A majority of the existing literature on human trafficking is based on the Trafficking Protocol (2000), and provides limited historical analysis of the preceding law on the subject. This book comprehensively analyses the origin and drafting history of the five treaties on human trafficking that preceded the 2000 treaty. The author, through such an analysis, details the development of public international law in relation to the trafficking of children for sexual exploitation of prostitution from 1864 to 1950. Highlighting a misconception in the existing literature that provides an erroneous understanding of the status of children under one of the treaties in this period, the book seeks to correct this misconception in the literature.

International Law on Trafficking of Children for Sexual Exploitation in Prostitution (1864-1950)

Rao, Sunil

Foreign & International Law

Oxford University Press

Modern Slavery Legislation: Drafting History and Comparisons between Australia, UK and the USA

This book will aid understanding and interpretation of the Californian, UK and Australian Modern Slavery Acts, and will provide an in-depth 3-way comparative analysis between the three Acts. &#12288; Modern slavery is a new legal compliance issue, with new legislation enacted in California (Transparency in Supply Chains Act, 2010), the UK (Modern Slavery Act, 2015) and most recently, Australia (Modern Slavery Act, 2018). Such legislation mandates that business of a certain size annually disclose the steps that they are taking to ensure that modern slavery is not occurring in their own operations and supply chains. The legislation applies to businesses wherever incorporated or formed. Key aspects of primary focus will include lessons learned from the California, UK and Australian experience and central arguments on contentious issues, for example: monetary threshold for determining reporting entities, penalties for non-compliance, compliance lists, appointment of an Anti-Slavery Commissioner. The book will also discuss how contentious issues were ultimately resolved and will undertake a comparative analysis of the California, UK and Australian Acts. &#12288; Modern Slavery Legislation will be of interest to academics and students of business and human rights law.

Modern Slavery Legislation

History

Americas

Routledge

This book will aid understanding and interpretation of the Californian, UK and Australian Modern Slavery Acts, and will provide an in-depth three-way comparative analysis between the three Acts. 
Modern slavery is a new legal compliance issue, with new legislation enacted in California (Transparency in Supply Chains Act, 2010), the UK (Modern Slavery Act, 2015) and most recently, Australia (Modern Slavery Act, 2018). Such legislation mandates that business of a certain size annually disclose the steps that they are taking to ensure that modern slavery is not occurring in their own operations and supply chains. The legislation applies to businesses wherever incorporated or formed. Key aspects of primary focus will include lessons learned from the California, UK and Australian experience and central arguments on contentious issues, for example: monetary threshold for determining reporting entities, penalties for non-compliance, compliance lists and appointment of an Anti-Slavery Commissioner. The book will also discuss how contentious issues were ultimately resolved and will undertake a comparative analysis of the Californian, UK and Australian Acts. 
Modern Slavery Legislation will be of interest to academics and students of business and human rights law.

Humor & Entertainment

Television

Machine Learning for Solar Array Monitoring, Optimization, and Control (Synthesis Lectures on Engineering, Science, and Technology)

The efficiency of solar energy farms requires detailed analytics and information on each panel regarding voltage, current, temperature, and irradiance. Monitoring utility-scale solar arrays was shown to minimize the cost of maintenance and help optimize the performance of the photo-voltaic arrays under various conditions. We describe a project that includes development of machine learning and signal processing algorithms along with a solar array testbed for the purpose of PV monitoring and control. The 18kW PV array testbed consists of 104 panels fitted with smart monitoring devices. Each of these devices embeds sensors, wireless transceivers, and relays that enable continuous monitoring, fault detection, and real-time connection topology changes. The facility enables networked data exchanges via the use of wireless data sharing with servers, fusion and control centers, and mobile devices. We develop machine learning and neural network algorithms for fault classification. In addition, we use weather camera data for cloud movement prediction using kernel regression techniques which serves as the input that guides topology reconfiguration. Camera and satellite sensing of skyline features as well as parameter sensing at each panel provides information for fault detection and power output optimization using topology reconfiguration achieved using programmable actuators (relays) in the SMDs. More specifically, a custom neural network algorithm guides the selection among four standardized topologies. Accuracy in fault detection is demonstrate at the level of 90+% and topology optimization provides increase in power by as much as 16% under shading.

Computers & Technology

Katoch, Sameeksha

Narayanaswamy, Vivek

Muniraju, Gowtham

Tepedelenlioglu, Cihan

Computer Science

Morgan Claypool

The efficiency of solar energy farms requires detailed analytics and information on each panel regarding voltage, current, temperature, and irradiance. Monitoring utility-scale solar arrays was shown to minimize the cost of maintenance and help optimize the performance of the photo-voltaic arrays under various conditions. We describe a project that includes development of machine learning and signal processing algorithms along with a solar array testbed for the purpose of PV monitoring and control. The 18kW PV array testbed consists of 104 panels fitted with smart monitoring devices. Each of these devices embeds sensors, wireless transceivers, and relays that enable continuous monitoring, fault detection, and real-time connection topology changes. The facility enables networked data exchanges via the use of wireless data sharing with servers, fusion and control centers, and mobile devices. We develop machine learning and neural network algorithms for fault classification. In addition, we use weather camera data for cloud movement prediction using kernel regression techniques which serves as the input that guides topology reconfiguration. Camera and satellite sensing of skyline features as well as parameter sensing at each panel provides information for fault detection and power output optimization using topology reconfiguration achieved using programmable actuators (relays) in the SMDs. More specifically, a custom neural network algorithm guides the selection among four standardized topologies. Accuracy in fault detection is demonstrate at the level of 90+% and topology optimization provides increase in power by as much as 16% under shading.

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Books by Rao, Sunil