UET Peshawar Publications Site (University of Engineering and Technology, Peshawar)
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MULTI HOP CLUSTER DESIGN IN WIRELESS SENSOR NETWORKS
Wireless sensor networks (WSN) are the refined networks used to gather information from different environment factors. It is a promising technology which is composed of tiny sensing objects called sensors that are wirelessly distributed in the environment of interest in the form of clusters. Consumption of energy of sensor nodes depends on the size of the cluster and the amount of information send over the network. An inherent problem with the WSN is the consumption of battery power since when the cluster size is increased depending on application it is designed for, battery life of sensor nodes gets reduced with this extra consumption of energy due to the expanded size of the cluster. In this paper we examined different performance matrices of the WSN by increasing the size of cluster up to four hops and then compared the results with the network having a cluster with small number of hops
Analysis of site, situation and their impact on resettlement of proposed new Balakot town, Pakistan: An ex post evaluation of 2005 Kashmir earthquake
The 2005 Kashmir Earthquake has completely destroyed the town of Balakot. As a consequence the site of Balakot town has been declared as a red zone and for resettlement new Balakot town was proposed at Bakryal. There is uncertainty about the resettlement. The new Balakot town attract the low income and servant class of the old Balakot town for residential purposes. However, the politicians, businessmen and landlords of the community are fear to suffer. As a result, these groups resist the process of resettlement. This uncertainty about the resettlement is the product of human interaction with the site and situation of new Balakot town in post 2005 Kashmir earthquake scenario. The site is feasible while situation is not encouraging in the new Balakot town, which creates uncertainty about the future of new Balakot town. This paper attempts to carry out the analysis of site, situation and their impact on resettlement of proposed new Balakot town, Pakistan. The site analysis provides details of vulnerability to hazards, civic utilities and services. The new Balakot is a planned town and have low vulnerability to seismic hazards. The situation analysis explores the potential growth and development of the new town which is measured in term of economic base. The potential basic and non-basic activities structure is analysed for the study of economic base of new Balakot town. The basic activities infrastructure is not attractive for the residents of the Balakot town as there are least business and other employment opportunities. It was found that initially the property business and high level of non-basic activities and later on the basic activities will support the growth and development of this new town. 
GENERATORS MAINTENANCE SCHEDULING USING HARMONY SEARCH ALGORITHM
Music-based harmony search algorithm is a relatively new meta-heuristic technique. It is used to solve multi-objective optimization problems. Generators maintenance schedules (GMS) play the most significant role for the economical and reliable operation of a power production system. This paper presents the applicationof harmony search (HS) algorithm for solving generators maintenance scheduling problem. HS algorithm is quite efficient, because, the convergence rate of this algorithm is very fast. HS algorithm is based on the concept of music improvisation process of searching for a perfect state of harmony. To verify the great powerof this method, HS algorithm is applied to solve GMS problem of different power production systems. Simulation results reveal that the proposed algorithm is a powerful search algorithm for various optimization problems
FRACTAL COLOR IMAGE COMPRESSION USING A FAST ENCODING ALGORITHM
In this paper a fast fractal encoding algorithm based on the law of cosines is implemented in MATLAB for color images. The implementation results show that the algorithm reduces the average number of searched domain blocks for each range block by a considerable amount as compared to exhaustive search, consequentlyreducing the encoding time. In addition, we get a completely identical fractal code to that of exhaustive search resulting in the same reconstructed image quality. Moreover a general iterative fractal decoding algorithm is also implemented and the PSNRs of the decoded RGB components are plotted against the number of decoderiterations, These convergence plots show that the components reach the fixed point after 6-7 decoding iterations
APPLICATION OF CROSS CORRELATION ALGORITHM TO MATCH GEOMETRICALLY DISTORTED IMAGERY
Correlation algorithm can directly match and locate low level features such as templates against similarly structured features in a particular search area. However, the implementation of this algorithm in template matching techniques have a few problems which need to be addressed. One of these problems is that it is impaired when the search areas are severely distorted. In this paper the performance of the template matching technique using shape similarity and cross correlation is studied in relation to known geometrical distortions in the imagery obtained from High Resolution Picture Transmission ( HRPT ) data fromthe Advanced Very High Resolution Radiometer ( AVHRR ) on-board the Television and Infrared Observation (TIROS )— N series of satellites. The simulation of this algorithm with known geometrical distortion suggests that the algorithm can recognize and accurately locate a goodfraction of known features (control points ) with a reasonable confidence in a given search area provided that the search areas are free of severe distortions
Identification of the Optimal Operating Parameters of Locally Available Coal for Use in Pakistani Industries
A parametric study intended to determine optimum burning parameters of locally available coal from mines in Darra Adam Khel is being reported. The coal samples were tested in a cyclone combustor using the pulverized coal combustion technique. Effect of mesh size, primary and secondary air velocity at various air fuel ratios was investigated to quantify the combustion performance by measuring the furnace temperature. Mesh size 200 was found to be readily combustible within the operating ranges, while tight control of the operating parameters was required to combust coal at mesh size 150. Optimum ranges of primary air and Air-Fuel Ratio are suggested for effective combustion. The study will help in effective utilization of indigenous coal reserves of Pakistan
A Note on Geometric Aggregation Operators in Spherical Fuzzy Environment and its Application in Multi-Attribute Decision Making
T-spherical fuzzy sets (T-SFSs) and spherical fuzzy sets (SFSs) are the generalizations of fuzzy sets (FSs), intuitionistic fuzzy set (IFS) and picture fuzzy sets (PFSs). This manuscript is a contribution to the area of SFSs and T-SFSs. In this manuscript, some properties of aggregation operators for SFSs and T-SFSs are discussed and some ordered weighted geometric (OWG) and hybrid geometric (HG) operators are developed. It is discussed that these aggregation operators are generalizations of the aggregation operators of IFSs and PFSs. Multi-attribute decision making (MADM) process is discussed in spherical fuzzy environment and illustrated with a numerical example. The results obtained are compared with the existing structures
Efficient Routing Scheme for Unidirectional links in Multi-hop Networks
This paper presents an efficient routing scheme for Multi-hop Network in the presence of unidirectional links. The distinct feature of this routing scheme is the capability to actively provide routing paths even though a large number of unidirectional links are present in the network. The results depicts that the routing scheme is able to reduce the delay and routing overhead compared with the already available routing scheme like AODV and AODV-Blacklist. The performance of proposed routing scheme called Active Reverse Route (ARR) scheme is compared with AODV and AODV-Blacklist routing protocols in Multi-hop networks. The performance analysis when compared with the three routing protocols to manage unidirectional links shows that our proposed ARR scheme is superior to the AODV and AODV-Blacklist
AN EFFICIENT AND SECURE SESSION KEY ESTABLISHMENT SCHEME FOR HEALTH-CARE APPLICATIONS IN WIRELESS BODY AREA NETWORKS
Wireless Body Area Network (WBAN) is special breed of Wireless Sensor Network (WSN). Due to the increasing interest and the tremendous advancement in miniaturization and sensor technology, WBAN has emerged as an active filed of research. WBAN has many unique applications especially in medical and health-care. This kind of network provides support in on-the-spot decision making and therapeutic treatments. However, one of the main issues with WBAN in medical applications is security and patients’ information privacy. In such applications ensuring human vital sign privacy and security is very important. To address this important issue, in this paper we propose a novel secure session key establishment scheme for WBAN in health-care domain to ensure security and privacy of vital sign related to human body. In the proposed scheme, session key is established for a specific period of time in order to communicate important data related to vital signs of patients’ health securely. Hence, on the basis of this reliable and secure data transmission, efficient required medical decision can be taken. As a result, on the spot health-care operation can be performed by utilizing different health-care units. The proposed scheme is dynamic in nature, i.e. if a node in the network is compromised or a new node joins the network, the process of session key establishment is re-initiated. The proposed scheme has been evaluated through extensive simulation, and the results are compared with an existing scheme. The simulation results show that our scheme is efficient and cost effective in terms of communication and computation cost, and key establishment delay, hence conserves energy and enhances security
DESIGN AND COST ANALYSIS OF MOLD MAKING FACILITY AT GHANI GLASS INDUSTRY
It is important for the manufacturing and service industry to reduce their costs and expenses to maintain a sustainable position in the global marketplace. Selecting the right manufacturing strategy and planning is a critical decision for production managers in the industry. The layout problems generally exist in the manufacturing industries. In the industries the layout problems deals with the facilities like departments, machines etc. As a case study, this paper presents a machine shop producing molds for local based bottles production industry. The mold making machine shop capacity is enhanced to fulfill the annual requirement by minimizing travel distance, removal of bottlenecks during production, material handling and losses. Firstly, several layouts were generated using Systematic Layout Planning (SLP) and efficiency rate is calculated. The cost analysis of the modified layout was calculated by giving a payback period also. The results show that the proposed layout performs efficiently for the annual demand