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TRANSAIR LMS-2450 Messaging and Application Server Offers Increased Reliability, Speed and Flexibility
Three-fourths of the world’s energy is consumed in cities and more than half of it is consumed in buildings. The construction sector is one of the most traditional & cost oriented industries and it makes much sense to bring innovations that are environmentally and economically sustainable. Sustainability in the construction sector or in other words green buildings are mainly focused on the reduction of emissions, construction of energy efficient houses and maintaining thermal comfort of the occupants. However we can further innovate to excel in terms of zeroed environment impacts and resource optimization. To comprehend the innovations which have happened in green buildings, this study entitled “Innovations in Design- A Study of Green Buildings” was conducted. It focuses on technologies and strategies used and catalysts and hindrances faced while adopting Innovation category in green buildings certified under the prevalent green rating systems in India i.e.
English is a widely spoken language today. It has often been referred to as ‘global language’, the lingua franca of the modern era and currently the language most often taught as a second language around the world. English in India is used not only for communicating with the outside world, but also for inter-state and intrastate communication. Because of the great ethnic and linguistic diversity found within our nation, English acts as an indispensable ‘link’ language. With the Information Technology revolution and most software and operating systems being developed in the English language, a new utility for written and oral communication in the English language has emerged. English is said to be the world’s most important language having communicative and educative value. English is used all over the world not out of any imposition but because of the realization that it has certain advantages.
Due to the rapid technological progress, the consumption of electric energy increases continuously. But the transmission systems are not extended to the same extent because building of new lines is difficult for environmental as well as political reasons. Hence, the systems are driven closer to their limits resulting in congestions and critical situations endangering the system security. Power Flow Control devices such as Flexible AC Transmission Systems (FACTS) provide the opportunity to influence power flows and voltages and therefore to enhance system security, e.g. by resolving congestions and improving the voltage profile. Several kinds of FACTS controllers have been commissioned in various parts of the world. This paper presents various types of FACTS devices such as: load tap changers, phase-angle regulators, static VAR compensators, thyristorcontrolled series compensators, interphase power controllers, static compensators, and unified power flow controllers.
The leaning systems in Iraqi universities face many challenges of managing the learning efforts such as activities, services, and infrastructures. The universities budgets are restricted which maximize the difficulty of provide efficient learning services. The universities need to manage their learning environment aspects effectively to minimize the learning resources costs and maximize the level of learning environment management. This paper presents proposed E-learning system for Iraqi universities in order to manage the learning environment and reduce the expenses of the learning processes; the quantitative approach using questionnaire used to analyze the current challenges of learning environment; the qualitative approach using interview used to analyze the most suitable Elearning features and characteristics to avoid the current challenges of leaning environment in Iraqi universities. The proposed model provide the services accessibility and availability using internet as platform
This paper proposes a unique standalone hybrid power generation system, applying advanced power control techniques(APC), fed by four power sources: wind power, solar power, storage battery, and fuel cell, and which is not connected to a commercial power system One of the primary needs for socio-economic development in any nation in the world is the provision of reliable electricity supply systems. This work is a development of an indigenous technology hybrid Solar –Wind and fuel cell Power system that harnesses the renewable energies in Solar- Wind and fuel cell to generate electricity. Here, electric DC energies produced from photovoltaic and wind turbine systems are transported to a DC disconnect energy Mix controller. The controller is bidirectional connected to a DC-AC float charging-inverter system that provides charging current to a heavy duty storage bank of Battery and at the same time produces inverted AC power to AC loads. This paper focuses on the modeling and simulation
Moodle is a online E-learning management system Which is adopted globally by various colleges, Universities and Organization to enhance online learning . Online learning Management systems offer elementary tools to share course Materials to communicate with students, collect assignments and manage grades. Moodle was designed to support a additional cooperative and participative teaching and learning atmosphere than different learning management systems. Authors aim to Implements the design and development of E-learning LMS based on Moodle which is designed for a category in which there are three courses program. The system is intended to be dependent on the availability of the graduate/postgraduate, administrative and scientist is dependent on Moodle open-source. In this paper authors have mainly focused on Customization and implementation of LMS Moodle.
Human motion detection and analysis is currently an important area of research, motion analysis help us to solve many problems. An Automated Video Surveillance Model is presented in this paper. The model which I proposed is capable of detecting and monitoring people in both environments Indoor and outdoor. The Model is capable to find out the Suspicious and NonSuspicious activities. It also detects multiple peoples in video and monitoring their activities. Moving targets are detected and their boundaries extracted, we use star skeletonization technique with the adaptive centroid point to create human skeletons. In this paper we use HMM-based methodology for action recognition. In our proposed method, a series of star skeletons is generated according to action over time. Then, time-sequential images frame is converted into a feature vector sequence and the feature vector is translated into sequence of symbols after that we use Neural Network for action recognition which represents
Low power consumption and smaller area are some of the most important criteria for the fabrication of DSP systems and high performance systems. Optimizing the speed and area of the multiplier is a major design issue. However, area and speed are usually conflicting constraints so that improving speed results mostly in larger areas. In our project we try to determine the best solution to this problem by comparing a few multipliers. The area and speed of the multiplier is an important issue, increment in speed results in large area consumption and vice versa. Multipliers play vital role in most of the high performance systems. Performance of a system depends to a great extent on the performance of multiplier thus multipliers should be fast and consume less area and hardware. This idea forced us to study and review about the Booth’s Algorithm.
Adverse Drug Reaction (ADR) is one of the most important issues in the assessment of drug safety. In fact, many adverse drug reactions are not discovered during limited premarketing clinical trials; instead, they are only observed after long term post-marketing surveillance of drug usage. In light of this, the detection of adverse drug reactions, as early as possible, is an important topic of research for the pharmaceutical industry. Recently, large numbers of adverse events and the development of data mining technology have motivated the development of statistical and data mining methods for the detection of ADRs. These stand-alone methods, with no integration into knowledge discovery systems, are tedious and inconvenient for users and the processes for exploration are time-consuming. This paper proposes an interactive system platform for the detection of ADRs. By integrating an ADR data warehouse and innovative data mining techniques, the proposed system not only supports OLAP style