16 research outputs found
Images of Chief Funmilayo Ransome-Kuti
No full textFieldwork Team: Dr. Mustapha Hashim Kurfi (Principal Investigator), Hauwa Usman (Local Project Manager), Alhaji Abubakar Maikudi Aishat (General Field Facilitator). Technical Team: Prof. Fallou Ngom (Project Director and former Director of the African Studies Center), and Eleni Castrol (Technical Lead, BU Libraries). These collections on Gender in Nigerian Ajami Manuscripts are copied as part of the African Studies Center’s African Ajami Library. Access Condition and Copyright: These materials are subject to copyright. All rights reserved to the author. For use, distribution or reproduction contact Professor Fallou Ngom ([email protected]). Required Citation: Kurfi, M. H., Hauwa U., Ngom, F., and Castro, E. (2020). African Ajami Library: Gender in Nigerian Ajami Manuscripts. Boston: Boston University Libraries: http://hdl.handle.net/2144/41953. For Inquiries: Please Contact Professor Fallou Ngom ([email protected]).Photographs of Chief Funmilayo Ransome-Kuti
Igbesi Aiye Chief Mrs. Funmilayo Ransome-Kuti (The life and times of Chief Mrs. Funmilayo Ransome-Kuti)
Full text linkThe entire manuscript is available for download as a single PDF file. Higher-resolution images may be available upon request. For technical assistance, please contact [email protected]. Fieldwork Team: Dr. Mustapha Hashim Kurfi (Principal Investigator), Hauwa Usman (Local Project Manager), Alhaji Abubakar Maikudi Aishat (General Field Facilitator). Technical Team: Prof. Fallou Ngom (Project Director and the Former Director of African Studies Center), and Eleni Castro (Technical Lead, BU Libraries). These collections of Gender in Nigerian Ajami Manuscripts are copied as part of the African Studies Center’s Ajami Library.
Access Condition and Copyright: These materials are subject to copyright. All rights reserved to the author. For use, distribution or reproduction contact Professor Fallou Ngom ([email protected]).
Materials in this web edition may be cited as: Kurfi, M. H., Hauwa U., Ngom, F., and Castro, E. (2020). African Ajami Library: Gender in Nigerian Ajami Manuscripts. Boston: Boston University Libraries: http://hdl.handle.net/2144/41953. For Inquiries: Please Contact Professor Fallou Ngom ([email protected]).Provenance / Custodial history: This manuscript is owned by Sheikh Umar Mustapha Hajji who wrote it in 2019. The manuscript is complete and is in its original form. The writer used the Mashriqi script.This Yoruba Ajami text written in 2020 is a biography of Mrs. Funmilayo Ransome-Kuti, a Nigerian activist, feminist, and the first woman in Abeokuta to drive a car. She is recognized as the first female Nigerian political activist. She is lovingly called as “The Mother of Africa.” Her full name is Francis Abigail Olufunmilayo Thomas. Mrs. Chief Funmilayo Ransome-Kuti was born on October 25, 1900 to Lucretia Phyllis Omoyeni Adeosulu and Daniel Olumeyuwa Thomas. She attended the Abeokuta Grammar School and completed her education in England. She returned to Nigeria and became a teacher. Chief Funmilayo was then married to Reverend Israel Oludotun Ransome-Kuti in 1925. She became the leader of the Nigerian Union of Students and later joined the Nigerian Union of Teachers. This Anjemi text (Ajami in Yoruba) also highlights Mrs. Funmilayo Ransome-Kuti's educational, social, and political struggles as an activist, politician, and educator in Nigeria who fought for gender equality and started a campaign to help Nigerian women obtain the right to drive a car. She created the Commoners' People's Party to challenge the ruling National Council of Nigeria and the Cameroons (NCNC). During the Cold War, Funmilayo Kuti traveled to several countries of the Eastern Bloc, including USSR, China and Hungary. Mao Zedong met with her in 1956. She was one of the most influential people who negotiated for the independence of her country with British authorities. She died at 77 after receiving injuries from a military raid on her family property. Chief Mrs. Funmilayo Ransome-Kuti is the mother of the renowned Nigerian musician Fela Anikulapo Kuti (October 15, 1938–August 2, 1997) who championed Afrobeat music.The contents of this collection were developed with support of the Title VI National Resource Center grant # P015A180164 from the U.S. Department of Education. However, those contents do not necessarily represent the policy of the U.S. Department of Education, and you should not assume endorsement by the Federal Government
Erratum
Full text linkCervical Cancer and Human Papilloma Virus Knowledge and Acceptance of Vaccination among Medical Students in Southwest NigeriaArticle first published in March 2015 (http://www.ajrh.info/home/issues.php?issue=current) and cited as : Cervical Cancer and Human Papilloma Virus Knowledge and Acceptance of Vaccination among Medical Students in Southwest Nigeria. Funmilayo F. Adejuyigbe , Balogun R. Balogun , Adekemi O. Sekoni and Adebukola A. Adegbola.The name of the corresponding author in the earlier publication was wrongly spelt. The complete name of the corresponding author is now correctly spelt in this publication.
Analysis of PAPR in optical OFDM systems with grouped LEDs
Full text linkThe need for multiple transmit chains poses a major challenge in optical orthogonal frequency division multiplexing (OFDM) system utilising grouped light emitting diodes (LEDs) for the purpose of peak-to-average power ratio (PAPR) reduction. Thus, recent study propose the use of pilot-assisted (PA) electrical PAPR reduction technique to further reduce PAPR and limit the number of transmit chains in the system. This paper presents the application of order statistics to derive the analytical solutions of PAPR distributions in the PA optical OFDM system utilising grouped LEDs. It is shown that the results obtained via analysis are in good agreement with that of computer simulations
On PAPR Reduction in Pilot-Assisted Optical OFDM Communication Systems
Full text linkThis paper presents a novel theoretical characterization of the pilot-assisted (PA) technique proposed for peak-to-average-power-ratio (PAPR) reduction in optical orthogonal frequency division multiplexing (O-OFDM). The two systems considered are direct-current biased O-OFDM (DCO-OFDM) and asymmetrically clipped O-OFDM (ACO-OFDM) in optical wireless communications. The DCO-OFDM and ACO-OFDM time-domain signals approach Gaussian and half-Gaussian distributions, respectively. The PA technique uses P iterations of a pilot sequence to rotate the phase of U data symbols within a PA O-OFDM frame and select the frame with the least PAPR. Thus, we utilize order statistics to characterize the PAPR distributions of the PA DCO-OFDM and ACO-OFDM system. The PA technique results in higher reduction in PAPR for high P but at the expense of increased complexity. In the theoretical framework developed, we are able to determine P that gives reasonable PAPR reduction gain. The theoretical analysis of PAPR reduction effects on the average optical and electrical signal power is studied. Results show that the PA technique is capable of reducing the optical energy per bit to noise power spectral density E b(opt)/N0 ratio required to meet target bit-error-rate in an additive white Gaussian noise channel. Comparisons of the analytical results of PA O-OFDM signal with that of computer simulations show very good agreement.</p
Pilot-Aided Frame Synchronization in Optical OFDM Systems
Full text linkEfficient frame synchronization is essential for data recovery in communication systems. In this study, a single pilot sequence is used to achieve both frame synchronization and peak-to-average power ratio (PAPR) reduction. The two systems considered are direct-current biased optical orthogonal frequency division multiplexing (DCO-OFDM) and asymmetrically clipped O-OFDM (ACO-OFDM). The pilot symbol is allocated to odd indexed subcarriers only. Thus, the synchronization algorithm leverages the mirror symmetric property of the pilot symbol within a frame to detect the start of the pilot signal at the receiver. This scheme has low complexity and gives precise frame synchronization at signal-to-noise ratios as low as 4 dB in an indoor visible light communication (VLC) channel
Deploying a wireless sensor network to track pesticide pollution in Kiu wetland wells: a field study
Full text linkWater pollution from pesticides is a major concern for regulatory agencies worldwide due to expensive detecting mechanisms, delays in the processing of results, and the complexity of the chemical analysis. However, the deployment of monitoring systems utilising the internet of things (IoT) and machine-to-machine communication technologies (M2M) holds promise in overcoming this major global challenge. In this current research, an IoT-based wireless sensor network (WSN) is successfully deployed in rural Kenya at the Kiu watershed, providing in situ pesticide detections and a real-time data visualisation of shallow wells. Kiu is an off-grid community located in an area of intensive agriculture, where residents face a high exposure to pesticides due to farming activities and a reliance on shallow wells for domestic water. The evaluation of path loss models utilising channel characteristics obtained from this study indicate a marked departure from the continuous signal decay with distance. Transmitted packets from deployed sensor nodes indicate minimal mutations of payloads, underscoring systems reliability and data transmission integrity. Additionally, the proposed design significantly reduces the time taken to deliver pesticide measurement results to relevant stakeholders. For the entire monitoring period, pesticide residues were not detected in the selected wells, an outcome validated with lab procedures. These results are attributed to prevailing dry weather conditions which limited the leaching of pesticides to lower layers reaching the water table.</p
Average BER evaluation of the uplink OFDM-based NOMA system under SIC and channel estimation error
Full text linkThe non-orthogonal multiple access (NOMA) scheme has been recognized as a promising candidate for future generation wireless communication networks that require a high data rate and spectral efficiency. In order to achieve a superior spectral efficiency, the orthogonal frequency division multiplexing (OFDM) technique with the robust channel estimation algorithm can be combined with the NOMA scheme. However, due to the inherent problem of inter-carrier interference in the OFDM-based systems, channel estimation using training symbols are not usually perfect. Furthermore, the successive interference cancellation (SIC) process commonly carried out in NOMA systems to address the interference among users is also imperfect under practical scenarios. Thus, a theoretical framework of the OFDM-based NOMA system to analyze the effect of both the imperfect SIC and channel estimation errors is presented in this paper. In particular, the effect of both the channel estimation errors and imperfect SIC, introduced at the receiver, on the bit error rate (BER) performance metric is analyzed under Rayleigh fading channel conditions. Our analytical results are compared to the corresponding simulation results for different design parameters. It is shown that the analytical and simulation results are in good agreement. Moreover, while revealing the importance of CSI and SIC, the results equally show that the assumption of perfect CSI and SIC is not practical, hence the need for accurate schemes for improved BER performance
Data warehousing with SAP business warehouse : Discussing SAP-Centria NGL Pilot2 Project and Experts’ Insights from CGI Suomi Oy, Fujitsu Finland Oy and Neomore Consulting Oy
Full text linkHow can one derive meaningful information from a huge set of raw data? This project provided an overall picture of data warehousing with SAP Business Warehouse (BW) systems. That is, how data is being gathered, the processes this data goes through to become understandable information, and the biggest challenges being faced during this processing and solution suggestions.
The aim of this thesis was to explain data warehousing procedures, from data collection till querying, with SAP BW/4HANA from the experiences gathered from SAP-Centria Next-Gen Lab Bike Sharing Project. This project gives insight into data warehousing, its meaning, benefits and its elements.
The author also carried out qualitative research using a semi-structured interview. The purpose of the interview was to gain insights into the essence of data warehousing and how SAP BW systems are used to meet the requirements of data warehousing. For this purpose, senior SAP BW consultants whose expertise area also covers helping organizations with implementation and support of the SAP BW systems were interviewed. Topics discussed included needs for Data Warehousing, implementation definition and developments, SAP BW processes, challenges faced, solution suggestions and if from past experiences clients have used information generated from data analysis to organizations’ advantages. Gaining experts’ insights through the interview helped to see the correlation between the NGL Pilot2 data warehousing tasks and real-work experiences.
This project also discussed the biggest challenges students faced during the NGL Pilot2 program and challenges from the experts’ perspectives with respect to Data Warehousing using SAP BW systems. The project gave solution suggestions to these problems. Other theoretical materials intended for this project included reports from the Pilot2 project in the Next-Gen Lab, scholarly books and online resources, relative to the subject matter
Towards autonomous optical camera communications : Light source localisation using deep learning
Full text linkThis research significantly improves the link reliability and robustness of optical camera communications (OCC) by leveraging deep learning for light source modulation filtering, reflection filtering, and precise light source localisation. By using image sensors as receivers in OCC, data transmission is not only enabled, but other applications are also facilitated, such as detecting objects and humans, making OCC highly attractive in healthcare, intelligent transport systems, and indoor positioning. However, the position of the desired signal in the received image frame must be tracked in dynamic scenarios (i.e., nonstationary applications), in order to maintain the communication link. Moreover, as sixth-generation (6G) wireless networks envision highly autonomous systems that rely on seamless integration of communication and sensing, deep learning is key to enabling robust and adaptive light source localisation and sensing in OCC, which enables vision-based autonomy in dynamic environments. It should be noted that a deep learning-based approach provides more accuracy even when there are multiple noise sources in the environment, reflections, and complex backgrounds, and under mobility conditions, in which traditional light source detection/tracking methods are not effective. Hence this study investigates the use of a deep learning-based approach by analysing the detection accuracy under different configurations and unseen images. The results obtained demonstrate consistently high detection performance with average precision (at an intersection-over-union threshold of 0.70 of 0.84 to 0.97. These results pave the way for autonomous receivers that will be able to select signals intelligently and decode them
