bluuebunny/crossref_metadata_2025 huggingface dataset:
Various Methodologies Available to Secure the Software Piracy and Discussion on a New Technique to Protect the Software
Authors:   UG .Final Year Student, Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, TamilNadu – India., Kumar Makam Radhakrishna Nandasai , Parthipan V ,   Assistant Professor, Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai.
Published: April 2020

Software piracy evaluated as a major problem faced from the IT industries. They need to protect their products ensuring that the user getting the trust on the Software and the working of it. Several researches are been going on until now to protect the software and reach that to the user effectively and work in their systems efficiently. In this paper, will help the IT industries to take over the problems faced by them regarding the software piracy and provide various studies on the piracy. Various techniques are used to protect the software, In this will provide the techniques which are present and been using now.
A Semi-Fragile Watermarking Scheme for Integrity Checking of Relational Databases
Authors:   Associate Professor, Department of Computer Applications, MES College Marampally, Ernakulam, Kerala, India., R* Murugan , Abraham John T ,   Assistant Professor in Computer Science, Bharata Mata College, Kochi, Kerala, India., Salim Ibrahim ,   Research Scholar, Research & Development Centre, Bharathiar University, Coimbatore, Tamilnadu, India and Assistant Professor, MES College Marampally, Ernakulam, Kerala, India.
Published: April 2020

Extensive use of the Internet coupled with tremendous growth in database applications have created a huge demand for database security. The concepts of e-governance, e-commerce, e-business, e-learning, and digital libraries are already in place and evolving across poles. This raises various concomitant threats such as illegal copying, illegal redistribution, tampering, forgery and authentication of copyrighted digital assets. Digital Watermarking is an effective technique which can be introduced for solving the above mentioned threats. Based on the detection of the Watermark, the ownership and the integrity of the data can be asserted. Database Watermarking techniques are generally classified into two: i.e., Robust or Fragile. Robust watermarking techniques are designed for copyright protection and fragile watermarking techniques are for authentication or integrity checking of data. Watermarking schemes for relational databases authentication are almost fragile in nature. These algorithms do not allow any legitimate modification of the data. In most of the cases, innocent distortions such as tuple and/or attribute sorting may be considered as tampering. In this paper, the research work proposes a novel semi-fragile watermarking technique for tamper detection of relational databases. The new semi-fragile scheme can detect and localize malicious modifications, while allowing authorized updates. Theoretical analysis and experimental results demonstrate that common database attacks can be detected with high rate of success.
Machine Learning Algorithms for Detection of Parkinson’s Disease using Motor Symptoms: Speech and Tremor
Authors:   Student, Information Technology, Saveetha Institue of Medical and Technical Sciences, Saveetha University, Chennai, India., Bala Neharika D , S Anusuya ,   Professor and Head, Information Technology, Saveetha Institue of Medical and Technical Sciences, Saveetha University, Chennai, India.
Published: April 2020

Generally, the diseases are classified into communicable and non-communicable. The communicable disease is that, which can be spread easily from humans to humans while non-communicable disease does not spread. In this paper, we discuss about Parkinson's disease and its analysis using machine learning algorithms. The analysis of data is done using supervised machine learning approach. This paper concentrates and briefs about various supervised learning algorithms and its analysis.
Design and Implementation of RFID Authentication Protocol based on Simple Symmetric Key (SSK) algorithm
Authors:   Department of Computer Engineering & Networks, Jazan University, KSA., Kuppuswamy Dr Prakash , M A Y Peer Mohamed Appa ,   Assistant Professor, Computer Science and Engineering Department in Francis Xavier Engineering College, Tamilnadu, India, Raju Dr Saravana ,   Department of Computer Science & Engineering in Jazan University, KSA
Published: April 2020

RFID uses radio frequency waves to transfer data using components such as tag, the reader and back-end server for device identification. Radio Frequency Identification technology (RFID) providing unique identification and tracking any device that has a tag attached to safeguard the products and protect from unauthorized users. There are many kinds of protocols to resolve these problems have been researched. Though, the security, cost, time and task of RFID are accountable to identify the feasible authentication protocol according to the business environment. In this research article, we proposed new authentication protocol as a method to protect privacy, especially for affordable cost and functionalities and have limited power consumption, memory and effective security process. The proposed protocol called as simple symmetric key (SSK) algorithm using random integers based on modulo 37. The proposed authentication protocol is secure against spoofing and replay attack and also it is suitable to support distributed database environment.
Detecting Predominance of on-Street Parking Payment Schemes by Means of Linear Regression
Authors:   Department of Computer Science Engineering Sri Padmavati Mahila Visvavidayalam Tirupati,India, Waheed Amtul , Krishna P.Venkata ,   Department of Computer Science Engineering Sri Padmavati Mahila Visvavidayalam Tirupati,India
Published: April 2020

On street parking is one of the important and crucial components of urban traffic and transportation system. Allocation of parking space on street is major reason for traffic congestion. Optimizing traffic congestion and facilitating on street parking is a long stand issue. According to urban environment it is expected that car drivers prefers parking space based on road conditions, speed limit and surrounding activities and availability of parking space. The other major components to be ponder while searching parking space is payment method used while parking the car. This paper investigates car driver’s behaviors in selecting parking payment schemas, visualized data as well predicted via machine learning technique of linear regression analysis on the open data set of On-street Car Parking Meters with Location of City of Melbourne's in the Australian.
A New Enhanced Template Protection Algorithm on Iris Recognition
Authors:   Department of Computer Science and Engineering, Jagannath University, Jaipur, India., Khan* Monis , Yadav Suraj ,   Department of Computer Science and Engineering, Jagannath University, Jaipur, India.
Published: April 2020

Over the past few years, biometric systems have become prominent in terms of verification of the user identity due to increased demand of security in the networked society. Iris recognition system is a novel technology for the verification of user which is considered as the most secure, reliable and stable technique. It is generally accepted in the areas with high security. Though, security is major concern in this field, a significant number of approaches have been proposed to secure iris biometrics, But still, there is a scope to improve these techniques. Thus, in this work, a novel model is proposed which employs a bitmask compression technique to secure the template obtained for iris by compressing its actual size. In addition; SVM is used for the classification process. Mean Square Error, Bit Error Rate, PSNR, and GAR are different parameters which are used for measuring the effectiveness of the proposed model. The simulation results are carried out in MATLAB software and the comparative results validated the efficacy of the novel model with respect to security, efficacy and accuracy.
The Impact of PV Power Plants Implementation on Electricity Cost and Shadow Price Minimization
Authors:   Assistant Lecturer in the Electrical & Communications Engineering department in the British University in Egypt (BUE), Nazih* Nathalie , El-Khattam Walid ,   Associate Professor in the Department of Electrical Power and Machines, British University in Egypt (BUE)., Abdel-Salam T.S. ,   head of Renewable Energy Department, Faculty of Energy and Environmental Engineering, British University in Egypt (BUE)
Published: April 2020

The increase reliance on competitive electricity market has led to widespread research to reallocate energy sources and minimize the price of energy and the services related to it. The main issues that faces the design of any energy market, is thehigh cost of generation and the high shadow pricesthat highly impacts the consumers.Also,achieving the supply-demand balance and minimization of the transmission congestion is a vital goal while planning. In this paper, a transparent and open competitive market is attained. In order to control the electricity market and reduce the market clearing price, this study proposed introducing renewable energy power plants which has lower electricity generation cost in comparison with the conventional power plants.Minimization of the shadow price is achieved by dividing the electricity grid into multiple regions. Every region has a different shadow price depending on the load demand and the power plants available to supply the demand at this region. Where,the market clearing price of each region is set as the price of generation of the highest power plant sharing in supplying the load demand at this region. This methodology is applied on the Egyptian unified power network.Sizing and allocation of the renewable energy power plantsis studied carefully from the technical and economical point of view to maximize the benefit and minimize the overall cost function and shadow price.
Diverse Cell Association Schemes for Fifth-Generation Wireless Networks
Authors:   Dept. of Communication Engineering, Vellore Institute of Technology, Vellore, India., Ray* Siddhant , Bhattacharyya Budhaditya ,   Dept. of Communication Engineering, Vellore Institute of Technology, Vellore, India.
Published: April 2020

One of the underlying challenges in infrastructure-based multi-cell wireless networks is ensuring the proper association of a particular mobile User Equipment (UE) to the appropriate base stations (BSs). In the network terminology, this is usually referred to as cell association, user association, cell selection, or BS assignment. For now, the term cell association will be used for further discussion within this paper. In a wireless network with dense deployment of the base stations (BSs), the number of potential BSs with which a UE can be associated increases significantly with the increasing network complexity. The network densification demands the need for designing optimal or distributed cell association schemes. This is because, in case of improper association of UEs with BSs, it may result in increased interference, reduced throughput, inefficient energy consumption, load imbalance and higher latency in both uplink and/or downlink. 5G cellular networks aim to improve the connection speed and provide ultra-low latency through heterogeneous environments. While maintaining these parameters, the Quality of Service (QoS) needs to be maintained along with a sustained data rate. In such a case, the design of efficient cell association scheme for smooth flow of the traffic in the network is a real challenge which needs to be tackled. The aim of this paper is to study cell association techniques for 5G and beyond wireless networks, analyze the benefits of the methods and propose evolved and better solutions for cell association schemes.
Smart Storage Container for Solids
Authors:   Assistant Professor, Department of Computer Science and Engineering, St Joseph’s Institute of Technology Affiliated, Anna University. Chennai, Tamil Nadu, India., A. Vinora
Published: April 2020

In this paper, we introduce a novel smart storage container for tracking the level of solid commodities (dal, rice, sugar, salt,, etc.,) stored to assist in inventory management without human interaction. The intelligent container is an application of Internet of Things (IoT) in kitchen automation. This technology incorporates an ultrasonic sensor that uses pulse echo method to monitor and sense the level of solid commodity kept within storage containers. A microcontroller monitors the level of commodity with the help of sensors and assists in tracking the quantity of commodity. Pulse echo method determines the difference between an empty container and a particular level of completion based on frequency values taken as threshold values. The microcontroller enhanced along with a GSM modem notifies the user or house owner and a request is sent to the store to deliver the commodity on the verge of completion. The smart and intelligent container provides personal assistance in monitoring the usage of day-to-day kitchen commodity.
Computational Efficient Method for Denoising of Salt and Pepper Noise for Image Enhancement
Authors:   PhD Scholar, EC Department, RKDF IST, SRK University Bhopal, India, Raghuwanshi* Neetesh , Chourasia Dr Bharti ,   Associate EC Department, RKDF IST, SRK University Bhopal, India
Published: April 2020

Digital Image processing is basically a computer-algorithm which is used to enhance the quality of image to understand the feature of image and exact the meaningful features information from image. Image processing has wider range of algorithms to be applied to the input image and can escape the difficulty as the signal distortion and add noise in input image at the time of processing of images. Noises affect the image visualization and degraded the image quality, sometimes chaotic variation in value of pixel intensity, lighting effect or because of poor contrast, image can’t be used directly because many time interest feature information not received as output that’s one reason image processing is significant for removal of noise from images, so noise removal is becomes trending field in image processing. Median filter method is one of most popular method to eradicate the effect of noise from image and it enhances the image quality to take meaningful feature easily from image. In this paper removing of noise using median filter to enhance the image quality is discussed, also the importance and applications of enhancement technique are covered. Parameter PSNR and MSE is also used to analysis the image quality along with the visualization of image. Simulation results show that Median filter gives good outcome for salt & pepper noise as compare to other filtering method. MATLAB software is used as simulation tool.
Data Profiling Model for Assessing the Quality Traits of Master Data Management
Authors:   Computer Science and Applications, Chaudhary Devi Lal University, Sirsa (HR), India., Singh Dr. Dilbag , Kaur* Dupinder ,   Computer Science and Applications, Chaudhary Devi Lal University, Sirsa (HR), India.
Published: April 2020

Enterprise Resource Planning (ERP) and Business Intelligence (BI) system demand progressive rules for maintaining the valuable information about customers, products, suppliers and vendors as data captured through different sources may not be of high quality due to human errors, in many cases. The problem encounters when this information is accessible across multiple systems, within same organization. Providing adequacy to this scattered data is a top agenda for any organization as maintaining the data is complicated, as having high quality data. Master Data Management (MDM) provides a solution to these problems by maintaining “a single reference of truth” with authoritative source of master data (Customer, products, employees etc). Master Data Management (MDM) is a highlighted concern now a day as valid data is the demand for strategic, tactical and operational steering of every organization. The lane to MDM initiates with the quality of data which demands for discovery of master data, profiling and analysis. As inadequacy of data may leads to adverse effects such as wrong decision, loss of time, bad results and unnecessary risk. Thus there is a need to deal with master data and quality of this specific data in a successful and efficient manner. For ensuring this purpose, an approach is proposed in this paper. The research focuses on development of a Model for Data Profiling to assess the level of Quality Traits for Master Data Management. Results are shown by executing the defined steps on TALEND tool over collected dataset. Thus, level of quality traits processes directly correlates with an organization’s ability to make the proper decisions and better outcomes.
Analyzing Role of University/Institute Support and Organizational Environment in Industrial Training Satisfaction of Hospitality Students: with Reference to Uttarakhand
Authors:   Research Scholar, Department Of Hospitality Management Graphic Era Deemed to be University, Dehradun,India, Kukreti Mr. Ravish , Dani Dr. Rakesh ,   Assistant Professor, Department Of Hospitality Management Graphic Era Deemed to be University, Dehradun,India
Published: April 2020

Internship in area of hospitality are integral part of curriculum for any hospitality undergraduate course as it provides students with the platform where they can actually implement their theoretical knowledge into the practical aspect .Internship tenure focuses on supervised practical training of hospitality undergraduates in particular time frame .Internship tenure provides very essential platform to implement their skills in professional hotel environment. In spite of its relevance and importance of internship very little amount of research has been done for analysing the internship satisfaction of hospitality undergraduates .The focus of the research was to analyse the role of University/Institute support and organizational environment for internship satisfaction In order to analyse the role of these factors 18 structured question were asked to the 106 respondent from major hospitality institute of Uttarakhand, the result obtained was analysed using likert 5 point scale. The findings of the study will be relevant and useful for students of hospitality management, Universities /Institute offering courses in the field of Hospitality management and the employer offering jobs to the students of hospitality management
A Modified Method for Predicting Relative Permeability
Authors:   Petroleum engineering department, General Petroleum Company, Cairo, Egypt., Ameen* Mohamed , Tantawy Mahmoud ,   Faculty of Petroleum and Mining Engineering, Suez University, Suez, Egypt, Gawish Ahmed ,   Faculty of Petroleum and Mining Engineering, Suez University, Suez, Egypt
Published: April 2020

Evaluating the relative permeability data is very essential as all the reservoirs contain multiple fluid phases. In absence of lab measured data, many correlations were developed to capture an accurate formula for relative permeability data prediction. The objective of this work focuses on how to calculate the value of exponents incorporated into generalized Corey’s correlation instead of using pre-assumed fixed values and use the estimated values of exponents to predict relative permeability data. A giant database of experimental results for 750 plugs, covering different types of reservoir rocks and fluid systems, was involved in the methodology development to test its validity and reliability. Relative permeability data prediction was performed for 750 plugs using the generalized Corey’s correlation and the proposed methodology to estimate exponents. Predicted relative permeability data were compared to the collected actual experimental results and the prediction results of other common published correlations through extensive statistical analysis. Statistical analysis showed that the proposed methodology has significant reliability to predict relative permeability data.
Road Pothole Detection using Deep Learning Classifiers
Authors:   Associate Professor, Department of Computer Engineering, Sardar Patel Institute of Technology, Andheri (West), Mumbai, India, Arjapure Surekha , Kalbande D. R. ,   Professor, Department of Computer Engineering and Dean(Industry Relations), Sardar Patel Institute of Technology, Andheri (West),Mumbai, India.
Published: April 2020

Pothole is one of the major types of defects frequently found on the road whose assessment is necessary to process. It is one of the important reason of accidents on the road along with the wear and tear of vehicles. Road defects assessment is to be done through defects data collection and processing of this collected data. Currently, using various types of imaging systems data collection is near about becomes automated but an assessment of defects from collected data is still manual. Manual classification and evaluation of potholes are expensive, labour-intensive, time-consuming and thus slows down the overall road maintenance process. This paper describe a method for classification and detection of the potholes on road images using convolutional neural networks which are deep learning algorithms. In the proposed system we used convolutional neural networks based approach with pre-trained models to classify given input images into a pothole and non-pothole categories. The method was implemented in python using OpenCV library under windows and colab environment, trained on 722 and tested on 116 raw images. The results are evaluated and compared for convolutional neural networks and various seven pre-trained models through accuracy, precision and recall metrics. The results show that pre-trained models InseptionResNetV2 and DenseNet201 can detect potholes on road images with reasonably good accuracy of 89.66%.
Blockchain Technology towards the Mitigation of Distributed Denial of Service Attacks
Authors:   Research Scholar, Gujarat Vidyapith, Ahmedabad, India., Patel* Darshi
Published: April 2020

The Distributed Denial of Service attack become one of the most adverse effects among all Cyber-attack due to the high availability of the internet and unprotected internet-connected communication devices. There are many mitigation solutions available to reduce the risk of DDoS attacks, and the researcher represents many techniques to get rid of the DDoS attacks. The main challenge to identify and mitigate the attack is that attack traffic mixes with the legitimate system user traffic so it becomes very important to block the attack traffic because it costs in terms of money and system reputation. Blockchain technology presents the ideology of decentralized distributed database and transaction without the need of any central authority. But utilization of blockchain is not only limited to the financial sector but supply chain, IoT, hospitality sector used blockchain most. The most attractive features of the blockchain like immutability, distributed makes the use of blockchain for mitigation of various Cyber-attacks, and one of them is DDoS Attacks. The solution of DDoS attacks that utilize the blockchain is still in the infancy phase. In this paper, we propose the review or survey of DDoS attacks solutions based on blockchain. And also present the comparative study of Blockchain-based DDoS mitigation solutions for non-IOT domain or system. This paper also gives brief about the features of this interconnection of two emerging domain named DDoS Attacks and Blockchain Technology.
Fuzzy Positional Function Via Fuzzy Filter
Authors:   Department of Mathematics, College of Education for Pure Sciences, University of Babylon, Iraq., Najm Mohammed Majid , Al-Swidi Luay A. A. ,   Department of Mathematics, College of Education for Pure Sciences, University of Babylon, Iraq.
Published: April 2020

The research was based on the principle of defining the fuzzy positional function applying the fuzzy filter. Significant properties were obtained and examples were provided to clarify these properties.
Tensorflow Based Image Classification using Advanced Convolutional Neural Network
Authors:   Department of Computer Science & Engineering,Babu Banarasi Das University, Lucknow, India., Kumar Pradumn , Dugal Upasana ,   Department of Computer Science & Engineering, Babu Banarasi Das University, Lucknow, India.
Published: April 2020

In this Research study image identifications will be done by the help of Advanced CNN (Convolutional Neural Networks with Tensorflow Framework. Here we use Python as a main programming language because Tensorflow is a python library. In this study input data mainly focuses on Plants categories by the help of leaves for identifications. Selecting CNN is the best approach for the training and testing data because it produces promising and continuously improving results on automated plant identifications. Here results are divided in terms of accuracy and time. Using advanced CNN results are above 95% while on others accuracy is below 90% and taking much time than this.
A Ultra High Frequency (UHF) RFID Antenna Design for Food Quality and Safety
Authors:   Department of Electronics and Communication Engineering, Kongu Engineering College, Perundurai, J* Vijayalakshmi. , V Dinesh. ,   Department of Electronics and Communication Engineering, Kongu Engineering College, Perundurai, P.A Sivsankgari. ,   Department of Electronics and Instrumentation Engineering, Kongu Engineering College, Perundurai, S Saranya. ,   Department of Electronics and Communication Engineering, Kongu Engineering College, Perundurai, V Sanju Shree. ,   Department of Electronics and Communication Engineering, Kongu Engineering College, Perundurai
Published: April 2020

In this proposed review paper an antenna design for Ultra High Frequency Radio Frequency Identification (RFID) is presented. We discuss various applications of RFID antenna: meat freshness monitoring application, RFID card, RFID bracelets, in food containers for catering business and methods to measure dielectric properties on agri food materials. Modeling and simulation results are also presented.
The effect of foliar application of mineral fertilizer on the growth and development of apple trees in a fruit-bearing orchard
Authors: Gorb N. N. , Useynov D. R. , Chelebiev E. F.
Published: April 2020

The article presents data on the study of the effect of non-root water-soluble mineral fertilizer Novatek Solub K-Max 10-5-30 on productivity, mass and size of the fruit, depending on the application rate of the preparation, as well as indicators of growth activity of apple trees of Krymskoe cultivar. Obtaining high rates of yield increase from the introduction of the preparation Novatek also indicates that it is an active stimulator of increasing the productivity of apple. The use of this mineral fertilizer is recommended for inclusion in the industry regulation of apple cultivation as one of the technology elements.
Complex effect of pyrogenic impact factors on biological properties of chernozems
Authors: Odabashyan M. Y. , Trushkov A. V. , Kazeev K. Sh. , Minnikova T. V. , Kolesnikov S. I.
Published: April 2020

For the first time, the influence of pyrogenic effects on the biological condition of the ordinary chernozem of the Rostov region. In model experiments in 2017-2019 investigated the change in the biological properties of the soil when exposed to the flame of a gas burner (duration 1, 2, 3 minutes), infrared radiation (to a temperature of 100, 200 and 400°C), as well as smoke from straw combustion at different temperatures (52 and 139°C for 3, 9 and 30 minutes). When exposed to fire, smoke and infrared radiation revealed a decrease in the values of biological indicators. Enzyme activity decreases when exposed to gas burner by 17-30%, when exposed to infrared radiation - by 55-84%, and when exposed to hot (136°C) smoke - by 16-32%. The degree of reduction depended on the duration of exposure, soil moisture and temperature. Microbial biomass is reduced - by 35-52% when exposed to the fire of a gas burner, 49-68% when exposed to infrared radiation, and 10-35% when exposed to smoke.
Assessment of radionuclide contamination of plant resources of the Voronezh region by example of leaves of winter linden tree
Authors: Dyakova N. A.
Published: April 2020

As part of the study, the activity of artificial and natural radionuclides (strontium-90, cesium-137, potassium-40, thorium-232, radium-226) was determined in 36 samples of medicinal plant raw materials of the core and upper soil layers on which the plants were grown. All samples meet the existing requirements of regulatory documentation on radionuclide activity. The average value of the strontium-90 accumulation coefficient was 0.39, in different samples of the region it varied from 0.31 to 0.60. Cesium-137 accumulation coefficients ranged from 0.29 to 0.65 at an average of 0.39. For thorium-232, the average accumulation coefficient in the core lip flowers is 0.15 and took values in the samples studied from 0.09 to 0.231. For potassium-40, the average accumulation ratio in the feed was 0.98 and varied from 0.71 to 1.29, and for radium-226 - 0.47, with a variation from 0.39 to 0.59.
CanMEDs and the discourse of nature: on petals, beauty and the symmetry of flowers
Authors: White Jonathan , Erichsen Shannon
Published: April 2020

N/A
How do Ontario family medicine residents perform on global health competencies? A multi-institutional survey
Authors: Veras Mirella , Pottie Kevin , Ramsay Tim , Welch Vivian , Tugwell Peter
Published: April 2020

Background: There is an increased interest in global health among medical students, family medicine residents, and medical educators. This paper is based on research to assess confidence in knowledge and skills in global health in family medicine residents in five universities across Ontario. Methods: A web based survey was sent to 166 first-year family medicine residents from five universities within Ontario. Descriptive statistics were used to analyze residents’ confidence in their knowledge and skills in global health. The strength of association between each of the self-perceived knowledge and skills variables was assessed by the Spearman correlation coefficient.  Results: The response rate ranged from 29% to 66% across the five universities. Self-perceived knowledge scores revealed that 34.3% of the respondents were very confident, 51.9% were somewhat confident, and 13.8% were not at all confident about their global health knowledge. Participants' confidence scores were lower in relation to knowledge of access to health care for low income nations (44.3%), and were better on their global health skills related to working in a team (70.9%) and listening actively to patients' concerns (64.6%). Conclusions: The global health competency scale has identified key areas of strengths and weaknesses of family medicine programs in global health education. This can be used to evaluate and analyze progress over time.
Medical students' attitudes and perspectives regarding novel computer interface based practical spot test compared to traditional method of practical spot test
Authors: Wijerathne Buddhika , Rathnayake Geetha
Published: April 2020

Background: Most universities currently practice traditional practical spot tests to evaluate students. However, traditional methods have several disadvantages. Computer-based examination techniques are becoming more popular among medical educators worldwide. Therefore incorporating the computer interface in practical spot testing is a novel concept that may minimize the shortcomings of traditional methods. Assessing students’ attitudes and perspectives is vital in understanding how students perceive the novel method. Methods: One hundred and sixty medical students were randomly allocated to either a computer-based spot test (n=80) or a traditional spot test (n=80). The students rated their attitudes and perspectives regarding the spot test method soon after the test. The results were described comparatively. Results: Students had higher positive attitudes towards the computer-based practical spot test compared to the traditional spot test. Their recommendations to introduce the novel practical spot test method for future exams and to other universities were statistically significantly higher.Conclusions: The computer-based practical spot test is viewed as more acceptable to students than the traditional spot-test.
Visión artificial en reconocimiento de patrones para clasificación de frutas en agronegocios
Authors: Sucari León Reynaldo , Aroquipa Durán Yolanda , Quina Quina Luz Delia , Quispe Yapo Edgardo , Sucari León Anibal , Huanca Torres Fredy Abel
Published: April 2020

La presente tuvo como objetivo determinar la efectividad de aplicar visión artificial en reconocimiento de patrones para la clasificación de frutas en los agronegocios, para ello se ha empleado una base de datos con 50 registros de 6 variedades de frutas donde se consideró 4 características para cada fruta y una muestra de 20 frutas, así mismo se ha empleado la técnica reconocimiento automático de patrones por medio del clasificador bayesiano implementado en Octave, en el experimento se logró reconocer las frutas hasta en un 93.33% y errando en 6.67%. Concluyendo que si es efectivo aplicar la visión artificial en el reconocimiento de patrones para clasificar frutas.
Las tecnologías de información y comunicación y su influencia en el aprendizaje de la asignatura de minería y medio ambiente en los estudiantes de la escuela académico profesional de ingeniería de minas en la Universidad Nacional de Huancavelica – 2017
Authors: Ramírez Rosales Felisícimo German , Condori Mendoza Celia , Esteban Huamani Teodoro
Published: April 2020

La formación académica del futuro ingeniero de Minas reviste particular importancia y trascendencia, de ahí nos preguntamos: ¿Qué influencia ejerce la aplicación de las Tecnologías de Información y Comunicación en el aprendizaje de la asignatura de Minería y Medio Ambiente en los estudiantes de la Escuela Académico Profesional de Ingeniería de Minas de la Universidad Nacional de Huancavelica el año 2009?, investigación de carácter cuantitativo, tipo aplicada, nivel explicativo, método experimental, diseño pre experimental. Concluimos que las Tecnologías de Información y Comunicación han mejorado estadísticamente significativo, pedagógica y didácticamente el aprendizaje de la asignatura de Minería y Medio Ambiente
Efectos de uso del software matemático Matlab sobre el rendimiento académico de un grupo de estudiantes repitentes de matemática básica
Authors: Surichaqui  Gutierrez Franklin , Ramírez Rosales Felisícimo German , Mercado Boza Melvy Rosario
Published: April 2020

En la formación de estudiantes Universitarios, se ha evaluado el efecto del uso del software Matlab sobre el rendimiento académico en un grupo de estudiantes repitentes de matemática básica, investigación de tipo cuasi experimental, cuantitativo con un diseño de investigación  pre-experimental de pre prueba – post prueba con un solo grupo; se tuvo una muestra de 48 estudiantes repitientes distribuidos en un solo grupo, se usó evaluó  rendimientos académicos individuales en la escala de 0 al 20; se llega a la conclusión  que el uso del software matemático Matlab influye positivamente en el rendimiento académico de un grupo de estudiantes repitentes.
Desafios da governança territorial nos territórios incorporados ao programa Territórios da Cidadania
Authors: Corezola Fernanda , Oliveira Carlos Douglas , Almeida Maria Graça
Published: April 2020

O presente artigo trata da estratégia de desenvolvimento territorial frente ao Programa Territórios da Cidadania, constituído em 2008 pelo Governo Federal. Apresenta a estratégia territorial do governo, frente à política para o Brasil Rural e explicita os principais desafios de governança nos territórios da cidadania, a partir das percepções de gestores públicos ligados diretamente a estratégia e dos principais atores territoriais envolvidos nos territórios. Os desafios apresentados abordam temas relativos a gestão pública e gestão social, tais como participação, controle social, formação e qualificação política, técnica e institucional dos agentes públicos e da sociedade civil que compõem as institucionalidades territoriais, assim como a sustentabilidade dessas organizações e trâmites de projetos territoriais. O conjunto de considerações apresentadas indica elementos fundamentais que devem ser enfrentados para o avanço da estratégia territorial no desenvolvimento rural sustentável.
O colono múltiplo:
Authors: Seyferth Giralda
Published: April 2020

Este artigo aborda aspectos da formação camponesa ocorrida numa área de colonização estrangeira em Santa Catarina (o vale do Itajaí), povoada mais intensivamente por imigrantes a partir de 1850, ano da fundação do núcleo colonial de Blumenau. A análise contempla as representações e apropriações da categoria colono, conformada como identidade social aludida ao processo histórico de ocupação do território e à dicotomia clássica rural/urbana, só em parte associada a exploração familiar da terra e a ruralidade. Nesse caso, destaca-se principalmente o período histórico do povoamento e da emergência de núcleos urbanos (entre 1850 e 1914), fonte da simbólica que marca os discursos, inclusive atuais, sobre a colonização e seus pioneiros.
Da ‘educação do campo’ à ‘educação quilombola’:
Authors: Arruti José Maurício
Published: April 2020

O elemento central na justificativa de uma “educação do campo” é a nova atenção e importância que se deve dar ao vínculo entre terra, território e escola. Mas, se levarmos a sério esta recomendação, acabaremos por perceber que existem muito mais modos de se relacionar com a terra do que aqueles previstos sob a categoria de “camponês”, “agricultor familiar” e “trabalhador rural”, que em geral descrevem as “populações do campo” e que estão na base da reflexão sobre a “educação do campo”. Isso implica reconhecer que, se a crítica que a “educação do campo” faz às escolas convencionais é positiva, seu modelo educacional produz também um viés homogeneizante.
Ronteira, questão agrária e modernização:
Authors: Silva Felipe Maia Guimarães da
Published: April 2020

A “fronteira” é uma categoria de uso corrente na sociologia. O trabalho pretende discutir a utilização desta categoria em três autores “clássicos” da disciplina, buscando comparar o sentido que ela assume em suas obras e, com isso, discutir o valor heurístico das teses por eles sugeridas. Utilizando as interpretações de Max Weber, Frederick J. Turner e V. I. Lênin, trabalha-se a “fronteira” como variável decisiva na interpretação dos processos históricos de modernização na periferia do capitalismo.
Efeitos da gestão participativa dos parques estaduais da Bahia
Authors: Macedo José Alberto Castro , Drummond José Augusto
Published: April 2020

Neste artigo são discutidos os efeitos da participação sobre a gestão de três parques estaduais da Bahia - Serra do Conduru, Morro do Chapéu e Sete Passagens a partir da técnica “Medición de la efectividad del manejo de areas protegidas”, proposta por Cifuentes, Izurieta e De Faria (2000). As fontes abrangem documentos das unidades, respostas a questionários, entrevistas com funcionários dos parques e anotações de trabalho de campo. O pressuposto é o de que o pouco envolvimento das comunidades leva a uma gestão insatisfatória. Para cada unidade foi calculado um índice de efetividade. Sete Passagens e Serra do Conduru têm a gestão mais participativa, com 71 e 57 pontos, respectivamente (numa escala de 1 a 100), alcançando gestão medianamente satisfatória. Morro do Chapéu alcançou 37, ficando na categoria de gestão pouco satisfatória. Isso indica que a qualidade da gestão se correlaciona com a gestão participativa.
Features, Challenges and Issues of Fog Computing: A Comprehensive Review
Authors: Yassein Muneer Bani , Alzoubi Omar , Rawasheh Saif , Shatnawi Farah , Hmeidi Ismail
Published: April 2020

Fog computing is a promising technology that is used by many organizations and end-users. It has characteristics and advantages that offer services such as computing, storage, communication, and application services. It facilitates these services to end-users and allows to increase the number of devices that can connect to the network. In this paper, we provide a survey of Fog computing technology in terms of its architecture, features, advantages and disadvantages. We provide a comparison of this model with Cloud Computing, Mobile-Edge Computing, and Cloudlet Computing. We also present challenges and issues that face Fog Computing such as privacy and security, control and management, fog networking and task scheduling. Finally, we discuss aspects of Fog computing security and the benefits of integration between Fog computing and other techniques like Internet of Things and Cloud Computing.
Impacto del Aula Virtual en el Proceso de Aprendizaje de los Estudiantes de Bachillerato General
Authors: Sánchez Luis
Published: April 2020

En esta investigación, analicé las bondades que ofrece un aula virtual en el aprendizaje de los estudiantes del bachillerato general. Para la recolección de datos se utilizó encuestas y entrevistas, para lo cual realicé una entrevista a los directivos del colegio, encuesté a 10 docentes, además a 112 estudiantes, teniendo como resultado una mejora en el aprendizaje. Esta investigación propone analizar el impacto del aula virtual en el proceso de aprendizaje en los estudiantes del bachillerato general, para el diseño del entorno virtual de aprendizaje basado en la plataforma Moodle. Analizando los resultados, se establece que, el estudiante debe hacer uso del aula virtual para adquirir nuevos conocimientos para aumentar su rendimiento académico, debido a que esta herramienta tecnológica ayuda a realizar trabajos autónomos enviados por los docentes para complementar las tareas diarias. Utilizamos la plataforma Moodle para el diseño del aula virtual, la cual permite: Distribuir información, intercambiar ideas, experiencias, aplicar, experimentar lo aprendido, evaluar los conocimientos, además, mantener tanto la seguridad como confiabilidad en el Sistema. También se concluye que haciendo uso del aula virtual el estudiante podrá construir su propio conocimiento teniendo como base conocimientos previos, esto gracias al uso sencillo de la tecnología y aplicaciones informáticas.
Generación del Programa de Estudios “Diseño Mecatrónico de Precisión” del Instituto Tecnológico de Hermosillo, Bajo el Modelo Curricular Basado en Competencias
Authors: Montijo-Valenzuela Eliel Eduardo
Published: April 2020

La demanda del mercado laboral dentro de la industria, en conjunto con el cambiante mercado globalizado, exigen cada vez más ingenieros con cualidades adaptables y cambiantes, sobre todo en sectores comerciales focalizados, donde los conocimientos técnicos y científicos son de alta importancia, formando al ingeniero, en un recurso humano de gran valor para el sector industrial. A nivel educativo, dentro de los Institutos Tecnológicos adscritos al Tecnológico Nacional de México, se buscan sistemas de enseñanza-aprendizaje que satisfagan las necesidades industriales, por lo que las academias trabajan en conjunto con el sector gobierno y el sector productivo para adecuar los modelos educativos en especialidades acordes a las necesidades del sector comercial regional y nacional. El objetivo de esta investigación es proyectar y elaborar la materia de “Diseño mecánico de precisión” para la especialidad de Ingeniería Mecatrónica del Instituto Tecnológico de Hermosillo, denominada “Diseño mecatrónico para la industria aeroespacial y automotriz”, con bases en el modelo de competencias y el análisis previo de las necesidades industriales.
La pedagogía de la imagen como forma de promover el aprendizaje significativo dentro del aula
Authors: Guillen Grecia
Published: April 2020

Se propone la Pedagogía de la Imagen (PI) como la forma más idónea de promover el aprendizaje significativo dentro del aula. Los elementos que sustentaron esta propuesta surgen de una investigación de campo, de carácter descriptiva. El grupo participante estuvo conformado por 5 docentes adscritos a la cátedra de Educación Ambiental (EA) del Instituto Pedagógico de Caracas (IPC). La metodología se estructuró en cuatro (4) etapas: (a) diagnóstico del conocimiento y uso de la PI en el aula; (b) diseño de estrategias centradas en la PI; (c) validación de las estrategias por expertos y (d) factibilidad del uso de las estrategias propuestas. Las técnicas e instrumentos de recolección de datos fueron: a) la encuesta para el diagnóstico y la factibilidad acompañado del cuestionario y (b) la observación y el cuestionario para la validación de las estrategias diseñadas. Los resultados fueron analizados partir de estadística descriptiva, concluyendo que: (a)Los docentes utilizan de intuitivamente la PI pero no poseen un fundamento teórico que permita su aplicación efectiva y (b) la propuesta realizada cumple con los criterios pedagógicos para su futura aplicación, razón por la cual se recomienda su implementación por los docentes que aspiran responder a las demandas de la sociedad actual.
Implementación de GeoGebra basada en la resolución de problemas de perímetro y área
Authors: Cevallos Darío
Published: April 2020

La presente investigación tuvo como objetivo proponer el uso de GeoGebra como recurso didáctico dirigido al desarrollo de destrezas en la resolución de problemas relacionados con perímetro y área de figuras planas, en el subnivel superior de Educación General Básica (EGB), en el área de Matemáticas. Este estudio se fundamentó en las ventajas de GeoGebra al aplicarlo como recurso didáctico. El enfoque de esta investigación fue mixto. La metodología se apoyó en el análisis documental, la aplicación de una prueba de diagnóstico, una prueba final y encuestas para diagnosticar el problema. La propuesta consistió en el diseño de secuencias didácticas con base en el empleo de GeoGebra. La implementación de la propuesta se llevó a cabo en el 10° año de EGB en la Unidad Educativa “Ricardo Muñoz Chávez”. Finalmente, en la evaluación de la propuesta se realizó un análisis comparativo de los resultados de la prueba de diagnóstico y la prueba final. También se analizaron los resultados de la evaluación formativa con las tareas de ejecución. A partir de la integración de los resultados, se concluyó que los estudiantes logran un mejor desempeño en las destrezas involucradas en la resolución de problemas con perímetro y área.
The Evolution of Digital Transformations: A Literature Review
Authors: Goldston Justin
Published: April 2020

Enterprise applications are complex
architectures that assist leaders of organizations to
make tactical and strategic business decisions. Many of
the studies in the literature review investigated the
history of ERP systems, the future of enterprise
applications, implementation success, ERP
implementations in small and medium environments,
and managerial approaches during times of
organizational change. The purpose of this literature
review was to analyze and synthesize previous studies as
they pertain to enterprise applications.