Semantic Image Retrieval via Active Grounding of Visual Situations

We describe a novel architecture for semantic image retrieval---in particular, retrieval of instances of visual situations. Visual situations are concepts such as "a boxing match," "walking the dog," "a crowd waiting for a bus," or "a game of ping-pong," whose instantiations in images are linked more by their common spatial and semantic structure than by low-level visual similarity. Given a query situation description, our architecture---called Situate---learns models capturing the visual features of expected objects as well the expected spatial configuration of relationships among objects. Given a new image, Situate uses these models in an attempt to ground (i.e., to create a bounding box locating) each expected component of the situation in the image via an active search procedure. Situate uses the resulting grounding to compute a score indicating the degree to which the new image is judged to contain an instance of the situation. Such scores can be used to rank images in a collection as part of a retrieval system. In the preliminary study described here, we demonstrate the promise of this system by comparing Situate's performance with that of two baseline methods, as well as with a related semantic image-retrieval system based on "scene graphs.

Exploring the experience of a strengths-based approach within a forensic service

As part of an NHS England pilot scheme, Specialist Community Forensic Teams were developed aiming to support service users’ transition of care from secure forensic inpatient settings to living in the community. This study explored the experiences of service users, carers, health professionals and specialist residential accommodation providers in relation to one of these teams. The Good Lives Model was adapted by the team to inform formulation and intervention. Nineteen participants completed a mixed-methods survey. Data were processed using descriptive statistics and thematic analysis. Findings indicate that the use of a strengths-based model within a forensic setting was perceived by stakeholders as providing an experience of relational security and hopefulness. Most stakeholders surveyed endorsed survey items indicative of a positive experience of the service. The findings from this study suggest that GLM is an acceptable model to stakeholders for formulating the needs and strengths of service users in planning their transition from residing in secure settings to living in the community

Intrusion Detection Systems for Flying Ad-hoc Networks

Unmanned Aerial Vehicles (UAVs) are becoming more dependent on mission success than ever. Due to their increase in demand, addressing security vulnerabilities to both UAVs and the Flying Ad-hoc Networks (FANET) they form is more important than ever. As the network traffic is communicated through open airwaves, this network of UAVs relies on monitoring applications known as Intrusion Detection Systems (IDS) to detect and mitigate attacks. This paper will survey current IDS systems that include machine learning techniques when combating various vulnerabilities and attacks from bad actors. This paper will be concluded with research challenges and future research directions in finding an effective IDS system that can handle cyber-attacks while meeting performance requirements.Comment: 5 Pages, 1 figure, 1 table, 41 Reference

Kentucky Domestic Violence and Abuse Act: Civil Remedies for Victims

Advocates for victims of domestic violence have long argued that this specifi form of violence is no less an offense than an assault by a stranger. In fact, because domestic violence invovles closely related victims and offenders, it poses additional and very serious risks to victims. Such risks led advocates to promote the creation of civil remedies for victims of domestic violence. The Domestic violence and abuse Act and its civil protections were created by the 1984 General Assembly, not to replace criminal sanctions, but to afford victims additional civil protections which the criminal justice system does not provide

Single-Molecule Junction Conductance through Diaminoacenes

The study of electron transport through single molecules is essential to the development of molecular electronics. Indeed, trends in electronic conductance through organic nanowires have emerged with the increasing reliability of electron transport measurements at the single-molecule level. Experimental and theoretical work has shown that tunneling distance, HOMO-LUMO gap and molecular conformation influence electron transport in both saturated and pi-conjugated nanowires. However, there is relatively little experimental data on electron transport through fused aromatic rings. Here we show using diaminoacenes that conductivity depends not only on the number of fused aromatic rings in the molecule, which defines the molecular HOMO-LUMO gap, but also on the position of the amino groups on the rings. Specifically, we find that conductance is highest with minimal disruption of aromaticity in fused aromatic nanowires.Comment: 2 pages, 3 figure

Stalking: Cultural, Clinical, and Legal Considerations

Crimes of violence against women are unique in their treatment by our culture and our system of legal justice. Both culturally and statutorily, victims of crimes which have historically been perpetrated against women, such as rape, domestic violence, and stalking have received significant focus. This article highlights cultural considerations and provides a statutory and case law analysis

Fluid Powered Vehicle Challenge: Team Soulenoid Cycle

The National Fluid Power Association is a trade association that unifies customers and manufacturers within the hydraulics industry. Extending their partnership to universities, the annual Fluid Powered Vehicle Competition challenges college teams to design, build, and test a fluid-powered vehicle with the goal of educating students about the hydraulics industry and building career connections. Soulenoid Cycle produced the next iteration of Cal Poly’s fluid powered vehicle for the 2021 competition. This report summarizes research, ideation, component selection, initial and final design, manufacturing, and competition results conducted by Soulenoid Cycle. Relevant research includes successful current and past vehicles, the operation of a hydraulic propulsion system, and popular controller and sensor choices for hydraulic systems. Based on the requirements of the competition, performance of competitors, and guidance from a previous Cal Poly team, Soulenoid Cycle identified three major areas of improvement for this year’s competing vehicle: sprint time, hydraulic efficiency, and mechatronics. Development of the goals and objectives discussed in this report were critical to the success of this project. By solidifying a foundation of preliminary research, defining the scope of work, and making initial design and component selections, Soulenoid Cycle was successful when approaching final vehicle design and manufacturing, and the 2021 Fluid Powered Vehicle Competition