Browsing by Author "Okemwa, Joshua Gisemba"

Now showing 1 - 9 of 9
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    A Comparison Study of Success in Digital India Program with Kenya’s Leading Mobile Money Provider Safaricom
    (International Journal of Computer Science Trends and Technology, 2019-02) Okemwa, Joshua Gisemba
    Indian government launched campaign entitled digital India with a vision to transform India into a digitally empowered society and knowledgeable economy. It involves the creation of digital infrastructure, delivery of services digitally and digital literacy. It was meant to enhance development in India especially villages with rural set up. In the 21st century we are dependent on technology, we cannot imagine the world without mobile phones, internet, computer, machines among others. A number of schemes have been launched by the government to motivate the general public, to use technology in their day to day transaction e.g. online purchase, various ticket booking, video conferences in education field, recruitment sectors etc. Digital cashless economy is well advanced in India, i.e. there are enough apps and platforms that help pay digitally UPI, BHIM, AadhaarPay, Paytm, MobiKwik, HDFC PayZapp, SBI Buddy, PayU, Tez, besides credit cards and debit cards. These payment modes are simpler today than the earlier generation ones. The target set by committee in charge, for 2018 is twenty five billion, with half the year gone, less than a third of the total targeted transactions are via digital,. In this paper we will analyze the trend in selected months and recommend a way forward enhancing digitally cashless economy
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    A Reflection on Big Data Business Analytics in Smart Cities
    (International Research Journal of Engineering and Technology, 2019-05) Okemwa, Joshua Gisemba; Emeline, Uwacu
    Commercial activities are solely executed with an intention of return of investment. In smart cities business depend upon analytics to improve the extent of its operations. Business analytics refers to exploring the past business in order to gain facts. The intention is to identify new insight on related issues and facts on enhancing business. Big data characterized by data sets that are large, diverse and constantly changing they are complex to be processed by traditional processing applications. Smart cities concept is preserved for cities that use information and technology to improve the lives of its citizens by enhancing performance and quality of service delivery. Smart city are dependent upon data and analytics in most of their operations. With (BDBA) dependence on data to enhance return of investment (ROI), Smart cities provide best platform to facilitate availability of large volumes of data which can serve both purposes. In this paper we will reflect on the impact of big data business analytics (BDBA) in a smart cities and challenges arising from its application
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    Application of ICT in Raising Standards of Learning in Higher Education Institutions: A Case Study of Udaipur City
    (International Journal of Science and Research, 2019-01) Okemwa, Joshua Gisemba
    Smart cities have the ability to incorporate information and information communication and technology in ensuring effective delivery of services. Basically they aim at ensuring high living standardizes for its citizens. Transformation to smart city ideology has been encouraged by a number of governments globally. The government of India in 2015 started an initiative named smart cities mission (SCM) aimed to upgrade urban cities to smart cities. Udaipur is among the 100 cities selected in this initiative by the national government. Udaipur smart city implementation will focus in areas including transport and safety measures, installation of WiFi and other modern facilities. Smart city includes collection of data that is processed and analyzed to enhance service delivery within the city that include schools, hospital, and transportation among others. In this paper we discuss how the analogy of the frame work used in raising living standards in smart city can be directly applied in higher education institutions in Udaipur to raise standards of learning. In our framework we identify ICT as the base of operation in both instances.
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    Emerging Issues, Challenges and Solutions in Respect to E-Commerce
    (International Journal of Multidisciplinary Research Review, 2021-07) Okemwa, Joshua Gisemba; Magambo, A. Consolata
    E-commerce has revolutionized the ability to sales and purchases of goods and services via internet. Ecommerce has consistently evolved over time to meet the changing nature of people’s needs, thus enhancing online shopping experience. Earlier e-commerce had fairly limited capabilities but its potential has grown gradually through customization and improved integration. Generally, data volume collected from online business has been skyrocketing over time and businesses are keen to apply modern technologies to harvest from the power of data science. E-commerce executives agree that big data holds the key to the amazing future of the e-commerce industry. Big data enables e-commerce companies to improve decision making, gain a competitive advantage, it enhances customer behavior analysis and prompts the discovery of actionable insights. Internet Invention has brought unprecedented growth in e–commerce, such as the creation of new business models e.g. online companies that conducts most of its business on the internet. Indeed, internet has made it possible to start a global online business than it was earlier. In this paper we highlight a number of emerging issues and analyze cyber security challenges and solutions in respect to e-commerce.
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    Enhancing Security and Privacy on Smart City‟s Collected Data: A Fog Computing Perspective
    (International Journal on Future Revolution in Computer Science & Communication Engineering, 2019-05) Okemwa, Joshua Gisemba; Deora, M.S
    Smart cities use information and communication technologies to deliver services to their citizens. Use of ICT makes them to be more intelligent and efficient in usage of resources, resulting in cost and energy savings, improved service delivery and quality of life. Smart cities are expected to be the fundamental pillars of continued economic growth and improved services delivery. Smart City technology is having ability to constantly gather information about the city, sharing the data with people, devices and technologies or borrowing relevant data from elsewhere, for analysis to enable informed decision making. For instance internet of things has emerged as a technological driving force in real time service delivery in smart cities. These applications provide new abilities, enhancing monitoring, and provision of action oriented process on control and device management. Smart devices are a major source of big data in smart cities. With expected increase of billions of smart devices and sensors in smart city by the year 2020, more data will be generated which will reduce efficiency of cloud access, due to increased volume. Security and privacy of data is a challenge in smart city, negligence in data security and privacy can be amplified in folds resulting to faulty applications, services along with paralyzing the entire city through Denial of Service (DDoS) attack, Spear Phishing Attacksand Brute-Force Attacks among others.Fog computing FC is a new paradigm that is intended to extend cloud computing CC through deployment of processing and localized units into the network edge, enabling low latency, offering location awareness and latency sensitiveness. Homomorphism for encryption, authorization, authentication, and classification are performed on collected data in smart cities to improve security and privacy. In this paper assimilation and analysis, is performed with fog computing aspects of decentralization, different policies for datacenter transferstrategies being analyzed.Processing time, access time, request time, response time and cost analysis show system efficiency.
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    Filtering Online Social Networks Based on User Content Generation
    (International Journal of Advanced Research in Computer Science and Software Engineering, 2017-03) Okemwa, Joshua Gisemba
    Social media is part of computer mediated technology that helps an individual to connect with their friends, family and online society, to share information, ideas, career interests and other forms of expressions. Online social networks (OSN) are facing the problem of the people posting indecent messages on individual's wall. Machine learning (ML) intelligence is used to filter these large volumes of data. I aim to propose an automated filter war (FW), able to filter unwanted messages from (OSN) user walls. To the fact that in OSN’s there is the possibility of posting and giving comments on other posts on particular public (or) private walls (PW). Information filtering is mainly used to give user the ability to control the kind of information written on their own walls by filtering out unwanted messages from a chunk of data that a user intends to post. Content Based Filtering will give user ability to select information item based on the correlation between the content of the items and the user preferences. On the other hand Filtering will be mainly used to filter the unwanted messages and if tendency is noticed from the person posting messages, option of blacklisting is available.
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    Investigating Citizen’s Awareness of Privacy and Security Challenges During: Data Collection in Smart Cities
    (International Journal of Modern Engineering and Research Technology, 2019-01) Okemwa, Joshua Gisemba; Deora, M. S.
    Technology has been infused in smart city service delivery with the intention of improving the living standards of its citizens. Many governments in both developing and developed world are investing more its ideology. Smart city operations relay on collection of data processing and evaluating it in order to enable informed decision making. With huge collection of big data by sensors and other smart devices fitted in cities the challenge currently faced is how to guarantee security and privacy of data. Data faces a number of threats ranging from leakage, observation, repurposed use, misuse, unauthorized access, and duplication among others. Researchers have been advancing the algorithms that will guarantee security of innocent users and ensure the safety and privacy of their data. In this paper we have carried an investigation to measure the empirical awareness of citizens concerning privacy and security issues during data collection in smart cities; we report and analyze the findings.
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    Open Data Initiatives Fundamental Pillar For Emergence and Development of Smart Cities.
    (International Journal on Future Revolution in Computer Science & Communication Engineering, 2018-04) Okemwa, Joshua Gisemba; Deora, M.S
    Smart city is a booming phenomenon in the 21st century with Open data initiatives increasingly becoming part of elements considered in emergence of this cities. Data plays an important role in enhancing informed decision making in real time. Availability of different open data talesis an added advantage. This paper analyses data initiatives from countries that are in the process of developing smart cities namely Kenya and India. Although their geographical boundaries vary in priorities of respective governments in development plans. We consider China, India and Africa, where smart city initiatives are promoted as a way of enabling modernization and national development, responding to population growth/migration, and managing economic and urban transitions. The study sought to identify how the open data initiatives available in this respective countries and they are similar to the conceptual framework of smart cities also to identify how they will shape development of different smart cities. This findings show the necessity of open data initiatives on emergence of smart cities.
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    Using CNN and HOG Classifier to Improve Facial Expression Recognition
    (International Journal for Research in Applied Science & Engineering Technology, 2019-06) Okemwa, Joshua Gisemba; Mageto, Victor
    Facial expression recognition (FER) is growing on a large scope due to diversification of its field of application. FER is now applicable in crime prevention, smart city development, as well as other economic sectors like: transportation, advertising and health. There are a number of benefits accompanied through proper and correct analysis of emotions: Security is enhanced, proper event prediction, inter person communication channel, easy extraction of details and so on. There are various facial emotions identified from various previous studies, which make up the basis for effective and affective communication among people of different culture, race, ethnicity and gender. Many feature extraction methods and classification techniques have previously been developed to give better accuracy and performance in face recognition. A convolution neural network CNN is an unsupervised deep learning algorithms with ability to learn image characteristics and make differentiation of one aspect to another. It is a trending technique in this field due to its positive results, and fast computation. However, the still there are issues with accuracy and complexity challenges in face recognition. In this paper we perform experiments on FER to solve problems associated with orientation and different light conditions. We applied HOG classifier for feature extraction and CNN to detect and classify the expressions. Overall we achieved high accuracy and optimization results of 77.2%. This method achieved higher results than previous work done using SVM algorithm and HOG classifier with accuracy of 55%.