The paper is devoted to the realization of scientific and technical ideas and knowledge in practice, and to the study and the structural analysis of the content of their transformation processes into innovation in technoparks. We show that the innovation processes are required to be analyzed and classified; their stages, as well as the system of indicators need to be improved. The need for the implementation of scientific and technological ideas is commented and considered as a process of innovation. The structure of the innovation process, its features and of stages are explained and classified in technoparks. The factors that affect the innovation processes are investigated; and the processes automation issues are considered, as well. Organizational and economical mechanisms used for the implementation of the innovation processes are analyzed and a number of recommendations are developed to improve the process.

Aspect Oriented Software Development (AOSD) has been considered one of the most promising abstractions to make software structure more maintainable and configurable. It also helps to overcome two big issues of current object oriented programming principles, to reduce the problem of code tangling and code scattering. Aspect Oriented Programming (AOP) has been focused largely in the implementation/coding phase. But nowadays the AOP has been matured enough to turn into AOSD, as it the main objective of separation of concerns right through the process of software development. In this paper we deal with the impact of aspect in development of software especially in designing aspect with Unified Modelling Language (UML). We propose visual models to incorporate aspect and aspectual constructs as an UML metamodel approach and new extensions to UML. The proposed language aspect oriented design modelling language (AODML) is an extension for aspect modelling into existing UML specifications. This paper allows designers to specify and realize aspects in the design and implementation phase explicitly. The proposed visual models, supports Aspect, aspectual components and its association with base components i.e. classes to be incorporated into UML. AODML motivates designer to get benefited to develop the system using AOSD paradigm. It allows to model aspects in design diagrams so that it can be implemented in any AOP language effectively.

With the advent of and rapidly increasing use of organic, chemical, hazardous, non-hazardous, natural and man-made gases into various industrial processes like food processing industries, oil and gas sector, domestic usage and etc., the detection of sophisticated gas leakage system has become a concern and need of the hour. Chernobyl and Bhopal gas tragedies are some of the horrible examples that lay the foundations for the significance of this project. This paper is based on working model of an automated, low-cost, simple design, computer-based embedded instrumentation system, which can detect leakage of Liquefied Petroleum Gas and Carbon Dioxide Gas in surrounding environment using fast and accurate gas sensing technologies and then provide control action over the surrounding using final control elements to maintain the gas concentration within levels that human body can bear. To accomplish this objective a Graphical User Interface has been developed on LabVIEWTM that is interfaced with the gas sensor modules through Arduino (controller and data acquisition device) to track the real-time gas concentration and energize actuator mechanism to lower down the concentration by turning ON exhaust fans and hence perform function of a 'Control System'. The controlling action is effective and the results are promising. The energizing action is further used to generate alarms of gas leakage and hence this paper is aptly entitled as 'Gas Scathe Admonisher'. Data Acquisition System used in this process overcomes the human intervention and increases the overall efficiency and safety of the system. The Graphical User Interface with detailed information of prototype makes it useful for teaching purposes in laboratories for experimentation.

Nowadays, Identification and Classification of voice pathology plays a major role in the field of speech processing. This paper explores and compares various things like input database, parameters, features extraction techniques, methodology and classification techniques used by the researchers in the problem of identifying the voice pathology. In this paper, we compared seven research works done in the field of voice pathology identification and classification. By analyzing the data's mentioned in these research papers and by considering these research papers as a base study, we wish to do the further research on voice pathology identification.

Digital watermarking is a technique which allows an individual to add hidden copyright notices or other verification messages to digital audio, video, image and documents in such a way that the watermark cannot be removed against different attacks. Digital Watermarking is a process to prevent the unauthorized access and modification of data. It ensures that the communication between two parties' remains secure. Digital watermarking can be performed in spatial and frequency domain. In the spatial domain, the watermark is embedded in the very existence of the pixel. In frequency domain, the transformation of any kind is applied and then information is embedded. In this paper, we proposed an approach to watermarking in frequency domain using DWT technique. The gray scale host image is divided into four sub bands: LL, HL, LH, HH and the watermark are inserted in the LL sub band using DWT technique. As the image is divided into four sub bands, a watermark of equal size of the LL sub band is inserted and the results are analyzed on the bases of different parameters such as PSNR and MSE. LL represents the average component of the host image which contains the maximum information of the image. In this approach the watermark is inserted in LL sub band using XOR operation. As the table IV shows, the imperceptibility of this method is quite good. Also, it shows good results when compared with existing methods.