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Keyword: SupportThe Visualization of Cattle Movement Data in The State of Pará in 2016 Through Networks of Animal Transit Graphs and Guides
Animal movement is inherent in the marketing between the rural productive units, establishing space-time connections between them. The relational nature of such information is kept in the Animal Transit Guides (GTA), a mandatory issuance in Brazil. When evaluating such set of information, this work aimed at characterizing the bovine movement network in the state of…
Read MoreIR Sensing Embedded System Development for Prototype Mobile Platform and Multisensory Data Fusion for Autonomous Convoy
Advanced sensing technologies are providing for greater capabilities to discern and classify details of objects as they appear in actual environments as experienced by nonprofessional drivers. Distinctive geometric configurations of new sensory devices including but not limited to infrared (abbreviated as IR) and LIDAR sensory units are appearing as cost effective data acquisition systems for…
Read MoreAmplitude-Frequency Analysis of Emotional Speech Using Transfer Learning and Classification of Spectrogram Images
Automatic speech emotion recognition (SER) techniques based on acoustic analysis show high confusion between certain emotional categories. This study used an indirect approach to provide insights into the amplitude-frequency characteristics of different emotions in order to support the development of future, more efficiently differentiating SER methods. The analysis was carried out by transforming short 1-second…
Read MoreThe experience of implementation with Agile Business Process Management
This paper is an extension of work originally presented at the Convention of Central America and Panama XXX VII- The Institute of Electrical and Electronic Engineers -2017. We have extended our previous work by presenting the initial results of how social technologies in particular wikis has the potential for Information Technology support of a cooperative…
Read MoreSequential Card Activities of Recollect Experience for Elderly with Dementia
In this study, the authors propose a modified design of sequential card activities to recollect experience for the elderly with Dementia. The cards and App were designed to complement each other for Nostalgia-based support. Image and text are utilized to trigger memories that bring out shared experience from the patient. By using suitable trigger elements,…
Read MoreAcoustic Signal Processing and Noise Characterization Theory via Energy Conversion in a PV Solar Wall Device with Ventilation through a Room
Noise defined as ‘a sensation of unwanted intensity of a wave’, is perception of a pollutant and a type of environmental stressor. The unwanted intensity of a wave is a propagation of noise due to transmission of waves (viz. physical agents) such as light, sound, heat, electricity, fluid and fire. The characterization of noise interference,…
Read MoreAn FPGA Implementation of Resource-Optimized Dynamic Digital Beamformer for a Portable Ultrasound Imaging System
This paper presents a resource-friendly dynamic digital beamformer for a portable ultrasound imaging system based on a single field-programmable gate array (FPGA). The core of the ultrasound imaging system is a 128- channel receive beamformer with fully dynamic focusing embedded in a single FPGA chip, which operates at a frequency of 40 MHz. The Rx…
Read MoreLimitations of HVAC Offshore Cables in Large Scale Offshore Wind Farm Applications
The energy marathon is becoming increasingly based on renewable sources, whereas the continuous decrease on the cost of energy production has supported in last decade, for instance, the development of large-scale offshore wind applications. The consistency and availability of the AC-working equipment portfolio is only limited by physical application boundaries, which are quite evident in…
Read MoreAn Advanced Algorithm Combining SVM and ANN Classifiers to Categorize Tumor with Position from Brain MRI Images
Brain tumor is such an abnormality of brain tissue that causes brain hemorrhage. Therefore, apposite detections of brain tumor, its size, and position are the foremost condition for the remedy. To obtain better performance in brain tumor and its stages detection as well as its position in MRI images, this research work proposes an advanced…
Read MoreCancer Mediating Genes Recognition using Multilayer Perceptron Model- An Application on Human Leukemia
In the present article, we develop multilayer perceptron model for identification of some possible genes mediating different leukemia. The procedure involves grouping of gene based correlation coefficient and finally select of some possible genes. The procedure has been successfully applied three human leukemia gene expression data sets. The superiority of the procedure has been demonstrated…
Read MoreAuto-Encoder based Deep Learning for Surface Electromyography Signal Processing
Feature extraction is taking a very vital and essential part of bio-signal processing. We need to choose one of two paths to identify and select features in any system. The most popular track is engineering handcrafted, which mainly depends on the user experience and the field of application. While the other path is feature learning,…
Read MoreA Perfect Ecosystem for Learning? Modern Thoughts for Organizing Higher Education
The background of the article lies in South Eastern Finland, in Lappeenranta, where an active University campus has attracted a group of ICT startups as well as SME’s in the field to collaboration. The novel education approach also has another remarkable role as a developer and source of innovation. An experimental development ecosystem (EDE), where…
Read MoreA Taxonomy for Enhancing Usability, Flexibility, and Security of User Authentication
Two technology trends – a move toward software defined capabilities and toward networked devices – support both unprecedented innovations and requirements for security. A fundamental aspect of security is user authentication, which allows devices and software applications to establish their user’s identity and identity is in turn used to establish which of its capabilities the…
Read MoreA New profiling and pipelining approach for HEVC Decoder on ZedBoard Platform
New multimedia applications such as mobile video, high-quality Internet video or digital television requires high-performance encoding of video signals to meet technical constraints such as runtime, bandwidth or latency. Video coding standard h.265 HEVC (High Efficiency Video Coding) was developed by JCT-VC to replace the MPEG-2, MPEG-4 and h.264 codecs and to respond to these…
Read MoreTheoretical developments for interpreting kernel spectral clustering from alternative viewpoints
To perform an exploration process over complex structured data within unsupervised settings, the so-called kernel spectral clustering (KSC) is one of the most recommended and appealing approaches, given its versatility and elegant formulation. In this work, we explore the relationship between (KSC) and other well-known approaches, namely normalized cut clustering and kernel k-means. To do…
Read MoreLifelong Learning Application: Mobile Application to Promote Lifelong Learning and Introduce Educational Institutions
Education is the raising of the thinking process and developing the mind in a broader perspective. However, education that is comprehensive and appropriate to the individual according to its potential, ability and skill is too hardest to describe. Thus, matching and referral institutions, including education model that suits the person’s behavior has been receiving attention.…
Read MorePublic transportation network design: a geospatial data-driven method
The paper explores an issue of efficient public transportation network design as a part of the urban developing process. Having data about everyday residents travelling inside of an urban area, we can consider this data as people’s requirements for the public transport system. We propose a novel method for initial public transportation network design based…
Read MoreA novel algorithm for detecting human circadian rhythms using a thoracic temperature sensor
Circadian rhythms undergo high perturbations due to cancer progression and worsening of metabolic diseases. This paper proposes an original method for detecting such perturbations using a novel thoracic temperature sensor. Such an infrared sensor records the skin temperature every five minutes, although some data might be missing. In this pilot study, five control subjects were…
Read MoreA Microwave Reflectometer Prototype for Detection of Body Through the Rubble of Collapsed Buildings
There is a growing interest in using radio frequency in imaging for problem solving in situational awareness, surveillance, search and rescue operations, and screening for security. This has been fetched from recent development in addition to innovative technologies in microwave radar imaging applications. Despite the fact that no new phenomenology is exposed in this field,…
Read MoreRanking of Two Multi Criteria Decision Making Cases with Evidential Reasoning under Uncertainty
Many decision problems have more than one objective that need to be dealt with simultaneously. Moreover, because of the qualitative nature of the most of real world problem it is an inevitable activity and very important to interpret and present the uncertain information for making effective decision. The Evidential Reasoning (ER) approach which is one…
Read MoreImproving the Performance of Fair Scheduler in Hadoop
Cloud computing is a power platform to deal with big data. Among several software frameworks used for the construction of cloud computing systems, Apache Hadoop, which is an open-source software, becomes a popular one. Hadoop supports for distributed data storage and the process of large data sets on computer clusters based on a MapReduce parallel…
Read MoreEnsemble of Neural Network Conditional Random Fields for Self-Paced Brain Computer Interfaces
Classification of EEG signals in self-paced Brain Computer Interfaces (BCI) is an extremely challenging task. The main difficulty stems from the fact that start time of a control task is not defined. Therefore it is imperative to exploit the characteristics of the EEG data to the extent possible. In sensory motor self-paced BCIs, while performing…
Read MoreTowards Optimality in Online Learning – The OLeCenT Approach
Higher Education Institutions (HEIs) employ Learning Management Systems (LMSs) primarily for greater efficiency, profitability, technological advancement or survival. The predominantly used LMSs, Moodle and Blackboard account for in excess of 60% usage by the top HEIs. However, the individual international regions do not necessarily bear the percentages of the overall total. Gaps are identified in…
Read MoreNetwork Intrusion Detection System using Apache Storm
Network security implements various strategies for the identification and prevention of security breaches. Network intrusion detection is a critical component of network management for security, quality of service and other purposes. These systems allow early detection of network intrusion and malicious activities; so that the Network Security infrastructure can react to mitigate these threats. Various…
Read MoreSpatiotemporal Traffic State Prediction Based on Discriminatively Pre-trained Deep Neural Networks
The availability of traffic data and computational advances now make it possible to build data-driven models that capture the evolution of the state of traffic along modeled stretches of road. These models are used for short-time prediction so that transportation facilities can be operated in an efficient way that guarantees a high level of service.…
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