Avancerad sökning

Hittade 3 avhandlingar som matchar ovanstående sökkriterier.

  1. 1. Towards Defence In Depth In Diabetes Glucose Self-Management

    Författare :Fredrik Ståhl; Institutionen för reglerteknik; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Diabetes; model; insulin action; postprandial glucose;

    Sammanfattning : Diabetes is a disease characterized by insufficient capacity to regulate the blood glucose level. In insulin-dependent diabetes, multiple daily injections of insulin have to be administered. In-between scheduled visits to the care provider, the patient has to manage the glucose control independently. LÄS MER

  3. 2. Stilla flyter Maas : senromersk strategi och logistik i den arkeologiska rekonstruktionen

    Författare :Mikael Dahlgren; Arkeologi; []
    Nyckelord :HUMANIORA; HUMANITIES; logistics; fortifications; Limes; frontiers; defence-in-depth; Netherlands; Belgium; Maas; Maastricht; Nijmegen; Luttwak; provincial Roman archaeology; strategy; Warfare;

    Sammanfattning : This dissertation deals with antique warfare in general and late Roman warfare in particular. The overall aim is to discuss the concept of strategy in the archaeological and historical reconstruction, based on Edward N. Luttwak’s groundbreaking work The Grand Strategy of the Roman Empire (1976). LÄS MER

  4. 3. Adaptive Real-time Anomaly Detection for Safeguarding Critical Networks

    Författare :Kalle Ring Burbeck; Simin Nadjm-Tehrani; Erland Jonsson; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; intrusion detection; anomaly detection; real-time; clustering; adaptation; IP networks; Computer science; Datalogi;

    Sammanfattning : Critical networks require defence in depth incorporating many different security technologies including intrusion detection. One important intrusion detection approach is called anomaly detection where normal (good) behaviour of users of the protected system is modelled, often using machine learning or data mining techniques. LÄS MER