An offline-online strategy for multiscale problems with random defects

In this paper, we propose an offline-online strategy based on the Localized Orthogonal Decomposition (LOD) method for elliptic multiscale problems with randomly perturbed diffusion coefficient. We consider a periodic deterministic coefficient with local defects that occur with probability $p$. The offline phase pre-computes entries to global LOD stiffness matrices on a single reference element (exploiting the periodicity) for a selection of defect configurations. Given a sample of the perturbed diffusion the corresponding LOD stiffness matrix is then computed by taking linear combinations of the pre-computed entries, in the online phase. Our computable error estimates show that this yields a good approximation of the solution for small $p$, which is illustrated by extensive numerical experiments. This makes the proposed technique attractive already for moderate sample sizes in a Monte Carlo simulation.

Autonomous maneuver strategy of swarm air combat based on DDPG

Unmanned aerial vehicles (UAVs) have been found significantly important in the air combats, where intelligent and swarms of UAVs will be able to tackle with the tasks of high complexity and dynamics. The key to empower the UAVs with such capability is the autonomous maneuver decision making. In this paper, an autonomous maneuver strategy of UAV swarms in beyond visual range air combat based on reinforcement learning is proposed. First, based on the process of air combat and the constraints of the swarm, the motion model of UAV and the multi-to-one air combat model are established. Second, a two-stage maneuver strategy based on air combat principles is designed which include inter-vehicle collaboration and target-vehicle confrontation. Then, a swarm air combat algorithm based on deep deterministic policy gradient strategy (DDPG) is proposed for online strategy training. Finally, the effectiveness of the proposed algorithm is validated by multi-scene simulations. The results show that the algorithm is suitable for UAV swarms of different scales.

Analytical and Numerical Evaluation of Co-Scheduling Strategies and Their Application

Applications in high-performance computing (HPC) may not use all available computational resources, leaving some of them underutilized. By co-scheduling, i.e., running more than one application on the same computational node, it is possible to improve resource utilization and overall throughput. Some applications may have conflicting requirements on resources and co-scheduling may cause performance degradation, so it is important to take it into account in scheduling decisions. In this paper, we formalize the co-scheduling problem and propose multiple scheduling strategies to solve it: an optimal strategy, an online strategy and heuristic strategies. These strategies vary in terms of the optimality of the solution they produce and a priori information about the system they require. We show theoretically that the online strategy provides schedules with a competitive ratio that has a constant upper limit. This allows us to solve the co-scheduling problem using heuristic strategies that approximate this online strategy. Numerical simulations show how heuristic strategies compare to the optimal strategy for different input systems. We propose a method for measuring input parameters of the model in practice and evaluate this method on HPC benchmark applications. We show the high accuracy of the measurement method, which allows us to apply the proposed scheduling strategies in the scheduler implementation.

STRATEGI PENGUMPULAN DANA UNTUK ZAKAT, INFAK DAN SODAKOH (ZIS) UNTUK PEMBERDAYAAN MASYARAKAT DI KABUPATEN BOGOR

This community service aims to provide a solution to the limitation of the movement of the Nahwa Nur Amil Zakat Institution (LAZ) in seeking potential Zakat, Infaq and Sodakoh (ZIS) funds during the Covid-19 pandemic. The materials were given online and then assistance was given to lighten the funding burden in ZIS management. LAZ Nahwa Nur personnel apparently still do not fully understand the fundraising strategy during the Covid-19 pandemic as it is today, even though they have used an online strategy using their own platform, it is still not optimal. So it is advisable to use an external platform that already exists in ZIS fundraising

Analytical and Numerical Evaluation of Co-Scheduling Strategies and Their Application

Applications in high-performance computing (HPC) may not use all available computational resources, leaving some of them underutilized. By co-scheduling, i.e. running more than one application on the same computational node, it is possible to improve resource utilization and overall throughput. Some applications may have conflicting requirements on resources and co-scheduling may cause performance degradation, so it is important to take it into account in scheduling decisions. In this paper, we formalized co-scheduling problem and proposed multiple scheduling strategies to solve it: an optimal strategy, an online strategy and heuristic strategies. These strategies vary in terms of the optimality of the solution they produce and a priori information about the system they require. We showed theoretically that the online strategy provides schedules with a competitive ratio that has a constant upper limit. This allowed us to solve the co-scheduling problem using heuristic strategies that approximate this online strategy. Numerical simulations showed how heuristic strategies compare to the optimal strategy for different input systems. We proposed a method for measuring input parameters of the model in practice and evaluated this method on HPC benchmark applications. We showed high accuracy of measurement method, which allows to apply proposed scheduling strategies in scheduler implementation.

Customer’s digital advocacy: impact of reviews and influencers in building trust for tourism and hospitality services

Purpose Marketers are focusing on the need for customer advocacy to influence other customers and drive consumption. The purpose of this paper is to explore whether online or digital advocacy influences customer decision-making related to the purchase of travel and tourism services. This paper will also identify the categories of influencers that stimulate purchase for travel and tourism. Influencers do want to know the kind of information customers are looking for. Design/methodology/approach This paper is based on a primary survey of travelers to understand their degree of dependence on online reviews while making hospitality consumption-related decisions. Findings This paper looks at both influencer marketing and online reviews by consumers to understand consumption toward advocated brand. Influencers who are perceived as unbiased in their viewpoints are trending on social media. Consumers gain trust in reviews that disclose reviewer information, number of relevant reviews are present over a period and presence of both unbiased positive and negative recommendations related to the establishment and prices versus performance. Practical implications Marketers and influencers alike can gain from the factors influencing consumer trust toward online advocacy and reviewed information. Originality/value Research is relevant for all stakeholders as it highlights the fact that consumers are looking at online reviews and one does not have to be a famous personality to influence purchase. It is relevant for influencers, as it highlights reasons for trust and various information cues that consumers are looking for. Research also gives perspective to influencers to refine online strategy and gain trust of more followers.

Readiness of Electronic Engineering (Computer) Diploma Students in Applying Technical Skills to Face Career Challenges in Internet of Things (IoT)

The aims of this study are to identify the readiness of Electronics Engineering (Computer) Diploma students to apply technical skills to face the challenges in the career related to Internet of Things (IoT). The methodology used in this research was quantitative approach in which questionnaires were distributed to respondents through online strategy. This study involved semester 4 students of Diploma in Electronic Engineering (Computer) at the Department of Electrical Engineering, Polytechnic Port Dickson, who have registered the Internet Base Controller course. A total of 56 students were randomly selected as respondents. Three main aspects where investigated, namely readiness, technical skills and career challenges in the field of IoT. The results of the study show that students were highly ready to enhance their level of knowledge in IoT field from time to time as the field of IoT is growing rapidly. Besides, the students were also ready to apply various technical skills such as hardware, programming skills, IoT platform, microcontroller, wired and wireless technology. Whereas the career challenges faced by the students were related to equipment such as laptops, smartphones and internet connection tool which is important to produce an IoT project during studies. In addition, the similar findings also can be seen from the Internet Based Controller Course Outline Review Report which indicated that the achievement technical skills acquisition has reached 88%. In conclusion, this study has shown that three is a high level in terms of students’ readiness, technical skills and career challenges in IoT field. The students realise that the knowledge and skills related to IoT will provide bright career opportunities in the future and students are ready to increase their potential to face the challenges of IoT development in Malaysia in line with the needs of the industry.