We will review some of the major results in random graphs and some of the more challenging open problems. We will cover algorithmic and structural questions. We will touch on newer models, including those related to the WWW.

Random graphs

Fractional Differential Equations

/pdf/research-design-qualitative-quantitative-and-mixed-methods-1m92m1x5gg.pdf

Research Design: Qualitative, Quantitative, and Mixed Methods Approaches

The questionnaires from the field were received, checked and stored by the data processing personnel. They checked: 1. The completeness of the questionnaires 2. The correct bubbling 3. The correct number of questionnaires per household, if total males + total females > 8 as the questionnaire ONLY accommodated maximum of 8 household members. 4. The reference number appears in all the 10 pages of the questionnaires.

Population and Housing Census

aimed to attract a more diverse audience of gamers and non-gamers – and to bring video games off the screen and into the living room. While not all games are well suited for multiplayer play – ‘It’s hard to avoid getting in each other’s way and impeding rather than advancing game progress’ (p. 133) – most games are intended to be played while in the room with other people. ‘The Wii is just the latest attempt by Nintendo to bring a version of this kind of social gaming into the living room, closer to arcade parties and karaoke than to, say, bouts of online multiplayer military simulations’ (p. 142). Jones and Thiruvathukal’s book is as much a user’s manual for the potential of the Nintendo Wii as it is an academic and technical deconstruction of the console as a computing platform. Their joint approach to considering the topic works well, but it isn’t until the very end of the book that Jones’ cultural contextual approach really shines. In the final six pages of the sixth chapter (pp. 143–148), the authors consider the paratext of the Wii, as well as the diegetic and nondiegetic elements of video games – and the various layers of the platform and the games, interactions and activities it supports. ‘This social layer of a video game platform is an essential part of what the system means, because it’s the environment in which the platform gets used’ (p. 148). Much of the existing literature on Nintendo – such as Osamu Inoue’s (2010) Nintendo Magic: Winning the Videogame Wars and Jeff Ryan’s (2011) Super Mario: How Nintendo Conquered America – concentrates on the company’s success as a business. The more technical literature to date focuses on the use of the Wii Balance Board, another controller for the platform, in healthcare and therapeutic settings. This text sits comfortably in the middle, Wiimote and Nunchuk controllers in hand, making a valuable contribution to the study of the Nintendo Wii and how technology and culture work together.

It’s Complicated: The Social Lives of Networked Teens

The rapid increase of information and accessibility in recent years has activated a paradigm shift in algorithm design for artificial intelligence. Recently, deep learning (a surrogate of Machine Learning) have won several contests in pattern recognition and machine learning. This review comprehensively summarises relevant studies, much of it from prior state-of-the-art techniques. This paper also discusses the motivations and principles regarding learning algorithms for deep architectures.

A Review of Deep Machine Learning

/pdf/water-resources-assessment-of-the-volta-river-basin-2cwmjz6xi0.pdf

Water resources assessment of the Volta River Basin.

Increasing climate variability and challenge in access to water pose major impediments to rainfed agricultural productivity. Extensive flooding of agricultural lands during the rainy season and lack of water during the 8-month long dry season affect the livelihood of the people in the northern Ghana, a situation that calls for better water management practices. The use of aquifer storage and recharge (ASR) based technique, helps to reduce flooding and improve access to water during the dry season; however such technology has specific requirements for successful implementation. This study assesses suitable areas for the technology in the northern Ghana terrain using multi criteria decision analysis (MCDA) in ArcGIS environment. The result suggests around 66% (48,516 km2) of the crop area in the northern Ghana available for the technology are within moderate to very high suitable sites, of which 44% (29,490 km2) fall into the high and very high suitable sites. This could imply high potential for the artificial groundwater storage system in northern Ghana given other conditions.

/pdf/assessing-land-suitability-for-aquifer-storage-and-recharge-3m3a680bn0.pdf

Assessing land suitability for aquifer storage and recharge in northern Ghana using remote sensing and GIS multi-criteria decision analysis technique

Particle swarm optimization (PSO) is a heuristic global optimization method. PSO was motivated by the social behavior of organisms, such as bird flocking, fish schooling and human social relations. Its properties of low constraint on the continuity of objective function and the ability to adapt various dynamic environments, makes PSO one of the most important swarm intelligence algorithms and ostensibly the most commonly used optimization technique. This survey presents a comprehensive investigation of PSO and in particular, a proposed theoretical framework to improve its implementation. We hope that this survey would be beneficial to researchers studying PSO algorithms and would also serve as the substratum for future research in the study area, particularly those pursuing their career in artificial intelligence. In the end, some important conclusions and possible research directions of PSO that need to be studied in the future are proposed.

Benjamin Ghansah

Papers

A Review of Deep Machine Learning

Water resources assessment of the Volta River Basin.

Assessing land suitability for aquifer storage and recharge in northern Ghana using remote sensing and GIS multi-criteria decision analysis technique

A Comprehensive Review of Particle Swarm Optimization

Assessing urban growth in Ghana using machine learning and intensity analysis: A case study of the New Juaben Municipality