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Keyword: LEDIoT: Their Conveniences, Security Challenges and Possible Solutions
The build-in internet-controlled functions of smart devices such as smart phone, smart television, home healthcare gadget, etc., have made them quite attractive to many segments of consumers. In recent years mankind has witnessed an upsurge usage of such devices for numerous purposes. In this paper, the author is going to show how previously forecasted security…
Read MoreFault-Tolerant in Embedded Systems (MPSoC): Performance Estimation and Dynamic Migration Task
Multiprocessor Systems-on-Chip (MPSoC) allow the implementation of heterogeneous architectures with a high integration capacity. In recent years, computational requirements MPSoC are increasing exponentially. This complexity, coupled with constantly evolving specifications, has forced designers to consider intrinsically flexible implementations. Deploying applications typical of multimedia domains is difficult, not only due to the heterogeneous parallelism in the…
Read MoreOptimal Rotor Design of Line Start Permanent Magnet Synchronous Motor by Genetic Algorithm
Line start permanent magnet synchronous motor (LSPMSM) is one of the highest efficiency motors due to no rotor copper loss at synchronous speed and self-starting. LSPMSM has torque characteristics of both induction motor IM and Permanent Magnet Synchronous Motor-PMSM. Using Genetic Algorithm (GA) for balancing magnetic cost and for copper loss minimization, the magnetic sizes…
Read MoreEMI Shielding Performance For Varies Frequency by Metal Plating on Mold Compound
Conformal metalization on mold compound offers new possibility for IC package design to improve features such as rigidization of the flexible core, heat sink capability, 3D-circuit patterning and the electromagnetic interference (EMI) shielding. With the unique processes, the fabrication technology had enabled to achieve the high reliable performance and had passed the electrical test. Following…
Read MoreApplied Horizontal and Vertical Geothermal Heat Exchanger with Heat Pump System to Provide Air Conditioning for an Academic Facility in Mexico
At present in Mexico, the renewable energy has become more important due to the great dependence of the country for fossil fuels. Within the several applications of renewable energy, there are the geothermal applications for the air conditioning of spaces. This technology employs heat pumps that interexchange heat with the ground. This technology is relatively…
Read MoreDeterministic Approach to Detect Heart Sound Irregularities
A new method to detect heart sound that does not require machine learning is proposed. The heart sound is a time series event which is generated by the heart mechanical system. From the analysis of heart sound S-transform and the understanding of how heart works, it can be deducted that each heart sound component has…
Read MoreSpectral Reflectance Estimation and Color Reproduction Based on Sparse Neugebauer Model
This paper proposes a method for estimating the spectral reflectance of Neugebauer primaries or eight basic colors when the spectral reflectance data of several colors are given. The proposed method is based on Neugebauer model, which expresses an arbitrary color as a weighted average of Neugebauer primaries, and its sparse version called sparse Neugebauer model.…
Read MoreEffect of Ambient Temperature Variations on Particle Dimesions in Ultrasonic Nebulizers during Cold Vaporization
For human comfort and convenience, appropriate temperature values may not be sufficient enough for the environment that they live in. The moisture content of the air has an important place in this regard. 30% to 65% humidity is desireable for a relaxed and comfortable life. Humidity in the environment is fundamental for the human health,…
Read MoreMathematical Modeling and Digital Control of A Hybrid Switching Buck Converter
The aim of this paper is to describe mathematical modeling and digital control of a hybrid switching buck converter. This converter belongs to a class of so called hybrid switching converters and contains a resonant capacitor, resonant inductor and a diode in addition to original buck converter components. The dc gain of this converter is…
Read MoreProgram with Ixquic
The goal of this paper is to explain the story telling, game design, game play and how is the interaction with the game Program with Ixquic. Here is the description about the new approach to this video game I called Program with Ixquic. Initially focused on an educational video game but now is a hybrid,…
Read MoreThe Analysis and Comparison of Multiport Converter used for Renewable Energy Sources
The concept of renewable energy is increasing day by day because the electrical applications are moving towards utilization of renewable sources and due to this factor electric power is also gaining ground and new type of converters are modelled in order to get high utilization of renewable sources. In this paper, two types of multiport…
Read MoreGrid Connected Hybrid Solar and Diesel Generator Set: A Cost Optimization with HOMER
Extensive increases in electricity cost added to the numerous power outages encountered in developing countries has led to the deployment of hybrid energy supplies that mainly ensure continuity of power supply while attempting a reduction of electricity generation cost. This paper, specifically deals with the cost optimization of electricity generation from a grid connected hybrid…
Read MoreA novel model for Time-Series Data Clustering Based on piecewise SVD and BIRCH for Stock Data Analysis on Hadoop Platform
With the rapid growth of financial markets, analyzers are paying more attention on predictions. Stock data are time series data, with huge amounts. Feasible solution for handling the increasing amount of data is to use a cluster for parallel processing, and Hadoop parallel computing platform is a typical representative. There are various statistical models for…
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 MoreAdapting Model Predictive Control for a PV Station and Evaluating two different MPPT Algorithms P&O and FLC
In this paper first discussion approach will stress out the integration of model predictive control in maximum power point tracking MPPT and as progressing a second approach identified as fuzzy logic controller FLC and perturb & Observe P&O algorithms are analyzed. All are interrelated to MPPT model for a photovoltaic module, PVM, to search for…
Read MoreGNSS Positioning in Non-line-of-Sight Context—a Survey for Technological Innovation
Reliable, available and accurate localization of people and vehicles is one crucial requirement for intelligent transportation systems (ITSs). This has led to a variety of technical approaches in recent years. Towards an exact positioning via Global Navigation Satellite Systems (GNSSs) the visibility of satellites is an important factor. In this paper, we review the literature…
Read MoreSystem Control Device Electronics Smart Home Using Neural Networks
The use of information technology is very useful for today’s life and the next, where the human facilitated in doing a variety of activities in the life day to day. By the development of the existing allows people no longer do a job with difficulty. For that, it takes a system safety home using system…
Read MoreModification of Symmetric Cryptography with Combining Affine Chiper and Caesar Chiper which Dynamic Nature in Matrix of Chiper Transposition by Applying Flow Pattern in the Planting Rice
Classical cryptography is a way of disguising the news done by the people when there was no computer. The goal is to protect information by way of encoding. This paper describes a modification of classical algorithms to make cryptanalis difficult to steal undisclosed messages. There are three types of classical algorithms that are combined affine…
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.…
Read MorePower requirements and battery life measurement for wireless transmission between two nodes in different mediums
One of the most important roles of the wireless sensor networks (WSN) is to avoid wiring costs, be self-sustainable and be able to function for several years. However, due to the slow progress in battery technology, power continues to be a limited resource in wireless sensor communication and electric energy storage remains to be an…
Read MoreThe Search for a Convergent Option to Deploy Smart Grids on IoT Scenario
Smart city projects are quickly evolving in several countries as a feasible solution to the urban organization to provide sustainable socioeconomic growth and solve problems that arise as the populations of these cities grow. In this sense, technology application plays an important role in enabling automation of processes, improving the citizen’s quality of life and…
Read MoreMulti-Domain Virtual Network Embedding with Coordinated Link Mapping
Network Virtualization, which allows the co-existence of various logical networks on shared physical infrastructure, has become popular in recent years. The optimal mapping of virtual resource to physical resource is a major issue in network virtualization. This problem, called virtual network embedding (VNE), has been well explored in the context of one physical domain, which…
Read MoreHomemade array of surface coils implementation for small animal magnetic resonance imaging
Small animal modeling is an exciting research field where human pathogenic frameworks can be replicated in a controlled environment. Accurate Imaging is in high demand when modeling abnormalities and, magnetic resonance imaging plays a vital role due to its demonstrated lowest intrusion when compared with other imaging methods. However, the required high-resolution yields low-quality images…
Read MoreModelization of cognition, activity and motivation as indicators for Interactive Learning Environment
In Interactive Learning Environment (ILE), the cognitive activity and behavior of learners are the center of the researchers’ concerns. The improvement of learning through combining these axes as a structure of indicators for well-designed learning environment, encloses the measurement of the educational activity as a part of the learning process. In this paper, we propose…
Read MoreSelf-Organizing Map based Feature Learning in Bio-Signal Processing
Feature extraction is playing a significant role in bio-signal processing. Feature identification and selection has two approaches. The standard method is engineering handcraft which is based on user experience and application area. While the other approach is feature learning that based on making the system identify and select the best features suit the application. The…
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