A common method to promote behavior change, particularly in contexts related collective action, is reference a social norm and ask people comply with it. We argue that such appeals will be more effective when they couch the as an invitation work others toward goal. In six experiments, we found working-together normative appeals, which invited join do it together, increased interest (Experiments...

An effective low-cost solution to determine characteristic features of objects from a simple infrared diode array, working on the reflection light scanner principle and using the fusion of amplitude information to detect and characterize objects, has been designed. Essentially, two arrays of several emitter-receiver pairs are mounted on opposite sides of the area of observation (e.g. a conveyer...

A simple yet remarkably powerful tool of selfish and malicious participants in a distributed system is “equivocation”: making conflicting statements to others. We present TrInc, a small, trusted component that combats equivocation in large, distributed systems. Consisting fundamentally of only a non-decreasing counter and a key, TrInc provides a new primitive: unique, once-in-alifetime attestat...

Individual conversion and personal salvation are stressed in some church circles, however, in the history of the Church there has always been a strong interest in the well-being and “conversion” of the community. Consider, for example, Paul’s approach to the Corinthians, and the analogy of the community as one “body” in chapter 12 of his letter to the Corinthians. We see this viewpoint emerging...

In this paper, we aim to monitor the flow of people in large public infrastructures. We propose an unsupervised methodology to cluster people flow patterns into the most typical and meaningful configurations. By processing 3D images from a network of depth cameras, we built a descriptor for the flow pattern. We define a data-irregularity measure that assesses how well each descriptor fits a dat...

This paper deals with the detection of arbitrary static objects in traffic scenes from monocular video using structure from motion. A camera in a moving vehicle observes the road course ahead. The camera translation in depth is known. Many structure from motion algorithms were proposed for detecting moving or nearby objects. However, detecting stationary distant obstacles in the focus of expans...

Knowledge related aspects of businesses processes are often ignored or referred to as a black box in process improvement projects. As a result they remain untouched and it is left to the knowledge workers to establish routines and workflows that deliver results needed to fulfill the business processes needs. This often results in lowered efficiency, redundancy of knowledge related activities, l...

Counting people from a video stream in a noisy environment is a challenging task. This project aims at developing a counting system for transport vehicles, integrated in a video surveillance product. This article presents a method for the detection and tracking of multiple faces in a video by using a model of first and second order local moments. An iterative process is used to estimate the pos...

The computer vision community has expended a great amount of effort in recent years towards the goal of tracking people in videos. Much more recently, algorithms have been developed to track multiple people in videos robustly and in real-time. The goal of this project is to implement a system based on one of those algorithms, in order to count and track the people in a database of surveillance ...

This study has critically examined different aspects of Counter-Cyclical Payments (CCPs) in the context of commitment of United State of America (US) under the Agreement on Agriculture (AoA) and future obligations under recent Doha Round Negotiations. The study has highlighted the shortcomings in domestic support notifications of US to WTO and their impact on product-specific support to the agr...