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Original Paper | 31-March-2014

Handedness, cognitive processing and intelligence in patients with epilepsy

Introduction. The current knowledge of significance of some neurobiological and clinical variables for the development of cognitive deterioration in patients with epilepsy remains sparse and controversial. Aim. The current study has been carried out in order to elucidate the role of handedness in terms of influence on cognitive processing and intelligence in patients with epilepsy. Material and methods. One hundred and thirty two patients (62 males, 70 females, aged 27.8 ± 8.9 years

Vladimir V. Kalinin, Daniya M. Nazmetdinova, Alexander V. Basamygin

Journal of Epileptology, Volume 22 , ISSUE 1, 5–10

Research Article | 06-July-2018

The eight qualities of successful intelligence in gifted Māori students.

This article describes the eight qualities of successful intelligence demonstrated by gifted Māori students who attended schools in one tribal area (Te Arawa) in Rotorua, New Zealand. The article will illustrate the ways, throughout history, that Te Arawa have conceptualised, and successfully utilised, their successful intelligence in the service of themselves, their whānau (family) and their hapu and iwi (sub-tribe and tribal communities). Firstly, this article explains the long history of

Melinda Webber

Apex, Volume 19 , ISSUE 1, 91–114

Research Article | 23-October-2017

SOLVING TRANSPORT LOGISTICS PROBLEMS IN A VIRTUAL ENTERPRISE THROUGH ARTIFICIAL INTELLIGENCE METHODS

The paper offers a solution to the problem of material flow allocation within a virtual enterprise by using artificial intelligence methods. The research is based on the use of fuzzy relations when planning for optimal transportation modes to deliver components for manufactured products. The Fuzzy Logic Toolbox is used to determine the optimal route for transportation of components for manufactured products. The methods offered have been exemplified in the present research. The authors have

Vitaliy PAVLENKO, Tetiana PAVLENKO, Olga MOROZOVA, Anna KUZNETSOVA, Olena VOROPAI

Transport Problems, Volume 12 , ISSUE 2, 31–42

Article | 07-April-2018

Method of Determining Relevance of Changing Processes of Condition Building Parameters

In the modern world it is increasingly referred to the concept of intelligent building. Intelligent building referred to above all energy-efficient building, using alternative energy sources, as well as equipped with modern energy efficient technologies that reduce the energy consumption of the building in general. But for all the time and does not set forth a definition of intelligence buildings, which leads to different opinions and approaches to the understanding of the term.

Anna Doroshenko, Andrey Volkov

International Journal of Advanced Network, Monitoring and Controls, Volume 2 , ISSUE 1, 115–119

Article | 31-December-2020

APPLICATION OF EYE-TRACKING TECHNOLOGY AS A DIAGNOSTIC TOOL FOR ASSESSING FLIGHT OPERATORS. PART 2: A STUDY OF QUALITIES IMPORTANT FOR OPERATORS IN THE AVIATION INDUSTRY

This paper is based on the results of an experiment aimed at studying attention distribution and switching among students using a stationary eye-tracking device. The hypothesis was that the operator’s distraction tolerance should be influenced by his or her general mental strength; temperament, which is a derivative of the characteristics of the nervous system; and the level of intelligence, as a general indicator of the state of the nervous system. In addition, the paper discusses the

Olga ARINICHEVA, Natalia LEBEDEVA, Aleksei MALISHEVSKII

Transport Problems, Volume 15 , ISSUE 4, Part 1, 5–18

Research Article | 01-September-2017

AN INTELLIGENCE SUPER MART BILLLING SYSTEM

S. Mekala, M. Thanagaraj, M. Chandranath, K.K.Vasanta Kumaran

International Journal on Smart Sensing and Intelligent Systems, Volume 10 , ISSUE 5, 414–425

Article | 01-March-2015

CYBER-AWARENESS IMPROVEMENT USING ARTIFICIAL INTELLIGENCE TECHNIQUES

Soorena Merat, Wahab Almuhtadi

International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 1, 620–636

Article | 06-November-2017

A REVIEW OF ARTIFICIAL FISH SWARM OPTIMIZATION METHODS AND APPLICATIONS

The Swarm Intelligence is a new and modern method employed in optimization problems. The Swarm Intelligence method is based on the en masse movement of living animals like birds, fishes, ants and other social animals. Migration, seeking for food and fighting with enemies are social behaviors of animals. Optimization principle is seen in these animals. The Artificial Fish Swarm Optimization (AFSA) method is one of the Swarm Intelligence approaches that works based on the population and

Mehdi Neshat, Ali Adeli, Ghodrat Sepidnam, Mehdi Sargolzaei, Adel Najaran Toosi

International Journal on Smart Sensing and Intelligent Systems, Volume 5 , ISSUE 1, 108–148

Article | 07-May-2018

Research on AORBCO Model and It’s Description Language

This paper improves the AORBCO model based on the four characteristics of intelligence-self conscious, mutual representation, fuzziness and dynamics, and designs a description language of AORBCO model. The language describes the self-consciousness of an agent with its’ five components-belief, desire, ability, planning and behavior control mechanism. The components of entities including acquaintances of an agent and objects known by the agent are as the starting point to characterize the mutual

Zhi Min, Luo Junmin, Gao Wuqi

International Journal of Advanced Network, Monitoring and Controls, Volume 3 , ISSUE 1, 101–105

Article | 23-April-2018

Design of Control System of Physical Fitness Treadmill Based on Embedded Technology

Treadmill is the commonest method to get a good health, but traditional treadmill has limited functions and low intelligence. While embedded technology implements special function and is controlled by internal computer system. Putting embedded technology into treadmill can enhance the intelligence and add extra functions. In this paper, system structure and work way of treadmill were analyzed scientifically through embedded technology and the design of controlling system. The system hardware

Jiujian Cui, Yan Wu

International Journal of Advanced Network, Monitoring and Controls, Volume 2 , ISSUE 4, 171–175

Article | 01-April-2018

Research on Aorbco Model

The characteristics of human mind are summarized up after the structure, functions and the working procedure of the eight consciousnesses and the human knowledge structure in consciousness-only psychology have been introduced. The limit of artificial intelligence, processing the formalized partial information, is proposed based on the analysis of elements of human intelligence simulated with computers and the development tendency of programming languages. The digital world model and the

Luo Junmin, Lu Wenhua

International Journal of Advanced Network, Monitoring and Controls, Volume 1 , ISSUE 2, 1–19

Article | 12-April-2018

Research and Application of an Intelligent Decision Support System

This paper discusses a new decision-support system that integrates data warehouse, knowledge warehouse and model warehouse. Contrast to the fixed model of the old decision-support system and its limited application, the new system can overcome the shortcoming of the old system efficiently, and also it can simplify model-obtaining and coding. So the new system strengthens the effectiveness, intelligence and efficiency of the decision.

Xiaoqing Zhou, Zhiyong Zhou, Jianqiong Xiao, Jiaxiu Sun

International Journal of Advanced Network, Monitoring and Controls, Volume 2 , ISSUE 3, 141–144

Article | 01-June-2012

A NEW KIND OF PSO: PREDATOR PARTICLE SWARM OPTIMIZATION

Today, swarm intelligence is widely used in optimization problems. PSO is one the best swarm intelligence methods. In the method, each particle moves toward the direction in which the best individual and group experience has happened. The most important disadvantage of this method is that it falls in local optima. To fix the problem, a metaheuristic method is proposed in this paper. There has always been a competition between prey and predator in the nature. Little birds often fly in a colony

Mehdi Neshat, Mehdi Sargolzaei, Azra Masoumi, Adel Najaran

International Journal on Smart Sensing and Intelligent Systems, Volume 5 , ISSUE 2, 521–539

Article | 01-June-2014

PRESENT RESEARCH SITUATIONS AND FUTURE PROSPECTS ON BIOMIMETIC ROBOT FISH 

As mankind steps into the 21st century, the exploration of the ocean also enters a new phase. In the recent decades, the research on biomimetic robot fish has attracted scientific communities’ attention increasingly. With its character of high flexibility and intelligence, biomimetic robot fish have become one of the research focuses in the field of underwater robots in ecent years. This paper mainly describes the classification of propulsion modes and the corresponding characteristics, the

Hongli Liu, Yufeng Tang, Qixin Zhu, Guangming Xie

International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 2, 458–480

Research Article | 21-April-2017

Multicriteria vehicle routing problem solved by artificial immune system

Bogna MRÓWCZYŃSKA

Transport Problems, Volume 10 , ISSUE 3, 141–152

Original Paper | 31-March-2015

Variations in cognitive functioning in genetic generalized epilepsy: four case studies

typically began reflexive seizure episodes with facial myoclonia which evolved into tonic-clonic convulsions or generalized myoclonic seizures. These patients had widespread attention and working memory deficits, some severe, together with lowered intelligence scores. In contrast, two other cases (with no history of myoclonus) had generalized reflexive seizures originating in the occipital lobes, very mild localized visual dysfunction and high intelligence. Conclusions. The systematic variation in

Evangelina E. Ballini, Edward Helmes, Bruce K. Schefft

Journal of Epileptology, Volume 23 , ISSUE 1, 25–37

Article | 11-April-2018

Research on the application of dynamic fuzzy logic in intelligent knowledge base system

With the Big data under the background of artificial intelligence --AI is increasingly popular, the core role of knowledge base system experts in the increasingly emerge, but whether the automatic driving or artificial recognition need to deal with a lot of expert knowledge data AI, and the expert knowledge not only is fuzzy, and has dynamic. This paper from a new perspective, a comprehensive interpretation of the dynamic fuzzy system theory, and the theory of dynamic fuzzy dynamic fuzzy on the

Wang Tao

International Journal of Advanced Network, Monitoring and Controls, Volume 2 , ISSUE 3, 89–92

Research Article | 20-February-2013

A VERSATILE LATTICE BASED MODEL FOR SITUATION RECOGNITION FROM DYNAMIC AMBIENT SENSORS

Sangeeta Mittal, Krishna Gopal, S.L. Maskara

International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 1, 403–432

Article | 14-October-2020

Hierarchical Image Object Search Based on Deep Reinforcement Learning

Wei Zhang, Hongge Yao, Yuxing Tan

International Journal of Advanced Network, Monitoring and Controls, Volume 5 , ISSUE 3, 65–72

Research Article | 27-December-2017

Hybrid Intelligent Method of Identifying Stator Resistance of Motorized Spindle

Aiming at the problem that changes of nonlinear dynamic resistance of stator affect the performance of speed sensorless vector control system, a hybrid computing intelligence approach is used in the identification of stator resistance of motorized spindle. The partial least squares (PLS) regression is combined with neural network to solve the problem of few samples and multi-correlation of variables in complicated data modeling. The PLS method is used to extract variable components from sample

Lixiu Zhang, Yuhou Wu, Ke Zhang

International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 2, 781–797

Article | 07-April-2018

Seven-spot Ladybird Optimization Algorithm Based on Bionics Principle

For solving the problems of modern intelligence algorithms such as slow convergence and low precision, a new algorithm based on bionics principle has been proposed which is inspired by the foraging behavior of seven-spot ladybirds in the nature. By analyzing the bionic principle of Seven-spot ladybird Optimization(SLO), we simulate the region search pattern of predation of seven-spot ladybirds ,combining fast extensive search with careful and slow intensive search of the ladybirds,meanwhile we

Wei Feng-tao, Lu Feng-yi, Zheng Jian-ming

International Journal of Advanced Network, Monitoring and Controls, Volume 2 , ISSUE 1, 49–58

Research Article | 06-July-2018

A Profile Portraying a Contemporary Young Gifted Child

reason is very mature for her age. Kate’s artwork is exceptionally advanced with great depth to her attention to detail. Through examples and the lens of Gardner’s Multiple Intelligences theory, the researcher has illustrated how Kate can be identified as universally gifted, not just academically through a traditional intelligence test, but in her creativity, artwork and sporting abilities.    

Jo Dean

Apex, Volume 16 , ISSUE 1, 26–36

Article | 18-June-2020

PROBLEMS OF ANALYST COMPETENCY FORMATION FOR MODERN TRANSPORT SYSTEMS

into account many different factors, process large amounts of information and solve multi-criteria tasks in transport companies for all management functions. Creation of digital analytical competency for transportation systems represents a new direction of the educational and training programs that must include courses in modern assessment and forecasting methods, big data operation, machine learning, neuron networks and other approaches in artificial intelligence area. This article describes a new

Svetlana LYAPINA, Valentina TАRASOVA, Marina FEDOTOVA

Transport Problems, Volume 15 , ISSUE 2, 71–82

Article | 30-November-2019

Design and Research of Security System in University Laboratory

Ding Li, Shi Xuerong, Zhang Dujuan, Su Yulei

International Journal of Advanced Network, Monitoring and Controls, Volume 5 , ISSUE 2, 39–46

Article | 28-August-2018

A HIGH-PERFORMANCE COMPUTING (HPC) BASED INTEGRATED MULTITHREADED MODEL PREDICTIVE CONTROL (MPC) FOR WATER SUPPLY NETWORKS

Krzysztof GASKA, Agnieszka GENEROWICZ, Izabela ZIMOCH, Józef CIUŁA, Zsuzsanna IWANICKA

Architecture, Civil Engineering, Environment, Volume 10 , ISSUE 4, 141–151

Article | 05-September-2013

OPTIMAL SINK NODE ALLOCATION FOR BALANCING COMMUNICATION LOAD IN A WIRELESS SENSOR NETWORK

-control type of sink node allocation method to distribute the load on sensor nodes. By using an improved sequential activation method and the artificial bee colony algorithm, which is a type of swarm intelligence algorithm, we assign sensor nodes that should be driven on the network and perform appropriate control of their communications radii. The results of evaluation experiments done by computer simulation have confirmed that the proposed method provides sink node allocation candidates within a

Masato Noto, Seiji Yoneda

International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 4, 1533–1558

Article | 01-June-2016

NOVEL SVDD-BASED ALGORITHM FOR MOVING OBJECT DETECTING AND TRACKING UNDER DYNAMIC SCENES

Object detecting and tracking is an important technique used in diverse applications of machine vision, and has made great progress with the prevalence of artificial intelligence technology, among which the detecting and tracking moving object under dynamic scenes is more challenging for high requirements on real-time performance and reliability. Essentially analyzing, object detecting and tracking need to classify the objects and background into two different categories according to different

Chunxiang Wang, Dongfang Xu, Yongqing Wang

International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 2, 1130–1155

research-article | 30-November-2019

Machine-to-machine and cell-to-cell traffic handling using relay and carrier aggregation prioritize on LTE-A PRO network

Vuyo Pana, Vipin Balyan, Ben Groenewald

International Journal on Smart Sensing and Intelligent Systems, Volume 13 , ISSUE 1, 1–9

Research Article | 01-September-2017

TEMPORAL QUERY PROCESSIG USING SQL SERVER

data are at the heart of a broad range of business and network intelligence applications ranging from consumer behaviour analysis, trend analysis, temporal pattern mining, and sentiment analysis on social media, cyber security, and network monitoring. Social networks (SN) such as Facebook, twitter, LinkedIn contains huge amount of temporal information. Social media forms a dynamic and evolving environment. Similar to real-world friendships, social media interactions evolve over time. People join or

Mastan Vali Shaik, P Sujatha

International Journal on Smart Sensing and Intelligent Systems, Volume 10 , ISSUE 5, 495–505

Research Article | 01-June-2011

DESIGN AN INTELLIGENT CONTROLLER FOR FULL VEHICLE NONLINEAR ACTIVE SUSPENSION SYSTEMS

The main objective of designed the controller for a vehicle suspension system is to reduce the discomfort sensed by passengers which arises from road roughness and to increase the ride handling associated with the pitching and rolling movements. This necessitates a very fast and accurate controller to meet as much control objectives, as possible. Therefore, this paper deals with an artificial intelligence Neuro-Fuzzy (NF) technique to design a robust controller to meet the control objectives

A. A. Aldair, W. J. Wang

International Journal on Smart Sensing and Intelligent Systems, Volume 4 , ISSUE 2, 224–243

Research Article | 27-December-2017

DEVELOPMENT OF NEURAL NETWORK-BASED ELECTRONIC NOSE FOR HERBS RECOGNITION

The ability to classify distinctive odor pattern for aromatic plants species provides significant impact in food industry especially for herbs. Each herbs species has a unique physicochemical and a distinctive odors. This project emphasizes on the techniques of artificial intelligence (AI) to distinguish distinctive odor pattern for herbs. Neural Network method has been exploited for the classification and optimization of various odor patterns. Based on AI techniques, Neural Network-based

A. Che Soh, K. K.Chow, U. K. Mohammad Yusuf, A. J. Ishak, M. K. Hassan, S. Khamis

International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 2, 584–609

Research Article | 01-December-2011

BOTTOM-UP APPROACH FOR BEHAVIOR ACQUISITION OF AGENTS EQUIPPED WITH MULTI-SENSORS

While the top-down approach of artificial intelligence encounters the frame problem, the bottom-up approach based on a creature’s evolution and behavior is effective for robotic design of intellectual behavior in a specific field. We propose the Evolutionary Behavior Table System (EBTS) using a simple genetic algorithm (SGA) to acquire the autonomous cooperative behavior of multi-agents as the bottom-up approach. In EBTS, a set of rules is expressed as a table composed of sensor input columns

Naoto Hoshikawa, Masahiro Ohka, Hanafiah Bin Yussof

International Journal on Smart Sensing and Intelligent Systems, Volume 4 , ISSUE 4, 583–606

Research Article | 30-November-2012

Recognition Memory for High and Low Associative Stimuli in Autistic Individuals with Outstanding Memory Skill

recognition performance for high and low associative stimuli and superior memorizing of nonsense material compared to control participants.Seven autistic memory experts and seven typically developed control subjects, matched according to age, sex, handedness, and full-scale intelligence quotient (IQ), were examined on a continuous old-new recognition paradigm, including high or low associative pseudowords and shapes. Memory expertise was characterized as a currently present outstanding memory skill above

Nicola Neumann, Christoph Braun, Anna M. Dubischar-Krivec, Sven Bölte

Scandinavian Journal of Child and Adolescent Psychiatry and Psychology, Volume 1 , ISSUE 2, 43–50

research-article | 28-September-2020

Ultrasound methods of imaging atherosclerotic plaque in carotid arteries: examinations using contrast agents

examination is a highly subjective procedure whose result depends to a large extent on the experience of the examiner and the quality of the equipment used. Contrast-enhanced ultrasound allows one to determine the presence of neovascularisation in an objective manner; thus, the presence of active inflammation can be demonstrated beyond doubt, which is an inherent feature of unstable (vulnerable) plaque. Current attempts at making CEUS more objective with the help of artificial intelligence (AI) will make

Andrzej Fedak, Robert Chrzan, Ositadima Chukwu, Andrzej Urbanik

Journal of Ultrasonography, Volume 20 , ISSUE 82, 191–200

Research Article | 30-November-2013

Toward the Successful Employment of Adults with Autism: A First Analysis of Special Interests and Factors Deemed Important for Vocational Performance

Adults with autism spectrum disorders (ASDs) and with intelligence quotients in the normal range are disproportionately affected by unemployment.We sought to assess special interests that could bear potential for employment as well as factors deemed relevant for work performance in adults with ASD.A newly compiled self-report online questionnaire was administered to high-functioning adults with ASD to assess special interests as well as factors that both interfere with and facilitate work

Jennifer Christina Kirchner, Isabel Dziobek

Scandinavian Journal of Child and Adolescent Psychiatry and Psychology, Volume 2 , ISSUE 2, 77–85

Article | 07-November-2017

Physical and Virtual Intelligent Sensors for Integrated Health Management Systems

the next generation of smart devices that have embedded intelligence for distributed decision making capabilities.

Ajay Mahajan, Christopher Oesch, Haricharan Padmanaban, Lucas Utterback, Sanjeevi Chitikeshi, Fernando Figueroa

International Journal on Smart Sensing and Intelligent Systems, Volume 5 , ISSUE 3, 559–575

Article | 30-November-2018

Detection of Blink State Based on Fatigued Driving

Lei Chao, Wang Changyuan, Li Guang, Shi Lu

International Journal of Advanced Network, Monitoring and Controls, Volume 4 , ISSUE 4, 24–29

Research Article | 30-November-2013

How do Girls with Low Functioning Autism Compare to Boys with Autism and Typically Developing Girls with regard to Behavior, Cognition, and Psychopathology?

: girls with ASD (N = 27), boys with ASD (N = 27), and typically developing girls (N = 17). Their ages ranged from 7 to 19 years old. The majority of individuals in the ASD sample had an intelligence quotient of less than 70. Participants were assessed on standard social cognition and attention to detail tasks. Parents completed behavior questionnaires.Mean levels of autism symptoms were not significantly different for boys and girls with ASD, and they were significantly higher than those of typically

Camilla Nguyen, Angelica Ronald

Scandinavian Journal of Child and Adolescent Psychiatry and Psychology, Volume 2 , ISSUE 2, 55–65

Article | 30-November-2018

Application of Wireless Return Topology Planning Based on K-Means

Weixia Yang, He Li, Yuan Chen, Fei Xu

International Journal of Advanced Network, Monitoring and Controls, Volume 4 , ISSUE 2, 61–68

Research Article | 05-July-2017

Changes in the frequency and characteristics of children diagnosed with autistic disorder in two Norwegian cohorts: 1992 and 2009

the children when initial concerns were addressed and AD diagnoses made.Method:We compared the case records of children between the ages of 1 and 17 years who were residing in Nordland County, Norway, and who were diagnosed with AD during two different data collection periods: 1992 (Cohort 1) and 2009 (Cohort 2).Results:In Cohort 1, 28 children were diagnosed with AD; 71 children in Cohort 2 received AD diagnoses. The increase was greatest among children with intelligence quotient (IQ) values of

Sidsel Romhus, Gyro Aas Herder, Elisabeth Grindheim, Synnve Schjølberg, Patricia Howlin

Scandinavian Journal of Child and Adolescent Psychiatry and Psychology, Volume 5 , ISSUE 1, 3–12

research-article | 12-April-2019

Pragmatic language impairment general and specific associations to mental health symptom dimensions in a child psychiatric sample

next two non-externalized (other) problems, and the last three can be combined into the ‘Externalized Problems’ and altogether they are combined into the ‘Total Problems’. The Norwegian version of WISC-III (Wechsler Intelligence Scale for Children, third version) (29) was used as a measure of intelligence based on Swedish norms for the total score and 12 subscales. Procedure Written information with a consent form was sent to parents of all patients referred to a child psychiatry clinic over a 12

Edel Brenne, Tormod Rimehaug

Scandinavian Journal of Child and Adolescent Psychiatry and Psychology, Volume 7 , 3–12

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