With the advent of telecommunication technology, the need to transport multimedia content is increasing day by day. Successful video transmission over the wireless network faces a lot of challenges because of the limited resource and error prone nature of the wireless environment. To deal with these two challenges, not only the video needs to be compressed very efficiently but also the compression scheme needs to provide some error resilient features to deal with the high packet loss probability. In this thesis, we have worked with the H.264/ Advanced Video Coding (AVC) video compression standard since this is the most recent and most efficient video compression scheme. Also H.264 provides novel error resilient features e.g. slicing of the frame, Flexible Macroblock Ordering (FMO), data partitioning etc. In this thesis, we investigate how to utilize the error resilient schemes of H.264 to ensure a good quality picture at the receiving end. In the first part of the thesis, we find the optimum slice size that will enhance the quality of video transmission in a 3G environment. In the second part, we jointly optimize the data partitioning property and partial reliability extension property of the new transport layer protocol, Stream Control Transmission Protocol (SCTP). In the third and last part, we focus more on the network layer issues. We obtain the optimum point of application layer Forward Error Correction (FEC) and Medium Access Control (MAC) layer retransmission in a capacity constrained network. We assume that the bit rate assigned for the video application is more than the video bit rate so that the extra capacity available can be used for error correction.

With the advent of telecommunication technology, the need to transport multimedia content is increasing day by day. Successful video transmission over the wireless network faces a lot of challenges because of the limited resource and error prone nature of the wireless environment. To deal with these two challenges, not only the video needs to be compressed very efficiently but also the compression scheme needs to provide some error resilient features to deal with the high packet loss probability. In this thesis, we have worked with the H.264/ Advanced Video Coding (AVC) video compression standard since this is the most recent and most efficient video compression scheme. Also H.264 provides novel error resilient features e.g. slicing of the frame, Flexible Macroblock Ordering (FMO), data partitioning etc. In this thesis, we investigate how to utilize the error resilient schemes of H.264 to ensure a good quality picture at the receiving end. In the first part of the thesis, we find the optimum slice size that will enhance the quality of video transmission in a 3G environment. In the second part, we jointly optimize the data partitioning property and partial reliability extension property of the new transport layer protocol, Stream Control Transmission Protocol (SCTP). In the third and last part, we focus more on the network layer issues. We obtain the optimum point of application layer Forward Error Correction (FEC) and Medium Access Control (MAC) layer retransmission in a capacity constrained network. We assume that the bit rate assigned for the video application is more than the video bit rate so that the extra capacity available can be used for error correction.

With the advent of telecommunication technology, the need to transport multimedia content is increasing day by day. Successful video transmission over the wireless network faces a lot of challenges because of the limited resource and error prone nature of the wireless environment. To deal with these two challenges, not only the video needs to be compressed very efficiently but also the compression scheme needs to provide some error resilient features to deal with the high packet loss probability. In this thesis, we have worked with the H.264/ Advanced Video Coding (AVC) video compression standard since this is the most recent and most efficient video compression scheme. Also H.264 provides novel error resilient features e.g. slicing of the frame, Flexible Macroblock Ordering (FMO), data partitioning etc. In this thesis, we investigate how to utilize the error resilient schemes of H.264 to ensure a good quality picture at the receiving end. In the first part of the thesis, we find the optimum slice size that will enhance the quality of video transmission in a 3G environment. In the second part, we jointly optimize the data partitioning property and partial reliability extension property of the new transport layer protocol, Stream Control Transmission Protocol (SCTP). In the third and last part, we focus more on the network layer issues. We obtain the optimum point of application layer Forward Error Correction (FEC) and Medium Access Control (MAC) layer retransmission in a capacity constrained network. We assume that the bit rate assigned for the video application is more than the video bit rate so that the extra capacity available can be used for error correction. / Applied Science, Faculty of / Electrical and Computer Engineering, Department of / Graduate

Univ., Diss.--Bern, 2004.

The main objective of this research is to build an interest based peer – to – peer network which is structured yet non-DHT. Maintaining DHTs is a complex task and needs substantial amount of effort to handle the problem of churn. So, the major challenge facing such architectures is how to reduce this amount of effort while still providing an efficient data query service. The rationale behind choosing non- DHT based interest based network is that users sharing common interests are likely to share similar contents, and therefore searches for a particular type of content is more efficient if peers likely to store that content type are neighbors. We have used a mathematical model based on modular arithmetic, specifically residue class (RC), to design a two-level structured architecture. To the best of my knowledge, there does not exist any such work that has used this mathematical model.

LKAB Mekaniska i Kiruna, Sverige är en ståltillverkare som bland annat producerar avropsartikeln lingenomföring till moderbolaget LKAB. Målet med detta examensarbete är att minska på leveranstiden för sistnämnda artikel. För att åstadkomma detta undersöktes produktionsflödet i affärssystemet Monitor. Därtill genomfördes en litteraturstudie och intervjuer hölls med avdelningschefer och operatörer från LKAB Mekaniska. Utifrån detta identifierades tre faktorer som påverkar leveranstiden negativt. Dessa är kötiderna mellan operationerna, den bristfälliga planeringen som skedde vid skär- och maskinavdelningen, samt begränsningarna som höll upp produktionen i maskinavdelningen Vi hävdar att leveranstiden minskar om följande åtgärder genomförs: eliminera kötiderna mellan tillverkningsprocesserna, öka beläggningen och kapaciteten på tillverkningsmaskinen, implementera ett kanbansystem, ändra ordningsföljden i tillverkningsprocessen och slutligen införa ett säkerhetslager med färdigsvarvade stänger. / LKAB Mekaniska in Kiruna, Sweden is a steel-manufacturer that, among other things, produces lingenomföring for its parent company LKAB. The aim of this thesis is to decrease the delivery time of the aforementioned product. In order to achieve this, production flow in the business system Monitor ERP (Enterprise Resource Planning) was examined. In addition to this a literature study was conducted and interviews were held with department heads and machine operators from LKAB Mekaniska. Based on data collected, three factors were identified as negatively affecting the delivery time. These are queue times between operations, inadequate planning for the cutting and machinery department, as well as the limitations that kept the production back in the machinery department. We claim that the delivery time decreases if the following measures are realized: eliminate queue times between stages in the manufacturing process, increase personnel capacity related to the manufacturing machine, implement a kanban system, change the order of the manufacturing process and lastly to introduce a storage of ready-turned bars.

Ride-pooling (or ride-sharing) services combine trips of multiple customers along similar routes into a single vehicle. The collective dynamics of the fleet of ride-pooling vehicles fundamentally underlies the efficiency of these services. In simplified models, the common features of these dynamics give rise to scaling laws of the efficiency that are valid across a wide range of street networks and demand settings. However, it is unclear how constraints of the vehicle fleet impact such scaling laws. Here, we map the collective dynamics of capacity-constrained ride-pooling fleets to services with unlimited passenger capacity and identify an effective fleet size of available vehicles as the relevant scaling parameter characterizing the dynamics. Exploiting this mapping, we generalize the scaling laws of ride-pooling efficiency to capacity-constrained fleets. We approximate the scaling function with a queueing theoretical analysis of the dynamics in a minimal model system, thereby enabling mean-field predictions of required fleet sizes in more complex settings. These results may help to transfer insights from existing ride-pooling services to new settings or service locations.