arXiv subjects

Adones Rukundo

Publications and source records attributed to Adones Rukundo.

3 recordsLinked to original sources

arXiv2026

Farmer Connect: Improving Farmers' Access to Produce Markets

Smallholder maize farmers in Uganda continue to face limited market access, weak bargaining power, low price transparency, and heavy reliance on intermediaries. These challenges are compounded by poor produce coordination, delayed payments, and weak visibility into cooperative transactions. This paper presents Farmer Connect, a cooperative-based digital platform designed to support produce management, marketplace coordination, and transparent earnings tracking among farmer groups. The system supports four user roles: administrators, supervisors, farmers, and customers. Its core functions include farmer group management, contribution recording and verification, marketplace listing, order processing, First In First Out based produce allocation, earnings visibility, mobile money payment support, and notification services. The platform was implemented using a mobile-first architecture with cloud-based backend services and an administrative web dashboard. Functional implementation showed that the system was able to support the major workflows required for group-based maize marketing and cooperative coordination, with approximately 85% of identified user requirements implemented. The study shows that cooperative-centered digital platforms can provide a practical framework for improving transparency, coordination, and buyer access for smallholder farmers.

cs.CY↗

arXiv2025

A Collaborative Model for Improving Information Sharing among Cancer Care Groups using Software Engineering Principles

Effective treatment of cancer requires early diagnosis which involves the patient's awareness of the early signs and symptoms, leading to a consultation with a health provider, who would then promptly refer the patient for confirmation of the diagnosis and thereafter treatment. However, this is not always the case because of delays arising from limited skilled manpower and health information management systems that are neither integrated nor organized in their design hence leading to information gap among care groups. Existing methods focus on using accumulated data to support decision making, enhancing the sharing of secondary data while others exclude some critical stakeholders like patient caretakers and administrators thus, leaving an information gap that creates delays and miscommunication during case management. We however notice some similarities between cancer treatment and software engineering information management especially when progress history needs to be maintained (versioning). We analyze the similarities and propose a model for information sharing among cancer care groups using the software engineering principles approach. We model for reducing delays and improving coordination among care groups in cancer case management. Model design was guided by software engineering principles adopted in GitHub version control system for bug fixing in open-source code projects. Any-Logic simulation software was used to mimic the model realism in a virtual environment. Results show that bug resolution principles from software engineering and GitHub version control system can be adopted to coordinate collaboration and information sharing among care groups in a cancer case management environment while involving all stakeholders to improve care treatment outcomes, ensure early diagnosis and increase patient's survival chances.

cs.SE↗

arXiv2019

Relaxing Concurrent Data-structure Semantics for Increasing Performance: A Multi-structure 2D Design Framework

There has been a significant amount of work in the literature proposing semantic relaxation of concurrent data structures for improving scalability and performance. By relaxing the semantics of a data structure, a bigger design space, that allows weaker synchronization and more useful parallelism, is unveiled. Investigating new data structure designs, capable of trading semantics for achieving better performance in a monotonic way, is a major challenge in the area. We algorithmically address this challenge in this paper.To address this challenge, we present an efficient lock-free, concurrent data structure design framework for out-of-order semantic relaxation. Our framework introduces a new two dimensional algorithmic design, that uses multiple instances of an implementation of the given data structure. The first dimension of our design is the number of data structure instances onto which operations are spread to, in order to achieve increased parallelism through disjoint memory accesses. The second dimension is the number of consecutive operations of a single thread that can stay at the same data structure instance in order to benefit from data locality. Our design can flexibly explore this two-dimensional space to achieve the property of monotonically increasing throughput performance via relaxing concurrent data structure semantics within a tight deterministic relaxation bound, as we prove in the paper. We show how our framework can instantiate lock-free out-of-order queues, stacks, counters and dequeues. The experimental evaluation shows that our two-dimensional data structures: i) significantly outperform the respected previous proposed ones with respect to scalability and throughput performance and ii) monotonically increase throughput as relaxation increases.

cs.DS↗