Proceedings of ICIRSTM II

Publisher: IIRAJ 2018, ICIRSTM - International Conference, Singapore No part of this book can be reproduced in any form or by any means without prior written permission of the publisher ISBN- 978-81-934246-4-3 Type set & printed by: IIRAJ Publication House Bhubaneswar, India Conference Committee Guest of Honor: Loganathan Ravisanker Technology Director, The Dow Chemical Company, Singapore Program Chair: Prof Lerwen LIU Adjunct Associate Professor, National University of Singapore Managing Director, NanoGlobe Pte Ltd Senior Advisor, King Mongut’s University of Technology Thonburi (KMUTT), Thailand Jani Kotakoski Associate Professor University of Vienna, Austria Dr LU Li Professor, Dept of Mechanical Engineering, National University of Singapore Prof (Dr.) H.M Duong Associate Professor National University of Singapore Prof Yutaka Ohno Professor and Vice-Director Institute of Materials and Systems for Sustainability, Nagoya University, Japan William B Haskell Assistant Professor Department of Industrial Systems Engineering and Management, National University of Singapore Dr Teena Bagga Professor Amity University, Noida, India Dr Jagdish Chand Bansal Assistant Professor, South Asian University, India Convener: Dr Teena Bagga Publication and Distribution Head: Sujit Kumar Jena Suchismita Pattnaik INTERNATIONAL ADVISORY MEMBERS Prof Hai Minh Duong Mechanical Engineering, NUS, Singapore Prof (Dr.) Christian Berlin, Germany Prof (Dr.) Aibing Yu Australia Perlman Radia Professor, Department of Information Engineering , Chinese University, Hongkong Prof Lim Chin Seong Mechanical,Materials and Manufacturing, University of Nottingham, Malaysia Dr Eriki Ananda Kumar Mechanical and Industrial Engineering Caledonian College of Engineering, Oman Prof Madhav Mishra Principal (Retired), Barbil College, India Dr Arttatrana Pal Assistant Professor, Patna University, India Dr Funso Falade, Civil and Environmental Engineering University of Lagos, Nigeria Prof G K Roy Chemical Engineering, NIT, Rourkela Dr Hamid Krim Faculty,Electrical & Computer Engineering, NC State University, USA Dr Basavaraja Kodagunti, Assistant Professor Central University of Karnataka, India Dr.T.Nandha Kumar, Professor,Engineering, University of Nottingham, Malaysia Prof P K Nanda Dean (Research) S'O'A University, India Dr Mazen Eldeeb Mechanical Engineering, Cairo University, Egypt Anil Antony Sequeira Dept of Engineering, UAE Prof Abdelkader A Ibrahim Shobra Faculty of Engineering, Cairo, Egypt Mohammad Hossein Khozaei Department of Mechanical Engineering, University of Tehran, Iran Dr Chai Ai Bao Professor,Mechanical and Material Engineering, University of Nottingham, Malaysia Dr Ing Kong Mechanical, Materials and Manufacturing, The University of Nottingham, Malaysia Prof Sulaiman Al-Zuhair Chemical Engineering, UAE University Prof Sivakumar Manickam Director of Research, Chemical and Environmental Engineering, University of Nottingham, Malaysia Prof K Mahallick NIT, India Dr Bharat Chandra Routray Assistant Professor KIIT University, Bhubaneswar, India Prof Prakash Pandey OSD, Hon'ble Minister, Technical Education Dr Teena Bagga, Assistant Professor, Amity University, Noida, India Dr J P Patra SSIPMT, Raipur Prof Tapas Dora Dept of Chemical Engineering, India Prof C.K Dwivedi Dept of Electronics & Communication, Allahabad Dr Manoj Sharma SSIPMT, Raipur Prof Nabnit Panigrahi Mechanical Engineering, GIFT, India Loganathan Ravisanker Technology Director, The Dow Chemical Company, Singapore GUEST OF HONOR Logan Ravisanker is the R&D Director for the Dow Chemical Company in South East Asia region and he is responsible for managing strategy development and implementation for R&D for the South East Asia region with emphasis on driving collaborative innovation with customers by leveraging technology capabilities within global Dow Logan has been in this role since Sept 2016 and he is currently based in Singapore Earlier, Logan Ravisanker was the R&D leader for the Construction Chemicals business in Asia Pacific region and he was based in Shanghai, P.R China In this role, Logan was supporting business growth in the geography through innovation, application development and customer engagement He led the regional technology group in establishing a new flooring and sports technology platform under the brand name ECOGROUNDTM that won the 2017 RND 100 award for Green Technologies Logan Ravisanker started his career in GE Consumer & Industrial – Tech Mahindra joint Technology Center as a product development engineer and played various other roles between 1997 and 2008 including his years tenure in GE’s Appliance Park in Louisville, Kentucky where he worked with research team and launched various refrigeration sub-systems and components for new models to meet the 2001 Energy Efficiency Mandate in North America Logan then moved to China in 2003 to establish a new technology organization to support regional growth Log earned a degree in Science from Madras University in 1993 and a degree in engineering from Anna University in 1997 Keynote Talk on - Sustainable chemistries for modern consumers: from labs to commercialization Lerwen LIU Adjunct Associate Professor, National University of Singapore Senior Advisor to President of King Mongut’s University of Technology Thonburi (KMUTT), Thailand Keynote Talk on - STEAM – Platform of Transformation, Dynamically & Globally EvolvingYouth Leadership, Innovation & Entrepreneurship Towards Sustainability With Industry 4.0 advancing its impact in various aspect of our society from production (agriculture and industry) to consumption through convergence of robotics, ITC, design, monitoring, data analytics and visualization The economy is also evolving from Linear to Circular where energy and materials are produced and consumed more sustainably and waste is being re-used and recycled The convergence of all knowledge in Science, Technology, Engineering, Arts and Mathematics (STEAM) has become increasingly critical in developing holistic innovation for us the research Circular Economy (CE) and developing Industry 4.0 (I4.0) King Mongut’s University of Technology Thonburi (KMUTT) recently piloted a STEAM Platform of Transformation which provides experiential training for youth researchers, design and humanity students to co-create presentation materials on R&D capabilities and Innovations in the areas of Industry 4.0 and Circular Economy which are the key focus of KMUTT We are currently establishing partnership with the United Nations and Asia Development Bank in supporting capability building for the ASEAN region towards Industry 4.0 and Circular Economy and developing solutions towards the Sustainable Development Goals (SDGs) We shall focus in building and growing ASEAN Youth Leaders and workforce equipped with STEAM knowledge and entrepreneurship skills in driving the region towards the sustainable future with I4.0 and CE Our STEAM platform transforms the mindsets and skills of youth enable the young researchers to utilize their STEAM knowledge and leadership skills to solve real life problems locally and globally and more efficiently We offer internship & leadership programs for KMUTT students and international students to receive experiential & peer learning on I4.0 and CE as well as entrepreneurship skill training by the youth trainers Within a short months, we have trained 40 KMUTT students and young faculty members and showcase KMUTT innovations to the United Nations, government agencies, Asia Development Bank and others in Asia and Europe through various youth leadership forum addressing the future of the youth Jani Kotakoski Associate Professor, University of Vienna, Austria Keynote Talk on - Single-atom manipulation in the transmission electron microscope Over the last few years, atomic-level material manipulation inside the transmission electron microscope (TEM) has been gaining much attention While also the manipulation of atoms within three-dimensional crystals has been discussed, two-dimensional (2D) materials, such as graphene, provide the ideal first playground for this method In the earliest works, manipulation of 2D materials was carried out using the parallel illumination of a high resolution TEM More recently, the availability of low-voltage ultra-high vacuum scanning transmission electron microscopes (STEM) with extremely stable sample holders have made it possible to focus the electron beam on a specific atom within the material under study This ability, combined with the improved understanding on the interaction between the electron beam and 2D materials is now making it for the first time possible to manipulate covalently bound materials atomby-atom at will, reminiscent to what has been done with scanning tunneling microscopes at low temperatures on metal substrates since the 1980's The major difference is that in the STEM the manipulations can be done at room temperature and they remain stable up to temperatures far above that Until now, examples of manipulation include creating local defects through sputtering of atoms from graphene, rotating atomic bonds at defects such as di vacancies and moving individual silicon impurity atoms in the graphene lattice In this presentation, I will give an overview of the physical phenomena important for electron-beam manipulation of materials, paying special attention to unsolved problems, and discuss the way towards more complicated design-structures combining 2D samples, ion implantation and electron-beam manipulation (Dr.) H.M Duong Associate Professor, Dept of Mechanical Engineering, National University of Singapore Keynote Talk on - Mass Production and Applications of Cellulose Aerogels from Environmental Waste Thermal jacket design using eco-friendly cellulose fibers from recycled paper waste is developed in this report Neoprene as an outmost layer, cellulose aerogels in the middle and Nylon as an innermost layer can form the best sandwiched laminate using the zigzag stitching method for thermal jacket development The temperature of the ice slurry inside the water bottle covered with the designed thermal jackets remains at 0.1 °C even after h, which is the average duration of an outfield exercise Interestingly, the insulation performance of the designed thermal jackets is much better than the commercial insulated water bottles like FLOE bottles and is very competition to that of vacuum flasks for a same period of h and ambient conditions Haemostatic devices can exert internal pressure to promote blood clotting and reduce blood flow, potentially reducing mortality rates of gunshot wounds or other deeply penetrating wounds For the first time, cotton aerogels have been successfully developed from commercial cotton fibers The developed cotton aerogels can be compressed to form aerogel pallets which can be used for haemostatic devices The effects of various cotton fiber concentrations, their morphology and chitosan concentrations on volume expansion ratio, expansion time and hydrostatic pressure of the hybrid cotton aerogels are investigated comprehensively The chitosan-coated cellulose-cotton aerogel pallets having 0.7 wt% of the fibers, with cellulose-cotton ratio of 1:2 and 0.5 wt% of the coated chitosan showed excellent haemostatic performance The volume expansion ratio of 16.0, expansion time of 4.5 s and hydrostatic pressure of 11.5 mmHg of each aerogel pallet are much better than those of commercial haemostatic sponges The developed cotton-based aerogels have several potential applications such as haemostatic devices, stopping serious liquid leakage, oil-spill cleaning, personal care and heat and sound insulation applications Polyethylene terephthalate (PET) fiber aerogel were successfully invented from recycled PET fibers obtained from plastic bottles and using various cross linkers such as tetraethoxysilane (TEOS) and/or polyvinyl alcohol (PVA) and/or glutaraldehyde (GA) Recycled PET aerogels were obtained through the ambient pressure drying or freeze drying processes The developed PET aerogels showed superhydrophobicity with an average water contact angle of 149.9o Their thermal conductivity was approximately 0.033-0.047 W/mK They have a very low compressive Young’s Modulus (0.87 –4.98 kPa) and hence very elastic This work provides an approach to fabricate cost-effective and promising PET aerogels used for several applications such as thermal insulation and absorption applications Dr LU Li Professor, Dept of Mechanical Engineering, National University of Singapore Keynote Talk on - Design of Electrical Energy Storage Devices - The Next Wave Due to concerns of safety and specific energy of present Li-ion batteries that use organic electrolytes are Li-ion conductors, design new devices that can store high specific energy without tread off safety and even with higher safety factor, becomes a hot R&D direction and has attracted tremendous attentions in recent years To achieve this goal, one of possibilities is to replace organic electrolytes by less/no flammable electrolytes such as inorganic ceramic electrolytes Although solid state electrolytes been studied for a few decades, breakthrough in ionic conductivity has been noted only recently With applications of batteries in large format, safety issues become an extremely important in addition to challenges of high energy density Replacement of highly flammable organic liquid electrolyte by solid and stable electrolyte leads to increased safety Most solid electrolytes possess a wide operation potential range so that some cathodes materials that cannot be used in organic electrolyte can now be considered Studies also note that use of solid electrolyte can significantly expand battery operation temperature range Therefore, solid state battery is the future energy storage device Solid electrolyte that is a key and also an essential component in the batteries can be categorized into following types: oxide, glassy, sulfate, and polymer and its composites Different types of solid electrolytes show different advantages in different aspects Based on safety concern, oxide-based electrolytes such as garnet-structured, nasicon-structured and lisicon-structured materials have demonstrated pretty good stability in ambient condition with reasonably high ionic conductivity of about 10-4 ~ 10-3 S/cm Some of them can be potentially used in all-solid-state batteries and Li-air batteries This presentation will report our recent development of solid state electrolyte for Li-air batteries and for all-solid-state batteries BEST-FIT ESTIMATION MODEL AND OPTIMIZATION OF BIODIESEL PRODUCTION BASED ON CPO IN INDONESIA Khusnul Khotimah, 2Wisnu Ramadhan, 3Yanif Dwi Kuntjoro 1,2,3 Departement of Energy Security, Faculty of Defense Management, Indonesia Defense University Abstract The use of biodiesel as renewable energy in Indonesia is regulated by the government in the form of mandatory policy of mixing biodiesel with diesel fuel (biosolar 20%) Biodiesel production in Indonesia is only 1.703 kiloliters where the demand reaches 3.4 million kiloliters This is because the selling price is always lower than the cost of production Biodiesel production is influenced by raw materials and process technology, so it is necessary to estimate and optimize the production of biodiesel as a basis for determining the supporting policies for the selling price of biodiesel The nature of biodiesel production itself is very complex with multi-sector and multi-actor conditions The purpose of this study is to develop a comprehensive sustainability model to draw relationships and analyze the impact of government policies to stimulate the biodiesel industry Using combination of process mapping, technology, life cycle analysis and estimation modeling and optimization of palm oil-based biodiesel production In this study, the time series model is used to analyze the estimated production of the total area of oil palm cultivation in Indonesia The forecasting models used are Linear-TrendModel (LTM), Double-Exponential-Smoothing (DES) and Auto-Regressive-IntegratedModel-Average (ARIMA) Result analysis uses Mean Absolute Percentage Error (MAPE) and Mean Absolute Deviation (MAD) Inventory planning and optimization using Economic Production Quantity (EPQ).Complexity of related factors requires a fuzzy scheme in finding the optimal solution The overall estimation results show that the ARIMA model is the best-fit model for production and the total planted area Specifically, ARIMA (0,1,1) has the lowest MAPE and MAD values, indicating that the most numerous models are right to represent palm oil production Estimated value consistently increases by around 0.12% per year over the next ten years Optimal results using the fuzzy-EPQ method obtained the optimal amount of production in the first year of 19.713 tons and an increase of 0.1% annually The total inventory cost with the fuzzyEPQ method shows an 8.1% savings compared to this year's industrial policy, the total inventory cost of Rp 707.293.646.191 The results of this study can be used by government to estimate the export-import of biodiesel from palm oil and allow them to carry out better strategic planning, indirectly contribute to strengthening the position of the biodiesel industry in Indonesia Keywords - Best-Fit Model, Estimation, Optimization, Biodiesel, Palm Oil Proceedings of IIRAJ International Conference (2nd ICIRSTM 2018), U-Town Singapore, September 29 – 30, 2018 110 LOW LEAKAGE POWER ALU DESIGN USING IVC BASED GSA P Indira, 2Dr M Kamaraju Research Scholar, Professor Abstract Arithmetic and Logical Unit (ALU) is defined as an important component and is responsible for undergoing various arithmetic and logical functions in the microprocessor and microcontroller The entire ALU system comprises with the number of mathematical operations, and each operation is carried out using individual subsystem in the digital system design The applications of ALU are extended to the number of appliances namely calculators, mobile devices and supercomputers But main limitations arises is the power consumption and leakage power The leakage power is observed to be a dominant source in designing the nanometer sized digital circuits The Input Vector control (IVC) is observed as a well-known technique for leakage power reduction, and it provides least leakage power by selecting the input Minimum Leakage Vector (MLV) In this research, the gravitational search algorithm is applied to determine the MLV Sixteen bit ALU is designed using Verilog programming language and synthesized in Xilinx platform Gravitational search algorithm (GSA) is applied for individual input vector to determine the optimized input test vector set and the result obtained shows that proposed approach is efficient in electing the MLV and provides minimum leakage power The developed approach is compared with Genetic Algorithm and Particle Swarm Optimization (PSO) techniques in terms of number of iterations to prove the effectiveness of the design The comparative analysis shows that gravitational search algorithm provides better optimal value with less number of iterations Keywords - Arithmetic and Logical Unit (ALU), Input Vector Control (IVC), Minimum Leakage Vector (MLV), Particle Swarm Optimization (PSO), Gravitational Search Algorithm (GSA), Xilinx Proceedings of IIRAJ International Conference (2nd ICIRSTM 2018), U-Town Singapore, September 29 – 30, 2018 111  MANAGEMENT OF FISHING GROUNDS LOCATION DETERMINATION EFFECTIVELY AND EFFICIENTLY (AN IMPLEMENTATION OF SONAR TECHNOLOGY AND THERMAL IMAGING USAGE) Tezza Adriansyah Anwar, 2Gagan Sugandi, 3Ari Purno Wahyu W 1,2,3 Widyatama University Abstract Indonesia is currently the number one country in Southeast Asia in the fisheries sector And the fishery sector became the main concern of the government The government has also provided several strategic policies that can improve the welfare of fishermen The contribution of fisheries to the national sector is also increasing every year According to the Central Bureau of Statistics, in 2015, catches in the fisheries sector reached 8.37% and occupied the highest quarter in October In the same year, the export of Indonesian fishery reached 244.6 million US dollars while imports reached 12.5 million dollars The current fishing process is influenced by several factors: the size of the ship, the ship's engine, the type of fishing gear, the catchment area, and the technology used Another very important factor is climate and water temperature conditions Large fish will be at 280 C - 290 C which is the catch of tuna and other big fish Meanwhile, the current condition of small fishermen still use the traditional way in fishing ground search For example by paying attention to the number of birds that fly above sea level or by seeing the number of bubbles that arise from the seabed that can indicate the area where the fish ecosystem This method is not entirely effective because fishermen have to think about the estimated time and efficiency of fuel use when looking for the fishing ground.To overcome this problem, this research will illustrate the use of sonar technology that can detect fish presence and the use of thermal imaging technology to describe sea surface temperature of fish catches The result of the use of this technology will be useful information that fishermen can use to go directly to fishing ground so that the required time is more effective and efficient considering the capacity of the ship and the fuel used Keywords - Sonar, thermal Imaging, aerial photos, fishing grounds Proceedings of IIRAJ International Conference (2nd ICIRSTM 2018), U-Town Singapore, September 29 – 30, 2018 112 MONITORING SOURCE, SOIL MOISTURE, AND TYPES OF PLANT VEGETATION THROUGH DRINK TECHNOLOGY AND REMOTE SENSING (A Modern Agricultural Concept Application) Ari Purno Wahyu Wibowo, 2Tezza Adriansyah Anwar, Parlindungan 1,2,3 Widyatama University, Abstract The modern farming concept is a new method of how a system can monitor and present information taken from various sensors and are connected to one application, in developed countries the concept of modern agriculture is used to reduce high costs, for example farmers will have difficulty monitoring the plantation area which is large and separate, while still using traditional methods, the method will be time-consuming and labor-intensive if the plantation area is located in hilly and remote areas, the most important thing of the plantation area is the availability of adequate water supply and conditions plants and soil fertility itself This problem can be overcome using a Remote Sensing method, where the input of the data is taken through an aerial photograph of a drona or UAV (Unmanned Aerial Vehicle) using the UAV is deemed suitable for use in the plantation area with a large field or hilly plantation area, data the drone or UAV will be obtained by multispectral remote sensing method, and the NVDI (Normalized DifferenceVegetation Index) method can display information about plant conditions, soil fertility and water content as well as the amount of vegetation of any plant that lives in the area based on data sets and data training used Keywords - Drone, Remote Sensing, NDVI, Springs Proceedings of IIRAJ International Conference (2nd ICIRSTM 2018), U-Town Singapore, September 29 – 30, 2018 113 APPLICATION OF MACHINE VISION METHOD ON INDUSTRY REVOLUTION 4.0 FOR PROCESS OF SEQUENCE AND QUALITY CONTROL GEAR PRODUCTION Parlindungan, 2Tezza Adriansyah Anwar Ari Purno Wahyu W 1,2,3 Widyatama University Abstract The gear is an important component used in vehicle engines and industrial machinery, gear serves to transfer a motion energy from the engine block to another drive tool, so that the condition of the gear that is often used can experience kerusakaan because of excessive heat from the results of a very fast rotation, things can lead to rapid wear and broken gear conditions, gear condition checks serve to avoid a more severe damage that could impede performance on a vehicle engine or industrial machine Under certain conditions gear or observation can be done manually, but the condition is not possible if large-scale or industrial gear inspection, on a large-scale examination can use machine vision method, this method is very useful to check the circumstances of gear in time and the number of gear components many, the display of this system the condition of the gear will be visually visible based on the number of components or level of wear on the gear, good gear conditions are only given a sign while in the gear in damaged condition will be displayed by the system with the number of marking more than one depending on the circumstances gear components are checked, each marking represents the value of area, perimeter, metrci, Eccestricity, equivdiameter etc Keyword - Machine Vision, Gear, Smart Camera Proceedings of IIRAJ International Conference (2nd ICIRSTM 2018), U-Town Singapore, September 29 – 30, 2018 114 BAYESIAN HIERARCHY NONSTATIONARY NEURAL NETWORK ON SHORT TERM PREDICTION WIND POWER MODEL FOR MEASURING WORK CAPACITY OF WIND TURBINE A.Prasetyowati , D.Sudiana, H.Sudibyo Department of Electrical Engineering, Pancasila University, Jl Raya Srengseng Sawah Pasar Minggu Jakarta, Indonesia Department.of Electrical Engineering Indonesia University Depok,Indonesia Abstract Wind power prediction technology requires a computing system in the operator room in the form of a wind power forecasting model The wind power prediction model needed by the operator in the PLTB is a forecasting model with a short term The factors that most influence the level of accuracy of wind power forecasting models are wind speed and direction One of the energy diversifications built in Indonesia is wind energy Wind farm development is being carried out in a number of regions in Indonesia This condition requiring the predicted wind power values with high accuracy values.The one of operational constraints on wind land are the climatic conditions in Indonesia These climatic conditions cause wind speeds to have a non-stationary pattern This condition requires a prediction algorithm method that has special specifications to get the predicted wind power values with high accuracy values From the results of this prediction model, it is obtained a reference value to measure the working capacity of wind turbines installed in wind Farms The purpose of this study is to make predictions of wind power and measure the working capacity of wind turbines with processing historical time series data from the wind farm in Pandansimo Yogyakarta This Study using Bayesian nonstationary hierarchy integrated with neural networks as a regression method This method used to determine the prediction of one day ahead of wind energy produced as a reference value of the working capacity of the wind turbine The results of study showed the accuracy of hybrid models to produce predictive values that have the best accuracy values compared to other wind power prediction models that have been carried out using the same data and locations in previous studies The accuracy of the working capacity of wind turbines depends on the results of the predictions resulting from this study Keyword - Bayesian hirarki, Neural Network, NonStasioner, Wind Power, Wind Turbine Proceedings of IIRAJ International Conference (2nd ICIRSTM 2018), U-Town Singapore, September 29 – 30, 2018 115 THE APPLICATION OF INTERPRETIVE STRUCTURAL MODELING TECHNIQUE (ISM)TO STUDY ADOPTING MODEL OF GREEN SUPPLY CHAIN MANAGEMENT 1,2 Jirawat Wongthongchai, 2Krittapha Saenchaiyathon Faculty of Business Administration and Accountancy, Khon Kaen University, Khon Kaen, 40000, Thailand Abstract Environmental concern has increasingly become an important issue in supply chain management Firms would gain competitive advantage by adopting green supply chain management However, green supply chain management will work effectively and efficiently if the firm’s human resource department plays a major role in creating the awareness and the value of adopting the concept of green Hence, the objective of this study was to investigate the relationships among all the relevant elements/variables concerning green supply chain management and the role of human resource department in the organization We adopted the ISM technique to examine the relationships among those elements/variables derived from the literature review, group discussion, and indepth interviews Additionally, group discussion and in-depth interviews were also adopted to examine the relationships among those elements/variables The results were satisfactory and the relationships among those key elements/variables were established Thus, the ISM technique is very useful in research and the relationships derived in this study are considered robust Keywords - ISM technique, GSCM, Supply Chain Management, Green Training, Human Resource Proceedings of IIRAJ International Conference (2nd ICIRSTM 2018), U-Town Singapore, September 29 – 30, 2018 116 APPLICATION OF RADIAL SHOCK WAVE THERAPY TO STROKE PATIENT BASED ON TENS METHOD Wisnu Broto, 2Noor Suryaningsih, 3Fauzie Busalim, 4Ane Prasetyowati 1,2,3,4 Prodi Teknik Elektro Universitas Of Pancasila Street Srengseng Sawah, Jagakarsa, Jakarta, Pos.12640, Jakarta, INDONESIA Abstract TENS is an abbreviation of Transcutaneous Electrical Nerve Stimulation Transcutaneous means "across the skin" In simple terms, a TENS unit stimulates your nerves via an electrical current through your skin The TENS unit is powered by a volt battery which produces pain relieving electrical pulses Either two (single channel) or four (dual channel) self-adhesive electrodes are applied to the skin and attached to the TENS unit with lead wires Modified electrical pulses are then passed from the TENS unit, via the lead wires and electrodes, to the nerves which lie underneath the skin surface It works on the superficial and spinal nerves traversing to the brain TENS is a noninvasive tool to assist with pain relief Regular application of the TENs machine can result in reduced pain for up to hours following use TENs is considered a pain relief tool and not considered curative The degree of pain relief declines with prolonged use; three mode settings, Normal, Burst and Modulation Constant Stimulation at the frequency and pulse width setting Most commonly used or acute pain relief via a gating effect Modulation The frequency varies between different settings and uses a cyclical to help reduce nerve adaptation This is useful for acute and chronic pain relief Burst Mode is useful in chronic pain relief The unit will send through a burst of pain relieving power Keywords - Burst, Electrical pulse, Electrodes, Modulation, TENS Proceedings of IIRAJ International Conference (2nd ICIRSTM 2018), U-Town Singapore, September 29 – 30, 2018 117 A PREDICTIVE ANALYSIS ON THE CRIME RATES IN MANILA Deza, Jopeth B., Keh, 2Anthony Mar, Tamayo, 3Gio Luigi, Magisa, 4Jeremy Marion S, Barcelo, 5Arne B 1,2,3,4,5 University of Santo TomasManila, Philippines Abstract The focus and objective of the study is to identify the statistically significant factors that affect the occurrence of crime and predict crime rate in Manila within the jurisdiction of Manila Police District of the Philippine National Police To achieve these objectives, the researchers made use of Moving Average, Multiple Linear Regression, and CrossValidation Multiple Linear Regression was used for identifying the significant factors Cross-Validation was employed to test the model that was created from the regression Moving Average and Multiple Linear Regression was used for the forecasting of crime rate By using these analytical techniques, the researchers were able to forecast crime rate and have also determined the most significant factors that affect crime, which are: Incidents of Crime, Population Percentage/Population of the Area, Population in Retirement Age, and Unemployment Rate Keywords - Crime rate, Factors, Predictive Analytics; Training Testing Data Proceedings of IIRAJ International Conference (2nd ICIRSTM 2018), U-Town Singapore, September 29 – 30, 2018 118  A QUICK CHANGEOVER (SMED) SYSTEM FRAMEWORK FOR THE COMPANIES USING INJECTION MACHINES Ufuk Cebeci Istanbul Technical University Abstract The aim of this study is to build A Quick Changeover (SMED-Single Minute Exchange of Dies) Decision Support System Framework for the Manufacturing Companies Using Injection Machines to decrease setup time and to increase efficiency Injection molding machines are used industry commonly all over the world Especially SMEs (Small Medium Enterprise) not use their machines very effectively such as long lasting setup times It is expensive to get consultancy for lean manufacturing such as SMED Quick Changeover, “Poka Yoke” mistake proofing techniques Therefore, it is developed A Quick Changeover (SMED) System Framework for the manufacturing companies using injection machine in their productions The system can be used not only by SMEs but also big companies Keywords - SMED, Lean thinking, Industry 4.0, Decision Support System Software, Injection Machines Proceedings of IIRAJ International Conference (2nd ICIRSTM 2018), U-Town Singapore, September 29 – 30, 2018 119 THE STOCHASTIC MULTILEVEL STATE MODEL FOR THE STUDY OF CAPTIVE ANIMAL’S BEHAVIOR USING A NON-INVASIVE SENSING METHOD 1 Phudinan Singkahmfu, 2Pruet Boonma, 3Wijak Srisujjalertwaja, Anurak Panyanuwat, Natapot Warrit Department of Computer Science*, Faculty of Science,[2] Department of Computer Engineer, Engineering Faculty, [3] Department of Computer Science, Faculty of Science, [4] Chiang Mai University, Thailand, [5] Department of Biology, Faculty of Sciences, Chulalongkorn University, Thailand Abstract This article presents a stochastic multilevel-state model for the study of captive animal's behaviors The motivation of this article was the variety of behaviors influenced by several factors The data was collected from captive antelopes in Chiang Mai Night Safari, Thailand, with an automated sensing system Activities and environmental factors in an enclosed space were surveyed with a non-invasive method In this model, the obtained data was separated into two main classes: an upper-level data group and a lower-level data group The upper-level group represented the environment such as temperature, humidity, and light density The lower-level group illustrated the location of the animal The data in both categories were clustered and linked with a stochastic model Both layers of data were handled independently in a clustering algorithm and used to determine the probability of a state transition Then, in order to predict the animal’s location on the basis of its remaining behaviors, a Probabilistic Automaton (PA) function was executed with the data derived from the sensors This work will be beneficial for future computerized methods utilized in zoo research such as behavior monitoring and neighboring areas Furthermore, it can be applied to attract tourists to sites in which animals are naturally observed Keywords - Behavior monitoring, Zoo monitoring, Pattern Gathering, Data from the sensor, Sensor data cleaning, Antelope Goral, Stochastic multilevel Proceedings of IIRAJ International Conference (2nd ICIRSTM 2018), U-Town Singapore, September 29 – 30, 2018 120 THE POWER MANAGEMENT IN ORGANIZATION USING REAL TIME POWER CONSUMPTION MONITORING AND KNOWLEDGE MANAGEMENT APPROACH Walaiporn Singkhamfu, KanokwanChaiyaso, 3NarisraLaohapatanalert, NikomThipnate, 5PhudinanSingkhamfu 1,2,3,4,5 College of Arts Media and Technology, Chiang Mai University,Thailand Abstract The objective of this study is to develop an information technology model for the electricity consumption management of an organization in order to reduce the energy usage and cost Data used in this study were collected through interviewing and surveying the staff’s in-and-out movement of a specific building and statistically calculated to determine the hourly energy consumption index of all personnel in the building The real-time electricity consumption monitoring system showing daily, weekly, and monthly information was installed into large office rooms because these rooms are usually unoccupied, and the usage periods of the rooms are random Additionally, the retrieved data were used to create a knowledge model using knowledge Management (KM) principle in order to achieve political and managerial outcomes This study emphasized on activating the notification system via Line application and SMS in case that there was an unusually high electric energy consumption and any events of electricity usage after 18.00 to prevent a risk of fire One of the outcomes of this study was the electricity usage statistics of each room, each floor, and overall usage of an organization; all of which can be further used in analyzing and planning the organization’s energy policy aiming to effectively reduce the energy consumption and cost The results can also be beneficial to the management of the organization’s electrical appliances, especially the air conditioning units, the monitoring of the electrical appliances’ function and service lifetime, the maintenance planning, and replacement planning at the end of their services, and the systematically awareness-raising campaign regarding the importance of energy savings for the staff and students Keywords - Power monitoring, KM in organization, power sensor, power managements, iot, energy saving, power usage in office Proceedings of IIRAJ International Conference (2nd ICIRSTM 2018), U-Town Singapore, September 29 – 30, 2018 121 ROLE OF FACEBOOK ON MARKETING AND BRANDING OF BANKING PORTFOLIO’S Divya Pathak, 2Marshal Mukesh Sahni Research Scholar, Dean Student Welfare, Amity University Abstract Online branding initiatives and innovations are centrifugal to the strategic decision making of the contemporary business organisations and forms the core of the corporate’s mainstream operations The marketplace – centric branding model of banking businesses transformed to marketspace - centric branding and promotion campaigns In pursuit of gaining landmark online space, banking organisations are delineating their key impact functions around social media channels like Facebook for branding of their product portfolios Brand communication through Facebook has emerged as one of the key customer check points for raising product awareness as online communities are the new opinion leaders The century old governing principle of improving banking performance by opening new branches has given way to enhancing visibility amongst Facebook users and communities This paper aims to document the impact of online social ecosystem on branding of banking institutions and attempts to explain the positive influence of Facebook communication on promoting banking operations Keywords - Banking Sector, Facebook Branding, Facebook Marketing, Online Communities, Social Media Branding Proceedings of IIRAJ International Conference (2nd ICIRSTM 2018), U-Town Singapore, September 29 – 30, 2018 122 ROLE OF ARTIFICIAL INTELLIGENCE & MACHINE LEARNING IN MARKETING 1 Sushant Kumar Vishnoi, 2Dr Teena Bagga Research Scholar, 2Professor, Amity Business School, Amity University, Uttar Pradesh Abstract Technology integration into business domains (techno-centricism) is a century old phenomenon, though the defining technologies of decades differ by incorporated innovations, prevalent principles, processes and defined nomenclatures Within these technologies subsides the scope of future business strategies and performance enhancements of inbuilt systems and processes Contemporary marketing function incorporates sizeable technology into mainstream operations and presents an added advantage for brand promotion This paper aims to document the insights of Artificial Intelligence (AI) ecosystem and embedded technologies in marketing process and organizations Further it attempts to explain the AI-marketing nexus and build a basic understanding of how their fusion is the future of successful business organizations Keywords - Artificial Intelligence, Deep learning, Machine learning, Marketing, Technology Proceedings of IIRAJ International Conference (2nd ICIRSTM 2018), U-Town Singapore, September 29 – 30, 2018 123 ... University of Vienna, Austria Dr LU Li Professor, Dept of Mechanical Engineering, National University of Singapore Prof (Dr.) H.M Duong Associate Professor National University of Singapore Prof Yutaka... investigation of role of smart metering and placement of Phasor Measurement Units (PMUs) for power quality enhancement of real time systems in smart grid architecture Proceedings of IIRAJ International... accelerates the trend of development of technology for next generation We on behalf of International Institute of Research and Journals (IIRAJ) & U-Town (National University of Singapore), express