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Keyword: SupportEarly Detection of Alzheimer’s Using Digital Image Processing Through Iridology, An Alternative Method
Over the years, alternative medicine has carried out numerous systematic studies related to the ophthalmological field, specifically the eye. Studies that propose as support of analysis to the Iridology, which studies the alterations of the iris in correspondence with the organs of the human body. Thus, it presents the opportunity to investigate neuronal diseases related…
Read MoreAnalysis of Fuzzy Data for the Selection of Ingredients of the Polymer Composition by Technical Functions in Quality Management
The task of fuzzy mathematical modeling of the composition of a polymer composition is singled out and formulated, as one of the types of chemical-technological systems for creating the theoretical foundations for managing the physicochemical properties of the material produced from this composition. Fuzzy data on the technical functions and concentration of individual ingredients that…
Read MoreStress Level Classification Using Heart Rate Variability
The research programme reported in this paper is set within the framework of our research under the theme of ICT support for Active Healthy Ageing (AHA). This longitudinal empirical research is focused on the study of the impact on the management of cardio-vascular disease if supported by sustained health monitoring using wearable connected devices. One…
Read MoreRelational Databases Versus HBase: An Experimental Evaluation
Relational database management systems (RDBMS) have been imposed for more than three decades as a facto standard for data storage, management, and analysis. They have a good reputation by supporting ACID properties (Atomicity, Consistency, Isolation, and Durability) and by adopting the SQL language which has become a standardized language. However, despite their power, RDBMS have…
Read MoreComputer Security as an Engineering Practice: A System Engineering Discussion
We examine design principles from more than 20 years of experience in the implementation and protection of mission critical flight systems used by the Mission Design and Navigation Section at NASA’s Jet Propulsion Laboratory. Spacecraft navigation has rigorous requirements for completeness and accuracy, often under critical and uncompromising time pressure. Fault tolerant and robust design…
Read MoreEnabling the Edge – A method for dynamic virtualizable connections for 5G deployments
The telecommunications industry continues to move forward with plans for 5G service with rates including 6Gb/s followed by upgrade paths promising 20Gb/s. Despite advances in wireless technology associated with 5G roll-outs, there remains the problem of providing sufficient backhaul throughput and efficient handling of hand-off services within the relatively small projected cell boundaries that can…
Read MoreDesigning IT Blue Print Academic System on Higher Education with Togaf
STIE XYZ is one of the universities of economics that has not been optimal in the use of information technology. IT implementation is applied when there are urgent and sudden needs. So it is not planned carefully according to the development needs of this educational institution. Therefore many patchy applications are created. As the consequence,…
Read MoreParallel Hybrid Testing Tool for Applications Developed by Using MPI + OpenACC Dual-Programming Model
Building massively parallel applications has become increasingly important with coming Exascale related technologies. For building these applications, a combination of programming models is needed to increase the system’s parallelism. One of these combinations is the dual-programming model (MPI+X) which has many structures that increase parallelism in heterogeneous systems that include CPUs and GPUs. MPI +…
Read MoreFeature Selection for Musical Genre Classification Using a Genetic Algorithm
Music genre classification is an important multimedia research domain, including aspects of music piece representation, distances between genres, and categorization of music databases. The objective of this study was to develop a model for automatic classification of musical genres from audio data by using features from low-level time and frequency domains. These features can highlight…
Read MoreSentiment Analysis of Regional Head Candidate’s Electability from the National Mass Media Perspective Using the Text Mining Algorithm
Mass media plays an important role in leading public opinion, including in the election of regional head candidates. The tendency of mass media coverage can be used as a parameter to measure the strength of each regional head candidate. To analyze the tendency of media opinion, sentiment analysis is needed. In this study, text mining…
Read MoreDesign of an Additively Manufacturable Multi-Material Light-Weight Gripper with integrated Bellows Actuators
Combining state-of-the-art additive manufacturing technologies with structural optimization has the potential to produce geometrically complex multi-material components with integrated functionalities and desired structural behavior. In this article, the simulation-driven design process of a multi-material light-weight gripper with an integrated pneumatic bellows actuator is described. The design of the bellows structure is based on a previously…
Read MoreManaging and Optimizing Quality of Service in 5G Environments Across the Complete SLA Lifecycle
The 5G is the fifth generation of mobile broadband, cellular technologies, and networks that promises a major change in mobility by evolving connected business realities. In such an emerging environment, reliable Service Level Agreements (SLA) and anticipation of breaches of Service Level Objectives (SLO) become compulsory. Thus, guaranteeing the required service quality, while also ensuring…
Read MoreApplication Layer Security Authentication Protocols for the Internet of Things: A Survey
Network security challenges due to nearly limitless internet connectivity, platform limitations, ubiquitous nodal mobility and huge data transactions is burgeoning by the day and the need for transcend Internet of Things (IoT) based cloud security authentication protocols is on an exponential rise. Even though many secure classic layered security mechanisms are available for implementation, they…
Read MoreDevelopment of Application Specific Electronic Nose for Monitoring the Atmospheric Hazards in Confined Space
The presence of atmospheric hazards in confined space can contribute towards atmospheric hazards accidents that threaten the worker safety and industry progress. To avoid this, the environment needs to be observed. The air sample can be monitored using the integration of electronic nose (e-nose) and mobile robot. Current technology to monitor the atmospheric hazards is…
Read MoreA Proposed Architecture for Parallel HPC-based Resource Management System for Big Data Applications
Big data can be considered to be at the forefront of the present and future research activities. The volume of data needing to be processed is growing dramatically in both velocity and variety. In response, many big data technologies have emerged to tackle the challenges of collecting, processing and storing such large-scale datasets. High-performance computing…
Read MoreSimulation-Optimisation of a Granularity Controlled Consumer Supply Network Using Genetic Algorithms
The decision support systems regarding the Supply Chains (SCs) management services can be significantly improved if an effective viable method is utilised. This paper presents a robust simulation optimisation approach (SOA) for the design and analysis of a granularity controlled and complex system known as Consumer Supply Network (CSN) incorporating uncertain demand and capacity. Minimising…
Read MoreParallelizing Combinatorial Optimization Heuristics with GPUs
Combinatorial optimization problems are often NP-hard and too complex to be solved within a reasonable time frame by exact methods. Heuristic methods which do not offer a convergence guarantee could obtain some satisfactory resolution for combinatorial optimization problems. However, it is not only very time consuming for Central Processing Units (CPU) but also very difficult…
Read Morecv4sensorhub – A Multi-Domain Framework for Semi-Automatic Image Processing
Although there are many research domains with very good software support and workflow automation, there are even more which do not have it: software development is too expensive to create domain specific applications for every research topic. This leaves many domain experts to work for example with general purpose image processing and statistics tools. Many…
Read MoreEmotional Impact of Suicide on Active Witnesses: Predicting with Machine Learning
Predicting the impact of suicide on incidental witnesses at an early stage helps to avert the possible side effect. When suicide is committed in public, incidental observers are left to grapple with it. In many cases, these incidental witnesses tend to experience the emotional side effect with time. In this study, we employed a Machine…
Read MoreDifference in Speech Analysis Results by Coding
Mental health disorder is becoming a social problem, and there is a need for technology that can easily check for states of stress and depression as a countermeasure. Conventional methods of diagnostic support and screening include self-administered psychological tests and use of biomarkers. However, there are problems such as burden on subjects, examination costs, dedicated…
Read MoreNumerical Simulation of One Pavement Structure of Polyethylene Terephthalate Submitted to Static Point Loads
Plastic is highly polluting nowadays and is found in many disposable elements used for people. Plastic materials are disposed inadequately and large quantities of them become pollution in the ground, water, and air, affecting plants and animals. Most of the plastic is Polyethylene Terephthalate (PET) which is used in many activities. Resistance, support capacity, and…
Read MoreModified HOG Descriptor-Based Banknote Recognition System
This survey paper deals with the structural health monitoring systems on the basis of methodologies involving intelligent techniques. The intelligent techniques are the most popular tools for damage identification in terms of high accuracy, reliable nature and the involvement of low cost. In this critical survey, a thorough analysis of various intelligent techniques is carried…
Read MoreQ-Learning versus SVM Study for Green Context-Aware Multimodal ITS Stations
Intelligent Transportation Systems (ITS) applications can take big advantage of Context Awareness approaches. Parameters such as user mobility, passengers comfort reaction and pollution emission levels (CO2) can enrich such applications during the decision making phase. Moreover, the expanding in ITS services offers great opportunities for travelers to find the best route to reach their destinations…
Read MoreDeveloping Students’ Motivation for Learning through Practical Problems in School
This paper is an extension of work originally presented in the 19th International Conference on Computer Supported Education and Information Technology. This paper identifies motivational factors that ensure the initiation and effective implementation of mathematical activity. These factors are in subordination to each other, forming a hierarchical dependence. At the heart of this hierarchy is…
Read MoreVirtual Output Queues Architecture for High Throughput Data Center Nodes
The latest design approach for Data Centers (DCs) follows the direction of exploiting optical switching to connect Top-of-Rack (ToR) switches that serve thousands of data storing and computing devices. A ToR’s usual function is the Virtual Output Queues (VOQs), which is the prevalent solution for the head-of-line blocking problem of the DC switches. An effective…
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