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Introducing Public Administration

Introducing Public Administration

Jay M. Shafritz; E. W. Russell; Christopher P. Borick; Albert C. Hyde

TAYLOR FRANCIS LTD
2022
nidottu
Now in an extensively revised tenth edition, Introducing Public Administration provides students with the conceptual foundation they need, while introducing them to important trends in the discipline. This classic textbook—blending historical accounts with contemporary events—examines the most important issues in the field of public administration through the use of examples from various disciplines and modern culture. Its approach of using extensive case studies at the end of each chapter encourages students to think critically about the nature, purpose, and public value of public administration today.Refreshed and revised throughout, the tenth edition contains a number of critical updates for the field: All-new case studies at the end of each chapter to address various challenges, including social justice, climate change action, smart cities, transforming governmental institutions, and economic responses to the global pandemic. The case studies—many with legal dimensions as well—cover emerging issues and are well suited for further research by students. Two chapters by contributing authors on 1) Social equity and justice, covering contemporary challenges in the US, from police reform to voting rights and homelessness, and 2) Public budgeting, contrasting government fiscal efforts between two recessions, illuminating successes and failures with a case study on the federal government shutdown in 2019 over border wall funding.Keynotes at the start of each chapter to help introduce students to historical figures, contemporary dilemmas, and examples of public service in action, including subjects such as diversity and inclusion, marijuana legalization, organizational effects of remote work, and examining scenarios for the future. A completely rewritten concluding chapter on leadership, followership, and leading teams with a discussion of destructive leadership types and a flipped case study on defining what leadership effectiveness is. Complete with a fully updated companion website containing instructor slides for each chapter, a chapter-by-chapter instructor’s manual and sample syllabus, student learning objectives, and self-test questions, Introducing Public Administration is the ideal introduction to the discipline for first year masters students, as well as for the growing number of undergraduate public administration courses and programs.
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Introducing Public Administration

Introducing Public Administration

Jay M. Shafritz; E. W. Russell; Christopher P. Borick; Albert C. Hyde

TAYLOR FRANCIS LTD
2022
sidottu
Now in an extensively revised tenth edition, Introducing Public Administration provides students with the conceptual foundation they need, while introducing them to important trends in the discipline. This classic textbook—blending historical accounts with contemporary events—examines the most important issues in the field of public administration through the use of examples from various disciplines and modern culture. Its approach of using extensive case studies at the end of each chapter encourages students to think critically about the nature, purpose, and public value of public administration today.Refreshed and revised throughout, the tenth edition contains a number of critical updates for the field: All-new case studies at the end of each chapter to address various challenges, including social justice, climate change action, smart cities, transforming governmental institutions, and economic responses to the global pandemic. The case studies—many with legal dimensions as well—cover emerging issues and are well suited for further research by students. Two chapters by contributing authors on 1) Social equity and justice, covering contemporary challenges in the US, from police reform to voting rights and homelessness, and 2) Public budgeting, contrasting government fiscal efforts between two recessions, illuminating successes and failures with a case study on the federal government shutdown in 2019 over border wall funding.Keynotes at the start of each chapter to help introduce students to historical figures, contemporary dilemmas, and examples of public service in action, including subjects such as diversity and inclusion, marijuana legalization, organizational effects of remote work, and examining scenarios for the future. A completely rewritten concluding chapter on leadership, followership, and leading teams with a discussion of destructive leadership types and a flipped case study on defining what leadership effectiveness is. Complete with a fully updated companion website containing instructor slides for each chapter, a chapter-by-chapter instructor’s manual and sample syllabus, student learning objectives, and self-test questions, Introducing Public Administration is the ideal introduction to the discipline for first year masters students, as well as for the growing number of undergraduate public administration courses and programs.
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Lonely Planet Southwest USA

Lonely Planet Southwest USA

Amy C Balfour; Joel Balsam; Michael Benanav; Jade Bremner; Jay Jones

Lonely Planet Global Limited
2023
nidottu
Lonely Planet's Southwest USA is our most comprehensive guide that extensively covers all the region has to offer, with recommendations for both popular and lesser-known experiences. Marvel at the Grand Canyon, experience unbeatable nightlife in Las Vegas and visit world-class museums in Santa Fe; all with your trusted travel companion.Inside Lonely Planet's Southwest USA Travel Guide:Lonely Planet's Top Picks - a visually inspiring collection of the destination's best experiences and where to have themItineraries help you build the ultimate trip based on your personal needs and interestsLocal insights give you a richer, more rewarding travel experience - whether it's history, people, music, landscapes, wildlife, politicsEating and drinking - get the most out of your gastronomic experience as we reveal the regional dishes and drinks you have to tryToolkit - all of the planning tools for solo travelers, LGBTQIA+ travelers, family travelers and accessible travelColour maps and images throughoutLanguage - essential phrases and language tipsInsider tips to save time and money and get around like a local, avoiding crowds and trouble spotsCovers Nevada, Arizona, New Mexico and UtahAbout Lonely Planet:Lonely Planet, a Red Ventures Company, is the world's number one travel guidebook brand. Providing both inspiring and trustworthy information for every kind of traveller since 1973, Lonely Planet reaches hundreds of millions of travellers each year online and in print and helps them unlock amazing experiences. Visit us at lonelyplanet.com and join our community of followers on Facebook (facebook.com/lonelyplanet), Twitter (@lonelyplanet), Instagram (instagram.com/lonelyplanet), and TikTok (@lonelyplanet).'Lonely Planet. It's on everyone's bookshelves; it's in every traveller's hands. It's on mobile phones. It's on the Internet. It's everywhere, and it's telling entire generations of people how to travel the world.' Fairfax Media (Australia)
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Asia's Quest for Balance

Asia's Quest for Balance

Jay L. Batongbacal; Elliot Brennan; Tetsuo Kotani; Evan A. Laksmana; Joseph Chinyong Liow; Hunter Marston; Rory Medcalf; Sylvia Mishra; C. Raja Mohan; Prashanth Parameswaran; Tran Truong Thuy; Ha Anh Tuan

Rowman Littlefield
2018
sidottu
In recent years the narrative surrounding China’s “peaceful rise” has given way to a more ominous story of friction, ambition, and great-power rivalry. As Chinese foreign policy has grown more nationalist and assertive, its intensifying competition with the U.S. has assumed center stage. The impact on China's neighbors, by contrast, and their evolving responses, have received comparatively less attention. The Realist theory of international relations suggests the rapid accumulation of power by one nation-state will prompt its neighbors and peers to adopt Balancing strategies. They will strive enhance their internal defense capabilities and forge new external security partnerships to hedge against this potential new threat. Have these predictions rung true? Are key Indo-Pacific capitals Balancing, and drawing closer to the U.S. as insurance against Chinese aggression? Or is China a new breed of rising power, challenging traditional theories of international relations in a newly-globalized, economically interdependent world? In Asia’s Quest for Balance: China’s Rise and Balancing in the Indo-Pacific leading author-experts from Australia, India, Indonesia, Japan, Malaysia, Myanmar, the Philippines, Singapore, and Vietnam explore these questions and more, decoding China’s complex and evolving relationships with its neighbors and exploring how their responses are altering the security landscape of the region. Contributions by Jay L. Batongbacal, Elliot Brennan, Tetsuo Kotani, Evan A. Laksmana, Joseph Chinyong Liow, Hunter Marston, Rory Medcalf, Sylvia Mishra, C. Raja Mohan, Prashanth Parameswaran, Jeff M. Smith, Tran Truong Thuy, and Ha Anh Tuan
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Content-Based Audio Classification and Retrieval for Audiovisual Data Parsing

Content-Based Audio Classification and Retrieval for Audiovisual Data Parsing

Tong Zhang; C.C. Jay Kuo

Springer
2001
sidottu
Content-Based Audio Classification and Retrieval for Audiovisual Data Parsing is an up-to-date overview of audio and video content analysis. Included is extensive treatment of audiovisual data segmentation, indexing and retrieval based on multimodal media content analysis, and content-based management of audio data. In addition to the commonly studied audio types such as speech and music, the authors have included hybrid types of sounds that contain more than one kind of audio component such as speech or environmental sound with music in the background. Emphasis is also placed on semantic-level identification and classification of environmental sounds. The authors introduce a new generic audio retrieval system on top of the audio archiving schemes. Both theoretical analysis and implementation issues are presented. The developing MPEG-7 standards are explored. Content-Based Audio Classification and Retrieval for Audiovisual Data Parsing will be especially useful to researchers and graduate level students designing and developing fully functional audiovisual systems for audio/video content parsing of multimedia streams.
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Semantic Video Object Segmentation for Content-Based Multimedia Applications

Semantic Video Object Segmentation for Content-Based Multimedia Applications

Ju Guo; C.-C. Jay Kuo

Springer
2001
sidottu
Semantic Video Object Segmentation for Content-Based Multimedia Applications provides a thorough review of state-of-the-art techniques as well as describing several novel ideas and algorithms for semantic object extraction from image sequences. Semantic object extraction is an essential element in content-based multimedia services, such as the newly developed MPEG4 and MPEG7 standards. An interactive system called SIVOG (Smart Interactive Video Object Generation) is presented, which converts user's semantic input into a form that can be conveniently integrated with low-level video processing. Thus, high-level semantic information and low-level video features are integrated seamlessly into a smart segmentation system. A region and temporal adaptive algorithm was further proposed to improve the efficiency of the SIVOG system so that it is feasible to achieve nearly real-time video object segmentation with robust and accurate performances. Also included is an examination of the shape coding problem and the object segmentation problem simultaneously. Semantic Video Object Segmentation for Content-Based Multimedia Applications will be of great interest to research scientists and graduate-level students working in the area of content-based multimedia representation and applications and its related fields.
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Video Content Analysis Using Multimodal Information

Video Content Analysis Using Multimodal Information

Ying Li; C.C. Jay Kuo

Springer-Verlag New York Inc.
2003
sidottu
With the fast growth ofmultimedia information, content-based video anal- ysis, indexing and representation have attracted increasing attention in re- cent years. Many applications have emerged in these areas such as video- on-demand, distributed multimedia systems, digital video libraries, distance learning/education, entertainment, surveillance and geographical information systems. The need for content-based video indexing and retrieval was also rec- ognized by ISOIMPEG, and a new international standard called "Multimedia Content Description Interface" (or in short, MPEG-7)was initialized in 1998 and finalized in September 2001. In this context, a systematic and thorough review ofexisting approaches as well as the state-of-the-art techniques in video content analysis, indexing and representation areas are investigated and studied in this book. In addition, we will specifically elaborate on a system which analyzes, indexes and abstracts movie contents based on the integration ofmultiple media modalities. Content ofeach part ofthis book is briefly previewed below. In the first part, we segment a video sequence into a set ofcascaded shots, where a shot consistsofone or more continuouslyrecorded image frames. Both raw and compressedvideo data will beinvestigated. Moreover, consideringthat there are always non-story units in real TV programs such as commercials, a novel commercial break detection/extraction scheme is developed which ex- ploits both audio and visual cues to achieve robust results. Specifically, we first employ visual cues such as the video data statistics, the camera cut fre- quency, and the existenceofdelimiting black frames between commercials and programs, to obtain coarse-level detection results.
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Content-Based Audio Classification and Retrieval for Audiovisual Data Parsing

Content-Based Audio Classification and Retrieval for Audiovisual Data Parsing

Tong Zhang; C.C. Jay Kuo

Springer-Verlag New York Inc.
2010
nidottu
Content-Based Audio Classification and Retrieval for Audiovisual Data Parsing is an up-to-date overview of audio and video content analysis. Included is extensive treatment of audiovisual data segmentation, indexing and retrieval based on multimodal media content analysis, and content-based management of audio data. In addition to the commonly studied audio types such as speech and music, the authors have included hybrid types of sounds that contain more than one kind of audio component such as speech or environmental sound with music in the background. Emphasis is also placed on semantic-level identification and classification of environmental sounds. The authors introduce a new generic audio retrieval system on top of the audio archiving schemes. Both theoretical analysis and implementation issues are presented. The developing MPEG-7 standards are explored. Content-Based Audio Classification and Retrieval for Audiovisual Data Parsing will be especially useful to researchers and graduate level students designing and developing fully functional audiovisual systems for audio/video content parsing of multimedia streams.
Vertaile hintoja
Video Content Analysis Using Multimodal Information

Video Content Analysis Using Multimodal Information

Ying Li; C.C. Jay Kuo

Springer-Verlag New York Inc.
2010
nidottu
With the fast growth ofmultimedia information, content-based video anal- ysis, indexing and representation have attracted increasing attention in re- cent years. Many applications have emerged in these areas such as video- on-demand, distributed multimedia systems, digital video libraries, distance learning/education, entertainment, surveillance and geographical information systems. The need for content-based video indexing and retrieval was also rec- ognized by ISOIMPEG, and a new international standard called "Multimedia Content Description Interface" (or in short, MPEG-7)was initialized in 1998 and finalized in September 2001. In this context, a systematic and thorough review ofexisting approaches as well as the state-of-the-art techniques in video content analysis, indexing and representation areas are investigated and studied in this book. In addition, we will specifically elaborate on a system which analyzes, indexes and abstracts movie contents based on the integration ofmultiple media modalities. Content ofeach part ofthis book is briefly previewed below. In the first part, we segment a video sequence into a set ofcascaded shots, where a shot consistsofone or more continuouslyrecorded image frames. Both raw and compressedvideo data will beinvestigated. Moreover, consideringthat there are always non-story units in real TV programs such as commercials, a novel commercial break detection/extraction scheme is developed which ex- ploits both audio and visual cues to achieve robust results. Specifically, we first employ visual cues such as the video data statistics, the camera cut fre- quency, and the existenceofdelimiting black frames between commercials and programs, to obtain coarse-level detection results.
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Semantic Video Object Segmentation for Content-Based Multimedia Applications

Semantic Video Object Segmentation for Content-Based Multimedia Applications

Ju Guo; C.-C. Jay Kuo

Springer-Verlag New York Inc.
2012
nidottu
Semantic Video Object Segmentation for Content-Based Multimedia Applications provides a thorough review of state-of-the-art techniques as well as describing several novel ideas and algorithms for semantic object extraction from image sequences. Semantic object extraction is an essential element in content-based multimedia services, such as the newly developed MPEG4 and MPEG7 standards. An interactive system called SIVOG (Smart Interactive Video Object Generation) is presented, which converts user's semantic input into a form that can be conveniently integrated with low-level video processing. Thus, high-level semantic information and low-level video features are integrated seamlessly into a smart segmentation system. A region and temporal adaptive algorithm was further proposed to improve the efficiency of the SIVOG system so that it is feasible to achieve nearly real-time video object segmentation with robust and accurate performances. Also included is an examination of the shape coding problem and the object segmentation problem simultaneously. Semantic Video Object Segmentation for Content-Based Multimedia Applications will be of great interest to research scientists and graduate-level students working in the area of content-based multimedia representation and applications and its related fields.
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Trigger Warning

Trigger Warning

Christine Morgan; Jay Wilburn; C M Saunders

Madness Heart Press
2022
pokkari
Volume 3 of the Trigger Warning Anthology series. "Death canonizes even the most awful of us. No one will speak ill of you when the dirt is still fresh upon your grave. It's only once the grass starts to grow that everyone remembers what a piece of shit you were."--Chandler Morrison, Hate to Feel What are we doing when we refused to engage the dead in our stories, in our horror? Are we respecting them? Or are we forgetting them and condemning their memory to oblivion? We at Madness Heart Press contend that the only way to truly respect those who are gone is to fully engage them with the disrespect they are due. Through strange, terrifying, and disgusting horror, these 9 authors ensure that death is no safe space. No corpse will escape their due through death, but will instead be allotted the full measure of what our authors have in store. This is your trigger warning.
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Labor-Management Cooperation in a Public Service Industry.

Labor-Management Cooperation in a Public Service Industry.

Kenneth M. Jennings; Jay A. Smith; E C Traynham

Praeger Publishers Inc
1986
sidottu
Labor-Management Cooperation in a Public Service Industry outlines the historical aspects of labor-management cooperation and the characteristics of the transit industry which made it conducive to this cooperation. The second chapter discusses different cooperative programs such as employee input programs, safety programs, performance incentive programs, and training programs. Administrative considerations are examined in chapter three, along with the potential difficulties and calculating cost benefits. The two appendices offer a case study analysis format and quantitative assessment of four quality circles. This book contains extensive interviews with nearly seventy mass transit practitioners.
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Radio Resource Management for Multimedia QoS Support in Wireless Networks

Radio Resource Management for Multimedia QoS Support in Wireless Networks

Huan Chen; Sunil Kumar; C.C. Jay Kuo

Springer-Verlag New York Inc.
2003
sidottu
Due to the great success and enormous impact of IP networks, In­ ternet access (such as sending and receiving e-mails) and web brows­ ing have become the ruling paradigm for next generation wireless systems. On the other hand, great technological and commercial success of services and applications is being witnessed in mobile wire­ less communications with examples of cellular, pes voice telephony and wireless LANs. The service paradigm has thus shifted from the conventional voice service to seamlessly integrated high quality mul­ timedia transmission over broadband wireless mobile networks. The multimedia content may include data, voice, audio, image, video and so on. With availability of more powerful portable devices, such as PDA, portable computer and cellular phone, coupled with the easier access to the core network (using a mobile device), the number of mobile users and the demand for multimedia-based applications is increasing rapidly. As a result, there is an urgent need for a sys­ tem that supports heterogeneous multimedia services and provides seamless access to the desired resources via wireless connections. Therefore, the convergence of multimedia communication and wireless mobile networking technologies into the next generation wireless multimedia (WMM) networks with the vision of "anytime, anywhere, anyform" information system is the certain trend in the foreseeable future. However, successful combination of these two technologies presents many challenges such as available spectral bandwidth, energy efficiency, seamless end-to-end communication, robustness, security, etc.
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Radio Resource Management for Multimedia QoS Support in Wireless Networks

Radio Resource Management for Multimedia QoS Support in Wireless Networks

Huan Chen; Sunil Kumar; C.C. Jay Kuo

Springer-Verlag New York Inc.
2012
nidottu
Due to the great success and enormous impact of IP networks, In­ ternet access (such as sending and receiving e-mails) and web brows­ ing have become the ruling paradigm for next generation wireless systems. On the other hand, great technological and commercial success of services and applications is being witnessed in mobile wire­ less communications with examples of cellular, pes voice telephony and wireless LANs. The service paradigm has thus shifted from the conventional voice service to seamlessly integrated high quality mul­ timedia transmission over broadband wireless mobile networks. The multimedia content may include data, voice, audio, image, video and so on. With availability of more powerful portable devices, such as PDA, portable computer and cellular phone, coupled with the easier access to the core network (using a mobile device), the number of mobile users and the demand for multimedia-based applications is increasing rapidly. As a result, there is an urgent need for a sys­ tem that supports heterogeneous multimedia services and provides seamless access to the desired resources via wireless connections. Therefore, the convergence of multimedia communication and wireless mobile networking technologies into the next generation wireless multimedia (WMM) networks with the vision of "anytime, anywhere, anyform" information system is the certain trend in the foreseeable future. However, successful combination of these two technologies presents many challenges such as available spectral bandwidth, energy efficiency, seamless end-to-end communication, robustness, security, etc.
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Big Visual Data Analysis

Big Visual Data Analysis

Chen Chen; Yuzhuo Ren; C.-C. Jay Kuo

Springer Verlag, Singapore
2016
nidottu
This book offers an overview of traditional big visual data analysis approaches and provides state-of-the-art solutions for several scene comprehension problems, indoor/outdoor classification, outdoor scene classification, and outdoor scene layout estimation. It is illustrated with numerous natural and synthetic color images, and extensive statistical analysis is provided to help readers visualize big visual data distribution and the associated problems. Although there has been some research on big visual data analysis, little work has been published on big image data distribution analysis using the modern statistical approach described in this book. By presenting a complete methodology on big visual data analysis with three illustrative scene comprehension problems, it provides a generic framework that can be applied to other big visual data analysis tasks.
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Visual Quality Assessment by Machine Learning

Visual Quality Assessment by Machine Learning

Long Xu; Weisi Lin; C.-C. Jay Kuo

Springer Verlag, Singapore
2015
nidottu
The book encompasses the state-of-the-art visual quality assessment (VQA) and learning based visual quality assessment (LB-VQA) by providing a comprehensive overview of the existing relevant methods. It delivers the readers the basic knowledge, systematic overview and new development of VQA. It also encompasses the preliminary knowledge of Machine Learning (ML) to VQA tasks and newly developed ML techniques for the purpose. Hence, firstly, it is particularly helpful to the beginner-readers (including research students) to enter into VQA field in general and LB-VQA one in particular. Secondly, new development in VQA and LB-VQA particularly are detailed in this book, which will give peer researchers and engineers new insights in VQA.
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Interactive Segmentation Techniques

Interactive Segmentation Techniques

Jia He; Chang-Su Kim; C.-C. Jay Kuo

Springer Verlag, Singapore
2013
nidottu
This book focuses on interactive segmentation techniques, which have been extensively studied in recent decades. Interactive segmentation emphasizes clear extraction of objects of interest, whose locations are roughly indicated by human interactions based on high level perception. This book will first introduce classic graph-cut segmentation algorithms and then discuss state-of-the-art techniques, including graph matching methods, region merging and label propagation, clustering methods, and segmentation methods based on edge detection. A comparative analysis of these methods will be provided with quantitative and qualitative performance evaluation, which will be illustrated using natural and synthetic images. Also, extensive statistical performance comparisons will be made. Pros and cons of these interactive segmentation methods will be pointed out, and their applications will be discussed. There have been only a few surveys on interactive segmentation techniques, and those surveys do not cover recent state-of-the art techniques. By providing comprehensive up-to-date survey on the fast developing topic and the performance evaluation, this book can help readers learn interactive segmentation techniques quickly and thoroughly.
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