scholarly journals Severity of amnesia and the effectiveness of reactivation treatment: Evidence for a retrieval process

1979 ◽  
Vol 7 (1) ◽  
pp. 59-63 ◽  
Author(s):  
David C. Riccio ◽  
Charles F. Mactutus ◽  
Charles F. Hinderliter ◽  
Kevan McCutcheon
Keyword(s):  
Retrieval Process ◽  
Reactivation Treatment

EVALUASI ANR PADA TRANSMISI DATA NETWORK TERHADAP WP-REST API DALAM APLIKASI ANDROID

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Agung Riyadi
Keyword(s):  
Large Data ◽  
Data Retrieval ◽  
Test Results ◽  
Android Application ◽  
Retrieval Process ◽  
Request Queue ◽  
Plant Data ◽  
Android Development ◽  
Rest Api ◽  
The One

The One of many way to connect to the database through the android application is using volleyball and RESTAPI. By using RestAPI, the android application does not directly connect to the database but there is an intermediary in the form of an API. In android development, Android-volley has the disadvantage of making requests from large and large data, so an evaluation is needed to test the capabilities of the Android volley. This research was conducted to test android-volley to retrieve data through RESTAPI presented in the form of an application to retrieve medicinal plant data. From the test results can be used by volley an error occurs when the back button is pressed, in this case another process is carried out if the previous volley has not been loaded. This error occurred on several android versions such as lollipops and marshmallows also on some brands of devices. So that in using android-volley developer need to check the request queue process that is carried out by the user, if the data retrieval process by volley has not been completed, it is necessary to stop the process to download data using volley so that there is no Android Not Responding (ANR) error.Keywords: Android, Volley, WP REST API, ANR Error

FROM ADAPTATION-GUIDED RETRIEVAL TO REUSE-GUIDED RETRIEVAL: APPLICATION TO CASE RETRIEVAL NET MEMORY MODEL

2013 ◽  
Vol 12 (04) ◽  
pp. 757-787 ◽  
Author(s):  
NABILA NOUAOURIA ◽  
MOUNIR BOUKADOUM
Keyword(s):  
General Framework ◽  
Retrieval System ◽  
Similar Case ◽  
Memory Model ◽  
Case Based Reasoning ◽  
Retrieval Process ◽  
Case Retrieval ◽  
Full Cost ◽  
Adaptation Cost ◽  
Process Adaptation

In Case-Based Reasoning (CBR), case retrieval is generally guided by similarity. However, the most similar case may not be the easiest one to reuse (hard to adapt). As recommended by Smyth and Keane, it might be more efficient to use an adaptability criterion to guide the retrieval process (adaptation-guided retrieval or AGR). In the same trend but with the goal of optimizing case reuse, our approach is to consider what is similar to copy and what is different to adapt during the retrieval stage. We introduce a more general framework for retrieval, namely the reuse-guided retrieval (RGR). The goal of this paper is twofold: first, it proposes a case retrieval approach that relies on reuse cost; then, it illustrates its use by integrating adaptation cost into the case retrieval net (CRN) memory model, a similarity-based case retrieval system. The described retrieval framework optimizes case reuse early in the inference cycle, without incurring the full cost of an adaptation step. Our results on two case studies reveal that the proposed approach yields better recall quality than CRN's similarity only-based retrieval while having similar computational complexity.

scholarly journals The inter-comparison of major satellite aerosol retrieval algorithms using simulated intensity and polarization characteristics of reflected light

2010 ◽  
Vol 3 (4) ◽  
pp. 909-932 ◽  
Author(s):  
A. A. Kokhanovsky ◽  
J. L. Deuzé ◽  
D. J. Diner ◽  
O. Dubovik ◽  
F. Ducos ◽  
...  
Keyword(s):  
A Priori ◽  
Light Polarization ◽  
Radiative Transfer Model ◽  
Transfer Model ◽  
Retrieval Process ◽  
Retrieval Task ◽  
Major Satellite ◽  
Single View ◽  
Intensity Measurements ◽  
Priori Information

Abstract. Remote sensing of aerosol from space is a challenging and typically underdetermined retrieval task, requiring many assumptions to be made with respect to the aerosol and surface models. Therefore, the quality of a priori information plays a central role in any retrieval process (apart from the cloud screening procedure and the forward radiative transfer model, which to be most accurate should include the treatment of light polarization and molecular-aerosol coupling). In this paper the performance of various algorithms with respect to the of spectral aerosol optical thickness determination from optical spaceborne measurements is studied. The algorithms are based on various types of measurements (spectral, angular, polarization, or some combination of these). It is confirmed that multiangular spectropolarimetric measurements provide more powerful constraints compared to spectral intensity measurements alone, particularly those acquired at a single view angle and which rely on a priori assumptions regarding the particle phase function in the retrieval process.

Learning Chinese political formulaic phraseology from a self-built bilingual united nations security council corpus

Babel ◽  
2021 ◽  
Author(s):  
Baimei Wu ◽  
Andrew K.F. Cheung ◽  
Jie Xing
Keyword(s):  
Pilot Study ◽  
Literature Review ◽  
United Nations ◽  
Security Council ◽  
Political Discourse ◽  
United Nations Security Council ◽  
Retrieval Process ◽  
Methodological Issues ◽  
Parallel Corpus ◽  
Simultaneous Interpreting

Abstract This pilot study investigates the formulaic phraseology most frequently used in highly formulaic political documents by examining a self-built bilingual parallel corpus of 43 speeches delivered in United Nations Security Council (UNSC) meetings by Chinese representatives. The study also probes corpus-based approaches to explore formulaic phraseology and demonstrates a method to retrieve Chinese formulaic phraseology from the UNSC corpus. Formulaic phraseology is often seen in political discourse. It can be defined as a sequence, continuous or discontinuous, of words or other meaning elements that are, or appear to be, prefabricated, stored and retrieved whole from memory at the time of use rather than being subject to generation or analysis by the language grammar. This study begins with a literature review of formulaic phraseology, including its features and significance in simultaneous interpreting. It then exhibits a four-step retrieval process with the Sketch Engine software program to acquire Chinese formulaic phraseology from the corpus to fill previous studies’ gap. Key functional units of the Sketch Engine, including Wordlist, N-grams, and Concordance, are used to extract formulaic phraseology from the UNSC corpus. Methodological issues involved in identifying formulaic phraseology, such as length of phraseology and quantitative criteria (frequency and dispersion thresholds), are also discussed in the study. Three types of formulaic phraseology are identified: (1) greeting representatives and other members and expressing appreciation; (2) expressing concerns about the topic of the meeting; (3) expressing China’s viewpoints about the topic of the meeting. The training of interpreters would be more effective if this categorization of formulaic phraseology is incorporated into the curriculum.

A Case Based Reasoning System For Recommendation Of Restaurant In Jimbaran Using K-Nearest Neighbor

2020 ◽  
Vol 9 (2) ◽  
pp. 267
Author(s):  
I Gede Teguh Mahardika ◽  
I Wayan Supriana
Keyword(s):  
Recommendation System ◽  
Nearest Neighbor ◽  
Case Based Reasoning ◽  
Retrieval Process ◽  
K Nearest Neighbor ◽  
Reasoning System ◽  
Human Ability ◽  
And Function ◽  
Case Based ◽  
Selection Of

Culinary is one of the favorite businesses today. The number of considerations to choose a restaurant or place to visit becomes one of the factors that is difficult to determine the restaurant or place to eat. To get the desired place to eat advice, one needs a recommendation system. Decisions made by the recommendation system can be used as a reference to determine the choice of restaurants. One method that can be used to build a recommendation system is Case Based Reasoning. The Case Based Reasoning (CBR) method mimics human ability to solve a problem or cases. The retrieval process is the most important stage, because at this stage the search for a solution for a new case is carried out. The study used the K-Nearest Neighbor method to find closeness between new cases and case bases. With the selection of features used as domains in the system, the results of recommendations presented can be more suggestive and accurate. The system successfully provides complex recommendations based on the type and type of food entered by the user. Based on blackbox testing, the system has features that can be used and function properly according to the purpose of creating the system.

scholarly journals Effects of Memory Retrieval Process on Driver's Reproduction Performance

2002 ◽  
Vol 19 ◽  
pp. 733-738
Author(s):  
K. NAKAGAWA ◽  
T. HAGIWARA ◽  
K. UCHIDA ◽  
T. ADACHI ◽  
S. KAGAYA
Keyword(s):  
Memory Retrieval ◽  
Retrieval Process ◽  
Reproduction Performance

Adapting Life-Review Therapy for Elderly Female Survivors of Childhood Sexual Abuse

1996 ◽  
Vol 77 (3) ◽  
pp. 166-173 ◽  
Author(s):  
Kathleen McInnis-Dittrich
Keyword(s):  
Sexual Abuse ◽  
Childhood Sexual Abuse ◽  
Older Women ◽  
Memory Retrieval ◽  
Defense Mechanisms ◽  
Life Review ◽  
Retrieval Process ◽  
Female Survivors ◽  
Life Review Therapy ◽  
Rural Appalachia

The author describes the use of life-review therapy in the resolution of childhood sexual abuse with older women through four case illustrations of older women in rural Appalachia. Therapists must take great care to preserve functional defense mechanisms for the survivor, utilize nonverbal techniques to process intense feelings and assist in the memory retrieval process, and incorporate creative techniques to address family-of-origin issues. The author discusses the importance of choice in empowering clients, even when clients reject treatment as an expression of empowerment.

scholarly journals Category cued recall evokes a generate-recognize retrieval process.

2016 ◽  
Vol 42 (3) ◽  
pp. 339-350
Author(s):  
R. Reed Hunt ◽  
Rebekah E. Smith ◽  
Jeffrey P. Toth
Keyword(s):  
Cued Recall ◽  
Retrieval Process

scholarly journals Image Retrieval Using Data Mining Technique

2020 ◽  
pp. 2115-2125
Author(s):  
Sarmad T. Abdul-Samad ◽  
Sawsan Kamal
Keyword(s):  
Image Retrieval ◽  
User Satisfaction ◽  
Clustering Algorithm ◽  
Retrieval System ◽  
Spatial Information ◽  
Search Space ◽  
Extraction Process ◽  
Retrieval Process ◽  
Data Mining Technique ◽  
Image Retrieval System

Even though image retrieval is considered as one of the most important research areas in the last two decades, there is still room for improvement since it is still not satisfying for many users. Two of the major problems which need to be improved are the accuracy and the speed of the image retrieval system, in order to achieve user satisfaction and also to make the image retrieval system suitable for all platforms. In this work, the proposed retrieval system uses features with spatial information to analyze the visual content of the image. Then, the feature extraction process is followed by applying the fuzzy c-means (FCM) clustering algorithm to reduce the search space and speed up the retrieval process. The experimental results show that using the spatial features increases the system accuracy and that the clustering algorithm speeds up the image retrieval process. This shows that the proposed system works with texture and non-texture images.  

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