bluuebunny/crossref_metadata_2025 huggingface dataset:
Effectiveness of Repetitive Transcranial Magnetic Stimulation for Improving the Verbal Memory of Patients with Anomic Aphasia in South Korea
Authors: Byeon Haewon , . .
Published: July 2024

Background/Objectives: The objective of the present research was to evaluate the effects of the repetitive transcranial magnetic stimulation (rTMS) application to the patients with anomic aphasia on the verbal memory (VM).Methods/Statistical analysis: This study was conducted on 31 patients, who were diagnosed with anomic aphasia due to the stroke. Subjects were randomly divided into a treatment group (receiving rTMS; n=16) and a control group (Sham TMS; n=15). The location of the rTMS stimulus was the left dorsolateral prefrontal cortex (DLPFC) and the 1Hz TMS was given 20 minutes per time and three times per week for four weeks. The positions of the electrodes of the Sham TMS group were identical to those of the treatment group and the stimulation stopped 30 seconds after the application.Verbal memory evaluation was conducted by using the Korean version of the Consortium to Establish a Registry of Alzheimer's Disease assessment battery (CERAD-K).Findings: The results of the ANCOVA indicated that there were significant differences (p <0.05) between the two groups in immediate verbal memory (IVM), recognition verbal memory (RVM), and delayed verbal memory (DVM).Â  The results of parameter estimation showed that IVM, RVM, and DVM were significantly higher in the treatment group by 1.9, 2.0, and 2.1, respectively, than in the control group.Improvements/Applications: The results of this study suggested that the repeated stimulation on the left dorsolateral prefrontal cortex using the rTMS could improve the VM of stroke patients.Â Â Â
Study of Building Aerodynamics for Designing Natural Ventilation System
Authors: Gupta Anuj , Vats Bhavyanidhi , Ahmed Anwer , Verma Sushant , Kumar Sharma Vipul
Published: July 2024

Study of building aerodynamics is an important part of building design because aerodynamic factor helps us to design considering wind velocity. If building has not been designed with this factor, wind may damage external walls of the building. In this study, 2D and 3D models of building in three different shapes has been considered for the simulation. Cylindrical, cuboidal and back stair type building has been considered with steady state, laminar air flow and building walls with no slip condition problem. With the study of air flow in the surrounding of the building, effect of air flow on the ventilation system will be concluded in this paper.Â Â
Outliers in Data Mining: Approaches and Detection
Authors: Mishra Deepti , Soni Devpriya
Published: July 2024

The paper is grounded on the study of outliers which are the objects that somehow arise unlike from residue data stored and can be pointed as outliers. At present in data mining Outlier detection is the currently innovative topic for research. Outliers detection in a set of patterns is a pertinent problem in the data mining area. Outlier mining is the problem of detecting unseen events, abnormal data and exceptions. Another perspective of outliers they affect the outcomes and analysis of data. Presence of outliers make the results in confusable state. The patterns generated after the calculations from the data are not authentic and precise because of the outliers. This is the focus of this review as well as of that of this paper as well. There are some common categories of outliers described in this paper. In the residue of this paper, we will discuss briefly about data mining, outliers and their different categories, data mining techniques for outlier detection, application to support outlier detection from the data set, and approaches for outlier detection.Â Â
Approach for Detection of Selfish Nodes in MANET
Authors: Varshney Ishu , Ali Shahjahan , Singh Bhairvee
Published: July 2024

MANET (Mobile Ad-hoc Network) is self-arranging framework using more than one mobile wireless node. The misbehaving of nodes is due to the selfish motives that appreciably decline the performance of MANET. So, itâ€™s essential to detect the selfish nodes to improve the overall potential of transmitting the data packet. Therefore, this paper basically deals with an approach on detection of selfish nodes in MANETs that further simulated in NS-2.Â Â
Network Reduction Impact on Optimisation Algorithms by Predicting Robot Movement
Authors: Chauhan Divyanshu , Singh Bhairvee , Varshney Ishu
Published: July 2024

Recently the size of the neural network has been increasing at a very fast pace. This increases the training time and computation cost required by the neural net. There are various ways to reduce the network to decrease the computation time and resource requirement.This paper measures the impact of network reduction on various optimisation algorithms by predicting Wall-Following robot movement. The network is reduced using the sensitivity of the neurons. Performance of various optimisation algorithms (Adadelta, Adagrad, Adam, Adamax, Rprop and SGD) are compared before and after network reduction. A single hidden layer neural network and a three hidden layered deep neural network are used for this experiment.Â Â
Effect of Alumina NANOPARTICLES as Additive on the Friction and Wear Behavior of POLANGA based Lubricant
Authors: Singh Yashvir , Sharma Abhishek , Singh Nishant , Singla Amneesh , P. Dwivedi S. , Kumar Srivastava Ashish
Published: July 2024

Environment degradation and non-biodegradability are the major problems associated with mineral-oil based lubricants. Non-edible vegetable oils are one of the suitable substitutes for the mineral oils. In this study, polanga oil was used as the lubricant to check its feasibility for the tribological behaviour. Alumina nanoparticles are added to the polanga oil on a weight-percentage basis. The variation of alumina (Al2O3) nanoparticles concentration with polanga oil was evaluated for the coefficient of friction and wear analysis.Â  Minimum coefficient of friction and wear was observed at 0.075% % concentration which gets further increased at 0.1 % concentration. The smooth surface of the pin was observed at 0.075 % nanoparticles concentration with the comparison to base polanga oil. Maximum total acid number changes was obtained at 0.1% concentration.Â Â
Stiffness Mapping of a 12 dof Parallel Manipulator with Flexible base and Top Platforms
Authors: R. Mishra V. , . .
Published: July 2024

A geometric scheme for stiffness mapping of 12 dof parallel manipulator with flexible platforms is presented. The manipulator resembles the construction features of Gough-Stewart platform with a difference that both of its platforms have been made flexible by using mobile knots. It is also shown that the tilt angle of the top platform of the proposed manipulator is more as compared to Stewart-Gough platform which increases the workspace of the proposed manipulator. In this study, comparison is also made with manipulator proposed by other investigators. Upon comparing the tilt angle of proposed manipulator it is found that, a manipulator with flexible base with same size of top platforms yields better reach within the workspace.Â
Modern Very Fast Decision Tree Model for Mining High-Speed Time-Series Data Stream
Authors: Vanitha Katherine A. , Kamalavalli T. , Vinothini S. , Jagannath M. , E. Jayanthi V.
Published: July 2024

Data mining is one of the drastically growing research fields in data analysis. Data is generated on a person, object, element, label in terms of time, days, months, years. Although ample algorithms currently exist for high-speed data streams, they fail to efficiently scale up the data when the data size is large. In this paper, an algorithm is proposed to perform clustering for high-speed data streams using Modern Very Fast Decision Tree (MVFDT) model. It replaces the old decision tree model by clustering to enhance its accuracy. MVFDT takes clusters based records in the database and compares with other cluster of records if any relationship among the records. MVFDT reads a model for clustering which is similar in accuracy of Very Fast Decision Tree (VFDT). In VFDT, new samples are arrived every time for a moving window. But the result of VFDT does not provide satisfactory in terms of data scalability, i.e., large in volume. MVFDT incorporates three different functionalities such as dynamic tree formation, windowing based clustering and classification for calculating the Frequent Pattern (FP) and query process. Experiments are carried out by using large set of time-series and time-changing data streams to compare the clustering and mining efficiency of MVFDT. Experiment results seem to prove that MVFDT model provides more mining efficiency than VFDT.Â Â
Chronic Conjecture and Uncertainty Detection by Machine Learning
Authors: Jegan Amarnath J. , Kumar Sahoo Pradeep , Anand.M Suresh , Mamutha Nisha A. , Priyadharshini B. , Sumitha V.
Published: July 2024

The early disease risk detection and appropriate diagnosis for the chronic disease is possible with the help of analysis of the medical data.Â  The analysis accuracy was reduced due to the incompleteness of medical data. Different areas or regions manifest different chronic outbreak which leads to loss of many lives. In this project, we converge machine-learning algorithms for the effective risk prediction of the chronic heart disease and provide early treatment for the disease in disease-frequent communities. The electronic health record collected from the hospital is categorized based on the clinical attributes of the patient and by using the statistical analysis, the overall risk for the heart disease is found .So for reduce the risk of incomplete datas can be use an observable variable to rebuild the absent data which improves the pre-processing effectively. This project uses a new ConvolutionNeuralNetwork (CNN) supported multi-modal disease-risk prediction procedure for the un-structured data, Decision tree algorithm for structured data to find the risk of the chronic disease. Based on the level of the risk, the treatment plan is provided automatically. In the domain of medical big data-analytics, very few existing works focused on both data types.The accuracy of the proposed prediction algorithm will reach more than 94.8% with convergence speed when compared with many other prediction algorithms. This is faster than the convolution neural network (CNN) based uni-modal and existing multimodal disease-risk-prediction method.Â
Sugar Level Detection Using Thermal Images
Authors: Suresh Anand M , Balamurugan M , Shubathra R , Ragavi M , Bhagya Lakshmi Priya R
Published: July 2024

Diabetes mellitus, commonly called as Diabetes, in which the person has high sugar level. Insulin, produced by the pancreas, is responsible for controlling the level of blood glucose level. The lack of production in insulin leads to Diabetes. If the problem left untreated, it leads to serious complications includes cardiac problems. There are various invasive techniques to diagnose diabetes. In this project we are using mid infrared rays instead of near infrared rays to acquire the thermal image of the palm. The thermal imagesÂ  are pre-processed and segmented using k means clustering. Then they are subjected to feature extraction and then classified using classifiers. The classifiers like SupportVectorMachine(SVM),ProbabilisticNeural Network(PNN),K-Nearest Neighbour Network (KNN) are used to diagnose the thermal images of palm.Â Â
Multi-relay Antennas for Energy Harvesting Cognitive Radio Networks using Energy-Assisted Decode Forward Method
Authors: Priyanka Yadlapalli , Arthi R
Published: July 2024

The single antenna relay energy-assisted decode forward (EDF) was not applicable for multi cognitive users that has less data rates. In order to achieve higher data rates with increased user demands energy harvesting or Simultaneous Wireless Information and Power Transfer (SWIPT) enabled networks with multi antenna relays are highly recommended. The proposed work considers multi relay EDFSWIPT for 5G systems with presence of transmitter and an antenna array. The transmitter affords information and energy to various multiple single-antenna secondary receivers (SR). The SR outfitted with a power splitter receiving system where multiple primary relays are introduced. The goal of proposed work is to amplify weighted sum rate harvested energy for SR using multi relay EDF. The simulation considers the capacity, outage probability, and throughput for both primary and secondary networks with respect to both single multi relay EDF. The simulation results afford that multi relay EDF has better performance than single antenna array EDF.Â
Study on Rotor Position Sensing Method using Inductance Displacement Sensor
Authors: Lee Won-Doo , Lee Dong-Yeol , Jeong Myeong-Sik , Kim Han , Kang Dong-Woo
Published: July 2024

Background/Objectives: There are disadvantages of position sensing method using the encoder. In this paper, we use inductance displacement sensor to reduce the disadvantages of existing position sensing method.Methods/Statistical analysis: The inductance displacement sensor outputs the inductance value that changes according to the eddy current of the conductor surface. At this time, if the conductor pattern is provided, the inductance value changes as the motor rotates. It can be used as a sensor for measuring the rotor position at which the inductance at this time is divided by 360 degrees between the lowest value and the high value.Findings: The position sensing method using the encoder used in the existing electric motor system is difficult to downsize due to the size of the encoder itself and the additional structure, and the dynamic characteristic also decreases due to the mechanical connection part. However, when using an inductance displacement sensor, no additional structure is required, and position can be sensed simply by inserting the conductor pattern. Through the experiment, the encoder and the conductor giving the pattern were connected, the inductance displacement sensor was attached, and then the position of the rotor was measured using the LabVIEW program. As a result, it was confirmed that the position of the rotor measured by the position of the rotor inductance displacement sensor measured by the encoder matched. The measured position sensing waveform was input to a simulation PMSM (Permanent Magnet Synchronous Motor), and the result was derived to confirm that the motor was operating normally.Improvements/Applications: In this paper, we have proven that the inductance displacement sensor can replace for the encoder through the experiment, so we can solve the shortcomings of the existing encoderÂ Â
Survey on Data Security and Privacy Preserving in Big Data
Authors: A.Vineela A. , Kasiviswanath N. , Sudha Ran L.
Published: July 2024

With the rapid growth of IT industry, big data needs the improvement in storage, computation and network field. This enhancement also brings the new security and privacy issues to the big data. The researchers are attracted towards to solve the security and privacy issues. This paper made a survey on characteristics of big data along with security issues. The traditional security methods of cloud computing are not appropriate to the big data. Privacy preserving is also one major issue in big data. This survey also provides complete study on research issues and challenges of privacy preserving and the comparison is made to the privacy preserving techniques. Finally, this paper provides comprehensive overview of the methods to solve the big data security problem.Â Â
Modeling Intelligent Health Care Using Multi-Agent System
Authors: Sarangi Lokanath , Naryan Mohanty Mihir
Published: July 2024

Health monitoring can be automated through the help of multiple agents by data collection, coordination and storage. In this paper, we plan to organize our multi-agent architecture in two units. First one is the source unit, which contains smart wireless sensors and collection agent. The sensors read the vital signs from the patientâ€™s body and they transfer the data to collection agent. The collection agent checks the received data whether it is redundant or not. The valuable medical data are then compressed and sent to updation agent in the destination unit. The updation agent updates the medical data into the database and physician. The physician gives the exact prescriptions for the received medical data with the help of medical history obtained from the database. The prescriptions are transferred to the database and transfer agent. The transfer agent transfers the prescriptions to corresponding collection agent after the compression process. The collection agent conveys the prescriptions to the patient after the decompression. Finally, the experimentation was made and we saved 1:5 of data by our proposed MAS system. Our implementation is done using JADE.Â Â Â
Optimal Bidding by IPP in a Restructured Dynamic Competitive Electricity Market Adopting IGWO Method
Authors: Agrawal Ramachandra , Tripathy Smrutirekha , Sitikantha Debashis , Gopal Krishna , Kumar Debnath Manoj
Published: July 2024

In a restructured Electricity Marketplace the Independent Power Producer (IPP) has to bid adequately to optimize their profits for each self independently. So each IPP of the electric power market should bid to adopt a proper strategy enabling it to win the maximum share of the total power demanded at any specific trading period from its rivals participating in the competitive market. In this present work, a very latest and efficient bio-inspired method known as Improved Grey Wolf Optimization (IGWO) has been considered to find out the optimal values of the bidding coefficients. The implementation of IGWO evidenced much better output in terms of higher profits in comparison to the earlier methods reported recently by the eminent researchers. Additionally, a new case study involving an entire trading day with the ramp rate constraints for the IPPs along with the consumer demand variation, both on an hourly basis, is presented, which has not been proposed by anyone so far. The Market Clearing Price (MCP) variation is also kept within the specified extreme boundaries during each hour of the entire trading duration of the day depicting a dynamic market environment. The proposed technique along with the simple GWO method when tested on IEEE 30 Bus standard configuration incorporating 6 IPPs in the MATLAB environment resulted in much-improved outcomes compared to the latter case.Â Â
A Powerful Web Benefit Positioning Strategy by Means of Investigating Client Conduct
Authors: Gupta Sandeep , Tyagi Nitin , Kr. Saraswat Krishan , Pratap Srivastava Arun , Awasthi Shashank
Published: July 2024

Administration situated figuring and Web administrations are winding up increasingly prominent, empowering associations to utilize the Net for business opportunity offering Net benefits & expanding current Net administrations. By the by, through expanding reception & nearness of Net administrations, moves toward becoming more hard to locate the most proper Web benefit that fulfills the two clients' useful and nonfunctional necessities. In this paper, we propose a powerful Web benefit positioning methodology in view of communitarian sifting (CS) by investigating the client conduct, whereÂ  summon and question past records is utilized to construe the probable client conduct. CS-rooted client similitude ascertained through comparative summons and comparative inquiries (counting useful question and QoS inquiry) between clients. Three angles of Web administrationsâ€”useful significance, CS rooted outcome, and QoS utility, altogether contemplate in last Web benefit positioning. Dodging effect various components, scale, & dispersion of factors, 3 positions is ascertained the 3 measures separately. Last Web benefit positioning gotten through utilizing a score accumulation strategy dependent through score stand. The paper likewise propound compelling assessment measurements for assess the methodology. Substantial parameter tests were directed dependent to the certifiable Net benefit data subdivision. Exploratory outcomes demonstrate that the proposed methodology outflanks the current methodology on the rank execution.Â Â
Analysis and Review of Extraordinary Machine Learning Approaches
Authors: Tyagi Nitin , Gupta Sandeep , Pratap Srivastava Arun , Awasthi Shashank , . .
Published: July 2024

Machine learning is utilized in the medicinal imaging field, including PC supported finding, picture division, picture enrollment, picture combination, picture guided treatment, picture explanation, furthermore, picture database recovery. Deep learning techniques are arrangements of calculations in machine learning, which endeavor to consequently take in numerous levels of portrayal and deliberation that assistance, comprehend information. This thusly prompts the need of comprehension and looking at the attributes of profound learning approaches, with the end goal to have the capacity to prosecute and process the strategies in legitimate manner. The aim of this article is to assess deep learning (DL) strategies for therapeutic area also to comprehend if DL techniques (random recursive support vector machines (R2SVM), stacked sparse auto-encoders (SSAE), stacked denoising auto-encoders (SDAE), K-means deep learning calculation) beat other best in class approaches (K-closest neighbor, support vector machines, greatly randomized trees) on two arrangement undertakings, where different strategies are assessed for a transcribed digit (MNIST). Results demonstrate that the SSAE, SDAE what's more, the SVM accomplish the most noteworthy exactness among all assessed methodologies on both datasets.Â
Effectual Recommendations Using Concealed Feature Method
Authors: Saxena Noopur , Awasthi Shashank , Pratap Srivastav Arun , Gaurang Tiwari Raj
Published: July 2024

In the Collaborative Filtering, for the product recommendation, we not only consider the silhouette of the lively user but also consider the neighborhood of the lively consumer with analogous inclinations. In the approach of Collaborative filtering, we collaborate to assist each other in filtering the files they access, through using their reactions/comments. The recommender systems are exploited by massive researchers to improve the internet search. Content based filtering is another approach of recommender systems. In this paper, we concentrate on userâ€™s conduct rather than product/ object information. We determine the concealed characteristic of the product due to which product is highly/poorly rated by user. We estimate the missing rankings of unrated products by way of thinking about concealed characteristic and by using exploiting collaborative suggestion is performed.Â  Â
On the Multimetal - Multiligand Complex Formation Equilibria of Adenine and Histidine
Authors: Verma Shalini , Kumar Srivastava Bipin , Rani Nidhi , Krishna V.
Published: July 2024

Quaternary metal chelates of Cu (II), Co (II), Cd (II), Pb (II), Zn (II) and Ni (II) metal ions with Adenine and L-Histidine have been studied by Potentiometric technique at 0.1 M NaNO3 ionic strength under biologically relevant condition in aqueous medium. Formation of quaternary species along with hydroxyl, protonated, binary and ternary species has been reported. The percentage of species formation of different systems was determined through SCOGS computer program by utilizing titration values of ternary and quaternary systems. The obtained species percentage was shown through graphs plotted between species and solution pH. The distribution of species at different pH was sketched out through ORIGIN 6.1. The order of stability constants of quaternary system has been calculated. Speciation curves of all the quaternary system under studied show that complexation takes place simultaneously.Â Â
Legal Status of Crypto Currency in India: A critical review
Authors: Afzalur Rahman Dr. , K. Mohamed K. Mohamed Jasim Mr. , Ayub Khan Dawood Dr. , . .
Published: July 2024

Cryptocurrency is a new concept that claims to be a replacement of the fiat currency. Due to the interest of the people in the cryptocurrency around the world catch the attention of the regulatory bodies. In a different country, it is treated as different. As far as India is concerned the status of cryptocurrency is under evaluation period. This research paper tries to find the status of the cryptocurrency in the eye of law tries to define it and found that it is not a currency or legal tender as per the Indian legislation however it may be treated as goods.Â
A Study on Consumer Perception of Copper Bottles with Reference to Hyderabad city
Authors: MM Quazzafi Mr. , Geeta Kesavaraj Dr. , . .
Published: July 2024

Businesses benefit from eco gracious wherein general trends of lucidity, connectivity, and expanded familiarity with maintainability issues add to the general benefit of promoting messages. The customers are expecting and demanding the sustainability-oriented products in a world more candidly involved with health concerns. Â Currently, eco-friendly have an excellent opportunity to gain market grip and increase the consumer base. In coming days, eco -friendly will be a necessary aspect of the commercial world. Copper is your friendly neighbourhood superhero as far as its benefits are considered, not just to the human body, but to the environment too. It is a cheap metal, available in abundance as well as easiest to recycle. There are several benefits of copper, here are some to our health and our environment at large. Despite all the benefits of copper, one must remember that copper is only required in trace amounts in the human body. One must also remember that too much of a good thing could also become harmful, especially, if we are talking about the delicate balance of the human chemistry. Water makes 75% of our anatomy, however, one cannot keep on drinking water stored in copper vessel, all day and every day. In the above context the aim of the research is to examine the perception of buyers towards copper water bottles in Hyderabad. Data were collected through questionnaire survey of 50 customers of Hyderabad based on convenient sample. A Chi-Square test were employed to the test Association between awareness and usage of copper bottles, benefits and usage of copper bottle and effects and usage of copper bottle.Â Â
Intelligent Decision Support System for Transport Infrastructure Investment with Emphasis on Joint Logistic Concept
Authors: Abdalla Alameen Dr. , Ashu Gupta Dr.
Published: July 2024

The point of this proposal is to give to the legislative chief/client, an instrument that can help him/her in enhancing the foundation speculation choice in the efficient, ecological and maintainable angles. This implies, the Return on Investment (ROI) of the concerned transport framework, fulfilling natural and maintainable imperatives must be certain, and comparing to an ideal venture cost. The choice emotionally supportive network can be connected in two measurements. One measurement is the place the genuine arrangement process is happening among private and open partners, called "ongoing transaction process". The second measurement is the place the arrangement procedure is induced by the client (open part) without private partners communication (yet with association through re-enactment), called "virtual transaction process". The re-enactment and nearby advancement procedures, in stage with operator innovation, utilized in the "virtual transaction process" empower us to accomplish a specific measure of elective choices to the essential/proposed choice to be assessed.Â Â
Acceptance Model of Web 2.0 Technology in self-learning: the perspective of TOE and STS
Authors: Dewi Lulu Widyasari Yohana , Edi Nugroho Lukito , Erna Permanasari Adhistya
Published: July 2024

The development of web 2.0 technology has an impact on the communication and collaboration processes carried out by its users. The use of social technology in the formal organizational environment and for formal needs is influenced by several factors. The TOE and STS aspects are used to understand the use of this technology for formal learning purposes that are carried out independently or self-learning. The TOE aspect is used to analyze technology components in relation to the organization and environment that uses it. The STS aspect is used to see the suitability of the technology to the task and its users including from the social side. Acceptance of social technology attached to web 2.0 technology by students by utilizing for the learning process need to be analyzed. The use of social media for the self-learning process shows that perceived behavior control does not significantly affect the intention of its users. User intention on social media in the self-learning process is influenced by the attitude and subjective norms of its users. The social influence brought by web 2.0 technology influences the subjective norms of its users.Â
An Evaluation Using Cloud Services for Car-To-Car Communication
Authors: Yogarayan Sumendra , Azman Afizan , V Devarajan Logaraj , Chandran Premnath , Fatimah Abdul Razak Siti , Jai Raman Kirbana , Fikri Azli Abdullah Mohd , Zainab Ibrahim Siti , Sonai Muthu Kalaiarasi
Published: July 2024

Modern hand-held devices such as smartphones and tablets have become high in demand. Wide range of commercial concepts and possibilities have come into the limelight due to the extra features fitted in these devices. In particular, most smartphones and tablets regularly include cameras, high-speed processors, GPS and internet access. With emerging technology, there are many applications that allow the processing of real time information and location based services. Mobile devices from various platforms gain much popularity and become more advanced these days. In short, we are using them to accomplish our daily tasks. Hence, two applications are developed and tested with cloud services integration.Â Â
An Integrated Vehicle Servicing and Breakdown Assistance System
Authors: Yogarayan Sumendra , Azman Afizan , Fatimah Abdul Razak Siti , Jai Raman Kirbana , Fikri Azli Abdullah Mohd , Zainab Ibrahim Siti , Sonai Muthu Kalaiarasi
Published: July 2024

Integrated connected car management system (ICCMS) technology focused on the car management. The system of ICCMS is the inevitable development trend of the next generation connected car diagnostic system, it is important for drivers to be connected of the cars details and as well convenient possibilities. This paper is based on a system development, to manage car internal states, requesting for service/towing and to operate in centralized database. At the end of the paper, the technical development prospect was discussed.Â  Â
Building TabuCount Application to counting Tabu Search iteration with Borland Delphi 7
Authors: . Miswanto , Yudha Bramantara , . Sapriyanti , Setiawan Hendra , Novel Kadinar
Published: July 2024

This research aims to build desktop application called TabuCount with Borland Delphi 7.0 application in the Software Engineering subject. TabuCount helping other researchers or other students who used Tabu Search Algorithm like Travelling Salesman Problem to count each iteration step by step, and minimized human error for counting number. This research used Research and Development (R&D) design procedures through 5 steps, which are: (1) data classification, (2) data collecting, (3) design application, (4) field testing, and (5) building application. Based on the results of manual count with Ms. Excel and the TabuCount result, it was obtained the same result are valid and applicable. For an effective based on the research, TabuCount application were effective to use. Therefore, researchers who wanted to use Tabu Search Algorithm (Travel Salesman Problem) is suggested to use TabuCount as an alternative support application.Â Â
Comparison of Different Wavelet Sub-Band Features in the Classification of Indonesian Stop Consonants in CV Syllable Context
Authors: Kristomo Domy , Hidayat Risanuri , Soesanti Indah
Published: July 2024

In the research field of signal processing by using wavelet method there are some factors affecting the accuracy of recognition such as the selection of the sub-band parameter, the selection of suitable mother wavelet or coefficient, and the determination of decomposition level. This paper presents a comparative study of three wavelet-based sub-bands (WBSB) combined with the moving average energy (MAE) features for classification of Indonesian stop consonants in consonant-vowel (CV) context. Three different feature sets used in this study are the MAE of each different wavelet sub-band using mother wavelet of daubechies2. The first feature set is the MAE taken from standard wavelet packet (WP) sub-band at the 4th level of decomposition denoted as WBSB. Whereas the second and third feature sets are the MAE taken from WP which the sub-band is selected based on the previous research denoted as WBSB1 and WBSB2. For the classification of the stops sound signal after feature extraction process, two different classifiers were used, based on multi-layer perceptron and random forest. The experimental result showed that the performance rank of feature extraction method were WBSB, WBSB1, and WBSB2, respectively.Â Â
Distribution System for Urban Agricultural Products Using Genetic Algorithms based on Android
Authors: Uzzin Nadhori Isbat , Syauqi Ahsan Ahmad , Astika Saputra Ferry , Hendra Prasetya Tony
Published: July 2024

Urban agriculture is an agricultural activity (farming and cultivation) inside the city. Urban agriculture generally produces fruits and vegetables that have a short shelf life. Urban agricultural activities include production, distribution and marketing of agricultural products. Efficient distribution's routes are highly needed for better delivery of agricultural products to customers. Failure in route selection could increase shipping and operating costs, and also could reduce the product's quality. Itt is necessary to obtain the right route to distribute products that could reduce operational costs and maintain the quality of product until the destination. This research develops an application to determine the distribution route for urban agricultural products using genetic algorithms. This application can calculate the optimal distribution route so that in the process of distribution of urban agricultural products can be done accurately and efficiently. Route optimization with genetic algorithms successfully optimizes the best route, and can be seen from the fitness value that continues to increase each generationÂ
Gamifying Student Routines to Improve Campus Experience Through Mobile Application in Indonesia
Authors: . Janssen , Rusli Andre , Irmina Prasetiyowati Maria
Published: July 2024

Smart campus is an emerging concept in recent years that enables as a part of the smart city movements which leverages the use of information technology in building a comprehensive and sustainable living environment. Several campuses in Indonesia and abroad have already started the movement and integrate the collegesâ€™ data and provide a digital experience for the campus communities. In order to motivate the communities, in this case the students, to leverage IT tools and platforms to improve their learning experiences, utilizing gamification and mobile technologies are seen to be the suitable combinations. Gamification as a concept to enhance user participation is also gaining a lot of tractions in recent years, including in the higher education sector. Many researches have shown that gamification is effective to improve motivations in core learning activities, to push students to be more proactive in gaining knowledge. This research is conducted to integrate a new mobile application to the existing smart campus platform in Universitas Multimedia Nusantara, Indonesia, while also gamify several student routines and activities to enhance the campus experience. The system is built as a hybrid mobile application and evaluated for its user acceptance by analyzing its usersâ€™ perceived usefulness and perceived ease of use which are derived from the technology acceptance model (TAM). Based on the feedbacks gathered from the users, the gamified system is perceived to be easy to use and useful to increase studentâ€™s participation and to motivate the users to actively complete their campus routines.Â Â Â
Implementation of FPGA in Index Data Storage as A Database
Authors: Wahyu Wibowo Ferry , . .
Published: July 2024

Nowadays, the database applications have been built on the top of file systems. Although this system is very tough it has a side that should be aware and concerned. If the database doesnâ€™t manage well it will cause some problems i.e. data redundancy and inconsistency, difficult to access data, data isolation, and integrity problems. The data inconsistency could be emerged by duplication of information from one or many different files or multiple file formats. the hardware-based implementation provides benefits in modifying and reconfiguring, meanwhile, the acceleration using this approaching has a good performance than software-based. In major cases, both of them using a bridge to connect each other which is called co-hardware/software.Â Â
Selective Epoxidation of Crude Oleic Acid-Palm Oil with in situ Generated Performic Acid
Authors: Jumain Jalil Mohd , Farhan Mohd Yamin Aliff , Hua Chang Siu , Suhada Azmi Intan , Morad Norhashimah , Hadi Abdul
Published: July 2024

The potential utility of epoxidized vegetables oil has begun to be realized in industrial application with increasing the concern of research to develop value added products from the available vegetables oil. Epoxidized oleic acid is often regarded as a high value oleochemical due to wide range of industrial applications including cosmetic, lubricants, painting and as chemical precursor. For safety reason epoxidation of oleic acid using peracid formed in situ by reacting a carboxylic acid with concentrated hydrogen peroxide (H2O2) was selected. The aim of this study is to optimize the epoxidation of oleic acid of palm oil. The method was evaluated on different parameters such as oxygen carrier, concentration of catalyst as well as different type of vegetables oil. The optimum relative conversion to oxirane (86%) was achieved for 20 minutes of reaction time. From the findings formic acid is a good oxygen carrier for in situ epoxidation. Epoxidation results were based on complete conversion oxirane, rate of epoxidation and stability of the oxirane. This study shown oleic acid was succeffuly transformed into epoxide and oleic acid derived from palm oil potential raw material for production of sustainable and friendly epoxide.Â Â
The Conceptual Framework of Community Resilience of the Flat Residents
Authors: Runtunuwu Sherley , Sudikno Antariksa , . Surjono , Rini Dwi Ari Ismu
Published: July 2024

The government, non-government organizations and community leaders in some countries were challenged to design and implement policies, programs and systems that could help local communities to overcome various threats. Changes of situation in the community, such as relocation, was considered a threat. In Indonesia, especially DKI Jakarta, in order to implement the Urban Environment Management Program, the government relocated the community who occupied illegal land to simple rental flat (rusunawa). People who were impacted by this policy had to adjust themselves to the new environment to make living, and some other chose to stay in a modest flat. The concept of community resilience has been an interesting issue as it dealt with the ability of something, someone or even society in overcoming difficulties, to recover and return to normal conditions at the right time. This study was done to propose a conceptual framework for community resilience for the residents of modest rental flats and to determine a standard method to examine the community resilience among residents of modest rental flat who were impacted by the relocation policy. Literature review was done to obtain secondary data and relevant scientific literature. In addition, observations were done to several modest flat which were established prior to the relocation policy (Marunda, Rawa Bebek and Kapuk Muara Penjaringan). To measure the strength and direction of the independent variableâ€™s contribution to the dependent variable, Variance Based Structural Equation Modeling was administered using the Smart-PLS program. The proposed conceptual framework for community resilience among the residents of modest flat covered 8 (eight) aspects, namely: 1) economy; 2) social; 3) culture; 4) human resources; 5) ecology; 6) physical; 7) politics and government and 8) technology. Those aspects should be taken into consideration in order to increase the capacity of modest apartment to stay. For the government or policy makers and information planners, the proposed framework can be used as an input for policy making, determining the priority scale, fund allocation and the enhancement of the sustainable flat housing development programs.Â Â
Vehicle Service Locator Using GPS and Cloud Service on Android Platform
Authors: Yogarayan Sumendra , Azman Afizan , Wai Ko Wai , Fatimah Abdul Razak Siti , Jai Raman Kirbana , Fikri Azli Abdullah Mohd , Zainab Ibrahim Siti , Sonai Muthu Kalaiarasi , . .
Published: July 2024

Location-based services are becoming a part of everyday life especially with the development of mobile communication, which include navigation systems, emergency services, tour planning or even finding the most convenient restaurant around. They have been playing an important role in providing necessary services efficiently with the use of Global Positioning System (GPS). When it comes to vehicle servicing, the problems faced by the users still remain especially in case of emergency breakdown mostly in finding the nearest services available. Consequently, this gives the encouragement to come out with a solution, which would help users ease their process of solving such problems. Vehicle Service Locator (VSL) allows user to locate the nearest tow trucks available, towing services and nearest vehicle service centers according to userâ€™s location data obtained via GPS and provides directions based on the user's current location.Â Â
WP-Rank: Rank Aggregation based Collaborative Filtering Method in Recommender System
Authors: Lestari Sri , Bharata Adji Teguh , Erna Permanasari Adhistya
Published: July 2024

Collaborative filtering with a traditional rating-based approach uses interaction records between users and systems to measure similarity, prediction, and generate recommendations. However, traditional rating based cannot capture user preferences of different products. To overcome this issue, the ranking based approach, such as the Borda method has been used. The method takes advantage of rating data to determine the position of the product in the list of preferences as the basis for determining product points. However, the list of the preferences which is merely based on rating data, results in an insufficient accuracy of the recommendation. This paper, therefore, proposed a novel approach namely the WP-Rank aggregation method which maximizes the use of rating data to generate product weight. The experimental results show that the WP-Rank method was superior to the Borda method with NDCG average value difference of 0.0220. However, the WP-Rank method required longer running time with 0.0206 seconds lag from the Borda method.Â Â
Performance Based Economical Design of Hybrid Filter and APFC to Improve the Power Quality of Industry
Authors: Nikum Karuna , Wagh Abhay , Saxena Rakesh , Mishra Bharat
Published: July 2024

The aim of this paper to analyze the power quality (PQ) and provide a cost effective solution to mitigate the harmonics and improve the power factor (PF) in industry. The detailed harmonic analysis and monitoring performed to rectify the PQ issues. Â In this paper automatic power factor correction (APFC) for power factor improvement and hybrid power filter (HPF)which is combination of (APF) and passive Power filter (PPF) has been proposed. The design of active filter by two different control scheme has been proposed and compared. The modelling and simulation has been carried out to verify proposed analysis in MATLAB Simulink environment individually. To make the proposed solution cost-effective, combination of PPF only Â for fifth harmonic frequency and APF for other remaining harmonic frequencies has been used. The HPF reduces the cost as well as rating of the APF. The cost and rating of APF is also compared with and without passive filter of the system.Â Â
Study of Reversible Data Hiding in Encrypted Images
Authors: Suryawanshi Pornima , Mane Vanita , Padiya Puja
Published: July 2024

In our daily life we outsource the multimedia files such as images, videos etc. to the cloud server. Â So this data need to be stored securely. This security is obtained by using different encryption techniques. The study shows that Reserving Room Before Encryption is much better than the Vacating Room After Encryption. Because Reserving Room Before Encryption gives the better image quality and large payload capacity than Vacating Room After Encryption. But RRBE is having some security isues which is limitation of this method. To overcome this problem Reversible Image Transformation (RIT) based framework is used which is client free framework. In this framework the encrypted image is stored in the form of plaintext. Â So it will avoid the attention of curious cloud. This paper focuses on different RDH methods.Â Â Â
Efficient Part Recognition Method in Vision Guided Robots using Orthogonal Moments
Authors: Kumar Balabantaray Bunil , Narayan Mahapatra Rabindra , Bhusan Biswal Bibhuti
Published: July 2024

The best method in developing automated assembly system is the integration of the machine vision tools with the robot in the assembly platform. Vision system plays an important role in building an autonomous robotic part assembly system. Recognition of the correct part in the assembly line is the key issue while grasping the parts by the robot. The captured images of the parts on the assembly line may be affected by geometric transformation such as rotation, translation, scaling and may be corrupted by Point-Spread-Function (PSF) blurring of camera. In order to recognize parts in such type of condition, three steps are followed in this paper. Firstly, features of the parts are extracted by using combined orthogonal Zernike moment. Secondly, the original part image is reconstructed by using combined orthogonal Zernike moment. For this reconstruction, the moment order is selected by a proposed algorithm. The optimum moment order will maintain a proper balance between the reconstruction capability and sensitivity to noise. Finally, for classification of parts used in assembly nearest-neighbor classifier is used. The suggested technique is implemented in LabVIEW and the simulation is successfully performed in an assembly system with 6-DoF Kawasaki robot.Â
Wireless Communication Between Embedded Systems based on FPGA
Authors: Narakadan Daryl , Pai Sadhana , Rajput Manita
Published: July 2024

Nowadays most of the applications require wireless connectivity to seamlessly send and receive information in different networks. In most of the scenarios this was achieved via microcontrollers and RF transceiver modules. The scope of this project is to implement a wireless interface layer between end user device running on different wireless medium using a interconnect model. In this project we use a model that is based on FPGA. Using FPGA rather than microcontroller has its various advantages such as low power consumption, high computation speed and better efficiency. Also for the wireless medium we research on various medium and select the most compatible one. The project will establish communication using UDP packets, which would facilitate wireless transfer of data over robust Wi-Fi technology.Â Â