2018: Volume 41, Number 1 2018: Volume 41, Number 2
C. Niculita:
Survey on knowledge representation approaches for natural language
processing
(pp. 5-12)
Abstract Full
Text
M. El-Amine Ouesse, A. Ciss Wade, G. Dieye, M. Sall, D. Diop:
Mineralogical Characterization of soil samples using
X-ray techniques (pp. 13-18)
Abstract Full
Text
E. Mogoş, L. Dumitriu: Survey regarding the communication between a human and a humanoid robot (pp. 19-24)
P. Chiranjeevi, V. Aswini , U. Supraja, V. Ganesh,
K. Jagadeesh Babu:
Design of a star shaped dielectric resonator antenna for 5G technology
(pp. 25-27)
Abstract Full
Text
O. Panait: Hardware implementation of a pipelined computational unit for N-body simulation (pp. 28-31)
C. Niculita: Survey on knowledge representation approaches for natural language processing
Abstract: In artificial intelligence, knowledge representation is one of the fundamental concepts, which aim to transpose the information about the world in a way that allows the computers to "understand" it. This article briefly describes the most important formalisms used for natural language representation, along with their specific ways of reasoning. We also present (make) a comparative study, analyzing the characteristics of these methods, highlighting their advantages and disadvantages.
Keywords: natural language, knowledge representation, first-order logic, description logic, frame systems, semantic networks, conceptual graphs
M. El-Amine Ouesse, A. Ciss Wade, G. Dieye, M. Sall, D. Diop: Mineralogical Characterization of soil samples using X-ray techniques
Abstract:
This article summarized some characteristics of clayey materials in samples
of Senegal such as Thies ENSA, Thies CERAAS, Ndakhar Mbaye and Nioro. Those
Four soil profiles situated at different agricultural zones were chosen and
soil samples were taken from top and sub-surface layers. The
Characterization of Soil samples was performed by different techniques such
as X-Ray Diffraction (XRD) and X-Ray Fluorescence (XRF). XRF showed the
chemical compositions (major and trace elements) where Al-oxide and silica
are present in major quantity. XRD revealed the following soil mineralogical
characteristics. The Anatase and Goethite were not detected in Nioro
samples. The former constituted the dominant mineral phase while the latter
was quantitatively insignificant. The Quartz appears to be more significant
in top layers whereas Kaolinite was more abundant in sub-surface layers.
This work aims to make a chemical and mineralogical characterizations of
soil samples. The idea is to correlate soil minerals composition and the
development and growth of crops.
Keywords: X-Ray Fluorescence, X-Ray Diffraction
E. Mogoş, L. Dumitriu: Survey regarding the communication between a human and a humanoid robot
Abstract: This paper presents the research on communication between a human and a humanoid robot. The humanoid robot is a robot that acts like a human. The first function of a humanoid robot is to fuse multi sensor data through an interface.The interface provides the environment where the data from the sensors is processed and transmitted to an avatar. The avatar uses the facial expression to expresss the emotion of a human and is sensible to human brain waves. The other robots uses both avatar and interface and can be remotely controlled by a human with no contact.
Keywords: humanoid robot, multi sensor data fusion, avatar, interface.
P. Chiranjeevi, V. Aswini , U. Supraja, V. Ganesh, K. Jagadeesh Babu: Design of a star shaped dielectric resonator antenna for 5G technology
Abstract:
In this paper, a star shaped Dielectric Resonator Antenna (DRA) is designed.
The proposed antenna system resonates at a dual band of 28.3GHz and
37 GHz at -10 dB return loss. The S-Parameters, VSWR (Voltage Standing Wave
Ratio), and radiation pattern of the proposed antenna are presented. The
proposed antenna covers most of the Ka-band (28 to 40 GHz) making it
suitable for 5G wireless communication applications.
Keywords: Dielectric Resonator Antenna, return loss, bandwidth, 5G wireless application
O. Panait: Hardware implementation of a pipelined computational unit for N-body simulation
Abstract: This paper presents a pipelined FPGA implementation of an engine that computes Newtonian gravitational forces. The module can be incorporated in a large-scale N-body simulation as the primary component used for computing the interaction between bodies. It uses 64-bit floating point arithmetic and relies on the speed provided by the “Fast Inverse Square” root algorithm. The design was implemented and tested on an Altera DE10-Lite FPGA.
Keywords: FPGA, pipeline, N-body simulation, floating point, reconfigurable platform
Table of Contents
V. Minzu:
Optimal Control with Bilocal Constraints Using Simulated Annealing Algorithm
A. Voinea, V.C. Vasilenco, R.A. Tudoran, A. Tănase
G.M. Timis,
L. Popa:
Climatic System for a Smart House
V. Minzu: Optimal Control with Bilocal
Constraints Using Simulated Annealing Algorithm
Abstract:
This paper is a study on implementing Simulated
Annealing (SA) to solve
an Optimal Control Problem (OCP) with bilocal constraints related to state
variables. The contribution is an implementation of
Simulated
Annealing Algorithm (SAA) which
is enriched with some practical aspects. The presentation of these aspects is
made through the agency of two case studies.
Keywords: optimal control problem, metaheuristic, Simulated Annealing, state variable, bilocal constraints.
A. Voinea, V.C. Vasilenco, R.A. Tudoran, A. Tănase
Abstract: This paper
presents an experiment in human emotion recognition based on voice analysis. The
audio signals generated by capturing the human voice with a microphone are input
into an audio processing system that creates image files containing the
spectrograms of the corresponding signals. Assuming that certain emotions
produce recognizable alterations of the spectral composition of the voice
signals, the respective spectrogram images were classified using a convolutional
neural network. The training data set consisted in 2407 recordings created by 24
actors displaying a palette of emotional states ranging from neutral, calm, to
happy, angry, scared, disgusted and surprised. The overall accuracy of the
recognition system was quite modest (around 20%), but the implementation based
on the open source TensorFlow library for machine learning is worth attention.
Keywords: emotion recognition, voice
processing, convolutional neural networks, machine learning, TensorFlow library
G.M. Timis,
L. Popa:
Climatic System for a Smart House
Abstract:
This
paper presents a didactic implementation of a climatic system for a smart house,
designed according to the principles of the Internet of Things (IoT). In this
smart home, certain devices are connected to the internet and are able to
transmit environmental data obtained by means of the attached sensors. Remote
users are allowed to view and analyze this data by accessing a web server, and
also they can activate actuators to control - for example - the lighting and
ventilation systems.
I. Susnea, O. Panait, C. Niculita, D. Munteanu: Machine Vision for Autonomous Vehicles - Potential and Limitations. A Literature Review
Abstract: This paper is a brief review of the recent literature regarding the applications of machine vision in autonomous vehicles. We emphasize the main achievements as well as some challenges and limitations of these technologies, and also propose a simple taxonomy of the research directions in this field. The main contribution of this work is to provide a quick introduction and a bird's eye view of the extremely vast literature on this topic, and to identify some useful resources for starters.
Keywords: Machine vision, autonomous vehicles, advanced driver assistance systems
G. Gurguiatu, C. D. Bălănuță, A. Dușa, E. M. Roșu, T. Munteanu: P-tool - A Software Application for Choosing the Topology for Active Power Filters
Abstract: Energy efficiency is an important dimension of the concept of sustainable development. In electricity, the energy efficiency is tightly connected with the power quality, which is function of harmonic composition, power factor, voltage stability and the balance of the 3 phases. Active power filters (APF) is a modern solution to improve the power quality. This paper presents an overview of the active and hybrid power filter topologies for various applications, and a software application called "P-tool", which is capable to recommend the APF topology to use in specific, user defined, conditions.
Keywords: Energy efficiency, Power quality, active power filter, topology, software application.