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Keyword: ValueDigestibility, Digestible and Metabolizable Energy of Earthworm Meal (Eisenia Foetida) Included in Two Levels in Guinea Pigs (Cavia Porcellus)
The increasing cost of fishmeal and soybean meal forces us to look for unconventional sources of protein to feed guinea pigs, being able to use earthworm meal Eisenia foetida (EF) with 60-80% high quality raw protein; for this, the contribution of digestible nutrients and metabolizable energy must be known to formulate rations. The objective is…
Read MoreGenerating a Blockchain Smart Contract Application Framework
Blockchain is a new generation technology that allows the central control mechanism or trusted authority to be removed, spreading the encrypted data across all participants in the network in a distributed database structure instead of central trust. The Smart Contract structure, which defines the rules and flow that allow the things we value to operate…
Read MoreImprovement of Desirable Thermophysical Properties of Soybean Oil for Metal Cutting Applications as a Cutting Fluid
Vegetable oils are often proved to be promising for industrial lubrication applications among which soybean oil found to be better due to its attractive and desirable thermo physical properties for machining compared to other vegetable oils. However, already it was established that influenced desirable thermophysical properties necessary for a vegetable oil through which better machining…
Read MoreEvolution of Privacy Preservation Models in Location-Based Services
Location-based services have become increasingly prevalent with the advancement in the positioning capabilities of smart devices and their emergence in social networking. In order to acquire a service, users must submit their identity, query interest and location details to service providers. Such information shared by users are accumulated continuously, stored and analyzed in order to…
Read MoreParameter Estimation on Two-Dimensional Advection-Dispersion Model of Biological Oxygen Demand in Facultative Waste Water Stabilization Pond: Case Study at Sewon Wastewater Treatment Facility
To build a precise mathematical model describing a natural phenomenon, parameter estimation is needed to achieve the best parameter value. In this paper, we have calculated the best parameter value for a two-dimensional advection-dispersion differential equation of the biological oxygen demand degradation process in a facultative wastewater stabilization pond. This research was conducted with case…
Read MoreLow Carbon Sustainable Building Material: Maximizing Slag Potentials for Improved Lime Mortar Mechanical Properties
Prior to the 19th century discovery of Portland Cement (PC), Lime Based Mortar remained popular due to its flexibility, permeability and more importantly, associated low carbon emissions. However, lime’s characteristic delayed setting/hardening time, low mechanical strength, poor internal cohesion and some volumetric changes have overshadowed significance of its outstanding features particularly, flexibility, and consequently put…
Read MoreLegal Regulation as Driver for Sustainable Development of Nigeria’s Solid Mineral Sector
The need to optimally explore Nigeria’s diverse mineral resource endowments via sustainable value chain practices has, in recent times, been the focus of the Nigerian government and relevant stakeholders. This development has amongst other things, been made a necessity since the decline in Nigeria’s crude oil export and earnings, as well as the increased effort…
Read MoreActigraph Analysis of Elderly Dementia Patients During Phototherapy Using Non-Linear Analysis
Dementia is one of the three primary diseases that increases the level of nursing care required for the elderly. Dementia can lead to an increased burden not only on those who have contracted it, but also their families and the surrounding environment; initiatives for preventing dementia and slowing the decline of cognitive function are expected…
Read MoreFace Recognition on Low Resolution Face Image With TBE-CNN Architecture
Face recognition in low resolution images has challenges in active research because face recognition is usually implemented in high resolution images (HR). In general, research leads to a combination of pre-processing and training models. Therefore, this study aims to classify low-resolution face images using a combination of pre-processing and deep learning. In addition, this study…
Read MoreSecuring Hybrid SDN-based Geographic Routing Protocol using a Distributed Trust Model
In this paper, the vulnerabilities and the security attacks against vehicular networks, SDN architecture and some security solutions for SDVN are studied. Secondly, a complete and improved version of the secure HSDN-GRA routing protocol based on a distributed trust model is proposed where public keys of the vehicles are managed in a distributed way. Besides,…
Read MoreThe Capacity Factor of Renewable Energy Power Plants During Electric Power Peak Times in Jeju Island
Jeju Island is the largest island of South Korea and has an independent electric supply system. The island has a special energy plan that realizes itself a carbon-free region by 2030. Wind and solar energy resources are considered as an important means. The introduction of weather-variable renewable energy generation sources into the electric power system…
Read MoreOn the Ensemble of Recurrent Neural Network for Air Pollution Forecasting: Issues and Challenges
Time-series is a sequence of observations that are taken sequentially over time. Modelling a system that generates a future value from past observations is considered as time-series forecasting system. Recurrent neural network is a machine learning method that is widely used in the prediction of future values. Due to variant improvements on recurrent neural networks,…
Read MoreUsing Metaheuristics-Based Methods to Provide Sustainable Market Solutions, Suitable to Consumer Needs
Nowadays the buildings sector is one of the key sectors to achieve sustainability, with the correspondent consumers, in particular, the household consumers, having the need to perform sustainable choices every day, regarding the appliances to be acquired from the market. This is not only due to government’s growing concerns about sustainability but also with the…
Read MoreTerritorial Sales Redesign Using Geotechnical Tools
In recent years there has been technological growth in the field of facility location, considering it as a significant factor to achieve greater competition among companies. The present work gives a methodological solution for a territorial redesign in a Mexican automotive parts distribution company with the support of Geotechnological tools like Geographic Information Systems (GIS)…
Read MoreMethodology for Assessing Synchronization Conditions in Telecommunication Devices
This paper represents analysis of principles providing maximally reliable delay estimation of signal synchronization devices in telecommunication. Clock synchronization schemes on the base of stochastic models, graph-analytic interpretation, analytical functional description and their parameters selection in case of real complex hindrance are analyzed. Dependences between dispersion of maximally reliable estimation of synchronization devices and signal…
Read MoreOptimization of Low Temperature Differential Stirling Engine Regenerator Design
Stirling engines working with relatively low temperature are attractive for the future, especially for applications like water pumping without concentration system and low temperature heat recovery. The present work is the continuation of a series of works on the optimization of this type of machines. The main objective of this paper is to investigate the…
Read MoreImplementing an AGV System to Transport Finished Goods to the Warehouse
This work describes a case study carried out in an automotive company. The main objective was to increase the productivity of the last workstation of an assembly line by implementing an AGV System to transport finished goods to the warehouse. A comprehensive analysis of Value Added and Non-Value Added activities were performed to understand the…
Read MoreAn Algorithm to Improve Data Accuracy of PMs Concentration Measured with IoT Devices
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…
Read MoreTransfer Learning and Fine Tuning in Breast Mammogram Abnormalities Classification on CBIS-DDSM Database
Breast cancer has an important incidence in women mortality worldwide. Currently, mam- mography is considered the gold standard for breast abnormalities screening examinations, since it aids in the early detection and diagnosis of the illness. However, both identification of mass lesions and its malignancy classification is a challenging problem for artificial intelligence. In this work,…
Read MoreLead Bioaccumulation in Root and Aerial Part of Natural and Cultivated Pastures in Highly Contaminated Soils in Central Andes of Peru
Lead concentration on surface soil (0-20 cm), root and aerial part of natural and cultivated pastures were evaluated, in the rainy season (March 2018), collected in 20 sites of a rural community located 20 km from the La Oroya metallurgical complex , which has been emitting to the environment particulate material with heavy metals since…
Read MoreNew Color Image Encryption for Medical Images Based on Three Dimensional Generalized Chaotic Cat Map and Combined Cellular Automata
Medical images are transmitted via the Internet or the hospital intranet which include many important information about the patient’s personal information. Medical image encryption is a technology that can effectively protect the information contained in these medical images. In this paper, we give a secure and trusty Combined Cellular Automata (CoCA) based medical image encryption…
Read MoreOntological and Epistemological Issues of Studying the Development of Uzbekistan in the Context of Globalization from the Point of View of the Paradigm of Civilizations
In this scientific work, the basic synergetic principles of the development of the paradigm of civilizations are substantiated, an assessment of the time boundaries within which civilizations exist, the features of their own path of development of Uzbek culture are revealed. It is especially drawn attention to the sociocultural codes of civilization, a combination of…
Read MoreProductify News Article Classification Model with Sagemaker
News companies have a need to automate and make the process of writing about popular and new events more effective. Current technologies involve robotic programs that fill in values in templates and website listeners that notify editors when changes are made so that the editor can read up on the source change on the actual…
Read MoreOptimization of the Stabilizer Bar by Using Total Scores Method
The stabilizer bar restricts the roll angle of the vehicle when the vehicle steers based on the load balance on both sides of the wheel. Usually, the bar is in the form of the symmetrical U-shaped with the diameter is circular or annular. In order to be able to calculate the diameter of the stabilizer…
Read MoreSkin Tissue Oxygen Saturation Prediction: A Comparison Study of Artificial Intelligence Techniques
Noninvasive measurement of skin tissue oxygen saturation, StO2, is of interest especially in the studies of wound healing and detection of vascular diseases. This work aims to compare Partial Least Square (PLS) regression, K-Nearest Neighbor (KNN) and Artificial Neural Network (ANN) technique in the prediction of StO2 using spectral data obtained from Monte Carlo simulations.…
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