bluuebunny/crossref_metadata_2025 huggingface dataset:
Object Following Design for a Mobile Robot using Neural Network
Authors: Larasati Neta , Dewi Tresna , Oktarina Yurni
Published: October 2018

Deciding the best method for robot navigation is the most important tasks in mobile robot design, defined as the robot's ability to reach the target or/and move around its environment safely using the installed sensors and/or predefined map. To achieve this objective, wall or object detection can be considered. It is common to derive kinematics and dynamics to design the controls system of the robot, however by giving intelligence system to the robot, the control system will provide better performance for robot navigation. One of the most applied artificial intelligence is neural networks, a good approach for sensors of mobile robot system that is difficult to be modeled with an accurate mathematical equations. Mostly discussed basic navigation of a mobile robot is wall following. Wall following robot has been used for many application not only in industrial as a transport robot but also in domestic or hospital. Two behaviors are designed in this paper, wall following and object following. Object following behavior is developed from wall following by utilizing data from 4 installed distance sensors. The leader robot as the target for the follower robot, therefore the follower robot will keep on trying reaching for the leader in a safe distance. The novelty of this research is in the sense of the simplicity of proposed method. The feasibility of our proposed design is proven by simulation where all the results shows the effectiveness of the proposed method.
Least Significant Braille Method in Steganography Using Digital Image Media For Security Message
Authors: Mulya Megah , Sugiwa Zikry
Published: October 2018

Confidentiality of the message or the information is the most important and essential. It is very influential on the party who has the valuable message when they want to exchange messages on others. To keep the message is not known to others, the necessary security on the message. Steganography is one technique for providing security to the message. Steganography is a technique to hide messages in a medium, such as pictures, sounds, and video. Steganographic technique used in this study is the Least Significant Braille (LSBraille). This technique makes use of human vision in the message on the bit value was not significant. This study focuses on how much resistance level stego image to various image processes and measure results accuracy Peak Signal to Noise Ratio (PSNR). From the result of the insertion of a secret message, that the level of resistance stego image is not resistant to digital image processing. The result of the calculation of PSNR value obtained from experiments on all data samples between 51-73 dB
Towards Racing Gamification with Natural Interface for post stroke Rehabilitation
Authors: Basori Ahmad Hoirul , Almagrabi Alaa Omran
Published: October 2018

Stroke patient basically suffer from limited movement, they cannot control their balance very well, therefore the therapy that involve repetitive motion, harmonization and stability workout should be applied to them. The invention of Kinect has lead people to applied this device as a tool for recovering patient from stroke because its capability on tracking the skeletal of human body. Racing Game is very popular among the adults, elderly and even kids, the rule itâ€™s quite simple and understandable. The combination between the racing game and natural interface will lead to innovative application which is potential to be used as home therapy for post stroke patient. User will be required to move some parts of their body such as both hand, arm, head and even shoulder. The body tracking is provided by depth camera that can capture and interpret human body gesture recognition to be used as interaction command. The human skeleton will be displayed onto screen to control the car in the game and the result of racing will be synchronized with user excitement which is recorded through Kinect video.
Priority based computation: "An Initial study result of paradigm shift on real time computation"
Authors: Sukemi Sukemi , Riyanto Riyanto
Published: October 2018

This research is purposed to increase computer function into a time driven to support real time system. This purposed would the processor can work according to determined time variable and can work optimally in a certained deadline. The first approachment to design some of processor that has a different bit space 64, 32, 16 and 8 bits. Each processor will be separated by selector/arbiter priority of a task. In addition, the design of the above processors are designed as a counter with varying levels of accuracy (variable precision computing). The selection is also done by using statistical control in the task are observed by the appearance of controller mounted on the front of the architecture bit space the second approach above. The last approach to â€˜addâ€™ certainty in the form of interval arithmetic precision cutting task that can be the upper bound and lower bound of the area (bounds).

These four approachment can be structured orthogonally into a processor/several processors by introducing a new classifier that serves as a selector or a task arbiter. The results of the four approaches to prove that the processor is prepared by incorporating a variable bitspace adder selectors can provide optimality of 0.43%.
Always Best Connected Mobile Sensor Network to Support High Accuracy Internet of Farming
Authors: Alahmadi Ahmed H.
Published: October 2018

The Internet of Farming be dependent on data gathered from sensor of Wireless Sensor Network (WSN). The WSN requires a reliable connectivity to provide accurate prediction data of the farming system. This paper introduces a mechanism that gives always best connectivity (ABC). The mechanism considers all stakeholders (mobile node, corresponding node and users) attributes. An empirical simulation shows that the proposed mechanism provides an acceptable ABC to the mobile sensors in the WSN.
Assistive Robotic Technology: A Review
Authors: Prabuwono Anton Satria , Allehaibi Khalid Hammed S. , Kurnianingsih Kurnianingsih
Published: October 2018

Older people with chronic conditions even lead to some disabilities face many challenges in performing daily life. Assistive robot is considered as a tool to provide companionship and assist daily life of older people and disabled people. This paper presents a review of assistive robotic technology, particularly for older people and disabled people. The result of this review constitutes a step towards the development of assistive robots capable of helping some problems of older people and disabled people. Hence, they may remain in at home and live independently.
Comparative classification of student's academic failure through Social Network Mining and Hierarchical Clustering
Authors: Mansur Andi Besse Firdausiah , Yusof Norazah
Published: October 2018

Student academic failure are caused by several factors such as: family relationship, study time, absence, parent education, travel time and etc. This study observe several factors which are related to student academic failure by calculating the centrality degree between students to find the correlation between failure factors for each students. Furthermore, each student will be measured by measuring the geodesic distance for each factors for hierarchical clustering. The flow betwenness measure and hierarchical clustering show the promising result, where students who has similar factors value are tends to be grouped together in the same cluster. The student with high value of flow betwenness is considered as broker of network and play vital character inside network. The result of study is believed can bring important and useful information toward the student performance analysis for future better education.
Text Mining for Internship Titles Clustering Using Shared Nearest Neighbor
Authors: Zahrotun Lisna
Published: October 2018

An Internship course becomes one of many compulsory subjects in Under graduate Program of Informatics Engineering in Ahmad Dahlan University, Yogyakarta.In the last few semesters, we found that some students were failed in taking this subject. After being identified, they were facing some obstacles such as determining the main theme for their job description. During this study, we proposed an application to classify the internship titles by using a technique in text mining called Shared Nearest-Neighbor and Cosine Similarity. From the result, we got values from the parameter K is 7, the epsilon value is 0.5, and the value of Mint t is 0.3 with 22 clusters and 0 outlier. These values presented that all data titles of internship activitiesareclassified into each cluster. 7 topics whichtook by majority of students are:1) Information Systems (7 titles);2) Instructional Media (5 titles);3)Archiving Applications (4 titles);4) Web Profile Implementation (3 titles); 5)Instructional Media for University Courses (3 titles); Multimedia (3 titles) and 6)Workshop & Training (3 titles).
Arabic Translation Web Services: An Implementation Survey Towards Arabic Language Grid
Authors: Bramantoro Arif
Published: October 2018

This research proposes the development of Arabic language service. It is a servlet-based Webservice which provides a translation from English into Arabic, using techniques to develop Webservices such as Restful and API in Java language. This API is part of Language Grid, aproject in Japan to collect, share and combine as many language resources as possible bywrapping the language resources as web services, which is also known as Everything as a Service(XaaS) technology. By having Arabic language services connected in the Language Grid, therewill be a wider use of Arabic language resource in the world. An evaluation of running theservice is provided to enhance the performance and reliability of the service.
Implementation Color Filtering and Harris Corner Method on Pattern Recognition System
Authors: Zarkasi Ahmad , Sutarno Sutarno , Ubaya Huda , Fajar Muhammad
Published: October 2018

Color recognition and angle detection of underwater objects can be done with the help of underwater robots (ROV) with image processing applications. The processing of the object's image is recognizing various shapes and colors of objects in the water. In this research, the color filtering and Harris corner method will be designed, studied, tested and implemented. The color filtering method is used to recognize object color patterns, while the Harris Corner method is used to detect angles of underwater objects. Then classify images to get data on environmental pattern recognition. The color patterns tested include red, green, yellow and blue. the results obtained are all color patterns can be recognized well. while the shape of the object being tested includes cubes, triangles, rectangles, pentagons, and hexagons. the results of testing some of the shapes can be detected with a good angle and others still have errors. This is because testing the form of objects is done in various positions, such as from the front, right, left, up and below.Â
Design of a Bimodal Home Automation System using ESP8266 and ATMEGA328 Microcontroller
Authors: Zakariyya Sikiru Olayinka , Salami A.F. , Alabi O.O. , Usman A.M.
Published: October 2018

Home automation systems are garnering increasing popularity and widespread use due to the relative ease of domestic management and comparatively high return on technology investment tied to its adoption. However, Nigeria and other emerging ICT economies are yet to fully actualize and maximize the inherent potential of these smart home technologies due to endemic challenges associated with poor infrastructure, erratic power supply and unreliable Internet connectivity. These challenges necessitate an innovative paradigmatic shift that could provide a pragmatic technological solution suitable to the context of Nigeria and other developing climes. For most smart home systems in this research context, the status quo is based on choosing whether the design would be for short- or long-range communication network. Short-range designs which are usually realized with Bluetooth technology suffer from limited range issues while poor connectivity, bandwidth and latency issues are some of the problems plaguing Wi-Fi-based long-range designs. Consequently, this research presents a hybrid adaptive architecture that combines desirable features of both short- and long-range modes. The proposed smart home system is based on using embedded systems which use mobile application to send messages to ESP8266 Wi-Fi module. Together with notifications received from the monitoring unit, these messages are parsed by Arduino's ATMEGA328 microcontroller from where instruction codes are sent for controlling the load by switching ON or OFF various relays connected to the load.
Swarm Robot Implementation in Gas Searching Using Particle Swarm Optimization Algorithm
Authors: Husni Nyayu Latifah , Silvia Ade , Nurmaini Siti , Yuridho Falah , Yani Irsyadi
Published: October 2018

In this reseach, a PSO method is impelemented in searching a gas leakage. A swarm robot consisted of 3 agents, yelow, blue, and green, was used. The research was done in 2 type of experiments, i.e. in simulation and real expeiment. A Matlab is used as a simulation validation while for the real experiment, a 2 x 2 m arena is used. From the experiment, it can be concluded that a good performance of a swam can be achieved using PSO method.
Faces and eyes Detection in Digital Images Using Cascade Classifiers
Authors: Ali Mezher Alhamzawi Hussein
Published: October 2018

In this Article we present a way to implementation and detect the face and eyes  on digital image, based on Haar-like features extraction and cascade classifier, these techniques used in 100 % and 92% for faces and eyes detection respectively for the best all cases using low processing time , we used cheap equipment in our work (Acer TravelMate web camera ) . OpenCV library(computer vision library) and Python language used in this work.
Improving Data Integrity of Individual-based Bibliographic Repository Using Clustering Techniques
Authors: Firdaus Firdaus , Budiyarti Oky , Anshori Muhammad , Afrina Mira , Nurmaini Siti
Published: October 2018

This paper presents a method to improve data integrity of individual-based bibliographic repository. Integrity improvement is done by comparing individual-based publication raw data with individual-based clustered publication data. Hierarchical Agglomerative Clustering is used to cluster the publication data with similar author names. Clustering is done by two steps of clustering. The first clustering is based on the co-author relationship and the second is by title similarity and year difference. The two-step hierarchical clustering technique for name disambiguation has been applied to Universitas Sriwijaya Publication Data Center with good accuracy.
A new method to improve feature selection with meta-heuristic algorithm and chaos theory
Authors: Javidi Mohammad Masoud , Emami Nasibeh
Published: October 2018

Finding a subset of features from a large data set is a problem that arises in many fields of study. It is important to have an effective subset of features that is selected for the system to provide acceptable performance. This will lead us in a direction that to use meta-heuristic algorithms to find the optimal subset of features. The performance of evolutionary algorithms is dependent on many parameters which have significant impact on its performance, and these algorithms usually use a random process to set parameters. The nature of chaos is apparently random and unpredictable; however it also deterministic, it can suitable alternative instead of random process in meta-heuristic algorithms
Some Physical and Computational Features of Unloaded Power Transmission Lines' Switching-off Process
Authors: Lazimov Tahir , Saafan Esam Ali , Sadigov Asif
Published: October 2018

The paper presents results of research some physical and computational features of unloaded power transmission lines switching-offs. It was stated that there are not monotonous dependence between magnitudes of transitional voltages at switching-off high voltage aerial lines and their lengths. There was studied influence of the circuit-breaker type (SF6 or vacuum ones) on transitional voltages. Features of use the ordinary differential equations' solvers at computer simulation from the point of view stability of solutions and simulation time consuming were investigated in the presented research.
BLOB Analysis for Fruit Recognition and Detection
Authors: Yusuf Muhammad Dede , Kusumanto RD , Oktarina Yurni , Dewi Tresna , Risma Pola
Published: October 2018

Robot application in agriculture can ease the farming process, especially as the harvesting robot for seasonal fruit that is available in a short time. The addition of "eye" as the image sensor is an important feature for a harvesting robot. Thanks to the increment of technology, the camera is getting smaller with better performance, and lower prices. The cheap sensors and components make the creation of cheap and effective robot possible. Image processing is necessary for object detection, and open source software is available now for this purpose. This paper proposes BLOB analysis for object detection of 5 fruits with different shapes and colors. The simulation results show that the proposed method is effective for object detection regardless the shapes, colors, and noises.
Fuzzy Logic-Ant Colony Optimization for Explorer-Follower Robot with Global Optimal Path Planning
Authors: Tutuko Bambang , Nurmaini Siti , Ogi Ganesha
Published: October 2018

Path planning is an essential task for the mobile robot navigation. However, such a task is difficult to solve, due to the optimal path needs to be rerouted in real-time when a new obstacle appears. It produces a sub-optimal path and the robot can be trapped in local minima. To overcome the problem the Ant Colony Optimization (ACO) is combined with Fuzzy Logic Approach to make a globally optimal path. The Fuzzy-ACO algorithm is selected because the fuzzy logic has good performance in imprecision and uncertain environment and the ACO produce simple optimization with an ability to find the globally optimal path. Moreover, many optimization algorithms addressed only at the simulation level. In this research, the real experiment is conducted with the low-cost Explorer-Follower robot. The results show that the proposed algorithm, enables them to successfully identify the shortest path without collision and stack in â€œlocal minimaâ€.
A Distance-Reduction Trajectory Tracking Control Algorithm for a Rear-Steered AGV
Authors: Pamosoaji Anugrah K
Published: October 2018

This paper presents a Lyapunov-based switched trajectory tracking control design for a rear-steered automated guided AGV (AGV). Given a moving reference whose position and orientation have to be tracked by the AGV, the main objective of the controller is to reduce AGVâ€™s distance from the reference while adjusting its orientation. The distance reduction issue is important, especially in huge warehouses operating a group of AGVs, since the rate of AGV-to-reference distance reduction contributes to the possibility of AGV-to-AGV collision. A set of control algorithms is proposed to handle large AGVâ€™s orientation. Simulations that show the performance of the proposed method is presented.
Localization of Leader-Follower Robot Using Extended Kalman Filter
Authors: Nurmaini Siti , Pangidoan Sahat
Published: October 2018

Non-holonomic leader-follower robot must be capable to find its own position in order to be able to navigating autonomously in the environment this problem is known as localization. A common way to estimate the robot pose by using odometer. However, odometry measurement may cause inaccurate result due to the wheel slippage or other small noise sources. In this research, the Extended Kalman Filter (EKF) is proposed to minimize the error or the inaccuracy caused by the odometry measurement. The EKF algorithm works by fusing odometry and landmark information to produce a better estimation. A better estimation acknowledged whenever the estimated position lies close to the actual path, which represents a system without noise. Another experiment is conducted to observe the influence of numbers of landmark to the estimated position. The results show that the EKF technique is effective to estimate the leader pose and orientation pose with small error and the follower has the ability traverse close to leader based-on the actual path.
Detection of Vessel on UAV based on Segmentation Using Edge Based Dilation
Authors: Mursalim Muhammad Khaerul Naim , Falih Noor
Published: October 2018

UAV usually is used in military field for reconnaissance, surveillance, and assault. To detect a moving object in real-time like vessel, there are complex processes than to detect the object that does not moving. There are some issues that faced in detection process of moving object in UAV, called constraint uncertainty factor (UCF) such as environment, type of object, illumination, camera of UAV, and motion. One of the practical problems that become concern of researchers in the past few years is motion analysis. Motion of an object in each frame carries a lot of information about the pixels of moving objects which has an important role as the image descriptor. In this paper, we use SUED (Segmentation using edge-based dilation) algorithm to detect vessel. The concept of the SUED algorithm is combining the frame difference and segmentation process to obtain optimal results. This research showed that the SUED method having problem to detect the vessel even though we combine it with sobel operator. using the combination of wavelet and Sobel operator on the detection of edges obtained increasing in the number of DR about 3%, but then FAR also increased from 41.23% to 52.09%.
Quantitative Evaluation on Electric Motor Thermal Image for Comparison Hot Spot and Measuring Point Regions
Authors: Siti Nur Alam Wa Ode , Hay Sahabuddin , Jaya St Nawal
Published: October 2018

Inspection of the condition on industrial equipment becomes an urgent matter for industry. Infrared thermography inspection provides enormous benefits in preventive and predictive maintenance routines, especially for critical electrical equipment to prevent sudden damage to the equipment when the production process is underway, insofar that it impacts on the process. The result of inspection is in the form of thermal image which depicts the temperature of the electrical equipment. In general, thermal image evaluation is still analyzed manually by relying on visual reading by technicians. This would allow for errors in evaluating the image. Thus, this study used thermal images as the results of electric motor inspections, which are in hot spot and measuring point regions. Furthermore, this study aims to quantify the overheating resulted in electric motor by comparing those two regions using color entropy by Graphical User Interface (GUI) MATLAB. The study stages comprised of: zooming and object (region) cropping on color thermal image, color image histogram, calculating of color entropy (red, green, blue), and calculating of the color entropy average. The result of study on ten electric motor thermal images showed that the color entropy is higher in the measuring point region than the color entropy in the hot spot region. The average of color entropy in hot spot region were in the range of 2.9497 â€“ 3.9578 and measuring point region were in the range of 5.1182 â€“ 5.4489.
Study of Molecular Docking of Chalcone Analoque Compound as Inhibitors for Liver Cancer Cells HepG2
Authors: Frimayanti Neni , Mora Enda , Anugrah Rizki
Published: October 2018

Molecular docking study using chalcone analogue compounds with proteins target from modeling crystallographic structure of Tyrosine kinase enzymes with code 1T46 was carried out with the aid of a computer using the AutoDock Vina program. The aim this study to determine the activity of 5 chalcone analogue compounds obtained from previous studies and 3 chalcone analogues which were modified as inhibitors of liver cancer using 5-fluorouracil as a positive control. Based on the docking results, it has been carried out and shown those compounds 1, 2, and 3 have the potential as the active inhibitors againts HepG2 liver cancer with a successive affinity of -10.1 kcal/mol, -9.7 kcal/mol, and - 9.6 kcal/mol, respectively. For the modified chalcone analogue compounds, compound 8 has the best results with an affinity value of -8.3 kcal/mol and this compound also has six amino acid residues which are the same as 5-flourouracyl (i.e. positive control).
A Sensitive Quantification of Agmatine Using a Hybrid Electrode Based on Zinc oxide Nanoparticles
Authors: İncebay Hilal
Published: October 2018

An electrochemical sensor was prepared by modifiying a hybrid
of multi-walled carbon nanotubes (MWCNTs) and zinc oxide nanoparticles (ZnONPs)
to a glassy carbon (GC) electrode surface to accurately determine agmatine. The
ZnONPs+MWCNTs/GC electrode surface was characterized using scanning electron
microscopy and energy dispersive X-ray. Agmatine did not exhibit any peak on
the GC electrode surface but exhibited a large oxidation peak at 637.9 mV
on the MWCNT/GC electrode surface. Furthermore, it was observed that the
electrochemical behavior of agmatine was greatly improved on the
MWCNT+ZnONPs/GC electrode surface and that this surface exhibited a
well-defined higher current peak at 581.9 mV. The electrochemical
responses of agmatine on the MWCNT+ZnONPs/GC electrode surface were performed
using square wave voltammetry. A linear plot was obtained for the
current responses of agmatine against concentrations in the range of 0.1 µM–5.2 µM yielding a detection limit
of 4.13×10−6  M  (based on 3Sb/m). The accurate
quantification of agmatine makes the ZnONPs+MWCNTs/GC electrode system of great
interest for the
treatment of schizophrenia.
Low-voltage Fed Encoderless Motor Drive Devoted To Wheelchairs For A Sustainable Mobility
Authors: Lidozzi A. , Serrao V. , Solero L. , Crescimbini F. , Napoli A. Di
Published: October 2018

This paper reports the results achieved through the development of a prototype of electric wheelchair having direct-drive motors being housed within the wheel rims and designed to achieve performance as required for such a particular 24 V battery-operated vehicle application. The main levels of innovation of the realized prototype are described: the design and construction of two twin AFPM wheel-motor drives; the design and modeling of controllers together with the regulators tuning; the design and realization of the power conversion section; the development of a back- EMF-based method in conjunction with Hall-effect sensors to estimate rotor speed and position. Then, EMC characterization of the electric wheelchair is presented.
Sistema De Testes E De Geração De Relatórios Para Uso Em Linha De Produção De Fontes Chaveadas
Authors: Filho Faete Jacques Teixeira , Tatibana Gilberto Shimada , Pinto João Onofre Pereira
Published: October 2018

Este trabalho mostra um sistema de teste de fontes chaveadas de baixa potência, controlado por um software que processa as informações coletadas através de placa de aquisição de sinais, permitindo a geração de relatórios de teste e armazenamento de dados de forma confiável. O objetivo deste sistema é aumentar o volume de equipamentos testados na linha de produção, bem como proporcionar um controle eficiente dos resultados de teste pela automatização do processo, aumentando a confiabilidade dos resultados e permitindo um controle de qualidade mais efetivo. O sistema é composto por dois blocos fundamentais: o subsistema de potência e o subsistema de processamento de sinais. O subsistema de potência é composto por um circuito de variação de tensão de entrada e uma carga eletrônica. O subsistema de processamento de sinais é composto por uma placa de aquisição de dados, um software de controle, uma interface gráfica e um software de geração de relatório. O software foi desenvolvido no ambiente LabVIEW da National Instruments. Embora já exista produto similar no mercado, este produto foi desenvolvido visando o objetivo principal de baixo custo de implementação, conseguido pela customização do projeto, com qualidade comparável aos sistemas já existentes, o qual foi atingido.
Automation System Applied To A Plasma Inertization Plant
Authors: Guimarães Alexandre M. F. , De Medeiros Thiago Q. , Sousa Jader F. , Neto Jurandir de O. , De Morais Antônio H. F. , Salazar Andrés O. , Maitelli André L. , Dubut Jean P.
Published: October 2018

This article describes an automation system for a residues treatment plant based on thermal plasma. A compact PLC was used to activate several subsystems and to control the main reactor inner temperature using Fuzzy logic. A human-machine interface allows the monitoring of the variables and the activations of devices of the system remotely. An OPC communication is used to link the computer and the PLC.
Single-stage Charge-pump Voltage-source Electronic Ballast For A 70 W Hps Lamp
Authors: Dums José Flávio , Nascimento Claudinor Bitencourt , Perin Arnaldo José
Published: October 2018

In this paper a single-stage charge-pump voltage-source electronic ballast for a 70 W High Pressure Sodium [HPS] lamp is proposed. Although charge-pump ballasts have already been studied in fluorescent lamp applications, for HPS lamps this topology represents a new research topic. The proposed topology is a combination of a double charge-pump and a half-bridge inverter which share the same switches operating complementary. A microprocessor is used to generate the switching frequency, drive the ballast and to supervise and control the power at the lamp. The proposed ballast presents high power factor and energy efficiency, which is improved by the zero-voltage switching technique. Experimental results obtained on a 70 W high-pressure sodium lamp are discussed.
Filtro Ativo De Potência Para Compensação De Harmônicos De Tensão Em Sistemas De Distribuição Trifásicos A Quatro Fios
Authors: De Camargo Robinson Figueiredo , Gründling Hilton Abílio , Pinheiro Humberto
Published: October 2018

Este artigo propõe um filtro ativo de potência paralelo para redução de distorções harmônicas de tensão a níveis abaixo dos recomendados pela IEEE Std. 519-1992, causadas por ressonâncias entre capacitâncias e indutâncias presentes em sistemas de distribuição a quatro fios em baixa tensão. Além disso, este é capaz de diminuir a corrente de neutro causada pela presença de cargas não-lineares no sistema. É apresentada uma análise detalhada do modelo discreto e normalizado FAPP visando sua implementação em DSPs. Ainda, são propostos a extensão do método de detecção de tensão e do controlador de corrente de tempo mínimo aplicado a sistemas a quatro fios. Finalmente, são apresentados resultados experimentais, a fim de avaliar o desempenho em termos da compensação de harmônicos de tensão no PCC e da corrente de neutro, do FAPP, o qual tem capacidade de operar em 20 kVA.
Ac Drive Systems Using Reduced Four-leg Converter Supplying Independently Two Induction Machines
Authors: Dos Santos Jr. Euzeli C. , Jacobina Cursino B. , Correa Maurício B. R.
Published: October 2018

This paper presents six reduced switch count ac drive systems. These configurations have been conceived to operate with a four-phase and a three-phase or with a four-phase and a two-phase induction machines in a series-connected scheme. The overall control of the drive system is presented, including the pulse width modulation techniques. The proposed two-motor drive systems are seen as a potentially feasible industrial solution for applications that demand one high-power and one low-power machine. Experimental results are presented.
REPRESENTATION OF CORPORATE SOCIAL RESPONSIBILITY IN TURKISH NEWSPAPERS
Authors: TOKER Huriye , TAT Merba
Published: October 2018

The
new world order which companies and any kind of organizations face today need
both well informed audience, initiative taker companies through corporate
social responsibility projects and programmes, and ambitious media who create a
healthy public sphere with their news content on corporate social
responsibility (CSR). Corporate social responsibility is among the topics which
receive media attention in the last two decades. However the raising media
interest is the statistical finding, it is quite difficult to differentiate the
percentage of qenuine news coverage by the journalists or the news or
advertorials which refer to the brand PR or corporate advertising. The aim of
this study is to monitor the Turkish media and its CSR coverage. The intention
is to analyse the CSR related news content of Turkish press and make some
comparisons and generalizations about representation of the CSR in the news
articles. We conducted qualitative and quantitative content analysis of the
2015 news coverage of leading mainstream Turkish newspaper, namely Hürriyet.
AN INVESTIGATION INTO UTILIZATION, BELIEFS AND PRACTICE OF INDIGENOUS MEDICINE IN SRI LANKA
Authors: Padmasiri G. R.
Published: October 2018

Background: Most countries pose their own indigenous knowledge systems. Native knowledge on indigenous

medicine is one of the knowledge systems widely used in many countries in Asia and Africa. In some countries, 80% of

the population depend on indigenous medicine for primary health care. Sri Lanka is an island enriched with a wellestablished

indigenous medical system.

Materials and Methods: The objectives of the study were to identify characteristics, usage patterns, and perceptions of

communities concerning indigenous medicine. Beneficiaries of indigenous medicine were selected through purposive

sampling for this study. The data were collected through a documentary survey and interviews.

Results: The study identified that the indigenous medical system of the country is called ‘DeshiyaChikitsa,’ ‘Sinhala

Vedakama,’ or ‘Hela Vedakama,’ which encompass ritual healing practices, astrology, religious observances, and

spiritual powers. Different approaches of people including the use of domestic medicine, obtaining the assistance of

astrology, and rituals were identified. Regardless of age, level of education, or employment, communities trust

indigenous medicine as a primary or a secondary option on the health care system of the country. The survey identified

the growing demand for the indigenous medicine.

Conclusion: Around 60 to 70% of the rural population which is comprise 77.3% of total population relies on

indigenous medicine. Domestic medicine, astrology and rituals associated with indigenous medicine plays a vital role

in people’s health care process. Experts in indigenous medicine are scattered in the country.
SPASMOLYTIC, ANTI-INFLAMMATORY, AND ANTIOXIDANT ACTIVITY OF SALVIA GESNERIFLORA LINDLEY
Authors: Gómez-Rivera Abraham , González-Cortazar Manasés , Gallegos-García Ammy Joana , Escobar-Ramos Armando , Flores-Franco Gabriel , Lobato-García Carlos Ernesto
Published: October 2018

Background: Salvia gesneriflora Lindley is employed in traditional Mexican medicine for the treatment

of several diseases.

Materials and Methods: The chromatographic profile of three extracts (SgH, SgD and SgM) of this

plant allowed the identification of 11 components in SgH, the presence of rosmarinic (1), chlorogenic (2)

and caffeic (3) acids and quercetin glucoside (4) in SgM and of ursolic acid (5) in SgD. The spasmolytic

(electrically induced contractions of guinea-pig ileum), anti-inflammatory (edema in mouse ear) and

antioxidant potential (DPPH, ABTS and FRAP assays) of the extracts were evaluated.

Results: SgM showed the highest percentage of relaxation (80.67 ± 1.633%) with no significant

difference (p
IN VITRO ANTIFUNGAL ACTIVITY AND CYTOTOXICITY SCREENING OF DRY CRUDE EXTRACTS FROM BRAZILIAN AMAZONIA PLANTS
Authors: Soares Mônica Regina Pereira Senra , Caneschi César Augusto , Chaves Maria das Graças Afonso Miranda , Mota Marcela , Stroppa Pedro Henrique Fazza , Barbosa Wagner , Raposo Nádia Rezende Barbosa
Published: October 2018

Background: Antifungal multidrug resistance has been reported worldwide and has stimulated investigations of plant

species for the treatment of candidiasis. In particular, in vitro antifungal activities and cytotoxicity of dry extracts from

Ceasalpinia ferrea (tul.) Martius, Brosimum acutifolium Huber, and Salacia impressifolia (Miers) A.C. Smith were

evaluated.

Materials and Methods: Minimum inhibitory concentrations (MIC) and minimum fungicide (MFC) values were

established according to the protocol M27-A2 of the Clinical and Laboratory Standards Institute (CLSI). Subsequent

evaluations were performed using strains of Candida albicans from the American Type Culture Collection (ATCC)

10231, clinical isolated Candida albicans, Candida glabrata (CCT) 0728, Candida krusei (FTI) CCT 1517, and

Candida guilliermondii (CCT) 1890. Morphological changes were evaluated using scanning electron microscopy

(SEM), and cytotoxicity was evaluated in murine L929 fibroblast cells after treatment with plant extracts.

Results: MIC values indicated antifungal potential of all three extracts against the main fungi that causes candidiasis.

Conclusion: In particular, C. ferrea showed promising antimicrobial potential against all strains. Hence, future studies

are warranted to investigate pharmacologically active compounds from this extract that could be used as prototypes for

drug development and/or as a source of raw pharmaceutical materials for the treatment of candidiasis.
ANTIHYPERTENSIVE ACTIVITY OF QUINOA (Chenopodium quinoa Willd.) PROTEIN HYDROLYSATES
Authors: Moreno-Limón Sergio , González-Luna Rodrigo
Published: October 2018

Background: Nowadays, there has been an increase in the number of studies focused on the search for bioactive

compounds produced by hydrolytic reactions from natural sources, such as the Quinoa grain, which represents an

interesting agro-alimentary source that can have a beneficial influence on health, specifically antihypertensive potential. For

this reason, the aim of the present study was to evaluate the antihypertensive activity of the protein hydrolysates obtained of

Quinoa, which results important at the time to consider the incorporation of such peptides in the design of functional foods.

Materials and Methods: Quinoa (Chenopodium quinoa Willd.) seeds were ground and the obtained flour was degreased

and the protein isolate was obtained by isoelectric precipitation. The protein isolate was enzymatically hydrolyzed with

Alcalase® and Flavourzyme® and the antihypertensive effect of peptides against angiotensin converting enzyme was

evaluate using a mixture of 50 μL of sample, 50 μL of ACE working solution, 200 μL of substrate working solution and the

fluorescence was determined with a microplate fluorometer following these characteristics: λ (excitation) = 355-375 nm; λ

(emission) = 400-430 nm.

Results: Peptides obtained using Alcalase® (protein content= 72.13%; DH= 31.22%) showed the highest inhibitory

activity against the angiotensin converting enzyme (ACE), close to 88%.

Conclusion: The Quinoa protein hydrolysates can be considered as a new agri-food source to be incorporated in the

elaboration of functional foods with antihypertensive potential.
ANTI-PROLIFERATIVE ACTIVITIES OF THE AQUEOUS ROOT EXTRACT OF DIANTHUS THUNBERGII SS HOOPER (CARYOPHYLLACEAE)
Authors: Akinrinde Akinleye , Venter Maryna Van de , Koekemoer Trevor , Bradley Graeme
Published: October 2018

Background: The roots of Dianthus thunbergii SS Hooper are used traditionally in South Africa for the treatment of

diabetes, wounds, colic, chest complaints and cancer. This study was aimed at investigating the potential anti-proliferative

activities of the D. thunbergii in mammalian cancer cell lines.

Materials and Methods: Aqueous and ethanol extracts of D. thunbergii were tested in vitro on two cancer cell lines:

human hepato-cellular carcinoma (HepG2) cells and murine insulinoma (INS-1) cells using the 3-(4,5-Dimethylthiazol-2-

yl) 2,5-diphenyltetrazolium bromide (MTT) and crystal violet cell viability assays, as well as live-cell fluorescence imaging

microscopy. A tentative profiling of the aqueous extract was also carried out using liquid chromatography-mass

spectrometry (LC-MS).

Results: The aqueous extract (50-200μg/ml) exhibited significant (p
ANTICANCER POTENTIAL OF PLANT EXTRACTS FROM RIYADH (SAUDI ARABIA) ON MDA-MB-231 BREAST CANCER CELLS
Authors: Nasr Fahd A. , Abutaha Nael , Al-Zahrani Mohammad , Farooq Muhammad , Wadaan Mohammad A
Published: October 2018

Background: Medicinal plants have been used in traditional medicine for the treatment of numerous diseases worldwide. There is a dire need for new anticancer agents and plants used in traditional medicine are a particularly useful source.

Materials and methods: In this study, extracts of five different plants that grow in the desert of Saudi Arabia were evaluated to assess their cytotoxicity against the MDA-MB-231 breast cancer cell line. Soxhlet extraction was carried out on the leaves and stems using different solvents. The cytotoxicity of these extracts against MDA-MB-231 breast cancer cells was assessed using the 3-(4, 5-dimethylthiazol-2-yl)-2, 5-diphenyltetrazolium bromide (MTT) and lactate dehydrogenase (LDH) assays. The apoptotic cellular morphological changes were observed using inverted and fluorescence microscopes.

Results: Our results showed that two of the five different medicinal plants (Rumex vesicarius and Malva parviflora) exhibited strong anticancer activity against the breast cancer cells. Specifically, 2 of the 40 extracts (from the five studied plants) showed promising activity. The chloroform extract of the stem of R. vesicarius (RSV CHCL3) exhibited moderate anticancer activity with a half-maximal inhibitory concentration (IC50) of 230 µg/mL while that of the hexane extract of M. parviflora stems (MPS Hex) was 248 µg/mL. Loss of cell integrity, shrinkage of the cytoplasm, and cell detachment were observed in the extract-treated MDA-MB-231 cells.

Conclusion: R. vesicarius and M. parviflora chloroform and n-hexane stem extracts showed significant cytotoxicity against MDA-MB-231 human breast carcinoma cells.
PLANT VEGETATIVE STAGES AND DRYING METHODS AFFECT THE FLAVONOID CONTENT OF CLINACANTHUS NUTANS EXTRACTS
Authors: Munirah M. , Ahmad S.H , Ghazali H.M , Mahmud T.M.M , Ketaren B.R , Shukor N.I.A , Tajidin N.E
Published: October 2018

Background: Clinacanthus nutans, also known as ‘Sabah snake grass’ or ‘Belalai gajah’, is a herb well known locally for its medicinal values. The primary chemical constituents of the leaves are schaftoside, vitexin, isovitexin, orientin and isoorientin, and antiviral activity is shown by two glycoglycerolipids. Despite the importance of C. nutans, complete information with respect to commercial production and postharvest handling of the herb in the local herbal industry is still lacking. Thus, the objective of this study was to determine the optimum postharvest handling processes that could retain the phytochemicals quality of C. nutans.

Materials and Methods: The flavonoid compounds of C. nutans were analysed by using ultra fast liquid chromatography (UFLC). Total phenolic content and antioxidant activity were determined using a spectrophotometer.

Results: The total phenolic compounds and antioxidant activity in C. nutans were found to be higher in the young vegetative stage than in the mature vegetative stage. Flavonoid compounds (schaftoside, isovitexin, vitexin and orientin) were also found to be highest in the young vegetative plant compared to the mature vegetative plant. All of the assayed phytochemicals and flavonoid compounds levels were found to be highest in oven dried samples compared to the sun, air and solar dried samples.

Conslusion: This study suggests that oven-drying young vegetative C. nutans plant material is the optimum method to retain postharvest quality.
HEPATOPROTECTIVE EFFECT OF CYMBOPOGON CITRATUS ESSENTIAL OILS AGAINST NEVIRAPINE-INDUCED HEPATIC DAMAGE IN WISTAR ALBINO RATS
Authors: Amujal Marion , Ikwap Kokas , Tamale Andrew , Tumwine Gabriel , Kateregga John , Wamala Samuel P. , Kato Charles D.
Published: October 2018

Background: The use of nevirapine in the management of Human Immunodeficiency Virus (HIV) infections is greatly

limited by its fatal hepatotoxicity. In sub-Saharan African, traditional medicine involving use of plant materials has been

proposed to counteract liver damage, albeit with no scientific evidence. The aim of the present study was to determine the

hepatoprotective effect of Cymbopogon citratus essential oils against nevirapine induced hepatic oxidative damage in

Wistar albino rats.

Materials and Methods: Five groups of rats received a daily oral dose of 36mg/kg nevirapine for 4 consecutive weeks.

After 15 minutes, rats in three of the groups were given 200mg/kg, 400mg/kg and 800mg/kg of Cymbopogon citratus

essential oil extract. The positive control group received nevirapine and 200mg/kg of silymarin while the normal control

group received only 2ml of distilled water. Blood was used to determine the levels of liver function parameters and liver

sections were used for histological studies.

Results: The results revealed that oral administration of nevirapine (36mg/kg b.w. p.o) for 4 weeks significantly (P
COPD and Comorbidities: Relating Mechanisms and Treatment
Authors: Stratev Velin , Dimitrova Valentina , Petkova Diana
Published: October 2018

Despite being a disease with the constantly rising social burden and mortality, COPD is
also associated with a number of other conditions known as comorbidities. COPD and other diseases
often share similar risk factors, such as smoking and aging, which leads to increased prevalence of
comorbidities. The key pathogenic mechanisms of COPD are chronic inflammation and oxidative
stress and they also contribute significantly to the development of accompanying diseases. Through
complex interactions, COPD increases the risk for certain comorbidities and they, in turn, have a
negative impact on health status and contribute to mortality in COPD patients. Proper treatment of
comorbidities may have a beneficial effect on COPD natural course and progression. Here we review
the prevalence of the most common comorbidities of COPD; their interrelating mechanism and the
current advances of the treatment in terms of co-existence.