The Big Analytics Book Project Is an Aggregation of Articles That Best Represent Thoughts by Some of the Leading Minds in the Data Analytics Industry
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Mapping the Space of Location-Based Services 5
CHARLIEDETAR MAPPINGTHESPACEOFLOCATION- BASEDSERVICES 2 charlie detar Abstract This paper is an attempt to both summarize the current state of Lo- cation Based Services (LBS), and to unpack and problematize the underlying assumptions on which they operate. Location based ser- vices — including applications for mapping and navigation, social networking, gaming, and tourism and information services — are all based on the idea that information about a user’s location can be used to adapt the content and user interface of a service, improving it. However, the “location” used by these systems is usually restricted to data-poor representations such as geographic coordinates, and as such provides an insufficient cue for the rich and culturally contin- gent context embodied in the notion of a “place”. I will argue that developers should consider both the salience of the particular place- or space-based context to their application domain, and the potential impacts the application will have on a user’s sense of place when designing location based services. Contents 1 Introduction: Location, Location, Location 4 2 Space: the geometry of location 7 3 Place: the interpretation of location 12 4 Technology of space and place 17 5 Space, place, and location based services 22 6 Conclusion 45 7 Bibliography 46 1 Introduction: Location, Location, Location Location is a deep component of how we experience the world — it encapsulates not only a mathematical abstraction for our positions in space, but also a rich set of cultural meanings that we associate with particular places, which bound and contextualize our experience. The concept of “place” combines both geography and sociality — one has a “place” in relation to other people (and deviant behavior is “out of place”). -
Organization, Planning, and Decision Making Strategy and Innovation to Describe What It Takes to ■ Keystone Strategy LLC (
(continued from front fl ap) SINOFSKY $39.95 USA /$47.95 CAN IANSITI functions, building on his original research in the development of innovative products. Revealing insights into successfully making the leap from strategy to execution Learn from the concepts, capabilities, processes, and behaviors that aligned around one strategy One Strategy examines the concepts, capabilities, processes, and behaviors with the hard-won, fi rst-person insight found in that are essential to aligning an organization around one strategy. One Strategy. Learn some of the key management tools and processes the Windows 7 team put in place to manage strategy and execution. The themes in One his book challenges traditional views of strat- STEVEN SINOFSKY is President of the Win- Strategy are backed up through examples of internal blogs by Microsoft Tegy and operational execution—views that say dows and Windows Live Division at Microsoft Cor- Division President Steven Sinofsky and merged with insightful context strategy comes from a small group of select people poration. Prior to this position, he worked on the from technology and operations strategy expert Marco Iansiti, the David or that an innovative strategy can only emerge development of Microsoft Offi ce from 1994–2006 Sarnoff Professor of Business Administration at Harvard Business School. from a distinct organizational spinoff. Aligning a and, prior to that, worked on Microsoft’s develop- complex organization around one strategy requires All about developing and executing great, innovative strategies, One Strat- all members of a team to participate—learning, ment tools. egy reveals it is possible to build the right organizational capabilities and sharing, communicating, and contributing to the base of understanding, generate insightful strategies, develop detailed team’s success. -
Course Curriculum of Ph.D. Programme Agriculture/Horticulture
Course Curriculum of Ph.D. Programme Agriculture/Horticulture * Agronomy * Agricultural Economics * Entomology * Extension Education * Plant Breeding & Genetics * Plant Pathology * Soil Science & Agricultural Chemistry * Horticulture – Fruit Science * Horticulture – Vegetable Science Rajmata Vijayaraje Scindia Krishi Vishwa Vidyalaya Gwalior–474002 (M.P.) 187 Department of Agronomy Ist Semester Course No. Title Credit Major Courses Agron 601 Current Trends in Agronomy 3+1 Agron 604 Advances in crop growth & productivity 2+1 Agron 605 Irrigation management 2+1 Minor Courses Soils 602 Advances in soil fertility 2+0 Soils 605 Biochemistry of Soil organic matter 2+0 Supporting Courses STAT 521 Applied Regression Analysis 2+1 Non-Credit Courses PGS501 Library &Information Services 0+1 PGS502 Technical Writing & Communication Skill 0+1 PGS503 Intellectual property& Its management in 1+0 Agriculture IInd Semester Major Courses Agron 606 Advance in weed management 2+0 Agron 607 Integrated farming system and sustainable 2+0 agriculture Agron 608 Soil conservation & watershed management 2+1 189 Minor Courses Soils 505 Soil Erosion & conservation 2+1 Soils 606 Land use planning & watershed management 2+0 Supporting Courses STAT 531 Data Analysis Using Statistical Analysis 2+0 Non-Credit Courses PGS504 Basic Concept in Laboratory Technique 0+1 PGS505 Agricultural Research, Research Ethics and 1+0 Rural development program PGS506 Disaster Management 1+0 IIIrd –IVth Semester Agron. 691 Doctoral Seminar I 0+1 Agron. 692 Doctoral Seminar II 0+1 IVth –VIth Semester Agron. 699 Doctoral Research 0+45 190 AGRON 601 Current Trends in Agronomy 3+0 Objective To acquaint the students about recent advances in agricultural production. -
A Novel Architecture for Internet of Things in Precision Agriculture
International Journal of Applied Engineering Research ISSN 0973-4562 Volume 15, Number 3 (2020) pp. 204-211 © Research India Publications. http://www.ripublication.com A Novel Architecture For Internet of Things in Precision Agriculture Jisha Jayadevan Smitha M Jasmine Department of Computer Science and Engineering Assistant Professor College of Engineering and Management Punnapra, Department of Computer Science and Engineering Alappuzha, India. College of Engineering and Management Punnapra, (E-Mail: [email protected]) Alappuzha, India. (E-Mail: [email protected]) Suresh Kumar N Associate Professor Department of Computer Science and Engineering College of Engineering and Management Punnapra, Alappuzha, India. (E-Mail: [email protected]) Abstract IoT keeps the devices or things interconnected and uses in a Internet of Things is the most evolving technology that productive way to such an extent that the information is changes the face of the world. However, the agriculture gathered and communicated utilizing the Internet without domain in India lacks technological advancements. The use of human interaction. Smart homes and buildings, wearables, the Internet of Things in agriculture can make devices smart cities, smart grid, healthcare, smart farming, autonomous to collect data or information required to increase transportation, smart retail and logistics are some application the yield of Agri-products in a scientific way. Precision domains of IoT [2]. The main components of IoT are sensors Agriculture is an approach for farm management to make sure or devices, connectivity, data processing, and user interface. that the crops and fields receive whatever resources they need The internal working of IoT is depicted in Fig. 1. Sensors or for maintaining optimal health and productivity through the devices are deployed and programmed to collect the data from use of information technology. -
Inside Windows 10 - an Early Look at Microsoft’S Newest Operating System Volume 1 - by Onuora Amobi
0 www.windows10update.com – Comprehensive Windows 10 News Copyright Notice INSIDE WINDOWS 10 - AN EARLY LOOK AT MICROSOFT’S NEWEST OPERATING SYSTEM VOLUME 1 - BY ONUORA AMOBI ©2015 Nnigma Inc. All rights reserved. Any unauthorized use, sharing, reproduction or distribution of these materials by any means, electronic, mechanical, or otherwise is strictly prohibited. No portion of these materials may be reproduced in any manner whatsoever, without the express written consent of the Publisher or Author. Published under the Copyright Laws of The United States of America by: Nnigma Inc. 3579 East Foothill Blvd, Suite #254 Pasadena, CA 91107 www.Nnigma.com i www.windows10update.com – Comprehensive Windows 10 News Legal Notice While all attempts have been made to verify information provided in this publication, neither the author nor the publisher assumes any responsibility for errors, omissions or contradictory interpretation of the subject matter herein. This publication is not intended to be used as a source of binding technical, technological, legal or accounting advice. Please remember that the information contained may be subject to varying state and/or local laws or regulations that may apply to the user’s particular practice. The purchaser or reader of this publication assumes responsibility for the use of these materials and information. Adherence to all applicable laws and regulations, both federal, state, and local, governing professional licensing, business practices, advertising and any other aspects of doing business in the US or any other jurisdiction is the sole responsibility of the purchaser or reader. Nnigma Inc. assumes no responsibility or liability whatsoever on behalf of any purchaser or reader of these materials. -
Location-Aware Applications Considering the Impact of Privacy Legislation
Richard Ferraro Murat Aktihanoglu MANNING Location Aware Applications Richard Ferraro Murat Aktihanoglu Chapter 10 Copyright 2011 Manning Publications brief contents PART 1LBS, THE BIG PICTURE 1 ■ Location-based services: an overview 2 ■ Positioning technologies 3 ■ Mapping 4 ■ Content options PART 2TECHNOLOGY 5 ■ Consumer applications 6 ■ Mobile platforms 7 ■ Connectivity issues 8 ■ Server-side integration PART 3CREATING WINNING LBS BUSINESSES 9 ■ Monetization of location-based services 10 ■ The privacy debate 11 ■ Distributing your application 12 ■ Securing your business idea v The privacy debate This chapter covers Explaining what privacy really means Exploring the two sides of the privacy debate Understanding who manages privacy within location-aware applications Considering the impact of privacy legislation We started part 3, the final part of the book, by discussing in chapter 9 the different ways in which we can monetize location -aware applications and ser vices. Where these services are directed at the general public, extra care is required because of the ongoing debate over privacy of location data. If you were to survey an expert panel of mobile and web professionals about what they thought was the number-one hurdle to a wider and faster spread of LBS, we’d bet a large sum of money that their answer would be “privacy concerns.” More and more, the terms privacy and location are mentioned together (try Googling for the two terms together, and you’ll get over 1,980,000,000 entries), and the driver behind this is that people value their locational privacy above all 214 What do we mean by privacy? 215 other types of privacy (religious privacy, cultural privacy, behavioral privacy, and so on). -
NGO Perspectives on the Social and Ethical Dimensions of Plant Genome- Editing
NGO perspectives on the social and ethical dimensions of plant genome- editing Richard Helliwell, Sarah Hartley, Warren Pearce Abstract Plant genome editing has the potential to become another chapter in the intractable debate that has dogged agricultural biotechnology. In 2016, 107 Nobel Laureates accused Greenpeace of emotional and dogmatic campaigning against agricultural biotechnology and called for governments to defy such campaigning. The Laureates invoke the authority of science to argue that Greenpeace is putting lives at risk by opposing agricultural biotechnology and Golden Rice and is notable in framing Greenpeace as unethical and its views as marginal. This paper examines environmental, food and farming NGOs’ social and ethical concerns about genome editing, situating these concerns in comparison to alternative ethical assessments provided by the Nuffield Council on Bioethics, a key actor in this policy debate. In doing so, we show that participant NGOs and the Nuffield Council on Bioethics share considerable concerns about the social and ethical implications of genome editing. These concerns include choices over problem/solution framing and broader terminology, implications of regulatory and research choices on consumer choice and relations of power. However, GM-engaged NGOs and the Nuffield Council on Bioethics diverge on one important area: the NGOs seek to challenge the existing order and broaden the scope of debate to include deeply political questions regarding agricultural and technological choices. This distinction between the ethical positions means that NGOs provide valuable ethical insight and a useful lens to open up debate and discussion on the role of emerging technologies, such as genome editing, and the future of agriculture and food sovereignty. -
Frown: Steven Sinofsky Sent: Friday. May 01, 1998 11:33 PM To: Bob Muglia (Exdnange); Jon D~Vaan Subject: Monday Meeting: Polar Server Issues
Frown: Steven Sinofsky Sent: Friday. May 01, 1998 11:33 PM To: Bob Muglia (Exdnange); Jon D~Vaan Subject: Monday Meeting: Polar server issues I’ve spent the bulk of this week dealing with folks on the issue of Polar (now, unfortunately, Office Server). This mail is my suggestion for moving forward. The current problems are Lhreefold I believe: ¯ As currentty defined, the problem is essentially "produce a SKU". Although people can come up with many product visions around the SKU, the paramount importance is being applied to it being a SKU and it being available. Despite the disagreement ! have with this, I’ll take it as a given.. .... vi ¯ There are too many groups that think they are working on various eements of th~s problem (ODE/Ka , SiteServer/1.onKauf, BackOffice/?, and our tiny teampages project got dragged in as well). As such, the project lacks any formal structure which could reinforce the first goal. A first step would be assigning a traditional triad to work on this (dev mgr, test mgr, gpm). As a note there are a bunch of other teams that think this is their "turf" such as teamserver (which is really duplicated a lot of stuff). The current plans suffer in two dimensions: lack of relevant customer input and a lack of defining and building any substantial asset. Having multiple groups working on this is a real problem since each is approaching it, with limited information, from a very different perspective and the thoughts do not add up. The ODE has sort of evolved into a new variant of a Hessage Queue that doesn’t really use HTTP (as I understand it). -
Machine Learning Is Driving an Innovation Wave in Saas Software
Machine Learning is Driving an Innovation Wave in SaaS Software By Jeff Houston, CFA [email protected] | 512.364.2258 SaaS software vendors are enhancing their soluti ons with machine learning (ML) algorithms. ML is the ability of a computer to either automate or recommend appropriate actions by applying probability to data with a feedback loop that enables learning. We view ML as a subset of artificial intelligence (AI), which represents a broad collection of tools that include/leverage ML, such as natural language processing (NLP), self-driving cars, and robotics as well as some that are tangent to ML, such as logical rule-based algorithms. Although there have been multiple “AI Winters” since the 1950s where hype cycles were followed by a dearth of funding, ML is now an enduring innovation driver, in our opinion, due in part to the increasing ubiquity of affordable cloud-based processing power, data storage—we expect the pace of breakthroughs to accelerate. automation, customer support, marketing, and human resources) through both organic and M&A These innovations will make it easier for companies initiatives. As for vertical-specific solutions, we think to benefit beyond what is available with traditional that a new crop of vendors will embrace ML and business intelligence (BI) solutions, like IBM/ achieve billion-dollar valuations. VCs are making big Cognos and Tableau, that simply describe what bets that these hypotheses will come to fruition as happened in the past. New ML solutions are demonstrated by the $5B they poured into 550 amplifying intelligence while enabling consistent and startups using AI as a core part of their solution in better-informed reasoning, behaving as thought 20162. -
Information and Communication Technology (ICT) in Agriculture
Information and Communication Technology (ICT) in Agriculture A Report to the G20 Agricultural Deputies 1 Information and Communication Technology (ICT) in Agriculture A Report to the G20 Agricultural Deputies Prepared by Food and Agriculture Organization of the United Nations (FAO) with inputs from International Food Policy Research Institute (IFPRI) Organization of Economic Cooperation and Development (OECD) Food and Agriculture Organization of the United Nations Rome, 2017 The designations employed and the presentation of material in this information product do not imply the expression of any opinion whatsoever on the part of the Food and Agriculture Organization of the United Nations (FAO) concerning the legal or development status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries. The mention of specific companies or products of manufacturers, whether or not these have been patented, does not imply that these have been endorsed or recommended by FAO in preference to others of a similar nature that are not mentioned. The views expressed in this information product are those of the author(s) and do not necessarily reflect the views or policies of FAO. ISBN 978-92-5-109979-7 © FAO, 2017 FAO encourages the use, reproduction and dissemination of material in this information product. Except where otherwise indicated, material may be copied, downloaded and printed for private study, research and teaching purposes, or for use in non-commercial products or services, provided that appropriate acknowledgement of FAO as the source and copyright holder is given and that FAO’s endorsement of users’ views, products or services is not implied in any way. -
Precision Agriculture: Using Technology to Increase Northern Bobwhite Populations and Farm Revenue
May 2016 WSFNR - 16 - 07 Pub. No. XXX Precision Agriculture: Using Technology to Increase Northern Bobwhite Populations and Farm Revenue Mark D. McConnell Wildlife Outreach Specialist [email protected]; (706) 542-3277 In a landscape dominated by tall corn and lush soybeans it’s not always easy to point out the most productive land from the least. In fact, field productivity (i.e., crop yield) is highly variable for many of reasons. It is usually easiest to see near field edges. We’ve all seen shorter crops near a tree line or next to a turn row. It’s a no brainer that the yield is often lower in these areas. But what’s not so obvious is how much lower. Any farmer worth his salt can tell you where the best and worst areas of his fields are but it takes a little help from technology to put a number on it and assign an economic value. Precision agriculture technology can put a dollar sign on how much revenue is lost on marginal farmland and show how profitability varies spatially. Researchers at Mississippi State University (MSU) have gone a step further and used this technology to simultaneously increase farm revenue and bobwhite populations through informed conservation practice delivery. Historically, northern bobwhites (Figure 1) and agriculture went hand in hand. Fields were smaller, farmers left the margins near tree lines idle, there were more weeds and more bugs and quail thrived in this utopian, early successional environment. We’ve all heard an ‘old timer’ talk about hunting hedgerows and field edges around agriculture fields. -
Privacy Considerations for Secure Identification in Social Wireless
Privacy considerations for secure identification in social wireless networks Master’s degree thesis ELENA KOZHEMYAK Academic supervisor: Sonja Buchegger, KTH External supervisor: Christian Gehrmann, SICS Examiner: Johan Håstad, KTH September 2011 iii Abstract This thesis focuses on privacy aspects of identification and key exchange schemes for mobile social networks. In particular, we consider identification schemes that combine wide area mobile communication with short range com- munication such as Bluetooth, WiFi. The goal of the thesis is to identify possi- ble security threats to personal information of users and to define a framework of security and privacy requirements in the context of mobile social networking. The main focus of the work is on security in closed groups and the procedures of secure registration, identification and invitation of users in mobile social net- works. The thesis includes an evaluation of the proposed identification and key exchange schemes and a proposal for a series of modifications that augments its privacy-preserving capabilities. The ultimate design provides secure and ef- fective identity management in the context of, and in respect to, the protection of user identity privacy in mobile social networks. Keywords: mobile social networks, identity privacy, identity management, pseudonyms. iv Sammanfattning Det här examensarbetet handlar om personlig integritet, identifiering och nyckelutbyte i mobila sociala nätverk. Speciellt adresserar vi dessa aspekter för system som kombinerar mobil kommunikation med kort räckviddskommunika- tion som Bluetooth och WiFi. Målet med detta arbete är att identifiera möjliga säkerhetshot mot användarinformation och att ta fram ett ramverk för säkerhet och krav på personlig integritet i mobila sociala nätverk. Tyngdpunkten i ar- betet ligger på säkerhet i slutna grupper och förfaranden för säker registrering, identifiering och inbjudan av användare i mobila sociala nätverk.