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Keyword: SEProposal for a Control System to Optimize Water use in Households in Peru
Water is an important vital resource, and must be protected and saved. Unfortunately, millions of liters of water are wasted annually at the national level in Peru, one of the factors is the discomfort when people take a hot shower, because first the water is cold, which is contained in the pipes of domestic connections…
Read MoreSupervised Machine Learning Based Medical Diagnosis Support System for Prediction of Patients with Heart Disease
Application in the field of medical development has always been one of the most important research areas. One of these medical applications is the early prediction system for heart diseases especially; coronary artery disease (CAD) also called atherosclerosis. The need for a medical diagnosis support system is to detect atherosclerosis at the earlier stages to…
Read MoreDifferential Evolution based Hyperparameters Tuned Deep Learning Models for Disease Diagnosis and Classification
With recent advancements in medical filed, the quantity of healthcare care data is increasing at a faster rate. Medical data classification is considered as a major research topic and numerous research works have been already existed in the literature. Presently, deep learning (DL) models offers an efficient method for developing a dedicated model to determine…
Read MoreAssessing Heutagogical Elements in Learning of Engineering Education: Instrument Validation
Practically level of design element (i.e., explore, sharing, connect) is an essential of heutagogical approach. The self-determined learning process can be at ease with the implementation of these elements, and the critical step is reliability to measure teaching and learning feedback. Although various instruments were proposed in the literature to assess heutagogy elements, the specific…
Read MoreFPGA Acceleration of Tree-based Learning Algorithms
Machine learning classifiers provide many promising solutions for data classification in different disciplines. However, data classification at run time is still a very challenging task for real-time applications. Acceleration of machine-learning hardware solutions is needed to meet the requirements of real-time applications. This paper proposes a new implementation of a machine learning classifier on Field…
Read MoreApplicability of Generalized Metropolis-Hastings Algorithm to Estimating Aggregate Functions in Wireless Sensor Networks
Over the last decades, numerous distributed consensus-based algorithms have found a wide application as a complementary mechanism for data aggregation in wireless sensor networks. In this paper, we provide an analysis of the generalized Metropolis-Hastings algorithm for data aggregation with a fully-distributed stopping criterion. The goal of the implemented stopping criterion is to effectively bound…
Read MoreA Review of RPL Objective Function based Enhancement Approaches
Since the release of of the IPv6 Routing protocol for Low-Power and Lossy Networks by the IETF ROLL working group, several enhancement schemes were proposed. In fact, They aim to extend the network lifetime, reduce congestion, mitigate end to end delay and moderate energy consumption. In fact, considering the vast area of Low-Power and Lossy…
Read MoreEvaluation of Disadvantaged Regions in East Java Based-on the 33 Indicators of the Ministry of Villages, Development of Disadvantaged Regions, and Transmigration Using the Ensemble ROCK (Robust Clustering Using Link) Method
East Java province is a large province in Indonesia, in which Surabaya is the second largest metropolitan city after Jakarta. Various problems of development inequality in East Java have caused East Java to be defined as a disadvantaged area in 2015. The determination of disadvantaged regions is carried out every 5 years using 6 criteria…
Read MoreDetailed Security Evaluation of ARANz, ARAN and AODV Protocols
Ad-Hoc networks are self-organized wireless networks. Finding a secure and efficient route leading from a specific source node to an intended destination node is one of the serious concerns in mobile Ad-Hoc networks. ARANz is one of the significant protocols that has been proposed for such networks. ARANz implements the authentication methods used with the…
Read MoreConvolutional Neural Network Based Classification of Patients with Pneumonia using X-ray Lung Images
Analysis and classification of lung diseases using X-ray images is a primary step in the procedure of pneumonia diagnosis, especially in a critical period as pandemic of COVID-19 that is type of pneumonia. Therefore, an automatic method with high accuracy of classification is needed to perform classification of lung diseases due to the increasing number…
Read MoreFour-Dimensional Sparse Data Structures for Representing Text Data
This paper focuses on a string encoding algorithm, which produces sparse distributed representations of text data. A characteristic feature of the algorithm described here, is that it works without tokenizing the text and can avoid other data preparation steps, such as stemming and lemmatization. The text can be of arbitrary size, whether it is a…
Read MoreSearch for New Potential Breast Cancer Inhibitors (MCF7) Based on Molecular Docking and Biological Assay of Pyrazoline Analogue Compounds
Cancer is the leading cause of death in world. Currently, there are no approved vaccines to avoid the spreading of this disease. Drug discovery have played important role for discover of new potent drugs that could efficiently and cost-effectively. Pyrazoline analogue compounds known to have good potency as anti-cancer. The aim of this study is…
Read MoreA User-Item Collaborative Filtering System to Predict Online Learning Outcome
Education has seen the rapid development of online learning. Many researchers have conducted studies on the use of recommendation systems in online learning. However, until now, several similar studies still focus on the accuracy of the prediction results. Various obstacles were encountered related to changes in the face to face learning process into online learning.…
Read MoreMethod of Modelling Prices for R&D Products in the Case of their Transfer from Engineering Universities to the Business
Global changes caused by the IV Industrial revolution and globalization processes resulted in a redistribution of roles of participants in innovative infrastructures of countries. Universities are leading both in terms of generating R&D products and in terms of developing business activities. Now there is a problem of insufficient methodological support of technological universities for pricing…
Read MoreLow Power Bulk Driven Series Parallel OTA for Low Frequency Applications
Low power OTAs are the most preferred circuits in the realization of continuous time filters of analog front end of wearable healthcare devices. A low transconductance OTA with series parallel current mirror to realize large time constant of the filter is designed. The differential pair of the OTA uses bulk driven PMOSFETs and the subthreshold…
Read MoreFast Stream Cipher based Chaos Neural Network for Data Security in CAN Bus
Vehicle systems are controlled by embedded electronic devices called electronic control units (ECUs). These ECUs are connected together with network protocols. The Controller Area Network (CAN) protocol is widely implemented due to its high fault tolerance. However, the CAN is a serial broadcast bus, and it has no protection against security threats. In this paper,…
Read MoreAnalysis of Security-Reliability Trade-off for Multi-hop Cognitive Relaying Protocol with TAS/SC Technique
This paper studies a trade-off between security (intercept probability (IP)) and reliability (outage probability (OP)) for a multi-hop decode-and-forward (DF) relaying protocol in an underlay cognitive radio network, in presence of a multi-antenna eavesdropper. In the considered protocol, all primary and secondary terminals are equipped with multiple antennas, and they employ transmit antenna selection (TAS)…
Read MoreA Smart Updater IT Governance Platform Based on Artificial Intelligence
This Information technology (IT) has a crucial role to improve business processes in companies. Getting the best technologies rapidly becomes as significant as understanding and developing the business plan of organizations. Thus, different IT best practices and norms are used by companies to help their services and IT business. These standards are set of best…
Read MoreCriteria to Implement a Supervision System in the Petroleum Industry: A Case Study in a Terminal Storage Facility
A liquid petroleum storage facility (Terminal), is a platform used to store petroleum products. Terminals plays a strategic role on the oil and gas supply chain. There are three types of terminals: a fully automated terminal, a partially automated terminal and a fully manual terminal. To increase their efficiency and safety in a very competitive…
Read MoreLearning the Influence between Partially Observable Processes using Scorebased Structure Learning
The difficulty of learning the underlying structure between processes is a common task found throughout the sciences, however not much work is dedicated towards this problem. In this paper, we attempt to use the language of structure learning to address learning the dynamic influence network between partially observable processes represented as dynamic Bayesian networks. The…
Read MoreCase Study to Determine the Causes of Fire in Agriculture
The aim of this paper is to identify a critical link in the man – machine – environment system in the case of an adverse event, such as a hay baling fire, based on a comprehensive risk assessment method. The rate of spread of fires in agriculture depends on meteorological conditions, with large areas affected…
Read MoreMitigating Congestion in Restructured Power System using FACTS Allocation by Sensitivity Factors and Parameter Optimized by GWO
In modern deregulated power industry, private sector has invested a lot to supply for extended power demand using the preexisting power system framework. This resulted into increased loading of transmission lines which has to work now to hit their thermal limits. The overloading of transmission line resulted in congestion and hence increase in loss of…
Read MoreEthics as a Motivation Indicator in Second Language Vocational Digital Teaching
The non-selective second language course at vocational colleges and universities makes teachers strive at fostering students’ motivation to learn by choosing from a variety of enhancing factors. Teacher’s personality and skills if they comply with pedagogical ethics are considered to be inspiring for students to learn. The aim of this piloting study was to collect…
Read MoreA Method for Detecting Human Presence and Movement Using Impulse Radar
Using non-invasive and non-contact sensors to measure a person’s presence or movement helps improve the quality of life for both healthy people and patients. In this paper, a method of measuring the presence and motion of a person is proposed by utilizing UWB Impulse Radar, which is low power consumption and safe to radiate to…
Read MoreAn Explanatory Review on Cybersecurity Capability Maturity Models
Cybersecurity is growing exponentially day by day in both the public and private sectors. This growth also comes with a new and dynamic cyber-threats risk that causes both sectors’ performance to halt. These sectors must update their cybersecurity measures and must understand the capability and maturity of their organization’s cybersecurity preparedness. Cybersecurity maturity models are…
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