bluuebunny/crossref_metadata_2025 huggingface dataset:
Blogs' Potentialities in Learning
Authors: Antonietti Alessandro , Caravita Simona C. S. , Colombo Barbara , Simonelli Luisa
Published: June 2015

Growing literature on the impact of new technologies on learning processes suggests that blogs can be effective tools to empower cognition. The chapter describes a line of research which is aimed at exploring the possibility that blogging is related to cognitive skills and can be effectively used in educational settings. In the main study reported in the paper fifty blogs were analysed and classified according to both their content and formal structure. The right (i.e., intuitive-holistic) vs. left (i.e., systematic-analytical) thinking style of blog owners was also assessed, as well as the blog owners' awareness of the psychological processes, activated by the blog that they had devised, both in their own and in other people's mind. Results showed that blog owners are able to use effective communication strategies by differentiating the formal structure of bogs according to the content, but they lack metacognitive awareness about the mental processes activated by the blog. No relation between the blog owner's cognitive style and blog style was found. Implications for the educational use of blogs are discussed. In other two studies such implications were tested in samples of teachers and students. Blogs' potentialities to enhance metacognitive awareness and control in both teachers and students, as well as cooperative learning in students,were critically evaluated. Altogether, results from this research line provide evidence that blogging can be useful to foster cognitive skills in education by empowering the bloggers' awareness of the implied mental processes.
Modeling Human Behavior to Reduce Navigation Time of Menu Items
Authors: Xie Tiantian , Zhu Yuxi , Lin Tao , Chen Rui
Published: June 2015

With the increase in the number of menu items and the menu structure complexity, users have to spend more time in locating menu items when using menu-based interfaces. Recently, adaptive menu techniques have been explored to reduce the time and menu item prediction plays a crucial role in the techniques. Unfortunately, there still lacks effective prediction models for menu items. This chapter per the authors explores the potential of three prediction models based on Markov chain in predicting top n menu items with human behavior data while interacting with menus - the users' historical menu item selections. The results show that Weighted Markov Chain using Genetic Algorithm can obtain the highest prediction accuracy and significantly decrease navigation time by 22.6% when N equals 4 as compared to the static counterpart. Two application scenarios of these models on mobile devices and desktop also demonstrated the potentials in daily usage to reduce the time spent to search target menu items.
How to Become a Cybercriminal?
Authors: Richet Jean-Loup
Published: June 2015

The main purpose of this chapter is to illustrate a landscape of current literature in cybercrime taking into consideration diffusion of innovation theories and economic theory of competition. In this chapter, a narrative review of the literature was carried out, facilitators leading to cybercrime were explored and explained the diffusion of Cybercriminals' best practices. Cybercrime is compatible with young adults lifestyle (familiarity) and requires little knowledge. Moreover, barriers to entry related to costs (psychological, financial), risks and investments are low. This review provides a snapshot and reference base for academics and practitioners with an interest in cybercrime while contributing to a cumulative culture which is desired in the field. This chapter provides insights into barriers to entry into cybercrime and the facilitators of cybercrime.
From Relationship to Information
Authors: Yang Chen , Ha Louisa , Yun Gi Woong , Chen Lanming
Published: June 2015

By measuring social media users' online activities in terms of information broadcasting, information seeking and relational maintenance, this chapter aimed at investigating how college students' SNS usage patterns may affect their online social network sizes. Statistics in this chapter suggested that more information seeking leads to more Twitter followings while more information broadcasting results in a larger size of Twitter followers. The frequency of relationship management, however, did not predict students' social network size on either Twitter or Facebook. Implications of the study were discussed.
Gene Clustering Using Metaheuristic Optimization Algorithms
Authors: Banu P. K. Nizar , Andrews S.
Published: June 2015

Gene clustering is a familiar step in the exploratory analysis of high dimensional biological data. It is the process of grouping genes of similar patterns in the same cluster and aims at analyzing the functions of gene that leads to the development of drugs and early diagnosis of diseases. In the recent years, much research has been proposed using nature inspired meta-heuristic algorithms. Cuckoo Search is one such optimization algorithm inspired from nature by breeding strategy of parasitic bird, the cuckoo. This paper proposes cuckoo search clustering and clustering using levy flight cuckoo search for grouping brain tumor gene expression dataset. A comparative study is made with genetic algorithm, PSO clustering, cuckoo search clustering and clustering using levy flight cuckoo search. Levy flight is an important property of levy distribution which covers the entire search space. Breeding pattern of cuckoo is associated with the genes that cause tumor to grow and affect other organs gradually. Clusters generated by these algorithms are validated to find the closeness among the genes in a cluster and separation of genes between clusters. Experimental results carried out in this paper show that cuckoo search clustering outperforms other clustering methods used for experimentation.
Multi-Objective Optimal Power Flow using BAT Search Algorithm with Unified Power Flow Controller for Minimization of Real Power Losses
Authors: Rao B. Venkateswara , Kumar G. V. Nagesh
Published: June 2015

In this paper a multi objective optimal power flow (OPF) is obtained by using BAT search algorithm (BAT) with Unified power flow controller (UPFC). UPFC is a voltage source converter type Flexible Alternating Current Transmission System (FACTS) device. It is able to control the voltage magnitudes, voltage angles and line impedances individually or simultaneously. UPFC along with BAT algorithm is used to minimize the total real power generation cost, real power losses in OPF control. The BAT algorithm based OPF has been examined and tested on a 5 bus test system and modified IEEE 30 bus system without and with UPFC. The results obtained with BAT algorithm are compared with Differential Evaluation (DE).
Customer Management Practices
Authors: Kushwaha Gyaneshwar Singh , Agrawal Shiv Ratan
Published: June 2015

The paper explores the interrelationships between service quality, customer satisfaction, customer retention, and customer loyalty through multiple (three) case studies in stock broking settings. A semi-structured, face-to-face interview was conducted of staff members. The findings from the study show that service quality as an overall and each of them are positively associated with customer satisfaction. The findings also suggested that customer retention is the predictor for customer loyalty in stock broking services. The proposed theory model may provide adoption guidance and a practical foundation for customer management to managers.
The Use of Social Media Among Public Relations Students in the UAE
Authors: Mohamed Hamza Saad
Published: June 2015

The purpose of this study is to examine public relations (PR) students' use of social media in the United Arab Emirates (UAE). A total of 200 undergraduate public relations' students participated in the study. This research is an attempt to shade some light on the patterns of social media uses and purposes of uses by public relations students in the UAE. It also explores public relations students' attitude towards social media. The study uses quantitative approaches for research methodology. Results indicated that students use social media for friendship and entertainment purposes than educational purposes. Additionally, WhatsApp is the most used social media application, while Facebook came in low level among public relations students.
Developing and Implementing a Selection Model of Brand TV Commercial Script for a Real Estate Agency
Authors: Hsu Pi-Fang , Chueh Hung-Yu , Tsai Chia-Wen
Published: June 2015

When enterprises want to gain visibility in the short term, the fastest way is through the TV media, with a penetration rate of 90%, to reach as many consumers possible. To ensure the optimal allocation of the media budget, the content of an enterprise's TV commercial should be well-grounded in the principles of advertising effectiveness. This study develops a model to aid businesses' selection of TV commercial scripts and the model is divided into two parts using the example of a real estate agency. The first is to build suitable criteria to evaluate TV commercial script via an analysis of relevant literature and the Modified Delphi method; the relative weights of the criteria were then determined via Analytic Hierarchy process (AHP). The other part is to determine the optimum script for TV commercial using the Grey Relational Analysis (GRA). The example of a famous real estate agency in Taiwan is used to show how TV commercial scripts can be selected using this model. The results address factors such as “Ease in Leading to Consumer Acceptance”, “Appearance of The Advertisement”, “Purpose of Community Message”, “Effects of The Advertisement”, and “Commercial Script Content Settings” that are the most vital criteria in sequence. How advertising appeals and gains consumer acceptance, how it renders consumers' needs, its effects, and the script's content that are the most vital criteria in the selection of brand TV commercial scripts. The proposed model helps the real estate agency to effectively select TV commercial scripts, making it highly applicable for both academia and commerce.
A Netnographic Analysis of Facebook Content Strategy of World's Top 10 Management Institutes
Authors: Pillai Anandan , Chauhan Kalpana
Published: June 2015

This research paper analyzes the content strategy of World's top 10 management institutes that they followed on Facebook to understand the importance of content strategy in building brand communities. It uses the Netnographic approach to analyse the content strategy and establishes that the content context i.e. its relevance to the community matters the most in building strong community. This research would fill the gap that existed in the brand community literature where researchers hardly discussed about relevance of content strategy in brand's social media strategy.
Development of a Measurement Instrument for Website Design Utilizing Analytic Hierarchy Process (AHP) Multi-Attribute Decision Modeling
Authors: Cheek Ron , Sale Martha L. , Schwarz Colleen
Published: June 2015

For many organizations their websites are the first impression customers have of their companies. The impact and importance of web design on organizations continues to dramatically increase. Yet many organizations continue to struggle to find tools to strategically analyze their websites and overall online presence. While there have been numerous studies offering “best practices” for website design, most of these are dated and do not take into consideration new applications and social media tools that come into the market. In our research over 900 surveys were conducted on Inc. Magazine's Top 500 list (2011-13) of fastest growing companies in the United States. The analysis of these surveys resulted in a list of shared elements (best practices) common to the websites surveyed. Through the use of the Analytic Hierarchy Process (AHP) Multi-attribute Decision Model, we developed a measure by which companies can assess their web presence in comparison to this best practices model. This model provides an internally consistent, robust model against which to measure an organization's website.
Who (Dis)Continues to use SMS in the Age of Ubiquitous Mobile Internet Access?
Authors: Gerpott Torsten J.
Published: June 2015

Using data of 11526 residential postpaid subscribers of the German subsidiary of a multinational mobile network operator (MNO) extracted from the firm's customer and billing records, this investigation empirically examines the association between monthly mobile Internet (MI) data traffic volume generated by consumers and their monthly number of SMS sent at the within- and between-subjects levels over 25 months from October 2011 to October 2013. Multilevel analysis of the time-varying and -constant study variables suggests that, in spite of a sharp decrease in the average/median number of outgoing SMS in the course of the investigation period, customer heterogeneity with regard to the relationship between MI and SMS use intensities is very large. The number of customers with a negative with-person regression slope for MI data volume is almost as high as the number of consumers, whose slope is positive. Subscribers, who are most likely to reduce their SMS volume in parallel to an increase of their MI data traffic, are persons, who (1) are heavy SMS users in the initial study period (October 2011), (2) are female, (3) have a longer MNO tenure, (4) are currently in an SMS flat price scheme, (5) are presently equipped with an Apple iPhone or a Samsung Galaxy smartphone and (6) put their current handset into operation more recently. Implications of these findings for service-marketing strategies of MNO and for future research on demand interdependencies between relatively newly introduced and well-established mobile communications services are discussed.
Pressing the Play Button
Authors: Erturkoglu Zeynep , Zhang Jing , Mao En
Published: June 2015

Due to the penetration of the Internet, social mobile games have become one of the most popular entertaining virtual activities and hence, created a new market for online social networking. In this project, the authors examine the factors that drive consumers' intentions to play social mobile games and spread positive word-of-mouth about the games. Expanding the Uses and Gratifications Theory, a research model is developed to test six factors, including perceived entertainment, social interaction, pass time, game popularity, usability, and trust. The research model was tested with 387 responses from online participants using SmartPLS. The results revealed that four factors - perceived entertainment, game popularity, usability and trust - significantly influenced both intentions to play social mobile games and spread positive word-of-mouth. Social interaction was found to influence intention to spread word-of-mouth only. Practical implications and theoretical contributions of the study findings are discussed in the context of social mobile networking.
An Effectiveness Model for Enterprise Architecture Methodologies
Authors: Rouhani Babak Darvish , Mahrin Mohd Naz'ri , Shirazi Hossein , Nikpay Fatemeh , Rouhani Bita Darvish
Published: June 2015

Enterprise Architecture (EA) is employed by enterprises for providing integrated environment to support the alignment of enterprise's business and Information Technology (IT). EA Implementation Methodology (EAIM) provides methods for managing, developing, and maintaining EA implementation. Several EAIMs have been proposed in literature; however effectiveness of EAIM has mostly been anecdotal, and research on this subject is still scant in the academic circles. This research is a survey study on the factors that affect the effectiveness of EAIM using quantitative approach. This study aims to explore the factors that affect the effectiveness of EAIM and proposed the effectiveness model for EAIMs. The exploratory factor analysis highlights a specific set of five factors: alignment, adaptiveness, support, binding, and innovation. The regression analysis shows that there is a statistically significant and positive relationship between each of the five factors and the effectiveness of EAIM. The findings contribute to the measurement of the EA implementation's effectiveness by providing an indication of the measurement implementation approaches which is used by the EA practitioners. Moreover, the proposed model can be used on developing an effective EAIM.
Using Ontological E-Services Framework to Orchestrate E-Business Process Services
Authors: Chou Tung-Hsiang , Lee Ching-Chang , Lin Chin-Wen
Published: June 2015

The Internet has come a long way over the past twenty years, and many Internet-era enterprises have had to face daunting challenges while trying to create innovative business models. Many types of Internet interactions can facilitate networking (e.g., The Web, Web services). Since the advent of the Internet, service requesters and service providers have generated diverse electronic services (e-services), and since 2003, many experts have proposed the concept of Web 2.0. People rely on Internet e-services to execute activities and meet requirements; however, e-services lack a standardization method for constructing and managing them. The current study presents a framework design and a comprehensive interface for e-service providers and requesters. The study adopts the concept of Web 2.0 by using Web services with related standards for developing the framework design. Specifically, the study uses semantic Web technologies to complete the construction of e-services. After that, Internet users can quickly and conveniently access the framework to obtain suitable e-services.
BISC
Authors: Dokhanchi Atieh , Nazemi Eslam
Published: June 2015

Despite the importance and the strategic role of Business Intelligence (BI) in organizations and its key impact on successfully executing corporate strategies, in most cases, strategic planning and performance management projects are done independently from BI projects, therefore a holistic and an integrated framework has been proposed in this paper for aligning Business Intelligence initiatives with corporate strategies. This framework as an interdisciplinary work borrows the approach of the Enterprise Architecture frameworks and its structured logical thinking about the organization and was refined through gathering and analyzing expert's opinions. This paper also uses a case study in one bank with the aim of clarifying the application of the proposed framework.
Study of Autonomous Wind Energy Systems with Battery Storage (AWESBS) for Mountainous Rural Area Electrification in Algeria
Authors: Koussa Djohra Saheb , Koussa Mustapha , Hadji Seddik
Published: June 2015

This paper presents a simulation investigation of a specific AWESBS basing on MATLAB/SIMULINK software. The considered household load is situated in Bouzaréah in Algeria. An economic analysis has been also considered. As simulation results, it is observed that the coverage provided by the wind/battery system depends on the wind turbine nominal power. It is observed also that it depends on the local wind speed distribution as far as the economic results are concerned. It appears that the cost of the energy produced by the wind/battery system is very high (1.2 - 2.5 $/kWh) compared to those corresponding to conventional installations (0.4 $/kWh). This, however, is not to be considered as a negative determinant factor since the local authorities plan to manufacture renewable energy equipment locally and, by doing so, cancel the effects of subsidizing the local fossil fuels on the imported machines costs, which will in turn be favorably reflected on renewable energy costs.
Hybrid Wind/Electric Powered Vehicle
Authors: Atieh Ahmad , Al Shariff Samir
Published: June 2015

Hybrid wind/electric powered vehicle is built and demonstrated. The vehicle uses bank of batteries to drive it. The batteries drive 3-phase brushless DC motor which moves the vehicle. The motor can rotate up to 2900 revolution per minute (RPM) at 3HP. A wind turbine, which is mounted at 1.5m on the vehicle, uses wind energy to generate electricity and charges the battery bank. A smart charging subsystem is proposed to enable efficient charging of the batteries. The minimum required wind speed to enable battery charging is found to be around 200 RPM.
Extracting Entities of Emergent Events from Social Streams Based on a Data-Cluster Slicing Approach for Ontology Engineering
Authors: Lee Chung-Hong , Wu Chih-Hung
Published: June 2015

In this paper, we describe our work on developing a model and method for extracting key entities from the online social messages regarding emergent events for enhancing ontology engineering, enabling a sensible solution for prevention of similar disasters. Our work started with the development of an event modelling system using a data-cluster slicing approach, which combines analytics of social data and event lifecycle algorithms, allowing for large-scale emerging novel events to be quickly and accurately analyzed. Subsequently, our system computes the energy of each collected event data sets, and then encapsulates ranked temporal, spatial and topical keywords into a structured node for event-entity extraction, in order to update event ontologies for fast response of emergent events. The preliminary experimental results demonstrate that our developed system is workable, allowing for prediction of possible evolution and early warning of critical incidents with a support of dynamic entity extraction.
Application of Domain Ontologies to Natural Language Processing
Authors: Herrero-Zazo María , Segura-Bedmar Isabel , Hastings Janna , Martínez Paloma
Published: June 2015

Natural Language Processing (NLP) techniques can provide an interesting way to mine the growing biomedical literature, and a promising approach for new knowledge discovery. However, the major bottleneck in this area is that these systems rely on specific resources providing the domain knowledge. Domain ontologies provide a contextual framework and a semantic representation of the domain, and they can contribute to a better performance of current NLP systems. However, their contribution to information extraction has not been well studied yet. The aim of this paper is to provide insights into the potential role that domain ontologies can play in NLP. To do this, the authors apply the drug-drug interactions ontology (DINTO) to named entity recognition and relation extraction from pharmacological texts. The authors use the DDI corpus, a gold-standard for the development and evaluation of IE systems in this domain, and evaluate their results in the framework of the last SemEval-2013 DDI Extraction task.
Ontological Random Forests for Image Classification
Authors: Xu Ning , Wang Jiangping , Qi Guojun , Huang Thomas , Lin Weiyao
Published: June 2015

Previous image classification approaches mostly neglect semantics, which has two major limitations. First, categories are simply treated independently while in fact they have semantic overlaps. For example, “sedan” is a specific kind of “car”. Therefore, it's unreasonable to train a classifier to distinguish between “sedan” and “car”. Second, image feature representations used for classifying different categories are the same. However, the human perception system is believed to use different features for different objects. In this paper, we leverage semantic ontologies to solve the aforementioned problems. The authors propose an ontological random forest algorithm where the splitting of decision trees are determined by semantic relations among categories. Then hierarchical features are automatically learned by multiple-instance learning to capture visual dissimilarities at different concept levels. Their approach is tested on two image classification datasets. Experimental results demonstrate that their approach not only outperforms state-of-the-art results but also identifies semantic visual features.
Hybrid Approach for Single Text Document Summarization Using Statistical and Sentiment Features
Authors: Yadav Chandra Shekhar , Sharan Aditi
Published: June 2015

Summarization is a way to represent same information in concise way with equal sense. This can be categorized in two type Abstractive and Extractive type. Our work is focused around Extractive summarization. A generic approach to extractive summarization is to consider sentence as an entity, score each sentence based on some indicative features to ascertain the quality of sentence for inclusion in summary. Sort the sentences on the score and consider top n sentences for summarization. Mostly statistical features have been used for scoring the sentences. A hybrid model for a single text document summarization is being proposed. This hybrid model is an extraction based approach, which is combination of Statistical and semantic technique. The hybrid model depends on the linear combination of statistical measures: sentence position, TF-IDF, Aggregate similarity, centroid, and semantic measure. The idea to include sentiment analysis for salient sentence extraction is derived from the concept that emotion plays an important role in communication to effectively convey any message hence, it can play a vital role in text document summarization. For comparison, five system summaries have been generated: Proposed Work, MEAD system, Microsoft system, OPINOSIS system, and Human generated summary, and evaluation is done using ROUGE score.
An Adaptive Elastic Net Method for Edge Linking of Images
Authors: Yi Junyan , Yang Gang , Ma Xiaoxuan , Shen Xiaoyun
Published: June 2015

In this paper, the authors propose an adaptive Elastic Net method for edge linking of images. Edge linking is a fundamental computer-vision task, which is a constrained optimization problem. In the proposed method, an adaptive dynamic parameter strategy and a stochastic noise strategy are introduced into the Elastic Net, which enables the network to have superior ability for escaping from local minima and converge sooner to optimal or near-optimal solutions. Simulations confirm that the proposed method could produce more meaningful contours than the original Elastic Net in shorter time.
The Model-free Adaptive Composite Control Method for Permanent Magnet Linear Motor
Authors: Cao Rongmin , Zhong Su , Liu Shizhen
Published: June 2015

A composite control method based on the model-free adaptive control is applied to the position or speed control of the linear motor. The model-free adaptive controller (MFAC) broke through the classical PID controller design of linear framework, is a kind of new controller, it' structure is adaptive and a kind of integration of modeling and control method. The composite control method includes an adaptive feedforward compensator which is designed to eliminate or suppress the effects of inherent force ripple for a permanent magnet linear motor (PMLM). Simulation results show that compared with PID control, the proposed composite control algorithm is more effective for the strong coupling of nonlinear system and difficult to realize stable control. And the response performance of the system is realized.
A Distributed and Local-World Topology Evolution Model for Wireless Sensor Network
Authors: Zhang Changlun , Li Chao , Mu Haibing
Published: June 2015

In this paper, a new evolution model based on complex network among the cluster heads in wireless sensor network is proposed. The evolution model considered distributed and local-world mechanism during the evolving process. The theoretical analysis of this model exhibits a power-law degree distribution with mean-field theory, which provides good fault-tolerance. The degree exponent is not a fixed number, which changes with the distribution of the cluster heads and the energy as well as the communication radius. Furthermore, the degree exponent can lead to an upper limit -2 when the distribution of the cluster heads and the energy are both uniform distribution. Analysis and simulation show that the network exhibits well robustness and a power-law degree distribution.
Development of a Satellite Communication Emulator for the Hyperspectral Microwave Atmosphere Sounder (HYMAS)
Authors: Javidi Giti , Sheybani Ehsan , Williams Janelle
Published: June 2015

Major weather facilities around the world recognize microwave atmospheric sounding is the key to developing technology for forthcoming weather and climate missions. The mission for Hyperspectral Microwave Atmospheric Sounder (HyMAS) Emulator is to produce a model for demonstrating the hyperspectral techniques that retrieve data near 118 and 183 GHz through a 52 channel Intermediate Frequency processor. This project establishes a test bed that mimics the functionality of the instrument such as how data is retrieved and processed through computers in the instrument. The computers are programmed using a new framework application called Interoperable Remote Component. This software allows flexibility to program computers on how to communicate with each other, what devices to connect to and other factors.
Object-of-Interest Retrieval in Social Media Image Databases for e-Crime Forum Detection
Authors: Liao Xinpeng L. , Chitrakar Pradip , Zhang Chengcui , Warner Gary
Published: June 2015

Using object-of-interest matching to detect presence of e-Crime activities in low-duplicate social media images is an interesting yet challenging problem that involves many complications due to the dataset's inherent diversity. SURF-based (Speeded Up Robust Features) object matching, though claimed to be scale and rotation invariant, is not effective as expected in this domain. This paper approaches this problem by an extended paradigm of Generalized Hough Transform using shape matching applied to two types of object-of-interest, Guy Fawkes Mask and Credit Card. We propose an extended GHT that updates the best matching score and the sum up score simultaneously, combined with a face detector and circular magnitude ranker, for detecting Guy Fawkes; also proposed is an extended GHT capable of mining the directional property in Hough space, combined with optical character recognition and an edge density filter, for detecting credit cards. Experiments on two real world datasets indicate that our approach outperforms the baseline GHT and the SURF.
Use of Scripted Role-Play in Evaluation of Multiple-User Multiple-Service Mobile Social and Pervasive Systems
Authors: Jennings Edel , Roddy Mark , Leckey Alexander J. , Feigenblat Guy
Published: June 2015

Mobile and social computing is rapidly evolving towards a deeper integration with the physical world due to the proliferation of smart connected objects. It is widely acknowledged that involving end users in the design, development and evaluation of applications that function within the resulting complex socio-technical systems is crucial. However, reliable methods for managing evaluation of medium fidelity prototypes, whose utility is often dependent on rich data sets and/or the presence of multiple users simultaneously engaging in multiple activities, have not yet emerged. The authors report on the use of scripted role-play as an experimental approach applied in a mixed-methods evaluation of early prototypes of a suite of professional networking applications targeting a conference attendance scenario. Their evaluation was significantly constrained by the limited availability of a small cohort of end users for a relatively short period of time, which pose a challenge to define interactions that would ensure these users could experience and understand the novel application features. The authors observed that participatory role-play facilitated deeper user engagement with, exploration of, and discussion about, the mobile social applications than would have been possible with traditional usability approaches given the small user cohort and the time-constrained conditions.
Exploring Boundaries to the Benefits of Lifelogging for Identity Maintenance for People with Dementia
Authors: Piasek Paulina , Irving Kate , Smeaton Alan F.
Published: June 2015

In the absence of a medical cure for some forms of memory loss caused by dementia, new technologies specialised in pervasive image recording are being incorporated into practical interventions. Lifelogging is the digital capture of life experiences typically using mobile devices such as SenseCam. This lightweight wearable digital camera passively captures up to 3,000 images a day. Lifelogging results in personal, recent visual prompts, potentially encouraging the sharing of personal memories. The authors' research investigated the incorporation of lifelogging technology into a therapeutic approach to support people with dementia by using the case study method, an exploratory and descriptive approach. SenseCam therapy aimed to stimulate the cognition of a person with dementia, with maintenance of their personal identity as its primary goal. There is limited literature on practical recommendations on how to use lifelogging devices and their effect on people with dementia. The results from the authors' research indicate a number of factors that should be considered when using lifelogging technology with people with dementia. This paper explores the boundaries to the benefits of using lifelogging technology for identity maintenance in dementia. Implications of not working within these boundaries show clear potential for risk of undermining the human rights and potentially the wellbeing of people with dementia.
Coordinating Massive Robot Swarms
Authors: MacLennan Bruce J.
Published: June 2015

This paper addresses the problem of how to coordinate the behavior of very large numbers of microrobots in order to assemble complex, hierarchically structured physical objects. The approach is patterned after morphogenetic processes during embryological development, in which masses of simple agents (cells) coordinate to produce complex three-dimensional structures. In order to ensure that the coordination mechanisms scale up to hundreds of thousands or millions of microrobots, the swarm is treated as a continuous mass using partial differential equations. The paper presents algorithms and simulations for assembling segmented structures (artificial spines and legs) and for routing artificial neural fiber bundles.
Passive Localization of a Robot Using Multiple-View Geometry
Authors: Khoramshahi Ehsan , Honkavaara Eija , Hyyppä Juha , Myllymäki Petri
Published: June 2015

Finding the location of a robot, equipped with an imaging sensor, by taking photos from its surrounding environment is a multifaceted task consisting several obligatory phases. It starts from the calibration of a sensor, and ends in propagation of errors, to consequently express our uncertainty about the unknowns. This article uses a mathematical language to elaborate a model based on recent trends to show how the structure and motion can be estimated by image-processing methods on digital images taken from a regular non-metric camera. The direct and inverse Brown's model for calibration, as well as the basic definition of an image pyramid is discussed first. The concepts of Epipolar geometry, collinearity and co-planarity, and registrations of models, are described next. Generating a reference map, the bundle-adjustment and localization are presented finally. In the last sections, some recent trends about parallel computing are reviewed, and recommendations for building a real-time system are discussed.
Positioning Autonomous Mobile Robot Based on Measurements Onboard Digital Stereo Vision System
Authors: Kravtsov Sergey Valentinovich , Rumjantsev Konstantin Evgenjevich
Published: June 2015

The problem of local positioning of autonomous mobile robot acting on an unknown scene. The measuring instrument is analyzed on-board stereo vision system consisting of two collinear digital camcorders. The description of the measurement space of digital stereo vision, proposed a stochastic model of the measurement errors of point features scenes. The problem of optimizing the choice of reference for local positioning of autonomous mobile robot. A method for communication dynamics of movement of the mobile robot with the parameters of the digital system stereovision.
Design and Implementation of BIOLOID Humanoid Robot
Authors: Ayala Hilberto , Fu Yujian
Published: June 2015

Research in humanoid robot design and implementation is quite challenging due to the complexity of the system and multiple objects involved. Stability, gait generation, navigation and object detection and recognition are all key factors in the humanoid robot design. Researchers in humanoid robot design has put dramatic efforts on one aspect and made assumption on many other aspects. Humanoid robot research involves challenge issues of stability of motion, body movement, navigation, in addition to the issues of path generation, object detection, collision avoidance in the wheeled robots. Rooted from the previous experimental study of wheeled robotics systems, the research project of BIOLOID humanoid robot was started on Fall 2013 and supported by Title III Strengthening Grant Program (HBGI) (DAAD17-02-C-0113). In this paper, we give an overview of the project design and implementation of BIOLOID humanoid robot, including hardware architecture, firmware design and device management, in an overall perspective research work of the motion planning of humanoid robots. In addition, a wide discussion of the issues we faced and challenges of research work is presented, with the results of the current on-going progress. This work will cover the overall hardware architecture, model based system design and behavior analysis using a systematic approach. The work is implemented on a soccer game scenario with a goalie and an offender role. This project has demonstrated a successful development process of collaborative humanoid robotics on a complex research and education platform of BIOLOID using a software engineering approach.
Business Intelligence System Design and its Consequences for Knowledge Sharing, Collaboration, and Decision-Making
Authors: Mola Lapo , Rossignoli Cecilia , Carugati Andrea , Giangreco Antonio
Published: June 2015

This exploratory study analyses the effects of the technical and organisational characteristics of business intelligence systems (BIS) on knowledge sharing, collaboration, and decision-making processes. The authors conducted a two-phase multi-method investigation. First, we surveyed 30 enterprises using BIS on a regular basis; then, we engaged in an in-depth case study with one of the respondent companies. Our results show that, on average, the technical and organisational characteristics of the BIS are positively associated with an increase in knowledge sharing, leading to an improvement in internal collaboration that subsequently brings improvement in the quality of decision-making. This case study adds that the way the BIS is designed and appropriated in organisations is important in obtaining such results is. A BIS being designed so that it can be appropriated by the general employee base is key in obtaining the desired organizational impacts. This suggests some requirements for BIS design that we will discuss in terms of theoretical and managerial implications.
Happiness or Addiction
Authors: Yu Sen-Chi
Published: June 2015

The psychological consequences of Facebook use remain controversy since most previous studies used vague and non-psychological-theory-driven indicators. To better understand the potential consequences of Facebook use, this study developed the Facebook Psychological Involvement Scale (FPIS).With 682 Taiwanese university students as subjects, this study analysed the reliability and validity of the scale using structural-equation-modeling (SEM). Results showed that FPIS had strong reliability and validity. Besides, the correlations between FPIS and internet addiction/positive-psychological states (PPS) were significantly stronger than those of usage time and number of Facebook friends, indicating that FPIS is a more effective predictor of the psychological consequences of Facebook usage.
The role of magnetic resonance imaging in assessing venous vascular abnormalities in the head and neck: a demonstration of cerebrospinal venous insufficiency in a subset of multiple sclerosis patients
Authors: Haacke E. Mark , Sethi Sean K. , Jiang Jing , Wang Ying , Utriainen David T.
Published: June 2015

The study of chronic cerebrospinal venous insufficiency (CCSVI) and its impact on the development and progression of multiple sclerosis (MS) remains controversial. Although the initial thrust in evaluating CCSVI was with ultrasound, other modalities including magnetic resonance imaging (MRI) have been used to study venous vascular abnormalities. This review focuses on the findings of a number of past MRI studies including a look at a combined study of four previous works with a cohort of 559 MS patients regarding structure and function of the extra-cranial vasculature. Strengths and limitations of each paper are discussed which give insight into conflicting reports of venous abnormalities in MS patients and healthy controls. Guidelines for data acquisition and analysis for future studies related to extra-cranial structure and flow, both arterial and venous, are discussed. This includes the grading of stenosis of the internal jugular veins (IJVs) as well as normalized flows through major veins of the neck. The lack of agreement between most studies is likely due to inconsistent data acquisition and incomplete data analysis. Our own work over four independent sites shows good agreement, indicating that there is a high incidence of stenosis and structural venous abnormalities in the MS population and that this change results in reduced outflow of the IJVs and increased collateralization of venous return to the heart compared to healthy controls.
Segmentation and Reconstruction of Buildings with Aerial Oblique Photography Point Clouds
Authors: Liu P. , Li Y. C. , Hu W. , Ding X. B.
Published: June 2015

Abstract. Oblique photography technology as an excellent method for 3-D city model construction has brought itself to large-scale recognition and undeniable high social status. Tilt and vertical images with the high overlaps and different visual angles can produce a large number of dense matching point clouds data with spectral information. This paper presents a method of buildings reconstruction with stereo matching dense point clouds from aerial oblique images, which includes segmentation of buildings and reconstruction of building roofs. We summarize the characteristics of stereo matching point clouds from aerial oblique images and outline the problems with existing methods. Then we present the method for segmentation of building roofs, which based on colors and geometrical derivatives such as normal and curvature. Finally, a building reconstruction approach is developed based on the geometrical relationship. The experiment and analysis show that the methods are effective on building reconstruction with stereo matching point clouds from aerial oblique images.
Extract relevant features from DEM for groundwater potential mapping
Authors: Liu T. , Yan H. , Zhai L.
Published: June 2015

Abstract. Multi-criteria evaluation (MCE) method has been applied much in groundwater potential mapping researches. But when to data scarce areas, it will encounter lots of problems due to limited data. Digital Elevation Model (DEM) is the digital representations of the topography, and has many applications in various fields. Former researches had been approved that much information concerned to groundwater potential mapping (such as geological features, terrain features, hydrology features, etc.) can be extracted from DEM data. This made using DEM data for groundwater potential mapping is feasible. In this research, one of the most widely used and also easy to access data in GIS, DEM data was used to extract information for groundwater potential mapping in batter river basin in Alberta, Canada. First five determining factors for potential ground water mapping were put forward based on previous studies (lineaments and lineament density, drainage networks and its density, topographic wetness index (TWI), relief and convergence Index (CI)). Extraction methods of the five determining factors from DEM were put forward and thematic maps were produced accordingly. Cumulative effects matrix was used for weight assignment, a multi-criteria evaluation process was carried out by ArcGIS software to delineate the potential groundwater map. The final groundwater potential map was divided into five categories, viz., non-potential, poor, moderate, good, and excellent zones. Eventually, the success rate curve was drawn and the area under curve (AUC) was figured out for validation. Validation result showed that the success rate of the model was 79% and approved the method’s feasibility. The method afforded a new way for researches on groundwater management in areas suffers from data scarcity, and also broaden the application area of DEM data.
Similarity measures of full polarimetric SAR images fusion for improved SAR image matching
Authors: Ding H.
Published: June 2015

Abstract. China’s first airborne SAR mapping system (CASMSAR) developed by Chinese Academy of Surveying and Mapping can acquire high-resolution and full polarimetric (HH, HV, VH and VV) Synthetic aperture radar (SAR) data. It has the ability to acquire X-band full polarimetric SAR data at a resolution of 0.5m. However, the existence of speckles which is inherent in SAR imagery affects visual interpretation and image processing badly, and challenges the assumption that conjugate points appear similar to each other in matching processing. In addition, researches show that speckles are multiplicative speckles, and most similarity measures of SAR image matching are sensitive to them. Thus, matching outcomes of SAR images acquired by most similarity measures are not reliable and with bad accuracy. Meanwhile, every polarimetric SAR image has different backscattering information of objects from each other and four polarimetric SAR data contain most basic and a large amount of redundancy information to improve matching. Therefore, we introduced logarithmically transformation and a stereo matching similarity measure into airborne full polarimetric SAR imagery. Firstly, in order to transform the multiplicative speckles into additivity ones and weaken speckles' influence on similarity measure, logarithmically transformation have to be taken to all images. Secondly, to prevent performance degradation of similarity measure caused by speckles, measure must be free or insensitive of additivity speckles. Thus, we introduced a stereo matching similarity measure, called Normalized Cross-Correlation (NCC), into full polarimetric SAR image matching. Thirdly, to take advantage of multi-polarimetric data and preserve the best similarity measure value, four measure values calculated between left and right single polarimetric SAR images are fused as final measure value for matching. The method was tested for matching under CASMSAR data. The results showed that the method delivered an effective performance on experimental imagery and can be used for airborne SAR matching applications.
Naming Countermeasures of Administrative Division in Sight of Chinese Naming View
Authors: Niu R. C.
Published: June 2015

Abstract. Although some progresses have been made after nearly 30 years of research and practice of administrative division renaming in China, there are still many problems which have not been really resolved. Moreover, with the beginning of the second place name census across China, scientific and standard administrative division naming countermeasures are of even more importance. In this paper, the problems in present administrative division naming were analyzed, and the basic characters and principles of traditional Chinese noun naming as well as five taboos in Chinese place naming were described by analyzing the theory of Chinese naming concept. Based on the characters above, principles of administrative division renaming and naming conceptions of administrative division were further discussed and analyzed.