GSM

2012 ◽  
pp. 306-325
Author(s):  
K.G. Srinivasa ◽  
Vijayendra R ◽  
Raddi C.S. Harish ◽  
Kumar M. Anil
Keyword(s):  
Mobile Phones ◽  
Real World ◽  
Electronic Device ◽  
Relevant Information ◽  
Second Phase ◽  
Rf Transmitters ◽  
System A ◽  
Innovative System ◽  
Central Database ◽  
Two Phases

The objective of this chapter is to provide an innovative system for tracking and monitoring objects using RF transmitters and receivers, and querying about these objects using mobile phones. The protocol for the system and a simulation to check the feasibility of this project before applying it to a real world scenario is presented below. In this simulation, capability of the transmitter and receiver is tested to communicate effectively and also display the data sent by the transmitter. As a result, a highly flexible wireless controlled system would enable bridging the distance between the user and the electronic device, and hence, provide easier access to real world entities, by just manoeuvring the mobile phones, without the need to be physically present near the object. Also, it is being enhanced to ensure an authenticated access to these resources, thereby taking care of the security aspect. The working of the system can be divided into two phases: phase one comprises a pair of RF transmitter and receiver coupled with a central database, and phase two is comprised of GSM modem with a unique SIM linked to the central data base via GSM network. In the first phase of the system, RF transmitters are tagged to the objects of everyday use and have the capability of transmitting signals, and the paired receiver detects the transmission of the tagged object and stores its corresponding location in the central database, which is created specifically for information maintenance of the tagged objects. In the second phase of the system, a mobile phone is used to query the location of any tagged objects based on its availability in the vicinity, by sending a message to the SIM connected to a GSM modem. If an object is present, the GSM modem fetches the location and other relevant information from the central database and encapsulates this information into a message, which is sent back to the mobile device or phone that has requested the information.

Handling Medical Emergencies Through Better Interaction With Real-World Entities via GSM

2018 ◽  
Vol 2 (1) ◽  
pp. 48-67
Author(s):  
Sudhakar Yadav ◽  
B. Eswara Reddy ◽  
K.G. Srinivasa
Keyword(s):  
Real World ◽  
Electronic Device ◽  
Relevant Information ◽  
Second Phase ◽  
Rf Transmitters ◽  
Controlled Systems ◽  
Innovative System ◽  
Medical Emergencies ◽  
Central Database ◽  
Two Phases

This article aims to provide innovative system for tracking and monitoring health objects using RF transmitters and receivers. We begin by proposing a prototype for the system and perform a simulation to check the feasibility of this project before applying it to a real-world scenario. In this simulation model, we test the capability of the transmitter and receiver to communicate effectively and also display the data sent by the transmitter. As a result, highly flexible wireless controlled systems would enable the bridging of the distance between the user and the electronic device. This would provide an easier access to real world entities by just using mobile phones, without the need to be physically present near the object. Also, the addition ensures authenticated access to resources in view of security aspect. The workings of the system can be divided into two phases: phase one contains an RF transmitter and a receiver coupled with a central database; phase two contains a GSM modem with a unique SIM linked to the central data base via GSM network. In the first phase of the system, the RF transmitters are tagged to the objects of everyday use and have the capability to transmit signals and the paired receiver detects the transmission of the tagged object and stores its corresponding location in the central database. This is created specifically for information maintenance of the tagged objects, In the second phase of the system, a mobile phone is used to query the location of any tagged objects based on its availability in the vicinity, by sending a message to the SIM connected to a GSM modem. Object if present, the GSM modem fetches the location and other relevant information from the central database and encapsulates this information into a message which is sent back to the mobile device or phone that has requested the information.

scholarly journals Predicción de precios futuros de acciones representativas de la Bolsa Mexicana de Valores (Índice de Precios y Cotizaciones, IPC) mediante técnicas de inteligencia artificial

2020 ◽  
Author(s):  
◽  
Juan Andrés Martínez Escobar ◽  
Román Anselmo Mora Gutiérrez
Keyword(s):  
Stock Exchange ◽  
Multiple Linear Regression Model ◽  
Relevant Information ◽  
Future Price ◽  
Compact Set ◽  
Second Phase ◽  
Multi Objective ◽  
Relevant Variables ◽  
Objective Model ◽  
Two Phases

In this work, a new methodology is presented to analyze and predict the behavior of stocks of the Mexican Stock Market based on the synergistic concatenation of non-parametric statistical strategies and multi-objective optimization models. This methodology involves two phases. The first (filtering) leverages an automated process for the analysis, evaluation, and selection of the necessary and relevant information: for the characterization of the behavior of each action. The second (the model adjustment phase) involves adapting and solving a multi-objective model for the prediction of prices of the selected stocks. The database used in this work includes the behavior of twelve significant stocks in the Mexican stock exchange in the period 2006 to 2016, the source code used is available in “http://bit.ly/396h3J1”; the data was obtained from a specialized financial markets platform for Latin America. The numerical results show that the filtering phase can identify a compact set of relevant variables with a significant influence on the future price of each stock. In the second phase, the data from 2016 is used to predict the multi-objective model, that compared with the multiple linear regression model, provides a considerable improvement in the quality of the predicted observed data. The model generated from the second phase has reliability greater than 95%.

High order distribute circuit model of laminated busbars and its order reduction techniques for simulating fast turn-on and turn-off transients

2020 ◽  
Vol 64 (1-4) ◽  
pp. 473-482
Author(s):  
Ning Wang ◽  
Huifang Wang ◽  
Shiyou Yang
Keyword(s):  
Electronic Device ◽  
Order Reduction ◽  
Circuit Model ◽  
High Order ◽  
Second Phase ◽  
Frequency Model ◽  
Turn On ◽  
Reduction Techniques ◽  
Proposed Model ◽  
Two Phases

A high order distribute circuit model of a laminated busbar is proposed in order to accurately simulate the fast turn-on and turn-off transients of a modern power electronic device. In the model, the predominant stray parameters of the loop inductance and the stray capacitance are considered. Moreover, a model order reduction (MOR) technique using the zero-pole elimination technique is presented to combat the high complexity of the extremely computationally expensive circuit model. The MOR methodology is implemented in two phases. The first phase is to compute the reduced order frequency model. In the second phase, this reduced model is synthesized into a circuit model in a netlist representation (RLC elements), which can be integrated in any SPICE-like circuit solver. Finally, the proposed model and methodology are used to solve the transient performances of a prototype IGBT based inverter, showing excellent agreements with the experimental results.

scholarly journals An Image Fusion Method Based On Framelet Transform

2018 ◽  
Vol 9 (1) ◽  
pp. 60
Author(s):  
Patel Kalpana Dhanji ◽  
Santhosh Kumar Singh
Keyword(s):  
Image Fusion ◽  
Relevant Information ◽  
Second Phase ◽  
Fusion Method ◽  
Single Image ◽  
Transform Method ◽  
Frame Fusion ◽  
Two Phases ◽  
Image Fusion Method ◽  
Selection Of

<p>Image fusion is the process of combining relevant information from two or more images into a single image. The resulting image contains more information as compared to individual images. In this system, we are proposing a new image fusion method by using a technique called framelet transform. This method consists of two phases; First is the frame separation where the pre-processing and Selection of frames for both the images occurs and the second phase is the Frame fusion that is done by inverse framelet transform method is done from which a fused output images will be formed that will be containing both the information of the input images (CT &amp; MRI images).</p>

Accurate Detection and Quantization of Leaf- Diseases through Soft Computing

2018 ◽  
Vol 1 (1) ◽  
pp. 236-247
Author(s):  
Divya Srivastava ◽  
Rajitha B. ◽  
Suneeta Agarwal
Keyword(s):  
Machine Learning ◽  
Image Processing ◽  
Agricultural Production ◽  
Bacterial Blight ◽  
Early Stage ◽  
Second Phase ◽  
Computationally Efficient ◽  
Stage Of Disease ◽  
Accurate Detection ◽  
Two Phases

Diseases in leaves can cause the significant reduction in both quality and quantity of agricultural production. If early and accurate detection of disease/diseases in leaves can be automated, then the proper remedy can be taken timely. A simple and computationally efficient approach is presented in this paper for disease/diseases detection on leaves. Only detecting the disease is not beneficial without knowing the stage of disease thus the paper also determine the stage of disease/diseases by quantizing the affected of the leaves by using digital image processing and machine learning. Though there exists a variety of diseases on leaves, but the bacterial and fungal spots (Early Scorch, Late Scorch, and Leaf Spot) are the most prominent diseases found on leaves. Keeping this in mind the paper deals with the detection of Bacterial Blight and Fungal Spot both at an early stage (Early Scorch) and late stage (Late Scorch) on the variety of leaves. The proposed approach is divided into two phases, in the first phase, it identifies one or more disease/diseases existing on leaves. In the second phase, amount of area affected by the disease/diseases is calculated. The experimental results obtained showed 97% accuracy using the proposed approach.

Representação e simbolismo: artes visuais na fronteira Brasil/Bolívia

2020 ◽  
Vol 4 (3) ◽  
pp. 286
Author(s):  
Paulo César Antonini de Souza ◽  
Derick Trindade Bezerra
Keyword(s):  
Visual Arts ◽  
Social Order ◽  
Research Field ◽  
Border Region ◽  
Second Phase ◽  
Two Dimensional ◽  
Santa Cruz ◽  
Cultural Conditions ◽  
Two Phases ◽  
America Latina

ResumoTendo por campo de investigação o Festival da América do Sul Pantanal (FASP) em 2018, na cidade de Corumbá (Brasil), objetiva-se identificar a materialidade e conceitos que permeiam as manifestações artísticas bidimensionais nesta região de fronteira, a partir da percepção de artistas da Bolívia. A pesquisa se organizou em duas fases: na primeira foi realizado um levantamento em plataformas online de produções acadêmicas em artes visuais, com foco no trabalho bidimensional, utilizando os descritores “arte popular” e “estética latina” resultando em três artigos. Na segunda fase foram selecionados dois trabalhos de uma artista da Bolívia, participante da mostra “Conexão Santa Cruz”, realizada durante o FASP 2018, que foram analisados em seus níveis representacional e simbólico. Pela interpretação das imagens foi possível construir uma leitura sobre a perspectiva da artista a respeito de suas condições culturais dentro da ordenação social em que se encontra situada.Palavras-chave: Artes Visuais. Arte Popular. Arte Regional. América Latina. Representation and symbolism: visual arts on the Brazil/Bolivia frontierAbstractHaving as research field the Festival da América do Sul Pantanal (FASP) in 2018, in the city of Corumbá (Brazil), the objective is to identify the materiality and concepts that permeate the two-dimensional artistic manifestations in this border region, from the perception of artists from Bolivia. The research was organized in two phases: in the first, a survey was carried out on online platforms of academic productions in visual arts, focusing on two-dimensional work, using the descriptors “arte popular” and “estética latina” resulting in three articles. In the second phase, two works were selected by an artist from Bolivia, participating in the exhibition “Conexão Santa Cruz”, held during FASP 2018, which were analyzed at their representational and symbolic levels. Through the interpretation of the images, it was possible to construct a reading on the artist’s perspective regarding her cultural conditions within the social order in which she is located.Keywords: Visual Arts. Folk Art. Regional Art. Latin America.Representación y simbolismo: artes visuales en la frontera de Brasil/BoliviaResumenTeniendo como campo de investigación el Festival de Sudamérica Pantanal (FASP) en 2018, en la ciudad de Corumbá (Brasil), el objetivo es identificar la materialidad y conceptos que permean las manifestaciones artísticas bidimensionales en esta región fronteriza, desde la percepción de artistas de Bolivia. La investigación se organizó en dos fases: en la primera, se realizó una encuesta en plataformas online de producciones académicas en artes visuales, con foco en el trabajo bidimensional, utilizando los descriptores “arte popular” y “estética latina” dando como resultado tres artículos. En la segunda fase, dos obras fueron seleccionadas por un artista de Bolivia, participante de la exposición “Conexão Santa Cruz”, realizada durante FASP 2018, que fueron analizadas en sus niveles representativos y simbólicos. A través de la interpretación de las imágenes, fue posible construir una lectura sobre la perspectiva de la artista sobre sus condiciones culturales dentro del orden social en el que se ubica.Palabras clave: Artes Visuales. Arte Popular. Arte Regional. América Latina.

scholarly journals Development and validation of a short version of the Sarcopenia Quality of Life questionnaire: the SF-SarQoL

2021 ◽  
Author(s):  
A. Geerinck ◽  
C. Beaudart ◽  
J.-Y. Reginster ◽  
M. Locquet ◽  
C. Monseur ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Short Form ◽  
Reduction Process ◽  
Community Dwelling ◽  
Short Version ◽  
Second Phase ◽  
Life Questionnaire ◽  
Quality Of Life Questionnaire ◽  
Two Phases

Abstract Purpose To facilitate the measurement of quality of life in sarcopenia, we set out to reduce the number of items in the previously validated Sarcopenia Quality of Life (SarQoL®) questionnaire, and to evaluate the clinimetric properties of this new short form. Methods The item reduction process was carried out in two phases. First, information was gathered through item-impact scores from older people (n = 1950), a Delphi method with sarcopenia experts, and previously published clinimetric data. In the second phase, this information was presented to an expert panel that decided which of the items to include in the short form. The newly created SFSarQoL was then administered to older, community-dwelling participants who previously participated in the SarcoPhAge study. We examined discriminative power, internal consistency, construct validity, test–retest reliability, structural validity and examined item parameters with a graded response model (IRT). Results The questionnaire was reduced from 55 to 14 items, a 75% reduction. A total of 214 older, community-dwelling people were recruited for the validation study. The clinimetric evaluation showed that the SF-SarQoL® can discriminate on sarcopenia status [EWGSOP2 criteria; 34.52 (18.59–43.45) vs. 42.86 (26.56–63.69); p = 0.043], is internally consistent (α = 0.915, ω = 0.917) and reliable [ICC = 0.912 (0.847–0.942)]. A unidimensional model was fitted (CFI = 0.978; TLI = 0.975; RMSEA = 0.108, 90% CI 0.094–0.123; SRMR = 0.055) with no misfitting items and good response category separation. Conclusions A new, 14-item, short form version of the Sarcopenia Quality of Life questionnaire has been developed and shows good clinimetric properties.

scholarly journals SWIPT in mMIMO system with non-linear energy-harvesting terminals: protocol design and performance optimization

2019 ◽  
Vol 2019 (1) ◽  
Author(s):  
Kui Xu ◽  
Ming Zhang ◽  
Jie Liu ◽  
Nan Sha ◽  
Wei Xie ◽  
...  
Keyword(s):  
Energy Harvesting ◽  
Performance Optimization ◽  
Power Transmission ◽  
Base Station ◽  
Second Phase ◽  
Wireless Power ◽  
Half Duplex ◽  
Non Linear ◽  
Two Phases ◽  
And Performance

Abstract In this paper, we design the simultaneous wireless information and power transfer (SWIPT) protocol for massive multi-input multi-output (mMIMO) system with non-linear energy-harvesting (EH) terminals. In this system, the base station (BS) serves a set of uplink fixed half-duplex (HD) terminals with non-linear energy harvester. Considering the non-linearity of practical energy-harvesting circuits, we adopt the realistic non-linear EH model rather than the idealistic linear EH model. The proposed SWIPT protocol can be divided into two phases. The first phase is designed for terminals EH and downlink training. A beam domain energy beamforming method is employed for the wireless power transmission. In the second phase, the BS forms the two-layer receive beamformers for the reception of signals transmitted by terminals. In order to improve the spectral efficiency (SE) of the system, the BS transmit power- and time-switching ratios are optimized. Simulation results show the superiority of the proposed beam-domain SWIPT protocol on SE performance compared with the conventional mMIMO SWIPT protocols.

scholarly journals Development and Evaluation of Direct Paddy Seeder in Puddled Field

2021 ◽  
Vol 13 (5) ◽  
pp. 2745
Author(s):  
Manoj Kumar ◽  
Ritu Dogra ◽  
Mahesh Narang ◽  
Manjit Singh ◽  
Sushant Mehan
Keyword(s):  
Laboratory Testing ◽  
Field Evaluation ◽  
Row Spacing ◽  
Second Phase ◽  
Cell Type ◽  
Inclined Plate ◽  
Seed Damage ◽  
Two Phases ◽  
Almost All ◽  
Different Soils

Manual transplanting, a pre-dominant practice in almost all the paddy growing areas in India, is laborious, burdensome, and has many expenses on raising, settling, and transplanting nursery. The transplanting process’s limitations motivated the replacement of conventional paddy transplanting methods. The study was divided into two phases. The first phase included laboratory testing of three levels of metering mechanisms, namely cell type (M1) with 10 cells grooved around a circular plate having a 13 cm diameter, inclined plate (M2) containing 24 U shaped cells provided on an 18 cm diameter plate, and fluted roller (M3) with 10 flutes on a 5 cm diameter shaft. The testing matrix included a missing index, multiple index, and seed damage with forward speeds (2.5, 3.0, and 3.5 km/h), and pre-germination levels of 24 h soaked (P1), 24 h pre-germinated (P2), and 36 h pre-germinated paddy seeds (P3)). The second phase included selecting the best combination obtained from the laboratory study and developing a new efficient planter for the puddled field. The inclined plate metering mechanism operating at 2.5 km/h for 24 h pre-germinated seeds was reported most efficient from the first phase. Therefore, a self-propelled 8-row planter equipped with an inclined plate metering mechanism having a row-to-row spacing of 22.5 cm was developed, fabricated, and evaluated in the puddled field. The designed planter was assessed on two different soils: sandy loom (ST1) and clay loom (ST2) and at two different hopper fill levels as ½ filled hopper (F1) and ¾ filled hopper (F2). The number of plants per square meter and hill-to-hill spacing was measured. The on-field evaluation revealed that the number of plants per square meter was non-significantly affected by the type of soil but was significantly affected by hopper fill.

scholarly journals XCOVNet: Chest X-ray Image Classification for COVID-19 Early Detection Using Convolutional Neural Networks

2021 ◽  
Author(s):  
Vishu Madaan ◽  
Aditya Roy ◽  
Charu Gupta ◽  
Prateek Agrawal ◽  
Anand Sharma ◽  
...  
Keyword(s):  
Image Classification ◽  
Second Phase ◽  
Two Phase ◽  
X Ray ◽  
The Neural Network ◽  
Rapid Spread ◽  
Chest X Ray ◽  
Polymerase Chain ◽  
Two Phases ◽  
Active Patients

AbstractCOVID-19 (also known as SARS-COV-2) pandemic has spread in the entire world. It is a contagious disease that easily spreads from one person in direct contact to another, classified by experts in five categories: asymptomatic, mild, moderate, severe, and critical. Already more than 66 million people got infected worldwide with more than 22 million active patients as of 5 December 2020 and the rate is accelerating. More than 1.5 million patients (approximately 2.5% of total reported cases) across the world lost their life. In many places, the COVID-19 detection takes place through reverse transcription polymerase chain reaction (RT-PCR) tests which may take longer than 48 h. This is one major reason of its severity and rapid spread. We propose in this paper a two-phase X-ray image classification called XCOVNet for early COVID-19 detection using convolutional neural Networks model. XCOVNet detects COVID-19 infections in chest X-ray patient images in two phases. The first phase pre-processes a dataset of 392 chest X-ray images of which half are COVID-19 positive and half are negative. The second phase trains and tunes the neural network model to achieve a 98.44% accuracy in patient classification.

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