This document contains basic principles and processes regarding secure access to web information system. It consists of theoretic and applied part. These are mainly written together in thesis’s chapters. Theoretic informations were tested on simple web application created in PHP computer language on Apache web server using MySQL database. In the beginning, there is an analysis of used programming environment, especially it’s advantages and disadvantages. The main part of this document is simple characterization of many security problems which can be found on many websites all around the world. In the first place it’s a handling problem of inputs and outputs in the web applications. Password disputableness is solving separatelly. Theory of a problem is analysed first of all. Then a couple of solving methods are suggested and the one which is practically realized is described in detail. There is a notification system created which is used to inform user about errors appeared in web application. In the last section there is a client and server certificates described. This document contains fully characterization of used scripts and connection between them. They are supplemented with many pictures and screenshots which are used to better understanding the disputableness of web security.

The design of Assistive Technology (AT) products that are highly functional as well satisfactory is presents many challenges. Various types of input are used in design of AT products to help overcome them. A study was conducted to gather data on the impact that different types of input (from simulation tools, a professional therapist, and end users) during the design of an AT product has on the effectiveness, efficiency and satisfaction of the final design. The results show that input from stakeholders (end users or a therapist) can be very effective. However, effectiveness of the input is influenced by many factors and its impact on the design can be highly variable. Input from simulation tools was also found to be equally effective. Implications of these findings for the process of designing AT products are discussed.

The field of surgery is continually evolving as there is always room for improvement in the post-operative health of the patient as well as the comfort of the Operating Room (OR) team. While the success of surgery is contingent upon the skills of the surgeon and the OR team, the use of specialized robots has shown to improve surgery-related outcomes in some cases. These outcomes are currently measured using a wide variety of metrics that include patient pain and recovery, surgeon’s comfort, duration of the operation and the cost of the procedure. There is a need for additional research to better understand the optimal criteria for benchmarking surgical performance. Presently, surgeons are trained to perform robot-assisted surgeries using interactive simulators. However, in the absence of well-defined performance standards, these simulators focus primarily on the simulation of the operative scene and not the complexities associated with multiple inputs to a real-world surgical procedure. Because interactive simulators are typically designed for specific robots that perform a small number of tasks controlled by a single user, they are inflexible in terms of their portability to different robots and the inclusion of multiple operators (e.g., nurses, medical assistants). Additionally, while most simulators provide high-quality visuals, simplification techniques are often employed to avoid stability issues for physics computation, contact dynamics and multi-manual interaction. This study addresses the limitations of existing simulators by outlining various specifications required to develop techniques that mimic real-world interactions and collaboration. Moreover, this study focuses on the inclusion of distributed control, shared task allocation and assistive feedback -- through machine learning, secondary and tertiary operators -- alongside the primary human operator.

The field of surgery is continually evolving as there is always room for improvement in the post-operative health of the patient as well as the comfort of the Operating Room (OR) team. While the success of surgery is contingent upon the skills of the surgeon and the OR team, the use of specialized robots has shown to improve surgery-related outcomes in some cases. These outcomes are currently measured using a wide variety of metrics that include patient pain and recovery, surgeon’s comfort, duration of the operation and the cost of the procedure. There is a need for additional research to better understand the optimal criteria for benchmarking surgical performance. Presently, surgeons are trained to perform robot-assisted surgeries using interactive simulators. However, in the absence of well-defined performance standards, these simulators focus primarily on the simulation of the operative scene and not the complexities associated with multiple inputs to a real-world surgical procedure. Because interactive simulators are typically designed for specific robots that perform a small number of tasks controlled by a single user, they are inflexible in terms of their portability to different robots and the inclusion of multiple operators (e.g., nurses, medical assistants). Additionally, while most simulators provide high-quality visuals, simplification techniques are often employed to avoid stability issues for physics computation, contact dynamics and multi-manual interaction. This study addresses the limitations of existing simulators by outlining various specifications required to develop techniques that mimic real-world interactions and collaboration. Moreover, this study focuses on the inclusion of distributed control, shared task allocation and assistive feedback -- through machine learning, secondary and tertiary operators -- alongside the primary human operator.