VOLUME 5, ISSUE 9, SEPTEMBER 2018
ACHIEVEMENTS OF A PILOT SOLAR POWERED IRRIGATION PROJECT IN BANGLADESH
Sania Binte Mahtab, Abrar Morshed
ABANDONED OBJECT DETECTION VIA TEMPORAL CONSISTENCY MODELING AND BACK-TRACING VERIFICATION FOR VISUAL SURVEILLANCE
Miss. Komal Sunil Patil, Prof. Girish A. Kulkarni
HR PLANNING USING THE MCKINSEY 7S MODEL CONCEPT FOR START UP MATERNITY CLINIC
Aminatuz Zuhriah, Tantri Yanuar Rahmat Syah, Deddy Dewanto, Ratna Indrawati L
ANALYSIS OF THE EFFECT OF MOTIVATION, JOB SATISFACTION, AND ORGANIZATIONAL COMMITMENT ON PERFORMANCE
Ifan Widarto, Rina Anindita
SECURE VIDEO EXCHANGE SYSTEM BASED ON STREAM CIPHER AND LORENZ SYSTEM
Laith Abdulhussein Hamood, Mahmood K. Ibrahem
REVIEW ON CHATBOT DESIGN TECHNIQUES IN SPEECH CONVERSATION SYSTEMS
Revati Sharma, Meetkumar Patel
TOXIC COMMENT CLASSIFICATION USING NEURAL NETWORKS AND MACHINE LEARNING
Revati Sharma, Meetkumar Patel
NANO-SURFACTANTS AND ENHANCEMENT OF THEIR DETERGENTY
Poonam Ghodke, Dr. (Mrs.) Swarda Mote
WORK SATISFACTION ANTECEDENTS AND CONSEQUENCES: AN ANALYSIS OF TRANSFORMATIONAL LEADERSHIP STYLE, COMMUNICATION AND PERFORMANCE OF THE NURSES (STUDY ON THE HOSPITAL NURSES IN INDONESIA)
Sari Dewi Rosady, Tantri Yanuar Rahmat Syah
POWER GENERATION FROM EXHAUST GASES OF DIESEL ENGINES: AN OVERVIEW AND AN APPROACH
Shubham V. Lasankute, Sanket P. Wankhade, Shubham G. Darokar, Rohit R. Dabhade, Prof. Vikramsingh R. Parihar*
ANALYSIS OF THE INFLUENCE OF SERVICE QUALITY AND HOSPITAL IMAGE ON INPATIENT LOYALTY WITH PATIENT SATISFACTION AS INTERVENING VARIABLE
Sukartini, Ratna Indrawati L
NOVEL APPROACH OF OPTIMIZATION FOR ECONOMIC LOAD DISPATCH BY HYBRID PARTICLE SWARM OPTIMIZATION AND GENETIC APPROACH
Malvika Katoch, Harmeet Singh Gill
OPTIMISATION FOR MINIMUM VOLUME OF COUNTER FLOW TUBULAR HEAT EXCHANGER USING GENETIC ALGORITHM
Mohan Hari Soni
SIMULATION ON VEHICULAR AD-HOC NETWORKS USING PROPOSED BBICR TECHNIQUE
Shuchi Smita, Ashutosh Kumar, K Suresh
STUDIES ON BLENDING PROPERTIES OF POLY LACTIC ACID AND STARCH WITH METHYLENE DIPHENYL DIISOCYANATE
Dineshkumar Myilsamy, Sudhan Gowtham, Janani Saravanakumar, Durgadevi Rajendran
Abstract
ACHIEVEMENTS OF A PILOT SOLAR POWERED IRRIGATION PROJECT IN BANGLADESH
Sania Binte Mahtab, Abrar Morshed
DOI: 10.17148/IARJSET.2018.591
Abstract: Bangladesh is a country of 160 million people where solar powered irrigation systems have proven to be a viable alternative among other renewable energy sources. The flat terrain and abundant sunshine are the two main factors behind the increasing demand for solar powered systems in this region. In the traditional irrigation system diesel engines or the electricity from the main grid is usually used both of these methods are not friendly to the environment. The use of solar energy to pump ground water is a indigenous low cost solution that is helping the farmers of this middle income country immensely. On the other hand proper regulations should be implemented to regulate the use of water resources in order to avoid depletion of ground water resources. the pilot project also aims to supply the unused electricity during the off peak season to the national grid.
Keywords: Solar powered irrigation systems, renewable energy, sustainable development
Abstract
ABANDONED OBJECT DETECTION VIA TEMPORAL CONSISTENCY MODELING AND BACK-TRACING VERIFICATION FOR VISUAL SURVEILLANCE
Miss. Komal Sunil Patil, Prof. Girish A. Kulkarni
DOI: 10.17148/IARJSET.2018.592
Abstract: Security of public places is a considerably burning issue. Day by day the issues of mass killing due to bomb explosions are increasing. These bombs are mostly disguised in bags, luggage, etc. The common strategy of sleeper cell is to leave bags or belongings in public area. The security in charge cannot be always vigilant over Camera's footage, hence if an automation is given to Camera itself; that will lessen the chances of such risk. For that the proposed system is processing the video with the image processing using Open CV on .NET platform. If a person is dropping off some bag or any such suspicious thing and leaving it running away, the system will catch this activity and if such bag is immobile for certain time span decided by analyzer, then it will give notification to authority as abandon object using Image processing. Abandoned object detection is an essential requirement in many video surveillance contexts. We introduce an abandoned object detection tool based on a set of possible events and on a set of rules to act upon those events. This implementation is simple and reusable unlike existing techniques. It is implemented using a simple logical reasoning upon textual data, in contrast to image centric processing.
Keywords: Abandoned luggage detection, abandoned object detection, object detection and tracking, video surveillance, left baggage detection, background subtraction.
Abstract
HR PLANNING USING THE MCKINSEY 7S MODEL CONCEPT FOR START UP MATERNITY CLINIC
Aminatuz Zuhriah, Tantri Yanuar Rahmat Syah, Deddy Dewanto, Ratna Indrawati L
DOI: 10.17148/IARJSET.2018.593
Abstract: Market competition certainly can't be avoided considering the number of similar companies that have appeared. That's way Human Resource Planning (HRP) using the McKinsey 7S Model Concept at the Start Up maternity clinic in the face of that competitor. This study resulted in conceptual modeling of human resource development strategies of stakeholders with increased productivity in realizing the establishment of the Start Up Clinic that will compete to serve the Community, especially Mothers. This HR concept strategy is a strategic action to give produces the competence and health industry of the human resource capacity development program meaning. Human Resource Investment is an intellectual investment that has significance for the business development of Start Up Clinic and improve services to the society, especially mothers.
Keywords: Maternity Clinic, Star Up, Human Resources, McKinsey 7S Model
Abstract
ANALYSIS OF THE EFFECT OF MOTIVATION, JOB SATISFACTION, AND ORGANIZATIONAL COMMITMENT ON PERFORMANCE
Ifan Widarto, Rina Anindita
DOI: 10.17148/IARJSET.2018.594
Abstract: Human resources have a major role in every organizational activity. The resources of the organization will not provide optimal results if it is not supported by human resources who have a capable performance. To achieve good performance, performance variable cannot stand alone. This means that there are several supporting variables that can affect performance variable. Work motivation, Job Satisfaction, and Organizational Commitment are three variables that have an influence on improving employee performance. This is evidenced by previous researches that have been conducted. However, most of these researches took locus in private organizations or institutions. In this research, we took the place of research in state institutions. The purpose of this research were: First, to find out how work motivation influenced organizational commitment; Second, to find out how job satisfaction influenced organizational commitment; Third, to find out how work motivation influenced performance; Fourth, to find out how job satisfaction influenced performance: and Fifth, to find out how organizational commitment influenced performance. This research was conducted on respondents where all of them were Civil Servants of the General Secretariat of People's Consultative Assembly (MPR) of the Republic of Indonesia by using questionnaire media. Data analysis in this research used the Structural Equation Modeling (SEM) method. The results of this research suggested that high work motivation had a significant effect on organizational commitment, high job satisfaction would form high organizational commitment, but high work motivation did not affect performance, while high job satisfaction affected partially on performance, and apparently high organizational commitment did not directly affect performance. This research found evidence that organizational commitment was not mediation between work motivation and performance and job satisfaction with performance.
Keywords: Motivation, Job Satisfaction, Organizational Commitment, Performance, State Institution.
Abstract
SECURE VIDEO EXCHANGE SYSTEM BASED ON STREAM CIPHER AND LORENZ SYSTEM
Laith Abdulhussein Hamood, Mahmood K. Ibrahem
DOI: 10.17148/IARJSET.2018.595
Abstract: The huge development in communication, multimedia and networks technologies lead to huge increase in using and transmitting of digital video, with that development the need for securing of these digital data is increased. Video encryption is vastly used to provide security for digital video. In this paper a system for secure video exchange is suggested, which consist of proposed video encryption method based on stream cipher and chaotic system as a key generator. Chaotic systems have been used successfully with cryptography. Chaotic system has characteristic make it suitable to be used in encryption such as pseudo-randomness, and sensitivity to initial conditions. Secure Video exchange system with proposed video encryption method have been successfully designed and implemented, the analysis results and tests on the system demonstrated that the encryption method has good results in term of speed and security.
Keywords: Video encryption, Chaotic system, Stream cipher, Lorenz system
Abstract
REVIEW ON CHATBOT DESIGN TECHNIQUES IN SPEECH CONVERSATION SYSTEMS
Revati Sharma, Meetkumar Patel
DOI: 10.17148/IARJSET.2018.596
Abstract: A dialog-exchanging system generating a meaningful and empathetic conversation between human and a computer is called a chatbot which processes the natural language input that can be either a speech or a textual form and gives the response in the same language and expression as of the human. Various Natural Language Processing (NLP) techniques using the python library, Natural Language Tool Kit (NLTK) these inputs of speech from users can be processed and intelligent responses from such system engine can be gained to build up a human-like interaction. This paper is a survey on chatbots which have made a significant impact in the previous years about their various development techniques from selected papers which are the witness of remarkable improvements of these chatbots. Also some idea about the advanced scale chatbots such as google now and descendants of Microsoft chatbot is also discussed regarding their popularity and aids in different areas of human life. The paper also discusses the usability or performances of different chatbots along with differences and similarities in techniques through Turing test and Loebner prize.
Keywords: Natural Language Processing, Intelligent Responses, Turing Test, Loebner Prize, AIML
Abstract
TOXIC COMMENT CLASSIFICATION USING NEURAL NETWORKS AND MACHINE LEARNING
Revati Sharma, Meetkumar Patel
DOI: 10.17148/IARJSET.2018.597
Abstract: A cornucopia of data is developed through conversations, interactions of humans online. This scenario has contributed considerably well to the quality of human life but it also involves prodigious dangers as online text communications with high toxicity quality cause individual assaults, online provocation and harassing practices. This has activated both industrial and research network over the most recent couple of years while there are a few attempts to distinguish a proficient model for online toxic comment classification and prediction. Be that as it may, these means are still in their earliest stages and new methodologies and structures are required. On parallel, the information blast that shows up always, makes the development of new machine learning computational apparatuses for overseeing this data, a basic need. Gratefully progresses in big data management, hardware and cloud computing administration permit the advancement of Deep Learning approaches showing up exceptionally encouraging execution up until now. Recently the use of Convolutional Neural Networks and Recurrent Neural Networks have been approached for computational purposes for the text classification systems. In this work, we utilize this way to deal with finding toxic comments, remarks in an extensive pool of records given by a current Kaggle's competition with respect to Wikipedia's talk page edits which has divided the level of toxicity into 6 labels: toxicity, severe toxicity, obscenity, threat, insult or identity hate.
Keywords: Long-Short Term Memory, Convolutional Neural Network, Text mining, Word Embedding, Toxic text classification, Text classification
Abstract
NANO-SURFACTANTS AND ENHANCEMENT OF THEIR DETERGENTY
Poonam Ghodke, Dr. (Mrs.) Swarda Mote
DOI: 10.17148/IARJSET.2018.598
Abstract: Surfactants have been a crucial subject of investigation since the genesis of life. These smart chemicals are very well known for their surface tension reducing abilities and thus find a diverse scope in essential industrial applications such as in day-to-day toiletries, cosmetics and pharmaceutics. Above Critical Micelle Concentration (CMC), the surfactants form Nano-sized particles called as the micelles which are responsible for the entrapment and cleaning of the dirt. Many production firms especially the detergent formulating industry thrive on this mechanism. Surfactants being the costliest ingredient, the major concern of the detergent manufacturing industries is related to the quantity as well as the expected efficiency of these chemicals. However, one can observe a slight anomaly in the anticipated efficacy of the Nano-surfactants (Nano-sized surfactant micelles). This paper emphasizes on how the hardness present in the water is the cause for such eccentric behaviour of these chemicals. Clinging to the cost-effectiveness, this study also employs a comparison between various Builders which are used in order to control the hardness in the water thus gaining the desired results. An attempt has been made to upsurge the detergency with the aid of Builders altogether enhancing coherence and effectiveness.
Keywords: Surface tension, Critical Micelle Concentration (CMC), Nano-Surfactants, Hardness of water, Builders, Detergency
Abstract
WORK SATISFACTION ANTECEDENTS AND CONSEQUENCES: AN ANALYSIS OF TRANSFORMATIONAL LEADERSHIP STYLE, COMMUNICATION AND PERFORMANCE OF THE NURSES (STUDY ON THE HOSPITAL NURSES IN INDONESIA)
Sari Dewi Rosady, Tantri Yanuar Rahmat Syah
DOI: 10.17148/IARJSET.2018.599
Abstract: Related with the success of a hospital, the best performance of the nurses is the key to success. Success in carrying out the work and the formation of a comfortable environment due to the influence of communication and transformational leadership style can make the nurses achieve job satisfaction. Job satisfaction that arises will certainly have an impact on improving the performance of nurses in the hospital, it is expected that problems that occur related to the low performance of the nurses can be resolved properly. The purpose of this study is to determine the effect of transformational leadership style and communication on the performance of nurses with mediation of nurses' job satisfaction. Respondents used were 115. Data were analyzed using Structural Equation Model (SEM). The results showed that the transformational leadership style had an effect on the nurses' job satisfaction, the transformational leadership style had an effect on the nurses' performance, the communication did not affect the nurses' job satisfaction, the communication did not affect the nurses' performance and the nurses' job satisfaction had no effect on the nurses' performance.
Keywords: Transformational leadership style, communication, performance, satisfaction, hospital, nurse
Abstract
POWER GENERATION FROM EXHAUST GASES OF DIESEL ENGINES: AN OVERVIEW AND AN APPROACH
Shubham V. Lasankute, Sanket P. Wankhade, Shubham G. Darokar, Rohit R. Dabhade, Prof. Vikramsingh R. Parihar*
DOI: 10.17148/IARJSET.2018.5910
Abstract: In this research work the modification of stationary diesel engine for producing power using turbine. Nowadays in automobile field many new innovating concepts are being developed. We are using the power from vehicle exhaust to generate the electricity which can be stored in battery for the later consumption. In this project, we are demonstrating a concept of generating power in a stationary single cylinder diesel engine by the usage of turbines. Here we are placing a turbine in the path of exhaust in the silencer. An engine is also placed in the chassis of the vehicle. The turbine is connected to a dynamo, which is used to generate power. Depending upon the airflow the turbine will start rotating, and then the dynamo will also start to rotate. A dynamo is a device which is used to convert the kinetic energy into electrical energy. The generated power is stored to the battery. It can be stored in the battery after rectification. The rectified voltage can be inverted and can be used in various forms of utilities.
Keywords: Automotive Engines, Power Generation, Turbines, Diesel Engine, Exhaust Gases, Dynamo
Abstract
ANALYSIS OF THE INFLUENCE OF SERVICE QUALITY AND HOSPITAL IMAGE ON INPATIENT LOYALTY WITH PATIENT SATISFACTION AS INTERVENING VARIABLE
Sukartini, Ratna Indrawati L
DOI: 10.17148/IARJSET.2018.5911
Abstract: Service quality affects patient satisfaction that will affect patient loyalty. The most important indicators of Hospital services by Ministry of health is the ratio of Bed Occupancy (BOR). If the patient is satisfied with health services provided, then it will effect conferring on patient loyalty to utilize health services. The image of the hospital have an impact on the attitudes and behaviour of patients against hospitals. The better image will be higher levels of consumer purchases and the greater chance of that product being purchased by consumers and further improve consumer loyalty to a product. Purpose: to know the influence of service quality and hospital image on inpatient loyalty with patient satisfaction as an intervening variable. Research methods: This research is quantitative research. This study was conducted on 185 patients at Mother and Child Hospital "Bunda Sejahtera" Tangerang using a questionnaire. Data analysis method in this research used Structural Equation Modeling (SEM). Research results: showed that a good hospital image did not improve patient satisfaction. Good service quality will increase patient satisfaction. High patient satisfaction will increase loyalty. A good hospital image will increase patient loyalty. Good service quality will increase patient loyalty. In this study patient satisfaction mediates the Service Quality and Hospital Image because the results of the study show that satisfaction influences patient loyalty.
Keywords: Service Quality, Hospital Image, Satisfaction, Loyalty.
Abstract
NOVEL APPROACH OF OPTIMIZATION FOR ECONOMIC LOAD DISPATCH BY HYBRID PARTICLE SWARM OPTIMIZATION AND GENETIC APPROACH
Malvika Katoch, Harmeet Singh Gill
DOI: 10.17148/IARJSET.2018.5912
Abstract: Hybrid Optimization using PSO (Particle Swarm Optimization) and GA (Genetic Approach) is the most significant optimization technique which has been used so far for load forecasting amongst Combined Heat and Power (CHP) generators in the power system. This Hybrid Optimization technique is designed in such a way that once we are able to forecast the load, the total fuel cost is reduced as the tendency of this optimization technique is to attain convergence. As compared to the application of using only PSO technique or only GA technique the hybrid approach of both the techniques is much more effective as well as fruitful. In this study the data of six CHP generators has been used for getting the optimum solution. The data from these generators is collated and observed using only Particle Swarm Optimization and the solution was converged as we were able to reach the optimum point. Also the same data was observed after the application of using only Genetic Approach and the solution again got converged although the convergence obtained after using only PSO and GA was not that precise as well as more time consuming. However when we used the hybrid of Particle Swarm Optimization and Genetic Approach the convergence of the solution was far better as compared to only using PSO and GA technique.
Keywords: Hybrid Optimization technique, PSO (Particle Swarm Optimization), GA (Genetic Approach), Economic Load Dispatch (ELD), Economic Dispatch
Abstract
OPTIMISATION FOR MINIMUM VOLUME OF COUNTER FLOW TUBULAR HEAT EXCHANGER USING GENETIC ALGORITHM
Mohan Hari Soni
DOI: 10.17148/IARJSET.2018.5913
Abstract: The paper present a design optimization of tubular heat exchanger which is a family of shell and tube heat exchanger Out of numerous available optimisation methods genetic algorithm based optimization deals with natural evolution technique to find optimal solution of large population. The selection of optimum design for tube-in-tube heat exchanger also depend performance criteria such as space/size, weight. The heat exchanger is an important component of any energy system.. This article provides a historical perspective of the progress made in the optimization of tube-in tube heat exchanger for minimum volume. It is concluded among other in review the optimization of counter flow tube-in-tube heat exchanger have been rarely reported with minimum volume as criteria and taking genetic algorithm as optimization technique and therefore more work is needed for a comprehensive understanding and to improve the better selection of tubular heat exchanger device.
Keywords: Tubular Heat Exchanger, Genetic Algorithm, Geometrical Parameter, Optimization, Volume, Pressure Drop, Heat Duty
Abstract
SIMULATION ON VEHICULAR AD-HOC NETWORKS USING PROPOSED BBICR TECHNIQUE
Shuchi Smita, Ashutosh Kumar, K Suresh
DOI: 10.17148/IARJSET.2018.5914
Keywords: VANET, BBR, ICS, Packet Forwarding, Neighbor Node etc
Abstract
STUDIES ON BLENDING PROPERTIES OF POLY LACTIC ACID AND STARCH WITH METHYLENE DIPHENYL DIISOCYANATE
Dineshkumar Myilsamy, Sudhan Gowtham, Janani Saravanakumar, Durgadevi Rajendran
DOI: 10.17148/IARJSET.2018.5915
Abstract: Poly Lactic Acid (PLA) is a biodegradable polymer. PLA can be prepared by two chemical reaction, ring opening or direct condensation polymer. In order to increase the biodegradability of polymer and to decrease its high cost, an effect have been made to blend with starch, due to the low cost of starch. This blending has an effect of fully biodegradable material. By contrast, few bends have poor mechanical properties. In this analyze, starch is blended with low level of MDI (Methylene Diphenyl Diisocyanate).As it could be a good coupling agent between starch & PLA. The emphasizing of this blend with MDI was to determine its mechanical &thermal properties. Scanning Electron Microscope (SEM) on the observation of blend was also performed. No significant difference in water absorption occurred between the blend with or without MDI. Results revealed that the strengthening of blends in the development of biodegradable plastics.
Keywords: Biodegradable Blend; Poly(Lactic Acid)/Starch; Methylene Diphenyl Diisocyanate; Coupling Agent
