bluuebunny/crossref_metadata_2025 huggingface dataset:
Collaborative Governance Approaches in Dealing with Financial Deficits in the JKN-KIS Program in Indonesia
Authors: Janah Miptahul , Rahayu Amy Y. Sri
Published: June 2020

Objective - The imbalance in income and expenditure in the JKN-KIS program clearly illustrates the main causes of its financial balance deficit. The government has implemented many top-down programs to overcome this issue, but these efforts have not yet shown any satisfying outcomes. The collaborative efforts in dealing with budget deficit problems in the JKN-KIS program have been carried out by many actors. The extant literature suggests it should be noted that the components are comprehensive and appropriately used in answering problems. This study consists of a theoretical discussion focusing on the potentials and challenges of bottom-up collaborative governance concept as well as a practical example of how this concept works in dealing with financial deficits in the National Health Insurance (JKN) program in Indonesia.
Methodology/Technique – This study aims to explain the tendency of collaborative governance approach used. This study is conducted using a post-positivism approach with qualitative and quantitative data analysis using 13 state and non-state institutions for the period of the JKN from 2014 to 2018.
Finding & Novelty - The results of the study show that there is no dominant tendency in each existing model. However, there are a “red thread” between collaborative governance models formulated. The results suggest that a bottom-up approach emerges as a critique to the old scheme of a top-down approach in which the participation of the citizens or NGOs are not proportionally given. This finding implies that in adopting the bottom-up collaborative governance concept there are significant challenges for the collaborative governance approach in the future.
Type of Paper: Review
JEL Classification: I13, I18.
Keywords: Financial Deficit; Health Insurance; Collaborative Governance; Bottom-up.

Reference to this paper should be made as follows: Janah, M; Rahayu, A.Y.S. 2020 Collaborative Governance Approach in dealing with financial deficits on JKN-KIS Program in Indonesia, Global J. Bus. Soc. Sci. Review 8(2): 124 – 131. https://doi.org/10.35609/gjbssr.2020.8.2(6)
Land Application of Sewage Sludge: Physiological and Biochemical Response of the Rio Grande Tomato
Authors: Charchar Nabil , Elafri Ali , Rais Redwane , Ismahen Halassi
Published: June 2020

Treated wastewater produces sewage sludge as a by-product that may have beneficial
implications on agricultural practices. The effects of sludge amendments on growth,
morphological and biochemical characteristics of the agro-industrial Tomato cultivar Rio
Grande were observed. A pot culture experiment was carried out during 4 months (16
February 2019 to 18 June 2019), at an experimental green house in the locality of Salah
Soufi, Guelma, north-eastern Algeria. There were significant differences between soil and sewage sludge samples. Total nitrogen (20.58 mg/kg) was more available in sewage sludge than in soil (N = 2.09 ± 0.3 mg/kg). In contrast, sludge contained less phosphorus and organic matter than soil. The observation of the morphological characteristics of the plants showed significant variations between the treatments. The germination rates for treated soils decreased significantly to reach 50%, compared to the control. Growth patterns (dry and fresh weight of leaves and roots) changed significantly (P <0.05) between the treatments. Chlorophyll contents of plants in treated soils were more than twice as high as those of the control, but started decreasing at 75% amendment rates.
Design guidelines for automated floor plan generation applications – target group survey, results and reflections
Authors: Nisztuk Maciej , Kościuk Jacek , Myszkowski Paweł
Published: June 2020

This article presents the results of a survey regarding architects’ expectations towards software for automated floor plan generation (AFPG) and optimisation processes in architectural design. More than 150 practising architects from Poland and abroad took part in the survey. Survey results were then extracted, ordered and interpreted with the use of data mining. The survey structure, methodology and analytical tools used are described in the paper.
The phenomenon of the military cemetery in Galicia
Authors: Stasyuk Olena
Published: June 2020

The article analyzes the main military cemeteries found in Galicia, their types, forms, ideological affiliation and state of preservation. Preventive measures for the preservation of historic military cemeteries are proposed and the possibility of forming new ones is considered.
Rozważania nad periodyzacją dziejów polskiej architektury po 1918 roku zainspirowane wystawą „Tożsamość. 100 Lat polskiej architektury”
Authors: Trammer Hubert
Published: June 2020

Zaproponowana przez twórców wystawy Tożsamość. 100 lat polskiej architektury periodyzacja dziejów polskiej architektury po roku 1918 z podziałem na okresy 1918−1939, 1939−1956, 1956−1970, 1970−1989 i 1989−2018 budząc wątpliwość stanowi punkt wyjścia do refleksji, przeglądu innych periodyzacji dziejów architektury tego czasu oraz przedstawienia własnych propozycji w tym zakresie.
Zieleń miejska Lwowa na przykładzie wybranych obiektów
Authors: Dudkiewicz Margot , Durlak Wojciech , Szmagara Mariusz , Bevz Mykola
Published: June 2020

Lwów to największe miasto zachodniej Ukrainy. Autorzy pracy omawiają trzy parki publiczne położone w centrum miasta, przedstawiając ich zarys historyczny, kompozycje i układ przestrzenny oraz obiekty małej architektury. Należą do nich: Park Iwana Franki, Centralny Park Kultury i Wypoczynku im. Bohdana Chmielnickiego oraz Park Stryjski.  Te publiczne miejskie założenia parkowe posiadają interesującą historię powstania i przekształceń, pełnią funkcje wypoczynkowe i rekreacyjne, porasta je cenna dendroflora oraz stanowią miejsce bytowania ptaków. W parkach wyznaczone są wygodne ścieżki i trasy do spacerowania, a w ich obrębie znajdują się spersonalizowane na potrzeby miasta Lwowa obiekty małej architektury (kosze na śmieci, ławki, latarnie), a ponadto również place zabaw, altany czy pomniki.
Przebudowa Potsdamer Platz jako przykład współczesnego kształtowania przestrzeni publicznej
Authors: Szafranek Anna
Published: June 2020

Celem artykułu jest zaprezentowanie przestrzeni publicznej, jaką jest Potsdamer Platz, wykreowanej w miejscu o charakterze historycznym i symbolicznym dla Berlina. Przestrzeń ta została zaprojektowana zgodnie z aktualną wiedzą budowlaną i wyobraźnią architektów tak by umożliwić realizację potrzeb współczesnego człowieka. Interesujące może być również odniesienie i porównanie wybranych form zaspokajania potrzeb w przestrzeni publicznej miast w przeszłości do prezentowanego w niniejszym artykule ukształtowania Potsdamer Platz oraz jego bezpośredniego otoczenia. Zaprezentowany rys historyczny dotyczy starożytnej agory i średniowiecznego miasta. Tak nieco rozszerzony temat pozwala na pełniejsze uwypuklenie zmian zachodzących w sposobie kształtowania przestrzeni publicznej. Można się również pokusić o poszukiwanie odpowiedzi na w sposób naturalny nasuwające się pytanie o kierunki zmian w przestrzeni publicznej w przyszłości.
Revisited the localization of fortifications of the 18th century on the surroundings of village of Braha in Khmelnytsky region
Authors: Harlan Oleksandr
Published: June 2020

The results of the survey of the territories of the village Braga in the Khmelnytsky region, which is in close proximity to Khotyn Fortress, are highlighted in this article. A general description of the sources that were the fortifications of the left bank of the Dnister River opposite the Khotyn Fortress according to the modern landscape, is presented.
Aktivitas Antibakteri Campuran Ekstrak Kulit Batang Merkubung (Macaranga gigantea) dan Mangpurang (Macaranga triloba) Terhadap Enterococcus faecalis dan Escherichia coli
Authors: Sulastri Puput , Mariani Yeni , Yusro Fathul
Published: June 2020

ABSTRAKRamuan obat tradisional umumnya berasal dari satu jenis tanaman ataupun berasal dari campuran beberapa jenis tanaman. Campuran ekstrak tanaman merkubung (Macaranga gigantea) dan mangpurang (Macaranga triloba) berpotensi menghambat pertumbuhan bakteri Enterococcus faecalis dan Escherichia coli. Penelitian ini bertujuan untuk menganalisis aktivitas penghambatan pertumbuhan bakteri E. faecalis dan E. coli dari campuran ekstrak kulit kayu merkubung (M. gigantea) dan mangpurang (M. triloba). Penelitian ini menggunakan konsentrasi ekstrak 200 mg/ml yang dibuat dengan mencampurkan ekstrak merkubung dan mangpurang dalam satu ml larutan dengan beberapa tingkat perbandingan yaitu 200:0; 150:50; 100:100; 50:150 dan 0:200 (b/b). Campuran ekstrak etanol dari kulit batang merkubung dan mangpurang pada konsentrasi 200 mg/ml dengan perbandingan ekstrak 200:0; 150:50; 100;100 dan 50:150 memiliki aktivitas penghambatan pertumbuhan bakteri E. faecalis dengan zona hambatan sebesar 1,4 mm; 1,3 mm; 1,09 mm dan 0,94 mm. Penghambatan pertumbuhan bakteri E. coli hanya dapat dilakukan oleh ekstrak merkubung (200:0) dengan zona hambat 1,08 mm.Kata Kunci:     campuran ekstrak; kulit kayu; Macaranga gigantea; Macaranga triloba; Enterococcus faecalis; Escherichia coli  ABSTRACTTraditional medicinal potion ingredients are generally derived from one species of plant or derived from a mixture of several species of plants. A mix of plant extracts of merkubung (Macaranga gigantea) and mangpurang (Macaranga triloba) has the potential to inhibit the growth of the bacteria Enterococcus faecalis and Escherichia coli. The research purposes were to analyze the activity of a mixture of extracts of the wood bark of merkubung (M. gigantea) and mangpurang (M. triloba) in inhibiting the growth of E. faecalis and E. coli bacteria. This study used an extract concentration of 200 mg/ml. The concentration is made by mixing the extract of the merkubung and mangpurang in one ml of solution with several levels of comparison, namely 200: 0; 150: 50; 100: 100; 50: 150 and 0: 200 (w/w). The mixture of ethanol extracts (200 mg/ml) from the wood bark of the merkubung and mangpurang with a ratio of 200: 0 extract; 150: 50; 100; 100 and 50: 150 can inhibit the growth of E. faecalis bacteria with inhibition zones of 1.4 mm; 1.3 mm; 1.09 mm and 0.94 mm. The inhibition of the growth of E. coli bacteria can only be done by the extract of the wood bark (200: 0) with a 1.08 mm inhibition zone.Keywords:       extracts mixture; wood bark; Macaranga gigantea; Macaranga triloba; Enterococcus faecalis; Escherichia coli
Aktivitas Enzim Ekstraseluler dari Bakteri Endofit Tumbuhan Mangrove Avicennia marina
Authors: Rori Chindy Achika , Kandou Febby Ester Fany , Tangapo Agustina Monalisa
Published: June 2020

ABSTRAKBakteri endofit merupakan salah satu sumber penghasil senyawa ekstraseluler yaitu enzim. Enzim dari bakteri endofit lebih menguntungkan dan produksinya lebih cepat. Penelitian ini bertujuan untuk menganalisis kemampuan aktivitas enzim ekstraseluler dari bakteri endofit tumbuhan mangrove Avicennia marina. Metode penelitian yang digunakan yaitu eksploratif eksperimental, melakukan isolasi bakteri dari tumbuhan mangrove A. marina dan selanjutnya dilakukan uji potensi aktivitas enzim ekstraseluler dari isolat bakteri endofit. Hasil isolasi memperoleh tujuh isolat bakteri endofit dari tumbuhan A. marina, isolat endofit tersebut mampu menghasilkan aktivitas enzim ekstraseluler yaitu empat isolat menghasilkan enzim amilase, enam isolat menghasilkan protease, satu isolat menghasilkan selulase dan dua isolat menghasilkan gelatinase.Kata kunci: bakteri endofit; Avicennia marina; amilase; protease; selulase; gelatinase ABSTRACTEndophytic bacteria are one source that can produce extracellular compounds, namely enzymes. Enzymes from endophytic bacteria are more profitable and can produce faster. This study aims to analyze the ability of extracellular enzyme activity from endophytic bacteria in mangrove plants Avicennia marina. This research used experimental explorative method, isolating bacteria from mangrove plant A. marina and then testing the potential of enzyme extracellular activity from endophytic bacteria isolated. Isolating result obtained seven endophytic bacterial isolates from A. marina plants,this endophytic isolates are able to produce extracellular enzyme activity is four isolates can produced amylase enzyme, six isolated can produced protease, one isolated can produced cellulase and two isolated can produce gelatinase. Keywords: Endophytic bacteria; Avicennia marina; amylase, protease, cellulase, gelatinase
Minimize Rental Costs on Flowshop Scheduling
Authors: Bahari M Faudzi , Sudrajat Sudrajat , Lesmana E
Published: June 2020

ABSTRACTThis paper discusses solving the problem of rental costs in a Flowshop scheduling with n-jobs and m-Machines in small and medium-sized companies to minimize rental costs to be paid. The proposed method is the development of an existing method using several proven propositions. The method used is applied in a sandals company that rents 11 machines used to produce 6 types of products. The proposed method yields a rental fee of IDR 1,071,121.5.Keywords: Flow shop; minimize rental cost; scheduling Minimisasi Biaya Sewa pada Penjadwalan FlowshopABSTRAKPaper ini membahas mengenai minimisasi biaya sewa yang harus dibayar oleh perusahaan berskala kecil-menengah yang menggunakan penjadwalan flowshop dengan n-buah pekerjaan yang dikerjakan oleh m-buah mesin pada proses produksinya. Metode yang dibuat adalah pengembangan dari metode sebelumnya yang  dibuktikan dengan menggunakan beberapa proposisi pendukung. Metode ini telah diaplikasikan pada sebuah perusahaan sandal yang memproduksi 6 jenis sandal dengan menggunakan 11 mesin yang berbeda. Berdasarkan metode ini perusahaan harus membayar biaya sewa mesin sebesar Rp. 1,071,121.5.Kata Kunci: Flow shop; minimisasi biaya sewa; penjadwalan
Overarticulator on Contoid [r] Indonesian Deaf Children
Authors: Darim Abu , Yulianto Bambang , Nuryadi Nuryadi , Setyowati Lis , Widawati Etty , Kurniawati Kurniawati
Published: June 2020

This research aims at describing overarticulator contoid [r] deaf children Indonesia. This research uses the qualitative descriptive method. Data researched is overartikulator contoid [r] deaf children. The source of data is the son of deaf SLB-B on kindergarten groups A deaf bit heavy. Data collection is done with the data source mimicked speech researcher and teacher or when pronouncing vocabulary list  Containing contoid [r]. The collection of data using techniques of natural observation, observation, participation,  of a scheduled Fishing fishing substitution,  recording, record-keeping, and field. Data analysis using the method in accordance with the technique of determining element is broken. Based on data analysis, contoid [r] resulting in two groups of deaf children. The Union, contoid  [r] generated anyway. [r], [«r«r], [arer], [rr], [l], [ll], [«l], [l«], and [et]. Second, contoid [r] produced change. In two of the group, contoid [r] created by [r], [ The results contain the differences distinguishing characteristic on the basis of the representation and the representation of contoid phonetic [r]. In the difference that happens  overarticulator contoid [r] which does not occur on other contoids. From an overarticulator, it changes the sounds anaptiksis,  reduplication, and contoid attenuation [r].
Evaluation of speech signal features extraction methods
Authors: Shayeb Ismail , Asad Naseem , Alqadi Ziad , Jaber Qazem
Published: June 2020

Human speech digital signals are famous and important digital types, they are used in many vital applications which require a high speed processing, so creating a speech signal features is a needed issue. In this research paper we will study more widely used methods of features extraction, we will implement them, and the obtained experimental results will be compared, efficiency parameters such as extraction time and throughput will be obtained and a speedup of each method will be calculated. Speech signal histogram will be used to improve some methods efficiency.
Comparation Study of The Use Naftalena From Coal Tar Waste with Camper Naphtalene As Concrete Admixture
Authors: Agung Sumarno , Syafwandi Syafwandi , Fatmawati Adelia Rizky , Sumiyati Sumiyati
Published: June 2020

Concrete is a mixture of Portland cement or other hydraulic cement, fine aggregate, coarse aggregate, and water, with or without additives (admixture). The naphthalene superplasticizer used comes from the distillation of coal tar and a little from the rest of petroleum, but there is also camphor naphthalene. Where camphor grains contain 250-500 mg of naphthalene. Naphthalene is mostly produced from coal tar distillation, and a little from the rest of the fractionation of petroleum, by the molecular formula (C10H8) and in the form of two unified benzene rings. This compound is volatile, volatile even in the form of solids. The vapor produced is flammable. The purpose of this study was to determine the effect of the use of naphthalene from coal tar waste with camphor naphthalene as concrete admixture, and determine the effect of naphthalene from coal tar waste with camphor naphthalene on concrete toughness, density, water absorption, of concrete compressive strength. It is expected that the use of naphthalene can reduce the use of cement, and reduce water use. But it does not reduce the strength of the concrete so as to reduce costs in making concrete. The variations in the use of camphor naphthalene and coal tar naphthalene are 20%, 30%, 40%.
Study of Drainage Channel Capacity in Tebalo, Gresik District
Authors: Kurniawaty Dahliana
Published: June 2020

The growth of Gresik City is shown by the development of various infrastructures such as settlements, highways, and others. Along with the growth of Gresik City area, an increase in flood inundation due to increasingly dense settlements, decrease of vacant land as an infiltration area in Tebalo Village. Flooding is caused due to lack of development of drainage systems in the area of Tebalo Village.

To normalize Tebalo drainage channel, good planning must be prepared for Tebalo drainage channel system including planning the layout of the channel system, calculating the designed flood discharge for each channel, hydraulics analysis for flood flow conditions and also along high sea water tide conditions, and finally designing the dimensions of the channel. After the channel is normalized, it is expected that the flow would be much smoother so that no flooding occurs.
Cost comparison analysis of slab structure using concrete beam and steel beam
Authors: Lutfiansyah Yopi , Tanjung Galen
Published: June 2020

Cost planning is an important phase on construction project planning to give illustration to the owner how much cost they should spend to execute that project. The slab is an element of the structure that has a large amount of the quantity so that affects the cost of the whole project. Then the cost comparison of slab structure has to be analyzed to know the most optimum design between conventional shuttering with the concrete beam on the initial design, first alternative options design, and metal deck shuttering with steel beam on second alternative design. The calculation of the slab structure cost analysis were based on Indonesia’s standard (PermenPUPR and SNI). The result is the first alternative options design that using concrete beam were cheaper 10,24% than the initial design that using concrete beam too while the second alternative options design that using steel beam were more expensive 27,14% than the initial design.
Agrobot: NLP based Image and Text Query Chatbot
Authors:   Assistant Professor and Project Co-coordinator in department of Computer Engineering at Universal College of Engineering, Mumbai., Shelke Vishakha , Gupta Amit ,   B.E in Computer Engineering from Universal College of Engineering affiliated to University of Mumbai india., Bisht Santoshi ,   B.E in Computer Engineering from Universal College of Engineering affiliated to University of Mumbai India., Gupta Radhika ,   B.E in Computer Engineering from Universal College of Engineering affiliated to University of Mumbai.
Published: June 2020

Technology is getting advanced day by day in almost every fields. But farming is a field in which the advancement in technology is still lacking in many of the rural areas. Farmers in the rural area still follow the traditional method of collecting information that is talking to each other but the information they obtain through this might not be accurate. So the proposed system aims to solve all the farming related queries within a short instant. The proposed system is named as Agrobot and is an intelligent system which can recognize misprinted words, avoids grammatical mistakes and gives output even if the sentence is inadequate. Agrobot is built using natural language processing techniques which takes the sentence does several processing on it and then the most suited result is displayed. To get the accurate output classification algorithms are used. Agrobot produces an output in text as well as in voice form. Agrobot is able to solve query in English as well as in Hindi language.
An Internet of Things Based Smart Irrigation using Solenoid Valve
Authors:   Assistant Professor, Department of Electronics and Communication Engineering,R.M.K. College of Engineering and Technology, Anna University, Chennai, India., KANNAN* K. , KUMAR N.SAI ,   Department of Electronics and Communication Engineering ,R.M.K. College of Engineering and Technology, Anna University, Chennai, India., LOGITH E. ,   Department of Electronics and Communication Engineering ,R.M.K. College of Engineering and Technology, Anna University, Chennai, India, KUMAR R.MANOJ ,   Department of Electronics and Communication Engineering, R.M.K. College of Engineering and Technology, Anna University, Chennai., PRAKASH O.SURYA ,   Department of Electronics and Communication Engineering, R.M.K. College of Engineering and Technology, Anna University, Chennai, India.
Published: June 2020

Water is an essential resource in agriculture and its optimal management plays a major role. The important objective of this paper is to provide an automated irrigation system to minimize the utilization of in agriculture by combining the advanced technologies like Internet of Things (IoT), optimization tools and cloud computing. This automatic irrigation system installs low cost sensors to sense variables of interest such as soil moisture, soil type, and weather conditions. The data obtained is then directly stored in the web page and can be monitored using mobile or through Pc. The data from the field is transmitted to the cloud using global system for mobile communication (GSM) cellular networks. Then an optimization model is used to compute the optimal irrigation rate which is automated using a solenoid valve controlled by Pic microcontroller. The previous variables of interest are stored in the cloud and accessible as a service to the agronomists. This proposed approach is demonstrated on a pilot scale cultivated capability and our results demonstrate the reduced water utilization, data-availability improvement and picturing.
Detailed Analysis of Intrusion Detection using Machine Learning Algorithms
Authors:   School of Computer Science and Engineering, Vellore Institute of Technology (VIT University), Chennai, India., Verma* Samriddhi , P. Dr. Nithyanandam ,   School of Computer Science and Engineering, Vellore Institute of Technology (VIT University), Chennai, India.
Published: June 2020

The number of internet users has increased exponentially over the years and so have increased intrusive activities significantly. To detect an intrusion attack in a system connected over a network is one of the most challenging tasks in today’s world. A significant number of techniques have been developed which are based on machine learning approaches to detect these intrusion attacks. Even though these techniques are good, they are not good enough to detect all kinds of attacks. In this paper, the analysis of different machine learning algorithm will be performed on the NSL-KDD dataset with pre-processing steps like One-hot encoding, feature selection and random sampling to use in different machine learning models to find the best performing model to detect these attacks. The attacks are from the datasets are classified into four types of attacks: Probe, DoS, U2R, R2L while the non- attack is the Normal. The dataset is in two parts: KDD-Train and KDD-Test. The dataset is trained and tested to find accuracy and understand the performance of different machine learning algorithms and compare them. The Machine Learning algorithms used are Naive Bayes Classifier, Decision Tree Classifier, Random Forest Classifier, K-Neighbours Classifier, Logistic Regression, SVM Classifier, Voting Classifier. These techniques are compared according to their capability to detect the attacks. This comparison will help to find the algorithm which would work the best to detect different kinds of intrusion attacks.
Biometric Validation using Back-Propagation Neural Network
Authors:   Professor, Department of Computer Science and Engineering, Marri Laxman Reddy Institute of Technology and Management, Dundigal, Hyderabad, India., Giri * Dr.A.Annamalai , Gayathri A. ,   Research Scholar, Department of Electrical and Electronics, Annamalai University, Tamilnadu, India,, Mohan Dr. E. ,   Professor, Department of Computer Science and Engineering, Lord Venkateshwaraa Engineering College,Kanchipuram,Tamilnadu,India,
Published: June 2020

The aim of this paper is to affirm particular persons as pointed out with aid of their claws. We come up with a method to get rid of Finger Texture (FT) feature of the twain finger depiction (middle, annular) from a depressed intention using appropriate LBP strategy for fist image. The application of Inner-Knuckle-Print (IKP) in biometric authentication is the prospective recognition taskk. The exclusive attribute of the IKP provide us the prerequisite for significant validation. In the interim IKP filtering transform, the copy of the picture generated by the scanner will be partly exclusive. The article introduce ANN for adequately regulate strategy to IKP authorization. By applying the Back-Propagation technique, the method harmonize IKP and disclose them to a unique proficient client.
Impact of Internet of Things in the Healthcare Industry
Authors:   Director of Raj Corporate, Management and Science University, Malaysia., Rajmohan Rajphriyadharshini , Johar Prof. Dato’ Dr. Md Gapar Md ,   Professor, Senior Vice President Research, Innovation, Technology and System of Management and Science University, Malaysia.
Published: June 2020

The internet of things concept had infiltrated nearly every field of our life, however, its cutting edge impact in the healthcare industry has been momentous. With tremendous penetration of Mobile health, the functionality of IoT in the healthcare industry had drastically increased. In the research, a systemic literature review was conducted to study the impact of IoT applications in the healthcare industry by analyzing the current and future research work in the field, more focusing on security and privacy in health IoT devices and how it affects different levels of health care employees and consumers’ adoption towards IoT in the health care industry. The study reports research papers, which were included, based on the further filtering process by title, contents, and abstract. A total of 232 primary up-to-date studies were included in the review study. These papers were analyzed according to the research questions defined in the study.
Semantic Segmentation of Iris using U-Net in Deep Learning
Authors:   Department of CSE, School of Studies in Engineering and Technology, Guru Ghasidas Vishwavidyalaya, Bilaspur, India, Reddy Dugimpudi Abhishek , Yadav Deepak ,   Department of CSE, School of Studies in Engineering and Technology, Guru Ghasidas Vishwavidyalaya, Bilaspur, India, Yadav* Nishi ,   Department of CSE, School of Studies in Engineering and Technology, Guru Ghasidas Vishwavidyalaya, Bilaspur, India, Singh Devendra Kumar ,   Department of CSE, School of Studies in Engineering and Technology, Guru Ghasidas Vishwavidyalaya, Bilaspur, India
Published: June 2020

In the field of medicine, iris segmentation has become a great field of interest from the past few years. Iris segmentation is also largely used in iris recognition systems [3] which are extensively used in security control [1][2]. Here iris segmentation is done using semantic segmentation which is based on the U-Net architecture. The typical U-net architecture contains two paths- contracting path containing convolutional and pooling layers and the expanding path consists of transposed convolutional operations. The UBIRIS dataset is trained on the traditional U-Net model with some modifications according to the size of the images present in the UBIRIS dataset. The results obtained were very close to the ground truths and accuracy obtained is also appreciable.
Flexural Behaviour of Delta Hollow Flange Steel Beam with and without stiffeners
Authors:   Civil department, SRM Valliammai Engineering College, Kattankulathur, Tamil Nadu, B* Aishwarya.M. , Sharma.A Sattainathan ,   Civil department, SRM Valliammai Engineering College, Kattankulathur, Tamil Nadu, D Pragathi. ,   Civil department, SRM Valliammai Engineering College, Kattankulathur, Tamil Nadu
Published: June 2020

In recent years of construction, steel has been considered as the most commonly used construction materials. Cold Formed steel has many structural benefits like high strength, greater stiffness, high ductility with excellent structural properties and fire resistance. The Cold formed steels are usually used in day by day in residential, commercial and industrial buildings around world. It also reduce the cross section of an element. Steel structure are faster in construction. The main aim of this paper is to study new steel beam. Rather than normal I-shaped beam, it is innovated to form Triangular Hollow Flange Beam (THFB) with slender web using required welded connection to improve the flexural capacity. THFB is also called as Delta Hollow Flange Beam (DHFB). Hollow Tubular Flange Beam provide more strength, stiffness, and stability than a flat plate flange with the same amount of steel. Flanges resist the applied moment, whereas web plates resist the induced shearing force. To improve the flexural resistance the use of the stiffeners also plays an important role, hence the flexural behavior of DHFB with the addition of transverse stiffeners has been investigated in this research work. Initially the section for the research has been chosen, Ultimate load has been calculated manually, Weld used for the sections are designed and they were analyzed through the Finite Element software called ‘ANSYS’. Later, five different specimen which includes specimen with and without stiffeners has been tested experimentally. The flexural test was carried out, along with that other properties like Ductility properties also calculated. From both analytical and experimental study DHFB shows positive results. They were highly used in various application which includes purlins, girts, portal frames and steel frame structures. Steel structure are faster in construction.
Change Impact Analysis using Python for Java Applications
Authors:   Department of Computer Science & Engineering, Vasavi College of Engineering (Autonomous), Hyderabad (Telangana), India., Jalaja* T. , Adilakshmi T. ,   Department of Computer Science & Engineering, Vasavi College of Engineering (Autonomous), Hyderabad (Telangana), India
Published: June 2020

Software Applications needs to be changed constantly as per the requirements of the user or the client. This phase is known as the maintenance phase of a software application. On an average, the cost of software maintenance is more than 50% of all Software Development Life Cycle phases. The main purpose of software maintenance is to modify and update software application after delivery in order to correct faults, enhance the functionality or to improve performance. When the change request (CR) is received from the client the developers have to work upon the request. If the Change Request requires any modification, the application developers have to identify the risk of modifying the program or application before making the actual change. But there is a high chance of making errors in modifying the existing software. Change Impact analysis (CIA) is one of the error prevention technique. It is the process to find the effect of a change in a software application before the changes are made. By equipping developers with automated CIA tools to identify the risk of modifying the application we can minimize the errors. Impact analysis can be done based on the change request. This paper aims at developing a change impact analysis tool which can be used by the developer during the software maintenance phase. This proposed tool -Strategic Dependency Tracker (SDepTrac) helps the programmer/ developer to know “What part of the program (of a Java application) is impacted if a change is to be made to a particular variable / method / class?” with more accuracy compared to the existing tools. It displays the number of lines affected, classes and methods which are going to be affected, if we perform the requested change by considering the data dependency, control dependency and the semantic dependency. Thus the tool helps the developer to identify the impact set and minimizes the human errors and also saves time during the Maintenance phase.
Web Revisitation using Content and Context Tokens
Authors:   Computer Science Engineering, MLR Institute of Technology, Hyderabad, India., Koppula Mrs. Neeraja , Krishnasahiti Ms. Tadikonda ,   Information Technology, MLR Institute of Technology, Hyderabad, India., Akhil Mr. Yerram ,   Information Technology, MLR Institute of Technology, Hyderabad, India.
Published: June 2020

Right now, the Internet is the most common medium people use to obtain access to knowledge. One's requirements vary from a single word sense to specialized papers and self-education. Revisiting previously visited web pages is one of the most common and unpleasant activities a person does. In fact, a significant primary feedback technique is included in tailoring the individual's memory of vigor and re-examination patterns. Our successful control of environment and object recollections, including decay and reinforcing techniques, may imitate device retention and retention mechanisms. This proposed solution takes into consideration the normal human retrieval method of utilizing episodic and textual memory signals for fast retrieval and includes a different site revisitation mechanism known as the "Web Page Preview" via meaning and information gained through user discovery and web page visits. The underlying methods for the collection, preservation, degradation and usage of meaning and quality of consumer memories for page re-discovery are addressed. Our 3 month user study says that of the time, location, and activity context factors in Web Page Prep, activity is the best recall guide, and context + content based re-discovery provides the highest results relative to context and content individual rediscovery. This concept, if completed, can be used to improve web surfing functionality by providing users a variety of apps with a rather simple UI.
Heart Monitoring and Alarming System
Authors:   VIT, Vellore, Tamil Nadu, India., Uddhav Aniket , Ranolia Sahil ,   VIT, Vellore, Tamil Nadu, India., Choudhary Nikhil ,   VIT, Vellore, Tamil Nadu, India., K Saravanan ,   Professor, School of Electronics Engineering, VIT, Vellore, Tamil Nadu, India.
Published: June 2020

Recent studies show that problems like heart attack, which usually happens in late 60’s, now happing to adults because of their busy schedule and irregular lifestyle. Under these conditions, Internet of Things has given a much simpler answer for wireless real-time health monitoring of patients from the home and hospital. So what is the target of our research? There are some cases in which patient died even in the ICU because of heart attack. ICU has all the advance machines to keep track of all the health-related parameters of patient but there is no mechanism to alert the doctors in case of event like these. Machines installed in ICU are only for monitoring purpose, not for analysis. Our device focuses on monitoring and data collection so as to provide better health related services and to reduce the mortalities. To provide immediate medical assistance to a patient having heart trouble we are proposing a system via our device. Our device functions by observing heart rate, blood pressure, body temperature, respiration rate & body movement of the patient and if any of the variable crosses the threshold value a SMS will be send to the doctors instantly to alert them. Another remarkable area of the provided solution is to create ideal surroundings as per the requirement of patient’s health condition. Using all the sensors it will collect the data and store it in cloud where it can be used for further research and analysis. The data collected can be used to study and predict the health of the patient.
Mine Detection with 3 DOF Robotic Arm
Authors:   Department of ECE, Guru Nanak Institute of Technology, Hyderabad., Goyal Prof. Anmol Kumar , Pasyanthi N. ,   Department of ECE, Guru Nanak Institute of Technology, Hyderabad., Krishna Hari ,   Department of ECE, Guru Nanak Institute of Technology, Hyderabad, Prasanna R. ,   Department of ECE, Guru Nanak Institute of Technology, Hyderabad., Manasa G. ,   Department of ECE, Guru Nanak Institute of Technology, Hyderabad.
Published: June 2020

Mining is a major factor for the process of extraction of minerals from the Earth’s surface. Thee minerals can be of two types, metallic and non-metallic. In this project, we are focusing on metallic minerals/substances detection. But these materials are randomly located that their presence is not easily predictable. To make it easy and efficient to locate these materials, we intend to use robots in these areas to avoid save time and avoid risk causing to human life while deploying./extracting. This project throws a vivid light on how effectively we use robotics in the process of mining. The robot here is made to move on wheels that are controlled by two DC Motors which are drive-by L298 driver IC. A proximity sensor is connected to the tip of the robot arm. This sensor is used for the detection of metallic presence, so it uses a principle of the magnetic field for this purpose. Since mines are also metallic substances, this project can be used for both mining and military purpose as well. As the name suggests proximity, means closeness, when this sensor is made to come near a metal substance, an LED that is present over it is made to glow. This indicates the presence of metal. This project uses a wireless technology i.e. a Bluetooth module for the robot movement. All the components used in this are interfaced with Arduino, a microcontroller that can be easily programmed to instruct all the components. A buzzer is also connected so that it makes a buzzing sound when metallic material is detected.
Realistic Handwriting Generation using Generative Adversarial Networks (Rnn)
Authors:   Computer Science, Vellore Institue of Technology, Vellore, India., k* Rajakumar , Dutta* Spreeha ,   Computer Science, Vellore Institue of Technology, Vellore, India., Nayak* Bipsa ,   Computer Science with specialization in Bio informatics,Vellore Institue of Technology , Vellore, India., Koliwad* Bindhiya N ,   Computer Science with specialization in Bio informatics,Vellore Institue of Technology , Vellore, India.
Published: June 2020

Generating handwritings of different kinds is quite a challenging task, an area in which not much work has been done yet. Though there has been substantial research done in the area of text recognition, the opposite of handwriting generation. Handwriting generation can prove to be extremely useful for children from blind schools where their speech can get converted into text and be used to generate handwritings of different kinds for them. Handwriting generation also has an important role in field of captcha generation. Our study exhibits in what way recurrent neural networks (RNN) of the type Long Short Term Memory (LSTM) could be used in order to create a composite sequence with structure covering a long range. We propose to use that the Generative Adversarial Network algorithm can be used to generate more realistic handwriting styles with better accuracy than other algorithms. Here, we will be trying to predict one point of data at a time. Our approach is shownfor text, where the type of data is discrete. It can also be used for online handwriting, that is real-valued data. It will then be further drawn out to handwriting generation. The created network will be conditioning its predictions based on a sequence of text. We will be using the resulting system to generate highly realistic cursive handwriting in a wide variety of styles. Experiments that have been carried out on online handwriting databases that are public predict that the method that has been proposed can be used to achieve satisfactory performance, the resultant writing samples achieved a high level of similarity with original samples of handwriting.
Identification of Premature Ventricular Contraction (PVC) Based on ECG Using Convolutional Neural Network
Authors:   School of Computer Engineering & Technology, MIT Academy of Engineering, Pune, India., Kothari* Akanksha , Dighe Sankeit ,   School of Computer Engineering & Technology, MIT Academy of Engineering, Pune, India., Kale Kedar ,   School of Computer Engineering & Technology, MIT Academy of Engineering, Pune, India., Kale Shubhangi ,   School of Computer Engineering & Technology, MIT Academy of Engineering, Pune, India.
Published: June 2020

Premature Ventricular Contraction (PVC) arrhythmia patients are subjected to dangerous heart rhythms that can be chaotic, and possibly result in abrupt death. Therefore, early detection of arrhythmia with high accuracy is extremely important to detect cardiovascular diseases. The classification of heartbeats based on ECG signals plays a vital role it the field of cardiac sciences to identify arrhythmias. The use of Artificial Neural Networks (ANN) has proven to be the most effective technique for sole agenda of classification. The use of CNN is simple and more noise immune method in comparison to various other techniques. In this paper, a survey of numerous algorithms and classification techniques along with their performance measures are presented. This paper proposes the identification of PVC on the basis of heart beats by using CNN and the results obtained are compared to other traditional approaches.
The New Technique Enhancing of Automatic Speech Recognition System for ODIA Language using HTK Based On Hidden Markov Model (HMM)
Authors:   Assistant Professor in the Department of Computer Science Engineering and Applications, Indira Gandhi Institute of Technology, Odisha, India, Sahu* Priyabrata , Panigrahi Sunil Ku ,   Research Scholar, Department of computer Engineering, KIIT University, Odisha, India, Gohatre Umakant Bhaskar ,   Assistant Professor, Department of Engineering, University of Mumbai, Mumbai, India
Published: June 2020

The purpose of this paper is to address the application to an Indian Regional Language, ODIA of a single word Automatically Speech Recognition System (ASRS). The toolkit is based on Hidden Markov Model (HMM). The details was obtained from 8 ODIA Language speakers. The program is then qualified for 205 different terms in ODIA. Samples from six separate speakers have again been obtained. This is then evaluated in real time. A GUI has been created to enhance the system's interactivity. We used and introduced the test framework for development of the GUI JAVA application. A comprehensive model of an ASR framework was developed to explain each HTK resource using HTK library modules and software. The findings of the experiment indicate that the overall machine efficiency is 93.45%.
A Professional Estimate on the Segmentation of Brain Cancer in MR Images using M-FCM
Authors:   PG Scholar, Department of Electronics and Instrumentation Engineering, National Engineering College, Kovilpatti, Tamilnadu, India., George* Tessy , Ramakrishnan Dr. T. ,   Assistant Professor (Senior Grade), Department of Electronics and Instrumentation Engineering, National Engineering College, Kovilpatti, Tamilnadu, India.
Published: June 2020

Brain imaging innovations have been forever made for a significant part in analyzing and focusing the unused sees of the brain life systems and functions. A computer software code is designed for the detection of cancer in brain magnetic resonance images. Image segmentation, morphological operations and feature extraction are some of the image processing methods developed for the brain cancer detection in MR images concerning the cancer influenced sufferers. In the proposed research, a Modified morphological-based Fuzzy-C-Means (M- FCM) algorithm is proposed to segment the cancer region in the brain MR images. M-FCM algorithm is used to perform the segmentation process significantly through the idealize choice of a cluster, based on the updated membership function. Quantitative analysis between ground truth and segmented cancer is presented in terms of segmentation accuracy and segmentation sensitivity.
Deep Learning based Image Processing for Cashier-less Self-Checkout Methodology
Authors:   Student, Pimpri Chinchwad College of Engineering & Research Ravet, Pune, PIN: - 412101, India., Thakur Sudeshna , Patil Neha ,   Student, Pimpri Chinchwad College of Engineering & Research Ravet, Pune, PIN: - 412101, India., Patil Soumya ,   Student, Pimpri Chinchwad College of Engineering & Research Ravet, Pune, PIN: - 412101, India., Hegde Nidhi ,   Student, Pimpri Chinchwad College of Engineering & Research Ravet, Pune, PIN: - 412101, India., Dumbare Prof. Amol ,   Assistance Prof. in Dept. of Computer, Pimpri Chinchwad College of Engineering & Research, Pune, Pin: -412101, India.
Published: June 2020

In recent years, shopping experiences are becoming more advanced. These include the attempts of market shelves as well as the currently booming online shopping. Online shopping has a better convenience but not yet accepted on a large scale by many people. Retail shops still retain greater response by the users and thus the retailers are moving towards an attempt of cashier-less shopping. A major problem of retail shops is that the people have crunch-time for shopping and cannot afford the waiting time at the checkout counters. Addressing this problem, we have developed a shopping style which saves time of checkout and also the time of maintaining social distancing queues. This research paper presents a stereo vision-based AI system which is useful to monitor the customers while shopping and also the items which are added or replaced in the virtual cart. The customers can directly walk out of the store after shopping and the final order cost of the shopping will be evaluated. This amount will be charged to the customer’s account. The system makes sure that there are no errors made during the evaluation and there are no charges for products which are not brought home. To achieve all this, the system uses image processing, object detection and face recognition algorithms that are widely practiced at present. The system also uses sensors like RFID tags and pressure sensors for weight measurement and detection of products on the shelves.