{"title":"The Model for Determining Weight Coefficients of Maintainability Criteria in Agile Software Development Process","authors":"Parita Jain, Arun Sharma, Laxmi Ahuja","doi":"10.1109/IoT-SIU.2019.8777609","DOIUrl":"https://doi.org/10.1109/IoT-SIU.2019.8777609","url":null,"abstract":"In today's era, quality of the product is very important. This allows customers to adapt the product easily and quickly. The agile methodology is one of the most adopted methodologies for software development. At the same time, there are no defined models for the quality measurement in agile approach. The paper presents a model for estimating the maintenance value for any project developed in agile environment, as maintainability of the software product plays a vital role for defining quality of the product. For determining the weight values for each selected maintainability criteria, SWARA a decision making approach is used. The results allow determining the maintenance estimated value for any product developed using agile software development process.","PeriodicalId":144663,"journal":{"name":"2019 4th International Conference on Internet of Things: Smart Innovation and Usages (IoT-SIU)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127370949","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}
{"title":"Baseline correction of ECG using regression estimation method","authors":"J. Rahul, Marpe Sora, L. Sharma","doi":"10.1109/IoT-SIU.2019.8777622","DOIUrl":"https://doi.org/10.1109/IoT-SIU.2019.8777622","url":null,"abstract":"The presence of baseline wander in ECG signal severely affects the quality of ECG signal. Baseline wander is generally eliminated at the initial stage of preprocessing of ECG signal. In this paper a method using regression estimation is applied to ECG signal to remove the baseline wander. This method uses two stage median filter and regression estimation for smoothing and correction of baseline. The cross correlation is performed between the baseline wander containing ECG signal with corrected ECG signal. Then cross-correlation coefficient is calculated. The method evolves with the lowess and loess of local regression estimation, rlowess and rloess of robust local regression estimation. We found highest coefficient of 0.9914 for the baseline wander amplitude of 0.5mV using local regression method (lowess) and lowest coefficient of 0.9688 for the amplitude of 0.8mV using robust local regression method (rlowess). Further this method is validated on MIT-BIH, Noise Stress Test Database (NSTD).","PeriodicalId":144663,"journal":{"name":"2019 4th International Conference on Internet of Things: Smart Innovation and Usages (IoT-SIU)","volume":"223 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126015425","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}
{"title":"Defending DDoS against Software Defined Networks using Entropy","authors":"Rochak Swami, M. Dave, V. Ranga","doi":"10.1109/IoT-SIU.2019.8777688","DOIUrl":"https://doi.org/10.1109/IoT-SIU.2019.8777688","url":null,"abstract":"Software defined networking (SDN) has gained the attention of many researchers and networking data centers. SDN provides flexibility and programmability to the network which makes it easy to adapt the changes. As SDN controller has a centralized visibility to the complete network topology, it may be targeted by the attackers. By breaking the integration of forwarding and routing rules in a single device, it offers cost-efficient networking services. However, SDN may suffer from various types of Distributed denial of service (DDoS) attacks. DDoS can disturb the complete network functionality by consuming resources and processing power of controller. Some researchers have designed many efficient defense mechanisms recently. In this research work, entropy which is used to compute the randomness of any event is utilized to detect the DDoS attacks. The attack detection module is implemented in POX controller which monitors the statistics of all the incoming flows. The suggested entropy based detection offers to identify the attack in a short duration and gives a fast response.","PeriodicalId":144663,"journal":{"name":"2019 4th International Conference on Internet of Things: Smart Innovation and Usages (IoT-SIU)","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127342256","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}
{"title":"Detecting and Reporting Forest Fire through Deployment of Three Dimensional Multi-sink Wireless Sensor Network","authors":"Moumita Ghosh, R. Sushil, Kaushik Ghosh","doi":"10.1109/IoT-SIU.2019.8777485","DOIUrl":"https://doi.org/10.1109/IoT-SIU.2019.8777485","url":null,"abstract":"Forest fires are common in the winter months across the world. An apt forest fire detection technique is required to check the spreading of fire and reduce the degree of loss thereby. In this paper we have proposed an energy efficient forest fire detection and reporting technique through three dimensional deployment of multi-sink wireless sensor network. The scheme may be used in event driven, time driven or a proposed hybrid mode. The results of the proposed scheme have been compared with 3 dimensional versions of some of the very well-known routing protocols for sensor networks.","PeriodicalId":144663,"journal":{"name":"2019 4th International Conference on Internet of Things: Smart Innovation and Usages (IoT-SIU)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130100361","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}
{"title":"Smart Kitchen with New Measurement, Web and Application Based with Affordable Design","authors":"Arvind Arya, Akash Taliyan, Pradeep Chauhan, Anju Gautam","doi":"10.1109/IoT-SIU.2019.8777488","DOIUrl":"https://doi.org/10.1109/IoT-SIU.2019.8777488","url":null,"abstract":"The world is moving with rapid growth of technology. Everything is going to be automated and smart and is in one click. Kitchen is very important part of our house which highlight the beauty of our house and it is the area for improvement in the field of smart and automated. This paper deals with the measurements of ingredients of Kitchen in a smart manner with new and attractive design and it should be or must be control by an android application or website at any time at any place. New Technology changes the architecture of kitchen as well as changed the method of putting out ingredients with safety sensors for kitchen as well as users. The sensors are being used to calculate amount of the ingredients and controlled by raspberry pi. All the activities will handle by an application or website with collection of data. Level of will check at specific time and will give order at nearby stores. Lights will control according to the user by heat sensor.","PeriodicalId":144663,"journal":{"name":"2019 4th International Conference on Internet of Things: Smart Innovation and Usages (IoT-SIU)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131586366","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}
{"title":"Energy conservation and Missing value prediction model in Wireless Sensor Network","authors":"Aditya Rawat, Akash Gupta, A. Singh, S. Bhushan","doi":"10.1109/IoT-SIU.2019.8777480","DOIUrl":"https://doi.org/10.1109/IoT-SIU.2019.8777480","url":null,"abstract":"In Wireless Sensor Network (WSN's) the dissipation of energy is a primary problem. WSN works on battery system therefore they have no alternate option of energy source once their battery is drained, only that the battery has to be replaced regularly in order to ensure their proper functioning which is not practically feasible. Another major problem of WSN's is that they may lose data over transmission. Data loss is a rare but an ever-present threat to data. Data loss is probably the most dangerous. Now, data transmission loss can occur in two situations: a) Data loss on the way from sensor nodes to cluster-head (CH) b) Data loss on the way from CH to sink. This paper tackles these two major problems and try to solve them using two independent data models, Dual Prediction Model (DPM) and Data Prediction Using Correlation (DPUC).","PeriodicalId":144663,"journal":{"name":"2019 4th International Conference on Internet of Things: Smart Innovation and Usages (IoT-SIU)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121141957","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}
{"title":"Filtering spam messages and mails using fuzzy C means algorithm","authors":"A. Singh, S. Bhushan, Sonakshi Vij","doi":"10.1109/IoT-SIU.2019.8777483","DOIUrl":"https://doi.org/10.1109/IoT-SIU.2019.8777483","url":null,"abstract":"Advancement in computer technology has changed the world in many different ways. Communication is just a click away with the power of internet. For effective, low cost and fast communication between people email plays a very important role and thus there is a great need of email services in daily life of users. From all the transactions to business or general communication these are done through the help of emails. But often the communication is effected by the attacks on the email system which include spam mails. Spamming is the use of messaging or electronic messaging system that send huge amount of data. Spam often fills the internet with multiple copies of a message and are sent to different recipients repeatedly without their request and urges to open them. In this paper we analyze different machine learning techniques with feature selection and without feature selection algorithms and their performance to detect the best classifier for spam mail classification. First, we apply each classifier without selecting any features in order to experiment on the dataset and examine the outcome. Next, to select the desired features we apply best first feature selection algorithm and apply various algorithms for classification. We found that the accuracy has improved when we applied feature selection process in the experimentation.","PeriodicalId":144663,"journal":{"name":"2019 4th International Conference on Internet of Things: Smart Innovation and Usages (IoT-SIU)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123136101","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}
Amitab Saxena, Kshitij Shinghal, Rajul Misra, A. Agarwal
{"title":"Automated Enhanced Learning System using IOT","authors":"Amitab Saxena, Kshitij Shinghal, Rajul Misra, A. Agarwal","doi":"10.1109/IoT-SIU.2019.8777711","DOIUrl":"https://doi.org/10.1109/IoT-SIU.2019.8777711","url":null,"abstract":"In current scenario engineering students are facing problems in grasping the subjects, henceforth level and quality of education is regularly declining. One of the probable cause of this decline in quality of education is students are not able to understand and comprehend the subject. A solution to this problem is proposed in this paper. It is based on the theory of three preferential learning style of an individual namely visual, auditory and kinesthetic (VAK Theory). So the present approach is based on classifying the students based on their learning styles and allotting them assignments as per their preferential learning styles accordingly. The proposed system put forwards an IOT based system which will automatically categorize students, keep the record of their performance, assignment, submission history etc. This will help in reducing manpower of faculty member and enhance the performance of students from 5 to 42 % by custom designing activities as per the innate learning style.","PeriodicalId":144663,"journal":{"name":"2019 4th International Conference on Internet of Things: Smart Innovation and Usages (IoT-SIU)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128456140","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}
Sidharth Sharma, Supankar Das, J. Virmani, M. Sharma, Satbir Singh, Amitava Das
{"title":"IoT Based Dipstick Type Engine Oil Level and Impurities Monitoring System: A Portable Online Spectrophotometer","authors":"Sidharth Sharma, Supankar Das, J. Virmani, M. Sharma, Satbir Singh, Amitava Das","doi":"10.1109/IoT-SIU.2019.8777703","DOIUrl":"https://doi.org/10.1109/IoT-SIU.2019.8777703","url":null,"abstract":"The paper describes the design and developmentof an IoT based oil impurities, level monitoring instrument and its operational methodology. The research work uses a unique approach with customized white LED spectrophotometry. The developed instrument has done Qualitative and Quantitative assessment of lubricant oil in IC engine's sump. This in turn is helpful in carrying out decisive task towards maintaining Engine life cycle and carbon footprint. Light-dependent sensor with sensitivity <90% and range 500-600nm is used as a detector for experimentation on four stroke IC Engine. The system has advantages of affordability and portable design.","PeriodicalId":144663,"journal":{"name":"2019 4th International Conference on Internet of Things: Smart Innovation and Usages (IoT-SIU)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131162071","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}
Pavi Saraswat, Kanika Garg, R. Tripathi, Ayush Agarwal
{"title":"Encryption Algorithm Based on Neural Network","authors":"Pavi Saraswat, Kanika Garg, R. Tripathi, Ayush Agarwal","doi":"10.1109/IoT-SIU.2019.8777637","DOIUrl":"https://doi.org/10.1109/IoT-SIU.2019.8777637","url":null,"abstract":"Security is one of the most important needs in network communication. Cryptography is a science which involves two techniques encryption and decryption and it basically enables to send sensitive and confidential data over the unsecure network. The basic idea of cryptography is concealing of the data from unauthenticated users as they can misuse the data. In this paper we use auto associative neural network concept of soft computing in combination with encryption technique to send data securely on communication network","PeriodicalId":144663,"journal":{"name":"2019 4th International Conference on Internet of Things: Smart Innovation and Usages (IoT-SIU)","volume":"190 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117346752","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}