Fast Internet Research Articles

Deep learning-based image encryption techniques: Fundamentals, current trends, challenges and future directions

In recent years, the number of digital images has grown exponentially because of the widespread use of fast internet and smart devices. The integrity authentication of these images is a major concern for the research community. So, the encryption schemes that are commonly used to protect these images are an important subject for many potential applications. This paper presents a comprehensive survey of recent image encryption techniques using deep learning models. First, we explain the reasons that image encryption using deep learning models is beneficial to researchers and the public. Second, we discuss various state-of-art encryption techniques using deep learning models and offer technical summaries of popular techniques. Third, we provide a comparative analysis of our survey and existing state-of-the-art surveys. Finally, by investigating existing deep learning-based encryption, we identify several important research challenges and possible solutions including standard security metrics. To the best of our knowledge, we are the first researchers to do a detailed survey of deep learning-based image encryption for digital images.

Analysis of Public Interest in Smartfren SIM Cards using the K-Nearest Neighbors Method

The use of Smartfren SIM cards is increasing along with the public's need for fast and stable internet services. However, a deep understanding of public interest in the SIM card is necessary to optimize marketing strategies and increase sales. Proper analysis can help companies identify potential target markets and develop effective marketing strategies. We chose the K-Nearest Neighbors method to analyze public interest in using Smartfren SIM cards. This study aims to develop and evaluate the K-Nearest Neighbors model in predicting public interest in using Smartfren SIM cards. This study uses a dataset containing information about Smartfren SIM card users. We divide the data into two sets: a training set for model building and a test set for evaluating model performance. We apply the K-Nearest Neighbors method to classify the data into two categories: interested and not interested. We evaluate the model performance using accuracy, precision, recall, and F1-score metrics. We present the evaluation results as a confusion matrix. The developed K-Nearest Neighbors model showed excellent performance with an accuracy of 94.29%, a precision of 94.20%, a recall of 100%, and an F1-score of 97.01%. These results indicate that the K-Nearest Neighbors model is effective in predicting people's interest in Smartfren SIM cards. The high recall value indicates that the model is able to identify all interested individuals without missing any, while the high precision value indicates that the model rarely makes false positive prediction errors. This study concludes that the K-Nearest Neighbors method is very effective for use in analyzing people's interest in using Smartfren SIM cards. We can rely on the developed model's strong performance for real-world applications in marketing strategies.

Analysis Of Public Interest In Smartfren SIM Cards Using The K-Nearest Neighbors Method

The use of Smartfren SIM cards is increasing along with the public's need for fast and stable internet services. However, a deep understanding of public interest in the SIM card is necessary to optimize marketing strategies and increase sales. Proper analysis can help companies identify potential target markets and develop effective marketing strategies. We chose the K-Nearest Neighbors method to analyze public interest in using Smartfren SIM cards. This study aims to develop and evaluate the K-Nearest Neighbors model in predicting public interest in using Smartfren SIM cards. This study uses a dataset containing information about Smartfren SIM card users. We divide the data into two sets: a training set for model building and a test set for evaluating model performance. We apply the K-Nearest Neighbors method to classify the data into two categories: interested and not interested. We evaluate the model performance using accuracy, precision, recall, and F1-score metrics. We present the evaluation results as a confusion matrix. The developed K-Nearest Neighbors model showed excellent performance with an accuracy of 94.29%, a precision of 94.20%, a recall of 100%, and an F1-score of 97.01%. These results indicate that the K-Nearest Neighbors model is effective in predicting people's interest in Smartfren SIM cards. The high recall value indicates that the model is able to identify all interested individuals without missing any, while the high precision value indicates that the model rarely makes false positive prediction errors. This study concludes that the K-Nearest Neighbors method is very effective for use in analyzing people's interest in using Smartfren SIM cards. We can rely on the developed model's strong performance for real-world applications in marketing strategies.

Pemanfaatan Humas Siber pada Akun Instagram Band Musik Dangdut Guyon Waton

This research aims to find out how the band Guyon Waton's cyber public relations is used on Instagram. This research uses a qualitative method with a descriptive approach which uses the concept of Puspitasari and Purwani theory which is generally carried out through the use of Cyber Public Relations namely, Constant Internet Communication, Fast Internet Response, Internet Global Market, Interactive, Two-way Communication, and Economical . The results of this research show that the use of cyber public relations on Instagram by the Guyon Waton band is quite good in several ways based on analysis, namely, constant internet communication, fast internet response, global internet market, interactive, two-way communication, and economical. Guyon Waton has a characteristic of uploading funny content and follower content to keep his followers connected and active. The conclusion is that Guyon Waton uses Instagram as a medium for publicizing band activities. In its use, Guyon Waton carries out communication in a unique way, namely replying to DM messages which are then uploaded to Instagram stories. Apart from that, another unique way is to upload funny memes and some viral content to bring to life the meaning of Guyon Waton itself, namely outrageous jokes. In this unique way, Guyon Waton has so many fans that it has earned the title of band with the most followers in Indonesia at 1.5 million followers.

Moving from cash to cashless economy: Factors affecting digitalization in Nepal

This study examines the factors affecting digitalization in Nepal. A cashless economy is a dependable variable. The selected independent variables are digital payments medium, technology, internet, cybercrime, and security. The primary source of data is used to assess the opinions of the respondents regarding different factors affecting digitalization in Nepal. The study is based on primary data gathered from 121 respondents all over Nepal. To achieve the purpose of the study, a structured questionnaire is prepared. The correlation coefficients and regression models are estimated to test the significance and importance of digitalization in the Nepalese economy. The study showed that digital payments medium has a positive impact on the cashless economy. It indicates that an increase in digital payments medium leads toward a cashless economy. Likewise, the result also showed that technology has a positive impact on a cashless economy. It indicates that technological advancement leads toward a cashless economy. The result also revealed that the internet has a positive impact on a cashless economy. It indicates that the fast and secure internet leads towards a cashless economy. Likewise, the study showed that cybercrime has a negative impact on a cashless economy. It indicates that a decrease in cybercrime leads towards a cashless economy. Further, the study showed that security has a positive impact on a cashless economy. It indicates that highly secured network leads toward a cashless economy.

Willingness to pay for internet speed and quality

This paper adds to a growing literature on the willingness to pay (WTP) for internet services. We surveyed 5,200 respondents across four demographically diverse United States (US) states, and developed a curve-fitting WTP estimation technique that builds on existing conjoint analysis models. We find that users are willing to pay an extra $1.13 per month for a 1 megabits per second (Mbps) faster internet and $45.52 per month for better connection quality. We document a strong non-linearity: a given speed increment generates the most value for users with the slowest internet but confers negligible value on users with the fastest internet. Specifically, improving speed from 1 Mbps to 25 Mbps creates 2.32 times more value than improving from 25 Mbps to 100 Mbps. A similar non-linearity arises in terms of internet quality. We report large WTP discrepancies by income levels and employment status. The results corroborate that internet subsidies are most impactful if they first assist users with the poorest internet access. In this sense, subsidizing the right population could be as important as – if not more important than – raising funds to subsidize internet access.

Eksplorasi Pemetaan Pelanggan dan Prioritas Pengembangan Jaringan Internet : Pendekatan Sistem Informasi Geografis Berbasis Web dan AHP

ArsyaNet, a local internet service provider, strives to deliver fast and reliable internet access to its customers. This study aims to implement a web-based Geographic Information System (GIS) for customer mapping and network development prioritization using the Analytic Hierarchy Process (AHP) method at ArsyaNet. Leaflet is employed to map the distribution of ArsyaNet customers within the RT/RW network in the Pringgasela District. The main objective of this research is to accurately and efficiently map the distribution of internet customers to support optimal network development. By integrating AHP into the GIS, customer preferences and other relevant factors such as access speed, service quality, and infrastructure needs in specific areas will be considered in determining the priority locations for network development. The AHP method allows for the grouping of customers based on their preferences and determining locations by considering weights on each relevant aspect. Integrating Leaflet into the GIS enables accurate and interactive mapping results using a lighter map compared to the Google Maps API. This research is conducted to enhance the quality of internet services provided by ArsyaNet by better understanding the needs and preferences of customers in selecting internet service providers and their customer distribution.

Jet engines, wind turbines, and AI: community reactions to new sounds

When jet engine-powered commercial aircraft started flying in and out of airports in the mid-20th century, surrounding communities-often in rural areas-were exposed to unprecedented sound levels. A straight line can be drawn from the reactions of those communities to today's Federal Aviation Administration (FAA) airport acoustical requirements. Community reactions to utility-scale wind energy facilities in the late 20th and early 21st centuries led to a bevy of local legislation around the United States, some of which has been insightful and helpful. More recently, society's ever-increasing demand for bits and bytes is introducing suburban areas to data centers-campuses of multi-story buildings requiring access to high volumes of cool air, fast Internet connections, and megawatts of electricity. Community reactions to the resulting environmental sound levels are again driving regulation and legislation. In all these cases, community reactions have driven the narrative. Instead of responding to community reactions, the noise control engineering community and their clients could be more proactive-the professionals could lead the narrative. Ideas about how to achieve this level of proactivity are discussed.

Wireless Local Area Network and Analytical Hierarchy Process: Technology Acceptance Model for Increasing Use of Online Learning

Online learning is currently very much needed for the development of science in schools, the covid 19 outbreak has made changes to learning methods. The change in the learning model must also be supported by supporting learning devices and media, including computer networks and the internet in schools, the network that is used to support online learning is currently widely used by schools using WLAN, because it can reach parts of the hard one. The use of WLAN learning devices and media as a support for online learning can be an obstacle for some teachers and students, this is because not all teachers and students can understand the online learning system and not all areas have a fast internet access network, with these constraints in need a technology acceptance measurement model (TAM) for online learning using WLAN, so that online learning can be carried out properly and the achievement of successful learning can be carried out.

The behavioral, economic, and political impact of the Internet and social media: Empirical challenges and approaches

AbstractThis paper presents a review of empirical methods used to assess the behavioral, economic, and political outcomes of Internet and social media usage. Instead of merely surveying the various impacts of the Internet, we examine the methods adopted to identify these impacts. We describe two main approaches for establishing causal effects, each with strengths and limitations. The first approach involves searching for exogenous sources of variation in the access to fast Internet or specific content. The second approach takes the form of field or laboratory experiments. In this paper, we focus on the first approach, delving into the methodological threats, empirical design, and main findings of the most prominent studies that exploit natural or quasi‐experiments for identifying the causal impact of high‐speed Internet or specific social media. This undertaking allows us to highlight the key empirical challenges in the field of Internet and social media economics while summarizing the causal relationships that the literature has uncovered so far.

A Comparison of the Financial Performance of Telecommunication Companies Listed on the Jakarta Islamic Index Before and Amidst the Covid-19 Pandemic

Ever since the emergence of the Covid-19 virus in Wuhan, China in 2019, individuals have been compelled to carry out a majority of their activities from the comfort of their homes. This shift, coupled with the implementation of large-scale social restrictions (PSBB) later replaced by restrictions on community activities (PPKM), has resulted in a substantial increase in online community engagements. Consequently, there has been a surge in the demand for fast internet access. This growing necessity is expected to impact the profitability of companies providing internet services, consequently affecting their overall performance. Hence, this study aims to examine the disparity in the financial performance of telecommunication companies listed on the Jakarta Islamic Index ( JII) before and during the COVID-19 pandemic. The sampling technique employed in this research is saturated sampling, where the entire population of telecommunication companies is included, resulting in a sample size of 10 companies for the study. The paired t-test is utilized as the data analysis tool. The findings of this study indicate that there is no significant distinction in the financial performance of telecommunications companies listed on JII before and during the COVID-19 pandemic, as evidenced by measurements of the Current Ratio and Net Profit Margin. Keywords: financial performance, telecommunications companies, Covid-19

Analisis Kualitas Pembangunan Jaringam Fiber To The Home Iconnet Pada Area Cluster Padang Barat

Fiber To The Home (FTTH) networks have become an important communications infrastructure that meets the need for fast and reliable internet connectivity in various communities. The aim of this research is to provide a comprehensive analysis of FTTH network development, focusing on the factors that influence the quality of FTTH networks and their impact on society and industry. The research method used, among others, is quantitative by measuring the IN and OUT attenuation parameters at the Optical Distribution Point using an Optical Power Meter measuring instrument. Then the results are compared with the TIPHON/ITU-T Packet Loss standard. The analysis results show that IN and OUT attenuation greatly influences the quality of the FTTH network. The results of the total attenuation analysis on Line A show that the attenuation that has been compared using Packet Loss has a total attenuation difference of 1.11% to 1.37%, on Line B 1.07% to 1.49%, on Line C 1.27% to 1.43%, and on Line D 1.16% to 1.56% the difference obtained during the research can still be said to be quite feasible and good for use by customers. By considering these factors, it is hoped that the construction of an FTTH network can provide maximum benefits for society and industry in supporting economic growth and technological progress.

Electromagnetic Fields (Including Microwaves) Can Lower the Immune Response and Even Change The DNA

This article was written to draw attention to the experimentally found facts that external electromagnetic fields (like microwaves) can not only lower the immune response; it can even change the type of species. This is possible because beside the material body, we have biofield - weak electromagnetic field seen as aura. My lifelong studies of the biofield (aura) found that it is weak Nonlinear Electromagnetic Field (NEMF), which we can expect to be sensitive to external electromagnetic fields with wide range of frequencies, including microwaves. The Chinese scientist Dr. Kanchen found experimentally in 1961 in China that microwaves with frequency 11 GHz change the type of species. This article is a serious warning that the new microwave technologies (used in our fast internet, cellular phones and TV) when shifting to higher and higher frequencies for faster and faster internet will reach the frequency 11 GHz, which will change our DNA, turning us to a different type of species. Unfortunately, in the US we developed these technologies without studding their effect on humans. For that reason, in the US we don’t have any regulations about what should be the maximally allowed safe intensity and frequency of the fields used in these technologies (we have regulations only for ionization radiation). We need to correct this as soon as possible.

Engaging human-centered design to maintain part manufacturing under reduced workforce restrictions

A central element of industrial production is the manufacturing of finished parts from raw material. Even in highly automated environments, processes like milling still rely on human intervention. On-site human operators play a crucial role in ensuring the continuous operation and quality of parts through tasks such as setup and maintenance. This reliance on human involvement makes part manufacturing vulnerable to workforce reductions, whether due to unforeseen circumstances like pandemics or staff shortages. However, new modes of telework collaboration based on interactive systems that comprise visualization and communication technologies, collaborative robots, fast internet, and remote control of machine tools bear potential to overcome these challenges. In consequence, a conceptual framework is proposed that investigates how such modes and systems need to be designed to share the respective tasks between teleworking and on-site employees. As the interactions and systems show a high complexity and since reduced workforce situations often occur suddenly, a high degree of usability must be ensured to enable quick ramp-up and reliable operation. Therefore, an interdisciplinary approach between manufacturing engineering, ergonomics/human factors and human–computer interaction investigates how the concept of human-centered design (HCD) needs to be adapted to ensure this usability. While the initial study focuses on how to integrate human workers in the design of such a system, it also highlights the need to examine different collaboration modes and application scenarios.

Energy optimized artificial hummingbird algorithm for routing in IoT‐based software‐defined WSN

SummaryThe Internet of Things (IoT) has become widely used in applications such as smart homes, industrial automation, and transportation due to its affordable hardware and fast internet connectivity. However, the increase in IoT‐enabled gadgets, particularly those running on batteries or connected to other sources, is putting strain on the world's energy requirements. Therefore, this study focuses on a green routing solution for battery‐powered IoT‐enabled Software‐defined Wireless Sensor Networks (IoT‐SDWSN). Finding green solutions for IoT‐based networks to address this energy challenge has become crucial. This study focuses on developing a green routing solution for battery‐powered IoT‐SDWSN. Energy efficiency in IoT‐SDWSN is attained by the process of clustering nodes. The network is partitioned into small clusters, and a Control Node (CN) is set up by a Control Server (CS) to transmit the data packets sent by sensor nodes. Choosing a CN in these networks is a critical concern due to the substantial energy consumption involved in delivering data to the CS. This research focuses on the problem of energy‐efficient cluster routing in IoT‐based SD‐WSN. It introduces the Energy‐optimized Artificial Hummingbird Algorithm (EOAHA) as a green routing technique. EOAHA aims to extend the lifespan of IoT‐based SD‐WSNs by intelligently selecting (based on a new fitness function) CNs to distribute the network load and increase its overall longevity. To evaluate the performance of EOAHA, a comparative analysis is conducted against other state‐of‐the‐art algorithms. The results demonstrate that EOAHA outperforms these algorithms by a minimum of 13.5% in terms of network longevity.

The Factors Affecting Electronic Government Procurement (EGP) Implementation in Zambia’s City Councils: A case of the Lusaka City Council

The Lusaka city council was used as a case in the research to identify the factors that hinder or facilitate the successful implementation of E-GP. A non-probability sampling technique, namely purposive sampling, was used, using a sample of 80 personnel and suppliers of the Lusaka city council. The research used a quantitative and qualitative approach with a descriptive research design. Data was gathered via a questionnaire and interview, and descriptive and inferential statistics were used to assess it. The results show that the benefits were confirmed by both the suppliers and the end users. They all stated that E-GP has reduced the time and cost of doing business for both bidders and procurement entities (PEs). It has also allowed equal opportunity to all bidders because it involves the free download of bidding documents, and bidders are only charged at bid submission. In the past, there was too much corruption, but the automation of the publication of tenders and contract awards has led to greater transparency in the procurement system. The results also show that personnel working in departments related to E-GP are not receiving the required support from superiors in using the e-government procurement system. The study further indicates there is limited reliable, affordable, and fast internet, which in turn is affecting e-government procurement at Lusaka City Council. Implementing e-procurement is faced with the most prominent challenge of poor internet at the institution. This study recommends, among other things, enhancement of the system and improvement of organizational culture to allow others to be part of the process. In addition, LCC should invest heavily in the system if they want to reap the benefits of its existence in the future.

Infrastructure and Structural Change in Africa

Abstract Past investments in electricity, Internet, and road infrastructure, in isolation and bundled, have contributed to structural transformation and economic development in Africa. Using new data on the expansion of the road, electricity, and Internet networks over the past two decades, the paper shows that having access to both paved roads and electricity has led to a significant reallocation of labor from agricultural to both manufacturing and services. Adding access to fast Internet has had a major impact on structural change, with an even larger impact on reallocating labor away from agriculture. The paper then uses a spatial general-equilibrium model to quantify the impacts of future regional transport investments, bundled with electricity and Internet investments, on economic development in countries in the Horn of Africa and Lake Chad region.

Digital tendencies in public libraries in Balochistan, Pakistan: issues and challenges

PurposeIn the digital age, public libraries are facing numerous challenges, and the Balochistan public libraries are no exception. This study aimed to identify current digital trends adopted by the public libraries in Balochistan and to find out about challenges and potential solutions regarding digital trends from library users.Design/methodology/approachA quantitative study was carried out and data were collected through the survey method, employing a structured questionnaire. The target population consisted of 17,953 users of 17 public libraries in Balochistan. A sample of 510 users both male and female was selected by using random sampling technique from the target population.FindingsThe analysis revealed that patrons of public libraries are dissatisfied with the services offered, as they now require access to new digital trends such as fast Internet, download facilities, unlimited content on numerous resources, Wi-Fi, online reference services, universal accessibility and user-friendly interfaces. Unfortunately, public libraries in Balochistan are still lagging in terms of development. The study recommended that public libraries in Balochistan should develop and implement digital services, increase access to digital resources, hire professional librarians, professional development and collaborate with other libraries.Originality/valueThe study’s findings can assist in improving public library services and granting patrons access to current information and resources in Balochisthan and other developing countries. This study’s originality stems from its use of a quantitative survey approach to gather data from 17 public libraries in Balochisthan and provide a comprehensive view of the digital challenges they face. The study’s focus on digital tendencies is relevant in today’s world, where technology is rapidly changing the way, we access and consume information.

Comparative Analysis of PCC and ECMP Methods in Load Balancing Using GNS3 Simulator

Judging from daily activities, human beings heavily rely on the internet for communication purposes. and exchange information using either social media applications or browsers, vonsistently fast internet speeds are incredibly beneficial for performing tasks and activities, particularly for students and professionals. A sluggish internet connection can be frustrating and may lead to interruptions in online activities and tasks if it persists. Hence, this study examines a comparative evaluation of two approaches, Per Connection Classifier (PCC) and Equal Cost Multi-Path (ECMP) in Load Balancing through GNS3 simulation. Load balancing, as a method for evenly distributing traffic loads, and failover, as a backup mechanism when the main connection experiences problems. GNS3 is a graphical network simulator program that can transmit more complex network topologies compared to other simulators, for example Cisco Packet Tracer. The primary aim of this study is to comprehend how efficiently both techniques distribute traffic loads, maintaining smooth internet access, and increasing reliability. The PCC method produces better throughput, delay and jitter compared to the ECMP method, even though it has slightly different values for each QoS parameter. In testing traffic distribution, the PCC method outperforms the ECMP method. The PCC method can distribute traffic evenly across both ISP lines when downloading and uploading data packets. Meanwhile, the ECMP method can only carry out download and upload activities on one traffic path.

‘Even a piece of paper has two sides’: multi‐scalar cosmologies of Japanese New Year cards

AbstractAnnually on 1 January, Japan's efficient postal system circulates 2.5 billion New Year cards to arrive simultaneously in every home in the country. Based on ethnographic fieldwork around Osaka, this article investigates the continued popularity of this exchange of paper forms in an age of smartphones and fast internet connections. Extending recent anthropological scholarship about digital data, I argue that these seemingly trivial cards have transformative potential. They are active, potent participants in the cultivation, accumulation, and ongoing care of multiple networks of social, economic, and spiritual relationships. Through an analysis of the material and aesthetic qualities of the cards, I highlight how their front‐back design embodies co‐existing, but contrasting, dimensions of Japanese relations along a qualification‐quantification and personalization‐standardization axis. The cards also produce depth and scale by linking intimate, domestic concerns with larger political and economic interests, while weaving together multiple temporal dimensions. Ultimately, they exemplify how the manipulation of surfaces can have profound cosmological consequences. These cards possess a spiritual and social potency that generates an all‐encompassing, intimate closeness that yearly rejuvenates society by reconstituting individuals as part of the whole.