75 research outputs found
Nilai-nilai Pendidikan Islam Wasathiyah Dalam Al-quir’an Surah Al-baqarah Ayat 143 Menurut Muhammad Quraish Shihab
No full textWasathiyah is a middle position that makes people impartial to the left and right, thing that can lead humans to be fair. Misunderstandings about Islam greatly increased in this era of globalization. This mistake in understanding Islam caused the Islamic ummah to be extreme left and extreme right. In the field of education there are many over-attitude problems that adversely affect the teacher and his students, such as the teacher joking excessively with his students, jokingly triggering the teacher to react and kick each other, the parents rage to the new student admission committee because they protested asking for justice for the acceptance of new students. Events like this are things that must be resolved, especially for the world of Islamic education so that errors in understanding Islam can be anticipated and understood by all generations of Indonesian Muslims. So the authors are interested in raising the title of the study of the values of Islamic wasathiyah education in the qur'an surah al-baqarah verse 143 according to Muhammad Quraish Shihab. The author describe what are the values of Islamic wasathiyah education according to Muhammad Quraish Shihab. The purpose of this study is to find out how the values of wasathiyah Islamic education according to Muhammad Quraish Shihab. The type of research is library research. Data analysis techniques in this study, namely: data reduction, data model, drawing conclusions, values of Islamic wasathiyah education in surah al-baqarah verse 143 according to Muhammad Quraish Shihab is behaving tawassuth (seeking middle ground), tawazun (balanced), exemplary and fair
Network-assisted Unmanned Aerial Vehicle Communication for Smart Monitoring of Lock-down
No full textThe increase of COVID-19 pandemic, commonly called as coronavirus, has caused serious problems in the society leading to deaths of many people, affecting businesses, jobs and education all over the globe. To reduce the spread of virus social distancing, avoiding group gathering and physical contact are the potential solutions. In this chapter, we exploit the benefits of UAVs deployed as Aerial Base Stations or relays for terrestrial communication, for crowd surveillance and monitoring as the key aspect to enable social distancing restrictions
Network‐Assisted Unmanned Aerial Vehicle Communication for Smart Monitoring of Lockdown
No full textThe spread of the COVID-19 pandemic, commonly called coronavirus, has caused serious problems in society leading to the deaths of many people, affecting businesses, jobs, and education all over the globe. Social distancing, and avoiding group gathering and physical contact are the potential solutions to reduce the spread of the virus. In this chapter, we exploit the benefits of unmanned aerial vehicles (UAVs) deployed as aerial base stations (ABSs) or relays for terrestrial communication, crowd surveillance, and monitoring as the key aspect to enable social distancing restrictions
Analytical Approach to Base Station Sleep Mode Power Consumption and Sleep Depth
No full textIn this paper, we present an analytical framework to model the sleep mode power consumption of a base station (BS) as a function of its sleep depth. The sleep depth is made up of the BS deactivation latency, actual sleep period and activation latency. Numerical results demonstrate a close match between our proposed approach and the actual sleep mode power consumption for selected BS types. As an application of our proposed approach, we analyze the optimal sleep depth of a BS, taking into consideration the increased power consumption during BS activation, which exceeds its no-load power consumption. We also consider the power consumed during BS deactivation, which also exceeds the power consumed when the actual sleep level is attained. From the results, we can observe that the average total power consumption of a BS monotonically decreases with the sleep depth as long as the ratio between the actual sleep period and the transition latency (deactivation plus reactivation latency) exceeds a certain threshold
Conditional co-authors network analysis
No full textExtract a co-author network of a researcher from the above network who have published COVID-19 papers.</pre
Cell Coverage Analysis of a Low Altitude Aerial Base Station in Wind Perturbations
No full textThe use of Unmanned Aerial Vehicles (UAVs) as Aerial Base Station (ABSs) is emerging as an effective technique to provide high capacity wireless networks to ground users. In this paper, cell coverage of a low altitude UAV is investigated for supporting such networks. An analytical framework for cell coverage area of an ABS is provided for Suburban, Urban and Urban high rise environments using a solid angle approach including radio link propagation effects in air- to-ground channel obtained from ray tracing simulations. Here, we account for the change in Euler angles such as roll, pitch and yaw due to perturbations by wind gusts or intentional maneuvers which leads to an increase in the geometrical coverage area by approximately 40-50 %, given same transmission power and antenna gain of the ABS
Network‐Assisted Unmanned Aerial Vehicle Communication for Smart Monitoring of Lockdown
No full textThe spread of the COVID-19 pandemic, commonly called coronavirus, has caused serious problems in society leading to the deaths of many people, affecting businesses, jobs, and education all over the globe. Social distancing, and avoiding group gathering and physical contact are the potential solutions to reduce the spread of the virus. In this chapter, we exploit the benefits of unmanned aerial vehicles (UAVs) deployed as aerial base stations (ABSs) or relays for terrestrial communication, crowd surveillance, and monitoring as the key aspect to enable social distancing restrictions
SELEKSI PEMASOK BERDASARKAN KRITERIA GREEN SUPPLIER MENGGUNAKAN BEST-WORST METHOD (BWM) DAN FUZZY VIKOR DI PT INKA (PERSERO)
No full textJika membutuhkan abstrak atau isi jurnal silahkan menghubungi author melalui e-mail [email protected] atau [email protected]
Dipublikasikan tanggal: 16 Juli 202
Enhancing URLLC in Integrated Aerial Terrestrial Networks: Design Insights and Performance Trade-Offs
No full textNon-orthogonal multiple access (NOMA) is a promising radio access technique that enables massive connectivity and increased spectral efficiency. The deployment of aerial base stations (ABSs) as a relay is also an optimistic goal that fairly serves a large number of internet of things (IoT) devices. On one side, ABS-assisted communication leverages effective communication services for secondary IoT devices in smart cities. On the other hand, NOMA allows several IoT devices to concurrently acquire the same frequency-time resource. To this end, weighted sum-rate (WSR) is an essential goal because it allows numerous trade-offs between user fairness and sum-rate efficiency. Therefore, this work aims to investigate the WSR for an integrated aerial terrestrial network subject to cellular power and delay constraints in downlink NOMA. Herein, a theoretical insight-based low-complexity iterative solution is provided for optimal power and blocklength allocation to achieve maximum sum-rate. For this purpose, the mixed-integer non-linear problem is formulated and a low-complexity near-optimal solution is proposed. Numerical results show that the proposed scheme achieves a near-optimal solution and outperforms baseline techniques, i.e., the performance gain of 5.18% over the legacy OMA system for NOMA with two IoT devices per subcarrier
Task Dependency Aware Optimal Resource Allocation for URLLC Edge Network: : A Digital Twin Approach Using Finite Blocklength
No full textNext-generation wireless networks envision ubiquitous access and computational capabilities by seamlessly integrating aerial and terrestrial networks. Digital twin (DT) technology emerges as a proactive and cost-effective approach for resourcelimited networks. Mobile edge computing (MEC) is pivotal in facilitating mobile offloading, particularly under the demanding constraints of ultra-reliable and low-latency communication (URLLC). This study proposes an advanced bisection samplingbased stochastic solution enhancement (BSSE) algorithm to minimize the systemfs overall energy-time cost by jointly optimizing task offloading and resource allocation strategies. The formulated problem is a mixed-integer nonlinear programming problem due to its inherently combinatorial linkage with task-offloading decisions and strong correlation with resource allocation. The proposed algorithm operates iteratively through the following steps: 1) narrowing the search space through a one-climb policy, 2) developing a closed-form solution for optimal CPU frequency and transmit power, and 3) implementing randomized task offloading, which updates it in the direction of reducing objective value. The scalability of the proposed algorithm is also analyzed for a two-device model, which is subsequently extended to multiple devices. Comparative analysis against benchmark schemes reveals that our approach reduces total energy-time cost by 15.35% to 33.12% when weighting parameter ∂ λ k2 k2 is increased from 0.1 to 0.3, respectively
- …
