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A study on the Extraction of Activity-Based Flexible Office Characteristics : Focused on AHP Analysis of Employees

A Study on the Extraction of Activity-Based Flexible Office ...

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Software Engineering, Artificial Intelligence, Networking and Parallel/distributed computing (SNPD-Winter), ACIS international Winter conference on

作者： Jin Won Jang Yong Gi Park Seong Il Hur Yong Joon Ahn Ernst & Young Han Young Seoul South Korea National Assembly of South Korea Seoul South Korea Soar IT Corporation Co. Ltd Seoul South Korea Good Consulting Group Seoul South Korea

With the development of Information and Communications technology (ICT) and the entry of the Millennial generation, organizations are increasingly introducing activity-based flexible offices (A-FO). A-FO refers to a working environment where people can work anytime and anywhere using digital devices without restrictions on time or space. The main purpose of companies' introduction of A-FO is to give employees work autonomy and to promote horizontal communication, ultimately encouraging members to innovate. In this study, the impact of A-FO characteristics on the members' intention to innovate was empirically verified through the medium of business autonomy and horizontal communication.

关键词： Organizations Millennials Information and communication technology Artificial intelligence Software engineering

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Hermit: A Novel Approach for Dynamic Load Balancing in Cloud computing 1st

Hermit: A Novel Approach for Dynamic Load Balancing in Cloud...

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1st international conference on intelligent and Cloud computing, ICICC 2019

作者： Mohapatra, Subasish Mohanty, Subhadarshini Hota, Arunima Patra, Prashanta Kumar Dash, Jijnasee Department of Computer Science and Engineering College of Engineering and Technology Bhubaneswar India

ISBN: (纸本)9789811559709

Cloud computing is the recent trend in computing paradigms. It is widely being used by different communities due to its abundant opportunities as resources or services. The cloud hosts a variety of web applications and provides services on a pay-per-use basis. It has many computing issues related to server management, response time, content delivery, etc. As the number of users is raised alarmingly in the cloud, so to balance their need the load balancing has turned to be a major issue in cloud computing. It is one of the challenging tasks to schedule the load in this distributed environment. Hence, it is one of the prominent areas of research and development. In this paper, we have analyzed different metaheuristic algorithms and proposed a novel meta-heuristic algorithm for load balancing in the cloud computing environment. We have evaluated the performance of the algorithm with other competitive schemes such as Tabu Search, Simulated Annealing, Particle Swarm Optimization, and Genetic Algorithm, etc., in different measures like waiting time and turnaround time. The proposed approach outperforms existing schemes. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Cloud computing

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FMSM: A Fuzzy Multi-keyword Search Scheme for Encrypted Cloud Data based on Multi-chain Network 21

FMSM: A Fuzzy Multi-keyword Search Scheme for Encrypted Clou...

引用

50th international conference on Parallel Processing (ICPP)

作者： He, Heng Liu, Chengyu Zhou, Xiaohu Feng, Ke Wuhan Univ Sci & Technol Sch Comp Sci & Technol Wuhan Peoples R China Hubei Prov Key Lab Intelligent Informat Proc & Re Wuhan Peoples R China Birmingham City Univ Sch Comp Engn & Built Environm Birmingham W Midlands England

ISBN: (纸本)9781450384414

Searchable encryption is an efficient and secure solution that can perform search operation in ciphertext on cloud servers. It is widely used by a growing number of businesses and individuals. However, most existing searchable encryption schemes typically overestimate the security level of the cloud server, which is an untrusted and centralized third party in fact. The emergence of blockchain technology solves the trustworthiness problem of the third party with features such as decentralization, verifiability and immutability. The combination of searchable encryption and blockchain technology uses the smart contract instead of the cloud server to execute ciphertext search task, which improves security and efficiency of search significantly. We propose a Fuzzy Multi-keyword Search Scheme for Encrypted Cloud Data based on Multi-chain Network (FMSM). FMSM is a distributed searchable encryption scheme since we adopt a multi-chain architecture. It not only supports fuzzy multi-keyword search and dynamic updates for encrypted cloud data, but also supports parallel processing of data. In FMSM, counting bloom filter and MinHash algorithm are used to construct index vectors and query vectors on the corresponding two chains, besides, the search is done on a third chain. All of these calculation tasks are executed in the way of distributed computing, which makes the index construction and search process more efficient and the sorting results more accurate. The security analysis and performance evaluation show that the FMSM has high security, reliability, search efficiency and accuracy.

关键词： Searchable encryption blockchain fuzzy search multi-keyword search multi-chain

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The Prize-Collecting k-steiner Tree Problem 21st

The Prize-Collecting k-Steiner Tree Problem

引用

21st international conference on Parallel and distributed computing, Applications, and Technologies, PDCAT 2020

作者： Han, Lu Wang, Changjun Xu, Dachuan Zhang, Dongmei Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing100190 China Department of Operations Research and Information Engineering Beijing University of Technology Beijing100124 China School of Computer Science and Technology Shandong Jianzhu University Jinan250101 China

ISBN: (纸本)9783030692438

In this paper, we study the prize-collecting k-steiner tree problem (PC k-st), which is an interesting generalization of both the k-steiner tree problem (k-st) and the prize-collecting steiner tree problem (PCst). In the PC k-st, we are given an undirected connected graph G= (V, E), a subset R⊆ V called terminals, a root vertex r∈ V and an integer k. Every edge has a non-negative edge cost and every vertex has a non-negative penalty cost. We wish to find an r-rooted tree F that spans at least k vertices in R so as to minimize the total edge costs of F as well as the penalty costs of the vertices not in F. As our main contribution, we propose two approximation algorithms for the PC k-st with ratios of 5.9672 and 5. The first algorithm is based on an observation of the solutions for the k-st and the PCst, and the second one is based on the technique of primal-dual. © 2021, Springer Nature Switzerland AG.

关键词： Approximation algorithms

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Online Learning-Based Co-task Dispatching with Function Configuration in Edge computing 1

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21st international conference on Parallel and distributed computing, Applications, and Technologies, PDCAT 2020

作者： Cao, Wanli Tan, Haisheng Han, Zhenhua Han, Shuokang Li, Mingxia Li, Xiang-Yang LINKE Lab University of Science and Technology of China Hefei China Microsoft Research Asia Shanghai China

ISBN: (数字)9783030692445

ISBN: (纸本)9783030692438

Edge computing is a promising cloud computing paradigm that reduces computing latency by deploying edge servers near data sources and users, which is of great importance to implement delay-sensitive applications like AR, Cloud Gaming and Auto Driving. Due to the limited resources of edge servers, task dispatching and function configuration are the key to fully utilize edge servers. Moreover, a typical task request in edge computing (called a co-task) is consisted of a set of subtasks, where the task completion time is determined by the latest completed subtask. In this work, we propose a scheme named OnDisco, which combines reinforcement learning and heuristic methods to minimize the average completion time of co-tasks. Compared with heuristic algorithm, deep reinforcement learning can learn the inherent characteristics of the environment without any prior knowledge, and OnDisco is therefore well adapted to varying environments. Simulations on Alibaba traces shows that OnDisco reduces the average task completion time by 58 % and 76 % compared with the heuristic and random algorithm, respectively. Moreover, OnDisco outperforms the baselines consistently in various data environments and parameter settings. © 2021, Springer Nature Switzerland AG.

关键词： Edge computing

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Garbage Sorting Front-end System Based on Deep Learning and Embedded technology 1

Garbage Sorting Front-end System Based on Deep Learning and ...

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1st international conference on Electronic Information technology and Smart Agriculture, ICEITSA 2021

作者： Wang, Qingnan Tu, Jihui Liu, Feifei School of Mechanics and Optoelectronics Physics Huaihua University Huaihua China School of Electronic and Information Yangtze University Jingzhou China

ISBN: (纸本)9781665413008

General garbage sorting systems is mainly based on high-performance servers, which require a large amount of computing resources and complex network connections. It is not suitable for the characteristics of distributed layout and resource shortage of garbage sorting front-end devices. At the same time, the lack of daily garbage sample data also affects the universality and accuracy of the garbage classification. In this paper, a garbage sorting front-end system for residents' daily life is proposed. The system could realize daily garbage intelligent classification based on MobileNetV3 and transfer learning. A garbage classification lightweight model for embedded systems is obtained by fine-tuning based on ImageNet pre-training model. Taking RaspberryPi as the core, the garbage sorting front-end system was established and tested, and the average accuracy was 92.10%. The result of experiment proves that the model is easy to deploy on the embedded system, which could effectively classify daily garbage with less data. © 2021 IEEE.

关键词： Embedded systems

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Energy Optimized Non-preemptive Scheduling of Real-Time Tasks with Precedence and Reliability Constraints

Energy Optimized Non-preemptive Scheduling of Real-Time Task...

引用

international conference on VLSI Design

作者： Niraj Kumar Arijit Mondal Dept. of Computer Science and Engineering Rajiv Gandhi Institute of Petroleum Technology Jais Dept. of Computer Science and Engineering Indian Institute of Technology Patna India

ISBN: (数字)9781665485050

ISBN: (纸本)9781665496612

The contemporary applications have become highly parallel and computation-intensive, which can be processed efficiently on a distributed heterogeneous multiprocessor system. However, the consequences such as precedence constraint must be taken care of by the scheduling mechanism. In addition, the lower energy consumption and higher reliability are among the crucial, however conflicting system design objectives for the real-time systems. In this work, we address the problem of scheduling of a set of non-preemptive real-time tasks with precedence, timing, and reliability constraints on a heterogeneous multiprocessor system to optimize energy consumption. In addition, we consider the effects of waiting time on the system reliability, which is inescapable, especially for parallel applications. Motivated by the intractability of computing an optimal solution, we propose a simulated annealing-based approach to obtain a near-optimal solution to the aforementioned problem. Additionally, a heuristic is also presented to compute a solution in a reasonable time. We perform an extensive simulation study for the synthetic as well as practical application graphs and report the performance with respect to various simulation parameters.

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Low-Latency Energy-Efficient Cyber-Physical Disaster System Using Edge Deep Learning 20

Low-Latency Energy-Efficient Cyber-Physical Disaster System ...

引用

21st international conference on distributed computing and Networking (ICDCN)

作者： Patel, Yashwant Singh Banerjee, Sourasekhar Misra, Rajiv Das, Sajal K. Indian Inst Technol Patna Patna Bihar India Missouri Univ Sci & Technol Rolla MO 65409 USA

ISBN: (纸本)9781450377515

Reported works on cyber-physical disaster systems (CPDS) deal with the assessment of loss and damage aftermath of a large-scale disaster such as earthquake, wildfire, and cyclone, etc. involves collecting data from the IoT devices sent to the cloud data centers for analysis, often causes high bandwidth usage with substantial delay. In our work, we have shown to eliminate bandwidth cost and reducing latency substantially suitable for post-disaster response for rescue operations. We propose a low-latency and energy-efficient CPDS applying cloud-IoT-edge by bringing intelligence and inferencing proximity to the disaster site to detect the disaster events in real-time and inform to the rescue teams. The edge computing model of CPDS uses convolutional neural network (CNN) with MobileNetV2 lightweight model and gradient weighted class activation mapping (Grad-CAM++) to locate and quantify degree of the damage into classes-severe, mild, and no damage. We implemented CPDS on a real-world laboratory testbed that comprises resource-constrained edge devices (Raspberry Pi, smartphones, and PCs) and docker-based containerization of deep learning models and analyzed the computational complexity. With the rigorous experiments of the proposed approach, we evaluated the performance in terms of classification accuracy, energy saving, and end-to-end (E2E) delay comparing with the current state-of-the-art approaches.

关键词： Cyber-physical systems Disaster damage assessment Containerization Deep learning Edge computing Energy efficiency

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The Rising of Blockchain technology and Its Adoption in India 1st

The Rising of Blockchain Technology and Its Adoption in Indi...

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1st FICR international conference on Rising Threats in Expert Applications and Solutions, FICR-TEAS 2020

作者： Rathore, Vijay Singh Kumawat, Vijeta Umamaheswari, B. University ICG Campus Gurukul Marg Mansarovar JaipurRajasthan302020 India JECRC Shri Ram Ki Nangal via Sitapura RIICO Tonk Road Jaipur302022 India

ISBN: (纸本)9789811560132

The demonetization of India has become a major impetus for the country to switch to digitalization and become a cashless country. Although new and potentially disruptive innovations, such as Cryptocurrencies and the Blockchain, are in their development stages, they are able to convert paper money into digital currency, providing a decentralized and secure environment. Blockchain features such as distributed computing, privacy, authenticity, non-denial, data integrity, and data availability can help a country like India become a cash economy. Finally, people in India started comprehending the necessity of digital money and non-cash loom it offers. After the successful adoption of large-scale non-cash payments, India is currently fanatical to move toward blockchain adoption. Blockchain technology is budding as the prime innovations that will shape the potential of digital and online transactions in India. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Blockchain

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A study on Blockchain Application in Donation Platform

A Study on Blockchain Application in Donation Platform

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Software Engineering, Artificial Intelligence, Networking and Parallel/distributed computing (SNPD-Winter), ACIS international Winter conference on

作者： Wooyoung Lee Dukjin Kim Byeong Ryun Jeon Graduate School Soongsil Univ. Seoul South Korea

ISBN: (纸本)9781665418430;9781665448260

Recently, interest in the spread of the culture of sharing has been increasing at a social level due to the deepening income polarization, poverty, and the rapid growth of civil society and the importance of public interest activities of private organizations. In 2016, the National statistical Office conducted a survey on changes in donation attitudes and recognition of donations, items that took up a large part in the area for the spread of the overall donation culture were the convenience of donation methods and the enhancement of transparency of donation organizations. The existing donation system is a way for donors to donate directly to several donor organizations. However, this method has its disadvantage: it is difficult for donors to see how their donations are spent. To address the convenience of such donation methods, based on the platform that is the core of the fourth industrial era, it enables unrestricted interaction in the network environment such as mobile or PC, inducing open participation in talent donation to the general public. Blockchain is a data forgery/modulation prevention technology based on distributed computing technology. Because the block chain records continuously changing data on all participating nodes, it is impossible to arbitrarily manipulate the data by the operators of distributed nodes. Blockchain technology is in the spotlight because it can secure transparency in transactions. In this paper, to solve these problems, we try to introduce the block chain technology into the donation system.

关键词： distributed databases Blockchain Organizations Artificial intelligence Software engineering

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