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Surface To Surface Map Algorithm For Protein - Small Molecule Matching
Current methods for protein analysis are based on either sequence similarity or comparison of overall tertiary structure. These conserved primary sequences or 3-dimensional structures may imply similar functional characteristics. However, substrate or ligand binding sites usually reside on or near protein surface, so, similarly shaped surface regions could imply similar functions. Our current work includes development of an algorithm that would allow surface matching over specific regions on related proteins with an output equal to the match percentage between two proteins. Initial results indicate that we can successfully match a family of related active sites, and find their similarly shaped surface regions. This method of surface analysis could be extended to help us understand functional surface relationship between the proteins within which there is no relationship in sequence or overall structure
Rourkela steel plant automation:A case study
n order to improve product quality, reduce cost, increase customer satisfaction and to sustain the global competition, automation in the existing infrastructure of the steel industry is essential. After liberalization started in the steel sector in India, a large number of steel plants have come up with most advanced technology. In this paper automation process in Integrated material management system (IMMS), Electronic Procurement system (EPS), Product Planning and Control System (PPCS) are discussed and possibility of implementation of ERP and GPS based transportation system is discussed for automation
Carrier Frequency Offset Estimation Algorithm in the Presence of I/Q Imbalance in OFDM Systems
In this paper, we analyzed the feasibility of using a virtual carrier based carrier frequency offset estimation algorithm in the presence of I/Q imbalance in OFDM systems. Based on the analysis of the signal model with both receiver CFO and I/Q imbalance impairment we conclude that it is feasible to extending the virtual carrier based CFO estimation algorithm to the I/Q imbalance scenario. The CFO estimation performance is evaluated through computer simulation. Impact of parameters on the estimation performance is investigated and it is consistent with our analysis. After CFO correction, a blind based I/Q imbalance estimation and compensation algorithm is applied. The final detection performance demonstrates that the virtual carrier based CFO estimation performance is good enough for subsequent I/Q imbalance estimation and compensation
Intelligent Control For Locating Fault in Transmission Lines
This paper presents a new approach for locating fault in transmission line using intelligent control relaying. Fault must be detected at its inception by issuing an output signal indicating this condition. Neural network approach for locating fault can be posed as a pattern-recognition to recognize pure sinusoidal signals as indicators of a normal system condition; abrupt changes of amplitude, phase, or the presence of transient components as indicators of fault. This method uses the fundamental frequency components of voltage and current basically current at pre-fault and post fault condition, measured at each phase from any one end of the selected power system. In this approach the data sets were trained using the available data from the system which comprises of different fault types data, and fault inception angles. This approach of locating fault using intelligent control can be used for supporting a new generation of very high speed protective relaying system
HI-TECH ENERGY METER WITH AUTOMATIC LOAD CONTROL
Now a day’s automation is in every field, although there are many places automation has been emerged and successfully implemented but still the service provider for energy still uses conventional methods for getting the energy consumed by individual customer. This method is very time consuming and un- economical and may lead to human error. Our proposed system (AMR) will automatically send the data of the digital energy meter to the service provider with the help the help of the GSM modem once in a day and hence the system will report the service provider once in a through SMS. The same system can be used to check the last reading consumed by the consumer, when demanded by user through the same GSM modem .The device can also be used to control the load from both the ends that is (user –service provider) with the help of relay circuit and system will also be provided with an LCD display which will update the consumers with different information’s regarding tariff change or sudden power cut
GRAY COLOR CONVERSION USING CLASSIFICATION METHOD
There are various methods of gray conversion of RGB color images. They are calculated by three functions, Grayscale function, the Desaturate function, and the value component of the HSV option of the Decompose function. By converting this method we found the gray color image but when trying the reverse it is not same as actual images. That is due to the function that produces same value for different color and when reversing there is conflict between choosing one of them. Here I want to introduce a function using Classification method that produces different values of gray color for a range of RGB color images so the nearly reverse is possible
A DYNAMIC WATERMARKING MODEL FOR MEDICAL IMAGE AUTHENTICATION
This paper proposes a dynamic watermarking model for the purpose of medical authentication. While transferring the data through a public network there is jittering or tampering of data. This is a matter of concern as any jitter or tampered data is not desirable in the medical field. It is noted that there is loss of life due to corrupted data received leading to wrong diagnosis. The proposed dynamic model proves that the medical image watermarked with the proposed system provides near lossless original image. Since the watermark is generated dynamically it is unique to the images considered therefore enhances the security of the images. The Proposed scheme is in the TIFF (Tagged Image File Format) using RGB colour space. The given watermar
AN ADAPTIVE BACKGROUND UPDATION AND GRADIENT BASED SHADOW REMOVAL METHOD
Moving object segmentation has its own niche as an important topic in computer vision. It has avidly being pursued by researchers. Background subtraction method is generally used for segmenting moving objects. This method may also classify shadows as part of detected moving objects. Therefore, shadow detection and removal is an important step employed after moving object segmentation. However, these methods are adversely affected by changing environmental conditions. They are vulnerable to sudden illumination changes, and shadowing effects. Therefore, in this work we propose a faster, efficient and adaptive background subtraction method, which periodically updates the background frame and gives better results, and a shadow elimination method which removes shadows from the segmented objects with good discriminative power. Keywords- Moving object segmentation
QoS Parameter Analysis on AODV and DSDV Protocols in a Wireless Network
Wireless networks are characterized by a lack of infrastructure, and by a random and quickly changing network topology; thus the need for a robust dynamic routing protocol that can accommodate such an environment. To improve the packet delivery ratio of Destination-Sequenced Distance Vector (DSDV) routing protocol in mobile ad hoc networks with high mobility, a message exchange scheme for its invalid route reconstruction is being used. Two protocols AODV and DSDV simulated using NS-2 package and were compared in terms throughput, end to end delay and packet faction delivery varying number of nodes, speed and time. Simulation results show that DSDV compared with AODV, DSDV routing protocol consumes more bandwidth, because of the frequent broadcasting of routing updates. While the AODV is better than DSDV as it doesn’t maintain any routing tables at nodes which results in less overhead and more bandwidth. AODV perform better under high mobility simulations than DSDV. High mobility results in frequent link failures and the overhead involved in updating all the nodes with the new routing information as in DSDV is much more than that involved AODV, where the routes are created as and when required. AODV use on -demand route discovery, but with different routing mechanics. AODV uses routing tables, one route per destination, and destination sequence numbers
Dynamic Thread Pool based Service Tracking Manager
The Service Tracking Manager (STM) application is a management software that integrates, collects, and manages alerts/events information from Casino Management Systems. It allows casinos to track alerts and events at different locations. Casinos staff attends to various kinds of requests. The requests can be for providing customer service, handle events related to slots, alerts for security reasons, and so on. As the size of the casino increases, handling, managing, and prioritizing the requests become difficult and casinos resort to hiring more staff. STM is independent of the host system and receives requests from Slot Management Systems, Casino Management Systems and other source applications as appropriate. Once the requests are received, the STM application helps in managing and prioritizing the requests. The main functionality or the key operation to be performed on the data is the parsing to check if it is required by the STM system. To distribute the work, the Thread Pool concept is used. The STM application also runs the logic for prioritizing the tasks and assigns it to the staff. The present work proposes a service tracking manager based on dynamic thread pool concept. The paper examines the correlation between the internal characteristics and the performance of the static and dynamic thread pool. The simulation results show that dynamic optimization for thread pool size is very effective in alleviating the management overhead and improving the overall performanc