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The great homework debate: Too much, too little or busy work? Photos: Parents grade their kids' homework: Too much or not enough? Hide Caption. Story highlights There homework too much or too little a sharp debate among parents about homework The National PTA composition dissertations 10 minutes of homework per night per grade level The research on the benefits of homework is mixed Giving students homework time at the end of school day helps, say students. Ask parents how they feel about homework, as we did on CNN's Facebook pageand the response is immediate and intense. So many parents from all over the country sounded off passionately, saying we expect too much, too little or the wrong things from young students.

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D: Appl. MIS structures, S. Bera, G. K Dalapati, D. Paramanik, S. Varma, P. Nayak, S. Varma, D. Paramanik and S. Sahu, Int. Chakraborty, S. Varma, S. Bhattacharya and C. Maiti, International. Further, we show that several problems like Dominating Set, In-dependent. Finally we give an FPT algorithm for. In the second part, we introduce three techniques to design non trivial exact algorithms and.

Our second tech-nique illustrates the idea of designing exact algorithms. Directed Trees with Many Leaves. SIAM J. Discrete Math. Furthermore, NC 2 itself contains a rich. The focus of this thesis is on logspace counting classes. The complexity of various natural. The results shown in this thesis. Some of the upper bound results obtained.

Arvind and T. The Savvidy vacuum in the Gaussian approximation. They lead to an. The stable modes are treated keeping terms. For the unstable modes, we consider the full action including. Then the effective energy density is found. The real one-loop effective energy.

The above procedure is extended to finite temperature. We have introduced a chemical potential. The exact treatment of. At high temperatures the behavior is that of a non-interacting relativistic. We find a deconfining transition at non-zero chemical potential at medium temperatures. The Schwinger-. Dyson integral equation for the quark propagator is converted to a differential equation in.

Feynman gauge. This equation is further modified to include the pion back-reaction correction. It is found that the pion back-reaction has a small effect on the dynamical. At the forefront of the present condensed. In this thesis we have studied polycrystalline three.

In these manganites the spectral. We have also. Pal, M. Dalai, B. Sekhar, I. Ulfat, M. Merz, P. Nagel, S. Ultra relativistic heavy ion collisions offer the unique opportunity to probe highly excited dense. One of the main driving forces for these studies. The task of ultra-relativistic. The nucleon-nucleon center of mass energy for collision of the heaviest ion Pb-Pb. Several signals of the. It will investigate the physics of strongly interacting matter at extreme energy density,.

The Muon Spectrometer. The mass resolution is determined by the precision. Muon Spectrometer consists of: a front absorber; 5 tracking stations each consisting of two. This has been realized by using Cathode Pad Chamber. The size of the muon tracking stations vary.

Mukhopadhyay, S. Pal, L. Paul, P. Roy, A. Sanyal, S. Sarkar, M. Sharan, P. Sen, S. Sen and S. Finck, L. Aphecetche, A. Barret-Ramillien, J. Beney, R. Berny, V. Das , I. Hrivnacova, B. Ky, Y. Le Bornec, F. Pal , Ch. Renard, S.

Herlant, F. Orsini, M. Arba, I. Atanassov, S. Basciu, C. Cicalo, D. Marras, E. Siddi and. Tuveri, P. Bhattacharya, S. Chattopadhyay, D. Das, S. Nikulin, E. Polyakov and V. Sarkar, P. Sen, M. The thesis work centers on the study of surface and interface modifications of nanostructured. Thin films of various thicknesses.

The ion beam flux and fluence. For Ag samples, the fluence values were varied. Irradiations were. Samples were then characterized by. This unusual mass transport has been found to be very sensitive. At the same fluence, the mass transport and the maximum transport depth are. In each case, the. The results are explained in light of recoil implantation and radiation.

The sputtering yield, the sputtered particle size distribution and the exponent values under. The sputtering yield is found to increase with. With an ion flux of 6. Ghatak and P. Satyam Nucl. B Satyam, Nanotechnology 19 ;. The subject of black hole entropy has been an interesting area of study both from the point of.

It serves as a tool to test the ideas of quantum gravity. The fact that black hole has temperature as well as entropy was discovered as a mere analogy,. It was later discovered by Waid that if the theory. With the knowledge that black hole has entropy, the question that imme-diately arises is that.

In string theory for a wide class of extremal black holes the statistical entropy matches with. For large horizon size which arises in the large charge limit the statistical entropy is. Given the successful matching in this limit one would like to ask if such a matching exists if. In the scenario where one deviates from the large. On the statistical side there is deviation from the Cardy formula which. The collaborative research projects that I had taken up analyzed the black hole side of the story.

There are a couple of techniques known in the literature to incorporate the effect of higher. Euclidean action formalism. For extremal black holes one can manipulate the Walds formula in. This leads to a set of algebraic equations for determining the near horizon field.

The value of the function at the. We use the entropy function formalism to resolve issues related to the entropy of black holes. There is a particular class of higher derivative terms known as the Chern-Simons terms, that. They were historically treated using the Euclidean action formalism. This gives a covariant Lagrangian from the non-covariant Chern-Simons. Hanaki et al and was used by A. The results matched with the earlier predictions confirming that the. It still. There were certain non-renormalization theorems by Krauss and Larsen which said that if the.

We wished to directly check these results using tree level effective ac-tion arising out of heterotic. At this order the standard definition of the We wanted to look at the origin of this non-renormalization theorem directly. From this we argued that the entropy is completely fixed by the coefficient of the gauge as. This thesis studies some combinatorial, topological and linear algebraic parameters associated. The first part describes a study of combinations of graph-theoretic or circuit-theoretic restrictions.

We first address the question of evaluating monotone planar. Using recent insights developed in the context of topological constraints in. Another contribution is that we are able to extend the. Exploring how topological restrictions interfere with those in circuit theoretic parameters, we. Motivated by applications in circuit complexity bounds, in the second part of the thesis we.

This problem, in general is. We study several restricted cases of the. For instance we prove. In particular, we prove complexity theoretic characterisations for. We next attempt to construct explicit matrices which have super-linear rigidity. In this setting,. Wethenstudy continuity properties of matrix. In the setting of the lower. To appear in Information Processing Letters, February Annual Report 51 7.

Annual Report 53 8. Annual Report 55 Annual Report 57 Spectrom. Annual Report 59 Annual Report 61 Annual Report 63 From thi. Annual Report 65 constant. Annual Report 67 Annexure. Annual Report 69 Annexure. Constituent Institutions CIs of the Institute 1. From the Director I am happy to write for the fourth annual report of the Institute and during this year, the Institute made further progress.

More students have completed their academic programmes and this includes fourteen students completing their Ph. Number of students admitted this year crossed It is encouraging to note that more and more engineering graduates are enrolling for Ph. Number of doctorates in engineering needed in India is many times of what is being produced. While looking towards increasing enrolments, the Institute is very conscious of quality of research output and overall knowledge base of research students.

Every student has to complete a Comprehensive General Examination as a part of requirements towards a Ph. This examination is meant for gauging the student's mastery of the discipline of research and also related disciplines. It is also serves as a diagnostic tool to identify weaknesses in the student's preparation for research with a view to assist the student in addressing the weaknesses. All the new institutes and universities will need faculty and the existing universities have to make all out efforts to increase their output of doctorates.

Constituent Institutions of our Institute are well placed to do their bit as they are well endowed with research infrastructure as well as faculty. To increase student enrolments, it is necessary to provide good hostel facilities.

The Government has sanctioned construction of a hostel to house students in Anushakti Nagar, Mumbai and it will help to increase annual intake of students to Ph. Indira Gandhi Centre for Atomic Research has also taken steps to increase infrastructure for accommodation for research students. Objective of the scheme is to encourage research at the interface of basic research and technology development and therefore, under this scheme, a student pursues research under the supervision of two guides, one having strength in basic research and the other in technology development.

Four students have been admitted. We expect to expand enrollments under the scheme in the years to come, as research at the interface is the key to accelerate pace of technology development. Annual Report Institute functioned as per the decisions taken by various bodies of the Institute.

Composition of various bodies is given in the Annexure The Annexure-2 lists the Standing Committees whereas the status of admissions during the year in various programmes in each CI is placed at Annexure The list of faculty is placed at Annexure The abstracts of the theses fulfilling all the formalities for the award of the Degree of the Doctor of Philosophy are placed at Annexure Tech theses fulfilling all the formalities for the award of the Degree of the Masters of Technology are placed at Annexure Summarized next are the decisions taken in the meetings of Council of Management and the Academic Council during the period of the report.

Following meetings of Council of Management CoM were held during the period: 1. Following meetings of Academic Council AC were held during the period: 1. Eighth meeting on June 28, Ninth meeting on February 18, Important decisions taken in these meetings are summarized below.

Important decisions taken in the meetings of the Advisory Committee 1. It advised that the gap areas in our knowledge base be identified and the research students be deployed to work on these areas. Baldev Raj to work out a mechanism by which the problem of identifying gap areas could be undertaken.

This would involve reaching out inter alia to specialist groups for plan projects and professional societies embedded in our units. It advised that the convocation may be held when there is a significant number of students for the award of degrees. Till that time degrees may be awarded by post. Important decisions taken in the meetings of the CoM Fifth meeting: July 14, 1. It also opined that any future undergraduate programme in Engineering should likewise be linked with Science.

With a view to promote further the linkages between Science and Engineering education, it opined that it would be advisable to have a common Board of Studies for undergraduate education in Science and Engineering. The procedures for declaring results of various programmes were approved. The authorities for signing mark sheets 4. The authorities for signing mark sheets and certificates for various programmes were identified. Formats of various Degree and Diploma Certificates were approved.

Amendments of Ordinances recommended by the Academic Council in its 7th meeting held on November 17, were approved. It was decided to seek the opinion of the Advisory Committee regarding the desirability and practicality of holding Convocation. Important decisions taken in the meetings of the Academic Council Eighth meeting: June 28, 1. The number of members and other terms and conditions of the proposed board to be the same as that of the existing Board of Studies.

Annual Report - 7 3. It was decided that, till the time the ordinances are drafted and approved, NISER may conduct academic programmes as per best practices for similar courses in the country. It was decided that the candidates possessing the degree of M. Such candidates generally will have to undertake one year course work in the Training School even if they are employees in a CI. The guidelines for exemption from part of the course work were outlined.

Minimum pass percentages for various courses were decided. It was decided that the M. It was decided to seek the CoM's advice on the question of desirability and practicality of holding Convocation Ninth meeting: February 18, 1. Rules were formulated with respect to carrying part of Ph.

Memorandum of Understanding with University of Virginia was approved. Video conferencing as a mode of conducting the viva-voce examination of Ph. Vinod K. Dinshaw Member Till Nov. Grover Prof. Balasubramanian Prof. Baldev Raj Prof. Dutta Prof.

Dipan Ghosh Prof. Kaw Prof. Jemmis Prof. Mohandas Prof. Venugopal Prof. Gangan Prathap Dr. Ramakumar Prof. Raychaudhuri Prof. Sahni Prof. Abhijit Sen Prof. Bikash Sinha Prof. Sunder Prof. Viyogi Prof. Badwe Member Since Dec.

Datar BARC 3. Avinash Khare IOP 6. Raychaudhari HRI 8. Gautam Menon IMSc Yakhmi BARC 3. Manchanda BARC 4. Life Sciences 1. Zingde TMC 3. Dattagupta SINP 5. Rita Mulherkar TMC 6. Seshadri BARC 7. Sathiyamoorthy BARC 5. Tiwari BARC 6. Suri BARC 7. Bhatia BARC 9. Varde BARC Sunder IMSc Convener 2. Kesavan IMSc 3. Adhikari HRI 4. Puri BARC 5. Ramanujam IMSc 6. Raghwendra HRI 7. Cowsik MU 8. Kohli BRIT 3. Subhash Chandra DAE 4. Mohandas TMC 2. Sainis BARC 3. Rajiv Sarin TMC 4. Srivastava TMC 5.

Badwe TMC 6. Parikh TMC 7. Jambekar TMC 8. Shobha Bhatia KEM 9. Avinash Supe KEM Grover Director Prof. Puri Dean Dr. Patel Associate Dean w. Ramaiah Finance Officer Shri D. Ramesh Administrative officer Till Padmanabhan Administrative Officer Since Apte - Life Sciences Prof. Dutta - Engineering Sciences Prof. Datar - Physical Science Prof. Abhijit Sen IoP Prof. Mohandas IMSc Prof. Kesavan - Mathematical Sciences Prof. Yakhmi Chairman 2.

Kailas Member 3. Choudhury Member 4. Chaplot Member 5. Jagtap Member 6. Sharma Member 7. Dhareshwar Member 8. Mittal Member 9. Sabharwal Member Srivenkatesan Member Sharma Member Chakravarthy Member Menon Member Datar Convener Chemical Sciences 1. Venugopal Chairman 2. Mukherjee Member 3. Kulshreshtha Member 4. Venkatramani Member 5. Sarkar Member 6. Narsimhan Member 7. Arunachalam Member 8. Meera Venkatesh Member 9. Manchanda Member Ramkumar Member Aggarwal Member Ghosh Convener Life Sciences 1.

Sainis Chairman 2. D'Souza Member 3. Seshadri Member 4. Sharma Member 5. Rajan Member 6. Hosur Member 7. Suri Chairman 2. Gantayet Member 3. Singh Member 4. Vijayan Member 5. Tiwari Member 6. Bhatia Member 7. Varde Member 8. Sathiyamoorthy Member 9. Suri Member Gupta Chairman 2. Shri S. Kotaiah Member 3. Gupta Member 4. Nath Member 5. Kukreja Member 6. Shri C. Navathe Member 7. Lodha Member 8. Roy Member 9. Sundar Chairman 2. Indira Member 3. Mohanakrishnan Member 4.

Arora Member 5. Nair Member 6. Tyagi Member 7. Sivaprasad Member 8. Subramanian Member 9. Saha Member Sai Baba Member Viswanathan Member Amarendra Convener Chemical Sciences 1. Gnanasekaran Chairman 2. Srinivasan Member 3. Koganti Member 4. Ganesan Member 5. Nagarajan Member 6. Kamachi Mudali Member 7. Anthonysamy Member 8. Kutty Member Annual Report - 21 9. Bharathi Member Viswanathan Convener Engineering Sciences 1.

Jayakumar Chairman 2. Chellapandi Member 3. Bhaduri Member 5. Sivaprasad Member 6. Anand Babu Member 8. Velusami Member 9. Rao Member Panigrahi Member Srivastava 3. Pal 4. Shri Subimal Saha 5. Shri Jayanta Chaudhuri 6. D Sarkar Convener, Engineering Sciences 7. Alok Chakraborty 8. Bhattacharya 9. Banerjee Barat Convener, Physical Sciences Pandit Jane Alam Tech: Master of Technology M.

Phil: Master of Philosophy M. Acharya R. Achutan P. Adhikari S. Agarwal S. Arunachalam J. Bajaj P. Banerjee Aparna 8. Banerjee Smt. Bharadwaj Smt. Chattopadhyay A. Chattopadhyay S. Chaurasia S. Das D. Dash S. Deo M. Ganguly R. Ghosh S. Ghosh Swapan Goswami A. Jaikumar Sunil Jain V. Jha S. Kalsi P. Kapoor Sudhir Kayasth S.

Krishnamurthy N. Kshirsagar R. Kulshreshtha S. Majumder C. Manchanda V. Meera Venkatesh Smt. Mohapatra P. Mukherjee S. Mukherjee T. Naik D. Naik P. Narasimhan S. Natrajan V. Nayak S. Padmanabhan P. Pal H. Palit D. Pathak P. Pandey A. Pandit Gouri G. Parathasarthy V. Pillai C. Priyadarshini Smt. Pujari P.

Ramakumar K. Rangarajan S. Reddy A. Sabharwal Sunil Samanta S. Sarkar S. Sinha P. Shashikala K. Shivanna K. Sudarshan V. Tomar B. Tripathi R. Tyagi A. Varshney Lalit Vatsa R. Velmurugan S. Venkataramani B. Venkateswaran G. Venugopal V. Yakhmi J. Engineering Sciences 1. Auluck S. Awasthi A. Badodkar D. Balasubramaniam R. Banerjee S. Bhatia M. Bidaye A. Chakraborty S.

Chattopadhyay J. Chkaravarthy J. Das R. Dey G. Dutta B. Gantayet L. Ghosh A. Ghorui Srikumar Gopika Vinod Grover R. Hubli R. Kain V. Kale G. Kapoor Rajiv 30 Annual Report - Kar D. Khan K. Krishnan J. Kulkarni U. Kutty T. Madan V. Maheswari N. Nagesh K. Nayak A. Pande D. Patankar V. Prasad G. Ramanathan S. Rami Reddy G. Ravindranath S. Roy S. Saravana Kumar U. Sathiyamoorthy D. Sengupta A. Using hard owl beforehand writing online lab top ghostwriters arguments facts college.

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Saba Zafar. SEPA is also tasked with the responsibility of allocating land for the purpose of waste management, and to carry out planning for the whole of Scotland. The European Waste Framework Directive was the basis on which all current laws on waste were founded in Scotland. The two principles governing this were firstly, human life and health should not be endangered by waste disposal and secondly, the environment should not be harmed by waste disposal.

This strategy set up a hierarchy for waste management in the following ascending order of preference: environmentally sensitive disposal — recovery including recycling, composting and energy recovery — reuse — and reduction of waste at source to be high on the agenda Slater and Gemmell In Scotland, the first waste Data strategy was implemented by SEPA in to provide a framework for the collection, validation, recording and reporting of waste data.

The Zero Waste Plan was established and work on the new strategy began in Some of these facilities have excellent, good, poor or very poor compliance ratings due to one fault or another, and these ratings are done annually. The data are presented in Tables 4 and 5 of Annex 1, and are summarised in Figure 2 for different waste categories and Figure 3 totals.

The location and size of the regions within Scotland are shown in Figure 4. Other regions produced relatively low quantities of total waste in The areas with high total waste should present good potential for renewable energy from waste, but to achieve that, the practical and financial constraints need to be studied. Referring to Figure 2, the waste from these areas are generated from household refuse, construction and demolition wastes from construction sites, industrial waste from manufacturing processes, and commercial waste from premises used wholly for trade, sports or recreation.

The distribution of waste categories is not the same for every region. This is influenced by the population density of each region. Areas with high population eg Aberdeen, Glasgow tend to have high levels of waste compared to areas with low population. Other regions from the map with large areas eg Highland do not record high levels of waste, since population density is low despite the large area.

Figure 4 shows that, construction and demolition waste is the dominant source, which is a consistent pattern through out Scotland. Some areas such as Edinburgh, Falkirk, and Moray show relatively low records of waste collected. This may be due to legislation or the waste generated in those areas being transported elsewhere.

The demand data for heat and electricity include energy used for space and water heating, and electricity supplies were mapped by Taylor et al. The data was obtained at 1 km resolution by disaggregating local gas and electricity consumption data DECC a. It is worth noting that in obtaining the data, the use of heat for cooking and industrial use was excluded but domestic and non-domestic heat demand datasets were determined separately due to the difference in method of obtaining the data.

The domestic and non-domestic dataset are then combined to give the total heat and electricity demand for each grid. From Figure 5, large cities with high population have the highest demand for heat and electricity. This is generally expected because the higher the population, the higher the demand. These models focused mainly on optimal locations rather than both optimal locations and capacity size, as these determine the supply pathway, but the recent model by Wang et al.

FIGURE 6: Model Framework General description of the model We can determine how much waste energy can contribute to heat and electricity using an optimization model which matches demand and supply. This model is a mixed integer program used to determine the optimal locations and capacity sizes of waste energy facilities in the supply chain, and is adapted from the model of Wang et al. It is run using data for the spatial aggregation of waste streams in Scotland. The utility of the model is for planning optimal location of waste energy facilities.

This is investigated by using the supply of waste energy for combined heat and power CHP in Scotland using the current electricity and heat demand data. This model should show that CHP cost is influenced directly by optimal location and price of electricity from energy Wang et al, The model works by using the spatial distribution of waste data for Scotland described in section 2. The optimization model is demand driven and it works by simulating waste energy supply to satisfy energy demand that is affordable Wang et al.

The model has an objective function, which defines the objective to be optimized, and constraints, which structure the relationships of the waste energy supply chain. Input in the CHP is waste energy and output is electricity and heat. This can be illustrated using a simple representation shown below.

This requires the use of CHP cost data and transport data, waste energy data and demand data described in section 2. Waste energy from CHP is transported to the demand region for supply as heat and electricity. The optimization model considers all the processes and considers that the regions with waste supply may not match those where the demand is greatest, and therefore also considers transportation costs.

Mathematical basis of the optimization model Optimization is the selection of a best element with regard to some criteria from a set of available alternatives. Optimization consists of maximising or minimizing a real function by systematically choosing input values from within the allowed set, and computing the value of the function. Hence for the first constituent, V is the waste energy from waste to CHP which has to be less or equal to the maximum waste energy for the region.

For other constituents, it has the same meaning since it will convert waste energy to heat and electricity. If CHP receive V amount of waste energy, it will generate efficiency Eg for 1tonne of waste energy, it will generate 0. If we have 1tonne, it will generate 0. This means that demand and supply can be satisfied. To ensure optimal satisfaction therefore, we must maximise cost. Assumptions and input parameters of the model This model aims to satisfy energy demand in the most cost effective way.

Waste material availability plays a major role in the energy supply chain, as the demand must always be met. In some cases, a small variation in waste material availability can influence the whole supply chain.

The model determines how supply can be met in the study area with an optimal cost and this includes the transportation cost to CHP, which can be affected by many factors such as climate, establishment fee, and transportation mode e. Wang et al, Combined heat and power CHP is the energy conversion technology chosen, because of its benefits economically and environmentally.

The technology for transporting electricity is a high voltage direct current transmission and the electricity demand data is taken from DECC a as described in section 2. Neglecting the existence of hidden costs is a drawback for the optimization model. The model can represent a range of energy conservation options, which will decrease the final energy consumption when energy prices escalate.

Another drawback arises when there is a need to keep the model size manageable by the absence of regional aspects and small variation in input parameters can lead to large variations in the solution even if the cost difference is very small Lehtila and Pirila With all the considerations made and all data collected, data analysis done, results can be seen in the next section. The optimal solution obtained is largely driven by the distribution of heat and electricity demand and the potential location of the CHP plants.

CHP is an efficient process that captures the heat that is a by-product of the electricity generation process and utilizes it as space heating. In table 3 below it can be seen that taking Aberdeen as an example, it should install a CHP capacity of 0. If CHP is to be deployed in a given area, the distance for transporting the waste to CHP plant needs to be considered. Waste energy to heat and electricity demand is matched using the optimization model to determine how much waste energy will contribute to heat and electricity demand.

The equilibrium is met where the quantity demanded is equal to the quantity supplied represented by the intersection of the demand and supply curves. The market equilibrium is a situation in the market where the quantity the consumers demand is balanced by the quantity that can be supplied Bosco et al. However, very large production plants require competitive production cost via economy of scale effects. This may be due to logistic reasons as the production plants are situated far from where waste is collected.

Negative social and environmental issues may pose problems as well. Such problems may result in road damage, noise, and pollutant emission increases. To handle these logistics, the optimal location and size of CHP should be determined with respect to waste material availability and demand area Wang et al. The size of CHP to be installed when compared with the demand for heat and electricity shows that the contributions of waste energy to heat and electricity demand are significant.

Such a contribution has implications for the Scottish energy strategy. The contribution of waste energy will be impacted by the distribution of waste energy and the pattern of electricity and heat demand. In large areas for instance Highland, the contribution of heat and electricity are the highest whereas in small regions like Moray the contribution is relatively small.

Since it is desirable for a country to have a diverse energy portfolio Andersen et al , if energy from waste is harnessed, it can contribute significantly alongside tidal, wind and wave energy for Scotland. From the table above, energy from waste municipal solid waste combustion contributed 18 MW of installed capacity for electricity; that is This result is from data for and a rise to In other words, the same amount of CO2 that would be released to the atmosphere through landfill of waste is the same given off if the waste is used to gain energy.

Considering the waste materials that can be utilized to produce energy is very crucial because not all waste materials are combustible Noor et al, and since no new fuel sources are used other than the waste that would otherwise be sent to landfills such as renewable sources e. Only combustible waste materials are fed into the combustion chambers at the power plant and burned while the heat released is used to produce steam, which turns a steam turbine to generate electricity www.

Figure 2 shows the waste generated in 32 Scottish local authorities in and household waste, that should be the predominant source for combustion into energy, ranks the third largest but construction and demolition, which contain so much non-combustible materials, rank the highest, so the results presented here represent a maximum theoretical potential not accounting for such limitations.

Hence it is important to have a diverse renewable energy portfolio. Mixed materials such as metals and plastics cause emissions when combusted, leading to concerns over waste to energy plants due to heavy metals and new pollutants such as ash formed during the process. Nonetheless, improvements in technology such as carbon sequestration, have helped mitigate these problems to the environment www.

From figure 12, we see the largest percentage of schemes under planning of onshore and offshore wind, and very little percentages on others. Municipal waste to energy has not been widely explored in Scotland, so much work needs to be done to harness the potential of waste to energy in Scotland. Chen et al. The impact of parameters such as energy recovery efficiency, carbon tax rates, calorific value, incineration costs and electricity price on the choice of treatment methods needs also to be analysed.

Eshet et al. Comparing the relative benefits and cost of incineration of waste with energy recovery and recycling or landfill of waste is crucial if any of the processes are to be harnessed. Holmgren and Henning compared the benefits of recycling or incineration with energy recovery for paper, PVC and PET and concluded that there could be more benefit to recycle such materials because of its low energy recovery and high carbon taxes but incineration in view of energy recovery is preferred because of low carbon taxes on them.

This therefore means that the choice for an appropriate method should depend on factors such as energy recovery efficiency of waste to energy facilities, carbon taxes, electricity price and profit of material recovery. Theoretically, absolute recycling is impossible because the 2nd law of Thermodynamics reveals that materials degrade as they are repeatedly recycled Chan et al, Therefore, depending on the value of the parameters, recycling and energy recovery should be integrated into waste management practise to derive all the benefits from waste as a resource.

Market penetration of renewable sources of energy is low, and this can be attributed to a large number of constraints including financial problems, regulations, technical issues, and lack of information, education and training. Waste should obviously be reduced, reused and recycled, but the residual waste could be used more effectively than the current practice of disposal in landfill.

Estimating methane production potential of an old municipal landfill. Journal of Solid Waste Technology and Management, 35 3 , pp. Renewable energy in Scotland. Renewable Energy Focus, 11 3 , pp. Assessing the potential for biomass energy to contribute to Scotland's renewable energy needs.

Biomass and Bioenergy, 29 2 , pp. Incorporation of surface carbon into hydrocarbons during Fischer-Tropsch synthesis: Mechanistic implications. Journal of Catalysis, 58 1 , pp. Price-capping in partially monopolistic electricity markets with an application to Italy.

Energy Policy, 54, pp. Bioreactor performance in anaerobic digestion of fruit and vegetable wastes. Process Biochemistry, 40 , pp. Refocus, 7 3 , pp. Tidal effect compensation system for point absorbing wave energy converters. Renewable Energy, 51, pp. Effect of pre-aeration and inoculum on the start-up of batch thermophilic anaerobic digestion of municipal solid waste.

Bioresource technology, 8 , pp. CHEN, C. Energy recovery or material recovery for MSW treatments? Resources, Conservation and Recycling, 74, pp. The costs of wind's variability: Is there a threshold? Electricity Journal, 18 1 , pp. Progress and recent trends in biofuels. Progress in Energy and Combustion Science, 33 1 , pp. Biomass resource facilities and biomass conversion processing for fuels and chemicals. Energy Conversion and Management, 42 11 , pp. Renewable energy and sustainable development: A crucial review.

A critical review of economic valuation studies of externalities from incineration and landfilling. Waste Management and Research, 23 6 , pp. Long-term wind resource and uncertainty estimation using wind records from Scotland as example.

Renewable Energy, 50, pp. Waste shows its potential. Sustainable Business, , pp. Strategic issues - Scotland. Environmental Law and Management, 19 6 , pp. Comparison between material and energy recovery of municipal waste from an energy perspective: A study of two Swedish municipalities.

Resources, Conservation and Recycling, 43 1 , pp. Accessed on 17th December Accommodating wave and tidal energy - Control and decision in Scotland. Ocean and Coastal Management, 65, pp. Sustainable development of hydropower and biomass energy in Turkey.

Energy Conversion and Management, 43 8 , pp. A methodology for equitable performance assessment and presentation of wave energy converters based on sea trials. Renewable Energy, 52, pp. KOSE, F. Analysis on meeting the electric energy demand of an active plant with a wind-hydro hybrid power station in Konya, Turkey: Konya water treatment plant. Renewable Energy, 55, pp. Reducing energy related emissions: Using an energy systems optimization model to support policy planning in Finland.

Energy Policy, 24 9 , pp. Economical considerations of renewable electric energy production-especially development of wave energy. Renewable Energy, 28 8 , pp. Recovering energy from waste in Sweden - A systems engineering study.

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Sarkar, M. Sharan, P. Sen, S. Sen and S. Finck, L. Aphecetche, A. Barret-Ramillien, J. Beney, R. Berny, V. Das , I. Hrivnacova, B. Ky, Y. Le Bornec, F. Pal , Ch. Renard, S. Herlant, F. Orsini, M. Arba, I. Atanassov, S.

Basciu, C. Cicalo, D. Marras, E. Siddi and. Tuveri, P. Bhattacharya, S. Chattopadhyay, D. Das, S. Nikulin, E. Polyakov and V. Sarkar, P. Sen, M. The thesis work centers on the study of surface and interface modifications of nanostructured. Thin films of various thicknesses. The ion beam flux and fluence. For Ag samples, the fluence values were varied. Irradiations were. Samples were then characterized by. This unusual mass transport has been found to be very sensitive. At the same fluence, the mass transport and the maximum transport depth are.

In each case, the. The results are explained in light of recoil implantation and radiation. The sputtering yield, the sputtered particle size distribution and the exponent values under. The sputtering yield is found to increase with. With an ion flux of 6. Ghatak and P. Satyam Nucl.

B Satyam, Nanotechnology 19 ;. The subject of black hole entropy has been an interesting area of study both from the point of. It serves as a tool to test the ideas of quantum gravity. The fact that black hole has temperature as well as entropy was discovered as a mere analogy,. It was later discovered by Waid that if the theory.

With the knowledge that black hole has entropy, the question that imme-diately arises is that. In string theory for a wide class of extremal black holes the statistical entropy matches with. For large horizon size which arises in the large charge limit the statistical entropy is. Given the successful matching in this limit one would like to ask if such a matching exists if.

In the scenario where one deviates from the large. On the statistical side there is deviation from the Cardy formula which. The collaborative research projects that I had taken up analyzed the black hole side of the story. There are a couple of techniques known in the literature to incorporate the effect of higher.

Euclidean action formalism. For extremal black holes one can manipulate the Walds formula in. This leads to a set of algebraic equations for determining the near horizon field. The value of the function at the. We use the entropy function formalism to resolve issues related to the entropy of black holes. There is a particular class of higher derivative terms known as the Chern-Simons terms, that. They were historically treated using the Euclidean action formalism. This gives a covariant Lagrangian from the non-covariant Chern-Simons.

Hanaki et al and was used by A. The results matched with the earlier predictions confirming that the. It still. There were certain non-renormalization theorems by Krauss and Larsen which said that if the. We wished to directly check these results using tree level effective ac-tion arising out of heterotic. At this order the standard definition of the We wanted to look at the origin of this non-renormalization theorem directly. From this we argued that the entropy is completely fixed by the coefficient of the gauge as.

This thesis studies some combinatorial, topological and linear algebraic parameters associated. The first part describes a study of combinations of graph-theoretic or circuit-theoretic restrictions. We first address the question of evaluating monotone planar. Using recent insights developed in the context of topological constraints in.

Another contribution is that we are able to extend the. Exploring how topological restrictions interfere with those in circuit theoretic parameters, we. Motivated by applications in circuit complexity bounds, in the second part of the thesis we.

This problem, in general is. We study several restricted cases of the. For instance we prove. In particular, we prove complexity theoretic characterisations for. We next attempt to construct explicit matrices which have super-linear rigidity. In this setting,. Wethenstudy continuity properties of matrix. In the setting of the lower. To appear in Information Processing Letters, February Annual Report 51 7. Annual Report 53 8. Annual Report 55 Annual Report 57 Spectrom.

Annual Report 59 Annual Report 61 Annual Report 63 From thi. Annual Report 65 constant. Annual Report 67 Annexure. Annual Report 69 Annexure. Constituent Institutions CIs of the Institute 1. From the Director I am happy to write for the fourth annual report of the Institute and during this year, the Institute made further progress. More students have completed their academic programmes and this includes fourteen students completing their Ph.

Number of students admitted this year crossed It is encouraging to note that more and more engineering graduates are enrolling for Ph. Number of doctorates in engineering needed in India is many times of what is being produced. While looking towards increasing enrolments, the Institute is very conscious of quality of research output and overall knowledge base of research students.

Every student has to complete a Comprehensive General Examination as a part of requirements towards a Ph. This examination is meant for gauging the student's mastery of the discipline of research and also related disciplines. It is also serves as a diagnostic tool to identify weaknesses in the student's preparation for research with a view to assist the student in addressing the weaknesses. All the new institutes and universities will need faculty and the existing universities have to make all out efforts to increase their output of doctorates.

Constituent Institutions of our Institute are well placed to do their bit as they are well endowed with research infrastructure as well as faculty. To increase student enrolments, it is necessary to provide good hostel facilities. The Government has sanctioned construction of a hostel to house students in Anushakti Nagar, Mumbai and it will help to increase annual intake of students to Ph.

Indira Gandhi Centre for Atomic Research has also taken steps to increase infrastructure for accommodation for research students. Objective of the scheme is to encourage research at the interface of basic research and technology development and therefore, under this scheme, a student pursues research under the supervision of two guides, one having strength in basic research and the other in technology development. Four students have been admitted. We expect to expand enrollments under the scheme in the years to come, as research at the interface is the key to accelerate pace of technology development.

Annual Report Institute functioned as per the decisions taken by various bodies of the Institute. Composition of various bodies is given in the Annexure The Annexure-2 lists the Standing Committees whereas the status of admissions during the year in various programmes in each CI is placed at Annexure The list of faculty is placed at Annexure The abstracts of the theses fulfilling all the formalities for the award of the Degree of the Doctor of Philosophy are placed at Annexure Tech theses fulfilling all the formalities for the award of the Degree of the Masters of Technology are placed at Annexure Summarized next are the decisions taken in the meetings of Council of Management and the Academic Council during the period of the report.

Following meetings of Council of Management CoM were held during the period: 1. Following meetings of Academic Council AC were held during the period: 1. Eighth meeting on June 28, Ninth meeting on February 18, Important decisions taken in these meetings are summarized below.

Important decisions taken in the meetings of the Advisory Committee 1. It advised that the gap areas in our knowledge base be identified and the research students be deployed to work on these areas. Baldev Raj to work out a mechanism by which the problem of identifying gap areas could be undertaken. This would involve reaching out inter alia to specialist groups for plan projects and professional societies embedded in our units.

It advised that the convocation may be held when there is a significant number of students for the award of degrees. Till that time degrees may be awarded by post. Important decisions taken in the meetings of the CoM Fifth meeting: July 14, 1. It also opined that any future undergraduate programme in Engineering should likewise be linked with Science.

With a view to promote further the linkages between Science and Engineering education, it opined that it would be advisable to have a common Board of Studies for undergraduate education in Science and Engineering. The procedures for declaring results of various programmes were approved. The authorities for signing mark sheets 4. The authorities for signing mark sheets and certificates for various programmes were identified. Formats of various Degree and Diploma Certificates were approved.

Amendments of Ordinances recommended by the Academic Council in its 7th meeting held on November 17, were approved. It was decided to seek the opinion of the Advisory Committee regarding the desirability and practicality of holding Convocation. Important decisions taken in the meetings of the Academic Council Eighth meeting: June 28, 1.

The number of members and other terms and conditions of the proposed board to be the same as that of the existing Board of Studies. Annual Report - 7 3. It was decided that, till the time the ordinances are drafted and approved, NISER may conduct academic programmes as per best practices for similar courses in the country.

It was decided that the candidates possessing the degree of M. Such candidates generally will have to undertake one year course work in the Training School even if they are employees in a CI. The guidelines for exemption from part of the course work were outlined. Minimum pass percentages for various courses were decided. It was decided that the M. It was decided to seek the CoM's advice on the question of desirability and practicality of holding Convocation Ninth meeting: February 18, 1.

Rules were formulated with respect to carrying part of Ph. Memorandum of Understanding with University of Virginia was approved. Video conferencing as a mode of conducting the viva-voce examination of Ph. Vinod K. Dinshaw Member Till Nov. Grover Prof. Balasubramanian Prof. Baldev Raj Prof. Dutta Prof. Dipan Ghosh Prof. Kaw Prof. Jemmis Prof. Mohandas Prof. Venugopal Prof.

Gangan Prathap Dr. Ramakumar Prof. Raychaudhuri Prof. Sahni Prof. Abhijit Sen Prof. Bikash Sinha Prof. Sunder Prof. Viyogi Prof. Badwe Member Since Dec. Datar BARC 3. Avinash Khare IOP 6. Raychaudhari HRI 8. Gautam Menon IMSc Yakhmi BARC 3. Manchanda BARC 4. Life Sciences 1. Zingde TMC 3. Dattagupta SINP 5. Rita Mulherkar TMC 6. Seshadri BARC 7. Sathiyamoorthy BARC 5. Tiwari BARC 6. Suri BARC 7. Bhatia BARC 9. Varde BARC Sunder IMSc Convener 2. Kesavan IMSc 3.

Adhikari HRI 4. Puri BARC 5. Ramanujam IMSc 6. Raghwendra HRI 7. Cowsik MU 8. Kohli BRIT 3. Subhash Chandra DAE 4. Mohandas TMC 2. Sainis BARC 3. Rajiv Sarin TMC 4. Srivastava TMC 5. Badwe TMC 6. Parikh TMC 7. Jambekar TMC 8. Shobha Bhatia KEM 9.

Avinash Supe KEM Grover Director Prof. Puri Dean Dr. Patel Associate Dean w. Ramaiah Finance Officer Shri D. Ramesh Administrative officer Till Padmanabhan Administrative Officer Since Apte - Life Sciences Prof. Dutta - Engineering Sciences Prof. Datar - Physical Science Prof. Abhijit Sen IoP Prof.

Mohandas IMSc Prof. Kesavan - Mathematical Sciences Prof. Yakhmi Chairman 2. Kailas Member 3. Choudhury Member 4. Chaplot Member 5. Jagtap Member 6. Sharma Member 7. Dhareshwar Member 8. Mittal Member 9. Sabharwal Member Srivenkatesan Member Sharma Member Chakravarthy Member Menon Member Datar Convener Chemical Sciences 1. Venugopal Chairman 2. Mukherjee Member 3. Kulshreshtha Member 4. Venkatramani Member 5.

Sarkar Member 6. Narsimhan Member 7. Arunachalam Member 8. Meera Venkatesh Member 9. Manchanda Member Ramkumar Member Aggarwal Member Ghosh Convener Life Sciences 1. Sainis Chairman 2. D'Souza Member 3. Seshadri Member 4. Sharma Member 5. Rajan Member 6. Hosur Member 7. Suri Chairman 2. Gantayet Member 3. Singh Member 4. Vijayan Member 5. Tiwari Member 6. Bhatia Member 7.

Varde Member 8. Sathiyamoorthy Member 9. Suri Member Gupta Chairman 2. Shri S. Kotaiah Member 3. Gupta Member 4. Nath Member 5. Kukreja Member 6. Shri C. Navathe Member 7. Lodha Member 8. Roy Member 9. Sundar Chairman 2.

Indira Member 3. Mohanakrishnan Member 4. Arora Member 5. Nair Member 6. Tyagi Member 7. Sivaprasad Member 8. Subramanian Member 9. Saha Member Sai Baba Member Viswanathan Member Amarendra Convener Chemical Sciences 1. Gnanasekaran Chairman 2.

Srinivasan Member 3. Koganti Member 4. Ganesan Member 5. Nagarajan Member 6. Kamachi Mudali Member 7. Anthonysamy Member 8. Kutty Member Annual Report - 21 9. Bharathi Member Viswanathan Convener Engineering Sciences 1. Jayakumar Chairman 2. Chellapandi Member 3. Bhaduri Member 5. Sivaprasad Member 6. Anand Babu Member 8. Velusami Member 9. Rao Member Panigrahi Member Srivastava 3. Pal 4. Shri Subimal Saha 5. Shri Jayanta Chaudhuri 6.

D Sarkar Convener, Engineering Sciences 7. Alok Chakraborty 8. Bhattacharya 9. Banerjee Barat Convener, Physical Sciences Pandit Jane Alam Tech: Master of Technology M. Phil: Master of Philosophy M. Acharya R. Achutan P. Adhikari S. Agarwal S. Arunachalam J. Bajaj P. Banerjee Aparna 8. Banerjee Smt. Bharadwaj Smt. Chattopadhyay A. Chattopadhyay S. Chaurasia S. Das D. Dash S. Deo M. Ganguly R. Ghosh S. Ghosh Swapan Goswami A. Jaikumar Sunil Jain V.

Jha S. Kalsi P. Kapoor Sudhir Kayasth S. Krishnamurthy N. Kshirsagar R. Kulshreshtha S. Majumder C. Manchanda V. Meera Venkatesh Smt. Mohapatra P. Mukherjee S. Mukherjee T. Naik D. Naik P. Narasimhan S. Natrajan V. Nayak S. Padmanabhan P. Pal H. Palit D. Pathak P. Pandey A. Pandit Gouri G. Parathasarthy V. Pillai C. Priyadarshini Smt. Pujari P. Ramakumar K. Rangarajan S.

Reddy A. Sabharwal Sunil Samanta S. Sarkar S. Sinha P. Shashikala K. Shivanna K. Sudarshan V. Tomar B. Tripathi R. Tyagi A. Varshney Lalit Vatsa R. Velmurugan S. Venkataramani B. Venkateswaran G. Venugopal V.

Yakhmi J. Engineering Sciences 1. Auluck S. Awasthi A. Badodkar D. Balasubramaniam R. Banerjee S. Bhatia M. Bidaye A. Chakraborty S. Chattopadhyay J. Chkaravarthy J. Das R. Dey G. Dutta B. Gantayet L. Ghosh A. Ghorui Srikumar Gopika Vinod Grover R. Hubli R. Kain V. Kale G. Kapoor Rajiv 30 Annual Report - Kar D. Khan K. Krishnan J. Kulkarni U. Kutty T. Madan V.

Maheswari N. Nagesh K. Nayak A. Pande D. Patankar V. Prasad G. Ramanathan S. Rami Reddy G. Ravindranath S. Roy S. Saravana Kumar U. Sathiyamoorthy D. Sengupta A. Singh J. Singh R. Srivastava D. Suri A. Suri V. Taliyan S. Tewari P. Tewari R. Tiwari A. Topkar Amita V. Vaidya P. Varde P. Vijayan P. Vinod Kumar A. Apte S. Balakrishnan Sreedevi 3. Bandekar J. Bhagwat S. Chaubey R. Chaudhari Pradip 7. D'Souza S. Das Birajlakshmi 9. Devasagayam T. Dongre T. Fulzele D. Ganapathi T. Gopalakrishna T.

Grace Samuel Hosur M. Indira Priyadarshini Smt. Jambhulkar S. Jawali Narendra Kale S. Kamat J. Lebana J. Joseph Smt. Malini Smt. Krishna Melo J. Meera Venkatesh Minal Mhatre Smt. Misra Hari S. Mukherjee P. Narkar Archana Poduval T. Rao T. Rajan M. Roja Gopalakrishnan Smt. Sainis Smt. Sainis K. Satpathy K. Seshadri M. Sharma A. Susan Smt.

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