La producción avícola está considerada una de las mayores fuentes de proteína animal necesarias en la dieta de los seres humanos. Los productores deben localizarmaterias primasde calidad que abaraten los costos de producciónen la alimentación de los pollos.La conocida planta acuática lenteja de agua,Lemna minor, crece bien en zonas húmedas,agua estancada o circulante y posee un elevado por ciento de proteínapor lo que puede ser una posible materia prima alternativa.El objetivo del presente trabajofue evaluaríndicesdeproducciónenpollosbroiler alimentadosconlentejade aguacomo reemplazo delalimentobalanceado comercial.Con un diseño estadístico completamenteal azar, 160 pollos broiler de un día de edad fueron distribuidos homogéneamente en trestratamientos de reemplazo al 5% (T1), 10% (T2) y 15% (T3) y un testigo (T4) solo balanceado comercial,con4repeticionescadauno y10unidades demuestreo porrepetición y sacrificados a las seis............

Key words: Índice de conversión, peso vivo, consumo de alimento, materia prima

[1]. Acres-Arbor. (2009). Guía de Manejo del Pollo de Engorde. Obtenido de http://es.aviagen.com/assets/Tech_Center/BB_Foreign_Language_Docs/Spanish_TechDocs/smA-Acres-Guia-de-Manejo-del-Pollo-Engorde-2009.pdf
[2]. ACUAFEED, I. (2016). Lenteja de agua: proteína sustentable para el futuro. Revista online de Acuacultura. CubaNova.
[3]. Arroyave, M. d. (2004). La Lenteja de Agua (Lemna minor L.): una planta acuatica promisoria. Rev. EIA. Esc. Ing. Antioq, Envigado, Colombia(1), 33-38. Obtenido de http://www.redalyc.org/pdf/1492/149217763003.pdf
[4]. Canales, A. (2010). Evaluación de la biomasa y manejo de Lemna gibba (Lenteja de agua) en la Bahía interior del lago Titicaca, Puno. Ecología Aplicada, 9 (2), 2010. ISSN 1726-2216. Obtenido de http://www.scielo.org.pe/scielo.php?pid=S1726-22162010000200004&script=sci_abstract
[5]. Espejo, A., Sánchez, R., González, R., Silva, A., Vargas, A., Merchán, P., & Nouel, G. (2006). Producción de biomasa de la lenteja de agua (lemna minor), fertilizada con estiercol de ovinos. Obtenido de www.bioline.org.br/pdf?la06014: http://www.bioline.org.br/pdf?06014

Pose estimation in computer vision, detects the position and orientation of objects. Usually this means detecting key point locations that describe the object. The aim is to focus on human pose estimation where it is required to detect and localize the major part or joint of the body (e.g shoulder, neck). Present day in computer vision it scans whole body of a person in audiovisual successions. This work describes specifically assessing the 3D posture of a kinematic model of the homo body from pictures. It detects the 3D pose of multiple people in an image. This approach uses a non para metrices presentation technique, which refers a of Part Affinity Fields(PAFs), to learn associate body parts from the detected image. It maintains high accuracy while achieving real time performance............

Key words: Posture estimation, Cloud management's Deep Lens

[1]. Y. Chen, C. Shen, X.-S.Wei, L. Liu, and J. Yang. Adversarial posenet: A structure-aware convolutional network for human pose estimation. CoRR, abs/1705.00389, 2, 2017.
[2]. H.-S. Fang, S. Xie, Y.-W. Tai, and C. Lu. RMPE: Regional multi-person pose estimation. In ICCV, 2017.
[3]. R. Girdhar, G. Gkioxari, L. Torresani, M. Paluri, and D. Tran. Detect-and-track: Efficient pose estimation in videos. ArXiv preprint arXiv:1712.09184, 2017.
[4]. A Framework for Homo Pose Estimation in Audiovisiuals Dong Zhang and Mubarak Shah
[5]. Fast Homo Pose Estimation Feng Zhang1 Xiatian Zhu2 Mao Ye1

In today's modern era of the internet, a large number of people share their opinions on websites, social media, blogs and discussion forum. The opinions can be about services, events, people, organizations, products, and their attributes. Meaningful information can be derived from such data using sentiment analysis. Sentiment Analysis analyses people's thoughts, attitudes and feelings from their posting. The goal is to analyze the data and then categorize it as either positive, negative or neutral. This analysis is very beneficial for individuals, businesses, and even governments. This paper presents an outline of sentiment analysis along with a comprehensive survey of its methods, challenges and current applications.

Key words: Sentiment analysis,Opinion mining, Movie review, Machine learning, Lexicon based, Hybrid.

[1]. Boiy, E. Hens, P., Deschacht, K. &Moens, M.F (2007), "Automatic Sentiment Analysis in Online Text," In Proceedings of the Conference on Electronic Publishing, pp. 349-360, 2007.
[2]. Bing Liu (2012), Sentiment Analysis and Opinion Mining, Morgan & Claypool Publishers.
[3]. Ms.A.M.Abirami,Ms.V.Gayathri (2016), A survey on sentiment analysis methods and Approach, IEEE Eighth International Conference on Advanced Computing (ICoAC),978-1-5090-5888-4
[4]. Wiebe, J.; Bruce, R.; and O'Hara, T. (1999), Development and use of a gold standard data set for subjectivity classifications. In Proc. 37th Annual Meeting of the Assoc. for Computational Linguistics (ACL-99), 246–253. University of Maryland: ACL.
[5]. Priyavrat, A. J Singh (2017), Sentiment Analysis: A Comparative Study of Supervised Machine Learning Algorithms Using Rapid miner, International Journal for Research in Applied Science & Engineering Technology (IJRASET) ISSN: 2321-9653; IC Value: 45.98; SJ Impact Factor:6.887 Volume 5 Issue XI, November 2017.

The fuzzy set theory has been applied in many fields such as Management, Engineering etc. In this paper we evaluate system reliability in which the lifetimes of components are described using a fuzzy exponential distribution where formula of a fuzzy reliability function and its α – cut set are presented. The fuzzy reliability of structures is defined on the basis of hexagonal fuzzy number. Using the concept of α-cut of hexagonal fuzzy number, the fuzzy reliability functions of k-out-of-m system, series system, parallel systems
and their fuzzy mean time to failure are discussed respectively. Finally, some numerical examples are presented to illustrate how to calculate the fuzzy reliability and its α-cut of FMTTF.

Key words: Fuzzy Reliability, Fuzzy Exponential Distribution, Survival Function, Fuzzy Mean Time To Failure.

[1]. J. J. Buckley, Fuzzy probability and statistics, Springer-Verlage Berlin Heidelberg,3(2), 2006, 87-92.
[2]. K. Y. Cai, C. Y. Wen and M. L. Zhang, Fuzzy variables as a basis for a theory of fuzzy reliability in the possibility context, Fuzzy Sets and Systems, 42(2), 1991, 145-172.
[3]. Chen, S. M. (1994). Fuzzy system reliability analysis using fuzzy number arithmetic operations. Fuzzy Sets and Systems, 64(1), 31-38.
[4]. S. M. Chen, New method for fuzzy system reliability analysis. Cybernetics and Systems: An International Journal, 27(2), 1996, 385-401.

With enormous growth of security and surveillance system, a huge amount of video data is being generated every day. It is immense challenge for researcher to search and retrieve human face of interest from video. The proposed work is inspired from the same issue in concern with analyzed by approach and application. It would be the future demand for searching, browsing, and retrieving human face of interest from video database for several applications. To understand and satisfy the future demands, proper analysis and evolution of approach is the necessity of time. The objective of this paper is to analyze the available human face retrieval approaches and methods in various media files............

Key words: face retrieval, face recognition, face detection, face tracking.

[1]. Ming-Hsuan Yang, David J. Kriegman and Narendra Ahuja, Detecting Faces in Images: A Survey, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 24, NO. 1,pp-36-58, JANUARY 2002.
[2]. Xinzhu Wang ,Yantao Tian, Shuaishi Liu, Jinsong Li, Cheng Peng ,Face Detection and Tracking Algorithm in Video Images with Complex Background, Proceedings of the 2010 IEEE International Conference on Robotics and Biometrics ,pp.- 1206-1211, December 14-18, 2010.
[3]. Ukil Yang, Minsung Kang, Kar-Ann Toh and Kwanghoon Sohn, An Illumination invariant skin-color model for face detection, Proceedings of the IEEE International Conference, 2010.
[4]. Lutz Goldmann, Ullrich J. Mönich and Thomas Sikora, Components and Their Topology for Robust Face Detection in the Presence of Partial Occlusions, IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, VOL.2, NO.3, pp-559-569, SEPTEMBER 2007.
[5]. WU Lushen, WU Peimin, MENG Fanwen, A Fast Face Detection for Video Sequences, IEEE Second International Conference on Intelligent Human-Machine Systems and Cybernetics, pp-117-120, 2010.

A nonlinear pulse width modulation-controlled single-phase boostmode photovoltaic grid-connected inverter with limited storage inductance current is proposed in this paper. The circuit topology, control strategy, steady-state principle characteristic, and design criterion for the key circuit parameters of this kind of inverter are investigated in depth, and important conclusions are obtained. The inverter's regenerating energy duty ratio 1–D which decreases with the decline of the grid-connected voltage is real time adapted by sampling and feeding back the inverting bridge modulation current, and the average value of the modulation current in each switching cycle tracks the reference sinusoidal signal to get high-quality grid-connected current. The active control of the energy storage inductance current and the balance of the voltage step-up ratio are realized by adding a bypass switch connected inparallel with the energy storage inductance and using two kinds of switching pattern namely boost pattern and freewheeling pattern.

Key words: Boostmode, limitedstorageinductancecurrent, nonlinear pulse width modulation (PWM) control, photovoltaic (PV) grid-connected inverter, single-phase.

[1]. M. K. Nguyen, T. V. Le, S. J. Park, and Y. C. Lim, "A class of quasiswitched boost inverters," IEEE Trans. Ind. Electron., vol. 62, no. 3, pp. 1526–1536, Jul. 2015.
[2]. S. S. Nag and S. Mishra, "Current-fed switched inverter," IEEE Trans. Ind. Electron., vol. 61, no. 9, pp. 4680–4690, Nov. 2014.
[3]. B. Singh, C. Jain, and S. Goel, "ILST control algorithm of single-stage dual purpose grid connected solar PV system," IEEE Trans. Power Electron., vol. 29, no. 10, pp. 5347–5357, Dec. 2014.
[4]. Y. Tang, X. Dong, and Y. He, "Active buck-boost inverter," IEEE Trans. Ind. Electron., vol. 61, no. 9, pp. 4691–4697, Dec. 2014.
[5]. J.R. Espinoza and G. Joos, "Acurrent-source-inverter-fed inductionmotor drive system with reduced losses," IEEE Trans. Ind. Appl., vol. 34, no. 4, pp. 796–805, Aug. 1998.

Breast Cancer is a malignant Tumor (a collection of cancer cells) that arises from the cells of breast. In all over the world it is a major health issue. In this paper a model is described for the classification of malignant and benign breast cancer cells. In this model Gaussian filter is used for noise reduction and smoothening. The Gaussian filter is applied on two parameters of a feature. After the filtering, the normalized values of the parameters are produced. The produced result is classified using SVM classifier. The proposed method uses SVM classifier with the combination of Gaussian filter.

Key words: Breast Cancer, Gaussian Filter, Histopathological, Support Vector Machine.

[1]. Yuqian Li, Junmin Wu, Qisong Wu, "Classification of Breast Cancer Histology Images Using Multi-Size and Discriminative Patches Based on Deep Learning". IEEE Access, Vol. 7, pages 21400 – 21408, 2019.
[2]. Sara Reis, Patrycja Gazinska, John H. Hipwell, "Automated Classification of Breast Cancer Stroma Maturity from Histological Images" IEEE Transactions on Biomedical Engineering DOI 10.1109/TBME.2017.2665602
[3]. Fabio A. Spanhol, Luiz S. Oliveira, Caroline Petitjean, Laurent Heutte "A Dataset for Breast Cancer Histopathological Image Classification". IEEE Transactions on Biomedical Engineering, vol. 64, 2017.
[4]. Tooba Salahuddin, Fatima Haouari, Fahad Islam, Rahma Ali, Sara Al-Rasbi, Nada Aboueata, Eman Rezk, Ali Jaoua, "Breast cancer image classification using pattern-based Hyper Conceptual Sampling method", Elsevier Informatics in Medicine Unlocked, Vol. 13, Pages 176-185, 10 July 2018.
[5]. Xingyu Li, Marko Radulovic, Ksenija Kanjer, Konstantinos N. Plataniotis, "Discriminative Pattern Mining for Breast Cancer Histopathology Image Classification via Fully Convolutional Autoencoder", IEEE Access, vol. 7, pages 36433 – 36445, 2019.

Microstrip Patch Antenna (MPA) is generally used in modern communication devices, and a large part of day-to-day communication is done through it. Study of the literature of past few year shows that, the progressing work on MPA is focused on designing compact sized broadband microstrip antenna. But inherently MPA have narrow bandwidth, so to enhance bandwidth various techniques are used. This review paper describes some commonly engaged techniques to fabricate MPA with broader-bandwidth since last few decades. One of the advantages of microstrip patches over conventional antennas is their small size. However, there are many present day applications where even these small radiators are too large...........

Key words: Compact patch, Pin loading, S-shaped impedance matching network with planar meta-material unit cell, Conductive .

[1]. Nasser Ojaroudi*, Mohammad Ojaroudi, and Yaser Ebazadeh "UWB/Omni-Directional Microstrip Monopole Antenna for Microwave Imaging Applications ".Progress In Electromagnetics Research C, Vol. 47, 139- 146, 2014.
[2]. A.Kasinathan, Dr.V.Jayaraj,M.Pachiyaannan," E-Shape Microstrip Patch Antenna Design for Wireless Applications" IJISET - International Journal of Innovative Science, Engineering & Technology, Vol. 1 Issue 3, May 2014.
[3]. T.Suganthi1, Dr.S.Robinson2, G.Kanimolhi3, T.Nagamoorthy4" Design and Analysis of Rectangular Microstrip Patch Antenna for GSM Application" IJISET - International Journal of Innovative Science, Engineering & Technology, Vol. 1 Issue 2, April 2014.
[4]. Darshana R. Suryawanshi, Prof. Bharati A. Singh,A Compact Rectangular Monopole Antenna with Enhanced Bandwidth, IOSR Journal of Electronics and Communication Engineering (IOSR-JECE), Volume 9, Issue 2, Ver. VII (Mar - Apr. 2014), PP 54-57.
[5]. Xingyu Li, Marko Radulovic, Ksenija Kanjer, Konstantinos N. Plataniotis, "Discriminative Pattern Mining for Breast Cancer Histopathology Image Classification via Fully Convolutional Autoencoder", IEEE Access, vol. 7, pages 36433 – 36445, 2019.

Stainless steel is the category of containing approximately equal amounts of ferrite and austenite. They have desirable properties of both austenitic and ferritic stainless steels, such as low temperature toughness, high tensile strength and excellent resistance to corrosion, particularly chloride stress corrosion cracking). Consequently, they are used increasingly as alternatives to austenitic stainless steels, especially in chloride or sulphide environments, for example, in the manufacture of pipelines for transportation of oil and gas. However, one of the limitations in using these grade steels is as welded components, where poor welding has induced adverse microstructural features and consequently increased the susceptibility to various forms of corrosion such as stress corrosion cracking and intergranular corrosion........

Key words: SS-316L, GTAW, SEM

[1]. Alvarez-Armas, I. (2008) "Stainless steels: brief history and some recent alloys", Journal of Mechanical Engineering, Vol.1 pp51-67.
[2]. B.S. Mann and V. Arya, Abrasive and Erosive Wear Characteristics of Plasma Nitriding and HVOF Coatings: Their Application in Hydro Turbines, Wear, 2001, 249, pp 354–360
[3]. HamedTasallotiKashani, Paul Kah, JukkaMartikainen "Laser overlap welding of zinc-coated steel on aluminum alloy" 15th Nordic Laser Materials Processing Conference, Nolamp 15, 25-27 August 2015, Lappeenranta, Finland pp 565-571. [4]. Miller Electric (2013) "Guidelines For Gas Tungsten Arc Welding (GTAW)", December 2015 pp 1-24
[5]. Practical guidelines for the fabrication duplex stainless steels, International Molybdenum Association, 2001

Blockchain is a nifty breakthrough in the field of computer technology, that spans over the varied components that bricks up the wired web and transpires as the new hysteria in the digital world of revolution. The novel approach of Bitcoin is an intuitive paradigm shift of the conventional modus operandi of cryptocurrency and digital cash. This paper unravels the niceties woven around the working of the Blockchain and focuses in detail the meticulous functionality of the Bitcoin mining that builds the chain of blocks agreed in a consensus. The global community of inclusion, an invitation to participate in an open world free of centralized authority and dominion, ruling out the prevalence and interdependence of the middle intermediaries is the core constraints that mitigate the elaboration............

Key words: Blockchain, Bitcoin Mining, Proof of Work, Proof of Stake, Smart Contracts, Distributed Cryptocurrency, DAO, Consensus Algorithms, Applications of Blockchain.

[1]. Narayanan, A., & Clark, J. (2017). Bitcoin's academic pedigree. Communications of the ACM, 60(12), 36-45.

[2]. Nakamoto, S. (2008). Bitcoin: A peer-to-peer electronic cash system Garay, J., Kiayias, A., & Leonardos, N. (2015, April). The Bitcoin backbone protocol: Analysis and applications. In Annual International Conference on the Theory and Applications of Cryptographic Techniques (pp. 281-310). Springer, Berlin, Heidelberg.

[3]. Garay, J., Kiayias, A., & Leonardos, N. (2017, August). The Bitcoin backbone protocol with chains of variable difficulty. In Annual International Cryptology Conference (pp. 291-323). Springer, Cham.

[4]. Bonneau, J., Miller, A., Clark, J., Narayanan, A., Kroll, J. A., & Felten, E. W. (2015, May). Sok: Research perspectives and challenges for Bitcoin and cryptocurrencies. In 2015 IEEE Symposium on Security and Privacy (pp. 104-121). IEEE.

[5]. Pass, R., Seeman, L., & Shelat, A. (2017, April). Analysis of the Blockchain protocol in asynchronous networks. In Annual International Conference on the Theory and Applications of Cryptographic Techniques (pp. 643-673). Springer, Cham.