Univ., Diss.--Bielefeld, 2000. / Literaturverz. S. 263 - 276.

No description available.

No description available.

The following thesis will merge the field of legal studies with the field of Science, Technology, and Society, and will focus on issues surrounding the gun control debate. The goal is to ultimately bring new light to this hot- button legal topic through the use of STS scholarship. STS tools and theories, which have previously been absent from most gun control discussions, have much to contribute to the discourse in terms of motivating the need for gun control, fully understanding the user-gun relationship, breaking down misconceptions about the technology and its role in society, and further understanding the complex societal network within which guns exist in America. This will begin first with a discussion of the legal history and background of firearms in the United States, and will be followed by an STS analysis of technological agency and somnambulism as they can be applied to guns. Following this, the Actor Network in which firearms in America are imbedded will be explored, in order to better understand why they have been so difficult to regulate. Although this thesis will be heavily policy and law-focused, the aim is not to propose any specific new policy, but instead to use STS to conceptualize gun issues from a new perspective that will allow misconceptions and blockades to be confronted head-on.

The discussion regarding the second amendment and gun control in the United States has been a controversial and highly debated topic for many years. However, with the several school shootings taking place, the discussion about gun controls has been taken to a new level. The purpose of this essay is to give an overview of the debate and answer to the main question ”how is the relationship between freedom and rights expressed in the debate about strengthened gun control, in relation to positive and negative liberty, and over time?  In order to achieve the purpose, three different kinds of analyzes have been made. First, two pro-contra analyzes were made on two different occasions. Next, the arguments found was examined through two concepts of liberty: positive and negative liberty. Lastly, a comparison was made between the arguments from the two different occasions. The results show that there are three different core issues in the debate, and that positive liberty is dominating the pro-gun control side, while negative liberty and individual rights are dominating the contra-gun control side. The debate has not been going through a radical change. However, some arguments have grown stronger over the years.

One of the most hotly contested topics in the world today revolves around an object. An object that has caused debate among all members of society both in the United States, and all across the globe. But how could an object, something that on its own does nothing, spur such heated argument? This object is the evolution of invention and the product of fighting amongst each other. This object changes the way people think and how they act. This object can be used for both good and bad. This object is a gun. This research project will explore the Second Amendment of the United States Constitution in the 21st century, providing an in depth examination of firearm freedoms and their relationship with public safety and interests. This research is integral to our society, both politically and publically. Firearms are a significant aspect of our country, a longstanding right that many people view as one of the most essential rights of a United States citizen. The research presented will examine vital aspects of the debate regarding firearm rights, and analyze the relationship between firearm freedoms and public safety. This thesis will examine the benefits and detriments regarding firearm freedoms and their relationship with public safety. This thesis will first establish the necessary background information, including general information, legislation, and statistics, in order to analyze the aforementioned relationship. The next step in the analysis is to examine the benefits of firearm freedoms, as well as the problems with having unlimited firearm freedoms. This thesis will also examine other essential areas regarding this debate, including political impact, public opinion, and global comparisons. The thesis will conclude with possible alternatives for legislation regarding firearms, and an analysis of the likely proper path upon which to proceed.

Police Practice / DLitt et Phil. (Police Practice)

Police Practice / D. Litt. et Phil. (Police Practice)

Att använda maskininlärning för att detektera vapen eliminerar en konstant mänsklig övervakning, vilket också kan leda till en lägre responstid till polis. I den här rapporten undersöks hur en vapendetektor kan konstrueras och byggas som en del av en klient-server-lösning. / With the progress of deep learning methods the last couple of years, object detectionrelated tasks are improving rapidly. Using object detection for detecting guns in schoolsremove the need for human supervision and hopefully reduces police response time. Thispaper investigates how a gun detection system can be built by reading frames locally andusing a server for detection. The detector is based on a pre-trained SSD model and throughtransfer learning is taught to recognize guns. The detector obtained an Average Precisionof 51.1% and the server response time for a frame of size 1920 x 1080 was 480 ms, but couldbe scaled down to 240 x 135 to reach 210 ms, without affecting the accuracy. A non-gunclass was implemented to reduce the number of false positives and on a set of 300 imagescontaining 165 guns, the number of false positives dropped from 21 to 11.

With the progress of deep learning methods the last couple of years, object detection related tasks are improving rapidly. Using object detection for detecting guns in schools remove the need for human supervision and hopefully reduces police response time. This paper investigates how a gun detection system can be built by reading frames locally and using a server for detection. The detector is based on a pre-trained SSD model and through transfer learning is taught to recognize guns. The detector obtained an Average Precision of 51.1% and the server response time for a frame of size 1920 x 1080 was 480 ms, but could be scaled down to 240 x 135 to reach 210 ms, without affecting the accuracy. A non-gun class was implemented to reduce the number of false positives and on a set of 300 images containing 165 guns, the number of false positives dropped from 21 to 11.