Institution
DHA Suffa University
Education•Karachi, Pakistan•
About: DHA Suffa University is a education organization based out in Karachi, Pakistan. It is known for research contribution in the topics: Wireless sensor network & Network packet. The organization has 117 authors who have published 151 publications receiving 2942 citations.
Topics: Wireless sensor network, Network packet, Population, Computer science, Optimized Link State Routing Protocol
Papers
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University of California, Santa Barbara1, University of Texas at Austin2, University of Wrocław3, Dresden University of Technology4, University of Tartu5, Gulu University6, Middle East University7, Stockholm University8, University of the Punjab9, University of Nigeria, Nsukka10, Istanbul University11, Franklin & Marshall College12, Norwegian University of Science and Technology13, University of Algiers14, Australian National University15, Russian State University for the Humanities16, Russian Academy of Sciences17, İzmir University of Economics18, University of Social Sciences and Humanities19, Université catholique de Louvain20, Ankara University21, Pontifical Catholic University of Peru22, Cumhuriyet University23, University of the Republic24, ISCTE – University Institute of Lisbon25, The Chinese University of Hong Kong26, National Autonomous University of Mexico27, University of Pécs28, University of Constantine the Philosopher29, University of Maribor30, University of Zagreb31, University of Malaya32, Central University of Finance and Economics33, University of Crete34, University of Primorska35, Institute of Molecular and Cell Biology36, University of Amsterdam37, Catholic University of the Sacred Heart38, VU University Amsterdam39, University of Granada40, University of Delhi41, University of Havana42, Pontifical Catholic University of Rio de Janeiro43, University of Vienna44, Universiti Utara Malaysia45, Vilnius University46, University of British Columbia47, University of Sussex48, Romanian Academy49, Slovak Academy of Sciences50, Comenius University in Bratislava51, University of Monterrey52, SAS Institute53, DHA Suffa University54, Pontifical Catholic University of Chile55, South-West University "Neofit Rilski"56, University of São Paulo57, Kyung Hee University58, University of Ljubljana59
TL;DR: This work combines this large cross-cultural sample with agent-based models to compare eight hypothesized models of human mating markets and finds that this cross-culturally universal pattern of mate choice is most consistent with a Euclidean model of mate preference integration.
Abstract: Humans express a wide array of ideal mate preferences. Around the world, people desire romantic partners who are intelligent, healthy, kind, physically attractive, wealthy, and more. In order for these ideal preferences to guide the choice of actual romantic partners, human mating psychology must possess a means to integrate information across these many preference dimensions into summaries of the overall mate value of their potential mates. Here we explore the computational design of this mate preference integration process using a large sample of n = 14,487 people from 45 countries around the world. We combine this large cross-cultural sample with agent-based models to compare eight hypothesized models of human mating markets. Across cultures, people higher in mate value appear to experience greater power of choice on the mating market in that they set higher ideal standards, better fulfill their preferences in choice, and pair with higher mate value partners. Furthermore, we find that this cross-culturally universal pattern of mate choice is most consistent with a Euclidean model of mate preference integration.
1,827 citations
TL;DR: This paper presents the IoT technology from a bird's eye view covering its statistical/architectural trends, use cases, challenges and future prospects, and discusses challenges in the implementation of 5G-IoT due to high data-rates requiring both cloud-based platforms and IoT devices based edge computing.
Abstract: The Internet of Things (IoT)-centric concepts like augmented reality, high-resolution video streaming, self-driven cars, smart environment, e-health care, etc. have a ubiquitous presence now. These applications require higher data-rates, large bandwidth, increased capacity, low latency and high throughput. In light of these emerging concepts, IoT has revolutionized the world by providing seamless connectivity between heterogeneous networks (HetNets). The eventual aim of IoT is to introduce the plug and play technology providing the end-user, ease of operation, remotely access control and configurability. This paper presents the IoT technology from a bird’s eye view covering its statistical/architectural trends, use cases, challenges and future prospects. The paper also presents a detailed and extensive overview of the emerging 5G-IoT scenario. Fifth Generation (5G) cellular networks provide key enabling technologies for ubiquitous deployment of the IoT technology. These include carrier aggregation, multiple-input multiple-output (MIMO), massive-MIMO (M-MIMO), coordinated multipoint processing (CoMP), device-to-device (D2D) communications, centralized radio access network (CRAN), software-defined wireless sensor networking (SD-WSN), network function virtualization (NFV) and cognitive radios (CRs). This paper presents an exhaustive review for these key enabling technologies and also discusses the new emerging use cases of 5G-IoT driven by the advances in artificial intelligence, machine and deep learning, ongoing 5G initiatives, quality of service (QoS) requirements in 5G and its standardization issues. Finally, the paper discusses challenges in the implementation of 5G-IoT due to high data-rates requiring both cloud-based platforms and IoT devices based edge computing.
591 citations
University of California, Santa Barbara1, University of Texas at Austin2, Dresden University of Technology3, University of Wrocław4, Opole University5, University of Tartu6, Gulu University7, Middle East University8, Stockholm University9, University of the Punjab10, University of Nigeria, Nsukka11, Istanbul University12, Franklin & Marshall College13, Norwegian University of Science and Technology14, University of Algiers15, Australian National University16, Russian State University for the Humanities17, Russian Academy of Sciences18, İzmir University of Economics19, University of Social Sciences and Humanities20, Université catholique de Louvain21, Ankara University22, Pontifical Catholic University of Peru23, Cumhuriyet University24, University of the Republic25, ISCTE – University Institute of Lisbon26, The Chinese University of Hong Kong27, National Autonomous University of Mexico28, University of Pécs29, University of Maribor30, University of Zagreb31, University of Malaya32, Central University of Finance and Economics33, University of Crete34, University of Primorska35, University of Amsterdam36, Catholic University of the Sacred Heart37, VU University Amsterdam38, University of Granada39, University of Delhi40, University of Havana41, Pontifical Catholic University of Rio de Janeiro42, University of Vienna43, Universiti Utara Malaysia44, Vilnius University45, University of British Columbia46, Centre national de la recherche scientifique47, Romanian Academy48, Comenius University in Bratislava49, Slovak Academy of Sciences50, University of Monterrey51, DHA Suffa University52, Pontifical Catholic University of Chile53, South-West University "Neofit Rilski"54, University of São Paulo55, Kyung Hee University56, University of Ljubljana57
TL;DR: Using a new 45-country sample (N = 14,399), this work attempted to replicate classic studies and test both the evolutionary and biosocial role perspectives, finding neither pathogen prevalence nor gender equality robustly predicted sex differences or preferences across countries.
Abstract: Considerable research has examined human mate preferences across cultures, finding universal sex differences in preferences for attractiveness and resources as well as sources of systematic cultural variation. Two competing perspectives-an evolutionary psychological perspective and a biosocial role perspective-offer alternative explanations for these findings. However, the original data on which each perspective relies are decades old, and the literature is fraught with conflicting methods, analyses, results, and conclusions. Using a new 45-country sample (N = 14,399), we attempted to replicate classic studies and test both the evolutionary and biosocial role perspectives. Support for universal sex differences in preferences remains robust: Men, more than women, prefer attractive, young mates, and women, more than men, prefer older mates with financial prospects. Cross-culturally, both sexes have mates closer to their own ages as gender equality increases. Beyond age of partner, neither pathogen prevalence nor gender equality robustly predicted sex differences or preferences across countries.
129 citations
TL;DR: An energy harvester is designed, optimized, fabricated, and characterized for energy harvesting and IoT applications which simply recycles radio-frequency energy at 2.4 GHz, from nearby Wi-Fi/WLAN devices and converts them to useful dc power.
Abstract: Traditionally employed human-to-human and human-to-machine communication has recently been replaced by a new trend known as the Internet of things (IoT). IoT enables device-to-device communication without any human intervention, hence, offers many challenges. In this paradigm, machine’s self-sustainability due to limited energy capabilities presents a great challenge. Therefore, this paper proposed a low-cost energy harvesting device using rectenna to mitigate the problem in the areas where battery constraint issues arise. So, an energy harvester is designed, optimized, fabricated, and characterized for energy harvesting and IoT applications which simply recycles radio-frequency (RF) energy at 2.4 GHz, from nearby Wi-Fi/WLAN devices and converts them to useful dc power. The physical model comprises of antenna, filters, rectifier, and so on. A rectangular patch antenna is designed and optimized to resonate at 2.4 GHz using the well-known transmission-line model while the band-pass and low-pass filters are designed using lumped components. Schottky diode (HSMS-2820) is used for rectification. The circuit is designed and fabricated using the low-cost FR4 substrate ( ${h}$ = 16 mm and $\varepsilon _{r} = 4.6$ ) having the fabricated dimensions of 285 mm $\times \,\,90$ mm. Universal software radio peripheral and GNU Radio are employed to measure the received RF power, while similar measurements are carried out using R&S spectrum analyzer for validation. The received measured power is −64.4 dBm at the output port of the rectenna circuit. Hence, our design enables a pervasive deployment of self-operable next-generation IoT devices.
81 citations
TL;DR: Quality assessment using both quantitative evaluations and user studies suggests that the presented algorithm produces tone-mapped images that are visually pleasant and preserve details of the original image better than the existing methods.
Abstract: High-dynamic-range (HDR) images require tone mapping to be displayed properly on lower dynamic range devices. In this paper, a tone-mapping algorithm that uses histogram of luminance to construct a lookup table (LUT) for tone mapping is presented. Characteristics of the human visual system (HVS) are used to give more importance to visually distinguishable intensities while constructing the histogram bins. The method begins with constructing a histogram of the luminance channel, using bins that are perceived to be uniformly spaced by the HVS. Next, a refinement step is used, which removes the pixels from the bins that are indistinguishable by the HVS. Finally, the available display levels are distributed among the bins proportionate to the pixels counts thus giving due consideration to the visual contribution of each bin in the image. Quality assessment using both quantitative evaluations and user studies suggests that the presented algorithm produces tone-mapped images that are visually pleasant and preserve details of the original image better than the existing methods. Finally, implementation details of the algorithm on GPU for parallel processing are presented, which could achieve a significant gain in speed over CPU-based implementation.
73 citations
Authors
Showing all 117 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Haider Ali | 18 | 105 | 1069 |
| Muhammad Kashif Khan | 16 | 57 | 705 |
| Zubair A. Shaikh | 15 | 73 | 1076 |
| Naeem Akhtar | 15 | 78 | 665 |
| Munawar Hussain | 14 | 52 | 526 |
| Asim Imdad Wagan | 12 | 37 | 464 |
| Furqan Tahir | 11 | 47 | 363 |
| Muhammad Shoaib Siddiqui | 10 | 41 | 425 |
| M. U. Siddiqui | 10 | 19 | 367 |
| Sameer Qazi | 9 | 39 | 370 |
| Athar Mahboob | 8 | 36 | 194 |
| Muhammad Shahid Khan | 8 | 18 | 167 |
| Adnan Nasir | 7 | 11 | 128 |
| Muhammad Rizwan Tanweer | 7 | 13 | 413 |
| Muhammad Haris Malik | 7 | 10 | 128 |