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8183 articles

Implementing EW Receivers Based on Large Point Reconfigured FFT on FPGA Platforms

He Chen, Xiujie Qu, Yuedong Luo, Chenwei Deng
Pages: 1131 - 1139
This paper presents design and implementation of digital receiver based on large point fast Fourier transform (FFT) suitable for electronic warfare (EW) applications. When implementing the FFT algorithm on field-programmable gate array (FPGA) platforms, the primary goal is to maximize throughput and...
Conference Abstract

P88 Improvement in Functional Capacity with Spironolactone Masks the Treatment Effect on Exercise Blood Pressure

Myles Moore, Martin Schultz, James Hare, Thomas Marwick, James Sharman
Pages: S131 - S131
Background: A hypertensive response to submaximal exercise is associated with cardiovascular disease but may be influenced by functional capacity. Spironolactone may improve functional capacity, which could mask treatment effects on exercise blood pressure (BP). This study sought to examine this hypothesis. Methods:...

Where Should Mobile Health Application Providers Focus Their Goals?

Xiaojia Wang, Kuo Du, Keyu Zhu, Shen Xu, Shanshan Zhang
Pages: 1119 - 1131
In the context of “Internet +” medical treatment, mobile health applications provide services for people in a new way, making it possible for people to carry out health management anytime and anywhere. According to the survey data, the most powerful consumers in the field of mobile health applications...
Conference Abstract

P87 Ultra–high Frequency Ultrasound Assessment in Vascular Ehlers Danlos Syndrome: a Validation and Reproducibility Study

Rosa Maria Bruno, Magdalini Alexopoulou, Hakim Khettab, Xavier Jeunemaitre, Pierre Boutouyrie
Pages: S130 - S130
Background: In patients with Vascular Ehlers-Danlos syndrome (vEDS), an abnormally low carotid intima-media thickness (CIMT) may increase the risk of arterial dissection and rupture. Thus its accurate assessment by ultra–high frequency ultrasound (UHFUS), thanks to its higher spatial resolution, may...

Novel Approach to Tourism Analysis with Multiple Outcome Capability Using Rough Set Theory

Chun-Che Huang, Tzu-Liang (Bill) Tseng†, Kun-Cheng Chen
Pages: 1118 - 1132
To explore the relationship between characteristics and decision-making outcomes of the tourist is critical to keep competitive tourism business. In investigation of tourism development, most of the existing studies lack of a systematic approach to analyze qualitative data. Although the traditional Rough...
Conference Abstract

P86 Can Central Blood Pressure be Accurately Estimated in Individuals with and Without Systolic Blood Pressure Amplification?

Goupil Remi, Cédric Kowalski, Florence Lamarche
Pages: S129 - S129
Introduction: Systolic blood pressure (SBP) does not always amplify from central to peripheral arteries. Individuals without SBP amplification (SBPamp) have higher aortic blood pressure (BP) despite similar brachial cuff SBP. To circumvent this discrepancy, the aim of this study was to determine if aortic...

Computational Intelligence-based Entertaining Level Generation for Platform Games

Zahid Halim, Abdul Rauf Baig, Ghulam Abbas
Pages: 1128 - 1143
With computers becoming ubiquitous and high resolution graphics reaching the next level, computer games have become a major source of entertainment. It has been a tedious task for game developers to measure the entertainment value of the computer games. The entertainment value of a game does depend upon...
Conference Abstract

P85 Acute Systemic Inflammation Reduces both Carotid and Aortic Wave Reflection in Young Healthy Adults

Elizabeth Schroeder, Wesley Lefferts, Thessa Hilgenkamp, Bo Fernhall
Pages: S128 - S128
Acute inflammation increases the risk of cardiac and cerebrovascular events, potentially associated with altered hemodynamic load. Wave reflection at the aorta and carotid artery can contribute to central hemodynamic load and provide insight into downstream changes in vascular tone. Acute inflammation...

A Sparse Auto Encoder Deep Process Neural Network Model and its Application

Xu Shaohua, Xue Jiwei, Li Xuegui
Pages: 1116 - 1131
Aiming at the problem of time-varying signal pattern classification, a sparse auto-encoder deep process neural network (SAE-DPNN) is proposed. The input of SAE-DPNN is time-varying process signal and the output is pattern category. It combines the time-varying signal classification method of process...
Conference Abstract

P84 Prediction of Cardiovascular Events and Mortality by Pulse Wave Velocity: a Comparison of Invasive Measurements and Noninvasive Estimation Methods

Bernhard Hametner, Siegfried Wassertheurer, Christopher Clemens Mayer, Kathrin Danninger, Ronald Binder, Thomas Weber
Pages: S127 - S127
Introduction: Arterial properties are linked to the presence and severity of coronary artery disease (CAD). Coronary blood flow is strongly and inversely related to arterial stiffness. Thus, the aim of this prospective study was to evaluate the prognostic value of PWV in high-risk patients with suspected...
Conference Abstract

P83 Effect of Aging on the Aortic Reservoir and Excess Pressure in Normal Humans

Tetsu Yamakado, Hideyoshi Ko
Pages: S126 - S126
Background: Reservoir pressure analysis has been newly introduced to analyze arterial waveform and function. There are few data regarding the effect of aging on the aortic reservoir and excess pressures in normal humans. Objectives and Methods: To investigate this issue, we analyzed high-fidelity aortic...

Clustering bipartite graphs in terms of approximate formal concepts and sub-contexts

Bruno Gaume, Emmanuel Navarro, Henri Prade
Pages: 1125 - 1142
The paper first offers a parallel between two approaches to conceptual clustering, namely formal concept analysis (augmented with the introduction of new operators) and bipartite graph analysis. It is shown that a formal concept (as defined in formal concept analysis) corresponds to the idea of a maximal...
Conference Abstract

P82 Impaired Skin Microvascular Function in Systemic Lupus Erythematosus

Nikolaos Koletsos, Eugenia Gkaliagkousi, Antonios Lazaridis, Panagiota Anyfanti, Areti Triantafyllou, Konstantina Dipla, Panagiotis Dolgyras, Vasiliki Galanopoulou, Spyros Aslanidis, Stella Douma
Pages: S125 - S125
Objectives: Alterations in skin microcirculation have been associated with damage in various microvascular beds [1]. Endothelial dysfunction in microcirculation plays a central role in the pathophysiology of rheumatic diseases, contributing substantially to the increased cardiovascular risk of these...

Reduce Cost Smart Power Management System by Utilize Single Board Computer Artificial Neural Networks for Smart Systems

Sudad J. Ashaj, Ergun Erçelebi
Pages: 1113 - 1120
The plan and usage of a smart power management system for household and buildings that control numerous electrical appliances in real time have been reported in this work. The system is based on using artificial intelligence with low-cost single board computer in order to design a smart power management...
Research Article

P81 Antibody to Cardiotonic Steroid Reduces Blood Pressure and Vascular Fibrosis in Preeclampsia

NI Agalakova, VA Reznik, OV Nadei, IA Ershov, OS Rassokha, ML Vasyutina, MM Galagudza, AY Bagrov
Pages: S124 - S124
Background: Previous studies implicated cardiotonic steroids, including Na/K-ATPase inhibitor marinobufagenin (MBG), in the pathogenesis of preeclampsia (PE). We demonstrated that MBG induces fibrosis via mechanism involving inhibition of Fli1, a nuclear transcription factor and a negative regulator...

A new similarity measure based on Bayesian Network signature correspondence for brain tumors cases retrieval

Hedi Yazid, Karim Kalti, Najoua Essoukri Benamara
Pages: 1123 - 1136
Case retrieval constitutes an interesting area of research which contributes to the evolution of several domains. The similarity measure module is a fundamental step in the retrieval process which affects remarkably on a retrieval system. In this context, we suggest in this paper a similarity measure...

A case retrieval method combined with similarity measurement and DEA model for alternative generation

Jing ZHENG, Ying-Ming WANG, Kai ZHANG
Pages: 1123 - 1141
In alternative generation, reusing past experience is a potential methodology and case retrieval is a primary step. In order to improve the performance of case retrieval process, many applications have used different similarity measurements and the selection method for the most suitable historical case...
Conference Abstract

P80 Predictors of Middle Cerebral Artery Pulsatility Index in Chronic Obstructive Pulmonary Disease and Healthy Controls; Data from the ACRADE Study

Mahfoudha Al Shezawi, Maggie Munnery, John Cockcroft, Laura Watkeys, Eric Stohr, Nichola Gale, Barry McDonnell
Pages: S123 - S123
Background: Chronic obstructive pulmonary disease (COPD) is characterised by airway limitation which is an independent predictor of increased cardiovascular (CV) risk and mortality [1]. COPD is associated with increased arterial stiffness [2] and increased incidence of all stroke subtypes [3]. However,...

Robustness of general Triple I method for fuzzy soft sets

Lu Wang, Keyun Qin
Pages: 1111 - 1122
The stability and robustness analysis is a vital issue of fuzzy soft inference. In this paper, λ–Triple I inference methods based on the fuzzy soft modus ponens (FSMP) and fuzzy soft modus tollens (FSMT) are presented. The related computational formulas for inference conclusions with respect to the residual...

Assessment of Expressway Traffic Safety Using Gaussian Mixture Model based on Time to Collision

Sheng Jin, Xiaobo Qu, Dianhai Wang
Pages: 1122 - 1130
Traffic safety is of great significance, especially in urban expressway where traffic volume is large and traffic conflicts are highlighted. It is thus important to develop a methodology that is able to assess traffic safety. In this paper, we first analyze the time to collision (TTC) samples from traffic...
Conference Abstract

P79 Non-invasive Estimation of Central Pressures in Abdominal Aortic Aneurysm Patients and Changes in PWV After EVAR

Suzanne Holewijn, Lennart van de Velde, Jenske Vermeulen, Michel Reijnen
Pages: S122 - S122
Background: Abdominal aortic aneurysm (AAA) disease is mainly treated by endovascular aneurysm repair (EVAR) and PWV has been shown to increase after EVAR. Arterial stiffness is predictive of cardiovascular disease, but has not been investigated in AAA-patients. We investigated if central pressures (CP)...
Conference Abstract

P78 Endothelial Dysfunction and Arterial Stiffness During Type 2 Diabetes

Maimouna Toure, Magid Hallab, Souleymane Thiam, Sheikh AB Mane, Farid Belem, Abdoulaye Samb
Pages: S121 - S121
Objective: We aimed to study Endothelial dysfunction and Arterial Stiffness in Diabetes mellitus. Methods: 29 women with type 2 diabetes and 8 non-diabetic controls were included. Vascular function was studied with pOpmetre® (Axelife SAS-France) to assess the foot to toe Pulse Wave Velocity; and EndoPAT2000®...

Framework of Computational Intelligence-Enhanced Knowledge Base Construction: Methodology and A Case of Gene-Related Cardiovascular Disease

Yi Zhang, Mengjia Wu, Hua Lin, Steven Tipper, Mark Grosser, Guangquan Zhang, Jie Lu
Pages: 1109 - 1119
Knowledge base construction (KBC) aims to populate knowledge bases with high-quality information from unstructured data but how to effectively conduct KBC from scientific documents with limited preknowledge is still elusive. This paper proposes a KBC framework by applying computational intelligent techniques...

α-Generalized lock resolution method in linguistic truth-valued lattice-valued logic

Xingxing He, Yang Xu, Jun Liu, Shuwei Chen
Pages: 1120 - 1134
This paper focuses on effcient non-clausal resolution-based automated reasoning methods and algorithms for a lattice-ordered linguistic truth-valued logic, which corresponds to extensions of α-lock resolution. Firstly, α-generalized lock resolution is proposed for lattice-valued propositional...
Conference Abstract

P77 Long-term Effects of LDL Apheresis on Carotid Arterial Atherosclerosis in Two Severe Heterozygous Familial Hypercholesterolemic Patients

Ágnes Diószegi, Lilla Juhász, Bíborka Nádró, György Paragh, László Oláh, Dénes Páll, József Balla, Mariann Harangi
Pages: S120 - S120
The long-term effects of low-density lipoprotein (LDL) apheresis (LA) on the progression and regression of atherosclerosis were evaluated by carotid ultrasonography in two severe heterozygous familial hypercholesterolemic patients with carotid artery stenosis. Furthermore, the lipid-lowering efficacy...

The Red Colobuses Monkey: A New Nature–Inspired Metaheuristic Optimization Algorithm

Wijdan Jaber AL-kubaisy, Mohammed Yousif, Belal Al-Khateeb, Maha Mahmood, Dac-Nhuong Le
Pages: 1108 - 1118
The presented study suggests a new nature–inspired metaheuristic optimization algorithm referred to as Red Colobuses Monkey (RCM) that can be used for optimization problems; this algorithm mimics the behavior related to red monkeys in nature. In preparation for proving the suggested algorithm's...
Conference Abstract

P76 Carotid Artery Disease in Patients with Newly Diagnosed, Untreated Familial Hypercholesterolemia

Bíborka Nádró, Beáta Kovács, Ágnes Diószegi, Lilla Juhász, Dénes Páll, György Paragh, Mariann Harangi
Pages: S119 - S119
Familial hypercholesterolemia (FH) patients are characterized by markedly elevated LDL-cholesterol (LDL-C) concentration, positive family history of hypercholesterolemia and premature vascular complications including carotid artery disease (CAAD). Carotid plaques are associated with atherosclerosis of...
Conference Abstract

P74 Validation of Surface Distance Measurement by MRI for Pulse Wave Velocity in Children

Adrienn Bárczi, Arianna Dégi, Orsolya Cseprekál, Eva Kis, Ádám Szabó, Gábor Rudas, George S Reusz
Pages: S118 - S118
Background: Aortic pulse wave velocity (PWV) is the gold standard measurement for arterial stiffness. Normative values exist for PWV in children using the subtracted method (LSM) for the estimation of the distance, however no imaging validation studies in the growing pediatric population. The formula...
Conference Abstract

P73 The Relationship Between Different Measurements of Arterial Stiffness

Eszter Szabó, Krisztina Gáspár, Ildikó Szabó, Viktória Kovács, Zsuzsanna Pál, Gábor Simonyi, Endre Kolossváry, Katalin Farkas
Pages: S117 - S117
Background: Arterial stiffness is the characteristic of early vascular damage that can be measured by several methods. Sphygmocor determines the carotid-femoral pulse wave velocity (PWV). Cardio-ankle vascular index (CAVI) also measures PWV between heart and ankle, independently of blood pressure. According...

CRACK LOCALIZATION IN HYDRAULIC TURBINE BLADES BASED ON KERNEL INDEPENDENT COMPONENT ANALYSIS AND WAVELET NEURAL NETWORK

Xianghong Wang, Hanling Mao, Hongwei Hu, Zhiyong Zhang
Pages: 1116 - 1124
Hydraulic turbine runner has a complex structure, and traditional location methods can't meet its requirement. This paper describes a source location of cracks in turbine blades by combining kernel independent component analysis (KICA) with wavelet neural network (WNN). The research shows that the location...

Secure and Efficient Biometric-Data Binarization using Multi-Objective Optimization

Eslam Hamouda, Xiaohui Yuan, Osama Ouda, Taher Hamza
Pages: 1116 - 1127
Biometric system databases are vulnerable to many types of attacks. To address this issue, several biometric template protection systems have been proposed to protect biometric data against unauthorized use. Many of biometric protection systems require the biometric templates to be represented in a binary...
Conference Abstract

P72 Vascular Aging Prediction in High Cardiovascular Risk Cohort

Agne Laucyte-Cibulskiene, Ligita Ryliskyte, Milda Kovaite, Laurynas Rimsevicius, Laura Balkeviciene, Jolita Badariene, Aleksandras Laucevicius
Pages: S116 - S116
Aim: To assess a time-dependent change of arterial stiffness gradient (PWVratio calculated by dividing carotid-femoral to carotid-radialPWV), a marker of vascular aging, in high cardiovascular risk cohort. Methods: This cohort study (n = 689) was conducted during the period 2010–2019 at Vilnius University...
Conference Abstract

P71 The Interrelationship Between the Alteration of Arterial Markers and Left Ventricular Diastolic Dysfunction in Metabolic Syndrome Subjects

Svetlana Solovjova, Ligita Ryliskyte, Jelena Celutkiene, Jolita Badariene, Aleksandras Laucevicius
Pages: S115 - S115
We aimed to determine how the alteration of arterial stiffness (AS) affects the dynamics of left ventricular (LV) diastolic dysfunction (DD) in metabolic syndrome (MetS) subjects during longitudinal observation (3.8 ± 0.6 years). Methods: A follow-up study was carried out in 573 (53.4 ± 5.8 years, 211...
Conference Abstract

P70 Effects of Different Vitamin D Status on Mechanical, Pharmacological and Histological Characteristics of Coronary Arterioles in Male Rat Model

Reka Eszter Sziva, Zoltan Fontanyi, Eva Pal, Leila Hadjadj, Anna Monori-Kiss, Eszter Maria Horvath, Rita Benko, Attila Magyar, Andrea Heinzlmann, Zoltan Benyo, Gyorgy L. Nadasy, Szabolcs Varbiro, Bálint Bányai
Pages: S114 - S114
Objectives: The cardiovascular/CV risk is higher in males. To know better these increased risks, our aim was to investigate the effects of different vitamin D/VD status on mechanical, pharmacological and histological characteristics of coronary arterioles in male rat model. Methods: In male Wistar-rats...

An Enhanced Jaya Algorithm with a Two Group Adaption

Chibing Gong
Pages: 1102 - 1115
This paper proposes a novel performance enhanced Jaya algorithm with a two group adaption (E-Jaya). Two improvements are presented in E-Jaya. First, instead of using the best and the worst values in Jaya algorithm, E-Jaya separates all candidates into two groups: the better and the worse groups based...

A Decision Making Approach with Linguistic Weight and Unavoidable Incomparable Ranking

Yunxia Zhang, Degen Huang, Wei Gao, Vassilis G. Kaburlasos
Pages: 1102 - 1112
In order to deal with the decision making problem including some linguistic values uncertainty information, we propose an approach for decision making with linguistic weighted and unavoidable incomparable ranking based on Linguistic-valued lattice implication algebra (LV-LIA). The properties of binary...
Conference Abstract

P69 The Initial Upstroke Time is Most Strongly Associated with the Severity of as Among Brachial Pulse Wave Parameters

Masao Takahashi, Kyohei Fukatani, Tomoyuki Kabutoya, Satoshi Hoshide, Tatsuya Yoneyama, Tetsuya Ito, Kazuomi Kario
Pages: S113 - S113
Background: Aortic valve stenosis (AS) is the most common valve disease in an elderly population, therefore, simple screening examination for AS is needed. Although a prolonged carotid upstroke time (UT), and prolonged ejection time (ET) of a brachial pulse wave (BPW) have been observed in severe AS...

Recommending degree studies according to students’ attitudes in high school by means of subgroup discovery

Amin Y. Noaman, José María Luna, Abdul H. M. Ragab, Sebastián Ventura
Pages: 1101 - 1117
The transition from high school to university is a critical step and many students head toward failure just because their final degree option was not the right choice. Both students’ preferences and skills play an important role in choosing the degree that best fits them, so an analysis of these attitudes...

Scalable Real-Time Attributes Responsive Extreme Learning Machine

Hongbo Wang, Yuejuan Yao, Xi Liu, Xuyan Tu
Pages: 1101 - 1108
Extreme learning machine (ELM) has recently attracted many researchers' interest due to its very fast learning speed, and ease of implementation. Its many applications, such as regression, binary and multiclass classification, acquired better results. However, when some attributes of the dataset...
Conference Abstract

P68 Usefulness of an Optimal Cut-off in Central Augmentation Pressure for the Detection of Left Ventricular Hypertrophy in Men

Masakazu Obayashi, Shigeki Kobayashi, Hirotaka Yamamoto, Yoriomi Hamada, Takumi Nanno, Michihiro Kohno, Masafumi Yano
Pages: S112 - S112
Background: Recently, we showed an age-related increase in augmentation pressure (AP) measured using Mobil-O-Graph (MOG) in normotensive Japanese individuals. However, AP might be a poor index of wave reflection due to the overlap between the forward wave and reflected wave. Methods: We enrolled untreated...
Conference Abstract

P67 Detecting Preload Reduction with Machine Learning on Arterial Waveform Parameters

Björn van der Ster, Marije Wijnberge, Marthe Huntelaar, Job de Haan, Koen van der Sluijs, Denise Veelo, Berend Westerhof
Pages: S111 - S111
Background: Hemodynamic optimization of unstable patients by means of fluid resuscitation improves patient outcome, but choosing the correct amount of fluid can be difficult. Too little fluid may not ensure adequate perfusion whereas too much fluid is associated with increased mortality. Static parameters...

A Generalized Dynamic Model of Geared System: Establishment and Application

Hui Liu, Mingzheng Wang, Zhongchang Cai
Pages: 1110 - 1121
In order to make the dynamic characteristic simulation of the ordinary and planetary gears drive more accurate and more efficient , a generalized dynamic model of geared system is established including internal and external mesh gears in this paper. It is used to build a mathematical model, which achieves...
Conference Abstract

P66 Mathematical Model of the Renal Microcirculation and Effects of Chronic Kidney Disease

Nikolaos Fountoulakis, Karla Sanchez-Cazares, Kim Parker, Janaka Karalliedde
Pages: S110 - S110
Background: Diabetes is one of the leading causes of chronic kidney disease (CKD) worldwide. CKD is directly linked to increased morbidity and mortality. The role of vascular changes in diabetes and underlying mechanism of kidney disease is not well understood. Methods: We present a mathematical model...

A Dynamic Pricing Model for a Maritime Transportation Service Provider

Seda Coşgun, Özlem Coşgun, Yeliz Ekinci
Pages: 1109 - 1119
In this study, the dynamic pricing optimization problem faced by the maritime transportation service provider company is considered. The aim is to find optimal prices for each journey for each level of unsold seats by using probabilistic dynamic programming. Conjoint analysis is used to identify the...

Optimal Robot Path Planning for Multiple Goals Visiting Based on Tailored Genetic Algorithm

Fei Liu, Shan Liang, Xiaodong Xian
Pages: 1109 - 1122
In real applications, mobile robot may be commanded to go to multiple goals to execute special commissions. This study analyzes the particular properties of this multiple goals visiting task and proposes a novel tailored genetic algorithm for optimal path planning for this task. In proposed algorithm,...

Alphanumeric Character Recognition Based on BP Neural Network Classification and Combined Features

Yong Luo, Shuwei Chen, Xiaojuan He, Xue Jia
Pages: 1108 - 1115
This paper puts forward a new method of alphanumeric character recognition based on BP neural network classification and combined features. This method firstly establishes three BP networks respectively for three categories of characters which are classified according to their Euler numbers, with the...
Research Article

P65 A Beat-to-Beat Quality Indicator Based on Piecewise Spatiotemporal Estimates of Carotid Pulse Wave Velocity Improves Correlation with Pulse Pressure

Fabian Beutel, Chris Van Hoof, Evelien Hermeling
Pages: S108 - S109
Background: Local carotid pulse wave velocity (PWV) estimation is challenging due to a complex anatomy and associated wave reflections [1]. Wave interference is both blood pressure (BP) and position dependent, hence causing nonlinearity in the spatiotemporal PWV estimation [2]. In lack of beat-to-beat...
Conference Abstract

P64 Carotid Artery Tracking with Automated Wall Position Resets Yields Robust Distension Waveforms in Long-term Ultrasonic Recordings

Fabian Beutel, Laura Mansilla Valle, Chris Van Hoof, Evelien Hermeling
Pages: S106 - S107
Background: Carotid artery tracking has high clinical relevance for the investigation of arterial stiffness indicators like Pulse Wave Velocity (PWV). However, current tracking systems are unreliable and/or not fully automated [1,2]. In this work we propose a novel wall tracking algorithm for long-term...
Conference Abstract

P63 Accuracy (Validation) of Central Blood Pressure Measurement Using the Sphygmocor Xcel-cuff Device

Martin Schultz, Dean Picone, Matthew Armstrong, Andrew Black, Nathan Dwyer, Philip Roberts-Thomson, James Sharman
Pages: S105 - S105
Background: Numerous devices purport to measure central aortic BP as distinct from conventional brachial BP. This study aimed to determine the accuracy (validation) of the Sphygmocor Xcel-cuff device (AtCor Medical, Sydney, Australia) for measuring central BP. Methods: 330 patients (mean age 61.3 ±...

Birkhoff's aesthetics, Arnheim's entropy. Some remarks on complexity and fuzzy entropy in arts

Marco Elio Tabacchi, Settimo Termini
Pages: 1103 - 1115
A judgement of aesthetic in arts is, by sheer consensus, a daunting task that requires evaluation of a whole host of endogenous and exogenous cultural factors. A few of them can actually provide very useful hints in tackling foundational problems in Information Science in a more natural setting than...