A field experiment was carried out at Sam Higginbottom University of Agriculture, Technology and Sciences, Allahabad during Rabi season of 2016-17, to study agrometeorological indices and phenological behaviour of mustard (Brassica juncea) cultivars under different growing environments at Allahabad climatic conditions. The main plot treatments consisted three date of sowing (D1-25th October, D2-5th November and D3-15th November) and sub plot treatments consisted three cultivars (V1- Parasmani, V2- Varuna and V3- SRM 777) using split plot design. The results revealed that delayed sowing reduced the length of phenophases in all cultivars. The crop duration was shortest in 25th October as compared to 5th November and 15th November. Among cultivars, the total crop duration was longest in SRM 777 followed by Varuna and Parasmani. Among agrometeorological indices GDD, HTU and PTU requirement were higher in 25th October followed by 5th & 15th Nov. sown crop. In delayed sown crop, higher day and night temperature during reproductive phase leads to forced maturity and reduced the total GDD requirement. The crop sown on 25th October was most efficient in thermal and radiation utilization in comparison with delayed sown crop. Among the cultivars, SRM 777 consumed highest GDD at 25th October as compared to other cultivars and it delayed as per growing environment. 25th October is ideal planting window for increasing yield potential of mustard followed by 5th & 15th November due to efficient utilization of available resources.

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The IDPS uses a local computational grid to detect malicious behaviors in a real-time manner. In this paper, the system proposes a security system, named the Intrusion Detection and Protection System (IDPS for short) at system call level, which creates personal profiles for users to keep track of their usage habits as the forensic features. The proposed work is regarded with Digital forensics technique and intrusion detection mechanism. The number of hacking and intrusion incidents is increasing alarmingly each year as new technology rolls out. In this project, the system designed Intrusion Detection System (IDS) that implements predefined algorithms for identifying the attacks over a network. Therefore, in this project, a security system, named the Internal Intrusion Detection and Protection System (IIDPS), is proposed to detect insider attacks at SC level by using data mining and forensic techniques. The system can identify a user’s forensic features by analyzing the corresponding SCs to enhance the accuracy of attack detection, and able to port the IIDPS to enhance the time efficiency we are using a Hadoop for process big data and K-Means theory for classification and a parallel system to further shorten its detection response time.

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Supply chain Management is to manage to procure the raw material, to convert it in form of finished/ semi-finished goods & products and to distribute the finished product to the end users. In many cases it is observed that sub-optimization exists in Supply chain Management due to some non-value added activities in the procurement of raw materials, production process and in distribution of finished products. This can be avoided by the proper planning, execution and monitoring of the activities of supply chain. Recent development in managing the supply chain has attracted JIT as effective tool to remove unproductive inventories, better inventory control, quick responses, effective communication between suppliers & end users and optimization of use of human resources. The literature highlights the JIT capability to overcome the inherent problems of supply chain like; undermining of Inventory level, waste elimination, long term relationships, free flow of information and effective human involvement. Existing Supply chain of Indian industries faces the above mentioned problems. This research is to address the JIT initiative in supply chains in order to get competitive advantages by reducing efforts in controlling huge amount of inventories so that inventory handling costs & efforts related to inventory stocks can be eliminated. The attributes of JIT supply chain have been identified from the Literature review. Recognition of untouched/ less attended issues highlights the research direction. Finally two research questions were set up. The first one is to find out applicability of JIT in Supply chain& by replacing cumbersome conventional methods of Indian industries second is to explore performance of supply chain due to JIT. Survey of Industries is carried out to in many industries & firms & an attempt is done to find the solution of first question in terms of level of JIT, benefits, difficulties, importance and challenges of Implementation. It is found that applicability of JIT in SCM of Indian industries in terms of level, importance, benefits, problem solving and challenges are high. In second answer, the performance of Supply chain due to JIT has been explored in terms of performance of suppliers, manufacturers, distributors, information handling and Business. The raw material is supplied by the suppliers to the manufacturer and distributor facilitates the storage and delivery of finished product into the hands of the end users. As Just in time in supply chain highly improves total time of process, responsiveness, flexibility, quality, mutual coordination, information sharing and long term relationship. The mixed responses in survey of Indian industries also plead to explore the partial JIT application in supply chain. Indian industries are not fully ready to accept to implement all the attributes of JIT as in many industries still the conventional method of holding large inventories is used and they prefer to use them partially, so alternative of JSC. Hybrid Supply Chain (HSC) has been proposed as most suitable for Indian Industries.

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Now a day Automation is overhead. Everyone one move toward to Automation Machine. We try to reduce human effort more and more. Smart socket can be controlled remotely by power supplied, monitor utilization condition, communication network and other functions. So here we need a device which interactive, plug & play, no installation, without internet connection, less power consumption, so we develop W.I.S.E..

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A slurry mixture impellers are the most important part of thermal power plant. In this paper, Computational Fluid Dynamics (CFD) is carried out on the performance of slurry mixture blade. The performance is based on the pressure variation on the mixture blade. Computational investigation was conducted on blades with a linear velocity and density is 4 m/s and 1440 kg/m3 respectively. In the present work, analysis has done with two different material namely grey cast iron and nickel. The pressure was compared between these two materials. After calculating the result, we will suggest which material is good for impeller. The slurry impeller is modelled using CREO software and CFD analysis is carried out using ANSYS software. A k- ε turbulence model is used in CFD analysis. The model has been developed with actual geometric parameters.

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Marine propellers are one of the dominant noise sources for under water vehicles. Marine propeller is the one of the major source of noise in marine vehicle. Marine propeller is used to propel the body. Either this body could be a marine vehicle of submarine, ship, boat, torpedo etc. So in any vehicle which ever run on water they all use of this marine propeller. So marine propeller is one of the significant and major part in a water moving vehicles. The purpose of the propeller is to produce the thrust in order to move the body either in forward or backward direction. If the propeller takes the clockwise rotation then the vehicle gets move in forward direction and vice versa. This paper presents investigation of noise levels for non-cavitating turbulent flow around marine propeller by varying pitch angle of propeller using the Eddy Viscosity model of Large Eddy Simulation (LES) which is available in Ansys 16.2 version software. Behaviour of propeller is investigated for hydrodynamic parameters later subjected to Computational Acoustic Analysis (CAA) using Ffowcs Wiliams – Hawkings formulations (FW-H). The analysis is carried out by considering pressure based, unsteady formulation of second order implicit. Noise is predicted with time – domain acoustic analogy along with finite volume method. Sound pressure Levels (SPL) are predicted at fixed position of receiver and these results are verified with static analysis on propellers by performance characteristics.

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Centrifugal blower serves as the primary source of airflow & aero-acoustic noise. Present work focuses on the sources of noise in blower of HVAC. The main objective of the project is to design blower for improving their efficiency from an aeroacoustics point of view by modifying geometry in cut-off area. In this work different prototypes were made and then studied experimentally. The result shown that by making changes in geometry of cut-off area of blower, noise gets reduced.

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Global environmental concerns and the escalating demand for energy, coupled with steady progress in renewable energy technologies, are opening up new opportunities for utilization of renewable energy resources. Solar energy is the most abundant, inexhaustible and clean of all the renewable energy resources till date. The power from sun intercepted by the earth is about 1.8 × 1011 MW, which is many times larger than the present rate of all the energy consumption. Photovoltaic technology is one of the finest ways to harness the solar power. This paper reviews the photovoltaic technology, its power generating capability, the different existing light absorbing materials used, its environmental aspect coupled with a variety of its applications. In this paper discuss Gujarat solar plant (Harsha Abakus Solar Private Limited ) and energy audit in this plant.

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