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The purpose of this paper is to understand the reporting intentions of traditional and cybercrime victimization, and the role of procedural justice in explaining sources of variation.

Using Amazon’s MTurk program for opt-in survey participation, 534 respondents across the USA considered ten victimization incidents and expressed their likelihood of reporting each incident to the police as well as their belief that the police would identify and arrest the offender.

As expected, reporting intentions increased with the seriousness of the incident for both traditional crime and cybercrime. However, reporting intentions were generally slightly higher for incidents that occurred in the physical world, as opposed to online. Likewise, beliefs that police could identify and arrest and offender were lower for cybercrime compared to traditional crime. Consistently, predictors of reporting to the police and belief in police effectiveness hinged heavily on procedural justice. Other predictors for these behaviors and beliefs are also discussed.

This study uniquely compares reporting intentions of potential victims of parallel victimizations occurring in-person and online, thus providing firm comparisons about reporting intentions and beliefs about police effectiveness in addressing traditional and cybercrime.

Human trafficking is challenging to address; one facet of response has been to engage with the public to increase awareness of trafficking and create connections that facilitate identification. Police officials are uniquely situated to engage with the community on human trafficking through their online presence. However, little is known about how police officials use these virtual platforms to discuss trafficking.

The current study examines how Tennessee police use agency websites and Twitter to connect with their community on the issue of human trafficking.

Out of 241 police agencies studied in Tennessee, 80% (n = 192) had websites, while 35% (n = 84) had Twitter accounts. Findings suggest that Tennessee agencies are not currently using websites (1%) or Twitter (4.7%) to engage with the public about human trafficking. Further, when it did occur, the communication to the public was limited in depth and resources.

Future research should include other police agencies and additional social media sites.

Police agencies could be more proactive at engaging the community, with the caveat that any future initiatives should have clear goals and monitor their effectiveness at achieving their intended outcomes.

This research provides a fundamental analysis of how police agencies communicate to the public on issues related to human trafficking.

Purpose – The purpose of this chapter is to examine the ways in which human trafficking has been measured through the use of agency record data.

Approach – The authors review the state of previous research on human trafficking using agency record data and the challenges that are important to consider when using agency records in the study of human trafficking.

Findings – Researchers have used agency records in a wide variety of ways to measure human trafficking victimization, perpetration, and patterns or case characteristics. Agency data provide unique contributions to understand human trafficking including the scope of the problem, predictors of victimization, and public perceptions of this crime. The authors describe the efforts to use agency records to estimate the prevalence of human trafficking in a statewide study.

Value – This chapter provides an overview of how agency records have been used in human trafficking research in recent years. Furthermore, this chapter includes a case study and methodological reflection on the use of agency records in a statewide human trafficking prevalence study. The authors conclude with a methodological reflection and considerations moving forward for future use of agency data in human trafficking research.

The purpose of this paper is to obtain an accurate and robust estimation method of the rotor flux and speed for the sensorless induction motor (IM) drive with magnetizing reactance variations.

The sensorless IM drive with sliding mode flux and speed observer (SMO) is presented. Proposed estimation algorithm is extended with the additional magnetizing reactance estimator based on the magnetizing characteristic of the IM. The dynamical and steady‐state properties of the drive system in the low‐speed and in the field‐weakening regions are tested. The simulation results are verified by experimental tests, over the wide range of motor speed and drive parameter changes.

It is shown that the sensorless induction motor drive can work stable in wide speed range using the Sliding‐Mode Observer with additional magnetizing reactance estimator.

The investigation looked mainly at the speed estimation methodology with additional motor parameter estimator.

The proposed SMO can be easily implemented on digital signal processors. The implementation was tested in an experimental setup with DS1103 card. The fixed‐point realisation needs to be developed to obtain the practical application in the industrial drive systems.

The SMO with an additional magnetizing reactance estimator based on magnetizing characteristic of the IM is tested. This method of the speed and flux reconstruction can be applied in different electrical drives working in wide speed range, including very low‐speed region and field‐weakening region, too. The proposed solution is not sensitive to magnetizing reactance variations and is simple in practical implementation in the real‐time system.