2018 International Conference on Information Technology (ICIT)最新文献_第2页

A Grey Relation Approach for Selection of Industrial Robot 工业机器人选择的灰色关联方法

2018 International Conference on Information Technology (ICIT) Pub Date : 2018-12-01 DOI: 10.1109/ICIT.2018.00038

K. Muduli, J. Pumwa, D. Yadav, Raj Kumar, S. Tripathy

引用次数: 2

[Copyright notice] (版权)

2018 International Conference on Information Technology (ICIT) Pub Date : 2018-12-01 DOI: 10.1109/icit.2018.00003

引用次数: 0

Smart Agriculture: An Approach for Agriculture Management using Recent ICT 智慧农业:利用最新信息通信技术进行农业管理的方法

2018 International Conference on Information Technology (ICIT) Pub Date : 2018-12-01 DOI: 10.1109/ICIT.2018.00047

Subasish Mohapatra, Pratik Srichandan, Subhadarshini Mohanty, Harkishen Singh, P. Patra

{"title":"Smart Agriculture: An Approach for Agriculture Management using Recent ICT","authors":"Subasish Mohapatra, Pratik Srichandan, Subhadarshini Mohanty, Harkishen Singh, P. Patra","doi":"10.1109/ICIT.2018.00047","DOIUrl":"https://doi.org/10.1109/ICIT.2018.00047","url":null,"abstract":"Agriculture forms the backbone of a country's economy. Indian GDP mainly depends on agriculture yield growth and their products from these agro-industry. As it largely depends on monsoons, which affects the yield to a huge extend, for which agriculture yield analysis and prediction is the toughest task for different agricultural departments across the country. Other agriculture factors which can affect yield are pests attack, deviation in temperature, soil moisture, nutrient deficiency, global warming etc. As a developing economy, this can severely affect the country's GDP, hence predicting the yield and advising certain important measures to counter the ill effects on the growth of crop are important for a stable and effective contribution to the economy of the country. It can be done by monitoring, analysing, controlling and implementing accurate amount parameters such as required amount of irrigation, in limit use of chemical fertilizers, manure, choosing crop type according to weather, soil type suitability for crop, crop rotation, moisture amount, temperature etc. In our paper, IoT sensors are used for gathering data, and analysis is done to prepare a predictive model. Our model gives comparative analysis from real data and in turn gives a predictive model which predicts from the remarks of different production data with their environmental condition. This model is tested for the effective prediction and the estimate of the agribusiness yield for the different product in Odisha state.","PeriodicalId":221269,"journal":{"name":"2018 International Conference on Information Technology (ICIT)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124958957","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: 1

A Framework for Fake Review Detection: Issues and Challenges 虚假评论检测框架:问题与挑战

2018 International Conference on Information Technology (ICIT) Pub Date : 2018-12-01 DOI: 10.1109/ICIT.2018.00014

Jitendra Kumar Rout, A. Dash, N. Ray

引用次数: 20

VM Selection using DVFS Technique to Minimize Energy Consumption in Cloud System 基于DVFS技术的云系统能耗最小化虚拟机选择

2018 International Conference on Information Technology (ICIT) Pub Date : 2018-12-01 DOI: 10.1109/ICIT.2018.00064

S. Mishra, Sonali Mishra, Mohit Kumar, B. Sahoo, Deepak Puthal, S. Bharti

引用次数: 6

FireDS-IoT: A Fire Detection System for Smart Home Based on IoT Data Analytics FireDS-IoT:基于物联网数据分析的智能家居火灾探测系统

2018 International Conference on Information Technology (ICIT) Pub Date : 2018-12-01 DOI: 10.1109/ICIT.2018.00042

Sourav Kumar Bhoi, S. K. Panda, B. N. Padhi, Manash Kumar Swain, B. Hembram, Debasish Mishra, C. Mallick, Munesh Singh, P. M. Khilar

{"title":"FireDS-IoT: A Fire Detection System for Smart Home Based on IoT Data Analytics","authors":"Sourav Kumar Bhoi, S. K. Panda, B. N. Padhi, Manash Kumar Swain, B. Hembram, Debasish Mishra, C. Mallick, Munesh Singh, P. M. Khilar","doi":"10.1109/ICIT.2018.00042","DOIUrl":"https://doi.org/10.1109/ICIT.2018.00042","url":null,"abstract":"Fire is the most widespread cause of death by accident. Fire affects thousand of residents each year, resulting in injury and loss of life. In this paper, an Internet of Things (IoT) based Fire Detection System (FireDS-IoT) is designed to prevent people from fire by providing an alert message in the emergency. The system is designed using MQ-135 (CO_2), MQ-2 (smog), MQ-7 (CO) and DHT-11 (temperature) sensors embedded with Arduino to get the fire event information in the surrounding more accurately. This research distinguishes the conditions in a surrounding as fire, no fire, and may be fire. This classification is performed using the K-Nearest Neighbors (K-NN) and decision tree machine learning algorithms in Python. Several scenarios were recorded in the experiment for training. Results show that K-NN and decision tree shows an accuracy of 93.15% and 89.25%, respectively. As a result, we were able to prove that K-NN provides more accuracy in detecting fire. Therefore, it is used for classification, and if fire conditions arise then a safety message is sent to the registered mobile number using Python programming.","PeriodicalId":221269,"journal":{"name":"2018 International Conference on Information Technology (ICIT)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132517035","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: 22

Design of A Pedagogical Framework for Configuration, Execution and Analysis of Distributed Programs 分布式程序配置、执行与分析教学框架的设计

2018 International Conference on Information Technology (ICIT) Pub Date : 2018-12-01 DOI: 10.1109/ICIT.2018.00028

K. Bairagi, Ratnadeep Dey, P. K. Das

{"title":"Design of A Pedagogical Framework for Configuration, Execution and Analysis of Distributed Programs","authors":"K. Bairagi, Ratnadeep Dey, P. K. Das","doi":"10.1109/ICIT.2018.00028","DOIUrl":"https://doi.org/10.1109/ICIT.2018.00028","url":null,"abstract":"In distributed system it may pose some problems to visualize the exact nature of functioning and the sequence of events in various nodes of the said system and such insights are essential to comprehend and analyze the behavior of different algorithms executing in different nodes of the system mentioned. This paper describes a framework that has been implemented to help visualize and analyze the working behavior of various algorithms on distributed system. Using this platform it is possible for students and researchers to gain insight into the working of various nodes of a distributed system, check their interactions at run time and thus to test different algorithms in a simulated as well as actual environment. The framework lets the student to check the behavior of certain standard built-in distributed algorithms, viz., Leader Election using Bully and Ring Algorithms, Ricart-Agrawala's Mutual Exclusion Algorithm and Chandy-Mishra-Hash deadlock detection algorithm. The users can also write their own algorithms and use a program generator module to generate programs for different nodes using this framework. Subsequent to the execution, a graphical analyzer module aids the user by showing the execution behavior of the algorithm using a space-time graphical diagram that makes use of Lamport's Time Stamping algorithm. The framework provides built-in system-level supports to facilitate exclusive access to shared resources and detects distributed deadlock also.","PeriodicalId":221269,"journal":{"name":"2018 International Conference on Information Technology (ICIT)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130145344","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: 0

Establishing Correlation Between Structural and Spectral Property in K-Shell Structure 建立k -壳结构的结构与光谱性质的关系

2018 International Conference on Information Technology (ICIT) Pub Date : 2018-12-01 DOI: 10.1109/ICIT.2018.00030

Debasis Mohapatra, Soubhagya Ranjan Pradhan, Hahnemann Lenka, R. Tripathy, Anjana Panda, Monalisa Sethy

引用次数: 3

H-RAN: An Approach Toward Cloud-RAN Load Balancing H-RAN:一种云- ran负载平衡方法

2018 International Conference on Information Technology (ICIT) Pub Date : 2018-12-01 DOI: 10.1109/ICIT.2018.00052

Byomakesh Mahapatra, A. K. Turuk, N. Ray, Awaneesh Kumar Yadav

{"title":"H-RAN: An Approach Toward Cloud-RAN Load Balancing","authors":"Byomakesh Mahapatra, A. K. Turuk, N. Ray, Awaneesh Kumar Yadav","doi":"10.1109/ICIT.2018.00052","DOIUrl":"https://doi.org/10.1109/ICIT.2018.00052","url":null,"abstract":"The centralized cloud radio access network (C-RAN), change the BS architecture to a large extent, in term of associated cost and coverage. The main limitations of C-RAN architecture is that it has a centralized processing unit, which increases the network latency by increasing the service waiting time. The proposed Heterogeneous Radio Access Network (H-RAN) consist of some Edge node and local processing unit (LPU) which resides in remote radio head (RRH). This introduction of enhanced RRH (eRRH) node increases the capacity of the network and decrease the network latency, on the other hand its also share the computing and controlling task of the centralized BBU. The proposed LPU unit consists of a number of small VB which generally handle real-time computing and processing task. In the first section of this paper, we have proposed a new RAN architecture and all the load balancing condition are represented through a detail mathematical model. The paper also present a load-aware dynamic BS switching algorithm (LDBSS) for power optimization and load balancing. The simulation work is carried out with the help of CloudSim 3.0.3 simulator by considering equal number of packet arrival for both C-RAN and H-RAN. The simulated result shows that with the introduction of the middle Edge layer and LPU at the RRH reduces the waiting time and blocking probability of the network as compared the C-RAN architecture.","PeriodicalId":221269,"journal":{"name":"2018 International Conference on Information Technology (ICIT)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133597860","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: 0

Predicting Malarial Outbreak using Machine Learning and Deep Learning Approach: A Review and Analysis 使用机器学习和深度学习方法预测疟疾爆发:回顾和分析

2018 International Conference on Information Technology (ICIT) Pub Date : 2018-12-01 DOI: 10.1109/ICIT.2018.00019

Godson Kalipe, V. Gautham, Rajat Kumar Behera

{"title":"Predicting Malarial Outbreak using Machine Learning and Deep Learning Approach: A Review and Analysis","authors":"Godson Kalipe, V. Gautham, Rajat Kumar Behera","doi":"10.1109/ICIT.2018.00019","DOIUrl":"https://doi.org/10.1109/ICIT.2018.00019","url":null,"abstract":"In the present era of information, data has revealed itself to be more valuable to organizations than ever before. By applying machine learning and deep learning approaches to historical or transactional data, we are now able to derive new ground breaking insights helping us to make better informed decisions and adopt the best strategies in order to face the events that are likely to happen in the future. In this paper, we have not only sought to establish a relationship between climatic factors and a possible malarial outbreak but we also tried to find out which algorithm is best suited for modeling the discovered relationship. For that purpose, historical meteorological data and records of malarial cases collected over six years have been combined and aggregated in order to be analyzed with various classification techniques such as KNN, Naive Bayes, and Extreme Gradient Boost among others. We were able to find out few algorithms which perform best in this particular use case after evaluating for each case, the accuracy, the recall score, the precision score, the Matthews correlation coefficient and the error rate. The results clearly implied that weather forecasts could be legitimately leveraged in the future to predict malarial outbreaks and possibly take the necessary preventing measures to avoid the loss of lives due to malaria.","PeriodicalId":221269,"journal":{"name":"2018 International Conference on Information Technology (ICIT)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132858566","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: 25