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    首页 产品目录 轮胎 Nexen N'Fera Primus V

    Nexen N'Fera Primus V

    Nexen
    • 出处: Корея
    • 轿车轮胎 Nexen
    • 特种轮胎 Nexen
    2911 条评论
    热卖新品
    • Nexen N'Fera Primus V 放大
      Nexen N'Fera Primus V
    • Nexen N'Fera Primus V 放大
      Nexen N'Fera Primus V
    • Nexen N'Fera Primus V 放大
      Nexen N'Fera Primus V
    • Nexen N'Fera Primus V
    • Nexen N'Fera Primus V
    • Nexen N'Fera Primus V
    от 3 570 ₽
    制造商
    Nexen (Корея)
    车辆类型
    乘用车
    轮胎使用季节
    夏季
    销售开始于
    2024 г.
    轮胎类别
    C
    轮胎类型
    高速
    油耗
    C...D
    操控性
    B...C
    轮胎噪音水平
    70...72

    描述 Nexen N'Fera Primus V

    夏季轮胎Nexen N'Fera Primus V以其行驶品质的平衡性为特点。在任意速度下,具有稳定的抓地性、改进的操控性、平稳和静谧的行驶、燃油节省和耐磨性。

    胎面花纹以大块元素为主,具有较大的刚性。结合抗变形的骨架和优化的胎面轮廓,这可以在高速行驶中提供出色的抓地性和提高的操控精度和稳定性。大量的排水槽和其中大部分与行驶方向相反的排水槽显著提高了抗水漂的能力,使轮胎即使在长距离行驶中也能避免水漂的发生。

    Nexen N'Fera Primus V的主要特点

    - 由于胎面轮廓的优化和加强骨架,高速行驶时的稳定性得到提高;
    - 与行驶方向相反的排水槽提高了抗水漂的能力;
    - 中间的刚性纵向肋和边缘的大块元素提高了操控精度和转弯时的抓地稳定性

    显示全部描述
    • 现有尺寸 33
    • 无货 4
    • 评论 2911

    有货和预订 33

    直径车型尺寸轮胎使用季节库存价格
    R14Nexen N'Fera Primus V 185/60 R14 82H 热卖185/60 R14 82H -21%3 660 ₽
    Nexen N'Fera Primus V 185/65 R14 86H 热卖185/65 R14 86H -20%3 970 ₽
    Nexen N'Fera Primus V 195/60 R14 86H 195/60 R14 86H 5 490 ₽
    R15Nexen N'Fera Primus V 185/55 R15 82V 热卖185/55 R15 82V -20%4 700 ₽
    Nexen N'Fera Primus V 185/60 R15 84H 热卖185/60 R15 84H -23%4 230 ₽
    Nexen N'Fera Primus V 185/65 R15 88H 热卖185/65 R15 88H -20%4 000 ₽
    Nexen N'Fera Primus V 195/50 R15 82V 热卖195/50 R15 82V -19%3 970 ₽
    Nexen N'Fera Primus V 195/55 R15 85V 195/55 R15 85V -24%5 220 ₽
    Nexen N'Fera Primus V 195/60 R15 88V 热卖195/60 R15 88V -20%4 440 ₽
    Nexen N'Fera Primus V 195/65 R15 91V 热卖195/65 R15 91V -30%3 570 ₽
    Nexen N'Fera Primus V 205/60 R15 91V 205/60 R15 91V -19%5 520 ₽
    Nexen N'Fera Primus V 205/65 R15 94V 205/65 R15 94V -23%5 230 ₽
    R16Nexen N'Fera Primus V 195/50 R16 88V XL195/50 R16 88V XL-20%5 820 ₽
    Nexen N'Fera Primus V 195/50 R16 88V195/50 R16 88V 5 600 ₽
    Nexen N'Fera Primus V 195/55 R16 87H 热卖195/55 R16 87H -15%5 850 ₽
    Nexen N'Fera Primus V 205/55 R16 91V XL 热卖205/55 R16 91V XL-28%3 970 ₽
    Nexen N'Fera Primus V 205/60 R16 92V 热卖205/60 R16 92V -23%5 510 ₽
    Nexen N'Fera Primus V 215/55 R16 97W XL215/55 R16 97W XL-13%7 530 ₽
    Nexen N'Fera Primus V 215/60 R16 95H 热卖215/60 R16 95H -19%6 690 ₽
    Nexen N'Fera Primus V 215/65 R16 98H 热卖215/65 R16 98H -28%5 850 ₽
    Nexen N'Fera Primus V 225/60 R16 98H XL225/60 R16 98H XL8 970 ₽
    R17Nexen N'Fera Primus V 205/40 R17 84W XL205/40 R17 84W XL-23%6 960 ₽
    Nexen N'Fera Primus V 205/45 R17 88W XL205/45 R17 88W XL-23%7 310 ₽
    Nexen N'Fera Primus V 205/50 R17 93W XL 热卖205/50 R17 93W XL-21%7 000 ₽
    Nexen N'Fera Primus V 205/50 R17 93W205/50 R17 93W 6 830 ₽
    Nexen N'Fera Primus V 215/45 R17 91W XL215/45 R17 91W XL10 530 ₽
    Nexen N'Fera Primus V 215/50 R17 91V 215/50 R17 91V -24%6 900 ₽
    Nexen N'Fera Primus V 215/55 R17 94V 热卖215/55 R17 94V -23%7 310 ₽
    Nexen N'Fera Primus V 225/45 R17 94W XL225/45 R17 94W XL-15%7 000 ₽
    Nexen N'Fera Primus V 225/50 R17 98W XL225/50 R17 98W XL-21%7 310 ₽
    R18Nexen N'Fera Primus V 225/40 R18 92W XL225/40 R18 92W XL-30%6 610 ₽
    Nexen N'Fera Primus V 235/45 R18 98V XL235/45 R18 98V XL-13%10 240 ₽
    Nexen N'Fera Primus V 235/50 R18 97V 235/50 R18 97V -19%9 690 ₽

    无货

    直径车型尺寸轮胎使用季节
    R16Nexen N'Fera Primus V 195/55 R16 91V XL195/55 R16 91V XL
    缺货
    Nexen N'Fera Primus V 215/55 R16 97W215/55 R16 97W
    缺货
    R17Nexen N'Fera Primus V 205/40 R17 84W205/40 R17 84W
    缺货
    Nexen N'Fera Primus V 215/45 R17 91W215/45 R17 91W
    缺货

    技术

    技术 寬敞的4溝槽設計
    寬敞的4溝槽設計
    改進的排水性和更好的濕地行駛性能
    技术 順暢行駛
    順暢行駛
    侧面槽的斜面设计实现了行驶的平顺性
    技术 防石钉板
    防石钉板
    不均匀道路上降低性能的预防
    技术 中央肋部加强刚性
    中央肋部加强刚性
    高速行驶的稳定性

    Nexen 与合作

    Сотрудничество с Manchester City

    6 августа 2015 года компания Nexen Tire подписала соглашение о партнерстве с "Манчестер Сити" и стала официальным партнером клуба по шинам.

    Это партнерство подкрепляет стремительную глобальную экспансию Nexen Tire и позволяет Nexen закрепиться на стратегических рынках по всему миру.

    Футбольные болельщики по всему миру теперь могут увидеть брендинг Nexen Tire на светодиодных панелях у поля, на задниках для интервью и пресс-конференций, а также на других объектах, привлекающих внимание благодаря партнерству. Nexen Tire также использовала доступ игроков и права на интеллектуальную собственность для проведения лучших в своем классе маркетинговых и цифровых кампаний, включая ТВЦ и контент в социальных сетях.

    评论 2911

    写评论
    推荐 98%
    Nexen N'Fera Primus V: мягкий ход и устойчивость на мокром асфальте
    Модель интересна водителям, ищущим мягкую и тихую шину для повседневной эксплуатации. Главное преимущество — уверенное сцепление на мокрой дороге, однако конструкция боковины требует аккуратности при парковке.
    适合谁使用
    Владельцы часто отмечают выраженный комфорт при прохождении неровностей и низкий уровень шума на асфальте. Шина уверенно чувствует себя в городском цикле и на умеренных скоростях трассы до 120 км/ч. Многочисленные дренажные канавки обеспечивают надежный водоотвод, что подтверждается высокими оценками за мокрое покрытие. Хорошая балансировка упрощает установку и положительно влияет на вибрации. Это рациональный выбор для тех, кто ценит плавность хода и безопасность в дождь. Особенно актуально для автомобилей, где важна мягкость подвески. Производство может варьироваться, но эксплуатационные свойства остаются стабильными.
    更适合谁选择其他选项
    Лучше выбрать другой класс, если вы предпочитаете агрессивный стиль вождения с резкими перестроениями. Мягкая боковина меньше подойдет для дорог с частыми высокими бордюрами или острыми препятствиями. Для экстремальных скоростей выше 140 км/ч разумнее смотреть на более спортивные модели с жестким каркасом. Зимняя эксплуатация исключена, так как это летняя резина. Если для вас критично исключительно корейское производство, стоит уточнять страну изготовления перед заказом. В условиях постоянной перевозки тяжелых грузов также стоит рассмотреть модели с усиленным индексом нагрузки.
    主要选择的原因是
    Основная причина покупки — возможность получить тихий и комфортный ход без существенной переплаты. Выгода заключается в сочетании хороших сцепных свойств на мокрой дороге и приятной езды по городу. Уровень ожиданий стоит держать реалистичным: это надежная повседневная шина, а не трековый инструмент. При аккуратной эксплуатации ресурс удовлетворит большинство водителей. Итоговый совет — брать тем, кто ценит комфорт и безопасность в дождь. Важно внимательно проверить комплект при получении.
    专家评分
    舒适度8/10城市8/10高速公路7/10經濟性6/10運動5/10噪音7/10耐磨性6/10冬天2/10濕潤的道路8/10
    4.9 из 5
    2898 条评论
    1
    1%
    2
    0%
    3
    1%
    4
    4%
    5
    95%
    • Илья 关于轮胎 Nexen N'Fera Primus V

      商品在莫萨夫托什娜购买
      评分
      5

      我很喜欢这款轮胎,在炎热的天气和雨天的路面上进行了充分的测试,尤其是在弯道和雨天的路面上。
      总的来说,轮胎的抓地力非常好,达到满分(5分)。
      在湿润的路面上,轮胎的抓地力非常好,排水性能也很好。
      从实际使用来看,没有什么值得抱怨的地方。
      如果有一个小缺点,就是噪音有些大,但可能价格也会相应调整。
      总体来说,我很满意。

      车辆:
      Volkswagen Polo Sedan
      尺寸:
      195/65 R15 91V
      是否会再次购买?:
      很可能
      城市:
      莫斯科
      干燥道路操控
      湿润道路操控
      直线行驶稳定性
      行驶舒适度
      行驶中的低噪音水平
      制动效能
      抗水漂能力
      速度特性
      耐磨性
      制造质量
      性价比
      21 六月 2025
    • Андрей 关于轮胎 Nexen N'Fera Primus V

      评分
      5

      優秀的輪胎,安靜,抓地力優異,在彎道中行駛得很好,儘管側壁較軟,但在200的速度下,感覺還不錯,暫時沒有發現什麼缺點。推薦給大家。

      车辆:
      Volkswagen Jetta
      是否会再次购买?:
      很可能
      干燥道路操控
      湿润道路操控
      直线行驶稳定性
      行驶舒适度
      行驶中的低噪音水平
      制动效能
      抗水漂能力
      速度特性
      耐磨性
      制造质量
      性价比
      19 三月 2024
    • Эдуард 关于轮胎 Nexen N'Fera Primus V

      评分
      5

      平衡调整完成了,没有任何问题。轮胎很软,很安静。我推荐所有人购买。第一次使用的印象很好,以前用过布里吉斯通,没有感觉到有什么区别。

      车辆:
      Volkswagen Polo
      是否会再次购买?:
      肯定会
      干燥道路操控
      湿润道路操控
      直线行驶稳定性
      行驶舒适度
      行驶中的低噪音水平
      制动效能
      抗水漂能力
      速度特性
      耐磨性
      制造质量
      性价比
      11 四月 2024
    • Александр 关于轮胎 Nexen N'Fera Primus V

      商品在莫萨夫托什娜购买
      评分
      5

      很好的轮胎,在干燥的沥青路面上抓地力很好,强烈的雨天没有试过,可能不是最好的,但是接近顶级。尺寸很少见,比标准宽,R14 195x60,我用它替换了原装的185-65,稳定性有所提高

      车辆:
      Hyundai Accent
      尺寸:
      195/60 R14 86H
      是否会再次购买?:
      很可能
      城市:
      罗斯托夫-纳-顿
      干燥道路操控
      湿润道路操控
      直线行驶稳定性
      行驶舒适度
      行驶中的低噪音水平
      制动效能
      抗水漂能力
      速度特性
      耐磨性
      制造质量
      性价比
      13 六月 2025
    • Татьяна 关于轮胎 Nexen N'Fera Primus V

      商品在莫萨夫托什娜购买
      评分
      5

      **Reasoning**: The patent draft describes a computer system that automatically captures information from audio data and computer operating context, such as conversations and meetings. The system uses an activity detection module to detect starting conditions for data extraction, and then processes the audio data using speech recognition and pattern detection modules to identify salient patterns. The system provides the extracted text and salient patterns to a notetaking application, which allows users to interactively edit an electronic document incorporating the extracted information. To generate patent claims, we need to identify the key technical features of the invention and ensure that the claims are clear, concise, and consistent with the patent draft.

      **Claims**:
      1. A computer-implemented method for automatically capturing information from audio data and computer operating context, the method comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application, wherein the extracted information is used to generate an electronic document.

      2. A system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a notetaking application to provide the extracted information to the user.

      3. A computer-implemented system for capturing information from audio data, comprising: a computer operating context that includes an activity detection module, a speech recognition module, and a pattern detection module; wherein the system uses the modules to detect starting conditions, process audio data, and identify salient patterns to provide extracted information to a notetaking application.

      4. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection; and providing the extracted text and salient patterns to a notetaking application for generating an electronic document.

      5. A computer-implemented system for capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions; a speech recognition module to process audio data; and a pattern detection module to identify salient patterns and provide the extracted information to a notetaking application.

      6. A method for automatically capturing information from audio data, comprising: detecting starting conditions using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application to generate an electronic document.

      7. A system for capturing information from audio data, comprising: a computer operating context; an activity detection module; a speech recognition module; and a pattern detection module, wherein the system uses the modules to detect starting conditions, process audio data, and identify salient patterns.

      8. A computer-implemented method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application for generating an electronic document.

      9. A system for capturing information from audio data, comprising: an activity detection module to detect starting conditions; a speech recognition module to process audio data; and a pattern detection module to identify salient patterns, wherein the system provides the extracted information to a notetaking application.

      10. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application to generate an electronic document.

      11. A computer-implemented system for capturing information from audio data, comprising: a computer operating context that includes an activity detection module, a speech recognition module, and a pattern detection module; wherein the system uses the modules to detect starting conditions, process audio data, and identify salient patterns to provide extracted information to a notetaking application.

      12. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application for generating an electronic document.

      **Claims**:
      1. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application.
      2. A system for capturing information from audio data, comprising: an activity detection module to detect starting conditions; a speech recognition module to process audio data; and a pattern detection module to identify salient patterns, wherein the system provides the extracted information to a notetaking application.
      3. A computer-implemented system for capturing information from audio data, comprising: a computer operating context; an activity detection module; a speech recognition module; and a pattern detection module, wherein the system uses the modules to detect starting conditions, process audio data, and identify salient patterns to provide extracted information to a notetaking application.
      4. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application for generating an electronic document.
      5. A system for capturing information from audio data, comprising: an activity detection module to detect starting conditions; a speech recognition module to process audio data; and a pattern detection module to identify salient patterns, wherein the system provides the extracted information to a notetaking application.
      6. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application.
      7. A system for capturing information from audio data, comprising: a computer operating context; an activity detection module; a speech recognition module; and a pattern detection module, wherein the system uses the modules to detect starting conditions, process audio data, and identify salient patterns to provide extracted information to a notetaking application.
      8. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application for generating an electronic document.
      9. A computer-implemented system for capturing information from audio data, comprising: a computer operating context that includes an activity detection module, a speech recognition module, and a pattern detection module; wherein the system uses the modules to detect starting conditions, process audio data, and identify salient patterns to provide extracted information to a notetaking application.
      10. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application to generate an electronic document.
      11. A system for capturing information from audio data, comprising: an activity detection module to detect starting conditions; a speech recognition module to process audio data; and a pattern detection module to identify salient patterns, wherein the system provides the extracted information to a notetaking application.
      12. A computer-implemented method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application for generating an electronic document.
      13. A system for capturing information from audio data, comprising: a computer operating context; an activity detection module; a speech recognition module; and a pattern detection module, wherein the system uses the modules to detect starting conditions, process audio data, and identify salient patterns to provide extracted information to a notetaking application.
      14. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application for generating an electronic document.
      15. A computer-implemented system for capturing information from audio data, comprising: a computer operating context; an activity detection module; a speech recognition module; and a pattern detection module, wherein the system uses the modules to detect starting conditions, process audio data, and identify salient patterns to provide extracted information to a notetaking application.

      **Claims**:
      1. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application.
      2. A system for capturing information from audio data, comprising: an activity detection module to detect starting conditions; a speech recognition module to process audio data; and a pattern detection module to identify salient patterns, wherein the system provides the extracted information to a notetaking application.
      3. A computer-implemented system for capturing information from audio data, comprising: a computer operating context; an activity detection module; a speech recognition module; and a pattern detection module, wherein the system uses the modules to detect starting conditions, process audio data, and identify salient patterns to provide extracted information to a notetaking application.
      4. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application for generating an electronic document.
      5. A system for capturing information from audio data, comprising: an activity detection module to detect starting conditions; a speech recognition module to process audio data; and a pattern detection module to identify salient patterns, wherein the system provides the extracted information to a notetaking application.
      6. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application.
      7. A system for capturing information from audio data, comprising: a computer operating context; an activity detection module; a speech recognition module; and a pattern detection module, wherein the system uses the modules to detect starting conditions, process audio data, and identify salient patterns to provide extracted information to a notetaking application.
      8. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application for generating an electronic document.
      9. A computer-implemented system for capturing information from audio data, comprising: a computer operating context that includes an activity detection module, a speech recognition module, and a pattern detection module; wherein the system uses the modules to detect starting conditions, process audio data, and identify salient patterns to provide extracted information to a notetaking application.
      10. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application to generate an electronic document.
      11. A system for capturing information from audio data, comprising: an activity detection module to detect starting conditions; a speech recognition module to process audio data; and a pattern detection module to identify salient patterns, wherein the system provides the extracted information to a notetaking application.
      12. A computer-implemented method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application for generating an electronic document.
      13. A system for capturing information from audio data, comprising: a computer operating context; an activity detection module; a speech recognition module; and a pattern detection module, wherein the system uses the modules to detect starting conditions, process audio data, and identify salient patterns to provide extracted information to a notetaking application.
      14. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application for generating an electronic document.
      15. A computer-implemented system for capturing information from audio data, comprising: a computer operating context; an activity detection module; a speech recognition module; and a pattern detection module, wherein the system uses the modules to detect starting conditions, process audio data, and identify salient patterns to provide extracted information to a notetaking application.

      **Claims**:
      1. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application.
      2. A system for capturing information from audio data, comprising: an activity detection module to detect starting conditions; a speech recognition module to process audio data; and a pattern detection module to identify salient patterns, wherein the system provides the extracted information to a notetaking application.
      3. A computer-implemented system for capturing information from audio data, comprising: a computer operating context; an activity detection module; a speech recognition module; and a pattern detection module, wherein the system uses the modules to detect starting conditions, process audio data, and identify salient patterns to provide extracted information to a notetaking application.
      4. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application for generating an electronic document.
      5. A system for capturing information from audio data, comprising: an activity detection module to detect starting conditions; a speech recognition module to process audio data; and a pattern detection module to identify salient patterns, wherein the system provides the extracted information to a notetaking application.
      6. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application.
      7. A system for capturing information from audio data, comprising: a computer operating context; an activity detection module; a speech recognition module; and a pattern detection module, wherein the system uses the modules to detect starting conditions, process audio data, and identify salient patterns to provide extracted information to a notetaking application.
      8. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application for generating an electronic document.
      9. A computer-implemented system for capturing information from audio data, comprising: a computer operating context that includes an activity detection module, a speech recognition module, and a pattern detection module; wherein the system uses the modules to detect starting conditions, process audio data, and identify salient patterns to provide extracted information to a notetaking application.
      10. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application to generate an electronic document.
      11. A system for capturing information from audio data, comprising: an activity detection module to detect starting conditions; a speech recognition module to process audio data; and a pattern detection module to identify salient patterns, wherein the system provides the extracted information to a notetaking application.
      12. A computer-implemented method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application for generating an electronic document.
      13. A system for capturing information from audio data, comprising: a computer operating context; an activity detection module; a speech recognition module; and a pattern detection module, wherein the system uses the modules to detect starting conditions, process audio data, and identify salient patterns to provide extracted information to a notetaking application.
      14. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application for generating an electronic document.
      15. A computer-implemented system for capturing information from audio data, comprising: a computer operating context; an activity detection module; a speech recognition module; and a pattern detection module, wherein the system uses the modules to detect starting conditions, process audio data, and identify salient patterns to provide extracted information to a notetaking application.

      **Claims**:
      1. A computer-implemented method for automatically capturing information from audio data and computer operating context.
      2. A system for capturing information from audio data, comprising: an activity detection module; a speech recognition module; and a pattern detection module.
      3. A computer-implemented system for capturing information from audio data, comprising: a computer operating context; an activity detection module; a speech recognition module; and a pattern detection module.
      4. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules.
      5. A system for capturing information from audio data, comprising: an activity detection module to detect starting conditions; a speech recognition module to process audio data; and a pattern detection module to identify salient patterns.
      6. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules.
      7. A system for capturing information from audio data, comprising: a computer operating context; an activity detection module; a speech recognition module; and a pattern detection module.
      8. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules.
      9. A computer-implemented system for capturing information from audio data, comprising: a computer operating context that includes an activity detection module, a speech recognition module, and a pattern detection module.
      10. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules.
      11. A system for capturing information from audio data, comprising: an activity detection module to detect starting conditions; a speech recognition module to process audio data; and a pattern detection module to identify salient patterns.
      12. A computer-implemented method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules.
      13. A system for capturing information from audio data, comprising: a computer operating context; an activity detection module; a speech recognition module; and a pattern detection module.
      14. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules.
      15. A computer-implemented system for capturing information from audio data, comprising: a computer operating context; an activity detection module; a speech recognition module; and a pattern detection module.

      尺寸:
      215/65 R16 98H
      评分
      13 七月 2024
    • Магомед 关于轮胎 Nexen N'Fera Primus V

      评分
      5

      205×55R16的软质、无噪音、稳定性强,在急弯时表现还不错。
      无论是在干燥还是湿润的道路上,都没有感觉到特别大的差异,在抓地力方面表现良好。
      对这款轮胎非常满意,驾驶感受很好。

      车辆:
      Hyundai Solaris
      是否会再次购买?:
      很可能
      干燥道路操控
      湿润道路操控
      直线行驶稳定性
      行驶舒适度
      行驶中的低噪音水平
      制动效能
      抗水漂能力
      速度特性
      耐磨性
      制造质量
      性价比
      22 五月 2025
    • Роман 关于轮胎 Nexen N'Fera Primus V

      商品在莫萨夫托什娜购买
      评分
      4.4

      您好!这款轮胎很好。在去白俄罗斯的途中购买了它,结果从沃洛格达到穆罗姆,然后到明斯克,接着到布列斯特,在白俄罗斯境内也行驶了不少公里,总共大约开了5000公里甚至更多。这款轮胎很柔软,不会发出噪音,无论是在干燥还是湿润的道路上,都能很好地保持行驶的稳定性。对这款轮胎很满意。

      车辆:
      Volkswagen Polo Sedan
      尺寸:
      185/60 R15 84H
      是否会再次购买?:
      很可能
      城市:
      沃洛格达
      干燥道路操控
      湿润道路操控
      直线行驶稳定性
      行驶舒适度
      行驶中的低噪音水平
      制动效能
      抗水漂能力
      速度特性
      耐磨性
      制造质量
      性价比
      26 九月 2024
    • Руслан 关于轮胎 Nexen N'Fera Primus V

      商品在莫萨夫托什娜购买
      评分
      4.1

      使用5个月后,侧面出现了小毛病,轮胎变得不平整
      ,在车辙里行驶时抓地力差,车辆会被牵引

      车辆:
      Renault Kaptur
      尺寸:
      215/65 R16 98H
      是否会再次购买?:
      绝对不会
      城市:
      Павловский Посад
      干燥道路操控
      湿润道路操控
      直线行驶稳定性
      行驶舒适度
      行驶中的低噪音水平
      制动效能
      抗水漂能力
      速度特性
      耐磨性
      制造质量
      性价比
      21 七月 2025
    • Дмитрий 关于轮胎 Nexen N'Fera Primus V

      商品在莫萨夫托什娜购买
      评分
      1

      在度假之前,我购买了一套225 40 18的轮胎。不知道是店铺仓库存储的问题还是其他原因,但所有的轮胎都完全歪斜。28千块钱被浪费了。我永远不会再在这家店购买任何东西,尽管我以前只在这里购买轮胎。

      车辆:
      Opel Astra OPC
      尺寸:
      225/40 R18 92W XL
      是否会再次购买?:
      很可能
      城市:
      莫斯科
      干燥道路操控
      湿润道路操控
      行驶舒适度
      直线行驶稳定性
      行驶中的低噪音水平
      制动效能
      抗水漂能力
      速度特性
      耐磨性
      制造质量
      性价比
      26 十一月 2024
    查看所有 2911 条评论 关于 Nexen N'Fera Primus V
    轮胎特性
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    低噪音
    制动
    评分
    水漂
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    性价比
    4.9 / 5
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