131 10 3575 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Perumal , Sundresan Date A point or period of time associated with an event in the lifecycle of the resource 2022-05-10 Description An account of the resource In both wireless and mobile ad hoc networks, assaults can come from a variety of different sources. The terms "active attack" and "passive attack" describe these two types of attacks. In the network community, the Sybil attack is one of the most often used and deployed techniques for sniffing identities and repurposing them. Multiple identities or Sybil attacks have recently sparked a lot of interest in the research community. The algorithms and networks on which they are tested are vastly different among the many methods that have been offered. Since researchers can't evaluate these systems side by side or test their efficacy on real-world social networks with a variety of structural features, it's difficult to say whether there are any other (perhaps more efficient) methods of Sybil protection. In the event of a Sybil attack, the gatecrasher subverts the system framework's notoriety arrangement by creating a large number of pseudonymous individuals and then using them to add an enormously imbalanced influence. Three factors determine a notoriety framework's susceptibility to a Sybil attack: how quickly personalities can be generated, how much the notoriety framework accepts inputs from substances that lack a chain of trust, and if the notoriety framework handles all components equally. A large-scale Sybil ambush in Bittorrent Mainline may be accomplished in a cheap and effective manner, according to confirmation. A substance on a distributed system is a piece of software that has access to the resources of the local community. By displaying a character, a distributed system element reveals itself to the world. A single chemical can have an impact on more than one character. Numerous characters can be assigned to a single element. The personalities of substances in shared systems are used for the objectives of repetition, asset transfer, reliability, and trustworthiness, among other reasons. For remote elements to be aware of characters without necessarily being aware of the personality-to-neighborhood correlation, distributed systems make use of the character as a decision. Each different identification is normally considered to be associated with a separate local entity by convention. A single local entity may have several identities in actuality. In order to avoid and identify Sybil assaults, an empirical technique is used in this study. According to the base paper, any nodes with RSS greater than the provided threshold are regarded to be attackers under the present approach. A centralized way to monitor the mobile nodes is required to prevent this assault. As the server agent assumes full control of the ad-hoc network, malevolent nodes or selfish nodes are fully eliminated from the system. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/30213 10.3991/ijim.v16i09.30213 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/30213/11277 Rights Information about rights held in and over the resource Copyright (c) 2022 Haider Th.Salim Alrikabi; Sundresan Perumal https://creativecommons.org/licenses/by/4.0 Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 09 (2022); pp. 217-230 1865-7923 Subject The topic of the resource Network Security, Wireless Network Security, Security in Wireless Environment Title A name given to the resource An Effectual Secured Approach Against Sybil Attacks in Wireless Networks Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Alaidi , Abdul Hadi M. Al_airaji, Roa'a M. Alrikabi, Haider Th.Salim Aljazaery, Ibtisam A. Abbood, Saif Hameed Date A point or period of time associated with an event in the lifecycle of the resource 2022-05-24 Description An account of the resource Dark web is a canopy concept that denotes any kind of illicit activities carried out by anonymous persons or organizations, thereby making it difficult to trace. The illicit content on the dark web is constantly updated and changed. The collection and classification of such illegal activities are challenging tasks, as they are difficult and time-consuming. This problem has in recent times emerged as an issue that requires quick attention from both the industry and academia. To this end, efforts have been made in this article a crawler that is capable of collecting dark web pages, cleaning them, and saving them in a document database, is proposed. The crawler carries out an automatic classification of the gathered web pages into five classes. The classifiers used in classifying the pages include Linear Support Vector Classifier (SVC), Naïve Bayes (NB), and Document Frequency (TF-IDF). The experimental results revealed that an accuracy rate of 92% and 81% were achieved by SVC and NB, respectively. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/30209 10.3991/ijim.v16i10.30209 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/30209/11355 Rights Information about rights held in and over the resource Copyright (c) 2022 Haider Th.Salim Alrikabi, Abdul Hadi M. Alaidi , Roa'a M. Al_airaji, Ibtisam A. Aljazaery, Saif Hameed Abbood https://creativecommons.org/licenses/by/4.0 Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 10 (2022); pp. 122-139 1865-7923 Subject The topic of the resource Linear Support Vector Classifier, dark Web, Naïve Bayes Title A name given to the resource Dark Web Illegal Activities Crawling and Classifying Using Data Mining Techniques Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Maabreh, Majdi Obeidat, Ibrahim Abu Elsoud , Esraa Alnajjar, Asma Alzyoud, Rahaf Darwish, Omar Date A point or period of time associated with an event in the lifecycle of the resource 2022-07-26 Description An account of the resource Cyberattacks have increased in tandem with the exponential expansion of computer networks and network applications throughout the world. In this study, we evaluate and compare four features selection methods, seven classical machine learning algorithms, and the deep learning algorithm on one million random instances of CSE-CIC-IDS2018 big data set for network intrusions. The dataset was preprocessed and cleaned and all learning algorithms were trained on the original values of features. The feature selection methods highlighted the importance of features related to forwarding direction (FWD) and two flow measures (FLOW) in predicting the binary traffic type; benign or attack. Furthermore, the results revealed that whether models are trained on all features or the top 30 features selected by any of the four features selection techniques used in this experiment, there is no significant difference in model performance. Moreover, we may be able to train ML models on only four features and have them perform similarly to models trained on all data,which may result in preferable models in terms of complexity, explainability, and scale for deployment. Furthermore, by choosing four unanimity features instead of all traffic features, training time may be reduced from 10% to 50% of the training time on all features. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/30197 10.3991/ijim.v16i14.30197 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/30197/11765 Rights Information about rights held in and over the resource Copyright (c) 2022 Ibrahim obeidat, Majdi Maabreh, esraa abu elsoud , asma alnajjar, rahaf alzyoud, omar darwish https://creativecommons.org/licenses/by/4.0 Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 14 (2022); pp. 123-135 1865-7923 Subject The topic of the resource Cyberattacks machine learning deep learning ML models Title A name given to the resource Towards Data-Driven Network Intrusion Detection Systems: Features Dimensionality Reduction and Machine Learning Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Pérez-Palomino, Ximena Rosas-Paredes, Karina Esquicha-Tejada, José Date A point or period of time associated with an event in the lifecycle of the resource 2022-05-10 Description An account of the resource The current situation in the region of Arequipa (Peru) is an increase in crime and insecurity; companies that provide private surveillance services have increased the costs of equipment and services online. We propose is to implement a low-cost gas leakage and surveillance system for single-family houses, implemented with Raspberry Pi3, an Arduino board, SIM 900 module, sensors, actuators, and peripherals. The system alerts by sending a text message when an intruder enters the home or when there is a gas leak; it captures the webcam image that is sent to the homeowner's email. For voice command recognition, Wit.ai and Firebase are used for communication between the system and the mobile application. System functionality and usability tests were carried out, allowing us to know user satisfaction. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/30177 10.3991/ijim.v16i09.30177 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/30177/11275 Rights Information about rights held in and over the resource Copyright (c) 2022 Jose Esquicha-Tejada, Ximena Perez-Palomino, Karina Rosas-Paredes https://creativecommons.org/licenses/by/4.0 Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 09 (2022); pp. 206-216 1865-7923 Subject The topic of the resource IoT Surveillance Raspberry Pi SIM 900 module Title A name given to the resource Low-Cost Gas Leak Detection and Surveillance System for Single Family Homes Using Wit.ai, Raspberry Pi and Arduino Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Alnusyan, Ruba Almotairi , Ruba Almufadhi, Sarah A. Al-Shargabi, Amal F. Alshobaili, Jowharah Date A point or period of time associated with an event in the lifecycle of the resource 2022-04-26 Description An account of the resource Nowadays, many people prefer to purchase through online websites. Usually, those people start with reading user reviews and comments before making a purchase decision. The user reviews are considered powerful sources of information about products, in which users share opinions and previous experiences on using these products. However, these reviews are mostly textual and uncategorized. Thus, new customers need to read a massive amount of reviews, one by one, to make a decision. This study attempts to bridge this gap and proposes a hybrid approach of topic modeling that combines supervised and unsupervised learning. In particular, the study collected a massive amount of Amazon user reviews, analyzed the reviews' texts, and combined two approaches of topic modeling, which are unsupervised and supervised learning, i.e., semi-supervised learning. Besides, the study makes classification on reviews based on sentiment analysis. The resulting reviews' topics and their sentiment classifications are displayed on a visual dashboard. The proposed hybrid approach showed better performance in terms of text analysis and clearer representation of review topics. The outcome of this study helps customers make their decision on purchase products in a more effortless and clearer way. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/30169 10.3991/ijim.v16i08.30169 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/30169/11169 Rights Information about rights held in and over the resource Copyright (c) 2022 Ruba Alnusyan https://creativecommons.org/licenses/by/4.0 Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 08 (2022); pp. 79-93 1865-7923 Subject The topic of the resource user reviews sentiment analysis topic modeling visualisation Title A name given to the resource Hybrid Approach for User Reviews' Text Analysis and Visualization: A Case Study of Amazon User Reviews Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Smith , Luren Date A point or period of time associated with an event in the lifecycle of the resource 2022-05-10 Description An account of the resource Corona Virus Disease (COVID) has so far infected millions of individuals, claiming the lives of tens of thousands. Italy and the United States, two major international powers, are particularly hard hit, with millions of people dead per day. For nations like as India, France, Germany and Spain, Corona has wreaked havoc on the global economy. Throughout the globe, this devastation has been inflicted by this catastrophic virus. After the lockdown limitations have been relaxed, it is necessary to guarantee that social distance is practised at the locations since no treatment has been identified thus far. After the lockdown restrictions were relaxed in countries like India, where fewer instances were recorded, the nation saw an increase in cases. Implementation of social distancing systems is the topic of this study, which employs sophisticated libraries to keep track of the distance between people in real time and implement the system. Deploying deep learning and Raspberry Pi, we want to change the system of social distance by using a small number of sensors to acquire real-time data. Corona Virus Disease (COVID) has so far infected millions of individuals, claiming the lives of tens of thousands. Italy and the United States, two major international powers, are particularly hard hit, with millions of people dead per day. For nations like India, France, Germany, and Spain, Corona has wreaked havoc on the global economy. Throughout the globe, this devastation has been inflicted by this catastrophic virus. After the lockdown limitations have been relaxed, it is necessary to guarantee that social distance is practiced at the locations since no treatment has been identified thus far. After the lockdown restrictions were relaxed in countries like India, where fewer instances were recorded, the nation saw an increase in cases. Implementation of social distancing systems is the topic of this study, which employs sophisticated libraries to keep track of the distance between people in real-time and implement the system. Deploying deep learning and Raspberry Pi, we want to change the system of social distance by using a small number of sensors to acquire real-time data. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/30161 10.3991/ijim.v16i09.30161 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/30161/11253 Rights Information about rights held in and over the resource Copyright (c) 2022 Luren Smith https://creativecommons.org/licenses/by/4.0 Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 09 (2022); pp. 28-40 1865-7923 Subject The topic of the resource Artificial Intelligence, COVID 19, Social Distancing, Social distance using Deep learning Title A name given to the resource Artificial Intelligence Integrated Social Distancing Analyzer using Deep Neural Nets Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Al_airaji , Roa'a M. Aljazaery, Ibtisam A. Alrikabi, Haider Th.Salim Alaidi, Abdul Hadi M. Date A point or period of time associated with an event in the lifecycle of the resource 2022-04-26 Description An account of the resource A major issue in the field of education is exam malpractice and other forms of academic dishonesty, where efforts made towards the assessment of students are undercut. In order to address this menace, a cheating detection system has been proposed in this study. The system can detect cheating in real-time. The proposed system uses video surveillance to monitor the activities of the student during exams, especially abnormal behavior. The development of the system involved the use of three different techniques, with different functions. The first technique helps in determining the direction of the students’ heads when they move from their initial direction, which is the exam script. Some form of cheating involves students peeping at the exam scripts of other people writing the same exam. Whenever the system observes a deviation that exceeds the set threshold, it classifies the behavior as abnormal. The second technique works with the movement of the student’s iris. It detects when a student’s iris moves in a different direction to copy answers from written documents like mobile phones, books, hands, summary papers. The third technique is used in identifying the contact between a student’s hands and face, as well as that between different students for shared abnormal behavior detection between students, such as sharing of incriminating materials. When any of these is detected, an automatic alarm alerts the authority about the abnormal behavior that has been detected, thereby minimizing the error rate that can occur as a result of manual monitoring. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/30157 10.3991/ijim.v16i08.30157 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/30157/11175 Rights Information about rights held in and over the resource Copyright (c) 2022 Haider Th.Salim Alrikabi, Roa'a M. Al_airaji , Ibtisam A. Aljazaery, Abdul Hadi M. Alaidi https://creativecommons.org/licenses/by/4.0 Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 08 (2022); pp. 124-137 1865-7923 Subject The topic of the resource Surveillance videos, videos analysis, behaviors recognition, anomaly detection, neural networks. Title A name given to the resource Automated Cheating Detection based on Video Surveillance in the Examination Classes Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Ross, Florian Wohllebe, Atilla Diez, Erik Date A point or period of time associated with an event in the lifecycle of the resource 2022-06-21 Description An account of the resource The arrival of new technologies in Hearing Healthcare is evident. The ability to connect hearing aids to smartphones via Bluetooth has opened up a host of new possibilities. By using an associated app, it is possible, among other things, to make an appointment with the Hearing Care Professional remotely. This function is nothing other than a further development of the classic Tele- Audiology. However, since the user base is mostly older, the question arises about the importance of the personal assistant in the clinic in setting up and explaining the technology for successful use. For this reason, a study was conducted among 110 patients who had already received such a form of intervention. For this purpose, the existing Technology Acceptance Model was further developed to include the latent variable of personal assistance. Existing basic hypotheses from other areas of application were confirmed and an additional relevant variable was identified. It could be concluded that due to a further shift of the patient generation towards baby boomers, the need for personal assistance might decrease. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/30133 10.3991/ijim.v16i12.30133 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/30133/11527 Rights Information about rights held in and over the resource Copyright (c) 2022 Florian Ross, Atilla Wohllebe, Dr. Erik Diez https://creativecommons.org/licenses/by/4.0 Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 12 (2022); pp. 18-31 1865-7923 Subject The topic of the resource Hearing Healthcare Tele-Audiology Technology Acceptance Model Mobile Health Title A name given to the resource The Role of Personal Assistance in the Uptake of Smartphone-Based Tele-Audiology—An Extension of the Technology Acceptance Model Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Ehsan, Esra Ngah, Razali Binti Daud , Nurul Ashikin Date A point or period of time associated with an event in the lifecycle of the resource 2022-05-24 Description An account of the resource This document Designing system with Free-space optical (FSO) communication can supply high-speed digital data linkages to rural regions where geography, setup costs, and groundwork safety are major obstacles. Transmission impairments and space loss could be considered major challenges for handling the FSO system. This work has been designed and analyzed a system based on the combination of Dual Polarization Differential Quadrature Phase Shift Keying (DP-DQPSK) and Dense Wavelength Division Multiplexing (DWDM) using the Direct Detection (DD) technique. The proposed system has been utilized with a hybrid transmission medium of Single-Mode Fiber (SMF) with a fixed length of 60 km and FSO with varied lengths of (5, 7, and 9) km. The system was designed with Optisystem software 18 and consist of 64 channels and 14 Gbps of data rate per channel to make the system 5G communication compatible, 3.5 GHz RF electrical signals have been used to modulate the optical carrier. The channels 1,6,12, …,64 were selected as samples among all channels to be investigated and analyzed along with four different atmospheric weather conditions. Additionally, the proposed system is designed to investigate based on different weather attenuation that affected the parameters of Quality Factor (QF) and Bit Error Rate (BER). The significant advantage of the proposed system by using the DD technique, is no reference wave required. Hence, make the system become less complex and possible to be implemented and tested via different weather conditions. Results obtained indicate reverse relation between the QF and both the FSO distance and attenuation. While, BER based parameters showed a direct relation. For light air and haze, the results showed that the system have higher reliability for all the three investigated FSO distances.  For the medium haze, the system has shown capability to transfer as far as 7 km. And for the rain condition, the system capability was set to 5 km. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/30127 10.3991/ijim.v16i10.30127 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/30127/11367 Rights Information about rights held in and over the resource Copyright (c) 2022 Haider Th.Salim Alrikabi; Esra Ehsan, Razali Ngah, Nurul Ashikin Binti Daud https://creativecommons.org/licenses/by/4.0 Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 10 (2022); pp. 223-243 1865-7923 Subject The topic of the resource FSO, SMF, Radio over Fiber, WDM, 5G. Title A name given to the resource Design and Implementation of Hybrid Medium DP-DQPSK DWDM ROF Transmission System for Different Weather Conditions Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Mohamed Hadi Habaebi N.F.A Jamal Md. Rafiqul Islam Ahmed Basahel Date A point or period of time associated with an event in the lifecycle of the resource 2022-06-21 Description An account of the resource Free Space Optical (FSO) has a very good potential alternative solution to Radio Frequency (RF) to provide high terrestrial wireless communication. In tropical region, the only drawback of FSO is atmospheric attenuation due to mainly haze and rain. This study investigates the performance of FSO system over link distances that ranges between 9 km to 12 km as the average visibility in Kuala Lumpur, Malaysia is 10 km. Two models used to predict the atmospheric attenuation, namely Kruse model and modified Kruse model. These models are valid to predict the haze attenuation for visibilities that range between 9 to 12 km. The modified/corrected Kruse model shows some limitations in the prediction of haze attenuation over longer wavelength. However, the study indicates that attenuation due to haze is low, while air quality in Kuala Lumpur, Malaysia is acceptable. As the size of haze particles varies from 0.01 to 1 µm, the longer wavelength is preferable as 1550 nm to enhance FSO performance compared to 850 nm and 600 nm wavelengths. Thus, the longer wavelength is the optimal choice to enhance the FSO performance as it caused low scattering. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/30119 10.3991/ijim.v16i12.30119 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/30119/11535 Rights Information about rights held in and over the resource Copyright (c) 2022 Mohamed Hadi Hababi, N.F.A Jamal, Md. Rafiqul Islam , Ahmed Basahel https://creativecommons.org/licenses/by/4.0 Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 12 (2022); pp. 94-102 1865-7923 Subject The topic of the resource FSO; FSO Link budget; Haze attenuation; visibility Title A name given to the resource Tropical Terrestrial Free Space Optical Link Performance Analysis Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article