1109/IISA.2018.8633636

Iuliana Marin, N. Goga, A. Vasilățeanu

引用次数: 1