Personalized Search Research Articles

Hardest and semi-hard negative pairs mining for text-based person search with visual–textual attention

Hardest and semi-hard negative pairs mining for text-based person search with visual–textual attention

Philosophy in mass education system: Teaching as a mimetic practice

Introduction. The article tackles the problem of changing the role and place of philosophy in the mass education system. Today, mass education is closely connected with pragmatisation and technologisation; and these two processes spawn a concern whether it is useful to study philosophy, and, as a consequence, an aspiration to transform the understanding of teaching itself.Aim. The aim of the present paper was to reconceptualise the bespoke teaching experience within the framework of personalised academic tracks launched in the University of Tyumen in an attempt to address the problem.Methodology and research methods. The theoretical part of the research lays out the foundation of philosophy teaching as a mimetic practice based on a methodology, which is developed through the following concepts: the dichotomy of E. Giddens’ practical and discursive consciousness, M. Polanyi’s tacit knowledge, E. Mach’s economy of thought, and C. Wulf’s mimesis. This was a starting point of a philosophy teaching practice that was tested on a batch of students, approximately a quarter of which agreed to take an anonymous survey about the process and the results of the joined work.Results and scientific novelty. A draft of a conceptual foundation of mass philosophy teaching in the current context is laid out. At the core of the process, there is a mimetic transfer of tacit knowledge, ensuring a skill to philosophise. This process presupposes an interaction of four actors: a teacher, a student, a text and a group of students. The lecture is a demonstration of a personal philosophic style, and the Socratic seminar is a joint practice with an unpredictable finale. In this practice, there is a system, where the teacher is an inquiring moderator launching the student’s personal search, the text provides a connection with a philosophic tradition, and the group – with the everyday life. The survey showed that this approach is effective: students like the process, they understand the connection of the philosophical ideas with the real life, and they track the level of their own understanding of philosophical texts.Practical significance. The research results may be useful for other philosophy teachers who on the basis of this study may adjust their teaching practices to a mass philosophy course delivered in the current conditions; and for further development of the theory, first and foremost, in terms of formulating the philosophical content being used.

Making person search enjoy the merits of person re-identification

Person search is an extended task of person re-identification (Re-ID). However, most existing one-step person search works do not study how to employ existing Re-ID models to improve the one-step person search. To address this issue, we propose a Teacher-guided Disentangling Network (TDN) to make the one-step person search enjoy the merits of existing Re-ID research. The proposed TDN can significantly boost person search performance by transferring the advanced person Re-ID knowledge to the person search model. In the proposed TDN, for better knowledge transfer from the Re-ID teacher model to the one-step person search model, we design a new one-step person search base framework by partially disentangling the two subtasks. Besides, we propose a Knowledge Transfer Bridge module to bridge the scale gap caused by different input formats between the Re-ID model and the one-step person search model. Moreover, we also propose a Ranking with Context Persons strategy to exploit the context information in panoramic images for better ranking. Experiments on two public person search datasets demonstrate the favorable performance of the proposed method.

Organization of crime investigation using modern technologies

The object of research of this scientific article is crimes committed on the Internet or using it, as well as the activities of law enforcement agencies to investigate and disclose them. The subject of the study is the regularities of the mechanism of crimes committed using the Internet and the regularities of the activities of law enforcement agencies to organize the investigation of those crimes. The purpose of the scientific article is to identify the capacities of digital technologies for the identification, search and identification of persons who have committed crimes on the Internet. At the same time, attention is paid to the creation of search records for "images of persons captured on photo and video files containing illegal content" in the Federal Criminal Information Bank and the use of advances in digital identification and other innovations in the field of IT technologies in the investigation of crimes. Modern processes of globalization and digitalization require the development and introduction of new opportunities in the identification, search and prosecution of persons who have committed illegal acts, including crimes, on the Internet or using it. The practical significance of the conducted research is to increase the effectiveness of the organization of the identification of persons who have committed crimes on the Internet. The methodology of the conducted research is determined by its purpose and objectives. It is based on a systematic approach to the study of the identification of the person who committed the crime using digital technologies. The research methodology used when writing a scientific article was implemented using the following methods: structural and substantive analysis of scientific papers devoted to the topic of this study; logical (when presenting all the material, formulating conclusions, suggestions and recommendations); comparative legal (when analyzing the norms of criminal procedure legislation, regulatory legal acts) and other research methods.

On the issue of Interpol's legal use of Article 3 of the Organization's Charter in the context of international search for persons and cooperation in combating crime

The subject of the research in the article is the issue of the prohibition of the activities of Interpol on the political, military, religious or racial nature of interference (persecution) of persons on the international wanted list or involved in global criminal activity, on the basis of Article 3 of the Statute of the International Criminal Police Organization (Interpol). In the context of the application of this article, the establishment of the boundaries of possible interference (prosecution) of these persons, according to the principles of international law. The author has carried out a comparative legal analysis of international legal acts regulating the provisions on restricting the actions of international bodies on the basis of political, military, religious and racial persecution.The main conclusions of this study are the establishment of the boundaries of possible persecution of persons who are on the international wanted list and involved in global crime and hiding from justice behind the wall of international principles for the protection of human rights and freedoms (prohibition of persecution on religious, racial, political and other characteristics).The author classifies the categories of crimes for which the provisions of Article 3 of the Charter apply, and also identifies exceptions from these categories based on the characteristics of criminal law. The basis of the conducted research is the method of comparative legal analysis of normative legal acts, which allowed us to deduce some patterns, the application of international law, the protection of human rights and freedoms from criminally punishable signs of an act.

Efficient person search via learning-to-normalize deep representation

The task of person search is to search for the target pedestrian in the scene images with the given query image, which means to perform detection and re-identification at the same time. In this paper, we propose a one-step method to jointly handle the two subtasks of person search using an end-to-end framework. The proposed framework contains the feature learning module and the multi-task learning module. We explore the performance of learning-to-normalize deep representation on the feature learning module, which allows the network to achieve normalizer selection on each normalization layer. To solve the imbalance problem of hard-to-classify examples, we introduce the focal loss in the multi-task learning module. Besides, we adopt the gradient generalization centralization technique, which makes the training process more stable and enhances the generalization ability of the model. We present extensive experiments on two benchmark datasets, i.e., CUHK-SYSU and PRW. Experimental results prove that our method outperforms the state-of-the-art one-step methods and has a competitive performance compared with two-step methods.

Improving embedding learning by virtual attribute decoupling for text-based person search

Improving embedding learning by virtual attribute decoupling for text-based person search

Search for Persons in Latvia and Abroad

People disappear for different reasons: someone avoids legal proceedings or punishment, another one has been kidnapped or killed, lost, or someone else wants to start their life again elsewhere. The aim of this publication is to evaluate the procedure of search for persons, providing an insight into the legal basis for starting search at a national level and describing the conditions for search for persons outside the borders of Latvia. In order to implement the intended, the author evaluates national and international legal norms that affect the process of searching for persons, describes possible problems and provides recommendations for their solution. Incorrect understanding and application of legal norms creates violations of rights. Respect for the rule of law, on the other hand, is a precondition for respect for human dignity, freedom, democracy, equality, and human rights. In performing the set tasks, the author used analytical, comparative, descriptive methods. The study has led to conclusions that at a national level it is possible to initiate search for a person for various purposes within the framework of criminal proceedings, operational activities, administrative offence proceedings, and resoric test. However, the inclusion of data in the SIS is allowed only in the framework of criminal proceedings and operational activities. National regulations should provide for procedure for the implementation of Regulation 2018/1862 alerts for the purpose of “travel ban”. The imprecise legal provisions need to be improved to facilitate cooperation at a national and international level.

BUSCA PESSOAL NO POLICAMENTO PREVENTIVO E REPRESSIVO. FUNDAMENTO CONSTITUCIONAL E STANDARDS PROBATÓRIOS AUTORIZADORES

The personal serch is used as a preventive and repressive policing measure. Decisions of the Superior Court of Justice limited its legitimacy to the envidentiary purpose and restricted the hypotheses characterizing the well-founded suspicion capable of motivating the Search. Through the use of deductive methodology, bibliographic and jurisprudential research, the reserach intends to investigate whether the personal search as a preventive police measure it is constitutional; if there is consistency in the judgments of the Superior Court of Justice and if it is possible to suggest objective elements that fulfill the evidentiary standard of well-founded suspicion required by the Code of Criminal Procedure. Objectives: 1. To analyze the constitutionality of the personal search as a preventive police measure. 2. Identify the main judgments of the Superior Courts on the personal search. 3. Suggest objective elements that fulfill the evidentiary standard of well-founded suspicion required by the Criminal Procedure Code. The conclusion is that the personal search is na importante tool for the realization of the fundamental right to public security and finds constitutional support to be used in the preventive and repressive scope. The situational factors of suspicious attitude, criminal rates and characteristics of the environment fulfill the evidentiary standard required by the Criminal Procedure Code.

Person search by similarity of clothing using clothing database

Person search by similarity of clothing using clothing database

Using unmanned aerial vehicles during the search of people buried in an avalanche

The article deals with the possibilities of using unmanned aerial vehicles (UAV) and the creation of a functional prototype of an unmanned aerial vehicle suitable for search and rescue activities. It deals in more detail with the search and rescue of persons buried by an avalanche. In the individual chapters of the paper, issues related to current ways of searching for people in avalanche terrain, specific procedures for searching for individuals or groups of people covered by avalanches are processed. After evaluating the current procedures for searching for people buried in an avalanche, the article focuses on the possibilities of searching for people buried in an avalanche using UAVs. To search for people in an avalanche, a prototype search device was created, which was placed from the bottom of an UAV. The search device prototype consists of an avalanche finder, a signal transmitter intended for FPV flight systems, a power battery and a camera. The camera is used to capture the image from the avalanche search device, which is transmitted to the FPV goggles of the UAV operator through the transmitter. The output of the article is a functional prototype of an avalanche search device, which is suitable for searching for persons buried in an avalanche.

A5] Construction of personal names search system using the University of Tokyo Archives collection database and management

A5] Construction of personal names search system using the University of Tokyo Archives collection database and management

Розыск лиц, совершивших преступления против жизни и здоровья, уклоняющихся от органов следствия, дознания и суда

The article examines the specific set of operational search and tactical forensic methods of searching for persons who have committed crimes. The methods are arranged in line with information blocks that can be easily entered into computer databases. The analysis of group rules and techniques typically used for specific groups of wanted persons is the content of the current stage of research of investigative actions. One of the central ideas of the article is the provision that the international search is one of the effective measures for identifying and detaining wanted persons. However, this measure has a number of disadvantages: a limited number of participating countries, peculiarities of the legislation of the participating countries, the dual or other citizenship of the wanted person, limited international procedural terms for the provision of documents confirming the search, and other subtleties of international law. These factors often impede the achievement of the final goal of the search (transportation of the wanted person to the initiator of the search). The relevance of finding a balance in the correlation of public and tacit methods used in the effective establishment of the wanted person's location, regardless of the state, within the established procedure for declaring persons wanted is emphasized. In terms of content, the presented material is an algorithm for the search for persons who have committed crimes against life and health, and evade the investigation, inquiry, and court bodies. The algorithm is based on unique operational search situations.

Intervention to Reduce the Consumption of Toxic substances from the perspective of Chinese Medicine in Adolescent High school Students

Adolescents have been the object of considerable attention in recent years, despite which knowledge of this period of life is limited; Since the correlation between the development of intelligence and character is still not well known, and the physiological variables that intervene at this age have been established in an incipient way, the main problem of the adolescent is that of the search for personality, since that at this stage he must develop basic values and strengthen his controls to act in society, but at the same time he is pushed to anarchic action. This situation creates rebellion against the family and society for the adolescent, a feeling of misunderstanding, temperament problems, moral problems. In Mexico, 9.2% of adolescents consume tobacco, 30% alcohol and 1.5% other drugs. In the State of Mexico about 70.8% of adolescents consume alcohol, 40.7% tobacco and 22.2% have used illegal drugs. Regarding the municipality of Ecatepec, 28% of adolescents consume alcohol, 22.4% tobacco, 7.7% marijuana and 2.6% consume cocaine. In a general analysis of the background, it was observed that the Municipality of Ecatepec occupies the first place in the State of Mexico, in relation to the consumption of alcohol, tobacco and illicit drugs by high school youth, which constitutes a serious problem of Public Health. Dependence on psychoactive substances or drug addiction, constitute the characteristic syndrome that defines the appearance of disease, aroused by curiosity, group pressure or the search for sensations, continuing with social consumption, aroused more by motivations and "positive" reinforcement. ” that provide drugs and progressing to abuse. Develop an intervention model to improve healthy lifestyles and reinforce the management of emotions in adolescents at risk of addictions, at the Adolfo López Mateos Secondary School 127 in the Municipality of Ecatepec in the State of Mexico . DESIGN: The present work is an intervention study evaluated through a quasi- experimental design. With pre and post intervention evaluation and comparison group. The study population will be students who are between the ages of 11 and 15, divided into two groups.

Релігійність Юрія Липи (1900–1944)

The article deals with the presence of religion in the life and work of Ukrainian public and cultural figure, doctor, writer and thinker Yuri Lypa. The definition of „religiousness” is given, relevant biographical facts found, non-random works are analyzed. Yuriy Lypa is a native of Poltava region (town of Stari Sanzhary, April 22, 1900, 5.05 in the new style). After the adoption by his family of his father – a doctor, writer, politician Ivan Lypa – he lived in the Odessa region (1909-1918). Participant in revolutionary events in Odessa (1917–1918), co-founder of the publishing house „Narodni Styag” (1917–1936). Yu. Lypa studied law at Odessa (1918) and Kamyanets-Podilsky (1919–1920) universities and medicine at the universities of Poznan (1922–1928) and Vilno (1932). During 1929–1943 Yu. Lypa lived in Warsaw, where he carried out his medical, literary, scientific and public activities. Member and co-organizer of the literary groups „Soncecvit” (1921) and „Tank” (1929), the Ukrainian student corporation „Chornomore” (1925–1933), the Ukrainian Economic Bureau (1933–1934); Ukrainian Black Sea Institute (1940–1944). Yu. Lypa’s creative legacy includes more than 360 poetic and prose works, publicistic and medical works. The last year of his life (1943–1944) was in the Lviv region (Yavoriv, Buniv and Ivanyky). Yu. Lypa was tortured by the enkavedysts on August 19, 1944 for being a UPA doctor. From many interpretations of religiosity as spirituality and faith, religious knowledge and practices, the subjective manifestation of the existence of religion, etc., to analyze the emergence of this worldview trait chosen understanding of the phenomenon by the Pope Ivan Pavlo II: „Religiousness originates from a deep human desire for truth and underlies the free and personal search for the divine”. Yuri Lypa’s religiousness arose and deepened under the external influence (origination, upbringing, environment) and the internal needs of personal development, as well as a result of his spiritual experience, including spiritual practices.

Merging Super Resolution and Attribute Learning for Low-Resolution Person Attribute Recognition

In video surveillance, visual person attributes such as gender, backpack, type of clothing are crucial for person search or re-identification. For detecting and retrieving these attributes with high accuracy, the availability of high-quality videos is a necessity in general. However, this cannot be guaranteed in general surveillance videos or images; beside improving hardware technology, improving inference algorithms on low-resolution data is valuable. This paper attempts to propose two solutions in this direction: designing a combined neural network architecture from existing architectures, and a novel combination approach toward re-identification on low-resolution videos. The proposed architecture introduces a combined Neural Network architecture, called SRMAR, that jointly trains Super Resolution and Multi Attribute Recognition models for more effective recognition. Experiments on two benchmark datasets demonstrate the effectiveness and applicability of the proposed neural network architecture for low-resolution multi-attribute recognition. Furthermore, a higher-level linear combination scheme that optimally combines the proposed SRMAR architecture and multi-attribute recognition network is presented, yielding superior results in low-resolution person attribute recognition.

Dual-Attention-Driven Multiscale Fusion Object Searching Network for Remote Sensing Imagery

Object search is a challenging yet important task. Many efforts have been made to address this issue and achieve great progress in natural image, yet searching all specified types of objects from remote sensing image is barely studied. In this work, we are interested in searching objects from remote sensing images. Compared to person search in natural scenes, this task is challenging in two factors: One is that remote image usually contains a large number of objects, which poses a great challenge to characterize the object features. Another is that the objects in remote sensing images are dense, which easily yields erroneous localization. To address these issues, we propose a new end-toend deep learning framework for object search in remote sensing images. First, we propose a multi-scale feature aggregation (MSFA) module, which strengthens the representation of lowlevel features by fusing multi-layer features. The fused features with richer details significantly improve the accuracy of object search. Second, we propose a dual-attention object enhancement (DAOE) module to enhance features from channel and spatial dimensions. The enhanced features significantly improve the localization accuracy for dense objects. Finally, we built two challenging datasets based on the remote sensing images, which contains complex changes in space and time. The experiments and comparisons demonstrate the state-of-the-art performance of our method on the challenging datasets.

SUDDENLY, TEACHER! PATHS TAKEN BY NURSES SEARCHING FOR TEACHER TRAINING

ABSTRACT Objective: to know the paths taken by the nurse-teachers of the Nursing technical course in search of their training for the teaching career. Method: a qualitative and cross-sectional research study, carried out with nurses who teach at the Nursing technical course of a Technical School of the Unified Health System in Ceará. The data were collected through a focus group in October 2019, and analyzed according to Bardin's thematic content analysis, with the aid of the Qualitative Data Analysis Software. Results: the paths for nurses' teacher training permeate their motivation to enter the teaching career, whose reasons are related to the difficulty finding a job in the assistance area, invitation to teach, job opportunity or existence of some need; initial performance in teaching, which emphasizes mid-level; and by training itself, which had its need confirmed and, from the participants' perspective, met through participation in institutional qualifications and personal search for specialization courses. Conclusion: the paths taken by nurse-teachers in search of their training for the teaching career are related to the reasons why they enter teaching, with their initial performance in teaching and with teacher training itself, regarding verification of their need and ways accessed for such qualification. The nurse's prior training for the teaching practice ultimately points to professional excellence and appreciation and commitment to the Unified Health System. Thus, it becomes imperative to (re)formulate policies that consider the complexity and professionality of teaching, with a view to expert teaching training and performance.

Conditional Feature Learning Based Transformer for Text-Based Person Search.

Text-based person search aims at retrieving the target person in an image gallery using a descriptive sentence of that person. The core of this task is to calculate a similarity score between the pedestrian image and description, which requires inferring the complex latent correspondence between image sub-regions and textual phrases at different scales. Transformer is an intuitive way to model the complex alignment by its self-attention mechanism. Most previous Transformer-based methods simply concatenate image region features and text features as input and learn a cross-modal representation in a brute force manner. Such weakly supervised learning approaches fail to explicitly build alignment between image region features and text features, causing an inferior feature distribution. In this paper, we present CFLT, Conditional Feature Learning based Transformer. It maps the sub-regions and phrases into a unified latent space and explicitly aligns them by constructing conditional embeddings where the feature of data from one modality is dynamically adjusted based on the data from the other modality. The output of our CFLT is a set of similarity scores for each sub-region or phrase rather than a cross-modal representation. Furthermore, we propose a simple and effective multi-modal re-ranking method named Re-ranking scheme by Visual Conditional Feature (RVCF). Benefit from the visual conditional feature and better feature distribution in our CFLT, the proposed RVCF achieves significant performance improvement. Experimental results show that our CFLT outperforms the state-of-the-art methods by 7.03% in terms of top-1 accuracy and 5.01% in terms of top-5 accuracy on the text-based person search dataset.

Joint Token and Feature Alignment Framework for Text-Based Person Search

Text-based person search is a challenging crossmodal retrieval task. Existing works reduce the inter-modality and intra-class gaps by aligning local features extracted from image and text modalities, which easily lead to mismatching problems due to the lack of annotation information. Besides, it is sub-optimal to reduce two gaps simultaneously in the same feature space. This work proposes a novel joint token and feature alignment framework to reduce the inter-modality and intraclass gaps progressively. Specifically, we first build a dual-path feature learning network to extract features and conduct feature alignment to reduce the inter-modality gap. Second, we design a text generation module to generate token sequences using visual features, and then token alignment is performed to reduce the intra-class gap. Last, a fusion interaction module is introduced to further eliminate the modality heterogeneity using the strategy of multi-stage feature fusion. Extensive experiments on the CUHKPEDES dataset demonstrate the effectiveness of our model, which significantly outperforms previous state-of-the-art methods.