In the present article, we introduce a foveation-based optimized embedded and its optimized version image coders thereafter called VOEFIC/MOEFIC and its related foveation wavelet visible difference predictor FWVDP coding quality metric. It advances a visually advanced foveal weighting mask that regulates the wavelet-based image spectrum before its encoding by the SPIHT encoder. It intends to…

The article is devoted to the formalization and development of the theory of sequential experimental design for optimal identification of dynamic objects. The algorithmic and technical support for a system of sequential D-optimal identification for a wide class of dynamic objects in real time is considered. This system is universal and can be used for…

Electrostatic suspension systems have great potential applications in contactless transportation objects since they allow many different materials to be suspended. The electrostatic suspension will be widely applied in practice if the system cost is inexpensive. This paper presents an electrostatic suspension system controlled by using pulse width modulation (PWM). The use of PWM in electrostatic…

Air pollution is responsible for increased morbidity and mortality due to respiratory problems mainly caused by long term exposure. Although the emissions of principal air pollutants are highly regulated, there is a lack of information about the real extent of personal exposure for an accurate health impact assessment. To tackle these challenges, local air pollution…

Concept of university higher education quality is linked to the relevance of an educational project that promotes institutional transformation to improve the comprehensive training of new professionals. In this context, the research objective is to determine the graduates satisfaction level, trained with curricula 1979, 1985 and 1995 who have more than 20 years of graduation…

Recurrent Neural Networks has been widely used by researchers in the domain of weather prediction. Weather Prediction is forecasting the atmosphere for the future. In this proposed paper, Deep LSTM networks has been implemented which is the variant of RNNs having additional memory block and gates making them capable of remembering long term dependencies. Fifteen…

It was analyzed certain information about cyberattacks in Latin America and methods to counteract the aggressions that affect services, data and infrastructure. The problem is the cyberattack on information networks where there is interdependence between processes, people and devices within public organizations with the negative consequence of denial of services. The objective is to propose…

Due to the attacks’ growth on sensitive databases by deploying advanced tools, beyond access control and authentication mechanisms, the database encryption remains a useful and effective way to ensure robust security of data stored within it. Any database encryption solution is based on a specific encryption model that determines how data is encrypted inside it.…

Wireless Body Area Network (WBAN) aims to monitor patient’s health remotely, by using mini medical sensors that are attached on the human body to collect important data via the wireless network. However, this type of communication is very vulnerable to various types of attacks, poses serious problems to the individual’s life who wears the nodes.…

This paper is an extension of work originally presented in 2019 International Conference on Automation, Computational and Technology Management (ICACTM). A micro-strip patch in-body designed antenna is constructed on pacemaker to monitor and control the pacemaker wirelessly. The antenna is intended for ISM (Industrial, Scientific, and Medical) band (2.4 GHz to 2.48 GHz). A perfect…

The paper discusses the features of the implementation and functioning of digital self-timed circuits. They have a naturally high tolerance to short-term single soft errors caused by various factors, such as nuclear particles, radiation, and others. Combinational self-timed circuits using dual-rail coding of signals are naturally immune to 91% of typical soft errors classified in…

Technological developments in the Internet and communications have created a vastly complex and dynamic context with diverse heterogeneous networks and fast growth of mobile devices and multimedia. As the Internet becomes the primary mode of communication for many organisations there is requirement to enhance quality of service (QoS) from heterogeneous systems and networks. Traditional networks…

In this paper, a Hybrid System introduced (HS), which consists of Solar Photo-Voltaic (PV) system and the Fuel Cell (FC) System as alternative source of electrical power. The HS is used to supply the required electricity to a Single-Phase load with the help of Pulse Width Modulation Voltage Source Inverter (PWM-VSI). The PV provide the…

In Peru, large volumes of chicken manure are produced, whose compost applied at normal levels improves the ryegrass yield and protein intake, to obtain organic products and contribute to animal, environmental and human health. To evaluate the biofortifying effect of Chicken Manure Compost (CMC) incorporated in (T1): 0, (T2): 10 and (T3): 20 t ha-1…

As an emergent technology in Internet of Things (IoT), the ultimate target of fog computing is to provide a widely distributed computational resources and data repository closer to the network edge providing heterogeneous systems both in terms of software and hardware. The fog system must have the capability to deal with huge number of resources…

The Braille language system or also known as the language for the blind people was created so that these people can understand the vocabulary words depending on the country in which they are located, this system is based on points in which the points raised or also known as the largest points depending on their…

Obstacles, both imagined and real, continue to hinder the wider adoption of Education 4.0 learning technologies although these technologies are available in the mainstream consumer market. At the same time, the boom in Industry 4.0 manufacturing has brought down the prices of these technological tools making them generally more affordable. A case in point is…

Productivity is increasing when less input was used in getting the same outcomes. Thus, the effectiveness of productive effort, especially in industry, as measured in terms of the rate of output per unit of input. As in derivative rubber industry which is producing the seal product for final assembly of Disc Drive. The function of…

In order to further improve the feature extraction performance of the convolutional neural networks, we focus on the selection and reorganization of key features and suspect that simple changes in the pooling layers can cause changes in the performance of neural networks. According to the conjecture, we design a funnel convolution module, which can filter…

Here the work approaches the detection of fruit maturity level. In addition, a gas sensor is proposed to obtain better sensitivity to know the level of ethylene gas released from matured fruit. Better sensitivity can be achieved by obtaining an enhanced active area, changing the intermediate layer thickness and the pitch value of the electrode.…

A framework is an amalgamation of integrated tools, libraries, utilities and its coordination to interact with the other automation components. The motive of designing a test automation framework is to implement uniform standards towards automation throughout the organization to achieve the desired outcomes. Test automation framework is required to maintain the standardization of the activities…

In high voltage engineering, air is the one insulation gas that can ionized cause by electrical discharge. Air consisted of many gases such as O2, N2, CO2, H2, etc. In order to study the characteristic of the insulation gas, we can apply density functional theory (DFT) to determine gas ionization level such as charge distribution…

This paper proposes an algorithm aimed at quantifying the expression of KI-67 protein in digital images of breast biopsy tissue samples obtained through an optical microscope. The algorithm allows to obtain a report on the quantity of non-proliferating and proliferating cells through the detection and quantification of KI-67. The sample analysis via software aims to…

This study presents a root cause analysis of biometric vulnerabilities and provides a comprehensive typology of metadata in biometric adaptation. Although they are more reliable and secure than traditional authentication methods, biometric techniques are subject to vulnerabilities that pose challenges. Faced with the proliferation of cases of identity theft and fraud, biometrics is increasingly used…

In the domain of business process management, the configurable process model is widely used to optimize time and cost of business process models design, which is known as the concept of “reuse”. Using process mining techniques for process model discovery helps to provide a better view on processes and improve quality of models. The majority…