bluuebunny/crossref_metadata_2025 huggingface dataset:
Environmental Management Transfer and Environmental Performance by Japanese Firms in Thailand
Authors: Kimbara Tatsuo , Murakami Kazuma , Tapachai Nirundon
Published: August 2019

This paper analyzes the determinants of environmental management transfer and environ-mental performance by Japanese firms in Thailand. For sustainable development, all actors need to contribute to the reduction of environmental loads. This requirement is part of a corporate social responsibility. Data obtained from a questionnaire survey onJapanese subsi-diaries in Thailandareused in the analysis. Government regulation, environmental strategy, organization and environmental performance are the key factors in the analytical framework. This paper uses ordinary least square (OLS) method for estimation. The results of the analy-sis indicate that the environmental management system and green procurement by parent firms are significantly related to the international transfer of these practices. Top leadership and the goal of environmental management in the subsidiary are also significantly related to the transfer.The emphasis of environmental strategy leads to improved environmental perfor-mance. Specifically,water and air performance are related to top initiative. In contrast, CO2and waste performance are related to the priority of environmental management.This paper presentsnew findings in environmental management.
Fractionation and Mobility of Lead in Klity Creek Riverbank Sediments, Kanchanaburi, Thailand
Authors: Poopa Teerawit , Pavasant Prasert , Kanokkantapong Vorapot , Panyapinyopol Bunyarit
Published: August 2019

The sequential extraction method was employed to investigate the distribution and chemical fractions of lead (Pb) in Klity Creek sediments, Kanchanaburi, Thailand with the main objective to define the lead mobility in sediment and potential bioavailability in relation to sediment contamination levels. Samples were collected from a total of twelve sampling sites distributed from upstream of the polluted zone until the final downstream point at Srinakarin Reservoir. The results showed that the background value of total lead concentration in the sediments from this area was higher than those reported from other locations in Thailand. Sequential extraction results revealed that lead was mainly associated with the reducible fraction especially in the polluted zone in the vicinity of the ore dressingplant. This is different from the distribution of lead fractions upstream and downstream of the polluted area, i.e. reducible fraction was the major component upstream whereas strongly dissociated fractions (oxidizable and residual) were the major components for the downstream samples (at Srinakarin Reservoir). A significant amount of the lead fraction in the study area was rather mobile, suggesting it as readily available to living organisms. Most samples exhibited a medium risk level with Risk AssessmentCode (RAC) values of more than 10%.
Evaluation of Chemotherapy Contamination Following the Implementation of Closed System Transfer Devices
Authors: Sripakdee Warunsuda , Subongkot Suphat , Wattanawong Wannaporn , Onlaor Saroch
Published: August 2019

This studycompared thecontamination of the chemotherapeutic agent cyclophosphamide between using a conventional admixing procedure and closed system transfer devices (CSTDs). Surface wipes and urine samples were collected for two weeks before and two weeks after the CSTDs were used. The surface wipe samples were collected from critical areas in an aseptic dispensary unit and a chemotherapy patient care unit. The urine samples were collected from healthcare workers. Contamination from cyclophosphamide in the surface wipe samples was detected in fewer areas following the implementation of CSTDs. The mediancyclophospha-mide concentration in aseptic dispensary unit areas following the usage of CSTDs was significantlylower than what was detected when the conventional method (p=0.036, Mann-Whitney’s U-test) was used.Cyclophosphamide contamination was not detected in critical areas of the patient care unit following the use of the CSTDs.This study demonstrates the potential advantages of utilizingCSTDs to reduce contamination from chemotherapeutic agents in a work setting.
Landscape Agroforestry Modeling for a Sufficiency Economy in Huai Raeng-Klong Peed Watershed, Trat Province, Thailand
Authors: Chaipong Sukanya , Wachrinrat Chongrak
Published: August 2019

This research focused on land use modeling at the landscape scale based on the sufficiency economy philosophy (SE). Using land suitability and pair-wise comparison methods, the study aimed to determine key performance indicators of agroforestry under the SE, to develop a landscape agroforestry model under the SE and to apply the derived model to evaluate the suitability of exist-ing land uses within the study area. The key performance indicators were: the agroforestry indices (AFI)-organic matter, soil erosion, species diversity, income distribution, net present value, resources used,land holding size and acceptance of land use; and the landscape agroforestry indices (LAFI)-soil type, slope, distance to water resource, ability to access to main road, watershed class and conservation area.The AFI and LAFI were weighted based on expert judgment and used in weighted linear combina-tions to develop the landscape agroforestry model based on an AFI equation and an LAFI equation. The AFI equation was obtained from the land use types based on the SE level, and the LAFI equation was determined from the land suitability level (LS level). The final step showed that most land use types were categorized as being at the highest and high LS levels
Spatial Association between Environmental Noise Levels and Occurrence of Children Hearing Impairments in Ibadan Metropolis, Nigeria
Authors: Oguntoke Olusegun , Olatinwo Muideen , Taiwo Olalekan J
Published: August 2019

Reports in the past few decades indicate that Nigerian cities have high noise levels that is claimed to impact the health of residents negatively. The present article therefore examine the rela-tionshipbetween levels of environmental noise in selected residential areas in Ibadan metropolis with varying reported cases of hearing impairments (HI). Data on cases of HI were collected from one hospital; noise monitoring was conducted with the aid of a noise level meter while copies of questionnaire were administered to residents to elicit information on public perception. The distribution of reportedcases of HI among residential areas in Ibadan city showed varying magnitude (p< 0.001). About 75 % of children diagnosed with HI cases were within ages of 4-12 and female children suffered more (53.9 %). Sensorineural and conductive impairments accounted for 88.2 % of all reported HI cases.Monitored noise levels vary significantly among the selected residential area at each of morning, after-noon and evening (p < 0.05). Noise levels at morning and eveningshowed significant correlation with cases of HI reported at each of the 10 selected residential areas (r = 0.81; 0.82). Regression analysis showed that noise level explained 70.1 % of the spatial pattern of HI cases. Residents indicated that their neighbourhoods were noisy, that noise levels were on the increase and that ceremonies and generator use were major sources of noise. An integrated strategy for noise control is urgently required to stem the tide of noise pollution so as to safeguard human health in Nigerian cities.
A Hybrid Law Model for the Management of Waste Electrical and Electronic Equipment: A Case of the New Draft Law in Thailand
Authors: Manomaivibool Panate , Vassanadumrongdee Sujitra
Published: August 2019

Waste electrical and electronic equipment (WEEE) has been high on the environmental policy agenda of many countries due to its rapidly increasing volume and concerns over its toxicity and the critical metals it holds. To date, 59 countries have passed laws for WEEE management (ex-cluding State level legislation in the USA and Canada). Most of these laws are based on the principle of extended producer responsibility (EPR) but their treatment of allocation of respon-sibility and system operation differ considerably. This study reviews the implementation models of EPR which are classified into two broad groups: producer compliance schemes and governmental funds. The advantages and disadvan-tages of each model are analyzed and a synthesis proposed for Thailand in the form of a step-wise hybrid model, considering local conditions. A new draft law, the Act on the Management of Waste Electrical and Electronic Equipment and Other End-of-Life Products, differs from earlier drafts solely based on the governmental-fund model. Under the proposed system, producers of designated products would have an opportunity to develop their compliance plans individually or collectively. This would allow them to channel their experiences of working with EPR in other countries to the implementation of Thai WEEE management schemes. The compliance plans have to outline how they intend to support the free take-back obligations stipulated in the draft law. Collection targets can be added to improve system performance in the later years. Unlike a typical producer-led system, the government retains the power to levy product fees into the National Environmental Fund. This ensures the leverage in the case that the producer’s plans fail to function in a developing country context. Revenues would then be earmarked to support investments and campaigns to achieve the objectives of this law.
Species-specific Responses of Water Use by Urban Trees to Artificial Soil Drought: Results from a Small-scale Study
Authors: Tor-ngern Pantana , Panha Somsak
Published: August 2019

Studying tree water relations in response to soil drought improves our understanding of hydrological processes that are central to most ecosystem modelling. Urban greening is an approach to ameliorate rising carbon dioxide emissions whose effects are intensified in cities. Thus, an investigation of water relations with respect to drought of urban trees is of interest for effective watermanagement in urbangreening. This study examined responses of sap flux density, water use and stomatal conductance of potted saplings of three common street trees in Bangkok: Pterocarpus indicus (Pi), Swietenia macrophylla (Sm) and Lagerstroemia speciosa (Ls); under one-week non-irrigated treatment. Results showed that Piand Smmaintained their water use rate while Lsexperienced reduction in water use under soil drying condition. Further analyses on stomatal conductance and leaf area suggested that leaf drop, which may be induced by soil drought, resulted in increases of stomatal conductance. The counteracting effect of increased stomatal conductance and decreased leaf area seems to explain the unaffected water use in Piand Smunder drought conditions. However, a smaller compensatory effect was observed in Ls, resulting in significant reduction of water use in the non-irrigated saplings. Thus, these results indicate that Piand Smmay be preferred for street tree planting since they would be less affected by drought stress than Ls. Nevertheless, further investigations, including detailed measurements of tree hydraulic variables and longer experimental duration, are advised to confirm these findings for extrapolation to a larger scale.
Using Morphology and Genomic Template Stability (GTS) to Track Herbicide Effect on Some Submersed Aquatic Plants
Authors: Silprasit Kun , Ngamniyom Arin , Kerksakul Patarapong , Thumajitsakul Sirikul
Published: August 2019

This study aimed to detect the genotoxiceffects of glyphosate on aquatic plants by the RAPD-PCR technique. Native aquatic plants were screened for herbicide testing. The aquatic plant amounts and species were counted and a comparison was made between natural ponds and paddy fields for a total of 17 sites; paddy fields (site 1-10), ponds beside paddy fields (site 11-14), and natural ponds (site 15-17). At each studied site, 5 randomized sampling plots of 2 x 5 m size were performed. Generally, the natural ponds contained more aquatic plant diversity than the paddy fields. However, some species such as Najas gramineaDel. and Ceratophyllum demersumLinn. were found onlyin the paddy fields and natural ponds, respectively. The effect of glyphosate and butachlor on aquatic plants was observed. Changes in color and morphology were found to be related to higher dose treatment. The RAPD profiles were analyzed for the study of genomic template stability (GTS). Results indicated that the GTS of Hydrilla verticellata was lowest (7.14 %GTS),followed byUtricularia aurealour (30.77 %GTS), N. gramineaDel. (38.71 %GTS), and Nitellasp. (59.38 %GTS). These results confirmed the effects of herbicides on abnormal morphology and DNA instability. In addition, results of genotoxicity of glyphosate on some aquatic plants (Hydrilla verticellata, Utricularia aurea lour, and N. graminea Del.), and macroalgae (Nitella sp.) verified that the method of RAPD-PCR could be used as a biomarker to detect herbicide contamination in aquatic ecological systems.
Removal of Copper (II) from Aqueous Solutions Using Cuttlebone as Bio-adsorbent
Authors: Vibhatabandhu Pathompong , Srithongouthai Sarawut
Published: August 2019

Biosorptionis an effective process for removal and recovery of heavy metal ions from aqueous solutions. In the present study, batch adsorption experiments were carried out for the removal of copper (Cu II) from aqueous solutions using cuttlebone powder (<100 μm)as a bio-adsorbent. The effects of initial pH, adsorbent dosage, initial concentration, and contact time on adsorption efficiency and capacity were studied to evaluate the optimum conditions for copper removal.The results found optimal conditions at initial pH of 5.0, 10 g L-1cuttlebone, 500 mg L-1initial concentration of Cu II in solution, and 150 min of equilibrium time.The Langmuir isotherm and pseudo-second order kinetic model were fitted to the experimental adsorption data. The maxi-mum adsorption capacity calculated from theLangmuir isotherm was 54.05 mg g-1. This result shows that cuttlebone is an effective bio-adsorbent, constituting a promising, efficient, low-cost, and eco-friendly technology bio-sorbent for reducing copper pollution during wastewater treatment.
The Utilization of Cashew Shell Residues and Grease Waste for Charcoal Briquette Production
Authors: Pongthornpruek Supaporn
Published: August 2019

This study aims to investigate appropriate utilization of mixing grease waste (GW) from a canteen’s grease trap with cashew shell charcoal (CSC) to produce briquette fuel by weight (GW:CSC) in the ratio 1:2, 2:2, 3:2 and 4:2. All different mixing ratios used starch paste as binding agent. The physical and chemical properties of briquette fuel were analyzed to verify its heating value components as specified by the American Society for Testing and Material (ASTM). In addition, in terms of heat utilization efficiency and pollution aspects, the content of carbon monoxide (CO) emissions from combustion were measured. The result of this study shows that the mixture of all components could produce charcoal briquette fuel. All the different mixing ratios have heating values exceeding the minimum requirement under the Thai Community Product Standard (tcps 238/2004). The high heating value ranged from 7724-8109 cal g-1on a dry basis. The heat utilization efficiency of briquette fuel was between 5.15-12.43 min. The charcoal briquette in 4:2 ratio had the least time of boiling at 5.15 min. In regard to air pollution aspect, the average concentration of CO emissions from briquette fuel were 151.6, 232.4, 210.5 and 292.5 ppm in the ratio 1:2, 2:2, 3:2 and 4:2, respectively. The heating value of briquette fuel was higher than the heating value of other briquette fuel reported in previous studies. Therefore, the cashew shell mixed with grease waste would make an viable alternative energy source for incinerators, that can also minimize waste.
Comparison of CO2 Emissions from Vehicles in Thailand
Authors: Nilrit Sutthicha , Sampanpanish Pantawat , Bualert Surat
Published: August 2019

Emission of carbon dioxide (CO2), a greenhouse gas, from typical passenger vehicles in Thailand was investigated using a chassis dynamometer in the Automotive Emission Laboratory. The vehicle running method was controlled under the standard Bangkok driving cycle. CO2 emissions were measured at three different speeds for the following four vehicle types commonly used in Thailand: heavy duty diesel (HDD), light duty diesel (LDD), and light duty gasoline (LDG) vehicles and motorcycles (MC). HDD vehicles had the highest average CO2 emission rate, followed by LDD, LDG and MC at 1,198.8±93.1, 268.4±21.3, 166.1±27.7 and 42.5±6.1 g km-1, respectively; all values were significantly different (p < 0.05) from each other. The effect of different fuel types, including diesel, gasoline 91, gasohol 95, gasohol 91, liquid petroleum gas (LPG) and natural gas for vehicles (NGV), on the CO2 emission level was also compared. HDD vehicles had a higher rate of CO2 emission when using either NGV or diesel, while LDD vehicles emitted more CO2 with diesel than with NGV. For LDG vehicles, more CO2 was emitted with gasohol 91 than with gasohol E20, LPG or NGV. Finally, MC had a higher average CO2 emission rate with gasohol 95 than with gasoline 91 and gasohol 91 at any vehicle speed. The CO2 emission rates obtained in this study can be used as a basis to create a database that supports development of an efficient transportation management system and reduced vehicular emission of greenhouse gases in Thailand.
Treatment of Piggery Wastewater by Three Grass Species Growing in a Constructed Wetland
Authors: Pongthornpruek Supaporn
Published: August 2019

The study aimed to investigate the efficiency of piggery wastewater treatment by the surface flow constructed wetland with three different grass species; bulrush (Scirpus spp.), cattail (Typha angustifoliaL.), and vetiver grass (Vetiveria zizanioides L.). All pilot units were used for wastewater treatment by the flowing surface water system, giving a system carrying capacity of several 0.18 m3 d-1 of HLR with a 5 day hydraulic retention time (HRT). The results showed that the cattail pilot showed improvement in several wastewater quality indicators: biochemical oxygen demand (BOD), chemical oxygen demand (COD) and total kjeldahl nitrogen (TKN) with efficiencies of 80.59, 84.11 and 88.08 %, respectively. The vetiver grass was most efficient of the three grasses in treating total phosphorus (TP). The efficiency of constructed wetland treatment using bulrush and cattail for TP was not significantly different. The piggery wastewater treatment with a 5 day HRT was able to reduce the dirtiness in wastewater but ultimately was unable to meet the wastewater quality standard. Thus, the periods for hydraulic retention time should be increased to establish the optimal retention time for effective wastewater treatment.
Flooding in Bangladesh: A Geographical Advantage & Disadvantage of Times
Authors: Islam Jahidul
Published: August 2019

Bangladesh is prone to flooding due to being situated on the Ganges Delta and the many distributaries flowing into the Bay of Bengal. Coastal flooding, combined with the bursting of river banks is common, and severely affects the landscape and society of Bangladesh. 80% of Bangladesh is floodplain, and it has an extensive sea coastline, rendering the nation very much at risk of periodic widespread damage. Whilst more permanent defenses, strengthened with reinforced concrete, are being built, many embankments are composed purely of soil and turf and made by local farmers. Flooding normally occurs during the monsoon season from June to September. The convectional rainfall of the monsoon is added to by relief rainfall caused by the Himalayas. Melt water from the Himalayas is also a significant input.
Aristotle’s viewpoint on Political Thinking
Authors: Farah Raaid al
Published: August 2019

We will discuss about the great philosopher Aristotle. First we will see his bibliohgraphy. Then we will focus on his works. Then we will discuss about the thinking of Aristotle. His political views and contributions are to be focused in this artile. Aristotle (b. 384 – d. 322 BCE), was a Greek philosopher, logician, and scientist. Along with his teacher Plato, Aristotle is generally regarded as one of the most influential ancient thinkers in a number of philosophical fields, including political theory.
Georg Wilhelm Friedrich Hegel: Contribution to the Philosophy
Authors: Shamoun Bahir Aban
Published: August 2019

There were many philosophers like Hegel who contributed in many ways in the history of political philosophy. Hegel was a significant philosopher in the philosophy. He gave many arguments on various aspects. His views will be discussed in below. Then we will be clear about his contributions.
Retransmission and Congestion Control of Hop-By-Hop Protocols and End-To-End Protocols in Wireless Sensor Networks
Authors:   M. Phil Research Scholar, Department of Computer Science, Vels Institute of Science, Technology and Advanced Studies,(Vistas),Chennai, India., Mageswari Mrs. P. Geetha , Jayakarthik Dr. R. ,   Associate Professor, Department of Computer Science, School of Computing Sciences, Vels Institute of Science, Technology and Advanced Studies (Vistas), Chennai, India., Nidhya Dr. M.S. ,   Assistant Professor, Department of Computer Science, School of Computing Sciences, Vels Institute of Science, Technology and Advanced Studies (Vistas), Chennai, India.
Published: August 2019

Wireless Sensor Networks serene of number of nodes, which monitors the environment. Monitored data is send to the base station by a sensor node. Information may be lost at the sender side or in intermediate node itself. This lost information can be rectified by number of protocols. Generally loss recovery is done by hop-by-hop and end-to-end in WSN. This paper analyses and compares shop-by-hop protocol and end-to-end in wireless sensor networks (WSNs). We examine and compared hop-by-hop and end-to-end protocols based on some constraints such as retransmission and reliability. We classify the transport protocols into two groups such as hop-by-hop and end-to-end. Hop-by-hop protocol and end-to-end protocols are compared based on the parameter such as retransmission and congestion control, time delay and energy efficiency. We finalized that hop-by-hop protocols are best suited for retransmission and time delay; end to end protocols are suited for congestion control and energy efficiency.
Secure Cloud Storage using Secret Key Sharing and Proxy Re-Encryption Based Third Party Auditing Service
Authors:   Department of Information Technology, Prakasam Engineering College, Kandukur, India., Ramesh Dasari Venkata
Published: August 2019

Cloud Computing (CC) provides an easy way to access and store the information by vast remote servers, instead of using personal computer. There is no physical control over personal data by user, hence some security issues may arise for users and organization to secure the data in cloud. The sensitive data can be hacked by attackers, so the integrity of data stored in cloud is a major concern for users. In this research work, the data integrity can be ensured by using Third Party Storage Auditing Service (TPSAS), where it satisfies all the requirements of users in cloud. The ultimate aim of this research is to avoid the unauthorized access of user’s data stored in the cloud. In this paper, two major problems are considered for attaining the integrity of data in the cloud. The first one is, the unauthorized user tries to modify the data, which is solved by the proposed TPSAS. The second problem considered in this research is, since the Cloud Service Provider (CSP) is semi trustable it can be malfunctioned at any time, which can be solved based on the secure secret key sharing algorithm and proxy re-encryption methodology. The secure secret key sharing is implemented based on the Shamir key sharing algorithm and the proxy re-encryption process is implemented based on the bear and lion proxy re-encryption methodology.
A Unique Procedure for Accurate Recognition of Software Failures A Software Reliability Growth Model Based on Special Case of Generalized Gamma Mixture Model
Authors:   Department of Computer Science and Engineering, GITAM University, Visakhapatnam, Andhra Pradesh, India., Medapati Jagadeesh , Jasti Anand Chandulal Jasti, ,   Department of Computer Science and Engineering, GITAM University, Visakhapatnam, Andhra Pradesh, India., Rajinikanth TV ,   Department of Computer Science and Engineering, Srinidhi Institute of Technology, Hyderabad, Telangana, India.
Published: August 2019

This paper pinpoints to detect and eliminate the actual software failures efficiently. The approach fit in a particular case of Generalized Gamma Mixture Model (GGMM), namely Weibull distribution. The approach estimates two parameters using Maximum Likelihood Estimate (MLE). Standard Evaluation metrics like Mean Square Error (MSE), Coefficient of Determination (R2), Sum of Squares (SSE), and Root Means Square Error (RMSE) were calculated. For the justification of the model selection and goodness of fit various model selection frameworks like Chi-Square Goodness of Fit, Wald’s Test, Akaike Information Criteria (AIC), AICc and Schwarz criterion (SBC) were also estimated. The experimentation was carried out on five benchmark datasets which interpret the considered novel technique identifies the actual failures on par with the existing models. This paper presents a novel software reliability growth model which is more effectual in the identification of the failures significantly and help the present software organizations in the release of software free from bugs just in time.
An Expert-Approved R&D Model
Authors:   Faculty of Industrial Management, Universiti Malaysia Pahang, Pahang, Malaysia., Asim Zeeshan , Teck Tan Seng ,   Faculty of Business Communication and Law, INTI International University, Nilai, Malaysia., Sorooshain Shahryar ,   ERAS, Universiti Malaysia Pahang, Pahang, Malaysia.
Published: August 2019

The initial intention of this descriptive analysis is to confine closer encounter regarding the potential impact of supporting management discipline on R&D in public organization among developing countries. In this, context prior theories on R&D in Public organizations draw some conceptual models with limited narratives on how to manage supporting management discipline. Some prior studies draw capabilities prospective related to knowledge, innovation and technology management as supporting management discipline that shares their boundaries with R&D under individual context. Based on their relationship this study developed a conceptual framework to draw significance of supporting management discipline on R&D that has been long been striving to convene capability prospective among developing countries. The author analysis based on R&D fit to the context of public organization and portrays case of Pakistan under Focus Group Discussion. The experts from 81 R&D of public organizations were involved; where 195 participants are, compose into 41 Focus Groups. The outcome of Focus Group Discussion shows that process, infrastructure and strategic are consider as potential criteria’s that draw relationship among capabilities related knowledge, innovation and technology management disciplines.
Worm Gearbox Bearing Life Prediction
Authors:   Engineering, College of Engineering Pune, India., Majali Ajeet Arvind , Jaybhaye Dr. Maheshwar Dinkar ,   Production & Industrial Management, College of Engineering , Pune, India.
Published: August 2019

Industrial gearboxes are designed for minimum 3 to 5 years of life considering normal working conditions. Theoretical life of gearbox system can be predicted by calculating the life of individual components of the gearbox like bearings, coupling and gear-pair. There is significant amount of research work done on estimating individual component life perdition however combined life prediction of a gearbox is a quite complex phenomenon. The challenge in developing a single life prediction model for variety of gearboxes available in today’s market. There is a huge variety in their types, sizes, costs, application conditions (indoor, outdoor, marine, aerospace), safety requirements (domestic to hazardous). Providing a common solution that address all these is near to impossible. Major cause of early gearbox failure is wrong selection for application, improper installation, contaminants and excessive shock and impact loads. Vibration measurement gives an early indication of failure of rotating parts in gearbox which are primarily bearings and gear-pair. This research focuses on step by step approach to calculate the life of bearings in a gear box and gearbox life prediction models. The methodology followed can be used for other types of industrial gearboxes.
Gain Enhancement Modelling of Coplanar Waveguide fed Circular Monopole Antenna with EBG Placement
Authors:   Research Scholar, Department of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India, Aradhyula* Raghavaraju , Krishna T V Rama ,   Professor, Department of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India, Madhav BTP ,   Professor, Department of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India
Published: August 2019

A circular monopole antenna with coplanar waveguide feeding is designed for wideband applications. Different electromagnetic bandgap structures are placed beneath the antenna ground plane to improve the gain and the radiation efficiency. The depicted model occupies the dimension of 50X50X1.60 mm on FR4 substrate with dielectric constant of 4.3. Aerial operating in the dual band of 1.5-3.6 GHz (GPS, LTE, Bluetooth and Wi-Fi applications) and 4.8-15 GHz (WLAN, X-Band and Satellite communication applications) with bandwidth of 2.10 and 10.20 GHz respectively. The final novel antenna design provides good correlation with simulation results.
An Automated Brain Tumour Boundary Detection using Region based Segmentation Technique along with SVM Classifier
Authors:   is a M.E. Research Scholar at Department of C.S.E., University Institute of Engineering, Chandigarh University (CU), Gharuan (Mohali), Punjab, India., Dharnia* Sunita , Wasson Er. Vikas ,   is working as an assistant professor in the Department of Computer Science and Engineering, Chandigarh University (CU), Gharuan (Mohali), Punjab, India.
Published: August 2019

We presents a fully automated method for an automated brain-tumour boundary detection using region based segmentation technique along with SVM Classifier of Magnetic Resonance Imaging (MRI).The procedure is based on artificial intelligence technique and classification of each super-pixel in MRI. A number of novel image features extraction approaches including intensity-based, texture based, fractal analysis and curvatures are calculated from each super-pixel within the entire brain area in MRI to ensure a robust classification. Brain tumor is the malignant types of cancer and their classification in earlier stage is biggest issue. While curable with early classification is useful, only extremely trained specialists are capable of accurately recognizing the cancer from skin MRI data. As expertise is in limited contribute, an automated systems capable of classifying cancer could save human lives, and also help to reduce unnecessary MRI, and reduce extra costs. On the way to achieve this goal, we proposed a Brain Tumour Detection and Classification System (BTDCS) that combines recent developments in machine learning with Support Vector Machine (SVM) structure, creating hybrid algorithm of threshold based segmentation with Maximally Stable External Regions (MSER) that are capable of segmenting accurate super-pixel region from MRI, as well as analyzing the detected area and surrounding tissue for malignant. Using threshold based segmentation technique, the foreground and background component is separated into two regions. To improve the segmentation results, MSER is used with the novel concept of region detection and feature extraction mechanism. The proposed system is evaluated using the largest publicly accessible standard BRATS 2015 dataset of MRI, containing benign and malignant images. When the evaluation parameters of proposed work is compared with a few other state-of-art methods, the proposed means attains the best performance of 98.2% concerning classification accuracy using only the MSER approach and SVM as classifier. The ultimate aim of this research is to devise an automated experimental approach that can segment the tumor boundary in a fast and efficient manner.
Liver Disease Prediction using Machine-Learning Algorithms
Authors:   IoT Research Associate, JPA Technologies, Chennai, India., H* Mehtaj Banu
Published: August 2019

machine learning is a part of man-made consciousness that utilizes an assortment of measurable, probabilistic and enhancement methods that enables PCs to "learn" from past precedents and to identify hard-to-recognize designs from huge, boisterous or complex informational indexes. This capacity is especially appropriate to restorative applications, particularly those that rely upon complex proteomic and genomic estimations. Therefore, machine learning is every now and again utilized in disease conclusion and discovery. All the more as of late machine learning has been connected to disease guess and forecast. This last mentioned approach is especially intriguing as it is a piece of a developing pattern towards customized, prescient drug. In collecting this audit we led a wide overview of the distinctive sorts of machine learning techniques being utilized, the kinds of information being coordinated and the execution of these techniques in growth forecast and visualization. Various distributed examinations additionally appear to come up short on a fitting level of approval or testing. Among the better composed and approved investigations unmistakably machine learning techniques can be utilized to generously (15-25%) enhance the precision of foreseeing disease powerlessness, repeat what's more, mortality. At a more major level, it is additionally apparent that machine learning is likewise enhancing our fundamental comprehension of disease improvement and movement.
Design of an Efficient Automated Closed-Loop Irrigation System for Stable Remote Access to Field Conditions
Authors:   School of Electronics Engineering, Vellore Institute of Technology, Vellore, India., A* Jabeena. , Singh Tarandeep ,   School of Electronics Engineering, Vellore Institute of Technology, Vellore, India., M Jasmin. ,   School of Electronics Engineering, Vellore Institute of Technology, Vellore, India.
Published: August 2019

Many major metro cities face a water crisis today. It has been predicted that Bangalore will become unlivable by 2020. Proficient water administration is a noteworthy worry in many agricultural sites in these parched zones. As engineers, it our duty to help avert this crisis. Automated closed loop irrigation systems offer a potential answer in order to help site-specific water system administration which will enable producers to increase their profitability while also sparing water. This project puts forward a humble design of an automated irrigation system controlled via closed-loop operation, employing a host of sensors to attain data to check against the predetermined threshold values. The collected data should be available to the agriculturalist at all times to maximize efficiency of the agricultural process. The Internet of Things (IOT) is one of the technological advancements which can provide a remote viewing ability to the system by giving the user a platform to analyze this data. With more development in the field of IOT expected in the coming years, these systems can be made more efficient, much faster and cost lesser.
UML Activity Diagram Use for Functional Test Suit Generation and Redundancy Removal Supported Model Driven Testing
Authors:   IT Department, Bharati Vidyapeeth Deemed to be University College of Engineering, Pune, India., G.* Runal , Jadhav Prof. Pramod ,   IT Department, Bharati Vidyapeeth Deemed to be University College of Engineering, Pune, India., Pawar Prof. Pruthviraj R. ,   Computer Department, Bharati Vidyapeeth College of Engineering, Navi Mumbai, India.
Published: August 2019

The method mixes up the extended finite state machine & UML activity diagram to generate the test model. H good coverage of test of all probable scenarios. Here an activity diagram describes the operation of the system, decision ere we have considered different coverage criteria for generating the test paths from the model for node transition from one action state to another. Also flow of control is represented. These will emphasis on sequence and condition of flow. It also gives idea about internal nodes. Refactoring is the process of altering an application’s source code of its external behavior is not changing. The purpose of code refactoring is to improve some of the nonfunctional properties of the code, such as readability, complexity, maintainability and extensibility. Refactoring can extend the life of source code, preventing it from becoming legacy code. The refactoring process makes future enhancements to such code a more pleasant experience. Refactoring is also known as reengineering. Test cases tend to be massive in range as redundant take a look at cases square measure generated because of the presence of code smells, thus the requirement to scale back these smells. Methods Statistical Analysis: This analysis adopts a proactive approach of reducing action at laws by police investigation the lazy category code smells supported the cohesion and dependency of the code and applying the inline category refactoring practices before take a look at case generation there by considerably avoiding redundant take a look at cases from being generated.
Communicating Secure Based Feeling: Content Analysis on Indonesian Police Official Account
Authors:   Communication Studies, Dr Soetomo University, Surabaya, Indonesia., Susilo* Daniel , Prabowo Tyan Ludiana ,   Communication Studies, University of Indonesia, Jakarta, Indonesia., Putranto Teguh Dwi ,   Communication Studies, Airlangga University, Surabaya, Indonesia.
Published: August 2019

The development of social media in Indonesia, especially instagram has changed the paradigm of public relations in Indonesia. In the past five years, data from several studies have shown a change in the use of conventional public relations media towards the use of information-based technology and big data. This article will describe descriptively how security is built by Indonesian police social media. This article uses Krippendorf content analysis in collecting data and analyzing data. The results of the study showed that the security was successfully built by the Indonesian police through engagement on Instagram.
Efficient Multi-Keyword Search Through Ciphertext Data in the Cloud
Authors:   Computer Science and Engineering, PDACE, Kalaburagi, Karnataka, India., Soma Dr. Shridevi , Kavalgi Vinaya S ,   Computer Science and Engineering, PDACE, Kalaburagi, Karnataka, India.
Published: August 2019

Cloud computing has become essential for storing sensitive data sets that are centralized in the cloud. The need for privacy and protection of files and documents has increased day by day. Data users typically dump the most powerful information in cloud storage to prevent third parties from accessing data in cloud storage. In legacy systems, end users safely retrieved encrypted information using keyword search. However, in existing systems, we recommend only individual keywords and Boolean keywords, which is not yet sufficient to ensure efficient data usage for a vast number of data users and the number of documents in the cloud repository. This work aims to develop a systematic approach to searching multi keywords in the cloud with ciphertext data. The cloud server carries out risk-free investigations with no clear information about keywords and trap doors. The client or user uses multiple keywords to perform data retrieval. When the client enters a question for many words, the server breaks the question into one word and retrieves the word from the index. In this task, the cipher text policy attribute-based encryption (CPABE) algorithm is used to perform encryption of files and documents. Experimental results show 95% accuracy with a data set size of 1000, for both single and multiple keyword searches. Because previous research were limited to single searches, this new work performs multiple keyword searches with unique security aspects to create a multi-keyword search system rather than the cryptographic data in the cloud.
Hybrid Neuro-Fuzzy Classification Algorithm for Social Network
Authors:   Uttrakhand Technical University Dehradaun,India, Sharma* Anu , Sharma Dr. M.K ,   Amrapali Institute Haldwani, India, Dwivedi Dr. R.K ,   Teerthanker Mahaveer University,Moradabad, India
Published: August 2019

People tend to build and maintain their friendship relying on SNS nowadays. Thus, the problem of how to organize the social network accurately and automatically. In this paper, a hybrid neuro-fuzzy approach is used. . Many aspect impact the error values like input/output, membership functions, the training data arrays, and the number of epochs needed to train the model. This paper is based on hybrid Neuro-Fuzzy concept for testing the link prediction for facebook data. We use Matlab to calculate average testing Error, View Generation Rule, Output Surface.
Design and Implementation of a Solar Tree Structure for Efficient LED Street Lighting
Authors:   Professor, EEE Department, CMR Institute of Technology, Bengaluru, India., K Dr. Chitra , Ahmed Kashif ,   Assistant Professor, EEE Department, CMR Institute of Technology, Bengaluru, India.
Published: August 2019

This paper shows the design of solar tree PV system for street lighting. In current days with enhancing the population and the energy demand, the Renewable Energy Source (RES) plays a major role and also, this energy could not cause any pollution and other natural hazards. The solar energy is more suitable one for this among other RES. India is a highly populated country, so the merit of such a solar energy that needs a very small space to produce energy efficiently. Flat or roof top mountings of PV systems are needed large land areas and problems in production of PV systems voltage due to partial shading of PV panels. Also, the scarcity of land is greatest problem in cities and particularly in urban areas in India. In order to overcome these harms, Solar Tree Structure Power Generation (STSPG) is developed. Hence, this article presents a design and fabrication of 120 Watts STSPG pilot plant for efficient LED street light application. The design structure of STSPG includes the support structure used to represent the leaves, the height, orientation and tilt angle of these leaves.
Isomorphism and Automorphism in Closed Kinematic Chains
Authors:   Mechanical Engineering Section, University Polytechnic, Jamia Millia Islamia (Central University), New Delhi, India., Rizvi* Dr.Syed Shane Haider
Published: August 2019

Effective mechanisms are the need of growing engineering world, the roots of which were found long back in the history of simple machines, but in today’s scenario it changes the pace of development of any country by the use of robots, numeric control machines, automated transfer lines, space exploration programs defense systems etc. for this sound and effective mechanisms are required everywhere. Hence demand for the development new effective mechanisms increases day by day. At the starting phase in the designing of mechanisms structural requirements obtained from the functional requirements, but if there is some error in choosing the unique functional requirement to be converted into the structural requirement there may be a chance that the mechanism will not work or if it works it may be an isomer of some other kinematic chain in that situation it is a loss of effort, time of the designer and also the loss of money. The present work facilitates the designer to check the isomorphism and automorphism during the conceptual phase of designing the kinematic chain.
Evaluation of the Vestibular Sense and Psychological Characteristics of Highly Skilled Athletes Who Specialize in Sailing during the Competition Period
Authors:   Federal Science Center for Physical Culture and Sport, Moscow, Russian Federation., Abramova* Tamara Fedorovna , Stashkevich Svetlana Sergeevna ,   Federal Science Center for Physical Culture and Sport, Moscow, Russian Federation., Nikitina Tatyana Mikhailovna ,   Federal Science Center for Physical Culture and Sport, Moscow, Russian Federation.
Published: August 2019

During the competition period highly skilled athletes who specialize in sailing experience fatigue, which manifests itself in the form of coordination disorders in maintaining balance. Therefore, it is important to determine the level and dynamics of the vestibular sense development, provide forecasts and perform the professional selection of athletes into the team. The research on the biomechanical process of maintaining the vertical posture by athletes in this kind of sport and the relevant psychological characteristics is reduced to establishing a qualitative and quantitative relationship between the coordinating properties of an athlete and their main psychological characteristics.
An Optimal Solution in cloud computing for Load Balancing using Genetic Algorithm
Authors:   Asst. Prof,Goswami Ganesh Dutta Sanatam ,Information Technology., Sharma* Shweta , Pandey Shweta ,   Research Scholar,Desh Bhagat University ,CSE,Mandi Gobingarh
Published: August 2019

Cloud computing is a research trend which bring various cloud services to the users. Cloud environment face various challenges and issues to provide efficient services. In this paper, a novel Genetic Algorithm based load balancing algorithm has been implemented to balance the load in the network. The literature review has been studied to understand the research gap. More specifically, load balancing technique authenticate the network by enabling Virtual Machines (VM). The proposed technique has been further evaluated using the Schedule Length Runtime (SLR) and Energy consumption (EC) parameters. Overall, the effective results has been obtained such as 46% improvement in consuming the energy and 12 % accuracy for the SLR measurement. In addition, results has been compared with the conventional approaches to validate the outcomes.
A Fuzzy Based Techniques For Energy Efficient Cluster Head Selection For Wireless Sensor Network
Authors:   Electronics and Communication Engineering, National Institute of Technical Teachers’ Training and Research , Chandigarh, India., Rai* Abhishek , Sharma Dr. Kanika ,   Electronics and Communication Engineering, NITTTR, Chandigarh, India.
Published: August 2019

WSN is split into various clustering nodes in order to obtain proper arrangement and network stability and thus drags the system's lifetime. Each detector node transmits the necessary data to cluster head of each cluster in each cluster-based WSN. Cluster head is liable for collecting the data gathered and forwarding it to sink of network deployed. This manuscript suggests an enhanced Fuzzy-based CH selection algorithm that observes the leftover energy, node compactness and sink distance as input to the Fuzzy inference system. For each node, the eligibility index is calculated to select the head of the cluster. By taking in account the probability assigned to , this algorithm chooses the best candidate for place of the cluster advisor. To each sensor node and helps to increase the energy efficient of network.