Conference Paper
BibTex RIS Cite

İnsani Yardım, Özgür ve Açık Kaynak Kodlu Yazılım Projeleri (İÖAKK)

Year 2021, Volume: 3 Issue: 1, 72 - 75, 30.04.2021

Hıdır Selçuk T. Çetin Akıncı Şahin Serhat Şeker

https://doi.org/10.47769/izufbed.860010

Abstract

İnsani yardım amacıyla açık kaynak kodlu yazılım platformları projelendirildiğinde biç ok topluma yararlı yazılım ve programlar ortaya çıkmaktadır. Engelliler için erişilebilirlik, afet durumlarında kriz yönetimi, sağlıkla ilgili vb konularda açık kaynak kodlu yazılıp platformları insani yardım amacıyla geliştirilebilir. Bu geliştirme sürecinde de üniversite öğrencilerinden yararlanılabilir. Üniversitelerin ilgili bölümünde okuyanlar için İÖAKK projeleri hem yazılım tecrübelerini ve mesleki bilgilerini geliştirme fırsatı hem de sosyalleşme ve toplumun çıkarları için iş yapma fırsatı sağlanmış olur. Bu çalışmada insani yardım amaçlı kullanılan AKK yazılım projelerinin dünyada nasıl şekillendiği ve gerek eğitim öğretim açısından ve gerekse toplum hizmeti açısından nasıl sonuçlar doğurduğu araştırılmıştır. İÖAKK projelerine üniversite öğrencilerinde katılması ile bazı ülkelerde destek sağlandığı ve çok iyi sonuçlar alındığı görülmüştür. Ülkemizde de benzeri girişim potansiyelinin olduğu göz önünde bulundurularak İÖAKK projelerinin mutlaka üniversite öğrencileri için fırsat haline getirilerek ülkemizde de arttırılması gerektiği sonucuna varılmıştır.

Keywords

İnsani Yardım, Özgür ve Açık Kaynak Kodlu Yazılım Bilg İşlem, Bilgisayar Mühendisliği, Proje,

References

  • Chen J., Zhou, Y., Zipf, A., Fan, H. (2019). Deep Learning From Multiple Crowds: A Case Study of Humanitarian Mapping. IEEE Transactions on Geoscience and Remote Sensing, 57(3): 1713-1722.
  • Ellis, H.J.C., Morelli, R. A., Lanerolle , T.R., Hislop, G.W. (2007). Holistic Software Engineering Education Based on a Humanitarian Open Source Project. 20th Conference on Software Engineering Education & Training (CSEET'07), 3-5 July, Dublin, Ireland.
  • Ellis, H., Morelli, R.A., Hislop, G.W. (2008). Support for Educating Software Engineers Through Humanitarian, Open Source Projects. 21st IEEE-CS Conference on Software Engineering Education and Training Workshop. 14-17 April, Charleston, USA.
  • Herrera, A., Prowse, T. (2015). IEEE's Humanitarian Open Source. IEEE 9th International Conference on Standardization and Innovation in Information Technology (SIIT), 7-9 Oct. Sunnyvale, CA, USA.
  • Hislop, G. W., Ellis, H. J. C. (2017). Humanitarian Open Source Software in Computing Education” Computer IEEE, 50(10):98-101.
  • Hislop, G.W., Ellis, H.J.C., Morelli, R. (2009). Evaluating Student Experiences in Developing Software for Humanity, Proceedings of the 14th annual ACM SIGCSE conference on Innovation and technology in computer science education, 263-267.
  • Hsu, H.J. (2012). The Emergence of Free and Open-source Software on Campuses in Taiwan, IEEE Global Humanitarian Technology Conference, 21-24 Oct. Seattle, WA, USA.
  • Kevin Buffardi, K. (2016). Exploring Realism and Motivation Localized Open Source Software Projects”, The 11th International Conference on Computer Science & Education (ICCSE 2016), August 23-25Nagoya University, Japan.
  • Kimei, E., Khamisi, K. (2017). Digitization of antenatal health card and integration with OpenMRS platform: System analysis and design. IST-Africa Week Conference (IST-Africa), 30 May-2 June 2017, Windhoek, Namibia.
  • Kussmaul, C. (2016). Experience Report: Guiding Faculty & Students to Participate in Humanitarian FOSS Communities”, 2016 IEEE Eighth International Conference on Technology for Education (T4E), 2-4 Dec. Mumbai, India.
  • Nogay, H. S., Akinci, T.C. (2011). A proposal for visually handicapped students to use electrical control laboratory. Journal of Vibroengineering, 13:245-252.
  • Nogay, H. S., Akıncı, T. Ç., Erdemir, G. (2018). A Convolutional Neural Network Application For The Classification Of Lung Cancer Types. Academic Journal Industrial Technologies, 5:7-12.
  • Nogay, H. S. (2018). Classification Of Different Cancer Types By Deep Convolutional Neural Networks. Balcan Journal of Electrical&Computer Engineering, 5: 56-59.
  • Nogay, H. S., Akıncı, T. Ç., Erdemir, G. (2018). Estimation Of Head & Neck Cancer Stage By Using Deep Convolutional Neural Networks. Academic Journal Industrial Technologies, 5: 13-19.
  • Nogay, H. S., Akıncı, T. C. (2018). A Convolutional Neural Network Application For Predicting The Locating Of Squamous Cell Carcinoma In The Lung. Balkan Journal of Electrical & Computer Engineering, 6: 207-210.
  • Nogay, H. S. (2017). Deep Convolutional Neural Networks To Detect Lung Cancer Stage”, The Journal of Cognitive Systems, 2: 33-36.
  • Nogay, H. S. (2020). Prediction of Post-Treatment Survival Expectancy in Head & Neck Cancers by Machine Learning Methods”, The Journal of Cognitive Systems, 5(1): 23-32.
  • Nogay, H. S., Adeli, H. (2020). Machine learning (ML) for the diagnosis of autism spectrum disorder (ASD) using brain imaging, Reviews In The Neurosciences, DOI: 10.1515/revneuro-2020-0043, 1-17.
  • O'Keeffe, E., Moore, A., Mangina E. (2018). Drone-based Re-establishment of Communications for Humanitarian Rescue Organisations. IEEE Radio and Antenna Days of the Indian Ocean (RADIO), 15-18 Oct. Grand Port, Mauritius.
  • Parra, E., Haiduc, S., James, R. (2016). Making a Difference: An Overview of Humanitarian Free Open Source Systems . IEEE/ACM 38th International Conference on Software Engineering Companion (ICSE-C) , 14-22 May, Austin, TX, USA.
  • Peter D. P., Shields, M., Sloughter, J.M., Stewart, AJ., Lacrampe, C., Magness, E., Ochavillo, J., Limfueco, J., Mendoza A. (2018). Improving Shoestring Surveys for Off-grid Humanitarian Power Projects: Kilowatts for Humanity and KoboCollect. IEEE Global Humanitarian Technology Conference (GHTC), 18-21 Oct. San Jose, CA, USA.
  • Shen, H. (2015). Discussion and Analysis of the Crowdsourcing Mode of Public Participation in Emergency Management”, 8th International Symposium on Computational Intelligence and Design (ISCID), 12-13 Dec. Hangzhou, China.
  • Tucker, A., Morelli, R. (2011). The Humanitarian FOSS Project, Goals, Activities, and Outcomes”, IEEE Global Humanitarian Technology Conference, 30 Oct.-1 Nov. Seattle, WA, USA.
  • Walters, C., Caamaño, G.P., German, D.M. (2013). The future of continuous integration in GNOME”, 1st International Workshop on Release Engineering (RELENG), 20-20 May, San Francisco, CA, USA.

Humanitarian, Free and Open Source Software Projects (HOSSP)

Year 2021, Volume: 3 Issue: 1, 72 - 75, 30.04.2021

Hıdır Selçuk T. Çetin Akıncı Şahin Serhat Şeker

https://doi.org/10.47769/izufbed.860010

Abstract

When open source software platforms are designed for humanitarian aid, many socially beneficial software and programs emerge. Open source software platforms can be developed for humanitarian aid in accessibility for the disabled, crisis management in disaster situations, health-related issues, etc. The contribution of especially university students to this development process can be great. For those studying in the relevant department of university students, humanitarian free and open source software (HFOSS) projects provide the opportunity to develop their software experience and professional knowledge, as well as socialize and do business for the benefit of society. In this study, how HFOSS projects are shaped in the world and what kind of results they have in terms of education and community service are investigated. With the participation of university students in HFOSS projects, it was observed that support was provided in some countries and very good results were obtained. Considering that there is a similar initiative potential in our country, it is considered that HFOSS projects should be increased in our country by making them an opportunity for university students.

References

  • Chen J., Zhou, Y., Zipf, A., Fan, H. (2019). Deep Learning From Multiple Crowds: A Case Study of Humanitarian Mapping. IEEE Transactions on Geoscience and Remote Sensing, 57(3): 1713-1722.
  • Ellis, H.J.C., Morelli, R. A., Lanerolle , T.R., Hislop, G.W. (2007). Holistic Software Engineering Education Based on a Humanitarian Open Source Project. 20th Conference on Software Engineering Education & Training (CSEET'07), 3-5 July, Dublin, Ireland.
  • Ellis, H., Morelli, R.A., Hislop, G.W. (2008). Support for Educating Software Engineers Through Humanitarian, Open Source Projects. 21st IEEE-CS Conference on Software Engineering Education and Training Workshop. 14-17 April, Charleston, USA.
  • Herrera, A., Prowse, T. (2015). IEEE's Humanitarian Open Source. IEEE 9th International Conference on Standardization and Innovation in Information Technology (SIIT), 7-9 Oct. Sunnyvale, CA, USA.
  • Hislop, G. W., Ellis, H. J. C. (2017). Humanitarian Open Source Software in Computing Education” Computer IEEE, 50(10):98-101.
  • Hislop, G.W., Ellis, H.J.C., Morelli, R. (2009). Evaluating Student Experiences in Developing Software for Humanity, Proceedings of the 14th annual ACM SIGCSE conference on Innovation and technology in computer science education, 263-267.
  • Hsu, H.J. (2012). The Emergence of Free and Open-source Software on Campuses in Taiwan, IEEE Global Humanitarian Technology Conference, 21-24 Oct. Seattle, WA, USA.
  • Kevin Buffardi, K. (2016). Exploring Realism and Motivation Localized Open Source Software Projects”, The 11th International Conference on Computer Science & Education (ICCSE 2016), August 23-25Nagoya University, Japan.
  • Kimei, E., Khamisi, K. (2017). Digitization of antenatal health card and integration with OpenMRS platform: System analysis and design. IST-Africa Week Conference (IST-Africa), 30 May-2 June 2017, Windhoek, Namibia.
  • Kussmaul, C. (2016). Experience Report: Guiding Faculty & Students to Participate in Humanitarian FOSS Communities”, 2016 IEEE Eighth International Conference on Technology for Education (T4E), 2-4 Dec. Mumbai, India.
  • Nogay, H. S., Akinci, T.C. (2011). A proposal for visually handicapped students to use electrical control laboratory. Journal of Vibroengineering, 13:245-252.
  • Nogay, H. S., Akıncı, T. Ç., Erdemir, G. (2018). A Convolutional Neural Network Application For The Classification Of Lung Cancer Types. Academic Journal Industrial Technologies, 5:7-12.
  • Nogay, H. S. (2018). Classification Of Different Cancer Types By Deep Convolutional Neural Networks. Balcan Journal of Electrical&Computer Engineering, 5: 56-59.
  • Nogay, H. S., Akıncı, T. Ç., Erdemir, G. (2018). Estimation Of Head & Neck Cancer Stage By Using Deep Convolutional Neural Networks. Academic Journal Industrial Technologies, 5: 13-19.
  • Nogay, H. S., Akıncı, T. C. (2018). A Convolutional Neural Network Application For Predicting The Locating Of Squamous Cell Carcinoma In The Lung. Balkan Journal of Electrical & Computer Engineering, 6: 207-210.
  • Nogay, H. S. (2017). Deep Convolutional Neural Networks To Detect Lung Cancer Stage”, The Journal of Cognitive Systems, 2: 33-36.
  • Nogay, H. S. (2020). Prediction of Post-Treatment Survival Expectancy in Head & Neck Cancers by Machine Learning Methods”, The Journal of Cognitive Systems, 5(1): 23-32.
  • Nogay, H. S., Adeli, H. (2020). Machine learning (ML) for the diagnosis of autism spectrum disorder (ASD) using brain imaging, Reviews In The Neurosciences, DOI: 10.1515/revneuro-2020-0043, 1-17.
  • O'Keeffe, E., Moore, A., Mangina E. (2018). Drone-based Re-establishment of Communications for Humanitarian Rescue Organisations. IEEE Radio and Antenna Days of the Indian Ocean (RADIO), 15-18 Oct. Grand Port, Mauritius.
  • Parra, E., Haiduc, S., James, R. (2016). Making a Difference: An Overview of Humanitarian Free Open Source Systems . IEEE/ACM 38th International Conference on Software Engineering Companion (ICSE-C) , 14-22 May, Austin, TX, USA.
  • Peter D. P., Shields, M., Sloughter, J.M., Stewart, AJ., Lacrampe, C., Magness, E., Ochavillo, J., Limfueco, J., Mendoza A. (2018). Improving Shoestring Surveys for Off-grid Humanitarian Power Projects: Kilowatts for Humanity and KoboCollect. IEEE Global Humanitarian Technology Conference (GHTC), 18-21 Oct. San Jose, CA, USA.
  • Shen, H. (2015). Discussion and Analysis of the Crowdsourcing Mode of Public Participation in Emergency Management”, 8th International Symposium on Computational Intelligence and Design (ISCID), 12-13 Dec. Hangzhou, China.
  • Tucker, A., Morelli, R. (2011). The Humanitarian FOSS Project, Goals, Activities, and Outcomes”, IEEE Global Humanitarian Technology Conference, 30 Oct.-1 Nov. Seattle, WA, USA.
  • Walters, C., Caamaño, G.P., German, D.M. (2013). The future of continuous integration in GNOME”, 1st International Workshop on Release Engineering (RELENG), 20-20 May, San Francisco, CA, USA.
There are 24 citations in total.

Details

Primary Language Turkish
Subjects Engineering
Journal Section Articles
Authors

Hıdır Selçuk 0000-0001-9105-508X

T. Çetin Akıncı 0000-0002-4657-6617

Şahin Serhat Şeker 0000-0001-5816-2211

Publication Date April 30, 2021
Submission Date January 13, 2021
Acceptance Date March 17, 2021
Published in Issue Year 2021 Volume: 3 Issue: 1

Cite

APA Selçuk, H., Akıncı, T. Ç., & Şeker, Ş. S. (2021). İnsani Yardım, Özgür ve Açık Kaynak Kodlu Yazılım Projeleri (İÖAKK). İstanbul Sabahattin Zaim Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 3(1), 72-75. https://doi.org/10.47769/izufbed.860010
 Download Cover Image

20503

This work is licensed under Creative Commons Attribution 4.0 International License.