Proceedings of the 21st International Conference on Distributed Computing and Networking最新文献_第4页

Role of Machine Learning in ETL Automation 机器学习在ETL自动化中的作用

Proceedings of the 21st International Conference on Distributed Computing and Networking Pub Date : 2020-01-04 DOI: 10.1145/3369740.3372778

K. Mondal, Neepa Biswas, Swati Saha

{"title":"Role of Machine Learning in ETL Automation","authors":"K. Mondal, Neepa Biswas, Swati Saha","doi":"10.1145/3369740.3372778","DOIUrl":"https://doi.org/10.1145/3369740.3372778","url":null,"abstract":"In the current business landscape, real-time analysis of enterprise data is very crucial for decision-makers of the organization to take strategic resolution and stay ahead of the competitors. Most of the time, it happens that data is outdated by the time it reaches to the user. The organization needs reliable, up to minute information to make better proactive business decisions, improve the process and organizational efficiency. Availability of information and business-critical report at real-time can be achieved through an automated ETL process. Typically, running a data warehouse in an enterprise requires coordination of many operations across many teams including applications and database teams. Also, it required a lot of manual intervention, which is error-prone. Executing all related steps in correct sequences under accurate conditions can be a challenge. Automated ETL process helps to address all these problems. Moreover, the preprocessing of data is a crucial step for making data ready to load in a data warehouse for analysis. Machine learning-based preprocessing can be used to ensure the quality of data. In this paper, we have addressed the issues faced in traditional data warehouse related to availability as well as the quality of data. We have explained how to automate the ETL process and how machine learning can be leveraged in the ETL process so that the quality and availability of data does not ever have been compromised and reached to the user on a near real-time basis.","PeriodicalId":240048,"journal":{"name":"Proceedings of the 21st International Conference on Distributed Computing and Networking","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115935090","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Designing an Information Bot for an Opportunistic Mobile Environment in Disaster Response Scenario 灾害响应场景下机会移动环境的信息机器人设计

Proceedings of the 21st International Conference on Distributed Computing and Networking Pub Date : 2020-01-04 DOI: 10.1145/3369740.3372762

T. Mondal, Imran Ali, Praveen Kumar, Sujoy Saha, Indrajit Bhattacharya

引用次数: 0

Dynamic Computation Off-loading and Control based on Occlusion Detection in Drone Video Analytics 无人机视频分析中基于遮挡检测的动态计算卸载与控制

Proceedings of the 21st International Conference on Distributed Computing and Networking Pub Date : 2020-01-04 DOI: 10.1145/3369740.3369793

Rajeswara Rao Ramisetty, Chengyi Qu, Rumana Aktar, Songjie Wang, P. Calyam, K. Palaniappan

{"title":"Dynamic Computation Off-loading and Control based on Occlusion Detection in Drone Video Analytics","authors":"Rajeswara Rao Ramisetty, Chengyi Qu, Rumana Aktar, Songjie Wang, P. Calyam, K. Palaniappan","doi":"10.1145/3369740.3369793","DOIUrl":"https://doi.org/10.1145/3369740.3369793","url":null,"abstract":"Unmanned Aerial Vehicles (UAVs) or drones equipped with cameras are extensively used in different scenarios such as surveillance of hazardous locations, disaster response and crime fighting. The related video streaming/analytics requires real-time drone-to-Ground Control Station (GCS) communication and computation co-ordination for desired user Quality of Experience (QoE). In situations where the quality of the video can be affected by occlusions (e.g., image distortion, frame stalling) due to network bottlenecks, there is a need to dynamically make decisions on the computation offloading and networking protocols in order to properly handle the video data for real world application purposes. In this paper, we propose a novel function-centric computing approach that helps a user to perform drone video analytics to assess a wide-area scene to chart a plan of action. Our approach involves handling network impairments affecting the switching between high resolution/low resolution video capture, or change of camera direction for assessment of the scene effectively. It also features a novel video quality enhancing algorithm based on occlusion-detection that adapts to video impairments related to image distortion and frame stalling. Our experiment results from a realistic testbed show that our approach can efficiently choose the suitable networking protocols (i.e., TCP/HTTP, UDP/RTP, QUIC) and orchestrate both the camera control on the drone, and the computation off-loading of the video analytics over limited edge computing resources. The performance improvements for computation off-loading involving our video quality enhancing algorithm are shown for different network conditions in terms of occlusion rate and processing times.","PeriodicalId":240048,"journal":{"name":"Proceedings of the 21st International Conference on Distributed Computing and Networking","volume":"157 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123366750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

Analyzing the human behavior using pervasive sensing system 利用普适传感系统分析人类行为

Proceedings of the 21st International Conference on Distributed Computing and Networking Pub Date : 2020-01-04 DOI: 10.1145/3369740.3372766

Maitri Vaghela, Kalyan Sasidhar

引用次数: 2

Designing Embedded Visible Light Communication System Adaptable to Fluctuations in Light Intensity 适应光强波动的嵌入式可见光通信系统设计

Proceedings of the 21st International Conference on Distributed Computing and Networking Pub Date : 2020-01-04 DOI: 10.1145/3369740.3372758

Kashi Nath Datta, Pradipta Das, M. Saha, Sujoy Saha

{"title":"Designing Embedded Visible Light Communication System Adaptable to Fluctuations in Light Intensity","authors":"Kashi Nath Datta, Pradipta Das, M. Saha, Sujoy Saha","doi":"10.1145/3369740.3372758","DOIUrl":"https://doi.org/10.1145/3369740.3372758","url":null,"abstract":"Internet of Things (IoT) extends the connectivity of internet connected devices like laptops, smartphones with internet-enabled embedded devices using wireless communication technology and sensing devices to interact with the external world. IoT based devices mainly use wireless technology like WiFi, Zigbee, Bluetooth Low Energy (BLE) for communication. Due to the large number of IoT devices and limited spectrum in the Radio Frequency band the system suffers from bandwidth crunch. Hence, the high bandwidth capacity of visible light provides the solution to the spectral crisis. So, the visible light based new wireless technology opens up a new domain of integrated communication system with sensors using lights. The LED beams transmit information from the transmitter's side to the photo-detector on the receiver's side. But, the photo-detector is affected by fluctuations in the brightness of ambient light and also by the variations in the distance between transmitter and receiver. To solve these problems, we design a hardware circuit to eliminate the effect of ambient light during transmission and also remove the effect of the variable intensity of transmitted LED power introduced due to change in the relative distance between the transmitter and receiver. In the experimental setup we use 5mm RED LED and OPT101 photodiode as transmitter and receiver respectively. Our experimental setup can eliminate up to 273 lux ambient light and detect bits correctly upto a bit duration of 1 μs","PeriodicalId":240048,"journal":{"name":"Proceedings of the 21st International Conference on Distributed Computing and Networking","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123382908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

CNN Based Approach for Post Disaster Damage Assessment 基于CNN的灾后损害评估方法

Proceedings of the 21st International Conference on Distributed Computing and Networking Pub Date : 2020-01-04 DOI: 10.1145/3369740.3372753

Srijan Nag, Tamal Pal, Souvik Basu, S. Bit

{"title":"CNN Based Approach for Post Disaster Damage Assessment","authors":"Srijan Nag, Tamal Pal, Souvik Basu, S. Bit","doi":"10.1145/3369740.3372753","DOIUrl":"https://doi.org/10.1145/3369740.3372753","url":null,"abstract":"After any disaster, the Government rehabilitates the victims based on the severity of the damage caused to their properties. Since a huge number of rehabilitation claims flow in after the disaster, it takes up a lot of manual labor in inspecting and validating the claims along with deciding the amount of rehabilitation to be granted. Moreover, such manual inspection leads to a lack of transparency. In recent years, social media posts, text, and images have become a rich source of post-disaster situational information that may be useful in assessing damage at a low cost. Most of the existing research explores the use of social media text for extracting situational information useful for disaster response. The usage of social media images to assess disaster damage is limited. In this paper, we propose a convolutional neural network-based approach to locate damage in a disaster image and to quantify the degree of the damage. The proposed damage assessment system categorizes images of earthquake-affected buildings and decides the severity of the damage caused by the earthquake. Our proposed approach enables the use of social media images for post-disaster damage assessment and provides an inexpensive and feasible alternative to the more expensive GIS approach. Our approach exhibits high accuracy in classifying earthquake-affected buildings and determining the severity of damage at a negligible loss.","PeriodicalId":240048,"journal":{"name":"Proceedings of the 21st International Conference on Distributed Computing and Networking","volume":"37 16","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131608795","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Adaptive Prefetching at Network Edge to Improve DASH QoE 网络边缘自适应预取提高DASH QoE

Proceedings of the 21st International Conference on Distributed Computing and Networking Pub Date : 2020-01-04 DOI: 10.1145/3369740.3373802

Hema Kumar Yarnagula, V. Tamarapalli

引用次数: 0

Distributed routing for underwater wireless sensor networks using cuckoo search-ant colony optimization 基于布谷鸟搜索-蚁群优化的水下无线传感器网络分布式路由

Proceedings of the 21st International Conference on Distributed Computing and Networking Pub Date : 2020-01-04 DOI: 10.1145/3369740.3372757

D. P. Mahato, Jasminder Kaur Sandhu, Gitanshu, Kamlesh Dutta

引用次数: 5

A Scalable Algorithm for Multiparty Interactive Communication with Private Channels 私有信道下多方交互通信的可扩展算法

Proceedings of the 21st International Conference on Distributed Computing and Networking Pub Date : 2020-01-04 DOI: 10.1145/3369740.3369771

Abhinav Aggarwal, Varsha Dani, Thomas P. Hayes, Jared Saia

{"title":"A Scalable Algorithm for Multiparty Interactive Communication with Private Channels","authors":"Abhinav Aggarwal, Varsha Dani, Thomas P. Hayes, Jared Saia","doi":"10.1145/3369740.3369771","DOIUrl":"https://doi.org/10.1145/3369740.3369771","url":null,"abstract":"A group of n players wants to run a distributed protocol ρ over a network where communication occurs via private point-to-point channels. Unfortunately, an adversary, who knows P, is able to maliciously flip bits on the channels. Can we efficiently simulate ρ in the presence of such an adversary? We show that this is possible, even when L, the number of bits sent in ρ, and T, the number of bits flipped by the adversary are not known in advance. In particular, we show how to create a robust version of ρ, ρ' such that 1) ρ' fails with probability at most δ, for any δ > 0; and 2) ρ' sends Õ (L + T) bits, where the Õ notation hides a log(nL/δ) term multiplying L. Critically, our result requires that ρ be a protocol that runs correctly in an asynchronous network; in contrast, our protocol ρ' must run in a synchronous network. Additionally, we show how to improve this result when the average message size is not constant. In particular, we show how to create a protocol ρ' that sends O(L(1 + (1/α) log(nL/δ)) + T) bits, where α is the average message size. This new ρ' is adaptive in that it does not require a priori knowledge of α. We note that if α is Ω (log(nL/δ)), then this improved algorithm sends only O(L + T) bits, and is therefore within a constant factor of optimal.","PeriodicalId":240048,"journal":{"name":"Proceedings of the 21st International Conference on Distributed Computing and Networking","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130049755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Weak robots performing conflicting tasks without knowing who is in their team 弱机器人执行相互冲突的任务，而不知道他们的团队中有谁

Proceedings of the 21st International Conference on Distributed Computing and Networking Pub Date : 2020-01-04 DOI: 10.1145/3369740.3369794

Subhash Bhagat, P. Flocchini, K. Mukhopadhyaya, N. Santoro

引用次数: 4