Browsing by Author "Orero, Joseph Onderi"

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    A requirements elicitation process model for health management information systems: case of Kenyatta National Hospital
    Gikura, Mary Wambui; Marwanga (Dr.), Reuben; Orero, Joseph Onderi; Kiraka, Ruth
    Requirements Elicitation (RE) is about learning and understanding the needs of users and stakeholders with the aim of communicating these needs to the system developers. Requirements Elicitation is an important stage in Information Systems development (ISD), and has substantial impact on software costs.RE has remained a key topic of interest for researchers and they have stated that a large number of Information Systems development (ISD) projects fail resulting in high costs to organizations. One of the reasons that these projects fail is the inability of the Information System to precisely satisfy user 's requirements which is a result of inaccurate and incomplete requirements collected in the Requirements Elicitation (RE) stage. Considering the importance of the RE stage in information systems development projects , this stage therefore becomes a critical area for IS research. This research focused on the process of RE in the development of the Heath Management Information Systems (HMIS) in Kenyatta National Hospital. Using data collected from the developers and users in the hospital the study presents a Requirements Elicitation Process model for Health Management Information systems. The results showed that the greatest challenge in the RE process was communication and the study suggests requirements prototyping to solve communication challenges. The implementation was conducted in Kenyatta national Hospital 's Comprehensive care centre. In conclusion the study elaborates a RE model that incorporates communication and requirements prototyping as key elements in the model.
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    Assessing Gameplay Emotions from physiological signals: a fuzzy decision trees based model
    Orero, Joseph Onderi; Levillain, Florent; Damez-Fontaine, Marc; Rifqi, Maria; Bouchon-Meunier, Bernadette
    As video games become a widespread form of entertainment, there is need to develop new evaluative methodologies for acknowledging the various aspects of the player’s subjective experience, and especially the emotional aspect. Video game developers could benefit from being aware of how the player reacts emotionally to specific game parameters. In this study, we addressed the possibility to record physiological measures on players involved in an action game, with the main objective of developing adequate models to describe emotional states. Our goal was to estimate the emotional state of the player from physiological signals so as to relate these variations of the autonomic nervous system to the specific game narratives. To achieve this, we developed a fuzzy set theory based model to recognize various episodes of the game from the user’s physiological signals. We used fuzzy decision trees to generate the rules that map these signals to game episodes characterized by a variation of challenge at stake. A specific advantage to our approach is that we automatically recognize game episodes from physiological signals with explicitly defined rules relating the signals to episodes in a continuous scale. We compare our results with the actual game statistics information associated with the game episodes.
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    Characterizing player’s experience from physiological signals using fuzzy decision trees
    (IEEE, ) Orero, Joseph Onderi; Levillain, Florent; Rifqi, Maria; Bouchon-Meunier, Bernadette
    In the recent years video games have enjoyed a dramatic increase in popularity, the growing market being echoed by a genuine interest in the academic field. With this flourishing technological and theoretical efforts, there is need to develop new evaluative methodologies for acknowledging the various aspects of the player’s subjective experience, and especially the emotional aspect. In this study, we addressed the possibility of developing a model for assessing the player’s enjoyment (amusement) with respect to challenge in an action game. Our aim was to explore the viability of a generic model for assessing emotional experience during gameplay from physiological signals. In particular, we propose an approach to characterize the player’s subjective experience in different psychological levels of enjoyment from physiological signals using fuzzy decision trees.
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    Coffee supply chain traceability model: Case of the Coffee Board of Kenya
    (Strathmore university, 2013-06) Mumbi, Mungai Karen; Sevilla, Joseph; Orero, Joseph Onderi; Kiraka, Ruth
    This thesis describes the potential impact of the introduction, implementation and integration of traceability model in the coffee industry. It seeks to identify a traceability model to be used as a blueprint in developing a traceability system for the coffee sector. This is achieved by highlighting the value chain players in the coffee sub-sector, the processes and to ensure that the system is aligned along the coffee supply chain. This technological innovation is meant to trace coffee consistently and efficiently from the point of origin to the point of consumption. Absence of the right traceability model in the coffee sector in Kenya is hindering the potential of this sector as well as limiting its growth. The value of an automated coffee traceability system would seek to integrate all the information scattered from all the supply chain player's; centralize capture; storage and retrieval of information; speed up processing of information; keep track of the production process ; generate reports; and also be used as a knowledge management tool. The methodology used was a basic survey, questionnaire and interview. Data was collected from a sample selected to represent a larger population. This sample size consists of Sasini Miller Limited and the Coffee Board of Kenya. The estimated population of CBK ICT users in the organization is 65 working with the confidence level of 95% and a confidence interval of 9, using the sample size formula 42 employees best characterized the general understanding of the entire CBK population. In this research the product-centric data model was selected owing to its critical packages of traceability and quality appropriate for the food industry. The traceability package contained entities that enabled tracing and tracking the product throughout its lifecycle and the quality package contained entities that represent the quality features of the product. Based on the data collected the traceability components missing in the current traceability system in the coffee sub-sector. The proposed model incorporates the missing traceability components and ensured that the product-centric parameters of traceability and quality are enhanced. Additional technologies included are traceability standards and bar-coding technologies thereby improving and customizing the model for the coffee sub-sector in Kenya The model ensures that adequate information is generated at the right time and is available to the next person in the supply chain. It enhances identification of the coffee product, movements and processes done in the supply chain. It also allows the supply chain players to process , store, handle and display the product safely and correctly.
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    Design of a fuzzy affective agent based on typicality degrees of physiological signals
    Orero, Joseph Onderi; Rifqi, Maria
    Physiology-based emotionally intelligent paradigms provide an opportunity to enhance human computer interactions by continuously evoking and adapting to the user experiences in real-time. However , there are unresolved questions on how to model real- time emotionally intelligent applications through mapping of physiological patterns to users ' affective states. In ·this study, we consider an approach for design of fuzzy affective agent based on the concept of typicality. We propose the use of typicality degrees of physiological patterns to construct the fuzzy rules representing the continuous transitions of user 's affective states. The approach was tested· on experimental data in which physiological measures were recorded on players involved in an action game to characterize various gaming experiences . We show that , in addition to exploitation of the results to characterize users ' affective states through .typicality degrees, this approach is a systematic way to automatically define fuzzy rules from experimental data for an affective agent to be used in real -time continuous assessment of user's affective states.
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    Embedded system for vehicle speed monitoring
    (Strathmore University, 2017) Murakaru, Anne Wamuyu; Orero, Joseph Onderi
    This paper investigated the impact of current approaches taken to curb speeding of public service vehicles in Kenya. A qualitative research pointed out that the existing systems are inefficient and ineffective in monitoring speeding and reporting speeding offenses to the relevant authorities. In addition, public service vehicle drivers are not aware of the current speed limit zones in various locations given that the National Transport Service Authority (NTSA) periodically changes speed limit regulations along particular roads. An embedded system for vehicle speed monitoring was proposed and tested. The objective was to design a real time microcontroller based system for mapping speed limit zones and reporting cases of speeding violations to the relevant authorities through an android mobile application. An LCD Screen was integrated to the microcontroller to provide a visual display of the vehicle location and speed limit within the location. In the event of speeding, an audio alert is triggered to notify the driver and an SMS is sent from the GSM module to a central server. Through this system, public service drivers are aware of the speed limit zones on various roads and are alerted once the speed limit is exceeded. The real time reporting system enables the transport agencies and other regulatory bodies to equally monitor speeding vehicles on the roads.
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    Integrated Intrusion Detection Security System Model
    (Strathmore university, 2014-06) Katana, Mwatete Dominic; Ateya, Ismail Lukandu; Orero, Joseph Onderi; Kiraka, Ruth
    Organizations are investing heavily in security systems to secure their premises and assets . In an effort to enhance security, organizations have turned to the adoption of Intrusion Detection Systems. lDSs have improved in efficiency and effectiveness in the way they detect and respond to intrusions. They are moving from manual detection of intrusions to automated detection of intrusions. Most of the existing IDSs are stand-alone hence making it difficult to associate intrusions. They also cannot offer a complete organization security hence needs to be integrated with other system security components. Exploratory research design was adopted in coming up with the solution due to the nature of the study. Data was collected through questionnaires, journals, theses and observation of existing security systems. The collected data was organized and analyzed using SPSS tool. The finding and analysis of the data were presented in descriptive statistics where tables, percentage and charts were used. The model developed was informed by the research findings that showed most organizations secure their premises and assets but lack a standardized model to integrate different security system components. An Integrated Intrusion Detection Security System Model provides a standard for developing systems to integrate different security system components in an organization. The integration of heterogeneous IDSs and different security system components improves the security performance as this associates different security system components to share intrusion information.
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    Mapping of terrorist activities in Kenya using sentiment analysis
    (Strathmore University, 2017) Ngoge, Lucas .A.; Orero, Joseph Onderi
    Terrorism has become a subject of concern to many people in Kenya today. Corruption, porous border and lack of government in the neighboring Somali, have made Kenya a potential target for terrorists’.The advancement in technology has brought a new era in criminal activities where Online Social Networks such as Twitter,Facebook has driven the increase use of the internet by criminal organizations and their supporters for a wide range of purposes including recruitment, financing, propaganda, incitement and gathering and dissemination of information for criminal activities such as threats, incitement to imminent violence, harassing speech, libelous speech etc.Although the Kenya government improved its ability to fight terrorism the changing pattern of terrorist activities, human errors and delayed crime analyses have given criminals more time to destroy evidence and escape arrest.The main objective is to test and validate a technique that can be used to establish crime patterns associated with terrorist activities using sentiment information deduced from twitter data.The data collected will then be used as features for training and development of the algorithm which will then be used to carry out real time mapping of terrorist activities. The algorithm’s performance will be then measured for accuracy.
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    Mobile application for sharing patient data across health facilities
    Bore, Nelson Kipbichii; Ateya, Ismail Lukandu; Orero, Joseph Onderi; Kiraka, Ruth
    Information technology has tremendously improved healthcare delivery with the implementations of electronic medical record system (EMRs). It has allowed health facilities to document interactions with patients, view medical records and recording of laboratory tests. Despite the widely documented benefits of EMRs, many health practitioners are still faced with a number of challenges: Patient data cannot be shared across health facilities and clinicians cannot enter patient data in real time to EMRs hence lack of real time patient medical history. Currently, EMRs' are hospital dependent and they cannot communicate with other hospitals to share information when necessesary. This makes it hard for health practitioners to share patient data and access medical history which aids in patients diagnosis. This research sought to investigate why hospitals cannot share patient data yet they have EMR systems implemented and also identify some of the possible platforms that are there for sharing patient data across different hospitals. To achieve this , the author sent out pre questionnaire to get general information on sharing ofpatient data. Findings indicated that there is no system that health officers can use to share patient data across health centers. A total of66% agreed that there is need of sharing data and they are currently using patient notes to share patient data , this implied that there is need for a system to share patient data. This research developed a mobile application as a proof of concept for sharing data across health centers, the application was then distributed via Google play store for users to download and test. Test findings indicated that 53% strongly agreed that the application was usable and able to share patient data effectively, this meant that having such a system many people will find it useful. Despite the high possibility ofadoption, there were also challenges that could hinder its wide usage that were found e.g. lack of a modular EMR system implemented in hospitals. With the availability of modular EMR implemented in the hospital, the proposed mobile application for sharing patient data across health centers could be of help. This would allow health practitioners to record , access and share patient data with ease across all the different health centers that the patient will visit. This solution will improve the whole interaction of health practitioners with patient data, improve the speed of recording patient observation and provide meaningful tracking of patient data over time.
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    Software as a Service Application Evaluation Framework Addressing Configurability
    (Strathmore university, 2014-06) Owiti, Yvonne Mwajuma; Marwanga (Dr.), Reuben; Orero, Joseph Onderi; Kiraka, Ruth
    Software as a Service (SaaS) is a global technology trend to watch as adoption keeps soaring, yet configurability concerns linger. SaaS users may make uninformed decisions when choosing an application by failing to factor in configurability limitations. In view of the frameworks reviewed by the researcher, there is no framework for SaaS applications that can be used to evaluate a system that meets users' requirements with configurability limitations addressed. In an attempt to determine the specific configurability limitations currently experienced by SaaS users in Kenya, the study listed sixteen (16) configurability items. Fifty (50) percent of them were reported to have configurability limitations. These include; custom fields' definition, data export, in-house application integration, domain name modification, listing report pagination, custom fields' behavior modification, plug-in installation and dashboard customization. SaaS industry is yet to mature the processes and models of dealing with these configurability concerns. This means that configurability limitations will still linger. SaaS users therefore need to be armed with the knowledge of such weaknesses ill order to source wisely for a SaaS application. An evaluation framework was proposed by the researcher. This was validated by two IT managers. The feedback from the validation process (usefulness -100%, effectiveness - 100%, completeness- 90% and accuracy 95%) was used to further enhance the framework. This framework will help prospective SaaS users make the right choices during sourcing.
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    Typicality degrees to measure relevance of the physiological signals
    (SCITEPRESS Digital Library, ) Orero, Joseph Onderi
    Physiological measures have a key advantage as they can provide an insight into human feelings that the subjects may not even be consciously aware of. However, modeling user affective states through pysiology still remains with critical questions especially on the relevant physiological measures for real-life emotionally intelligent applications. In this study, we propose the use of typicality degrees defined according to cognitive science and psychology principles to measure the relevance of the physiological features in characterizing user affective states. Thanks to the typicality degrees, we found consistent physiological characteristics for modeling user affective states.
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    User interface design standardization matrix for mobile applications
    (Strathmore University, 2014-07) Muiruri, Chege Mark Brian; Omwenga, Vincent O; Orero, Joseph Onderi; Kiraka, Ruth
    Mobile applications are becoming increasingly popular in the modern setting due to mass adoption of mobile devices and associated technology. However, mobile applications development has been faced by many challenges specifically in user interface design. Recent studies have shown that user interfaces for mobile applications are neglected and rarely meet user needs and expectations. This is largely due to a combination of factors such lack of user participation, programming errors and crossplatform consistency. This paper adopts an exploratory research design in its attempt to provide a solution to the aforementioned problem which is attributed to lack of standardization in user interface design for mobile applications. In an attempt to address this problem, this paper analyzed the features and examined the principles of user interface design for mobile-applications. This-paper proposes a user interface design-standardization matrix as the solutions which should guide designers of user interfaces for mobile applications. The implementation of the standardization matrix is done at the design stage of the user interface and after the interface has been designed. This enables designers to compare the expected design and the actual user interface design. Adoption of this matrix by designers will lead to better quality and superior user interface designs which will in turn improve the usability of mobile applications and user experience. Therefore, the basis of this research is user interface design for mobile applications which is modeled around user interface design features and principles as the key components.
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    Vehicle exhaust emissions inspection system for roadworthiness enforcement
    (Strathmore University, 2017) Mwenda, Reuben K.; Orero, Joseph Onderi
    Air pollution has been a growing concern as Kenya tries to industrialize. Increase in the number of vehicles and factories as well as constructions in Nairobi make this all the more critical. This polluted air has far reaching consequences which include illnesses that lead to death. Measuring the concentration of air pollutants is necessary to establish the quality of air in the city. By extension, measuring the concentration of pollutants being emitted through vehicle exhaust fumes can help establish if the vehicle is worthy to be on the road. To best measure the degree of these pollutants, random on-the-road inspection of vehicle inspection of vehicle exhaust emissions is key. However, this has not been achieved by the Kenyan law enforcement agencies. The ability to inspect the emissions from cars on the road will help law enforcement remove unroadworthy vehicles from the roads and thus minimize air pollution caused by vehicles. Conventional inspection methods are done in controlled environments such as laboratories. Vehicles are driven in and are inspected while they remain stationary. These controlled tests fall short of revealing the true state of a vehicle’s exhaust emissions: the fumes emitted while a car is on open road are different in composition from those emitted in such a controlled environment. In addition, manufacturers can tweak their vehicles to emit gases that are within the prescribed thresholds as was done by Volkswagen in order to meet and exceed the US Environment Protection Agency standards. This study will present a model that utilizes sensors to assess the level of pollutants produced from a vehicle exhaust to the air and register these to back-end server hosted on the cloud. The model will have an LCD screen on which law enforcement can view levels of pollutants as measured by the sensors. The information will be stored in