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Context Addition in Wireless Sensor Networks

Thesis Info

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Author

Hussain, Majid

Program

PhD

Institute

University of Engineering and Technology

City

Lahore

Province

Punjab

Country

Pakistan

Thesis Completing Year

2016

Thesis Completion Status

Completed

Subject

Computer Science

Language

English

Link

http://prr.hec.gov.pk/jspui/bitstream/123456789/12954/1/Majid%20Hussain_CS_2016_UET_lhr_Main%20part.pdf

Added

2021-02-17 19:49:13

Modified

2024-03-24 20:25:49

ARI ID

1676727719797

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The property of any artifact for being aware of its physical environment or situation and responding in a proactive and intelligent manner is the Context Awareness typically realized through Context Aware Applications (CAA)—an exceptional genus of WSNs. Although almost each CAA follows sense-decide-adapt cycle, the notion of context is hardwired into the applications. In such sort of mechanism when an event is triggered the sense-decide-actuate cycle runs and performs the required actuation. In the situations, for instance, whenever the same event is triggered, the cycle produces same actuation by using same context semantics, situational recognition, perception and adaptation, posing same processing load, delay and mechanical use of resources for acquiring same amount of actuation. In this thesis we propose CRAM, a context added system in which the actuations once performed by the system help the system to internally evolve by serving as new contexts. As the system is exposed to more situations overtime, its context repository is enriched through such retrospective contexts, gradually letting it perform internal actuation through improved introspective contexts. This internal actuation leads the system towards the evolution of intelligent processing by reducing the independent function of decision in sense-decide-actuate cycle and merging it with new context. Finally it reaches at a juncture where the recurrence of each event proves to be a stimuli that stimulates the system to respond through primed memory of introspective contexts achieving an imitation of learned reflex action and a cut through processing paradigm along with reduced time and energy expenditure. Through analytical modeling and prototype implementation, the performance of CRAM is substantiated. The implementation of reflex arc is shown to provide the same level of accuracy for visual context processing as that of contemporary context aware systems with more than 10 times improvement in responsiveness.
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راستوں نے کیا آج مجھ پر عیاں

راستوں نے کیا آج مجھ پر عیاں
فہدؔ رکتے نہیں منزلِ شوق میں

Dengue Fever: A Continuous Threat

Dengue fever is a vector borne disease and is caused by DEN Virus. This virus has four different serotypes. The vectors are two mosquitoes known as Aedesaegypti (the yellow fever mosquito) and Aedesalbopictus(the Asian tiger mosquito).  First case of dengue fever was reported back in 1994 in Karachi. A complete outbreak of this epidemic shook the whole nation in 2012. Uptill now, Lahore a city full of culture, witnessed about 16,580 confirmed cases and 257 deaths. About 5000 confirmed cases with 60 deaths were reported from the rest of the provinces. Under guidelines of WHO, Government has made efforts to combat this epidemic. Although the overall efforts have minimized the outbreak on controllable levels but dengue fever is a continuous threat. Since no permanent cure is available, the transmission of DEN virus is controlled indirectly. So the prime focus is to control mosquito population and decrease the possible hot spots i.e. Mosquito breeding sites in human habitations. Every year, the country witnesses monsoon season which brings vast areas full of clear standing waters providing breeding sites for mosquitoes which ultimately leads to increased number of patients suffering from dengue fever. Efforts have been made to fight against dengue including formation of dengue wards in hospitals, vector surveillance, community education, reactive vector control etc. A study has shown prevalence of four mosquito genera in Pakistan including Aedes, Culex, Armigeresand Anopheles. All of the above mentioned genera are associated with disease transmissions as they are the vectors of different viruses and parasites. It is the need of hour to do a collaborative effort stressing the community mobilization and management in war against dengue.

Substrate Dependent Microbial Biosynthesis of Auxins and Their Effect on Growth and Yield of Mung Bean Vigna Radiata L.

Rhizobia are capable of promoting the growth of legumes through a number of mechanisms of action including phytohormone production. Auxin being a plant hormone is produced by rhizobia and this ability increases many folds in supplementation with some suitable physiological precursor like L-tryptophan. Substrate-derived auxins have the ability to promote plant growth by supplementing sub-optimal auxin levels in legume plants like mung bean. So, this project was designed to evaluate the effectiveness of rhizobia under axenic conditions in supplementation with L-tryptophan on the growth and yield of mung bean crop. To test this hypothesis, a series of laboratory, wire house and field experiments were conducted. Rhizobium phaseoli were isolated from different locations of Faisalabad from nodules of mung bean crop. Forty four rhizobial cultures were isolated from mung bean nodules and tested for auxins biosynthesis in vitro colorimetrically and confirmed by high performance liquid chromatography (HPLC). Rhizobial isolates varied in auxin biosynthesis ranging from 8.8 μg IAA equivalents mL -1 to 38.3 μg IAA equivalents mL -1 without L-tryptophan. Auxin biosynthesis by rhizobial isolates in supplementation with L-tyrptophan, increased many folds (1.1 to 7.9 folds) and N42 produced maximum auxins in L-tryptophan supplemented media. Different environmental factors like substrate (L-Trp) and C-source (glucose), pH, incubation temperature, incubation time and aeration (static vs. shaking) significantly affected auxin production. Growth pouch experiments were conducted in the laboratory using 34 rhizobial isolates for improving growth of mung bean seedlings using three mung bean cultivars i.e. NM-92, NM-98 and NM-2006 under axenic conditions. Fifteen isolates were selected through screening in jars using principal component scoring method. Three most efficient rhizobial isolates i. e. A23, N12 and N42 were tested alone and in combination with different L-TRP concentrations (10 -3 , 10 -4 and 10 -5 M) to test the hypothesis of substrate dependent auxin production for improving the growth of mung bean (var: NM-92, NM-98 and NM-2006) under axenic conditions. These isolates were further tested alone and in combination with 10 -3 , 10 -4 and 10 -5 M L-Trp for improving growth and nodulation of mung bean. Finally these three rhizobial isolates i.e. A23, N12 and N42 along with 10 -3 , 10 -4 , 10 -5 M L-Trp concentrations were further used in pot and field experiments using mung bean variety NM-2006. Rhizobial isolates A23, N12 and N42 alone and in combination with 10 -3 , 10 -4 and 10 -5 M L-Trp concentrations were tested in pots at the wirehouse, Institute of Soil and Environmental Sciences, University of Agriculture, Faisalabad. Results of pot experiments revealed that separate application of rhizobia significantly increased growth parameters but the combined application of rhizobia and L-tryptophan further significantly increased yield and nodulation. Field trials were conducted at two sites these rhizobial isolates A23, N12 and N42 alone and in combination with 10 -3 , 10 -4 and 10 -5 M L-Trp concentrations were tested at two N levels i. e. half and full recommended dose of N fertilizer. Results revealed that rhizobial inoculation alone significantly increased growth parameters (fresh biomass, grain yield, shoot length, root length, number of pods plant -1 , and number of grains pod -1 , 1000-grain weight, number of nodules plant -1 , fresh and dry weight of nodules, NPK contents in grain) of mung bean variety NM-2006. But the combined application of rhizobia along with L-Trp (10 -4 and 10 -5 M) further increased the mung bean yield and nodulation. This implies that substrate dependent microbial biosynthesis of auxins as a result of precursor (L-Trp)-inoculum (rhizobia) interactions can be successfully used for improving the growth and yield of legumes.