Performance analysis tool for network analysis on team sports: a case study of FIFA Soccer World Cup 2014

The study of teammates’ interaction on team sports has been growing in the last few years. Nevertheless, no specific software has been developed so far to do this in a user-friendly manner. Therefore, the aim of this study was to introduce a software called the Performance Analysis Tool that allows the user to quickly record the teammates’ interaction and automatically generate the outputs in adjacency matrices that can then be imported by social network analysis software such as SocNetV. Moreover, it was also the aim of this study to process the data in a real-life scenario, thus the seven matches of the German national soccer team in the FIFA World Cup 2014 were used to test the software and then compute the network metrics. A dataset of 3032 passes between teammates in seven soccer matches was generated with the Performance Analysis Tool software, which permitted a study of the network structure. The analysis of variance of centrality metrics between different tactical positions was made. The two-way multivariate analysis of variance revealed that the strategic position (γ=1.305 ; F = 24.394; p = 0.001; η2p=0.652 ; large effect size) had significant main effects on the centrality measures. No statistical differences were found in the phase of competition (γ=0.003 ; F = 0.097; p = 0.907; η2p=0.003 ; very small effect size). The network approach revealed that the German national soccer team based their attacking process on positional attacks and not in counter-attack, and the midfielders were the prominent players followed by the central defenders. The Performance Analysis Tool software allowed the user to quickly identify the teammates’ interactions and extract the network data for process and analysis.info:eu-repo/semantics/publishedVersio

TECHNO-ECONOMIC AND REGULATORY ANALYSIS OF LICENSED ASSISTED ACCESS (LAA) IMPLEMENTATION FOR CELLULAR MOBILE NETWORK IN URBAN AREA CASE STUDY: MOBILE NETWORK OPERATOR IN BANDUNG

Nowadays, users of a mobile network increase rapidly, proven by internet services that are accessed mostly through mobile broadband usage. Wireless mobile broadband technology uses limited resources, namely, the frequency spectrum whose allocation is restricted. Thus, the licensed frequency for mobile broadband is facing a problem, i.e., spectrum scarcity. 3GPP sees this opportunity by launching LTE-Advanced Pro (4.9 G) technology through 3GPP Release-13, namely Licensed Assisted Access (LAA). LAA uses carrier aggregation technology between the licensed band and an unlicensed band of 5 GHz. It aims to increase network capacity and increase downlink speed. Indonesia represents one of the largest countries in the world, and the number of mobile broadband users is one of the largest. Especially in some big cities with the urban area and high-density mobile user, it is difficult to deploy more LAA sites in MNO point of view, due to its difficult site acquisition. Thus LAA deployment in Indonesia is required, especially in the urban area. Therefore, we do study comprehensive about technical, economic, and regulatory analysis of LAA deployment in the urban area, in this case, MNO in Bandung, where has a high density of mobile user. There are capacity and coverage analysis in the technical aspect. The capacity analysis aims to compare existing required traffic capacity and capacity allowed by the existing LTE site so that we can determine how much the additional capacity and how many LAA site must be deployed. While coverage analysis aims to calculate and predict the coverage, both indoor and outdoor LAA site. Economic analysis has a goal to do a business feasibility test of LAA deployment from the MNO point of view. Afterward, the regulation analysis contains explaining existing regulation about LAA in Indonesia, listing some benchmarks of 5 GHz usage over the world, and determining the recommendation related to the LAA regulation. The results of the analysis will be explained as follows. Based on technical analysis, LAA can increase the capacity of LTE, especially in urban areas, by utilizing unlicensed 5 GHz frequency. The additional capacity by LAA is as much as the capacity that LTE BTS is unable to serve anymore. In business analysis, LAA deployment in urban areas is feasible. The value of the feasibility test indicators is as follows: IDR 4,799,111,344 of NPV; 16.96% of IRR; 7 years three months of PP; and 1.024 of PI. Based on sensitivity analysis, the most impactful parameters of the business are the number of LAA penetration and the growth of the LAA-enabled device. Then, in resource regulation perspective, outdoor LAA operating license needs to be added to the frequency range of 5.2 and 5.3 GHz as well as the USA and Canada, not just in 5.8 GHz. Keywords: Enhancing capacity, Licensed Assisted Access (LAA), Techno-Economic Analysis, Urban are

Reducing wildland fire hazard exploiting complex network theory. A case study analysis

We discuss a new systematic methodology to mitigate wildland fire hazard by appropriately distributing fuel breaks in space. In particular, motivated by the concept of information flow in complex networks we create a hierarchical allocation of the landscape patches that facilitate the fire propagation based on the Bonacich centrality. Reducing the fuel load in these critical patches results to lower levels of fire hazard. For illustration purposes we apply the proposed strategy to a real case of wildland fire. In particular we focus on the wildland fire that occurred in Spetses Island, Greece in 1990 and burned the one third of the forest. The efficiency of the proposed strategy is compared against the benchmark of random distribution of fuel breaks for a wide range of fuel breaks densities

Network Traffic Analysis: A Case Study of ABU Network

The Internet is being viewed as a critical component of success by the researchers, teachers and students in the Universities and Colleges. The Objectives of thesis is to identify unproductive network based applications responsible for consuming valuable bandwidth of University network system and to enhance utility of productive applications on a University network. This research work, geared towards analysis on the internet traffic network’s of Ahmadu Bello University (ABU), Zaria as a case study. the monitoring of network traffic was conducted by bandwidth monitoring software, a packet sniffer (using Wireshark Version 165, SVR Rev 40429) configured as a gateway between the University network system and the internet over a 90-day monitoring period in a schedule of 15 minutes daily, 30 minutes weekly and 2 hours monthly. The data (packets) captures was further analysed using MATLAB which is a tool for graphing network data from which conclusions from the graphs was drawn that ABU’s current network traffic is underutilized and far from optimal in terms of Internet Inbound/Outbound traffic generated by its users (staff/students). It has also been observed that defensive bandwidth management is insufficient in respect to the institution’s aims and objectives on its network usage. This emphasises the need for improved bandwidth management and optimization. Keyword: Network monitoring traffic, Monitoring software (packet sniffer), Packet capture and Traffic analysis.

AUTOMOTIVE INDUSTRY ANALYSIS BASED ON SOCIAL NETWORK SERVICES CONTENT (CASE STUDY: GENERAL MOTORS AND VOLKSWAGEN IN TWITTER, FACEBOOK AND INSTAGRAM)

Digital flows now exert a larger impact, the world is now more connected than ever, the amount of cross-border bandwidth that used has grown 45 times larger since 2005. With the massive amount of data spreading in the net, including social media. Speed is one most essential factor in business. companies can take advantage of social media as a source to be analyze and extract the customer’s opinion, and therefore the company can have quick response towards the condition. The main purpose of this research is content analysis, to obtain the goal, we need to extract the information as well as summarize the topic inside it. However, in order to analyze the content quickly, there are varies choice of tools with its specific output that creates challenges in the process. The author use text network to map the connection between word, Naïve Bayes Sentiment Analysis, and topic modelling based on Latent Dirichlet Allocation (LDA) to evaluate the sentiment of the topic as well as the model of the topics discussed. This research is intended to help both companies and individuals to map the public opinion towards certain topic by visualizing network of the word, analyzing the sentiment of the text, and create a topic model. Therefore, a real time information for determining the consumer opinion become crucial part. Twitter, Facebook, Instagram as most used platform in the world can serve the purpose as a source of real time information from user generated content. The author picks automotive industry, with General Motors and Volkswagen brand as the case study, viewed as one of the most known automotive brand, and topped off the revenue of automotive brand sales

Learning difficulties: collaborative inter-organisational information system use within UK retail supply networks

Inter-organisational information systems (IOIS) have been introduced to support collaborative retail supply relationships, yet how these systems are used is not well understood. This paper presents analysis of an ideographic case study of a dynamic United Kingdom grocery sector supply network. Using Archer's (1995) social change theory we explore how changes to buyer-supplier relationship structures re-conditioned individual actors' situational logics in a way that created network learning difficulties. Our analysis shows how actors' inter-organisational information system use reinforced pre-existing bargaining positions and improved already powerful actors' relative negotiating strength. This paper demonstrates the value of multi-level analysis in furthering understanding of the complex relationships between processes of network and individual learning