AbstractParental participation is something that is included in school either we like it or not. Several studies have been done about this phenomena but not many of them have examined the pupils Estimation about parental participation. Therefore did we get interested about the pupils situation because why haven?t almost anyone asked the pupils about this phenomena when it?s constructed fore them? To learn more about the pupils Estimation did we a questionnaire in twelve different classes with children in the ages between 10-16 years. The results we got from the questionnaire concerning the pupils Estimation about parental participation were both expected and unexpected.Keywords: Parental participationQuestionnairePupil Estimation.

This Masters thesis work describes a comparison between two different methods for Estimation of the down channel (base station to mobile subscriber) in Wide-band Code Division Multiple Access (WCDMA). The first Estimation method, Optimal Feed-forward Channel Estimation (OFCE), is a conventional method that bases the estimates on data that is known to both sender and receiver, so called pilots. The second method, Decision Directed Channel Estimation (DDCE), is an elaboration of OFCE. It also uses user data for Estimation. Simulations show that DDCE, in comparison to OFCE, does not attain an improvement in signal-to-noise-ratio (SNR) for high bit error rates (BER).

This Masters thesis work describes a comparison between two different methods for Estimation of the down channel (base station to mobile subscriber) in Wide-band Code Division Multiple Access (WCDMA). The first Estimation method, Optimal Feed-forward Channel Estimation (OFCE), is a conventional method that bases the estimates on data that is known to both sender and receiver, so called pilots. The second method, Decision Directed Channel Estimation (DDCE), is an elaboration of OFCE. It also uses user data for Estimation. Simulations show that DDCE, in comparison to OFCE, does not attain an improvement in signal-to-noise-ratio (SNR) for high bit error rates (BER).

This Masters thesis work describes a comparison between two different methods for Estimation of the down channel (base station to mobile subscriber) in Wide-band Code Division Multiple Access (WCDMA). The first Estimation method, Optimal Feed-forward Channel Estimation (OFCE), is a conventional method that bases the estimates on data that is known to both sender and receiver, so called pilots. The second method, Decision Directed Channel Estimation (DDCE), is an elaboration of OFCE. It also uses user data for Estimation. Simulations show that DDCE, in comparison to OFCE, does not attain an improvement in signal-to-noise-ratio (SNR) for high bit error rates (BER). An improvement is only seen when the BER becomes much lower than what is common in real situations. In conclusion DDCE is complicated, involves many mathematical operations and gives insignificant improvement of SNR when BER takes common values. It is legitimate to question if it is possible to use the method in a real mobile phone system..

This Masters thesis work describes a comparison between two different methods for Estimation of the down channel (base station to mobile subscriber) in Wide-band Code Division Multiple Access (WCDMA). The first Estimation method, Optimal Feed-forward Channel Estimation (OFCE), is a conventional method that bases the estimates on data that is known to both sender and receiver, so called pilots. The second method, Decision Directed Channel Estimation (DDCE), is an elaboration of OFCE. It also uses user data for Estimation. Simulations show that DDCE, in comparison to OFCE, does not attain an improvement in signal-to-noise-ratio (SNR) for high bit error rates (BER).

In this master's thesis the problem of determining the uncertainty for an estimator of an unknown parameter is considered. The case we study is the Estimation of gravity using a reversible pendulum. This involves the Estimation of the point where two regression lines intersect. The estimated gravity is a function the coordinates of this point. One way to determine the uncertainty of this estimator is to use bootstrap methods.

With numerous applications in both military and civilian life, the demand for accurate 3D models of real world environments increases rapidly. Using an airborne laser scanner for the raw data acquisition and robust methods for data processing, the researchers at the Swedish Defence Research Agency (FOI) in Linköping hope to fully automate the modeling process.The work of this thesis has mainly been focused on three areas: ground Estimation, image segmentation and classification. Procedures have in each of these areas been developed, leading to a new algorithm for ground Estimation, a number of segmentation methods as well as a full comparison of various decision values for an object based classification. The ground Estimation algorithm developed has yielded good results compared to the method based on active contours previously elaborated at FOI. The computational effort needed by the new method has been greatly reduced compared to the former, as performance, particularly in urban areas, has been improved.

The purpose of this report is to evaluate different methods for identifying states in robot models. Both linear and non-linear filters exist among these methods and are compared to each other. Advantages, disadvantages and problems that can occur during tuning and running are presented. Additional measurements from accelerometers are added and their use with above mentioned methods for state Estimation is evaluated. The evaluation of methods in this report is mainly based on simulations in Matlab, even though some experiments have been performed on laboratory equipment.The conclusion indicates that simple non-linear models with few states can be more accurately estimated with a Kalman filter than with an extended Kalman filter, as long as only linear measurements are used.

In the automatic manual transmission system, Opticruise, the choice of gear is based on several parameters such as road incline, driving resistance and vehicle mass. Many different mass Estimations are made during driving. A final vehicle mass is then used to determine the current gear. Construction vehicles are often not equipped with air suspension and can therefore not estimate the vehicle mass when standing still. If that sort of vehicle is reloaded while standing still an incorrect mass Estimation will be used and as an effect of that also a wrong gear.

During consultation procedures between forest owners and the Sámi, data on, e.g., reindeer lichen biomass on the current site is needed. Hitherto, the existing methods of measuring lichen cover and biomass has been either objective methods such as the Point Intercept method, which is time consuming, or some sort of subjective visual Estimation, which is faster but less accurate. However, both these methods are sensitive to different observers and/or to different inventories. This paper addresses the further development and evaluation of a photographical inventory method that uses colour distribution in images to estimate lichen biomass. During the autumn of 2011 six different locations, with different grazing pressure and lichen cover, in Norrbotten county were inventoried using both the Point Intercept method and the photographical method, complemented with collection of biomass samples.

Studies show that activity based costing (ABC) is not widespread in practice even though it has been present in the academic world since the 80's. This thesis examines the reasons for the discrepancy between theory and practice through a case study of a Swedish manufacturing company. The intension is to answer the question of what contributes to the choice of precision in product costing.We found arguments for increasing precision in product costing but not to the extent of a full-scale ABC implementation. The company's Estimation of the value of increased precision. In the study three company unique factors were isolated that affected the company's Estimation of value; drifting purpose of product costing, historical use of product costing and knowledge about product costing..

This master thesis has been performed at Sectra Communications AB in Linköping where they manufacture electronic encryption devices. In cryptology it is essential that an eavesdropper cannot find the plain text. To assure that a system is safe, all devices are thoroughly examined so that they don?t emit any secret information, so called Compromising Emanations (CE). This is done by comparing the secret signal with measured signals on the screen of an oscilloscope, a process that is very time consuming and furthermore, the risk of missing compromising emanations is high.

The purpose of this bachelor-thesis is to investigate the possible effects of lease accounting on the Estimation of bankruptcy. This is done by estimating the risk via prediction models based on accounting ratios for a sample of 43 listed firms in Sweden. Estimation is conducted twice for each firm, once base on unadjusted data as it is presented in the annual report of 2012, and one with data adjusted for operational leases (that is data is treated as if all leases present were to have been reported as financial leases). In the next step it is tested weather the predictive ability of the models is affected by this adjustment or not. For this purpose translation of bankruptcy risk into synthetic credit ratings via interest coverage ratios is done.

Sweden have 419 000 km road in the country and about half of these roads is forestroads. The forest road net most important mission is to make it possible to deliver wood from the forest to the industries. With a raw material that is spread over a large area the road network is important. Each year has the forest road network been extended with about 1 700 km new roads. To decide if a new road is to be built different forest road cost Estimation models has been used.

When a helicopter is flying, the dynamics vary depending on, for example, speed and position. Hence, a time-invariant linear model cannot describe its properties under all flight conditions. It is therefore desirable to update the linear helicopter model continuously during the flight. In this thesis, two different recursive Estimation methods are presented, LMS (Least Mean Square) and adaptation with a Kalman filter. The main purpose of the system Estimation is to get a model which can be used for feedback control.