bluuebunny/crossref_metadata_2025 huggingface dataset:
The impact of climate change in tourism sector in Java Island: a literature review
Authors: Satyawan I A , Wibisono B I , Binangun P S
Published: April 2021

As a common global concern, climate change impacts society in a multitude of effects, including tourism. Given that climate change is closely linked to tourism, this paper will examine the growing body of knowledge linked to climate change and tourism in Java Island. The purpose of this literature review is twofold. First, it shows the state of the art of the subject matters and the second one is to identify the main topics of the current research. This review was conducted by finding the keywords related to climate change and tourism in the literatures. This literature review was conducted semi-systematically by searching well-known digital libraries using keywords related to tourism sectors and climate change. A total of 24 literatures were identified as relevant to our inclusion criteria. Required information was extracted from these 24 literatures and grouped into each topic. The result is, current research on impacts of climate change in the tourism sector in Java Island is mainly focused on the threat of extreme weather to the tourism sector. Extreme weather directly linked with the tourism sector by significantly decreasing the number of visitors. Another important point to highlight is the change of adaptation pattern in societal, governmental, or private sector institutional level is also an important topic to be examined thoroughly in further research
Environmental friendly “Jambur” building relevance in Karo Batak communities and gotong-royong/sisampat-sampati communities in Covid-19 pandemics
Authors: Tarigan N P
Published: April 2021

It can be an exciting and positive thing to realize an Indonesian-style building in a location from certain ethnic groups like the Karo Batak. Notably, suppose they collaborated with social empowerment where they live so that the diversity of Indonesia’s ethnic groups will be more colorful in cooperating or working together or in the “Sisampat-sampati” in Karo Language. In that case, this can be built by creating approaches for developing the character of ethnic groups and in person. Developing the character of a person or ethnic group in Indonesia will make the Indonesian people better in the future, because in principle, these characters are formed from many national cultures, such as respect for nature and others. Indonesia is very friendly or likes to communicate and interact, so that the use of social media in Indonesia can be said to be very broad and the third largest for several types of social media. However, whether this has excellent implications for increasing the quality of life or significant quality of life is still a big question especially Sustainable Development Goals (SDG) number 13, climate change. However, with a hypothesis that mutual character building is the right answer, the researcher is pleased to provide input from a broader view of character development itself and architecture. This will undoubtedly bring significant changes to the nation in the future. This paper is a conceptual article or literature study and input from several journals.
Stakeholders’ perception model on environmental management system in Indonesia
Authors: Munandar A I , Khoriyah S , Aprilasani Z
Published: April 2021

The Environmental Management System (EMS) has an essential role in promoting inclusive and sustainable industrialization to support climate change. However, it is considered to be less desirable by industries in Indonesia. Meanwhile, the Ministry of Environment and Forestry has issued the Company Performance Rating Program in Environmental Management (PROPER) as a driving force for industries in Indonesia. The EMS ISO 14001 is an obligation in the PROPER assessment. This study aims to design a stakeholder perception model related to the ISO 14001 implementation. The method employed in the research is in-depth interviews with expert stakeholders. The result is a qualitative model of stakeholder perception, which shows that there is a relationship between motivations, costs, and benefits in the application of EMS. The perception of industries revealed that the cost of EMS implementation is greater than the gained benefits in the short term, yet more benefits are favored in the long-term. Therefore, government involvement is necessary to increase the motivation of industries in both the short-term and long-term. This study also revealed the key aspects to optimize EMS implementation in Indonesia.
Estimation of Deformation Parameters to Separate Postseismic Effect After The 2006 Yogyakarta Earthquake Based on Geodetic Observation
Authors: Widodo G A , Widjajanti N , Pratama C
Published: April 2021

The 2006 Yogyakarta earthquake with a magnitude of 6.3 happened with presumption due to activity from the Opak fault. After the earthquake, the activity of the Opak fault continued to be monitored by using Global Positioning System (GPS) technology. GPS data can be used to see the characteristics of deformation, which happened until present after the Yogyakarta earthquake in 2006. The characteristics of the deformation caused by the earthquake can be either afterslip or viscoelastic relaxation, where each of them can be approached by using a logarithmic and exponential function. The results show the data from continuous stations shows better results compilation approached with an exponential function, which means the deformation of the Opak Fault depends on the interseismic phase with still potential as viscoelastic relaxation of material which lies on the lower crust. Then, the results of the exponential parameters are used to correct the velocity for all GPS stations. The statistical result shows that only the velocity of the continuous stations is significantly different from the velocity before being corrected.
Long and Short Wavelength of Geodetic Strain Rate Tapering Earthquake Potential in Western Java
Authors: Heliani L S , Pratama C , Wibowo A , Sahara D P , Ilahi R , Lestari D
Published: April 2021

Shallow earthquake produced by intra-island fault in a populated region could be a catastrophic disaster. Java island is the most populated area specifically in Western Java since there include Jakarta, the capital city of Indonesia. Cimandiri, Lembang and Baribis fault as main intra-island fault are considered to be responsible due to some shallow historical earthquake in Western Java. However, convergent plate margin such as Java Island generates a broad spectrum of deformation pattern that potentially distracts the deformation due to Baribis fault. In addition, slow relative motion of Sunda block and postseismic deformation due to the 2006 Java tsunami earthquake involve along those fault. Here, we intend to conduct a wavelength decomposition of strain rate calculated from GNSS (Global Navigation Satellite System) data. We expect to separate long wavelength due to wider-region deformation such as deformation due to the interacting plate and postseismic deformation to obtain Short wavelength due to each fault. We utilized the daily position of recent continuous geodetic data to produce strain rate. Therefore, we could apply a moving average filter to extract a short wavelength component. We obtained long wavelength (-150 to 150 nanostrain/yr) in Western Java shows extension indicating the postseismic effect is still continuous while short wavelength (-75 to 75 nanostrain/yr) varies in space.
Hotspot analysis of divorce cases in the Greater Solo Region
Authors: Setiawan H , Amin C
Published: April 2021

Divorce is a common phenomenon that occurs in society. The divorce rate in various regions in Indonesia has been quite high in the last 10 years. The phenomenon of divorce is interesting when viewed from its spatial distribution. This study aim to analysis the divorce rate and determine the hotspots distribution of divorce in the Greater Solo Region. This research uses quantitative research methods with secondary data as the main data which is analysed descriptively. In the study of geography, it is necessary to support statistical analysis, especially with regard to spatial correlation studies. Determination of divorce hotspots is carried out with the support of spatial analysis utilizing the hotspot (Getis-Ord Gi *) spatial analysis of the Geographic Information System. The results of processing the distribution of divorce hotspots in Greater Solo Region in 2019 show clustering, namely in the city of Surakarta and its surroundings which are urban areas. This study indicates that there is a correlation between the divorce rate and urban area.
Study Of The Making Of Land Value Zone Map Based On The Market Price To Update Land Value In Central Government Areas ( Case Study: Mejayan Sub-District, Madiun Regency)
Authors: Deviantari U W , Hidayat H , Rahmawati A
Published: April 2021

Based on Government Regulation number 3 of 2019 concerning an amendment to regulation number 52 of 2010, the Government of Madiun Regency relocates of the capital city of Madiun Regency from the Madiun City area to Caruban City located in the Mejayan SubDistrict. With the relocation of the capital city of Madiun Regency in the Mejayan Sub-District, the region is increasingly strategic with developments. Development in this region, triggering influence on changes in land values. This study aims to make of land value zone map in the Mejayan Sub-District, to update land value information in Mejayan Sub-District using a comparative market approach and the final process of this study to analyze the effect of distance of public facilities on land values in the sorrounding area, using spatial buffering analysis. The results show that the highest average indication value (NIR) in the C4 zone is IDR 3.597.668 / m2 and the lowest average indication value (NIR) in the A8 zone is IDR 134.950 / m2 and Spatial buffering analysis on land value zone map, The results showed that the zone located at a radius of 1 kilometer from public facilities, namely the Central Government Office Area of Madiun Regency and the Caruban Railway Station had higher land values than the zone within a radius of 2 kilometers and a radius of 3 kilometers. As for the results of spatial buffering from the Gemblung Traditional Market, it appears that the zone located at a radius of 3 kilometers from the market results has a higher land value than the zone within a radius of 1 kilometer and a radius of 2 kilometers because at a radius of 3 kilometers it has better accessibility. Other factors that affect land value are accessibility, land position, and type of land use.
Mapping of Kedaton Archaeological Sites Using Geomagnetic Methods (Preliminary Study)
Authors: Widodo Amien , Rochman Juan Pandu Gya Nur , Warnana Dwa Desa , Lestari Wien , Syaifuddin Firman , Adausy Thufeil Amr , Kristanto Aisya Nur Hafiyya , Hawan Shofi Iqtina , Satiawan Soni , M. Husni Mubarak L , Arya S Bagoes Oka R. , Zaky Dicky Ahmad , Nugroho Wicaksono Dwi
Published: April 2021

Ancient civilizations in Jombang left many historical relics in the form of temples, artifacts, and other archeological sites. Kedaton site is one of the newly discovered archeological sites. This site is buried under a few meters thick of Mount Kelud’s pyroclastic flow. Therefore, the distribution patterns of the site is needed to improve the excavation plan in order to maintain the structure of the site. One of the technical approaches that can be applied to map the site’s distribution in detail is geophysical survey. Geomagnetic method is a method commonly used in the case of archeological site investigations because of its non-destructive nature. The mapping process on Kedaton site is conducted by applying geomagnetic survey that utilizes physical parameters in the form of magnetic susceptibility. The reduce to pole filter is applied to magnetic data processing to aid interpretation, coupled with horizontal gradient method and analytic signal method further clarify the boundaries of magnetic anomaly sources. Reduce to pole filter indicates that the site’s brick detected as moderate to high magnetic anomaly values (more than 450 nT). This research succeeded in mapping clearly the boundaries of the site with an area of up to 6000 meters2 with the shape of the site resembling a building with several chambers. The main chamber is in the north which is the widest chamber, and small chambers are found on the south side.
Determination Of Earthquake Intensity Based On PGA (Peak Ground Acceleration) Using Multi-Event Earthquake Data
Authors: Hariyanto Teguh , Bioresita Filsa , Pribadi Cherie Bhekti , Safitri Chomia Nilam
Published: April 2021

Pandeglang Regency is located in the southern coast of Java Island which is adjacent to the megathrust subduction zone. This zone originates from the meeting of the Indo-Australian Plate which is subducted under the Eurasian Plate. So that it can cause frequent earthquakes due to the movement of the plunging plates. Other than that, Pandeglang Regency is also bordered by the Sunda Strait in the western part where the region has Mount Krakatau which has the potential to cause earthquakes due to volcanic eruptions. Therefore, it is necessary to identify the level of earthquake hazard in Pandeglang Regency as a first step in disaster mitigation. Determination of earthquake hazard level in the study area is using the method of scoring the earthquake hazard level parameters based on “Peraturan Menteri Pekerjaan Umum No. 21/PRT/M/2007” and using spatial analysis. These parameters are the physical properties of rocks, slope, seismicity (magnitude, peak ground acceleration, and intensity), and the distance of the region to the fault zone. For the calculation of PGA (Peak Ground Acceleration) using the empirical equation from [10] and calculation of earthquake intensity using the empirical equation from [9]. The level of earthquake hazard is divided into three categories: low hazard level, medium hazard level, and high hazard level. The results of this study indicate that there is no low hazard category in Pandeglang Regency. For the category of medium hazard level has an area of 1719.404 km2 (62.959%). And for the high hazard level category has an area of 1011.573 km2 (37.041%). In almost all sub-districts there are medium and high hazard categories. Subdistricts that does not have medium level of hazard category are Patia and Sindangresmi Sub- district. And sub-districts that does not have high hazard level category are Cibaliung, Cimanuk, Karangtanjung, Koroncong, Mekarjaya, Menes, dan Pandeglang Sub-districts. The largest area in the medium hazard level category is in Cimanggu Sub-district, 344.394 km2. And in the category of high hazard level is also in Cimanggu Sub-district, 396.980 km2.
Rapid mapping of temporary surface water using Sentinel-1 imagery, case study: Zorn River flooding, Grand-Est, France
Authors: Bioresita F , Puissant A
Published: April 2021

Temporary Surface Water (TSW) is defined as waterbody experiencing frequent drying phases (small ponds, puddles, and wetlands) or correspond to surfaces frequently affected by flooding, thus causing hazards to human, settlements, and infrastructures. The Zorn is one of main river in Grand-Est, France which overwhelmed by strong precipitations from the Storm Eleanor (Cyclone Burglind). It caused inundation in Zorn surrounding areas. On 23 January 2018, data reported that floods occurred in Zorn watershed near to the municipalities of Brumath, Hoerdt and Hochfelden. Zorn River lies in the Moselle and Bas-Rhin departments with 580 km of linear streams. Historically, floods are frequently occurred in the Zorn watershed area. The municipalities of Eschbourg, Brumath and Dossenheim-sur-Zinsel are the most affected floods areas. Synthetic Aperture Radar (SAR) is an effective way to detect surface water over large areas. Sentinel-1 is a new available SAR, and its spatial resolution and short temporal baselines have the potential for surface water rapid mapping. Thus, the objective is to perform rapid mapping to produce flood map around the catchment of the Zorn River (next to Brumath).
The Development of Seabed Sediment Mapping Methods: The Opportunity Application in the Coastal Waters
Authors: Khomsin  , Mukhtasor  , Pratomo D G , Suntoyo
Published: April 2021

Coastal areas have a significant role in human life worldwide, where world economic activities are concentrated in coastal areas. One of which is the activity of loading and unloading import-export goods through ports. Ports management must use a nautical chart to ensure the safety of shipping activities. The nautical chart contains graphical information from the sea and coastal areas, namely: seabed topography, natural and artificial seabed features, coastlines, navigation hazards, both natural and artificial navigation aids, tides, currents, human-made structures such as ports, buildings, and bridges. Seabed sediment is also essential information that must be available in the Nautical Chart. Several techniques and methods are used to make a seabed sediment map, namely mechanical grab (lead line, grab sampler, coring) and acoustic (side-scan sonar, singlebeam, and multibeam echosounder). This paper reviews seabed sediment mapping techniques and proposes techniques and methods in the future.
Experimental investigation on mechanical and vibration characteristics of Flax/CNSL composite laminates
Authors: Murugan R , Arthur S Daniel Mc , Bharath G , Abinesh S , Cibi Kumar K , Padmanabhan K.
Published: April 2021

Natural fiber reinforced composite materials are most increasingly used as sustainable structures in engineering industries due to their vast availability and eco-friendly nature. In this regard, an emphasis is given in the present work to the use of natural fiber in structural composite material in place of synthetic fibers for structural applications. In the present study, the mechanical properties and free vibration characteristics of a pure green composite laminate were experimentally evaluated. For complete understanding of the behaviour of green composite material, a second laminate is prepared using synthetic resin. Two types of composite laminates were fabricated by hand layup method. In the pure green laminate, natural flax fiber is embedded in cashew nut shell liquid (CNSL) resin and for the second laminate epoxy resin is used as matrix. The flax fiber is preferred due to its high mechanical strength among all the natural fibers. Alkaline treatment is done for the natural flax fiber before fabrication to remove impurities and also improve the surface adhesion. Both the laminates were tested for mechanical properties and free vibration characteristics according to ASTM standards. The experimentally evaluated tensile, flexural properties and modal frequency values of two types of laminates are reported and discussed.
Properties and Potential Applications of Carbon Nano Horns Over Carbon Nano Tubes as a Nano Fluid - A Review
Authors: Sabarish Kumar P , Suresh Kumar K , ArunVasantha Geethan K , Santhosh D
Published: April 2021

Nano fluids play a vital role in enhancing the performance of major thermal systems such as heat exchangers, Refrigeration & Air conditioning systems, Internal Combustion Engines. Among those carbon nano tubes is the most predominantly used nano particle. But the major problems associated with the carbon nano tubes are poor stability and lower dispersion in excess saline environment which leads to fouling in heat exchangers which in turn reduces the heat transfer rate when used as a nano fluid. Therefore in this review article properties such as thermal conductivity, thermal diffusivity, viscosity etc., potential applications and merits of carbon nano horns (which is synthesized by structural modifications of carbon nano tube) over carbon nano tubes when used as a nano fluid has been discussed.
Review on Waste Heat Recovery from Flue Gas and Its Application in CO2 Capture
Authors: Nandakishora Y , Sahoo R K , Murugan S
Published: April 2021

CO2 capture and storage (CCS) is a promising technology to mitigate CO2 emission from fossil-fuelled power plants. The three existing CO2 capturing technologies popularly used in the fossil-fuelled thermal plants are pre-combustion, oxy-fuel combustion, and post-combustion. Absorption, adsorption, membranes, chemical looping, and cryogenic are the prominent methods used in post-combustion technique. The cost reduction and energy savings are the two important challenges in CCS. Secondary power generation by using an organic Rankine cycle (ORC) from waste heat available from flue gas and CO2 capturing units is an attractive option. A comprehensive review of research works carried out pertaining to the integration of ORC in power plants in the recent past is presented in this paper.
Partially Singularly Perturbed System of Delay Differential Equations and a Second Order Uniformly Convergent Method
Authors: Senthilkumar L S , Subburayan V
Published: April 2021

A second order uniformly convergent method is presented in this research article. Theoretical result wellposedness is also presented. The numerical illustrating example is given to validate the theoretical claim.
Effect of EGR on a diesel engine fueled with waste plastic oil blend
Authors: Balaji G. , Anvar Saheel I. , Hariharan M. , Palaniappan P. L.
Published: April 2021

With the increasing global demand for fuels, there is a need to reduce vehicular emissions which are one of the major causes of air pollution around the globe. NOx emissions leads to health issues, acid rain, global warming, etc. Diesel engines are the major sources for NOx emissions. Hence there is a need to reduce the emissions from the engines by means of alternate fuels and emission control technologies. This investigation deals with the effect of exhaust gas recirculation (EGR) on single cylinder, direct injection diesel engine using plastic oil and diesel blend (10% plastic oil + 90% diesel) at EGR rates of 5%, 10% and 15%. Plastic oil blends were able to operate in diesel engines without any modifications and based on the results, EGR decreases the NOx emissions with a minimum increase in specific fuel consumption. The engine with the EGR rate of 15% and at the full load condition, the emission level of NOx has been decreased from 1327 to 661 ppm. Hence it was concluded that the low emission level of NOx can be obtained using EGR for the plastic oil blend. The results showed that DPB+EGR15 blend had the least NOx emission.
Rear Side Solar Radiation Model of Bifacial Photovoltaic Module for Equatorial zone
Authors: Johnson Joji , Manikandan S
Published: April 2021

Many models are available to simulate the solar radiation incident on monofacial photovoltaic panels but these models cannot be used to evaluate the radiation incident on a bifacial photovoltaic panel as it does not consider the bifacial gain due to ground reflection and diffuse sky radiation. In this paper an optical model was developed to measure the global solar irradiance on front and rear side of a bifacial photovoltaic module. The bifacial gain at the rear surface is modelled by considering the diffuse sky radiation and reflected component of light from ground and nearby surfaces. An optimised model is developed for Equatorial zone for maximum bifacial gain considering tilt and shading parameters. A comparative study on annual gain for the bifacial module compared to monofacial module also done for the topical latitude zone.
A Secure Framework for Record Exchange Between Medical Institutions
Authors: Senthil Kumar G. , Anuja S. , Sudha M.R. , Anuj  , Ajay D
Published: April 2021

The Personal Health Record (PHR) is a framework of health information exchange. In the digital age, hospitals and medical institutions are moving to an online platform to store the medical record of patients because physical storage has become quite labor-intensive, expensive and also very inconvenient in terms of maintenance and retrieval while online storage overcomes those obstacles. But there are still numerous privacy concerns as confidential health information may be accessed by unauthorized people. Storage of medical records and other patients related information on third party servers may be vulnerable to breaches as third-party servers usually do not possess a lot of security. To assure the patient’s authority over to their PHRs, this method is used, to encrypt the PHRs before storing on a server and that data is linked with the blockchain. In this paper, we propose a model and mechanism for control of data access to Personal Health Records stored on the cloud. To achieve efficient data access control for Personal Health Records, we use AES and SHA algorithm as an approach to encrypt each PHR file. The analysis and results exhibit the security and efficiency of our proposed scheme.
Design and modelling of MSW (RDF) gasifier
Authors: Rajakumaran V. , Dillibabu V. , Lakhsmanan T.
Published: April 2021

Increase in population and technology advancement leads to higher generation Municipal Solid Waste (MSW). The current method of disposing solid waste of by incineration process, which operates at high capital, Operation and maintenance cost and emission of toxic gases. This paper discusses the process design to model the MSW gasifier to minimize heating requirement when compare with conventional incineration process for a waste disposal. The modelling aims to gasify the MSW to produce heating value syngas in 10 kW downdraft gasifier. The gasifier is configured in with equivalence ratio, gasification agent, feedstock flexibility, thermo-chemical process (auto-gasification) control, low tar formation and other parameters. The designed modelled yields biomass feed rate, gas flow rate, gas heating value, energy efficiency, specific gasification rate. An impressive option on reduction of landfill disposal from above designed gasifier model is feasible.
A review on the selection of phase change materials for photovoltaic thermal management
Authors: Sivashankar M , Selvam C , Manikandan S
Published: April 2021

Integrating the phase change materials with photovoltaic cells improve the electrical conversion efficiency by storing the heat in the form of latent heat. The crystalline silicon cells has been widely lead the photovoltaic industry but it has a high temperature coefficient from 0.4 to 0.5%/°C, so rising the temperature during peak solar irradiation can be regulated passively by integrating the phase change material (PCM). Selection of PCM based on the thermophysical properties is an important criterion to enhance the performance of photovoltaic cells. This paper mainly focuses on three criterion (i) phase transition temperature (< 45°C) (ii) latent heat (iii) thermal conductivity. The main objective of this work is to make comparative analysis to select the suitable PCM for an effective thermal management of photovoltaic.
Concise overview of BIPV systems and its future scope
Authors: Cibi M R , Manikandan S
Published: April 2021

Buildings are considered as a major consumer of electricity. It is said because 40% of the total energy produced is utilized by the buildings. Harnessing the solar energy by means of photovoltaics is seen as sensible option to meet out the buildings demand entirely or partially. Recent trends has seen BIPV systems as a viable option that not only enhances the aesthetics of the building but at the same time meets out the buildings energy demand. Apart from the aesthetics and electricity production, BIPV, which acts as an integral component of the buildings, reduces solar heat gain at the same time allowing daylight to enter into the building. This paper discusses the different cell technologies used in solar BIPV systems, different types of PV modules used for building integration, orientation and tilt angle optimization of panels, performance analysis with different case studies, cooling methods adopted in this technology and the main barriers that slows down the development of this system. Payback periods is also studied and discussed in this paper.
A vision for sustainable mobility through autonomous vehicles in city planning
Authors: Narayani A R , Kumar K Krishna
Published: April 2021

It is estimated that there will be an increase of more than 2.5 billion in the urban population by 2050 especially in Asia and Africa. Urbanization has a major impact on the transport energy use. Globally the number of vehicles is estimated to double its current volume. Cities need to be designed for safe accessibility and sustainable mobility. Apart From focusing on reduced carbon emissions, well networked transport systems and reduced congestion, creative solutions need to be envisioned for the vital flow of people, goods and services. The main Objective of the study is to understand the potentials of Autonomous vehicles as a key to sustainable mobility and Safe accessibility. The study also examines current trends and future predictions in technological advancements, its importance in safer and cleaner drives through review of literature. The key performance indicators considered are the Economic, Environmental, and social Impacts. The critical challenge lies in forecasting the impact of the paradigm shift to complete autonomous systems by consumers and businesses. Optimization model and simulations are carried out by various researchers to understand the future trends and scope of autonomous mobility. The idea faces numerous criticisms due to technical constraints and user attitudes. Further investigation in this domain will be instrumental in developing a vision focused on autonomous vehicles as a key to sustainable mobility in future cities.
Thermodynamic analysis on ORC by using various refrigerants and refrigerant blends at various operating conditions
Authors: Singh Jay Pratap , Kaman M D Kathir , Singh Sarthak , Puhan Somal
Published: April 2021

This study primarily focuses on Organic Rankine Cycle (ORC) systems and their applications in low temperature waste heat recovery. With the harmful effects of CO2 coming to light and the ever increasing prices of fossil fuels, the importance of low grade heat recovery has grown significantly in the past few years. Several ORC solutions have been proposed to generate electricity from low temperature sources. The ORC systems discussed in this study have applications in various fields such as small-scale cogeneration solar thermal system, exhaust gases from the engine, domestic boilers, etc.

This piece of work presents a thermodynamic analysis for the use of ORC systems to utilize exergy energy or low grade energy to generate power. The working fluids used in this analysis are R12, R113, R134a, R141b, R245ca, and R245fa with pressures ranging from 5 kPa to 1.005 MPa. Here, both the 1st and 2nd laws of thermodynamics have been analyzed by varying system independent parameters at various reference pressures. This paper aims at picking out the most suitable working fluid for the Organic Rankine Cycle among the ones mentioned.
Improvement in performance and combustion of CRDI engine with simarouba blended fuel as alternative fuel
Authors: Raj V. Mathan , Manoj Akshay
Published: April 2021

This paper is concerned with the benefits of addition of 1-pentanol and benzyl alcohol, which are classified as aliphatic and aromatic type alcohols respectively based on the position of hydroxyl group, to a blend of Siarouba glauca and diesel (B20) in minor quantities. This was later tested under various load conditions to study the performance, emission, and combustion on a CRDI engine. Literature is cited to show that the poor performance of B20 can be enhanced substantially by the addition of 1-pentanol (P) and benzyl alcohol (Bn). Each sample of fuel was prepared by 5% concentration by volume addition of 1-pentanol and benzyl alcohol. The tests were conducted on a single-cylinder, four-stroke, and constant speed CRDI engine and compared with the results from which diesel was used as a fuel. Break thermal (BT) efficiency is found to be a considerable 9.08% and 5.5% more in 5%pentanol and 5% Benzyl Alcohol fuel blends respectively than that of diesel. While comparing brake specific fuel consumption (BSFC) it was found that diesel has a noticeable 24.32% more consumption rate than both the fuel types. The emission rate of CO was found to be 81.25% and 81.33% less with 5%pentanol and 5% Benzyl Alcohol fuel blends than that of diesel. Diesel also released .5714 and .2698 times more Hydrocarbon(HC) compared to 5%pentanol and 5% Benzyl Alcohol respectively. However, NOx emissions were higher in both 5%pentanol and 5% Benzyl Alcohol. These benefits are documented by comparing each fuel in different load conditions and are represented graphically.
Experimental study on addition of Steel Fibres in Conventional Concrete
Authors: More D Florence , Selvan S Senthil
Published: April 2021

Fibre Reinforced Concrete (FRC) is a composite material which consists of constituents of conventional concrete along with the addition of fibres. The two major classifications of fibres are natural and artificial fibres. The main purpose of use of fibres in concrete is to arrest the formation and propagation of cracks in concrete. The purpose of this study is to compare the mechanical properties of Steel Fibre Reinforced Concrete with the Conventional Concrete. Steel fibres with four different percentages such as 0.5%, 1.0%, 1.5% and 2.0% were added to the concrete. Three different grades of concrete such as M40, M50, M60 were experimented in this study. Compressive strengths of cube specimens were calculated for these dosages with a curing period of 14 and 28 days. Optimization of the SFRC was done through the Compressive strength test results. It was observed that fibre dosage of 1.5% showed maximum values when compared with other percentages. With the optimized percentage of Steel Fibre, split tensile strength test was carried out. It was observed that the addition of steel fibres in concrete improved the compressive strength and split tensile strength of steel fibre reinforced concrete. At 28 days of curing with the addition of 1.5% of fibres, the compressive strengths of M40, M50 and M60 grades of concrete increased by 14.6%, 13.7% and 11.8% respectively compared with conventional concrete. Similarly, at 28 days of curing with the addition of 1.5% of fibres, the split tensile strengths of M40, M50 and M60 grades of concrete increased by 7.66%, 8.59% and 9.23% respectively compared with conventional concrete. In addition, a microstructural analysis was done to determine the material characterisation through Scanning Electron Microscope (SEM) and X-Ray Diffraction (XRD).
Assessment of Heavy Metal Pollution in Sediment for Thamiraparani River, India
Authors: Reymond D Justus , Sudalaimuthu Karuppasamy
Published: April 2021

An investigation of sediment characterization was led along a stretch of the Thamiraparani Stream, Tamilnadu, India, during September, 2020 to assess the effect of anthropogenic actions. Ten locations were chosen from Authoor to Punnakayal for the examination. Sediments were analysed with ICP-OES instrument. From the obtained results (stated in mg/kg of dry weight) revealed that Fe wide-ranging from 1623.95 to 53003.83, Pb ranged between 0.02 to 0.3, Zn varies from 0.2 to 2.08, Cu from 0.02 to 0.83, Ni from 0.41 to 2.8, and Mn from 2.01 to 17.39. Assessed Pollution Load Index (PLI) and geo-accumulation index (Igeo) discovered the sediments at all places were almost not affected by metallic element. The obtained results were compared with heavy metal Guidelines for Sediments (EPA).
Solution of fully Fuzzy Linear Fractional Programming Problem-A Simple Approach
Authors: Loganathan T. , Ganesan K.
Published: April 2021

In this paper, we discuss fully fuzzy linear fractional programming (FFLFP) problems under fuzzy nature with triangular fuzzy numbers. We recommend a simple method for the solution of FFLFP problems which preserves the fuzzy nature of the problem. The efficiency of the method proposed is illustrated with an example.
A Novel vision based embedded framework system to detect and track dynamic vehicles
Authors: Suryakala Vasanthadev , Rajalakshmi T. , Kolangiammal S. , Agarwal Harshit
Published: April 2021

A vehicle tracking system is a smart device installed in vehicles to detect and track the moving vehicle. In the emerging world the number of vehicles on road has been increasing globally. Intelligent transport system has been explored better to make an efficient transport system and also for traffic arrangements. Hence there is a need for a system that tracks the vehicle and provide assistance to the driver. The study aims at developing a novel embedded driver assistance framework that could analyze the dynamics of vehicle in the front and rear surround views. In the proposed study, to detect and track the moving vehicles Gaussian Mixture Model (GMM) and Kalman filter is implemented thereby critical safety to the vehicles is enabled by calculating the distance along with the directions. The developed prototype contains 4 cameras each equipped with an embedded processor. In order for the system to run at a near real time pace, optimized vision-based techniques are used that detect vehicles that are near-by. The only modality used for sensing are the camera sensors which analyze the surroundings of the ego or the host vehicle. Object detection by GMM technique proves to be more accurate and reliable in light traffic conditions and during day time whereas during night time the detection technique is not that accurate. Hence the developed prototype includes ultrasonic sensors that calculates the distance between the objects by sound wave. Further the developed detection system is validated by analyzing Receiver Operating Characteristics. Thus vision based embedded computing framework proves to be more efficient method for tracking objects.
Desiccant materials for the production of water from humid air with the help of concentrated solar power
Authors: Das Avipsita , Thirunavukkarasu V , Cheralathan M
Published: April 2021

Water is one such element that the human being cannot live without. In the last couple of decades due to global warming and unprecedented weather changes water has become scarce. Transportation of water to villages and desert areas cost a fortune and is not practical. In this study, water has been extracted from various desiccant materials while also employing the help of concentrated solar power. The desiccant materials that have been used are Silica Gel, Activated Clay and Activated Alumina. Activated Clay is a mixture of different elements which can be used as a desiccant material. These desiccants tend to adsorb the water present in the atmospheric air that is around it and when regeneration occurs it is unconfined as water vapour droplets. For the present work, a Scheffler-type concentrator along with a short cylinder type receiver is used as the solar radiation heat source for the regeneration process. Solar radiation or rather beam radiation is directed at the receiver that contains the desiccant material. It is observed from the experimental study that silica crystals produced 142 ml/kg/day of water whereas activated alumina and activated clay produced 100 ml/kg/day and 48 ml/kg/day of water respectively on a clear sunny day.
Numerical Investigation on Effect of Turbulence Model Selection for Aerodynamic Prediction of Axial Flow Fan
Authors: Bharanitharan K J , Senthilkumar S , Dadhich Bhavesh
Published: April 2021

Axial fans are one of the major power consuming cooling systems in most of the devices being used in daily basis. So, it is very important to predict the aerodynamic performance of the fan design. One way of estimating the fan performance in full 3D scale is by using Computational fluid dynamics. Turbulence models plays an important role in application of CFD for Axial flow fans. It is important to choose proper turbulence model in order to get the most accurate results. In this study, a baseline model experiment was chosen and validated. Both steady and transient studies have been carried out. Steady state simulation was performed using Reynolds Averaged Navier Stokes turbulence models such as Spalart Allmaras, RNG k-ε with swirl dominant flow, k-ω SST model and Transition SST model. Transient simulation is performed using RANS model such as Spalart Allmaras, Standard k-ε with standard wall function, RNG k-ε with swirl dominant flow, k-ω SST model, Detached Eddy Solver and Standard k-ω with embedded Large Eddy Solver. Both studies reveal that with coarse mesh URANS model can predict more accurate than Hybrid URANS models. Out of all the models DES showed a very good prediction in terms of pressure drop.
BER Analysis of Neural Equalizer in OFDM systems
Authors: Jaswanth V , Suryakala S. Vasanthadev , Nikil S. Kolangiammal , Dinesh Reddy G , Trived Sai G
Published: April 2021

Digital communication gives larger data capacity and best communication speed. The signal transmitted through the wireless channels in digital communication affected by nonlinearities like noise. Inter Symbol Interference (ISI) dominantly causes huge data loss. It is caused due to multipath propagation, band-limited channels noise. Equalization, a process of inducing inverse channel response to compensate the effects of ISI is used to combat these effects. Orthogonal Frequency Division Multiplexing (OFDM) system supports high data rates and offers resistance towards the channel effect. Adding equalizer to OFDM systems make it more robust.

In real time situations the response of channel is not known in prior. So, adaptive equalizers are implemented to compensate channel effects with the help of pilot symbols which are used to estimate the channel response and equalize the signal accordingly. Minimum Mean Square Error (MMSE), Least Square (LS) are some of the existing algorithms used to implement the equalizers. These conventional algorithms require some statistical properties of channel which is not possible in real time scenarios. Also, Linear Transverse equalizer failed to provide satisfactory results in the case of Non Minimum Phase channel. Neural Networks is capable to perform this task and can be used as an alternative to these algorithms.

Back Propagation Neural Networks (BPNN) and Deep Neural Networks (DNN) can achieve better results when compared to conventional algorithms. Here, Deep Neural Networks with Adam optimization is proposed to enhance the performance of equalization. DNN can be used in both linear and non-linear channels. Also, Adam optimization used with Back Propagation uses variable and adaptive learning rate which reduces slow convergence and increases the efficiency of neural network unlike stochastic gradient descent which uses fixed learning rate.

In this work the performance of proposed equalizer in OFDM systems is analyzed over flat and frequency selective fading of Rayleigh channels. The performance is measured in terms of Bit Error rate over SNR range -30dB to 25 dB. The results are compared with that of MMSE and it is observed that over the mentioned range of SNR the proposed equalizer achieved acceptable results and has low Bit error rate than that of MMSE in both flat and frequency selective fading channels.
An alternate method for finding an optimal solution to Mixed Type Transportation Problem under a Fuzzy Environment
Authors: Vidhya V. , Uma Maheswari P. , Ganesan K.
Published: April 2021

In this paper, we develop a new algorithm for the initial fuzzy basic feasible solution to a transportation problem with imprecise parameters. All the decision variables are assumed to be triangular fuzzy numbers or trapezoidal fuzzy numbers or real numbers. By applying the efficient ranking function and arithmetic operations the solution is obtained without changing it into its crisp equivalent form. Using the parametric form of fuzzy numbers such as left fuzziness index, right fuzziness index, modal value and by using a proposed algorithm we obtained the initial basic fuzzy feasible solution to the problem. We further discuss the optimality by applying the modified distribution method. A numerical example is solved to show the effectiveness of the proposed algorithm.
Analysis on thermal transport properties of carbon based NFPCM in different concentrations for CTES applications
Authors: Sathishkumar A , Mrithul S , Aditya Kashyap K S , Cheralathan M
Published: April 2021

Energy crisis is one of the major problems the world is currently facing. Many researches are happening around the world to tackle the problem. Some involve in discovering new sources and some, in improving the available ones. This study belongs to the second category. This study aims to reduce the time taken to reach a certain temperature in a chiller, thereby reducing the running time of the chiller. A lower running time means lower energy requirement. This is done using Graphene based NFPCM in different concentrations. Three DI water filled balls with SDBS surfactant were mixed with 0.15 wt.%, 0.3 wt.% and 0.45 wt.% of GNP respectively. Three RTD sensors were connected to the balls at the center, 10mm from the center and 20mm from the center which were then connected to a data logger. The experiment was performed in a solidification bath into which the balls were suspended. The experiment was done at a surrounding temperature of -8°C and -9°C. The results were displayed in temperature vs time graphs. It was noted that with the increase in the grapheme content in the balls, the time that was taken to reach the temperature has been reduced.
Analyzing and Ranking Prevalent News over Social Media
Authors: Anuja S. , Senthil Kumar G. , Kulshrestha Siddharth , Budhia Parth
Published: April 2021

Since the growth of social media, news outrage over mass through social media has become evident and its control over all information sources has increased significantly. Social media services such as twitter collects enormous amounts of information and allows media companies to publish news related information as tweets. Every other big news company has its twitter account to public news in form of tweets. Beside news social media platforms has enormous amount of news attached to them as well. To make correct and better information reach to users we have to filter noise and segregate the content based on similarity and content’s respective value. Even after filtering noise, information payload exists in data so to prioritize information must be ranked in order of considered factors. In our proposed work, news are filtered and ranked based on three factors. First, media focus (MF) which tells the temporal prevalence of a particular topic in news media. Second, user attention (UA) which tells how mass is responding to the topic. Last, is the user interaction which tells how users are forming view over the topic. Our proposed work introduces an unsupervised machine learning framework which identifies news topics prevalent in both social media and the news media, and then ranks them ordering them using their degrees of MF, UA, and UI.
BAM: A Framework for Business Analysis and Management
Authors: Shiny Angel T.S. , Senthil Kumar G. , Mesia Dhas John T , Snehalatha N. , Vijayakumar K.
Published: April 2021

Online shopping is a necessary activity of day to day life. People are busier in their work culture but accommodate their commercial requirements, the only solution is online shopping. As a customer people are facing lot of problems but the major issue is searching and selecting the products. This frame work is showing a combined approach of trend, customer review and age-based selection process. The recommendation system of the proposed framework is take care about all the aspects and view items to the customers. It will reduce time and make customer happier.