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Abstract: Telemedicine for multiple patients monitoring has been developed as a monitoring system to monitor the status of patient’s health. Real time multiple patients monitoring system (RTMPMS) is applied in areas where real-time vital function analysis takes place. A state-of-the-art, PC and arduino based, integrated, low-cost, small, portable, low power consumption, ZigBee communication with health monitoring system and alarm system has been studied in this paper. Human’s body temperature, electrocardiogram (ECG) and heart rate information have been acquired and sent to a computer using ZigBee communication. The system in this paper will monitor three patients simultaneously by one computer through multiple Xbee transceivers. The graphical user interface (GUI) has been set up to display/store the body temperature reading, ECG data, pulse rate information in real time and patients records using LabView. The user interface has alarm system which will be activated if one parameter increased the range. The open architecture system design offers scalability, standard interfaces, flexible signal interpretation possibility and effective monitoring system. This system shows how arduino with the computer through ZigBee can be feasible in patient monitoring and patient data retrieval. Through this way, real-time remotely monitoring is achieved.

Keywords: Cost, Health Care, Real Time, RTMPMS, System, ZigBee. 

References:

1. Gardner R.M., Shabot M.M. (2006) Patient-Monitoring Systems. In: Shortliffe E.H., Cimino J.J. (eds) Biomedical Informatics. Health Informatics. Springer, New York, NY. pp 585-625.
2. SYED, M.J. (2009). IP Based Patient Monitoring Systems (Master's thesis, University of Boras, Sweden). Retrieved from http://bada.hb.se/bitstream/2320/6166/1/Jafri.pdf.
3. Chalfin D, Trzeciak S, Likourezos A, Baumann B, Dellinger R (2007) Impact of delayed transfer of critically ill patients from the emergency department to the intensive care unit. Crit Care Med 35(6): 1477–83.
4. Rogers A, Dean G, Hwang W, Scott L (2008) Role of registered nurses in error prevention, discovery and correction. Qual Saf Health Care 17(2): 117–21.
5. Sirisha B., Shraddha T., Vijayanand K.: ‘Real-time multi-patient monitoring system using ARM and wireless sensor network’, Int. J. Commun. Netw. Secur., 2013, 2, (2), pp. 41–47, ISSN: 2231–1882
6. B Kaur, Anantdeep Kaur (May 2016) 'Compressed sensing of ECG signals through zigbee sensor networks', International Research Journal of Engineering and Technology (IRJET), 03(05), pp. 2160-2163.
7. Kanchan Kaushal;Taranvir Kaur;Jaspinder Kaur,” ZigBee based Wireless Sensor Networks.” (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 5 (6) , 2014, 7752-7755
8. B Kaur, Anantdeep Kaur (2016) 'A brief review: ECG based health monitoring system through zigbee sensor networks', Imperial Journal of Interdisciplinary Research (IJIR), 2(6), pp. 192-195.
9. M. Karantonis, M.R. Narayanan, M. Mathie, N.H. Lovell and B.G. Celler (Jan. 2006) 'Implementation of a real-time human movement classifier using a triaxial accelerometer for ambulatory monitoring', IEEE, 10(1), pp. 156 - 167.
10. Xiaoliang Wang ; Qiong Gui ; Bingwei Liu ; Zhanpeng Jin et al (2014), “Enabling Smart Personalized Healthcare: A Hybrid Mobile-Cloud Approach for ECG Telemonitoring”, IEEE Journal of Biomedical and Health Informatics, Vol. 18, No. 3, May, pp. 739 – 745
11. Dunsmuir, D., Payne, B. ; Cloete, G. ; Petersen, C.(2014), “Development of m-Health Applications for Pre-eclampsia Triage”, IEEE Journal of Biomedical and Health Informatics, Vol. PP, No. 99, January , pp. 2168-2194
12. Bin Yu, Lisheng Xu, Yongxu Li, " Bluetooth Low Energy (BLE) Based Mobile Electrocardiogram Monitoring System", in the Proceedings of the IEEE International Conference on Information and Automation Shenyang, China, June 2012, pp. 763-767.
13. Ospino, M.R. ; Ariza, L.C. ; Rojas, J.G., (2012), ”Mobile system for monitoring measurements in hypertensive patients”, In the proceedings of the IEEE Colombian Communication conference, May 16-18, CA, pp. 1-6
14. Moreira, H. ; Oliveira, R. ; Flores, N.(2013), “STAlz: Remotely supporting the diagnosis, tracking and rehabilitation of patients with Alzheimer's”, In the Proceedings of the 15th IEEE Conference on E-health Networking, Applications, and Services, October 9-12, Lisbob, pp. 580-584
15. Parane, K.A., Patil, N.C. ; Poojara, S.R. ; Kamble, T.S(2014) “Cloud based Intelligent Healthcare Monitoring System”, In the proceedings of International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT), February 7-8, Ghaziabad, Indian, pp. 697-701
16. Ruipeng Gao ; Liqiong Yang ; Xinyu Wu ; and Tao Wang, (2012) “A phone-based e-health system for OSAS and its energy issue”, In the proceedings of the International Symposium on Information Technology in Medicine and Education, August 3-5, 2012, Hokodate, Hokkaido, pp. 682-696
17. Lee, Y.D. and Chung, W.Y. (2009) “Wireless Sensor Network Based Wearable Smart Shirt for Ubiquitous Health and Activity Monitoring”, Sensors and Actuators B: Chameical, Vol. 140, No. 2, July, pp. 390-395
18. https://store.arduino.cc/usa/arduino-nano
19. Ata Elahi, Adam Gschwender (2009) ZigBee Wireless Sensor and Control Network, 1st edn., Prentice Hall Communications Engineering and Emerging Technologies Series from Ted Rappaport: Prentice Hall.
20. https://www.mouser.com/pdfdocs/ds_xbee-3-zigbee-3updateddatasheet.pdf
21. https://www.sparkfun.com/pages/xbee_guide

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Abstract: The purpose of this study was to describe the mathematical communication abilty of grade VII students after they were in Mathematics learning in the classroom using media in the form of three-dimensional teaching materials. The method used in this study is a descriptive qualitative method with research subjects in grade VII students in building material that includes: Beams, Cubes, Pyramid, Prisms, Cones, Tubes, and Balls. The auxiliary instruments in this study were interview sheets, and the problem of mathematical communication test. From the results of the analysis of the answers and the results of interviews with the subjects, it can be concluded that: (1) students with high mathematical communication abilities meet all the existing indicators, namely the ability to write about stories or events in everyday life into mathematical models, the ability to explain ideas mathematically both verbally and in writing, and the ability to pour mathematical ideas into pictures; (2) students with moderate mathematical communication abilities are fulfilling two indicators from three indicators, namely: the ability to write questions about stories or events in everyday life into mathematical models, and the ability to explain mathematical ideas orally and in writing; (3) students with low mathematical communication skills only fulfill one indicator, namely the ability to write questions about stories or events in everyday life into mathematical models. 

Keywords: Mathematical Communication Ability, Junior High School, Teaching Material, Three Dimentional, Three Dimentional Shape

References:

1. Baroody, A. J. (1993). Problem Solving, Reasoning, and Communicating. New York: MacMillan.
2. Baxter, R., Hastings, N., Law, A., & Glass, E. J. . (2008). [ NCTM 2000 ]. Animal Genetics (Vol. 39).
3. Cai, J., Jakabcsin, M. S., & Lane, S. (1996). Assessing Students’ Mathematical Communication. School Science and Mathematics, 96(5), 238–246. https://doi.org/10.1111/j.1949-8594.1996.tb10235.x
4. Cobb, P. (2015). Where is The Mind Constructivitist and Sociocultural Perspectives on Mathematical Development. JSTOR, 23(7), 13–20. Retrieved from http://www.jstor.org/stable/1176934
5. Cuoco, A. (n.d.). [Al_Cuoco]_Mathematical_Connections_A_Companion_f(BookFi).pdf
6. Date, P. U. B., Type, P. U. B., Cit, J., & Price, E. (1996). Document resume.
7. Hidayat, W., & Sumarmo, U. (2013). Kemampuan Komunikasi dan Berpikir Logis Matematik serta Kemandirian Belajar: Eksperimen terhadap Siswa SMA Menggunakan Pembelajaran Berbasis dan Strategi Think-Talk-Write. Delta-Pi: Jurnal Matematika Dan Pendidikan Matematika, 2(1), 1–14.
8. Qohar, A., & Sumarmo, U. (2013). Improving Mathematical Communication Ability and Self Regulation Learning Of Yunior High Students by Using Reciprocal Teaching. IndoMS J.M.E, 4(1), 59–74. Retrieved from http://www.jims-b.org/
9. Smieskova, E. (2017). Communication Students’ Skills as a Tool of Development Creativity and Motivation in Geometry. Universal Journal of Educational Research, 5(1), 31–35. https://doi.org/10.13189/ujer.2017.050104

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Abstract: The present work shows the design of an energy detector, which is intended to measure the energy contained in FM radio frequency signals in the city of Loja generating prior information for the possible action of a Cognitive Radio transmission system (RC ) in that band. The computer tool used to achieve the proposed design is MATLAB. For its operation and interaction with the FM electromagnetic environment, previous data derived from the spectral evaluation carried out in preliminary studies executed within the reference city are included. At the end of the work, a view of the behavior of the detector with real signals is obtained, allowing to obtain detailed data that evidences the spectral underutilization in this communication band opening possibilities of spectral optimization through RC.

Keywords: Spectrum, Energy, Radio, Cognitive, Frequency 

References:

1. Youngblood, “A Software-Defined Radio for the Masses, Part 1”, The National Association for Amateur Radio, November 2002.
2. F. Vega, “Evaluación del Espectro Electromagnético VHF/UHF en parroquias Urbanas y Rurales del Cantón Loja para el despliegue de Sistemas de Rado Cognitiva”, Tesis de Maestría, ESPE, Quito, 2013.
3. M. Wyglinski, M. Nekovee, Y. T. Hou, “When radio meets software, ”. in Cognitive Radio Communications and Networks. Principles and Practice, A. M. Wyglinski, M. Nekovee, Y. T. Hou, Ed. Elsevier: USA, 2010, pp. 1-13.
4. A. Fette, “History and Background of Cognitive Radio Technology, ”. in Cognitive Radio Technology, B. A. Fette, Ed. Elsevier: USA, 2006, pp. 1-28.
5. D. Cereceda, “Diseño y evaluación de un detector de Energía para señales FM wireless Microphone en Radio Cognitiva”, Proyecto final de carrera, Dep. Tecnologías de la Información y las Comunicaciones, Universidad Politécnica de Cartagena, Cartagena, 2011.
6. H. Aguilar, A. Navarro, “Radio cognitiva – Estado del arte”, Revista Sistemas y Telemática vol. 9, pp. 31-50, Mar. 2011.
7. Zhao, A. Swami, “Spectrum sensing and identification, ”. in Cognitive Radio Communications and Networks. Principles and Practice, A. M. Wyglinski, M. Nekovee, Y. T. Hou, Ed. Elsevier: USA, 2010, pp. 85-109.
8. T. Malavia, “Detección de Señal Basada en Cicloestacionariedad para Radio Cognitiva”, Proyecto final de carrera, Dep. de Teoría de Señal y Comunicaciones, Universitat Politècnica de Catalunya, Barcelona, 2009.
9. Ley de Radiodifusión y Televisión de la República del Ecuador. Última modificación: 13 de Octubre del 2011.
10. Tomasi, “Introducción a las Comunicaciones Electrónicas,”. en Sistemas de Comunicaciones Electrónicas, W. Tomasi, Ed. Pearson Educación: México, 2003, pp. 1-50.
11. Tomasi, “Propagación de las Ondas Electromagnéticas,”. en Sistemas de Comunicaciones Electrónicas, W. Tomasi, Ed. Pearson Educación: México, 2003, pp. 347-370.

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Abstract: Friction stir welding (FSW) is a novel solid state welding process for joining metallic alloys and has emerged as an alternative technology used in high strength alloys that are difficult to join with conventional techniques and which avoids bulk melting of the basic material, hot cracking and porosity. The function of FSW process are used in several industries such as aerospace, rail, automotive and marine industries for joining aluminum, magnesium and copper alloy. In aerospace industries most of the component is manufactured with aluminum material by welding process. Aluminum welding cannot be done by conventional process because temper characteristics of material will be changed. To overcome this drawback, friction stir welding process is selected. To investigate the effect of welding parameters and different tool pin profiles over Friction Stir Welding of dissimilar AA 6061 and AA 7175 and also compare single pass friction stir welding and multi pass friction stir welding. The parameters considered were tool rotation speed, welding speed, tool pin profiles, tilt angle and number of passes. Different tool pin profiles are threaded triangular, threaded cylindrical, threaded hexagonal and threaded taper pin profiles plays a vital responsibility in deciding the weld quality. This work includes tensile tests, hardness test and impact test.

Keywords: (FSW) The function of FSW process are used in several industries such as aerospace, rail, 

References:

1. Bharathi, P. Ganesh (2014), ‘The influence of multipass friction stir welding on the micro structural and mechanical properties of dissimilar aluminium alloys’, IOSR journal of mechanical and civil engineering, e - ISSN: 2278 – 1684, pp 33-36
2. Chandan Deep Singh, Ripandeep singh (2014) ‘Effect of FSW Multi pass on Microstructure and Impact Strength of AL6063’, American International Journal of Researchin Science, Technology, and Engineering & Mathematics (AIJRSTEM).
3. Sadeesh Pa, Venkatesh Kannan Ma, Rajkumar Va, Avinash Pa, Arivazhagan Na, Devendranath Ramkumar Ka, Narayanan Sa (2013) ‘Studies on Friction Stir Welding of AA 2024 and AA 6061 Dissimilar Metals. International Conference on Materials for Advanced Technologies (ICMAT2013), Symposium W’ - Advanced Structural and Functional Materials for Protection, pp 145-149
4. Magdy M. El-Rayes and Ehab A. El-Danaf, (2012), ‘The influences of multi-pass friction stir processing on the microstructural and mechanical properties of Aluminium alloy 6082’, in the journal of Material processing technology, Vol 212, PP 1157-1168
5. R Rai, A De, H Bhadeshia, T DebRoy (2011) ‘Review: friction stir welding tools, Science and Technology of Welding and Joining’, Science andtechnology of welding joining, Vol 16. pp 325-342.
6. Elangovan K and Balasubramanian (2008) ‘Influences of tool pin profile and welding speed on the formation of friction stir processing zone in AA2219 aluminium alloy’, In the journal of material processing and technology, Vol 200, PP 163-175

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