The positioning accuracy based on the UWB technology for an object on circular trajectory

This paper presents the comparison of filtering methods – median filtration, moving average Kalman filtration and filtration based on a distance difference to determine the most accurate arm length for circular motion, as a model of wind turbine propellers movement. The experiments have been performed with the UWB technology system containing four anchors and a tag attached to 90cm arm that was rotated with speed up to 34.5 rad/s (as a linear speed of 50km/h). The trilateration concept based on the signal latency has been described in order to determinate the position of an object on circular trajectory. The main objective is the circle plane rotation (parallel and perpendicular) with respect to the anchors plane reference system. All research tasks have been performed for various cases of motion schemes in order to get the filtration method for object in motion under best accuracy goal. Filtration methods have been applied on one of two stages of the positioning algorithm: (1) on raw data got from the single anchor-tag (before trilateration); (2) on the position obtained from four anchors and tag (after trilateration). It has been proven that the appropriate filtering allows for higher location accuracy. Moreover, location capabilities with the use of UWB technology – shows prospective use of positioning of objects without access to other positioning forms (ex. GPS) in many aspects of life such as currently developing renewable, green energy sources like wind turbines where the circular motion plays an important role, and precise positioning of propellers is a key element in monitoring the work of the whole wind turbine

A Framework for Controlling & Managing Traffic with Modern Technology

Thousands of people die on roads every day. Despite advances in technology, controlling vehicular traffic remains a challenge. Modern technologies can be very helpful in controlling and managing traffic. In particular, the Internet of Things (IoT) and Machine Learning (ML) have created a new level of automation of services and applications, which have given rise to smart cities, smart health, smart business, and smart transportation. In this thesis, we shall provide a framework for better and comprehensive control and management of road traffic with the help of modern technology. The proposed system has four layers, namely Application Service Layer, Cloud Computing Layer, Fog Computing Layer, and Sensing and Objects Layer. We shall provide details of these layers and associated levels. The First level of the proposed solution addresses the issue of traffic congestion at intersections, with a proposal of a dynamic smart traffic light with the help of Image processing algorithms. The second level will deal with the surveillance of selected streets to provide information about possible hazards. The third level deals with data mining and machine learning algorithms to add information to the knowledgebase to enable better planning. The fourth level proposes several applications to assist general services like school buses, ambulance, parking, places of interest, pollution, emergency cases, etc. Congestion often occurs during peak hours. One of the causes of increased volume of traffic in town centres and business districts is a lack of suitable carparks. In this thesis, we also provide a framework for smart parking which can be extremely helpful in preventing frantic searches for parking, which are a cause of congestion. Road users often use various services like toll tax, parking-fee services, etc. These often require users to furnish their data to the service provider, who could potentially breach their privacy. We shall discuss ways to preserve the location and ID of the users. We shall also provide a framework for assisting with emergencies like accidents. Several measures proposed in this thesis may also be used in other situations

Unchained Cellular Obfuscation Areas for Location Privacy in Continuous Location-Based Service Queries

To access location-based service (LBS) and query surrounding points of interest (POIs), smartphone users typically use built-in positioning functions of their phones when traveling at unfamiliar places. However, when a query is submitted, personal information may be leaked when they provide their real location. Current LBS privacy protection schemes fail to simultaneously consider real map conditions and continuous querying, and they cannot guarantee privacy protection when the obfuscation algorithm is known. To provide users with secure and effective LBSs, we developed an unchained regional privacy protection method that combines query logs and chained cellular obfuscation areas. It adopts a multiuser anonymizer architecture to prevent attackers from predicting user travel routes by using background information derived from maps (e.g., traffic speed limits). The proposed scheme is completely transparent to users when performing continuous location-based queries, and it combines the method with actual road maps to generate unchained obfuscation areas that conceal the actual locations of users. In addition to using a caching approach to enhance performance, the proposed scheme also considers popular tourist POIs to enhance the cache data hit ratio and query performance

Factors Influencing Customer Satisfaction towards E-shopping in Malaysia

Online shopping or e-shopping has changed the world of business and quite a few people have decided to work with these features. What their primary concerns precisely and the responses from the globalisation are the competency of incorporation while doing their businesses. E-shopping has also increased substantially in Malaysia in recent years. The rapid increase in the e-commerce industry in Malaysia has created the demand to emphasize on how to increase customer satisfaction while operating in the e-retailing environment. It is very important that customers are satisfied with the website, or else, they would not return. Therefore, a crucial fact to look into is that companies must ensure that their customers are satisfied with their purchases that are really essential from the ecommerce’s point of view. With is in mind, this study aimed at investigating customer satisfaction towards e-shopping in Malaysia. A total of 400 questionnaires were distributed among students randomly selected from various public and private universities located within Klang valley area. Total 369 questionnaires were returned, out of which 341 questionnaires were found usable for further analysis. Finally, SEM was employed to test the hypotheses. This study found that customer satisfaction towards e-shopping in Malaysia is to a great extent influenced by ease of use, trust, design of the website, online security and e-service quality. Finally, recommendations and future study direction is provided. Keywords: E-shopping, Customer satisfaction, Trust, Online security, E-service quality, Malaysia

Factors for Sustainable Operations in the FinTech Industry. A Survey of Nigerian Users, Providers and Regulators.

This research looks at the success and failure rates of FinTech (Financial Technology) industries in Nigeria, and the factors responsible for its sustainability. FinTech global investment now makes up a multi-billion-dollar industry. The Financial sector, which is the backbone of economic growth in Nigeria is dominated by start-ups that offer technological solutions to products and services. The suggested approach enables the researcher to explore the complexity of the FinTech ecosystem, the stakeholders’ inter-relations, and critical success factors responsible for achieving and maintaining success in the industry. This also allows a better understanding of the different factors of success and failure, which have been generally identified as regulatory support, customer centricity, stakeholders’ partnership with incumbents, technology (including innovation), infrastructure, business environment and trust, as well as poor business plans, poor management, poor location, lack of inventory, uncontrolled growth, poor financial control, lack of funds or experience, lack of a strategic plan and many others. Consequently, the study reviews the global FinTech, with emphasis on countries and hubs that have been ranked successful in terms of FinTech operations, both in the developed and emerging markets which allows for the correlation of these business success and failure factors with the growth and sustainability of the industry in such countries. The research draws upon 20 interviews (unstructured, semi-structured, and highly structured) with high profile stakeholders of the FinTech industry, across the different components of the ecosystem. NVivo 11 was used to assist in the thematic analysis of the transcribed audios. This helped to identify, from different perspectives, the challenges faced by stakeholders in Nigeria. This, therefore, makes this research a mix of the current practices, perception, and respective roles concerning the issues of FinTech success and sustainability in Nigeria. Three basic themes (with several sub-themes) emerged from the empirical study as areas of most concern to FinTech sustainability in Nigeria: Financial Inclusion, Sustainability and, Regulation and Compliance. The outcome of this research is an outline of a robust framework proposed at addressing the factors affecting sustainable operations in the Nigerian FinTech industry. As a way of building the framework, solutions have been proposed under the studied themes listed above that were identified as impediments to success. This study outcome is also a useful addition to the body of knowledge and academic research that pertains to financial technology growth and sustainability in Nigeria and globally