bluuebunny/crossref_metadata_2025 huggingface dataset:
Integrated Cache Scheduling Replacement Algorithm to Reduce Cache Pollution
Authors:   Assistant Professor, Computer Science and Engineering Department, Shri Ramdeobaba College of Engineering and Management, Nagpur, India., Kalambe Kavita , Rawat Sunita ,   Assistant Professor, Computer Science and Engineering Department, Shri Ramdeobaba College of Engineering and Management, Nagpur, India., Korde Nilesh ,   Assistant Professor, Computer Science and Engineering Department, Shri Ramdeobaba College of Engineering and Management, Nagpur, India., Kawade Gaurav ,   Assistant Professor, Computer Science and Engineering Department, Shri Ramdeobaba College of Engineering and Management, Nagpur, India.
Published: August 2019

Cache memory management has recently become one of the most crucial research topics in the area of high performance computing. The cache memory has gained popularity due to its capability to offer faster access compared to main memory so processor can access data directly through cache very efficiently. As processor execution speed is faster than accessing memory so the goal is to keep programs rapidly accessible for processing. Cache memory helps not only to access data quickly but also improves the performance of the system. Various cache management policies have been developed to improve the performance of the system. In this paper we focus the issues related with the existing replacement policies and present a new algorithm to overcome these issues. In this paper, we proposed Integrated Cache Scheduling Replacement Algorithm (ICSRA) that will remove the object on the basis of integration of all the parameters like size, frequency and recency if the cache is full. This algorithm consider all size of object to replace with the condition of frequency and timestamp parameter to reduce the cache pollution [1]. Cache pollution means the cache unnecessary waste its space by holding such an object which is no longer be accessed. ICSRA helps to enhance the utilization of cache memory in an efficient manner as well as maximize the cache hit ratio to improve the performance of the system. A detailed classification has also been included based on different parameters which are depending on the analysis of the existing techniques.
A Design of Intel’s IXP Meant for Embedded Systems
Authors:   Professor in the Department of Computer Science at MohanlalSukhadiya University, Udaipur, India., Jain Manoj Kumar , Jain Neha ,   Research Scholar in Department of Computer Science at Mohanlal Sukhadiya University, Udaipur, India.
Published: August 2019

Technologies to design an embedded system can be of three types: processor technology, IC technology & design technology. Billions of computing systems are built every year for a variety of purpose. They are built within larger electronic devices. These systems perform a one particular function on regular basis. These systems do not recognized by the device’s user. These systems are known as embedded system. Broad categories for system implementation are: Application Specific Integrated Circuit, Field Programmable Gate Array, Co-Processor, Application Specific Instruction Processor and General Purpose Processor. From the network processor’s designing point of view, it is very important to understand the preliminary characteristics of network applications which are generally based on address lookup, pattern matching, and queuing management which is further classified as Control plane and Data Plane processing.
Genetic Algorithm based Optimized Un-Interrupted Dispatching Schedule for Ready Mix Concrete truck with User friendly Interface on Single window (Single Plant Multi-sites)
Authors:   Research Scholar, Department, DYPIT, Pimpri, Civil Engineering, Associate Professor, PCCOE , Pune, A. K Mr. Gaikwad , Thakare Dr. S. B. ,   Professor, Department, Civil Engineering DYPIT, Pimpri, Principal, APCOE, Pune
Published: August 2019

Delivering Ready Mixed Concrete (RMC) to construction sites is an important task for the RMC Batch Plant (BP) manager. The RMC BP manager has to prepare an efficient schedule of dispatching RMC trucks, which will optimize the operations at the construction sites and also at the batch plant. The existing dispatching schedule mainly depends on the experience of the dispatching manager and preferences from sites. The RMC plant manager dispatches more and more RMC trucks to the longer construction site which may results in the lineup of RMC trucks at one site and keeping other sites waiting for the arrivals of RMC trucks, this may leads to ‘interruption’. In this model attempt is made to reduce the interruptions by giving scope to the BP manager to make changes in the SCT (Scheduled Casting Time) on single window called user friendly interface. A Genetic Algorithm User Interface (GAUI) model is developed in MATLAB environment to reduce waiting time of dispatching trucks. Result shows that GAUI model gives an un-interrupted dispatching schedule with reduced waiting time over the industry thumb rules results.
A Hybrid Model for Detecting DDoS Attacks in Wide Area Networks
Authors:   Research Scholar, KLEF, Guntur District, A.P., India., Arshad Mohammad , Hussain Dr. Mohammad Ali ,   Professor KLEF, Guntur District, A.P, India
Published: August 2019

Wide Area Networks (WANs) are subjected massive Denial of Service (DoS) attacks known as Distributed Denial of Service (DDoS) attacks. There are many distributed computing use cases in the real world. They include banking, insurance, e-Commerce and a host of other applications. In distributed environments, these applications are targeted by adversaries for launching DDoS attacks of various kinds. Such attacks cause the servers to be very busy answering fake traffic from the compromised nodes used by attackers from behind the scene. Large number of computers over Internet are compromised by attackers and through such machines DDoS attack is made. The server machines that provide services to genuine users become victims of such attacks. Detecting DDoS attacks is difficult in the presence of flash crowds that resembles DDoS traffic. As there are different kinds of DDoS attacks, it is understood, from the literature, that there is need for further research to have a comprehensive framework for detecting different kinds of DDoS attacks. In this paper we proposed a hybrid approach for detecting various kinds of DDoS attacks and simulation study is made to have proof of the concept. The results of the experiments revealed that the proposed methodology is useful to detect DDoS attacks in wide area networks.
Operation of Current-fed Dual Active Bridge DC-DC Converters for Microgrid
Authors:   Research Scholar in the department of Electrical and Electronics Engineering, Pondicherry Engineering College, Pondicherry University, Pondicherry, India., Geetha A. , Subramaniam Dr. N.P. ,   Associate and Teaching Faculty for the Electrical and Electronics Engineering Department at Anna University of Chennai, Gnanadass Dr. R. ,   Department of Science and Technology, Government of India.
Published: August 2019

Dual Active Bridge (DAB) is an isolated bidirectional DC-DC converter, which comprises two full bridge converters linked through a high frequency transformer. It has low stresses and permits high frequency performance because of the soft-switching. All the switches in the converter achieves the turn ON & OFF during Zero Voltage Switching (ZVS) and Zero Current Switching (ZCS) to minimize switching loss. Generally, DAB is classified as two types, namely, voltage-fed and current-fed variants. At light load conditions, soft-switching is not realized in case of voltage-fed DAB topologies. The application of current-fed DAB converters is to reduce the losses at the time of switching under light load conditions and improves the efficiency. This paper describes the various topologies of voltage-fed and current-fed DAB used for different applications in microgrid and fuel cell energy generation system by using the simulation. The performance of voltage-fed and current-fed DAB with snubber-less converters are also demonstrated and their effectiveness are validated.
Data Mining Based Intrusion Detection in Wireless Sensor Network
Authors:   Computer Science & Engineering, Global Academy of Technology, Bangalore, India., R N Asha , Dr. Venkatesan  ,   Computer Science & Engineering, DSCE, Bangalore, India.
Published: August 2019

Intrusion detection is the one of the challenging task in wireless sensor network and prevents the system and network resources from being intrude or compromised. One of the ongoing strategies for recognizing any anomalous activities presented in a network is done by intrusion detection systems (IDS) and it becomes an essential part of defense system against attacker problems. The primary goal of our work is to study and analyze intrusion detection technique meant for improving the performance of Intrusion Detection using hybrid ANN based Clustering technique. To estimate the effectiveness of the proposed strategy, KDD CUP 99 dataset is utilized for testing and assessment. Based on the analysis, it is noticed that the proposed ANN clustering performs much better than other methods with respect to accuracy which attains an average high accuracy of 93.91%when compared with other methods.
Role of Swarm Intelligence based Algorithms and their Applications for optimization in Software Reliability
Authors:   Ph. D Scholar*, Computer Engineering, Kurukshetra University/ UIET, Kurukshetra, Haryana, India,, Narender  , Malhotra Sona ,   Assistant Professor, Computer Engineering, Kurukshetra University/ UIET, Kurukshetra, Haryana, India,
Published: August 2019

The software has many features like functionality, maintainability, serviceability, usability, quality, performance. The reliability of the software is an imperative characteristic of software that leads to the eminence of the software. Software reliability is a great concern for software producers as well as users of the software. Keeping this concern in mind, there are already hundreds of software reliability models developed in the last four decades. This paper evaluates different algorithms based on Swarm intelligence in the way of optimization in software reliability. There are a number of swarm intelligence based algorithms that already have been used to improve the efficiency of the reliability of the software. Some of them are ant colony optimizer method (ACO), particle swarm optimizer method (PSO), artificial bee colony optimizer (ABC), bat algorithm, fish swarm algorithm, cuckoo search, bird flock algorithm. Still, there are so many algorithms based on Swarm intelligence that has not been used in this area. This paper investigates some known swarm intelligence based algorithms and their applications for optimizing software reliability.
Smart Sensor Network Based Fire Rescue System Design using LabVIEW
Authors:   Assistant Professor, ECE Department, GITAM University, Bangalore, India, Telagam Nagarjuna , panda Dr.Sunita ,   Assistant Professor, ECE Department, GITAM University, Bangalore, India, Nehru Dr.K. ,   Professor, ECE Department, Institute of Aeronautical Engineering, Hyderabad, India, Nanjundan Menakadevi ,   Assistant Professor, ECE Department, Hindustan College of Engineering and Technology, Coimbatore, India.
Published: August 2019

This paper enhances fire rescue system for reducing the number of victims in case of fire accidents. This system has been developed and implemented using the smart sensors and LabVIEW technology. It will automatically identify the fire accident and inform it to the rescue team (loco pilot for trains, security in buildings) through voice signal transmission. Servo motors are connected to water sprinklers to control fire. As an initial step, fire will be suppressed and intimation about the accident will be sent through short message service to the local fire stations, ambulance. This short message service consists of the status of fire accident accurately by transmitting the physical parameters. This also display the particular area code based upon that global system for mobile network. The complete details about the location (buildings, trains) could be intimated. With simple camera the number of members entered into the room can be known. So that directly saves the people instead of searching every room. As a whole this system ensures that it will reduce the human death ratio due to accidents.
Modelling Early Age Shrinkage of Concrete
Authors:   Assistant Professor in the school of civil engineering at Rajeev Gandhi Memorial College of Engineering and Technology., Sreekanth Gandla Nanabala , Ruksana Shaik. ,   pursuing M.Tech in Structural Engineering from Rajeev Gandhi Memorial College of Engineering and Technology, NANDYAL, A.P.
Published: August 2019

During past decades the concrete has been developed by low water-cement ratio, addition of superplasticizer etc to improve the properties and lifetime of a structure. Despite of the imporved properties it introduces the shrinkage which leads to cracks and reduces serviceability and durability of structure or material. Therefore the study of shrinkage becomes a challenge. In this study, the autogenous shrinkage of concrete mixtures at early age is modelled using analytical models for different water-cement ratios for different ages. The main objectives of the study are review of literature on autogenous shrinkage of concrete, comparative study of different models for autogenous shrinkage of concrete using experimental data available in literature, Identification/development of an analytical model for prediction of autogenous shrinkage of concrete, and probabilistic analysis of the autogenous shrinkage are discussed.
Sleep Apnea Identification using ECG and PPG Signals Involving Neural Network
Authors:   M.tech Student, Electronics & Communication Engineering Department, VVCE, Mysuru, India., S Rekha , R Dr. Shilpa ,   Associated Professor, Electronics & Communication Engineering Department, VVCE, Mysuru, India.
Published: August 2019

Sleep apnea is one of the hypothetically severe sleep disorders that often stops and begins to breathe. The undiagnosed sleep apnea can be very serious, resulting in fast decreases in blood oxygen levels, during which developed insulin resistance and type 2 diabetes may increase. Several people do not know their condition, though. Typical for sleep diagnosis is an overnight polysomnography (PSG) in a dedicated sleep laboratory. Since these exams are expensive and beds are restricted due to the need for trained employees to evaluate the full. An automatic detection technique would allow faster diagnosis and more patients to be analyzed. Hence detection of sleep apnea is compulsory so that it could be treated. This study established an algorithm that signaled a short-term electrocardiographic event extraction (ECG) and combined neural network methodologies for automatic sleep apnea detection. This study provides users with visual experiences through visual parameters such as HRV measurements, Poincare plot, global and local return map. This enables the doctor evaluate whether or not the individual is suffering from sleep apnea.
Design and Development of MDOE for Virtual Tourism Management for Elderly People
Authors:   Professor & Head, Department of Computer Science, School of Information Technology, Madurai Kamaraj University, India., Thangaraj Dr.M , Gomathi K. S. ,   Department of Computer Science, Madurai Gandhi NMR Subbaraman college for women , Affiliated to Madurai Kamaraj University, Madurai, TN, India..
Published: August 2019

The unstoppable growth of the internet as a communicationtoolfor travel and tourism poses greater challenges to tourism industries. Virtual tours have turned out to be an effective tool in engaging the customers with the Tourism companies. For older adults who wish to traveldespite their age and disability , the real world becomes very wide and stifling. But they may be able to escape from this isolation to the degree through virtual reality. Technology has largely shaped the way tourism projects are marketed in the contemporary industry. The direct and lasting impact of the unprecedented growth of technology, particularly in the tourism industry is strongly felt in the Virtual Reality technology which provides extraordinary opportunities. The recent developments in information and communication technologies (ICTs) have transformed tourism rapidly , with impacts on all areas in Tourist’s demand for Tourism management.Though aging process has adversely affected the physical health of senior citizen it can not little be their spirit and wish to travel to see places of interest . Health issues may also become a factor that arises during the trip they plan. Old people may be affected by environmental changes , climatic changes and changes in food , a factor that tourism providers should keep in mind while planning a tour.A virtual tour is a simulation of an existing location, usually composed of a sequence of videos, static images, sound effects, music, narration, and text. This paper presents Multi Disciplinary Ontology Engine (MDOE) which has been designedfor elderly people in the way they wish to enjoy the travel experience. This paper specially focuses on how the virtual tour fulfils the desires of the senior citizens with various algorithms andsatisfiesthem in the way they expect.
MATLAB /Simulink Modelings and Experimental Design of Variable Frequency Drive for Speed Control of Three-Phase Induction Motor
Authors:   faculty of Electrical (Power) Engineering at Sukkur IBA University, Sindh Pakistan, Akbar Ghulam , Mughal Mahnoor ,   faculty of Electrical (Power) Engineering at Sukkur IBA University, Sindh Pakistan., SabirHussain Syed ,   Assistant Professor in the department of Electrical Engineering at SukkurInstitute of Business Administration., Bukhari Shah ,   Department of Electrical Engineering SUKKUR IBA University, Sindh Pakistan.
Published: August 2019

This paper presents the PWM (Pulse Width Modulation) based speed control of three-phase asynchronous (Induction) motor. Induction motor is the leading machine used in many industrial controls, automation processes and in the field of HVAC applications. However, induction motor has fixed rated speed when directly connected to ac supply. It is necessary to design a drive system to obtain variable speed at its output to fulfill the application requirement. For this reason, we have designed a “VFD (Variable Frequency Drive)”, which gives desired speed- according to load changes unlike the DC motors, which do not require any speed controlling drive. Currently with the technological elevation in drive systems, the speed control of induction motor is more economical, convenient, reliable, and accurate. It provides continuous process control over a wide range of speed. VFD not only controls the speed of induction motor but also make its starting smooth by reducing starting inrush current and improves power factor. In result, power consumption is also reduced. In this paper, we have designed and analyzed the MATLAB/Simulink model of open loop drive system and then implemented an experimental hardware design.
Time-Domain Simulations of Single-Phase Enhanced PLL for Power Converters under Distorted Grid Conditions
Authors:   Assistant Professor, Vignan’s Institute of Information Technology, Visakhapatnam, Andhra Pradesh. Research Scholar, KLEF, Vijayawada., Deepika K.K. , Kumar J.Vijaya ,   Assoc. Professor, Dept. of EEE, ANITS, Visakhapatnam, Andhra Pradesh., Rao G.Kesava ,   Professor, Dept. of EEE, KLEF, Vaddeswaram, Andhra Pradesh.
Published: August 2019

With the developing number of alternate energy sources being connected to the Grid, there is a need for robust Grid synchronization technique that is capable enough despite the grid frequency and phase variations. Single phase Enhanced Phase Locked Loop (EPLL) presented in this paper meets these requirements. A detailed study of the performance of EPLL for disturbances in input grid voltage magnitude, phase and frequency is detailed through mathematical equations. Extensive simulations are carried out in Matlab/Simulink to analyze the phase and frequency tracking by EPLL. Dynamic response is examined carefully in terms of estimation of grid voltage, frequency and phase error.
A Six Dimension Service Quality Measurement of Health Care Sectors
Authors:   Department of Mechanical Engineering, Koneru lakshmaiah Education Foundation, Guntur, AP, India, Kumar P.S.Prema , Rambabu Dr.G. ,   Department of Mechanical Engineering, Andhra University College of Engineering, Visakhapatnam, AP, India.
Published: August 2019

Out of all the service sectors, health care sector is one of the essential sectors. As the population is increasing day by day, there is lot of demand for the health care service providers from the birth to till the end of the breath of mankind. So, patients are looking towards the good healthcare service provider. This paper explains how to measure the service quality of health care sectors by using six dimensions based on the past research. They are safety and security, tangibles, responsiveness, assurance, empathy and reliability. Data was collected from the patients using a survey questionnaire. Factor analysis was done for the variable’s reliability and convergence validity. Relative weight analysis also carried out to determine the priority of the service quality dimensions.
Advanced Biotechnology of Specialized Fermented Milk Products
Authors:   Omsk State Agrarian University named after P.A. Stolypin, Omsk, Russia, Gavrilova Natalya , Chernopolskaya Natalya ,   Omsk State Agrarian University named after P.A. Stolypin, Omsk, Russia, Rebezov Maksim ,   K.G. Razumovsky Moscow State University of technologies and management (the First Cossack University)», Moscow, Russia; Ural State Agrarian University, Yekaterinburg, Russia; V.M. Gorbatov Federal Research Center for Food Systems of the Russian Academy of Sciences, Moscow, Russia, Moisejkina Daria ,   Omsk State Agrarian University named after P.A. Stolypin, Omsk, Russia, Dolmatova Irina ,   Nosov Magnitogorsk State Technical University, Magnitogorsk, Russia, Mironova Irina ,   Bashkir State Agrarian University, Ufa, Russia; Federal penitentiary service of Russia, Moscow, Russia, Peshcherov Georgy ,   Federal penitentiary service of Russia, Moscow, Russia; Security Problems Studies Center of the Russian Academy of Sciences, Moscow, Russia, Gorelik Olga ,   Ural State Agrarian University, Yekaterinburg, Russia, Derkho Marina ,   South-Ural State Agrarian University, Troitsk, Russia
Published: August 2019

The aim of the study is the analytical substantiation of the perspective trend – the development of specialized fermented foods. According to the stable trend of using a balanced diet for the prevention and treatment of gastrointestinal diseases (for which dairy products are enriched with probiotics), a bioproduct has been developed, the formulation of which includes cottage cheese, cream, starter cultures of probiotic cultures, berry syrup, wheat bran. Cottage cheese is prepared by fermentation of a mixture consisting of buttermilk, wheat bran and biologically active additive "Nash lecitin", a leaven based on the association of starter (probiotic) cultures Lactobacillus acidophilus, B. lactis, B. longum, Streptococcus thermophilus in an immobilized form, by nanofiltration. Its chemical composition, nutritional and biological value were studied and microbiological parameters characterizing its functional properties were determined. Cottage cheese bioproduct recommended both for mass catering and for elderly persons nutrition.
Development and Validation of a Camera-Based Illumination Controller for People Detection, Tracking and Recognition using Computational Intelligence
Authors:   Electronics and Communications Engineering Department, De La Salle University, Manila, Philippines., Llorente Cesar A. , Dadios Elmer P. ,   Manufacturing Engineering and Management Department, De La Salle University, Manila, Philippines.
Published: August 2019

Illumination is crucial in human activities and in machine vision applications. For indoor surveillance applications, Infrared (IR) Light Emitting Diodes (LEDs) are the common means of providing illumination to the camera to cause no discomfort to human occupants. While IR provides non-obtrusive illumination for the camera, the same energy consumed does not provide the illumination to indoor spaces of the building. This is important if the premises where the camera is installed is not connected to the main power source or electric grid but derives energy from renewable sources. In this work, an illumination controller based on fuzzy logic system is developed and integrated to a vision system and an LED lighting system to provide a constant level of illumination to an object regardless of its distance from the image sensor. The computer vision system performs human object detection and face recognition and outputs fuzzy values representing the inferred distance of detected objects where the fuzzy system generates crisp output of duty cycle settings for the PWM controller for the LED lighting system to provide the required illumination needed by the vision system. Optimum illumination level for the vision system to perform the detection, tracking and face recognition operations must be provided by the system. Using visible Light Emitting Diodes as source of illumination, the system provides illumination both for the proper operation of the camera and human personnel monitoring the premises where the system is installed. This feature is significant in energy-constrained surveillance applications or where there is no power source derived from the electric grid.
Latent Dirichlet Analysis Based Opinion Mining of Healthcare Report
Authors:   School of Computing, SASTRA Deemed University, Thanjavur, Tamilnadu, India., P Silambarasi. , L.N.Eranki Dr.Kiran ,   School of Computing, SASTRA Deemed University, Thanjavur, Tamilnadu, India.
Published: August 2019

Intelligent abstraction of knowledge from Social blogs has gained immense attention from Biomedical and online health communities. Healthcare re- views through public opinion platforms not only helped in improving the health- care but also reducing the costs. Advancement in digital healthcare systems enables patients access to Online Health Communities (OHC) through their views, opinions and remedial information. In the current study reviews provided by patients on OHC related to diabetes has been chosen to understand the community effort to address the health care issues of these patients. Reviews shared by patients at various levels of diabetic conditions have been selected and analyzed using LDA text mining techniques. In the current study we have also analyzed the gender specific differences among the diabetic community based on the opinions shared by them on public OHC platforms. Sample for the study has been gathered from a prominent online diabetic community in UK. Community members wrote on different topics from food habits, lifestyle, physical exercise and dis- ease symptoms to predict and possible remedial measures to be taken has been discussed in online health communities. Results of our study show that male users are information-centric than the female users, while female users are more emotionally attached as compared to males. Study also reveals several other findings related to community support and state of healthcare sector with reference to treatment, medication and facilities available to the community.
FEA Simulation of Fluidic Based Pressure Sensor for Differrent Shaped Membrane
Authors:   Department of Physics, Universiti Pendidikan Sultan Idris, Perak, Malaysia., Razak Muhammad Rashidi Ab , Mat Nawi Mohd Norzaidi ,   Department of Physics, Universiti Pendidikan Sultan Idris, Perak, Malaysia., Azeman Nur Shahira Shahripul ,   Department of Physics, Universiti Pendidikan Sultan Idris, Perak, Malaysia., Umar Mohd Faudzi ,   Department of Physics, Universiti Pendidikan Sultan Idris, Perak, Malaysia.
Published: August 2019

In designing the fluidic based pressure sensor, the shape of the membrane is important in order to obtain maximum performance. The material used and the liquid inside the sensor is also important and deserve proper consideration. . In this work, the analysis of the membrane, materials and liquid using finite element analysis (FEA) are presented. The FEA simulation of the different shapes including square and rectangular shapes were carried out. The applied pressure and the dimension of selected membrane were varied in order to study the membrane performance.The result shows that the square shape produced the highest displacement of 4.7 mm compared to the other shapes. In terms of dimension, maximum performance can be achieved with a large area of membrane facing the applied pressure. The different types of membrane material andliquids that were used were also discussed. Two commonly used materials, Polyimide (PI) and Polydimethylsiloxane (PDMS) were chosen for this analysis. As for the liquids, methanol and propolyne carbonate were used.
Electrical Drive System Modeling for Real-Time Digital Simulation Applications
Authors:   Associate Professor, of EEE, Geethanjali college of Engineering and Technology, Hyderabad., Srikanth G. , Rao SG. Madhusudhana ,   Professor of EEE, VJIT, Hyderabad, India. Country Name.
Published: August 2019

In this paper the digital simulation of physical system in MATLAB-SIMULINK for real-time applications is simulated for partial-scale or full-scale and validated simulation results with the existing system. One of the applications is AC drive systems with speed adjustability not only limited to equipment’s of electrical. The proper selection of AC motor drive is one of the main resolves of this paper. The efficient control of speed and torque is the second aim by considering the flux weakening regions.
Influence of Anchor Connector Stiffness on Displacement-Internal Force of Steel-Concrete Frame
Authors:   Hanoi Architectural University, 100000 Ha noi, Vietnam., Nguyen Hong Son , Tran Van Quan ,   University of Transport Technology, 100000 Hanoi, Vietnam, Nguyen Quang Hung ,   Thuyloi University, Hanoi, Vietnam.
Published: August 2019

In the article, the author introduces how to determine the equivalent hardness of steel-concrete composite beam element, stiffness matrix and nodal load vector of steel-concrete beam element. Thereby, to build and solve the problem of analyzing the structural steel frame of concrete considering the anchor stiffness, programming and clarifying the impact of anchor stiffness associated with displacement - internal force of the frame.
Headspeak: Morse code Based Head Gesture To Speech Conversion Using Intel Realsense™ Technology
Authors:   PhD in Computer Science from VTU, Belgaum., Das Rupam , Shivakumar Dr. K. B. ,   Professor, Department of Telecommunication Engineering, Sri Siddhartha Institute of Technology, Tumkur.
Published: August 2019

Advancement in technology has ensured better and more intuitive Human Computer Interaction (HCI). However, technological leap has not been able to bridge the gap for individuals with disability, particularly people with different impairments. Work has been done towards translating various sign languages and lip reading, but not much work is identified towards head gesture recognition and head gesture to speech conversion. Paralyzed patients, with ability to only move their head and eye find it rather difficult to communicate and interact with machines. This work presents a novel and efficient technique to map restricted head movements to text format using face and emotion detection capabilities of Intel RealSense SDK using Morse Code Mapping. The work maps UP and DOWN position of the head to DASH and DOT symbols of Morse code for an EYE_BLINK event trigger and SMILE emotion to convert the sequence of Morse symbols to an English character. The new language called HeadSpeak effectively reduces the pain for generating head gestures through 3D face position based gesture detection.The system can produce an average of 19 characters par minute, gesture error rate of .03% and average 4.5 words per minute.
Existencia, mundo y afectividad en la producción textual de Miguel Á. Virasoro de mediados del siglo XX
Authors: Zalazar Castro Florencia
Published: August 2019

Se aborda la producción textual del filósofo argentino Miguel Á. Virasoro elaborada hacia mediados del siglo XX. Se presta especial atención a la concepción del vínculo existencia-mundo que establece el autor a través del abordaje de la afectividad. La lectura propuesta toma como premisa fundamental la necesidad de comprender las reformulaciones en el plano teórico-filosófico en conexión con las prácticas.
Dialogar desde el Sur: Sobre miradas cruzadas entre filósofos europeos y latinoamericanos en Mendoza
Authors: Ruvituso Clara
Published: August 2019

El artículo propone indagar en uno de los congresos de filosofía paradigmáticos para los intercambios transregionales en la posguerra: el denominado Primer Congreso Nacional de Filosofía de Mendoza en 1949. Realizado en el controvertido contexto del primer gobierno peronista, el congreso mendocino fue la primera reunión que convocó a filósofos americanos y europeos en el Sur. A partir del análisis de fuentes documentales diversas analizamos las diferentes posiciones que tomaron los filósofos latinoamericanos y europeos durante el encuentro. La pregunta central es cómo se definieron o/y redefinieron sus posiciones en el campo filosófico internacional durante el congreso, generando la posibilidad de un diálogo y –en términos de reconocimiento– de transformar las fuertes estructuras centro-periferia que dominan ese campo.
Prevalencia y persistencia del insomnio crónico
Authors: Díaz Cabezas Ricardo , Ruano Mario Ivan
Published: August 2019

Introducción: el insomnio, especialmente cuando se cronifica, se convierte en una patología con marcadas implicaciones en la salud física y mental. No obstante su importancia, en nuestro país existen pocos estudios poblacionales sobre su comportamiento epidemiológico. Estudios previos realizados en el departamento de Caldas mostraron una elevada prevalencia de insomnio global con cifras alrededor de 47%.

Objetivo: establecer la frecuencia, características sociodemográficas y persistencia a dos años del insomnio crónico, en una muestra poblacional representativa de la ciudad de Manizales. Sujetos y métodos: estudio transversal mediante entrevista domiciliaria en diferentes estratos socioeconómicos en mayores de 18 años, con queja de insomnio en el estudio previo de trastornos de sueño en Caldas (2008), que incluyó 530 personas de las cuales 228 tenían insomnio (agudo o crónico), lo cual arrojó una prevalencia global de 43.9%. Para el análisis de la información se empleó el paquete estadístico Epiinfo 6.04d/.

Resultados: el seguimiento a dos años se pudo realizar a 218 personas, y de éstas el insomnio continuaba en 175, lo cual indicó una prevalencia de insomnio crónico de 33% y una persistencia del mismo de 80.2%. Cuando sólo se estimó el insomnio con repercusión diurna la prevalencia fue de 10.9%. En más de la mitad de los individuos el insomnio había estado presente entre cinco y diez años. El aumento en edad fue el único factor asociado para una mayor frecuencia. A pesar de la persistencia y severidad del insomnio, sólo 18.3% lo habían informado al médico.

Conclusiones: las prevalencias halladas de insomnio global, crónico y con repercusión diurna se encuentran entre los rangos mencionados en la literatura y se detectó una elevada persistencia y duración del insomnio crónico. Lo anterior, y dadas sus consecuencias negativas sobre individuos y comunidades, amerita una búsqueda activa de esta condición en la práctica clínica y medidas gubernamentales apropiadas para su prevención y manejo
Prescripción-indicación de los inhibidores de la bomba de protones
Authors: Emura-Vélez Melissa Hiromi , Aguirre-Cardona Melissa , Cardona-Echeverri Diana María , García-Maurno Manuela Alejandra , García-Ospina Diego Arturo , Gutiérrez-Osorio Eliana Andrea , Castrillón-Spitia Juan Daniel
Published: August 2019

Introducción: los Inhibidores de la Bomba de Protones (IBP) son medicamentos antiulcerosos que han presentado patrones de uso diferentes a los autorizados, por lo cual se buscó determinar la prescripción-indicación de los IBP en una institución de primer nivel de La Virginia, Risaralda, y el costo de la prescripción inadecuada.

Diseño: estudio de prescripción-indicación de medicamentos.

Métodos: estudio de prescripción-indicación en pacientes mayores de 18 años con formulación de un IBP atendidos en el Hospital San Pedro y San Pablo de La Virginia, Risaralda, entre el 1 de julio de 2016 al 31 de julio de 2017. Se obtuvo una muestra aleatoria simple proporcional. Se utilizaron las historias clínicas como unidad de análisis. Se incluyeron variables sociodemográficas, comorbilidades, patrones de prescripción-indicación y polifarmacia. Se definió prescripción-indicación adecuada de IBP según la última evidencia científica disponible. Se usó Epiinfo 7.2 para realizar estadística descriptiva, X2 y una regresión logística binaria (P
Rabdomiolisis por levetiracetam
Authors: Sierra Umaña Sebastián Felipe , Olarte Jessica Tatiana , Cáceres Dolli Yineth
Published: August 2019

Introducción: el levetiracetam (LEV) es un medicamento anticonvulsivo con mecanismo de acción desconocido. La mayoría de efectos adversos son de intensidad leve a moderada, siendo la rabdomiolisis (RBM) uno recientemente descrito, con pocos casos reportados en el mundo.

Descripción del caso: hombre de 35 años, con antecedentes de obesidad y epilepsia generalizada sin tratamiento, quien cursa con estatus epiléptico, controlado con benzodiacepina y LEV satisfactoriamente. Examen neurológico y tomografía de cráneo simple descartan alteraciones asociadas. Presenta lesión renal aguda por RBM que a pesar de estatus epiléptico controlado y manejo con soporte dialítico, progresan hacia el deterioro. Se sospecha RBM por LEV luego de descartarse etiología autoinmune y RBM por inmovilización de paciente obeso. Se suspende el LEV observándose descenso rápido de la creatina quinasa (CQ) y mejoría progresiva de la lesión renal aguda, confirmándose así la sospecha diagnóstica. Se logra destete y retiro de soporte dialítico, dándose alta hospitalaria con función renal y CQ normales, ácido valproico como anticonvulsivante y alerta de contraindicación para manejo con LEV.

Discusión: el LEV es un antiepiléptico cuyos efectos adversos más frecuentes son: somnolencia, mareo, irritabilidad, cefalea y fatiga. La RBM por LEV es un efecto adverso infrecuente (pocos casos reportados en el mundo y ninguno reportado en Colombia). La sociedad europea incluyó dentro de los rótulos del LEV este efecto adverso recientemente. Su tratamiento se basa en suspender el medicamento y administrar terapia de soporte, así como, seguimiento clínico estrecho.

Conclusión: la RBM por LEV es un efecto adverso poco frecuente que debe sospecharse en presencia de lesión renal aguda por RBM sin otras causas explicables
Evaluación de calidad de vida en pacientes con Neoplasias Mieloproliferativas Crónicas Filadelfia Negativas
Authors: Basantes Guillermo León , Abello Polo Virginia , Casas-Patarroyo Claudia Patricia , Espinosa-Redondo Daniel , Solano-Trujillo Maria Helena
Published: August 2019

Introducción: la carga sintomática de pacientes con neoplasias mieloproliferativas crónicas Filadelfia negativas (NMC-PhN) afecta la calidad de vida (CV). Existen escalas para evaluar la magnitud de los síntomas, una de ellas, MPN-SAF-10. En nuestra región existe escasa información sobre CV de pacientes con NMC-PhN.

Objetivos: estimar el puntaje de calidad de vida con la escala MPN-SAF-10 en pacientes con NMC-PhN atendidos en el Hospital de San José (Bogotá, Colombia) y explorar asociaciones entre el tiempo de tratamiento, carga de complicaciones y el efecto en la CV.

Material y métodos: estudio de corte transversal analítico para evaluar CV basada en carga sintomática de pacientes con NMC-PhN del Hospital de San José (Bogotá, Colombia). Se realizó análisis descriptivo y estratificado de calidad de vida, tratamiento citorreductor y de diferentes complicaciones, así como pruebas de asociación de los puntajes de riesgo de cada enfermedad con sus respectivos puntajes de CV.

Resultados: en 64 pacientes la escala MPN-SAF-10 documentó medianas de puntajes globales de CV de 3 (RIC 1-6), MPN-SAF-10 de 20 (RIC 8-32). Un 49% de los pacientes tuvo algún grado de alteración (30% moderada y 19% severa), sin diferencias entre las tres enfermedades. Los puntajes de CV no variaron entre las NMC-PhN. El tratamiento y duración del mismo no se correlacionaron con la escala de MPN-SAF-10 (hidroxiúrea r: - 0.27; ruxolitinib r: 0.12).

Conclusiones: en pacientes con NMC-PhN, la evaluación de CV con la escala MPN-SAF-10 evidencia algún grado de afectación a pesar del tratamiento; ésta es útil para objetivar dicha afectacióny debe implementarse en la práctica clínica
LL Com: A Near-contact Total Eclipsing Binary at a Key Stage of Evolution
Authors: Hu Ke , Chen Kun , Xiang Fu-Yuan , Yu Yun-Xia , Zhao Er-Gang
Published: August 2019

Despite the discovery of LL Com, a Lyrae-type eclipsing binary system, approximately 60 yr ago, little has been found concerning its detailed photometry and orbital-period change until now. In this paper, we present the first multi-band charge-coupled-device photometric light curves, from which a significant luminosity reduction around the primary eclipse is revealed. Based on LAMOST data, we first determined LL Com’s spectrum as F1V and then analyzed the light curves with the 2015 version of the Wilson-Devinney code. The fact that LL Com is a near-contact binary system with a semi-detached configuration, where the secondary component only fills its Roche lobe and the primary component fills more than 95% of its Roche lobe, is suggested through the photometric solution. In addition, according to archival photometry and previously published times of minima, a secular period increase at a rate of

was found, which implies a continuous mass transfer from the secondary to the primary. Utilizing the photometric solution and the simulations of single-particle trajectories, we propose the existence of a cool spot on the surface of the primary component. This cool spot can be naturally produced by the impacts that occur during mass flow, and it also successfully interprets the luminosity reduction in the light curves. Finally, with the combination of thermal relaxation oscillation theory and the Roche-Lobe model, we conclude that LL Com is transitioning from the semi-detached to the detached phase.
The Masses of Supernova Remnant Progenitors in M83
Authors: Williams Benjamin F. , Hillis Tristan J. , Blair William P. , Long Knox S. , Murphy Jeremiah W. , Dolphin Andrew , Khan Rubab , Dalcanton Julianne J.
Published: August 2019

We determine the ages of the young, resolved stellar populations at the locations of 237 optically identified supernova remnants in M83. These age distributions put constraints on the progenitor masses of the supernovae that produced 199 of the remnants. The other 38 show no evidence for having a young progenitor and are therefore good Type Ia SNR candidates. Starting from Hubble Space Telescope broadband imaging, we measured resolved stellar photometry of seven archival WFC3/UVIS fields in F336W, F438W, and F814W. We generate color–magnitude diagrams of the stars within 50 pc of each SNR and fit them with stellar evolution models to obtain the population ages. From these ages we infer the progenitor mass that corresponds to the lifetime of the most prominent age within the past 50 Myr. In this sample, there are 47 SNRs with best-fit progenitor masses >15 M
⊙, and 5 of these are >15 M
⊙ at 84% confidence. This is the largest collection of high-mass progenitors to date, including our highest-mass progenitor inference found so far, with a constraint of <8 Myr. Overall, the distribution of progenitor masses has a power-law index of

, steeper than Salpeter initial mass function (−2.35). It remains unclear whether the reason for the low number of high-mass progenitors is due to the difficulty of finding and measuring such objects or because only a fraction of very massive stars produce supernovae.
A Connection between Spectral Width and Energetics As Well As Peak Luminosity in Fermi Gamma-Ray Bursts
Authors: Peng Z. Y. , Zhao X. H. , Yin Y , Wang D. Z.
Published: August 2019

We have revisited the spectral width in the EF

E
spectrum of gamma-ray bursts with the BEST peak flux P and time-integrated F spectral data provided by the Fermi GBM Burst Catalog. We first compute the BEST spectral widths to compare with some typical physics models. Our analysis results consist with the previous results: blackbody emission alone cannot explain the observed spectrum and most of the observed spectra cannot be interpreted by the synchrotron radiation. We then check the correlations between the spectral width and the observable model-independent burst properties of duration, fluence, and peak flux and find that positive correlations exist between them for both the P and F spectra. Moreover, the short burst appears to extend the correlation found for the long burst. We further demonstrate that these positive correlations also exist in the cosmological rest frame; that is, the spectral width correlates with the isotropic-equivalent energy E
iso as well as the isotropic-equivalent peak luminosity L
iso for different energy bands and timescales. Our results show that the wider bursts have larger energy and luminosity. Moreover, short bursts would appear to extend this trend qualitatively. Taking the Amati relation into account, we tend to believe that the spectral shape is related to energy and luminosity.
On Exact Laws in Incompressible Hall Magnetohydrodynamic Turbulence
Authors: Ferrand R. , Galtier S. , Sahraoui F. , Meyrand R. , Andrés N. , Banerjee S.
Published: August 2019

A comparison is made between several existing exact laws in incompressible Hall magnetohydrodynamic turbulence in order to show their equivalence, despite stemming from different mathematical derivations. Using statistical homogeneity, we revisit the law proposed by Hellinger et al. and show that it can be written, after being corrected by a multiplicative factor, in a more compact form implying only flux terms expressed as increments of the turbulent fields. The Hall contribution of this law is tested and compared to other exact laws derived by Galtier and Banerjee & Galtier using direct numerical simulations of three-dimensional electron MHD turbulence with a moderate mean magnetic field. We show that the studied laws are equivalent in the inertial range, thereby offering several choices on the formulation to use depending on the needs. The expressions that depend explicitly on a mean (guide) field may lead to residual errors in estimating the energy cascade rate; however, we demonstrate that this guide field can be removed from these laws after mathematical manipulation. Therefore, it is recommended to use an expression independent of the mean guide field to analyze numerical or in situ spacecraft data.