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Risk Management in PPP Project at Construction
Nihit Chandra Srivastava ; Alvin Harison
Civil Engineering
Year: 2016, Volume:3, Issue : 2
Pages: 175 - 177
Construction projects are experiencing several problems, these are related tonon-standard demonstrate financing in country. During and after modulation period, unexploited duration, insufficient but before all obsolete public private partnership project in India became an requisite problem for further development of main economic resources like as (transportation resources, agriculture resources, mining resources, tourism resources etc.). The Public project partnership network is requirement for the development of different sphere (gumption, agriculture area, industry and commerce etc.). The risk analysis of potential elements, throughout the processes from command to operational public private partnership projects, is one of the most important elements to expand profit and functionality in Indian industries or firms, and the educated country infrastructure construction and public private partnership, while solving potential problems that may create. Much of the risk of a PPP project creates from the complexness of financing, taxation, law regulative, acquired technical certification and construction process involved in a major construction venture. Main risks, their study and management on public private partnership projects are elaborate in this paper. After risk analysis, risk management model are represent for solving risks on PPP projects in India. To investigate critical risks associated with Build Operate Transfer projects in India is main purpose of this paper.
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Zigbee based Landslide Detection and Monitoring System
Vrushali G Hadole ; Prof. V. G. Puranik
Electronics and Telecommunication
Year: 2016, Volume:3, Issue : 2
Pages: 178 - 182
Mass failures of slope, includes movement in soil, rock which cause a considerable damage to the natural habitat, environment, economy and other resources. Detection, monitoring and control are the three major issues regarding Real-Time applications. . In this project we are implementing with development hardware which contains an accelerometer sensor which means MEMS sensor and other environment monitoring sensors like Ultrasonic sensors. The details are monitored and send through wireless communication module Zigbee to Another node called as access point which receives the alert message from land slide detector and enables a voice for alarming civilians. Continuous monitoring enables pre detection of landslide. Also it is able to gather other details like the rate of land slide etc.
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Improved Cardinality Estimation using Entity Resolution in Crowdsourced Data
Indulakshmi K R ; Preethymol B ; Silja Varghese
Computer Science and Engineering
Year: 2016, Volume:3, Issue : 2
Pages: 183 - 187
Crowdsourcing platforms adopt the new Labour as a Service model and allow for easy distribution of small tasks to a large number of workers. Crowdsourced systems introduce the open world model of databases. In the open world model, the database is considered to be incomplete and data needs to be collected in real time. For enumeration queries, the cardinality estimation of crowd collected data determines the query progress monitoring. A statistical tool is proposed to estimate the cardinality which enables users to judge the query completeness of crowdsourced data. Moreover, the crowdsourced database contains the records representing the same real world entity. A hybrid human-machine approach is proposed in which machines first, coarse pass over all the collected data, and crowd workers verifies only the most likely matching pairs. The entity resolution merges the duplicate records and hence can improve the cardinality estimation.
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Enhancement in Boosting Efficiency via Feature Selection and Clustering of Input Dataset
Dincy George ; Naveen Raja S M ; Hafzal Rahman M J
Computer Science and Engineering
Year: 2016, Volume:3, Issue : 2
Pages: 188 - 191
Learning is an inevitable aspect in the field of Artificial Intelligence. Supervised learning systems are of great importance in current era. Boosting is an iterative technique for improving the predictive accuracy of such systems. It works by learning multiple functions by considering the output label of previous function as the base of succeeding one. Real world data sets still have issues while dealing with label noise and over fitting in case of complex datasets. To mitigate this issue the datasets are being clustered together using efficient algorithms. The dataset is being grouped together by combining the most similar member data. This clustered data set is then integrated together to the boosting process. Thus it improves predictive accuracy and lessens over fitting. This work first analyses the variation in predictive accuracy of popular boosting techniques with clustered and non-clustered data sets. After the analysis, a feature selection based approach is proposed to mitigate the identified issues is proposed which can enhance the efficiency of the system in the aspects of both time and memory.
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Design, Analysis and Validation of Conceptual Bricks Handling Trailer
Vinod Hiwase ; Prof. R. R. Gandhe
Mechanical Engineering Design
Year: 2016, Volume:3, Issue : 2
Pages: 192 - 203
Nowadays, construction industry is on a boom. Almost everywhere one can find some kind of construction work in progress. At every construction site bricks are required. For normal wall construction bricks are must have. Bricks are of vital importance in construction. To provide bricks in time at the construction site and that too without damage is still a challenge in India. But manually handling these bricks cause workers to suffer from back injury and long-term pain if regularly lifting/carrying heavy or awkward objects. So, the palletizing and mechanization of the bricks is suggested so as to reduce the human injury and to increase the productivity and profitability.
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Users Activity based Recommendation Systems and Efficient Data Sharing in Social Networking Services
Lighitha K R ; Silja Varghese; Blessy Joy
Computer Science and Engineering
Year: 2016, Volume:3, Issue : 2
Pages: 204 - 208
Online social networking sites like, Facebook, Google and Twitter are suggested to share their public and personal information and make social relationship or connection with individual or people who can be even strangers. Existing social networking facilities recommends friends to users based on their social graphs, which might not be suitable to reflect a user’s preferences on friend selection in their real life. In this system, human interest based friend recommendation system for social networks, which recommends friends to users based on his/her life styles instead of their social graphs and determine life styles of users from user-centric sensor data and measures the comparison of life styles between users and this scheme recommends friends to users if their way of lifestyle has high similarity. Social networking sites also include sharing of files or data among the users or group of users. Data sharing is not easier and an accurate analysis on the shared data provides more benefits to both the society and individuals. Data sharing with a large number of participants must take into account many issues, that is efficiency, data integrity and privacy of data owner. Also ranking is done based on searching of users profile information. Finally, this system also take part a feedback mechanism to improve the users satisfaction and recommendation accuracy.
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Enhanced SWASP Algorithm for Mining Associated Patterns from Wireless Sensor Networks Dataset
Surya S ; Mary Mareena P V; Dr. S Dhanabal
Computer Science and Engineering
Year: 2016, Volume:3, Issue : 2
Pages: 209 - 214
A Wireless Sensor Network are successfully deployed for various applications such as low cost area monitoring, environment monitoring, industrial and machine health monitoring, and military surveillance and they are spatially distributed autonomous sensors to monitor conditions such as physical and environmental. WSNs generate a large amount of data streams. Mining useful information from these data stream is a challenging task. Many algorithms have been proposed to extract the useful knowledge from sensor data and the widely used algorithm is Associated Sensor Pattern and compact tree structure, called Associated Sensor Pattern tree which uses pattern growth-based approach to generate all associated patterns with only one database scan over dataset. But when data stream flows through associated sensor pattern may fail to capture the significance of recent data. To overcome this limitation Associated Sensor Pattern tree is further enhanced to Sliding Window Associated Sensor Pattern tree by adopting sliding observation window and updating the tree structure accordingly and a mining algorithm Sliding Window Associated Sensor Pattern is used to mine recent associated patterns. But the limitation of Sliding Window Associated Sensor Pattern is that it takes too much time to mine associated patterns for large dataset. To enhance the performance of this algorithm, the dataset is partitioned into different sub parts and by using this partitioned dataset the Sliding Window Associated Sensor Pattern algorithm are run parallel by using multithread concept. And this enhanced algorithm reduces the total execution time and also increases the memory efficiency.
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Experimental Study on Double Basin Solar Still with Evacuated Tubes and Reflector
Renuka R. Deshmukh ; Dr. K. P. Kolhe
Mechanical Engineering
Year: 2016, Volume:3, Issue : 2
Pages: 215 - 220
In this study the double basin with the size of 1000mm×330mm×380mm and 1000mm×590mm×310mm are used. This basin type solar still is a simplest method to produce clean potable water. Distillation is a technology to develop by using solar still. The natural water cycle is a type of distillation. In this project work, the experiments are carried out at different constant input conditions by maintaining a constant depth of water. Hourly inner as well as outer glass temperature, ambient air temperature was recorded during clear sunny days of Nagpur. The variation in production rate of different parameters has been analyzed. It is observed that the production rate increases by coupling evacuated tubes and reflector. The difference in rate of productivity of single and double basin is observed. The payback period for solar still is 137days.
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Efficiency Server Privacy on Location based Query
Dr. Kopparthi Suresh ; P. Subbaraju; D. Ratnagiri ; P. Nagaraju
Computer Science and Engineering
Year: 2016, Volume:3, Issue : 2
Pages: 221 - 226
The Present’s modern world, it is very facile for a person to ken his/her location with the avail of contrivances having GPS facility. When user’s location is provided to LBS, it is possible to user to ken all location dependent information like as location of friends or Most Proximate Restaurant, whether or traffic conditions. The massive utilization of mobile contrivances pave the way for the engenderment of wireless networks that can be habituated to exchange information predicated on locations. When the exchange of location information is done amongst entrusted parties, the privacy of the user could be in deleterious. Subsisting protocol doesn’t work on many different mobile contrivances and another issue is that, Location Server (LS) should provide illuding data to user. So we are working on enhancement of this protocol.
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Internet of things: Privacy & Security Issues
Khushboo Nitesh Desai
Computer Engineering
Year: 2016, Volume:3, Issue : 2
Pages: 227 - 230
The Internet of Things is emerging as the third wave in the development to the internet. Internet of things (IOT) is expected to have a massive impact on consumer products, business and wider culture, but these are still early days[1]. The Internet of Things (IOT) describes a worldwide network of intercommunicating devices. It integrates the ubiquitous communications, pervasive computing, and ambient intelligence. The Internet of Things paradigm envisions the pervasive interconnection and cooperation of smart things over the current and future Internet infrastructure. The Internet of Things is, thus, the evolution of the Internet to cover the real-world, enabling many new services that will improve people’s everyday lives, spawn new businesses and make buildings, cities and transport smarter. This paper analyses the privacy and security issues in the Internet of Things in detail. To this end, we first discuss the evolving features and trends in the Internet of Things with the goal of Scrutinizing their privacy implications. Second, we classify and examine privacy threats in this new setting, pointing out the challenges that need to be overcome to ensure that the Internet of Things becomes a reality.
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Abstract
