In recent years more and more focus has been placed on the environmental aspects of ships, because of the great attention to exhaust gas emissions from ships including CO2, a leading contributor to Green House Gasses (GHG) emissions, due to their negative effect on global warming. Maritime transport has clear environmental advantages: it expends relatively little energy and its infrastructure requirements are small compared to land-based transport modes. Due to low energy need, shipping is a highly carbon-efficient transport mode, i.e. carbon dioxide emissions are low compared to the weight of cargo transported. Shipping can be up to four times more efficient than road transport. Because of relatively small contribution to greenhouse gas emissions shipping is also good in the terms of mitigation of climate change. However, air pollution from ships has been unregulated until recently. Ships currently produce about half as much sulphur oxides (SOx ) as land-based sources and about a third as much nitrogen oxides (NOx ). Ships emit several hazardous air pollutants such as sulphur dioxide, nitrogen oxides and fine particles. Once emitted, airborne emissions can travel considerable distances so the shipping emissions affect land air quality. Also the emissions from ships during port stays can be substantial contributor to the local air quality. Thus,this report describes the different exhaust gas emission products, their untoward effects and the various ways in which it can be mitigated.

Competition in an increasingly global and marketing has created new techniques of Maintenance in order to upkeep their performance in terms of quality, productivity and cost. One such recent technique is condition monitoring. Condition monitoring is nothing but checking the condition of the machine by using parameters like vibration. The detection of incipient faults in machinery is very important in achieving unhindered production in any plant. Condition monitoring if properly used can indentify most if not all of the factors limiting the effectiveness and efficiency of the total plant. One of the most promising techniques of condition monitoring is based on the analysis of vibration signals. In this work vibration is selected as the parameter to assess the health of Dump Mill of a Banbury machine in a tyre manufacturing industry. In most of the cases bearing points were selected to assess the vibration level. The normal level was fixed from the Manuals, Manufacturers Catalogues and some Standards of Vibration. The vibration data were taken from the machines with the help of Rio-Vibro Meter in different location and analysis carried out in order to find the defective components in the machine and the corrective actions were also proposed at the end.

Competition in an increasingly global and marketing has created new techniques of Maintenance in order to upkeep their performance in terms of quality, productivity and cost. One such recent technique is condition monitoring. Condition monitoring is nothing but checking the condition of the machine by using parameters like vibration. The detection of incipient faults in machinery is very important in achieving unhindered production in any plant. Condition monitoring if properly used can indentify most if not all of the factors limiting the effectiveness and efficiency of the total plant. One of the most promising techniques of condition monitoring is based on the analysis of vibration signals. In this work vibration is selected as the parameter to assess the health of Dump Mill of a Banbury machine in a tyre manufacturing industry. In most of the cases bearing points were selected to assess the vibration level. The normal level was fixed from the Manuals, Manufacturers Catalogues and some Standards of Vibration. The vibration data were taken from the machines with the help of Rio-Vibro Meter in different location and analysis carried out in order to find the defective components in the machine and the corrective actions were also proposed at the end.

Cloud computing enables highly scalable services to be easily consumed over the Internet on an as-needed basis. A major feature of the cloud services is that users’ data are usually processed remotely in unknown machines that users do not own or operate. While enjoying the convenience brought by this new emerging technology, users’ fears of losing control of their own data (particularly, financial and health data) can become a significant barrier to the wide adoption of cloud services. To address this problem, in this paper, we propose a novel highly decentralized information accountability framework to keep track of the actual usage of the users’ data in the cloud. In particular, we propose an objectcentered approach that enables enclosing our logging mechanism together with users’ data and policies. We leverage the JAR programmable capabilities to both create a dynamic and traveling object, and to ensure that any access to users’ data will trigger authentication and automated logging local to the JARs.

Heating, ventilation and air conditioning (HVAC) will account major portion of the money spent by any organization on the energy. The small adjustments in the HVAC systems will improve the building internal environment and can save energy utilized by the HVAC system, hence we can save money. Improvement of the energy efficiency will benefit in profitability of the organization. HVAC System is more frequently applied in industrial facilities as well as in living compounds and offices. Fully automatic control of these systems is impossible to avoid while going to save the energy cost. Basic parameter of air that needs to be monitored and regulated is temperature. The inside air temperature depends on the outside air temperature, mechanical Infrastructure and occupancy in the zone. For this reason it is necessary to produce a control technique capable of monitoring and controlling the temperature. By using the signals given by the sensing elements such as sensors, control system will perform full automatic control of HVAC system by comparing the current temperature with temperature defined in the Building Management system hence regulate the flow of chilled air into the zone by adjusting the Variable air volume throttle which acts as a gate to the chilled air into the specified zone. Hence we can maintain desired comfort level inside the building. The zone control will allows user to maintain different temperature in different zone. Hence can save chilled water flow into the building, which will result in less load on chiller. Hence we can some amount of energy which consumed by the chiller, so we can reduce the cost which is spent on the energy.

The traffic security on roads is critical for the proficient activity of the regional framework, and there is an intimate connection between traffic states and crashes on freeways, and the event of accidents might be affected by the cooperation of various blends of traffic states upstream and downstream of the accident area. In light of the accident information and the comparing traffic stream finder information gathered on freeways in Shanghai, this investigation proposes a half and half model joining a support vector machine (SVM) display with a k-means bunching calculation to foresee the probability of accidents. The Random Forest (RF) display is utilized to choose the critical and noteworthy factors for model development from the information of the traffic stream 5– 10 min before the accident happened. At that point, the cross-approval and transferability of various models (SVM demonstrate without variable choice, SVM display with variable determination, and a half and half SVM show with variable choice) are resolved to utilize 577 accidents and 5794 coordinated non-crash occasions. The results show that the mishap figure show close by the four most fundamental variables picked using the RF model can get an alluring desire execution for mishaps. With the blend of the clustering computation and SVM illustrate, the precision of the mishap desire model can be as high as 78.0%. Additionally, the outcomes of the transferability of the three exceptional models propose that the variable assurance and gathering estimation both have use for mishap desire.