Uniwersytet katolicki wobec wyzwania marnotrawstwa rozumu by Dominique Vermersch

Subjects: “…rozum, racjonalność, wiara, uniwersytet katolicki, prawda…”
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Cóż po Teologii w domu Akademii? by Jerzy Szymik

Subjects: “…wiara…”
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Wiara w Kościele, lecz dla świata. Rekonstrukcja interpretacji nauczania Vaticanum II by Andrzej Napiórkowski

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Obraz współczesnej młodzieży w Polsce. Studium socjologiczno-pastoralne by Krzysztof Pawlina

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QoS-Aware Data Collection in Wireless Sensor Networks by Anfeng Liu, Lin X. Cai, Tom H. Luan, Ajith Ranabahu

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Spatio-temporal aware privacy-preserving scheme in LBS by Weihao LI, Sheng DING, Jiajie MENG, Hui LI

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Semantic-Aware Top-k Multirequest Optimal Route by Shuang Wang, Yingchun Xu, Yinzhe Wang, Hezhi Liu, Qiaoqiao Zhang, Tiemin Ma, Shengnan Liu, Siyuan Zhang, Anliang Li

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Scene-Aware Deep Networks for Semantic Segmentation of Images by Zhike Yi, Tao Chang, Shuai Li, Ruijun Liu, Jing Zhang, Aimin Hao

“…To test the property of our methods, the semantic segmentation models we got were selected to treat other pictures, and the results obtained from the performance of scene-aware semantic segmentation were much better than semantic segmentation without considering categories. …”
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Port Contention Aware Task Scheduling for SIMD Applications by Shogo Saito, Kei Fujimoto

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GAD:topology-aware time series anomaly detection by Qi QI, Runye SHEN, Jingyu WANG

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Survey of the context-aware location privacy-preserving techniques by Dian-hui MAO, Jian CAO, Qiang CAI, Hai-sheng LI

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Method of network slicing deployment based on performance-aware by Kaizhi HUANG, Qirun PAN, Quan YUAN, Wei YOU, Hongbo TANG

“…In order to deal with the performance degradation caused by resource contention due to the sharing of physical resources between VNF in the network slicing,a network slicing deployment method based on performance-awareness was proposed.When deploying network slice instances,first two-phase deployment that mapping virtual nodes was adopted,and then virtual links were mapped.In the virtual nodes mapping phase,the VNF performance influences factor was defined from the perspective of resource supply and demand to quantify the degree of VNF performance impact.Then the sum of the performance influence factors of all VNF on the deployable physical server was found in the network slice instance,the physical server with the smallest sum of performance influence factors was used as the mapping location,and the simulated annealing-discrete particle swarm algorithm was used to find the nodes mapping result.In the virtual links mapping phase,the shortest path algorithm was used to obtain the link mapping result.The simulation results show that the proposed method reduces the impact of other network slices on its own service performance.…”
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Topology-Aware Efficient Path Planning in Dynamic Environments by Haoning Zhao, Jiamin Guo, Chaoqun Wang, Xuewen Rong, Yibin Li

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Energy-aware scheduling policy for data-intensive workflow by Peng XIAO, Zhi-gang HU, Xi-long QU

“…With the increasing scale of data centers,high energy consumption has become a critical issue in high-performance computing area.To address the issue of energy consumption optimization for data-intensive workflow applications,a set of virtual data-accessing nodes are introduced into the original workflow for quantitatively evaluating the data-accessing energy consumption,by which a novel heuristic policy called minimal energy consumption path is designed.Based on the proposed heuristic policy,two energy-aware scheduling algorithms are implemented,which are deprived from the classical HEFT and CPOP scheduling algorithms.Extensive experiments are conducted to investigate the performance of the proposed algorithms,and the results show that they can significantly reduce the data-accessing energy consumption.Also,the proposed algorithms show better adaptive when the system is in presence of large-scale workflows.…”
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Network status aware routing in content-centric network by Yue-ping CAI, Jun LIU

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Gain-aware caching scheme for information-centric networking by Long CHEN, Hong-bo TANG, Xing-guo LUO, Yi BAI, Zhen ZHANG

“…The in-network caching system of information-centric networking had to deal with the popularity of huge number of content chunks and make efficient usage of storage resources.A content popularity based caching gain opti-mization model aimed to get maximum reduction of content retrieve cost was established,and a gain-aware caching scheme was proposed.By utilizing filtering effect of cache to request flow is scheme achieves caching cooperation and diversity potentially while maximizing caching gain of every single node.Bloom filter based sliding window strategy captures the content chunks with high caching gain according to request arrival interval and retrieval cost from the source.Analysis shows that the method can drastically reduce memory consumption caused by popularity monitoring.The simu-lation results illuminate that this scheme is well aware of content popularity based caching gain,and gets better band-width saving and cache hit ratio when content popularity is changing dynamically.…”
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Confidence-Aware Embedding for Knowledge Graph Entity Typing by Yu Zhao, Jiayue Hou, Zongjian Yu, Yun Zhang, Qing Li

“…To address this problem, we propose ConfE, a novel confidence-aware embedding approach for modeling the (entity, entity type) tuples, which takes tuple confidence into consideration for learning better embeddings. …”
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Research on context-aware Android application vulnerability detection by Jiawei QIN, Hua ZHANG, Hanbing YAN, Nengqiang HE, Tengfei TU

“…The vulnerability detection model of Android application based on learning lacks semantic features.The extracted features contain noise data unrelated to vulnerabilities, which leads to the false positive of vulnerability detection model.A feature extraction method based on code information slice (CIS) was proposed.Compared with the abstract syntax tree (AST) feature method, the proposed method could extract the variable information directly related to vulnerabilities more accurately and avoid containing too much noise data.It contained semantic information of vulnerabilities.Based on CIS and BI-LSTM with attention mechanism, a context-aware Android application vulnerability detection model VulDGArcher was proposed.For the problem that the Android vulnerability data set was not easy to obtain, a data set containing 41 812 code fragments including the implicit Intent security vulnerability and the bypass PendingIntent permission audit vulnerability was built.There were 16 218 code fragments of vulnerability.On this data set, VulDGArcher’s detection accuracy can reach 96%, which is higher than the deep learning vulnerability detection model based on AST features and APP source code features.…”
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Power-Aware Node Deployment in Wireless Sensor Networks by Yunhuai Liu, Hoilun Ngan, Lionel M. Ni

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Manet: motion-aware network for video action recognition by Xiaoyang Li, Wenzhu Yang, Kanglin Wang, Tiebiao Wang, Chen Zhang

“…To address this problem, we propose a Motion-Aware Network (MANet), which includes three key modules: (1) Local Motion Encoding Module (LMEM) for capturing local motion features, (2) Spatio-Temporal Excitation Module (STEM) for extracting multi-granular motion information, and (3) Multiple Temporal Aggregation Module (MTAM) for modeling multi-scale temporal information. …”
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