10th International Congress on Information and Communication Technology in concurrent with ICT Excellence Awards (ICICT 2025) will be held at London, United Kingdom | February 18 - 21 2025.
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Authors - Etian Ngobeni, Sara Grobbelaar, Christopher Mejia-Arguata Abstract - Infrastructure maturity models largely guide an organization towards adopting advanced technologies. However, the knowledge on how such models can be developed for wholesale food markets is still lagging. This study fills the gap by using a pragmatic approach and the application of design science research methodology to develop a roadmap to developing a maturity model for infrastructure in wholesale food markets. This paper proposes a three-phase comprehensive framework for developing a maturity model.
Authors - Senthil Kumar Subramani Anandan, Lorenzo Garbagna, Lakshmi Babu Saheer, Mahdi Maktar Dar Oghaz Abstract - Air quality monitoring systems have become an important part of urban areas due to recent attempts to monitor pollution levels to tackle problems such as climate change and population health risks. In recent years, research has been conducted of the utilisation of lowcost pollution concentration sensors to improve and expand on current air monitoring systems, as well as creating mobile systems that could be deployed in different scenarios. Although, the spread of Internet of Things (IoT) devices for monitoring systems brought the need of calibration between multiple different devices that could be found working inside the same network. This project explores the utilisation of Machine Learning and Deep Learning models to calibrate custom and Aeroqual sensors for PM2.5 and PM10 monitoring to an existing network from the city council in Cambridge, UK. For PM2.5, the collection with the custom sensor provided the highest accuracy when calibrated to the council one: Keras Regressor achieved an RMSE of 1.6240 and R2 of 0.8831, while with the data from Aeroqual a GRU Regressor achieved an RMSE of 1.9263 and R2 of 0.4867. On the other hand, collection with Aeroqual on PM10 concentration levels achieved an RMSE of 2.2087 and R2 of 0.6428 utilising RNN Regressor, while an MLP with Attention achieved a lower accuracy, with an RMSE of 4.9582 and R2 of 0.3297.
Authors - Ferlyn P. Calanda Abstract - The main goal of this project was to develop a Poultry Farm Monitoring and Control System using a web application platform. This system was designed to assist farmers by providing real-time data on temperature, humidity, ammonia levels and the overall environmental conditions within the poultry houses. As a result, farmers were able to access this information and make informed decisions to maintain animal welfare and productivity. The study employed a combination of descriptive and developmental research methods. A total of thirty (30) respondents including farmers, agriculturists, veterinarians, and faculty members from the agriculture department, took part in the study. The number of respondents was based on the suggestion of Jakob Nielsen [2012], which states that for quantitative studies, usability tests can be deployed on at least twenty (20) users to get statistically significant numbers. These respondents were able to remotely monitor the data and use it to inform decision-making processes.
Authors - J. Coetzer, R B Kuriakose, H J Vermaak Abstract - As manufacturing and business sectors adopted Industry 4.0, the Fifth Industrial Revolution (Industry 5.0) emerged. Unlike its predecessor, Industry 5.0 extends its focus beyond economic growth and job creation, recognizing the manufacturing sector’s potential to support to broader societal goals. The continuous technological advancements and system improvements of Industry 5.0 have sparked a new area of research: enhancing human-machine interaction in commercial and industrial manufacturing environments by fostering better collaboration between humans and machines. There have been limited studies on how to establish a CDM process that takes into account the worker's recognition and ability to adapt to this development. The aim of the paper is to explore if existing protocols for Human-Machine Collaboration (HMC) are present in the manufacturing sector. If such protocols do not exist, the paper seeks to develop a universal protocol suitable for implementation in an Industry 5.0 context. An entirely mechanized water bottling plant will be serve as a case study to examine the effects of HMC. The study aims create a protocol that supports CDM within an Industry 5.0 environment. To support this goal, a single-case experiment has been conducted to test the theory of HMC that will lead to optimal production time of an automated system in an Industry 5.0 context. The paper details the background that motivated the research, methodology used and showcases steps taken in creating a protocol for CDM before concluding with the investigation of preliminary results, that show an up to an average of 24% reduction in production time.
Authors - Vusumzi Funda, Bingwen Yan Abstract - Knowledge is a strategic asset and a critical source of competitive advantage for organisations. Consequently, organisations employ various knowledge management (KM) enablers to acquire, store, secure, retrieve, share and utilize knowledge, all of which are crucial for enhancing organizational performance. Information and Communication Technologies (ICTs) play a pivotal role in facilitating these processes. This study aimed to evaluate the effectiveness of ICT usage in KM within the context of South Africa, with a specific focus on identifying barriers to ICT utilization. A quantitative method research approach was adopted using surveys. The findings revealed that the selected university lacked a comprehensive guideline on ICT usage, which hindered effective KM. The study concluded that while KM is essential at the University, significant efforts are needed to improve its practices. Additionally, a comparative methodology was proposed to analyse disparities in ICT utilization across different institutions. This study contributes valuable insights into KM and offers practical implications for policy review, potentially influencing management and other stakeholders to initiate necessary reforms.
Authors - Maria Sahakyan, Meri Badalyan, Lusine Karapetya Abstract - The article is devoted to the study of the essence and characteristics of discrimination in the IT workplace. Obviously, the field of information technology is one of the priority areas for the development of the economy of the Republic of Armenia. This area is developing quite rapidly, and the average salary in IT companies is higher than the average salary in other spheres in Armenia. On the one hand, we still face the stereotype that a successful IT professional is a man. On the other hand, women in Armenia are starting to play an increasingly important role in coding, product development, web design, and other IT areas. The average share of women employed in IT in the world doesn't exceed 20% even though the tech world aspires to achieve gender balance and diversity. According to the data of 2022, more than 43% employees of the IT sector in Armenia are women, which is a quite high index at the global level. But still women in the IT sector earn on average about 1.5 times less than men. Despite the efforts of different engaged bodies to diminish the discrimination in the work-place, this is still a serious issue.
