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BIG DATA Challenges, Tools and Techniques
Rimsha Khalid,Khowla Khaliq,Muhammad Waseem Iqbal,Muhammad Saleem Butt,Muhammad Usman Bilal 한국차세대컴퓨팅학회 2022 한국차세대컴퓨팅학회 학술대회 Vol.2022 No.10
Data is growing day by day all over the world. The word ''Big-data'' refers to a collection of data sets that are huge and complicated. The data is usually measured in Petabyte or Exabyte. Big data is one of the most talked-about topics in the field of IT. Its role in the future will be very considerable. The massive use of the internet, smartphones and social media has resulted in an increase in data. The usage of such gadgets and the internet not only increases the volume of data but also increases market velocity by allowing into to be moved and shared at light speed across optical fiber and wireless networks. Numerous problems arise as a result of the rapid creation of a large amount of data. So, we presented important concepts of Big-data in this paper. The basic purpose of this paper was to explore Big-data, challenges, and different tools related to it. We studied the previous work in which all writers have well-described big data, its challenges, and how to deal with them. And we have achieved our goal by providing a platform that explored big data challenges and tools for big data storage in detail. Moreover, we have compared these tools by identifying their parameters. In the future, we will find out solutions for these challenges. Furthermore, this paper will open new doors for researchers to explore Big-data, and develop solutions for challenges and unsolved research questions.
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Homomorphic Encryption Technologies for Cloud Computing
Khowla Khaliq,Muhammad Usman Bilal,Rimsha Khalid,Muhammad Waseem Iqbal,Muhammad Aqeel,Muhammad Adnan Khan 한국차세대컴퓨팅학회 2022 한국차세대컴퓨팅학회 학술대회 Vol.2022 No.10
Security is the major concern about data especially when we are storing it on the cloud and handing over it to the third force as the cloud resource supplier. We store our important data on the cloud in the shape of cipher-text but we have to convert it to plain text to perform calculations on it, which disturb its security including confidentiality, privacy, authentication, etc. so, our ultimate goal was to introduce some of the best encryption technique for securing data. In this regard, we have discussed Homomorphic Encryption (HE) in our paper. This survey is shown how HE could be used to make secure data on the cloud. HE is a technique in which data (plaintext) is converted in cipher-text (unreadable format). Users can perform required calculations on encrypted data without decrypting it and which does not affect the original form of data. This paper aims to focus on the fully homomorphic encryption technique. For this purpose, many approaches were analyzed and we suggested the best approach at the end of the paper.
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Diet-Right: A Smart Food Recommendation System
( Faisal Rehman ),( Osman Khalid ),( Nuhman Ul Haq ),( Atta Ur Rehman Khan ),( Kashif Bilal ),( Sajjad A. Madani ) 한국인터넷정보학회 2017 KSII Transactions on Internet and Information Syst Vol.11 No.6
Inadequate and inappropriate intake of food is known to cause various health issues and diseases. Due to lack of concise information about healthy diet, people have to rely on medicines instead of taking preventive measures in food intake. Due to diversity in food components and large number of dietary sources, it is challenging to perform real-time selection of diet patterns that must fulfill one`s nutrition needs. Particularly, selection of proper diet is critical for patients suffering from various diseases. In this article, we highlight the issue of selection of proper diet that must fulfill patients` nutrition requirements. To address this issue, we present a cloud based food recommendation system, called Diet-Right, for dietary recommendations based on users` pathological reports. The model uses ant colony algorithm to generate optimal food list and recommends suitable foods according to the values of pathological reports. Diet-Right can play a vital role in controlling various diseases. The experimental results show that compared to single node execution, the convergence time of parallel execution on cloud is approximately 12 times lower. Moreover, adequate accuracy is attainable by increasing the number of ants.
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Arif Wicaksono Septyanto,Muhammad Usman Bilal,Khowla Khaliq,Muhammad Waseem Iqbal,Rimsha Khalid,Irfan Ullah 한국차세대컴퓨팅학회 2022 한국차세대컴퓨팅학회 학술대회 Vol.2022 No.10
This research work demonstrates surveillance of traffic on roads and streets which is used by private companies and public organizations and government institutions. The primary purpose is the well-organized management of the transport system and public safety on highways and in civil areas. This paper used the technique to well-structured localize the LP and segmentation of captured images is done by the ALPR system. We explained the localization of license plates by using the integrated segmentation method. ALPR system contains several well-observed skeletons like security administration, parking, vehicle identification, streets and road activity management, schedule of toll collecting framework, and so forth. There are various frameworks are present which are used for License plate capturing. The most important part of the ALPR framework is the accurate confinement of different number plates, recognition, and segmentation. By ALPR systems we can easily identify the number of vehicle plates. ANPR system also plays a crucial part in vehicle plate capturing and identification. This system helps in monitoring and tracking automobiles. In this paper, we have tried numerous techniques for traffic control and monitoring purposes which are works based on various techniques and methodologies. But ANPR primarily did their work for accuracy and template matching of vehicle number plates.
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Asif Mahmood,Mudassir HussainTahir,Ahmad Irfan,Bilal Khalid,Abdullah G. Al-Sehemi 대한화학회 2015 Bulletin of the Korean Chemical Society Vol.36 No.11
In this paper, we present the design of five new derivatives of triphenylamine dyes with variable thiophene rings (0–5) and shed light on their electrooptical and charge-injection properties. Computational techniques are used to study the effect of the thiophene moieties on the properties of interest, i.e., how the number of thiophene rings in π-conjugated systems influence the absorption spectra and electron injection of the dyes. The results show that the absorption spectra gradually became broad and red-shifted (384–542 nm) with the number of thiophene units. The effect of thiophene units on the performance of sensitizers in dye-sensitized solar cells is also determined. During theoretical examination, the electron injection efficiency (Φinject) and light harvesting efficiency (LHE) are determined. Results indicate that the selection of appropriate lengths of conjugated bridges in the dye sensitizer is very important in designing high-efficiency dyes.
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