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Access control and classifier-based blockchain technology in e-healthcare applications
(Elsevier, 2020)
Maseleno A.
;
Hashim W.
;
Perumal E.
;
Ilayaraja M.
;
Shankar K.
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55354910900
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11440260100
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57221237224
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55662288300
;
56884031900
E-healthcare promises to be the next big wave in the healthcare industry, which makes security the most essential component in this framework. Security in sensor network communication is recommended for providing information secrecy and authentication. Many security algorithms are proposed by numerous creators, and among all the security models, Blockchain Technology (BT) with dispersed ledger provides the highest level of security for e-healthcare systems. To improve the security of the healthcare framework, a learning classifier is the support vector machine that is used to characterize sensitive and nonsensitive data from e-healthcare information. After this procedure comes the BT approach, which is connected to protect sensitive data using various layers of encryption, and decryption processes. When the healthcare data are verified, the access-control process considers the reason for authentication. Finally, the simulation results were attained for assessing the performance of the e-healthcare information security model regarding throughput, energy, and security-level measures. � 2020 Elsevier Inc. All rights reserved.
Application design of catfish species specification
(Blue Eyes Intelligence Engineering and Sciences Publication, 2019)
Yanto A.F.
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Nguyen P.T.
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Laxmi Lydia E.
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Shankar K.
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Abadi S.
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Hashim W.
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Maseleno A.
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57211406260
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57216386109
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57196059278
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56884031900
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57203514043
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11440260100
;
55354910900
The system is a program inside of the computer and the task is to complete specific need or task. In its development, the system program has been developed for various fields, for example in determining the specification of catfish species. Catfish is a type of fish that live in fresh water. Catfish is easily recognized because their body is slippery, slightly flat elongated, and has long "mustache" that sticks out from around the mouth. Therefore, the researchers wrote this paper to improve service for the society and to facilitate the community in determining the type of catfish. � BEIESP.
Application design of electronic ID card
(Blue Eyes Intelligence Engineering and Sciences Publication, 2019)
Susanto A.
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Nguyen P.T.
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Ramya K.C.
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Shankar K.
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Abadi S.
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Hashim W.
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Maseleno A.
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57211396978
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57216386109
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57132505200
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56884031900
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57203514043
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11440260100
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55354910900
The development and advancement of information technology has a lot of benefits for the institutions that implement it included in the field of government bureaucracy. The application of e-government to the government bureaucracy certainly can make the performance of government better. The application of information technology in the field of government such as in matters of making Identity Card, Bahasa: Kartu Tanda Penduduk (KTP), is certainly able to provide a change in the bureaucratic system of making Identity Card. As in the Pringsewu District that is originally used a manual system in making Identity Card that is certainly very inefficient and requires a long time so that many residents are reluctant to take care of making Identity Card. Surely this is very unfortunate remembering the importance of Identity Card. Because of this reason, the author tries to examine the design of an application for making an Electronic Identity Card with the aim to ease the public or to take care of making Citizenship Cards online, in addition to that, this application will also help the performance of the Population and Civil Registry Office so that the service provided to the public is more optimal. It is expected that people will no longer to be reluctant to take care of making a Electronic Identity Card with the application. � BEIESP.
Application of expert system for determining export quality pepper seeds using website-based forward chaining method
(Blue Eyes Intelligence Engineering and Sciences Publication, 2019)
Muslihudin M.
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Hemalatha S.
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Shankar K.
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Perumal E.
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Nofiyanti
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Abadi S.
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Hashim W.
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Maseleno A.
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57188749770
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57214605280
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56884031900
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56453071500
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57201486290
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57203514043
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11440260100
;
55354910900
The need for information about determining export quality pepper seeds is currently needed, this usually occurs in areas far from settlements, one of which is farmers located in rural areas far from technological developments, lack of experts or experts in the surrounding environment. increasingly triggered crop failure rates due to lack of knowledge. by building expert systems whose data is obtained from experts so that the system built has the ability to provide solutions such as an expert who is an expert in their field. This process continues until it reaches a goal or there are no rules whose premise matches the known facts. Media system maker application uses the language of PHP and MySQL as a database. Therefore the author will review how to determine quality export pepper seeds, the implementation of an expert system determines export quality pepper seeds which are expected to provide easy access for users, through the use of website-based media. � BEIESP.
Application of weighted product method for determining home renovation assistance in Pringsewu district
(Blue Eyes Intelligence Engineering and Sciences Publication, 2019)
Muslihudin M.
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Ayshwarya B.
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Effendi
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Yusfika D.
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Pribadi M.R.
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Susanto F.
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Hashim W.
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Nguyen P.T.
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Maseleno A.
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Mukodimah S.
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Vellyana D.
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57188749770
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57209691615
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57205216856
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57205224325
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57205225991
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57438735500
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11440260100
;
57216386109
;
55354910900
;
57200503271
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57205216927
House is a place that is needed by human beside clothing and food. House has important function for all people, a place to unwind and gather with family. A good and comfortable house condition will make family harmony, therefore Pringsewu district government conducts a home renovation assistance program for underprivileged in Pringsewu District. The obstacles faced by local government in implementing home renovation assistance are to determine which citizens are eligible for home renovation assistance. This problem can be overcome by creating an effective and efficient home renovation assistance assessment system. By using the method of weighted product it is expected to help the performance of the local government in Pringsewu District, the method of weighted product was selected because it is able to select alternatives from each alternative. The function of this method is to determine the weight scoew for each alternative and the criteria that have been determined. There are six criteria used in this study, namely: (1) House Wall, (2) Roof Structure (3) Residential Floor (4) Latrine condition (5) Occupation of Head of Household (6) Certificate of House Ownership. In addition the criteria also used criteria weighting score to determine the alternative obtained. The smallest score was in V3 with score of 0.122124 and alternative A3was the alternative selected as the recipient of home renovation assistance in Pringsewu district. � BEIESP.
Aqua bill store mineral water sales application program
(Blue Eyes Intelligence Engineering and Sciences Publication, 2019)
Ayshwarya B.
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Nguyen P.T.
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Al Bazar F.
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Aminudin N.
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Shankar K.
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Hashim W.
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Gorina L.N.
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Maseleno A.
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57209691615
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57216386109
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57210392721
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57210387886
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56884031900
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11440260100
;
56940467200
;
55354910900
Technology development is faster. Technology is also increasing to be used by large and small companies. But it's different from the Aqua Bill Store located at Pringsewu Regency. This store has not used the sales application program, so that they experience obstacle in making sales report and need an application to sell mineral water. This research aimed to design an application for the mineral water sales at Aqua Bill Store. System is designed using Visual Basic 6.0 programming language. The result of this study was this application system that helps employees in the process of making sales reports and data storage besides that it also eases for business owners to check items so they can avoid depletion of goods stock. � BEIESP.
Atest-bed evaluation of cognitive hybrid functionality for future hyper-dense networks
(American Scientific Publishers, 2016)
Hashim W.
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Ismail A.F.
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Hasan M.K.
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Anas N.M.
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Badron K.
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11440260100
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36602773900
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55057479600
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16021375300
;
35387519800
This paper proposes a cognitive hybrid function mechanism to intelligently select reliable network and efficiently adjust transmission power while maintaining good quality of service. This combination defines our proposed hybrid functionality. It can be applied to an access point that has multiple choices of network and transmission power modification. By employing such mechanism in closed-proximity network, we observe performances in terms of optimized speed and throughput of the user device. Results were obtained from several empirical laboratory studies by incorporating this mechanism into a hardware in contrast to many studies that just adhered to computer simulations. It was found that selecting reliable network had shown a better optimized speed performance up to 37% improvement as compared without such function. In terms of power adjustment, our evaluation of this mechanism can maintain the same level of throughput at reduced power of about 5 dB than the previous higher transmit power. � 2016 American Scientific Publishers. All rights reserved.
Automatic document clustering and indexing of multiple documents using KNMF for feature extraction through Hadoop and lucene on big data
(Mattingley Publishing, 2019)
Laxmi Lydia E.
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Sharmili N.
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Nguyen P.T.
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Hashim W.
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Maseleno A.
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57196059278
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57191575400
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57216386109
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11440260100
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55354910900
The existence of unlabeledtext data in documents has become larger and excavating such datasets is a provocative task. The objective of Big Data is to store, retrieve and analyse multipletext documents. Problem Statement:The retrieval of the identical data over large databases is of major concern. Existing Solution:Existing problem is solved by Full-Text Search (FTS) which means pattern matching technique that allows searching of multiple keywords at specific time.Proposed Solution: In this paper, we consider multiple text documents as input and processed using text mining pre-processing algorithms like Key Phrase extraction, Porters stemming for tokenizing and TF_IDF toobtain all non-negative values. These values further processed to get matrix data throughNonnegative matrix factorization (NMF). On performing NMF, K-means algorithmis upgraded with NMF to obtain quality clusters of data sets.Performances of the algorithms are tested using Newsgroup20 data in Open Source Hadoop software environment which also analyses the performance of the MapReduce framework. The final outcome is to generate clusters and index them for the Newsgroup20dataset. Later on, Apache Lucene is presented for automatic document clustering with aGUI interface developed for indexing. Thus, this proposed algorithm resultsby improving the performance of document clustering through Map Reduce framework in Hadoop. � 2019 Mattingley Publishing. All rights reserved.
The best land selection using simple additive weighting
(Blue Eyes Intelligence Engineering and Sciences Publication, 2019)
Ayshwarya B.
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Firdiansah F.A.
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Alfian F.Y.
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Nguyen P.T.
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Hashim W.
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Shankar K.
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Abadi S.
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Peteraitis S.K.
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Maseleno A.
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57209691615
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57210885046
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57207620327
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57216386109
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11440260100
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56884031900
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57203514043
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6507336073
;
55354910900
Pringsewut Regency is an agrarian regency with the main livelihood of the population is from agro-industry agriculture. For on farm farming activities, a lot of cultivated commodities are food crops and rice crops. One of the key factors in creating equitable distribution of development or regional development and the right one result is the agricultural factor. While to know the feasibility of an agricultural area can be done by holding an assessment. The Assessment is made by Agriculture office in deciding the feasibility of agricultural areas include the assessment criteria of a region. The criteria of a region that is the type of soil, rainfall, water, temperature, and soil texture. Utilization of decision support system is very helpful in deciding the feasibility of agricultural area, and accompanied by the method of Simple Additive Weighting (SAW), this method can complete the research by finding the weigh value for each attribute, then perform the ranking process that will determine the optimal alternative that is feasible for agriculture. With the decision support system with Simple Additive Weighting (SAW) method and with object oriented design using Unified Modeling Language (UML) this will make it easier for Agriculture Office and other institutions to monitor and to obtain information about agriculture that is useful for agricultural development. � 2019, Blue Eyes Intelligence Engineering and Sciences Publication. All rights reserved.
The best of village head performance: Simple additive weighting method
(Blue Eyes Intelligence Engineering and Sciences Publication, 2019)
Ambika P.
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Ayshwarya B.
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Nguyen P.T.
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Hashim W.
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Rinjani F.
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Muslihudin M.
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Shankar K.
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Denisova O.P.
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Maseleno A.
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57210403381
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57209691615
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57216386109
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11440260100
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57210435049
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57188749770
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56884031900
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57209180290
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55354910900
The village head is the leader of the village level government. Achieving the development of a village demands the role of a qualified village head. His role, duties, and responsibilities are crucial to the progress of the village. Simple Additive Weighting (SAW) method is one of the methods in decision support system where alternative and criteria have been determined. Criteria that have been determined include: gender, how long served, how the facilities and infrastructure, achievement of the program, and the welfare of the community. Based on the results of research that has been done in Pagelaran Subdistrict of ten alternatives in the trial then there is a ranking order ranking as follows A3 with the largest value 1; A1 = 0,9; A5 = 0,85; A10 = 0,83; A2 = 0,83; A6 = 0,78; A7 = 0,68; A4 = 0,58; A9 = 0,51, and A8 has a value of 0.31 which is the lowest value of the alternatives already in trial. � BEIESP.
Best quality tomato selection by supply chain strategy for renewable energy
(ExcelingTech, 2019)
Nguyen P.T.
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Nguyen Q.L.H.T.T.
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Hashim W.
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Maseleno A.
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Susilowati T.
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Suyono
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Huynh V.D.B.
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Vu N.B.
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Le L.P.
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Vo K.D.
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Phan P.T.
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57216386109
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57454422200
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11440260100
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55354910900
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57193502365
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57208468545
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57935168100
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57207771994
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57204800410
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57204802852
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57204802023
World agriculture still faces challenges quite fundamental, it is about the quality issues and the increasing of competitiveness through productivity and the eficiency. This research focused on the criteria of best tomato types and how to apply the Simple Additive weighting method (SAW) into a Decision Support System (DSS) for election best quality tomato that can assist farmers in determining the best type of tomato for renewable energy and supply chain strategy, based on the criteria that have been chosen, such as: tomato size, tomato color, tomato shape and tomato disease. By using the application of Simple Additive weighting method into Decision Support Systems value, it can be concluded that V5 is the best quality tomato and has a predicate value of 83.75 with the fragile values, as follows: 50-69 = Enough, 70-82 = Good, 83-100 = Best. � ExcelingTech Pub, UK.
Big data analytics and intelligence: A perspective for health care
(Blue Eyes Intelligence Engineering and Sciences Publication, 2019)
Muruganantham A.
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Nguyen P.T.
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Lydia E.L.
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Shankar K.
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Hashim W.
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Maseleno A.
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57218575373
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57216386109
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57196059278
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56884031900
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11440260100
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55354910900
The term big data refers to a group of large and vast amount of data collected from many research organizations, hospitals and scientific organizations which can be available for the healthcare. Such big data have potential for improving in the research in healthcare. The big data helps to analyze the clinical datasets and provides the key insights for the patients care. Such data can be analyzed by several multidisciplinary methods. The big data and intelligence model also helps to provide support in taking recommend action and make the decision making model more strong. The Healthcare medical artificial intelligence system mainly uses a computer software to perform the health and clinical diagnoses and suggest the proper treatments. Predictive analysis is also the most important part of Big Data Analytics which use datasets and historical data to make the predictions about the disease. But such predictions results may vary for person to person. Every person have different immunity power, so an detailed research may help to lead better results. There are many techniques and algorithms are available such as PPDM, Machine Learning, Data Mining Algorithms, Artificial Intelligence etc. In this research it is studied that how health care data can helps patients in predicting diseases and improve the treatment. � BEIESP.
Biogeography-based interference mitigation scheme for ofdma system in heterogeneous network
(Science and Engineering Research Support Society, 2016)
Hasan M.K.
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Ismail A.F.
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Abdalla A.-H.
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Hashim W.
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Islam S.
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55057479600
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36602773900
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24823900300
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11440260100
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56854827500
In Heterogeneous Network (HetNet), the small base station such as femtocells are deployed in indoor and multiple business complexes in order to extend the coverage and capacity. The deployment of co-channel (i.e. shared channel) for femtocells along with macrocell induces the severe interference issues. This is because of effects on SINR and thereby capacity become deteriorated. Therefore, this paper investigates the interference mitigation techniques and come out with a proposal to improve the Signal to Interference Noise Ratio (SINR) performance as well as total capacity in Heterogeneous Network (HetNet).The simulation results show that the achieved capacity is maximized than the existing technique. � 2016 SERSC.
Boarding house selection using SAW method
(Blue Eyes Intelligence Engineering and Sciences Publication, 2019)
Mukhlis H.
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Ayshwarya B.
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Nguyen P.T.
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Hashim W.
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Hardono
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Maesaroh S.
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Sagita Y.D.
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Surmiasih
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Sanjaya R.
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Oktafianto
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Shankar K.
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Denisova O.P.
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Maseleno A.
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57210410097
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57209691615
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57216386109
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11440260100
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57201990103
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57210415029
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57210409318
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57210413908
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57210411765
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57203549329
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56884031900
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57209180290
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55354910900
Determination of residence in a new area known is influenced by many factors namely location, facilities, contract systems and prices. This journal determines the criteria used in selecting a residence. These criteria were analyzed using simple additive weighting (SAW) method. The results of the analysis obtained in the form of location criteria to determine the most suitable boarding house because the existence of boarding houses in the vicinity of public facilities is highly expected for migrants in a new area. With the advancement of information technology it can answer the need to find a boarding house, and will be very helpful both from the owner and tenant side. And not only that, with this internet technology, prospective tenants can also select a boarding house that suits their wishes. Planning a system that can assist in the determination of temporary housing is needed by tenants in finding housing that fits the desired criteria. With the creation of a DSS (Decision Support System), the selection of boarding houses is expected to help resolve the problem of alternative housing. Therefore a decision support system application program is needed to determine a temporary residence or boarding house. Decision support system is a computer-based system that aims to assist decision making by utilizing data and models to solve unstructured problems. � BEIESP.
Brain tumor segmentation and classification using KNN algorithm
(Blue Eyes Intelligence Engineering and Sciences Publication, 2019)
Suhartono
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Nguyen P.T.
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Shankar K.
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Hashim W.
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Maseleno A.
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57210948011
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57216386109
;
56884031900
;
11440260100
;
55354910900
Image processing plays a vital role in MRI image processing. MRI images are widely used in medical fields for analysis and detection of tumour growth from the body. There are varieties of efficient brain tumour detection and segmentation methods have been suggested by various researchers for efficient tumour detection. Existing methods encounter with several challenges such as detection time, accuracy and quality of tumour. In this review paper, we are presenting a study of various tumour detection methods for MRI images. A comparative analysis has been also performed for various methods.SAR images are the high resolution images which cannot be collected manually. In this work, we identified the SAR images randomly from web with different region inclusions. The regions in an image include water area, land area and the mountain area. The implementation of proposed model is done in MATLAB environment. � BEIESP.
Cluster-based spectrum sensing scheme in heterogeneous network
(Springer Verlag, 2015)
Hasan M.K.
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Ismail A.F.
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Abdalla A.-H.
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Ramli H.A.M.
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Islam S.
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Hashim W.
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Badron K.
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55057479600
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36602773900
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24823900300
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35410461900
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56854827500
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11440260100
;
35387519800
In OFDM based Heterogeneous Networks (HetNet) deploying femtocells (HeNodeBs) causes� inter-cell interference in uplink as well as downlink. Spectrum allocation is one of the technique as many researcher identified. However, using frequency reuse/cognitive system for dynamic spectrum reallocation is also a challenging issues. Therefore, this paper focuses on unused spectrum sensing (SS) through proposing cluster-based spectrum sensing for OFDM based two-tier HetNets. The proposed SS scheme adopted the basic model of energy detector and compared with cooperative spectrum sensing scheme. In the proposed scheme, the energy detection model is extended into multiple channel detection model. To detect spectrums from nearby macrocell (macro-eNodeB) HeNodeBs are grouped into cluster. A cluster formation algorithm is also proposed in where, cluster head (CH) and signaling node (SN) will detect implies the multi-channel SS technique. The simulation results demonstrate that the proposed scheme can improve the spectrum detection with minimum error. The performance of the proposed scheme is evaluated in Monte Carlo simulation validate the scheme performance. � Springer International Publishing Switzerland 2015.
Cognitive energy efficient for closed-proximity devices: An empirical study and standardization issues
(Asian Research Publishing Network, 2015)
Hashim W.
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Ismail A.F.
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Kamrul M.H.
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Badron K.
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Raj R.M.
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Nasir H.A.
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11440260100
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36602773900
;
56532507700
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35387519800
;
56996859800
;
56532389900
We describe empirical study findings on the impact of throughput performance when transmission power is adjusted among access points in closed-proximity network devices. The experiment was conducted in an office environment to emulate such wireless LAN network. We introduce a potential energy efficient mechanism based on cognitively learning one of the attributes which then triggers the power selection. We show that similar throughput performance at the client can be obtained at reduced transmission power thus prevent an access point from maximizing power unnecessarily. We have also evaluated the impact of increasing and reducing power to other neighbouring access points. It was found that the improvement of throughput is increased to 44% maximum. Throughput performance alert is introduced in the mechanism to be aware of sudden throughput changes in the system. � 2006-2015 Asian Research Publishing Network (ARPN).
Comparing the performance of players unknown battle ground (PUBG) mobile app on iphone x and samsung s9 plus smartphones
(Science and Engineering Research Support Society, 2020)
Mkpojiogu E.O.C.
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Sherriff G.
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Hussain A.
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Hashim W.
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56946874700
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57216621522
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56212649500
;
11440260100
In this paper, we present the results of a comparative evaluation of the performance of the Players Unknown Battleground (PUBG) Mobile app on iPhone X and Samsung S9 Plus smartphones. The outcome indicates that Samsung S9 Plus performed better than iPhone X as perceived by players of the PUBG mobile game. This finding suggests that the quality of iPhone X for PUBG mobile app play should be enhanced toimprove on the experience of its users. � 2020 SERSC.
Computernumerically controlled machine to draw text on ardunio-based acrylic board
(Blue Eyes Intelligence Engineering and Sciences Publication, 2019)
Miftakul Amin M.
;
Deviana H.
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Andika R.
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Nguyen P.T.
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Hashim W.
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Maseleno A.
;
57202763676
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57210284616
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57210452484
;
57216386109
;
11440260100
;
55354910900
This paper presents Computer Numerically Controlled (CNC) machine to draw text on Arduino based acrylic board. The principle working of Computer Numerical Control (CNC) is a machine that is used for automatic control in the industrial world. It must more accurate, precise, flexible and suitale for production. CNC can reduce operator intervention during its operation. Design of computer numerically controlled machines for drawing text on Arduino-based acrilic boards is a tool used to draw text directly to an acrilic board based on the coordinates obtained from inkscape software. This tool consists of three translating axes, namely the X, Y, and Z axes. Each axis will move according to each coordinate obtained from the inkscape software and then sent to the microcontroller. This tool is only focused to draw the text is expected to not only draw the text, but also can draw another shape. � BEIESP.
Concept of telemarketing study and its type and importance
(Innovare Academics Sciences Pvt. Ltd, 2019)
Hermawati A.
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Lydia E.L.
;
Shankar K.
;
Hashim W.
;
Maseleno A.
;
56733006800
;
57196059278
;
57216575955
;
11440260100
;
55354910900
The telemarketing thought covers superb technique of telemarketing all over world. This technique is additionally called the within sales. It practices marketing, a technique wherever a sales person calls on to prospective customers and patrons to sell and gift the businesses� merchandise and services within the use of telephones and therefore the web. The telemarketing thought has been a rave technique within the business arena owing to the positive outcome and several other advantages. Many Businesses produce their own centre company to try to to the telecommerce task. These decision centres will either be in outward-bound or arriving calls. Either way, an enormous revenue come back comes by through these processes. The telemarketing thought has stunned folks within the business domain in many ways. This has several method of telemarketing coaching. These trainings area unit designed for various jobs. For a business to thrive, it is necessary for the top of workplace to follow a precise methodology or technique. A bit like in enjoying games, businesses would like a technique that's constant in manufacturing a positive outcome. Businesses have planned many strategies simply to seek out the proper approach for fulfilment. Through years of discovering and experimenting what methodology would satisfy these businessmen�s desires and necessities, the selling construct has been born. � 2019 by Advance Scientific Research.

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