• Title/Summary/Keyword: Similarity & Difference

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Assessment of performance of machine learning based similarities calculated for different English translations of Holy Quran

  • Al Ghamdi, Norah Mohammad;Khan, Muhammad Badruddin
    • International Journal of Computer Science & Network Security
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    • v.22 no.4
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    • pp.111-118
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    • 2022
  • This research article presents the work that is related to the application of different machine learning based similarity techniques on religious text for identifying similarities and differences among its various translations. The dataset includes 10 different English translations of verses (Arabic: Ayah) of two Surahs (chapters) namely, Al-Humazah and An-Nasr. The quantitative similarity values for different translations for the same verse were calculated by using the cosine similarity and semantic similarity. The corpus went through two series of experiments: before pre-processing and after pre-processing. In order to determine the performance of machine learning based similarities, human annotated similarities between translations of two Surahs (chapters) namely Al-Humazah and An-Nasr were recorded to construct the ground truth. The average difference between the human annotated similarity and the cosine similarity for Surah (chapter) Al-Humazah was found to be 1.38 per verse (ayah) per pair of translation. After pre-processing, the average difference increased to 2.24. Moreover, the average difference between human annotated similarity and semantic similarity for Surah (chapter) Al-Humazah was found to be 0.09 per verse (Ayah) per pair of translation. After pre-processing, it increased to 0.78. For the Surah (chapter) An-Nasr, before preprocessing, the average difference between human annotated similarity and cosine similarity was found to be 1.93 per verse (Ayah), per pair of translation. And. After pre-processing, the average difference further increased to 2.47. The average difference between the human annotated similarity and the semantic similarity for Surah An-Nasr before preprocessing was found to be 0.93 and after pre-processing, it was reduced to 0.87 per verse (ayah) per pair of translation. The results showed that as expected, the semantic similarity was proven to be better measurement indicator for calculation of the word meaning.

An Effect of Similarity Judgement on Human Performance in Inspection Tasks (유사성(類似性) 판단(判斷)과 검사수행도(檢査遂行度)에 관한 연구)

  • Son, Il-Mun;Lee, Dong-Chun;Lee, Sang-Do
    • Journal of Korean Society for Quality Management
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    • v.20 no.2
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    • pp.109-117
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    • 1992
  • An inspection task largely can be seen as a job divided up into a series of visual search and classification subtasks. In these subtasks, an Inspector must performs to compare the standard references proposed in visual environments and recalled in his memory with the visual stimuli to be inspected. It means that the judgement of similarity should be demanded on inspection tasks. Therefore, the inspector's ability for the judgement of similarity and the difference similarity between inspection materials are important factors to effect on performances in inspection tasks. In this paper, to analysis the effect of these factors on inspection time, an inspection task is designed and suggested by means of computer simulator. Especially, the skin conductance responses(SCR) of subjects are measured to evaluate the complexity of tasks due to the difference of similarity between materials. In the results of experiment, the more similar or different the difference of similarity between materials is, the shorter the inspection time is because of the reduction of task complexity. And, When the inspector's cognition for similarity between materials is consistanct, the inpsection time is improved. Concludingly, the consistency of reponses for similarity judgement becomes a measurement to present the performance levels. And the information of inspection time that due to the difference of similarity between materials must be considered in planning and scheduling inspection tasks.

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The evaluation of fabric on the Internet -The difference of cotton fabric texture perceived between on-line and off-line- (인터넷에서의 소재 평가에 대한 연구 -실물과 영상에서의 면직물 유사성 평가-)

  • 신혜원;이정순
    • Journal of the Korean Society of Clothing and Textiles
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    • v.28 no.3_4
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    • pp.396-402
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    • 2004
  • The purpose of this study was to investigate the difference of cotton fabric texture perceived between on-line(screening fabric) and off-line(real fabric), and to analyze fabric characteristics having an effect on the difference. The similarity of 55 various cotton fabrics perceived between on-line and on-line were measured showing simultaneously real fabrics and screening fabrics by 7-scale questionnaire. And the characteristics of cotton fabrics such as weave structure, thickness, weight, fabric density, stiffness, Hunter's L, a, b, and hue were measured. Cotton fabrics were classified into 3 groups by extent of similarity. There were no significant differences in weft density, stiffness, Hunter's L, a, b, and hue among 3 groups. But there were significant differences in weave structure, thickness, weight, warp density, and difference of warp & weft density. The fabrics having large similarity were thick and heavy, had small warp density and difference of warp & weft density, and distinct surface texture. The group having medium similarity included fabrics of medium thickness and weight, having weak surface texture, large warp density and difference of warp & weft density. The group having small similarity, which the differences between on-line and off-line were large, included thin and light fabrics having smooth surface and large warp density and difference of warp & weft density.

Influence of Product Similarity between Parent Brand and Extended Brand on Extended Product Evaluation - Focus on Franchise Brand - (모브랜드 제품-확장브랜드 제품간 유사성이 확장제품평가에 미치는 영향 - 프랜차이즈 브랜드를 중심으로 -)

  • Kim, Ki-Suk;Shin, Bong-Sup
    • The Journal of the Korea Contents Association
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    • v.11 no.11
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    • pp.378-389
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    • 2011
  • This study scrutinizes the similarity difference between parent brand product and extended brand product of franchise business and its effect on the attitude toward extended brand product. Results showed that the similarity difference is appeared according to product extended. The cognitive attitude and the behavioral attitude toward similarity difference are also appeared to be different as high in product similarity leads to high in both cognitive and behavioral attitude. The result also showed that the food similarity compare to the technological similarity has higher impact on attitude. These study results provided a significant insights in brand extension strategy of franchise business.

LYAPUNOV FUNCTIONS FOR NONLINEAR DIFFERENCE EQUATIONS

  • Choi, Sung Kyu;Cui, Yinhua;Koo, Namjip
    • Journal of the Chungcheong Mathematical Society
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    • v.24 no.4
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    • pp.883-893
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    • 2011
  • In this paper we study h-stability of the solutions of nonlinear difference system via the notion of $n_{\infty}$-summable similarity between its variational systems. Also, we show that two concepts of h-stability and h-stability in variation for nonlinear difference systems are equivalent. Furthermore, we characterize h-stability for nonlinear difference systems by using Lyapunov functions.

Performance Analysis of Similarity Reflecting Jaccard Index for Solving Data Sparsity in Collaborative Filtering (협력필터링의 데이터 희소성 해결을 위한 자카드 지수 반영의 유사도 성능 분석)

  • Lee, Soojung
    • The Journal of Korean Association of Computer Education
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    • v.19 no.4
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    • pp.59-66
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    • 2016
  • It has been studied to reflect the number of co-rated items for solving data sparsity problem in collaborative filtering systems. A well-known method of Jaccard index allowed performance improvement, when combined with previous similarity measures. However, the degree of performance improvement when combined with existing similarity measures in various data environments are seldom analyzed, which is the objective of this study. Jaccard index as a sole similarity measure yielded much higher prediction quality than traditional measures and very high recommendation quality in a sparse dataset. In general, previous similarity measures combined with Jaccard index improved performance regardless of dataset characteristics. Especially, cosine similarity achieved the highest improvement in sparse datasets, while similarity of Mean Squared Difference degraded prediction quality in denser sets. Therefore, one needs to consider characteristics of data environment and similarity measures before combining Jaccard index for similarity use.

Entropy-based Similarity Measures for Memory-based Collaborative Filtering

  • Kwon, Hyeong-Joon;Latchman, Haniph
    • International Journal of Internet, Broadcasting and Communication
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    • v.5 no.2
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    • pp.5-10
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    • 2013
  • We proposed a novel similarity measure using weighted difference entropy (WDE) to improve the performance of the CF system. The proposed similarity metric evaluates the entropy with a preference score difference between the common rated items of two users, and normalizes it based on the Gaussian, tanh and sigmoid function. We showed significant improvement of experimental results and environments. These experiments involved changing the number of nearest neighborhoods, and we presented experimental results for two data sets with different characteristics, and results for the quality of recommendation.

Viewpoint Unconstrained Face Recognition Based on Affine Local Descriptors and Probabilistic Similarity

  • Gao, Yongbin;Lee, Hyo Jong
    • Journal of Information Processing Systems
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    • v.11 no.4
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    • pp.643-654
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    • 2015
  • Face recognition under controlled settings, such as limited viewpoint and illumination change, can achieve good performance nowadays. However, real world application for face recognition is still challenging. In this paper, we propose using the combination of Affine Scale Invariant Feature Transform (SIFT) and Probabilistic Similarity for face recognition under a large viewpoint change. Affine SIFT is an extension of SIFT algorithm to detect affine invariant local descriptors. Affine SIFT generates a series of different viewpoints using affine transformation. In this way, it allows for a viewpoint difference between the gallery face and probe face. However, the human face is not planar as it contains significant 3D depth. Affine SIFT does not work well for significant change in pose. To complement this, we combined it with probabilistic similarity, which gets the log likelihood between the probe and gallery face based on sum of squared difference (SSD) distribution in an offline learning process. Our experiment results show that our framework achieves impressive better recognition accuracy than other algorithms compared on the FERET database.

A Myological Study of Hand Great Yin Lung Meridian Muscle System and Comparison with Deep Front Line in Anatomical Train (수태음폐경근의 근육학적 고찰 및 심부상지전방선과의 비교)

  • Kim, Myungkwan;Kim, Kyungmin;Jeon, Juhyun
    • Journal of Haehwa Medicine
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    • v.24 no.2
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    • pp.17-24
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    • 2016
  • Objectives : This study was aimed to widen range of comprehesion about meridian muscle system through myological study of meridian muscle system and comparison with deep front arm line in anatomical train Methods : We have studied the similarity and difference between Hand Great Yin Lung Meridian Muscle System and Deep Front Line in Anatomical Train through Principles of Meridians & Acupoints, publications about myology, Anatomical trains. Results : I. Like another advanced studies, muscular system of hand great yin showed similarity to deep front line in anatomical train. II. It is considered that muscular system of hand great yin contains Musculus abductor pollicis brevis, Musculus extensor hallucis longus, Musculus brachioradialis, Musculus biceps brachii, Musculus subclavius, Musculus pectoralis major. III. Comparing muscular system of hand great yin to deep front arm line in anatomical train it showed similarity to part of muscles and pathological symptoms. But it showed difference to part of muscles and pathological symptoms. Conclusions : Hand Great Yin Lung meridian muscle system showed similarity and difference to deep front arm line in anatomical train. Further studies would be needed.