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SMART HOME AUTOMATION TOWARDS THE DEVELOPMENT OF SMART CITIES Alam, Tanweer; Salem, Abdulrahman A.; Alsharif, Ahmad O.; Alhejaili, Abdulaziz M.
APTIKOM Journal on Computer Science and Information Technologies Vol 5 No 1 March (2020): APTIKOM Journal on Computer Science and Information Technologies (CSIT)
Publisher : APTIKOM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/csit.v5i1 March.119

Abstract

Home automation system is a system that controls by the smart device using a mobile application. It can control home appliances such as light, fans, air conditions, and smart security locks, etc. Bluetooth or Wi-Fi technology will be used to control things remotely.  Many people were thinking about that technology is taking a really huge part of our lives. It does! we?re living in a modern generation where smart and intelligent systems are necessary to be there wherever we are to make our lives easier and much better, for example, we can do many things faster, better, and more accurate.
INTERNET OF THINGS: A CLOUD-MANET COMMUNICATION FRAMEWORK Alam, Tanweer
Computer Science and Information Technologies Vol 2, No 2: July 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/csit.v1i2.p%p

Abstract

The Internet of Things (IoT) devices is able to communicate with another IoT devices in heterogeneous environments. They are also able to create a network by their own using wireless capabilities without a centralized approach. This network is called wireless mobile ad hoc network (MANET).  The MANET facilitate IoT devices to communicate with each other in an infrastructure less network of the Internet of Things environment. The IoT devices can dynamically join, create connection and exchange information among them. The role of cloud in this framework is to store and process the data by IoT devices. The communication Security has been raised as one of the most critical issues of cloud computing where resolving such an issue would result in a constant growth in the use and popularity of cloud. Our purpose of this study is to create a framework for providing the communication in an integrated framework of Cloud and MANET among IoT devices. Our main contribution links a new study that integrates cloud computing to the MANET and provides communication to the internet of things. This study can be used in the framework of the Internet of Things in future.
SMART CAMPUS MOBILE APPLICATION TOWARD THE DEVELOPMENT OF SMART CITIES Alam, Tanweer; Alharbi, Yazeed Mohammed; Abusallama, Firas Adel; Hakeem, Ahmad Osama
International Journal of Applied Sciences and Smart Technologies Volume 02, Issue 01, Juni 2020
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/ijasst.v2i1.2376

Abstract

Smart Campus is an android mobile application that has strong features to facilitates students, faculties, admins, parents, and managers. It provides a comprehensive integrated solution to improve the overall performance of the college. The use of mobile applications is increasing day by day. We all use mobile application in a lot of things in our daily life. We came up with an idea of building an application that will help the students and faculty member to accesses the system as fast as possible. In this study, we will discuss the problem and propose a solution to it, as we will talk about the planning phase and its component, requirements the functional and non-functional with its Data Flow Diagram, etc. We also design the interfaces. This mobile application will help the students and faculty members to do the tasks in the minimum time.
The Real-Time Alert System for Prayers at Smart Masjid Alam, Tanweer; Erqsous, Moath
Scientific Journal of Informatics Vol 7, No 2 (2020): November 2020
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v7i2.25356

Abstract

Arrange and monitor people in a crowded environment inside masjid is a critical task. It is necessary to fill rows start from first row behind the Imam. Most counting techniques depend on detecting individuals in order to count their number. Counting and arrangement becomes inefficient when it is required in real-time and when the crowd is dense. I am proposing a technique for monitoring and estimating the density of crowd in real-time using infrared technology. The intelligent systems will be designed based on the number of people section wise. The mosque will be divided into sections and each section will be allocated an Infra-Red Camera. Each section will be programmed to contain limited number of people. There will be an LED display allocated to each section. With the people coming into that section, the display will start becoming less GREEN. In other words, the intensity of the GREEN LED display will become weaker. As the section is completely filled, the display will turn red. This way, people could see the section from quite a distance and can easily decide whether to move forward or not. As soon as the people enter the mosque, they will have an overview of each section and can decide to go to the suitable places to get settled easily into the rows. Our pre-programmed thermal camera will recognize people on the basis of their body temperature. The LED display will go less green as the system receives more thermograms. After reaching the highest level of thermograms received, the LED display will automatically go RED. This would naturally stop people to enter that section.
The Real-Time Alert System for Prayers at Smart Masjid Alam, Tanweer; Erqsous, Moath
Scientific Journal of Informatics Vol 7, No 2 (2020): November 2020
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v7i2.25356

Abstract

Arrange and monitor people in a crowded environment inside masjid is a critical task. It is necessary to fill rows start from first row behind the Imam. Most counting techniques depend on detecting individuals in order to count their number. Counting and arrangement becomes inefficient when it is required in real-time and when the crowd is dense. I am proposing a technique for monitoring and estimating the density of crowd in real-time using infrared technology. The intelligent systems will be designed based on the number of people section wise. The mosque will be divided into sections and each section will be allocated an Infra-Red Camera. Each section will be programmed to contain limited number of people. There will be an LED display allocated to each section. With the people coming into that section, the display will start becoming less GREEN. In other words, the intensity of the GREEN LED display will become weaker. As the section is completely filled, the display will turn red. This way, people could see the section from quite a distance and can easily decide whether to move forward or not. As soon as the people enter the mosque, they will have an overview of each section and can decide to go to the suitable places to get settled easily into the rows. Our pre-programmed thermal camera will recognize people on the basis of their body temperature. The LED display will go less green as the system receives more thermograms. After reaching the highest level of thermograms received, the LED display will automatically go RED. This would naturally stop people to enter that section.
5G-Enabled Tactile Internet for smart cities: vision, recent developments, and challenges Alam, Tanweer
Jurnal Informatika Vol. 13 No. 2 (2019): July 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The Tactile Internet (TI) is an emerging technology next to the Internet of Things (IoT). It is a revolution to develop smart cities, communities, and cultures in the future. This technology will allow the real-time interaction between humans and machines as well as machine-to-machine with the 1ms challenge to achieve in round trip latency. The term TI is defined by the International Telecommunication Union (ITU) in August 2014. The TI provides a fast, reliable, secure and available internet network that is the requirements of the smart cities in 5G. Tactile internet can develop the part of the world where the machines are strong, and humans are weak. It increases the power of machines so that the value of human power will increase automatically. In this framework, we have presented the idea of tactile internet for the next generation of smart cities. This research will provide a high-performance reliable framework for the internet of smart devices to communicate with each other in a real-time (1ms round trip) using IEEE 1918.1 standard. The objective of this research is expected to bring a new dimension in the research of smart cities.
Reviewing the Framework of Blockchain in Fake News Detection Alam, Tanweer; Gupta, Ruchi
JOIN (Jurnal Online Informatika) Vol 9 No 2 (2024)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v9i2.1349

Abstract

In the social media environment, fake news is a significant issue. It might be online or offline, depending on the field of journalism. Concerns have been expressed by media and publishing houses, who are looking for solutions to the problem. One of the solutions the industry has to offer in this area is Blockchain. It could be digital security trading, source or identity verification, or quotes following a certain news piece, photo, or video. It's miles of shared document generation to deliver timely files, and it's done with the help of a specific article, video, or image that has been addressed. This will no longer assist the fact abuser in verifying the details. This will help the fact abuser confirm the details, but it will also offer documentation of metadata generated at all phases. It allows you to cut the expense of disseminating false information by forwarding and explicit disclosure to persons who have first-hand knowledge of the subject. The proposed structure for acquiring fake news is supported by the blockchain age, which allows news organizations to deliver their content to their subscribers transparently. This framework was created for journalists and can be integrated into any current platform to publish a news piece and include asset statistics.
Internet of things: review, architecture and applications Alam, Tanweer
Computer Science and Information Technologies Vol 3, No 1: March 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/csit.v3i1.p31-38

Abstract

Devices linked to the internet of things (IoT) may communicate with one another in several settings. Furthermore, rather of relying on an existing centralized system, users may develop their own network by using wireless capabilities. This kind of network is known as a wireless mobile ad hoc network. The mobile ad-hoc network (MANET) enables IoT devices to connect with one another in an unstructured networked environment. IoT devices may connect, establish linkages, and share data on a continuous basis. In this system, the cloud's purpose is to store and analyze data acquired from IoT devices. One of the most significant challenges in cloud computing has been identified as information security, and its resolution will result in an even bigger increase in cloud computing usage and popularity in the future. Finally, the goal of this project is to create a framework for facilitating communication between IoT devices in a Cloud and MANET context. Our major contribution is a ground-breaking research initiative that combines cloud computing with the MANET and connects the internet of things. This research might be used to the IoT in the future.
Reviewing the Blockchain’s Framework and its Role in Sustainable Industries Ahamed, N. Nasurudeen; Alam, Tanweer; Benaida, Mohamed
JOIN (Jurnal Online Informatika) Vol 10 No 1 (2025)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v10i1.1545

Abstract

Blockchain technology is often regarded as a highly advanced and pioneering breakthrough in modern times. Blockchain technology is a distributed ledger that uses encryption to prevent security breaches and securely stores data across many systems. This facilitates collaborative transactions by providing a solitary, dependable reference point, revealing the purported trust intermediaries. This study aims to investigate the core principles of blockchain technology and assess its potential to support sustainability across various sectors. It seeks to examine how blockchain technology enhances reliability, effectiveness, and transparency in industries such as supply chain management and the energy sector. This study addresses these concerns by assessing the valuable applications, advantages, and drawbacks of blockchain in promoting sustainable industrial practices. Bitcoin and other cryptocurrencies rely on hashing as the foundation of their blockchain technology. Blockchain is a digital ledger that documents and tracks financial transactions. Blockchain technology has become prevalent across several sectors, encompassing artificial intelligence, machine learning, and the Internet of Things. Therefore, once the blockchain is prepared for dissemination, the data cannot be modified by anyone. This implies that it is immutable. Hyperledger offers a neutral platform for facilitating collaborative operations among organisations that frequently engage in competitive activities. Hyperledger is specifically designed to provide explicit support for blockchains as a means of business agreements. Authorisation is a prerequisite for a framework, ensuring that only those with proper authorisation can join the organisation. The ability of the manager to impose limitations on user access to the blockchain enhances security measures. Moreover, instead of being universally accessible through online platforms, trades are maintained secretly, limiting access to only essential participants. Using distributed code bases and open-source record upgrades facilitates enhanced efficiency in corporate activities. The fast expansion of blockchain technology has led to its widespread adoption across several industries worldwide. Illustrations encompass various domains, including logistics, copyright, finance, medicine, and supply chain management. Furthermore, we offer an introductory overview of blockchain technology, encompassing topics such as different types of blockchains and their utilisation across many sectors.
A Hybrid Approch Tomato Diseases Detection At Early Stage Ullah, Arif; khalid, Muhammad Azeem; Sebai, Dorsaf; Alam, Tanweer
Jurnal Informatika Vol. 17 No. 1 (2023): January 2023
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

 In traditional farming practice, skilled people are hired to manually examine the land and detect the presence of diseases through visual inspection, but the visual inspection method is ineffective. High accuracy of disease detection is one of the most important factors in crop production and reducing crop losses. Meanwhile, the evolution of deep convolutional neural networks for image classification has rapidly improved the accuracy of object detection, classification and system recognition. Previous tomato detection methods based on faster region convolutional neural network (RCNN) are less efficient in terms of accuracy. Researchers have used many methods to detect tomato leaf diseases, but their accuracy is not optimal. This study presents a Faster RCNN-based deep learning model for the detection of three tomato leaf diseases (late blight, mosaic virus, and leaf septoria). The methodology presented in this paper consists of four main steps. The first step is pre-processing. At the second stage, segmentation was done using fuzzy C Means. In the third step, feature extraction was performed with ResNet 50. In the fourth step, classification was performed with Faster RCNN to detect tomato leaf diseases. Two evaluation parameters precision and accuracy are used to compare the proposed model with other existing approaches. The proposed model has the highest accuracy of 98.6% in detecting tomato leaf diseases. In addition, the work can be extended to train the model for other types of tomato diseases, such as leaf mold, spider mites, as well as to detect diseases of other crops, such as potatoes, peanuts, etc.