Entity alignment to find equivalent entities in cross-lingual Knowledge Graphs (KGs) plays a vital role automatically integrating multiple KGs. Existing translation-based entity methods jointly model the knowledge and monolingual into one unified optimization problem. On other hand, Graph Neural Network (GNN) based either ignore node differentiations, or represent relation through triple instances. They all fail meta semantics embedded nor complex relations such as n-to-n multi-graphs. To...

Most modern Issue Tracking Systems (ITSs) for open source software (OSS) projects allow users to add comments issues. Over time, these accumulate into discussion threads embedded with rich information about the project, which can potentially satisfy diverse needs of OSS stakeholders. However, discovering and retrieving relevant from is a challenging task, especially when discussions are lengthy number issues in ITSs vast. In this paper, we address challenge by identifying types presented...

Cloud computing promises customers the on-demand ability to dynamically provision virtualization resources in face of workload variations. Most existing scaling approaches addressed this problem by allocating application a certain amount cloud resources. However, availability influenced VM-based physical locations during resource process is serious challenge due dynamic complex and has not been widely discussed yet. In paper, we present novel availability-based model describe attribute one...

Most feature selection methods first compute a similarity matrix by assigning fixed value to pairs of objects in the whole data or class computing between two from original data. The is as constant subsequent process. However, similarities computed may be unreliable, because they are affected noise features. Moreover, local structure within classes cannot recovered if equal. In this paper, we propose novel adaptive projection (LAP) framework. Instead before performing selection, LAP...

Short texts, such as Twitter social media posts, have become increasingly popular on the Internet. Inferring topics from massive numbers of short texts is important to many real-world applications. A single text often contains a few words, making traditional topic models less effective. recently developed biterm model (BTM) effectively by capturing rich global word co-occurrence information. However, in sparse short-text context, highly related words may never co-occur. BTM lose potential...

In open-source software (OSS), the design of usability is often influenced by discussions among community members on platforms such as issue tracking systems (ITSs). However, digesting rich information embedded in can be a major challenge due to vast number and diversity comments. We propose evaluate ArguLens, conceptual framework automated technique leveraging an argumentation model support effective understanding consolidation opinions ITSs. Through content analysis, we anatomized highly...

A number of challenges in implementing cloud technique related to further improving Web application performance and decreasing the cost. In order achieve high profits, cloud-based web providers must carefully balance resources dynamic workloads. However, this task is usually difficulty because complex nature most application. paper, we presented a predictive model analyze such applications determine when how much resource allocate each tier an addition, proposed new profit describe revenues...

Cloud computing has attracted increasing attention in recent years. With the growth number and frequency of applications being deployed into clouds, burden resource management cloud providers is becoming heavier. The deployment must satisfy need about performance, availability reliability from view clients, but also ensure high utilization providers. In this paper, we design a multi-objective serial optimization with priorities approach, named RMORM, to find clouds rapidly. This approach...

The increasing availability and diversity of virtual reality (VR) applications highlighted the importance their usability. Function-oriented VR posed new challenges that are not well studied in literature. Moreover, user feedback becomes readily available thanks to modern software engineering tools, such as app stores open source platforms. Using Firefox Reality a case study, we explored major types usability issues raised these We found 77% feedbacks can be mapped Nielsen's heuristics while...

With the rise of cloud computing and services, network environments tend to be more complex enormous. Security control becomes hard due frequent various access requests. There are a few techniques solve problem which developed separately in recent years. Network Micro-Segmentation provides system ability keep different parts separated. Zero Trust Model ensures is trusted users business by applying policy that verify authenticate everything. combination Segmentation Model, will obtain...

Abstract In this article, the distributed consensus tracking problem is investigated for a group of heterogeneous nonlinear multiagent systems (MASs). The dynamic each follower subject to multiple time‐varying state delays and unknown non‐identical control coefficients. Most existing results MASs with coefficients are on condition that only specific Nussbaum‐type function can be used. This constraint removed by employing enhanced Nussbaum functions. Some appropriate Lyapunov–Krasovskii...

In this article, the finite-time consensus problem is investigated for a group of heterogeneous nonlinear multiagent systems with input delays. Different from existing results, delays are assumed to be nonidentical and time-varying. To overcome difficulty delays, novel compensation mechanism introduced. Moreover, in order save communication resources, distributed self-triggered observer constructed. By employing dynamic surface control strategy, adaptive neural protocol proposed. It proved...

The availability of Web applications influenced by Virtual Machine (VM)-based physical locations during resource scaling is a crucial concern for customers and cloud providers. In this paper, we present novel computing model to describe attribute one application in hierarchical structured cloud. Meanwhile, propose an availability-aware approach explore how where allocate via vertical horizontal scaling. Partial experimental results simulation environment are also presented.

As a national strategic hot spot, the Internet of Things (IoT) has shown its vigor and vitality. With development IoT, application in power grid is more extensive. an advanced technology for information sensing transmission, IoT been applied extensively generation, transformation, distribution, utilization other processes, will develop with broad prospect smart grid. Narrow Band (NB-IoT) prospects production management, life-cycle asset management Its characteristics security demands domain...

The human-machine interaction provides effective operation and control of the machine on users' end, feedback from machine. Flexible display prevails over conventional flat by its ability to change geometric appearance, can provide alternative user-display interactions. In this paper, a bendable phone technology with flexible AMOLED novel bending interactive interface has been disclosed. more intuitive for users

Given the recent changes in open source software (OSS) landscape, we examined OSS contributors' current valued factors, practices, and challenges concerning usability. Our survey provides insights for practitioners tool designers to promote a user-centric mindset improve usability practice communities.