Article | 07-May-2018
As the manufacturing of vast amount of information transmits at an unprecedented rate, traditional learning is no way to meet the needs of open learning and lifelong learning, how can distance learning be used to help us study become a problem to think about. Distance learning requires improvement of interactivity and initiative to achieve their aptitude. Using a variety of formats data, learners master the initiative in the learning process, it is not easy to lead to deviation from the
Yanfang Fu,
Xing Li,
Xueyao Feng,
Jing Ma
International Journal of Advanced Network, Monitoring and Controls, Volume 3 , ISSUE 2, 33–39
Article | 09-June-2019
The New Zealand Ministry of Education is requiring that all primary school “new builds” and renovations be Innovative Learning Environments (ILEs), and within these spaces there is an expectation that personalised learning is to be implemented. This qualitative study involved an investigation of practice in three Auckland primary schools where an innovative learning environment existed and personalised learning was being implemented. In each setting, a school leader and a teacher
Carol Cardno,
Emma Tolmie,
Jo Howse
Journal of Educational Leadership, Policy and Practice, Volume 33 , ISSUE 1, 111–124
Article | 14-October-2020
information transmitted to us by vision, and only part of the information in these visual images is what human need. Therefore, by extracting the important information, positioning and identifying them accurately, human can greatly reduce the amount of data that the computer needs to process and improve the efficiency of data processing.
Reinforcement learning is an important field in machine learning. It constructs a Markov Decision Process and simulates human thinking to teach agents how to make actions
Wei Zhang,
Hongge Yao,
Yuxing Tan
International Journal of Advanced Network, Monitoring and Controls, Volume 5 , ISSUE 3, 65–72
Article | 07-May-2018
Ensemble learning can improve the accuracy of the classification algorithm and it has been widely used. Traditional ensemble learning methods include bagging, boosting and other methods, both of which are ensemble learning methods based on homogenous base classifiers, and obtain a diversity of base classifiers only through sample perturbation. However, heterogenous base classifiers tend to be more diverse, and multi-angle disturbances tend to obtain a variety of base classifiers. This paper
Fan Huimin,
Li Pengpeng,
Zhao Yingze,
Li Danyang
International Journal of Advanced Network, Monitoring and Controls, Volume 3 , ISSUE 1, 130–134
Review | 06-February-2018
The amygdala is a small subcortical structure located bilaterally in medial temporal lobes. It is a key region for emotional processes and some forms of associative learning. In particular, the role of the amygdala in processing of negative emotions and aversive learning has been shown in numerous studies. However, involvement of this structure in processing of positive affect and appetitive learning is not fully understood. Previous experiments in animals are not consistent. While some authors
Emilia Kolada,
Krzysztof Bielski,
Marcel Falkiewicz,
Iwona Szatkowska
Acta Neurobiologiae Experimentalis, Volume 77 , ISSUE 2, 118–127
Article | 11-April-2018
Nowadays with the rapid development of network-based services and users of the internet in everyday life, intrusion detection becomes a promising area of research in the domain of security. Intrusion detection system (IDS) can detect the intrusions of someone who is not authorized to the present computer system automatically, so intrusion detection system has emerged as an essential component and an important technique for network security. Extreme learning machine (ELM) is an interested area
Junhua Ku,
Bing Zheng,
Dawei Yun
International Journal of Advanced Network, Monitoring and Controls, Volume 2 , ISSUE 3, 54–60
Article | 01-June-2015
In order to solve the low discrimination of image representations in complicated duplicate image detection, this paper presents a complicated duplicate image representation approach based on descriptor learning. This approach firstly formulates objective function as minimizing empirical error on the labeled data. Then the tag matrix and the classification matrix of training dataset are brought into the objective function to ensure semantic similarity. Finally, by relaxing the constraints, we
Yongjiao Wang,
Xiaojie Du,
Lei Liang
International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 2, 992–1010
research-article | 31-August-2021
packaging, provides comprehensive analysis of product production data, and establishes a production record system that focuses on the production process. In the intelligent manufacturing mode, the operator uses the code scanning gun to enter the relevant data of the product. It greatly improves the efficiency of production data collection and facilitates the improvement of product production efficiency. Deep learning has taken off in recent years, making major breakthroughs not only in medical research
Wenjing Wang,
Li Zhao
International Journal of Advanced Network, Monitoring and Controls, Volume 6 , ISSUE 3, 59–65
Article | 07-April-2018
In order to adapt to navigation in unknown environment, the mobile robot must have intelligent abilities, such as environment cognition, behavior decision and learning. The navigation control algorithm is researched based on Q learning method in this paper. Firstly, the corresponding environment state space is divided. The action sets mapping with states are set. And the reward function is designed which combines discrete reward returns and continuous reward. The feasibility of this algorithm
Shiqiang Yang,
Congxiao Li
International Journal of Advanced Network, Monitoring and Controls, Volume 2 , ISSUE 1, 108–114
research-article | 30-November-2019
Big Data (BD) is participating in the current computing revolution immensely. Industries and organizations are utilizing their insights for Business Intelligence using Machine Learning (ML) models. However, BD’s dynamic characteristics introduce many critical issues for ML models, such as the Concept Drift (CD) issue. The issue of CD is observed when the statistical properties of data vary at a different time step. For example, a set of class examples has legitimate class labels at one time
Manzoor Ahmed Hashmani,
Syed Muslim Jameel,
Mobashar Rehman,
Atsushi Inoue
International Journal on Smart Sensing and Intelligent Systems, Volume 13 , ISSUE 1, 1–16
Article | 11-April-2018
In this paper, Self-adaptive Differential Evolutionary Extreme Learning Machine (SaDE-ELM) was proposed as a new class of learning algorithm for single-hidden layer feed forward neural network (SLFN). In order to achieve good generalization performance, SaDE-ELM calculates the error on a subset of testing data for parameter optimization. Since SaDE-ELM employs extra data for validation to avoid the over fitting problem, more samples are needed for model training. In this paper, the cross
Junhua Ku,
Kongduo Xing
International Journal of Advanced Network, Monitoring and Controls, Volume 2 , ISSUE 3, 72–77
Article | 09-June-2019
Schools in New Zealand and parts of Australia are rapidly transitioning from traditional classrooms to coteaching in flexible learning spaces provisioned for 50 to 180 children and two to six teachers in a single space. In New Zealand, this transition is driven by the Ministry of Education who have specific guidelines for designing new schools and re-builds. School leaders and teachers must reconceptualise teaching and learning from private autonomous learning environments to co-teaching in
Julie Mackey,
Neil O'Reilly,
Jo Fletcher,
Chris Jansen
Journal of Educational Leadership, Policy and Practice, Volume 33 , ISSUE 2, 97–110
Article | 09-June-2019
Our teacher leadership story comes from two schools collaborating on a New Zealand Teacher Led Innovation Fund (TLIF) project exploring the effect of student-led learning practices on literacy achievement within modern learning environments (MLEs). Our rationale is that learning which is individualised for all learners leads to more equitable outcomes for all. It also enables student ownership of learning, which in turn increases success for all learners, measured through improved student
Ann R Briggs,
Bek Gabites,
Scott Mackenzie,
Julie McIntosh,
Josh Shelley,
Peter Verstappen
Journal of Educational Leadership, Policy and Practice, Volume 32 , ISSUE 1, 62–69
Article | 09-June-2019
Increasingly, New Zealand primary and intermediate schools are adopting the concept of flexible learning spaces and promoting team teaching approaches. Such open spaces and pedagogy can be challenging for even experienced teachers to adapt to. Is it realistic, therefore, to expect novices to work successfully in these challenging spaces from the onset of their teaching careers? Initial Teacher Education (ITE) programmes in New Zealand equip graduates with the knowledge and skills to plan, teach
Barbara Whyte
Journal of Educational Leadership, Policy and Practice, Volume 32 , ISSUE 1, 84–96
Article | 01-March-2015
This article introduces ensemble learning algorithms in recommender systems, and in boosting algorithm framework of this article, shows how to filter the basic recommendation algorithm according to the characteristics of boosting algorithm. By comparing the rational choice of the two recommended boosting algorithm is applied to the frame. And then it determines the main parameters of the algorithm through the experiments, ultimately to obtain a more effective integration of the recommendation
Cheng Lili
International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 1, 368–386
Article | 21-April-2019
Driven by international trends and government policy, it is a requirement for all newly built schools in New Zealand to be designed as innovative learning environments (ILEs) with flexible learning spaces. These environments, celebrated by some for the “transformational” educational opportunities they may provide, also raise questions about whether the anticipated pedagogical value of these “non-traditional” spaces is based on idealised visions of teaching and learning
Chris Bradbeer,
Marian Mahat,
Terry Byers,
Ben Cleveland,
Thomas Kvan,
Wesley Imms
Journal of Educational Leadership, Policy and Practice, Volume 32 , ISSUE 1, 22–38
Research Article | 08-February-2019
Abstract
The paper presents a humanistic approach in investigation of people-environment relations within university buildings. Architecture of the university buildings is considered to be a learning environment from the position of “critical pedagogy of place”. It emphasizes the importance of the place itself expressed by the specific link between building and its location understood mainly in environmental terms – not only as a functional node but also as a vital element of cultural and also
Angelika LASIEWICZ-SYCH
Architecture, Civil Engineering, Environment, Volume 11 , ISSUE 4, 31–40
research-article | 30-November-2019
Educational psychology affords many academic values to be applied in the growth and evaluation of computer-assisted instructional technology. Milheim and Martin (1991) identified learner control as a significant variable in increasing the pedagogy of software in studying learner control motivation, attribution, and informational processing theory. It is advantageous for making best use of learner control as it enhances the relevance of learning, expectations for success, and general contentment
D. Magdalene Delighta Angeline,
P. Ramasubramanian,
I. Samuel Peter James
International Journal on Smart Sensing and Intelligent Systems, Volume 13 , ISSUE 1, 1–15
Article | 01-June-2015
This paper investigates the problem of running gait optimization for humanoid robot. In order to reduce energy consumption and guarantee the dynamic balance including both horizontal and vertical stability, a novel running gait generation based on opposition-based learning particle swarm optimization (PSO) is proposed which aims at high energy efficiency with better stability. In the proposed scheme of running gait generation, a population initiation policy based on domain knowledge is employed
Liang Yang,
Song Xijia,
Chunjian Deng
International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 2, 1162–1179
Article | 09-June-2019
team who changed the school culture from traditional one teacher per classroom settings to four to five teachers with approximately 105 students in flexible learning spaces. The principal and three members of the governing Board of Trustees of the school were interviewed. The study found that the leadership team had invested considerable time into sustained professional development in ways to effectively develop collaborative teaching communities within flexible learning spaces. The professional
Jo Fletcher,
Julie Mackey,
Letitia Fickel
Journal of Educational Leadership, Policy and Practice, Volume 32 , ISSUE 1, 70–83
research-article | 30-November-2019
INTRODUCTION
In rodents, maternal stress during pregnancy can cause psychopathologies in the offspring, such as anxiety and depressive-like behaviors, as well as cognitive deficits (Weinstock, 2017). Also, alterations in development and maturation of brain structures, such as the hippocampus, have been reported (Fujioka et al., 2006). The dorsal hippocampus is involved in spatial learning and memory processes in rats and primates (Bannerman et al., 2004; Tanti and Belzung, 2013; Grigoryan and
Diana Méndez Guerrero,
Felipe de Jesús Jiménez Vásquez,
Moisés Rubio Osornio,
María del Carmen Rubio Osornio,
Sandra Orozco Suárez,
Socorro Retana-Márquez
Acta Neurobiologiae Experimentalis, Volume 80 , ISSUE 4, 400–410
Article | 01-December-2014
. Considering the traditional classification method based on Bag of Words model is vulnerable to the background, block and scalar variance of an image, we propose in this article a multiple visual words learning method for image classification, which is based on the concept of visual phrases combined with Multiple Instance Learning. The final classification model is able to show the spatial features of image classes. Experiments performed on standard image testing sets, Caltech 101 and Scene 15, show the
Tao Wang,
Wenqing Chen,
Bailing Wang
International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 4, 1470–1492
research-article | 30-November-2020
INTRODUCTION
Many aspects of the health benefits of exercise are known, such as those in endocrine and cardiovascular systems, as well as metabolic and developmental functions (Hughes et al., 1993; Ostergard et al., 2006; Labonte-Lemoyne et al., 2017; Lin and Lee, 2018). In recent years, scientific research has focused on the effects of exercise on the neurocognitive process. Exercise has been shown to improve learning and memory function by increasing neurogenesis and angiogenesis in the
Asli Karakilic,
Oguz Yuksel,
Servet Kizildag,
Ferda Hosgorler,
Birsu Topcugil,
Rabia Ilgin,
Hikmet Gumus,
Guven Guvendi,
Basar Koc,
Sevim Kandis,
Mehmet Ates,
Nazan Uysal
Acta Neurobiologiae Experimentalis, Volume 81 , ISSUE 1, 1–9
Research Article | 20-February-2013
In order to reduce the location estimation error in Wireless Sensor Network(WSN). A localization algorithm is proposed combining adaptive estimation, PI-learning and spring-relaxation techniques for wireless sensor networks in this paper. Our proposed method takes the advantages of the spring-relaxation technique, thus it inherits its simplicity. The overall accuracy of the location estimations is improved by introducing adaptive estimation and PI-learning. Moreover, it requires only a few
Li Haiyan,
Hu Yun-an,
Zhu Min
International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 1, 317–332
research-article | 30-November-2020
. Moreover, these methods do not provide adequate opportunities for the students to think critically to solve a problem (Adams et al., 2006; Schauer et al., 2009; Wieman and Perkins, 2005).
Along with the conventional teaching method, laboratory activities are essential as it allows the students to get involved in the learning process. Students start thinking critically while conducting laboratory works. Self-explored experience from laboratory activities helps the students understand and recognize laws
Warawut Sukmak,
Panjit Musik
International Journal on Smart Sensing and Intelligent Systems, Volume 14 , ISSUE 1, 1–8
research-article | 15-October-2020
INTRODUCTION
Endocannabinoid system (ECS) plays role in many physiological processes, including mood, learning and memory. It is also involved in the pathogenesis of anxiety and mood disorders, as well as neurodegenerative disorders (Hill and Gorzalka, 2009; Ranieri et al., 2016). ECS consists of the endogenous cannabinoids (endocannabinoids), cannabinoid receptors and the enzymes that synthesize and degrade endocannabinoids. The cannabinoid receptors (CB1 and CB2) belong to the class of G
Margarita Velikova,
Dobrinka Doncheva,
Roman Tashev
Acta Neurobiologiae Experimentalis, Volume 80 , ISSUE 3, 286–296
Research Article | 01-September-2017
descriptions of library components, the bug-fixing history, the code change history, and the file dependency graph. Given a bug report, the ranking score of each source file is computed as a weighted combination of an array of features, where the weights are trained automatically on previously solved bug reports using a learning-to-rank technique. I applied SVM (Support Virtual Machine) to classify the bug reports to identify, which category the bug belongs to. It helps to fix the critical defects early
S. Rajeswari,
S. Sharavanan,
R. Vijai,
RM. Balajee
International Journal on Smart Sensing and Intelligent Systems, Volume 10 , ISSUE 5, 311–329
Article | 01-December-2016
Educational laboratories are places for realizing experimentations and they are important for modern engineering education. The problem is what if there are simply not enough devices or time for conducting experimentation in a local lab? Other factors that prevent the use of local lab devices directly by students are inaccessible or dangerous phenomena, or polluting chemical reactions. The new technologies bring additional strategies of learning and teaching, so it becomes a challenge to
Khalid Ghoulam,
Belaid Bouikhalene,
Zakaria Harmouch,
Hicham Mouncif
International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 4, 2051–2068
research-paper | 30-November-2020
alterations, which lead to behavioral abnormalities, including learning and memory impairment (Ahmed et al., 2008; Ritchie and Yeap, 2015). These hormones regulate the growth factor expression and synaptogenesis in learning and memory-related brain areas, including the hippocampus and cortex (Forrest and Vennström, 2000; Parent et al., 2011). The hippocampus appears to be more sensitive than the cortex to thyroid hormone depletion (Zhang et al., 2009; Parent et al., 2011).
The exact mechanism of cognitive
Yousef Baghcheghi,
Farimah Beheshti,
Hossein Salmani,
Mahmoud Hosseini
Acta Neurobiologiae Experimentalis, Volume 81 , ISSUE 3, 218–232
Research paper | 15-January-2019
established (i.e., treatment). A battery of behavioral and cognitive tests were performed, including open-field, elevated plus maze, Porsolt’s forced swim, and Morris’ water maze, to evaluate anxietyand depression-like behaviors, and learning and memory. Results showed that chia supplementation was ineffective against Alzheimer’s-related anxiety, whereas depression-like behaviors were attenuated with both pretreatment and treatment. There was no improvement in learning and memory with chia treatment
Yasemin Bilgic,
Enver Ahmet Demir,
Nilufer Bilgic,
Hatice Dogan,
Okan Tutuk,
Cemil Tumer
Acta Neurobiologiae Experimentalis, Volume 78 , ISSUE 4, 322–331
research-article | 30-November-2020
al., 1994; Gilbert et al., 2000).
Learning and memory are highly complex processes. Each is accompanied by changes in brain activity, including synaptic plasticity in the form of long-term potentiation (LTP) and LTD (Kemp and Manahan-Vaughan, 2007). Previous studies showed that NMDARs play an important role in synaptic plasticity (Hunt and Castillo, 2012), learning and memory (Li and Tsien, 2009), and epileptogenesis (Frasca et al., 2011). Changes in the NR2A to NR2B subunits ratio affect the
Mona Faraz,
Nastaran Kosarmadar,
Mahmoud Rezaei,
Meysam Zare,
Mohammad Javan,
Victoria Barkley,
Amir Shojaei,
Javad Mirnajafi-Zadeh
Acta Neurobiologiae Experimentalis, Volume 81 , ISSUE 1, 43–57
Research Article | 06-July-2018
This paper argues that assessment practices used by teachers in schools and early childhood services, including narrative approaches, provide accessible, authentic, low-cost, and easily administered assessment. Assessment for learning embeds assessment within teaching and learning and supports teachers to work in collaboration with parents and children to deepen understanding of children’s strengths and interests, and to support relationships. Further, assessment for learning provides an
Valerie Margrain
Apex, Volume 16 , ISSUE 1, 37–48
Article | 01-June-2015
This paper proposes a simulation-based environmental learning support system, based on Kinect sensors, which is currently under development. Our system animates paleontological animals and their habitats on a display in synchronization with learners’ actions, immersing learners in a real-life paleontological environment. We evaluated the system by recording real-time measurements of learners’ movements, and controlled the animation based on sensor output. Participants were subsequently
T. Nakayama,
R. Yoshida,
T. Nakadai,
T. Ogitsu,
H. Mizoguchi,
K. Izuishi,
F. Kusunoki,
K. Muratsu,
R. Egusa,
S. Inagaki
International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 2, 1050–1062
Research Article | 03-September-2018
Research on smart spaces represents one of the most innovative work being done recently. One of the interesting applications of smart spaces is the smart classroom. It aims at using new technologies and tools to provide adaptive, comfortable and personalized learning which supports and facilitates the learning operation. Often instructors waste a precious time of theirs courses on tasks not directly related to the course content especially adjusting several times both the light system of the
Moeiz Miraoui
International Journal on Smart Sensing and Intelligent Systems, Volume 11 , ISSUE 1, 1–8
Research paper | 18-May-2018
Endocannabinoids (eCBs) are involved in the hippocampal mechanisms of spatial learning and memory in rats. Although eCBs exert many of their actions on spatial learning and memory via CB1 receptors, the putative cannabinoid receptor GPR55 (expressed in the hippocampus, cortex, forebrain, cerebellum and striatum) seems to be also involved. To investigate the potential role of GPR55 in spatial learning and memory, Wistar rats received bilateral infusions of lysophosphatidylinositol (LPI, GPR55
Bruno A. Marichal-Cancino,
Alfonso Fajardo-Valdez,
Alejandra E. Ruiz-Contreras,
Mónica Méndez-Díaz,
Oscar Prospéro-García
Acta Neurobiologiae Experimentalis, Volume 78 , ISSUE 1, 41–50
Article | 02-April-2019
The article describes an approach to data- and research-informed improvement work in Early Childhood Education and Care (ECEC) that is used by the Laboratory for Research-based School Development (LSP) at Aalborg University, Denmark. The approach includes collaboration between research, policy and practice and it incorporates two current policy priorities in the field of Danish education: evidence-informed decision making and the continuous improvement of the learning environment. The approach
Line Skov Hansen
Journal of Educational Leadership, Policy and Practice, Volume 33 , ISSUE 1, 70–81
Article | 30-November-2018
designed manually (such as SIFT, SURF, HOG, etc.), and the features of the artificial design are well interpreted. However, in the face of complex backgrounds, changing fonts and various deformations, it is rather troublesome and difficult to extract more general features[7].
The Convolutional Neural Network (CNN) is a multi-layered supervised learning neural network. Although the training process requires a large amount of data compared with the traditional method, the convolutional neural network can
Haoqi Yang,
Hongge Yao
International Journal of Advanced Network, Monitoring and Controls, Volume 4 , ISSUE 3, 47–52
Article | 16-April-2018
Excessive stress impairs learning. The Tellington TTouch method (TTouch) is used to reduce stress and relax animals so they can learn more effectively. It aims at increasing an animal’s body awareness and balance by using a combination of techniques that include specific touches, body wraps, and leading (movement) exercises. This article introduces the TTouch method, its role in sensory enhanced learning, and provides a review of TTouch in the scientific literature and the way this
Janice Lloyd,
Elizabeth (Lib) Roe
International Journal of Orientation & Mobility, Volume 6 , ISSUE 1, 8–20
research-article | 25-October-2021
-assisted diagnostics of prostate core needle biopsies (CNBs) by developing an algorithm that takes input as hematoxylin and eosin (H&E) stained slides outputs the result with 0.997 AUC. Deep learning was also used for detecting cancer in animals (Aubreville et al., 2020), agricultural greenhouse detection (Li et al., 2020), analyzing traffic load distribution on a bridge (Ge et al., 2020), airplane detection (Chen et al., 2018), hand gesture recognition (Kharate et al., 2016), automatic vehicle
Rohan Ibn Azad,
Subhas Mukhopadhyay,
Mohsen Asadnia
International Journal on Smart Sensing and Intelligent Systems, Volume 14 , ISSUE 1, 1–16
Article | 21-April-2019
Innovative Learning Pedagogies (ILPs) have given rise to much focus on the pedagogical changes required to ensure students work collaboratively, apply knowledge, create outcomes and communicate these outcomes effectively. One key element that has had much less focus is how students are assessed when working in an Innovative Learning Environment (ILE) and how this assessment information might be communicated to all stakeholders. As a school, we commenced our collaborative inquiry using action
Linda Harvie,
Steve Harper-Travers,
Amanda Jaeger
Journal of Educational Leadership, Policy and Practice, Volume 32 , ISSUE 1, 133–139
research-article | 07-July-2020
, gonadal hormones are also assumed to have an influence on many cerebral function.
Finally, even though much of the evidence on gonadal-induced neuroplasticity, related to learning and memory processes, centers on the effect of estrogens, data related to neurotrophic actions of androgens also exist (Colciago et al., 2015).
Role of estrogens in memory processes
Many studies have suggested that estrogens have a role on many cognitive functions, including learning and memory (Gasbarri et al., 2008a
Assunta Pompili,
Carla Iorio,
Antonella Gasbarri
Acta Neurobiologiae Experimentalis, Volume 80 , ISSUE 2, 117–128
Review | 25-July-2017
Fear-conditioning is one of the most widely used paradigms in attempts to unravel the processes and mechanisms underlying learning and plasticity. In most Pavlovian conditioning paradigms an auditory stimulus is used as the conditioned stimulus (CS), but conditioning to a tactile CS can also be accomplished. The whisker-to-barrel tactile system in mice offers a convenient way to investigate the brain pathways and mechanisms of learning and plasticity of the cerebral cortex. To support the claim
Anita Cybulska-Kłosowicz
Acta Neurobiologiae Experimentalis, Volume 76 , ISSUE 2, 87–97
Article | 01-September-2014
Path planning of unmanned aerial vehicle (UAV) is an optimal problem in the complex combat field environment. Teaching-Learning-Based Optimization (TLBO) algorithm is presented under the inspiration of the teaching-learning behavior in a classroom. In this paper, this algorithm is applied to design a path by the search angle and distance, by which a better path at higher convergence speed and shorter route can be found. Finally experimental comparison results show that TLBO algorithm is a
Guolin Yu,
Hui Song,
Jie Gao
International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 3, 1310–1325
research-paper | 30-November-2020
clinical concentrations can lead to neuronal apoptosis and impair the learning ability and cognitive function in neonatal and aged rodents (Kodama et al., 2011; Li XM et al., 2014; Sun et al., 2016). Previous retrospective studies have reported that the application of anesthesia in children may influence the progression of behavior and cognitive function, especially children younger than 3 years old (DiMaggio et al., 2009; Wilder et al., 2009; Servick, 2014). Because of the common use of sevoflurane in
Guohua Li,
Fang Cao,
Yanwu Jin,
Yu Wang,
Dawei Wang,
Limin Zhou
Acta Neurobiologiae Experimentalis, Volume 81 , ISSUE 3, 271–278
Article | 01-December-2016
Hyperspectral data has rich spectrum information, strong correlation between bands and high data redundancy. Feature band extraction of hyperspectral data is a prerequisite and an important basis for the subsequent study of classification and target recognition. Deep belief network is a kind of deep learning model, the paper proposed a deep belief network to realize the characteristics band extraction of hyperspectral data, and use the advantages of unsupervised and supervised learning of deep
Jiang Xinhua,
Xue Heru,
Zhang Lina,
Zhou Yanqing
International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 4, 1991–2009
research-article | 31-August-2021
-spline model uses multiple control points to fit the lane lines, also based on parallel perspective technology, and the algorithm is highly accurate but has poor real-time performance; moreover, the method divides the lane lines into multiple areas for separate detection, especially in the presence of false lane lines or lane wear, and the accuracy of the algorithm is not guaranteed, and the lane line jump is serious.
B.
Deep learning methods
Research on lane detection based on deep learning neural
Jiaqi Shi,
Li Zhao
International Journal of Advanced Network, Monitoring and Controls, Volume 6 , ISSUE 3, 1–8
Research Article | 06-July-2018
gifted and talented education. The ways in which the programme meets holistic needs of students, in partnership with their families, leads the way to greater personalisation of learning in secondary education.
Vivienne Russell,
Tracy Riley
Apex, Volume 16 , ISSUE 1, 17–25
Review | 15-January-2019
The development of molecular biology methods in the early 1980s led to a better understanding of the role of transcription factors in mammalian cells. The discovery that some transcription factors are critically important for cells to switch between different functional states was fundamental for modern molecular neurobiology. In the 1980s Leszek Kaczmarek proposed that, analogically to the cell cycle or to cell differentiation, long-term synaptic plasticity, learning, and memory should also
Jacek Jaworski,
Katarzyna Kalita,
Ewelina Knapska
Acta Neurobiologiae Experimentalis, Volume 78 , ISSUE 4, 287–296
Article | 09-June-2019
This story of leading change is written by the Principal and Deputy Principal of Thorrington School in Christchurch where the leadership focus has been to shift curriculum design and teaching practices to be more responsive to the needs of learners. The article considers the shift in the practices of twenty teachers over a three-year time frame. The school does not have purpose built Modern Learning Spaces / Environments (referred to as flexible learning spaces in this article) so
Christine Harris,
Chris Panter
Journal of Educational Leadership, Policy and Practice, Volume 32 , ISSUE 1, 125–132
Article | 13-July-2020
technology and method that can automatically inpainting damaged digital images, so digital image inpainting technology is born.
I.
INTRODUCTION
Image inpainting is one of the most popular areas of deep learning. Its basic principle is to give an image of a damaged or corroded area, and try to use the intact information of the known area of the damaged image to inpainting the damaged area of the image[1-2]. Digital image inpainting methods can be divided into two major categories: traditional image
Zhao Li,
Zhao Ruixia
International Journal of Advanced Network, Monitoring and Controls, Volume 5 , ISSUE 2, 23–30
Article | 14-July-2019
The purpose of this paper is to build a model for assessing the satisfaction of passenger service by the public transport system. The system is constructed using intelligent agents, whose action is based on self-learning principles. The agents are passengers who depend on transport and can choose between two modes: a car or a bus wherein their choice of transport mode for the next day is based on their level of satisfaction and their neighbors’ satisfaction with the mode they used the day
Sergey VIKHAREV,
Maxim LYAPUSTIN,
Danil MIRONOV,
Irina NIZOVTSEVA,
Vladimir SINITSYN
Transport Problems, Volume 14 , ISSUE 2, 43–53
Article | 30-November-2018
Jun Yu,
Tong Xian,
Zhiyi Hu,
Yutong Liu
International Journal of Advanced Network, Monitoring and Controls, Volume 4 , ISSUE 2, 81–85
Research paper | 22-August-2018
Muscarinic acetylcholine receptors (mAChR) are known to be related to learning and memory processes. Inactivation of mAChR by cholinergic antagonists have been shown to produce amnesia in a variety of behavioral tasks. In this study, we investigated the role of M1 and M2 AChR on passive avoidance learning and plasticity of synapses formed by Schaffer collaterals in freely moving rats. Experiments were performed using Wistar male rats. Seven days before testing, a recording electrode was lowered
Yulia V. Dobryakova,
Olga Y. Ivanova,
Vladimir A. Markevich
Acta Neurobiologiae Experimentalis, Volume 78 , ISSUE 2, 132–139
Article
Aotearoa New Zealand to capture a picture of current perceptions of ECE teachers and positional leaders about distributed leadership for professional learning. Subsequently, leadership practices for distributed leadership in three previously-identified high quality ECE services were investigated through individual and group interviews. The analysis of literature, survey and interview findings from this study led to a framework of effective leadership practice, consisting of: mentoring and coaching
Rachel Denee,
Kate Thornton
Journal of Educational Leadership, Policy and Practice, Volume 32 , ISSUE 2, 33–45
Article | 14-October-2020
I.
INTRODUCTION
With the rise of artificial intelligence and machine learning, face recognition technology is widely used in life, such as station security, time and attendance punching, and secure payment [1-3], but different face recognition devices use different algorithms. Therefore, this paper analyzes and compares the commonly used classification algorithms in face recognition. The data set in this paper uses the ORL face data set published by Cambridge University in the United Kingdom
Changyuan Wang,
Guang Li,
Pengxiang Xue,
Qiyou Wu
International Journal of Advanced Network, Monitoring and Controls, Volume 5 , ISSUE 3, 23–29
Article | 30-November-2018
In recent years, with the rapid development of artificial intelligence, machine learning methods represented by statistical machine learning and deep learning are one of the main research directions [1]. Among them, the model of deep learning can be divided into discriminant model and generative model. Because of the invention of Logistic Regression, Support Vector Machine, Conditional Random Field and other algorithms, the discriminant model has developed rapidly. However, the development of
Jie Chen,
Li Zhao
International Journal of Advanced Network, Monitoring and Controls, Volume 4 , ISSUE 2, 93–98
Article | 02-April-2019
plays in providing quality care and education, there was much confusion about what leadership entailed and how leadership differentiated from management in this context. The contextual complexities of the ECE sector were a significant influence on each participant’s opportunity to learn about, and practise leadership. Findings also revealed a need for contextually relevant and progressive approaches to leadership learning to support early childhood leaders and teachers in their leadership work.
Nicki Klevering,
Rachel McNae
Journal of Educational Leadership, Policy and Practice, Volume 33 , ISSUE 1, 5–17
Article | 16-December-2013
Electrocardiogram (ECG) signal for human identity recognition is a new area on biometrics research. The ECG is a vital signal of human body, unique, robustness to attack, universality and permanence, difference to others traditional biometrics technic. This study also proposes Adaptive Multilayer Generalized Learning Vector Quantization (AMGLVQ), that integrating feature extraction and classification method. The experiments shown that AMGLVQ can improve the accuracy of classification better
Elly Matul Imah,
Wisnu Jatmiko,
T. Basaruddin
International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 5, 1891–1917
Article | 30-November-2020
I.
INTRODUCTION
Identity identification is a basic problem in social life [1], which is not only closely related to the interests of individuals, but also affected national security and social stability. This paper studies the periocular recognition technology based on deep learning, which is to use the image of the eye area to identify the identity of people. Due to the high precision, high ease of use and high security of the eye circumference [2], it is easy to obtain eye images, analyze
Bo Liu,
Songze Lei,
Yonggang Li,
Aokui Shan,
Baihua Dong
International Journal of Advanced Network, Monitoring and Controls, Volume 6 , ISSUE 1, 11–17
Editorial | 30-November-2019
approaching vehicles with enough warning when looking steadily in their direction, they are unlikely to see them reliably when looking from side to side.
To enable students to visually detect vehicles as soon as possible when looking steadily toward them, students with central scotomas may benefit from learning to view with the most intact part of their vision (eccentric viewing using peripheral vision). Students with severely restricted visual fields may benefit from addressing glare and lighting issues
Dona Sauerburger,
Eugene Bourquin
International Journal of Orientation & Mobility, Volume 11 , ISSUE 1, 35–40
Article
Machine learning methods are increasingly being used to predict company bankruptcy. Comparative studies carried out on selected methods to determine their suitability for predicting company bankruptcy have demonstrated high levels of prediction accuracy for the extreme gradient boosting method in this area. This method is resistant to outliers and relieves the researcher from the burden of having to provide missing data. The aim of this study is to assess how the elimination of outliers from
Barbara Pawełek
Statistics in Transition New Series, Volume 20 , ISSUE 2, 155–171
Research paper | 06-February-2018
from 1 mg/kg. At similar doses it also increased locomotion in the open field. However, eltoprazine failed to affect acquisition in context fear conditioning paradigm, which may indicate lack of its detrimental effect on learning at the doses tested (i.e., up to 5 mg/kg).
In summary, effects of eltoprazine in different anxiety tests were equivocal while its effect on body weight seems robust and requires further investigation. It is to be determined whether these effects can be expected at the
Andreas Gravius,
Andrzej Dekundy,
Anita Vanaga,
Lutz Franke,
Wojciech Danysz
Acta Neurobiologiae Experimentalis, Volume 77 , ISSUE 1, 77–85
Research Article | 01-September-2017
are trained into the databases using machine learning algorithm. The tracking of individuals can be achieved by capturing their images while on the move and comparing them with the values stored in the databases. The detection of facial structure is done with Viola-Jones algorithm which though older is easy and efficient to use and Kanade-Lucas-Tomasi(KLT) algorithm is used for feature extraction . The HOG (Histogram of Oriented Gradients) features are extracted for training.
P.J Leo Evenss,
Jennings Mcenroe .S,
A.Prabhu Chakkaravarthy
International Journal on Smart Sensing and Intelligent Systems, Volume 10 , ISSUE 5, 163–173
Research Article | 06-July-2018
; learning, enjoyment, physical skill improvement and post-school options in the talent development environment. A small survey from a New Zealand pilot study on student participation was used for two purposefully selected case sites. Non-parametric statistical tests were used to test for differences within and between the two case sites. Results indicated that the talent development environment exerts a small effect on student athletes’ perceptions of physical skill improvement and that these
Seth Brown,
Philippa Butler,
Ra Jarden Osborne
Apex, Volume 18 , ISSUE 1, 59–74
Research Article | 15-February-2020
The authors are developing a simulation-based environmental learning support system using Kinect sensors. Obviously, it is impossible for learners to experience the actual paleontological environment, and it is therefore difficult for them to learn about the environments and lives. Then, we proposed an immersive animation display system using Kinect sensors and their human skeleton-tracking function. The system animates paleontological animals and their environment on the screen and displays
Tomohiro Nakayama,
Takahiro Nakadai,
Ryuichi Yoshida,
Takeki Ogitsu,
Hiroshi Takemura,
Hiroshi Mizoguchi,
Kaori Izuishi,
Fusako Kusunoki,
Keita Muratsu,
Shigenori Inagaki
International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 5, 1–4
Article | 01-March-2016
The attitude angles of UAV, as the input parameters of the target localization process, influence the accuracy of geo-targeting. In order to improve the accuracy of target localization, this paper compensates the attitude angle errors of the UAV based on learning prediction compensation. Firstly, considering the airborne equipment and the metadata provided by the UAV, we combine rear intersection with GPS/INS to calculate the error of each platform and aircraft attitude angle. Then the error
Jialiang LIU,
Wenrui Ding,
Hongguang Li
International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 1, 169–190
Review | 06-August-2019
the authors. The multi-objective design optimization model to minimize life cycle cost and life cycle emission, and maximize occupant satisfaction level in a typical commercial building was developed.
3.
METHOD
Multi-variable optimizations by coupling the building performance simulation program with optimization environment using genetic algorithms (GA) or particle swarm optimizer (PSO) or teaching-learning-based optimization (TLBO) were performed to determine the best path to minimize life
Krzysztof GRYGIEREK,
Joanna FERDYN-GRYGIEREK
Architecture, Civil Engineering, Environment, Volume 12 , ISSUE 2, 81–90
Research Article | 01-December-2017
This article summarizes some research results related to ontology enrichment specific to tourism domains from 2014 to 2017. Currently, some ontology enrichment approaches can use learning machinery such as support vector machine (SVM), Conditional Random Field (CRF) and kNN. Several studies have also been successful in evaluating ontology enrichment results with several parameters such as precision, recall and F-Measure. In addition, our research can enrich Dwipa Ontology II which has been
Guson Prasamuarso Kuntarto,
Irwan Prasetya Gunawan,
Fahmi L. Moechtar,
Yudhiansyah Ahmadin,
Berkah I. Santoso
International Journal on Smart Sensing and Intelligent Systems, Volume 10 , ISSUE 4, 903–919
Research Article | 06-July-2018
In this article, we begin with a short discussion of teaching and learning models, then describe what we believe is an exciting new model that can be used effectively in the teaching of gifted students. The main focus of this article is on the evidence showing that it is comprehensive (i.e., it is a way to implement all the curriculum principles important in teaching gifted students), flexible (i.e., can be used with a variety of ages of students, in a variety of settings, in many cultural
June Maker,
Robert Zimmerman,
Abdulnasser Alhusaini,
Randal Pease
Apex, Volume 19 , ISSUE 1, 7–30
research-article | 30-November-2019
Embarked on social processes in the organizational society
The main social processes in which sociology has been interested since the nineteenth century are solidarity and exclusion; deviance, control and conflict resolution; regulation and institutionalization; and learning and socialization. To say that these processes are social is to say that much of their deployment is always problematic and beyond our individual control. Even when we can influence one of their episodes or components, we
Emmanuel Lazega
Connections, Volume 40 , ISSUE 1, 60–76
Research paper | 01-August-2017
as the experimental rats either without (Control-noUS) or with shocks (Control-US) that were delivered in a random, noncontingent manner for three days. On the first day of place avoidance learning, the experimental group exhibited c-Fos induction in area 29c, similar to both control groups. In area 30, similarly high levels of c-Fos expression were observed in the experimental and Control-US groups. On the third day of training, when the experimental group efficiently avoided c-Fos expression in
Monika Malinowska,
Monika Niewiadomska,
Malgorzata Wesierska
Acta Neurobiologiae Experimentalis, Volume 76 , ISSUE 3, 244–256
Article | 13-July-2020
I.
INTRODUCTION
Since the concept of deep learning was proposed by Hinton et al[1]. In 2006, during more than a decade of development, machine learning is closer to the original goal of “artificial intelligence”. Deep learning is a hierarchical machine learning approach that involves multiple levels of nonlinear transformations that learn the inherent laws and representation levels of sample data, and the feature information obtained in the process of learning can help the machine achieve
Gao Zhiyu,
Liu Bailin,
Gu Hongxian,
Mu Jing
International Journal of Advanced Network, Monitoring and Controls, Volume 5 , ISSUE 2, 31–38
rapid-communication | 31-March-2020
sufficient level of patient compliance. Many questions can only be answered if the examination is afforded sufficient time and diligence.
The US examination technique can be learned in US training courses, which are available in several books, online courses, and in traditional courses as classroom teaching, too. This is a prerequisite for a successful US examination. Learning US technique is also increasingly important in preclinical education(1,2). For localized questions, it has been demonstrated that
Daniel Merkel,
Christoph Schneider,
Michael Ludwig
Journal of Ultrasonography, Volume 20 , ISSUE 80, e24–e28
Research paper | 06-February-2018
Behavioral flexibility is subserved by the prefrontal cortex and the basal ganglia. Orbitofrontal cortex (OFC) and dorsomedial striatum (DMS) form a functional frontocorticostriatal circuit crucial for the mediation of flexibility during reversal learning via dopamine (DA) neurotransmission. The regulatory control in maintaining DA homeostasis and function is provided by the dopamine transporter (DAT), which therefore likely plays a significant role in controlling the influence of DA on
Anita Cybulska-Klosowicz,
Julia Dabrowska,
Sebastian Niedzielec,
Renata Zakrzewska,
Aleksandra Rozycka
Acta Neurobiologiae Experimentalis, Volume 77 , ISSUE 2, 176–189
research-article | 26-March-2021
INTRODUCTION
In 2019 Alzheimer’s disease International (ADI) estimates that there are more than 50 million people are suffering from dementia globally, and the number is predicted soar to 152 million by 2050 (Alzheimer’s Disease International, 2019). Increasing evidence has indicated that the oestrogen decline after menopause may influence learning and cognitive function, thus increasing the risk of Alzheimer’s disease (AD) (Fukuzaki et al., 2008). So far, the characteristic pathogenesis of AD
Dan Di Zhang,
Yan Gang Wang,
Chun Yan Liu,
Ze Hou Wang,
Yue Fen Wang
Acta Neurobiologiae Experimentalis, Volume 81 , ISSUE 1, 10–20
Article | 16-April-2018
The current role of the Orientation & Mobility (O&M) instructor routinely involves working with young children (birth to 6 years). The inclusion of this population to the caseload of O&M instructors brings with it unique challenges. Young children’s primary means of learning comes in the form of play, yet O&M traditionally tends to focus on skill specific instruction. For young children who are blind or vision impaired the ability to move out into space independently and
Kylie Wells, Dip. Tchg., Grad. Cert. Ed. Studies, M. Spec. Ed.
International Journal of Orientation & Mobility, Volume 1 , ISSUE 1, 57–61
Research Article | 01-September-2017
S. Hernández,
L. Morales,
A. Urrutia
International Journal on Smart Sensing and Intelligent Systems, Volume 10 , ISSUE 3, 594–612
Research paper | 04-May-2018
Studies have shown that exercise can positively influence cognitive performance after brain injury. This study investigated the effects of different exercise regimens on allocentric place learning after fimbria-fornix (FF) transection. One hundred and sixteen pre-shaped rats were subjected either to a mechanical transection of the FF or control sham surgery and divided into following groups: i) no exercise (NE), ii) voluntary exercise in a running wheel (RW), iii) forced swimming exercise
Elise Wogensen,
Linda Marschner,
Marie Gajhede Gram,
Siri Mehlsen,
Valdemar H. B. Uhre,
Pernille Bülow,
Jesper Mogensen,
Hana Malá
Acta Neurobiologiae Experimentalis, Volume 77 , ISSUE 4, 323–336
Research Article | 06-July-2018
This article provides a description of the author’s learning journey as she makes the commitment to provide for gifted children at the early childhood education service in which she works. The author examines research which highlights the reasons for identifying young gifted children. She includes issues that teachers may be experiencing which impact on the identification of gifted young children not being included in daily practice. Possible solutions are given as suggestions to overcome
Lynette Radue
Apex, Volume 15 , ISSUE 1, 45–55
Research Article | 06-July-2018
classroom learning. Consequent areas of challenge within traditional academic domains, combined with their exceptional ability being rarely recognised or valued in schools, contribute to gifted visual-spatial learners being an “invisible group” (Gohm, Humphreys & Yao, 1998; Lubinski & Kell, 2013; Mahoney & Seeley, 1982; Seeley, 1987, 2003; Silverman, 1998; von Karolyi, 2013). These findings led to the development of a primary research aim to describe these differences and explore
Sharon Mansfield
Apex, Volume 19 , ISSUE 1, 77–90
Article | 12-April-2018
Li Fuxue,
Xiao Tong,
Zhu Jingbo
International Journal of Advanced Network, Monitoring and Controls, Volume 2 , ISSUE 3, 145–152
Editorial | 29-June-2020
Introduction
In medieval times, experiential learning existed in the form of apprenticeship programs (Hindman, 2009). Today experiential learning which includes internships, applied practicums, and academic service learning has emerged as a bridge between school curricula and occupational settings (Miller, 1982). Internships, for example, provide university students opportunities to apply the knowledge, skills, and abilities that they will need in future employment. They also allow students to
Nora Griffin-Shirley,
Jaehoon Lee,
The Nguyen,
Vitalis Othuon,
Anita Page
International Journal of Orientation & Mobility, Volume 11 , ISSUE 1, 1–6
Research Article | 08-February-2019
qualitatively with the use of behavioural mapping and space syntax analysis. The research results indicated students’ behavioral and emotional engagement with the places of study, their assessment of the functional performance of these facilities and proposals for improvement of the existing environment (in particular the creation of individual learning space and the “student space” in general), as well as the emotionally-charged and personalized image of individual buildings. Theoretical introduction into
Angelika LASIEWICZ-SYCH
Architecture, Civil Engineering, Environment, Volume 11 , ISSUE 4, 41–53
Article | 07-May-2018
In this paper authors introduced the overall design of learning resource sharing platform in the pure IPv6 environment, including the client and the web server and the back-end database, and the user management, the detailed design of the three aspects of resource management platform and administrator management. Finally authors introduced application of decision tree in this website.
Chunmei Li,
Peng Cui,
Xinke Zhou,
Ze Xiao
International Journal of Advanced Network, Monitoring and Controls, Volume 3 , ISSUE 1, 54–57
Research paper | 31-October-2017
Germanas Budnikas
Statistics in Transition New Series, Volume 16 , ISSUE 2, 309–322
Article | 16-April-2018
Fabiana Perla, Ed.D., COMS.
International Journal of Orientation & Mobility, Volume 5 , ISSUE 1, 28–33
Research paper | 18-May-2018
(surgery without injection Aβ), and experimental group (two-sided intrahippocampal amyloid-beta injection into hippocampus). From each group, three animals were investigated 42 days after injection, and the remaining four animals were studied after one year. All animals were tested for learning abilities and memory. Finally, samples from blood, brain, heart, kidney, liver, colon and spleen were examined. In the experimental group, the size of amyloid plaques were increased significantly after one year
Raheleh Kheirbakhsh,
Mahnaz Haddadi,
Ahad Muhammadnejad,
Alireza Abdollahi,
Farshad Shahi,
Behzad Amanpour-Gharaei,
Azadeh Abrahim-Habibi,
Tahereh Barati,
Saeid Amanpour
Acta Neurobiologiae Experimentalis, Volume 78 , ISSUE 1, 51–59
research-article | 30-November-2018
., 2007).
In our experiments, we explored the self-exposure paradigm, a remarkably simple and unique – though recently disregarded – model to investigate emotionality, motivation, and learning in rats. We showed that the ability to control experimental conditions increased the reaction ratio, since the rats, when allowed to turn off the light with a nose-poke, performed more nose-pokes than during the previous session as well as more often than the control animals.
The observed goal-directed
Ita Robakiewicz,
Monika Polak,
Małgorzata Rawska,
Dominik Alberski,
Rafał Polowy,
Kinga Wytrychiewicz,
Mateusz Syperek,
Jan Matysiak,
Robert K. Filipkowski
Acta Neurobiologiae Experimentalis, Volume 79 , ISSUE 3, 310–318
Research Article | 15-February-2020
Multisensor time series data is common in many applications of process industry, medical and health care, biometrics etc.Analysis of multisensor time series data requires analysis of multidimensional time series(MTS) which is challenging as they constitute a huge volume of data of dynamic nature. Traditional machine learning algorithms for classification and clustering developed for static data can not be applied directly to MTS data. Various techniques have been developed to represent MTS data
Basabi Chakraborty
International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 5, 1–5
research-article | 11-October-2021
, 2004; Shepherd, 2010).
Social-skills are developed throughout life through social-interactions (Hogg & Vaughan, 2014), to acquire what has been called by Adolphs (1999; 2001; 2003) a “social brain”. Developing a “social brain” requires understanding the actions of others, predicting their intentions, known as Theory of Mind (ToM), and as a consequence, learning the socially acceptable/unacceptable rules (Csibra & Gergely, 2006). A lack or delay in the development of social skills is associated with
M. Bellio,
S. Silveira
International Journal of Orientation & Mobility, Volume 12 , ISSUE 1, 1–14
Book Review | 16-April-2018
Kim T. Zebehazy, Ph.D., COMS, CLVT, TSVI.
International Journal of Orientation & Mobility, Volume 5 , ISSUE 1, 53–55
Book Review | 16-April-2018
Rachel Morgan, B.A., Grad. Dip. O&M, M. Teaching (Primary), Dip. Management
International Journal of Orientation & Mobility, Volume 5 , ISSUE 1, 56–58
research-article | 30-November-2019
As more and more data is collected and the technology to process it develops, the importance of data is growing. In addition, technology is needed for sensitive data processing to protect privacy. All processes that process data, such as raw data, data being processed, and result data, require privacy. The general approaches to prevent privacy leakage adopted anonymity, access control, and transparency (Haris et al., 2014). With the introduction of machine learning (ML), big data processing is
Im Y. Jung
International Journal on Smart Sensing and Intelligent Systems, Volume 13 , ISSUE 1, 1–13
Article | 02-April-2019
Gwen Davitt,
Debbie Ryder
Journal of Educational Leadership, Policy and Practice, Volume 33 , ISSUE 1, 18–31
Article | 09-June-2019
Barbara Fogarty-Perry
Journal of Educational Leadership, Policy and Practice, Volume 32 , ISSUE 1, 39–47
Article | 30-November-2018
can’t generate a new route that meets the user’s needs. At the same time, through the learning and researching for collaborative filtering and LDA algorithm, it is found that these algorithms are feasible and applied in this paper. According to that, we will show the method of recommendation and generation of tourist routes based on LDA and collaborative filtering below.
II.
RELATED WORK
The planning of a travel route is a complex and comprehensive process that requires consideration of many
Peng Cui,
Yuming Wang,
Chunmei Li
International Journal of Advanced Network, Monitoring and Controls, Volume 3 , ISSUE 4, 47–62
Article | 20-December-2020
Jarosław Duda,
Henryk Gurgul,
Robert Syrek
Statistics in Transition New Series, Volume 21 , ISSUE 5, 99–118
Article | 30-November-2020
prior, which can save the memory of potential image edge information and iterative support detection algorithm, which can strengthen the correct preservation of the space constraint kernel. parameter.In the study of unblind deblurring, Sun et al. [10] is a method based on deep learning to estimate uneven motion blur. First, CNN is used to predict the probability of different motion kernels for each image patch, and then image rotation is used. The technology expands the candidate motion kernel set
Xu Hexin,
Zhao Li,
Jiao Yan
International Journal of Advanced Network, Monitoring and Controls, Volume 6 , ISSUE 1, 57–67
research-article | 31-July-2018
Transition to high school, though generally a positive experience, can be a tumultuous experience for many teenagers. According to Suldo and Shaunessy-Dedrick (2013, p. 195), high school incorporates “more difficult coursework, different organizational structures, new peers, more students, and different expectations from teachers”. In addition, for students with vision impairment (SVI) navigating an unfamiliar environment can present significant difficulties. For some SVI, learning about and
Katrina Blake,
Helen Kinnane,
Melinda Whipp
International Journal of Orientation & Mobility, Volume 9 , ISSUE 1, 1–4
Article | 16-April-2018
Fabiana Perla, Ed.D. COMS, CLVT,
Jamie Maffit, M.S., COMS, CLVT
International Journal of Orientation & Mobility, Volume 7 , ISSUE 1, 44–51