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Urban Planning Using Big Data Analytics Based Internet of Things

Thesis Info

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Author

Muhammad Babar

Program

PhD

Institute

National University of Sciences & Technology

City

Islamabad

Province

Islamabad

Country

Pakistan

Thesis Completing Year

2018

Thesis Completion Status

Completed

Subject

Software Engineering

Language

English

Link

http://prr.hec.gov.pk/jspui/bitstream/123456789/10198/1/Muhammad%20Babar_SE_2018_NUST_PRR.pdf

Added

2021-02-17 19:49:13

Modified

2024-03-24 20:25:49

ARI ID

1676727854726

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The recent expansion in the field of Internet of Things (IoT) and Big Data is providing a large production potential in the course of the new era of smart urban. The IoT infrastructure for the design of smart urban consists of devices, objects, sensors and citizens producing huge gigantic data (i.e. Big Data). IoT-based smart urban environment provides the digital traces of human and objects that can be analyzed. The major aim of smart urban is to efficiently utilize the data to administer and resolve the issuesconfront by recent smart cities regarding data processing.This study presents Hadoop-based Big Data analytics architecture to address the challenges in data generated in IoT environment. The proposed architecture is based on customization of Hadoop architecture and external entities to efficiently process Big Data generated in IoT environment. The proposed scheme is comprised of Big Data loading into Hadoop and Big Data processing. The existing solutions provide manual and serial data injection into Hadoop. Moreover, the existing solutions do not tackle the communication overhead efficiently that affects the processing. Data loading and storing is performed by proposing parallel and utility-oriented solution based on multiple attributes. Unlike traditional MapReduce architecture, customized YARN-based cluster management solution is provided to manage the cluster resourcesefficiently and process the data using Map-Reduce algorithm separately. The proposed architecture is tested with a variety of reliable datasets using Hadoop framework. The comparison of proposed architecture with existing solutions and default architecture of Hadoop is provided to verify and reveal that the proposed architecture is more efficient then existing smart urban architecture using Big Data analytics for processing data produced in IoT-environment.
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عارف عباسی

عارفؔ عباسی
عارف عباسی بھی اﷲ کو پیارے ہوگئے، وہ اس دور کے ممتاز غزل گو اور جگر کے طرز کے کامیاب مقلد تھے، انہوں نے اپنی ظاہری وضع و قطع بھی انہی کی جیسی بنالی تھی، ان کا مکان اعظم گڑھ سے متصل ضلع ملبا میں تھا اس لئے اعظم گڑھ میں اُن کے پرانے تعلقات تھے اور یہاں برابر اُن کی آمدورفت رہتی تھی پہلے جب اعظم گڑھ آنا ہوتا تھا تو دارالمصنفین ضرور آتے تھے، اور اپنے تازہ کلام سے محظوظ کرتے تھے، مگر ادھر کچھ دنوں سے اس وضعداری میں فرق آگیا تھا، عرصہ تک اُن کی غزلیں معارف میں چھپتی رہیں، اُن کے تعزل میں بڑی لطافت و پاکیزگی تھی ابتدا میں راجہ صاحب نانپارہ کے لڑکوں کے اتالیق رہے تھے، اس لئے درباری آداب اور علم مجلس کے بڑے ماہر تھے، اُن کی عمر ساٹھ باسٹھ سال کی رہی ہوگی، ادھر کچھ دنوں سے کچھ قلبی شکایت ہوگئی تھی، اسی نے مرض الموت کی شکل اختیار کرلی، اﷲ تعالیٰ ان کی مغفرت فرمائے۔ (شاہ معین الدین ندوی،نومبر ۱۹۷۱ء)

حديث أُمرت أن أقاتل الناس حتى يشهدوا: دراسة في حرية الاعتقاد والفعل

One of the greatest epistemological accomplishments that Muslims have achieved is the establishment of an accurate system of deriving rulings from Sharia texts, which is known as ‘principles of jurisprudence’ or Usūl ul Fiq. Among the significant contents of these subject is dealing with the text which apparently contradicts to other basic principles of Islam or objectives of Sharī’ah. The job of a jurist becomes more significant and difficult in devising the judgments and interpreting the texts as reported by the fundamentalists: inquiring the validity of the texts, finding its weakness with respect to strong argument, and comparing them in terms of authenticity. Other times, he tries to reconcile between the contradictions by keeping in view a meaning consistent with Sharī’ah. The application of these principles gave birth to the variety and diversity of opinions on account of Ijtihād. Keeping in view the above preamble, the author addressed one of the famous Ahadith of Holy Prophet PBUH: “I have been ordered to fight against the people until they testify.”. This saying of Holy Prophet PBUH attracted Muslim thinkers in past and present to address its meanings and application. Likewise some related debate has emerged in the modern period as regards whether the term "people" in the hadith is used generically or specifically - forcing these people to Islam after defeating? The author in this context, addressed the terminology of hadith, its apparent contradiction with the principles of Sharī’ah, legal maxims, provisions, diverse interpretations, and added his own opinion. Descriptive and qualitative research approach was employed for the collection, demonstration and analysis of data.

Management of Insect Pests of Cotton Through Eco-Friendly Measures

Five experiments were conducted consecutively for two years (2006 and 2007) for management of cotton insect pests through eco-friendly measures. In experiment-1, cotton agro-ecosystem analysis was carried out mainly based on measurement of the basic components i.e. recording the pest population, damage and natural enemies interactions with pest populations. In experiment-2, eight cotton varieties (CIM-499, TH-57/76, FH-901, CIM-473, CRIS-134, Chandi, Shahbaz and NIAB-78) were screened and monitored for their resistance against sucking insect complexes and bollworms. In experiment-3, sunflower, maize, okra and Sorghum were used as trap crops (sown in cotton) and sucking complex on cotton was compared; the effect of natural enemies on the insect pest population was examined. The population monitoring of spotted bollworm through pheromone traps was carriedout.Similarly, in experiment-4, biopesticiedes (Neem extract, Neem oil, Asafoetida (Hing) and Tobacco) were evaluated against sucking complex, with the compoent-5, model of eco-friendly measures package and IPM techniques was suggested. The results of experiment-1; showed that thrips population appeared on cotton at the age of 24-31 days after planting (DAP) and continued up to harvest. Its peak activity period varied from 1st week of June to last week of July during two years of the study period. This showed that after reaching the age of about two months the cotton crop observed maximum mean thrips population (8.71) per leaf during June-July. The whitefly attackedits vegetative growth at the age of 20-24 (DAP). The peak activity of the pest was recorded from 2nd week of June to 3rd week of July. Maximum peak population (3.20) per leaf was recorded during 2nd week of July. The jassid appeared at the age of 24-31 (DAP) in third week of May and continued upto crop harvest. Maximum activity on cotton remained during June and July with maximum mean of (2.13) per leaf during 2nd week of July. Similarly, the spotted bollworm species appeared on cotton in 3rd week of June on fruiting bodies and continued up to crop harvest. Its peak activity (0.93-2.60) per plant was recorded from 2nd week of August to 3rd week of September and decreased upto crop harvet. The larvae 265 collected from cotton were kept under labartory conditions in which 224 of Earias vitella and 41 of E.insulana emerged. The study confirmed that E. vitella existed in large nembers than E. insulana at the ratio of 57.33: 7.33. The findings of experiment-2; revealed that none of the variety was found immune to the attack of insect pests CIM-499 variety of cotton received the lowest mean whitefly population (0.51), jassid (0.61) and thrips (3.10) per leaf. Whereas, the overall lowest mean population of spotted bollworms (1.41) per plant was recorded in Shahbaz. The findings of experiment-3, indicated that cotton plant alone suffered maximum attack of pests in comparison to cotton planted with different trap crops.Theoverall maximum mean population of thrips was recorded in cotton alone (3.11)followed by (2.99), (2.93), (2.41) and(0.89) per leaf in cotton with Sorghum, cotton with sunflower, cotton with okra and cotton with maize.Similarly, the maximum jassids number (2.61) per leaf was obseved in cotton alone followed by (1.25), (1.24), (1.14) and (0.87) per leaf in cotton with sunflower, cotton with Sorghum, cotton with maize and cotton with okra.The maximum number of whitefly (1.54) per leaf was recorded in cotton alone followed by (1.07) (1.04), (0.89) and (0.82) per leaf in cotton with Sorghum, cotton with maize, cotton with sunflower and cotton with okra. Comparatively higher mean number of spotted bollworms (1.72) per plant was observed in cotton alone followed by (0.79), (0.64), (0.55) and (0.50) in cotton with maize, cotton with sunflower, cotton with Sorghum and cotton with okra, respectively. This showed that the trap crops contributed in pest reductions on cotton crops by attracting the pests as well as natural enemies which ultimatly reduced pest pressure on cotton (main crop). The okra and sunflower attracted sucking pests.The use of sex pheromone traps is advised for supressing of spotted bollworm in cotton. Two species of spiny bollworms were attracted to the sex pheromones traps. Average number of E. vitella (7.22-9.01) was attracted whereas, E. insulana ranged between (1.08-1.33) under field condition. The experiment regarding evaluation botanical pesticides showed that among all pesticides reduction of thrip (67.65%) was recorded in neem extract followed by Neem oil (60.00%), Tobacco (63.59%) and Hing (Asafoetida) (52.68%) after 96 h. of application of pesticides. Overall maximum mean reduction (64.69%) was recorded in neem extract followed by neem oil (57.74%), tobacco (52.91%) and Asafoetida (46.52%).The heighest reduction of jassid (71.97%) was recorded followed by neem oil (70.06%), Hing (Asafoetida) (68.15%) and tobacco (23.56%) after 96 h., of application of pesticides. With regards to reduction percent of whitefly revealed that maximum reduction (60.18%) was recorded in Hing (Asafoetida) followed by neem oil (59.78%), neem extract (59.38%) and tobacco (40.61%) after 96 h., of spray application. The botanical pesticides started reducing their toxicity after 96 h. However, the effective reduction of pests was recorded up to one week. Therefore, the bio-pesticides reduced their effectiveness. Development model of IPM package control measures recommendation were based on two year study on different IPM techniques for benefit of farming community through seminars, trainings and pamphlates. Using the safe botanical pesticides remained effective against sucking pests and is recommended against cotton pests, which showed less effective to natural enemies and environment friendly