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Logistics is a science and art that has been widely used by large commercial chains, whose main objectives focus on the distribution of products or services. This understanding has generated various logistics studies directed towards those businesses, without considering that science can also be applied to small or medium enterprises. The present study initially executes…

There have been disruptions in local and global food supply chains around the world due to the COVID-19 pandemic. It has led to rethink various aspects and to consider various trends in the food sector, encourage a more rapid transition and evolution to the Sustainable Supply Chain Management (SSCM), to counteract current problems and to…

Dynamic modeling has been a crucial study in many areas of the engineering field. In this paper, we apply the Newton-Euler equation of motion to a two-DOF parallel mechanism solar tracker which is a close loop mechanism. The aim of this study is to show a simulation of the dynamical model with feedback control using…

In this industry 4.0 and digital era, we are more dependent on the use of communication and various transaction such as financial, exchange of information by various means. These transaction needs to be secure. Differentiation between the use of benign and malware is one way to make these transactions secure. We propose in this work…

Solving equations does not require only to well master the techniques but also to well understand the different underlying concepts and processes. Many of the mistakes made by the students are often due to misinterpretation of the concepts taught, especially the use of letters which the main conceptual obstacle that students have to overcome. We…

Sustainability is considered new for Indonesian state-owned enterprises, also has become an obligation since two years ago. More and more people are aware of the environment for the next generation, the survival of mankind in the future. Sustainability issues are no exception in Indonesia. Companies publish sustainability reports as well as financial and annual reports.…

Visualization plays a crucial role in the exploratory analysis of Big Data. The direct visualization of Big Data is a challenging task and difficult to analyze. Dimensionality Reduction techniques extract the features in the context of visualization. Due to the unsupervised and non-parametric nature, most of the dimensionality reduction techniques are not evaluated quantitatively and…

One of the most critical challenges that large companies, small enterprises and research institutes face, when commercializing their innovations, is the transfer process at the moment of scaling up. These organizations often transfer their innovation to either existing business units or create a new business entirely. The process of transferring innovations to an existing unit…

Bull service is the natural copulation by a purebred male carabao with a female counterpart. This is part of the bull loan agenda of the Philippine Carabao Center-Visayas State University (PCC-VSU), one of the 12 regional centers of PCC. For the past years, PCC-VSU used averaging of bull services count of previous years and sometimes…

Immersive output and natural input are two core aspects of a virtual reality experience. Current systems are frequently operated by a controller or gesture-based approach. However, these techniques are either very accurate but require an effort to learn, or very natural but miss haptic feedback for optimal precision. We transfer ubiquitous touch interaction with haptic…

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…

The high flow of vessel traffic affects the difficulty of monitoring vessel in the middle of the sea because of limited human visibility, occurrence of vessel accidents at the sea and other illegal activities that illustrate abnormal vessel behavior such as oil bunkering, piracy, illegal fishing and other crimes that will continue and will certainly…

In our era, human and machine must share the same workspace in various plants such as warehouse logistics, material transportation, manufacturing factory or assisted human. The collaboration is essential to maintain the safe operation and the complete mission. In this paper, a design of anti-vibration scheme using Spline generator for grounded vehicle platform in human-machine…

A fuzzy system is a rule-based system that uses human experts’ knowledge to make a particular decision, while fuzzy modeling refers to the identification process of the fuzzy parameters. To generate the fuzzy parameters automatically, an optimization method is needed. One of the suitable methods provides the Firefly Algorithm (FA). FA is a nature-inspired algorithm…

Content Based Image Retrieval (CBIR) for remote sensing image data is a tedious process due to high resolution and complexity of image interpretation. Development of feature extraction technique is a major portion to represent the image content in an optimal way. In this paper, we propose a feature descriptor which combines the color coherent pixel…

Problem statement: In general, the water hyacinth is a biennial aquatic plant for many seasons with propagated quickly to become serious weeds in general water sources. The water hyacinth is caused carbon dioxide in the atmosphere as a greenhouse effect, which leads to climate change, the environmental concerns of the world today. The agricultural residue…

In recent years, deep learning has been widely used for time series prediction. Deep learning model that is most often used for time series prediction is LSTM. LSTM is widely used because of its excellence in remembering very long sequences. However, doing training on models that use LSTM requires a long time. Trying from one…

In this research work, we proposed a technique to decrease the complexity of 2-D Matrix Pencil (MP) for the direction of arrival (DOA) evaluation by combining two perpendicular arrays: The first one is the uniform linear array (ULA) and the second one is a uniform circular array (UCA). This special structure for the 2D Matrix…

This paper examines application of linear general model predictive control (LGMPC). The stability of the LGMPC is proven by means of a demonstration of a theorem stating a sufficient and constructive condition. Lower bounds conditions are found for one of these matrices and then a system with saturation is taken into consideration. The conditions can…

Research is dedicated to fuzzy reconstructions in the diachronic associative linguistics, and encompasses several simulation practices. The principles of an associative memory model and fuzzy computing with words are adopted in the working methodology. The evolved mathematical model reanimates the older patterns of Scottish associative map by means of fuzzy logic. The compiled fuzzy associative…

Plants are living organisms that can hear and recognize the environment around them but cannot communicate to inform their needs. Thus, in the past, humans thought that it was impossible to communicate with plants. However, in this modern era, humans can be able to communicate with these plants. In this paper, we propose a model…

The problem of recognizing traffic sign boards in a correct fashion is one of the major challenges since there is an alarming rate of increase in the number of road accidents happening because of incorrect interpretation of traffic sign boards in bad weather conditions. In this paper, a comparative analysis of various noise removal techniques…

Neurological signals are generally very weak in amplitude and strongly noisy. As a result, one of the major challenges in neuroscience is to be able to eliminate noise and thus exploit the maximum amount of information contained in neurological signals (EEG…). In this paper, we aimed at studying the N400 wave of the Event-Related Potentials…

Knowledge Based Systems play a very important role, within Healthcare, with a primary goal of supporting a high quality service at an optimal cost. A widely accepted knowledge acquisition technique is through the use of Business Rules in a natural language like format. As clinical terminology is centric to HealthCare, a large percentage of these…

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…