Online Data Retrieval Research Articles

An efficient deep neural network channel state estimator for OFDM wireless systems

AbstractChannel state estimation (CSE) is essential for orthogonal frequency division multiplexing (OFDM) wireless systems to deal with multipath channel fading. To attain a high data rate with the use of OFDM technology, an efficient CSE and accurate signal detection are required. The use of machine learning (ML) to improve channel estimates has attracted a lot of attention lately. This is because ML techniques are more adaptable than traditional model-based estimation techniques. The present study proposes a receiver for low-spectrum usage in OFDM wireless systems on Rayleigh fading channels using deep learning (DL) long short-term memory (LSTM). Before online deployment and data retrieval, the proposed DL LSTM estimator gathers channel state information from transmit/receive pairs using offline training. Based on the simulation results of a comparative study, the proposed estimator outperforms conventional channel estimation approaches like minimum mean square error and least squares in noisy and interfering wireless channels. Furthermore, the proposed estimator outperforms the DL bidirectional LSTM (BiLSTM)-based CSE model. In particular, the proposed CSE performs better than other examined estimators with a reduced number of pilots, no cycle prefixes, and no prior knowledge of channel statistics. Because the proposed estimator relies on a DL neural network approach, it holds promise for OFDM wireless communication systems.

Trends and Analysis of Graduate Programs

Due to the influx of students in higher education institutions, this study was designed to generate, process, and analyze students’ information using online data retrieval. The system was crafted using data mining techniques. The PHP scripting language for web development and the V-Model Design were employed during the course of the study. To analyze the data, simple recursive algorithm was used. The procedure solved the base cases that directly recurs with a simpler sub problem and does some extra work to provide the solution to the simpler sub problems. In this study, it combined the records from one table to another to generate results and determine all the registered enrollees in the system. Respondents included new students, old students, and the graduates of the academic institution under survey. The objective is to replace the actual rigorous paper works during every transaction engaged by the students. The system used to generate information on enrolment, vertical alignments, and program trends. The study found out that the system was deemed effective in terms of system, information, and service quality.

Distribution and spread of the mobilised RND efflux pump gene cluster tmexCD-toprJ in clinical Gram-negative bacteria: a molecular epidemiological study

TMexCD1-TOprJ1, which is associated with phenotypic resistance to multiple classes of antibiotics, is a transmissible resistance-nodulation-division (RND) family efflux pump. However, the prevalence and genomic and phenotypic characteristics of clinical isolates with this important resistance determinant are poorly understood. In this study, we aimed to survey tmexCD-toprJ among clinical Gram-negative isolates collected from hospitals in China between 1991 and 2020 and characterise tmexCD-toprJ-positive clinical isolates. We conducted online data retrieval and active nationwide surveillance in China to screen tmexCD-toprJ-positive strains. We characterised tmexCD-toprJ-positive clinical strains for their antimicrobial susceptibility, genetic and functional characteristics, and the potential inter-species transmission route of tmexCD-toprJ with whole genome sequencing and bioinformatics analyses. The function of tmexCD-toprJ in Pseudomonas sp and Proteus sp was investigated by tmexD gene knockdown using an isopropylthio-β-galactoside-inducible CRISPR interference system. Data retrieval obtained 53 strains carrying tmexCD-toprJ, comprising 32 Pseudomonas spp, 11 Klebsiella pneumoniae, one Aeromonas spp, one Citrobacter freundii, and one uncultured bacterium from diverse niches. 48 (0·64%) of 7517 clinical isolates from China, including seven Klebsiella spp, one Proteus mirabilis, and 40 Pseudomonas spp, carried tmexCD-toprJ. These isolates exhibited multidrug resistance phenotypes and co-harboured resistance genes, such as mcr and carbapenemases genes. tmexCD-toprJ was encoded on both plasmids and chromosomes in all Klebsiella spp that carried plasmid-borne tmexCD-toprJ (n=7), P mirabilis carried chromosome-borne tmexCD-toprJ, and Pseudomonas spp carried either plasmid-borne (n=19) or chromosome-borne (n=21) ones. tmexCD-toprJ had undergone clonal and horizontal transmission among clinical pathogens. Eight different types of genetic context of tmexCD-toprJ were identified, each of which was associated with different mobile elements, including IntI, IS6100, TnAs1-like, ISRor5, ISVsa3, ISCfr-like, Tn5393, and IS222-like, which might facilitate its transmission. Knockdown of tmexD led to a four times decrease in tigecycline minimum inhibitory concentrations in both Pseudomonas spp and Proteus spp. Our study provides evidence to suggest that tmexCD-toprJ contributes to the antimicrobial resistance phenotypes in different bacterial species. tmexCD-toprJ has disseminated among diverse species of clinical pathogens, which warrants timely monitoring in clinical pathogens. National Natural Science Foundation of China, Guangdong Major Project of Basic and Applied Basic Research, Natural Science Foundation of Jiangsu Province.

DEIKSIS DALAM TEKS ANEKDOT KORAN KOMPAS EDISI APRIL SAMPAI JULI 2019

This research is motivated by the widespread appearance of anecdotal texts in the mass media, one of which is newspapers. This anecdote appears for various purposes and purposes. In order to understand the intent and purpose, the reader must be able to understand the meaning contained in the anecdote text. This research focused on anecdotal texts in the Kompas Newspaper in April to July 2019 editions. The problem in this research is questioning the types of deixis contained in anecdotal texts in the Kompas newspaper in April to July 2019 editions. Data collection techniques are online data retrieval techniques analyzed through a qualitative descriptive method. The study showed that the types of deixis contained in anecdotal texts in the April to July 2019 editions of Kompas Newspaper are covered; deixis of persona that consisted of the first persona deixis in the form of “I”, “I”, “we” and “we”, the second persona in the form of “you”, “you”, “you”, and “your bound form”, and the third persona of “he” and “they”. Deixis of space or place appears in the form of “this” and “here”, and the deixis of time is appeared in the form of “now”, “tomorrow”, and “then”.

Historical study of peat protection policy to prevent forest and land fires in Indonesia (1990-2020)

This study aims to analyze Indonesia’s peat ecosystem protection policy in handling forest and land fires (karhutla). The qualitative research method employs a historical approach relating to the policies of the Republic of Indonesia’s government, including general policies and implementation policies. The limitation of the research is for three decades, namely 1990-2020. The primary data was collected through interviews, and the secondary data was collected through library research techniques and online data retrieval. The study’s findings show that, although forest and land fires have been occurring for a long time, specific protection regulations only began in the early 1990s. Following that, there was a shift in policy orientation from utilization to sustainable development. Indicators of achievement of policy implementation are seen through the area of burned land and the number of fire hotspots. It decreased in the last half-decade or post-karhutla in 2015 after going through policy corrections and actions, which changed the working paradigm of forest and land fire control from extinguishing prevention.

Rural and racial disparities in colorectal cancer incidence and mortality in South Carolina, 1996 - 2016.

Colorectal cancer (CRC) is the third leading cause of cancer mortality among men and women in the United States and South Carolina (SC). Since SC has one of the highest proportions of Black (27.9%) and rural residents (33.7%), the purpose of this investigation was to describe the burden of CRC on racial disparities in rural populations. Count data from 2012 to 2016 were obtained from the state central cancer registry using an online data retrieval system. Rural-urban status was determined using Urban Influence Codes (1-2 = urban; 3-12 = rural). Chi-square tests were calculated to examine differences in CRC stage by rurality and race. Annual percent change and annual average percent change (AAPC) were calculated to examine trends in incidence and mortality rates across rural-urban and racial groups between 1996 and 2016. Areas with high mortality-to-incidence ratios tended to be in rural counties. Furthermore, rural residents had higher proportions of distant stage CRC compared to urban residents, and Black populations had higher proportions of distant stage CRC compared to White populations (22.7% vs. 26.3% and 29.3% vs. 23.7%, respectively; P value < 0.05). From 1996 to 2016, Black and White urban-dwelling residents experienced a significant decline in incidence. Urban White, urban Black, and rural White populations experienced significant declines in mortality (AAPC = -2.6% vs -2.4% vs -1.6% vs -0.9%, respectively). Despite improvements in CRC screening in recent decades, focused evidenced-based interventions for lowering incidence and mortality among rural and Black populations in South Carolina are necessary.

Efficient algorithm for online data retrieval with one antenna in wireless networks

Given a set of requested data items and a set of multiple channels, data retrieval problem is to find a data retrieval sequence for downloading all requested data items from these channels in a reasonable time range. Almost all existing schemes are applied in offline environment that the client can learn prior knowledge of wireless data broadcast, such as the set of broadcast channels and the broadcast time of data items. However, this information is unknown in online data retrieval. So this paper proposes three online algorithms (MRLR, RM and MRM) for solving online data retrieval problem. Compared with the optimal offline data retrieval algorithm, MRLR, RM and MRM algorithms hold (k ‒ 1), (log(k ‒ 1) + k/2 ) and k/2 competitive rate respectively. Through comparison with the competitive rates and experimental results of proposed online algorithms, we observe that the performance of online data retrieval is improved in wireless networks.

Efficient algorithm for online data retrieval with one antenna in wireless networks

Efficient algorithm for online data retrieval with one antenna in wireless networks

Peranan World Food Programme (WFP) Melalui Program Food For Assets (FFA) Dalam Upaya Mengurangi Potensi Rawan Pangan Di Indonesia

This study was to determine the role of the World Food Programme (WFP) through the Food For Assets (FFA) in an effort to reduce the potential for food insecurity in West Nusa Tenggara 2008-2010. Researchers analyzed the various efforts made by WFP through the FFA in its efforts to reduce the potential for food insecurity in the region is categorized as having food insecurity in West Nusa Tenggara. Author of the research methods used in this study is qualitative method, aims to describe the facts relating to the problem under study. Most of the data collected through library research, online data retrieval, documentation, and interviews. The data was then analyzed with the theories and concepts in International Relations, among others, The Role of International Organizations, and Non-Traditional Security Issues. The results showed that the WFP has done its role as an international organization that focuses on food issues. WFP is providing food assistance to areas experiencing food insecurity in Indonesia, one of which is the West Nusa Tenggara. Such assistance is implemented in the form of FFA programs and activities to support efforts to reduce the potential for food insecurity in West Nusa Tenggara.

PERANAN WORLD WIDE FUND FOR NATURE (WWF) DALAM UPAYA KONSERVASI POPULASI BADAK JAWA DI INDONESIA

This study is to examine the role of the World Wide Fund for Nature (WWF) in the Javan rhino population conservation efforts in Indonesia. Endangered Javan rhino population makes the WWF as an environmental organization that also address the issue of endangered species, participating in efforts to conserve this species. Researchers analyzed the various efforts made by the WWF conservation of Javan rhino populations in Indonesia so that the species can survive in their habitat. The research method used in this study is the author of qualitative methods, aims to describe the facts relating to the problem under study. Most of the data collected through library research, online data retrieval, documentation, interviews and observations. The data was then analyzed with theoretical approaches associated with theories of International Relations such as the International Organizations Role Theory, and International Cooperation. The results showed that the WWF has done his role as international organizations in dealing with the extinction of the Javan Rhino. Javan rhino population conservation programs that have been carried out by WWF in Indonesia has resulted in an increase in member javan rhino population. Thus, an important role in the conservation of WWF Indonesia's Javan rhino population.

PERANAN PARTNERSHIPS IN THE ENVIRONMENTAL MANAGEMENT FOR SEAS OF EAST ASIA (PEMSEA) MELALUI PROGRAM INTEGRATED COASTAL MANAGEMENT (ICM) DALAM PENGENDALIAN KERUSAKAN EKOSISTEM TERUMBU KARANG DI INDONESIA

This study aims to determine the role of the Partnerships in Environmental Management for the Seas of East Asia (PEMSEA) through Integrated Coastal Management Program (ICM) for Controlling the Damages of the Coral Reefs Ecosystem in Palabuhanratu, Sukabumi Regency, West Java. Researcher attempted to analyze the purpose of doing damage control program in coral reef ecosystems that occur in coastal areas Palabuhanratu, Sukabumi Regency, West Java. Author of the research methods used in this study is descriptive analysis method. Most of the datas have been gathered through library research, online data retrieval, documentation, interviews and observation. The results showed that the implementation of ICM in Palabuhanratu, Sukabumi, West Java has involved many sectors related to the management of the Marine and Coastal regions in Palabuhanratu Sukabumi, West Java, with the implementation of several development projects in the coastal region of Palbuhanratu since 2003. But technically still have not made a direct attempt to address the damage to the coral reefs that occur in Palabuhanratu because of the constraints faced. Efforts made in the control of coral reef damage is in the form of outreach to the local community Palabuhanratu coast of Kenya, West Java since 2004.

UPAYA PEMERINTAH TURKI UNTUK BERGABUNG DENGAN UNI EROPA

The European Union is an inter-governmental organization whose members are European countries. Since July 1, 2013 already has 28 member countries, many countries of the European region who want to join the European Union, one of which is Turkish, the extent to which the Turkish government's efforts to join the European Union? This study aims to determine the extent of the Turkish Government Efforts To Join The European Union (2004-2008). To be able to Turkey joining the European Union must meet the Copenhagen criteria which consists of the political criteria, economic and acquis, Turkey must conform to all the regulations of the European Union so researchers try to analyze from the effort, constraints, and prospects for Turkey to join the European Union. This type of research is a qualitative research method used is descriptive analysis techniques. aims to describe the facts related to the problem under study. Most of the data that is collected through library research, online data retrieval, and documentation, data were then analyzed with a theoretical approach to dealing with International Relations. The results showed that the Turkish government has made progress in meeting the criteria candidates are awarded by the European Union, Turkey showed promising economic growth, recorded during the year 2004-2008 Turkish economic growth averaged 7%. Turkey managed to adopt new chapters in the Acquis criteria, although there are many other chapters that have not adapted to the European Union, in the political aspects of the Turkish government has been working hard to solve the problem of ham with the Kurds, Armenia and Cyprus, but in line with the efforts that have been The Turkish government in its application, there are still many obstacles that eventually make Turkey's accession to EU membership back hampered..

VMI Based Purchasing System For Lead-Time Reduction In A Make To Order Electronics Industry

In any supply chain material and cash flows in opposite directions but information flows in both direction. The major problem which will affect the supply chain is the lack of visibility of actual demand. The vendor managed inventory is a supply chain initiative where the supplier is in charge of maintaining the customer’s inventory levels using advanced communication means such as online messaging and data retrieval system. Thus, several working moments for the customer are being removed and are now under the responsibility of the supplier. When using EDI the purchasing system of the customer is integrated with the order system at the supplier. This paper investigated the traditional purchasing system of electronics industry and the customer purchasing lead time, which is the major problem associated with it. This study proposed a new system by combining the VMI principles to cope up with the limitations of traditional system. The proposed system aims to reduce the reduction of purchasing lead time as it ensures proper sharing of information through Electronic Data Interchange (EDI) into proposed VMI system.

Leveraging linked open data information extraction for data mining applications

The linked open data cloud, with a huge volume of data from heterogeneous and interlinked datasets, has turned the Web into a large data store. It has attracted the attention of both developers and researchers in the last few years, opening up new dimensions in machine learning and knowledge discovery. Information extraction procedures for these processes use different approaches, e.g., template-based, federated to multiple sources, fixed depth link traversal, etc. They are limited by problems in online access to datasets' SPARQL endpoints, such as servers being down for maintenance, bandwidth narrowing, limited numbers of access points to datasets in particular time slots, etc., which may result in imprecise and incomplete sets of feature vector generation, affecting the quality of knowledge discovered. The work presented here addresses the disadvantages of online data retrieval by proposing a simple and automatic way to extract features from the linked open data cloud using a linked traversal approach in a local environment with previously identified and known sets of interlinked RDF datasets. The user is given the flexibility to determine the depth of the neighboring properties to be traversed for information extraction to generate the feature vector, which can be used for machine learning and knowledge discovery. The experiment is performed locally with Virtuoso Triple Store for storage of datasets and an interface developed to build the feature vector. The evaluation is performed by comparing the obtained feature vector with gold standard instances annotated manually and with a case study for estimating the effects of demography in movie production for a country. The advantage of the proposed approach lies in overcoming problems with online access of data from the linked data cloud, RDF dataset integration in both local and web environments to build feature vectors for machine learning, and generating background knowledge from the linked data cloud.

Design and implementation of on-line data submission and retrieval system for coordinated research trials in food legumes

Online data submission and retrieval system for coordinated research trials in food legumes has been developed with an aim to reduce the time and cost in collection, compilation, data analysis, retrieval and report generation. At the first instance, efforts were made to use plant breeding data as it covers more than 60% of total trials. The system has been developed using ASP.NET with C# as the front-end and SQL Server 2005 as back-end. This system has three online functional modules viz., Data Entry and Submission Module, Data Analysis Module and Report Generation Module. The system is designed to be user-friendly and is completely menu-driven with options for assigning login IDs and passwords. It can be accessed efficiently through URL: http://www.aicrpmullarp.res.in. The complete system has been presented, tested and validated during different Group Meets of AICRP on MULLaRP. The implemented system being satisfactorily used by the centres of AICRP on MULLaRP since last one year and has significantly reduced the manpower and processing time required for compilation, data analysis and preparation of annual report. The present article describes the design and implementation of on-line data submission and retrieval system for coordinated research trials in food legumes.

IPAT: a freely accessible software tool for analyzing multiple patent documents with inbuilt landscape visualizer.

Intelligent Patent Analysis Tool (IPAT) is an online data retrieval tool, operated based on text mining algorithm to extract specific patent information in a predetermined pattern into an Excel sheet. The software is designed and developed to retrieve and analyze technology information from multiple patent documents and generate various patent landscape graphs and charts. The software is C# coded in visual studio 2010, which extracts the publicly available patent information from the web pages like Google Patent and simultaneously study the various technology trends based on user-defined parameters. In other words, IPAT combined with the manual categorization will act as an excellent technology assessment tool in competitive intelligence and due diligence for predicting the future R&D forecast.

On-line Data Retrieval Algorithm with Restart Strategy in Wireless Networks

Data retrieval is an efficient scheme for data dissemination in mobile computing, and its primary goal is to improve the waiting time and save the energy of mobile devices. Existing data retrieval algorithms are developed at the basis of a-priori knowledge of wireless data broadcast. In practical, they are not suitable for on-line data retrieval where the knowledge is not known. In this paper, we study on-line data retrieval problem with Las Vegas strategy of randomized algorithm, called as LVDR, and reduce the competitive rate of this problem, , where is the number of channels and is the length of broadcast cycle. Thus, we observe that different schemes of choosing channel will generate the different efficiencies in randomized algorithm. Therefore, we propose another scheme introduced restart strategy to execute the other retrieval sequences of choosing channels when the client may not retrieve the requested data item in certain time, called as LVDR-RS. In addition, we adopt Markov chain to predict the optimal restart cycle for each requested data item. Through analysis, we obverse that the competitive rate is closely related with the number of restarts and restart cycle

Online Data Processing Methods in Xlet Applications for Seismic Early Warning and Emergency Services on Interactive Digital Television

In this paper, I described the methods that I used for the creation of Xlets, which are Java applets that are developed for the IDTV environment; and the methods for online data retrieval and processing that I utilized in these Xlets. The themes that I chose for the Xlets of the IDTV applications are Earthquake and Tsunami Early Warning; Recent Seismic Activity Report; and Emergency Services. The online data regarding the Recent Seismic Activity Report application are provided by the Kandilli Observatory and Earthquake Research Institute (KOERI) of Bogazici University in Istanbul; while the online data for the Earthquake and Tsunami Early Warning and the Emergency Services applications are provided by the Godoro website which I used for storing (and retrieving by the Xlets) the earthquake and tsunami early warning simulation data, and the DVB network subscriber data (such as name and address information) for utilizing in the Emergency Services (Police, Ambulance and Fire Department) application. I have focused on the methodologies to use digital television as an efficient medium to convey timely and useful information regarding seismic warning data to the public, which forms the main research topic of this paper.

Childbirth Education, the Internet, and Reality Television: Challenges Ahead

Childbirth Education, the Internet, and Reality Television: Challenges Ahead

Internet Use in Pregnancy Informs Women’s Decision Making: A Web‐Based Survey

Internet access and usage is almost ubiquitous, providing new opportunities and increasing challenges for health care practitioners and users. With pregnant women reportedly turning to the Internet for information during pregnancy, a better understanding of this behavior is needed. The objective of this study was to ascertain why and how pregnant women use the Internet as a health information source, and the overall effect it had on their decision making. Kuhlthau's (1993) information-seeking model was adapted to provide the underpinning theoretical framework for the study. The design was exploratory and descriptive. Data were collected using a valid and reliable web-based questionnaire. Over a 12-week period, 613 women from 24 countries who had confirmed that they had used the Internet for pregnancy-related information during their pregnancy completed and submitted a questionnaire. Most women (97%) used search engines such as Google to identify online web pages to access a large variety of pregnancy-related information and to use the Internet for pregnancy-related social networking, support, and electronic commerce (i.e., e-commerce). Almost 94 percent of women used the Internet to supplement information already provided by health professionals and 83 percent used it to influence their pregnancy decision making. Nearly half of the respondents reported dissatisfaction with information given by health professionals (48.6%) and lack of time to ask health professionals questions (46.5%) as key factors influencing them to access the Internet. Statistically, women's confidence levels significantly increased with respect to making decisions about their pregnancy after Internet usage (p < 0.05). In this study, the Internet played a significant part in the respondents' health information seeking and decision making in pregnancy. Health professionals need to be ready to support pregnant women in online data retrieval, interpretation, and application.