K-MEANS ALGORITHM DATA MINING IN SALES LEVEL ANALYSIS

In this research, data collection and processing of sales of electronic goods were carried out with CV. Berkah Elektronik. The data obtained is then aggregated with the K-Means algorithm to gain knowledge about which electronic products are selling well on the market and which are not. In this study, the clustering method was used with Tanagra 1.4.48 software, and the K-Means algorithm was used as an algorithm to draw conclusions about which items were selling well and which were not inputted, namely product prices. goods and sale of goods. And from the results of testing and manual testing with the Tanagra application, the same clusters are produced, namely, products that do not sell well (Cluster_KMeans_1) and products that sell well (Cluster_KMeans_2)

Proceedings of the 2nd IUI Workshop on Interacting with Smart Objects

These are the Proceedings of the 2nd IUI Workshop on Interacting with Smart Objects. Objects that we use in our everyday life are expanding their restricted interaction capabilities and provide functionalities that go far beyond their original functionality. They feature computing capabilities and are thus able to capture information, process and store it and interact with their environments, turning them into smart objects

Human Motion Analysis Using Very Few Inertial Measurement Units

Realistic character animation and human motion analysis have become major topics of research. In this doctoral research work, three different aspects of human motion analysis and synthesis have been explored. Firstly, on the level of better management of tens of gigabytes of publicly available human motion capture data sets, a relational database approach has been proposed. We show that organizing motion capture data in a relational database provides several benefits such as centralized access to major freely available mocap data sets, fast search and retrieval of data, annotations based retrieval of contents, entertaining data from non-mocap sensor modalities etc. Moreover, the same idea is also proposed for managing quadruped motion capture data. Secondly, a new method of full body human motion reconstruction using very sparse configuration of sensors is proposed. In this setup, two sensor are attached to the upper extremities and one sensor is attached to the lower trunk. The lower trunk sensor is used to estimate ground contacts, which are later used in the reconstruction process along with the low dimensional inputs from the sensors attached to the upper extremities. The reconstruction results of the proposed method have been compared with the reconstruction results of the existing approaches and it has been observed that the proposed method generates lower average reconstruction errors. Thirdly, in the field of human motion analysis, a novel method of estimation of human soft biometrics such as gender, height, and age from the inertial data of a simple human walk is proposed. The proposed method extracts several features from the time and frequency domains for each individual step. A random forest classifier is fed with the extracted features in order to estimate the soft biometrics of a human. The results of classification have shown that it is possible with a higher accuracy to estimate the gender, height, and age of a human from the inertial data of a single step of his/her walk

CHORUS Deliverable 2.2: Second report - identification of multi-disciplinary key issues for gap analysis toward EU multimedia search engines roadmap

After addressing the state-of-the-art during the first year of Chorus and establishing the existing landscape in multimedia search engines, we have identified and analyzed gaps within European research effort during our second year. In this period we focused on three directions, notably technological issues, user-centred issues and use-cases and socio- economic and legal aspects. These were assessed by two central studies: firstly, a concerted vision of functional breakdown of generic multimedia search engine, and secondly, a representative use-cases descriptions with the related discussion on requirement for technological challenges. Both studies have been carried out in cooperation and consultation with the community at large through EC concertation meetings (multimedia search engines cluster), several meetings with our Think-Tank, presentations in international conferences, and surveys addressed to EU projects coordinators as well as National initiatives coordinators. Based on the obtained feedback we identified two types of gaps, namely core technological gaps that involve research challenges, and “enablers”, which are not necessarily technical research challenges, but have impact on innovation progress. New socio-economic trends are presented as well as emerging legal challenges

From New Public Management to Lean thinking: understanding and managing 'potentially avoidable failure induced demand'

The central objective of this thesis is to investigate, understand and explain the conditions under which the administrative problem known as potentially avoidable failure induced demand (PAFID) arises in UK public services and might be prevented. PAFID is defined as “customer contacts that appear to be precipitated by earlier failures, such as failures to do things right first time, which cause additional and potentially avoidable demands to impinge upon public services”. A secondary objective of the thesis is to establish how, and under what better conditions, the public sector could successfully exploit the management paradigm called Lean thinking, as an alternative to the current New Public Management method, in order to address the PAFID problem. An analysis of the results from three case-studies conducted in UK local authority settings confirms that nearly half of all customer contacts in high-volume services such as housing benefits are potentially avoidable. The extrapolation of this finding to the contact volumes and handling costs in one UK council alone suggests possible savings of more than £1 million a year. The potential benefits that are available to the case-study councils and nearly 500 other local councils, together with numerous other providers of UK public services, are also very substantial. A variety of conceptual lenses are applied to the PAFID problem in order to generate alternative explanations and policy options. This thesis makes a number of contributions to public sector management theory and practice, including the finding that councils might reduce principal-agent problems that add to PAFID by espousing more supportive and enabling environments, and by adopting systems-oriented approaches that acknowledge the complex and subjective nature of real-world problems. The findings also suggest that, while the deployment of Lean ‘tools’ can result in short-term savings and performance improvements, the adoption of Lean thinking as a comprehensive management approach is more likely to bring about fundamental changes